Effects of ACLY Inhibition on Body Weight Distribution: A Drug Target Mendelian Randomization Study

Author:

Gill Dipender12ORCID,Dib Marie-Joe3ORCID,Gill Rubinder2,Bornstein Stefan R.456,Burgess Stephen78,Birkenfeld Andreas L.5910ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK

2. Primula Group Ltd., London N8 0RL, UK

3. Division of Cardiovascular Medicine, Perelman School of Advanced Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA

4. Department of Internal Medicine III, University Clinic, Technical University Dresden, D-01062 Dresden, Germany

5. German Center for Diabetes Research (DZD), D-85764 Neuherberg, Germany

6. Department of Diabetes, School of Cardiovascular and Metabolic Medicine & Sciences, King’s College London, London WC2R 2LS, UK

7. MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK

8. Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK

9. Department of Internal Medicine IV, Diabetology, Endocrinology and Nephrology, Eberhard Karls University Tübingen, D-72074 Tübingen, Germany

10. Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard Karls University Tübingen, D-72074Tübingen, Germany

Abstract

Background: Adenosine triphosphate-citrate lyase (ACLY) inhibition has proven clinically efficacious for low-density lipoprotein cholesterol (LDL-c) lowering and cardiovascular disease (CVD) risk reduction. Clinical and genetic evidence suggests that some LDL-c lowering strategies, such as 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR) inhibition with statin therapy increase body weight and the risk of developing type 2 diabetes mellitus (T2DM). However, whether ACLY inhibition affects metabolic risk factors is currently unknown. We aimed to investigate the effects of ACLY inhibition on glycaemic and anthropometric traits using Mendelian randomization (MR). Methods: As genetic instruments for ACLY inhibition, we selected weakly correlated single-nucleotide polymorphisms at the ACLY gene associated with lower ACLY gene expression in the eQTLGen study (N = 31,684) and lower LDL-c levels in the Global Lipid Genetic Consortium study (N = 1.65 million). Two-sample Mendelian randomization was employed to investigate the effects of ACLY inhibition on T2DM risk, and glycaemic and anthropometric traits using summary data from large consortia, with sample sizes ranging from 151,013 to 806,834 individuals. Findings for genetically predicted ACLY inhibition were compared to those obtained for genetically predicted HMGCR inhibition using the same instrument selection strategy and outcome data. Results: Primary MR analyses showed that genetically predicted ACLY inhibition was associated with lower waist-to-hip ratio (β per 1 standard deviation lower LDL-c: −1.17; 95% confidence interval (CI): −1.61 to −0.73; p < 0.001) but not with risk of T2DM (odds ratio (OR) per standard deviation lower LDL-c: 0.74, 95% CI = 0.25 to 2.19, p = 0.59). In contrast, genetically predicted HMGCR inhibition was associated with higher waist-to-hip ratio (β = 0.15; 95%CI = 0.04 to 0.26; p = 0.008) and T2DM risk (OR = 1.73, 95% CI = 1.27 to 2.36, p < 0.001). The MR analyses considering secondary outcomes showed that genetically predicted ACLY inhibition was associated with a lower waist-to-hip ratio adjusted for body mass index (BMI) (β = −1.41; 95%CI = −1.81 to −1.02; p < 0.001). In contrast, genetically predicted HMGCR inhibition was associated with higher HbA1c (β = 0.19; 95%CI = 0.23 to 0.49; p < 0.001) and BMI (β = 0.36; 95%CI = 0.23 to 0.49; p < 0.001). Conclusions: Human genetic evidence supports the metabolically favourable effects of ACLY inhibition on body weight distribution, in contrast to HMGCR inhibition. These findings should be used to guide and prioritize ongoing clinical development efforts.

Publisher

MDPI AG

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