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<front>
<journal-meta>
<journal-id journal-id-type="pmc">BIOCELL</journal-id>
<journal-id journal-id-type="nlm-ta">BIOCELL</journal-id>
<journal-id journal-id-type="publisher-id">BIOCELL</journal-id>
<journal-title-group>
<journal-title>BIOCELL</journal-title>
</journal-title-group>
<issn pub-type="epub">1667-5746</issn>
<issn pub-type="ppub">0327-9545</issn>
<publisher>
<publisher-name>Tech Science Press</publisher-name>
<publisher-loc>USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">63557</article-id>
<article-id pub-id-type="doi">10.32604/biocell.2025.063557</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Resveratrol Preserves Mitochondrial DNA Integrity and Long-Term Memory without Decreasing Amyloid-<bold>&#x03B2;</bold> Levels in Alzheimer&#x2019;s Disease Mouse Models</article-title>
<alt-title alt-title-type="left-running-head">Resveratrol Preserves Mitochondrial DNA Integrity and Long-Term Memory without Decreasing Amyloid-&#x03B2; Levels in Alzheimer&#x2019;s Disease Mouse Models</alt-title>
<alt-title alt-title-type="right-running-head">Resveratrol Preserves Mitochondrial DNA Integrity and Long-Term Memory without Decreasing Amyloid-&#x03B2; Levels in Alzheimer&#x2019;s Disease Mouse Models</alt-title>
</title-group>
<contrib-group>
<contrib id="author-1" contrib-type="author">
<name name-style="western"><surname>GUREEV</surname><given-names>ARTEM P.</given-names></name><xref ref-type="aff" rid="aff-1">1</xref></contrib>
<contrib id="author-2" contrib-type="author">
<name name-style="western"><surname>SADOVNIKOVA</surname><given-names>IRINA S.</given-names></name><xref ref-type="aff" rid="aff-1">1</xref></contrib>
<contrib id="author-3" contrib-type="author">
<name name-style="western"><surname>CHERNYSHOVA</surname><given-names>EKATERINA V.</given-names></name><xref ref-type="aff" rid="aff-1">1</xref></contrib>
<contrib id="author-4" contrib-type="author">
<name name-style="western"><surname>KRUTSKIKH</surname><given-names>EKATERINA P.</given-names></name><xref ref-type="aff" rid="aff-1">1</xref></contrib>
<contrib id="author-5" contrib-type="author">
<name name-style="western"><surname>PEVZNER</surname><given-names>IRINA B.</given-names></name><xref ref-type="aff" rid="aff-2">2</xref></contrib>
<contrib id="author-6" contrib-type="author">
<name name-style="western"><surname>ZOROVA</surname><given-names>LJUBAVA D.</given-names></name><xref ref-type="aff" rid="aff-2">2</xref></contrib>
<contrib id="author-7" contrib-type="author">
<name name-style="western"><surname>NESTEROVA</surname><given-names>VERONIKA V.</given-names></name><xref ref-type="aff" rid="aff-1">1</xref></contrib>
<contrib id="author-8" contrib-type="author">
<name name-style="western"><surname>BABENKOVA</surname><given-names>POLINA I.</given-names></name><xref ref-type="aff" rid="aff-1">1</xref></contrib>
<contrib id="author-9" contrib-type="author" corresp="yes">
<name name-style="western"><surname>PLOTNIKOV</surname><given-names>EGOR Y.</given-names></name><xref ref-type="aff" rid="aff-2">2</xref><email>plotnikov@belozersky.msu.ru</email></contrib>
<aff id="aff-1"><label>1</label><institution>Department of Genetics, Cytology and Bioengineering, Voronezh State University</institution>, <addr-line>Voronezh, 396018</addr-line>, <country>Russia</country></aff>
<aff id="aff-2"><label>2</label><institution>A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University</institution>, <addr-line>Moscow, 119899</addr-line>, <country>Russia</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label>Corresponding Author: Egor Y. Plotnikov. Email: <email>plotnikov@belozersky.msu.ru</email></corresp>
</author-notes>
<pub-date date-type="collection" publication-format="electronic">
<year>2025</year>
</pub-date>
<pub-date date-type="pub" publication-format="electronic">
<day>27</day><month>05</month><year>2025</year>
</pub-date>
<volume>49</volume>
<issue>5</issue>
<fpage>873</fpage>
<lpage>892</lpage>
<history>
<date date-type="received">
<day>17</day>
<month>1</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>4</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 The Authors.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Published by Tech Science Press.</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="TSP_BIOCELL_63557.pdf"></self-uri>
<abstract>
<sec>
<title>Background</title>
<p>Mitochondrial dysfunction plays a critical role in the pathogenesis of Alzheimer&#x2019;s disease (AD). Resveratrol is a promising compound for the treatment of various neurodegenerative diseases, including AD.</p>
</sec>
<sec>
<title>Aims</title>
<p>To investigate mitochondrial damage and the effects of resveratrol on inflammation, cognitive function, and mitochondrial quality control in APP/PS1 mice.</p>
</sec>
<sec>
<title>Methods</title>
<p>Comparative analysis of mitochondrial DNA (mtDNA) damage was conducted between 10-month-old APP/PS1 mice and age-matched C57BL/6 mice. Assessments included measurement of amyloid-&#x03B2; levels, inflammatory markers, swimming distance in the Morris water maze, and gut microbiome composition. Resveratrol&#x2019;s effects on cytokine expression, mtDNA levels in plasma, and activation of Nuclear factor erythroid 2-related factor 2/Antioxidant response element (Nrf2/ARE) and phosphoinositide 3-kinase/protein kinase B (also known as Akt)/mechanistic target of rapamycin complex 1 (PI3K/Akt/mTORC1) signaling pathways were also evaluated.</p>
</sec>
<sec>
<title>Results</title>
<p>APP/PS1 mice exhibited significantly increased mtDNA damage in the prefrontal cortex, midbrain, and cerebellum, alongside higher amyloid-&#x03B2; levels and inflammatory markers. Resveratrol treatment led to reduced expression of pro-inflammatory cytokines, a decrease in <italic>Proteobacteria</italic> levels, and lower cell-free mtDNA in plasma. Partial improvement in long-term spatial memory was observed in APP/PS1 mice following resveratrol treatment, likely due to its anti-inflammatory properties. Activation of the Nrf2/ARE signaling pathway and markers of PI3K/Akt/mTORC1 axis activation were noted, with the latter regulating long-term potentiation.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Resveratrol demonstrates potential in mitigating inflammation and improving mitochondrial quality control in APP/PS1 mice, but it does not reduce amyloid-&#x03B2; levels, highlighting the complexity of AD pathology and the need for further research.</p>
</sec>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Alzheimer&#x2019;s disease</kwd>
<kwd>resveratrol</kwd>
<kwd>Nrf2</kwd>
<kwd>mTORC1</kwd>
<kwd>autophagy</kwd>
<kwd>amyloid-&#x03B2;</kwd>
<kwd>long-term spatial memory</kwd>
<kwd>mitochondrial DNA</kwd>
<kwd>inflammation</kwd>
</kwd-group>
<funding-group>
<award-group id="awg1">
<funding-source>Russian science foundation</funding-source>
<award-id>#22-74-00115</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Introduction</title>
<p>Cognitive dysfunction refers to specific changes in a human&#x2019;s mental abilities, including memory impairment, intellectual disability, attention deficits, language disorders, and other impairments. The most severe cases of irreversible cognitive decline fall into the category of dementia [<xref ref-type="bibr" rid="ref-1">1</xref>]. Among various dementia disorders, Alzheimer&#x2019;s disease (AD) manifests the most severe clinical presentation [<xref ref-type="bibr" rid="ref-2">2</xref>]. The dominant hypothesis attributes its development to progressive amyloid-&#x03B2; peptide aggregation in brain structures [<xref ref-type="bibr" rid="ref-3">3</xref>]. AD is accompanied by mitochondrial dysfunction, which can arise from the direct effects of amyloid-&#x03B2; on mitochondrial proteins and membranes. It is known that there is a decrease in the activity of the Krebs cycle, mitochondrial respiratory chain, and ATP production in the brains of patients with AD [<xref ref-type="bibr" rid="ref-4">4</xref>]. Neuropathological examinations reveal significant mitochondrial genome abnormalities in Alzheimer&#x2019;s disease. Quantitative analysis shows that cortical mitochondrial DNA (mtDNA) in AD patients below 75 years contains 15 times more deletions than neurologically intact individuals of comparable age [<xref ref-type="bibr" rid="ref-5">5</xref>]. Deletions in mtDNA result in a deficiency of cytochrome c oxidase in the brains of patients with AD [<xref ref-type="bibr" rid="ref-6">6</xref>]. Patients have 63% more mutations than healthy individuals, and notably, these mutations tend to accumulate in the regulatory regions of mtDNA [<xref ref-type="bibr" rid="ref-7">7</xref>]. The number of oxidized bases, especially 8-oxoguanine, was also approximately ten times higher in patients with AD compared to control subjects. Similarly, mtDNA had ten times more oxidative damage than nuclear DNA [<xref ref-type="bibr" rid="ref-8">8</xref>].</p>
