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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2022.892801</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Green and Oolong Tea Extracts With Different Phytochemical Compositions Prevent Hypertension and Modulate the Intestinal Flora in a High-Salt Diet Fed Wistar Rats</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Ye</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tang</surname> <given-names>Xiaojuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Fanglan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhu</surname> <given-names>Jiangxiong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Meirong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wei</surname> <given-names>Xinlin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1583685/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Yuanfeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1631006/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute of Engineering Food, College of Life Sciences, Shanghai Normal University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Guijie Chen, Nanjing Agricultural University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Kunbo Wang, Hunan Agricultural University, China; Danyue Daisy Zhao, Hong Kong Polytechnic University, Hong Kong SAR, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xinlin Wei, <email>foodlab2010@163.com</email></corresp>
<corresp id="c002">Yuanfeng Wang, <email>yfwang@shnu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Food Chemistry, a section of the journal Frontiers in Nutrition</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>892801</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Ye, Tang, Li, Zhu, Wu, Wei and Wang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Ye, Tang, Li, Zhu, Wu, Wei and Wang</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>Green tea (GT) and oolong tea (OLT) are widely consumed beverages, and their preventive and regulatory effects on hypertension have been reported. However, the interventional effects of GT and OLT on hypertension induced by a high-salt diet and its mechanism have not been fully explored. This study evaluated the anti-hypertensive effects of GT and OLT and their underlying mechanisms. The <italic>in vivo</italic> anti-hypertensive effects of GT and OLT and their capability to prevent hypertension and regulate the intestinal microbiota in Wistar rats fed with a high-salt diet were evaluated. Our results show that GT and OLT supplementations could regulate oxidative stress, inflammation, gene expression, and parameter levels related to blood pressure (BP) and prevent the increase in BP induced by a high-salt diet. Furthermore, both GT and OLT boosted the richness and diversity of intestinal microbiota, increased the abundance of beneficial bacteria and reduced the abundance of harmful bacteria and conditionally pathogenic bacteria, and regulated the intestinal microbial metabolism pathway related to BP. Among them, OLT presented better effects than GT. These findings indicate that GT and OLT can prevent hypertension caused by high-salt diets, which may be due to the regulation of intestinal flora by GT and OLT.</p>
</abstract>
<kwd-group>
<kwd>green tea</kwd>
<kwd>oolong tea</kwd>
<kwd>high-salt diet</kwd>
<kwd>hypertension</kwd>
<kwd>intestinal flora</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="16"/>
<word-count count="9267"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>High-salt intake in the western diet is an important risk factor for many cardiovascular diseases (<xref ref-type="bibr" rid="B1">1</xref>). It is becoming increasingly difficult to ignore the adverse effects of a high-salt diet on cardiovascular health. Emerging evidence reveals that the potential cardiovascular hazards of high-salt diets are mainly related to arterial hypertension and are significantly and positively correlated with its morbidity and mortality (<xref ref-type="bibr" rid="B2">2</xref>). Besides, previous intervention studies have revealed that reducing sodium salt in the diet would reduce the occurrence of cardiovascular events (<xref ref-type="bibr" rid="B3">3</xref>). A long-term high-salt diet can also cause other unfavorable conditions, such as the imbalance of the intestinal microecology (<xref ref-type="bibr" rid="B4">4</xref>). So far, most studies have focused on the direct effects on the blood vessel and kidney system (<xref ref-type="bibr" rid="B5">5</xref>). However, some studies have shown that gut microbes are involved in these processes, and changes in their composition and structure will affect the occurrence and development of hypertension (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>The intestinal microorganism is an essential part of the human micro-ecological environment and crucial in maintaining human health. It is a dynamically balanced system. Intestinal microbes respond to fluctuations in the composition of the diet, resulting in transient or persistent changes in the composition of the gut microbiome (<xref ref-type="bibr" rid="B6">6</xref>). The intake of high-salt food can cause significant changes in the composition of the microbial community and induce hypertension, thus producing a profound impact on the host&#x2019;s health (<xref ref-type="bibr" rid="B1">1</xref>). Accumulating evidence shows that hypertension is associated with host intestinal microflora and its metabolic disorders (<xref ref-type="bibr" rid="B7">7</xref>). In addition, many animal experimental models also show that hypertension causes intestinal flora imbalance (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), and transplanting the dysbiological intestinal microbiota from hypertensive subjects and animal models into normotensive animals would increase the recipient&#x2019;s BP (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Given the relationship between hypertension and intestinal microflora, adjusting the intestinal microflora is still a potential and effective way to reduce hypertension. The environment plays a vital role in regulating the composition and structure of intestinal microbes, especially diet (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Since diet has a noticeable impact on intestinal microbes, it is an executable strategy to use dietary intervention to restore the destroyed intestinal flora and ameliorate hypertension and its complications. Tea is one of the three largest non-alcoholic beverages globally, and its drinking has a history of nearly a thousand years. Tea contains many active ingredients, such as tea polyphenols, polysaccharides, proteins, and catechins, which are considered to have various health benefits (<xref ref-type="bibr" rid="B12">12</xref>). Many types of teas and extracts can intervene or influence the intestinal microflora and microenvironment, thus exerting its prebiotic effect (<xref ref-type="bibr" rid="B13">13</xref>). So far, however, there has been little discussion on tea&#x2019;s impact on reducing BP by regulating the composition of intestinal microorganisms. Accumulating studies have indicated that tea has shown remarkable effects in preventing and managing hypertension (<xref ref-type="bibr" rid="B12">12</xref>). The epidemiological and population-based cohort results show that drinking GT or OLT can significantly reduce the risk of hypertension (<xref ref-type="bibr" rid="B14">14</xref>). Moreover, intervention studies of many hypertensive patients and animal models have shown that black tea and GT have a significant anti-hypertensive effect and can protect the cardiovascular system (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). However, research has consistently shown that the mechanism of tea lowering BP has not been adequately investigated. To solve these issues, more related works need to be carried out.</p>
<p>In this work, we investigated the effects of GT and OLT on BP, metabolic disorders, and gut microbial structure and composition in high-salt-fed rats. Also, we initially explored the possible mechanism of GT and OLT to prevent hypertension. These outcomes will contribute to the development of functional hypotensive foods.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Materials and Reagents</title>
