Evidence map›Paper›PMID 37448291›Full record

ArticleKidney research and clinical practice2023

Genetic variations in HMGCR and PCSK9 and kidney function: a Mendelian randomization study.

Sehoon Park, Seong Geun Kim, Soojin Lee, Yaerim Kim, Semin Cho, Kwangsoo Kim, Yong Chul Kim, Seung Seok Han, Hajeong Lee, Jung Pyo Lee and 4 more

Abstract read
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Article in Kidney research and clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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  3. Article
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  5. Article
  6. Lipid-lowering and kidney.Kidney research and clinical practice · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Sehoon ParkDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seong Geun KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Soojin LeeDepartment of Internal Medicine, Uijeongbu Eulji University Medical Center, Uijeongbu, Republic of Korea.
Yaerim KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.
Semin ChoDepartment of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Republic of Korea.
Kwangsoo KimTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea.
Yong Chul KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Seung Seok HanDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Hajeong LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kwon Wook JooDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Yon Su KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

Funding

Korean Nephrology Research FoundationNational Research Foundation of Korea 2021R1A2C2094586
6 · The paper itself

Abstract

backgroundThe genetically predicted lipid-lowering effect of HMGCR or PCSK9 variant can be used to assess drug proxy effects on kidney function.

methodsMendelian randomization (MR) analysis-identified HMGCR and PCSK9 genetic variants were used to predict the low-density lipoprotein (LDL) cholesterol-lowering effects of medications targeting related molecules. Primary summary-level outcome data for log-estimated glomerular filtration rate (eGFR; creatinine) were provided by the CKDGen Consortium (n = 1,004,040 European) from a meta-analysis of CKDGen and UK Biobank data. We also conducted a separate investigation of summary-level data from CKDGen (n = 567,460, log-eGFR [creatinine]) and UK Biobank (n = 436,581, log-eGFR [cystatin C]) samples. Summary-level MRs using an inverse variance weighted method and pleiotropy-robust methods were performed.

resultsSummary-level MR analysis indicated that the LDL-lowering effect predicted genetically by HMGCR variants (50-mg/dL decrease) was significantly associated with a decrease in eGFR (-1.67%; 95% confidence interval [CI], -2.20% to -1.13%). Similar significance was found in results from the pleiotropy-robust MR methods when the CKDGen and UK Biobank data were analyzed separately. However, the LDL-lowering effect predicted genetically by PCSK9 variants was significantly associated with an increase in eGFR (+1.17%; 95% CI, 0.10%-2.25%). The results were similarly supported by the weighted median method and in each CKDGen and UK Biobank dataset, but the significance obtained by MR-Egger regression was attenuated.

conclusionGenetically predicted HMG-CoA reductase inhibition was associated with low eGFR, while genetically predicted PCSK9 inhibition was associated with high eGFR. Clinicians should consider that the direct effect of different types of lipid-lowering medication on kidney function can vary.

Indexed as

Chronic kidney diseaseDyslipidaemiaMendelian randomizationStatin

Identifiers

PMID37448291
PMCPMC10407636

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