Metabolome-wide association study of estimated glomerular filtration rates in Hispanics

被引:6
|
作者
Lin, Bridget M. [1 ]
Zhang, Ying [2 ]
Yu, Bing [3 ]
Boerwinkle, Eric [3 ]
Thygarajan, Bharat [4 ]
Yunes, Milagros [5 ]
Daviglus, Martha L. [6 ]
Qi, Qibin [7 ]
Kaplan, Robert [7 ,8 ]
Lash, James [9 ]
Cai, Jianwen [1 ]
Sofer, Tamar [2 ,10 ,11 ]
Franceschini, Nora [12 ]
机构
[1] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27516 USA
[2] Brigham & Womens Hosp, Div Sleep & Circadian Disorders, 75 Francis St, Boston, MA 02115 USA
[3] Univ Texas Hlth Sci Ctr Houston, Human Genet Ctr, Dept Epidemiol Human Genet & Environm Sci, Houston, TX 77030 USA
[4] Univ Minnesota, Div Mol Pathol & Genom, Minneapolis, MN USA
[5] Albert Einstein Coll Med, Dept Med, Div Nephrol, Montefiore Med Ctr, Bronx, NY 10467 USA
[6] Univ Illinois, Coll Med, Inst Minor Hlth Res, Chicago, IL USA
[7] Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY 10467 USA
[8] Fred Hutchinson Canc Res Ctr, Publ Hlth Sci Div, 1124 Columbia St, Seattle, WA 98104 USA
[9] Univ Illinois, Dept Med, Div Nephrol, Chicago, IL USA
[10] Harvard Univ, Dept Med, Boston, MA 02115 USA
[11] Harvard Univ, Dept Biostat, Boston, MA 02115 USA
[12] Univ N Carolina, Dept Epidemiol, Chapel Hill, NC 27516 USA
关键词
eGFR; genetics; metabolomics; risk factors; RENAL METABOLISM; AMINO-ACIDS; IN-VIVO; AMMONIA; SERINE; CKD;
D O I
10.1016/j.kint.2021.09.032
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Circulating metabolites are by-products of endogenous metabolism or exogenous sources and may inform disease states. Our study aimed to identify the source of variability in the association of metabolites with estimated glomerular filtration rate (eGFR) in Hispanics/Latinos with low chronic kidney disease prevalence by testing the association of 640 metabolites in 3,906 participants of the Hispanic Community Health Study/Study of Latinos. Metabolites were quantified in fasting serum through non-targeted mass spectrometry analysis. eGFR was regressed on inverse normally transformed metabolites in models accounting for study design and covariates. To identify the source of variation on eGFR associations, we tested the interaction of metabolites with lifestyle and clinical risk factors, and results were integrated with genotypes to identify metabolite genetic regulation. The mean age was 46 years, 43% were men, 22% were current smokers, 47% had a Caribbean Hispanic background, 19% had diabetes and the mean cohort eGFR was 96.4 ml/min/1.73 m(2). We identified 404 eGFR-metabolite associations (False Discovery Rate under 0.05). Of these, 69 were previously reported, and 79 were novel associations with eGFR replicated in one or more published studies. There were significant interactions with lifestyle and clinical risk factors, with larger differences in eGFR-metabolite associations within strata of age, urine albumin to creatinine ratio, diabetes and Hispanic/Latino background. Several newly identified metabolites were genetically regulated, and variants were located at genomic regions previously associated with eGFR. Thus, our results suggest complex mechanisms contribute to the association of eGFR with metabolites and provide new insights into these associations.
引用
收藏
页码:144 / 151
页数:8
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