<p>Green and oolong teas were obtained from Enshi Selenium Impression Agricultural Development Co., Ltd., (Enshi, China) and Guangdong Baixiang Tea Co., Ltd., (Guangdong province, China), respectively. The cultivar of GT came from the local area of Enshi, named &#x2018;Enshi Taizi&#x2019;, contained four or five leaves with fully mature. The cultivar of OLT was semi-treerescent form and sexual group and it contained one bud and four or five leaves with fully mature. Glutathione peroxidase (GPX), superoxide dismutase (SOD), malondialdehyde (MDA), nitric oxide (NO), creatinine (Cre), aldosterone (ALD), angiotensin-converting enzyme II (Ang II), and c-reactive protein (CRP) detection kits were purchased from Nanjing Jiancheng Bioengineering Institute (Nanjing, China). All catechin standards used in liquid chromatography were purchased from Chengdu RefMedic Biotech Co., Ltd., (Chengdu, China). All 21 amino acid standards were purchased from Sigma Co., (St Louis, MO, United States). All other chemicals were of analytical grade unless otherwise specified.</p>
</sec>
<sec id="S2.SS2">
<title>Tea Aqueous Extract Preparation</title>
<p>Tea leaves were crushed and then extracted (1:10 and 1:9, w/v) twice with boiling water for 4 h. After filtering through 500 mesh nylon cloth, the extracts were combined and centrifuged, and then the supernatant was concentrated and lyophilized.</p>
</sec>
<sec id="S2.SS3">
<title>Chemical Profile Analysis</title>
<p>The polysaccharide content was measured by the phenol sulfuric acid method (<xref ref-type="bibr" rid="B17">17</xref>). The polyphenol content was determined by using Folin&#x2013;Ciocalteu method regarding the national standard of China (GBT8313-2018). The flavonoid content was investigated according to the description of the national standard of China (SNT4592-2016). The element distribution was percormed according to the previous report (<xref ref-type="bibr" rid="B18">18</xref>). The catechin, alkaloid, and phenolic acid contents were measured according to the previous report by our lab (<xref ref-type="bibr" rid="B19">19</xref>). A high-performance liquid chromatography LCC-AT20 system (Shimadzu, Tokyo, Japan) was used to analyze the amino acid content in the samples. All kinds of amino acid standards (dissolved in 0.1 mol/L HCl) were prepared into a 1 mg/mL solution, and then each standard solution was mixed equally and diluted to each concentration gradient with 0.1 mol/L HCl. The samples were prepared in the same way. A total of 200 &#x03BC;L combined standard solution or sample was dissolved in mixed solution (200 &#x03BC;L OPA derivatization reagent + 600 &#x03BC;L boric acid buffer) and derivatized for 15 min in the dark. Next, HPLC analysis was performed. The HPLC system was as follows: C18 column (250 mm &#x00D7; 4.6 mm, 5 &#x03BC;m), 35&#x00B0;C for column temperature, 1 mL/min for flow rate, 338 nm for detection wavelength, 20 &#x03BC;L for injection, mobile phase A: 20 mmol/L dihydrogen phosphate sodium solution; mobile phase B: a mixed solution (methanol: acetonitrile: distilled water = 45: 45: 10).</p>
</sec>
<sec id="S2.SS4">
<title>Animals and Experimental Design</title>
<p>Twenty-four 8-week-old cleaning Wistar male rats were obtained from Slaccas Laboratory Animal Co., Ltd., (Shanghai, China) and divided into four groups, including model control (MC), GT, OLT, and normal control (NC) groups. All animal experiments were carried out according to the Experimental Animal Ethics Standards of the Experimental Animal Ethics and Use Committee of Shanghai Jiao Tong University (approval A2020080) and the Laboratory animal-Guideline for ethical review of China to maximize animal welfare. All experimental rats were housed at the Animal Experiment Center of Shanghai Jiao Tong University with free access to food and water in a controlled animal room (25 &#x00B1; 1&#x00B0;C, 70&#x2013;75% humidity, and a 12 h light-dark cycle). After acclimatization for 1 week, the NC group received Shoobree common standard feed (No. 1010009, Jiangsu Synergy Pharmaceutical Bioengineering Co., Lt d., Jiangsu, China) for 9 weeks on a regular diet; MC, GT, and OLT groups received with high-salt chow (92.45% common standard feed + 7.55% sodium chloride, 20210308(x), Suzhou Hongxin Biotechnology Co., Ltd., Jiangsu, China) for 9 weeks to induce hypertension. The Shoobree typical standard feed composition was presented in our previous report (<xref ref-type="bibr" rid="B20">20</xref>). In addition, the rats in GT and OLT groups were given 500 mg/kg GT and OLT aqueous extracts added into drinking water daily, respectively, and the rats in MC and NC groups were given distilled water. At the start and end of treatment, the body weight and systolic pressure reflecting BP of rats were measured.</p>
</sec>
<sec id="S2.SS5">
<title>Histology Analysis</title>
<p>After dehydration, the heart and kidney tissues were embedded in paraffin and sliced (3 &#x03BC;m of thickness) and then placed in an oven at 60&#x00B0;C for 30&#x2013;60 min. Next, gradient staining was performed according to the following steps: xylene I for 5 min, xylene II for 5 min, xylene III for 5 min, absolute ethanol for 1 min, 95% alcohol for 1 min, and 75% alcohol for 1 min. After washing, the sections were stained with hematoxylin staining solution for 2 min. After washing and returning to blue, the gradient dyeing was continued according to the following steps: eosin staining solution for 1 min, 75% alcohol for 30 s, 95% alcohol for 30 s, absolute alcohol for 30 s, xylene transparent for 1 min. Finally, the sections were mounted, dried, and observed under an optical microscope (&#x00D7; 400).</p>
</sec>
<sec id="S2.SS6">
<title>Real-Time Reverse Transcription-Quantitative PCR (qRT-PCR) Analysis</title>
<p>The total mRNA in kidney tissue was extracted and reverse transcribed into cDNA according to the Servicebio<sup>&#x00AE;</sup>RT First Strand cDNA Synthesis Kit instructions (Service, Wuhan, China). The mRNA expression level was detected by SYBR qPCR Master Mix (High ROX, Wuhan, China) according to the light quantitative PCR kit instructions. The specific primers used were as follows: ACE, 5&#x2032;-TCATCCAGTTCCAGTTCCACG-3&#x2032; (F), 5&#x2032;-CGTGTTTGGTGTCCAGG-3&#x2032;(R); endothelin-1 (ET-1), 5&#x2032;-TTGCTCCTGCTCCTCCTTGAT-3&#x2032;(F), 5&#x2032;-CTGTTCCCTTGG TCTGTGGTC-3&#x2032;(R); endothelial nitric oxide synthase (eNOS), 5&#x2032;-GGTATTTGATGCTCGGGACTGC-3&#x2032;(F), 5&#x2032;- GTGATGG CTGAACGAAGATTGC-3&#x2032; (R). &#x03B2;-actin, 5&#x2032;-TGCTATGTTGC CCTAGACTTCG-3&#x2032; (F), 5&#x2032;-GTTGGCATAGAGGTCTTTAC GG-3&#x2032; (R). The gene &#x03B2;-actin was employed as an internal reference, and the relative mRNA level of target genes was calculated using the 2&#x2212;&#x0394;&#x0394;Ct method.</p>
</sec>
<sec id="S2.SS7">
<title>Biochemical Analysis</title>
<p>The blood of rats was collected by cardiac puncture. Then, blood was immediately managed and centrifuged at high speed (10,000 rpm) at 4&#x00B0;C for 10 min. Serum was collected and stored at &#x2212;80&#x00B0;C. The levels of GPX, SOD, MDA, NO, Cre, ALD, Ang II, and CRP in serum were measured by commercially available kits.</p>
</sec>
<sec id="S2.SS8">
<title>Microbiome Profiling of Fecal Samples</title>
<p>The tail of the fixed rats was lifted, and the lower abdomen of the rats was gently pressed. After that, fresh feces were collected aseptically and stored at &#x2212;80&#x00B0;C until detection. Detailed DNA extraction analysis and sequencing steps were summarized in <xref ref-type="supplementary-material" rid="DS1">Supplementary Information</xref>.</p>
</sec>
<sec id="S2.SS9">
<title>Statistical Analysis</title>
<p>The data were expressed as the arithmetic mean &#x00B1; standard deviation. The student&#x2019;s <italic>t</italic>-test assessed comparisons between groups for two groups and one-way ANOVA for multiple groups using the Tukey test. A level of <italic>p</italic> &#x003C; 0.05 was considered statistically significant. All statistical analysis was performed by SPSS 20.0 (SPSS Inc., Chicago, IL, United States) and GraphPad Prism 8.0 (GraphPad Software Inc., San Diego, CA, United States).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Chemical Composition</title>
<p>As shown in <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>, both GT and OLT extracts contained appreciable contents of tea polysaccharides, polyphenols, epigallocatechin gallate (EGCG), epigallocatechin (EGC), total flavonoids, and <sc>L</sc>-theanine. Therein, the higher contents of EGCG, EGC, and <sc>L</sc>-theanine were found in OLT extracts, and the higher contents of tea polysaccharides, polyphenols, and total flavonoids were found in GT extracts. In addition, the two tea extracts also contained a high content of free amino acids, alkaloids and element distributions (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). However, most of the components of the two tea extracts had significant differences, which might be related to their sources and processing techniques. These results indicate that both GT and OLT extracts contain beneficial nutrients, which may be the main contributors to the regulation of BP.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Comparison of GT and OLT extracts for the main components (<italic>n</italic> = 3).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Taxonomy</td>
<td valign="top" align="center">Category</td>
<td valign="top" align="center">GT</td>
<td valign="top" align="center">OLT</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Polysaccharides (mg/g)</td>
<td valign="top" align="center">Tea polysaccharides</td>
<td valign="top" align="center">283.02 &#x00B1; 7.09</td>
<td valign="top" align="center">176.23 &#x00B1; 5.14<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Tea polyphenols (mg/g)</td>
<td valign="top" align="center">Total polyphenols</td>
<td valign="top" align="center">221.30 &#x00B1; 1.82</td>
<td valign="top" align="center">192.49 &#x00B1; 1.12<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Flavone (mg/g)</td>
<td valign="top" align="center">Total flavonoids</td>
<td valign="top" align="center">30.61 &#x00B1; 0.63</td>
<td valign="top" align="center">20.49 &#x00B1; 0.11<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Catechins (mg/g)</td>
<td valign="top" align="center">Catechin</td>
<td valign="top" align="center">5.31 &#x00B1; 0.07</td>
<td valign="top" align="center">11.07 &#x00B1; 0.02<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">EC</td>
<td valign="top" align="center">16.29 &#x00B1; 0.39</td>
<td valign="top" align="center">9.00 &#x00B1; 1.42<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">ECG</td>
<td valign="top" align="center">12.06 &#x00B1; 0.19</td>
<td valign="top" align="center">11.18 &#x00B1; 0.20<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">GC</td>
<td valign="top" align="center">48.36 &#x00B1; 0.85</td>
<td valign="top" align="center">8.62 &#x00B1; 0.35<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">EGC</td>
<td valign="top" align="center">52.46 &#x00B1; 0.98</td>
<td valign="top" align="center">59.36 &#x00B1; 2.80<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">GCG</td>
<td valign="top" align="center">18.24 &#x00B1; 0.30</td>
<td valign="top" align="center">10.24 &#x00B1; 0.53<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">EGCG</td>
<td valign="top" align="center">57.24 &#x00B1; 0.98</td>
<td valign="top" align="center">86.31 &#x00B1; 0.75<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Alkaloids (mg/g)</td>
<td valign="top" align="center">Caffeine</td>
<td valign="top" align="center">62.69 &#x00B1; 0.35</td>
<td valign="top" align="center">8.40 &#x00B1; 0.59<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Theobromine</td>
<td valign="top" align="center">13.50 &#x00B1; 0.23</td>
<td valign="top" align="center">21.64 &#x00B1; 0.07<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Phenolic acids (mg/g)</td>
<td valign="top" align="center">Gallic acid</td>
<td valign="top" align="center">3.78 &#x00B1; 0.05</td>
<td valign="top" align="center">20.05 &#x00B1; 0.13<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Caffeic acid</td>
<td valign="top" align="center">0.81 &#x00B1; 0.01</td>
<td valign="top" align="center">0.83 &#x00B1; 0.09ns</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">p-Coumaric acid</td>
<td valign="top" align="center">1.40 &#x00B1; 0.02</td>
<td valign="top" align="center">1.24 &#x00B1; 0.05<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Ferulic acid</td>
<td valign="top" align="center">0.59 &#x00B1; 0.01</td>
<td valign="top" align="center">0.69 &#x00B1; 0.03<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Amino acids (mg/g)</td>
<td valign="top" align="center">Asp</td>
<td valign="top" align="center">6.72 &#x00B1; 0.05</td>
<td valign="top" align="center">3.38 &#x00B1; 0.02<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Glu</td>
<td valign="top" align="center">6.50 &#x00B1; 0.17</td>
<td valign="top" align="center">0.65 &#x00B1; 0.07<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Asn</td>
<td valign="top" align="center">1.99 &#x00B1; 0.01</td>
<td valign="top" align="center">0.87 &#x00B1; 0.01<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Gln</td>
<td valign="top" align="center">0.35 &#x00B1; 0.01</td>
<td valign="top" align="center">0.62 &#x00B1; 0.01<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Gly</td>
<td valign="top" align="center">0.35 &#x00B1; 0.01</td>
<td valign="top" align="center">0.65 &#x00B1; 0.32<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">His</td>
<td valign="top" align="center">0.44 &#x00B1; 0.02</td>
<td valign="top" align="center">0.51 &#x00B1; 0.04<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Thr</td>
<td valign="top" align="center">1.27 &#x00B1; 0.05</td>
<td valign="top" align="center">1.04 &#x00B1; 0.09<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">0.15 &#x00B1; 0.01</td>
<td valign="top" align="center">0.15 &#x00B1; 0.07ns</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Ala</td>
<td valign="top" align="center">1.14 &#x00B1; 0.01</td>
<td valign="top" align="center">0.58 &#x00B1; 0.04<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Ser</td>
<td valign="top" align="center">0.36 &#x00B1; 0.05</td>
<td valign="top" align="center">1.34 &#x00B1; 0.08<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><sc>L</sc>-theanine</td>
<td valign="top" align="center">20.68 &#x00B1; 0.02</td>
<td valign="top" align="center">21.53 &#x00B1; 0.03<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Tyr</td>
<td valign="top" align="center">0.08 &#x00B1; 0.01</td>
<td valign="top" align="center">3.51 &#x00B1; 0.07<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Arg</td>
<td valign="top" align="center">2.79 &#x00B1; 0.12</td>
<td valign="top" align="center">2.12 &#x00B1; 0.18ns</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Val</td>
<td valign="top" align="center">0.17 &#x00B1; 0.01</td>
<td valign="top" align="center">0.36 &#x00B1; 0.02<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Met</td>
<td valign="top" align="center">1.40 &#x00B1; 0.13</td>
<td valign="top" align="center">1.65 &#x00B1; 0.15<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Trp</td>
<td valign="top" align="center">1.95 &#x00B1; 0.13</td>
<td valign="top" align="center">2.61 &#x00B1; 0.15<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Ile</td>
<td valign="top" align="center">0.78 &#x00B1; 0.05</td>
<td valign="top" align="center">2.47 &#x00B1; 0.30<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Phe</td>
<td valign="top" align="center">0.21 &#x00B1; 0.03</td>
<td valign="top" align="center">0.44 &#x00B1; 0.02<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Leu</td>
<td valign="top" align="center">0.70 &#x00B1; 0.07</td>
<td valign="top" align="center">0.64 &#x00B1; 0.12ns</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Lys</td>
<td valign="top" align="center">1.75 &#x00B1; 0.13</td>
<td valign="top" align="center">4.27 &#x00B1; 0.33<xref ref-type="table-fn" rid="t1fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Cys</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>ND, not detected. Asterisk indicates a significant difference compared to GT.</italic></p></fn>
