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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">1219980</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2023.1219980</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Derivatives of 9-phosphorylated acridine as butyrylcholinesterase inhibitors with antioxidant activity and the ability to inhibit &#x3b2;-amyloid self-aggregation: potential therapeutic agents for Alzheimer&#x2019;s disease</article-title>
<alt-title alt-title-type="left-running-head">Makhaeva 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.2023.1219980">10.3389/fphar.2023.1219980</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Makhaeva</surname>
<given-names>Galina F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2308841/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kovaleva</surname>
<given-names>Nadezhda V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2276792/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rudakova</surname>
<given-names>Elena V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Boltneva</surname>
<given-names>Natalia P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lushchekina</surname>
<given-names>Sofya V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/258384/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Astakhova</surname>
<given-names>Tatiana Yu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2277290/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Timokhina</surname>
<given-names>Elena N.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2278642/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Serebryakova</surname>
<given-names>Olga G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shchepochkin</surname>
<given-names>Alexander V.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2316583/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Averkov</surname>
<given-names>Maxim A.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2340739/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Utepova</surname>
<given-names>Irina A.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Demina</surname>
<given-names>Nadezhda S.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Radchenko</surname>
<given-names>Eugene V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1771997/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Palyulin</surname>
<given-names>Vladimir A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1071481/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fisenko</surname>
<given-names>Vladimir P.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bachurin</surname>
<given-names>Sergey O.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/745719/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chupakhin</surname>
<given-names>Oleg N.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Charushin</surname>
<given-names>Valery N.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Richardson</surname>
<given-names>Rudy J.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2307888/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Physiologically Active Compounds at Federal Research Center of Problems of Chemical Physics and Medicinal Chemistry</institution>, <institution>Russian Academy of Sciences</institution>, <addr-line>Chernogolovka</addr-line>, <country>Russia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Emanuel Institute of Biochemical Physics</institution>, <institution>Russian Academy of Sciences</institution>, <addr-line>Moscow</addr-line>, <country>Russia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Organic Synthesis</institution>, <institution>Russian Academy of Sciences</institution>, <addr-line>Yekaterinburg</addr-line>, <country>Russia</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Organic and Biomolecular Chemistry</institution>, <institution>Ural Federal University</institution>, <addr-line>Yekaterinburg</addr-line>, <country>Russia</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Chemistry</institution>, <institution>Lomonosov Moscow State University</institution>, <addr-line>Moscow</addr-line>, <country>Russia</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pharmacology of the Institute of Biodesign and Complex System Modeling of Biomedical Science &#x26; Technology Park of Sechenov I.M.</institution>, <institution>First Moscow State Medical University</institution>, <addr-line>Moscow</addr-line>, <country>Russia</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Environmental Health Sciences</institution>, <institution>University of Michigan</institution>, <addr-line>Ann Arbor</addr-line>, <addr-line>MI</addr-line>, <country>United States</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Neurology</institution>, <institution>University of Michigan</institution>, <addr-line>Ann Arbor</addr-line>, <addr-line>MI</addr-line>, <country>United States</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Center of Computational Medicine and Bioinformatics</institution>, <institution>University of Michigan</institution>, <addr-line>Ann Arbor</addr-line>, <addr-line>MI</addr-line>, <country>United States</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Michigan Institute for Computational Discovery and Engineering</institution>, <institution>University of Michigan</institution>, <addr-line>Ann Arbor</addr-line>, <addr-line>MI</addr-line>, <country>United States</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/236990/overview">Syed Nasir Abbas Bukhari</ext-link>, Jouf University, Saudi Arabia</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/2318489/overview">Jason Schwans</ext-link>, California State University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1766515/overview">Ehsan Ullah Mughal</ext-link>, University of Gujrat, Pakistan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1981090/overview">Suleyman Akocak</ext-link>, Adiyaman University, T&#xfc;rkiye</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Rudy J. Richardson, <email>rjrich@umich.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1219980</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Makhaeva, Kovaleva, Rudakova, Boltneva, Lushchekina, Astakhova, Timokhina, Serebryakova, Shchepochkin, Averkov, Utepova, Demina, Radchenko, Palyulin, Fisenko, Bachurin, Chupakhin, Charushin and Richardson.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Makhaeva, Kovaleva, Rudakova, Boltneva, Lushchekina, Astakhova, Timokhina, Serebryakova, Shchepochkin, Averkov, Utepova, Demina, Radchenko, Palyulin, Fisenko, Bachurin, Chupakhin, Charushin and Richardson</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>We investigated the inhibitory activities of novel 9-phosphoryl-9,10-dihydroacridines and 9-phosphorylacridines against acetylcholinesterase (AChE), butyrylcholinesterase (BChE), and carboxylesterase (CES). We also studied the abilities of the new compounds to interfere with the self-aggregation of &#x3b2;-amyloid (A&#x3b2;<sub>42</sub>) in the thioflavin test as well as their antioxidant activities in the ABTS and FRAP assays. We used molecular docking, molecular dynamics simulations, and quantum-chemical calculations to explain experimental results. All new compounds weakly inhibited AChE and off-target CES. Dihydroacridines with aryl substituents in the phosphoryl moiety inhibited BChE; the most active were the dibenzyloxy derivative <bold>1d</bold> and its diphenethyl bioisostere <bold>1e</bold> (IC<sub>50</sub> &#x3d; 2.90 &#xb1; 0.23&#xa0;&#xb5;M and 3.22 &#xb1; 0.25&#xa0;&#xb5;M, respectively). Only one acridine, <bold>2d</bold>, an analog of dihydroacridine, <bold>1d</bold>, was an effective BChE inhibitor (IC<sub>50</sub> &#x3d; 6.90 &#xb1; 0.55&#xa0;&#x3bc;M), consistent with docking results. Dihydroacridines inhibited A&#x3b2;<sub>42</sub> self-aggregation; <bold>1d</bold> and <bold>1e</bold> were the most active (58.9% &#xb1; 4.7% and 46.9% &#xb1; 4.2%, respectively). All dihydroacridines <bold>1</bold> demonstrated high ABTS<sup>&#x2022;&#x2b;</sup>-scavenging and iron-reducing activities comparable to Trolox, but acridines <bold>2</bold> were almost inactive. Observed features were well explained by quantum-chemical calculations. ADMET parameters calculated for all compounds predicted favorable intestinal absorption, good blood&#x2013;brain barrier permeability, and low cardiac toxicity. Overall, the best results were obtained for two dihydroacridine derivatives <bold>1d</bold> and <bold>1e</bold> with dibenzyloxy and diphenethyl substituents in the phosphoryl moiety. These compounds displayed high inhibition of BChE activity and A&#x3b2;<sub>42</sub> self-aggregation, high antioxidant activity, and favorable predicted ADMET profiles. Therefore, we consider <bold>1d</bold> and <bold>1e</bold> as lead compounds for further in-depth studies as potential anti-AD preparations.</p>
</abstract>
<kwd-group>
<kwd>9-phosphoryl-9,10-dihydroacridines</kwd>
<kwd>9-phosphorylacridines</kwd>
<kwd>acetylcholinesterase</kwd>
<kwd>butyrylcholinesterase</kwd>
<kwd>Alzheimer&#x2019;s disease</kwd>
</kwd-group>
<contract-sponsor id="cn001">Russian Science Foundation<named-content content-type="fundref-id">10.13039/501100006769</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Russian Foundation for Basic Research<named-content content-type="fundref-id">10.13039/501100002261</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Experimental Pharmacology and Drug Discovery</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>This paper represents a continuation of our ongoing program of drug discovery for neurodegenerative conditions, with a particular emphasis on Alzheimer&#x2019;s disease (AD). We have focused on AD for several reasons. For example, among the various types of age-related dementias, AD is the most prevalent. Moreover, AD is devastating for patients and their caregivers. It begins with memory loss, progresses to steady declines in cognitive function, and ultimately results in total disability and death (<xref ref-type="bibr" rid="B19">Calabro et al., 2021</xref>). Furthermore, there is no cure; treatment has been limited to partial alleviation of symptoms using the few drugs thus far approved by the FDA (<xref ref-type="bibr" rid="B46">Huang and Mucke, 2012</xref>; <xref ref-type="bibr" rid="B33">Cummings et al., 2019</xref>).</p>
<p>A major impediment to progress in drug discovery for AD is that the disease does not have a single cause; rather, it is multifactorial (<xref ref-type="bibr" rid="B20">Carreiras et al., 2013</xref>; <xref ref-type="bibr" rid="B6">Bachurin et al., 2017</xref>). Accordingly, our approach is to combine into single molecules the capabilities to inhibit several of the biological macromolecules or processes involved in the pathogenesis of the disease (<xref ref-type="bibr" rid="B76">Makhaeva et al., 2019c</xref>; <xref ref-type="bibr" rid="B5">Bachurin et al., 2023</xref>). In the present investigation, we have included the following targets: cholinergic neurotransmission, oxidative stress, and A&#x3b2; aggregation, as discussed in turn below.</p>
