Yao Weirong, Wen Ruijing, Huang Zhufeng, Huang Xuhong, Chen Kai, Hu Yuchao, Li Qianbei, Zhu Weiqian, Ou Dejin, Bai Huanlan
The Second Hospital of Zhangzhou, Zhangzhou, China.
Nanfang Hospital, Southern Medical University, Guangzhou, China.
Microbiol Spectr. 2025 Aug 5;13(8):e0339024. doi: 10.1128/spectrum.03390-24. Epub 2025 Jul 1.
Gestational diabetes mellitus (GDM) is a metabolic disorder that poses substantial risks to both maternal and fetal health. Early intervention has been shown to effectively reduce various complications. Gut microbiota dysbiosis is strongly linked to the onset and progression of GDM and may serve as a critical early-warning biomarker. In this study, we systematically analyzed the fecal microbiota of 61 pregnant women during the first trimester using 16S rRNA sequencing. These microbial profiles were correlated with oral glucose tolerance test (OGTT) results at 24-28 weeks of gestation and clinical delivery outcomes. Our analysis identified significant differences in gut microbiota composition between GDM and healthy pregnancies, observed at both the phylum and genus levels early in gestation. Leveraging these microbial distinctions, we developed an early diagnostic model based on genus-level markers, achieving an area under the curve (AUC) of 98.23, indicating high diagnostic precision. This study highlights early-pregnancy microbiota signatures associated with GDM and provides a robust scientific basis for developing microbiota-based diagnostic tools, offering new avenues for GDM prevention and management.
Gestational diabetes mellitus (GDM) poses significant risks to both maternal and fetal health, but early intervention can reduce complications. This study identifies gut microbiota signatures associated with GDM in the first trimester, providing a potential early diagnostic biomarker. By analyzing fecal microbiota profiles, we developed a diagnostic model with high accuracy (AUC = 98.23). These findings suggest that microbiota-based tools could enable early, non-invasive detection of GDM, offering new opportunities for prevention and personalized management. This research highlights the role of the gut microbiome in pregnancy and has important implications for improving maternal and fetal health outcomes.
妊娠期糖尿病（GDM）是一种代谢紊乱疾病，对母婴健康构成重大风险。早期干预已被证明能有效减少各种并发症。肠道微生物群失调与GDM的发生和发展密切相关，可能作为关键的早期预警生物标志物。在本研究中，我们使用16S rRNA测序系统分析了61名孕妇孕早期的粪便微生物群。这些微生物图谱与妊娠24 - 28周时的口服葡萄糖耐量试验（OGTT）结果及临床分娩结局相关。我们的分析确定了GDM与正常妊娠之间肠道微生物群组成在门和属水平上的显著差异，这些差异在妊娠早期即可观察到。利用这些微生物差异，我们开发了一种基于属水平标志物的早期诊断模型，曲线下面积（AUC）为98.23，表明诊断精度高。本研究突出了与GDM相关的孕早期微生物特征，为开发基于微生物群的诊断工具提供了有力的科学依据，为GDM的预防和管理提供了新途径。
妊娠期糖尿病（GDM）对母婴健康构成重大风险，但早期干预可减少并发症。本研究确定了孕早期与GDM相关的肠道微生物特征，提供了一种潜在的早期诊断生物标志物。通过分析粪便微生物群图谱，我们开发了一种高精度的诊断模型（AUC = 98.23）。这些发现表明，基于微生物群的工具能够实现GDM的早期非侵入性检测，为预防和个性化管理提供新机会。本研究突出了肠道微生物群在妊娠中的作用，对改善母婴健康结局具有重要意义。
