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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1371613</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1371613</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pharmacological profile of dicaffeoylquinic acids and their role in the treatment of respiratory diseases</article-title>
<alt-title alt-title-type="left-running-head">Hufnagel et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2024.1371613">10.3389/fphar.2024.1371613</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hufnagel</surname>
<given-names>Matthias</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2513305/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rademaekers</surname>
<given-names>Andr&#xe9;</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Weisert</surname>
<given-names>Anika</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>H&#xe4;berlein</surname>
<given-names>Hanns</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2782169/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Franken</surname>
<given-names>Sebastian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2220890/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Engelhard Arzneimittel GmbH &#x26; Co. KG</institution>, <addr-line>Niederdorfelden</addr-line>, <country>Germany</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Medical Faculty</institution>, <institution>Institute of Biochemistry and Molecular Biology</institution>, <institution>University of Bonn</institution>, <addr-line>Bonn</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/102974/overview">Alan de Aguiar Lopes</ext-link>, Concordia University, Canada</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/555879/overview">Monika E. Czerwi&#x144;ska</ext-link>, Medical University of Warsaw, Poland</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1446331/overview">Fei Zhou</ext-link>, Northwestern University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1417421/overview">Wei Zou</ext-link>, Hunan Provincial Maternal and Child Health Care Hospital, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1816463/overview">Yongrui Bao</ext-link>, Liaoning University of Traditional Chinese Medicine, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Matthias Hufnagel, <email>m.hufnagel@engelhard.de</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1371613</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>08</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Hufnagel, Rademaekers, Weisert, H&#xe4;berlein and Franken.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Hufnagel, Rademaekers, Weisert, H&#xe4;berlein and Franken</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Dicaffeoylquinic acids (DCQAs) are polyphenolic compounds found in various medicinal plants such as <italic>Echinacea species</italic> and <italic>Hedera helix,</italic> whose multi-constituent extracts are used worldwide to treat respiratory diseases. Besides triterpenes, saponins, alkamides, and other constituents, DCQAs are an important group of substances for the pharmacological activity of plant-derived extracts. Therefore, the pharmacological properties of DCQAs have been studied over the last decades, suggesting antioxidative, anti-inflammatory, antimicrobial, hypoglycaemic, cardiovascular protective, neuroprotective, and hepatoprotective effects. However, the beneficial pharmacological profile of DCQAs has not yet been linked to their use in treating respiratory diseases such as acute or even chronic bronchitis. The aim of this review was to assess the potential of DCQAs for respiratory indications based on published <italic>in vitro</italic> and <italic>in vivo</italic> pharmacological and pre-clinical data, with particular focus on antioxidative, anti-inflammatory, and respiratory-related effects such as antitussive or antispasmodic properties. A respective literature search revealed a large number of publications on the six DCQA isoforms. Based on this search, a focus was placed on 1,3-, 3,4-, 3,5-, and 4,5-DCQA, as the publications focused mainly on these isomers. Based on the available pre-clinical data, DCQAs trigger cellular mechanisms that are important in the treatment of respiratory diseases such as decreasing NF-&#x3ba;B activation, reducing oxidative stress, or activating the Nrf2 pathway. Taken together, these data suggest an essential role for DCQAs within herbal medicines used for the treatment of respiratory diseases and highlights the need for the identifications of DCQAs as lead substances within such extracts.</p>
</abstract>
<kwd-group>
<kwd>dicaffeoylquinic acid</kwd>
<kwd>isochlorogenic acid</kwd>
<kwd>DCQA</kwd>
<kwd>pre-clinical evaluation</kwd>
<kwd>pharmacological profile</kwd>
<kwd>respiratory disease</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Respiratory Pharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Dicaffeoylquinic acids (DCQAs) are naturally occurring polyphenols and are esters composed of quinic acid and two caffeoyl acid moieties. Taking into account all possible structures with ester bonds on the quinic acid ring structure, a total of six different DCQAs are known, namely, 1,3-, 1,4-, 1,5-, 3,4-, 3,5- and 4,5-DCQA (<xref ref-type="fig" rid="F1">Figure 1</xref>). The DCQAs shown in <xref ref-type="fig" rid="F1">Figure 1</xref> and the data on DCQAs used in this review follow the IUPAC nomenclature. This is noteworthy as many publications present structures that do not comply to the IUPAC system or do not specify the structure of the DCQA used. In this review, the authors have aligned the nomenclature within the cited studies to the IUPAC nomenclature. In general, DCQAs are secondary metabolites and are found in various plants, both used for dietary purposes, such as coffee (<xref ref-type="bibr" rid="B5">Behne et al., 2023</xref>), and in medical plants, e.g., <italic>Hedera helix</italic> (<xref ref-type="bibr" rid="B6">Bezruk et al., 2020</xref>). Furthermore, Wang and colleagues described DCQA being a main constituent in well certain well-known traditional Chinese medicine formulation, e.g., <italic>Shuang-Huang-Lian</italic> and <italic>Reduning</italic> (<xref ref-type="bibr" rid="B103">Wang et al., 2020</xref>). Both are suggested to be effective against respiratory infections (<xref ref-type="bibr" rid="B59">Ma et al., 2017</xref>; <xref ref-type="bibr" rid="B8">Cao et al., 2020</xref>). Biosynthesis of monocaffeoylquinic acid or chlorogenic acid occurs by a combination of the shikimic acid pathway and the phenylpropanoid pathway, as chlorogenic acid represents an intermediate in the biosynthesis of lignin. Currently, the biosynthesis of DCQA is not yet fully understood, however, it is hypothesized to be a result of monocaffeoylquinic acid acylation with caffeoyl-CoA (<xref ref-type="bibr" rid="B5">Behne et al., 2023</xref>). Some toxicological data on DCQAs regarding a safe use is available, specifically on acute toxicity (dermal and oral) and neurotoxicity, which did not identify any adverse findings. The data indicates a low potential for immunotoxicity as a pure substance without protein interaction, but this requires further investigation. Additionally, a sub-chronic toxicity study on a combination of DCQAs and chlorogenic acids is available, which did not identify any safety-related concerns. In addition, <italic>in silico</italic> methods for mutagenicity and carcinogenicity yielded no alerts regarding these endpoints. However, there is currently a lack of data on reproductive toxicity and teratogenicity. From a pharmacological perspective, DCQAs confer various effects and are linked with antioxidative, cardiovascular protective, antibacterial, antiviral, hypoglycemic, hepatoprotective, anti-inflammatory, and neuroprotective effects (<xref ref-type="bibr" rid="B103">Wang et al., 2020</xref>). To the best of the author&#x2019;s knowledge, no review has linked the pharmacological data of DCQAs to their potential for treating inflammatory respiratory diseases such as acute or chronic bronchitis. This paper provides an overview of the available pharmacokinetic and pharmacodynamic data on DCQAs, and highlights their potential for treating such respiratory diseases.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Isoforms of dicaffeoylquinic acids. (Figure created using ChemDraw Pro 8.0, by Perkin Elmer, Waltham, Massachusetts, U.S.).</p>
</caption>
<graphic xlink:href="fphar-15-1371613-g001.tif"/>
</fig>
</sec>
<sec id="s2">
<title>2 Literature research</title>
<p>To assess all available information from DCQAs, a list of search queries containing two descriptors was generated. The substance&#x2019;s identity was defined using the first descriptor, which includes the IUPAC term, available synonyms, as well as the CAS and EC number. The second descriptor defined the pharmacological impact and was categorized into pharmacokinetic, anti-inflammatory, antioxidant, immunomodulatory, and effects related to respiratory disease (<xref ref-type="table" rid="T1">Table 1</xref>). Each descriptor was paired with the keywords of descriptor 2 for searching. The searches were conducted using the PubMed database to obtain our findings.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of search queries applied for data evaluation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Descriptor 1</th>
<th align="center">Descriptor 2</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x201c;1,3-Dicaffeoylquinic acid&#x201d; OR Cynarin OR &#x2033;30,964-13-7&#x2033; OR &#x2033;845-639-3&#x2033;</td>
<td align="left">
<italic>Pharmacokinetic</italic>: (metabolism OR ADME OR pharmacokinetic)</td>
</tr>
<tr>
<td align="left">&#x201c;1,4-Dicaffeoylquinic acid&#x201d; OR &#x2033;1,182-34-9&#x2033; OR &#x2033;214-655-7&#x2033;</td>
<td align="left">
<italic>Anti-inflammatory effect</italic>: (&#x201c;inflammation&#x201d; OR &#x201c;anti-inflammatory&#x201d; OR &#x201c;antiinflammatory")</td>
</tr>
<tr>
<td align="left">&#x201c;1,5-Dicaffeoylquinic acid&#x201d; OR &#x2033;19,870-46-3&#x2033; OR &#x2033;815-081-5&#x2033;</td>
<td align="left">
<italic>Anti-oxidative effect</italic>: (&#x201c;antioxidative&#x201d; OR &#x201c;anti-oxidative&#x201d; OR &#x201c;oxidative stress")</td>
</tr>
<tr>
<td align="left">&#x201c;3,4-Dicaffeoylquinic acid&#x201d; OR &#x201c;isochlorogenic acid C&#x2033; OR &#x2033;57,378-72-0&#x2033;</td>
<td align="left">
<italic>Immunomodulation</italic>: (&#x201c;immunomodulation&#x201d; OR &#x201c;immunomodulative&#x201d; OR &#x201c;immune system")</td>
</tr>
<tr>
<td align="left">&#x201c;3,5-Dicaffeoylquinic acid&#x201d; OR &#x201c;isochlorogenic acid A&#x2033; OR &#x2033;2,450-53-5&#x2033; OR &#x2033;815-082-0&#x2033;</td>
<td align="left">
<italic>Respiratory disease-related</italic>: (&#x201c;bronchodilatation&#x201d; OR &#x201c;secretolytic&#x201d; OR &#x201c;anti-tussive&#x201d; OR &#x201c;antitussive")</td>
</tr>
<tr>
<td align="left">&#x201c;4,5-Dicaffeoylquinic acid&#x201d; OR &#x201c;isochlorogenic acid B&#x2033; OR &#x2033;14,534-61-3&#x2033;</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Literature research was performed applying the search queries in PubMed. Descriptor 1 defines the substance identity applying the IUPAC term, available synonyms, as well as the CAS and EC number. Descriptor 2 defines the pharmacological impact and was categorized into pharmacokinetic, anti-inflammatory, antioxidant, immunomodulatory, and effects related to respiratory disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Using the criteria outlined in <xref ref-type="table" rid="T1">Table 1</xref>, we obtained a total of 673 search results, without disregarding the possibility of duplicate hits across queries. The distribution of results by criterion is further illustrated in <xref ref-type="fig" rid="F2">Figure 2</xref>. According to <xref ref-type="fig" rid="F2">Figure 2</xref>, pharmacological data is predominantly accessible on pharmacokinetics, followed by inflammation and oxidative stress/antioxidant capacity. Additionally, there is a lack of information on 1,4- and 1,5-DCQA. Therefore, this review will focus on 1,3-, 3,4-, 3,5- and 4,5-DCQA, and their pharmacokinetic, anti-inflammatory and antioxidant properties. Due to the scope of this review, the impact of DCQAs on respiratory disease-related endpoints was also evaluated, despite the limited availability of data. To compare the pharmacodynamics of isomers and provide an effect-inducing range of DCQAs, we utilized point of departures (PoDs) from relevant studies. These PoDs were either IC/EC<sub>50</sub> values, if accessible, or the concentration or dose causing a statistically significant effect on an endpoint. All <italic>in vitro</italic> data are expressed as concentration (&#xb5;M), whereas <italic>in vivo</italic> data are reported as dose (mg/kg bw/d).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Heatmap of the results on the search queries used. The number of publications is shown as a function of the substance and the descriptor used. The applied descriptors are listed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
</caption>
<graphic xlink:href="fphar-15-1371613-g002.tif"/>
</fig>
</sec>
<sec id="s3">
<title>3 Pharmacokinetic</title>
<p>Data on the pharmacokinetic of DCQAs are published diversified including both, <italic>in vitro</italic> and <italic>in vivo</italic> studies. However, data on single DCQAs is scarce and mainly extracts containing DCQAs were investigated. Therefore, within this review it was focused on data relevant for the absorption, distribution, metabolism, and elimination of DCQAs mainly applied as constituent within an extract. Data of <italic>in vivo</italic> pharmacokinetic studies were only considered for oral administration of a test item and are summarized in <xref ref-type="table" rid="T2">Table 2</xref>. Overall, no relevant differences between the different DCQA isoforms were apparent regarding pharmacokinetic endpoints.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of available <italic>in vivo</italic> pharmacokinetic data from studies with oral administration of DCQA-containing extracts in rats.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Substance</th>
<th align="center">Extract</th>
<th align="center">Dose</th>
<th align="center">Dose DCQA<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> [mg/animal]</th>
<th align="center">c<sub>max</sub> [&#xb5;g/mL]</th>
<th align="center">t<sub>max</sub> [min]</th>
<th align="center">AUC<sub>0-&#x221e;</sub>[&#xb5;g<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> h/mL]</th>
<th align="center">t<sub>1/2</sub> [h]</th>
<th align="center">V<sub>z</sub> [L/kg]</th>
<th align="center">CL [L//kg]</th>
<th align="center">f<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> (%)</th>
<th align="center">Reference</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="11" align="center">3,4-DCQA</td>
<td align="center">Mix of <italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic> and <italic>Fructus Forsythiae (Forsythia Suspense)</italic>
</td>
<td align="center">25&#xa0;g/kg bw</td>
<td align="center">24.72</td>
<td align="center">0.06674</td>
<td align="center">10</td>
<td align="center">12.802</td>
<td align="center">9.1</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.8</td>
<td align="center">
<xref ref-type="bibr" rid="B122">Zhou et al. (2015b)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">94.5</td>
<td align="center">0.074</td>
<td align="center">53</td>
<td align="center">51.145</td>
<td align="center">10.9</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.8</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">75.75</td>
<td align="center">0.0735</td>
<td align="center">65</td>
<td align="center">88.148</td>
<td align="center">11.2</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.7</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">72.25</td>
<td align="center">0.0511</td>
<td align="center">55</td>
<td align="center">37.048</td>
<td align="center">12.7</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.8</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">75.5</td>
<td align="center">0.056</td>
<td align="center">35</td>
<td align="center">64.954</td>
<td align="center">6.9</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.3</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">58.5</td>
<td align="center">0.0555</td>
<td align="center">30</td>
<td align="center">37.807</td>
