Alterations in gut and genital microbiota associated with gynecological diseases: a systematic review and meta-analysis

Abstract Background Increasing number of studies have demonstrated certain patterns of microbial changes in gynecological diseases; however, the interaction between them remains unclear. To evaluate the consistency or specificity across multiple studies on different gynecological diseases and microb...

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Main Authors: Ziwei Zhou (Author), Yifei Feng (Author), Lishan Xie (Author), Song Ma (Author), Zhaoxia Cai (Author), Ying Ma (Author)
Format: Book
Published: BMC, 2024-01-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Ziwei Zhou  |e author 
700 1 0 |a Yifei Feng  |e author 
700 1 0 |a Lishan Xie  |e author 
700 1 0 |a Song Ma  |e author 
700 1 0 |a Zhaoxia Cai  |e author 
700 1 0 |a Ying Ma  |e author 
245 0 0 |a Alterations in gut and genital microbiota associated with gynecological diseases: a systematic review and meta-analysis 
260 |b BMC,   |c 2024-01-01T00:00:00Z. 
500 |a 10.1186/s12958-024-01184-z 
500 |a 1477-7827 
520 |a Abstract Background Increasing number of studies have demonstrated certain patterns of microbial changes in gynecological diseases; however, the interaction between them remains unclear. To evaluate the consistency or specificity across multiple studies on different gynecological diseases and microbial alterations at different sites of the body (gut and genital tract), we conducted a systematic review and meta-analysis. Methods We searched PubMed, Embase, Web of Science, and Cochrane Library up to December 5, 2022(PROSPERO: CRD42023400205). Eligible studies focused on gynecological diseases in adult women, applied next-generation sequencing on microbiome, and reported outcomes including alpha or beta diversity or relative abundance. The random-effects model on standardized mean difference (SMD) was conducted using the inverse-variance method for alpha diversity indices. Results Of 3327 unique articles, 87 eligible studies were included. Significant decreases were found in gut microbiome of patients versus controls (observed species SMD=-0.35; 95%CI, -0.62 to -0.09; Shannon index SMD=-0.23; 95%CI, -0.40 to -0.06), whereas significant increases were observed in vaginal microbiome (Chao1 SMD = 1.15; 95%CI, 0.74 to 1.56; Shannon index SMD = 0.51; 95%CI, 0.16 to 0.86). Most studies of different diagnostic categories showed no significant differences in beta diversity. Disease specificity was observed, but almost all the changes were only replicated in three studies, except for the increased Aerococcus in bacterial vaginosis (BV). Patients with major gynecological diseases shared the enrichment of Prevotella and depletion of Lactobacillus, and an overlap in microbes was implied between BV, cervical intraepithelial neoplasia, and cervical cancer. Conclusions These findings demonstrated an association between alterations in gut and genital microbiota and gynecological diseases. The most observed results were shared alterations across diseases rather than disease-specific alterations. Therefore, further investigation is required to identify specific biomarkers for diagnosis and treatment in the future. 
546 |a EN 
690 |a 16S rRNA sequencing 
690 |a Diversity 
690 |a Dysbiosis 
690 |a Genital tract 
690 |a Gut microbiome 
690 |a Gynecological disease 
690 |a Gynecology and obstetrics 
690 |a RG1-991 
690 |a Reproduction 
690 |a QH471-489 
655 7 |a article  |2 local 
786 0 |n Reproductive Biology and Endocrinology, Vol 22, Iss 1, Pp 1-11 (2024) 
787 0 |n https://doi.org/10.1186/s12958-024-01184-z 
787 0 |n https://doaj.org/toc/1477-7827 
856 4 1 |u https://doaj.org/article/5b36db3f6c5d4bafba6a26d4bd7d410c  |z Connect to this object online.