<p>One of the hallmarks of AD pathology is the demise of cholinergic neurons (<xref ref-type="bibr" rid="B7">Ballard et al., 2005</xref>; <xref ref-type="bibr" rid="B45">Hampel et al., 2019</xref>). Consequently, during the clinical course of the disease, the activity of acetylcholinesterase (AChE) decreases. In an apparent attempt to compensate for the loss of AChE activity, the activity of butyrylcholinesterase (BChE) increases (<xref ref-type="bibr" rid="B7">Ballard et al., 2005</xref>). Nevertheless, in the AD brain, there is an overall deficit of the neurotransmitter, acetylcholine (ACh). Therefore, inhibitors of one or both cholinesterases have been used to increase ACh concentrations in an effort to offset cognitive decline due to impaired cholinergic neurotransmission (<xref ref-type="bibr" rid="B59">Lane et al., 2006</xref>; <xref ref-type="bibr" rid="B66">Macdonald et al., 2014</xref>). Unfortunately, inhibition of cholinesterase activity on its own is insufficient to halt or retard the underlying neuropathic processes (<xref ref-type="bibr" rid="B82">Martinez and Castro, 2006</xref>; <xref ref-type="bibr" rid="B2">Agatonovic-Kustrin et al., 2018</xref>).</p>
<p>Among the mechanisms thought to contribute to AD pathogenesis is oxidative stress, which can lead to neuronal death by damaging the lipid and protein constituents of mitochondria, other organelles, and plasma membranes. This situation arises when the concentrations of reactive oxygen species (ROS) in susceptible sites reach critical levels due to their rates of production exceeding their rates of removal (<xref ref-type="bibr" rid="B90">Ortiz et al., 2017</xref>; <xref ref-type="bibr" rid="B94">Pohanka, 2018</xref>). Although antioxidant processes in the brain decrease with increasing age, these processes are further compromised in AD brain. Consequently, antioxidants are considered to be of adjunctive value in treating AD (<xref ref-type="bibr" rid="B84">Moreira et al., 2005</xref>). Indeed, antioxidant properties can be incorporated into drug candidates that contain pharmacophores directed against other targets, such as cholinesterases (<xref ref-type="bibr" rid="B104">Rosini et al., 2011</xref>; <xref ref-type="bibr" rid="B49">Ismaili and Romero, 2017</xref>; <xref ref-type="bibr" rid="B70">Makhaeva et al., 2020</xref>).</p>
<p>Accumulation of A&#x3b2; plaques is another process that has been amply linked to AD pathology (<xref ref-type="bibr" rid="B123">Walsh et al., 2005</xref>; <xref ref-type="bibr" rid="B21">Castellani et al., 2019</xref>; <xref ref-type="bibr" rid="B51">Jeremic et al., 2021</xref>). In view of this, under its new accelerated approval program, the FDA has recently approved two monoclonal antibody drugs that could potentially attenuate AD progression by clearing A&#x3b2; plaques from the brain (<xref ref-type="bibr" rid="B119">Vaz et al., 2022</xref>; <xref ref-type="bibr" rid="B117">van Dyck et al., 2023</xref>). However, these approvals have been controversial owing to concerns regarding safety and efficacy (<xref ref-type="bibr" rid="B103">Reardon, 2023</xref>). Another approach is to understand the mechanisms of formation of neurotoxic A&#x3b2; oligomers and to design compounds to intervene (<xref ref-type="bibr" rid="B51">Jeremic et al., 2021</xref>), which was the strategy we employed in our present investigation.</p>
<p>For the current work, we chose acridines as our core structures for building potential multifunctional agents. Our rationale included the fact that in drug discovery for neurodegenerative diseases, acridines are considered to be privileged scaffolds (<xref ref-type="bibr" rid="B16">Bongarzone and Bolognesi, 2011</xref>). Moreover, derivatives of acridine have proved to exert therapeutic effectiveness against such diverse illnesses as bacterial infections (<xref ref-type="bibr" rid="B122">Wainwright, 2001</xref>), malaria (<xref ref-type="bibr" rid="B43">Girault et al., 2000</xref>), trypanosomiasis and leishmaniasis (<xref ref-type="bibr" rid="B41">Gamage et al., 1997</xref>), viral infections (<xref ref-type="bibr" rid="B65">Lyakhov et al., 2000</xref>), cancer (<xref ref-type="bibr" rid="B35">Denny, 2002</xref>), inflammation and diabetes (<xref ref-type="bibr" rid="B110">Sondhi et al., 2010</xref>; <xref ref-type="bibr" rid="B80">Mallu et al., 2017</xref>) and prion diseases (<xref ref-type="bibr" rid="B55">Korth et al., 2001</xref>; <xref ref-type="bibr" rid="B53">Klingenstein et al., 2006</xref>; <xref ref-type="bibr" rid="B29">Collinge et al., 2009</xref>). They also serve as ideal points of departure for the generation of novel multitarget lead compounds and drug candidates for neurodegenerative and other conditions (<xref ref-type="bibr" rid="B32">Csuk et al., 2009</xref>; <xref ref-type="bibr" rid="B3">Antosova et al., 2011</xref>; <xref ref-type="bibr" rid="B16">Bongarzone and Bolognesi, 2011</xref>). Furthermore, it is well established that numerous compounds containing an acridine moiety display potent inhibitory activity toward AChE and BChE (<xref ref-type="bibr" rid="B56">Kozurkova et al., 2011</xref>; <xref ref-type="bibr" rid="B52">Jin, 2014</xref>). Tacrine, (9-amino-1,2,3,4-tetrahydroacridine), an especially well-known acridine-based cholinesterase inhibitor, was the first FDA-approved drug for the treatment of the cognitive symptoms of AD (<xref ref-type="bibr" rid="B31">Crismon, 1994</xref>). Along with tacrine, the acridine template has been employed for the design and development of new multifunctional molecules as potential therapeutic agents for AD (<xref ref-type="bibr" rid="B71">Makhaeva et al., 2017</xref>; <xref ref-type="bibr" rid="B108">Sharma and Piplani, 2017</xref>; <xref ref-type="bibr" rid="B25">Chufarova et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Lotfi et al., 2020</xref>; <xref ref-type="bibr" rid="B114">Tseng et al., 2020</xref>; <xref ref-type="bibr" rid="B67">Maciejewska et al., 2022</xref>).</p>
<p>In particular, in our previous work, we studied the esterase profile and estimated the antioxidant activity (AOA) of four groups of new 9-substituted acridine derivatives (<xref ref-type="bibr" rid="B71">Makhaeva et al., 2017</xref>). We demonstrated that 9-amino-<italic>N</italic>-methyl-9,10-dihydroacridine derivatives combined effective inhibition of AChE and BChE with a high level of radical-scavenging activity.</p>
<p>The aim of the present investigation was to study the possibility of creating multifunctional agents for AD therapy based on new 9-phosphoryl-9,10-dihydroacridines and 9-phosphorylacridines with various structures of the phosphoryl fragment, obtained using our original strategy of functionalization of acridines by nucleophilic aromatic substitution of hydrogen (S<sub>N</sub>
<sup>H</sup>) (<xref ref-type="bibr" rid="B27">Chupakhin et al., 1994</xref>; <xref ref-type="bibr" rid="B22">Charushin and Chupakhin, 2004</xref>; <xref ref-type="bibr" rid="B26">Chupakhin and Charushin, 2017</xref>). We were encouraged to pursue 9-phosphoryl derivatives by the observation that connecting acridine with a phosphorus moiety could enhance penetration of acridines through cell membranes (<xref ref-type="bibr" rid="B34">Demkowicz et al., 2016</xref>). In addition, recently studied <italic>N</italic>- and <italic>O</italic>-phosphorylated tacrines (<xref ref-type="bibr" rid="B95">Przybylowska et al., 2022</xref>) demonstrated high anti-AChE and anti-BChE activities, and some of them had reduced hepatotoxicity compared to tacrine.</p>
<p>In summary, we chose to investigate the effects of our new compounds on the components of AD pathogenesis outlined above: cholinergic neurotransmission, oxidative stress, and A&#x3b2; aggregation. Accordingly, we determined the following characteristics of the synthesized compounds: the esterase profile, i.e., the inhibitory activities against AChE, BChE, and a structurally related off-target carboxylesterase (CES, EC 3.1.1.1); inhibition of A&#x3b2; self-aggregation; and antioxidant activities in the ABTS and FRAP assays. We then analyzed the observed effects using quantum chemical calculations and computational molecular modeling. Finally, we carried out computational predictions of ADMET properties.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Synthesis of compounds</title>
<p>9-Phosphoryl-9,10-dihydroacridines <bold>1a&#x2013;f</bold> and 9-phosphorylacridines <bold>2a&#x2013;f</bold> were obtained according to <xref ref-type="fig" rid="F1">Figure 1</xref> as described in our recent publication (<xref ref-type="bibr" rid="B109">Shchepochkin et al., 2021</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Synthesis of 9-phosphoryl-9,10-dihydroacridines and 9-phosphorylacridines.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g001.tif"/>
</fig>
</sec>
<sec id="s2-2">
<title>2.2 Biological investigations</title>
<p>Experiments were performed in alignment with the standard operating procedures approved by IPA&#x421; RAS as described below.</p>
<sec id="s2-2-1">
<title>2.2.1 <italic>In vitro</italic> inhibition of AChE, BChE, and CES activities</title>
<p>Enzymes, substrates, and reference compounds were from Sigma-Aldrich (St. Louis, MO, United States). The activity of enzymes was measured spectrophotometrically, as described in detail in (<xref ref-type="bibr" rid="B71">Makhaeva et al., 2017</xref>) using ATCh iodide, BTCh iodide, and 4-NPA as substrates for AChE, BChE, and CES, respectively. Experimental conditions: K,Na-phosphate buffer (100&#xa0;mM), 25&#xb0;&#x421;, pH 7.5 for AChE and BChE and pH 8.0 for CES assay. Measurements were carried out on a BioRad Benchmark Plus microplate spectrophotometer (Hercules, CA, United States).</p>
<p>Test compounds were dissolved in DMSO; final concentration of solvent in the incubation mixture was 2% (v/v). Initial assessment of inhibitory activity was carried out by determining the degree of enzyme inhibition at a compound concentration of 20&#xa0;&#xb5;M. For the most active compounds (inhibition &#x2265;35%), IC<sub>50</sub> values were determined.</p>
<p>Mechanism of BChE inhibition was assessed by a detailed analysis of enzyme kinetics with three increasing concentrations of inhibitor and six substrate concentrations as described in detail in <xref ref-type="bibr" rid="B71">Makhaeva et al. (2017)</xref>.</p>
</sec>
<sec id="s2-2-2">
<title>2.2.2 Inhibition of &#x3b2;-amyloid (1-42) (A&#x3b2;<sub>42</sub>) self-aggregation</title>