<td align="center">10.1</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.0</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">63.25</td>
<td align="center">0.0317</td>
<td align="center">27.5</td>
<td align="center">29.113</td>
<td align="center">12.5</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.7</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">Mix of <italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic> and <italic>Fructus Forsythiae (Forsythia Suspense)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">6.75</td>
<td align="center">0.03902</td>
<td align="center">10</td>
<td align="center">8.53482</td>
<td align="center">9.4</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.9</td>
<td align="center">
<xref ref-type="bibr" rid="B121">Zhou et al. (2014a)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Ainsliaea fragrans</italic> Champ</td>
<td align="center">0.16&#xa0;g/kg bw</td>
<td align="center">3.504</td>
<td align="center">0.062</td>
<td align="center">30</td>
<td align="center">0.166,333</td>
<td align="center">1.96</td>
<td align="center">347</td>
<td align="center">118</td>
<td align="center">0.1</td>
<td align="center">
<xref ref-type="bibr" rid="B88">Su et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">6.47</td>
<td align="center">0.00479</td>
<td align="center">15</td>
<td align="center">1.3766</td>
<td align="center">4.9</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.3</td>
<td align="center">
<xref ref-type="bibr" rid="B123">Zhou et al. (2014b)</xref>
</td>
</tr>
<tr>
<td align="center">Mix of <italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic> and <italic>Fructus Forsythiae (Forsythia Suspense)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">6.47</td>
<td align="center">0.0125</td>
<td align="center">12</td>
<td align="center">2.3276</td>
<td align="center">6.8</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.5</td>
<td align="center">
<xref ref-type="bibr" rid="B123">Zhou et al. (2014b)</xref>
</td>
</tr>
<tr>
<td rowspan="13" align="center">3,5-DCQA</td>
<td align="center">
<italic>---</italic>
</td>
<td align="center">18&#xa0;mg/kg bw</td>
<td align="center">3.6</td>
<td align="center">7.05</td>
<td align="center">22.01</td>
<td align="center">82.58</td>
<td align="center">0.5</td>
<td align="center">9.52</td>
<td align="center">13.2</td>
<td align="center">22.6<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">
<xref ref-type="bibr" rid="B12">Cen et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center">Mix of <italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic> and <italic>Fructus Forsythiae (Forsythia Suspense)</italic>
</td>
<td align="center">25&#xa0;g/kg bw</td>
<td align="center">13.025</td>
<td align="center">0.0705</td>
<td align="center">10</td>
<td align="center">3.25</td>
<td align="center">5.9</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.4</td>
<td align="center">
<xref ref-type="bibr" rid="B122">Zhou et al. (2015b)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">47.25</td>
<td align="center">0.081</td>
<td align="center">31.7</td>
<td align="center">51.271</td>
<td align="center">6.3</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.6</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">38.25</td>
<td align="center">0.0701</td>
<td align="center">60</td>
<td align="center">52.813</td>
<td align="center">8.4</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">2.1</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">34.75</td>
<td align="center">0.0572</td>
<td align="center">40</td>
<td align="center">31.219</td>
<td align="center">10.1</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.3</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">37.75</td>
<td align="center">0.0816</td>
<td align="center">25</td>
<td align="center">50.509</td>
<td align="center">7.1</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">2.0</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">32.75</td>
<td align="center">0.121</td>
<td align="center">30</td>
<td align="center">44.537</td>
<td align="center">9.2</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">2.0</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">33.5</td>
<td align="center">0.0684</td>
<td align="center">30</td>
<td align="center">36.091</td>
<td align="center">12.5</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.6</td>
<td align="center">
<xref ref-type="bibr" rid="B119">Zhou et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Erigeron breviscapus</italic>
</td>
<td align="center">5&#xa0;g/kg bw</td>
<td align="center">9.005</td>
<td align="center">1.033</td>
<td align="center">70.2</td>
<td align="center">7.59</td>
<td align="center">17.6</td>
<td align="center">110</td>
<td align="center">0.0047</td>
<td align="center">1.3</td>
<td align="center">
<xref ref-type="bibr" rid="B97">Tian et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Dipsacus</italic>. <italic>asper</italic> Wall. ex C.B. Clarke (raw)</td>
<td align="center">75.6&#xa0;g/kg bw</td>
<td align="center">0.369</td>
<td align="center">0.20706</td>
<td align="center">30</td>
<td align="center">0.33623</td>
<td align="center">2.94</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">1.4</td>
<td align="center">
<xref ref-type="bibr" rid="B92">Tao et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Dipsacus asper</italic> Wall. ex C.B. Clarke (processed)</td>
<td align="center">75.6&#xa0;g/kg bw</td>
<td align="center">0.254</td>
<td align="center">0.28065</td>
<td align="center">55</td>
<td align="center">0.97698</td>
<td align="center">1.81</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">5.8</td>
<td align="center">
<xref ref-type="bibr" rid="B92">Tao et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">Mix of <italic>Flos Lonicerae (Lonicera japonica</italic> Thunb.<italic>)</italic> and <italic>Fructus Forsythiae (Forsythia Suspense)</italic>
</td>
<td align="center">10&#xa0;mL/kg bw</td>
<td align="center">4.325</td>
<td align="center">0.05277</td>
<td align="center">11.67</td>
<td align="center">2.70876</td>
<td align="center">5.1</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.9</td>
<td align="center">
<xref ref-type="bibr" rid="B121">Zhou et al. (2014a)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Ainsliaea fragrans</italic> Champ</td>
<td align="center">0.16&#xa0;g/kg bw</td>
<td align="center">3.162</td>
<td align="center">0.0535</td>
<td align="center">30</td>
<td align="center">0.10049</td>
<td align="center">1.49</td>
<td align="center">429</td>
<td align="center">180</td>
<td align="center">0.05</td>
<td align="center">
<xref ref-type="bibr" rid="B88">Su et al. (2014)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">4,5-DCQA</td>
<td align="center">
<italic>Ainsliaea fragrans</italic> Champ</td>
<td align="center">0.16&#xa0;g/kg bw</td>
<td align="center">1.748</td>
<td align="center">0.0241</td>
<td align="center">16.8</td>
<td align="center">0.01907</td>
<td align="center">1.94</td>
<td align="center">336</td>
<td align="center">543</td>
<td align="center">0.02</td>
<td align="center">
<xref ref-type="bibr" rid="B88">Su et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Erigeron breviscapus</italic>
</td>
<td align="center">5&#xa0;g/kg bw</td>
<td align="center">2.98</td>
<td align="center">0.08752</td>
<td align="center">6.6</td>
<td align="center">3.065</td>
<td align="center">27.7</td>
<td align="center">4.3</td>
<td align="center">0.0002</td>
<td align="center">1.5</td>
<td align="center">
<xref ref-type="bibr" rid="B97">Tian et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Flos Chrysanthemi</italic>
</td>
<td align="center">10&#xa0;g/kg</td>
<td align="center">12.95</td>
<td align="center">0.10123</td>
<td align="center">24</td>
<td align="center">0.40453</td>
<td align="center">0.24</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">0.05</td>
<td align="center">
<xref ref-type="bibr" rid="B33">Jia et al. (2020)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>according to <xref ref-type="disp-formula" rid="e1">Equation 1</xref>.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>not calculated via estimation but given within study.</p>
</fn>
<fn>
<p>With exception of <xref ref-type="bibr" rid="B88">Su et al. (2014)</xref> which do not specify the used rat strains, all studies were performed in Sprague-Dawley rats. c<sub>max</sub>: maximum concentration, t<sub>max</sub>: time to reach maximum concentration, AUC<sub>0-&#x221e;</sub>: area under the concentration-time curve from zero to infinity, t<sub>1/2</sub>: elimination half-time, V<sub>Z</sub>: volume of distribution during terminal phase, CL: clearance, f: bioavailability, n/a: not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3-1">
<title>3.1 Absorption</title>
<sec id="s3-1-1">
<title>3.1.1 In vitro-based data on DCQA absorption</title>
<p>Compound stability during digestion is a critical factor for substance absorption. <xref ref-type="bibr" rid="B90">Takenaka et al. (2000)</xref> investigated the stability of 3,5-DCQA after artificial digestion of 2&#xa0;h at 37&#xa0;&#xb0;C in artificial gastric juice followed by incubation in artificial intestinal fluid at the same temperature for 2&#xa0;h. It was observed that 3,5-DCQA exhibited a stability of almost 100% subsequent to artificial digestion (<xref ref-type="bibr" rid="B90">Takenaka et al., 2000</xref>). Another study investigated the impact of artificial digestion on DCQAs within yarrow extracts, both native and enriched (<xref ref-type="bibr" rid="B101">Villalva et al., 2022</xref>). Under oral conditions, no degradation of the investigated DCQAs was observed. However, gastric conditions caused a loss of roughly 20% for 3,5- and 4,5-DCQA. Subsequent intestinal conditions resulted in 63%&#x2013;67% degradation of 3,5-DCQA. During this digestion step, the amount of 3,4- and 4,5-DCQA increased significantly (<xref ref-type="bibr" rid="B101">Villalva et al., 2022</xref>). The authors suggest that the observed phenomenon may be due to isomerization resulting from a pH shift between gastric and intestinal conditions. After undergoing artificial digestion, the total DCQA content of the extract was still 90% compared to the undigested extract (<xref ref-type="bibr" rid="B101">Villalva et al., 2022</xref>). D&#x27;Antuono and colleagues (2015) also reported the isomerization effect of 3,5-DCQA during digestion, which was further enhanced in the presence of 3,4- and 4,5-DCQA (<xref ref-type="bibr" rid="B15">D&#x2019;Antuono et al., 2015</xref>). Absorption of 3,4- and 3,5-DCQA was investigated <italic>in vitro</italic> using Caco-2 cell models demonstrating a time-dependent absorption as well as P<sub>app</sub> values of 1&#x2013;2.5 &#xd7; 10<sup>&#x2212;6</sup>&#xa0;cm&#xa0;s<sup>-1</sup>, indicating a moderate absorption (<xref ref-type="bibr" rid="B120">Zhou et al., 2015a</xref>; <xref ref-type="bibr" rid="B101">Villalva et al., 2022</xref>). Within two studies, DCQAs were not detected in the basolateral fraction of Caco-2 cells after 6&#xa0;h. However, due to the presence of caffeic and coumaric acid cellular metabolic activity within the applied assay was thought to be the cause for this observation (<xref ref-type="bibr" rid="B15">D&#x2019;Antuono et al., 2015</xref>; <xref ref-type="bibr" rid="B101">Villalva et al., 2022</xref>). Mechanistically, Zhou and colleagues (2015a) suggested passive diffusion as driving force behind DCQA absorption (<xref ref-type="bibr" rid="B120">Zhou et al., 2015a</xref>).</p>
</sec>
<sec id="s3-1-2">
<title>3.1.2 In vivo-based data in DCQA absorption</title>
<p>Several <italic>in vivo</italic> pharmacokinetic studies were conducted on rats that were administered mainly DCQA-containing extracts, with only one study using 3,5-DCQA as a single substance (<xref ref-type="table" rid="T2">Table 2</xref>). A bioavailability (f) of 22.6%, maximum concentration (c<sub>max</sub>) of 7.08&#xa0;&#x3bc;g/mL, time to reach maximum concentration (t<sub>max</sub>) of 22.01&#xa0;min, and area under the concentration-time curve from zero to infinity (AUC<sub>0-&#x221e;</sub>) of 82.58&#xa0;&#xb5;g&#x2a;h/mL were observed after oral administration of 18&#xa0;mg/kg bw 3,5-DCQA to rats (<xref ref-type="bibr" rid="B12">Cen et al., 2017</xref>). However, these observations were not reproduced when applying extracts containing 3,5-DCQA with observing higher absorption after applying the single substance (<xref ref-type="fig" rid="F3">Figure 3</xref>). A total of twelve pharmacokinetic studies were conducted, administering extracts containing 3,5-DCQA orally to rats. The results showed that c<sub>max</sub> was in a range of 0.05&#x2013;1.0&#xa0;&#x3bc;g/mL, t<sub>max</sub> ranged from 10 to&#x2013; 70.2&#xa0;min, and AUC<sub>0-&#x221e;</sub> was in a range of 0.1&#x2013;52.8&#xa0;&#xb5;g&#x2a;h/mL. However, it was not possible to properly calculate the bioavailability (f) according to <xref ref-type="bibr" rid="B12">Cen et al. (2017)</xref>, which is defined as (AUC<sub>po</sub> &#x2a; dose<sub>iv</sub>)/(AUC<sub>iv</sub> &#x2a; dose<sub>po</sub>), using the available data on DCQA-containing extracts. Therefore, it was assessed as an assumption (<xref ref-type="disp-formula" rid="e1">Equation 1</xref>). The applied DCQA dose was calculated based on the given dosage and the bodyweight of the rats mentioned in the respective studies. If the bodyweight was not provided, a rough estimation of 200&#xa0;g was used. V<sub>blood</sub> refers to the total blood volume in rats, which was estimated to be approximately 15&#xa0;mL in this assumption.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mi>U</mml:mi>
<mml:mi>C</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>0</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x221e;</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2a;</mml:mo>
<mml:msub>
<mml:mi>V</mml:mi>
<mml:mrow>
<mml:mi>b</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mtext>Dose</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="&#x7c;">
<mml:mrow>
<mml:mtext>DCQA</mml:mtext>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Review of available pharmacokinetic data on DCQA containing extracts applied via oral administration to rats. Data is displayed in a scatter plot where each dot represents a data point from a single study. The lines within the plot indicate the mean of the respective data. <bold>(A)</bold> maximum plasma concentration (c<sub>max</sub>), <bold>(B)</bold> time to reach maximum concentration (t<sub>max</sub>), <bold>(C)</bold> area under the concentration-time curve from zero to infinity (AUC<sub>0-&#x221e;</sub>), <bold>(D)</bold> bioavailability, <bold>(E)</bold> elimination half-time (t<sub>1/2</sub>). <xref ref-type="table" rid="T2">Table 2</xref> summarizes the references to the studies used for this illustration.</p>
</caption>
<graphic xlink:href="fphar-15-1371613-g003.tif"/>
</fig>
<p>Based on the calculation provided, the bioavailability of 3,5-DCQA was estimated to be f &#x3d; 1.7 &#xb1; 1.4% (range: 0.05%&#x2013;5.77%) after oral administration of the respective extracts. When comparing c<sub>max</sub>, t<sub>max</sub>, AUC<sub>0-&#x221e;</sub>, and f among the DCQA isoforms (<xref ref-type="fig" rid="F3">Figures 3A&#x2013;D</xref>), similar results were observed for 3,4-, 3,5-, and 4,5-DCQA in terms of c<sub>max</sub>, t<sub>max</sub>, and f. However, AUC<sub>0-&#x221e;</sub> of 4,5-DCQA was lower when compared to 3,4- and 3,5-DCQA. It is worth noting that there was a limited amount of data available for 4,5-DCQA (n &#x3d; 3), while data for 3,4-DCQA (n &#x3d; 10) and 3,5-DCQA (n &#x3d; 12) were more frequent. Having reviewed all the relevant data on absorption, the authors suggest that the uptake of DCQAs is not targeted towards any particular isoform and occurs swiftly and efficient enough to result in pharmacological benefits.</p>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Distribution</title>