<p>Proteolytic processing of APP by &#x03B2;-secretase and &#x03B3;-secretase generates amyloid-&#x03B2; peptides, with presenilin proteins (PSEN1/2) forming the active site of &#x03B3;-secretase [<xref ref-type="bibr" rid="ref-9">9</xref>]. AD predominantly (&#x003E;90%) occurs as sporadic late-onset disease, though rare familial cases result from pathogenic variants in APP or presenilin genes [<xref ref-type="bibr" rid="ref-10">10</xref>]. Although laboratory animals, particularly mice, do not naturally develop AD, transgenic models have been created in which human mutant <italic>APP</italic> and <italic>PSEN1/2</italic> genes are expressed [<xref ref-type="bibr" rid="ref-11">11</xref>]. In the APP/PS1 mouse model, progressive amyloid-&#x03B2; aggregation triggers neuroinflammatory cascades and ultimately leads to cognitive dysfunction [<xref ref-type="bibr" rid="ref-12">12</xref>]. Research indicates that these genetically modified mice develop mitochondrial abnormalities comparable to those found in individuals with AD [<xref ref-type="bibr" rid="ref-13">13</xref>]. It has also been shown that a large number of mitochondrial DNA deletions accumulate in the brains of mice in an AD model expressing an inducible mitochondrial-targeted endonuclease [<xref ref-type="bibr" rid="ref-14">14</xref>]. However, the accumulation of mutations, particularly mtDNA deletions, is not always preceded by the accumulation of oxidative damage [<xref ref-type="bibr" rid="ref-15">15</xref>]. Currently, there is no data on changes in the amount of mtDNA damage in animal models of AD.</p>
<p>Many signaling pathways that regulate mitochondrial metabolism and the clearance of amyloid-&#x03B2; are considered promising targets for pharmacological agents. In particular, nuclear factor erythroid 2-related factor 2 (Nrf2) plays a key role in the adaptive response to oxidative stress and can inhibit ferroptosis, which is a relatively new avenue in Alzheimer&#x2019;s disease therapy [<xref ref-type="bibr" rid="ref-16">16</xref>]. Nrf2 has a close interplay with other signaling pathways. Specifically, Nrf2 is capable of regulating the expression of the gene that encodes a key component of the mechanistic target of rapamycin complex 1 (mTORC1). mTORC1-dependent pathways for regulating autophagy are also considered interesting targets for Alzheimer&#x2019;s disease therapy [<xref ref-type="bibr" rid="ref-17">17</xref>]. Furthermore, these pathways are involved in maintaining synaptic plasticity and regulating long-term potentiation, thereby directly influencing cognitive functions [<xref ref-type="bibr" rid="ref-18">18</xref>]. Some polyphenolic compounds, including resveratrol, are considered promising for potentially slowing down the pathogenesis of AD. Resveratrol possesses anti-inflammatory properties and can activate signaling pathways that potentially protect brain mitochondria from damage caused by amyloid-&#x03B2; accumulation [<xref ref-type="bibr" rid="ref-19">19</xref>,<xref ref-type="bibr" rid="ref-20">20</xref>]. However, it should be noted that many polyphenols, including resveratrol, have limited bioavailability as they are largely metabolized in the intestine. The oral absorption of resveratrol in humans is approximately 75% through trans-epithelial diffusion. However, intensive metabolism in the gut and liver results in the bioavailability of resveratrol being significantly less than 1% when taken orally [<xref ref-type="bibr" rid="ref-21">21</xref>]. Resveratrol&#x2019;s pleiotropic actions necessitate investigation within the gut-brain axis framework, recognizing this intricate signaling system coordinates neural, hormonal, and immunological communication between the intestine and brain. This axis is modulated through interconnected mechanisms involving neuronal signaling, endocrine pathways, immune responses, and metabolic regulation. The effects on the gut microbial composition may have remote consequences, including on inflammatory processes in the brain, and consequently, on cognitive functions [<xref ref-type="bibr" rid="ref-22">22</xref>]. The goal of this study was to investigate the ability of resveratrol to impact cognitive functions in APP/PS1 mice, amyloidogenesis, markers of inflammation, including in the gut microbiome, the level of mtDNA damage in the brain, as well as the expression level of genes that may influence cognitive functions and protect mitochondria from damage.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Materials and Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Animals</title>
<p>The experiment involved 6-month-old male and female mice from two groups: wild-type C57BL/6 (<italic>n</italic> &#x003D; 7) and transgenic APP/PS1 (<italic>n</italic> &#x003D; 13). Their initial weights varied from 27 to 32 g. The C57BL/6 strain was procured from Stolbovaya breeding laboratory (Moscow region, Russia), whereas the APP/PS1 mice were supplied by Pushchino Nursery for Laboratory Animals (Moscow region, Russia). The animals were kept under standardized conditions featuring a 12-h photocycle, constant 25&#x00B0;C ambient temperature, with unlimited access to water and commercial rodent diet (Ssniff-Spezialdi&#x00E4;ten GmbH). APP/PS1 mice starting from the age of 6 months were divided into two groups. The first group (<italic>n</italic> &#x003D; 7) continued to receive water. The second group of APP/PS1 mice (<italic>n</italic> &#x003D; 6) received resveratrol (Sigma-Aldrich, 501-36-0, St. Louis, MA, USA) at a concentration of 20 mg/kg/day with drinking water. This concentration was previously tested in an experiment on middle-aged non-diseased mice [<xref ref-type="bibr" rid="ref-23">23</xref>]. The amount of water consumed with dissolved resveratrol was monitored daily. The treatment lasted for 4 months. Long-term spatial memory function was quantitatively analyzed using the Morris water maze paradigm following the experimental treatment phase. Subsequently, the mice were euthanized for molecular and genetic analyses. Brain tissue was extracted and dissected, with the cerebral cortex isolated for DNA/RNA extraction and protein profiling. Hippocampus, ventral midbrain, thalamus, cerebellum, and mice feces were used for the DNA extraction only.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Morris Water Maze</title>
<p>The Morris water maze (MWM) test was employed to evaluate the cognitive functions of mice, following the protocol described by Vorhees and Williams (2006) [<xref ref-type="bibr" rid="ref-24">24</xref>]. The apparatus consisted of a circular pool made of rubber, measuring 147 cm in diameter and 33 cm in height. The pool was filled to approximately half its height with water maintained at room temperature and rendered opaque by the addition of food-grade titanium dioxide dye to obscure the platform from view. The pool was conceptually divided into four quadrants: North (N), South (S), East (E), and West (W). Visual cues, positioned consistently throughout the experiment, were utilized as spatial references, and the experimenter maintained a fixed position to minimize external variables. The assessment of spatial long-term memory was conducted over a 12-day protocol, divided into four distinct phases. During the initial phase (days 1&#x2013;5), mice underwent training to establish reference memory, with the platform consistently placed in the Southwest (SW) quadrant. Each mouse performed four trials per day, with each trial lasting 60 s. On day 6, a probe trial was conducted, during which the platform remained in the SW quadrant, but each mouse was given a single 60-s trial starting from the Northeast (NE) quadrant (see <xref ref-type="table" rid="table-1">Table 1</xref>). Subsequently, a reversal training phase was implemented over the next five days (days 7&#x2013;11), wherein the platform was relocated to the opposite Northeast (NE) quadrant. This phase aimed to evaluate the animals&#x2019; ability to extinguish the previously learned spatial memory and acquire a new navigational strategy. On day 12, a reversal probe trial was conducted, with the starting position set to the SW quadrant (<xref ref-type="table" rid="table-1">Table 1</xref>). Spatial long-term memory was assessed based on two primary parameters: the latency to locate the platform and the total distance swam by the mice during the search.</p>
