Causal association of blood lipids with all-cause and cause-specific mortality risk: a Mendelian randomization study

• Published in: Journal of lipid research 2024-04, Vol.65 (4), p.100528, Article 100528
• Main Authors: Lu, Jiawen, Wang, Zhenqian, Zhang, Jiaying, Jiao, Feng, Zou, Chenfeng, Han, Liyuan, Jiang, Guozhi
• Format: Article
• Language: English
• Subjects: Aged; all-cause mortality; Apolipoprotein A-I - blood; Apolipoprotein A-I - genetics; apolipoproteins; Cause of Death; cause-specific mortality; Female; Humans; lipid profiles; Lipids - blood; Lipoprotein(a) - blood; Lipoprotein(a) - genetics; Male; Mendelian randomization; Mendelian Randomization Analysis; Middle Aged; Risk Factors; UK Biobank
• ISSN: 0022-2275; 1539-7262; 1539-7262
• DOI: 10.1016/j.jlr.2024.100528

Dyslipidemia has long been implicated in elevating mortality risk; yet, the precise associations between lipid traits and mortality remained undisclosed. Our study aimed to explore the causal effects of lipid traits on both all-cause and cause-specific mortality. One-sample Mendelian randomization (MR) with linear and nonlinear assumptions was conducted in a cohort of 407,951 European participants from the UK Biobank. Six lipid traits, consisting of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), and lipoprotein(a), were included to investigate the causal associations with mortality. Two-sample MR was performed to replicate the association between each lipid trait and all-cause mortality. Univariable MR results showed that genetically predicted higher ApoA1 was significantly associated with a decreased all-cause mortality risk (HR[95% CI]:0.93 [0.89–0.97], P value = 0.001), which was validated by the two-sample MR analysis. Higher lipoprotein(a) was associated with an increased risk of all-cause mortality (1.03 [1.01–1.04], P value = 0.002). Multivariable MR confirmed the direct causal effects of ApoA1 and lipoprotein(a) on all-cause mortality. Meanwhile, nonlinear MR found no evidence for nonlinearity between lipids and all-cause mortality. Our examination into cause-specific mortality revealed a suggestive inverse association between ApoA1 and cancer mortality, a significant positive association between lipoprotein(a) and cardiovascular disease mortality, and a suggestive positive association between lipoprotein(a) and digestive disease mortality. High LDL-C was associated with an increased risk of cardiovascular disease mortality but a decreased risk of neurodegenerative disease mortality. The findings suggest that implementing interventions to raise ApoA1 and decrease lipoprotein(a) levels may improve overall health outcomes and mitigate cancer and digestive disease mortality.