Plasma Proteomics Analysis of Early Biomarkers for Predicting Female Fecundability: A Nested Case-Control Study

危险系数 生育率 比例危险模型 队列研究 接收机工作特性 队列 医学 生物 人口学 内科学 置信区间 环境卫生 人口 社会学
作者
Lingling Huang,Hong Xiang,Xuening Zhang,Hongqiao Li,Xinru Wang,Yu Zhang,Jing Wang,Bei Wang
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:23 (9): 4102-4113
标识
DOI:10.1021/acs.jproteome.4c00460
摘要

The present study aimed to identify and verify new plasma protein markers to predict the female fecundability level. A nested case-control study was conducted involving couples who participated in the Chinese National Free Preconception Check-up Project. Women who successfully conceive within one year were defined as the high fecundability group, and those unable to conceive were defined as the low fecundability group. In the training cohort, potential protein biomarkers were identified using proteomics technology and were further tested in a validation cohort by the Western blotting assay, enzyme-linked immunosorbent assay, and biochemical tests. Meanwhile, receiver operating characteristic curve analysis were used to evaluate the predictive value. Cox proportional hazard regression analyses were conducted to calculate hazard ratios; restricted cubic spline analysis was used to assess the linear relationship between the the protein level and hazard ratios for fecundability. Pyruvate, a key product of glycolysis, was significantly increased in the high fecundability group (P < 0.01) compared to the low fecundability group, and its area under the curve value was 0.68 (P < 0.05). There was a linear positive dose–response association between the pyruvate level and fecundability possibility (hazard ratios = 1.66, 95% CI: 1.07–2.59, p for trend = 0.025, nonlinearity, p-value = 0.2927).
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