<fn id="t1fn1"><p><italic>&#x002A;p &#x003C; 0.05, &#x002A;&#x002A;p &#x003C; 0.01. EC, epicatechin; ECG, epicatechin gallate; GC, gallocatechin; EGC, epigallocatechin; GCG, gallocatechin gallate; EGCG, epigallocatechin gallate.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Effect of Green Tea and Oolong Tea on Body Weight, Blood Pressure, and Histology of the Heart and Kidney</title>
<p>To assess the implication of a high-salt diet on the body weight and BP of Wistar rats before and after drinking tea were measured. Overall, a long-term high-salt diet did not significantly affect the body weight, and the intervention of teas had limited effects on the body weight (<xref ref-type="fig" rid="F1">Figure 1A</xref>). However, the treatment of GT or OLT prevented the increase in BP caused by a high-salt diet, and the BP of the GT and OLT groups was significantly different from that of the MC group after 8 weeks of intervention (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Moreover, the effect of OLT on preventing the increase of BP was better than GT (<xref ref-type="fig" rid="F1">Figure 1C</xref>). Further histological analysis shows that both GT and OLT reversed the structural damage of the heart and kidney tissue caused by a high-salt diet (<xref ref-type="fig" rid="F1">Figure 1D</xref>), including hypertrophy and necrosis of cardiomyocytes, thickening of the arterial walls of small blood vessels in the myocardium, and glomerular capillary dilation, as well as vacuolization, degeneration and necrosis of renal tubular epithelial cells.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>GT and OLT affected the body weight, blood pressure, and tissue condition. <bold>(A)</bold> Body weight. <bold>(B)</bold> Blood pressure. <bold>(C)</bold> Blood pressure variation after GT and OLT supplementation, <bold>(D)</bold> Histological analysis of heart and kidneys. Different uppercase or lowercase letters represent a significant difference among multiple groups (<italic>p</italic> &#x003C; 0.05). Asterisk represent a significant difference between groups. &#x002A;<italic>p</italic> &#x003C; 0.05. One-way ANOVA analysis followed by a Tukey test was employed to estimate the statistical significance.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-892801-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Effect of Green Tea and Oolong Tea on the Gene Expression</title>
<p>Studies have shown that a long-term high-salt diet causes an increase in BP (<xref ref-type="bibr" rid="B1">1</xref>). Thus, we investigated the effect of GT and OLT on the gene expressions closely related to BP regulation in the kidneys, including ACE, ET-1, and eNOS. From the data in <xref ref-type="fig" rid="F2">Figures 2A&#x2013;C</xref>, compared with the NC group, the mRNA expression of ACE and ET-1 of the MC group increased significantly, while the eNOS expression decreased significantly. However, compared with the MC group, GT and OLT treatments significantly down-regulated the mRNA expressions of ACE and ET-1 and significantly up-regulated the mRNA expression of eNOS. In particular, OLT exhibited a stronger regulatory effect than GT.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>GT and OLT adjusted the gene expression related to blood pressure and the serum biochemical parameters related to blood pressure in rats fed a high-salt diet. The relative expression of ACE <bold>(A)</bold>, ET-1 <bold>(B)</bold>, and eNOS <bold>(C)</bold>. The levels of Ang II <bold>(D)</bold>, ALD <bold>(E)</bold>, NO <bold>(F)</bold>, SOD <bold>(G)</bold>, GPX <bold>(H)</bold>, MDA <bold>(I)</bold>, CRP <bold>(J)</bold>, and Cre <bold>(K)</bold>. Asterisk represent a significant difference between groups. &#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. One-way ANOVA analysis followed by a Tukey test was employed to estimate the statistical significance.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-892801-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>Effect of Green Tea and Oolong Tea on the Serum Biochemical Parameters</title>
<p>Ang II, ALD, and NO are important regulators to maintain the balance of BP in the body, and their aberrant level will have a meaningful impact on BP (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). As shown in <xref ref-type="fig" rid="F2">Figures 2D&#x2013;F</xref>, the MC group reported significantly more Ang II and ALD levels and lowered NO level than the NC groups. GT or OLT administration remarkably reduced the Ang II and ALD levels and considerably elevated the NO level. Therein, only a limited regulation by GT on the ALD level was presented. Besides, the regulation effect of OLT on ALD was also better than GT.</p>
<p>The continuous increase of BP will increase the degree of oxidative stress and inflammation, which will lead to vascular dysfunction and kidney damage (<xref ref-type="bibr" rid="B23">23</xref>). <xref ref-type="fig" rid="F2">Figures 2G&#x2013;J</xref> shows a significant decrease in SOD and GPX enzyme activities and a significant increase in MDA and CRP levels in the MC group. For SOD and GPX enzyme activities, GT and OLT treatments significantly enhanced the enzyme activities of SOD and GPX, respectively. GT and OLT treatments noticeably decreased the MDA level but had a limited effect on CRP level for MDA and CRP levels. CRE is one of the markers of renal injury, and damaged kidneys are usually accompanied by elevated serum CRE levels (<xref ref-type="bibr" rid="B24">24</xref>). As shown in <xref ref-type="fig" rid="F2">Figure 2K</xref>, a long-term high-salt diet caused a significant increase in the Cre level in the MC group, but this could be significantly reversed by GT or OLT intervention. Interestingly, GT and OLT showed similar effects on the regulation of oxidative stress, inflammation, and kidney damage (no significant difference between groups).</p>
</sec>
<sec id="S3.SS5">
<title>Effect of Green Tea and Oolong Tea on the Diversity of Intestinal Flora</title>
<p>16S rRNA high-throughput sequencing technology was used to sequence the microbiota in fecal samples of rats on the Illumina novaseq platform. A total of 2,322,739 valid sequences and 4,801 different OTUs were provided from 24 samples (<italic>n</italic> = 6 in each group). OTU and Shannon rarefaction curves (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 2</xref>) indicate that the number of sequencing samples is sufficient, and the species richness and community uniformity are both high. The results obtained from the preliminary analysis of &#x03B1;-diversity, including the Chao and Shannon indices, are presented in <xref ref-type="fig" rid="F3">Figures 3A,B</xref>. As can be seen, the high-salt diet caused a significant decrease in the OTU richness and community &#x03B1;-diversity of the intestinal flora. At the same time, the intervention of GT and OLT alleviated the decline in the OTU richness and &#x03B1;-diversity caused by the long-term high-salt diet. Among them, OLT showed a better alteration effect. The flower diagram of OTUs (<xref ref-type="fig" rid="F3">Figure 3C</xref>) presented 446 mutual OTUs of all groups. The peculiar OTUs in MC, NC, GT, and OLT groups were 707, 962, 1,196, and 637. PCoA analysis (&#x03B2;-diversity) (<xref ref-type="fig" rid="F3">Figure 3D</xref>) showed a complete separation of gut microbiota community between the MC and NC groups. The intervention of GT and OLT reshaped the gut microbiota destroyed by the high-salt diet and brought it close to a healthy state, particularly OLT, with more effectiveness.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>GT and OLT altered the gut microbial diversity and composition at the phylum level in rats induced by a high-salt diet. <bold>(A)</bold> Chao index reflects species richness (the number of species). <bold>(B)</bold> Shannon index assessing the species diversity. <bold>(C)</bold> Flower diagram of OTUs, the petals are the number of OTUs unique to the corresponding group, and the center is the number of mutual OTUs of all groups. <bold>(D)</bold> 3D PCoA analysis based on Bray Curtis distance, the percentage represents the contribution value of each principal component to the sample difference. <bold>(E)</bold> Firmicutes abundance at the phylum level. <bold>(F)</bold> Bacteroidetes abundance at the phylum level. <bold>(G)</bold> The ratio of Firmicutes to Bacteroidetes. <bold>(H)</bold> Histogram of the relative distribution of gut microbes at the phylum level. One-way ANOVA analysis followed by a Tukey test was employed to estimate the statistical significance. The different letters represent significant differences between different groups (<italic>p</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-892801-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS6">
<title>Effect of Green Tea and Oolong Tea on the Gut Microbiota Composition at the Phylum Level</title>
<p>At the phylum level (<xref ref-type="fig" rid="F3">Figure 3H</xref>), the intestinal flora structure of rats was dominated by Firmicutes and Bacteroidetes. Compared with the NC group, the continuous high-salt diet feeding caused a significant increase in Firmicutes and a significant decrease in Bacteroidetes in the intestinal microbes of the MC group (<xref ref-type="fig" rid="F3">Figures 3E,F</xref>). As a result, an elevated ratio of Firmicutes to Bacteroides in the MC group was found (<xref ref-type="fig" rid="F3">Figure 3G</xref>). Conversely, OLT supplementation significantly decreased Firmicutes and significantly increased Bacteroidetes. Accordingly, OLT supplementation could substantially reduce the ratio of Firmicutes to Bacteroides, while GT supplementation had a limited effect.</p>
</sec>
<sec id="S3.SS7">
<title>Effect of Green and Oolong Teas on the Gut Microbiota Composition at the Genus Level</title>
<p>The intestinal microbes (top 20 genera in relative abundance) at the genus level in different treatment groups also had obvious distinctions (<xref ref-type="fig" rid="F4">Figure 4A</xref>). Additionally, Spearman correlation analysis based on the relative abundance showed more or less antagonistic or synergistic effects among various bacteria in rats of each group (<xref ref-type="fig" rid="F4">Figure 4B</xref>). The cladogram in <xref ref-type="fig" rid="F4">Figure 4C</xref> and linear discriminant analysis (LDA) histogram in <xref ref-type="fig" rid="F4">Figure 4D</xref> indicate that the GT group specifically and significantly enriched the <italic>Enterococcus</italic> genus compared with other groups. In contrast, the OLT group was characterized by specific and significant enrichment for the <italic>Allobaculum</italic>, <italic>Paraprevotella</italic>, <italic>Oscillospira</italic>, <italic>Bifidobacterium</italic>, and <italic>Ruminococcus</italic> genera. Likewise, a significant selective enhancement for <italic>Turicibacter</italic>, <italic>Treponema</italic>, <italic>Ralstonia</italic>, and <italic>Coprococcus</italic> genera in the NC group was found. However, the most unexpected result from this data is that the MC group specifically and significantly enriched the abundance of <italic>Lactobacillus</italic>.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>GT and OLT changed gut microbiota structure at the genus level in rats in response to a high-salt diet. <bold>(A)</bold> Histogram of the relative distribution of gut microbes at the genus level. <bold>(B)</bold> Microbial interaction network diagram at the genus level based on Spearman correlation analysis. The circle represents a genus, the size represents its relative abundance, different colors represent different phylum classifications, the line between the circles represents a significant correlation between the two bacteria (<italic>p</italic> &#x003C; 0.05). The red line represents a positive correlation, and the blue line represents a negative correlation. The thicker the line, the greater the absolute value of the correlation coefficient. <bold>(C)</bold> Cladogram based on LEfSe analysis. The cladogram corresponds to different levels of intestinal microbial classification from the inside to the outside, and the connection between the levels represents the belonging relationship. Each circled node represents a classification of bacteria, yellow nodes represent insignificant differences between groups, and non-yellow nodes represent that the bacterium is characteristic microorganisms of the corresponding group (significantly higher abundance in this group). The colored fan-shaped area marks the subordinate classification intervals of the characteristic microorganisms. <bold>(D)</bold> LDA histogram based on LEfSe analysis. Each horizontal column represents a kind of bacterium, and the length of the column corresponds to the LDA value. The higher the LDA value, the greater the difference. The color of the column corresponds to the characteristic microorganisms of the bacterial group (the higher abundance in the corresponding group).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-892801-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS8">
<title>Difference in Composition and Enrichment of Bacteria Genera With High Abundance</title>
<p>Just like the ecosystem, not all species are equal. The number of main microorganisms in the intestinal micro-ecosystem may have a crucial impact on the intestinal microenvironment. As shown in <xref ref-type="fig" rid="F5">Figure 5</xref>, the top 15 genera (more than 98% abundance) had mainly consisted of <italic>Lactobacillus</italic>, <italic>Allobaculum</italic>, <italic>Unspecified_S24_7</italic>, <italic>Turicibacter</italic>, <italic>Unspecified_Clostridiales</italic>, <italic>Unspecified_Clostridiaceae</italic>, <italic>Unspecified_Ruminococcaceae</italic>, <italic>Bifidobacterium</italic>, <italic>Treponema</italic>, <italic>Unspecified_Lachnospiraceae</italic>, <italic>Paraprevotella</italic>, <italic>Unspecified_Lachnospiraceae</italic>, <italic>Ralstonia</italic>, <italic>Ruminococcus</italic>, and <italic>Oscillospira</italic>. In high-salt fed rats, several bacteria were significantly decreased compared with a regular diet, including <italic>Unspecified_S24_7</italic>, <italic>Turicibacter</italic>, <italic>Unspecified_Clostridiales</italic>, <italic>Unspecified_Ruminococcaceae</italic>, <italic>Unspecified_Lachnospiraceae</italic>, and <italic>Ralstonia</italic> whereas others were significantly increased, such as <italic>Lactobacillus</italic> and <italic>Unspecified_Clostridiaceae</italic>. Interestingly, the decreased abundance of <italic>Unspecified_S24_7</italic>, <italic>Unspecified_Clostridiales</italic>, <italic>Unspecified_Ruminococcaceae</italic>, and <italic>Unspecified_Lachnospiraceae</italic> observed in the MC group was remarkably reversed by OLT supplementation. Furthermore, OLT intervention significantly reversed the high-salt evoked increase in the abundance of <italic>Unspecified_Clostridiaceae</italic>. Accordingly, GT intervention significantly elevated the relative abundance of <italic>Ralstonia</italic> and notably reduced the relative abundance of <italic>Unspecified_Clostridiaceae</italic>. Of particular interest, GT and OLT supplementation also considerably increased the relative abundance of <italic>Allobaculum</italic> and <italic>Bifidobacterium</italic>. However, surprisingly, the MC group was characterized by a relatively higher abundance of <italic>Lactobacillus</italic> traditionally classified as beneficial microbe.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>The relative abundance of top 15 genera in gut microbial of high-salt fed rats differed after GT and OLT supplementation. <bold>(A)</bold> Lactobacillus, <bold>(B)</bold> Allobaculum, <bold>(C)</bold> Unspecified_S24_7, <bold>(D)</bold> Turicibacter, <bold>(E)</bold> Unspecified_Clostridiales, <bold>(F)</bold> Unspecified_Clostridiaceae, <bold>(G)</bold> Unspecified_Ruminococcaceae, <bold>(H)</bold> Bifidobacterium, <bold>(I)</bold> Treponema, <bold>(J)</bold> Unspecified_Lachnospiraceae, <bold>(K)</bold> Paraprevotella, <bold>(L)</bold> Unspecified_Lachnospiraceae, <bold>(M)</bold> Ralstonia, <bold>(N)</bold> Ruminococcus, <bold>(O)</bold> Oscillospira. One-way ANOVA analysis followed by a Tukey test was employed to estimate the statistical significance. The different letters represent significant differences between different groups (<italic>p</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-892801-g005.tif"/>