<p>The distribution of 3,5-DCQA and its metabolites was assessed by <xref ref-type="bibr" rid="B22">Gong et al. (2020)</xref> after oral administration of 200&#xa0;mg/kg bw to male Sprague-Dawley rats (<xref ref-type="bibr" rid="B22">Gong et al., 2020</xref>). Two di-methylated DCQAs were found in the spleen, whereas only the 3,5-DCQA was found in the heart. Moreover, the parent compound and ten metabolites were detected within the kidney. 3,5-DCQA, along with two di-methylated metabolites and the glucuronic acid conjugate of 3,5-DCQA, were found in the lungs and liver. The metabolites that were observed to be most distributed across the examined tissue were the aforementioned 3,5-DCQA and two di-methylated metabolites, leading the authors to suggest that these compounds might exert pharmacological effects (<xref ref-type="bibr" rid="B22">Gong et al., 2020</xref>). In another study, female rats were given <italic>A. fragrans</italic> extract of the aerial parts orally, which contained 1,3-, 1,5-, 3,4-, 3,5-, and 4,5-DCQA (<xref ref-type="bibr" rid="B88">Su et al., 2014</xref>). Within 1&#xa0;h, DCQAs reached their peak value and were predominantly present in the reproductive organs, liver, lungs, and kidneys (<xref ref-type="bibr" rid="B88">Su et al., 2014</xref>). Both studies highlight that DCQAs are distributed to the target tissue of this review, namely, the lung.</p>
</sec>
<sec id="s3-3">
<title>3.3 Metabolism</title>
<p>Generally, the metabolic fate of DCQAs suggests two pathways (<xref ref-type="bibr" rid="B104">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Gong et al., 2020</xref>; <xref ref-type="bibr" rid="B115">Zhao et al., 2022</xref>). The first is degradation into quinic and caffeic acid since the ester bond appears to be easily hydrolyzed. Subsequently, phase I and II metabolism follows. The second pathway suggests a direct phase I and II metabolism of DCQAs themselves. The occurrence of both pathways has been observed within metabolic profiling of 3,5-DCQA in rat plasma, feces, and urine after single oral or intravenous administration of 50&#xa0;mg/kg bw to male Sprague-Dawley rats (<xref ref-type="bibr" rid="B104">Wang et al., 2017</xref>). This mechanism has been reproduced by analyzing rat plasma after oral administration of 200&#xa0;mg/kg bw 3,5-DCQA to male Sprague-Dawley rats (<xref ref-type="bibr" rid="B22">Gong et al., 2020</xref>). The most apparent metabolic pathways included hydrolysis, methylation, hydrogenation, dehydroxylation, glucuronidation, as well as glycine, cysteine, and sulfate conjugation (<xref ref-type="bibr" rid="B104">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Gong et al., 2020</xref>). A metabolic profiling study in male Sprague-Dawley rats administered 200&#xa0;mg/kg bw of 3,4-DCQA demonstrated the existence of the same pathways, except for the cysteine conjugation, resulting in a total of 67 identified metabolites (<xref ref-type="bibr" rid="B115">Zhao et al., 2022</xref>). Wang and colleagues (2017) furthermore reported that the ester bond could hydrolyze easily, the &#x3b1;,&#x3b2;-unsaturated carbonyl group is susceptible to reduction, and hydroxyls within the catechol group are likely to undergo methylation. Additionally, the study showed that phase II conjugates can be formed by intermediate via conjugation of glutathione, cysteine, glycine, sulfate or glucuronic acid (<xref ref-type="bibr" rid="B104">Wang et al., 2017</xref>).</p>
</sec>
<sec id="s3-4">
<title>3.4 Elimination</title>
<p>Since metabolites were found in urine and faeces, elimination via both ways is possible (<xref ref-type="bibr" rid="B104">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Gong et al., 2020</xref>; <xref ref-type="bibr" rid="B115">Zhao et al., 2022</xref>). Within <italic>in vivo</italic> pharmacokinetic studies applying DCQA containing extracts to rats, the elimination half-time (t<sub>1/2</sub>) was assessed (<xref ref-type="fig" rid="F3">Figure 3E</xref>). Taken all available data together, similar t<sub>1/2</sub> were obtained for the three isoforms 3,4-, 3,5-, and 4,5-DCQA ranging from 7.4 to 10&#xa0;h, indicating moderate elimination time. Clearance was explored in several pharmacokinetic studies, but no patterns could be discerned within this review because the respective values differed significantly from one another (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>4 Pharmacodynamic</title>
<p>As mentioned beforehand, DCQAs obtain several published pharmacodynamic relevant properties linked with antioxidative, cardiovascular protective, antibacterial, antiviral, hypoglycemic, hepatoprotective, anti-inflammatory, and neuroprotective effects (<xref ref-type="bibr" rid="B103">Wang et al., 2020</xref>). So far, the pharmacodynamic effects of DCQAs have not been evaluated in the context of inflammation-related respiratory diseases such as acute or even chronic bronchitis. Therefore, this chapter aims to highlight the antioxidative, anti-inflammatory, and immunomodulating properties of DCQA. Furthermore, the impact of DCQAs on endpoints directly related to symptoms of respiratory diseases, such as reduction of cough events or enhancement of mucociliary clearance, is evaluated.</p>
<sec id="s4-1">
<title>4.1 Antioxidative properties</title>
<p>Due to the polyphenolic structure of DCQAs, an antioxidative potential is very likely and has been investigated in various studies, including cell-free, cell-based, and <italic>in vivo</italic> studies (<xref ref-type="table" rid="T3">Table 3</xref> at the end of the chapter). Specifically, scavenging of free radicals such as reactive oxygen species (ROS) and enhancement of cellular oxidative stress response are involved and play a crucial role in the therapeutic potential of DCQAs.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of studies investigating antioxidative properties of dicaffeoylquinic acids (DCQA) <italic>in vitro</italic> or <italic>in vivo</italic> listing relevant endpoints and point of departures (PoD), which indicate a significant effect on the respective endpoint.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Reference</th>
<th align="center">Model</th>
<th align="center">Trigger</th>
<th align="center">Applied<break/>Dose/Concentration</th>
<th align="center">DCQA isoform</th>
<th align="center">Endpoint</th>
<th align="center">PoD</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">
<xref ref-type="bibr" rid="B7">Bouratoua et al. (2018)</xref>
</td>
<td align="center">Acellular</td>
<td align="center">---</td>
<td align="center">n/a</td>
<td align="center">3,5-DCQA</td>
<td align="center">DPPH</td>
<td align="center">12.87&#xa0;&#x3bc;g/mL &#x3d; 24.9&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B9">Cao et al. (2010)</xref>
</td>
<td align="center">Primary rat astrocytes</td>
<td align="center">Oxygen and glucose deprivation/reperfusion</td>
<td align="center">50&#xa0;&#xb5;M</td>
<td align="center">1,5-DCQA</td>
<td align="center">Nrf2 translocation</td>
<td align="center">50&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B10">Cao et al. (2017)</xref>
</td>
<td align="center">Vero cells</td>
<td align="center">EV71 inoculation</td>
<td align="center">100&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td align="center">GR/GPX/G6PD expression</td>
<td align="center">100&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B21">Gebhardt and Fausel (1997)</xref>
</td>
<td align="center">Primary hepatocytes</td>
<td align="center">TBHP</td>
<td align="center">n/a</td>
<td align="center">1,3-DCQA</td>
<td align="center">MDA</td>
<td align="center">23.6&#xa0;&#xb5;M (EC<sub>50</sub>)</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B30">Iwai et al. (2004)</xref>
</td>
<td rowspan="3" align="center">Acellular</td>
<td rowspan="3" align="center">---</td>
<td rowspan="3" align="center">n/a</td>
<td align="center">4,5-DCQA</td>
<td rowspan="3" align="center">DPPH</td>
<td align="center">5.6&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">3,5-DCQA</td>
<td align="center">6&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">3,4-DCQA</td>
<td align="center">5.8&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B35">Kang et al. (2011)</xref>
</td>
<td rowspan="2" align="center">Hep-G2 cells</td>
<td rowspan="2" align="center">TBHP</td>
<td rowspan="2" align="center">10&#x2013;40&#xa0;&#xb5;M</td>
<td rowspan="2" align="center">3,5-DCQA</td>
<td align="center">DCF</td>
<td align="center">20&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">GSH</td>
<td align="center">5&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B41">Kim et al. (2005)</xref>
</td>
<td align="center">SH-SY5Y cells</td>
<td align="center">H<sub>2</sub>O<sub>2</sub>
</td>
<td align="center">5&#x2013;50&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td align="center">GSH</td>
<td align="center">25&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B39">Kim et al. (2012)</xref>
</td>
<td rowspan="2" align="center">Rat cortical neurons</td>
<td rowspan="2" align="center">Glutamate</td>
<td rowspan="2" align="center">0.1&#x2013;5&#xa0;&#xb5;M</td>
<td align="center">3,4-DCQA</td>
<td rowspan="2" align="center">DCF</td>
<td rowspan="2" align="center">0.1&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">3,5-DCQA</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B37">Kim et al. (2022a)</xref>
</td>
<td align="center">Acellular</td>
<td align="center">---</td>
<td align="center">n/a</td>
<td align="center">3,5-DCQA</td>
<td rowspan="2" align="center">DPPH</td>
<td align="center">10.9&#xa0;&#xb5;M (EC<sub>50</sub>)</td>
</tr>
<tr>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">4,5-DCQA</td>
<td align="center">13.8&#xa0;&#xb5;M (EC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B43">K&#xf6;ncz&#xf6;l et al. (2012)</xref>
</td>
<td align="center">Acellular</td>
<td align="center">---</td>
<td align="center">0.5&#x2013;300&#xa0;&#x3bc;g/mL</td>
<td align="center">3,5-DCQA</td>
<td align="center">DPPH</td>
<td align="center">8.74&#xa0;&#x3bc;g/mL &#x3d; 17&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B53">Liang and Kitts (2018)</xref>
</td>
<td rowspan="3" align="center">Caco-2 cells</td>
<td rowspan="3" align="center">PMA &#x2b; INFy</td>
<td rowspan="3" align="center">0.2&#x2013;2&#xa0;mM</td>
<td align="center">3,4-DCQA</td>
<td rowspan="3" align="center">DCF, GSH, Nrf2 translocation</td>
<td align="left"/>
</tr>
<tr>
<td align="center">3,5-DCQA</td>
<td align="center">200&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">4,5-DCQA</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B58">Ma et al. (2015)</xref>
</td>
<td rowspan="3" align="center">Acellular</td>
<td rowspan="3" align="center">---</td>
<td rowspan="3" align="center">n/a</td>
<td align="center">3,5-DCQA</td>
<td rowspan="3" align="center">DPPH</td>
<td align="center">3.63&#xa0;&#x3bc;g/mL &#x3d; 7&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">4,5-DCQA</td>
<td align="center">4.01&#xa0;&#x3bc;g/mL &#x3d; 7.7&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">3,4-DCQA</td>
<td align="center">4.78&#xa0;&#x3bc;g/mL &#x3d; 9.3&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B66">Pagano et al. (2016)</xref>
</td>
<td align="center">Hep-G2 cells</td>
<td align="center">Free radical initiator</td>
<td align="center">1&#x2013;12&#xa0;&#xb5;M</td>
<td align="center">1,3-DCQA</td>
<td align="center">DCF</td>
<td align="center">2.2&#xa0;&#xb5;M (EC<sub>50</sub>)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B70">Park et al. (2009)</xref>
</td>
<td rowspan="2" align="center">Acellular</td>
<td rowspan="2" align="center">---</td>
<td rowspan="2" align="center">n/a</td>
<td align="center">4,5-DCQA</td>
<td rowspan="2" align="center">DPPH</td>
<td align="center">10.09&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">3,5-DCQA</td>
<td align="center">9.95&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B72">P&#xe9;rez-Garc&#xed;a et al. (2000)</xref>
</td>
<td align="center">Human neutrophils</td>
<td align="center">H<sub>2</sub>O<sub>2</sub>
</td>
<td align="center">mM range</td>
<td align="center">1,3-DCQA</td>
<td align="center">DCF</td>
<td align="center">5.2&#xa0;&#x3bc;g/mL &#x3d; 10&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B74">Psotov&#xe1; et al. (2003)</xref>
</td>
<td align="center">Acellular</td>
<td align="center">---</td>
<td align="center">0.01&#x2013;0.1&#xa0;mM</td>
<td rowspan="2" align="center">1,3-DCQA</td>
<td align="center">DPPH</td>
<td align="center">5&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">Rat liver homogenate</td>
<td align="center">TBHP</td>
<td align="center">0.1&#x2013;25&#xa0;mM</td>
<td align="center">MDA</td>
<td align="center">1.96&#xa0;mM (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B78">Raineri et al. (2021)</xref>
</td>
<td align="center">3T3-L1 cells</td>
<td align="center">Hormonal cocktail (MDI)</td>
<td align="center">10&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td align="center">HO-1/Nrf2 expression</td>
<td align="center">10&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B29">Indy Tamayose et al. (2019)</xref>
</td>
<td align="center">Acellular</td>
<td align="center">---</td>
<td align="center">n/a</td>
<td align="center">4,5-DCQA</td>
<td align="center">DPPH</td>
<td align="center">14.3&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B98">Tong et al. (2017)</xref>
</td>
<td align="center">Hep-G2 cells</td>
<td align="center">Acrolein</td>
<td align="center">1&#x2013;5&#xa0;&#xb5;M</td>
<td align="center">1,3-DCQA</td>
<td align="center">DCF</td>
<td align="center">1&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B99">Topal et al. (2015)</xref>
</td>
<td align="center">Acellular</td>
<td align="center">---</td>
<td align="center">10&#x2013;30&#xa0;&#x3bc;g/mL</td>
<td align="center">1,3-DCQA</td>
<td align="center">DPPH</td>
<td align="center">3.98&#xa0;&#x3bc;g/mL &#x3d; 7.7&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B105">Wang and Xiao (2019)</xref>
</td>
<td rowspan="2" align="center">Mice</td>
<td rowspan="2" align="center">Acute lung injury via LPS</td>
<td rowspan="2" align="center">5, 10, 20&#xa0;mg via i.p.</td>
<td rowspan="2" align="center">3,5-DCQA</td>
<td align="center">MDA</td>
<td align="center">5&#xa0;mg</td>
</tr>
<tr>
<td align="center">SOD expression</td>
<td align="center">10&#xa0;mg</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B110">Xu et al. (2012)</xref>
</td>
<td rowspan="3" align="center">Acellular</td>
<td rowspan="3" align="center">---</td>
<td rowspan="3" align="center">n/a</td>
<td align="center">3,4-DCQA</td>
<td rowspan="3" align="center">DPPH</td>
<td align="center">18.2&#xa0;&#xb5;M (EC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">3,5-DCQA</td>
<td align="center">18&#xa0;&#xb5;M (EC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">4,5-DCQA</td>
<td align="center">14.5&#xa0;&#xb5;M (EC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B114">Zha et al. (2007)</xref>
</td>
<td align="center">Rat liver homogenate</td>
<td align="center">Ascorbate-Fe<sup>2&#x2b;</sup>
</td>
<td align="center">5&#x2013;50&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td align="center">MDA</td>
<td align="center">5&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B116">Zheleva-Dimitrova et al. (2016)</xref>
</td>
<td align="center">Acellular</td>
<td align="center">---</td>
<td align="center">n/a</td>
<td align="center">3,5-DCQA</td>
<td align="center">DPPH</td>
<td align="center">2.62&#xa0;&#x3bc;g/mL &#x3d; 5.1&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PoDs representing IC<sub>50</sub> or EC<sub>50</sub> values are indicated, respectively. CAT, catalase, DCF, dichlorofluorescin, DPPH, 2,2-diphenyl-1-picrylhydrazyl, G6PD, glucose-6-phosphate dehydrogenase, GPX, glutathione peroxidase, GR, glutathione reductase, GSH, glutathione, HO-1, heme oxygenase, LPS, lipopolysaccharide, MDA, malondialdehyde, n/a: not available, TBHP, tert.-butylhydroperoxide.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4-1-1">
<title>4.1.1 Scavenging of radicals</title>