<p>Inhibition of A&#x3b2;<sub>42</sub> self-aggregation by test compounds was studied using the thioflavin T (ThT) fluorescence method (<xref ref-type="bibr" rid="B60">LeVine, 1999</xref>; <xref ref-type="bibr" rid="B8">Bartolini et al., 2003</xref>; <xref ref-type="bibr" rid="B87">Munoz-Ruiz et al., 2005</xref>) with minor modifications as described in detail in (<xref ref-type="bibr" rid="B69">Makhaeva et al., 2023</xref>). Lyophilized HFIP-pretreated A&#x3b2;<sub>42</sub> (AnaSpec Inc., 0.5&#xa0;mg) was dissolved in DMSO to obtain a stable 500&#xa0;&#x3bc;M solution. The samples of 50&#xa0;&#x3bc;M&#xa0;A&#x3b2;<sub>42</sub> in 215&#xa0;mM Na-phosphate buffer pH 8.0 were incubated for 24&#xa0;h at 37&#xb0;C in the absence or presence of 100&#xa0;&#xb5;M test compounds. Myricetin and Propidium iodide in the same concentration were used as references. After incubation, 5&#xa0;&#x3bc;M ThT in 50&#xa0;mM glycine-NaOH buffer pH 8.5 was added, and the fluorescence was measured at 440&#xa0;nm (exc.) and 485&#xa0;nm (emis.) with a FLUOStar Optima microplate reader (LabTech, Ortenberg, Germany). Blanks consisted of 215&#xa0;mM Na-phosphate buffer, pH 8.0, 20% (v/v) DMSO or test compounds, respectively.</p>
<p>The inhibition (%) of A&#x3b2;<sub>42</sub> self-aggregation by the test compounds was calculated using the following equation:<disp-formula id="equ1">
<mml:math id="m1">
<mml:mrow>
<mml:mo>%</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="normal">i</mml:mi>
<mml:mi mathvariant="normal">n</mml:mi>
<mml:mi mathvariant="normal">h</mml:mi>
<mml:mi mathvariant="normal">i</mml:mi>
<mml:mi mathvariant="normal">b</mml:mi>
<mml:mi mathvariant="normal">i</mml:mi>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mi mathvariant="normal">i</mml:mi>
<mml:mi mathvariant="normal">o</mml:mi>
<mml:mi mathvariant="normal">n</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#x2013;</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">I</mml:mi>
<mml:mi mathvariant="normal">F</mml:mi>
</mml:mrow>
<mml:mi mathvariant="normal">i</mml:mi>
</mml:msub>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>/</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">I</mml:mi>
<mml:mi mathvariant="normal">F</mml:mi>
</mml:mrow>
<mml:mi mathvariant="normal">o</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>where IF<sub>i</sub> and IF<sub>o</sub> are the fluorescence intensities obtained for A&#x3b2;<sub>42</sub> in the presence or absence of inhibitor, respectively, after subtracting the fluorescence of respective blanks.</p>
</sec>
<sec id="s2-2-3">
<title>2.2.3 Antioxidant activity (AOA)</title>
<sec id="s2-2-3-1">
<title>2.2.3.1 ABTS radical cation scavenging activity assay</title>
<p>Radical scavenging activity of the compounds was evaluated using the ABTS radical cation (2,2&#x2b9;-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid), ABTS<sup>&#x2022;&#x2b;</sup>) decolorization assay (<xref ref-type="bibr" rid="B102">Re et al., 1999</xref>), with minor modifications described in detail in <xref ref-type="bibr" rid="B68">Makhaeva et al. (2019a)</xref>. To prepare the solution of ABTS<sup>&#x2022;&#x2b;</sup>, equal volumes of aqueous solutions of 7&#xa0;mM ABTS and 2.45&#xa0;mM potassium persulfate were incubated for 12&#x2013;16&#xa0;h at room temperature in the dark. Radical scavenging capacity of the compounds was determined by mixing 10&#xa0;&#x3bc;L of compound solution in DMSO with 240&#xa0;&#x3bc;L of ABTS<sup>&#x2022;&#x2b;</sup> working solution in ethanol (100&#xa0;&#x3bc;M final concentration). The reduction in ABTS<sup>&#x2022;&#x2b;</sup> absorbance was measured spectrophotometrically at 734&#xa0;nm using a xMark UV/VIS microplate spectrophotometer (Bio-Rad, Hercules, CA, United States) for 1&#xa0;h with an interval of 10&#xa0;min compared to a standard synthetic antioxidant Trolox (6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid). Ascorbic acid was used as a positive control.</p>
<p>The antioxidant activity of the compounds was reported as Trolox equivalent antioxidant capacity (TEAC values) as the ratio of the slopes of the concentration&#x2212;response curves, test compound/Trolox. The IC<sub>50</sub> values for the test compounds were also determined.</p>
</sec>
<sec id="s2-2-3-2">
<title>2.2.3.2 FRAP assay</title>
<p>The ferric reducing antioxidant power (FRAP) assay proposed by <xref ref-type="bibr" rid="B11">Benzie and Strain (1996)</xref>; <xref ref-type="bibr" rid="B10">Benzie and Strain (1999)</xref> modified to be performed in 96-well microplates as described in detail in <xref ref-type="bibr" rid="B70">Makhaeva et al. (2020)</xref> was used. 10&#xa0;&#x3bc;L (0.5&#xa0;mM) of the tested or reference compounds were mixed with 240&#xa0;&#xb5;L of FRAP reagent (2.5&#xa0;mL of 10&#xa0;mM TPTZ (2,4,6-tris(2-pyridyl)-s-triazine) solution in 40&#xa0;mM HCl, 2.5&#xa0;mL of 20&#xa0;mM FeCl<sub>3</sub> in distilled water and 25&#xa0;mL of 0.3&#xa0;M acetate buffer pH 3.6); the absorbance of the mixture was measured spectrophotometrically (&#x3bb; &#x3d; 593&#xa0;nm) with a FLUOStar OPTIMA microplate reader at 600&#xa0;nm after a 1&#xa0;h incubation at 37&#xb0;C against a blank. Trolox was used as a reference compound. The results were expressed as Trolox equivalents (TE)&#x2014;the ratio of the concentrations of Trolox and the test compound resulting in the same effect on ferric reducing activity.</p>
</sec>
</sec>
</sec>
<sec id="s2-3">
<title>2.3 Statistical analyses</title>
<p>Plots, linear regressions, and IC<sub>50</sub> values were determined using Origin 6.1 for Windows, OriginLab (Northampton, MA, United States). All tests were performed at least in triplicate in three independent experiments. Results are presented as mean &#xb1; SEM calculated using GraphPad Prism version 6.05 for Windows (San Diego CA, United States).</p>
</sec>
<sec id="s2-4">
<title>2.4 Molecular modeling studies</title>
<sec id="s2-4-1">
<title>2.4.1 Molecular docking</title>
<p>The Calculator Plugins of MarvinSketch 21.14.0, ChemAxon (<ext-link ext-link-type="uri" xlink:href="https://www.chemaxon.com">https://www.chemaxon.com</ext-link>, accessed on 27 January 2023) and MolGpKa (<xref ref-type="bibr" rid="B91">Pan et al., 2021</xref>) (<ext-link ext-link-type="uri" xlink:href="https://xundrug.cn/molgpka">https://xundrug.cn/molgpka</ext-link>, accessed on 27 January 2023) were used to estimate the p<italic>K</italic>
<sub>a</sub> values of the ligands. Because the p<italic>K</italic>
<sub>a</sub> values of the acridine fragments for all considered compounds were estimated to be below 5, all conjugates were utilized for molecular docking in their neutral form. The ligand compounds were optimized using a DFT quantum chemistry method (B3LYP/6-31G&#x2a;, GAMESS-US (<xref ref-type="bibr" rid="B107">Schmidt et al., 1993</xref>) software). For molecular docking, the optimized structures of the ligands were employed, with partial atomic charges obtained from QM results based on the L&#xf6;wdin scheme (<xref ref-type="bibr" rid="B63">L&#xf6;wdin, 1970</xref>).</p>
<p>The protein targets used for docking included X-ray structures of human AChE co-crystallized with donepezil (PDB: 4EY7, chain A) (<xref ref-type="bibr" rid="B24">Cheung et al., 2012</xref>), an optimized X-ray structure of human BChE (PDB: 1P0I) (<xref ref-type="bibr" rid="B89">Nicolet et al., 2003</xref>; <xref ref-type="bibr" rid="B83">Masson et al., 2013</xref>), and all conformers of the A&#x3b2;<sub>42</sub> solution NMR structure (PDB ID 1IYT) (<xref ref-type="bibr" rid="B30">Crescenzi et al., 2002</xref>).</p>
<p>AutoDock 4.2.6 software (<xref ref-type="bibr" rid="B86">Morris et al., 2009</xref>) was utilized to perform molecular docking. The docking grid box was set to cover the entire active site gorge of AChE (22.5&#xa0;&#xc5; &#xd7; 22.5&#xa0;&#xc5; &#xd7; 22.5&#xa0;&#xc5;) and BChE (15&#xa0;&#xc5; &#xd7; 20.25&#xa0;&#xc5; &#xd7; 18&#xa0;&#xc5;), as well as the entire A&#x3b2;42 molecule for all conformers (43.5&#xa0;&#xc5; &#xd7; 28.5&#xa0;&#xc5; &#xd7; 54.75&#xa0;&#xc5;), with a grid spacing of 0.375&#xa0;&#xc5; used in all cases. The Lamarckian Genetic Algorithm (LGA) (<xref ref-type="bibr" rid="B85">Morris et al., 1998</xref>) was used with 256 runs, 25 &#xd7; 10<sup>6</sup> evaluations, 27 &#xd7; 10<sup>4</sup> generations, and a population size of 3,000. Figures were created using PyMol (<ext-link ext-link-type="uri" xlink:href="http://www.pymol.org">www.pymol.org</ext-link>, accessed on 21 July 2016).</p>
</sec>
<sec id="s2-4-2">
<title>2.4.2 Molecular dynamics simulations</title>
<p>For molecular dynamics (MD) simulations, an initial complex of BChE with the most active compound <bold>1d</bold> was taken from molecular docking results. Crystallographic waters found in the initial protein X-ray structure were added, except for ones overlapping with the inhibitor molecule. TIP3P water molecules were added, forming a box with boundaries extending 10&#xa0;&#xc5; beyond the protein using the VMD <italic>solvate</italic> module. Na<sup>&#x2b;</sup> and Cl<sup>&#x2212;</sup> ions were added up to 150&#xa0;mM ion concentration, and the neutral state of the whole system was achieved using the VMD <italic>autoionize</italic> module. Force field parameters of the ligand were derived with the CharmGenFF program v. 2.5 (<xref ref-type="bibr" rid="B118">Vanommeslaeghe et al., 2010</xref>).</p>
<p>MD simulation was performed with NAMD 3.0b2 software (<xref ref-type="bibr" rid="B93">Phillips et al., 2020</xref>) using the CHARMM36 force field (<xref ref-type="bibr" rid="B118">Vanommeslaeghe et al., 2010</xref>). During MD simulation, the system was maintained at constant temperature (298&#xa0;K) and pressure (1&#xa0;atm, NPT ensemble), using Langevin dynamics and the Nos&#xe9;-Hoover barostat; the timestep was 1 fs. Periodic boundary conditions and PME electrostatics were applied. Before the productive MD run, a system minimization was conducted during 3,000 steps; next, a 1 ns solvent equilibration run was carried out with the protein and ligand coordinates fixed, and then the structure was fully minimized during 3,000 steps. After that, a 50 ns production run was performed. Analysis of the obtained MD trajectory was done with the VMD 1.9.4a53 package (<xref ref-type="bibr" rid="B47">Humphrey et al., 1996</xref>). Molecular modeling figures were prepared with PyMOL.</p>
</sec>
<sec id="s2-4-3">
<title>2.4.3 Quantum-chemical analysis of AOA</title>
<p>Quantum-chemical calculations were performed with the Gaussian 16 (<xref ref-type="bibr" rid="B40">Frisch et al., 2016</xref>) and Priroda 19 (<xref ref-type="bibr" rid="B58">Laikov and Ustynyuk, 2005</xref>; <xref ref-type="bibr" rid="B57">Laikov, 2020</xref>) packages. At the initial stage, the conformational analysis was done in the PBE0 functional (<xref ref-type="bibr" rid="B1">Adamo and Barone, 1999</xref>) and TZVP basis set (<xref ref-type="bibr" rid="B106">Sch&#xe4;fer et al., 1994</xref>) in the gas phase by the Priroda software. The obtained conformations were optimized using the long-range-corrected functional CAM-B3LYP (<xref ref-type="bibr" rid="B125">Yanai et al., 2004</xref>) in the 6-31&#x2b;&#x2b;G (d,p) basis set (<xref ref-type="bibr" rid="B100">Rassolov et al., 2001</xref>) by the Gaussian program. The energies were refined by single-point calculations in the aug-cc-pVTZ basis set (<xref ref-type="bibr" rid="B92">Papajak et al., 2011</xref>). Solvent effects were taken into account by applying the Solvation Model based on density (SMD) (<xref ref-type="bibr" rid="B81">Marenich et al., 2009</xref>). Six compounds were investigated; namely, three dihydroacridines (<bold>1a, 1c, 1e</bold>) and three acridines (<bold>2a, 2c, 2e</bold>).</p>
