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Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis

BACKGROUND: A previous study demonstrated that low-density lipoprotein cholesterol (LDL-C) is associated with hepatocellular carcinoma (HCC); however, the causality between them has not been proven due to conflicting research results and the interference of confounders. This study utilized Mendelian...

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Autores principales: Cao, Jiali, Wang, Ziwen, Zhu, Mengpei, Huang, Yumei, Jin, Ze, Xiong, Zhifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388495/
https://www.ncbi.nlm.nih.gov/pubmed/37525197
http://dx.doi.org/10.1186/s12944-023-01877-1
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author Cao, Jiali
Wang, Ziwen
Zhu, Mengpei
Huang, Yumei
Jin, Ze
Xiong, Zhifan
author_facet Cao, Jiali
Wang, Ziwen
Zhu, Mengpei
Huang, Yumei
Jin, Ze
Xiong, Zhifan
author_sort Cao, Jiali
collection PubMed
description BACKGROUND: A previous study demonstrated that low-density lipoprotein cholesterol (LDL-C) is associated with hepatocellular carcinoma (HCC); however, the causality between them has not been proven due to conflicting research results and the interference of confounders. This study utilized Mendelian randomization (MR) to investigate the causal relationship between LDL-C and HCC and identify the mediating factors. METHODS: LDL-C, HCC, and coronary artery disease (CAD) genome-wide association study (GWAS) data were obtained from a public database. To investigate causality, inverse variance weighting (IVW) was the main analysis approach. MR‒Egger, simple mode, weighted median (WM), and weighted mode were employed as supplementary analytic methods. In addition, horizontal pleiotropy and heterogeneity were tested. To evaluate the stability of the MR results, a "leave-one-out" approach was used. Multivariate MR (MVMR) was utilized to correct the confounders that might affect causality, and mediation analysis was used to investigate the potential mediating effects. Finally, we used HCC risk to infer the reverse causality with LDL-C level. RESULTS: Random effects IVW results were (LDL-C-HCC: odds ratio (OR) = 0.703, 95% confidence interval (CI) = [0.508, 0.973], P = 0.034; CAD–HCC: OR = 0.722, 95% CI = [0.645, 0.808], P = 1.50 × 10(–8); LDL-C–CAD: OR = 2.103, 95% CI = [1.862, 2.376], P = 5.65 × 10(–33)), demonstrating a causal link between LDL-C levels and a lower risk of HCC. Through MVMR, after mutual correction, the causal effect of LDL-C and CAD on HCC remained significant (P < 0.05). Through mediation analysis, it was proven that CAD mediated the causative connection between LDL-C and HCC, and the proportion of mediating effect on HCC was 58.52%. Reverse MR showed that HCC could affect LDL-C levels with a negative correlation (OR(IVW) = 0.979, 95% CI = [0.961, 0.997], P = 0.025). CONCLUSION: This MR study confirmed the causal effect between LDL-C levels and HCC risk, with CAD playing a mediating role. It may provide a new view on HCC occurrence and development mechanisms, as well as new metabolic intervention targets for treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01877-1.
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spelling pubmed-103884952023-08-01 Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis Cao, Jiali Wang, Ziwen Zhu, Mengpei Huang, Yumei Jin, Ze Xiong, Zhifan Lipids Health Dis Research BACKGROUND: A previous study demonstrated that low-density lipoprotein cholesterol (LDL-C) is associated with hepatocellular carcinoma (HCC); however, the causality between them has not been proven due to conflicting research results and the interference of confounders. This study utilized Mendelian randomization (MR) to investigate the causal relationship between LDL-C and HCC and identify the mediating factors. METHODS: LDL-C, HCC, and coronary artery disease (CAD) genome-wide association study (GWAS) data were obtained from a public database. To investigate causality, inverse variance weighting (IVW) was the main analysis approach. MR‒Egger, simple mode, weighted median (WM), and weighted mode were employed as supplementary analytic methods. In addition, horizontal pleiotropy and heterogeneity were tested. To evaluate the stability of the MR results, a "leave-one-out" approach was used. Multivariate MR (MVMR) was utilized to correct the confounders that might affect causality, and mediation analysis was used to investigate the potential mediating effects. Finally, we used HCC risk to infer the reverse causality with LDL-C level. RESULTS: Random effects IVW results were (LDL-C-HCC: odds ratio (OR) = 0.703, 95% confidence interval (CI) = [0.508, 0.973], P = 0.034; CAD–HCC: OR = 0.722, 95% CI = [0.645, 0.808], P = 1.50 × 10(–8); LDL-C–CAD: OR = 2.103, 95% CI = [1.862, 2.376], P = 5.65 × 10(–33)), demonstrating a causal link between LDL-C levels and a lower risk of HCC. Through MVMR, after mutual correction, the causal effect of LDL-C and CAD on HCC remained significant (P < 0.05). Through mediation analysis, it was proven that CAD mediated the causative connection between LDL-C and HCC, and the proportion of mediating effect on HCC was 58.52%. Reverse MR showed that HCC could affect LDL-C levels with a negative correlation (OR(IVW) = 0.979, 95% CI = [0.961, 0.997], P = 0.025). CONCLUSION: This MR study confirmed the causal effect between LDL-C levels and HCC risk, with CAD playing a mediating role. It may provide a new view on HCC occurrence and development mechanisms, as well as new metabolic intervention targets for treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01877-1. BioMed Central 2023-07-31 /pmc/articles/PMC10388495/ /pubmed/37525197 http://dx.doi.org/10.1186/s12944-023-01877-1 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
Cao, Jiali
Wang, Ziwen
Zhu, Mengpei
Huang, Yumei
Jin, Ze
Xiong, Zhifan
Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis
title Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis
title_full Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis
title_fullStr Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis
title_full_unstemmed Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis
title_short Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis
title_sort low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a mendelian randomization and mediation analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388495/
https://www.ncbi.nlm.nih.gov/pubmed/37525197
http://dx.doi.org/10.1186/s12944-023-01877-1
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