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        <datestamp>2026-10-02T04:37:28Z</datestamp>
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          <dc:title>Table 1_Vaginal microbiota and functional prediction along the progression of cervical lesions in postmenopausal women.xlsx</dc:title>
          <dc:creator>Yanjia Liu (18593477)</dc:creator>
          <dc:creator>Cailing Ma (10171002)</dc:creator>
          <dc:creator>Lijuan Quan (7190306)</dc:creator>
          <dc:creator>Yan Li (23143)</dc:creator>
          <dc:creator>Yanling Zhou (647342)</dc:creator>
          <dc:creator>Renqi Zhang (25161477)</dc:creator>
          <dc:creator>Lipeng Zhang (138745)</dc:creator>
          <dc:creator>Yinawati Tuerxun (25161480)</dc:creator>
          <dc:subject>Clinical Microbiology</dc:subject>
          <dc:subject>cervical cancer</dc:subject>
          <dc:subject>cervical squamous intraepithelial lesion</dc:subject>
          <dc:subject>HPV infection</dc:subject>
          <dc:subject>Nanopore sequencing</dc:subject>
          <dc:subject>postmenopausal women</dc:subject>
          <dc:subject>vaginal microbiota</dc:subject>
          <dc:description>Objective&lt;p&gt;To investigate the changes in vaginal microbiota in postmenopausal women from Xinjiang, China, with high-risk human papillomavirus (HPV) infection, cervical squamous intraepithelial lesion, and cervical cancer (CC).&lt;/p&gt;Methods&lt;p&gt;This study enrolled healthy postmenopausal women (HC group, n=25), postmenopausal women with high-risk HPV infection (HPV group, n=25), low-grade squamous intraepithelial lesion (LSIL group, n=25), high-grade squamous intraepithelial lesion (HSIL group, n=25), and cervical cancer (CC group, n=25). DNA was extracted from vaginal secretions, and full-length 16S rRNA gene sequencing was performed on the Nanopore platform. The EasyAmplicon 2 pipeline was used for sequence processing and taxonomic annotation, PICRUSt2 was used for functional prediction, and R software was used for vaginal microbiota diversity and statistical analyses.&lt;/p&gt;Results&lt;p&gt;Among five groups of postmenopausal women, Shannon and Simpson alpha diversity indices were comparable, whereas Chao1/ACE richness differed significantly (p &lt; 0.05). PERMANOVA showed no ASV-level beta diversity separation, with significant phylum-level divergence (R&lt;sup&gt;2&lt;/sup&gt; = 0.105, p = 0.001). Lactobacillus iners dominated all samples but decreased in CC, alongside elevated opportunistic pathogens. LEfSe screened group-specific taxa: L. johnsonii (HC), Dialister pneumosintes (LSIL), Candidatus Saccharibacteria (HSIL), and Streptococcus spp./Bacteroides fragilis (CC). HC vs CC contained the most DABs (35), and LSIL vs HSIL the fewest (13). Co-occurrence network complexity peaked in LSIL/HSIL (41 correlated pairs) and declined in CC (28 pairs). Ninety-two differential KEGG pathways were identified, with 60 enriched in LSIL. L. iners displayed dual correlations with diverse metabolic pathways, indicating comprehensive remodeling of vaginal microbiota structure, interactions and functions across progressive cervical lesions.&lt;/p&gt;Conclusion&lt;p&gt;Vaginal microbiota undergoes progressive dysbiosis during the progression from high-risk HPV infection to CC in postmenopausal women. Distinct microbial alterations are observed at each disease stage, with substantial functional remodeling occurring at the LSIL stage. These findings provide a reference for early intervention and research on microbial biomarkers.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-02T04:37:28Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fcimb.2026.1911664.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Table_1_Vaginal_microbiota_and_functional_prediction_along_the_progression_of_cervical_lesions_in_postmenopausal_women_xlsx/34053597</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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