</fig>
</sec>
<sec id="S3.SS9">
<title>Gut Microbial OTU Composition and Its Correlation With Metabolic Parameters</title>
<p>Among the top 50 OTUs (more than 99% abundance), 24 distinct OTUs had undergone noticeable variations through the GT intervention, and 34 distinct OTUs were significantly changed by OLT intervention compared with the MC group (<xref ref-type="fig" rid="F6">Figure 6A</xref>). Further analysis revealed that 13 and 16 of the OTUs altered by the Control group were reversed in response to GT and OLT interventions, respectively. Likewise, Spearman correlation analysis (<xref ref-type="fig" rid="F6">Figure 6B</xref>) was employed to investigate the correlation between the top 50 OTUs and hypertension-associated metabolic parameters. As can be seen, 17 out of 50 OTUs were positively or negatively correlated with at least one parameter associated with hypertension. Therein, <italic>Bacteroides</italic>, <italic>Aggregatibacter</italic>, <italic>Anaerofustis</italic>, <italic>Agrobacterium</italic>, <italic>Elusimicrobium</italic>, <italic>Prevotella</italic>, <italic>Sutterella</italic>, <italic>Paraprevotella</italic>, <italic>Coprococcus</italic>, <italic>Ruminococcus</italic>, and <italic>Akkermansia</italic> were negatively and significantly correlated with hypertension. However, although <italic>Lactobacillus</italic> had a significant correlation with hypertension but showed a controversial effect. Also, <italic>Faecalibacterium</italic>, <italic>Shuttleworthia</italic>, <italic>Clostridium</italic>, <italic>Dorea</italic>, <italic>Bacteroides</italic>, <italic>Aggregatibacter</italic>, <italic>Anaerofustis</italic>, <italic>Agrobacterium</italic>, <italic>Elusimicrobium</italic>, <italic>Enterobacter</italic> and <italic>Paraprevotella</italic> were negatively and significantly correlated with hypertension-related disorders. These genera may play a key role in preventing hypertension evoked by a high-salt diet.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>GT or OLT treatment reversed the imbalance of intestinal flora abundance of rats caused by a high-salt diet. <bold>(A)</bold> Heatmap in the abundance of the top 50 OTUs of different treatment groups of high-salt fed rats. The triangle and square indicate the less and more relative abundances of OTUs in GT or OLT groups in comparison with the MC group, respectively. The circular indicates that the OTU of the NC group that was changed by hypertension was reversed by GT or OLT treatment. <bold>(B)</bold> Spearman correlation analysis between the microbial genera in the intestinal flora and related parameters of hypertension. The parameters related to blood pressure are on the X-axis, and the bacteria genera are on the Y-axis. The R-value is displayed in different colors, and the &#x002A; sign indicates that there is a significant correlation between the two. &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-892801-g006.tif"/>
</fig>
</sec>
<sec id="S3.SS10">
<title>Green Tea and Oolong Tea Regulated the KEGG L3 Pathways Related to Hypertension</title>
<p>Up to date, identified pathways of particular interest regarding BP regulation, including histidine metabolism, tryptophan metabolism, and bile acid metabolism, have been proved to affect host BP through circulating microbial metabolites (<xref ref-type="bibr" rid="B11">11</xref>). Based on these researches, the KEGG L3 pathways related to hypertension, including histidine metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, primary bile acid biosynthesis, and secondary bile acid biosynthesis, were investigated to explore the effect of GT or OLT intervention on intestinal microbial function (<xref ref-type="fig" rid="F7">Figure 7</xref>). OLT supplementation significantly enhanced histidine metabolism and phenylalanine, tyrosine, and tryptophan biosynthesis compared with the MC group. Moreover, it also significantly decreased the primary and secondary bile acid biosynthesis. However, GT exhibited a limited impact on these pathways.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>GT and OLT regulated the KEGG L3 pathway related to hypertension. <bold>(A)</bold> Histidine metabolism, <bold>(B)</bold> Phenylalanine, tyrosine, and tryptophan biosynthesis, <bold>(C)</bold> Primary bile acid biosynthesis, <bold>(D)</bold> Secondary bile acid biosynthesis. If and only if the <italic>p</italic>-value after ANOVA analysis corrected for &#x201C;false discovery rate&#x201D; is less than 0.05, the Duncan test will be further performed. The different letters represent significant differences between different groups (<italic>p</italic> &#x003C; 0.05).</p></caption>
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</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>A western high-salt diet is a risk factor for cardiovascular complications and metabolic syndromes (<xref ref-type="bibr" rid="B25">25</xref>). Despite its indispensable involvement in many physiological activities, excessive salt uptake is detrimental to many well-recognized diseases, especially hypertension (<xref ref-type="bibr" rid="B25">25</xref>). Changing dietary habits has been proven to regulate BP (<xref ref-type="bibr" rid="B25">25</xref>) effectively. In particular, nutritional therapy has exhibited beneficial effects on the prevention and management of hypertension. As mentioned in the literature review, a strong relationship between tea consumption and BP has been reported in animal, population-based cohort, and meta-analysis studies (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Moreover, prior studies have noted the beneficial effect of various active compounds in tea on anti-hypertension (<xref ref-type="bibr" rid="B28">28</xref>). Numerous reports indicate a strong relationship between intestinal flora and host health, and simple diet changes can reshape the host&#x2019;s intestinal flora (<xref ref-type="bibr" rid="B29">29</xref>). Excessive salt intake efficiently induces high BP and severely disrupts the intestinal microecology diversity and structure (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B4">4</xref>). It has been reported that different tea extracts or active compounds could alter the composition and metabolism of the gut microbiota, directly or indirectly regulating the host health through a variety of disease model validations (<xref ref-type="bibr" rid="B13">13</xref>). However, the regulation mechanism of tea on hypertension driven by a high-salt diet remains poorly understood. The present study was designed to determine the effect of tea on BP and its potential regulatory mechanism.</p>
<p>In the current study, both GT and OLT supplementation showed a suppressive effect on BP and a protective effect on cardiac and renal tissue injuries but a limited impact on body weight. A similar result also was reported by Szuli&#x0144;ska et al., which showed that the anti-hypertensive effects of GT and OLT were not conducted by intervening in body weight (<xref ref-type="bibr" rid="B30">30</xref>). Our current findings are consistent with those of Xu and Tanida, who found that GT drinking for 3&#x2013;16 weeks significantly reduced systolic and diastolic BP in the hypertensive subjects tested and OLT drinking for 14 weeks reduced BP elevation in spontaneously hypertensive rats (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Besides, studies have shown that a low dose of GT extract (1 mg/kg/day) could significantly improve myocardial stiffness and cardiac compliance of deoxycorticosterone acetate-salt hypertensive rats (<xref ref-type="bibr" rid="B32">32</xref>). Although, our results also reveal that the anti-hypertensive activity of OLT was better than that of GT. It seems possible that this result is due to their different chemical compositions (<xref ref-type="table" rid="T1">Table 1</xref>). Owing to the distinctions in the category and source of tea, the distribution of active compounds for lowering BP is significantly different.</p>