<p>Various assays can evaluate the antioxidant potential on a cell-free basis, including 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2&#x2032;-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and ferric ion reducing antioxidant power (FRAP) assays. All assays measure the potential of test items to capture free radicals. The DPPH assay was used most frequently to examine the scavenging of radicals by DCQAs. Using single substances, IC<sub>50</sub> values for 1,3-DCQA in the range of 5&#x2013;50&#xa0;&#x3bc;M, for 3,4-DCQA in the range of 6&#x2013;20&#xa0;&#x3bc;M, for 3,5-DCQA in the range of 5.1&#x2013;21&#xa0;&#x3bc;M, and for 4,5-DCQA in the range of 5.6&#x2013;15&#xa0;&#xb5;M were obtained (<xref ref-type="bibr" rid="B74">Psotov&#xe1; et al., 2003</xref>; <xref ref-type="bibr" rid="B30">Iwai et al., 2004</xref>; <xref ref-type="bibr" rid="B70">Park et al., 2009</xref>; <xref ref-type="bibr" rid="B43">K&#xf6;ncz&#xf6;l et al., 2012</xref>; <xref ref-type="bibr" rid="B110">Xu et al., 2012</xref>; <xref ref-type="bibr" rid="B58">Ma et al., 2015</xref>; <xref ref-type="bibr" rid="B99">Topal et al., 2015</xref>; <xref ref-type="bibr" rid="B116">Zheleva-Dimitrova et al., 2016</xref>; <xref ref-type="bibr" rid="B7">Bouratoua et al., 2018</xref>; <xref ref-type="bibr" rid="B29">Indy Tamayose et al., 2019</xref>; <xref ref-type="bibr" rid="B37">Kim C.-K. et al., 2022</xref>). When comparing the mean IC<sub>50</sub> values of the evaluated data, there was no clear difference found between the isoforms 3,4-, 3,5-, and 4,5-DCQA, with respective mean IC<sub>50</sub> values of 12, 13, and 11&#xa0;&#xb5;M (<xref ref-type="fig" rid="F4">Figure 4A</xref>). However, 1,3-DCQA displayed a mean IC<sub>50</sub> value of 6.35&#xa0;&#xb5;M, indicating a slightly higher antioxidative potential in this assay but only a sample size of n &#x3d; 2. Besides studies testing single substances, various data is available showing a radical scavenging potential of extracts containing DCQAs (e.g., <xref ref-type="bibr" rid="B71">Pa&#x15f;ayeva et al., 2022</xref>; <xref ref-type="bibr" rid="B1">Acquaviva et al., 2023</xref>; <xref ref-type="bibr" rid="B117">Zheleva-Dimitrova et al., 2023</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<italic>In vitro</italic> data on antioxidant properties of DCQAs across different studies. Data is displayed as a scatter plot where each dot represents a point of departure (PoD) obtained from different studies. <bold>(A)</bold> PoDs of applied acellular DPPH assays, the lines within the plot indicate the mean of the respective data. <bold>(B)</bold> PoDs on antioxidative endpoints investigated in cellular models. &#x25a0; DCF assay, &#x25b2;MDA assay, <bold>&#x2666;</bold> cellular GSH ratio, &#x25cf; Nrf2 activation.</p>
</caption>
<graphic xlink:href="fphar-15-1371613-g004.tif"/>
</fig>
</sec>
<sec id="s4-1-2">
<title>4.1.2 Cellular oxidative stress response</title>
<sec id="s4-1-2-1">
<title>4.1.2.1 Intracellular ROS scavenging</title>
<p>The dichlorofluorescin (DCF) assay is a cell-based method used to investigate the scavenging of radicals in addition to cell-free assays. Within this assay, a fluorescent dye binds to free radicals inside cells if respective radicals are not detoxified beforehand by antioxidative substances or proteins. To determine scavenging of radicals, DCQAs as single substance were applied to different cell types of both, human and rodent origin together with a radical forming oxidant. These studies revealed PoDs in the range of 1&#x2013;3&#xa0;&#xb5;M for 1,3-DCQA (<xref ref-type="bibr" rid="B72">P&#xe9;rez-Garc&#xed;a et al., 2000</xref>; <xref ref-type="bibr" rid="B66">Pagano et al., 2016</xref>; <xref ref-type="bibr" rid="B98">Tong et al., 2017</xref>). The range of PoDs for 3,4- and 3,5-DCQA were quite large, spanning 0.01&#x2013;200&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B35">Kang et al., 2011</xref>; <xref ref-type="bibr" rid="B39">Kim et al., 2012</xref>; <xref ref-type="bibr" rid="B53">Liang and Kitts, 2018</xref>), and only one study was available that applied 4,5-DCQA with a PoD of 200&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B53">Liang and Kitts, 2018</xref>). Due to the wide range of PoD values, a comparison across DCQA isoforms cannot be made (<xref ref-type="fig" rid="F4">Figure 4B</xref>). It is noteworthy that the PoD of 200&#xa0;&#xb5;M detected by <xref ref-type="bibr" rid="B53">Liang and Kitts (2018)</xref> represents the lowest applied concentration. Therefore, it is possible that lower concentrations also induce an antioxidant effect detected by the DCF assay.</p>
</sec>
<sec id="s4-1-2-2">
<title>4.1.2.2 Inhibition of lipid peroxidation</title>
<p>The inhibition of lipid peroxidation by oxidants determined by measurement of malondialdehyde (MDA) is an adverse process leading to cellular damage with subsequent pathologies. The detection of MDA was used to investigate the antioxidative potency of DCQAs mainly after applying a noxious substance such as tert-butylhydroperoxide (TBHP) or lipopolysaccharide (LPS). The inhibition of TBHP- or LPS- induced lipid peroxidation by DCQAs as single substance has been investigated (<xref ref-type="fig" rid="F4">Figure 4B</xref>) in human hepatocytes and mitochondria as well as microsomes from rat liver homogenate (<xref ref-type="bibr" rid="B21">Gebhardt and Fausel, 1997</xref>; <xref ref-type="bibr" rid="B74">Psotov&#xe1; et al., 2003</xref>; <xref ref-type="bibr" rid="B114">Zha et al., 2007</xref>). <xref ref-type="bibr" rid="B21">Gebhardt and Fausel (1997)</xref> applied TBHP to primary hepatocytes to induce oxidative stress. Subsequently, selected compounds, including 1,3-DCQA, were applied to the cell culture to investigate the antioxidant activity of the test items. The study found that 1,3-DCQA had an EC<sub>50</sub> value of 23.6&#xa0;&#xb5;M, which was the lowest compared to caffeic acid, chlorogenic acid, and cynaroside with EC<sub>50</sub> values of 45, 35.3, and 62.4&#xa0;&#xb5;M, respectively (<xref ref-type="bibr" rid="B21">Gebhardt and Fausel, 1997</xref>). <xref ref-type="bibr" rid="B74">Psotov&#xe1; et al. (2003)</xref> assessed the antioxidant activity by investigating TBHP-induced lipid peroxidation in the mitochondrial fraction of rat liver homogenate dependent on the co-incubation with phenolic substances. The results indicated that 1,3-DCQA exhibited an IC<sub>50</sub> value of 1.96&#xa0;mM, whereas protocatechuic, caffeic, rosmarinic, ferulic and chlorogenic acid revealed IC<sub>50</sub> values of &#x3e; 2, 0.59, 0.09, &#x3e; 2, and 2.37&#xa0;mM, respectively (<xref ref-type="bibr" rid="B74">Psotov&#xe1; et al., 2003</xref>). Lipid peroxidation in microsomes derived from rat liver homogenate following ascorbate-Fe<sup>2&#x2b;</sup>-induced oxidative stress was investigated for its prevention by 3,5-DCQA. Results indicated a significant and dose-dependent decrease in MDA levels already at 5&#xa0;&#xb5;M 3,5-DCQA (<xref ref-type="bibr" rid="B114">Zha et al., 2007</xref>). Regarding this endpoint, 3,5-DCQA seemed to be more active than 1,3-DCQA. Besides <italic>in vitro</italic>, <xref ref-type="bibr" rid="B105">Wang and Xiao (2019)</xref> induced acute lung injury to mice using LPS and treated this model with 5, 10, and 20&#xa0;mg of 3,5-DCQA via intraperitoneal injection. Within this study, MDA level in lung tissue of the acute lung injury model strongly increased and dose-dependently decreased after application of 3,5-DCQA. The decrease was significant after applying 5&#xa0;mg and returned to basal MDA levels at 20&#xa0;mg 3,5-DCQA (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>). In addition to testing single substances, DCQAs containing extracts were tested <italic>in vivo</italic> for their effect on lipid peroxidation by determining MDA concentration (<xref ref-type="bibr" rid="B112">Yin et al., 2018</xref>; <xref ref-type="bibr" rid="B48">Li et al., 2019</xref>). This strengthened the observation, that DCQA-rich extracts induce the antioxidant activity <italic>in vivo</italic>.</p>
</sec>
<sec id="s4-1-2-3">
<title>4.1.2.3 Induction of antioxidative protein</title>
<p>Glutathione (GSH) is a peptide with well-established antioxidant properties in cells. It is present in two forms: the reduced form, GSH, and the oxidized form, glutathione disulfide (GSSG). The ratio of GSH to GSSG is a crucial parameter in assessing cellular oxidative stress levels (<xref ref-type="bibr" rid="B19">Franco and Cidlowski, 2012</xref>). The impact of DCQAs as single substance on the cellular GSH level has been assessed in various studies (<xref ref-type="fig" rid="F4">Figure 4B</xref>) <italic>in vitro</italic> (<xref ref-type="bibr" rid="B41">Kim et al., 2005</xref>; <xref ref-type="bibr" rid="B35">Kang et al., 2011</xref>; <xref ref-type="bibr" rid="B53">Liang and Kitts, 2018</xref>). Within these studies, the cellular GSH content of cells derived from liver (HepG2), colon (Caco-2), and bone tissue (SH-SY5Y) was determined after an oxidative stimulus and subsequent DCQA incubation. The PoDs obtained were determined to be 5&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B35">Kang et al., 2011</xref>), 25&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B41">Kim et al., 2005</xref>), and 200&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B53">Liang and Kitts, 2018</xref>) for 3,5-DCQA as well as 200&#xa0;&#xb5;M for 3,4- and 4,5-DCQA (<xref ref-type="bibr" rid="B53">Liang and Kitts, 2018</xref>). It must be noted, however, that the PoD of 200&#xa0;&#xb5;M across these studies is due to the circumstance of 200&#xa0;&#xb5;M being the lowest applied concentration in the respective study by <xref ref-type="bibr" rid="B53">Liang and Kitts (2018)</xref>. Hence, the range of PoDs from 5&#x2013;200&#xa0;&#xb5;M for 3,5-DCQA can be explained by the choice of concentrations in one specific study. Due to the wide range of applied concentrations and limited data on 1,3-, 3,4-, and 4,5-DCQA no comparison on the activity of DCQA isoforms can be made. In addition to <italic>in vitro</italic> experiments, 4,5-DCQA was administered orally at doses of 5, 10, and 20&#xa0;mg/kg bw to mice of a NASH model over the period of 4&#xa0;weeks. The GSH level in the liver decreased significantly in the NASH model compared to a normal mice group, whereas the additional treatment with 4,5-DCQA resulted in a dose-dependent increase of liver GSH starting at 5&#xa0;mg/kg bw. At 20&#xa0;mg/kg bw the basal GSH level was nearly reconstituted (<xref ref-type="bibr" rid="B56">Liu et al., 2019b</xref>). Even though this model does not represent a lung-specific disease model, the authors suggest a similar effect during inflammation of the respiratory tract after systemic application of DCQAs. Furthermore, the effect of DCQA-containing extract on cellular GSH levels was determined in oxidative-stimulated keratinocytes (HaCaT) and hepatocytes derived from both human and rats origins (<xref ref-type="bibr" rid="B21">Gebhardt and Fausel, 1997</xref>; <xref ref-type="bibr" rid="B112">Yin et al., 2018</xref>; <xref ref-type="bibr" rid="B48">Li et al., 2019</xref>; <xref ref-type="bibr" rid="B20">Gao et al., 2021</xref>; <xref ref-type="bibr" rid="B117">Zheleva-Dimitrova et al., 2023</xref>). Overall, the <italic>in vitro</italic> and <italic>in vivo</italic> data indicates that DCQAs reconstitutes the cellular GSH level after applying an oxidative trigger.</p>
<p>Another mechanism of antioxidative defense is the expression of antioxidative proteins such as superperoxide dismutase (SOD), catalase (CAT), or heme oxygenase (HO-1). The protein levels of different antioxidant acting proteins have been evaluated <italic>in vitro</italic> and <italic>in vivo</italic> applying single substances as well as DCQA-containing extracts. Cao and colleagues (2017) applied 100&#xa0;&#xb5;M 3,5-DCQA to kidney epithelial cells (Vero cells) after infecting the cell culture with EV71 virus. Viral inoculation resulted in a decreased expression of GSH metabolic enzymes, i.e., glutathione reductase (GR), glutathione peroxidase (GPX), and glucose-6-phosphate dehydrogenase (G6PD) (<xref ref-type="bibr" rid="B77">Rahman et al., 1999</xref>). Treating the cells with 100&#xa0;&#xb5;M 3,5-DCQA returned basal protein levels of GSH homeostasis-related proteins (<xref ref-type="bibr" rid="B10">Cao et al., 2017</xref>). In addition, the impact of 3,5-DCQA on the expression of HO-1 on 3T3-L1 cells after treatment with a hormonal cocktail (MDI) was investigated. Expression of HO-1 on a protein level was elevated after incubation with 10&#xa0;&#xb5;M 3,5-DCQA compared to a MDI-treated control (<xref ref-type="bibr" rid="B78">Raineri et al., 2021</xref>). Regarding <italic>in vivo</italic> studies, within a mouse model of acute lung injury induced by LPS applying 3,5-DCQA by intraperitoneal injection at doses of 5, 10 or 20&#xa0;mg SOD levels in the lung were clearly decreased within the acute lung injury model and was elevated statistically significant after treatment of 10 and 20&#xa0;mg 3,5-DCQA (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>). The effect on antioxidative proteins (SOD, GPX, CAT) was also investigated using DCQA-containing extracts <italic>in vivo</italic> (<xref ref-type="bibr" rid="B44">Kwon et al., 2019</xref>; <xref ref-type="bibr" rid="B48">Li et al., 2019</xref>). Taken together, these data suggest that DCQAs induce antioxidant activity not only through their ability to scavenge free radicals, but also by inducing the expression of proteins critical for cellular antioxidant defense mechanisms. As summarized by Zuo and Wijegunawardana, ROS play an important role in the pathogenesis of respiratory diseases such as COPD, asthma, and inflammation-associated disease as their further enhance ROS production (<xref ref-type="bibr" rid="B124">Zuo and Wijegunawardana, 2021</xref>). Therefore, not only scavenging of ROS by DCQA but also the activation antioxidative stress response can have a beneficial impact in the treatment of respiratory diseases.</p>
</sec>
</sec>
<sec id="s4-1-3">
<title>4.1.3 Antioxidative pathway signaling</title>
<p>The Nrf2/Keap1 pathway is a key player within cellular oxidative defense being activated subsequent to toxic and oxidative stress. It acts via the expression of genes associated to oxidative stress response and drug detoxification as well as other cellular processes, including inflammation (<xref ref-type="bibr" rid="B26">He et al., 2020</xref>). Therefore, activation of this signaling pathway after cellular stress is crucial for maintaining cellular redox balance and to enhance cell survival under exogenous stress (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Nrf2/Keap1 pathway activation under normal conditions and after treatment with dicaffeoylquinic acids. Keap1 regulates the activity of the transcription factor Nrf2. Under conditions of oxidative stress, Nrf2 is released from Keap1 and translocates to the nucleus, where it activates the expression of genes encoding antioxidant enzymes. Data indicates an enhanced nuclear translocation of Nrf2 after treatment with DCQAs. ARE: antioxidant response element; DCQA: dicaffeoylquinic acid; CAT: catalase; G6PD: glucose-6-phosphate dehydrogenase; GPX: glutathione peroxidase; HO-1: heme oxygenase-1 (Figure created using BioRender, Toronto, ON, Canada).</p>
</caption>
<graphic xlink:href="fphar-15-1371613-g005.tif"/>
</fig>
<p>The ability of DCQAs to activate the Nrf2 pathway was mainly assessed investigating nuclear translocation of Nrf2 (<xref ref-type="fig" rid="F4">Figure 4B</xref>). <xref ref-type="bibr" rid="B9">Cao et al. (2010)</xref> used primary rat astrocytes to evaluate Nrf2 activation by 1,5-DCQA. At a concentration of 50&#xa0;&#xb5;M a statistically significant increase in Nrf2 translocation to the nucleus was observed (<xref ref-type="bibr" rid="B9">Cao et al., 2010</xref>). A similar observation was made after treating Caco-2 cells with 200&#xa0;&#xb5;M each of 3,4-, 3,5-, and 4,5-DCQA, which represents the lowest applied concentration in the respective study (<xref ref-type="bibr" rid="B53">Liang and Kitts, 2018</xref>). Furthermore, <xref ref-type="bibr" rid="B78">Raineri et al. (2021)</xref> observed an enhanced Nrf2 protein expression after 24&#xa0;h treatment with 10&#xa0;&#xb5;M 3,5-DCQA in 3T3-L1 cells (<xref ref-type="bibr" rid="B78">Raineri et al., 2021</xref>). As stated previously for GSH assessment, a comparison between on the Nrf2 translocation of DCQA isoforms cannot be made due the scarce data on 1,3-, 3,4-, and 4,5-DCQA. In addition to <italic>in vitro</italic> studies, nuclear translocation of Nrf2 in a NASH mice model after treatment with 5&#xa0;mg/kg bw 4,5-DCQA was observed, whereas the untreated NASH mice as well as normal control mice treated with 4,5-DCQA did not show nuclear translocation, respectively (<xref ref-type="bibr" rid="B56">Liu et al., 2019b</xref>). This observation has not yet been investigated within a disease model associated with the respiratory tract, however, the authors suggest this effect can be observed in other target tissues since it is an unspecific reaction. All this data indicates the potential of DCQAs to activate the essential antioxidative Nrf2/Keap1 pathway <italic>in vitro</italic> and <italic>in vivo</italic>. This is further strengthened by the above described upregulation of antioxidative proteins, which in addition represent Nrf2 target genes, i.e., <italic>CAT, G6PD, GR, GPX, H O -1</italic>, and <italic>SOD</italic> (<xref ref-type="bibr" rid="B4">Baird and Yamamoto, 2020</xref>; <xref ref-type="bibr" rid="B26">He et al., 2020</xref>). It was shown that Nrf2 deactivation results in high susceptibility and increased disease severity in different respiratory disease models, e.g., COPD, asthma, respiratory infections, and idiopathic pulmonary fibrosis. Accordingly, the activation of this pathway results in a protection against various respiratory diseases (<xref ref-type="bibr" rid="B55">Liu et al., 2019a</xref>; <xref ref-type="bibr" rid="B63">Mizumura et al., 2020</xref>). This clearly shows that DCQA-induced activation of Nrf2 can contribute beneficially in the treatment of respiratory diseases.</p>