<table-wrap id="table-1">
<label>Table 1</label>
<caption>
<title>Allocation of starting quadrants for mice during Morris water maze training sessions and memory testing</title>
</caption>
<table>
<colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Day</th>
<th>1st</th>
<th>2nd</th>
<th>3rd</th>
<th>4th</th>
<th>5th</th>
<th>6th</th>
</tr>
</thead>
<tbody>
<tr>
<td>1st attempt</td>
<td>N</td>
<td>SE</td>
<td>NW</td>
<td>E</td>
<td>N</td>
<td>NE</td>
</tr>
<tr>
<td>2nd attempt</td>
<td>E</td>
<td>N</td>
<td>SE</td>
<td>NW</td>
<td>SE</td>
<td></td>
</tr>
<tr>
<td>3rd attempt</td>
<td>SE</td>
<td>NW</td>
<td>E</td>
<td>N</td>
<td>E</td>
<td></td>
</tr>
<tr>
<td>4th attempt</td>
<td>NW</td>
<td>E</td>
<td>N</td>
<td>SE</td>
<td>NW</td>
<td></td>
</tr>
<tr>
<td><bold>Day</bold></td>
<td><bold>7th</bold></td>
<td><bold>8th</bold></td>
<td><bold>9th</bold></td>
<td><bold>10th</bold></td>
<td><bold>11th</bold></td>
<td><bold>12th</bold></td>
</tr>
<tr>
<td>1st attempt</td>
<td>S</td>
<td>NW</td>
<td>SE</td>
<td>W</td>
<td>S</td>
<td>SW</td>
</tr>
<tr>
<td>2nd attempt</td>
<td>W</td>
<td>S</td>
<td>NW</td>
<td>SE</td>
<td>NW</td>
<td></td>
</tr>
<tr>
<td>3rd attempt</td>
<td>NW</td>
<td>SE</td>
<td>W</td>
<td>S</td>
<td>W</td>
<td></td>
</tr>
<tr>
<td>4th attempt</td>
<td>SE</td>
<td>W</td>
<td>S</td>
<td>NW</td>
<td>SE</td>
<td></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Nucleic Acid Isolation</title>
<p>Genomic DNA was purified from murine brain regions and fecal samples using the Proba-GS extraction kit (DNA Technology, P-003/1, Moscow, Russia) according to the manufacturer&#x2019;s protocol. Cortical RNA was isolated in parallel using the ExtractRNA system (Evrogen, BC032, Moscow, Russia). Nucleic acid integrity was verified by electrophoretic separation in 2% agarose/TAE buffer.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Estimation of the Bacterial Composition of the Gut Microbiome</title>
<p>A quantitative PCR (qPCR) technique was employed to evaluate the bacterial composition of the gut microbiome [<xref ref-type="bibr" rid="ref-25">25</xref>]. The qPCR was conducted on a CFX96TM Real-Time System thermocycler (Bio-Rad, C1000, Hercules, CA, USA) using a reaction mixture comprising 1&#x00D7; qPCRmix-HS SYBR (Evrogen, PK147S, Moscow, Russia), a 20 pM concentration of forward and reverse primer combination (Evrogen, SP001, Moscow, Russia), and 10 ng of DNA template. Primer sequences are presented in <xref ref-type="table" rid="table-2">Table 2</xref>. The proportion of bacterial phylum content was calculated using the formula:
<disp-formula id="ueqn-1"><mml:math id="mml-ueqn-1" display="block"><mml:mi mathvariant="normal">&#x0025;</mml:mi><mml:mtext>&#x00A0;</mml:mtext><mml:mrow><mml:mrow><mml:mtext>phylum</mml:mtext></mml:mrow></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mtext>E</mml:mtext></mml:mrow><mml:mspace width="thinmathspace" /><mml:msup><mml:mrow><mml:mtext>universal</mml:mtext></mml:mrow><mml:mrow><mml:mrow><mml:mtext>Cq universal</mml:mtext></mml:mrow></mml:mrow></mml:msup><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mrow><mml:mtext>E</mml:mtext></mml:mrow><mml:mspace width="thinmathspace" /><mml:msup><mml:mrow><mml:mtext>specific</mml:mtext></mml:mrow><mml:mrow><mml:mrow><mml:mtext>Cq specific</mml:mtext></mml:mrow></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow><mml:mo>&#x00D7;</mml:mo><mml:mn>100</mml:mn></mml:math></disp-formula></p>
<table-wrap id="table-2">
<label>Table 2</label>
<caption>
<title>Primer sequences for assessing the bacterial composition of the gut microbiome using qPCR</title>
</caption>
<table>
<colgroup>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Bacteria phylum</th>
<th>Forward primer 5<sup>&#x2032;</sup>&#x2013;3<sup>&#x2032;</sup></th>
<th>Reverse primer 5<sup>&#x2032;</sup>&#x2013;3<sup>&#x2032;</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td>Universal 16s</td>
<td>AAACTCAAAKGAATTGACGG</td>
<td>CTCACRRCACGAGCTGAC</td>
</tr>
<tr>
<td><italic>Bacteroidetes</italic></td>
<td>GTTTAATTCGATGATACGCGAG</td>
<td>TTAASCCGACACCTCACGG</td>
</tr>
<tr>
<td><italic>Firmicutes</italic></td>
<td>GGAGYATGTGGTTTAATTCGAAGCA</td>
<td>AGCTGACGACAACCATGCAC</td>
</tr>
<tr>
<td><italic>Actinobacteria</italic></td>
<td>TGTAGCGGTGGAATGCGC</td>
<td>AATTAAGCCACATGCTCCGCT</td>
</tr>
<tr>
<td><italic>Candidatus</italic> &#x201C;Saccharibacteria&#x201D;</td>
<td>AAGAGAACTGTGCCTTCGG</td>
<td>GCGTAAGGGAAATACTGACC</td>
</tr>
<tr>
<td><italic>Deferribacteres</italic></td>
<td>CTATTTCCAGTTGCTAACGG</td>
<td>GAGHTGCTTCCCTCTGATTATG</td>
</tr>
<tr>
<td><italic>Verrucomicrobia</italic></td>
<td>TCAKGTCAGTATGGCCCTTAT</td>
<td>CAGTTTTYAGGATTTCCTCCGCC</td>
</tr>
<tr>
<td><italic>Tenericutes</italic></td>
<td>ATGTGTAGCGGTAAAATGCGTAA</td>
<td>CMTACTTGCGTACGTACTACT</td>
</tr>
<tr>
<td><italic>Betaproteobacteria</italic></td>
<td>AACGCGAAAAACCTTACCTACC</td>
<td>TGCCCTTTCGTAGCAACTAGTG</td>
</tr>
<tr>
<td><italic>Epsilonproteobacteria</italic></td>
<td>TAGGCTTGACATTGATAGAATC</td>
<td>CTTACGAAGGCAGTCTCCTTA</td>
</tr>
<tr>
<td><italic>Delta</italic>- and <italic>Gammaproteobacteria</italic></td>
<td>GCTAACGCATTAAGTRYCCCG</td>
<td>GCCATGCRGCACCTGTCT</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Measurement of the Number of mtDNA Damages</title>
<p>The frequency of mtDNA lesions was determined by measuring amplification efficiency of long mitochondrial fragments using Encyclo polymerase (Evrogen, PK002S, Moscow, Russia) on a Bio-Rad CFX96&#x2122; Real-Time PCR System (Bio-Rad, C1000, Hercules, CA, USA), with comparison to short reference amplicons. This approach relies on the principle that DNA lesions&#x2014;including single-strand breaks, base modifications, or adducts&#x2014;inhibit DNA polymerase progression, thereby reducing PCR product yield. Consequently, the amplification efficiency of target DNA segments shows an inverse correlation with the level of DNA damage. Specific primer panels were designed for mice, allowing amplification of approximately 2 kb fragments (<xref ref-type="table" rid="table-3">Table 3</xref>). Previous studies have demonstrated that this PCR product size is optimal for assessing the heterogeneity of damage distribution throughout the mtDNA structure. Additionally, increasing the fragment length reduces the efficiency and linearity of PCR, making result interpretation more challenging [<xref ref-type="bibr" rid="ref-26">26</xref>]. Short (&#x007E;100 bp) fragments were simultaneously amplified and used for normalizing the level of damage to the mtDNA copy number. The primers were carefully selected to minimize non-specific amplification from nuclear pseudogenes, which are abundant in mammalian nuclear DNA [<xref ref-type="bibr" rid="ref-27">27</xref>].</p>
<table-wrap id="table-3">
<label>Table 3</label>
<caption>
<title>Primer pairs used for mtDNA damage quantification through long-range PCR amplification</title>
</caption>
<table>
<colgroup>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Fragment</th>
<th>Forward primer 5<sup>&#x2032;</sup>&#x2013;3<sup>&#x2032;</sup></th>
<th>Reverse primer 5<sup>&#x2032;</sup>&#x2013;3<sup>&#x2032;</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td>12s-16s rRNA</td>
<td>TAAATTTCGTGCCAGCCACC</td>
<td>ATGCTACCTTTGCACGGTCA</td>
</tr>
<tr>
<td>16s rRNA-Nd1</td>
<td>CGAGGGTCCAACTGTCTCTTA</td>
<td>CCGGCTGCGTATTCTACGTT</td>
</tr>
<tr>
<td>Nd1-Nd2</td>
<td>CTAGCAGAAACAAACCGGGC</td>
<td>TTAGGGCTTTGAAGGCTCGC</td>
</tr>
