Risk for complications and mortality among patients with type 2 diabetes (T2D) is heterogenous. Different trajectories can be identified in the prediabetic state, which comprises heterogenous metabolic clusters. It is not known whether such pathophysiologic clusters of prediabetes and diabetes affect survival in at-risk persons being evaluated for coronary heart disease. The LURIC Study recruited patients referred for coronary angiography at a median age of 63 (IQR 56-70) who have since been followed-up for a median of 14.5 (IQR 9.6-17.7) years. Clustering of 1269 subjects without diabetes was performed with oGTT-derived glucose and insulin; fasting triglyceride, high-density lipoprotein, BMI, waist and hip circumference. Patients with T2D (n=794) were clustered using age, BMI, glycemia, homeostasis model assessment, and islet autoantibodies. Associations of clusters with mortality were analyzed using Cox regression. Individuals without diabetes were classified into six subphenotypes, with 884 assigned to subjects at low-risk (cluster 1,2,4) and 385 at high-risk (cluster 3,5,6) for diabetes. We found significantly increased mortality in clusters 3 (hazard ratio (HR) 1.42) , 5 (HR 1.43) and 6 (HR 1.46) age-, BMI-, HbA1c- and sex-adjusted. In the T2D group, 5were assigned to mild age-related diabetes (MARD) , 183 to severe insulin-resistant diabetes (SIRD) , 84 to mild obesity-related diabetes (MOD) , to severe insulin-deficient diabetes (SIDD) . Compared to the low-risk nondiabetes group, crude mortality was not different in MOD. An increased mortality was found for MARD (HR 2.2) , SIRD (HR 2.2) and SIDD (HR 2.5) . Metabolic clustering successfully stratifies survival even among persons already undergoing invasive coronary diagnostics. Novel clustering approaches based on glucose metabolism can identify persons who require special attention as they are in danger of increased mortality Disclosure K.Prystupa: None. G.Delgado: None. A.P.Moissl: None. M.E.Kleber: Employee; SYNLAB Holding Deutschland GmbH. M.Heni: Advisory Panel; Boehringer Ingelheim International GmbH, Research Support; Boehringer Ingelheim International GmbH, Sanofi, Speaker's Bureau; Amryt Pharma Plc, Boehringer Ingelheim International GmbH, Novo Nordisk. A.L.Birkenfeld: None. A.Fritsche: Advisory Panel; Boehringer Ingelheim International GmbH, Novo Nordisk, Sanofi-Aventis Deutschland GmbH. W.Maerz: None. R.Wagner: Advisory Panel; Akcea Therapeutics, Daiichi Sankyo, Sanofi-Aventis Deutschland GmbH, Speaker's Bureau; Lilly, Novo Nordisk, Sanofi-Aventis Deutschland GmbH. Funding German Federal Ministry of Education and Research (BMBF) (01GI0925)
Adult-onset type 1 diabetes (T1D) is a chronic disease with progressive beta-cell destruction. However, individuals with adult-onset T1D are metabolically dissimilar. We aimed to identify metabolically distinct groups in a comprehensively phenotyped cohort of individuals with recent-onset T1D. Participants with T1D (n=550) were split by presence of glutamic-acid decarboxylase antibody (GADA) into a GADA- (n=95) and GADA+ groups (n=455). GADA+ was clustered using partitioning around medoids based on fasting C-peptide, glucose, triglycerides and HDL resulting in 2 distinguished GADA+ clusters. All 3 clusters were compared at baseline (first year of diabetes diagnosis) and after five years of follow-up using ANOVA, chi-squared test and logistic regression adjusted for age and sex. The larger GADA+ cluster (n=285) with younger age, lower BMI and lower C-peptide was termed “classic T1D”. The other GADA+ cluster (n=170) combined features of type 1 and type 2 diabetes and was named “mixed T1D”. Patients of the “mixed T1D” cluster did not gain weight over 5 years (p=0.29), which was not the case for “classic T1D” cluster (p<0.001, increased BMI with an effect size 0.07) and GADA-cluster (p=0.01, effect size 0.04) participants. The “classic T1D” cluster had the highest insulin sensitivity at baseline (p<0.001) that sharply decreased during five years of follow-up. At five years, there was no difference in insulin sensitivity across the 3 clusters (p=0.78). There were no differences in HbA1c levels across clusters neither at baseline (p=0.48) nor after 5 years (p=0.64). Classic T1D participants reported a higher incidence of hypoglycemia (OR 4.92, 95% CI 1.9-13.5, p=0.001). The incidence of both distal peripheral sensory (OR 2.89, 95%CI1.05-8.29, p= 0.041) and cardiac autonomic neuropathy (OR 9.61, 95%CI 2.35-49.8, p= 0.003), was higher in “mixed T1D”. Based on rapidly available laboratory variables, individuals with recent-onset adult type 1 diabetes can be stratified into clusters with different clinical course and complication risk Disclosure K.Prystupa: Other Relationship; Berlin-Chemie AG. S.M.Meyhöfer: Speaker's Bureau; Novo Nordisk, AstraZeneca, Lilly, Amgen Inc., Boehringer-Ingelheim, Novartis. O.P.Zaharia: None. N.Saatmann: None. M.Huttasch: None. K.Strassburger: None. V.Burkart: None. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. R.Wagner: Advisory Panel; Daiichi Sankyo, Speaker's Bureau; Novo Nordisk, Sanofi. A.Fritsche: Advisory Panel; Novo Nordisk, Lilly, Sanofi, Boehringer-Ingelheim, Speaker's Bureau; AstraZeneca, SYNLAB Holding Deutschland GmbH. G.J.Bönhof: None. A.Strom: None. M.Heni: Advisory Panel; Boehringer-Ingelheim, Sanofi, Research Support; Boehringer Ingelheim Inc., Speaker's Bureau; Lilly, Bayer Inc., Sanofi, Boehringer-Ingelheim, Novo Nordisk, Amryt Pharma Plc. J.Seissler: None. J.Szendroedi: None. A.F.Pfeiffer: Advisory Panel; Abbott Diabetes, Speaker's Bureau; Novo Nordisk, Sanofi-Aventis Deutschland GmbH. M.W.Stumvoll: None.
Recent studies identified distinct endotypes of diabetes with differences in metabolic features and in risk for diabetes-related comorbidities. Of note, persons allocated to the severe insulin resistant diabetes (SIRD) endotype, who show increased prevalence of nonalcoholic fatty liver disease (NAFLD) and chronic kidney disease (CKD), are more frequently carriers of the G-allele in the single-nucleotide polymorphism (SNP) rs738409 in the patatin-like phospholipase domain containing 3 (PNPLA3) gene. This SNP associates with increased risk of NAFLD yet the association between the presence of the PNPLA3 SNP and CKD remains controversial. The present study examined whether this SNP differently associates with CKD in endotypes of recent-onset diabetes. Participants with newly diagnosed diabetes (n=707) from the prospective German Diabetes Study underwent k-means clustering, genotyping, magnetic resonance spectroscopy to determine hepatocellular lipid content (HCL) and laboratory analyses to calculate the glomerular filtration rates (eGFR). SIRD had the lowest eGFR and highest HCL compared to severe insulin deficient, moderate obesity-related, moderate age-related and severe autoimmune diabetes clusters (all p<0.05). HCL was negatively associated with eGFR (r=-0.287, p<0.01) across all groups. Further stratification by PNPLA3 G-allele carrier status did not reveal any association between HCL and eGFR in any of the diabetes types, irrespective of G-allele carrier status. However, with declining eGFR the proportion of G-allele carriers increased from 44% for eGFR >60 ml/min to 52% for eGFR <60 ml/min (p<0.05). In conclusion, increased hepatic lipid content is associated with reduced kidney function across all diabetes endotypes. This association is independent of the presence of the PNPLA3 polymorphism in newly diagnosed diabetes, but there might be role for PNPLA3 for the severity of CKD. Disclosure O.P. Zaharia: None. K. Strassburger: None. B. Knebel: None. Y. Kupriyanova: None. J. Kotzka: None. K. Bódis: None. M. Schön: None. M. Bombrich: None. C. Möser: None. K. Prystupa: Other Relationship; Berlin-Chemie AG. H. Al-Hasani: None. V. Schrauwen-Hinderling: None. K. Jandeleit-Dahm: None. R. Wagner: Speaker's Bureau; Novo Nordisk, Sanofi. Advisory Panel; Daiichi Sankyo. M. Roden: Advisory Panel; Eli Lilly and Company. Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis. Consultant; TARGET PharmaSolutions, Inc. Research Support; Sanofi. Funding German Research Foundation; European Foundation for the Study of Diabetes; German Diabetes Association; German Federal Ministry of Education and Research; Heinrich Heine University
The human brain is an insulin-sensitive organ that modulates whole-body glucose metabolism and adiposity. In case of brain insulin resistance, this regulation is disturbed. In the periphery, insulin sensitivity varies along the menstrual cycle, while the effects on brain insulin action are still unknown. We here investigated the impact of menstrual cycle on brain insulin sensitivity of the human hypothalamus and on brain-derived modulation of peripheral metabolism. In 26 naturally cycling women (age 19-29 years, BMI 18-24 kg/m2), brain insulin action was assessed in both the follicular and the luteal phase using nasal application of 160 U insulin. In fifteen women, we assessed hypothalamic insulin responsiveness by functional MRI combined with nasal insulin. In eleven women, brain-derived modulation of peripheral insulin sensitivity was studied by hyperinsulinemic euglycemic clamps combined with insulin vs placebo spray. Only in the follicular phase, nasal insulin significantly decreased hypothalamic blood flow (p=0.02), indicating proper brain insulin action. In the luteal phase, insulin induced no such effect (p=0.6). During hyperinsulinemic euglycemic clamps in the follicular phase, more glucose had to be infused after insulin compared to placebo spray. This difference remained significant after adjustment for circulating glucose and insulin (p<0.0001), which was not the case in the luteal phase (p=0.1). High estradiol/progesterone ratio, as present during the follicular phase, was linked to a stronger effect of insulin spray on glucose infusion rates than placebo. Brain insulin sensitivity is a regulated process that can rapidly adapt to changing physiologic requirements, as through the menstrual cycle. In the luteal phase, we detected hypothalamic insulin resistance, which likely contributed to the lacking modulation of peripheral insulin sensitivity through brain insulin delivery. Thus, brain insulin resistance could contribute to whole-body insulin resistance in the luteal phase. Disclosure J.Hummel: None. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. H.Häring: None. A.Fritsche: Advisory Panel; Novo Nordisk, Lilly, Sanofi, Boehringer-Ingelheim, Speaker's Bureau; AstraZeneca, SYNLAB Holding Deutschland GmbH. A.Peter: None. R.Wagner: Advisory Panel; Daiichi Sankyo, Speaker's Bureau; Novo Nordisk, Sanofi. S.Kullmann: None. M.Heni: Advisory Panel; Boehringer-Ingelheim, Sanofi, Research Support; Boehringer Ingelheim Inc., Speaker's Bureau; Lilly, Bayer Inc., Sanofi, Boehringer-Ingelheim, Novo Nordisk, Amryt Pharma Plc. C.Benkendorff: None. L.Fritsche: None. K.Prystupa: Other Relationship; Berlin-Chemie AG. A.Vosseler: None. S.Gancheva: Consultant; Novo Nordisk, Bayer Inc. S.Trenkamp: None. A.L.Birkenfeld: None. H.Preissl: None. Funding German Federal Ministry of Education and Research
Heterogeneity in type 2 diabetes (T2D) can be represented by a tree-like structure using reverse graph-embedded dimensionality reduction. We aimed to validate this approach and study if intensified phenotyping stratifies complications. Participants (n=927) of the German Diabetes Study (GDS) with recent-onset T2D were mapped onto a two-dimensional tree based on HbA1c, BMI, total and HDL cholesterol, triglycerides, alanine aminotransferase, creatinine, systolic and diastolic blood pressure, residualized for age and sex. A subset (n=447) had follow-up examinations after 5 years. Phenotypic variability rendered on a tree structure showed gradients for insulin sensitivity (hyperinsulinemic-euglycemic clamp, both dimensions: p<0.001) and insulin secretion (intravenous glucose tolerance test, both dimensions: p<0.001) (Fig 1). Individuals in the tree branch with the lowest insulin sensitivity had the highest liver fat content (1H-MR spectroscopy, pdim1<0.001, pdim2=0.04), elevated cardiovascular hazard (nevents=147, HRmax 4.0, pdim1=0.2, pdim2<0.001) and diabetic retinopathy (nevents=36, fundus photography, HRmax 2.5, pdim1=0.04, pdim2=0.2). This method provides an alternative approach to discrete clusters in identifying persons at high risk of certain diabetes-related diseases, potentially providing a framework for precision diabetology. Disclosure M.Schön: None. G.J.Bönhof: None. A.L.Birkenfeld: None. J.Seissler: None. A.F.Pfeiffer: Advisory Panel; Abbott Diabetes, Speaker's Bureau; Novo Nordisk, Sanofi-Aventis Deutschland GmbH. M.Blüher: Advisory Panel; Boehringer Ingelheim Inc., Lilly, Novo Nordisk, Consultant; Novo Nordisk Foundation, Speaker's Bureau; Amgen Inc., AstraZeneca, Bayer Inc., Daiichi Sankyo, Novartis, Sanofi-Aventis Deutschland GmbH. S.R.Bornstein: None. J.Szendroedi: None. S.Meyhoefer: None. V.Burkart: None. V.Schrauwen-hinderling: None. K.Prystupa: Other Relationship; Berlin-Chemie AG. O.Kuss: Consultant; Berlin-Chemie AG. E.Pearson: Speaker's Bureau; Novo Nordisk, Lilly, Illumina. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. R.Wagner: Advisory Panel; Daiichi Sankyo, Speaker's Bureau; Novo Nordisk, Sanofi. The german diabetes study (gds) group: n/a. T.Mori: None. O.P.Zaharia: None. K.Bódis: None. Y.Kupriyanova: None. A.Nair: None. A.Strom: None. R.Guthoff: Other Relationship; Alimera, Bayer Inc., Novartis, Allergan. Funding German Diabetes Center; German Federal Ministry of Health (Berlin, Germany); Ministry of Culture and Science of the state North Rhine-Westphalia (Düsseldorf, Germany); German Federal Ministry of Education and Research; German Center for Diabetes Research
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