Meta-analysis of genome-wide DNA methylation and integrative omics of age in human skeletal muscle

International audienceBackground: Knowledge of age-related DNA methylation changes in skeletal muscle is limited, yet this tissue is severely affected by ageing in humans.Methods: We conducted a large-scale epigenome-wide association study meta-analysis of age in human skeletal muscle from 10 studies (total n = 908 muscle methylomes from men and women aged 18-89 years old). We explored the genomic context of age-related DNA methylation changes in chromatin states, CpG islands, and transcription factor binding sites and performed gene set enrichment analysis. We then integrated the DNA methylation data with known transcriptomic and proteomic age-related changes in skeletal muscle. Finally, we updated our recently developed muscle epigenetic clock (https://bioconductor.org/packages/release/bioc/html/MEAT.html).Results: We identified 6710 differentially methylated regions at a stringent false discovery rate <0.005, spanning 6367 unique genes, many of which related to skeletal muscle structure and development. We found a strong increase in DNA methylation at Polycomb target genes and bivalent chromatin domains and a concomitant decrease in DNA methylation at enhancers. Most differentially methylated genes were not altered at the mRNA or protein level, but they were nonetheless strongly enriched for genes showing age-related differential mRNA and protein expression. After adding a substantial number of samples from five datasets (+371), the updated version of the muscle clock (MEAT 2.0, total n = 1053 samples) performed similarly to the original version of the muscle clock (median of 4.4 vs. 4.6 years in age prediction error), suggesting that the original version of the muscle clock was very accurate.Conclusions: We provide here the most comprehensive picture of DNA methylation ageing in human skeletal muscle and reveal widespread alterations of genes involved in skeletal muscle structure, development, and differentiation. We have made our results available as an open-access, user-friendly, web-based tool called MetaMeth (https://sarah-voisin.shinyapps.io/MetaMeth/)

Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study

Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develop a model using machine learning to provide individual preoperative prediction of 5-year weight loss trajectories after surgery. Methods In this multinational retrospective observational study we enrolled adult participants (aged $\ge$18 years) from ten prospective cohorts (including ABOS [NCT01129297], BAREVAL [NCT02310178], the Swedish Obese Subjects study, and a large cohort from the Dutch Obesity Clinic [Nederlandse Obesitas Kliniek]) and two randomised trials (SleevePass [NCT00793143] and SM-BOSS [NCT00356213]) in Europe, the Americas, and Asia, with a 5 year followup after Roux-en-Y gastric bypass, sleeve gastrectomy, or gastric band. Patients with a previous history of bariatric surgery or large delays between scheduled and actual visits were excluded. The training cohort comprised patients from two centres in France (ABOS and BAREVAL). The primary outcome was BMI at 5 years. A model was developed using least absolute shrinkage and selection operator to select variables and the classification and regression trees algorithm to build interpretable regression trees. The performances of the model were assessed through the median absolute deviation (MAD) and root mean squared error (RMSE) of BMI. Findings10 231 patients from 12 centres in ten countries were included in the analysis, corresponding to 30 602 patient-years. Among participants in all 12 cohorts, 7701 (75$\bullet$3%) were female, 2530 (24$\bullet$7%) were male. Among 434 baseline attributes available in the training cohort, seven variables were selected: height, weight, intervention type, age, diabetes status, diabetes duration, and smoking status. At 5 years, across external testing cohorts the overall mean MAD BMI was 2$\bullet$8 kg/m${}^2$ (95% CI 2$\bullet$6-3$\bullet$0) and mean RMSE BMI was 4$\bullet$7 kg/m${}^2$ (4$\bullet$4-5$\bullet$0), and the mean difference between predicted and observed BMI was-0$\bullet$3 kg/m${}^2$ (SD 4$\bullet$7). This model is incorporated in an easy to use and interpretable web-based prediction tool to help inform clinical decision before surgery. InterpretationWe developed a machine learning-based model, which is internationally validated, for predicting individual 5-year weight loss trajectories after three common bariatric interventions.Comment: The Lancet Digital Health, 202

Evaluation du statut nutritionnel des patients hémodialysés du C.H.R.U. de Lille

LILLE2-BU Santé-Recherche (593502101) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

Differential Unfolded Protein Response in skeletal muscle from non-diabetic glucose tolerant or intolerant patients with obesity before and after bariatric surgery

International audienceAIMS:Not all people with obesity become glucose intolerant, suggesting differential activation of cellular pathways. The unfolded protein response (UPR) may contribute to the development of insulin resistance in several organs, but its role in skeletal muscle remains debated. Therefore, we explored the UPR activation in muscle from non-diabetic glucose tolerant or intolerant patients with obesity and the impact of bariatric procedures.METHODS:Muscle biopsies from 22 normoglycemic (NG, blood glucose measured 120 min after an oral glucose tolerance test, G120 < 7.8 mM) and 22 glucose intolerant (GI, G120 between 7.8 and 11.1 mM) patients with obesity were used to measure UPR activation by RTqPCR and western blot. Then, UPR was studied in biopsies from 7 NG and 7 GI patients before and 1 year after bariatric surgery.RESULTS:Binding immunoglobulin protein (BIP) protein was ~ 40% higher in the GI compared to NG subjects. Contrastingly, expression of the UPR-related genes BIP, activating transcription factor 6 (ATF6) and unspliced X-box binding protein 1 (XBP1u) were significantly lower and C/EBP homologous protein (CHOP) tended to decrease (p = 0.08) in GI individuals. While BIP protein positively correlated with fasting blood glucose (r = 0.38, p = 0.01), ATF6 and CHOP were associated with G120 (r = - 0.38 and r = - 0.41, p < 0.05) and the Matsuda index (r = 0.37 and r = 0.38, p < 0.05). Bariatric surgery improved metabolic parameters, associated with higher CHOP expression in GI patients, while ATF6 tended to increase (p = 0.08).CONCLUSIONS:CHOP and ATF6 expression decreased in non-diabetic GI patients with obesity and was modified by bariatric surgery. These genes may contribute to glucose homeostasis in human skeletal muscle

Post-bariatric surgery changes in quinolinic and xanthurenic acid concentrations are associated with glucose homeostasis

Background: An increase of plasma kynurenine concentrations, potentially bioactive metabolites of tryptophan, was found in subjects with obesity, resulting from low-grade inflammation of the white adipose tissue. Bariatric surgery decreases low-grade inflammation associated with obesity and improves glucose control. Objective: Our goal was to determine the concentrations of all kynurenine metabolites after bariatric surgery and whether they were correlated with glucose control improvement. Design: Kynurenine metabolite concentrations, analysed by liquid or gas chromatography coupled with tandem mass spectrometry, circulating inflammatory markers, metabolic traits, and BMI were measured before and one year after bariatric surgery in 44 normoglycemic and 47 diabetic women with obesity. Associations between changes in kynurenine metabolites concentrations and in glucose control and metabolic traits were analysed between baseline and twelve months after surgery. Results: Tryptophan and kynurenine metabolite concentrations were significantly decreased one year after bariatric surgery and were correlated with the decrease of the usCRP in both groups. Among all the kynurenine metabolites evaluated, only quinolinic acid and xanthurenic acid were significantly associated with glucose control improvement. The one year delta of quinolinic acid concentrations was negatively associated with the delta of fasting glucose (p = 0.019) and HbA1c (p = 0.014), whereas the delta of xanthurenic acid was positively associated with the delta of insulin sensitivity index (p = 0.0018). Conclusion: Bariatric surgery has induced a global down-regulation of kynurenine metabolites, associated with weight loss. Our results suggest that, since kynurenine monoxygenase diverts the kynurenine pathway toward the synthesis of xanthurenic acid, its inhibition may also contribute to glucose homeostasis.12 page(s

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

International audienceBACKGROUND: 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.METHODS: 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.RESULTS: 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.CONCLUSIONS: 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.TRIAL REGISTRATION: NCT01129297 . Registered May 242,010 (retrospectively registered)

A series of severe neurologic complications after bariatric surgery in France: the NEUROBAR Study

International audienceBackground: Neurologic complications after bariatric surgery are rare, but can have dramatic consequences. Little data are available on this topic.Objectives: The aim of the Neurologic complications after BARiatric surgery (NEUROBAR) study was to define, which factors (anthropometric, nutritional, surgical, etc.) were frequently associated with neurologic complications after bariatric surgery.Settings: Data were collected by the French Centers of Obesity Care Management hosted in University Hospitals.Methods: An online standardized questionnaire was designed and submitted to the 37 French Centers of Obesity Management. This questionnaire included items about patient characteristics, bariatric surgery, neurologic complications, nutritional status, and management. Patients were retrospectively included from January 2010 to November 2018.Results: Thirteen centers included 38 patients (34 females and 4 males) with neurologic complications after bariatric surgery. The 2 main bariatric procedures were gastric bypass and sleeve gastrectomy. More than half of the patients with neurologic complications had a surgical complication after bariatric surgery (53%) and gastrointestinal symptoms, including vomiting (53%). Vitamin B deficiencies were frequent (74%) including at least 47% of cases with deficiency in Vitamin B1.Conclusion: Early identification of patients with surgical complications and gastrointestinal symptoms after bariatric surgery could help prevent neurologic complications related to nutritional deficiencies. (C) 2020 American Society for Bariatric Surgery

NASH-related increases in plasma bile acid levels depend on insulin resistance

International audienceIntroduction: Plasma bile acids (BA) have been extensively studied as pathophysiological actors in Non-Alcoholic Steatohepatitis (NASH). However, results from clinical studies are often complicated by the association of NASH with type 2 diabetes (T2D), obesity and insulin resistance (IR). Here, we sought to dissect the relationship between NASH, T2D and plasma BA levels in a large patient cohort. Materials and Methods: Four groups of patients from the ABOS cohort (Clin Trials NCT01129297) were included based on presence or absence of histologically evaluated NASH with or without coincident T2D. Patients were matched for BMI, HOMA2-assessed IR, HbA 1c , age and gender. To study the effect of IR and BMI on the association of plasma BA and NASH, patients from the Hepadip study were included. In both cohorts, fasting plasma BA concentrations were measured. Results: Plasma BA concentrations were higher in NASH compared to No-NASH patients both in T2D and NoT2D patients from the ABOS cohort. As we previously reported that plasma BA levels were unaltered in NASH patients of the Hepadip cohort, we assessed the impact of BMI and IR on the association of NASH and BA on the combined BA datasets. Our results revealed that NASH-associated increases in plasma total cholic acid (CA) concentrations depend on the degree of HOMA2-assessed systemic IR, but not on -cell function nor on BMI

Combining diabetes, sex, and menopause as meaningful clinical features associated with NASH and liver fibrosis in individuals with class II and III obesity: A retrospective cohort study.

International audienceObjective:Steatotic liver disease (SLD) is frequent in individuals with obesity. In this study, type 2 diabetes (T2D), sex, and menopausal status were combined to refine the stratification of obesity regarding the risk of advanced SLD and gain further insight into disease physiopathology.Methods:This study enrolled 1446 participants with obesity from the ABOS cohort (NCT01129297), who underwent extensive phenotyping, including liver histology and transcriptome profiling. Hierarchical clustering was applied to classify participants. The prevalence of metabolic disorders associated with steatohepatitis (NASH) and liver fibrosis (F ≥ 2) was determined within each identified subgroup and aligned to clinical and biological characteristics.Results:The prevalence of NASH and F ≥ 2 was, respectively, 9.5% (N = 138/1446) and 11.7% (N = 159/1365) in the overall population, 20.3% (N = 107/726) and 21.1% (N = 106/502) in T2D patients, and 3.4% (N = 31/920) and 6.1% (N = 53/863) in non-T2D patients. NASH and F ≥ 2 prevalence was 15.4% (33/215) and 15.5% (32/206) among premenopausal women with T2D vs. 29.5% (33/112) and 30.3% (N = 36/119) in postmenopausal women with T2D (p < 0.01); and 21.0% (21/100) / 27.0% (24/89) in men with T2D ≥ age 50 years and 17.9% (17/95) / 18.5% (17/92) in men with T2D < age 50 years (NS). The distinct contribution of menopause was confirmed by the interaction between sex and age with respect to NASH among T2D patients (p = 0.048). Finally, several NASH-associated biological traits (lower platelet count; higher serum uric acid; gamma-glutamyl transferase; aspartate aminotransferase) and liver expressed genes AKR1B10 and CCL20 were significantly associated with menopause in women with T2D but not with age in men with T2D.Conclusions:This study unveiled a remarkably high prevalence of advanced SLD after menopause in women with T2D, associated with a dysfunctional biological liver profile