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Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses

BACKGROUND: This study aims to comprehensively investigate the phenotypic and genetic relationships between four common lipids (high-density lipoprotein cholesterol, HDL-C; low-density lipoprotein cholesterol, LDL-C; total cholesterol, TC; and triglycerides, TG), chronic kidney disease (CKD), and es...

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Autores principales: Wang, Yutong, Zhang, Li, Zhang, Wenqiang, Tang, Mingshuang, Cui, Huijie, Wu, Xueyao, Zhao, Xunying, Chen, Lin, Yan, Peijing, Yang, Chao, Xiao, Chenghan, Zou, Yanqiu, Liu, Yunjie, Zhang, Ling, Yang, Chunxia, Yao, Yuqin, Li, Jiayuan, Liu, Zhenmi, Jiang, Xia, Zhang, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537816/
https://www.ncbi.nlm.nih.gov/pubmed/37759214
http://dx.doi.org/10.1186/s12967-023-04509-5
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author Wang, Yutong
Zhang, Li
Zhang, Wenqiang
Tang, Mingshuang
Cui, Huijie
Wu, Xueyao
Zhao, Xunying
Chen, Lin
Yan, Peijing
Yang, Chao
Xiao, Chenghan
Zou, Yanqiu
Liu, Yunjie
Zhang, Ling
Yang, Chunxia
Yao, Yuqin
Li, Jiayuan
Liu, Zhenmi
Jiang, Xia
Zhang, Ben
author_facet Wang, Yutong
Zhang, Li
Zhang, Wenqiang
Tang, Mingshuang
Cui, Huijie
Wu, Xueyao
Zhao, Xunying
Chen, Lin
Yan, Peijing
Yang, Chao
Xiao, Chenghan
Zou, Yanqiu
Liu, Yunjie
Zhang, Ling
Yang, Chunxia
Yao, Yuqin
Li, Jiayuan
Liu, Zhenmi
Jiang, Xia
Zhang, Ben
author_sort Wang, Yutong
collection PubMed
description BACKGROUND: This study aims to comprehensively investigate the phenotypic and genetic relationships between four common lipids (high-density lipoprotein cholesterol, HDL-C; low-density lipoprotein cholesterol, LDL-C; total cholesterol, TC; and triglycerides, TG), chronic kidney disease (CKD), and estimated glomerular filtration rate (eGFR). METHODS: We first investigated the observational association of lipids (exposures) with CKD (primary outcome) and eGFR (secondary outcome) using data from UK Biobank. We then explored the genetic relationship using summary statistics from the largest genome-wide association study of four lipids (N = 1,320,016), CKD (N(case) = 41,395, N(control) = 439,303), and eGFR(N = 567,460). RESULTS: There were significant phenotypic associations (HDL-C: hazard ratio (HR) = 0.76, 95%CI = 0.60–0.95; TG: HR = 1.08, 95%CI = 1.02–1.13) and global genetic correlations (HDL-C: [Formula: see text] = − 0.132, P = 1.00 × 10(–4); TG: [Formula: see text] = 0.176; P = 2.66 × 10(–5)) between HDL-C, TG, and CKD risk. Partitioning the whole genome into 2353 LD-independent regions, twelve significant regions were observed for four lipids and CKD. The shared genetic basis was largely explained by 29 pleiotropic loci and 36 shared gene-tissue pairs. Mendelian randomization revealed an independent causal relationship of genetically predicted HDL-C (odds ratio = 0.91, 95%CI = 0.85–0.98), but not for LDL-C, TC, or TG, with the risk of CKD. Regarding eGFR, a similar pattern of correlation and pleiotropy was observed. CONCLUSIONS: Our work demonstrates a putative causal role of HDL-C in CKD and a significant biological pleiotropy underlying lipids and CKD in populations of European ancestry. Management of low HDL-C levels could potentially benefit in reducing the long-term risk of CKD. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04509-5.
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spelling pubmed-105378162023-09-29 Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses Wang, Yutong Zhang, Li Zhang, Wenqiang Tang, Mingshuang Cui, Huijie Wu, Xueyao Zhao, Xunying Chen, Lin Yan, Peijing Yang, Chao Xiao, Chenghan Zou, Yanqiu Liu, Yunjie Zhang, Ling Yang, Chunxia Yao, Yuqin Li, Jiayuan Liu, Zhenmi Jiang, Xia Zhang, Ben J Transl Med Research BACKGROUND: This study aims to comprehensively investigate the phenotypic and genetic relationships between four common lipids (high-density lipoprotein cholesterol, HDL-C; low-density lipoprotein cholesterol, LDL-C; total cholesterol, TC; and triglycerides, TG), chronic kidney disease (CKD), and estimated glomerular filtration rate (eGFR). METHODS: We first investigated the observational association of lipids (exposures) with CKD (primary outcome) and eGFR (secondary outcome) using data from UK Biobank. We then explored the genetic relationship using summary statistics from the largest genome-wide association study of four lipids (N = 1,320,016), CKD (N(case) = 41,395, N(control) = 439,303), and eGFR(N = 567,460). RESULTS: There were significant phenotypic associations (HDL-C: hazard ratio (HR) = 0.76, 95%CI = 0.60–0.95; TG: HR = 1.08, 95%CI = 1.02–1.13) and global genetic correlations (HDL-C: [Formula: see text] = − 0.132, P = 1.00 × 10(–4); TG: [Formula: see text] = 0.176; P = 2.66 × 10(–5)) between HDL-C, TG, and CKD risk. Partitioning the whole genome into 2353 LD-independent regions, twelve significant regions were observed for four lipids and CKD. The shared genetic basis was largely explained by 29 pleiotropic loci and 36 shared gene-tissue pairs. Mendelian randomization revealed an independent causal relationship of genetically predicted HDL-C (odds ratio = 0.91, 95%CI = 0.85–0.98), but not for LDL-C, TC, or TG, with the risk of CKD. Regarding eGFR, a similar pattern of correlation and pleiotropy was observed. CONCLUSIONS: Our work demonstrates a putative causal role of HDL-C in CKD and a significant biological pleiotropy underlying lipids and CKD in populations of European ancestry. Management of low HDL-C levels could potentially benefit in reducing the long-term risk of CKD. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04509-5. BioMed Central 2023-09-27 /pmc/articles/PMC10537816/ /pubmed/37759214 http://dx.doi.org/10.1186/s12967-023-04509-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Wang, Yutong
Zhang, Li
Zhang, Wenqiang
Tang, Mingshuang
Cui, Huijie
Wu, Xueyao
Zhao, Xunying
Chen, Lin
Yan, Peijing
Yang, Chao
Xiao, Chenghan
Zou, Yanqiu
Liu, Yunjie
Zhang, Ling
Yang, Chunxia
Yao, Yuqin
Li, Jiayuan
Liu, Zhenmi
Jiang, Xia
Zhang, Ben
Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses
title Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses
title_full Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses
title_fullStr Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses
title_full_unstemmed Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses
title_short Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses
title_sort understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537816/
https://www.ncbi.nlm.nih.gov/pubmed/37759214
http://dx.doi.org/10.1186/s12967-023-04509-5
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