Evidence map›Paper›PMID 38863926›Full record

ArticleFrontiers in endocrinology2024

The association between telomere length and blood lipids: a bidirectional two-sample Mendelian randomization study.

Shengjie Yang, Xinyue Wang, Yujuan Li, Lijun Zhou, Gang Guo, Min Wu

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Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shengjie YangGuang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xinyue WangGuang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yujuan LiGuang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Lijun ZhouGuang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Gang GuoQilu Hospital of Shandong University, Jinan, China.
Min WuGuang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies suggest an association between telomere length (TL) and blood lipid (BL) levels. Nevertheless, the causal connections between these two traits remain unclear. We aimed to elucidate whether genetically predicted TL is associated with BL levels via Mendelian randomization (MR) and vice versa. Methods: We obtained genetic instruments associated with TL, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A-1 (ApoA-1) and apolipoprotein B (ApoB) from large-scale genome-wide association studies (GWASs). The causal relationships between TL and BL were investigated via bidirectional MR, multivariable MR and mediation analysis methods. The inverse variance weighted (IVW) method was employed as the principal methodology, complemented by several other estimators to enhance the robustness of the analysis. Results: In the forward MR analyses, we identified significant positive correlation between genetically predicted TL and the levels of TG (β=0.04, 95% confidence interval [CI]: 0.01 to 0.06, p = 0.003). In the reverse MR analysis, TG (β=0.02, 95% CI: 0.01 to 0.03, p = 0.004), LDL-C (β=0.03, 95% CI: 0.01 to 0.04, p = 0.001) and ApoB (β=0.03, 95% CI: 0.01 to 0.04, p = 9.71×10 Conclusions: Our study indicated that longer TL were associated with higher TG levels, while conversely, higher TG, LDL-C, and ApoB levels predicted longer TL, with BMI partially mediating these effects. Our findings present valuable insights into the development of preventive strategies and interventions that specifically target TL-related aging and age-related diseases.

Indexed as

Genome-Wide Association StudyLipidsMendelian Randomization AnalysisApolipoprotein A-ICholesterol, HDLCholesterol, LDLHumansPolymorphism, Single NucleotideTelomereTelomere HomeostasisTriglyceridesApolipoprotein A-ICholesterol, HDLCholesterol, LDLLipidsTriglyceridesagingbidirectional two-sample Mendelian randomizationblood lipidsdyslipidemiatelomere length

Identifiers

PMID38863926
PMCPMC11165217

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.