ArticlePLoS computational biology2022
Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
52 citing papers in PubMed, 5 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Artificial intelligence for cervical cancer screening and diagnosis using Pap smear images: a systematic review.BMC cancer · 2026Pooled it
- Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection.Frontiers in cellular and infection microbiology · 2025Pooled it
- Leveraging existing 16S rRNA gene surveys to decipher microbial signatures and dysbiosis in cervical carcinogenesis.Scientific reports · 2024Pooled it
- Human papillomavirus, vaginal microbiota and metagenomics: the interplay between development and progression of cervical cancer.Frontiers in microbiology · 2024Pooled it
- Disturbances of Vaginal Microbiome Composition in Human Papillomavirus Infection and Cervical Carcinogenesis: A Qualitative Systematic Review.Frontiers in oncology · 2022Pooled it
- Integrated multi-omics analysis uncovers cervicovaginal ecological networks and their association withInfection and immunity · 2026Article
- The Vaginal Microbiome and Recurrent and Chronic Urinary Tract Infection.International urogynecology journal · 2026Review
- Bidirectional Interactions Between Cervicovaginal Microbiota and Human Papillomavirus Drive Persistence and Disease Progression.International journal of molecular sciences · 2026Review
- Translational Assessment of Omics Approaches in Endometriosis: Bridging Molecular Discovery with Clinical Utility.International journal of molecular sciences · 2026Review
- Vaginal aging: from concealed symptoms to defined biomarkers.npj aging · 2026Review
- Navigating multi-omic integration methods for human microbiome research.Nature microbiology · 2026Review
- The Women's Microbiome: Molecular Insights, Clinical Gaps, and Future Frontiers in Precision Health with Implications for Gulf Cooperation Council Populations.International journal of molecular sciences · 2026Review
- Integrated cross-sectional study and functional validation indicate the association of lactobacillus crispatus-derived D-lactic acid with cervical gene expression and precancerous cervical lesions.Journal of translational medicine · 2026Article
- Role of human papillomavirus (HPV) variants and host genetic susceptibility in cervical carcinogenesis.Archives of microbiology · 2026Review
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- Effect of coriolus versicolor-based vaginal gel on clearance of human papillomavirus and cervical dysplasia - a scoping review.BMC women's health · 2026Article
- Vaginal Microecological Imbalance, Human Papillomavirus Infection, and Cervical Carcinogenesis: Mechanisms and Clinical Implications.International journal of general medicine · 2026Review
- Decoding the reproductive microbiome: enabling clinical and biological insights through machine and deep learning.Frontiers in endocrinology · 2026Review
- Microbiome-Metabolome Crosstalk in HPV Pathogenesis: From Ecosystem Dynamics to Translational Biomarkers.Computational and structural biotechnology journal · 2026Review
- Eicosanoid-immunometabotypes reveal genotypic links to cervicovaginal pH in progestagen synchronised South African Dohne Merino ewes.Frontiers in veterinary science · 2026Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Emerging evidence suggests that host-microbe interaction in the cervicovaginal microenvironment contributes to cervical carcinogenesis, yet dissecting these complex interactions is challenging. Herein, we performed an integrated analysis of multiple "omics" datasets to develop predictive models of the cervicovaginal microenvironment and identify characteristic features of vaginal microbiome, genital inflammation and disease status. Microbiomes, vaginal pH, immunoproteomes and metabolomes were measured in cervicovaginal specimens collected from a cohort (n = 72) of Arizonan women with or without cervical neoplasm. Multi-omics integration methods, including neural networks (mmvec) and Random Forest supervised learning, were utilized to explore potential interactions and develop predictive models. Our integrated analyses revealed that immune and cancer biomarker concentrations were reliably predicted by Random Forest regressors trained on microbial and metabolic features, suggesting close correspondence between the vaginal microbiome, metabolome, and genital inflammation involved in cervical carcinogenesis. Furthermore, we show that features of the microbiome and host microenvironment, including metabolites, microbial taxa, and immune biomarkers are predictive of genital inflammation status, but only weakly to moderately predictive of cervical neoplastic disease status. Different feature classes were important for prediction of different phenotypes. Lipids (e.g. sphingolipids and long-chain unsaturated fatty acids) were strong predictors of genital inflammation, whereas predictions of vaginal microbiota and vaginal pH relied mostly on alterations in amino acid metabolism. Finally, we identified key immune biomarkers associated with the vaginal microbiota composition and vaginal pH (MIF), as well as genital inflammation (IL-6, IL-10, MIP-1α).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.