Lipid Profiles, Telomere Length, and the Risk of Malignant Tumors: A Mendelian Randomization and Mediation Analysis

<b>Background/Objectives:</b> The relationship between lipid profiles, telomere length (TL), and cancer risk remains unclear. <b>Methods:</b> This study employed two-sample Mendelian randomization (MR) with mediation analysis to investigate their causal relationships, examining lipid profiles as exposure, TL as mediator, and nine cancer types as outcomes. We conducted our analysis using two-stage least squares (2SLS) regression integrated with inverse variance weighted (IVW) methods to address potential endogeneity and strengthen our causal inference. <b>Results:</b> we found that unfavorable lipid profiles were causally linked to increased TL (<i>p</i> < 0.05). TL showed positive causal associations with lung and hematologic cancers (OR > 1, <i>p</i> < 0.05). Direct associations were observed between total and low-density lipoprotein (LDL) cholesterol and gastric cancer (OR < 1, <i>p</i> < 0.05), and between remnant cholesterol and colorectal cancer (OR > 1, <i>p</i> < 0.05). Mediation analysis revealed TL as a significant mediator in the pathway from lipid profiles to cancer development (<i>p</i> < 0.05). No horizontal pleiotropy was detected. <b>Conclusions:</b> Our findings suggest that lipid metabolism disorders may influence cancer development through telomere regulation, particularly in lung and hematologic cancers. This emphasizes the importance of lipid management in cancer prevention and treatment, especially for these cancer types.

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Publication Details

Journal
Biomedicines
Published
2024-12-25
DOI
https://doi.org/10.3390/biomedicines13010013
Citations
1
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.29

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article

Lipid Profiles, Telomere Length, and the Risk of Malignant Tumors: A Mendelian Randomization and Mediation Analysis

Shupeng Liu, Zhijun Feng, Meijuan Zhou, Zheng-Zheng Fu et al.
1 citations
Biomedicines
Cancer, Lipids, and Metabolism
0.29
article

Lipid Profiles, Telomere Length, and the Risk of Malignant Tumors: A Mendelian Randomization and Mediation Analysis

Shupeng Liu, Zhijun Feng, Meijuan Zhou, Zheng-Zheng Fu, Zhenhua Ding, Yinghui Wang, Hui Liu
article en
1 citations

Abstract

<b>Background/Objectives:</b> The relationship between lipid profiles, telomere length (TL), and cancer risk remains unclear. <b>Methods:</b> This study employed two-sample Mendelian randomization (MR) with mediation analysis to investigate their causal relationships, examining lipid profiles as exposure, TL as mediator, and nine cancer types as outcomes. We conducted our analysis using two-stage least squares (2SLS) regression integrated with inverse variance weighted (IVW) methods to address potential endogeneity and strengthen our causal inference. <b>Results:</b> we found that unfavorable lipid profiles were causally linked to increased TL (<i>p</i> < 0.05). TL showed positive causal associations with lung and hematologic cancers (OR > 1, <i>p</i> < 0.05). Direct associations were observed between total and low-density lipoprotein (LDL) cholesterol and gastric cancer (OR < 1, <i>p</i> < 0.05), and between remnant cholesterol and colorectal cancer (OR > 1, <i>p</i> < 0.05). Mediation analysis revealed TL as a significant mediator in the pathway from lipid profiles to cancer development (<i>p</i> < 0.05). No horizontal pleiotropy was detected. <b>Conclusions:</b> Our findings suggest that lipid metabolism disorders may influence cancer development through telomere regulation, particularly in lung and hematologic cancers. This emphasizes the importance of lipid management in cancer prevention and treatment, especially for these cancer types.

BiomedicinesVol. 13(1)
Southern Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 36%
Cancer, Lipids, and Metabolism
0.29
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