</sec>
<sec id="s2-4-4">
<title>2.4.4 Prediction of ADMET, physicochemical, and PAINS profiles</title>
<p>Lipophilicity (LogP<sub>ow</sub>) and aqueous solubility (pS) were estimated by the ALogPS 3.0 neural network model implemented in the OCHEM platform (<xref ref-type="bibr" rid="B112">Sushko et al., 2011</xref>). Human intestinal absorption (HIA) (<xref ref-type="bibr" rid="B98">Radchenko et al., 2016</xref>), blood&#x2013;brain barrier distribution/permeability (LogBB) (<xref ref-type="bibr" rid="B36">Dyabina et al., 2016</xref>; <xref ref-type="bibr" rid="B97">Radchenko et al., 2020</xref>), and hERG-mediated cardiac toxicity risk (channel affinity p<italic>K</italic>
<sub>
<italic>i</italic>
</sub> and inhibitory activity pIC<sub>50</sub>) (<xref ref-type="bibr" rid="B99">Radchenko et al., 2017</xref>) were estimated using the integrated online service for the prediction of ADMET properties. This service implements predictive QSAR models based on accurate and representative training sets, fragmental descriptors, and artificial neural networks. The quantitative estimate of drug-likeness (QED) values (<xref ref-type="bibr" rid="B15">Bickerton et al., 2012</xref>) were calculated, and the Pan Assay INterference compoundS (PAINS) alerts were checked using RDKit version 2021.09.2 software.</p>
</sec>
</sec>
</sec>
<sec sec-type="results|discussion" id="s3">
<title>3 Results and discussion</title>
<sec id="s3-1">
<title>3.1 Chemistry. Synthesis of 9-substituted acridines</title>
<p>Currently, 9-substituted acridines can be obtained by several approaches. The classical method for the preparation of acridine derivatives is based on high-temperature condensation of diphenylamine and carboxylic acid in the presence of zinc chloride (<xref ref-type="bibr" rid="B13">Bernthsen, 1884</xref>) (Pathway A, <xref ref-type="fig" rid="F2">Figure 2</xref>). Another method consists of preliminary functionalization of acridine and subsequent substitution of the introduced group by a nucleophile in the presence of transition-metal salts (<xref ref-type="bibr" rid="B61">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="B126">Zhilyaev et al., 2022</xref>) (Pathway B, <xref ref-type="fig" rid="F2">Figure 2</xref>). The presented strategies do not exclude a number of shortcomings. For example, the desire to introduce auxiliary groups, the use of catalysts and additional ligands, the employment of high temperature processes, and the need to separate reaction products from metal-containing byproducts complicate the preparation of target acridines. In addition, such accompanying negative factors as the high cost of the reaction process and, in some cases, low yields of the final products make the method inefficient and unprofitable. However, an alternative approach to functionalized acridines is nucleophilic aromatic substitution of hydrogen (S<sub>N</sub>
<sup>H</sup>) (<xref ref-type="bibr" rid="B27">Chupakhin et al., 1994</xref>; <xref ref-type="bibr" rid="B23">Charushin and Chupakhin, 2005</xref>; <xref ref-type="bibr" rid="B77">Makosza, 2010</xref>; <xref ref-type="bibr" rid="B78">M&#x105;kosza, 2011</xref>; <xref ref-type="bibr" rid="B79">M&#x105;kosza and Wojciechowski, 2014</xref>). This method makes it possible to obtain 9-substituted acridines efficiently and directly, avoiding the disadvantages mentioned above.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Methods for the preparation of 9-substituted acridines.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g002.tif"/>
</fig>
<p>The S<sub>N</sub>
<sup>H</sup> reactions proceed in two stages. The first one is nucleophilic addition to an aromatic substrate to form an intermediate (&#x3ed;<sup>H</sup>-adduct). The &#x3ed;<sup>H</sup>-adducts, <italic>e.g.</italic>, in the case of acridine, are stable compounds, which makes it possible to comprehensively study their physicochemical properties and biological activities (<xref ref-type="bibr" rid="B28">Chupakhin et al., 2017</xref>; <xref ref-type="bibr" rid="B121">Volkov et al., 2018</xref>). The second stage is characterized by an oxidative process with formation of the target-functionalized acridine (Pathway C, <xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<p>We used the S<sub>N</sub>
<sup>H</sup> approach described in detail in a recent publication (<xref ref-type="bibr" rid="B109">Shchepochkin et al., 2021</xref>) to obtain the 9-phosphoryl-9,10-dihydroacridines <bold>1a&#x2013;f</bold> and 9-phosphorylacridines <bold>2a&#x2013;f</bold> studied in this work (<xref ref-type="fig" rid="F1">Figure 1</xref>). Briefly, acridine and the corresponding phosphonate were stirred without solvent under an argon atmosphere at 75&#xb0;C&#x2013;80&#xb0;C for 2&#x2013;7&#xa0;h. 9-Phosphoryl-9,10-dihydroacridines <bold>1a-f</bold> were isolated in 85%&#x2013;95% yields. The corresponding aromatized compounds <bold>2a-f</bold> were obtained in 81%&#x2013;89% yields by electrochemical oxidation of <bold>1a&#x2013;f</bold>.</p>
<p>
<xref ref-type="fig" rid="F3">Figure 3</xref> illustrates the structures of the previously described compounds, which were the subject of the research in the present work.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Structures of the studied acridine derivatives: 9-phosphoryl-9,10-dihydroacridines <bold>1a&#x2013;f</bold> and 9-phosphorylacridines <bold>2a&#x2013;f</bold>.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g003.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Inhibition studies of AChE, BChE and CES. Structure-activity relationships</title>
<p>
<xref ref-type="table" rid="T1">Table 1</xref> lists the components of the esterase profile of our compounds, i.e., their inhibitory potencies against the enzymes of cholinergic neurotransmission, AChE and BChE, and a structurally related off-target enzyme, CES (<xref ref-type="bibr" rid="B75">Makhaeva et al., 2016</xref>; <xref ref-type="bibr" rid="B74">Makhaeva et al., 2019b</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Esterase profiles of the compounds and their inhibition of A&#x3b2;<sub>42</sub> self-aggregation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Compound</th>
<th rowspan="2" align="left">Phosphoryl substituent</th>
<th colspan="3" align="left">Inhibitory activity against AChE, BChE and CES</th>
<th rowspan="2" align="left">Inhibition of A&#x3b2;<sub>42</sub> self- aggregation, (%)<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>
</th>
</tr>
<tr>
<th align="left">Human erythrocyte AChE, (%)<xref ref-type="table-fn" rid="Tfn1">
<sup>b</sup>
</xref>
</th>
<th align="left">Equine serum BChE, (%)<xref ref-type="table-fn" rid="Tfn1">
<sup>b</sup>
</xref> or IC<sub>50</sub> (&#xb5;M)<xref ref-type="table-fn" rid="Tfn2">
<sup>c</sup>
</xref>
</th>
<th align="left">Porcine liver CES, (%)<xref ref-type="table-fn" rid="Tfn1">
<sup>b</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="center">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx1.tif"/>9-phosphoryl-9,10-dihydroacridines</td>
</tr>
<tr>
<td align="left">1a</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx2.tif"/>
</td>
<td align="left">5.3 &#xb1; 1.3</td>
<td align="left">21.3 &#xb1; 1.7</td>
<td align="left">n.&#x430;</td>
<td align="left">4.9 &#xb1; 0.4</td>
</tr>
<tr>
<td align="left">1b</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx3.tif"/>
</td>
<td align="left">4.4 &#xb1; 1.1</td>
<td align="left">16.9 &#xb1; 1.5</td>
<td align="left">n.&#x430;</td>
<td align="left">8.1 &#xb1; 0.8</td>
</tr>
<tr>
<td align="left">1c</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx4.tif"/>
</td>
<td align="left">6.3 &#xb1; 0.9</td>
<td align="left">48.0 &#xb1; 3.1&#xa0;&#x3bc;M</td>
<td align="left">21.6 &#xb1; 1.7</td>
<td align="left">19.8 &#xb1; 1.5</td>
</tr>
<tr>
<td align="left">1d</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx5.tif"/>
</td>
<td align="left">7.6 &#xb1; 1.2</td>
<td align="left">
<bold>2.90 &#xb1; 0.23</bold>&#xa0;&#x3bc;M</td>
<td align="left">18.7 &#xb1; 1.4</td>
<td align="left">58.9 &#xb1; 4.7</td>
</tr>
<tr>
<td align="left">1e</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx6.tif"/>
</td>
<td align="left">8.8 &#xb1; 2.0</td>
<td align="left">
<bold>3.22 &#xb1; 0.25</bold>&#xa0;&#x3bc;M</td>
<td align="left">22.2 &#xb1; 1.7</td>
<td align="left">46.9 &#xb1; 4.2</td>
</tr>
<tr>
<td align="left">1f</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx7.tif"/>
</td>
<td align="left">6.4 &#xb1; 1.0</td>
<td align="left">21.7 &#xb1; 1.7&#xa0;&#x3bc;M</td>
<td align="left">11.4 &#xb1; 1.4</td>
<td align="left">34.1 &#xb1; 2.7</td>
</tr>
<tr>
<td colspan="6" align="center">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx8.tif"/>9-phosphorylacridines</td>
</tr>
<tr>
<td align="left">2a</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx9.tif"/>
</td>
<td align="left">9.1 &#xb1; 1.2</td>
<td align="left">9.0 &#xb1; 1.4</td>
<td align="left">4.3 &#xb1; 1.1</td>
<td align="left">4.9 &#xb1; 0.4</td>
</tr>
<tr>
<td align="left">2b</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx10.tif"/>
</td>
<td align="left">10.4 &#xb1; 1.2</td>
<td align="left">10.8 &#xb1; 1.5</td>
<td align="left">10.5 &#xb1; 1.3</td>
<td align="left">n.&#x430;</td>
</tr>
<tr>
<td align="left">2c</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx11.tif"/>
</td>
<td align="left">12.4 &#xb1; 1.4</td>
<td align="left">32.7 &#xb1; 2.6</td>
<td align="left">27.6 &#xb1; 2.2</td>
<td align="left">3.6 &#xb1; 0.3</td>
</tr>
<tr>
<td align="left">2d</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx12.tif"/>
</td>
<td align="left">10.8 &#xb1; 1.5</td>
<td align="left">
<bold>6.90 &#xb1; 0.55</bold>&#xa0;&#x3bc;M</td>
<td align="left">20.4 &#xb1; 1.8</td>
<td align="left">n.&#x430;</td>
</tr>
<tr>
<td align="left">2e</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx13.tif"/>
</td>
<td align="left">10.4 &#xb1; 1.3</td>
<td align="left">25.7 &#xb1; 2.0</td>
<td align="left">13.5 &#xb1; 1.7</td>
<td align="left">n.&#x430;</td>
</tr>
<tr>
<td align="left">2f</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx14.tif"/>
</td>
<td align="left">15.2 &#xb1; 1.3</td>
<td align="left">20.4 &#xb1; 1.6</td>
<td align="left">18.4 &#xb1; 1.4</td>
<td align="left">11.2 &#xb1; 0.8</td>
</tr>
<tr>
<td colspan="2" align="left">Tacrine</td>
<td align="left">96.2 &#xb1; 0.2<xref ref-type="table-fn" rid="Tfn3">
<sup>d</sup>
</xref>
</td>
<td align="left">0.030 &#xb1; 0.002&#xa0;&#x3bc;M</td>
<td align="left">n.a</td>
<td align="left">5.9 &#xb1; 0.5</td>
</tr>
<tr>
<td colspan="2" align="left">BNPP</td>
<td align="left">n.a</td>
<td align="left">n.a</td>
<td align="left">99.1 &#xb1; 0.93<xref ref-type="table-fn" rid="Tfn4">