<p>In addition to BP, GT or OLT intake also significantly reduced the mRNA expression of ACE and ET-1 and greatly increased the mRNA expression of eNOS. Ang II and ALD levels were significantly decreased for serum BP regulators, and NO level was markedly increased with the administration of OLT. Accordingly, GT supplementation remarkably reduced Ang II level and noticeably elevated NO status but had a limited effect on the ALD level. Renin plays a pivotal role in the development of hypertension. ACE is an integral part of the renin-angiotensin system (RAS) system, which can catalyze angiotensin I (Ang I) into Ang II with high-strength vasoconstriction activity, thereby inducing hypertension (<xref ref-type="bibr" rid="B31">31</xref>). Ang II can activate nicotinamide adenine dinucleotide phosphate (NADPH) to increase vascular superoxide anion, and the change of vascular superoxide anion plays a pivotal role in the occurrence of hypertension (<xref ref-type="bibr" rid="B12">12</xref>). Furthermore, Ang II can constrict blood vessels and promote the secretion of ALD. The high content of ALD will increase the content of Na<sup>+</sup> in the blood, which will overload the blood volume and cause high BP (<xref ref-type="bibr" rid="B21">21</xref>). Previous reports revealed that anti-hypertensive candidates could prevent BP elevation, oxidative stress and inflammation (<xref ref-type="bibr" rid="B33">33</xref>). As expected, treatment with GT and OLT (no significance between them) significantly enhanced the enzyme activities of SOD and GPX, and significantly reduced the levels of MDA and Cre. Still, no remarkable difference in CRP level was observed. There are similarities between our results and those described by Antonello, who found that GT (6 mg/mL) could inhibit the increase of BP and oxidative stress in male SD rats caused by excessive Ang II (<xref ref-type="bibr" rid="B34">34</xref>). Moreover, GT supplementation (4 g/kg diet, 42 d) significantly reduced the concentration of TNF-&#x03B1; (a critical pro-inflammatory cytokine) in the serum of NaCl-induced hypertensive rats and enhanced the body&#x2019;s total antioxidant status (<xref ref-type="bibr" rid="B30">30</xref>). ET-1 and eNOS are essential members of the renal endothelial function system. ET-1 is the most effective vasoconstrictor produced by the blood vessel wall and is involved in the pathogenesis of salt-sensitive hypertension in animals and humans (<xref ref-type="bibr" rid="B35">35</xref>). eNOS is a specific enzyme that oxidizes <sc>L</sc>-arginine to produce <sc>L</sc>-citrulline and NO. Studies have shown that the knockout of the eNOS gene in mice would produce vascular endothelial dysfunction and prone to hypertension. After transfection the eNOS gene, the damaged blood vessels can be recovered (<xref ref-type="bibr" rid="B36">36</xref>). Our results indicate that excessive salt intake enhanced the oxidative stress state of rats and led to an increase in the expression of ET-1, a decrease in the expression of eNOS, and an increase in the levels of Ang II and ALD. There are several possible explanations for this result. On the one hand, oxidative stress and pro-inflammatory factors can enhance ET-1 expression (<xref ref-type="bibr" rid="B12">12</xref>). On the other hand, ET-1 can activate the RAS system, promote the synthesis of Ang II, and release ALD (<xref ref-type="bibr" rid="B12">12</xref>). Our results corroborate the findings of a great deal of the previous work on tea and its active compounds in regulating BP. It is reported that GT (6 mg/mL) extracts significantly reduced the systolic and diastolic BP and oxidative stress of SD rats by inhibiting the increase in Ang II levels (<xref ref-type="bibr" rid="B34">34</xref>). In addition, black tea extracts exposed to porcine aortic endothelial cells could significantly boost the bioactivity of NO in aortic endothelial cells (<xref ref-type="bibr" rid="B37">37</xref>). GT extract regulated vascular homeostasis by its influence on the production of vasoconstrictive substances including Ang II, ET-1 as well as vasodilating substances (<xref ref-type="bibr" rid="B38">38</xref>). Interestingly, we found that the regulation effect of OLT was better than GT, which might be explained in part by higher EGCG and theanine contents in OLT. EGCG and theanine are considered to be the main components of tea to lower BP (<xref ref-type="bibr" rid="B12">12</xref>). Furthermore, it is speculated that the lower caffeine content might also be the reason for the high activity showed by OLT (<xref ref-type="bibr" rid="B39">39</xref>), and the stimulatory implications of caffeine could be decreased by the amount of EGCG in tea (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Long-term dietary salt-induced metabolic disorders contribute to aberrant intestinal microbiota <italic>via</italic> poorly understood mechanisms and further lead to high BP, accompanied by symptoms such as inflammation, gastrointestinal diseases, and endocrine disorders (<xref ref-type="bibr" rid="B25">25</xref>). The lower richness and diversity of gut microbes are observed in hypertensive individuals induced by a high-salt diet (<xref ref-type="bibr" rid="B40">40</xref>). Moreover, a strong relationship between microbial diversity and hypertension-related features has been reported (<xref ref-type="bibr" rid="B9">9</xref>). In line with these reports, our results (<xref ref-type="fig" rid="F3">Figures 3A&#x2013;D</xref>) show that the richness and diversity (including &#x03B1; and &#x03B2;) of the intestinal flora of hypertensive rats were significantly reduced. At the same time, GT and OLT supplementation significantly restored microbial richness and diversity, especially OLT. In addition to GT and OLT, many other candidates like yellow, white and dark teas can also increase the richness and diversity of the gut microbiota in dextran sulfate sodium-induced colitis mice (<xref ref-type="bibr" rid="B41">41</xref>). All these indicate the effectiveness of tea in regulating the richness and diversity of intestinal microbes, which could be attributed to the rich compounds in tea. At the phylum level, our current study indicates that a high-salt diet elevated gut colonization by bacteria of the phylum Firmicutes, with a resultant increase in the Firmicutes/Bacteroidetes ratio, which also accords with other previous studies (<xref ref-type="bibr" rid="B9">9</xref>). Furthermore, it is reported that the Firmicutes/Bacteroidetes ratio is increased in experimental animal and human subjects with obesity and metabolic syndrome (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>Among members of the Firmicutes phylum, high-salt-enriched bacteria mainly belong to the <italic>Lactobacillus</italic> genus, belonging to the Lactobacillaceae family. It is well known that the Lactobacillaceae family and <italic>Lactobacillus</italic> genus, recognized intestinal probiotics, are beneficial intestinal flora for improvement of intestinal health and exhibit anti-inflammation, antidiabetic, and anti-obesity (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Recently and more strikingly, studies have shown that higher levels of <italic>Lactobacillus</italic> were observed in hypertensive rats (<xref ref-type="bibr" rid="B11">11</xref>). Moreover, it is reported that the high abundance of <italic>Lactobacillus</italic> is positively correlated with obesity-related features (<xref ref-type="bibr" rid="B45">45</xref>). Research shows that the <italic>Lactobacillus</italic> genus contains more than 170 species (<xref ref-type="bibr" rid="B46">46</xref>). A recent study showed that some Lactobacillus species like <italic>Lactobacillus reuteri</italic> were related to metabolic disorders with obesity (<xref ref-type="bibr" rid="B47">47</xref>). Thus, a high abundance of Lactobacillaceae and <italic>Lactobacillus</italic> may also boost the risks of hypertension induced by a high-salt diet. Early work has shown that <italic>Enterococcus</italic> is a natural inhabitant of the intestinal tract in humans and many animals and is a probiotic because it stimulates immunity, anti-inflammatory activity, and the hypocholesterolemic effect. It can be used as a starter in food fermentation (<xref