<tr>
<td>Nd5</td>
<td>TCATTCTTCTACTATCCCCAATCC</td>
<td>TGGTTTGGGAGATTGGTTGATG</td>
</tr>
<tr>
<td>Nd6-CytB</td>
<td>TCATTCTTCTACTATCCCCAATCC</td>
<td>GGTGGGGAGTAGCTCCTTCTT</td>
</tr>
<tr>
<td>D-loop</td>
<td>AAGAAGGAGCTACTCCCCACC</td>
<td>GTTGACACGTTTTACGCCGA</td>
</tr>
<tr>
<td>Short fragment</td>
<td>CGAGGGTCCAACTGTCTCTTA</td>
<td>AGCTCCATAGGGTCTTCTCGT</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The PCR protocol consisted of an initial denaturation (95&#x00B0;C, 3 min), followed by 35 cycles of: 95&#x00B0;C for 10 s (denaturation), 59&#x00B0;C for 30 s (annealing), and 72&#x00B0;C for 4.5 min (elongation). Relative mtDNA damage was determined by comparing &#x0394;<italic>Cq</italic> values between long and short fragments (reference), with lesion frequency calculated per 10 kb using the formula:
<disp-formula id="ueqn-2"><mml:math id="mml-ueqn-2" display="block"><mml:mi>N</mml:mi><mml:mi>u</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>e</mml:mi><mml:mi>r</mml:mi><mml:mspace width="thinmathspace" /><mml:mi>o</mml:mi><mml:mi>f</mml:mi><mml:mspace width="thinmathspace" /><mml:mi>m</mml:mi><mml:mi>t</mml:mi><mml:mspace width="thinmathspace" /><mml:mi>D</mml:mi><mml:mi>N</mml:mi><mml:mi>A</mml:mi><mml:mspace width="thinmathspace" /><mml:mi>d</mml:mi><mml:mi>a</mml:mi><mml:mi>m</mml:mi><mml:mi>a</mml:mi><mml:mi>g</mml:mi><mml:mi>e</mml:mi><mml:mo>=</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:msup><mml:mn>2</mml:mn><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mo>&#x25B3;</mml:mo><mml:mi>c</mml:mi><mml:mi>q</mml:mi><mml:mspace width="thinmathspace" /><mml:mi>l</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>g</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mo>&#x25B3;</mml:mo><mml:mi>c</mml:mi><mml:mi>q</mml:mi><mml:mspace width="thinmathspace" /><mml:mi>s</mml:mi><mml:mi>h</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:msup><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x2217;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mn>10000</mml:mn><mml:mtext>&#x00A0;</mml:mtext><mml:mi>b</mml:mi><mml:mi>p</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>F</mml:mi><mml:mi>r</mml:mi><mml:mi>a</mml:mi><mml:mi>g</mml:mi><mml:mi>m</mml:mi><mml:mi>e</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mspace width="thinmathspace" /><mml:mi>l</mml:mi><mml:mi>e</mml:mi><mml:mi>n</mml:mi><mml:mi>g</mml:mi><mml:mi>h</mml:mi><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:math></disp-formula></p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Gene Expression Estimation</title>
<p>cDNA synthesis was performed using the RIVERTA-L reverse transcription kit (AmpliSens, 2008/03994, Moscow, Russia) on an Eppendorf Mastercycler personal thermocycler (Eppendorf, PF-217186, Enfield, MA, USA). Subsequent quantitative PCR analysis was carried out on a Bio-Rad CFX96&#x2122; Real-Time System with qPCRmix-HS SYBR master mix (Evrogen, PK147S, Moscow, Russia). Transcript levels were normalized to Gapdh reference gene expression and quantified according to the comparative <italic>Cq</italic> (2<sup>(&#x2212;&#x0394;&#x0394;Cq)</sup>) method. Data visualization included heatmaps generated using Bio-Rad CFX Manager software (v2.1). Primer sequences are provided in <xref ref-type="table" rid="table-4">Table 4</xref>.</p>
<table-wrap id="table-4">
<label>Table 4</label>
<caption>
<title>Primer pairs and specifications for RT-qPCR amplification of target genes</title>
</caption>
<table>
<colgroup>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Gene name</th>
<th>Forward primer 5<sup>&#x2032;</sup>&#x2013;3<sup>&#x2032;</sup></th>
<th>Reverse primer 5<sup>&#x2032;</sup>&#x2013;3<sup>&#x2032;</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td><italic>Gapdh</italic></td>
<td>GGCTCCCTAGGCCCCTCCTG</td>
<td>TCCCAACTCGGCCCCCAACA</td>
</tr>
<tr>
<td><italic>Bdnf</italic></td>
<td>AAGGACGCGGACTTGTACAC</td>
<td>CGCTAATACTGTCACACACGC</td>
</tr>
<tr>
<td><italic>FoxO1</italic></td>
<td>GGGTCTGTCTCCCTTTCCTC</td>
<td>TCAGTGGCATTCAGCAGGTA</td>
</tr>
<tr>
<td><italic>Gfap</italic></td>
<td>CAACGTTAAGCTAGCCCTGGACAT</td>
<td>CTCACCATCCCGCATCTCCACAGT</td>
</tr>
<tr>
<td><italic>Il1b</italic></td>
<td>TTGACGGACCCCAAAAGATG</td>
<td>AGAAGGTGCTCATGTCCTCA</td>
</tr>
<tr>
<td><italic>Il6</italic></td>
<td>CGGAGAGGAGACTTCACAGAG</td>
<td>CATTTCCACGATTTCCCAGA</td>
</tr>
<tr>
<td><italic>Mtor</italic></td>
<td>AGATAAGCTCACTGGTCGGG</td>
<td>GTGGTTTTCCAGGCCTCAGT</td>
</tr>
<tr>
<td><italic>Nfe2l2</italic></td>
<td>CTCTCTGAACTCCTGGACGG</td>
<td>GGGTCTCCGTAAATGGAAG</td>
</tr>
<tr>
<td><italic>Pink1</italic></td>
<td>GAGCAGACTCCCAGTTCTCG</td>
<td>GTCCCACTCCACAAGGATGT</td>
</tr>
<tr>
<td><italic>Ppargc1a</italic></td>
<td>ATGTGTCGCCTTCTTGCTCT</td>
<td>CACGACCTGTGTCGAGAAAA</td>
</tr>
<tr>
<td><italic>Ptgs2</italic></td>
<td>AGTCCGGGTACAGTCACACTT</td>
<td>TTCCAATCCATGTCAAAACCGT</td>
</tr>
<tr>
<td><italic>Sirt1</italic></td>
<td>CTGTTTCCTGTGGGATACCTGACT</td>
<td>ATCGAACATGGCTTGAGGATCT</td>
</tr>
<tr>
<td><italic>Sqstm1</italic></td>
<td>GCCAGAGGAACAGATGGAGT</td>
<td>TCCGATTCTGGCATCTGTAG</td>
</tr>
<tr>
<td><italic>Tnf</italic></td>
<td>TATGGCTCAGGGTCCAACTC</td>
<td>GGAAAGCCCATTTGAGTCCT</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Assessment of mtDNA Copy Number in the Plasma</title>
<p>Measurement and quantification of cell-free mtDNA were performed using the method described by Lindqvist et al. (2016) [<xref ref-type="bibr" rid="ref-28">28</xref>]. Blood was collected prior to the mice&#x2019;s sacrifice. The blood was centrifuged at 1700&#x00D7; <italic>g</italic> for 5 min to obtain plasma. Isolated DNA was then amplified using a pair of primers specific for amplifying a short fragment of mtDNA (<xref ref-type="table" rid="table-3">Table 3</xref>).</p>

</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Western Blot Analysis</title>
<p>Brain hemispheres were homogenized in PBS (pH 7.4) (Amresco, Am-E404-100, Solon, OH, USA). The homogenization solution also contained 1 mM of the protease inhibitor phenylmethane sulfonyl fluoride (PMSF) (Amresco, G2008-1ML, Solon, OH, USA). The concentration of proteins in the samples was determined using the bicinchoninic acid assay (Sigma, 12352106, St. Louis, MO, USA). The brain homogenate samples were applied to Tris-glycine polyacrylamide gels with a gradient composition of 5%&#x2013;20%. Each lane of the gels contained a total of 10 &#x00B5;g of protein. Following electrophoretic separation, proteins were transferred to PVDF membranes (Amersham Pharmacia Biotech, 41105339, Amersham, Buckinghamshire, UK) using standard wet transfer conditions. Membranes were subsequently blocked with 5% non-fat dry milk (SERVA, HS: 04021019, Heidelberg, Germany) in PBST with 0.05% Tween-20 (Panreac, 556608.0922, Barcelona, Spain) for 1 h at room temperature, followed by overnight incubation with primary antibodies at 4&#x00B0;C (<xref ref-type="table" rid="table-5">Table 5</xref>).</p>
<table-wrap id="table-5">
<label>Table 5</label>
<caption>
<title>Primary antibodies used for Western blotting</title>
</caption>
<table>
<colgroup>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th align="center">Target and source</th>
<th align="center">Manufacturer</th>
<th align="center">Cat. number</th>
<th align="center">Dilution used</th>
</tr>
</thead>
<tbody>
<tr>
<td>Beta-actin Ms</td>
<td>Sigma, St. Louis, MO, USA</td>
<td>A2228</td>
<td>1:2000</td>
</tr>
<tr>
<td>Beta-amyloid Rb mAb</td>
<td>Cell Signaling Technology, Danvers, MA, USA</td>
<td>8243P</td>
<td>1:2000</td>
</tr>
<tr>
<td>Amyloid Precursor Protein (APP) Rb</td>
<td>Thermo Fisher Scientific, Waltham, MA, USA</td>
<td>PA5-16730</td>
<td>1:500</td>
</tr>
<tr>
<td>NFkB p50 Rb</td>
<td>Santa Cruz Biotech, Dallas, TX, USA</td>
<td>Sc-114</td>
<td>1:1000</td>
</tr>
<tr>
<td>Nrf2 Rb</td>
<td>Abcam, Cambridge, UK</td>
<td>Ab137550</td>
<td>1:1500</td>
</tr>
<tr>
<td>AKT Rb</td>
<td>Cell Signaling Technology, Danvers, MA, USA</td>
<td>9272</td>
<td>1:1000</td>
</tr>
<tr>
<td>p-AKT Rb</td>
<td>Cell Signaling Technology, Danvers, MA, USA</td>
<td>4060</td>
