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Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study

BACKGROUND: Previous observational studies suggested that a reduction in estimated glomerular filtration rate (eGFR) or a supranormal eGFR value was associated with adverse cardiovascular risks. However, a previous Mendelian randomization (MR) study under the linearity assumption reported null causa...

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Autores principales: Park, Sehoon, Lee, Soojin, Kim, Yaerim, Cho, Semin, Huh, Hyeok, Kim, Kwangsoo, Kim, Yong Chul, Han, Seung Seok, Lee, Hajeong, Lee, Jung Pyo, Joo, Kwon Wook, Lim, Chun Soo, Kim, Yon Su, Kim, Dong Ki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811984/
https://www.ncbi.nlm.nih.gov/pubmed/35109828
http://dx.doi.org/10.1186/s12916-022-02251-1
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author Park, Sehoon
Lee, Soojin
Kim, Yaerim
Cho, Semin
Huh, Hyeok
Kim, Kwangsoo
Kim, Yong Chul
Han, Seung Seok
Lee, Hajeong
Lee, Jung Pyo
Joo, Kwon Wook
Lim, Chun Soo
Kim, Yon Su
Kim, Dong Ki
author_facet Park, Sehoon
Lee, Soojin
Kim, Yaerim
Cho, Semin
Huh, Hyeok
Kim, Kwangsoo
Kim, Yong Chul
Han, Seung Seok
Lee, Hajeong
Lee, Jung Pyo
Joo, Kwon Wook
Lim, Chun Soo
Kim, Yon Su
Kim, Dong Ki
author_sort Park, Sehoon
collection PubMed
description BACKGROUND: Previous observational studies suggested that a reduction in estimated glomerular filtration rate (eGFR) or a supranormal eGFR value was associated with adverse cardiovascular risks. However, a previous Mendelian randomization (MR) study under the linearity assumption reported null causal effects from eGFR on myocardial infarction (MI) risks. Further investigation of the nonlinear causal effect of kidney function assessed by eGFR on the risk of MI by nonlinear MR analysis is warranted. METHODS: In this MR study, genetic instruments for log-eGFR based on serum creatinine were developed from European samples included in the CKDGen genome-wide association study (GWAS) meta-analysis (N=567,460). Alternate instruments for log-eGFR based on cystatin C were developed from a GWAS of European individuals that included the CKDGen and UK Biobank data (N=460,826). Nonlinear MR analysis for the risk of MI was performed using the fractional polynomial method and the piecewise linear method on data from individuals of white British ancestry in the UK Biobank (N=321,024, with 12,205 MI cases). RESULTS: Nonlinear MR analysis demonstrated a U-shaped (quadratic P value < 0.001) association between MI risk and genetically predicted eGFR (creatinine) values, as MI risk increased as eGFR declined in the low eGFR range and the risk increased as eGFR increased in the high eGFR range. The results were similar even after adjustment for clinical covariates, such as blood pressure, diabetes mellitus, dyslipidemia, or urine microalbumin levels, or when genetically predicted eGFR (cystatin C) was included as the exposure. CONCLUSION: Genetically predicted eGFR is significantly associated with the risk of MI with a parabolic shape, suggesting that kidney function impairment, either by reduced or supranormal eGFR, may be causally linked to a higher MI risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02251-1.
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spelling pubmed-88119842022-02-03 Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study Park, Sehoon Lee, Soojin Kim, Yaerim Cho, Semin Huh, Hyeok Kim, Kwangsoo Kim, Yong Chul Han, Seung Seok Lee, Hajeong Lee, Jung Pyo Joo, Kwon Wook Lim, Chun Soo Kim, Yon Su Kim, Dong Ki BMC Med Research Article BACKGROUND: Previous observational studies suggested that a reduction in estimated glomerular filtration rate (eGFR) or a supranormal eGFR value was associated with adverse cardiovascular risks. However, a previous Mendelian randomization (MR) study under the linearity assumption reported null causal effects from eGFR on myocardial infarction (MI) risks. Further investigation of the nonlinear causal effect of kidney function assessed by eGFR on the risk of MI by nonlinear MR analysis is warranted. METHODS: In this MR study, genetic instruments for log-eGFR based on serum creatinine were developed from European samples included in the CKDGen genome-wide association study (GWAS) meta-analysis (N=567,460). Alternate instruments for log-eGFR based on cystatin C were developed from a GWAS of European individuals that included the CKDGen and UK Biobank data (N=460,826). Nonlinear MR analysis for the risk of MI was performed using the fractional polynomial method and the piecewise linear method on data from individuals of white British ancestry in the UK Biobank (N=321,024, with 12,205 MI cases). RESULTS: Nonlinear MR analysis demonstrated a U-shaped (quadratic P value < 0.001) association between MI risk and genetically predicted eGFR (creatinine) values, as MI risk increased as eGFR declined in the low eGFR range and the risk increased as eGFR increased in the high eGFR range. The results were similar even after adjustment for clinical covariates, such as blood pressure, diabetes mellitus, dyslipidemia, or urine microalbumin levels, or when genetically predicted eGFR (cystatin C) was included as the exposure. CONCLUSION: Genetically predicted eGFR is significantly associated with the risk of MI with a parabolic shape, suggesting that kidney function impairment, either by reduced or supranormal eGFR, may be causally linked to a higher MI risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02251-1. BioMed Central 2022-02-03 /pmc/articles/PMC8811984/ /pubmed/35109828 http://dx.doi.org/10.1186/s12916-022-02251-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Park, Sehoon
Lee, Soojin
Kim, Yaerim
Cho, Semin
Huh, Hyeok
Kim, Kwangsoo
Kim, Yong Chul
Han, Seung Seok
Lee, Hajeong
Lee, Jung Pyo
Joo, Kwon Wook
Lim, Chun Soo
Kim, Yon Su
Kim, Dong Ki
Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study
title Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study
title_full Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study
title_fullStr Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study
title_full_unstemmed Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study
title_short Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study
title_sort nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: mendelian randomization study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811984/
https://www.ncbi.nlm.nih.gov/pubmed/35109828
http://dx.doi.org/10.1186/s12916-022-02251-1
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