Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology · 2026
Characterization of the follicular fluid microbiome in endometriosis patients undergoing in vitro fertilization.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Zhao Wenjie, Zhang Yan, Ma Huagang, Sun Pingping, Zhang Yuhua
Аннотация
BACKGROUND: Endometriosis (EMs) is a common gynecological disorder associated with infertility. EMs patients often require assisted reproductive technology (ART) but exhibit lower success rates. This study aimed to characterize the follicular fluid microbiome in EMs patients undergoing in vitro fertilization (IVF) and provide insights into mechanisms underlying lower pregnancy rates.
METHODS: Follicular fluid samples were collected from EMs patients and control subjectsundergoing IVF. Microbial DNA was subjected to 16S rRNA gene sequencing. Bioinformatic analyses, including alpha and beta diversity analysis, microbial composition profiling and biomarker identification, were performed.
RESULTS: The follicular fluid microbiome in EMs patients exhibited altered alpha and beta diversity compared to controls. Distinct microbial compositions were observed at various taxonomic levels. Differentially abundant taxa were identified as potential biomarkers for EMs. Microbial profiles were associated with clinical parameters such as oocyte quality and fertilization rates. Models based on microbial profiles were constructed to elucidate the relationship between EMs and IVF outcomes. Functional predictions suggested alterations in metabolic pathways in the follicular fluid microbiome of EMs patients.
CONCLUSIONS: This study revealed significant alterations in the follicular fluid microbiome of EMs patients, providing a basis for further research into the role of the microbiome in EMs-related infertility.
METHODS: Follicular fluid samples were collected from EMs patients and control subjectsundergoing IVF. Microbial DNA was subjected to 16S rRNA gene sequencing. Bioinformatic analyses, including alpha and beta diversity analysis, microbial composition profiling and biomarker identification, were performed.
RESULTS: The follicular fluid microbiome in EMs patients exhibited altered alpha and beta diversity compared to controls. Distinct microbial compositions were observed at various taxonomic levels. Differentially abundant taxa were identified as potential biomarkers for EMs. Microbial profiles were associated with clinical parameters such as oocyte quality and fertilization rates. Models based on microbial profiles were constructed to elucidate the relationship between EMs and IVF outcomes. Functional predictions suggested alterations in metabolic pathways in the follicular fluid microbiome of EMs patients.
CONCLUSIONS: This study revealed significant alterations in the follicular fluid microbiome of EMs patients, providing a basis for further research into the role of the microbiome in EMs-related infertility.