<td>1:500</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Following primary antibody incubation, membranes were probed for 1 h at 36&#x00B0;C with species-specific HRP-conjugated secondary antibodies (anti-rabbit IgG (P-GAR Iss) or anti-mouse IgG (P-GAM Iss), 1:5000 dilution; IMTEK, Russia). Protein bands were detected using Advansta Western Bright&#x2122; ECL substrate (K-12045-C20, San Jose, CA, USA) and imaged on a Bio-Rad V3 Western Blot Imager system (Bio-Rad, Hercules, CA, USA). Quantitative analysis was performed using Bio-Rad&#x2019;s Image Lab software for densitometric measurements. B-actin was used as an internal control. Graphs show the signal intensity of bands.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Statistical Analysis</title>
<p>Data analysis was performed using Statistica 12 (StatSoft, Tulsa, OK, USA), with results expressed as mean &#x00B1; SEM. A minimum of six biological replicates were used for physiological experiments, mtDNA damage assessments, and gut microbiome analyses, while Western blotting experiments included at least three technical replicates. Intergroup comparisons were analyzed using the Kruskal-Wallis non-parametric test, with a statistical significance threshold set at <italic>p</italic> &#x003C; 0.05.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>The Effect of Resveratrol on the Cognitive Functions of APP/PS1 Mice</title>
<p>Spatial memory retention was evaluated by quantifying platform search time and path length during probe trials conducted on days 6 and 12, following a 5-day acquisition training period in the Morris water maze. On the 6th day of testing, APP/PS1 mice spent 78% more time searching for the platform compared to wild-type mice. On the 12th day, transgenic mice spent 75% more time searching, but the differences were not statistically significant (<xref ref-type="fig" rid="fig-1">Fig. 1</xref>). On the 6th test day, the APP/PS1 mice swam a distance 7 times greater than the C57BL/6 mice of the same age (<italic>p</italic> &#x003C; 0.001). It is worth noting that the differences in the distance covered while searching for the platform between the C57BL/6 mice and the APP/PS1 mice that received resveratrol for 4 months were not statistically significant (<italic>p</italic> &#x003D; 0.051), which may indicate partial improvement in cognitive functions compared to the control transgenic mice. On the 12th test day, the APP/PS1 mice swam a distance 4 times greater than the control C57BL/6 mice (<italic>p</italic> &#x003C; 0.05) (<xref ref-type="fig" rid="fig-2">Fig. 2A</xref>). Representative trajectories of mice for each experimental group on the 6th and 12th testing days are presented in <xref ref-type="fig" rid="fig-2">Fig. 2B</xref>.</p>
<fig id="fig-1">
<label>Figure 1</label>
<caption>
<title>Values of long-term spatial memory in wild-type C57BL/6 mice, transgenic APP/PS1 mice, and transgenic mice administered resveratrol. Time spent by mice searching for the platform during training days from the 1st to 5th day and from 7th to 11th day, as well as during test days 6th and 12th. Control C57BL/6 (<italic>n</italic> &#x003D; 7), control (APP/PS1) (<italic>n</italic> &#x003D; 7), resveratrol (APP/PS1) (<italic>n</italic> &#x003D; 6). Significance of differences between groups: &#x002A;<italic>p</italic> &#x003C; 0.05 (Kruskal-Wallis test)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f001.tif"/>
</fig><fig id="fig-2">
<label>Figure 2</label>
<caption>
<title>Values of long-term spatial memory in wild-type C57BL/6 mice, transgenic APP/PS1 mice, and transgenic mice administered resveratrol. The distance covered by mice in search of the platform during training days from the 1st to 5th day and from 7th to 11th day, as well as during test days 6th and 12th. Control C57BL/6 (<italic>n</italic> &#x003D; 7), control (APP/PS1) (<italic>n</italic> &#x003D; 7), resveratrol (APP/PS1) (<italic>n</italic> &#x003D; 6) <bold>(A)</bold>. Representative behavioral trajectory during test attempts <bold>(B)</bold>. Significance of differences 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 (Kruskal-Wallis test)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f002a.tif"/>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f002b.tif"/>
</fig>
<p>The analysis of the training days yields inconclusive findings. The analysis of the time spent searching for the platform revealed that on the 10th training day, the APP/PS1 mice spent twice as much time as the control C57BL/6 mice of the same age (<italic>p</italic> &#x003C; 0.05). However, no statistically significant differences were observed between the resveratrol-treated APP/PS1 mice and the wild-type mice (<xref ref-type="fig" rid="fig-1">Fig. 1</xref>), partially confirming the hypothesis that resveratrol mitigates cognitive deficits in transgenic mice. On one hand, the distance covered in search of the platform by the resveratrol-treated APP/PS1 mice did not differ from the control C57BL/6 mice on the 2nd and 5th training days, whereas differences were observed between the control C57BL/6 and APP/PS1 mice (<xref ref-type="fig" rid="fig-2">Fig. 2</xref>). On the other hand, the opposite results were observed on the 9th, 10th, and 11th days, where the resveratrol-treated APP/PS1 mice swam a greater distance in search of the platform compared to the control mice of the same mutant genotype.</p>

</sec>
<sec id="s3_2">
<label>3.2</label>
<title>The Amount of mtDNA Damage in Different Brain Regions</title>
<p>MtDNA damage, serving as a biomarker of oxidative stress, demonstrated significant regional variations in APP/PS1 mice compared to C57BL/6 controls. The cerebellum exhibited the most pronounced damage increase (2.3-fold, <italic>p</italic> &#x003C; 0.001), followed by the ventral midbrain (&#x002B;57%, <italic>p</italic> &#x003C; 0.05) and prefrontal cortex (&#x002B;24%, <italic>p</italic> &#x003C; 0.05). Resveratrol treatment specifically reduced cortical mtDNA damage by 50% in APP/PS1 mice (<italic>p</italic> &#x003C; 0.05), while showing no significant protective effects in other examined brain regions. These results highlight both the region-specific vulnerability to oxidative stress in AD-model mice and the selective neuroprotective capacity of resveratrol (<xref ref-type="fig" rid="fig-3">Fig. 3</xref>).</p>
<fig id="fig-3">
<label>Figure 3</label>
<caption>
<title>Comparison of the amount of mtDNA damage in different brain regions between C57BL/6 and APP/PS1 mice, as well as mice receiving resveratrol. Control C57BL/6 (<italic>n</italic> &#x003D; 7), control (APP/PS1) (<italic>n</italic> &#x003D; 7), resveratrol (APP/PS1) (<italic>n</italic> &#x003D; 6). Significance of differences between groups: &#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001 (Kruskal-Wallis test)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>The Effect of Resveratrol on Amyloidogenesis</title>
<p>We determined that both experimental groups of 10-month-old APP/PS1 mice exhibited a 44%&#x2013;50% higher level of amyloid precursor protein (APP) compared to age-matched C57BL/6 mice. Resveratrol did not influence the level of APP in the cortex of transgenic mice (<xref ref-type="fig" rid="fig-4">Fig. 4A</xref>). In 10-month-old APP/PS1 mice, the level of amyloid-&#x03B2; was 6.7 times higher than in C57BL/6 mice of the same age. In transgenic mice that received resveratrol, the amount of amyloid-&#x03B2; increased by 5.8 times (<italic>p</italic> &#x003C; 0.001). Therefore, resveratrol reduced the levels of amyloid-&#x03B2; by 15%, although the differences were not statistically significant between the experimental groups of transgenic mice (<xref ref-type="fig" rid="fig-4">Fig. 4B</xref>).</p>
<fig id="fig-4">
<label>Figure 4</label>
<caption>
<title>In 10-month-old APP/PS1 mice, there was an increased level of amyloid-&#x03B2; and its precursor APP, regardless of resveratrol treatment. <bold>(A)</bold> The representative western blot results for APP and relative units are presented, normalized to b-actin signal. <bold>(B)</bold> The representative western blot results for amyloid-&#x03B2; and relative units are presented, normalized to &#x03B2;-actin signal. The number of repetitions was at least 3. Significance of differences 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 (Kruskal-Wallis test)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>The Effect of Mutant Genotype and Resveratrol on the Levels of Inflammatory Markers</title>
