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在爱沙尼亚人类基因敲除研究中发现的血浆代谢异常值。

Plasma Metabolic Outliers Identified in Estonian Human Knockouts.

作者信息

Yu Ketian, Estrada Karol, Esko Tõnu, Kals Mart, Nikopensius Tiit, Kronberg Jaanika, Võsa Urmo, Wuster Arthur, Bomba Lorenzo

机构信息

Genomics, BioMarin Pharmaceutical, Novato, CA 94949, USA.

Estonian Genome Centre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia.

出版信息

Metabolites. 2025 May 13;15(5):323. doi: 10.3390/metabo15050323.

Abstract

Metabolomics, in combination with genetic data, is a powerful approach to study the biochemical consequences of genetic variation. We assessed the impact of human gene knockouts (KOs) on the metabolite levels of Estonia Biobank (EstBB) participants and integrated the results with electronic health record data. In 150,000 EstBB genotyped participants, we identified 723 KOs with 152 different predicted loss of function (pLoF) variants in 115 genes. For those KOs and 258 controls, 1387 metabolites were profiled using ultra-high-performance liquid chromatography-tandem mass spectrometry. We identified 48 associations linking rare pLoF variants in 22 genes to 43 metabolites. Out of 48 associations, 27 (56%) were found in genes that cause inborn errors of metabolism. The top associations identified in our analysis included genes and metabolites involved in the degradation pathway of the pyrimidine bases uracil and thymine ( and ). We found gene KOs to be associated with elevated levels of Uracil, confirming that DPD-deficiency is a leading cause of severe 5-Fluorouracil toxicity. Overall, 54% of reported associations are gene targets of approved drugs or bioactive drug-like compounds. Our findings contribute to assessing the impact of human KOs on metabolite levels and offer insights into gene functions, disease mechanism, and drug target validation.

摘要

代谢组学与基因数据相结合,是研究基因变异生化后果的有力方法。我们评估了人类基因敲除(KO)对爱沙尼亚生物银行(EstBB)参与者代谢物水平的影响,并将结果与电子健康记录数据整合。在150,000名进行基因分型的EstBB参与者中,我们在115个基因中鉴定出723个KO,其中有152个不同的预测功能丧失(pLoF)变体。对于这些KO和258个对照,使用超高效液相色谱-串联质谱法对1387种代谢物进行了分析。我们鉴定出22个基因中的罕见pLoF变体与43种代谢物之间存在48种关联。在48种关联中,有27种(56%)存在于导致先天性代谢缺陷的基因中。我们分析中确定的顶级关联包括参与嘧啶碱基尿嘧啶和胸腺嘧啶降解途径的基因和代谢物(以及)。我们发现基因KO与尿嘧啶水平升高有关,证实二氢嘧啶脱氢酶缺乏是严重5-氟尿嘧啶毒性的主要原因。总体而言,报告的关联中有54%是已批准药物或生物活性类药物化合物的基因靶点。我们的研究结果有助于评估人类KO对代谢物水平的影响,并为基因功能、疾病机制和药物靶点验证提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f720/12114030/5d94bcc71c37/metabolites-15-00323-g001.jpg

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