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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
</journal-title-group>
<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.2025.1733469</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Investigating the impact of aspartame on Alzheimer&#x2019;s disease through network toxicology and molecular docking</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Ge</surname><given-names>Lili</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname><given-names>Haitao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Jianxin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2292292"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname><given-names>Linlin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1621842"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Ma</surname><given-names>Lei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jin</surname><given-names>Zhi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2589721"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Department of Traditional Chinese Medicine, The Second Qilu Hospital of Shandong University</institution>, <city>Jinan</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Neurology, The Second Qilu Hospital of Shandong University</institution>, <city>Jinan</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Pharmacy, Shanghe County People's Hospital</institution>, <city>Jinan</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Zhi Jin, <email xlink:href="mailto:zhijinsdey@163.com">zhijinsdey@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-09">
<day>09</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1733469</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>16</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Ge, Sun, Zhang, Xu, Ma and Jin.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Ge, Sun, Zhang, Xu, Ma and Jin</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-09">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec id="sec80">
<title>Introduction</title>
<p>Alzheimer&#x2019;s disease (AD) is a prevalent neurodegenerative disorder, and the relationship between its pathogenesis and environmental factors has garnered increasing scholarly interest. Aspartame, a widely utilized artificial sweetener, has potential neurotoxic effects that remain incompletely understood. This study employs network toxicology and molecular docking to speculate on the potential molecular mechanisms by which aspartame is involved in the pathological process of AD.</p>
</sec>
<sec id="sec81">
<title>Methods</title>
<p>By integrating data from multiple databases, including ChEMBL, SwissTargetPrediction, OMIM, and GeneCards, we obtained the shared targets of aspartame and AD. A protein&#x2013;protein interaction (PPI) network was constructed using the STRING database and Cytoscape software to discern the core targets. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed via the DAVID database, and molecular docking validation of the core targets was conducted using AutoDock Vina.</p>
</sec>
<sec id="sec82">
<title>Results</title>
<p>In this study, a total of 298 targets associated with aspartame and 2,042 targets related to AD were identified. Seventy-five common targets were discovered, with BCL2, PPARG, TNF, IL1&#x03B2;, MAPK3, ESR1, and CASP3 were hypothesized as key core targets. GO functional analysis indicated that these targets are predominantly involved in biological processes such as protein metabolism, neuroinflammation, apoptosis, and oxidative stress. Furthermore, KEGG pathway analysis revealed significant enrichment in pathways TNF signaling, MAPK signaling, and PI3K-Akt signaling, among others. Molecular docking studies have shown that aspartame has A certain binding affinity with some core targets.</p>
</sec>
<sec id="sec83">
<title>Discussion</title>
<p>It is speculated that aspartame may be involved in the key pathological processes of AD through multi-target and multi-pathway mechanisms, including neuroinflammation, apoptosis and amyloid-beta (A&#x03B2;) metabolism. This computational study speculates that aspartame, as an environmental exposure factor, is involved in the potential molecular mechanism of AD pathogenesis, thereby providing a theoretical basis for evaluating its neurotoxicity. Further experimental studies are needed in the future to confirm its biological effects.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Alzheimer&#x2019;s disease</kwd>
<kwd>aspartame</kwd>
<kwd>molecular docking</kwd>
<kwd>network toxicology</kwd>
<kwd>neurotoxicity</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="13"/>
<word-count count="7309"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition, Psychology and Brain Health</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Alzheimer&#x2019;s disease (AD) is a progressive neurodegenerative disorder marked by cognitive decline and abnormal behavior (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>). By 2024, an estimated 6.9 million Americans aged 65 and older will have Alzheimer&#x2019;s dementia, potentially rising to 13.8 million by 2060 without medical advances (<xref ref-type="bibr" rid="ref4">4</xref>). The aging population contributes to its increasing prevalence, posing a significant public health challenge (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). AD pathogenesis involves multiple pathological processes, including amyloid-beta (A&#x03B2;) protein deposition, neurofibrillary tangles from Tau protein phosphorylation, chronic neuroinflammation, and disrupted insulin signaling in the brain, alongside genetic factors and environmental exposures (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref7 ref8 ref9">7&#x2013;9</xref>). Recent research has increasingly indicated that the artificial sweetener aspartame, along with its metabolites, possesses the capability to traverse the blood&#x2013;brain barrier, thereby inducing oxidative stress responses and enhancing neuroinflammation. This process may contribute to and expedite neuronal degeneration (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>).</p>
<p>Aspartame, a prevalent artificial sweetener, is extensively utilized in a variety of low-calorie foods and beverages. Although its safety has been endorsed by certain regulatory bodies, a growing body of neurotoxicity research suggests that its metabolites, including phenylalanine, aspartic acid, and methanol, can permeate the blood&#x2013;brain barrier, accumulate within the central nervous system, and potentially initiate pathological processes associated with the onset of AD (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref13 ref14 ref15">13&#x2013;15</xref>). Empirical evidence indicates that aspartame may exacerbate the aberrant deposition of A&#x03B2; protein and the hyperphosphorylation of Tau protein by promoting oxidative stress in the brain, compromising the integrity of neuronal cell membranes, and activating neuroinflammatory pathways (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Despite the current insufficiency of epidemiological evidence and the ongoing controversy surrounding mechanistic research, numerous experiments indicate that prolonged and excessive consumption of aspartame may lead to neuronal dysfunction and cognitive impairment (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). Considering the widespread use of aspartame in food products and its potential biological effects on the central nervous system, it is of substantial neurotoxicological and public health importance to conduct comprehensive research into the molecular mechanisms and population risks associated with AD.</p>