<p>We observed a significant increase in the expression of <italic>Il6</italic> and <italic>Tnf</italic> genes&#x2014;classical markers of inflammation, in the prefrontal cortex of APP/PS1 mice. Within the same gene cluster, <italic>Ptgs2</italic>, which encodes prostaglandin-endoperoxide synthase, a key marker of inflammation, was also localized. Its level in the cortex of APP/PS1 mice was three times higher compared to C57BL/6 mice. Additionally, the expression level of <italic>Gfap</italic>, a marker of astrocyte status, was significantly increased in the brains of APP/PS1 mice. Mice receiving resveratrol showed lower expression levels of <italic>Gfap</italic>, <italic>Il6</italic>, <italic>Tnf</italic>, and <italic>Ptgs2</italic> compared to control mice of the same genotype, with reductions of 2.1, 3.4, 6.7, and 6-fold, respectively. However, the expression level of <italic>Il1b</italic> did not correlate with the expression levels of the other pro-inflammatory markers and was localized in a different gene cluster (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>).</p>
<fig id="fig-5">
<label>Figure 5</label>
<caption>
<title>In 10-month-old APP/PS1 mice, there was an increase in pro-inflammatory markers, while resveratrol contributed to a reduction in inflammation. <bold>(A)</bold> Heatmap of gene expression in the prefrontal cortex. The expression of genes associated with inflammation (<italic>Il1b, Il6, Ptgs2, Tnf, Gfap</italic>), genes involved in maintaining mitochondrial quality control (<italic>Foxo1, Ppargc1a, Sirt1, Nfe2l2, Pink1, Sqstm1</italic>), and signaling through the Bdnf-mTORC1 pathway was evaluated. <bold>(B)</bold> Level of extracellular mtDNA in plasma. <bold>(C)</bold> The representative Western blot results for NF-&#x03BA;B-p50, with relative units presented normalized to the &#x03B2;-actin signal. The number of repetitions was at least 3. Significance of differences between groups: &#x002A;<italic>p</italic> &#x003C; 0.05 (Kruskal-Wallis test)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f005.tif"/>
</fig>
<p>We also measured the level of extracellular mtDNA in the plasma as a pro-inflammatory marker. In 10-month-old APP/PS1 transgenic mice, the amount of extracellular mtDNA was three times higher compared to C57BL/6 mice of the same age (<italic>p</italic> &#x003C; 0.05). However, in mice with the mutant genotype receiving resveratrol, the level of cell-free circulating mtDNA was comparable to that of control C57BL/6 mice (<xref ref-type="fig" rid="fig-5">Fig. 5B</xref>). The Level of NF-&#x03BA;B protein subunit was unchanged in the brain of transgenic mice (<xref ref-type="fig" rid="fig-5">Fig. 5C</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>The Effect of Genotype and Resveratrol on the Expression Levels of Nrf2/ARE and PI3K/AKT/mTORC1 Signaling Genes</title>
<p>The expression level of the <italic>Nfe2l2</italic> gene was significantly reduced in control APP/PS1 mice compared to wild-type mice of the same age. The expression level of the <italic>Nfe2l2</italic> gene was comparable to that of C57BL/6 mice in APP/PS1 mice receiving resveratrol (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>). Western blot analysis confirmed the gene expression data. The protein level of NRF2 in control APP/PS1 mice was 18% lower compared to wild-type mice (<italic>p</italic> &#x003C; 0.05). The protein level of NRF2 in mice receiving resveratrol did not increase compared to control APP/PS1 mice, but there were no statistically significant differences compared to C57BL/6 mice (<xref ref-type="fig" rid="fig-6">Fig. 6A</xref>). The expression of mitophagy-related genes <italic>Pink1</italic> and <italic>Sqstm1</italic> was approximately twofold higher in the frontal cortex of control APP/PS1 mice compared to wild-type mice. However, in transgenic mice receiving resveratrol, the expression level of these genes was not increased (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>).</p>
<fig id="fig-6">
<label>Figure 6</label>
<caption>
<title>In APP/PS1 mice, a decrease in NRF2 protein was observed, while resveratrol facilitated an increase in AKT phosphorylation. The representative Western blot results for NRF2 <bold>(A)</bold>, AKT, and pAKT <bold>(B)</bold> are presented, with relative units normalized to the &#x03B2;-actin signal. The number of repetitions was at least 3. Significance of differences between groups: &#x002A;<italic>p</italic> &#x003C; 0.05 (Kruskal-Wallis test)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f006.tif"/>
</fig>
<p><italic>Ppargc1a, Sirt1, Foxo1, Mtor</italic>, and <italic>Bdnf</italic> genes were also clustered with the <italic>Nfe2l2</italic> gene. Its expression was increased in the group of transgenic mice receiving resveratrol, except for <italic>Bdnf</italic> (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>). Western blot analysis of AKT and phosphorylated AKT (pAKT) protein levels was performed to assess PI3K/AKT/mTORC1 pathway activation. While total AKT expression showed no significant differences between experimental groups, a non-significant increasing trend was observed in APP/PS1 control mice compared to wild-type (C57BL/6) animals. Notably, resveratrol-treated APP/PS1 mice exhibited significantly elevated pAKT levels relative to C57BL/6 controls (<italic>p</italic> &#x003C; 0.05), indicating enhanced pathway activation following treatment. These results demonstrate that resveratrol specifically modulates AKT phosphorylation status without affecting total AKT protein abundance (<xref ref-type="fig" rid="fig-6">Fig. 6B</xref>).</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Bacterial Composition of the Gut Microbiome</title>
<p>The phyla <italic>Bacteroidetes</italic> and <italic>Firmicutes</italic> accounted for 93% to 95% of the total bacterial population in the mouse gut microbiome across all experimental groups. While resveratrol contributed to a shift in the <italic>Bacteroidetes/Firmicutes</italic> ratio towards an increase in <italic>Firmicutes</italic> levels, the differences were not statistically significant (<xref ref-type="fig" rid="fig-7">Fig. 7A</xref>). Among the minor phyla, it is worth noting a significant increase in <italic>Proteobacteria</italic> levels in the microbiome of APP/PS1 mice compared to C57BL/6 mice. However, in APP/PS1 mice receiving resveratrol, the level of <italic>Proteobacteria</italic> was decreased (<xref ref-type="fig" rid="fig-7">Fig. 7A,B</xref>).</p>
<fig id="fig-7">
<label>Figure 7</label>
<caption>
<title>The level of <italic>Proteobacteria</italic> was higher in APP/PS1 mice compared to C57BL/6 mice, while resveratrol contributed to a reduction in their abundance. Changes in the level of dominant and minor phyla of bacteria <bold>(A)</bold> and <italic>Proteobacteria</italic> levels <bold>(B)</bold> in C57BL/6 and APP/PS1 mice receiving either water or resveratrol. Control C57BL/6 (<italic>n</italic> &#x003D; 7), control (APP/PS1) (<italic>n</italic> &#x003D; 7), resveratrol (APP/PS1) (<italic>n</italic> &#x003D; 6)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Discussion</title>
<p>Neuronal inflammation is one of the characteristic features of AD pathogenesis. Chronic neuroinflammation observed in the brains of patients with AD can be attributed to activated microglial cells and the release of numerous cytokines [<xref ref-type="bibr" rid="ref-29">29</xref>,<xref ref-type="bibr" rid="ref-30">30</xref>]. Over the past decade, a substantial amount of experimental and clinical data has been obtained, indicating the involvement of inflammation in the pathogenesis of AD. Pro-inflammatory cytokine analysis revealed significantly elevated levels of IL-1, IL-6, TNF-&#x03B1;, and IL-18 in AD model systems compared to controls [<xref ref-type="bibr" rid="ref-31">31</xref>&#x2013;<xref ref-type="bibr" rid="ref-34">34</xref>]. We found that the expression of <italic>Il-6</italic> and <italic>Tnf</italic> genes was significantly increased in the prefrontal cortex of APP/PS1 mice (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>). In the same gene cluster, we identified <italic>Ptgs2</italic> (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>), encoding cyclooxygenase-2, a crucial marker of inflammation [<xref ref-type="bibr" rid="ref-35">35</xref>]. Furthermore, the expression level of <italic>Gfap</italic>, a key biomarker for astrocytic activity and central nervous system (CNS) integrity [<xref ref-type="bibr" rid="ref-36">36</xref>], was significantly increased in the brains of APP/PS1 mice (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>). The expression of these pro-inflammatory factors is regulated by the NF-&#x03BA;B signaling pathway. However, we did not observe an increase in the level of p50, a subunit of NF-&#x03BA;B (<xref ref-type="fig" rid="fig-5">Fig. 5C</xref>). Although previous studies have shown an increase in the phosphorylated form of p65 (another subunit of NF-&#x03BA;B) in the brains of APP/PS1 mice [<xref ref-type="bibr" rid="ref-37">37</xref>,<xref ref-type="bibr" rid="ref-38">38</xref>]. It is likely that assessing the level of p65 is a more indicative marker of inflammatory pathway activation through the NF-&#x03BA;B signaling.</p>
