The vaginal microbiota associates with the regression of untreated cervical intraepithelial neoplasia 2 lesions

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Anita Mitra
David A. MacIntyre
George Ntritsos
Ann Smith
Konstantinos K. Tsilidis
Julian R. Marchesi
Phillip R. Bennett
Anna-Barbara Moscicki
Maria Kyrgiou
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[1] Imperial College,Institute for Reproductive and Developmental Biology
[2] Imperial College Healthcare NHS Trust,Queen Charlotte’s and Chelsea Hospital and Hammersmith Hospital
[3] Imperial College London,March of Dimes Prematurity Research Centre
[4] University of Ioannina School of Medicine,Department of Hygiene and Epidemiology
[5] Cardiff University,Division of Population Medicine
[6] Imperial College London,Department of Epidemiology and Biostatistics, School of Public Health
[7] Cardiff University,School of Biosciences
[8] Imperial College London,Division of Integrative Systems Medicine and Digestive Disease, St. Mary’s Hospital
[9] UCLA Mattel Children’s Hospital,Ronald Reagan UCLA Medical Center
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摘要
Emerging evidence suggests associations between the vaginal microbiota (VMB) composition, human papillomavirus (HPV) infection, and cervical intraepithelial neoplasia (CIN); however, causal inference remains uncertain. Here, we use bacterial DNA sequencing from serially collected vaginal samples from a cohort of 87 adolescent and young women aged 16–26 years with histologically confirmed, untreated CIN2 lesions to determine whether VMB composition affects rates of regression over 24 months. We show that women with a Lactobacillus-dominant microbiome at baseline are more likely to have regressive disease at 12 months. Lactobacillus spp. depletion and presence of specific anaerobic taxa including Megasphaera, Prevotella timonensis and Gardnerella vaginalis are associated with CIN2 persistence and slower regression. These findings suggest that VMB composition may be a future useful biomarker in predicting disease outcome and tailoring surveillance, whilst it may offer rational targets for the development of new prevention and treatment strategies.
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