<p>To investigate the potential link between aspartame and AD, this study employed a comprehensive computational approach that integrates network toxicology, and molecular docking to systematically examine the neurotoxic mechanisms involved. A multi-dimensional interaction network comprising &#x201C;compound - target - pathway&#x201D; was developed using network toxicology to identify AD-related signaling pathways and biological processes that may be influenced by aspartame. Molecular docking was utilized to simulate the binding modes and affinities of aspartame with key targets, thereby assessing its potential for interference. This integrated methodology facilitates a systematic elucidation of the multi-target mechanisms through which aspartame may contribute to the progression of AD, providing a theoretical foundation for environmental health risk assessments. Additionally, it offers a computational toxicology framework for evaluating the neurotoxicity of food additives.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Identification of toxicological targets for aspartame</title>
<p>The two-dimensional chemical structure of aspartame and its standard SMILES notation were retrieved from the PubChem database.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> This SMILES expression was subsequently submitted to the SwissTarget Prediction online platform,<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> where the species was set to &#x201C;<italic>Homo sapiens</italic>&#x201D; to predict targets and the targets whose credibility value was 0 were removed (<xref ref-type="bibr" rid="ref19">19</xref>). Concurrently, a search was conducted in the ChEMBL database<xref ref-type="fn" rid="fn0003"><sup>3</sup></xref> using &#x201C;Aspartame&#x201D; as the keyword to identify experimentally verified human targets. By integrating and deduplicating the targets identified from these two platforms, a set of potential toxicological action targets for aspartame was obtained.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Acquisition and intersection analysis of AD</title>
<p>The search term &#x201C;Alzheimer&#x2019;s disease&#x201D; was utilized to identify relevant targets from the OMIM database<xref ref-type="fn" rid="fn0004"><sup>4</sup></xref> and the GeneCards database.<xref ref-type="fn" rid="fn0005"><sup>5</sup></xref> In the GeneCards database, a correlation score threshold of greater than 20 was applied to filter for high-confidence targets (<xref ref-type="bibr" rid="ref20">20</xref>). The search results from both databases were integrated, and redundant genes were eliminated to construct a comprehensive target set for AD. Subsequently, the Microscopic Letter online analysis platform<xref ref-type="fn" rid="fn0006"><sup>6</sup></xref> was employed to map potential targets of aspartame against the AD target set. The intersection of these datasets was identified to determine common targets, and a Venn diagram was generated to visualize the overlap.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Construction of PPI networks and identification of core targets</title>
<p>To examine the interaction relationships among the intersecting targets, the list of common targets was imported into the STRING database (version 11.5), specifying &#x201C;<italic>Homo sapiens</italic>&#x201D; as the species. The minimum interaction confidence score was set to 0.40, and free nodes were excluded from the analysis. The resulting PPI network data were subsequently imported into Cytoscape software (version 3.9.1) for visualization and further analysis. The CytoHubba plugin was employed to apply five topological algorithms&#x2014;Betweenness, Closeness, Degree, Maximum Clique Centrality (MCC), and Edge Percolated Component (EPC)&#x2014;to take intersection eventually get the core target.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>GO and KEGG enrichment analyses</title>
<p>To elucidate the primary targets involved in biological functions and associated signaling pathways, we employed the DAVID online bioinformatics resources for enrichment analysis.<xref ref-type="fn" rid="fn0007"><sup>7</sup></xref> The analysis was conducted with the species parameter set to &#x201C;<italic>Homo sapiens</italic>,&#x201D; and a significance threshold was established at a <italic>p</italic>-value of less than 0.05. The analysis encompassed the three categories of GO &#x2014;biological processes (BP), molecular functions (MF), and cellular components (CC)&#x2014;as well as pathways from the KEGG. The enrichment results were ranked based on p-value and the number of genes included. Visualization was achieved through bar charts or bubble charts, which were created on the WeChat platform to identify the principal biological processes and signaling pathways through which aspartame influences AD.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Molecular docking</title>
<p>To assess the binding potential of aspartame to specific target proteins at the molecular level, molecular docking simulations were employed. The three-dimensional structure of aspartame was retrieved from the PubChem database and subsequently converted to mol2 format utilizing Open Babel software. The crystal structure of the target protein was acquired from the RCSB Protein Data Bank, with extraneous water molecules, primary ligands, and non-essential ions removed using PyMOL software. Preprocessing of both the receptor protein and the ligand molecule, including hydrogenation and the calculation of Gasteiger charges, was conducted using AutoDock Tools software, and the structures were saved in pdbqt format. Semi-flexible molecular docking was executed using AutoDock Vina, with the docking grid box&#x2019;s center coordinates and dimensions defined according to the protein&#x2019;s active sites. Upon completion of the docking process, the conformation exhibiting the lowest binding free energy was selected as the most stable binding mode, and the interactions were visually analyzed using PyMOL software.</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<label>3</label>
<title>Results</title>
<sec id="sec9">
<label>3.1</label>
<title>Identification of aspartame-induced targets in AD</title>
<p>To elucidate the relationship between aspartame and AD, this study initially conducted a systematic screening of their shared targets. By integrating predictive data from the ChEMBL and SwissTargetPrediction databases, 328 targets associated with aspartame were identified. Following the removal of duplicates, 298 potential action targets were confirmed. Concurrently, a search was performed using the GeneCards and OMIM databases with the keyword &#x201C;Alzheimer&#x2019;s disease.&#x201D; After applying correlation score thresholds and eliminating redundancies, 2,042&#x202F;AD-related targets were identified. By intersecting these two sets of targets, 75 common potential targets of aspartame and AD were ultimately identified (<xref ref-type="fig" rid="fig1">Figure 1</xref>). These targets may mediate the potential influence of aspartame on the pathological processes of AD.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Venn diagrams of aspartame targets and Alzheimer&#x2019;s disease targets.</p>
</caption>
<graphic xlink:href="fnut-12-1733469-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A Venn diagram and bar charts depict the overlap between Aspartame and AD lists. The Venn diagram shows 223 elements unique to Aspartame, 1,967 unique to AD, and 75 shared. The bar chart reveals list sizes: 298 for Aspartame and 2,042 for AD. A horizontal bar indicates 2,190 total elements, with 75 shared.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<label>3.2</label>
<title>Construction of PPI networks and identification of core targets</title>
<p>To elucidate the interaction dynamics among the identified common targets, a total of 75 intersection targets were input into the STRING database to construct a PPI network. The species parameter was set to &#x201C;<italic>Homo sapiens</italic>,&#x201D; resulting in a network comprising 75 nodes (proteins) and 798 edges (interactions) (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). To further pinpoint the hub proteins within this network, the PPI data were analyzed using Cytoscape software, employing the CytoHubba plugin. A comprehensive analysis was conducted using five topological algorithms: Betweenness, Closeness, Degree, MCC, and EPC. By focusing on targets that ranked highly across these algorithms, seven core targets were identified: BCL2, PPARG, TNF, IL1&#x03B2;, MAPK3, ESR1, and CASP3 (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). These core targets are pivotal within the PPI network, indicating their potential significance in the pathological processes associated with aspartame-induced AD (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The PPI network of the potential targets and the core targets. <bold>(A)</bold> PPI network of the common targets. <bold>(B)</bold> Subnetwork of the top core targets identified.</p>
</caption>
<graphic xlink:href="fnut-12-1733469-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A: Network diagram of common targets, with central nodes like TNF, IL1B, and CASP3. B: Subnetwork of core targets, including TNF, APP, and IL1B.  Node colors (yellow to red) indicate interaction levels.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The PPI network of the potential targets and the core targets.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Algorithm</th>
<th align="left" valign="top">Name</th>
<th align="center" valign="top">Score</th>
<th align="center" valign="top">Degree</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="10">Betweenness</td>
<td align="left" valign="top">APP</td>
<td align="center" valign="top">670.365</td>
<td align="center" valign="top">43</td>
</tr>
<tr>
<td align="left" valign="top">TNF</td>
<td align="center" valign="top">439.937</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="top">IL1&#x03B2;</td>
<td align="center" valign="top">432.714</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="top">BCL2</td>
<td align="center" valign="top">248.575</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">CASP3</td>
<td align="center" valign="top">231.564</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">ESR1</td>
<td align="center" valign="top">206.921</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">MAPK3</td>
<td align="center" valign="top">159.839</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">PPARG</td>
<td align="center" valign="top">159.194</td>
<td align="center" valign="top">38</td>
</tr>
<tr>
<td align="left" valign="top">CTSB</td>
<td align="center" valign="top">129.355</td>
<td align="center" valign="top">30</td>
</tr>
<tr>
<td align="left" valign="top">ERBB2</td>
<td align="center" valign="top">111.781</td>
<td align="center" valign="top">34</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="10">Closeness</td>
<td align="left" valign="top">TNF</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="top">IL1&#x03B2;</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="top">CASP3</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">BCL2</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">APP</td>
<td align="center" valign="top">57.5</td>
<td align="center" valign="top">43</td>
</tr>
<tr>
<td align="left" valign="top">MMP9</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">42</td>
</tr>
<tr>
<td align="left" valign="top">MAPK3</td>
<td align="center" valign="top">55.5</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">ESR1</td>
<td align="center" valign="top">55.5</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">PPARG</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">38</td>
</tr>
<tr>
<td align="left" valign="top">PTGS2</td>
<td align="center" valign="top">54.5</td>
<td align="center" valign="top">37</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="10">Degree</td>
<td align="left" valign="top">TNF</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="top">IL1&#x03B2;</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="top">CASP3</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">BCL2</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">APP</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">43</td>
</tr>
<tr>
<td align="left" valign="top">MMP9</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">42</td>
</tr>
<tr>
<td align="left" valign="top">MAPK3</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">ESR1</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">PPARG</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">38</td>
</tr>
<tr>
<td align="left" valign="top">PTGS2</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">37</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="10">MCC</td>
<td align="left" valign="top">TNF</td>
<td align="center" valign="top">6.32E+10</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="top">CASP3</td>
<td align="center" valign="top">6.32E+10</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">BCL2</td>
<td align="center" valign="top">6.32E+10</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">MMP9</td>
<td align="center" valign="top">6.30E+10</td>
<td align="center" valign="top">42</td>
</tr>
<tr>
<td align="left" valign="top">ESR1</td>
<td align="center" valign="top">6.22E+10</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">PPARG</td>
<td align="center" valign="top">6.17E+10</td>
<td align="center" valign="top">38</td>
</tr>
<tr>
<td align="left" valign="top">PTGS2</td>
<td align="center" valign="top">6.13E+10</td>
<td align="center" valign="top">37</td>
</tr>
<tr>
<td align="left" valign="top">MAPK3</td>
<td align="center" valign="top">5.73E+10</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">IL2</td>
<td align="center" valign="top">5.68E+10</td>
<td align="center" valign="top">34</td>
</tr>
<tr>
<td align="left" valign="top">IL1&#x03B2;</td>
<td align="center" valign="top">4.86E+10</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="10">EPC</td>
<td align="left" valign="top">TNF</td>
<td align="center" valign="top">17.695</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="top">IL1&#x03B2;</td>
<td align="center" valign="top">17.688</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="top">CASP3</td>
<td align="center" valign="top">17.237</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">BCL2</td>
<td align="center" valign="top">17.126</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top">MMP9</td>
<td align="center" valign="top">16.766</td>
<td align="center" valign="top">42</td>
</tr>
<tr>
<td align="left" valign="top">MAPK3</td>
<td align="center" valign="top">15.965</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">ESR1</td>
<td align="center" valign="top">15.932</td>
<td align="center" valign="top">39</td>
</tr>
<tr>
<td align="left" valign="top">PPARG</td>
<td align="center" valign="top">15.705</td>
<td align="center" valign="top">38</td>
</tr>
<tr>
<td align="left" valign="top">PTGS2</td>
<td align="center" valign="top">15.647</td>
<td align="center" valign="top">37</td>
</tr>
<tr>
<td align="left" valign="top">APP</td>
<td align="center" valign="top">14.988</td>
<td align="center" valign="top">43</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec11">
<label>3.3</label>
<title>GO and KEGG enrichment analyses</title>
<p>To systematically speculate the biological functions of the shared targets between aspartame and AD, this study employed GO analysis and KEGG pathway enrichment analysis. Seventy-five intersecting targets were input into the DAVID database, with the species parameter set to <italic>Homo sapiens</italic> and a significance threshold of <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. The analysis yielded 314 significantly enriched biological process, 54 cellular component, and 70 molecular function. Additionally, KEGG pathway analysis identified 148 significantly enriched signaling pathways. The results from the GO analysis highlighted several biological processes closely associated with AD pathology in which the intersecting targets are implicated. At the biological process level, targets were significantly enriched in key categories such as protein metabolism and homeostasis, encompassing processes like proteolysis, protein processing, and core pathological mechanisms of AD, including the A&#x03B2; metabolic process and the positive regulation of neuron apoptotic processes. Furthermore, cellular stress and inflammatory response pathways were also prominently represented. These findings from the KEGG enrichment analysis revealed that the intersecting target was significantly enriched in several critical signaling pathways. Notably, pathways directly associated with AD pathology include well-established pathways such as the TNF signaling pathway, MAPK signaling pathway, and PI3K-Akt signaling pathway. In summary, the enrichment analysis suggests that aspartame may potentially influence the onset and progression of AD by disrupting fundamental biological processes, including protein metabolism, inducing neuroinflammation and cellular stress, and facilitating neuronal apoptosis (<xref ref-type="table" rid="tab2">Table 2</xref>, <xref ref-type="table" rid="tab3">3</xref> and <xref ref-type="fig" rid="fig3">Figures 3</xref>, <xref ref-type="fig" rid="fig4">4</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>GO enrichment analysis of potential targets.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th align="left" valign="top">Term</th>
<th align="center" valign="top">Gene ratio</th>
<th align="center" valign="top">PValue</th>
<th align="center" valign="top">Count</th>
<th align="center" valign="top">Fold enrichment</th>
<th align="center" valign="top">FDR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Proteolysis</td>
<td align="char" valign="top" char=".">28.38</td>
<td align="center" valign="top">2.77E-14</td>
<td align="center" valign="top">21</td>
<td align="char" valign="top" char=".">9.40</td>
<td align="center" valign="top">4.16E-11</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Response to xenobiotic stimulus</td>
<td align="char" valign="top" char=".">20.27</td>
<td align="center" valign="top">6.56E-13</td>
<td align="center" valign="top">15</td>
<td align="char" valign="top" char=".">15.31</td>
<td align="center" valign="top">4.94E-10</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Response to hypoxia</td>
<td align="char" valign="top" char=".">16.22</td>
<td align="center" valign="top">6.13E-11</td>
<td align="center" valign="top">12</td>
<td align="char" valign="top" char=".">17.69</td>
<td align="center" valign="top">3.08E-08</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Response to lipopolysaccharide</td>
<td align="char" valign="top" char=".">14.86</td>
<td align="center" valign="top">1.64E-10</td>
<td align="center" valign="top">11</td>
<td align="char" valign="top" char=".">19.90</td>
<td align="center" valign="top">6.18E-08</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Amyloid-beta metabolic process</td>
<td align="char" valign="top" char=".">8.11</td>
<td align="center" valign="top">2.97E-10</td>
<td align="center" valign="top">6</td>
<td align="char" valign="top" char=".">143.12</td>
<td align="center" valign="top">8.94E-08</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Positive regulation of neuron apoptotic process</td>
<td align="char" valign="top" char=".">10.81</td>
<td align="center" valign="top">5.16E-09</td>
<td align="center" valign="top">8</td>
<td align="char" valign="top" char=".">31.80</td>
<td align="center" valign="top">1.30E-06</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Response to nicotine</td>
<td align="char" valign="top" char=".">9.46</td>
<td align="center" valign="top">1.08E-08</td>
<td align="center" valign="top">7</td>
<td align="char" valign="top" char=".">43.73</td>
<td align="center" valign="top">2.32E-06</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Protein processing</td>
<td align="char" valign="top" char=".">10.81</td>
<td align="center" valign="top">3.64E-08</td>
<td align="center" valign="top">8</td>
<td align="char" valign="top" char=".">24.13</td>
<td align="center" valign="top">6.64E-06</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Visual learning</td>
<td align="char" valign="top" char=".">9.46</td>
<td align="center" valign="top">4.07E-08</td>
<td align="center" valign="top">7</td>
<td align="char" valign="top" char=".">35.32</td>
<td align="center" valign="top">6.64E-06</td>
</tr>
<tr>
<td align="left" valign="top">BP</td>
<td align="left" valign="top">Positive regulation of MAPK cascade</td>
<td align="char" valign="top" char=".">13.51</td>
<td align="center" valign="top">4.41E-08</td>
<td align="center" valign="top">10</td>
<td align="char" valign="top" char=".">13.59</td>
<td align="center" valign="top">6.64E-06</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Plasma membrane</td>
<td align="char" valign="top" char=".">60.81</td>
<td align="center" valign="top">1.82E-09</td>
<td align="center" valign="top">45</td>
<td align="char" valign="top" char=".">2.27</td>
<td align="center" valign="top">3.69E-07</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Membrane raft</td>
<td align="char" valign="top" char=".">14.86</td>
<td align="center" valign="top">4.04E-09</td>
<td align="center" valign="top">11</td>
<td align="char" valign="top" char=".">14.36</td>
<td align="center" valign="top">4.10E-07</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Extracellular region</td>
<td align="char" valign="top" char=".">36.49</td>
<td align="center" valign="top">1.99E-08</td>
<td align="center" valign="top">27</td>
<td align="char" valign="top" char=".">3.35</td>
<td align="center" valign="top">1.35E-06</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Cell surface</td>
<td align="char" valign="top" char=".">20.27</td>
<td align="center" valign="top">7.13E-08</td>
<td align="center" valign="top">15</td>
<td align="char" valign="top" char=".">6.30</td>
<td align="center" valign="top">3.62E-06</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Caveola</td>
<td align="char" valign="top" char=".">9.46</td>
<td align="center" valign="top">2.62E-07</td>
<td align="center" valign="top">7</td>
<td align="char" valign="top" char=".">26.07</td>
<td align="center" valign="top">1.06E-05</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Neuronal cell body</td>
<td align="char" valign="top" char=".">14.86</td>
<td align="center" valign="top">7.91E-07</td>
<td align="center" valign="top">11</td>
<td align="char" valign="top" char=".">8.17</td>
<td align="center" valign="top">2.67E-05</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Presynaptic membrane</td>
<td align="char" valign="top" char=".">10.81</td>
<td align="center" valign="top">9.20E-07</td>
<td align="center" valign="top">8</td>
<td align="char" valign="top" char=".">15.10</td>
<td align="center" valign="top">2.67E-05</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Ficolin-1-rich granule lumen</td>
<td align="char" valign="top" char=".">9.46</td>
<td align="center" valign="top">5.30E-06</td>
<td align="center" valign="top">7</td>
<td align="char" valign="top" char=".">15.64</td>
<td align="center" valign="top">1.35E-04</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Extracellular space</td>
<td align="char" valign="top" char=".">28.38</td>
<td align="center" valign="top">1.19E-05</td>
<td align="center" valign="top">21</td>
<td align="char" valign="top" char=".">2.95</td>
<td align="center" valign="top">2.68E-04</td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="left" valign="top">Endoplasmic reticulum lumen</td>
<td align="char" valign="top" char=".">12.16</td>
<td align="center" valign="top">1.42E-05</td>
<td align="center" valign="top">9</td>
<td align="char" valign="top" char=".">8.06</td>
<td align="center" valign="top">2.87E-04</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Peptidase activity</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">1.67E-15</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">35.15</td>
<td align="center" valign="top">6.13E-13</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Identical protein binding</td>
<td align="char" valign="top" char=".">43.24</td>
<td align="center" valign="top">5.68E-14</td>
<td align="center" valign="top">32</td>
<td align="char" valign="top" char=".">4.67</td>
<td align="center" valign="top">1.04E-11</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Endopeptidase activity</td>
<td align="char" valign="top" char=".">12.16</td>
<td align="center" valign="top">4.04E-10</td>
<td align="center" valign="top">9</td>
<td align="char" valign="top" char=".">31.15</td>
<td align="center" valign="top">4.93E-08</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Protein binding</td>
<td align="char" valign="top" char=".">95.95</td>
<td align="center" valign="top">7.27E-08</td>
<td align="center" valign="top">71</td>
<td align="char" valign="top" char=".">1.35</td>
<td align="center" valign="top">6.65E-06</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Enzyme binding</td>
<td align="char" valign="top" char=".">14.86</td>
<td align="center" valign="top">1.45E-06</td>
<td align="center" valign="top">11</td>
<td align="char" valign="top" char=".">7.63</td>
<td align="center" valign="top">1.06E-04</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Protein-containing complex binding</td>
<td align="char" valign="top" char=".">13.51</td>
<td align="center" valign="top">6.64E-06</td>
<td align="center" valign="top">10</td>
<td align="char" valign="top" char=".">7.46</td>
<td align="center" valign="top">4.05E-04</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Serine-type endopeptidase activity</td>
<td align="char" valign="top" char=".">10.81</td>
<td align="center" valign="top">8.63E-06</td>
<td align="center" valign="top">8</td>
<td align="char" valign="top" char=".">10.76</td>
<td align="center" valign="top">4.51E-04</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Aspartic-type endopeptidase activity</td>
<td align="char" valign="top" char=".">6.76</td>
<td align="center" valign="top">1.03E-05</td>
<td align="center" valign="top">5</td>
<td align="char" valign="top" char=".">36.05</td>
<td align="center" valign="top">4.72E-04</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Nuclear receptor activity</td>
<td align="char" valign="top" char=".">6.76</td>
<td align="center" valign="top">5.26E-05</td>
<td align="center" valign="top">5</td>
<td align="char" valign="top" char=".">24.03</td>
<td align="center" valign="top">0.002138468</td>
</tr>
<tr>
<td align="left" valign="top">MF</td>
<td align="left" valign="top">Metalloendopeptidase activity</td>
<td align="char" valign="top" char=".">8.11</td>
<td align="center" valign="top">6.47E-05</td>
<td align="center" valign="top">6</td>
<td align="char" valign="top" char=".">14.03</td>
<td align="center" valign="top">0.002366904</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>KEGG enrichment analysis of potential targets.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Term</th>
<th align="center" valign="top">Gene ratio</th>
<th align="center" valign="top">PValue</th>
<th align="center" valign="top">Count</th>
<th align="center" valign="top">Fold enrichment</th>
<th align="center" valign="top">FDR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Pathways in cancer</td>
<td align="char" valign="top" char=".">31.08</td>
<td align="center" valign="top">9.52E-11</td>
<td align="center" valign="top">23</td>
<td align="char" valign="top" char=".">5.24</td>
<td align="center" valign="top">9.52E-10</td>
</tr>
<tr>
<td align="left" valign="top">Alzheimer disease</td>
<td align="char" valign="top" char=".">27.03</td>
<td align="center" valign="top">1.56E-10</td>
<td align="center" valign="top">20</td>
<td align="char" valign="top" char=".">6.21</td>
<td align="center" valign="top">1.21E-09</td>
</tr>
<tr>
<td align="left" valign="top">Pathways of neurodegeneration - multiple diseases</td>
<td align="char" valign="top" char=".">25.68</td>
<td align="center" valign="top">3.49E-08</td>
<td align="center" valign="top">19</td>
<td align="char" valign="top" char=".">4.78</td>
<td align="center" valign="top">1.36E-07</td>
</tr>
<tr>
<td align="left" valign="top">Proteoglycans in cancer</td>
<td align="char" valign="top" char=".">22.97</td>
<td align="center" valign="top">4.55E-12</td>
<td align="center" valign="top">17</td>
<td align="char" valign="top" char=".">10.12</td>
<td align="center" valign="top">7.96E-11</td>
</tr>
<tr>
<td align="left" valign="top">Lipid and atherosclerosis</td>
<td align="char" valign="top" char=".">22.97</td>
<td align="center" valign="top">1.09E-11</td>
<td align="center" valign="top">17</td>
<td align="char" valign="top" char=".">9.56</td>
<td align="center" valign="top">1.53E-10</td>
</tr>
<tr>
<td align="left" valign="top">C-type lectin receptor signaling pathway</td>
<td align="char" valign="top" char=".">20.27</td>
<td align="center" valign="top">7.45E-14</td>
<td align="center" valign="top">15</td>
<td align="char" valign="top" char=".">17.35</td>
<td align="center" valign="top">5.21E-12</td>
</tr>
<tr>
<td align="left" valign="top">Apoptosis</td>
<td align="char" valign="top" char=".">20.27</td>
<td align="center" valign="top">2.85E-12</td>
<td align="center" valign="top">15</td>
<td align="char" valign="top" char=".">13.39</td>
<td align="center" valign="top">6.65E-11</td>
</tr>
<tr>
<td align="left" valign="top">Endocrine resistance</td>
<td align="char" valign="top" char=".">18.92</td>
<td align="center" valign="top">7.72E-13</td>
<td align="center" valign="top">14</td>
<td align="char" valign="top" char=".">17.17</td>
<td align="center" valign="top">2.70E-11</td>
</tr>
<tr>
<td align="left" valign="top">Human immunodeficiency virus 1 infection</td>
<td align="char" valign="top" char=".">18.92</td>
<td align="center" valign="top">1.25E-08</td>
<td align="center" valign="top">14</td>
<td align="char" valign="top" char=".">7.98</td>
<td align="center" valign="top">5.90E-08</td>
</tr>
<tr>
<td align="left" valign="top">Human cytomegalovirus infection</td>
<td align="char" valign="top" char=".">18.92</td>
<td align="center" valign="top">2.55E-08</td>
<td align="center" valign="top">14</td>
<td align="char" valign="top" char=".">7.52</td>
<td align="center" valign="top">1.05E-07</td>
</tr>
<tr>
<td align="left" valign="top">Coronavirus disease - COVID-19</td>
<td align="char" valign="top" char=".">18.92</td>
<td align="center" valign="top">4.72E-08</td>
<td align="center" valign="top">14</td>
<td align="char" valign="top" char=".">7.14</td>
<td align="center" valign="top">1.65E-07</td>
</tr>
<tr>
<td align="left" valign="top">Prostate cancer</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">1.49E-11</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">16.11</td>
<td align="center" valign="top">1.74E-10</td>
</tr>
<tr>
<td align="left" valign="top">TNF signaling pathway</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">1.52E-10</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">13.27</td>
<td align="center" valign="top">1.21E-09</td>
</tr>
<tr>
<td align="left" valign="top">Hepatitis B</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">5.89E-09</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">9.69</td>
<td align="center" valign="top">3.44E-08</td>
</tr>
<tr>
<td align="left" valign="top">Salmonella infection</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">6.94E-07</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">6.29</td>
<td align="center" valign="top">1.47E-06</td>
</tr>
<tr>
<td align="left" valign="top">MAPK signaling pathway</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">4.51E-06</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">5.26</td>
<td align="center" valign="top">7.17E-06</td>
</tr>
<tr>
<td align="left" valign="top">MicroRNAs in cancer</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">6.74E-06</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">5.06</td>
<td align="center" valign="top">9.63E-06</td>
</tr>
<tr>
<td align="left" valign="top">PI3K-Akt signaling pathway</td>
<td align="char" valign="top" char=".">17.57</td>
<td align="center" valign="top">3.00E-05</td>
<td align="center" valign="top">13</td>
<td align="char" valign="top" char=".">4.36</td>
<td align="center" valign="top">3.29E-05</td>
</tr>
<tr>
<td align="left" valign="top">Estrogen signaling pathway</td>
<td align="char" valign="top" char=".">16.22</td>
<td align="center" valign="top">1.26E-08</td>
<td align="center" valign="top">12</td>
<td align="char" valign="top" char=".">10.48</td>
<td align="center" valign="top">5.90E-08</td>
</tr>
<tr>
<td align="left" valign="top">Influenza A</td>
<td align="char" valign="top" char=".">16.22</td>
<td align="center" valign="top">1.23E-07</td>
<td align="center" valign="top">12</td>
<td align="char" valign="top" char=".">8.42</td>
<td align="center" valign="top">4.00E-07</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>GO enrichment analysis of potential targets.</p>
</caption>
<graphic xlink:href="fnut-12-1733469-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Sankey plot showing the relationship between various genes and their associated activities on the left, with paths leading to a dot plot on the right. The dot plot displays Gene Ratio on the x-axis and a logarithmic P-value scale indicating significance in color. Dot size represents count, with larger dots indicating higher counts.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>KEGG enrichment analysis of potential targets.</p>
</caption>
<graphic xlink:href="fnut-12-1733469-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Sankey diagram showing the relationship between various genes and associated pathways, such as "Influenza A" and "Prostate cancer." Connections are color-coded by P-value, with a gradient from blue to red representing increasing significance. A scatter plot on the right displays Gene Ratio against P-value, with dot size indicating gene count.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec12">
<label>3.4</label>
<title>Molecular docking</title>
<p>To assess the reliability of network pharmacological predictions at the structural level, this study utilized molecular docking to simulate the binding interactions and affinities between aspartame and seven core target proteins: BCL2, PPARG, TNF, IL1&#x03B2;, MAPK3, ESR1, and CASP3. Calculations were performed using AutoDock Vina software, with free energy (&#x0394;G, in kcal&#x00B7;mol<sup>&#x2212;1</sup>) serving as the primary metric for evaluating the stability of ligand-receptor binding. The molecular docking results demonstrated that aspartame exhibited good binding potential with all seven core targets (<xref ref-type="table" rid="tab4">Table 4</xref>). This suggests that aspartame could theoretically form stable complexes with these target proteins. Further conformational analysis revealed that aspartame predominantly binds to the active sites of target proteins through intermolecular forces, including hydrogen bonds and hydrophobic interactions. The binding mode was elucidated using PyMOL software (<xref ref-type="fig" rid="fig5">Figure 5</xref>), which effectively illustrated the precise orientation of aspartame molecules within the protein binding cavity and highlighted the interactions with key amino acid residues. In summary, the molecular docking results, corroborated by computational simulation, confirmed that aspartame can stably bind to the core targets associated with AD. This finding provides structural biological support for the previously mentioned network pharmacological predictions and further reinforces the hypothesis that aspartame may play a role in the pathological process of AD through a multi-target mechanism of action.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Binding capacity of aspartame to core targets.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Name</th>
<th align="left" valign="top" rowspan="2">PDB ID</th>
<th align="center" valign="top" rowspan="2">Binding capacity</th>
<th align="center" valign="top" colspan="3">Box coordinates</th>
<th align="center" valign="top" colspan="3">Box size</th>
</tr>
<tr>
<th align="center" valign="top"><italic>x</italic></th>
<th align="center" valign="top"><italic>y</italic></th>
<th align="center" valign="top"><italic>z</italic></th>
<th align="center" valign="top"><italic>x</italic></th>
<th align="center" valign="top"><italic>y</italic></th>
<th align="center" valign="top"><italic>z</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">BCL2</td>
<td align="left" valign="middle">2&#x202F;mg5</td>
<td align="char" valign="middle" char=".">&#x2212;5.57</td>
<td align="center" valign="middle">3.664</td>
<td align="char" valign="middle" char=".">&#x2212;4.153</td>
<td align="char" valign="middle" char=".">&#x2212;2.012</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
</tr>
<tr>
<td align="left" valign="middle">PPARG</td>
<td align="left" valign="middle">2q59</td>
<td align="char" valign="middle" char=".">&#x2212;5.57</td>
<td align="center" valign="middle">&#x2212;20.142</td>
<td align="char" valign="middle" char=".">0.947</td>
<td align="char" valign="middle" char=".">&#x2212;25.453</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
</tr>
<tr>
<td align="left" valign="middle">IL1&#x03B2;</td>
<td align="left" valign="middle">4gai</td>
<td align="char" valign="middle" char=".">&#x2212;4.82</td>
<td align="center" valign="middle">7.104</td>
<td align="char" valign="middle" char=".">&#x2212;16.433</td>
<td align="char" valign="middle" char=".">&#x2212;24.47</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
</tr>
<tr>
<td align="left" valign="middle">TNF</td>
<td align="left" valign="middle">1a8m</td>
<td align="char" valign="middle" char=".">&#x2212;4.93</td>
<td align="center" valign="middle">20.111</td>
<td align="char" valign="middle" char=".">49.821</td>
<td align="char" valign="middle" char=".">39.786</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
</tr>
<tr>
<td align="left" valign="middle">MAPK3</td>
<td align="left" valign="middle">4qtb</td>
<td align="char" valign="middle" char=".">&#x2212;5.37</td>
<td align="center" valign="middle">44.155</td>
<td align="char" valign="middle" char=".">38.765</td>
<td align="char" valign="middle" char=".">72.992</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
</tr>
<tr>
<td align="left" valign="middle">ESR1</td>
<td align="left" valign="middle">3os8</td>
<td align="char" valign="middle" char=".">&#x2212;5.3</td>
<td align="center" valign="middle">15.391</td>
<td align="char" valign="middle" char=".">26.237</td>
<td align="char" valign="middle" char=".">&#x2212;45.217</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
</tr>
<tr>
<td align="left" valign="middle">BCL2</td>
<td align="left" valign="middle">1g5m</td>
<td align="char" valign="middle" char=".">&#x2212;4.9</td>
<td align="center" valign="middle">10,504</td>
<td align="char" valign="middle" char=".">7.426</td>
<td align="char" valign="middle" char=".">22.401</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">120</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>The results of molecular docking.</p>
</caption>
<graphic xlink:href="fnut-12-1733469-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Molecular docking diagrams showing aspartame binding to seven core proteins: BCL2, TNF, MAPK3, ESR1, PPARG, IL-1B, and CASP3.  Each panel shows the binding pose, with binding energy values (ranging from -5.57 to -4.82 kcal/mol) labeled.  The ligand and protein active sites are highlighted in contrasting colors.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec13">
<label>4</label>
<title>Discussion</title>
<p>Alzheimer&#x2019;s disease, a progressive neurodegenerative disorder, is characterized by distinct pathological features, including the abnormal deposition of A&#x03B2; protein in the brain parenchyma, and the aggregation of hyperphosphorylated Tau protein within neurons (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref21 ref22 ref23">21&#x2013;23</xref>). Although the precise etiology of AD remains incompletely understood, it is widely accepted within the academic community that its pathogenesis arises from a complex interplay between genetic predisposition and prolonged environmental exposure (<xref ref-type="bibr" rid="ref24 ref25 ref26">24&#x2013;26</xref>). Beyond the classical A&#x03B2; cascade hypothesis and the Tau protein hypothesis, neuroinflammation has been identified as a critical factor driving the pathological progression of AD (<xref ref-type="bibr" rid="ref27 ref28 ref29 ref30">27&#x2013;30</xref>). Pro-inflammatory cytokines in the peripheral circulation can penetrate the central nervous system through alterations in blood&#x2013;brain barrier permeability or by activating resident microglia in the brain, thereby initiating and sustaining a chronic inflammatory cascade within the cerebral environment (<xref ref-type="bibr" rid="ref31 ref32 ref33">31&#x2013;33</xref>). This persistent state of neuroinflammation not only directly contributes to neuronal damage but also exacerbates the aggregation of A&#x03B2; and the pathological alterations of Tau protein, thereby creating a vicious cycle that ultimately accelerates cognitive decline (<xref ref-type="bibr" rid="ref34 ref35 ref36">34&#x2013;36</xref>). Aspartame, a widely utilized artificial sweetener, is metabolized in the body into components such as phenylalanine, aspartic acid, and methanol. Existing research indicates that the neurotoxic effects induced by aspartame may involve multiple mechanisms, including neuroinflammation, oxidative stress, mitochondrial dysfunction, and apoptosis (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref37">37</xref>). In this context, a systematic investigation into the relationship between aspartame consumption and the onset and progression of AD, as well as its underlying mechanisms, is of substantial scientific and public health importance.</p>