ref-type="bibr" rid="B48">48</xref>). Our results show that GT treatment could significantly enrich the <italic>Enterococcus</italic> genus, thereby helping GT to prevent the increase in BP. However, there are also some reports that <italic>Enterococcus</italic> is an important opportunistic pathogen and can cause many infections (<xref ref-type="bibr" rid="B49">49</xref>). This controversial result may be related to different experimental conditions, design, and analytical methods, and it can be explained by more research on microbial regulation by GT. Compared with GT, OLT intake enriched more intestinal microbes, including <italic>Allobaculum</italic>, <italic>Paraprevotella, Oscillospira</italic>, <italic>Bifidobacterium</italic>, and <italic>Ruminococcus</italic>. <italic>Allobaculum</italic> and <italic>Bifidobacterium</italic> (recognized beneficial bacteria) play a valuable role in the body&#x2019;s intestines and play an active role in promoting body health (<xref ref-type="bibr" rid="B50">50</xref>). Besides, studies have shown that the abundance of <italic>Paraprevotella</italic> is positively correlated with body strength (<xref ref-type="bibr" rid="B51">51</xref>). Chen et al. found that <italic>Oscillospira</italic> was closely related to human health because its abundance was positively correlated with gut microbial diversity and was inversely correlated with BP (<xref ref-type="bibr" rid="B52">52</xref>). <italic>Ruminococcus</italic> was reported to produce short-chain fatty acids (SCFAs) and was beneficial to the intestinal environment, whereas SCFAs are generally considered to have a variety of essential roles in maintaining human health, such as lowering BP, reducing inflammation, and protecting the intestinal mucosal barrier (<xref ref-type="bibr" rid="B53">53</xref>). In addition, our results reveal that OLT supplementation also significantly increased the abundance of <italic>Unspecified_S24_7</italic>, <italic>Unspecified_Clostridiales</italic>, and <italic>Unspecified_Ruminococcaceae</italic> genera. Thereinto, the Ruminococcaceae family is negatively correlated with arterial stiffness (<xref ref-type="bibr" rid="B54">54</xref>). However, there is limited information about <italic>Unspecified_S24_7</italic> and <italic>Unspecified_Clostridiales</italic>, and the relationship between their levels and gut health needs to be further studied. Our results further confirmed the regulatory effect of tea on the intestinal flora, which may be a critical factor in preventing the increase in BP evoked by a high-salt diet.</p>
<p>The abundance analysis of the top 50 OTUs further supports the above analysis, and 24 and 34 different OTUs were markedly altered by GT and OLT administrations, respectively. Therein, <italic>Bacteroides</italic>, <italic>Aggregatibacter</italic>, <italic>Anaerofustis</italic>, <italic>Agrobacterium</italic>, <italic>Elusimicrobium</italic>, <italic>Prevotella</italic>, <italic>Sutterella</italic>, <italic>Paraprevotella</italic>, <italic>Coprococcus</italic>, <italic>Ruminococcus</italic>, and <italic>Akkermansia</italic> were negatively and significantly correlated with hypertension. These bacteria may be involved in intestinal metabolism and microenvironment remodeling, thus exerting their indirect effects on regulating BP. For example, a recent study revealed that <italic>Bacteroides</italic> could play a protective role in hypertension and heart failure in hypertensive rodents (<xref ref-type="bibr" rid="B55">55</xref>). In addition, some bacteria, including <italic>Faecalibacterium</italic>, <italic>Shuttleworthia</italic>, <italic>Clostridium</italic>, <italic>Dorea</italic>, and <italic>Enterobacter</italic> genera, may also help lower BP. For instance, studies have shown that fecal <italic>Faecalibacterium</italic> abundance in patients with hypertension was lower than in healthy controls (<xref ref-type="bibr" rid="B55">55</xref>). Therefore, our results show that bacterial genera related to BP or its metabolic disorders may be potential therapeutic targets for preventing hypertension.</p>
<p>To further explore the implication of intestinal microbiota on BP, the known pathways related to BP regulation in the KEGG L3 pathway were explored, including histidine metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, primary bile acid biosynthesis, and secondary bile acid biosynthesis. It has been proven that <sc>L</sc>-histidine can exert anti-hypertensive effects in hypertensive models through central histamine H3 receptors (<xref ref-type="bibr" rid="B56">56</xref>). Additionally, the downstream metabolites of tryptophan in the intestine, including serotonin and indole, play an essential role in BP regulation (<xref ref-type="bibr" rid="B57">57</xref>). It has been reported that the primary receptor TGR5 was expressed on multiple tissues involved in BP regulation, and TGR5 agonism increased the eNOS activity of endothelial cells, which was beneficial to lower BP (<xref ref-type="bibr" rid="B58">58</xref>). Besides, intravenous injection of secondary bile acids could reduce BP in hypertensive rat models (<xref ref-type="bibr" rid="B59">59</xref>). As expected, GT and OLT supplementation altered these microbial metabolic pathways, and OLT exhibited a better regulation effect. These results strongly confirm that tea can alleviate high-salt-induced hypertension by regulating the metabolism of intestinal microbes.</p>
<p>In conclusion, both GT and OLT suppressed endothelial dysfunction and alleviated the increase in BP, oxidative stress, inflammation, and tissue damage in mice fed a high-salt diet. In addition, the disturbance of intestinal flora induced by a high-salt diet could be modulated by GT and OLT, which may be related to their differentiated composition. In particular, OLT has shown better anti-hypertension and regulation effects on intestinal flora structure and metabolism.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The datasets of intestinal flora of rats presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: NCBI (accession: <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJNA811498">PRJNA811498</ext-link>).</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Experimental Animal Ethics and Use Committee of Shanghai Jiao Tong University.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>XY, XT, and FL: writing&#x2014;original draft. JZ: data curation and validation. MW: data curation and software. XW: supervision and project administration. YW: supervision, project administration, and funding acquisition. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The 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 id="pudiscl1" sec-type="disclaimer">
<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>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Key R&#x0026;D Program of China (No. 2018YFC1604405), Key project in Agricultural science and technology funded by Shanghai Science and Technology Commission (No. 20392002100), Fund of Shanghai Engineering Research Center of Plant Germplasm Resources (No. 17DZ2252700), Research on the health function of tea and deep-processed products in preventing metabolic diseases (No. C-6105-20-074), and the Shanghai Academic/Technology Research Leader (20XD1433500). The authors also declare that this study received funding from the Program of Research and Promotion of Key Technologies for Green Production of Highquality Tea (2020310004000002) of Jiangsu Shuanglin Marine Biological Pharmaceutical Co., Ltd. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</p>
</sec>
<ack><p>We are grateful for support by the raw material supplementation by Shuanglin Liang from Jiangsu Shuanglin Marine Biological Pharmaceutical Co., Ltd., and Xueyun Wang from Enshi Selenium Impression Agricultural Development Co., Ltd., (Enshi, China).</p>
</ack>
<sec id="S10" sec-type="supplementary-material">
<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/fnut.2022.892801/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fnut.2022.892801/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.doc" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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