Evidence map›Paper›PMID 38082436›Full record

ArticleLipids in health and disease2023

Genetic insights into the association of statin and newer nonstatin drug target genes with human longevity: a Mendelian randomization analysis.

Han Chen, Xiaoying Zhou, Jingwen Hu, Shuo Li, Zi Wang, Tong Zhu, Hong Cheng, Guoxin Zhang

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Han Chen *Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China. chenhan0688@njmu.edu.cn.
Xiaoying Zhou *Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China.
Jingwen HuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Shuo LiDepartment of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China.
Zi WangDepartment of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China.
Tong ZhuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Hong ChengDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Guoxin ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China. guoxinz@njmu.edu.cn.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt remains controversial whether the long-term use of statins or newer nonstatin drugs has a positive effect on human longevity. Therefore, this study aimed to investigate the genetic associations between different lipid-lowering therapeutic gene targets and human longevity.

methodsTwo-sample Mendelian randomization analyses were conducted. The exposures comprised genetic variants that proxy nine drug target genes mimicking lipid-lowering effects (LDLR, HMGCR, PCKS9, NPC1L1, APOB, CETP, LPL, APOC3, and ANGPTL3). Two large-scale genome-wide association study (GWAS) summary datasets of human lifespan, including up to 500,193 European individuals, were used as outcomes. The inverse-variance weighting method was applied as the main approach. Sensitivity tests were conducted to evaluate the robustness, heterogeneity, and pleiotropy of the results. Causal effects were further validated using expression quantitative trait locus (eQTL) data.

resultsGenetically proxied LDLR variants, which mimic the effects of lowering low-density lipoprotein cholesterol (LDL-C), were associated with extended lifespan. This association was replicated in the validation set and was further confirmed in the eQTL summary data of blood and liver tissues. Mediation analysis revealed that the genetic mimicry of LDLR enhancement extended lifespan by reducing the risk of major coronary heart disease, accounting for 22.8% of the mediation effect. The genetically proxied CETP and APOC3 inhibitions also showed causal effects on increased life expectancy in both outcome datasets. The lipid-lowering variants of HMGCR, PCKS9, LPL, and APOB were associated with longer lifespans but did not causally increase extreme longevity. No statistical evidence was detected to support an association between NPC1L1 and lifespan.

conclusionThis study suggests that LDLR is a promising genetic target for human longevity. Lipid-related gene targets, such as PCSK9, CETP, and APOC3, might potentially regulate human lifespan, thus offering promising prospects for developing newer nonstatin therapies.

Indexed as

Hydroxymethylglutaryl-CoA Reductase InhibitorsAngiopoietin-Like Protein 3Apolipoproteins BCholesterol, LDLGenome-Wide Association StudyHumansLongevityMendelian Randomization AnalysisProprotein Convertase 9Angiopoietin-Like Protein 3ANGPTL3 protein, humanApolipoproteins BCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsPCSK9 protein, humanProprotein Convertase 9APOC3CETPDrug-target Mendelian randomizationHuman longevityLDLR

Identifiers

PMID38082436
PMCPMC10714481
OpenAlexW4389621497

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LicenceCC BY
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Registered trials

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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.