Table · dataset · 2026
Table 1_Vaginal microbiota and functional prediction along the progression of cervical lesions in postmenopausal women.xlsx
Listed in figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.3389/fcimb.2026.1911664.s001
Description
Objective<p>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).</p>Methods<p>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.</p>Results<p>Among five groups of postmenopausal women, Shannon and Simpson alpha diversity indices were comparable, whereas Chao1/ACE richness differed significantly (p < 0.05).
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PERMANOVA showed no ASV-level beta diversity separation, with significant phylum-level divergence (R<sup>2</sup> = 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.</p>Conclusion<p>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.</p>
Links
Where it is published
- DOI doi.org/10.3389/fcimb.2026.1911664.s001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Clinical microbiology · Clinical microbiology · Clinical microbiology · Clinical microbiology · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science · Social Science
- Inferred from text
- Cancer 75% · Disease 75% · Sequencing 75% · Tabular 65%
Provenance · 4 source records, 45 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/34053597 | 12 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34053597 | 12 d ago | JSON v1 |
| GRANTS Data | oai:figshare.com:article/34053597 | 12 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34053597 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:320203 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Clinical Microbiology'] |
| concepts[field].anzsrc:field:320203 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Clinical Microbiology'] |
| concepts[field].anzsrc:field:320203 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Clinical Microbiology'] |
| concepts[field].anzsrc:field:320203 | mapping · grantsdata jst go jp | vocabulary-mapper@1.0.0 | keywords['Clinical Microbiology'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[modality].local:modality:sequencing | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |