Characteristics of Vaginal Microbiome in Reproductive-Age Females with HPV Infection in Xinjiang, China

Xia, Yan; Feng, Ying; Qin, Tianhua; Zhao, Xiaohua; Lü, Jing; Ma, Cailing

doi:10.1155/2022/7332628

Cited by 7 publications

(5 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Shuttleworthia has been linked to the incidence of PTB [48], although its precise pathogenic mechanism is yet to be determined [49]. Shuttleworthia was absent in the vaginal microbiota of Asian and Indian women.…”

Section: Discussionmentioning

confidence: 99%

Biomarker Identification for Preterm Birth Susceptibility: Vaginal Microbiome Meta‐Analysis Using Systems Biology and Machine Learning Approaches

Kulshrestha,

Narad,

Singh

et al. 2024

American J Rep Immunol

View full text Add to dashboard Cite

ProblemThe vaginal microbiome has a substantial role in the occurrence of preterm birth (PTB), which contributes substantially to neonatal mortality worldwide. However, current bioinformatics approaches mostly concentrate on the taxonomic classification and functional profiling of the microbiome, limiting their abilities to elucidate the complex factors that contribute to PTB.Method of studyA total of 3757 vaginal microbiome 16S rRNA samples were obtained from five publicly available datasets. The samples were divided into two categories based on pregnancy outcome: preterm birth (PTB) (N = 966) and term birth (N = 2791). Additionally, the samples were further categorized based on the participants’ race and trimester. The 16S rRNA reads were subjected to taxonomic classification and functional profiling using the Parallel‐META 3 software in Ubuntu environment. The obtained abundances were analyzed using an integrated systems biology and machine learning approach to determine the key microbes, pathways, and genes that contribute to PTB. The resulting features were further subjected to statistical analysis to identify the top nine features with the greatest effect sizes.ResultsWe identified nine significant features, namely Shuttleworthia, Megasphaera, Sneathia, proximal tubule bicarbonate reclamation pathway, systemic lupus erythematosus pathway, transcription machinery pathway, lepA gene, pepX gene, and rpoD gene. Their abundance variations were observed through the trimesters.ConclusionsVaginal infections caused by Shuttleworthia, Megasphaera, and Sneathia and altered small metabolite biosynthesis pathways such as lipopolysaccharide folate and retinal may increase the susceptibility to PTB. The identified organisms, genes, pathways, and their networks may be specifically targeted for the treatment of bacterial infections that increase PTB risk.

show abstract

Section: Discussionmentioning

confidence: 99%

Biomarker Identification for Preterm Birth Susceptibility: Vaginal Microbiome Meta‐Analysis Using Systems Biology and Machine Learning Approaches

Kulshrestha,

Narad,

Singh

et al. 2024

American J Rep Immunol

View full text Add to dashboard Cite

show abstract

“…With regard to vaginal microbiome composition, 10 studies provided data on Chao1 in patients (n = 656) versus controls (n = 736), and there was a significant increase in patients (SMD = 1.15, [95%CI: 0.74, 1.56], I 2 = 91%) (Fig. 3A) [50][51][52][53][54][55][56][57][58][59]. Data on Shannon index were reported by 17 studies in patients (n = 771) versus controls (n = 925) [39,50,51,[53][54][55][56][57][58][59][60][61][62][63][64][65][66].…”

Section: Alpha Diversitymentioning

confidence: 99%

“…3A) [50][51][52][53][54][55][56][57][58][59]. Data on Shannon index were reported by 17 studies in patients (n = 771) versus controls (n = 925) [39,50,51,[53][54][55][56][57][58][59][60][61][62][63][64][65][66]. The pooled estimate demonstrated a significant increase in patients (SMD = 0.51, [95%CI: 0.16, 0.86], I 2 = 91%) (Fig.…”

Section: Alpha Diversitymentioning

confidence: 99%

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

Zhou,

Feng,

Xie

et al. 2024

Reprod Biol Endocrinol

View full text Add to dashboard Cite

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.

show abstract

“…In a cohort of 135 Chinese women of reproductive age in Xinjiang comprising 43 healthy HPV-negative, 58 HPV-positive with no lesions, and 34 HPV-positive participants with low-grade squamous intraepithelial lesions, the structure of the vaginal microbiota was found to change in persistent HPV infections in asymptomatic women. In women with low-grade squamous intraepithelial lesions, the dominance of L. iners and the presence of Shuttleworthia may be markers for HPV infection [95].…”

Section: Lactobacillus Ssp Protective Rolementioning

confidence: 99%

The Vaginal Microbiome during Pregnancy in Health and Disease

Mendz

2023

Applied Microbiology

View full text Add to dashboard Cite

This study appraises the progress in the understanding of the composition of the vaginal microflora with a focus on the microbiome during pregnancy. This knowledge is presented with the background of the global health contribution, along with the importance of these microbial communities to pregnancy. A brief review of current methods employed to investigate the structure of these microbial populations is included. Two types of studies, cross-sectional and longitudinal, have been used to characterise the vaginal microbiota; both types are reviewed since they provide information that serves to piece together a more complete picture of the vaginal microflora and its changes during pregnancy. The identity of microbes present in the vagina are examined in the context of health and disease, and, more specifically, in the setting of pregnancy outcomes. The protective role of lactobacilli in maintaining a healthy vaginal environment is evaluated, with analyses of the different roles of various Lactobacillus spp. Classifications of the vaginal microbiota into vagitypes in non-pregnant and pregnant women are discussed. The associations of specific taxa with three adverse pregnancy results, namely, miscarriage, stillbirth, and preterm birth, are examined in some detail. Longitudinal studies investigating changes in the bacterial community composition and taxa abundance demonstrate that this microbiota decreases in richness and diversity relative to those present in non-pregnant microbiomes. Notwithstanding the significant effort made to characterise the vagina bacterial microbiota, a large number of issues remain to be fully understood.

show abstract

Characteristics of Vaginal Microbiome in Reproductive-Age Females with HPV Infection in Xinjiang, China

Cited by 7 publications

References 37 publications

Biomarker Identification for Preterm Birth Susceptibility: Vaginal Microbiome Meta‐Analysis Using Systems Biology and Machine Learning Approaches

Biomarker Identification for Preterm Birth Susceptibility: Vaginal Microbiome Meta‐Analysis Using Systems Biology and Machine Learning Approaches

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

The Vaginal Microbiome during Pregnancy in Health and Disease

Contact Info

Product

Resources

About