The inferred modulation of correlated vaginal microbiota and metabolome by cervical differentially expressed genes across distinct CIN grades

Our findings provide valuable population-based evidence for the inferred modulation of correlated VM and metabolome by cervical DEGs across different CIN stages.

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Publication Details

Journal
BMC Microbiology
Published
2025-04-02
DOI
https://doi.org/10.1186/s12866-025-03922-8
Citations
2
Primary Topic
Reproductive tract infections research
Type
article
Field-Weighted Citation Impact
2.37

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article

The inferred modulation of correlated vaginal microbiota and metabolome by cervical differentially expressed genes across distinct CIN grades

Hui Du, Wenkui Dai, Ruifang Wu, Changzhong Li et al.
2 citations
BMC Microbiology
Reproductive tract infections research
2.37
article

The inferred modulation of correlated vaginal microbiota and metabolome by cervical differentially expressed genes across distinct CIN grades

Hui Du, Wenkui Dai, Ruifang Wu, Changzhong Li, Jun Hou, Di Wu, Xin Jiang, Ruinan Xu, Chunlei Guo, Yu Liu
article en
2 citations

Abstract

Our findings provide valuable population-based evidence for the inferred modulation of correlated VM and metabolome by cervical DEGs across different CIN stages.

BMC MicrobiologyVol. 25(1)
Shenzhen Institute of Information Technology (CN), Southern University of Science and Technology (CN), HKUST Shenzhen Research Institute (CN), Shenzhen Center for Disease Control and Prevention (CN), Peking University Shenzhen Hospital (CN), Shenzhen Technology University (CN), University of Hong Kong (HK)
Peking University, Shenzhen Science and Technology Innovation Program
Zero hunger
Openalex Percentile: Top 13%
Reproductive tract infections research
2.37
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The inferred modulation of correlated vaginal microbiota and metabolome by cervical differentially expressed genes across distinct CIN grades — Hui Du, Wenkui Dai, et al. · BMC Microbiology (2025) | TGRS Research Map | TGRS