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Metabolites. 2022;12(11):metabo12111139.

Identifying Genetic Variants and Metabolites Associated with Rapid Estimated Glomerular Filtration Rate Decline in Korea Based on Genome-Metabolomic Integrative Analysis.

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제1저자 이상준 · 교신저자 오국환, 박수경

소속 (7)
  1. Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  2. Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  3. Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Republic of Korea.
  4. Department of Internal Medicine, National Medical Center, Seoul 04564, Republic of Korea.
  5. Interdisciplinary Program in Cancer Biology, College of Medicine, Seoul National University, Seoul 03080, Republic of Korea.
  6. Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  7. Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.

Abstract

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.

Keywords

estimated glomerular filtration rategenome-wide association studykidney functionsingle-nucleotide polymorphism

Figures

Figure 1
Figure 1 Genomic characteristics for the rs10009742 in 4q32.3. (A) Regional plot for the regions around rs10009742 in 4q32.3. The red point indicates the most strongly associated lead SNP, rs10009742 (purple diamond). (B) Fine-mapping results for rs10009742, illustrated by the PIP plot of fine-mapping around rs10009742 with +/−10 kb intervals. The SNPs around the blue circles in the plot are credible sets with a potential causality (the highest PIP was estimated for rs13127646). PIP, posterior inclusion probability; SNP, single-nucleotide polymorphism.
Figure 2
Figure 2 Associations between rs10009742 in the MARCHF1 gene and serum metabolite concentrations using a linear regression model from GMIA. (A) Pimelylcarnitine and (B) octadecenoylcarnitine (C: reference allele; T: the effect allele of rs10009742). GMIA, genome–metabolomics integrative analysis; MARCHF1, membrane-associated ring-CH-type finger 1.
Figure 3
Figure 3 Biological mechanisms for the association between MARCHF1 and pimelylcarnitine are based on GMIA. An unusual metabolite, pimelylcarintine, may be an intermediator for CKD progression through oxidative stress on the endoplasmic reticulum. (A) Normal processes and (B) processes during CKD development influenced by the genetic variant of MARCHF1, hypertension, and diabetes, and in CKD progression. AC, acylcarnitine; CKD, chronic kidney disease; ER, endoplasmic reticulum; FA, fatty acid; GMIA, genome–metabolomics integrative analysis; INSR, insulin receptor; LC, long-chain; MARCHF1, Membrane-associated ring-CH-type finger 1; MC, medium-chain; Ub, ubiquitin. Figures created with BioRender.com.

그림 출처: PubMed Central 공개 논문 (PMC9695695)

Conflict of interest statement

The authors declare no conflict of interest.

그 밖의 정보
출판 형태
Journal Article
저널
Metabolites · ISSN 2218-1989
전자 출판
2022-11-19
연구비
the National Research Foundation (NRF) of Korea funded by the Korean government (MSIP) NRF-2016R1A2B4014552 · the Bio & Medical Technology Development Program of the NRF funded by the Korean gov-ernment (MSIT) 2020M3C9A5086234 · the Bio & Medical Technology Development Program of the NRF funded by the Korean gov-ernment (MSIT) No. 2017M3A9E4044649
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