<sup>e</sup>
</xref>
</td>
<td align="left">n.d</td>
</tr>
<tr>
<td colspan="2" align="left">Myricetin</td>
<td align="left">n.d</td>
<td align="left">n.d</td>
<td align="left">n.d</td>
<td align="left">74.7 &#xb1; 5.2</td>
</tr>
<tr>
<td colspan="2" align="left">Propidium iodide</td>
<td align="left">n.d</td>
<td align="left">n.d</td>
<td align="left">n.d</td>
<td align="left">90.7 &#xb1; 7.1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>b</sup>
</label>
<p>Compound concentration 20&#xa0;&#xb5;M.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>c</sup>
</label>
<p>Values without units of measurement for BChE inhibition correspond to % inhibition at 20&#xa0;&#xb5;M. For active compounds, BChE inhibition is presented as IC<sub>50</sub> &#xb1; SEM &#x3bc;M, <italic>n</italic> &#x3d; 3.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>d</sup>
</label>
<p>Tacrine IC<sub>50</sub> AChE &#x3d; 0.601 &#xb1; 0.047&#xa0;&#xb5;M.</p>
</fn>
<fn id="Tfn4">
<label>
<sup>e</sup>
</label>
<p>BNPP IC<sub>50</sub> CES &#x003D; 1.80 &#x00B1; 0.11 &#xb5;M.</p>
</fn>
<fn id="Tfn5">
<label>
<sup>a</sup>
</label>
<p>Inhibition of A&#x3b2;<sub>42</sub> self-aggregation (50&#xa0;&#xb5;M) by the tested compound at 100&#xa0;&#xb5;M concentration. n. d.&#x2014;not determined. n. a.&#x2014;not active. Data are expressed as mean &#xb1; SEM, <italic>n</italic> &#x3d; 3. IC<sub>50</sub> BChE values for the most active compounds are shown in boldface font.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As can be seen from <xref ref-type="table" rid="T1">Table 1</xref>, all tested compounds weakly inhibited AChE, while a number of compounds demonstrated effective inhibition of BChE.</p>
<p>The most effective BChE inhibitors were found among the series of phosphorylated dihydroacridines. Moreover, the influence of the structure of the phosphorus-containing fragment on the inhibitory activity is clearly seen: dialkylphosphonates weakly inhibited BChE, but the introduction of aryl fragments increased the activity. Thus, diphenylphosphonate <bold>1c</bold> was a moderate inhibitor (IC<sub>50</sub> &#x3d; 48.0 &#xb1; 3.1&#xa0;&#xb5;M), while dibenzyloxy derivative <bold>1d</bold> and its diphenethyl bioisostere <bold>1e</bold> were effective inhibitors of BChE with IC<sub>50</sub> &#x3d; 2.90 &#xb1; 0.23&#xa0;&#xb5;M and 3.22 &#xb1; 0.25&#xa0;&#xb5;M, respectively. The introduction of a chlorine atom into the <italic>para</italic>-position of the phenethyl fragment of <bold>1e</bold> (compound <bold>1f</bold>) reduced tenfold the anti-BChE activity (IC<sub>50</sub> &#x3d; 21.7 &#xb1; 1.7&#xa0;&#xb5;M).</p>
<p>At the same time, aromatized analogs <bold>2</bold> of compounds <bold>1</bold> were largely inactive as BChE inhibitors. An exception was the acridine analog of the most effective dihydroacridine <bold>1d</bold>&#x2013;dibenzyloxy derivative <bold>2d</bold>, which inhibited BChE with IC<sub>50</sub> &#x3d; 6.90 &#xb1; 0.55&#xa0;&#xb5;M, <italic>i.e.</italic>, it was only 2.4 times less effective than the corresponding dihydroacridine.</p>
<p>Weak inhibition of CES, an enzyme that catalyzes the hydrolysis of numerous ester-containing drugs, is a positive property of the studied compounds because this decreases the likelihood of unwanted drug-drug interactions in the event of their use in AD therapy (<xref ref-type="bibr" rid="B115">Tsurkan et al., 2013</xref>; <xref ref-type="bibr" rid="B74">Makhaeva et al., 2019b</xref>).</p>
</sec>
<sec id="s3-3">
<title>3.3 Kinetic studies of BChE inhibition</title>
<p>The most active BChE inhibitor <bold>1d</bold> was selected for inhibition kinetics studies. Lineweaver-Burk plots-double reciprocal representations of Michaelis-Menten parameters-were used to assess the type of inhibition. Graphical analysis of the kinetic data on BChE inhibition by the tested compound (<xref ref-type="fig" rid="F4">Figure 4</xref>) demonstrates changes in both <italic>K</italic>
<sub>m</sub> and <italic>V</italic>
<sub>max</sub> values; this result attests to a mixed type of inhibition. The values obtained for the competitive component (<italic>K</italic>
<sub>i</sub>) and the non-competitive component (&#x3b1;<italic>K</italic>
<sub>i</sub>) of the constants of BChE inhibition by compound <bold>1d</bold> were 2.22 &#xb1; 0.19&#xa0;&#xb5;M and 11.5 &#xb1; 0.9&#xa0;&#xb5;M, respectively.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Double-reciprocal (Lineweaver-Burk) plots of the steady state inhibition of BChE by compound <bold>1d</bold>.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g004.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Molecular docking to AChE and BChE</title>
<p>To investigate the structural origins of the observed differences in inhibitory activity, we performed molecular docking to AChE and BChE for the most active dihydroacridine derivatives, namely, the bioisosteric compounds <bold>1d</bold> and <bold>1e</bold> and their aromatized analogs <bold>2d</bold> and <bold>2e.</bold>
</p>
<p>According to the results of molecular docking, compounds with benzyloxy and phenethyl substituents <bold>1d</bold>,<bold>e</bold>, and <bold>2d</bold>,<bold>e</bold> were able to bind to the AChE active site gorge in a similar manner (<xref ref-type="fig" rid="F5">Figure 5</xref>). However, in this case, the bulky dihydroacridine/acridine and benzyloxy/phenethyl groups were located below amino acid residues Tyr341 and Tyr124, which are the part of a narrow bottleneck (<xref ref-type="bibr" rid="B113">Sussman et al., 1991</xref>; <xref ref-type="bibr" rid="B124">Wlodek et al., 1997</xref>). This makes trafficking of the ligands to the bottom of the gorge kinetically hindered (<xref ref-type="bibr" rid="B64">Lushchekina and Masson, 2020</xref>), thus reducing their inhibitory efficacy.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Binding modes of compounds <bold>1d,e</bold> (carbon atoms colored green/magenta, respectively) and <bold>2d</bold>,<bold>e</bold> (carbon atoms colored with lighter shades of the same colors) in the active site gorge of human AChE (PDB: 4EY7), according to molecular docking results. Yellow dashes show direct hydrogen bonding interactions. Orange dashes show the hypothetical possibility of water molecule-mediated interactions.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g005.tif"/>
</fig>
<p>With respect to BChE docking (<xref ref-type="fig" rid="F6">Figure 6</xref>), a significant difference of binding to the enzyme active site at the bottom of the gorge was observed between dihydroacridine/acridine compounds <bold>1d</bold>,<bold>e</bold> and <bold>2d</bold>,<bold>e</bold> with benzyloxy/phenethyl substituents. Due to the wider active site gorge of BChE compared to AChE (<xref ref-type="bibr" rid="B105">Saxena et al., 1997</xref>), no kinetic difficulties of such binding were expected.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Binding mode of compounds <bold>1d</bold>,<bold>e</bold> (carbon atoms colored green or magenta, respectively) <bold>(A)</bold>, and <bold>2d</bold>,<bold>e</bold> (carbon atoms colored with lighter shades of the same colors) <bold>(B)</bold> in the active site gorge of human BChE (PDB: 1P0I), according to molecular docking results. Yellow dashes show direct hydrogen bonding interactions. Orange dashes show the hypothetical possibility of water molecule-mediated interactions.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g006.tif"/>
</fig>
<p>According to the docking results, the dihydroacridine derivatives <bold>1d</bold>,<bold>e</bold> form direct hydrogen bonds with the Tyr332 and D70 side chains (<xref ref-type="fig" rid="F6">Figure 6A</xref>). There is also a theoretical possibility of interaction of the phosphoryl group with the Thr120 side chain oxygen atom through a bridging water molecule (<xref ref-type="fig" rid="F6">Figure 6A</xref>). According to X-ray crystallography (<xref ref-type="bibr" rid="B54">Koellner et al., 2000</xref>; <xref ref-type="bibr" rid="B17">Bourne et al., 2010</xref>; <xref ref-type="bibr" rid="B12">Berg et al., 2011</xref>), and molecular modeling (<xref ref-type="bibr" rid="B88">Nascimento et al., 2017</xref>; <xref ref-type="bibr" rid="B72">Makhaeva et al., 2021</xref>; <xref ref-type="bibr" rid="B116">van der Westhuizen et al., 2022</xref>), such interactions are typical for protein-ligand interactions in the active site gorge of cholinesterases.</p>
<p>Regarding acridines <bold>2d</bold> and <bold>2e</bold>, no specific interactions were observed, which agrees with their lower experimentally observed inhibitory activity. However, interactions of the acridine fragment of both compounds with the Trp82 main chain oxygen atom are possible (<xref ref-type="fig" rid="F6">Figure 6B</xref>). We observed such a water-mediated interaction for the similar amiridine fragment and the homologous AChE residue Trp86 in molecular dynamics simulations (<xref ref-type="bibr" rid="B72">Makhaeva et al., 2021</xref>). As observed with dihydroacridine derivatives, the phosphoryl group of the acridine compounds was located in such a way to suggest that a similar water molecule-bridged interaction occurred with the oxygen atom of the Thr120 side chain (<xref ref-type="fig" rid="F6">Figure 6B</xref>). Regarding the dibenzyloxy group of compound <bold>2d</bold>, such interactions are also possible for the oxygen atom (<xref ref-type="fig" rid="F6">Figure 6B</xref>), which is consistent with its higher inhibitory activity compared to compound <bold>2e</bold> (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="s3-5">
<title>3.5 Molecular dynamics simulations of the complex of compound 1d with BChE</title>
