Distinct vaginal microbial signatures in pregnancies complicated by antiphospholipid syndrome: depletion of <i>Lactobacillus johnsonii</i> and enrichment of <i>Bifidobacterium dentium</i>

. A logistic regression model integrating the relative abundances of these microbial biomarkers demonstrated robust diagnostic performance in differentiating pregnancies with APS from healthy pregnancies, with risk scores significantly correlating with clinical parameters and pregnancy outcomes. This study demonstrates that pregnant women with APS display a distinct vaginal microbiome pattern defined by species-specific compositional restructuring rather than global dysbiosis. These microbial alterations may contribute to APS-related pregnancy morbidity, highlighting vaginal microbial signatures as promising noninvasive biomarkers for risk stratification and potential therapeutic targets in obstetric APS management. IMPORTANCE: , a bacterium typically found in the gut. Unlike typical vaginal infections that display widespread microbial dysbiosis, antiphospholipid syndrome induces only selective alterations in specific bacterial species. These microbial signatures correlated with hematological parameters and adverse pregnancy histories, including prior miscarriages. Our findings suggest that monitoring vaginal microbiota could provide a simple, noninvasive approach to identify high-risk pregnancies in women with antiphospholipid syndrome and may guide novel screening strategies for pregnancy-related disorders targeting the vaginal microbiome.

Authors

Institutions

Publication Details

Journal
Microbiology Spectrum
Published
2026-03-31
DOI
https://doi.org/10.1128/spectrum.03882-25
Primary Topic
Systemic Lupus Erythematosus Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinct vaginal microbial signatures in pregnancies complicated by antiphospholipid syndrome: depletion of Lactobacillus johnsonii and enrichment of Bifidobacterium dentium

Wencheng Ding, J. T. Wu, Yuehua Chen, Nary Long et al.
Microbiology Spectrum
Systemic Lupus Erythematosus Research
article

Distinct vaginal microbial signatures in pregnancies complicated by antiphospholipid syndrome: depletion of Lactobacillus johnsonii and enrichment of Bifidobacterium dentium

Wencheng Ding, J. T. Wu, Yuehua Chen, Nary Long, Zhenzhen He, Junjie Yuan, Phannaroat Sourn, Shaoshuai Wang, Weikun Li, Yilin Fu, Zizhuo Wang, Weidong Tan
article en

Abstract

. A logistic regression model integrating the relative abundances of these microbial biomarkers demonstrated robust diagnostic performance in differentiating pregnancies with APS from healthy pregnancies, with risk scores significantly correlating with clinical parameters and pregnancy outcomes. This study demonstrates that pregnant women with APS display a distinct vaginal microbiome pattern defined by species-specific compositional restructuring rather than global dysbiosis. These microbial alterations may contribute to APS-related pregnancy morbidity, highlighting vaginal microbial signatures as promising noninvasive biomarkers for risk stratification and potential therapeutic targets in obstetric APS management. IMPORTANCE: , a bacterium typically found in the gut. Unlike typical vaginal infections that display widespread microbial dysbiosis, antiphospholipid syndrome induces only selective alterations in specific bacterial species. These microbial signatures correlated with hematological parameters and adverse pregnancy histories, including prior miscarriages. Our findings suggest that monitoring vaginal microbiota could provide a simple, noninvasive approach to identify high-risk pregnancies in women with antiphospholipid syndrome and may guide novel screening strategies for pregnancy-related disorders targeting the vaginal microbiome.

Microbiology SpectrumVol. 14(5)
Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 38%
Systemic Lupus Erythematosus Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.