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布拉德福德出生队列中的代谢组学数据集。

Metabolomics datasets in the Born in Bradford cohort.

作者信息

Taylor Kurt, McBride Nancy, J Goulding Neil, Burrows Kimberley, Mason Dan, Pembrey Lucy, Yang Tiffany, Azad Rafaq, Wright John, A Lawlor Deborah

机构信息

Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK.

出版信息

Wellcome Open Res. 2021 Sep 10;5:264. doi: 10.12688/wellcomeopenres.16341.1. eCollection 2020.

Abstract

Metabolomics is the quantification of small molecules, commonly known as metabolites. Collectively, these metabolites and their interactions within a biological system are known as the metabolome. The metabolome is a unique area of study, capturing influences from both genotype and environment. The availability of high-throughput technologies for quantifying large numbers of metabolites, as well as lipids and lipoprotein particles, has enabled detailed investigation of human metabolism in large-scale epidemiological studies. The Born in Bradford (BiB) cohort includes 12,453 women who experienced 13,776 pregnancies recruited between 2007-2011, their partners and their offspring. In this data note, we describe the metabolomic data available in BiB, profiled during pregnancy, in cord blood and during early life in the offspring. These include two platforms of metabolomic profiling: nuclear magnetic resonance and mass spectrometry. The maternal measures, taken at 26-28 weeks' gestation, can provide insight into the metabolome during pregnancy and how it relates to maternal and offspring health. The offspring cord blood measurements provide information on the fetal metabolome. These measures, alongside maternal pregnancy measures, can be used to explore how they may influence outcomes. The infant measures (taken around ages 12 and 24 months) provide a snapshot of the early life metabolome during a key phase of nutrition, environmental exposures, growth, and development. These metabolomic data can be examined alongside the BiB cohorts' extensive phenotype data from questionnaires, medical, educational and social record linkage, and other 'omics data.

摘要

代谢组学是对小分子(通常称为代谢物)的定量分析。这些代谢物及其在生物系统中的相互作用统称为代谢组。代谢组是一个独特的研究领域,反映了基因型和环境的影响。用于定量大量代谢物以及脂质和脂蛋白颗粒的高通量技术的出现,使得在大规模流行病学研究中能够对人类代谢进行详细研究。布拉德福德出生队列(BiB)包括12453名女性,她们在2007年至2011年期间经历了13776次怀孕,以及她们的伴侣和后代。在本数据说明中,我们描述了BiB中可用的代谢组学数据,这些数据是在孕期、脐带血和后代生命早期进行分析的。这些数据包括两个代谢组分析平台:核磁共振和质谱。在妊娠26至28周时进行的母体测量,可以深入了解孕期的代谢组及其与母体和后代健康的关系。后代脐带血测量提供了胎儿代谢组的信息。这些测量结果与母体孕期测量结果一起,可以用来探索它们如何影响结局。婴儿测量(在12个月和24个月左右进行)提供了在营养、环境暴露、生长和发育的关键阶段早期生命代谢组的概况。这些代谢组学数据可以与BiB队列中来自问卷、医疗、教育和社会记录链接的广泛表型数据以及其他“组学”数据一起进行研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a662/11390101/ffb5b75a7194/wellcomeopenres-5-18489-g0000.jpg

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