<p>Previously, it has been shown that resveratrol can partially prevent the development of age-related cognitive dysfunction by reducing microglial activation [<xref ref-type="bibr" rid="ref-39">39</xref>]. In our study, resveratrol decreased the expression levels of the inflammatory markers, confirming its anti-inflammatory role (<xref ref-type="fig" rid="fig-5">Fig. 5C</xref>). Moreover, when transgenic mice were given resveratrol, the amount of the cell-free mtDNA in blood plasma was similar to that of wild-type control mice (<xref ref-type="fig" rid="fig-5">Fig. 5B</xref>). It is known that cell-free circulating mtDNA can act as a mediator of inflammatory processes. MtDNA functions as a damage-associated molecular pattern (DAMP) that can activate innate immune DNA sensors. When released during cellular or tissue damage, mtDNA serves as a potent signaling molecule that triggers inflammatory responses [<xref ref-type="bibr" rid="ref-40">40</xref>]. Levels of certain inflammatory markers, such as TNF&#x03B1; and Il6, are correlated with the level of extracellular mtDNA [<xref ref-type="bibr" rid="ref-40">40</xref>]. Multiple clinical studies have established a significant correlation between elevated circulating mtDNA concentrations and adverse clinical outcomes in acute respiratory distress syndrome (ARDS) patients, including increased mortality rates and prolonged ventilator dependence, sepsis [<xref ref-type="bibr" rid="ref-41">41</xref>], and COVID-19 [<xref ref-type="bibr" rid="ref-42">42</xref>]. Therefore, we observed an elevated level of cell-free mtDNA in the plasma of APP/PS1 mice, while resveratrol resulted in a significant reduction of its level (<xref ref-type="fig" rid="fig-5">Fig. 5B</xref>), further confirming its anti-inflammatory properties. The significant increase in <italic>Proteobacteria</italic> levels in the gut microbiome of APP/PS1 mice (<xref ref-type="fig" rid="fig-7">Fig. 7</xref>) further confirms the fact that inflammatory processes are more intense in transgenic mice compared to C57BL/6 mice. Increased levels of <italic>Proteobacteria</italic> are usually associated with dysbiosis, which is often linked to an elevation of pro-inflammatory markers due to disruption of the gut barrier function [<xref ref-type="bibr" rid="ref-43">43</xref>]. However, the level of <italic>Proteobacteria</italic> in resveratrol-treated APP/PS1 mice was equivalent to that of C57BL/6 mice (<xref ref-type="fig" rid="fig-7">Fig. 7</xref>). Previous studies have demonstrated that resveratrol can reduce <italic>Proteobacteria</italic> levels in mice with induced obesity [<xref ref-type="bibr" rid="ref-44">44</xref>]. This suggests that the reduction in <italic>Proteobacteria levels</italic> could be considered as a result of the anti-inflammatory action of resveratrol.</p>
<p>It is known that resveratrol can activate the Nrf2/ARE signaling pathway [<xref ref-type="bibr" rid="ref-45">45</xref>]. We found that the transcript and protein Nrf2 level were decreased in 10-month-old APP/PS1 mice compared to wild-type mice of the same age (<xref ref-type="fig" rid="fig-5">Figs. 5A</xref> and <xref ref-type="fig" rid="fig-6">6A</xref>). Previous studies have also demonstrated that the Nrf2/ARE pathway is attenuated in the brains of APP/PS1 transgenic mice during amyloid-&#x03B2; plaque deposition [<xref ref-type="bibr" rid="ref-46">46</xref>]. Downregulation of Nrf2/ARE signaling has also been observed in the brains of patients with AD [<xref ref-type="bibr" rid="ref-47">47</xref>]. This decrease may be associated with inflammatory processes. It is known that certain inflammatory cytokines, such as TNF-&#x03B1;, have a bidirectional effect on Nrf2/ARE signaling. Excessive production of TNF-&#x03B1; reduces the expression of antioxidant genes by inhibiting Nrf2/ARE signaling, while at lower concentrations, this pro-inflammatory cytokine is associated with Nrf2 activation [<xref ref-type="bibr" rid="ref-48">48</xref>].</p>
<p>The Nrf2/ARE signaling pathway is closely associated with maintaining the integrity of mtDNA. Nrf2 regulates the expression of many antioxidant proteins targeted to mitochondria [<xref ref-type="bibr" rid="ref-49">49</xref>], as well as genes involved in mitochondrial turnover [<xref ref-type="bibr" rid="ref-50">50</xref>], mtDNA repair [<xref ref-type="bibr" rid="ref-51">51</xref>], and enzymes for detoxification of drugs and xenobiotics [<xref ref-type="bibr" rid="ref-52">52</xref>], which are often targeted to mitochondria and mtDNA [<xref ref-type="bibr" rid="ref-53">53</xref>,<xref ref-type="bibr" rid="ref-54">54</xref>]. Indeed, we found that the ventral midbrain, cerebellum, and prefrontal cortex of APP/PS1 mice had significantly more mtDNA damage compared to C57BL/6 mice (<xref ref-type="fig" rid="fig-3">Fig. 3</xref>). Similar findings were obtained in post-mortem brain analyses of patients with AD. It has been shown that the number of oxidized bases, particularly 8-oxoguanine, was approximately ten times higher in patients with AD compared to control patients. Specifically, mtDNA had ten times more oxidative damage than nuclear DNA [<xref ref-type="bibr" rid="ref-55">55</xref>]. In the cortex of patients up to 75 years old, the amount of mtDNA deletions was fifteen times higher than in healthy individuals of the same age. Interestingly, in patients over 75 years old, the level of deletions was slightly lower than in the control group [<xref ref-type="bibr" rid="ref-56">56</xref>]. Subsequently, it was revealed that deletions in mtDNA caused a deficiency of cytochrome <italic>c</italic> oxidase in the hippocampus of patients with AD [<xref ref-type="bibr" rid="ref-57">57</xref>]. It is worth noting that no increase in mtDNA damage was observed in the hippocampus (<xref ref-type="fig" rid="fig-3">Fig. 3</xref>). This suggests that alterations in mtDNA integrity are not the primary cause of cognitive function impairments in the AD model.</p>

<p>In transgenic mice treated with resveratrol, the level of mtDNA damage in the prefrontal cortex was reduced (<xref ref-type="fig" rid="fig-3">Fig. 3</xref>). It is known that resveratrol induces conformational changes in SIRT1, which affect its activity and specificity towards acetylated substrates [<xref ref-type="bibr" rid="ref-58">58</xref>]. SIRT1, in turn, deacetylates Nrf2, leading to its activation [<xref ref-type="bibr" rid="ref-59">59</xref>]. Several studies have demonstrated that the regulation of Nrf2 and SIRT1 is bidirectional. Under conditions of depressive-like behavior induced by systemic inflammation with lipopolysaccharides, melatonin reduced the level of inflammation and oxidative stress in mitochondria. The addition of siRNA targeting both Nrf2 and SIRT1 neutralized the positive effects of melatonin [<xref ref-type="bibr" rid="ref-60">60</xref>]. Earlier studies have shown that Nrf2 positively influences the deacetylase activity of SIRT1 towards proteins such as fibronectin (FN) and transforming growth factor-&#x03B2;1 (TGF-&#x03B2;1) [<xref ref-type="bibr" rid="ref-61">61</xref>]. It has not been previously explored whether Nrf2 can increase the expression of the <italic>Sirt1</italic> gene. Computational analysis using FIMO (<italic>p</italic> value threshold &#x003C; 1 &#x00D7; 10<sup>&#x2212;5</sup>) identified a high-probability antioxidant response element (ARE) at position &#x2212;9407/&#x2212;9393 bp relative to the <italic>Sirt1</italic> transcription start site, with a statistically significant match (<italic>p</italic> &#x003C; 0.00001) to the canonical ARE consensus sequence. The fact that the expression of <italic>Nfe2l2</italic> and <italic>Sirt1</italic> genes (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>) was found in the same cluster suggests the existence of a feedback loop in which <italic>Sirt1</italic> expression depends on Nrf2/ARE signaling.</p>

