Evidence map›Paper›PMID 36422279›Full record

ArticleMetabolites2022

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

Sangjun Lee, Miyeun Han, Sungji Moon, Kyungsik Kim, Woo Ju An, Hyunjin Ryu, Kook-Hwan Oh, Sue K Park

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Sangjun LeeDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0003-4080-0494
Miyeun HanDepartment of Internal Medicine, National Medical Center, Seoul 04564, Republic of Korea.
Sungji MoonDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Kyungsik KimDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0001-9007-7025
Woo Ju AnDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Hyunjin RyuDepartment of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.ORCID 0000-0001-9525-2179
Sue K ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0001-5002-9707
Seoul National University · KRSeoul National University Hospital · KRNational Medical Center · KR

Funding

the Bio & Medical Technology Development Program of the NRF funded by the Korean gov-ernment (MSIT) 2020M3C9A5086234the Bio & Medical Technology Development Program of the NRF funded by the Korean gov-ernment (MSIT) No. 2017M3A9E4044649the National Research Foundation (NRF) of Korea funded by the Korean government (MSIP) NRF-2016R1A2B4014552
6 · The paper itself

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.

Indexed as

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

Identifiers

PMID36422279
PMCPMC9695695
OpenAlexW4309787596

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.