<p>Utilizing network toxicology and molecular docking, this study peculated the potential molecular mechanisms through which aspartame may contribute to the pathogenesis of AD. By integrating and analyzing data from multiple databases, the study obtained 298 targets associated with aspartame and 2,042 targets related to AD. From this dataset, seven core targets&#x2014;BCL2, PPARG, TNF, IL1&#x03B2;, MAPK3, ESR1, and CASP3&#x2014; were speculated as potential mediators of the interaction between aspartame and AD. The molecular docking results indicated that aspartame had a good binding affinity with some core targets. It is speculated that aspartame may interfere with the signaling pathways related to AD through its interaction with these key proteins. Further KEGG enrichment analysis revealed significant enrichment in the TNF signaling pathway, MAPK signaling pathway, and PI3K-Akt signaling pathway. These pathways collectively regulate critical pathological processes in AD, such as neuroinflammatory response, apoptosis, and oxidative stress, thereby speculating on the potential mechanisms by which aspartame exposure may be involved in the occurrence and development of the disease.</p>
<p>This study hypothesizes that the primary targets identified are intricately linked to the key pathological mechanisms of AD. A central objective of AD research is to mitigate the accumulation of abnormal tau protein. Through the application of multispectral analysis on the brain tissues of individuals who succumbed to AD, it was observed that hyperphosphorylated tau protein was associated with numerous proteins from the BCL2 family. The findings of this research demonstrate that inhibiting BCL2 can substantially alleviate the tau protein burden (<xref ref-type="bibr" rid="ref38">38</xref>). Additionally, the study reveals that aspartame can induce the upregulation of CASP3 expression and the downregulation of BCL2 expression (<xref ref-type="bibr" rid="ref39">39</xref>). This theoretically represents one of the potential mechanisms that may increase the risk of AD. AD represents the most prevalent form of dementia, with neuroinflammation serving as a critical marker of its pathogenesis (<xref ref-type="bibr" rid="ref35">35</xref>). TNF and its type 1 receptor are implicated not only in the neuroinflammatory processes associated with AD but also in amyloid protein formation through the regulation of <italic>&#x03B2;</italic>-secretase (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). This dual role positions TNF as a promising candidate for therapeutic intervention in AD. Furthermore, TNF contributes to AD pathogenesis by mediating neuronal cell death. The inhibition of TNF-<italic>&#x03B1;</italic> holds potential as a therapeutic strategy to prevent AD and enhance cognitive function in populations at elevated risk for dementia (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). TNF can also upregulate the expression of IL-1, thereby increasing the production of precursor substances essential for the formation of amyloid plaques, neurofibrillary tangles, and Lewy bodies (<xref ref-type="bibr" rid="ref42">42</xref>). Additionally, TNF acts as a primary upstream mediator of inflammation within the choroid plexus tissue of AD patients (<xref ref-type="bibr" rid="ref41">41</xref>). Previous research has demonstrated that aspartame can induce the formation of the pro-inflammatory factor TNF-&#x03B1; in serum (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref43">43</xref>). Elevated levels of IL1&#x03B2; serve as pivotal mediators of inflammation and are expressed in the brain, particularly within the hippocampus, where they play an essential role in the regulation of memory and mood. Within the brain, IL1&#x03B2; is implicated in various processes, including neuronal proliferation, differentiation, apoptosis, and long-term potentiation (<xref ref-type="bibr" rid="ref44">44</xref>). IL1&#x03B2; is also involved in the pathogenesis of AD and has an impact on cognitive function (<xref ref-type="bibr" rid="ref44">44</xref>). Empirical studies have demonstrated that aspartame consumption can lead to an increase in the pro-inflammatory cytokine IL1&#x03B2; in the serum, thereby inducing systemic inflammation (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref43">43</xref>). MAPK3 is involved in the regulation of cytokine, neurotransmitter, and hormone signal transduction, influencing gene expression, cell proliferation, and apoptosis. In the context of AD, the activation of the MAPK3 signaling pathway is closely associated with excessive microglial activation and the release of pro-inflammatory factors, which are critical pathological features of the disease (<xref ref-type="bibr" rid="ref45">45</xref>). Inhibition of the MAPK3 pathway has been shown to reduce neuroinflammation and slow the progression of AD (<xref ref-type="bibr" rid="ref46">46</xref>). Relevant research has demonstrated that MEP may activate the MAPK3 pathway, leading to an increased production and release of inflammatory mediators, thereby exacerbating neuronal damage and accelerating the pathological progression of AD. Aspartame has been shown to elevate levels of inflammatory mediators, potentially causing neuronal damage and further accelerating the pathological process of AD (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). Apoptotic damage and subsequent cell death are critical factors in the neurodegeneration associated with AD. CASP3 plays a significant role in nervous system development and neuronal death under specific pathological conditions (<xref ref-type="bibr" rid="ref47">47</xref>). Furthermore, both <italic>in vitro</italic> and <italic>in vivo</italic> studies have reported elevated expression and activation of CASP3 in AD models. Studies have confirmed that aspartame can induce the upregulation of CASP3 expression and promote cell apoptosis (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Additionally, Mendelian studies have identified that increased expression of the PPARG gene in the blood serves as an important protective factor against early-onset AD (<xref ref-type="bibr" rid="ref49">49</xref>). ESR1 gene is ubiquitously expressed throughout the brain. Given the potential neuroprotective effects of estrogen, the ESR1 gene emerges as a candidate for modulating the development of AD (<xref ref-type="bibr" rid="ref50 ref51 ref52">50&#x2013;52</xref>). Notably, molecular docking studies have demonstrated that aspartame exhibits substantial binding affinity to these targets, indicating a possible direct interference with their physiological functions. Numerous experimental investigations have revealed that exposure to aspartame in animal models induces histopathological alterations across various brain regions, including increased oxidative stress markers and neuronal loss (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). Furthermore, these studies have identified impairments in memory and learning, alongside behavioral and emotional dysfunctions in the animal models (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). Abhilash M. et al. have highlighted that prolonged aspartame consumption can disrupt the antioxidant/pro-oxidant balance within the brain (<xref ref-type="bibr" rid="ref14">14</xref>). The