Evidence map›Paper›PMID 38909219›Full record

ArticleLipids in health and disease2024

Identification of lipid-modifying drug targets for autoimmune diseases: insights from drug target mendelian randomization.

Xiao Hu, Peng Zhang, Yuan Gao, Wen-Wen Ding, Xue-Er Cheng, Qian-Qian Shi, Sheng Li, Yan-Yu Zhu, Hai-Feng Pan, Peng Wang

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Xiao Hu *Department of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Peng Zhang *Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China.
Yuan Gao *Health Services and Management, School of Health Management, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Wen-Wen DingThe Second Clinical School of Medicine, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Xue-Er ChengInstitute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China.
Qian-Qian ShiInstitute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China.
Sheng LiDepartment of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Yan-Yu ZhuInstitute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China.
Hai-Feng PanInstitute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China. panhaifeng@ahmu.edu.cn.
Peng WangDepartment of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. wangpeng19910318@sina.com.

Funding

Anhui Institute of Translational Medicine 2021zhyx-B04Natural Science Foundation of Anhui Medical University 2022xkj006Natural Science Foundation of Anhui Province 2108085Y26the Key Scientific Research Foundation of the Education Department of the Province Anhui 2022AH050653
6 · The paper itself

Abstract

backgroundsA growing body of evidence has highlighted the interactions of lipids metabolism and immune regulation. Nevertheless, there is still a lack of evidence regarding the causality between lipids and autoimmune diseases (ADs), as well as their possibility as drug targets for ADs.

objectivesThis study was conducted to comprehensively understand the casual associations between lipid traits and ADs, and evaluate the therapeutic possibility of lipid-lowering drug targets on ADs.

methodsGenetic variants for lipid traits and variants encoding targets of various lipid-lowering drugs were derived from Global Lipid Genetics Consortium (GLGC) and verified in Drug Bank. Summary data of ADs were obtained from MRC Integrative Epidemiology Unit (MER-IEU) database and FinnGen consortium, respectively. The causal inferences between lipid traits/genetic agents of lipid-lowering targets and ADs were evaluated by Mendelian randomization (MR), summary data-based MR (SMR), and multivariable MR (MVMR) analyses. Enrichment analysis and protein interaction network were employed to reveal the functional characteristics and biological relevance of potential therapeutic lipid-lowering targets.

resultsThere was no evidence of causal effects regarding 5 lipid traits and 9 lipid-lowering drug targets on ADs. Genetically proxied 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) inhibition was associated with a reduced risk of rheumatoid arthritis (RA) in both discovery (OR [odds ratio] = 0.45, 95%CI: 0.32, 0.63, P = 6.79 × 10

conclusionsOur study reveals causal links of genetically proxied HMGCR inhibition (lipid-lowering drug targets) and HMGCR expression inhibition with a decreased risk of RA, suggesting that HMGCR may serve as candidate drug targets for the treatment and prevention of RA.

Indexed as

Autoimmune DiseasesHypolipidemic AgentsMendelian Randomization AnalysisHumansHydroxymethylglutaryl CoA ReductasesLipid MetabolismLipidsPolymorphism, Single NucleotideProtein Interaction MapsHydroxymethylglutaryl CoA ReductasesHypolipidemic AgentsLipidsAutoimmune diseasesLipid-lowering drugsMendelian randomizationRheumatoid arthritis

Identifiers

PMID38909219
PMCPMC11193261

What Socratic holds

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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 Socratic graph.