<p>Resveratrol is also associated with other signaling pathways that may be involved in protecting mitochondria and mtDNA. SIRT1-mediated deacetylation of PGC-1&#x03B1; serves as a critical regulatory mechanism governing metabolic homeostasis and mitochondrial biogenesis, facilitating the restoration of mitochondrial function under stress conditions [<xref ref-type="bibr" rid="ref-62">62</xref>]. Resveratrol-induced activation of SIRT1 can initiate antioxidant pathways through the SIRT1/FOXO1 axis [<xref ref-type="bibr" rid="ref-63">63</xref>]. Notably, all these genes (<italic>Nfe2l2</italic>, <italic>Sirt1</italic>, <italic>Pparagc1a</italic>, <italic>Foxo1</italic>) are clustered together, and their expression is downregulated in APP/PS1 mice, which is partially reversed by resveratrol in the brain (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>). The <italic>Mtor</italic> gene is also located in this cluster, and its product is a core component of the mTORC1 complex. The mTORC1 complex is responsible for ribosome assembly and protein synthesis, which are necessary for the formation of new neuronal connections that underlie long-term memory formation [<xref ref-type="bibr" rid="ref-64">64</xref>], which may explain the partial improvement in memory observed in transgenic mice treated with resveratrol (<xref ref-type="fig" rid="fig-1">Figs. 1</xref> and <xref ref-type="fig" rid="fig-2">2</xref>). Another indicator supporting this hypothesis is the increased level of phosphorylated AKT (<xref ref-type="fig" rid="fig-6">Fig. 6B</xref>). The PI3K/AKT signaling pathway stimulates mTORC1 activity by inhibiting tuberous sclerosis complex 2 (TSC2), a negative regulator of mTORC1 [<xref ref-type="bibr" rid="ref-65">65</xref>]. The total level of AKT remained unchanged, but the level of phosphorylated AKT was increased (<xref ref-type="fig" rid="fig-6">Fig. 6B</xref>), confirming the idea that resveratrol activates the PI3K/AKT/mTORC1 axis. Previous data on the role of resveratrol in activating the PI3K/AKT/mTORC1 axis have been somewhat contradictory. In some studies, it has been shown that resveratrol inhibits the phosphorylation of AKT, but these results were mostly obtained in tumor tissues [<xref ref-type="bibr" rid="ref-66">66</xref>&#x2013;<xref ref-type="bibr" rid="ref-68">68</xref>]. On the other hand, resveratrol can activate the PI3K/AKT/mTORC1 axis in models of cardiac ischemic diseases [<xref ref-type="bibr" rid="ref-69">69</xref>] and Parkinson&#x2019;s disease [<xref ref-type="bibr" rid="ref-70">70</xref>]. Additionally, there is cross-talk between the PI3K/AKT and Nrf2/ARE signaling pathways through the inhibition of GSK3&#x03B2;. Previous studies have shown downregulation of these signaling pathways in the AD pathogenesis [<xref ref-type="bibr" rid="ref-71">71</xref>].</p>

<p>However, the activation of the PI3K/AKT/mTORC1 pathway may have negative consequences in the context of potential AD therapy. The mTORC1 complex inhibits the process of autophagy by suppressing autophagic membrane formation [<xref ref-type="bibr" rid="ref-72">72</xref>]. Nevertheless, autophagy is crucial for amyloid-&#x03B2; clearance. In recent years, it has been suggested that inhibition of mTORC1 could serve as a therapeutic approach for AD by promoting autophagy and removing amyloid-&#x03B2; [<xref ref-type="bibr" rid="ref-73">73</xref>]. Indeed, we observed partial improvement in cognitive function of APP/PS1 mice treated with resveratrol (<xref ref-type="fig" rid="fig-1">Figs. 1</xref> and <xref ref-type="fig" rid="fig-2">2</xref>). At the same time, resveratrol only contributed to a 15% reduction in the accumulation of amyloid-&#x03B2; in the brains of mice (<xref ref-type="fig" rid="fig-4">Fig. 4B</xref>). Additionally, APP/PS1 mice treated with resveratrol showed reduced expression of <italic>Sqstm1</italic> and <italic>Pink1</italic> compared to untreated mice of the same genotype (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>). The mentioned proteins are key participants in mitophagy, which is a specific type of autophagy. Mitophagy is also crucial for the removal of dysfunctional mitochondria, which are affected in AD [<xref ref-type="bibr" rid="ref-74">74</xref>].</p>

<p>The principal limitation of our study resides in the insufficient examination of the resveratrol-associated mechanisms pertaining to amyloid-&#x03B2;. Our investigation predominantly concentrated on the mTORC1-dependent regulatory pathway of autophagy, while alternative pathways involved in the clearance of amyloid-&#x03B2; were not explored within the scope of this experiment.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Conclusions</title>
<p>Therefore, due to the potential mTORC1-dependent inhibition of autophagy, resveratrol only slightly contributed to the reduction of amyloid-&#x03B2; levels. However, the observed resveratrol-induced amelioration of cognitive deficits in the AD model may be attributed to the activation of the PI3K/AKT/mTORC1 and Nrf2/ARE signaling pathways, which directly participate in the formation of long-term memory and the mitigation of mitochondrial dysfunction (<xref ref-type="fig" rid="fig-8">Fig. 8</xref>). Thus, we believe that the use of resveratrol may modulate cognitive properties not only in the context of Alzheimer-type dementias but potentially also in other memory disorders.</p>
<fig id="fig-8">
<label>Figure 8</label>
<caption>
<title>A hypothetical model of the effect of resveratrol on signaling pathways in the brain of APP/PS1 mice. Resveratrol may lead to the activation of SIRT1, which is associated with a range of other signaling pathways. The PI3K/Akt/mTORC1 pathway is linked to the improvement of long-term potentiation but also the suppression of autophagy, resulting in a slowdown of amyloid-&#x03B2; clearance. The deacetylation of PGC-1&#x03B1; may induce an increase in mitochondrial biogenesis, while FoxO1 may enhance antioxidant defense. SIRT-1 dependent activation of Nrf2 is also associated with increased antioxidant protection and forms feedback loops with PGC-1&#x03B1; and SIRT1, which could be connected to mTORC1 activation</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="Biocell-49-63557-f008.tif"/>
</fig>
</sec>
</body>
<back>
<ack>
<p>None.</p>
</ack>
<sec>
<title>Funding Statement</title>
<p>This work was supported by the Russian science foundation (grant #22-74-00115 to A.P.G.).</p>
</sec>
<sec>
<title>Author Contributions</title>
<p>Study conception and design: Artem P. Gureev, Egor Y. Plotnikov; data collection: Irina S. Sadovnikova, Ekaterina V. Chernyshova, Ekaterina P. Krutskikh, Irina B. Pevzner, Ljubava D. Zorova, Veronika V. Nesterova, Polina I. Babenkova; analysis and interpretation of results: Artem P. Gureev, Irina S. Sadovnikova, Irina B. Pevzner; draft manuscript preparation: Artem P. Gureev, Egor Y. Plotnikov. All authors reviewed the results and approved the final version of the manuscript.</p>
</sec>
<sec sec-type="data-availability">
<title>Availability of Data and Materials</title>
<p>Data available on request from the authors.</p>
</sec>
<sec>
<title>Ethics Approval</title>
<p>The study was conducted in accordance with the ARRIVE guidelines, and approved by the ethical commission of the Voronezh State University (Section of Animal Care and Use, 94 protocol 42-03 of October 8, 2020).</p>
</sec>
<sec sec-type="COI-statement">
<title>Conflicts of Interest</title>
<p>The authors declare no conflicts of interest to report regarding the present study.</p>
</sec>
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