<p>We performed MD simulations for the complex of the most active compound <bold>1d</bold> with BChE. During the MD trajectory, the ligand remained bound to the enzyme, though it had reoriented, and the resulting binding pose (<xref ref-type="fig" rid="F7">Figure 7</xref>) differed from the docked one (<xref ref-type="fig" rid="F6">Figure 6A</xref>) in specific details. While molecular docking showed that the dihydroacridine group interacted with side chains of the PAS residues Asp70 and Tyr332, these interactions were disrupted shortly after the start of the MD simulation (<xref ref-type="fig" rid="F8">Figure 8A</xref>). Instead, the inhibitor reoriented so that the dihydroacridine group established new interactions with the side chain of Trp82 after 15 ns of simulation (<xref ref-type="fig" rid="F8">Figure 8B</xref>). This residue is located deeper in the gorge than Asp70 and Tyr332 and forms the active site as a part of the cation-binding compartment. The newly established &#x3c0;-cation stacking or T-stacking interactions of the dihydroacridine fragment were maintained during the remainder of the MD trajectory. In addition, T-stacking interactions of one of the ligand&#x2019;s phenyl rings with the Trp231 indole ring were observed during the entire MD trajectory (<xref ref-type="fig" rid="F8">Figure 8C</xref>). The reorientation of the ligand in the active site gorge of BChE took place during the first 15 ns of the simulation and included temporary displacement of the phosphate group. After this, the phosphate group returned to the position outside the oxyanion hole and close to the Thr120 side chain (<xref ref-type="fig" rid="F7">Figure 7</xref>; <xref ref-type="fig" rid="F8">Figure 8D</xref>). The MD simulation confirmed that their interaction was maintained mainly through frequently exchanging bridging water molecules (<xref ref-type="fig" rid="F9">Figure 9</xref>). However, occasional direct hydrogen bonding is also possible due to thermal motion (<xref ref-type="fig" rid="F8">Figure 8D</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>A snapshot from the MD simulation of the complex of compound <bold>1d</bold> with BChE, showing the main interactions in the complex after the ligand reorientation discussed in the text. Yellow dashed lines indicate hydrogen bonds, and orange dashes show stacking interactions. The ligand&#x2019;s atoms referred to in the following figure are labeled. Note the presence of a bridging water molecule whose hydrogen atoms form hydrogen bonds with the Tyr120 O<sup>&#x03B3;</sup> atom and the ligand O2 atom.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Interactions along the MD trajectory of the complex of compound <bold>1d</bold> with BChE. The evolution of distances between specified atoms or center of masses for the indole rings of Trp residues during the MD simulation is shown. The ligand atoms are indicated according to the labeling in <xref ref-type="fig" rid="F7">Figure 7</xref>. Bold lines show distances averaged over 1&#xa0;ns of the simulation, and the light trace shadow shows distances recorded every 10 ps. <bold>(A)</bold> The increase of the shown distances reflects the disruption of interactions between the dihydroacridine group of the ligand and Asp70 and Tyr332 residues and following reorientation; <bold>(B)</bold> the decrease of the shown distances reflects the establishment of new interactions between the dihydroacridine group of the ligand and the side chain of Trp82 after the ligand reorientation; <bold>(C)</bold> T-stacking interaction of one of the ligand&#x2019;s phenyl rings with the Trp231 indole ring was maintained through the whole trajectory and tended to be tighter by the end of the simulation; <bold>(D)</bold> after the ligand reorientation, the phosphoryl oxygen atom remained close enough to the Thr120 hydroxy group for indirect interactions via bridging water molecules. Only occasionally was the distance between them less than 3&#xc5;, which suggests the possibility of transient direct interactions in the form of weak hydrogen bonds.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g008.tif"/>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Bridging of the ligand phosphate group and Thr120 side chain by water molecules (LigO2&#xb7;&#xb7;&#xb7;H<sup>1/2</sup>-O-H<sup>1/2</sup>&#xb7;&#xb7; Thr120_O<sup>&#x3b3;</sup>) identified in the MD simulation of the complex between compound <bold>1d</bold> with BChE. Each line shows the minimum of the two distances between each of the designated water molecule hydrogen atoms and enzyme or ligand oxygen atom. A water molecule was considered bridging when such H-O distances were less than 2&#xa0;&#xc5; simultaneously for the ligand O2 and the enzyme Thr120_O<sup>&#x3b3;</sup> atoms; pairs of these distances for the same water molecule are shown with different shades of the same color. Along the MD trajectory, 133 different water molecules participated in bridging defined in such a way. The plot shows distances for a few water molecules that were most frequently identified as bridging. For clarity, distances for the other type of bridging (LigO2&#xb7;&#xb7;&#xb7;H<sup>1/2</sup>-O&#xb7;&#xb7; Thr120_H<sup>&#x3b3;</sup>) are not shown.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g009.tif"/>
</fig>
</sec>
<sec id="s3-6">
<title>3.6 Inhibition of &#x3b2;-amyloid (1-42) (A&#x3b2;<sub>42</sub>) self-aggregation</title>
<p>The <italic>in vitro</italic> inhibitory activity of the test compounds against A&#x3b2;<sub>42</sub> self-aggregation was determined using the thioflavin T (ThT) fluorimetric assay (<xref ref-type="bibr" rid="B60">LeVine, 1999</xref>; <xref ref-type="bibr" rid="B8">Bartolini et al., 2003</xref>; <xref ref-type="bibr" rid="B87">Munoz-Ruiz et al., 2005</xref>; <xref ref-type="bibr" rid="B9">Bartolini et al., 2011</xref>). This widely used procedure is based on specific binding of the fluorescent dye ThT to the &#x3b2;-sheets of assembled amyloid fibrils leading to a significant increase in fluorescence signal (<xref ref-type="bibr" rid="B14">Biancalana and Koide, 2010</xref>). Therefore, the decrease in ThT fluorescence in the presence of the studied compound correlates with its activity to inhibit the formation of amyloid aggregates.</p>
<p>As can be seen from <xref ref-type="table" rid="T1">Table 1</xref>, the ability of the studied compounds to inhibit the self-aggregation of A&#x3b2;<sub>42</sub> depends both on the structure of their acridine moiety and the substituents at the phosphorus atom; moreover, the structure-activity relationship largely coincides with that observed for BChE inhibition.</p>
<p>Indeed, acridine derivatives <bold>2</bold> inhibit the self-aggregation of A&#x3b2;<sub>42</sub> very weakly or do not inhibit at all. The ability of dihydroacridines <bold>1</bold> to block A&#x3b2;<sub>42</sub> self-aggregation depends on the structure of the phosphoryl fragment: dialkoxy derivatives are weak inhibitors, but the introduction of aryl substituents increases activity, which increases upon going from diphenoxy (<bold>1&#x441;</bold>) to dibenzyloxy (<bold>1d</bold>) substituents. Compound <bold>1d</bold> exhibits the maximum inhibitory activity and suppresses the formation of amyloid aggregates by 58.9% &#xb1; 4.7%. Its bioisosteric analog, the diphenethyl derivative <bold>1e</bold>, also has high activity, inhibiting A&#x3b2;<sub>42</sub> self-aggregation by 46.9% &#xb1; 4.2%. Adding a chlorine atom to the <italic>para</italic>-position of the phenethyl fragment <bold>1e</bold> (compound <bold>1f</bold>) slightly reduces the inhibitor activity.</p>
</sec>
<sec id="s3-7">
<title>3.7 Molecular docking to A&#x3b2;<sub>42</sub>
</title>
<p>Molecular docking did not reveal a direct explanation of the experimentally observed differences in the ability of acridine/dihydroacridine compounds to inhibit A&#x3b2;<sub>42</sub> self-aggregation. There were slight differences in estimated binding energies (<xref ref-type="sec" rid="s10">Supplementary Table S1</xref>) and number of contacts (<xref ref-type="sec" rid="s10">Supplementary Table S2</xref>) of dihydroacridine derivatives <bold>1d</bold>,<bold>e</bold> compared to acridine derivatives <bold>2d</bold>,<bold>e</bold> with A&#x3b2;<sub>42</sub> conformers obtained from the NMR structure (PDB: 1IYT) (<xref ref-type="bibr" rid="B30">Crescenzi et al., 2002</xref>) [see details in (<xref ref-type="bibr" rid="B73">Makhaeva et al., 2022</xref>)]. Although these differences could be considered minor, they are in line with different conformations of the A&#x3b2;<sub>42</sub> peptide used as molecular docking targets.</p>
<p>Another plausible reason for the experimentally observed substantial differences between active dihydroacridine inhibitors and practically inactive acridine compounds could be related to the different ability of planar aromatic acridines to self-associate through &#x3c0;-&#x3c0; stacking interactions compared to non-planar dihydroacridines. Such self-stacking of acridine derivatives is well known (<xref ref-type="bibr" rid="B37">Evstigneev et al., 2006</xref>; <xref ref-type="bibr" rid="B39">Franco Pinto et al., 2022</xref>) and could compete with binding to the A&#x3b2;<sub>42</sub> peptide (<xref ref-type="bibr" rid="B42">Gao et al., 1991</xref>; <xref ref-type="bibr" rid="B18">Buurma and Haq, 2008</xref>).</p>
</sec>
<sec id="s3-8">
<title>3.8 Antioxidant activity (AOA)</title>
<p>
<xref ref-type="table" rid="T2">Table 2</xref> lists the results of our determinations of the AOA of compounds <bold>1a&#x2013;f</bold> and <bold>2a&#x2013;f</bold> using the ABTS and FRAP assays. In the ABTS test, the radical cation ABTS<sup>&#x2022;&#x2b;</sup> reacts with an antioxidant via one or both of the following pathways: single-electron transfer (SET) or hydrogen-atom transfer (HAT). In the FRAP test, the ferric 2,4,6-tripyridyl-s-triazine complex [Fe (TPTZ)<sub>2</sub>]<sup>3&#x2b;</sup> is reduced to the corresponding ferrous complex [Fe (TPTZ)<sub>2</sub>]<sup>2&#x2b;</sup> by the SET mechanism. In these tests, we used Trolox and ascorbic acid as the reference and positive control compounds, respectively.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Antioxidant activity (AOA) of compounds <bold>1a&#x2013;f</bold> and <bold>2a&#x2013;f</bold> in the ABTS and FRAP tests.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Compound</th>
<th rowspan="2" align="left">Phosphoryl substituent</th>
<th colspan="2" align="left">ABTS<sup>&#x2022;&#x2b;</sup>-scavenging activity</th>
<th align="left">FRAP Fe<sup>3&#x2b;</sup>-reducing activity</th>
</tr>
<tr>
<th align="left">TEAC <xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</th>
<th align="left">IC<sub>50</sub>, &#x3bc;M <xref ref-type="table-fn" rid="Tfn7">
<sup>b</sup>
</xref>
</th>
<th align="left">TE <xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="center">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx15.tif"/>9-phosphoryl-9,10-dihydroacridines</td>
</tr>
<tr>
<td align="left">1a</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx16.tif"/>
</td>
<td align="left">0.99 &#xb1; 0.04</td>
<td align="left">21.3 &#xb1; 1.4</td>
<td align="left">1.60 &#xb1; 0.01</td>
</tr>
<tr>
<td align="left">1b</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx17.tif"/>
</td>
<td align="left">0.97 &#xb1; 0.03</td>
<td align="left">20.8 &#xb1; 1.3</td>
<td align="left">1.15 &#xb1; 0.01</td>
</tr>
<tr>
<td align="left">1c</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx18.tif"/>
</td>
<td align="left">1.13 &#xb1; 0.05</td>
<td align="left">17.8 &#xb1; 1.1</td>
<td align="left">1.13 &#xb1; 0.02</td>
</tr>
<tr>
<td align="left">1d</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx19.tif"/>
</td>
<td align="left">0.97 &#xb1; 0.04</td>
<td align="left">20.8 &#xb1; 1.3</td>
<td align="left">0.97 &#xb1; 0.06</td>
</tr>
<tr>
<td align="left">1e</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx20.tif"/>
</td>
<td align="left">0.90 &#xb1; 0.03</td>
<td align="left">21.8 &#xb1; 0.9</td>
<td align="left">1.10 &#xb1; 0.01</td>
</tr>
<tr>
<td align="left">1f</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx21.tif"/>
</td>
<td align="left">0.80 &#xb1; 0.03</td>
<td align="left">22.6 &#xb1; 0.7</td>
<td align="left">0.81 &#xb1; 0.02</td>
</tr>
<tr>