</sec>
</sec>
<sec id="s4-2">
<title>4.2 Anti-inflammatory properties</title>
<p>Several mechanisms can contribute to an anti-inflammatory effect induced by drugs including regulation of the expression of inflammation mediators and cytokines, inhibition of certain proteins or pathways as well as modulation of the immune system, e.g., by blocking specific receptors. The next chapters will emphasize the anti-inflammatory properties of DCQAs which are also summarized in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Summary of studies investigating anti-inflammatory properties of dicaffeoylquinic acids (DCQA) <italic>in vitro</italic> or <italic>in vivo</italic> listing relevant endpoints and point of departures (PoD), which indicate a significant effect on the respective endpoint.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Reference</th>
<th align="center">Model</th>
<th align="center">Trigger</th>
<th align="center">Applied<break/>Dose/Concentration</th>
<th align="center">DCQA isoform</th>
<th align="center">Endpoint</th>
<th align="center">PoD</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B13">Chen et al. (2015)</xref>
</td>
<td rowspan="3" align="center">RAW264.7 cells</td>
<td rowspan="3" align="center">LPS</td>
<td align="center">25&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td rowspan="3" align="center">NO production</td>
<td align="center">25&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">25&#xa0;&#xb5;M</td>
<td align="center">4,5-DCQA</td>
<td align="center">25&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">12.5&#xa0;&#xb5;M</td>
<td align="center">3,4-DCQA</td>
<td align="center">12.5&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B14">Chen et al. (2016)</xref>
</td>
<td align="center">Mice</td>
<td align="center">Acute lung injury via LPS</td>
<td align="center">25. 50&#xa0;mg/kg bw, i.p.</td>
<td align="center">3,5-DCQA</td>
<td align="center">TNF&#x3b1;/IL-6 protein secretion in BALF</td>
<td align="center">25&#xa0;mg/kg bw</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B31">Jang et al. (2021)</xref>
</td>
<td rowspan="2" align="center">RAW264.7 cells</td>
<td rowspan="2" align="center">LPS</td>
<td rowspan="2" align="center">1, 2, 4&#xa0;&#xb5;M</td>
<td rowspan="2" align="center">4,5-DCQA</td>
<td align="center">TNF&#x3b1; protein expression, NO production, p65 translocation, p38/JNK phosphorylation</td>
<td align="center">4&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">IL-6/iNOS/COX-2/PGE<sub>2</sub> protein expression, I&#x3ba;B&#x3b1; phosphorylation</td>
<td align="center">2&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B32">Jang et al. (2022)</xref>
</td>
<td rowspan="3" align="center">Rat primary chondrocytes</td>
<td rowspan="3" align="center">IL-1&#x3b2;</td>
<td rowspan="3" align="center">10, 20, 40&#xa0;&#xb5;M</td>
<td rowspan="3" align="center">4,5-DCQA</td>
<td align="center">TNF&#x3b1;/iNOS/COX-2 protein expression, NO production</td>
<td align="center">10&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">PGE<sub>2</sub> protein expression, p65 translocation</td>
<td align="center">20&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">I&#x3ba;B&#x3b1; phosphorylation</td>
<td align="center">40&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B40">Kim et al. (2020)</xref>
</td>
<td rowspan="3" align="center">RAW264.7 cells</td>
<td rowspan="3" align="center">LPS</td>
<td align="center">n/a</td>
<td rowspan="3" align="center">3,4-DCQA</td>
<td align="center">NO production</td>
<td align="center">7.95&#xa0;&#xb5;M (IC<sub>50</sub>)</td>
</tr>
<tr>
<td align="center">12,5&#x2013;50&#xa0;&#xb5;M</td>
<td align="center">IL-6 protein expression</td>
<td align="center">25&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">12,5&#x2013;50&#xa0;&#xb5;M</td>
<td align="center">TNF&#x3b1; protein expression</td>
<td align="center">50&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B38">Kim et al. (2022b)</xref>
</td>
<td rowspan="2" align="center">EA.hy926 cells</td>
<td rowspan="2" align="center">LPS</td>
<td rowspan="2" align="center">1 &#x26; 5&#xa0;&#xb5;M</td>
<td rowspan="2" align="center">1,3-DCQA</td>
<td align="center">
<italic>IL-1b</italic> expression, p38 phosphorylation</td>
<td align="center">1&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">p65 translocation</td>
<td align="center">5&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B49">Li et al. (2013a)</xref>
</td>
<td rowspan="3" align="center">Mice macrophages</td>
<td rowspan="3" align="center">LPS</td>
<td rowspan="3" align="center">50 &#x26; 190&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td rowspan="3" align="center">IL-6 protein expression</td>
<td rowspan="3" align="center">50&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">3,4-DCQA</td>
</tr>
<tr>
<td align="center">4,5-DCQA</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B50">Li et al. (2022)</xref>
</td>
<td align="center">RAW264.7 cells</td>
<td align="center">LPS</td>
<td align="center">3.125&#x2013;100&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td align="center">NO production</td>
<td align="center">3.125&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B65">Noh et al. (2022)</xref>
</td>
<td align="center">BMDMs</td>
<td align="center">LPS</td>
<td align="center">10, 25, 50&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td align="center">IL-1&#x3b2; protein expression</td>
<td align="center">10&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B69">Park et al. (2022)</xref>
</td>
<td align="center">Mice</td>
<td align="center">Complete Freund Adjuvant</td>
<td align="center">10, 30&#xa0;mg/kg bw, p.o.</td>
<td align="center">3,5-DCQA</td>
<td align="center">STAT3 phosphorylation</td>
<td align="center">30&#xa0;mg/kg bw</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B75">Puangpraphant et al. (2011)</xref>
</td>
<td rowspan="2" align="center">RAW264.7 cells</td>
<td rowspan="2" align="center">LPS</td>
<td rowspan="2" align="center">1&#x2013;200&#xa0;&#xb5;M</td>
<td rowspan="2" align="center">4,5-DCQA</td>
<td align="center">iNOS protein expression</td>
<td align="center">50&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">COX-2 protein expression</td>
<td align="center">200&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="4" align="center">
<xref ref-type="bibr" rid="B91">Tang et al. (2023)</xref>
</td>
<td rowspan="2" align="center">J774A.1 cells</td>
<td rowspan="2" align="center">LPS &#x2b; IFN&#x3b3;</td>
<td rowspan="2" align="center">5, 100, 200&#xa0;&#xb5;M</td>
<td rowspan="2" align="center">3,5-DCQA</td>
<td align="center">STAT3 phosphorylation</td>
<td align="center">50&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<italic>IL-1b/TNFa/IL-6/iNOS</italic> expression, p65/I&#x3ba;B&#x3b1; phosphorylation</td>
<td align="center">100&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="2" align="center">RAW264.7 cells</td>
<td rowspan="2" align="center">LPS &#x2b; IFN&#x3b3;</td>
<td rowspan="2" align="center">5, 100, 200&#xa0;&#xb5;M</td>
<td rowspan="2" align="center">3,5-DCQA</td>
<td align="center">
<italic>IL-6</italic> expression, p65/I&#x3ba;B&#x3b1;/STAT3 phosphorylation</td>
<td align="center">100&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<italic>IL-1b/iNOS</italic> expression</td>
<td align="center">200&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B95">Tian et al. (2020a)</xref>
</td>
<td rowspan="3" align="center">RAW264.7 cells</td>
<td rowspan="3" align="center">LPS</td>
<td rowspan="3" align="center">20, 40, 80&#xa0;&#xb5;M</td>
<td align="center">3,4-DCQA</td>
<td align="center">NO production<break/>PGE<sub>2</sub> protein expression</td>
<td align="center">80&#xa0;&#xb5;M<break/>20&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">3,5-DCQA</td>
<td align="center">NO production<break/>PGE<sub>2</sub> protein expression</td>
<td align="center">40&#xa0;&#xb5;M<break/>20&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">4,5-DCQA</td>
<td align="center">NO production<break/>PGE<sub>2</sub> protein expression</td>
<td align="center">40&#xa0;&#xb5;M<break/>20&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B105">Wang and Xiao (2019)</xref>
</td>
<td align="center">Mice</td>
<td align="center">Acute lung injury via LPS</td>
<td align="center">5, 10, 20&#xa0;mg, i.p.</td>
<td align="center">3,5-DCQA</td>
<td align="center">IL-1&#x3b2;/IL-6/CCL2/iNOS/COX-2/NLRP3 protein expression (lung), TNF&#x3b1; protein expression in BALF, p65 phosphorylation in lung tissue</td>
<td align="center">5&#xa0;mg</td>
</tr>
<tr>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B107">Wu et al. (2022)</xref>
</td>
<td align="center">BMDMs</td>
<td align="center">LPS</td>
<td align="center">290&#xa0;&#xb5;M</td>
<td align="center">1,3-DCQA</td>
<td align="center">
<italic>IL-1b/IL-6/iNOS</italic> expression</td>
<td align="center">290&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">Mice</td>
<td align="center">MSU (Na-Urate)</td>
<td align="center">25&#xa0;mg/kg bw, i.p.</td>
<td align="center">1,3-DCQA</td>
<td align="center">NLRP3 protein expression</td>
<td align="center">25&#xa0;mg/kg bw</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B109">Xia et al. (2014)</xref>
</td>
<td align="center">Human coronary artery smooth muscle cells</td>
<td align="center">Cytokine mix</td>
<td align="center">10&#xa0;&#xb5;M</td>
<td align="center">1,3-DCQA</td>
<td align="center">
<italic>iNOS</italic> expression, iNOS protein expression</td>
<td align="center">10&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B111">Yang et al. (2023)</xref>
</td>
<td align="center">MH7a cells</td>
<td align="center">TNF&#x3b1;</td>
<td align="center">20&#xa0;&#xb5;M</td>
<td align="center">3,5-DCQA</td>
<td align="center">
<italic>IL-1b/IL-17A</italic> expression,<break/>IL-1&#x3b2;/IL-17A protein expression</td>
<td align="center">20&#xa0;&#xb5;M</td>
</tr>
<tr>
<td rowspan="2" align="center">RAW264.7 cells</td>
<td rowspan="2" align="center">LPS</td>
<td rowspan="2" align="center">1, 20, 50&#xa0;&#xb5;M</td>
<td rowspan="2" align="center">3,5-DCQA</td>
<td align="center">IL-17A protein expression</td>
<td align="center">20&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">ERK phosphorylation</td>
<td align="center">1&#xa0;&#xb5;M</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B118">Zheng et al. (2022)</xref>
</td>
<td align="center">BMDMs</td>
<td align="center">Ox-LDL</td>
<td align="center">10&#xa0;&#xb5;M</td>
<td align="left"/>
<td align="center">
<italic>IL-1b/iNOS</italic> expression, IL-1&#x3b2;/iNOS/COX-2 protein expression, p65/I&#x3ba;B&#x3b1; phosphorylation</td>
<td align="center">10&#xa0;&#xb5;M</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BALF, bronchoalveolar lavage fluid; BMDM, bone marrow-derived macrophages; iNOS, inducible nitric oxide synthase; JNK, c-Jun NH2-terminal kinases; LPS, lipopolysaccharide; PGE<sub>2</sub>, prostaglandin E2; TBHP, tert.-butylhydroperoxide.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4-2-1">
<title>4.2.1 Regulation of inflammation mediators and cytokines</title>
<p>Cytokines are described as rather small, secreted proteins inducing and controlling the immune response. After lung injury or infection they control the respective response possibly resulting in clearance of the disease, repair of tissue and lastly return to homeostasis (<xref ref-type="bibr" rid="B3">Atamas et al., 2013</xref>). The impact of DCQAs on several cytokines and mediators, which are involved in the pathogeneses of respiratory diseases, was evaluated.</p>
<sec id="s4-2-1-1">
<title>4.2.1.1 Downregulation of IL-1&#x3b2;</title>
<p>IL-1&#x3b2; represents an IL-1 type cytokine and therefore a major mediator of innate immune reactions. Indicated as pro-inflammatory cytokine, its activation results in cellular cascades via NF-&#x3ba;B and MAPK pathways and subsequent expression of various target genes, e.g., <italic>IL-6, COX-2</italic> or <italic>IL-1b</italic> (<xref ref-type="bibr" rid="B106">Weber et al., 2010</xref>). The alleviation of an IL-1&#x3b2;-mediated inflammatory response by DCQAs has been evaluated applying 1,3-, 3,5-, and 4,5- DCQA to several rodent- (RAW264.7, BMDMs, J774A.1, BV2) and human-based (EA.hy926, MH7A) cells on a transcriptional and protein level after incubation with stimuli, i.e., LPS, IFN-&#x3b3;, TNF&#x3b1;, or ox-LDL. mRNA expression of IL-1&#x3b2; after stimuli was decreased by all applied DCQAs with PoDs ranging from 1&#x2013;290&#xa0;&#xb5;M for 1,3-DCQA, of 10&#x2013;200&#xa0;&#xb5;M for 3,5-DCQA, and of 10&#xa0;&#xb5;M for 4,5-DCQA (<xref ref-type="bibr" rid="B38">Kim D. B. et al., 2022</xref>; <xref ref-type="bibr" rid="B69">Park et al., 2022</xref>; <xref ref-type="bibr" rid="B107">Wu et al., 2022</xref>; <xref ref-type="bibr" rid="B118">Zheng et al., 2022</xref>; <xref ref-type="bibr" rid="B91">Tang et al., 2023</xref>; <xref ref-type="bibr" rid="B111">Yang et al., 2023</xref>). Comparing this data, the lowest observed PoD is similar for all DCQAs, however a relatively wide range for 1,3- and 3,5-DCQA is apparent. Expression of <italic>IL-1b</italic> after induced inflammation was verified <italic>in vitro</italic> on a protein level (<xref ref-type="fig" rid="F6">Figure 6A</xref>) in MH7A&#xa0;cells and bone marrow-derived macrophages (BMDMs) for 3,5-DCQA (PoDs: 10&#x2013;20&#xa0;&#xb5;M) and 4,5-DCQA (PoD: 10&#xa0;&#xb5;M) after incubation with LPS or ox-LDL (<xref ref-type="bibr" rid="B65">Noh et al., 2022</xref>; <xref ref-type="bibr" rid="B118">Zheng et al., 2022</xref>; <xref ref-type="bibr" rid="B111">Yang et al., 2023</xref>). Here, no relevant difference in PoDs between DCQAs and thus no difference in biological activity, was observed. A decrease of IL-1&#x3b2; after a pro-inflammatory stimuli was also confirmed <italic>in vivo</italic> for 3,5-DCQA. In a lung specific model, a decrease in IL-1&#x3b2; secretion after intraperitoneal injection of 5&#xa0;mg to an acute lung injury model in mice was observed (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>; <xref ref-type="bibr" rid="B91">Tang et al., 2023</xref>). This further indicates the anti-inflammatory properties of DCQAs <italic>in vitro</italic> and <italic>in vivo</italic>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>
<italic>In vitro</italic> data on anti-inflammatory properties of DCQAs across different studies. Data is displayed as a scatter plot where each dot represents a point of departure (PoD) obtained from different studies. <bold>(A)</bold> PoDs regarding the inhibition of cytokine secretion on a protein level. &#x25cf; IL-17A release, &#x25b2; IL-6 release, &#x25a0; IL-1&#x3b2; release, <bold>&#x2666;</bold> TNF&#x3b1; release. <bold>(B)</bold> PoDs on the inhibition of the NF-&#x3ba;B activation. &#x25cf; Phosphorylation of I&#x3ba;B&#x3b1;, &#x25a0; p65 translocation in the nucleus, &#x25b2; phosphorylation of p65.</p>
</caption>
<graphic xlink:href="fphar-15-1371613-g006.tif"/>
</fig>
</sec>
<sec id="s4-2-1-2">
<title>4.2.1.2 Regulation of IL-17A/TNF&#x3b1;</title>
<p>IL-17A is involved in various pathological outcomes, including acute and chronic respiratory diseases (<xref ref-type="bibr" rid="B23">Gurczynski and Moore, 2018</xref>). <xref ref-type="bibr" rid="B111">Yang et al. (2023)</xref> observed a decrease of the IL-17A protein level in MH7A and RAW264.7 cells after a pro-inflammatory trigger with TNF&#x3b1; or LPS, respectively, and subsequent 3,5-DCQA treatment with 20&#xa0;&#xb5;M and higher (<xref ref-type="bibr" rid="B111">Yang et al., 2023</xref>). Furthermore, IL-17 is able to induce TNF&#x3b1; in epithelial, endothelial, and fibroblastic cells. The lung is one of many organs which is affected by TNF&#x3b1; within inflammatory diseases, e.g., chronic bronchitis, COPD, and asthma. TNF&#x3b1;-dependent inflammation is supposed to be based on deregulation of leukocytes and lymphocytes recruitment as well as depletion of the cellular antioxidant GSH and hence the induction of oxidative stress (<xref ref-type="bibr" rid="B64">Mukhopadhyay et al., 2006</xref>). Therefore, TNF&#x3b1; secretion is one parameter to evaluate the anti-inflammatory potential of DCQAs. The impact of DCQAs on TNF&#x3b1; within stimulated cell systems has been investigated in various studies (<xref ref-type="fig" rid="F6">Figure 6A</xref>). 3,4- and 4,5-DCQA were applied to stimulated RAW264.7 resulting in a decrease of TNF&#x3b1; secretion (<xref ref-type="bibr" rid="B40">Kim et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>). Furthermore, primary rat chondrocytes were treated with 4,5-DCQA, respectively, resulting in a similar observation of decreased TNF&#x3b1; protein level (<xref ref-type="bibr" rid="B32">Jang et al., 2022</xref>; <xref ref-type="bibr" rid="B69">Park et al., 2022</xref>). Taken together, PoDs of 50&#xa0;&#x3bc;M and 4&#x2013;10&#xa0;&#xb5;M were determined for 3,4- and 4,5-DCQA, respectively. This indicates, that 4,5-DCQA seems to obtain a higher biological activity regarding inhibition of TNF&#x3b1; secretion compared to 3,4- and 3,5-DCQA. An impact of 3,5- and 4,5-DCQA on the TNF&#x3b1; expression was also observed within <italic>in vivo</italic> studies. In more detail, TNF&#x3b1; protein expression was markedly decreased in lung tissue as well as in bronchoalveolar lavage fluid (BALF) of an acute lung injury mice model after intraperitoneal injection of 5&#xa0;mg and 25&#xa0;mg/kg bw 3,5-DCQA, respectively (<xref ref-type="bibr" rid="B14">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>). Thus, <italic>in vivo</italic> data confirms the potential of DCQAs to inhibit TNF&#x3b1;, and therefore an important pro-inflammatory mediator.</p>
</sec>
<sec id="s4-2-1-3">
<title>4.2.1.3 Impact on IL-6 regulation</title>
<p>IL-6 represents another pro-inflammatory cytokine with an important role in respiratory diseases associated with inflammation but also in the pathogenesis of asthma and potentially COPD (<xref ref-type="bibr" rid="B81">Rincon and Irvin, 2012</xref>). It binds to its receptor IL-6R which subsequently associates with gp130 resulting in an activation of specific JAK tyrosine kinases, following phosphorylation, and activation of transcription factors such as STAT3. Furthermore, IL-6 dependent activation of C/EBP&#x3b2; via the MAPK pathway is known (<xref ref-type="bibr" rid="B81">Rincon and Irvin, 2012</xref>). On a transcriptional level, reduction of LPS-induced <italic>IL-6</italic> expression was observed <italic>in vitro</italic> after treatment with 1,3- and 3,5-DCQA at PoDs of 290&#xa0;&#xb5;M and 100&#xa0;&#x3bc;M, respectively (<xref ref-type="bibr" rid="B69">Park et al., 2022</xref>; <xref ref-type="bibr" rid="B107">Wu et al., 2022</xref>; <xref ref-type="bibr" rid="B91">Tang et al., 2023</xref>). Comparing this data, no relevant difference across cell systems and DCQAs were obvious considering that Wu and colleagues (2022) only used one concentration of 290&#xa0;&#xb5;M which explains the higher PoD of 1,3-DCQA. IL-6 expression was further evaluated <italic>in vitro</italic> on a protein level resulting in a similar observation of decreased IL-6 levels in inflammatory cell models after DCQAs incubation. In more detail, PoDs for reduced IL-6 expression ranging between 25&#x2013;50&#xa0;&#xb5;M for 3,4-DCQA, at 50&#xa0;&#xb5;M for 3,5-DCQA, and a range of 2&#x2013;50&#xa0;&#xb5;M for 4,5-DCQA were obtained (<xref ref-type="bibr" rid="B49">Li Y. et al., 2013</xref>; <xref ref-type="bibr" rid="B40">Kim et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B69">Park et al., 2022</xref>). The comparison of PoDs suggests that protein expression seems to be more sensitive than transcriptional assessment of IL-6 and further that 4,5-DCQA is suggested to be biologically slightly more active than 3,4- and 3,5-DCQA (<xref ref-type="fig" rid="F6">Figure 6A</xref>). IL-6 secretion was also investigated <italic>in vivo</italic> after treatment of inflammation models with 3,5-DCQA. Most importantly, two studies investigated IL-6 secretion in lung tissue and BALF after intraperitoneal injection of 3,5-DCQA in a LPS-induced acute lung injury model in mice. While the IL-6 protein level in lung tissue was already significantly reduced applying 5&#xa0;mg 3,5-DCQA (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>), the IL-6 level in BALF was markedly decreased at a dose of 25&#xa0;mg/kg bw (<xref ref-type="bibr" rid="B14">Chen et al., 2016</xref>). The <italic>in vivo</italic> data confirms the anti-inflammatory properties in regard of inhibition of IL-6 secretion observed <italic>in vitro</italic>. The observation of reduced IL-6 in stimulated cell and animal models treated with DCQAs is in line with the observation on the downstream IL-6-dependent activation of STAT3. Treatment with 3,5-DCQA resulted in a decrease in phosphorylated and thus activated STAT3 in stimulated rodent cells at concentrations as low as 100&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B69">Park et al., 2022</xref>; <xref ref-type="bibr" rid="B91">Tang et al., 2023</xref>). Furthermore, 3,5-DCQA at a dose of 30&#xa0;mg/kg bw reduced the protein level of phosphorylated STAT3 in the spinal cord tissue of a complete Freund&#x2019;s adjuvant-induced inflammatory model in mice (<xref ref-type="bibr" rid="B69">Park et al., 2022</xref>).</p>
</sec>
<sec id="s4-2-1-4">
<title>4.2.1.4 Evaluation of impact in CCL2</title>
<p>Lastly, the protein level of the chemokine CCL2, which is suggested to be involved in regulation of neutrophilic lung inflammation (<xref ref-type="bibr" rid="B61">Mercer et al., 2014</xref>), was evaluated <italic>in vivo</italic>. <xref ref-type="bibr" rid="B105">Wang and Xiao (2019)</xref> applied 3,5-DCQA via intraperitoneal injection to an acute lung injury model in mice induced by LPS and observed a decrease of CCL2 secretion after an administration of 5&#xa0;mg 3,5-DCQA i. p. (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>).</p>
</sec>
<sec id="s4-2-1-5">
<title>4.2.1.5 Inhibition pro-inflammatory protein expression</title>
<p>Besides the inhibition of cytokines, DCQAs impact further inflammatory mediators, such as iNOS expression, NO production, COX-2 expression, and PGE<sub>2</sub> expression. Under physiological conditions the nitric oxide synthase (NOS) produces endogenous NO via a constitutive NOS isoform. During inflammatory processes, however, an inducible NOS (iNOS) isoform is expressed and results in an excess of NO, which can regulate expression of certain cytokines and chemokines (<xref ref-type="bibr" rid="B86">Speyer et al., 2003</xref>). An enhanced iNOS expression has been associated with several inflammatory diseases of the lung, e.g., COPD, asthma, and acute respiratory distress syndrome (<xref ref-type="bibr" rid="B27">Huang et al., 2015</xref>). The impact of DCQAs on iNOS expression on a transcriptional and protein level within inflammatory triggered cell models has mainly been evaluated applying rodent cell models. mRNA expression was decreased within inflammatory BMDMs, RAW264.7, and J77A.1 cell models after incubation with DCQAs with PoD of 290&#xa0;&#xb5;M for 1,3-DCQA (<xref ref-type="bibr" rid="B107">Wu et al., 2022</xref>), ranging between 100&#x2013;200&#xa0;&#xb5;M for 3,5-DCQA (<xref ref-type="bibr" rid="B91">Tang et al., 2023</xref>), and of 10&#xa0;&#xb5;M for 4,5-DCQA (<xref ref-type="bibr" rid="B118">Zheng et al., 2022</xref>). On a protein level inflammatory models of RAW264.7 cells, primary rat chondrocytes, and BMDMs were treated with 4,5-DCQA resulting in PoDs of a range between 2&#x2013;200&#xa0;&#x3bc;M, respectively (<xref ref-type="bibr" rid="B75">Puangpraphant et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B32">Jang et al., 2022</xref>; <xref ref-type="bibr" rid="B69">Park et al., 2022</xref>; <xref ref-type="bibr" rid="B118">Zheng et al., 2022</xref>). Xia et al. (2014) assessed the impact of 1,3-DCQA treatment in iNOS expression in a cytokine-induced inflammatory model of human coronary artery smooth muscle cells observing a decrease of induced iNOS expression at 10&#xa0;&#xb5;M for both, transcriptional and protein expression (<xref ref-type="bibr" rid="B109">Xia et al., 2014</xref>). Taken this information together, it is indicated that protein expression is more sensitive than transcription of iNOS without a relevant difference of biological activity between evaluated DCQAs. The expression of iNOS was also evaluated <italic>in vivo</italic> on a protein level. Here, the protein level in lung was decreased after administration of 5&#xa0;mg 3,5-DCQA applied via intraperitoneal injection to an acute lung injury model in mice (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>; <xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>). The <italic>in vivo</italic> data emphasizes potential to inhibit iNOS observed <italic>in vitro</italic>.</p>
<p>Besides expression of iNOS, the downstream endpoint NO production has been assessed in numerous studies. Excessively produced NO by iNOS is indicated to be involved in constriction, inflammation and remodeling of the lung observed in asthma, hence are associated with adverse effects (<xref ref-type="bibr" rid="B73">Prado et al., 2011</xref>). Therefore, reduction of increased NO is suggested to be beneficial for inflammatory respiratory diseases. NO production <italic>in vitro</italic> was mainly assessed in LPS-stimulated RAW264.7 cells with PoDs ranging from 8&#x2013;80&#xa0;&#xb5;M for 3,4-DCQA, 3&#x2013;40&#xa0;&#xb5;M for 3,5-DCQA, and 4&#x2013;40&#xa0;&#xb5;M for 4,5- DCQA (<xref ref-type="bibr" rid="B13">Chen et al., 2015</xref>; <xref ref-type="bibr" rid="B95">Tian D. et al., 2020</xref>; <xref ref-type="bibr" rid="B40">Kim et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B50">Li et al., 2022</xref>). Within IL-1&#x3b2;-stimulated primary rat chondrocytes a PoD of 10&#xa0;&#xb5;M was observed after 4,5-DCQA treatment (<xref ref-type="bibr" rid="B32">Jang et al., 2022</xref>). Taken together, no isoform-dependent biological activity was observed for this endpoint.</p>
<p>COX-2 is an inducible isoform of cyclooxygenase which catalyzes the cyclooxygenation of arachidonic acid to prostaglandin G<sub>2</sub> and subsequently H<sub>2</sub>. The promotor region of <italic>COX-2</italic> contains various transcriptional regulatory elements such as the cAMP response element (CRE) or for NF-&#x3ba;B (<xref ref-type="bibr" rid="B68">Park and Christman, 2006</xref>). Hence, an induction or repression of COX-2 can be related to an activation or inhibition of the NF-&#x3ba;B signaling pathway. Protein expression of COX-2 was evaluated <italic>in vitro</italic> in various studies, mainly applying RAW264.7, BMDMs but also in BV2 cells and primary chondrocytes derived from rats. All cell models were first treated with a pro-inflammatory trigger, i.e., LPS, IL-1&#x3b2;, or ox-LDL and subsequently with 3,5- or 4,5-DCQA as single substance. In all test systems a decrease of COX-2 protein expression compared to the effects of sole inflammation-inducing agent was apparent with PoDs ranging between 2 and 20&#xa0;&#xb5;M for 4,5-DCQA (<xref ref-type="bibr" rid="B75">Puangpraphant et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B32">Jang et al., 2022</xref>; <xref ref-type="bibr" rid="B69">Park et al., 2022</xref>; <xref ref-type="bibr" rid="B118">Zheng et al., 2022</xref>). Comparing protein expression PoDs and biological activity across DCQAs, no relevant difference is apparent. Data on COX-2 expression was also available for an <italic>in vivo</italic> study. <xref ref-type="bibr" rid="B105">Wang and Xiao (2019)</xref> observed a reduction of COX-2 protein level in lung tissue after applying 5&#xa0;mg 3,5-DCQA intraperitoneally to an acute lung injury model in mice. Therefore, the <italic>in vitro</italic> determined amelioration of COX-2 induction after inflammatory stimuli was confirmed <italic>in vivo</italic> for the two isoforms tested.</p>
<p>The same pattern as for COX-2 has been observed for a reaction product of COX-2, prostaglandin E<sub>2</sub> (PGE<sub>2</sub>). Within LPS- or IL-1&#x3b2;-stimulated rodent cell models 3,4-, 3,5-, and 4,5-DCQA reduced the PGE<sub>2</sub> level with PoDs ranging without differences regarding the isoforms from 2&#x2013;20&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B96">Tian K. et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B32">Jang et al., 2022</xref>).</p>
</sec>
<sec id="s4-2-1-6">
<title>4.2.1.6 Evaluation of DCQA-mediated impact on respiratory diseases</title>
<p>The occurrence of inflammation is common in broad span of respiratory diseases, e.g., acute/chronic bronchitis, asthma, or COPD. It was shown that INF-&#x3b1;, INF-&#x3b3;, TNF&#x3b1;, IL-10 and IL-6 were enhanced in plasma after influenza virus infection (<xref ref-type="bibr" rid="B34">Kaiser et al., 2001</xref>). More importantly, IL-6 and TNF&#x3b1; plasma and nasopharyngeal lavage level correlated with symptom scores as well as temperature values (<xref ref-type="bibr" rid="B34">Kaiser et al., 2001</xref>). Hence, the reduction of such cytokines by DCQAs can strongly contribute to the reduction of symptoms and play an important role in the treatment of inflammation-related respiratory diseases. Besides, increase of the cytokine IL-17A results in enhanced IL-6 levels, which further increases MUC5AC and MUC5B protein levels (<xref ref-type="bibr" rid="B42">Kim and Criner, 2013</xref>). These proteins play a crucial role in the mucus and enhanced expression can be seen as increased mucus production. Hence, decreasing IL-17A as well as IL-6 by DCQAs is a valid treatment option for symptom relief. Furthermore, IL-17 and IL-6 play an important role in Th2-low asthma and therefore a co-treatment with DCQAs might also be beneficial in reducing inflammation during this severe respiratory disease (<xref ref-type="bibr" rid="B79">Ramakrishnan et al., 2019</xref>; <xref ref-type="bibr" rid="B24">Habib et al., 2022</xref>). As previously stated the induction of iNOS expression correlates with several inflammatory diseases of the lung, e.g., COPD, asthma, and acute respiratory distress syndrome (<xref ref-type="bibr" rid="B27">Huang et al., 2015</xref>). Furthermore iNOS-triggered NO inducues mucus secretion in allergic asthma and also results in enhanced ROS levels (<xref ref-type="bibr" rid="B46">Lee et al., 2021</xref>). Therefore, reduction of iNOS expression, as observed after treatment with DCQAs, can result in a beneficial effect in treatment of respiratory diseases. Last but not least, COX-2 is expressed in response to various pro-inflammatory cytokines and mediators. Hence, induction of COX-2 is associated with the pathology of inflammation-related respiratory diseases (<xref ref-type="bibr" rid="B83">Rumzhum and Ammit, 2016</xref>). Again, the treatment with DCQAs can contribute in a positive way for respective respiratory diseases.</p>
</sec>
</sec>
<sec id="s4-2-2">
<title>4.2.2 Immuno-modulating properties</title>
<p>Immunomodulation can be described as the property of a drug to shift the balance of the activity of immune cells. This effect can be both activating and suppressive. Very briefly, different cell types can be involved in an immunogenic response: different granulocytes, macrophages, dendritic cells, monocytes, mast cells, and various differentiated lymphocytes (<xref ref-type="bibr" rid="B113">Zebeaman et al., 2023</xref>). Within this chapter the potential of DCQAs to impact immune cells will be discussed, even though data is, so far, scarce.</p>
<p>
<xref ref-type="bibr" rid="B93">Tatefuji et al. (1996)</xref> investigated the effect of 3,4-, 3,5-, and 4,5-DCQA on spreading and mobility of isolated murine macrophages. Both, spreading and mobility, was increased after applying the investigated DCQAs without revealing an isoform-dependent difference (<xref ref-type="bibr" rid="B93">Tatefuji et al., 1996</xref>). The result of this study can be interpreted as an activation of macrophages in a not stimulated, i.e., non-inflammatory, environment, thus DCQAs acting as immune-supporting substances. Additionally to this study, an immune-suppressive effect by 1,3-DCQA at roughly 200&#xa0;&#xb5;M was described <italic>in vitro</italic> via the blocking of CD28, a T-cell receptor that regulates CD-28-dependent IL-2 expression as well as being crucial for T-cell activation (<xref ref-type="bibr" rid="B16">Dong et al., 2006</xref>). In <italic>in vivo</italic> studies, a downregulation of neutrophils was observed in a BALF analysis of an acute lung injury model in mice after treatment with 25&#xa0;mg/kg bw intraperitoneal injected 3,5-DCQA (<xref ref-type="bibr" rid="B14">Chen et al., 2016</xref>). In addition, the number of leucocytes was reduced in an acute airway inflammation mice model induced by ammonia liquor after oral administration of 20&#xa0;mg/kg bw 3,4-, 3,5-, or 4,5-DCQA for 3&#xa0;days (<xref ref-type="bibr" rid="B108">Wu et al., 2015</xref>). Even though all applied DCQAs reduced the number of leucocytes significantly, 3,4-DCQA obtained the highest biological activity in this study followed by 4,5- and 3,5- DCQA. Taken together, both studies showed the potential of DCQAs to downregulate inflammatory cells during an inflammation <italic>in vivo</italic>.</p>
<p>Taken together, immunomodulation by DCQAs is not sufficiently depicted in available studies. However, the potential to activate macrophages and to downregulate immune cells, especially during inflammation <italic>in vivo</italic>, indicates a potential immune-modulating property of DCQAs.</p>
</sec>
<sec id="s4-2-3">
<title>4.2.3 Inflammation-related pathway signaling</title>
<sec id="s4-2-3-1">
<title>4.2.3.1 Deactivation of NF-&#x3ba;B pathway</title>
<p>The NF-&#x3ba;B pathway is supposed to play an important part within the pathogenesis of inflammatory diseases. It can be activated by a variety of stimuli such as cytokines, oxidative stress, and UV radiation. It obtains numerous downstream targets, which includes cytokine expression. Evidence on the role of NF-&#x3ba;B signaling pathway in inflammation associated respiratory diseases, e.g., asthma and COPD, is convincing, therefore an impact on this pathway can be a gate opener for the use as therapeutic substance within these diseases (<xref ref-type="bibr" rid="B17">Edwards et al., 2009</xref>). As a brief summary, activation of this pathway includes phosphorylation of I&#x3ba;B&#x3b1; by IKK&#x3b1; with subsequently ubiquination of I&#x3ba;B&#x3b1; (<xref ref-type="fig" rid="F7">Figure 7</xref>). This process results in a release of the NF-&#x3ba;B subunits p50/p65 from I&#x3ba;B&#x3b1; followed by their translocation in the nucleus and respective transcriptional activity (<xref ref-type="bibr" rid="B17">Edwards et al., 2009</xref>). The impact of DCQAs on the NF-&#x3ba;B pathway subsequent to its activation has been investigated <italic>in vitro</italic> on several levels (<xref ref-type="fig" rid="F6">Figure 6B</xref>). <xref ref-type="bibr" rid="B91">Tang et al. (2023)</xref> evaluated the impact of 3,5-DCQA on the phosphorylation of I&#x3ba;B&#x3b1; in J774A.1 and RAW264.7 cells after stimulation with LPS and IFN-&#x3b3;. Hereby, a decrease of I&#x3ba;B&#x3b1; phosphorylation after 3,5-DCQA treatment was observed at 100&#xa0;&#xb5;M. Furthermore, the same observation was made for 4,5-DCQA after treatment of rodent macrophages with pro-inflammatory triggers at PoDs of 2 and 10&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B118">Zheng et al., 2022</xref>). In addition, IL-1&#x3b2;-stimulated and 4,5-DCQ-treated primary rat-derived chondrocytes showed an increase of I&#x3ba;B&#x3b1; with a simultaneous decrease of phosphorylated I&#x3ba;B&#x3b1; in the cytosol at 40&#xa0;&#xb5;M 4,5-DCQA (<xref ref-type="bibr" rid="B32">Jang et al., 2022</xref>). Furthermore, nucleus translocation of p65 was evaluated in human- and rodent-based cell systems on protein level. <xref ref-type="bibr" rid="B32">Jang et al. (2022)</xref> observed simultaneously an increase of cytosolic p65 and decrease of p65 in the nucleus in stimulated RAW264.7 cells and primary rat-derived chondrocytes after treatment with 4,5-DCQA at concentrations of 4 and 20&#xa0;&#xb5;M (<xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>). A decreased translocation of p65 in the nucleus was also observed within LPS-stimulated EA.hy926 cells after treatment with 5&#xa0;&#xb5;M 1,3-DCQA (<xref ref-type="bibr" rid="B38">Kim D. B. et al., 2022</xref>). Lastly, a decrease in phosphorylated p65, which is associated with enhanced transcription activity, in stimulated rodent-derived cell models after treatment with 3,5- and 4,5-DCQAs at concentrations of 100 and 10&#xa0;&#x3bc;M, respectively, was observed (<xref ref-type="bibr" rid="B118">Zheng et al., 2022</xref>; <xref ref-type="bibr" rid="B91">Tang et al., 2023</xref>). Overall 4,5-DCQA seems to obtain a higher activity in regard of NF-&#x3ba;B deactivation, however data is limited to a few studies applying 3,5-DCQA to investigate this endpoint. Hence, no appropriate comparison regarding this endpoint can be made. Besides <italic>in vitro</italic> data, on respiratory tract specific study is available evaluating the potential of 3,5-DCQA to inhibit NF-&#x3ba;B activation <italic>in vivo</italic>. After intraperitoneal injection of 5&#xa0;mg 3,5-DCQA to an acute lung injury model induced by LPS in mice resulted in a decrease of phosphorylated p65 within lung tissue, suggesting less NF-&#x3ba;B-dependent transcriptional activation (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>). All in all, these data indicates that DCQAs alleviates the activation of the NF-&#x3ba;B pathway on several levels potentially regardless of the isoform.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Schematic representation of the NF-&#x3ba;B and MAPK signaling pathways and the impact of DCQA on them. NF-&#x3ba;B represents a complex of p50 and p65, which interacts with I&#x3ba;B&#x3b1;. The latter is phosphorylated and ubiquitinated by an IKK complex after stimulation, resulting in an activation of NF-&#x3ba;B with subsequent p50 and p65 translocation into the nucleus and respective transcriptional activity. The MAPK (mitogen-activated protein kinase) pathway is a multi-tiered pathway with subsequent steps of phosphorylation-dependent activation from MAP3Ks to MAP2Ks and lastly MAPKs. ERK, JNK, and p38 represent MAPKs, which translocate into the nucleus and activate several transcription factors, e.g., AP-1, CREB, c-Myc, ord C/EBP&#x3b1;. DCQAs are suggested to inhibit the phosphorylation and ubiquitination of I&#x3ba;B&#x3b1; as well as the translocation of p65 and therefore NF-&#x3ba;B activation as well as the phosphorylation of MAPKs (Figure created using BioRender, Toronto, ON, Canada).</p>
</caption>
<graphic xlink:href="fphar-15-1371613-g007.tif"/>
</fig>
</sec>
<sec id="s4-2-3-2">
<title>4.2.3.2 Impact on MAPK pathway</title>
<p>The MAPK pathway represents a signaling pathway, which is involved in several cellular processes, including inflammation. The p38 subgroup of mitogen-activated protein kinases (MAPKs), which include also extracellular signal-regulated kinases (ERK) and c-Jun NH<sub>2</sub>-terminal kinases (JNK), are a group of MAPKs that are strongly activated by cytokines and chemokines (<xref ref-type="fig" rid="F7">Figure 7</xref>). Further, activation of p38 MAPKs is suggested to be associated with the pathogenesis of COPD (<xref ref-type="bibr" rid="B80">Renda et al., 2008</xref>). Several studies investigated the potential of DCQA to alleviate the activation of the MAPK pathway after an induced inflammation by LPS <italic>in vitro</italic>. The level of phosphorylated p38, and therefore activated p38, was reduced in LPS-triggered RAW264.7 and EA.hy926 cells after treatment with 1,3- and 4,5-DCQA at concentrations of 1 and 4&#xa0;&#x3bc;M, respectively (<xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B38">Kim D. B. et al., 2022</xref>). Furthermore, the levels of phosphorylated JNK and ERK in LPS-treated RAW264.7 cells were decreased by 3,5- and 4,5-DCQA at 1 and 4&#xa0;&#x3bc;M, respectively (<xref ref-type="bibr" rid="B31">Jang et al., 2021</xref>; <xref ref-type="bibr" rid="B111">Yang et al., 2023</xref>). Taken together, these data indicates the potential of DCQAs to alleviate the activation of the MAPK signaling pathway, regardless of the applied isoform.</p>
</sec>
<sec id="s4-2-3-3">
<title>4.2.3.3 Modulation of NLRP3 inflammasome</title>
<p>The NLRP3 (NLR family pyrin domain containing 3) inflammasome is a protein complex that belongs to the group of pattern recognition receptors, which recognize pathogen-associated molecular patterns (PAMPs) as well as damage-associated molecular patterns (DAMPs). These patterns subsequently activate mechanisms to eliminate the respective stimuli, e.g., infections, and/or repair tissue. Activation of the NLRP3 inflammasome occurs as response to various stimuli, e.g., pathogens. Briefly, the activation process itself is a two-step procedure. First, priming occurs via a variety of ligands resulting in an activation of NF-&#x3ba;B with subsequent enhanced NLRP3, pro-IL-1&#x3b2;, and pro-IL18 expression. Secondly, the protein complex of the inflammasome assembles, including the final activation of NLRP3 with subsequent cleavage of pro-IL-1&#x3b2; and pro-IL18 by caspase 1 to the respective active cytokines and their extracellular secretion. During the recent years an association between activation of NLRP3 inflammasome and inflammatory respiratory diseases has been made, including allergic rhinitis, asthma, and COPD (<xref ref-type="bibr" rid="B47">Leszczy&#x144;ska et al., 2022</xref>). The potential of 1,3- and 3,5-DCQA to alleviate the activation of the NLRP3 inflammasome has been evaluated in two <italic>in vivo</italic> studies. Wang and colleagues (2022) applied 3,5-DCQA via intraperitoneal injection to an acute lung injury model in mice and observed a decrease of NLRP3 protein in lung tissue after injection of 5&#xa0;mg 3,5-DCQA (<xref ref-type="bibr" rid="B105">Wang and Xiao, 2019</xref>). Furthermore, 25&#xa0;mg/kg bw intraperitoneal injected 1,3-DCQA to an arthritis model in mice induced by monosodium urate resulted in decreased levels of NLRP3 protein in the respective paw tissue (<xref ref-type="bibr" rid="B107">Wu et al., 2022</xref>). Taken together, it can be suggested that DCQAs reduce the activation of NLRP3 inflammasome, however data is scarce and further research needs to be done to elucidate the impact of DCQAs on this inflammatory relevant pathway.</p>
<p>Inflammatory-associated pathways such as NLRP3, NF-&#x3ba;B, and MAPK play a crucial role in inflammation-related respiratory diseases such as acute/chronic bronchitis, asthma, or COPD (<xref ref-type="bibr" rid="B62">Mishra et al., 2018</xref>; <xref ref-type="bibr" rid="B47">Leszczy&#x144;ska et al., 2022</xref>; <xref ref-type="bibr" rid="B67">Panek et al., 2023</xref>). Therefore, a treatment with agents which can decrease the activation of these pathways, such as DCQA, can have a positive impact in the treatment of such respiratory diseases.</p>
</sec>
</sec>
</sec>
<sec id="s4-3">
<title>4.3 Effects associated to respiratory diseases</title>
<p>This chapter will include investigated mechanisms or endpoints that are relevant for the treatment of respiratory diseases but are not categorized as antioxidative or anti-inflammatory effects.</p>
<p>Two <italic>in vitro</italic> studies investigated the inhibitory activity of DCQAs on the TRPV3 channel (transient receptor potential cation channel, subfamily V, member 3). <xref ref-type="bibr" rid="B89">Sun et al. (2020)</xref> observed inhibition rates of 81.8% and 90.6% by 50&#xa0;&#xb5;M 3,5- and 4,5-DCQA in HEK293 cells. Furthermore, IC<sub>50</sub> values of 2.7 and 0.9&#xa0;&#xb5;M for 3,5- and 4,5-DCQA were observed in HEK293 cells (<xref ref-type="bibr" rid="B76">Qi et al., 2022</xref>). TRPV3, together with TRPV1, 2, and 4, is not only expressed in kidney cells, e.g., HEK293, but also in the laryngeal epithelium and is suggested to be involved in the genesis of cough (<xref ref-type="bibr" rid="B25">Hamamoto et al., 2008</xref>). The link between the inhibitory effect of DCQAs on TRPV3 can be further extrapolated to a reduction in coughs as Wu and colleagues (2016) observed less cough events after treatment with DCQAs in an ammonia liquor-induced cough model. Within this study, mice were treated with 10 and 20&#xa0;mg/kg bw 3,4-, 3,5-, and 4,5-DCQA via oral administration once daily for 3 subsequent days followed by an inhalatory exposure to ammonium hydroxide and recording of the latent period and frequency of coughs for 2&#xa0;min. As a result, all applied DCQAs increased the latent period of coughs already at 10&#xa0;mg/kg bw up to 152%&#x2013;195% (4,5-DCQA &#x3e; 3,5-DCQA &#x3e; 3,4-DCQA). Furthermore, cough events were significantly reduced compared to untreated mice at both, 10 and 20&#xa0;mg/kg bw, and comparable with the positive control pentoxyverine (<xref ref-type="bibr" rid="B108">Wu et al., 2015</xref>). Comparing the different applied isoforms, no significant difference was observed. Furthermore, the study included a determination of the expectorant effects of the applied DCQAs via phenol red secretion in the described model. All applied DCQAs increased the secretion of phenol red compared to an untreated control already at the lower dose of 10&#xa0;mg/kg bw; hence all DCQAs resulted in enhanced expectorant activities. Hereby, 3,5-DCQA increased phenol red secretion significantly more than the other DCQAs (<xref ref-type="bibr" rid="B108">Wu et al., 2015</xref>). The antitussive property and enhanced expectorant activity were also observed applying plant-based DCQAs-containing extracts orally to mice-based ammonia-induced cough models (<xref ref-type="bibr" rid="B51">Li et al., 2012</xref>; <xref ref-type="bibr" rid="B52">Li Z.-Y. et al., 2013</xref>; <xref ref-type="bibr" rid="B28">Huang et al., 2020</xref>). On a mechanistic level, phosphodiesterase (PDE) inhibitors are known to obtain beneficial properties for the treatment of respiratory diseases as they act as bronchodilators and anti-inflammatory (<xref ref-type="bibr" rid="B84">Satori et al., 2023</xref>; <xref ref-type="bibr" rid="B87">Stolfa and Page, 2023</xref>). An inhibition of cAMP-specific PDE activity in LXFL529L cells by 3,4-DCQA was observed beginning at approx. 100&#xa0;&#x3bc;M resulting in an IC<sub>50</sub> value roughly at 1&#xa0;mM (<xref ref-type="bibr" rid="B82">R&#xf6;hrig et al., 2017</xref>). This indicates that DCQAs obtain the potential to act as bronchodilators, which is further supported by studies identifying 3,5- and 4,5-DCQA as substances with antispasmodic properties applying the inhibition of explanted guinea-pig ileum contraction as endpoint (<xref ref-type="bibr" rid="B100">Trute et al., 1997</xref>; <xref ref-type="bibr" rid="B11">Capasso et al., 1998</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>5 Discussion</title>
<sec id="s5-1">
<title>5.1 Benefit of DCQA treatment during acute bronchitis</title>
<p>Acute bronchitis represents a self-limiting inflammatory disease of the tracheobronchial tract that is characterized by a dry or productive cough for less than 3 weeks duration. It is mostly of viral origin and one of the most frequent causes of medical consultations (<xref ref-type="bibr" rid="B102">Walsh, 2015</xref>). Furthermore, it is associated with a high symptom burden, hence respective therapeutics, including mucoactive agents, antihistamines, antitussives, and decongestants, mainly focus on relieving symptoms (<xref ref-type="bibr" rid="B36">Kardos, 2015</xref>). The pathogenesis of acute bronchitis includes, among other findings, submucosal congestion and mononuclear cell infiltration. Furthermore, occlusion of the airways and inflammatory changes in the respiratory tract were observed. From an immunological point of view, release of pro-inflammatory cytokines and chemokines are suggested to contribute to symptoms of systemic and local nature. In detail, INF-&#x3b1;, INF-&#x3b3;, TNF&#x3b1;, IL-10 and IL-6 were enhanced in plasma after influenza virus infection (<xref ref-type="bibr" rid="B34">Kaiser et al., 2001</xref>). Furthermore, a correlation between increased plasma IL-6 as well as nasopharyngeal lavage levels of IL-6 and TNF&#x3b1; and symptom scores as well as temperature values was found (<xref ref-type="bibr" rid="B34">Kaiser et al., 2001</xref>). Due to this observation of a correlation between symptoms and the kinetics of cytokine secretion, an according therapy with anti-inflammatory acting substances seems beneficial. As summarized in chapter 4.2.1, <italic>in vitro</italic> and <italic>in vivo</italic> data indicated that various cytokines and inflammatory mediators were inhibited by DCQAs including IL-6 and TNF&#x3b1;, which seem to play a role during acute bronchitis. Therefore, the treatment of acute bronchitis with DCQAs containing extracts or DCQAs as single substance might help to reduce inflammatory processes during acute bronchitis and thus might be beneficial to relieve inflammation-associated symptoms. Further symptoms of acute bronchitis include dry or productive cough and at least to some degree airway obstruction. Accordingly, cough suppressants, expectorants, and bronchodilators in form of &#x3b2;<sub>2</sub>-agonsists are widely used (<xref ref-type="bibr" rid="B102">Walsh, 2015</xref>). As discussed in chapter 4.2.3, preclinical data on DCQAs suggested the ability to reduce cough events, enhance expectorant activity, and antispasmodic properties. In conclusion, DCQAs meet the needs to relieve symptoms associated with acute bronchitis and can be beneficial, as single substance or within plant-based extracts, as respective treatment.</p>
