Hepatic transcriptomic signatures of statin treatment are associated with impaired glucose homeostasis in severely obese patients

• Published in: BMC medical genomics 2019-06, Vol.12 (1), p.80-80, Article 80
• Main Authors: Margerie, Daniel, Lefebvre, Philippe, Raverdy, Violeta, Schwahn, Uwe, Ruetten, Hartmut, Larsen, Philip, Duhamel, Alain, Labreuche, Julien, Thuillier, Dorothée, Derudas, Bruno, Gheeraert, Céline, Dehondt, Hélène, Dhalluin, Quentin, Alexandre, Jérémy, Caiazzo, Robert, Nesslany, Pamela, Verkindt, Helene, Pattou, François, Staels, Bart
• Format: Article
• Language: English
• Subjects: Adult; Anopheles; Antihypertensives; Antilipemic agents; Biochemistry, Molecular Biology; Blood pressure; Body mass index; Cardiovascular diseases; Cholesterol - biosynthesis; Comorbidity; Criminal investigation; Diabetes mellitus; DNA microarrays; Dosage and administration; Drug therapy; Drugs; Dyslipidemia; Fatty acids; Female; Gene expression; Gene networks; Genes; Genomes; Genomics; Glucose; Glucose - metabolism; Glucose tolerance; HMG-CoA reductase inhibitors; Homeostasis; Homeostasis - drug effects; Human; Humans; Hydroxymethylglutaryl-CoA reductase; Hydroxymethylglutaryl-CoA Reductase Inhibitors - pharmacology; Hypertension; Iatrogenic diabetes; Insulin; Insulin resistance; Life Sciences; Lipogenesis; Liver; Liver - drug effects; Liver - metabolism; Male; Medical errors; Medical research; Metabolic disorders; Molecular modelling; Obesity; Obesity - genetics; Obesity - metabolism; Parenting; Patients; Phenotypes; Prevention; Propensity Score; Protein binding; Risk factors; Statin; Statins; Sterol Regulatory Element Binding Protein 1 - metabolism; Sterol regulatory element-binding protein; Transcriptome - drug effects; Triglycerides; User groups
• ISSN: 1755-8794; 1755-8794
• DOI: 10.1186/s12920-019-0536-1

Clinical data identified an association between the use of HMG-CoA reductase inhibitors (statins) and incident diabetes in patients with underlying diabetes risk factors such as obesity, hypertension and dyslipidemia. The molecular mechanisms however are unknown. An observational cross-sectional study included 910 severely obese patients, mean (SD) body mass index (BMI) 46.7 (8.7), treated with or without statins (ABOS cohort: a biological atlas of severe obesity). Data and sample collection took place in France between 2006 and 2016. Transcriptomic signatures of statin treatment in human liver obtained from genome-wide transcriptomic profiling of five different statin drugs using microarrays were correlated to clinico-biological phenotypes and also assigned to biological pathways and mechanisms. Patients from the non-statin-users group were matched to patients in the statin users group by propensity score analysis to minimize confounding effects from age, gender, parental familial history of diabetes, BMI, waist circumference, systolic and diastolic blood pressure and use of anti-hypertensive drugs as pre-specified covariates. We determined the hepatic, statin-related gene signature from genome-wide transcriptomic profiling in severely obese patients with varying degrees of glucose tolerance and cardio-metabolic comorbidities. One hundred and fifty seven patients on statin treatment in the matched cohort showed higher diabetes prevalence (OR = 2.67; 95%CI, 1.60-4.45; P = 0.0002) and impairment of glucose homeostasis. This phenotype was associated with molecular signatures of increased hepatic de novo lipogenesis (DNL) via activation of sterol regulatory element-binding protein 1 (SREBP1) and concomitant upregulation of the expression of key genes in both fatty acid and triglyceride metabolism. A DNL gene activation profile in response to statins is associated with insulin resistance and the diabetic status of the patients. Identified molecular signatures thus suggest that statin treatment increases the risk for diabetes in humans at least in part via induction of DNL. NCT01129297 . Registered May 242,010 (retrospectively registered).