<td colspan="5" align="center">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx22.tif"/>9-phosphorylacridines</td>
</tr>
<tr>
<td align="left">2a</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx23.tif"/>
</td>
<td align="left">n.a</td>
<td align="left">n.d</td>
<td align="left">0.08 &#xb1; 0.02</td>
</tr>
<tr>
<td align="left">2b</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx24.tif"/>
</td>
<td align="left">n.a</td>
<td align="left">n.d</td>
<td align="left">0.07 &#xb1; 0.01</td>
</tr>
<tr>
<td align="left">2c</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx25.tif"/>
</td>
<td align="left">n.a</td>
<td align="left">n.d</td>
<td align="left">n.a</td>
</tr>
<tr>
<td align="left">2d</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx26.tif"/>
</td>
<td align="left">n.a</td>
<td align="left">n.d</td>
<td align="left">n.a</td>
</tr>
<tr>
<td align="left">2e</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx27.tif"/>
</td>
<td align="left">n.a</td>
<td align="left">n.d</td>
<td align="left">n.a</td>
</tr>
<tr>
<td align="left">2f</td>
<td align="left">
<inline-graphic xlink:href="FPHAR_fphar-2023-1219980_wc_tfx28.tif"/>
</td>
<td align="left">n.a</td>
<td align="left">n.d</td>
<td align="left">n.a</td>
</tr>
<tr>
<td colspan="2" align="left">Trolox</td>
<td align="left">1.0</td>
<td align="left">20.1 &#xb1; 0.7</td>
<td align="left">1.0</td>
</tr>
<tr>
<td colspan="2" align="left">Ascorbic acid</td>
<td align="left">0.97 &#xb1; 0.04</td>
<td align="left">22.4 &#xb1; 2.2</td>
<td align="left">1.23 &#xb1; 0.11</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn6">
<label>
<sup>a</sup>
</label>
<p>TEAC, Trolox equivalent antioxidant capacity (ABTS) and TE&#x2013;AOA, in Trolox equivalents (FRAP) (for the calculations, see Materials and methods).</p>
</fn>
<fn id="Tfn7">
<label>
<sup>b</sup>
</label>
<p>Compound concentration required for a 50% reduction in the concentration of the ABTS radical cation.</p>
</fn>
<fn>
<p>n.d. - not determined.</p>
<p> n.a. - not active.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>All derivatives of 9,10-dihydroacridine <bold>1</bold> demonstrated high radical-scavenging activity in the ABTS test at levels near or slightly above that of Trolox, the standard antioxidant. In contrast, the 9-phosphoryl-acridines <bold>2</bold> were not active in the ABTS test. It should also be noted that compounds <bold>1a&#x2013;d</bold> exhibited a high initial rate of the ABTS<sup>&#x2022;&#x2b;</sup> binding reaction, comparable to Trolox (the maximum degree of radical binding was achieved within 1&#xa0;min). This fact is consistent with the SET mechanism for the antiradical activity of these compounds. A slight decrease in the radical-scavenging activity was observed for the phenethyl derivative <bold>1e</bold> and its <italic>para</italic>-Cl-substituted analog <bold>1f</bold>, which was also accompanied by a decrease in the reaction rate (the time to reach the maximum degree of radical binding increased from 1 to 30&#xa0;min).</p>
<p>All dihydroacridine derivatives <bold>1a&#x2013;f</bold> also showed high iron-reducing activity in the FRAP test, at the level or above that of Trolox. Moreover, these compounds were relatively rapid antioxidants, reaching the maximum effect within 4&#xa0;min. The high activity of dihydroacridines <bold>1a&#x2013;f</bold> in the Fe<sup>3&#x2b;</sup>-reducing test is probably directly related to the ease of their electrochemical oxidation to acridines (<xref ref-type="bibr" rid="B109">Shchepochkin et al., 2021</xref>). The dimethoxy derivative <bold>1a</bold> (1.60 &#xb1; 0.01&#xa0;TE) was the lead compound in this series, and the least active compound was <italic>para</italic>-Cl-substituted diphenethylphosphoryl dihydroacridine <bold>1f</bold> (0.81 &#xb1; 0.02&#xa0;TE). In general, the results of the ABTS and FRAP tests were in good agreement with each other.</p>
<p>Phosphoryl acridines <bold>2a&#x2013;f</bold> had almost no activity in the FRAP test. Only dimethoxy and diethoxy derivatives <bold>2a,b</bold>, which are the aromatic analogs of the most active compounds <bold>1a,b</bold> in the dihydroacridine series, showed detectable activity.</p>
</sec>
<sec id="s3-9">
<title>3.9 Quantum-chemical calculations of AOA</title>
<p>The FRAP assay is a typical SET method (<xref ref-type="bibr" rid="B44">Gulcin, 2020</xref>; <xref ref-type="bibr" rid="B111">Spiegel et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Florin Danet, 2021</xref>), where [Fe (TPTZ)<sub>2</sub>]<sup>3&#x2b;</sup> is reduced to [Fe (TPTZ)<sub>2</sub>]<sup>2&#x2b;</sup> by electron transfer from an antioxidant molecule. Unlike [Fe (TPTZ)<sub>2</sub>]<sup>3&#x2b;</sup>, ABTS<sup>&#x2022;&#x2b;</sup> can be reduced by acquiring both a hydrogen atom and an electron, depending on the antioxidant structure, solvent type, and pH (<xref ref-type="bibr" rid="B48">Ilyasov et al., 2020</xref>). In particular, SET is facilitated at acidic pH (<xref ref-type="bibr" rid="B44">Gulcin, 2020</xref>). In the ABTS method used in this work, the main solvent is ethanol at pH&#x223c;4.5. Under these conditions, the ABTS<sup>&#x2022;&#x2b;</sup> molecule is deprotonated at both SO<sub>3</sub> groups; it is reduced by acquiring an electron from the antioxidant, similarly to [Fe (TPTZ)<sub>2</sub>]<sup>3&#x2b;</sup> (<xref ref-type="bibr" rid="B50">Ivanova et al., 2020</xref>).</p>
<p>In both methods, reduction can occur by either the direct SET mechanism characterized by the ionization potential (IP), or by a hydrogen atom abstraction from the antioxidant molecule, when an electron is transferred to the radical and a proton to a solvent molecule. In the latter case, the actual antioxidant mechanism may be a complex multistage process, but the overall reaction can be characterized by the enthalpy of a hydrogen atom abstraction<italic>, i.e</italic>., the bond dissociation enthalpy, also known as the bond dissociation energy (BDE).</p>
<p>The quantum mechanical (QM) characteristics of possible antioxidant reactions for dihydroacridines and acridines were calculated taking two items into account: 1) the protonation state of the investigated structures in water and ethanol for the FRAP and ABTS tests, respectively; and 2) the method of synthesizing acridines from dihydroacridines by two-electron transfer electrochemical oxidation (<xref ref-type="bibr" rid="B109">Shchepochkin et al., 2021</xref>). The second item suggested a two-stage mechanism for the interaction of the antioxidant with ABTS<sup>&#x2022;&#x2b;</sup> or FRAP molecules.</p>
<p>The calculated IP and BDE values for acridines were much higher than the corresponding values for dihydroacridines. Moreover, the characteristics of acridines were close to each other, as were the characteristics of dihydroacridines, which agrees with similar experimental results for compounds <bold>2a</bold> and <bold>1a</bold>, respectively. A detailed description of the approach that was used and all calculated characteristics are given in <xref ref-type="sec" rid="s10">Supplementary Materials</xref>. Here, we briefly summarize the results.</p>
<p>The obtained QM characteristics for the two-stage mechanism of interaction of the antioxidant and ABTS<sup>&#x2022;&#x2b;</sup> or FRAP molecules allowed us to suggest that each dihydroacridine molecule donates two electrons, yielding the corresponding acridine molecule, and thereby reducing two molecules of ABTS<sup>&#x2022;&#x2b;</sup> or FRAP. At the same time, the reduction of the second radical molecule was characterized by low values of the BDE, which was consistent with the high AOA of dihydroacridines in both tests. The poor AOA of acridines agrees with high values of their QM characteristics.</p>
<p>The suggested two-stage mechanism of the dihydroacridine antioxidant action is illustrated in <xref ref-type="fig" rid="F10">Figure 10</xref> for compound <bold>1a</bold> in the ABTS test as an example. In path A, the antioxidant (dihydroacridine, AH<sub>C</sub>H<sub>N</sub>) sequentially loses an electron and a hydrogen atom to generate the protonated form of the corresponding acridine (AH<sub>N</sub>
<sup>&#x2b;</sup>). The latter dissociates to acridine (A); this process is characterized by the proton affinity (PA). In path B, the antioxidant sequentially loses two H-atoms to form the corresponding acridine.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Two-stage mechanism of the antioxidant action of dihydroacridines in the ABTS test using compound <bold>1a</bold> as an example. The parent dihydroacridine <bold>1a</bold> (AH<sub>C</sub>H<sub>N</sub>) is circled in green, the final acridine <bold>2a</bold> (A) is circled in red, and the protonated form of acridine (AH<sub>N</sub>
<sup>&#x2b;</sup>) is circled in blue. The calculated QM characteristics of each stage are shown along the corresponding arrows indicating the reaction. &#x201c;Solv&#x201d; is the solvent molecule.</p>
</caption>
<graphic xlink:href="fphar-14-1219980-g010.tif"/>
</fig>
<p>In both cases, the reaction enthalpy of the second stage was low, indicating that the reduction of the second ABTS<sup>&#x2022;&#x2b;</sup> molecule occurred immediately after the reduction of the first one. For comparison, the IP and the enthalpy of a hydrogen atom abstraction of the phenol group of Trolox, calculated in ethanol, were 98.0 and 73.0&#xa0;kcal/mol, respectively.</p>
<p>A noticeably higher AOA of compound <bold>1a</bold> with methoxy substituents compared to other compounds <bold>1</bold> in the FRAP test and the similar AOA in the entire series of compounds <bold>1</bold> in the ABTS test could be explained by the different access of antioxidant molecules to the ABTS<sup>&#x2022;&#x2b;</sup> radical <italic>versus</italic> the [Fe (TPTZ)<sub>2</sub>]<sup>3&#x2b;</sup> cation. Indeed, [Fe (TPTZ)<sub>2</sub>]<sup>3&#x2b;</sup>, with a three-dimensional propeller structure, is bulkier than the quasi-one-dimensional structure of ABTS<sup>&#x2022;&#x2b;</sup> (<xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>), which hinders access for bulky antioxidants.</p>
</sec>
<sec id="s3-10">
<title>3.10 Prediction of ADMET, physicochemical, and PAINS profiles</title>
<p>
<xref ref-type="table" rid="T3">Table 3</xref> shows the predicted ADMET properties and physico-chemical characteristics that we computed for compounds <bold>1a&#x2013;f</bold> and <bold>2a&#x2013;f</bold>. As can be seen, with the exception of the phenethyl and chlorophenethyl derivatives <bold>1e&#x2013;f</bold> and <bold>2e&#x2013;f</bold>, we obtained favorable values for intestinal absorption, indicating that the compounds would be expected to be bioavailable when administered orally. Note that it is possible that the unfavorable numbers for compounds <bold>1e&#x2013;f</bold> and <bold>2e&#x2013;f</bold> were likely due to their being outside of the applicability domain of the model. Given the high BBB permeability values, the compounds would be expected to enter the brain to exert effects on CNS targets; this is especially so for the benzyl and phenethyl derivatives. Parameters for cardiac toxicity risk, hERG p<italic>K</italic>
