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Identifying Genetic Variants and Metabolites Associated with Rapid Estimated Glomerular Filtration Rate Decline in Korea Based on Genome-Metabolomic Integrative Analysis.
Lee, Sangjun; Han, Miyeun; Moon, Sungji; Kim, Kyungsik; An, Woo Ju; Ryu, Hyunjin; Oh, Kook-Hwan; Park, Sue K.
Affiliation
  • Lee S; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Han M; Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Moon S; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Republic of Korea.
  • Kim K; Department of Internal Medicine, National Medical Center, Seoul 04564, Republic of Korea.
  • An WJ; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Ryu H; Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Oh KH; Interdisciplinary Program in Cancer Biology, College of Medicine, Seoul National University, Seoul 03080, Republic of Korea.
  • Park SK; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Metabolites ; 12(11)2022 Nov 19.
Article de En | MEDLINE | ID: mdl-36422279
Identifying the predisposing factors to chronic or end-stage kidney disease is essential to preventing or slowing kidney function decline. Therefore, here, we investigated the genetic variants related to a rapid decline in the estimated glomerular filtration rate (eGFR) (i.e., a loss of >5 mL/min/1.73 m2 per year) and verified the relationships between variant-related diseases and metabolic pathway signaling in patients with chronic kidney disease. We conducted a genome-wide association study that included participants with diabetes, hypertension, and rapid eGFR decline from two Korean data sources (N = 115 and 69 for the discovery and the validation cohorts, respectively). We identified a novel susceptibility locus: 4q32.3 (rs10009742 in the MARCHF1 gene, beta = −3.540, P = 4.11 × 10−8). Fine-mapping revealed 19 credible, causal single-nucleotide polymorphisms, including rs10009742. The pimelylcarnitine and octadecenoyl carnitine serum concentrations were associated with rs10009742 (beta = 0.030, P = 7.10 × 10−5, false discovery rate (FDR) = 0.01; beta = 0.167, P = 8.11 × 10−4, FDR = 0.08). Our results suggest that MARCHF1 is associated with a rapid eGFR decline in patients with hypertension and diabetes. Furthermore, MARCHF1 affects the pimelylcarnitine metabolite concentration, which may mediate chronic kidney disease progression by inducing oxidative stress in the endoplasmic reticulum.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Metabolites Année: 2022 Type de document: Article Pays de publication: Suisse

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Metabolites Année: 2022 Type de document: Article Pays de publication: Suisse