母体和胎儿蛋白质组对出生体重的影响:孟德尔随机化分析。

Nancy McBride, Alba Fernández-Sanlés, Marwa Al Arab, Tom A Bond, Jie Zheng, Maria C Magnus, Elizabeth C Corfield, Gemma L Clayton, Liang-Dar Hwang, Robin N Beaumont, David M Evans, Rachel M Freathy, Tom R Gaunt, Deborah A Lawlor, Maria Carolina Borges
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引用次数: 0

摘要

胎儿生长是胎儿存活的指标,受母体和胎儿因素的调节,但对潜在的分子机制知之甚少。我们使用孟德尔随机化,利用全基因组关联汇总数据(n=406063,具有母体和/或胎儿基因型)、独立复制(n=74932,母亲和n=62108后代)和共定位,探索母体和胎儿基因修饰血浆蛋白对出生体重的影响。较高的遗传预测母体PCSK1水平增加了出生体重(平均差异:每1个标准偏差蛋白质水平9克(95%置信区间:5克,13克))。母体较高水平的LGALS4降低了出生体重(-54克(-29克,-80克)),VCAM1、RAD51D和GP1BA也是如此。在后代中,遗传预测的胎儿LGALS4水平较高(46克(23克,70克))会增加出生体重,同时增加FCGR2B。较高的后代PCSK1水平降低了出生体重(-9克(-16克,4克),同时降低了LEPR。结果支持母体和胎儿蛋白质对出生体重的影响,涉及葡萄糖代谢、能量稳态、内皮功能和脂肪细胞分化的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of the maternal and fetal proteome on birth weight: a Mendelian randomization analysis.

Background: Fetal growth is an important indicator of survival, regulated by maternal and fetal genetic and environmental factors. However, little is known about the underlying molecular mechanisms. Proteins play a major role in a wide range of biological processes and could provide key insights into maternal and fetal molecular mechanisms regulating fetal growth.

Method: We used intergenerational two-sample Mendelian randomization to explore the effects of 1,139 maternal and fetal genetically-instrumented plasma proteins on birth weight. We used genome-wide association summary data from the Early Growth Genetics (EGG) consortium (n=406,063 with maternal and/or fetal genotype), with independent replication in the Norwegian Mother, Father and Child Cohort Study (MoBa; n=74,932 mothers and n=62,108 offspring). Maternal and fetal data were adjusted for the correlation between fetal and maternal genotype, to distinguish their independent genetic effects.

Results: We found that higher genetically-predicted maternal levels of NEC1 increased birth weight (mean-difference: 12g (95% CI [6g, 18g]) per 1 standard deviation protein level) as did PRS57 (20g [10g, 31g]) and ULK3 (140g [81g, 199g]). Higher maternal levels of Galectin_4 decreased birth weight (-206g [-299g, -113g]). In contrast, in the offspring, higher genetically-predicted offspring levels of NEC1 decreased birth weight (-10g [-16g, -5g]), alongside sLeptin_R (-8g [-12g, -4g]), and UBS3B (-78g [-116g, -41g]). Higher fetal levels of Galectin_4 increased birth weight (174g [89g, 258g]). We replicated these results in MoBa, and found supportive evidence for shared causal variants from genetic colocalization analyses and protein-protein network associations.

Conclusions: We find strong evidence for causal effects, sometimes in opposing directions, of maternal and fetal genetically-instrumented proteins on birth weight. These provide new insights into maternal and fetal molecular mechanisms regulating fetal growth, involving glucose metabolism, energy balance, and vascular function that could be used to identify new intervention targets to reduce the risk of fetal growth disorders, and their associated adverse maternal and fetal outcomes.

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