accumulation of neurotoxic metabolites in the central nervous system following extended dietary exposure raises concerns regarding potential damage to the cerebral cortex associated with aspartame. Aspartame has been shown to up-regulate CASP3 expression while down-regulating BCL2 expression, indicating the activation of apoptotic pathways and consequently exacerbating detrimental effects on the central nervous system (<xref ref-type="bibr" rid="ref39">39</xref>). Furthermore, aspartame exposure is associated with elevated levels of pro-inflammatory cytokines, specifically TNF-<italic>&#x03B1;</italic> and IL1&#x03B2;, in the serum, which may precipitate systemic inflammation (<xref ref-type="bibr" rid="ref43">43</xref>). Empirical evidence from animal studies has substantiated the impact of chronic aspartame exposure on oxidative stress within the cerebral tissue of albino rats (<xref ref-type="bibr" rid="ref12">12</xref>). While molecular docking offers structural insights into target interactions, it is crucial to acknowledge the inherent limitations of computational simulations (<xref ref-type="bibr" rid="ref53">53</xref>). Factors including the static nature of protein conformations, solvation effects, and <italic>in vivo</italic> metabolic kinetics can significantly influence the actual binding scenarios. Consequently, these findings primarily function as mechanistic hypotheses and require further validation of their biological relevance through <italic>in vitro</italic> experiments, such as those involving microglial and neuronal cell lines, as well as in vivo studies using animal models like APP/PS1 transgenic mice.</p>
<p>KEGG pathway enrichment analysis suggests that aspartame may play a role in the pathological processes of AD by modulating multiple signaling pathways. The TNF signaling pathway is implicated not only in the neuroinflammation associated with AD but also in amyloid protein formation through the regulation of <italic>&#x03B2;</italic>-secretase (<xref ref-type="bibr" rid="ref40">40</xref>). Previous studies have demonstrated that aspartame can induce the production of the pro-inflammatory factor TNF-<italic>&#x03B1;</italic> in serum, thereby activating the TNF signaling pathway (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref54">54</xref>). The MAPK signaling pathway has significant effects on memory, neuroinflammatory programming, and synaptic plasticity (<xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref55">55</xref>). Consequently, clinical trials involving various MAPK inhibitors, which exhibit favorable safety profiles and minimal side effects, have yielded positive outcomes in AD patients, suggesting that targeting MAPK may effectively mitigate AD pathogenesis (<xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref56">56</xref>). Additionally, the PI3K/AKT signaling pathway has been identified as a pathway activated by multiple stimuli, including insulin, growth factors, cytokines, and cellular stress (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref57 ref58 ref59">57&#x2013;59</xref>). This pathway contributes to neuronal survival, regulates the phosphorylation of Tau protein, and facilitates the clearance of A&#x03B2; (<xref ref-type="bibr" rid="ref60">60</xref>). The TNF signaling pathway and the MAPK signaling pathway collectively constitute the central network of the inflammatory response. Notably, TNF-<italic>&#x03B1;</italic> can further amplify the inflammatory signal by activating the MAPK cascade. It is important to highlight that the MAPK signaling pathway also plays a role in regulating the phosphorylation level of Tau protein (<xref ref-type="bibr" rid="ref45">45</xref>). Dysregulation of these pathways results in the accumulation of A&#x03B2;, excessive phosphorylation of tau, and mitochondrial dysfunction, thereby forming a negative feedback loop that accelerates disease progression. Studies have indicated that aspartame may indirectly influence the formation of neurofibrillary tangles via this pathway. Research has demonstrated that aspartame can induce oxidative stress and activate these signaling pathways, modulating them through various mechanisms, including inflammation (TNF&#x03B1;, IL6, IL1&#x03B2;), enhanced oxidative stress (MDA), and the apoptotic pathway CASP3, ultimately leading to neuronal damage and promoting the onset and progression of AD (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>As a computational exploratory study, the core value of this research lies in generating verifiable hypotheses. Although we have made every effort to correlate the prediction results with previous experimental evidence, the network pharmacology method itself has inherent limitations, such as the inability to simulate the complex pharmacokinetics, blood&#x2013;brain barrier permeability and cell type specificity <italic>in vivo</italic>. The conclusion needs to be ultimately confirmed in subsequent experiments (<xref ref-type="bibr" rid="ref53">53</xref>). Subsequent research should be further expanded in the following areas: Firstly, the regulatory effects of aspartame on the expression and function of core targets such as TNF and CASP3 should be verified using cell models, with particular emphasis on its impact within the microglia&#x2013;neuron co-culture system. Secondly, transgenic animal models of AD should be employed to assess the in vivo effects of prolonged aspartame consumption on key pathological indicators, including A&#x03B2; deposition, Tau protein phosphorylation, and neuroinflammation. Finally, rigorous epidemiological studies should be designed to analyze the dose&#x2013;response relationship between varying levels of aspartame intake and the risk of cognitive decline or AD onset. Establishing such a multi-tiered experimental validation framework is essential for a comprehensive evaluation of aspartame&#x2019;s role as an environmental risk factor in the pathogenesis and progression of AD.</p>
</sec>
<sec sec-type="conclusions" id="sec14">
<label>5</label>
<title>Conclusion</title>
<p>This study employed a combined approach of network toxicology and molecular docking to speculate on the potential role of aspartame in the pathogenesis of AD. The research results speculate that aspartame may be involved in this pathological process through a series of biological mechanisms, including interfering with neuroinflammatory responses, apoptosis and oxidative stress. Current research merely provides speculative evidence for the potential neurotoxicity of aspartame, and further empirical verification of its biological functions is still needed. The subsequent research should integrate <italic>in vitro</italic> neuronal models, transgenic animal experiments and population-based epidemiological studies to speculate on the possible mechanisms and clinical significance of aspartame in the occurrence and development of AD from multiple perspectives.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec15">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>LG: Writing &#x2013; original draft, Data curation, Conceptualization. HS: Writing &#x2013; original draft, Investigation, Data curation, Methodology. JZ: Methodology, Data curation, Writing &#x2013; review &#x0026; editing, Investigation. LX: Resources, Software, Writing &#x2013; review &#x0026; editing, Project administration. LM: Validation, Writing &#x2013; review &#x0026; editing, Software, Visualization. ZJ: Supervision, Writing &#x2013; review &#x0026; editing, Conceptualization.</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec19">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/69194/overview">Auriel Willette</ext-link>, Rutgers, The State University of New Jersey, United States</p>
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<fn fn-type="custom" custom-type="reviewed-by" id="fn0009">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/905390/overview">Chen Li</ext-link>, Binzhou Medical University Hospital, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3208285/overview">Rahni Hossain</ext-link>, Walailak University, Thailand</p>
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