</sec>
<sec id="s5-2">
<title>5.2 Impact of DCQAs on chronic bronchitis</title>
<p>In contrast to acute bronchitis, the most used definition of chronic bronchitis describes this respiratory disease as chronic disease with sputum production for at least 3&#xa0;months per year for two subsequent years (<xref ref-type="bibr" rid="B2">Agust&#xed; et al., 2023</xref>). The origin of chronic bronchitis are divers with smoking as the main risk factor followed by inhaled irritants such as dusts or fumes (<xref ref-type="bibr" rid="B60">Mejza et al., 2017</xref>). Even though viral infections are usually the cause of acute bronchitis, repeated infections can also provoke chronic bronchitis. Mucus overproduction resulting from inflammatory signals&#x2013;also known as mucous metaplasia&#x2013;is the pathological basis for chronic bronchitis. In combination with an impairment of the mucociliary clearance, e.g., reduction of bronchial cilia, this results in an airflow impairment due to obstruction of small airways. However, obstructed airways increase irritation resulting in enhanced inflammation leading again to mucous overproduction. Mucous metaplasia can be triggered by inflammatory mechanisms and has been extensively studied in the context of Th2-dependent cytokines IL-4, IL-5, and IL-13, which play an important role within asthma. A more relevant role for chronic bronchitis seems to be the secretion of IL-17A from Th17 cells. IL-17A induces the secretion of IL-6, which subsequently activates the transcription of two important airway mucins: MUC5AC and MUC5B (<xref ref-type="bibr" rid="B42">Kim and Criner, 2013</xref>). Furthermore, <italic>MUC2</italic>, <italic>MUC5AC,</italic> and <italic>MUC5B</italic> are upregulated by activated pathways such as NF-&#x3ba;B as well as MAPK and cytokines such as IL-1&#x3b2; or TNF-&#x3b1; (<xref ref-type="bibr" rid="B94">Thai et al., 2008</xref>). Similar to acute bronchitis, treatment options for chronic bronchitis focus on symptom relief during acute exacerbations in addition to deceleration of disease progression. Important aspects of therapy are the alleviation of mucus overproduction, controlling inflammation, increasing mucociliary clearance, and reducing cough. Accordingly, the use of short- and long-acting &#x3b2;-adrenergic receptor agonists and anticholinergics as bronchodilators and to improve mucociliary clearance, glucocorticoids to reduce inflammation and mucus production, and PDE-4 inhibitors to decrease inflammation and due to their bronchodilator properties represent the common treatment strategies for chronic bronchitis (<xref ref-type="bibr" rid="B42">Kim and Criner, 2013</xref>). As stated before, based on preclinical data the possibility of DCQAs to reduce cough events, increase expectorant activity as well as the potential to act as bronchodilator due to antispasmodic properties is indicated and was shown in chapter 4.2.3. Furthermore, antioxidant properties were identified in chapter 4.1, which may be beneficial not only by reducing cellular oxidative stress, but also potentially by reducing disulfide bonds linking mucin polymers, resulting in reduced sputum viscosity (<xref ref-type="bibr" rid="B42">Kim and Criner, 2013</xref>). In addition, the anti-inflammatory properties of DCQAs were evaluated in chapter 4.2 and included not only the inhibition of relevant mediators, i.e., IL-17A, IL-6, TNF&#x3b1;, IL-1&#x3b2;, but also the inhibition of inflammation-associated pathways, i.e., NF-&#x3ba;B and MAPK. As explained above, NF-&#x3ba;B and MAPK also play a relevant role within mucin secretion and hence respective inhibition might be beneficial to alleviate mucus overproduction. In summary, based on the presented preclinical data DCQAs&#x2013;as single substance or within plant-based extracts&#x2013;indicate to have the potential to provide a benefit in the symptomatic therapy of chronic bronchitis.</p>
</sec>
<sec id="s5-3">
<title>5.3 Potential benefit of DCQAs in the treatment of COPD</title>
<p>The Global Initiative for Chronic Obstructive Lung Disease defines COPD in their 2023 report as a &#x201c;<italic>heterogeneous lung condition characterized by chronic respiratory symptoms (dyspnea, cough, expectoration and/or exacerbations) due to abnormalities of the airways (bronchitis, bronchiolitis) and/or alveoli (emphysema) that cause persistent, often progressive, airflow obstruction.</italic>&#x201d; (<xref ref-type="bibr" rid="B2">Agust&#xed; et al., 2023</xref>) This suggests that chronic bronchitis, and in particular its symptoms, can be a part of COPD. Therefore (environmental) risk factors, e.g., smoking, occupational inhalation of dusts and fumes, pathology, and pharmacological treatment are similar, except for the occurrence of emphysema within COPD (<xref ref-type="bibr" rid="B2">Agust&#xed; et al., 2023</xref>; <xref ref-type="bibr" rid="B67">Panek et al., 2023</xref>). Therefore, all arguments based on preclinical data for the benefits of treatment with DCQAs in plant-based extracts or as single substance for chronic bronchitis may also be valid for COPD. In addition, the NLRP3 inflammasome-dependent processes are suggested to play an important role in the development of COPD and potentially asthma (<xref ref-type="bibr" rid="B47">Leszczy&#x144;ska et al., 2022</xref>; <xref ref-type="bibr" rid="B67">Panek et al., 2023</xref>). Briefly, the exposure to cigarette smoke to mice results in the development of COPD alike pathologies, whereas the same exposure in NLRP3-knock out mice did not develop pathophysiological characteristics of COPD (<xref ref-type="bibr" rid="B67">Panek et al., 2023</xref>). Furthermore, NLRP3 inflammasome seems to be involved in the development of acute exacerbations of COPD (<xref ref-type="bibr" rid="B67">Panek et al., 2023</xref>). Therefore, downregulation of NLRP3 inflammasome, as it was observed for DCQAs, might be beneficial within the symptomatic treatment of COPD patients.</p>
</sec>
<sec id="s5-4">
<title>5.4 Relationship between asthma and the pharmacological activity of DCQAs</title>
<p>Asthma is a chronic inflammatory and heterogeneous airway disease with airway obstruction and airway hyperresponsiveness as its hallmarks (<xref ref-type="bibr" rid="B45">Lambrecht et al., 2019</xref>; <xref ref-type="bibr" rid="B24">Habib et al., 2022</xref>). Latter results in episodic and reversible bronchoconstriction which can be caused by allergens. Furthermore, asthma results in tissue remodeling and excessive mucus production (<xref ref-type="bibr" rid="B18">Figueiredo et al., 2023</xref>). This disease has mainly been associated with Th2 cell cytokines, i.e., IL-4, IL-5, and IL-13, however recent developments have led to a terminology of Th2-high and Th2-low asthma (<xref ref-type="bibr" rid="B45">Lambrecht et al., 2019</xref>; <xref ref-type="bibr" rid="B24">Habib et al., 2022</xref>). Briefly, as the induction of asthma is a complex topic, Th2-high asthma represents the mechanism of IL-4, IL-5, and IL-13 associated asthma, which induces roughly 50% of mild-to-moderate asthma and the majority of severe asthma inflammation (<xref ref-type="bibr" rid="B24">Habib et al., 2022</xref>). In contrast, Th2-low asthma is mediated by IL-17 and associated with IL-6, which is related to Th17 differentiation and therefore IL-17 secretion, and TNF&#x3b1; (<xref ref-type="bibr" rid="B79">Ramakrishnan et al., 2019</xref>; <xref ref-type="bibr" rid="B24">Habib et al., 2022</xref>). So far, asthma treatment is based on two streams. On the one hand, the use of bronchodilators to directly inhibit bronchoconstriction and take control of asthma attack resulting in relieving respective symptoms. On the other hand, anti-inflammatory drugs, e.g., corticosteroids, are applied to decrease chronic inflammation (<xref ref-type="bibr" rid="B18">Figueiredo et al., 2023</xref>). While the authors do not suggest that DCQAs, alone or within a plant-based extract, are useful to relief rapidly occurring asthma attacks, a co-medication with other anti-inflammatory drugs might be beneficial due to DCQAs ability to decrease inflammatory mediators playing a role within asthma, such as IL-17, IL-6, or TNF&#x3b1;.</p>
</sec>
<sec id="s5-5">
<title>5.5 Evaluation of a possible isomer-specific pharmacological activity</title>
<p>This review does not suggest a significant biological difference in the pharmacological activities of the different DCQA isoforms. Although it is known that monocaffeoylquinic isomers exhibit varying activities in sensitization following intravenous injection (<xref ref-type="bibr" rid="B54">Lin et al., 2012</xref>), this review specifically focuses on oral intake. <xref ref-type="bibr" rid="B115">Zhao et al. (2022)</xref> have demonstrated that DCQAs undergo extensive metabolism into up to 67 metabolites when administered orally to rats. Their research indicates that DCQAs are hydrolyzed into quinic and caffeic acids, which then undergo processes such as methylation, hydrogenation, hydration, dehydroxylation, sulfatation, and glucuronation. This metabolic pathway is hypothesized to be at least comparable across the different DCQA isoforms (<xref ref-type="bibr" rid="B115">Zhao et al., 2022</xref>). Consequently, the authors suggest no significant difference in pharmacological activity between DCQA isoforms after oral intake even if a metabolite is the cause for the pharmacological activity. However, as there are no clinical studies available to substantiate this suggestion, further research is required to confirm this hypothesis.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s6">
<title>6 Conclusion</title>
<p>Dicaffeoylquinic acids are constituents of various medicinal plants, such as <italic>Hedera helix</italic>, which are used to treat inflammatory diseases of the respiratory tract. Within the multi-constituent composition of plant-derived extracts, it is suggested that DCQAs play an important role in their respective pharmacological activities. This review examined the antioxidant potential of DCQAs both <italic>in vitro</italic> and <italic>in vivo</italic> with respect to their ability to scavenge free radicals and enhance cellular oxidative defense. Furthermore, it was shown that DCQAs are able to downregulate several important cytokines and inflammatory mediators relevant in acute and even chronic respiratory diseases. The anti-inflammatory activity was further strengthened by the ability to deactivate crucial pathways associated with inflammation, such as NF-&#x3ba;B. Finally, specific endpoints relevant to respiratory diseases were evaluated and revealed that DCQAs reduced symptoms of inflammation-associated respiratory diseases. Specifically, enhanced expectorant activity, reduction of cough, and antispasmodic properties were observed. Taken together, the data implies that DCQAs as constituents of medicinal plant extracts possibly contribute to their proven efficacy in the treatment of respiratory diseases. Further preclinical studies on the mechanism of action, possible influences on other signaling pathways, and identification of the actual pharmacological active substance&#x2013;DCQA or metabolite&#x2013;are necessary to fully understand the pharmacological profile and the therapeutic potential of DCQAs. In particular, more clinical studies of DCQA-containing extracts should be conducted to prove the importance of such phytopharmaceuticals in the treatment of respiratory diseases.</p>
</sec>
</body>
<back>
<sec id="s7">
<title>Author contributions</title>
<p>MH: Conceptualization, Investigation, Visualization, Writing&#x2013;original draft, Writing&#x2013;review and editing. AR: Writing&#x2013;original draft, Writing&#x2013;review and editing. AW: Writing&#x2013;original draft, Writing&#x2013;review and editing. HH: Conceptualization, Writing&#x2013;original draft, Writing&#x2013;review and editing, SF: Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>Authors MH, AR, and AW were employed by Engelhard Arzneimittel GmbH &#x26; Co. KG.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<sec id="s11">
<title>Glossary</title>
<table-wrap id="udT1" position="float">
<table>
<tbody valign="top">
<tr>
<td align="left">
<bold>ABTS</bold>
</td>
<td align="left">2,2&#x2032;-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)</td>
</tr>
<tr>
<td align="left">
<bold>AUC</bold>
<sub>
<bold>0-&#x221e;</bold>
</sub>
</td>
<td align="left">area under the concentration-time curve from zero to infinity</td>
</tr>
<tr>
<td align="left">
<bold>BALF</bold>
</td>
<td align="left">bronchoalveolar lavage fluid</td>
</tr>
<tr>
<td align="left">
<bold>BMDMs</bold>
</td>
<td align="left">bone marrow-derived macrophages</td>
</tr>
<tr>
<td align="left">
<bold>CAT</bold>
</td>
<td align="left">Catalase</td>
</tr>
<tr>
<td align="left">
<bold>c</bold>
<sub>
<bold>max</bold>
</sub>
</td>
<td align="left">maximum concentration</td>
</tr>
<tr>
<td align="left">
<bold>COPD</bold>
</td>
<td align="left">chronic obstructive pulmonary disease</td>
</tr>
<tr>
<td align="left">
<bold>DCF</bold>
</td>
<td align="left">Dichlorofluorescin</td>
</tr>
<tr>
<td align="left">
<bold>DCQA</bold>
</td>
<td align="left">dicaffeoylquinic acid</td>
</tr>
<tr>
<td align="left">
<bold>DPPH</bold>
</td>
<td align="left">2,2-diphenyl-1-picrylhydrazyl</td>
</tr>
<tr>
<td align="left">
<bold>ERK</bold>
</td>
<td align="left">extracellular singal-regulated kinases</td>
</tr>
<tr>
<td align="left">
<bold>f</bold>
</td>
<td align="left">Bioavailability</td>
</tr>
<tr>
<td align="left">
<bold>FRAP</bold>
</td>
<td align="left">ferric ion reducing antioxidant power</td>
</tr>
<tr>
<td align="left">
<bold>G6PD</bold>
</td>
<td align="left">glucose-6-phosphate dehydrogenase</td>
</tr>
<tr>
<td align="left">
<bold>GPX</bold>
</td>
<td align="left">glutathione peroxidase</td>
</tr>
<tr>
<td align="left">
<bold>GR</bold>
</td>
<td align="left">glutathione reductase</td>
</tr>
<tr>
<td align="left">
<bold>GSH</bold>
</td>
<td align="left">Glutathione</td>
</tr>
<tr>
<td align="left">
<bold>HO-1</bold>
</td>
<td align="left">heme oxygenase</td>
</tr>
<tr>
<td align="left">
<bold>iNOS</bold>
</td>
<td align="left">inducible nitric oxide synthase</td>
</tr>
<tr>
<td align="left">
<bold>JNK</bold>
</td>
<td align="left">c-Jun NH<sub>2</sub>-terminal kinases</td>
</tr>
<tr>
<td align="left">
<bold>LPS</bold>
</td>
<td align="left">Lipopolysaccharide</td>
</tr>
<tr>
<td align="left">
<bold>MAPK</bold>
</td>
<td align="left">mitogen-activated protein kinase</td>
</tr>
<tr>
<td align="left">
<bold>MDA</bold>
</td>
<td align="left">Malondialdehyde</td>
</tr>
<tr>
<td align="left">
<bold>NASH</bold>
</td>
<td align="left">non-alcoholic steatohepatitis</td>
</tr>
<tr>
<td align="left">
<bold>NLRP3</bold>
</td>
<td align="left">NLR family pyrin domain containing 3</td>
</tr>
<tr>
<td align="left">
<bold>NOS</bold>
</td>
<td align="left">nitric oxide synthase</td>
</tr>
<tr>
<td align="left">
<bold>PDE</bold>
</td>
<td align="left">Phosphodiesterase</td>
</tr>
<tr>
<td align="left">
<bold>PGE</bold>
<sub>
<bold>2</bold>
</sub>
</td>
<td align="left">prostaglandin E<sub>2</sub>
</td>
</tr>
<tr>
<td align="left">
<bold>PoD</bold>
</td>
<td align="left">point of departure</td>
</tr>
<tr>
<td align="left">
<bold>SOD</bold>
</td>
<td align="left">superperoxide dismutase</td>
</tr>
<tr>
<td align="left">
<bold>TBHP</bold>
</td>
<td align="left">tert-butylhydroperoxide</td>
</tr>
<tr>
<td align="left">
<bold>TRPV3</bold>
</td>
<td align="left">transient receptor potential cation channel, subfamily V, member 3</td>
</tr>
<tr>
<td align="left">
<bold>t</bold>
<sub>
<bold>max</bold>
</sub>
</td>
<td align="left">time to reach maximum concentration</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</back>
</article>