<sub>
<italic>i</italic>
</sub> and pIC<sub>50</sub>, were within 5.0&#x2013;7.9 log units, near the center of the possible range of 3&#x2013;9 log units. Lipophilicities, as assessed by computed LogP values, were in some cases outside of the classical Lipinsky rule of 5 range, but these values were deemed unreliable owing to their being outside of the applicability domain of the model. Otherwise, the molecular weights and predicted aqueous solubility values were near or within acceptable limits for drug-like molecules. Integral quantitative estimates of drug likeness (QED) fell within a range of 0.2&#x2013;0.9; the most active compounds, <bold>1d,e</bold>, scored 0.3 for this parameter. Finally, no alerts were identified by the Pan Assay INterference compoundS (PAINS) filter.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Predicted ADMET and physicochemical profiles of compounds <bold>1a&#x2013;f, 2a&#x2013;f</bold>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Compound</th>
<th align="left">MW</th>
<th align="left">LogP<sub>ow</sub>
</th>
<th align="left">pS<sub>aq</sub>
</th>
<th align="left">LogBB</th>
<th align="left">HIA, %</th>
<th align="left">hERG <italic>pK</italic>
<sub>
<italic>i</italic>
</sub>
</th>
<th align="left">hERG <italic>pIC</italic>
<sub>
<italic>50</italic>
</sub>
</th>
<th align="left">QED</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1a</td>
<td align="left">289.27</td>
<td align="left">2.66</td>
<td align="left">2.55</td>
<td align="left">0.08</td>
<td align="left">75</td>
<td align="left">4.97</td>
<td align="left">5.15</td>
<td align="left">0.85</td>
</tr>
<tr>
<td align="left">1b</td>
<td align="left">317.32</td>
<td align="left">3.54</td>
<td align="left">3.32</td>
<td align="left">0.08</td>
<td align="left">90</td>
<td align="left">5.24</td>
<td align="left">5.28</td>
<td align="left">0.78</td>
</tr>
<tr>
<td align="left">1c</td>
<td align="left">413.41</td>
<td align="left">5.13</td>
<td align="left">5.57</td>
<td align="left">0.08</td>
<td align="left">75</td>
<td align="left">6.05</td>
<td align="left">6.69</td>
<td align="left">0.35</td>
</tr>
<tr>
<td align="left">1d</td>
<td align="left">441.47</td>
<td align="left">4.85</td>
<td align="left">5.02</td>
<td align="left">0.49</td>
<td align="left">75</td>
<td align="left">5.98</td>
<td align="left">6.38</td>
<td align="left">0.30</td>
</tr>
<tr>
<td align="left">1e</td>
<td align="left">437.52</td>
<td align="left">6.09</td>
<td align="left">6.10</td>
<td align="left">0.62</td>
<td align="left">15</td>
<td align="left">5.92</td>
<td align="left">6.71</td>
<td align="left">0.30</td>
</tr>
<tr>
<td align="left">1f</td>
<td align="left">506.41</td>
<td align="left">6.88</td>
<td align="left">6.71</td>
<td align="left">0.21</td>
<td align="left">15</td>
<td align="left">5.83</td>
<td align="left">7.56</td>
<td align="left">0.25</td>
</tr>
<tr>
<td align="left">2a</td>
<td align="left">287.25</td>
<td align="left">2.22</td>
<td align="left">2.21</td>
<td align="left">0.21</td>
<td align="left">70</td>
<td align="left">5.46</td>
<td align="left">5.30</td>
<td align="left">0.55</td>
</tr>
<tr>
<td align="left">2b</td>
<td align="left">315.31</td>
<td align="left">2.89</td>
<td align="left">3.14</td>
<td align="left">0.21</td>
<td align="left">86</td>
<td align="left">5.72</td>
<td align="left">5.41</td>
<td align="left">0.52</td>
</tr>
<tr>
<td align="left">2c</td>
<td align="left">411.40</td>
<td align="left">4.83</td>
<td align="left">5.80</td>
<td align="left">0.21</td>
<td align="left">70</td>
<td align="left">6.52</td>
<td align="left">6.65</td>
<td align="left">0.25</td>
</tr>
<tr>
<td align="left">2d</td>
<td align="left">439.45</td>
<td align="left">4.37</td>
<td align="left">5.34</td>
<td align="left">0.60</td>
<td align="left">70</td>
<td align="left">6.44</td>
<td align="left">6.38</td>
<td align="left">0.21</td>
</tr>
<tr>
<td align="left">2e</td>
<td align="left">435.51</td>
<td align="left">5.89</td>
<td align="left">6.15</td>
<td align="left">0.71</td>
<td align="left">11</td>
<td align="left">6.38</td>
<td align="left">6.68</td>
<td align="left">0.21</td>
</tr>
<tr>
<td align="left">2f</td>
<td align="left">504.40</td>
<td align="left">6.70</td>
<td align="left">6.80</td>
<td align="left">0.33</td>
<td align="left">11</td>
<td align="left">7.07</td>
<td align="left">7.87</td>
<td align="left">0.17</td>
</tr>
<tr>
<td align="left">Tacrine</td>
<td align="left">198.27</td>
<td align="left">2.95</td>
<td align="left">1.52</td>
<td align="left">0.00</td>
<td align="left">93</td>
<td align="left">4.98</td>
<td align="left">4.98</td>
<td align="left">0.71</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MW, molecular weight; LogP<sub>ow</sub>, octanol-water partition coefficient; pS<sub>aq</sub>, aqueous solubility [&#x2212;log(M)]; LogBB, blood&#x2013;brain barrier distribution; HIA, human intestinal absorption [%], hERG <italic>pKi</italic>&#x2014;hERG, potassium channel affinity [&#x2212;log(M)], hERG <italic>pIC</italic>
<sub>
<italic>50</italic>
</sub>&#x2014;hERG, potassium channel inhibitory activity [&#x2212;log(M)]; QED, quantitative estimate of drug-likeness.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Taken together, the results of the computed ADMET, physico-chemical, and PAINS profiles indicate that the lead compounds were acceptable for being advanced to further optimization and experimental studies of efficacy and safety.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>4 Conclusion</title>
<p>Thus, studying the esterase profile of two new groups of acridine derivatives, 9-phosphoryl-9,10-dihydroacridines <bold>1</bold> and 9-phosphoryl-acridines <bold>2</bold>, showed that all new compounds weakly inhibited AChE. Dihydroacridines with aryl substituents in the phosphoryl fragment inhibited BChE, with dibenzyloxy derivative <bold>1d</bold> and its diphenethyl bioisostere <bold>1e</bold> being the most active<bold>.</bold> Among acridines <bold>2</bold>, only one compound <bold>2d,</bold> an aromatized analog of <bold>1d,</bold> proved to be an effective BChE inhibitor. Using 9-bis(benzyloxy)phosphoryl-9,10-dihydroacridine <bold>1d</bold> as an example, a mixed mechanism of BChE inhibition was demonstrated from a kinetics analysis. The results of molecular docking served to explain the experimentally determined parameters of the potency, selectivity, and mechanism of cholinesterases inhibition by the acridine derivatives. Weak inhibition of CES, an off-target esterase, is a positive characteristic of the studied compounds, because this reduces the likelihood of unwanted drug-drug interactions in the case of their use in AD therapy.</p>
<p>The ability of the studied acridine derivatives to inhibit the self-aggregation of A&#x3b2;<sub>42</sub> depended on both the structure of the acridine moiety and the structure of the substituents at the phosphorus atom. Moreover, the structure-activity relationship largely coincided with that observed for BChE inhibition. Dihydroacridines <bold>1</bold>, especially with aryl substituents in the phosphoryl moiety, were able to block A&#x3b2;<sub>42</sub> self-aggregation. The most active were the dibenzyloxy derivative <bold>1d</bold> and its bioisosteric analog, the diphenethyl derivative <bold>1e</bold>. On the other hand, acridine derivatives <bold>2</bold> inhibited A&#x3b2;<sub>42</sub> self-aggregation weakly or not at all. Such a difference may be connected to the different ability to self-associate through &#x3c0;-&#x3c0; stacking interactions of the planar aromatic structure of acridines compared to non-planar dihydroacridines, which could compete with their binding to the A&#x3b2;<sub>42</sub> peptide.</p>
<p>All 9-phosphoryl-9,10-dihydroacridines <bold>1</bold> demonstrated high ABTS<sup>&#x2022;&#x2b;</sup>-scavenging and iron-reducing activity at the level of Trolox, unlike 9-phosphoryl-acridines <bold>2,</bold> which were not active. Quantum-chemical calculations confirmed this difference.</p>
<p>Calculated ADMET parameters of the test compounds predicted favorable intestinal absorption, good blood&#x2013;brain barrier permeability, and cardiac toxicity potential.</p>
<p>In summary, compounds <bold>1d</bold> and <bold>1e</bold> with dibenzyloxy- and diphenethyl- substituents were found to display high inhibition of BChE activity and A&#x3b2;<sub>42</sub> self-aggregation, high antioxidant capability, and favorable predicted ADMET properties. Therefore, these molecules can be considered lead compounds and are recommended for further in-depth studies as promising anti-AD agents.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>GM, SL, OC, and IU contributed to conception and design of the study; AS, MA, IU, and ND synthesized the compounds; NK, ERu, NB, and OS performed experimental investigation of biological activity; SL, TA, ET, ERa, VP, and RR performed computer modeling; NK, AS, TA, SL, ERu, NB, and ERa wrote sections of the manuscript and the first draft of the manuscript; GM, IU, NK, SL, VP, VF, SB, and RR&#x2014;review and editing of the manuscript; GM, IU, VC&#x2014;supervision of the project. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This research was partly supported by grant &#x23; 22-13-00298 of the Russian Science Foundation and IPAC RAS State Targets Project &#x23; FFSN-2021-0005; quantum-chemical calculations were supported the IBCP RAS State Targets Project &#x23; 122041400110-4. The synthesis of the compounds was financially supported by the Russian Foundation for Basic Research (research project &#x23; 19-29-08037). Support for RR&#x2019;s contributions to the computer modeling components of the work was provided in part by a grant from the Alternatives Research and Development Foundation (ARDF) and an Mcubed grant from the University of Michigan.</p>
</sec>
<ack>
<p>We thank the shared research facilities of the HPC computing resources at Lomonosov Moscow State University (<xref ref-type="bibr" rid="B120">Voevodin et al., 2019</xref>) and Joint Supercomputer Center of the Russian Academy of Sciences for supercomputer time, the &#x201c;Centre for Collective Use of IPAC RAS&#x201d; for use of equipment cited in the Methods. We are grateful to Prof. A.V. Nemukhin for helpful discussions.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>RR currently serves as a member of the advisory board of NeuroX1, a startup biotechnology company that is developing a software platform for the discovery and development of drugs for neurodegenerative diseases.</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="s9">
<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>
<sec id="s10">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2023.1219980/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2023.1219980/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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