Liu Lenan, Yang Qian, Shen Panyuan, Wang Junsong, Zheng Qi, Zhang Guoying, Jin Bai
School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Department of Obstetrics, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
J Biomed Res. 2024 Nov 25:1-13. doi: 10.7555/JBR.38.20240267.
The current study aims to identify potential metabolic biomarkers that predict the progression to prediabetes in women with a history of gestational diabetes mellitus (GDM). We constructed a prediabetes group ( = 42) and a control group ( = 40) based on a2-hour 75 g oral glucose tolerance test for women with a history of GDM from six weeks to six months postpartum, and collected their clinical data and biochemical test results. We performed the plasma metabolomics analysis of the subjects at the fasting and 2-hour post-load time points by using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS/MS). We found that the prediabetes group was older and had higher 2-hour post-load glucose levels during pregnancy than the control group. The metabolomic analysis identified 164 differential metabolites between the groups. Compared with the control group, 15 metabolites in the prediabetes group exhibited consistent change trends at both time points, including three increased and 12 decreased metabolites. By building a prediction model of the progression from GDM to prediabetes, we found a combination of three clinical markers yielded an area under thecurve (AUC) of 0.71 (95% confidence interval [CI], 0.60-0.82). We also assessed the discriminative power of the panel of 15 metabolites for distinguishing between postpartum prediabetes and normal glucose tolerance of the subjects at the fasting (AUC, 0.98; 95% CI, 0.94-1.00) and 2-hour post-load (AUC, 0.99; 95% CI, 0.97-1.00) time points. The metabolic pathway analysis indicated that energy metabolism and branched-chain amino acids played a role in the development of prediabetes in women with a history of GDM during early postpartum. In conclusion, this study identified potential metabolic biomarkers and pathways associated with the progression from GDM to prediabetes in the early postpartum period. A panel of 15 metabolites showed promising discriminative power for distinguishing between postpartum prediabetes and normal glucose tolerance. These findings provide insights into the underlying pathophysiology of this transition and suggest the feasibility of developing a metabolic profiling test for the early identification of women at high risk of prediabetes following GDM.
本研究旨在识别有妊娠期糖尿病(GDM)病史的女性进展为糖尿病前期的潜在代谢生物标志物。我们根据产后六周至六个月有GDM病史女性的2小时75克口服葡萄糖耐量试验构建了糖尿病前期组(n = 42)和对照组(n = 40),并收集了她们的临床数据和生化检测结果。我们使用超高效液相色谱 - 四极杆飞行时间质谱(UHPLC - Q - TOF - MS/MS)在空腹和负荷后2小时时间点对受试者进行血浆代谢组学分析。我们发现糖尿病前期组年龄更大,且孕期负荷后2小时血糖水平高于对照组。代谢组学分析确定了两组之间的164种差异代谢物。与对照组相比,糖尿病前期组的15种代谢物在两个时间点均呈现一致的变化趋势,包括3种代谢物增加和12种代谢物减少。通过构建从GDM进展为糖尿病前期的预测模型,我们发现三种临床标志物的组合产生的曲线下面积(AUC)为0.71(95%置信区间[CI],0.60 - 0.82)。我们还评估了15种代谢物组合在空腹(AUC,0.98;95% CI,0.94 - 1.00)和负荷后2小时(AUC,0.99;95% CI,0.97 - 1.00)时间点区分受试者产后糖尿病前期和正常糖耐量的判别能力。代谢途径分析表明,能量代谢和支链氨基酸在产后早期有GDM病史的女性糖尿病前期发展中起作用。总之,本研究确定了与产后早期从GDM进展为糖尿病前期相关的潜在代谢生物标志物和途径。一组15种代谢物在区分产后糖尿病前期和正常糖耐量方面显示出有前景的判别能力。这些发现为这一转变的潜在病理生理学提供了见解,并表明开发一种代谢谱测试以早期识别GDM后糖尿病前期高危女性的可行性。