Guan Wenzheng, Zhou Tian, Jiao Jiao, Xiao Liwen, Wang Zhen, Liu Siyuan, Yan Fujie, Zhao Fangqing, Wang Xiuxia
Center of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Shenyang Reproductive Health Clinical Medicine Research Center, Shenyang, China.
NPJ Biofilms Microbiomes. 2025 Jan 8;11(1):6. doi: 10.1038/s41522-024-00639-w.
This study aims to evaluate differences in gut microbiota structures between infertile women undergoing frozen embryo transfer (FET) with gestational diabetes mellitus (GDM) and healthy controls (HCs), and to identify potential markers. We comprehensively enrolled 193 infertile women undergoing FET (discovery cohort: 38 HCs and 31 GDM; validation cohort: 85 HCs and 39 GDM). Gut microbial profiles of the discovery cohort were investigated during the pre-pregnancy (Pre), first trimester (T1), and second trimester (T2). The microbial community in the HCs group remained relatively stable throughout the pregnancy, while the microbial structure alteration occurred in the GDM group during T2. A model based on ten bacteria and ten metabolites simultaneously was used to predict the risk of GDM developing in the pre-pregnancy state with the ROC value of 0.712. Algorithms on the basis of marker species and biochemical parameters can be used as effective tools for GDM risk evaluation before pregnancy.
本研究旨在评估接受冻融胚胎移植（FET）并患有妊娠期糖尿病（GDM）的不孕女性与健康对照（HCs）之间肠道微生物群结构的差异，并确定潜在标志物。我们全面招募了193名接受FET的不孕女性（发现队列：38名HCs和31名GDM；验证队列：85名HCs和39名GDM）。在孕前（Pre）、孕早期（T1）和孕中期（T2）对发现队列的肠道微生物谱进行了研究。HCs组的微生物群落在整个孕期保持相对稳定，而GDM组在T2期出现了微生物结构改变。基于十种细菌和十种代谢物的模型同时用于预测孕前状态下发生GDM的风险，ROC值为0.712。基于标志物种类和生化参数的算法可作为孕前GDM风险评估的有效工具。
