Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.
Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.
J Proteome Res. 2021 Nov 5;20(11):5103-5114. doi: 10.1021/acs.jproteome.1c00585. Epub 2021 Oct 26.
Gene products can affect the concentrations of small molecules (aka "metabolites"), and conversely, some metabolites can modulate the concentrations of gene transcripts. While many specific instances of this interplay have been revealed, a global approach to systematically uncover human gene-metabolite interactions is still lacking. We performed a metabolome- and transcriptome-wide association study to identify genes influencing the human metabolome using untargeted metabolome features, extracted from H nuclear magnetic resonance spectroscopy (NMR) of urine samples, and gene expression levels, quantified from RNA-Seq of lymphoblastoid cell lines (LCL) from 555 healthy individuals. We identified 20 study-wide significant associations corresponding to 15 genes, of which 5 associations (with 2 genes) were confirmed with follow-up NMR data. Using metabomatching, we identified the metabolites corresponding to metabolome features associated with the genes, namely, N-acetylated compounds with and trimethylamine (TMA) with . Finally, Mendelian randomization analysis supported a potential causal link between the expression of genes in both the - and -loci and their associated metabolite concentrations. In the case of , we additionally observed that TMA concentration likely exhibits a reverse causal effect on expression levels, indicating a negative feedback loop. Our study highlights how the integration of metabolomics, gene expression, and genetic data can pinpoint causal genes modulating metabolite concentrations.
基因产物可以影响小分子(又名“代谢物”)的浓度,反之,一些代谢物可以调节基因转录物的浓度。虽然已经揭示了许多这种相互作用的具体实例,但仍缺乏一种全面的方法来系统地发现人类基因-代谢物相互作用。我们进行了代谢组学和转录组学全关联研究,使用来自 555 名健康个体的尿液样本中提取的非靶向代谢组学特征和来自淋巴母细胞系 (LCL) 的 RNA-Seq 定量的基因表达水平,来鉴定影响人类代谢组的基因。我们确定了 20 个研究范围广泛的关联,对应 15 个基因,其中 5 个关联(与 2 个基因)通过后续的 NMR 数据得到了证实。使用代谢匹配,我们确定了与基因相关的代谢组学特征对应的代谢物,即与 相关的 N-乙酰化化合物和与 相关的三甲胺 (TMA)。最后,孟德尔随机化分析支持了 -和 -基因座中基因表达与其相关代谢物浓度之间的潜在因果关系。在 的情况下,我们还观察到 TMA 浓度可能对 表达水平产生反向因果效应,表明存在负反馈回路。我们的研究强调了如何整合代谢组学、基因表达和遗传数据来确定调节代谢物浓度的因果基因。