HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.

AbstractBACKGROUND:
Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target.
METHODS:
We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis.
FINDINGS:
Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0·06 mmol/L (95% CI 0·05-0·07) lower LDL cholesterol and higher body weight (0·30 kg, 0·18-0·43), waist circumference (0·32 cm, 0·16-0·47), plasma insulin concentration (1·62%, 0·53-2·72), and plasma glucose concentration (0·23%, 0·02-0·44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1·02, 95% CI 1·00-1·05); the rs12916-T allele association was consistent (1·06, 1·03-1·09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0·92 mmol/L (95% CI 0·18-1·67) at 1-year of follow-up, increased bodyweight by 0·24 kg (95% CI 0·10-0·38 in all trials; 0·33 kg, 95% CI 0·24-0·42 in placebo or standard care controlled trials and -0·15 kg, 95% CI -0·39 to 0·08 in intensive-dose vs moderate-dose trials) at a mean of 4·2 years (range 1·9-6·7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1·12, 95% CI 1·06-1·18 in all trials; 1·11, 95% CI 1·03-1·20 in placebo or standard care controlled trials and 1·12, 95% CI 1·04-1·22 in intensive-dose vs moderate dose trials).
INTERPRETATION:
The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition.
FUNDING:
The funding sources are cited at the end of the paper.
AuthorsDaniel I Swerdlow, David Preiss, Karoline B Kuchenbaecker, Michael V Holmes, Jorgen E L Engmann, Tina Shah, Reecha Sofat, Stefan Stender, Paul C D Johnson, Robert A Scott, Maarten Leusink, Niek Verweij, Stephen J Sharp, Yiran Guo, Claudia Giambartolomei, Christina Chung, Anne Peasey, Antoinette Amuzu, KaWah Li, Jutta Palmen, Philip Howard, Jackie A Cooper, Fotios Drenos, Yun R Li, Gordon Lowe, John Gallacher, Marlene C W Stewart, Ioanna Tzoulaki, Sarah G Buxbaum, Daphne L van der A, Nita G Forouhi, N Charlotte Onland-Moret, Yvonne T van der Schouw, Renate B Schnabel, Jaroslav A Hubacek, Ruzena Kubinova, Migle Baceviciene, Abdonas Tamosiunas, Andrzej Pajak, Roman Topor-Madry, Urszula Stepaniak, Sofia Malyutina, Damiano Baldassarre, Bengt Sennblad, Elena Tremoli, Ulf de Faire, Fabrizio Veglia, Ian Ford, J Wouter Jukema, Rudi G J Westendorp, Gert Jan de Borst, Pim A de Jong, Ale Algra, Wilko Spiering, Anke H Maitland-van der Zee, Olaf H Klungel, Anthonius de Boer, Pieter A Doevendans, Charles B Eaton, Jennifer G Robinson, David Duggan, DIAGRAM Consortium, MAGIC Consortium, InterAct Consortium, John Kjekshus, John R Downs, Antonio M Gotto, Anthony C Keech, Roberto Marchioli, Gianni Tognoni, Peter S Sever, Neil R Poulter, David D Waters, Terje R Pedersen, Pierre Amarenco, Haruo Nakamura, John J V McMurray, James D Lewsey, Daniel I Chasman, Paul M Ridker, Aldo P Maggioni, Luigi Tavazzi, Kausik K Ray, Sreenivasa Rao Kondapally Seshasai, JoAnn E Manson, Jackie F Price, Peter H Whincup, Richard W Morris, Debbie A Lawlor, George Davey Smith, Yoav Ben-Shlomo, Pamela J Schreiner, Myriam Fornage, David S Siscovick, Mary Cushman, Meena Kumari, Nick J Wareham, W M Monique Verschuren, Susan Redline, Sanjay R Patel, John C Whittaker, Anders Hamsten, Joseph A Delaney, Caroline Dale, Tom R Gaunt, Andrew Wong, Diana Kuh, Rebecca Hardy, Sekar Kathiresan, Berta A Castillo, Pim van der Harst, Eric J Brunner, Anne Tybjaerg-Hansen, Michael G Marmot, Ronald M Krauss, Michael Tsai, Josef Coresh, Ronald C Hoogeveen, Bruce M Psaty, Leslie A Lange, Hakon Hakonarson, Frank Dudbridge, Steve E Humphries, Philippa J Talmud, Mika Kivimäki, Nicholas J Timpson, Claudia Langenberg, Folkert W Asselbergs, Mikhail Voevoda, Martin Bobak, Hynek Pikhart, James G Wilson, Alex P Reiner, Brendan J Keating, Aroon D Hingorani, Naveed Sattar
JournalLancet (London, England) (Lancet) Vol. 385 Issue 9965 Pg. 351-61 (Jan 24 2015) ISSN: 1474-547X [Electronic] England
PMID25262344 (Publication Type: Journal Article, Meta-Analysis, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
CopyrightCopyright © 2015 Swerdlow et al. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd. All rights reserved.
Chemical References
  • Cholesterol, HDL
  • Cholesterol, LDL
  • Hydroxymethylglutaryl-CoA Reductase Inhibitors
  • HMGCR protein, human
  • Hydroxymethylglutaryl CoA Reductases
Topics
  • Aged
  • Body Mass Index
  • Body Weight (genetics)
  • Cholesterol, HDL (metabolism)
  • Cholesterol, LDL (metabolism)
  • Diabetes Mellitus, Type 2 (genetics)
  • Female
  • Genetic Testing
  • Humans
  • Hydroxymethylglutaryl CoA Reductases (genetics)
  • Hydroxymethylglutaryl-CoA Reductase Inhibitors (adverse effects)
  • Male
  • Middle Aged
  • Polymorphism, Single Nucleotide (genetics)
  • Randomized Controlled Trials as Topic
  • Risk Factors

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: