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

Lipids Health Dis

Department of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.

Published: June 2024

AI Article Synopsis

  • The study investigates the potential connections between lipid metabolism and autoimmune diseases (ADs), particularly looking at whether lipid traits and targeting lipid-lowering drugs could influence ADs.
  • Using advanced genetic and statistical methods, researchers found no causal links between most lipid traits and drug targets to various ADs, but did identify a potential benefit of inhibiting the HMGCR enzyme on reducing rheumatoid arthritis risk.
  • The results indicate that while lipid metabolism may play a role in autoimmune conditions, further research is needed to fully understand its therapeutic implications, especially for conditions like rheumatoid arthritis.

Article Abstract

Backgrounds: A 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.

Objectives: This 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.

Methods: Genetic 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.

Results: There 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) and replicate datasets (OR = 0.37, 95%CI: 0.23, 0.61, P = 7.81 × 10). SMR analyses supported that genetically proxied HMGCR inhibition had causal effects on RA in whole blood (OR = 0.48, 95%CI: 0.29, 0.82, P = 6.86 × 10) and skeletal muscle sites (OR = 0.75, 95%CI: 0.56, 0.99, P = 4.48 × 10). After controlling for blood pressure, body mass index (BMI), smoking and drinking alchohol, HMGCR suppression showed a direct causal effect on a lower risk of RA (OR = 0.33, 95%CI: 0.40, 0.96, P = 0.042).

Conclusions: Our 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11193261PMC
http://dx.doi.org/10.1186/s12944-024-02181-2DOI Listing

Publication Analysis

Top Keywords

drug targets
24
lipid traits
12
lipid-lowering drug
12
genetically proxied
12
hmgcr inhibition
12
drug
8
targets
8
autoimmune diseases
8
mendelian randomization
8
targets ads
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!