UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 11
November-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2511096


Registration ID:
570583

Page Number

a832-a850

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Title

ROLE OF VAGINAL MICROBIOME IN PREDICTING OVULATION

Abstract

The vaginal microbiome plays a crucial and dynamic role in maintaining reproductive health and reflects the hormonal fluctuations that define a woman’s menstrual cycle. This study aimed to investigate the cyclic variations in vaginal microbial composition and their potential as non-invasive biomarkers for predicting ovulation. A prospective observational study was conducted among thirty healthy women aged 20–35 years with regular menstrual cycles, from whom vaginal swabs were collected during the follicular (Day 5–7), ovulatory (Day 13–15, confirmed by LH surge), and luteal (Day 20–22) phases. DNA extraction was performed using the Qiagen DNA Mini Kit, and 16S rRNA sequencing of the V3–V4 region was carried out on the Illumina MiSeq platform, followed by taxonomic and diversity analyses. The results demonstrated significant phase-specific microbial transitions, with Lactobacillus crispatus dominating the follicular phase (60%), Lactobacillus iners prevailing during ovulation (70%), and Gardnerella vaginalis and Atopobium vaginae emerging in the luteal phase. A notable reduction in microbial diversity (Shannon Index 1.3 ± 0.3) and a strong positive correlation between L. iners abundance and estrogen levels (r = 0.71, p < 0.01) were observed during the ovulatory phase, indicating hormonally driven ecological restructuring. Machine learning models achieved 85.6% accuracy in predicting ovulation based on microbial profiles, confirming that vaginal microbial dynamics mirror endocrine rhythms. The study concludes that the vaginal microbiome acts as a biological chronometer capable of predicting ovulation with high precision, offering a promising, non-invasive, and biologically integrated tool for personalized fertility monitoring and reproductive health management.

Key Words

Keywords: Hormonal Fluctuations, Biomarkers, Correlation, Ovulation, Chronometer

Cite This Article

"ROLE OF VAGINAL MICROBIOME IN PREDICTING OVULATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.a832-a850, November-2025, Available :http://www.jetir.org/papers/JETIR2511096.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ROLE OF VAGINAL MICROBIOME IN PREDICTING OVULATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppa832-a850, November-2025, Available at : http://www.jetir.org/papers/JETIR2511096.pdf

Publication Details

Published Paper ID: JETIR2511096
Registration ID: 570583
Published In: Volume 12 | Issue 11 | Year November-2025
DOI (Digital Object Identifier):
Page No: a832-a850
Country: Chandigarh, Chandigarh, India .
Area: Medical Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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