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Background: The neurofilament light chain (NFL) is a polypeptide abundant in neuronal axons, reflecting ongoing neuroaxonal degeneration when detected in the blood. However, no previous study has explored NFL as a potential biomarker for diabetic sensorimotor polyneuropathy (DSPN) , a neurodegenerative disease of the peripheral nervous system commonly found in individuals with diabetes. We hypothesized that higher serum NFL levels are associated with DSPN. Methods: We used data from the German Diabetes Study, a prospective observational study that includes adults with recent-onset diabetes ( Results: From a total of 423 participants, 66 (16%) had DSPN. Serum NFL was inversely correlated with age, eGFR and nerve conduction velocities in motor and sensory nerves (all P Spearman Conclusion: NFL might be useful for detecting DSPN in recent-onset diabetes, but validation in other studies will be required. Considering the absence of FDA-approved biomarkers for DSPN, NFL might be a promising biomarker that could improve the management of DSPN. Disclosure H. Maalmi: None. A. Strom: None. S.M. Hauck: None. G.J. Bönhof: None. W. Rathmann: Consultant; IQVIA Inc. Speaker's Bureau; Boehringer Ingelheim International GmbH, Novo Nordisk. S. Trenkamp: None. V. Burkart: None. J.M. Szendroedi: Consultant; Boehringer Ingelheim International GmbH. D. Ziegler: None. M. Roden: Advisory Panel; Eli Lilly and Company. Research Support; Boehringer Ingelheim International GmbH, Nutricia. Speaker's Bureau; Novo Nordisk. C. Herder: Research Support; Sanofi. Funding DZD (FKZ82DZD02D2G)

Insulin resistance and nonalcoholic fatty liver disease (NAFLD) frequently associate with type 2 diabetes (T2D) and cardiovascular disease and worsen their prognosis. We hypothesized that people with recent myocardial infarction (MI) have lower left ventricular ejection fraction (EF) and higher degree of insulin resistance (IR) , hepatocellular lipid content (HCL) and risk of hepatic fibrosis than matched people without MI. Thus, participants of the “DIabetes and ST-Elevation MI (DISTEMI) Study” were examined 6-12 weeks after MI (MI+; n=53, 28% T2D) and compared to age-, sex-, BMI-matched people without MI (MI-; n=48, 31% T2D) . Insulin sensitivity was assessed during fasting (Homeostasis Model Assessment (HOMA) 2-IR) and hyperinsulinemic-euglycemic clamps (M-value) . EF, HCL and liver stiffness, associated with fibrosis stages, were quantified by 1H-magnetic resonance imaging, spectroscopy and elastography, respectively. MI+ had a lower EF (47±2 vs. 58±1 %, p In conclusion, recent myocardial infarction in people with type 2 diabetes associates with decreased ejection fraction and increased insulin resistance. The correlation between insulin resistance and liver fat content suggests that HCL can serve as a non-invasive cardiovascular marker and may identify persons with a worse outcome after myocardial infarction. Disclosure C.Möser: None. M.Roden: Advisory Panel; Eli Lilly and Company, Research Support; Boehringer Ingelheim International GmbH, Nutricia, Speaker's Bureau; Novo Nordisk. O.P.Zaharia: n/a. F.C.Michlotti: None. Y.Kupriyanova: None. V.Schrauwen-hinderling: None. P.Bobrov: None. V.Burkart: None. M.Kelm: Board Member; DGIM-Deutsche Geselleschaft für Innere Medizin, DGK-Deutsche Gesellschaft für Kardiologie, DSHF-Deutsche Stiftung für Herzforschung, ESC- European Society of Cardiology, Other Relationship; Abiomed , Bayer AG, diaplan, Kel Con GmbH, Research Support; Abiomed Europe GmbH, B.Braun, Edwards Lifesciences Corporation, European Union, IPP Med GmbH - Institut für Pharmakologie u. präventive Medizin GmbH, Mars Scientific Advisory Council (MSAC) , Medicure Inc., Microvision Medical. J.M.Szendroedi: Consultant; Boehringer Ingelheim International GmbH. Funding Research Network SFB 1116 of the German Research Foundation

Purpose Recent trials demonstrated remission of type 2 diabetes and non-alcoholic fatty liver disease (NAFLD) following formula diet-induced weight loss. To improve the outreach for populations in need, many mobile health apps targeting weight loss have been developed with limited scientific evaluation of these apps. The present feasibility study investigated the effects of a novel approach incorporating a regular ‘whole food-based’ low-calorie diet combined with app-based digital education and behavioral change program on glucose metabolism and disease management. Methods Twenty-four individuals with type 2 diabetes followed this approach supported by weekly coaching calls for 12 weeks. Phenotyping included bioimpedance analysis, mixed-meal tolerance test, magnetic resonance spectroscopy and transient elastography for assessing liver fat content and liver stiffness. Results Over 12 weeks, participants reduced their body weight by 9% (97 ± 13 to 88 ± 12 kg), body mass index (BMI; 33 ± 5 to 29 ± 4 kg/m2), total fat mass (31 ± 10 to 27 ± 10%) (all p Conclusion This novel approach combining digital education with a low-calorie diet results in effective improvements of body weight, glycemic control and NAFLD and could complement existing care for patients with type 2 diabetes. Trial registration NCT04509245

Context Type 2 diabetes is associated with a greater risk for musculoskeletal disorders, yet its impact on joint function remains unclear. Objective We hypothesized that patients with type 2 diabetes and osteoarthritis would exhibit musculoskeletal impairment, which would associate with insulin resistance and distinct microRNA profiles. Methods Participants of the German Diabetes Study with type 2 diabetes (T2D, n = 39) or normal glucose tolerance (CON, n = 27), both with (+OA) or without osteoarthritis (-OA) underwent intravenous glucose tolerance and hyperinsulinemic-euglycemic clamp tests. Musculoskeletal function was assessed by isometric knee extension strength (KES), grip strength, range of motion (ROM), and balance skills, while neural function was measured by nerve conductance velocity (NCV). Arthritis-related symptoms were quantified using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire, serum arthritis-related microRNA using quantitative polymerase chain reaction. Results Insulin sensitivity was lower in T2D+OA vs T2D-OA (4.4 ± 2.0 vs 5.7 ± 3.0 mg* kg–1*min–1) and in CON+OA vs CON-OA (8.1 ± 2.0 vs 12.0 ± 2.6 mg*kg–1,*min–1, both P Conclusion Musculoskeletal impairment and osteoarthritis-related symptoms are associated with insulin resistance. Type 2 diabetes can mask changes in arthritis-related microRNA profiles.

Diabetes mellitus ist eine heterogene Krankheit mit Unterschieden in der Klinik und dem Risiko fur Komorbiditaten und Komplikationen. Bisherige Klassifikationen beschranken sich – jenseits von Gestationsdiabetes und Sonderformen bekannter Ursache – weitestgehend auf die Beschreibung des Typ-1- und Typ-2-Diabetes. Mittels einfacher Variablen ist es nun moglich, diese Diabetestypen in Subtypen (Cluster) zu unterteilen, die eine prazise Beurteilung spezieller Patientengruppen erlauben und in Zukunft eine masgeschneiderte Pravention, Diagnose und Therapie ermoglichen konnten.

OBJECTIVE The rs738409(G) single nucleotide polymorphism (SNP) in the patatin-like phospholipase domain–containing 3 (PNPLA3) gene associates with increased risk and progression of nonalcoholic fatty liver disease (NAFLD). As the recently described severe insulin-resistant diabetes (SIRD) cluster specifically relates to NAFLD, this study examined whether this SNP differently associates with hepatic lipid content (hepatocellular lipids [HCL]) and insulin sensitivity in recent-onset diabetes. RESEARCH DESIGN AND METHODS A total of 917 participants in the German Diabetes Study (GDS) underwent genotyping, hyperinsulinemic-euglycemic clamps with stable isotopic tracer dilution, and MRS. RESULTS The G allele associated positively with HCL (β = 0.36, P < 0.01), independent of age, sex, and BMI across the whole cohort, but not in the individual clusters. Those with SIRD exhibited lowest whole-body insulin sensitivity compared with those with severe insulin-deficient (SIDD), moderate obesity-related (MOD), moderate age-related (MARD), and severe autoimmune diabetes (SAID) clusters (all P < 0.001). Interestingly, the SIRD group presented with higher prevalence of the rs738409(G) SNP compared with other clusters and the glucose-tolerant control group (P < 0.05). HCL was higher in the SIRD group (median 13.6% [1st quartile 5.8; 3rd quartile 19.1] compared with the MOD (6.4 % [2.1; 12.4], P < 0.05), MARD (3.0% [1.0; 7.9], P < 0.001), SAID (0.4% [0.0; 1.5], P < 0.001), and glucose-tolerant (0.9% [0.4; 4.9), P < 0.001) group. Although the PNPLA3 polymorphism did not directly associate with whole-body insulin sensitivity in SIRD, the G-allele carriers had higher circulating free fatty acid concentrations and greater adipose tissue insulin resistance compared with noncarriers (both P < 0.001). CONCLUSIONS Members of the SIRD cluster are more frequently carriers of the rs738409(G) variant. The SNP-associated adipose tissue insulin resistance and excessive lipolysis may contribute to their NAFLD.

Context Vitamin B12 and folate deficiency are not only linked to hematological, neurological, and cardiovascular diseases, but are also associated with insulin resistance. Metformin can decrease vitamin B12 and folate concentrations. Objective To examine (1) effects of short-term metformin treatment on serum holotranscobalamin (holoTC) and folate and (2) their association with insulin sensitivity in recent-onset type 2 diabetes. Design This cross-sectional analysis comprised patients (known disease duration Main Outcome Measures HoloTC (enzyme-linked immunosorbent assay), cobalamin, and folate (electrochemiluminescence); beta-cell function and whole-body insulin sensitivity, measured during fasting (HOMA-B, HOMA-IR) and intravenous glucose tolerance tests combined with hyperinsulinemic–euglycemic clamp tests. Results HoloTC (105.4 [82.4, 128.3] vs 97 [79.7, 121.9] pmol/L) and folate concentrations (13.4 [9.3, 19.3] vs 12.7 [9.3, 22.0] nmol/L) were similar in both groups. Overall, holoTC was not associated with fasting or glucose-stimulated beta-cell function and insulin-stimulated glucose disposal. Cobalamin measurements yielded similar results in representative subgroups. In NPT but not MET, folate levels were inversely correlated with HOMA-IR (r = –0.239, P = .007). Folate levels did not relate to insulin sensitivity or insulin secretion in the whole cohort and in each group separately after adjustment for age, body mass index, and sex. Conclusions Metformin does not affect circulating holoTC and folate concentrations in recent-onset type 2 diabetes, rendering monitoring of vitamin B12 and folate dispensable, at least during the first 6 months after diagnosis or initiation of metformin.

Physical inactivity promotes insulin resistance and increases the risk of diabetes and cardiovascular disease. Clustering based on simple clinical measures has been introduced for identifying diabetes subgroups with different risk of complications. However, little is known about physical fitness and cardiovascular risk factors in these clusters. We hypothesized that the insulin resistant diabetes (SIRD) cluster would associate with lower physical fitness and increased cardiovascular risk factors. Cycling spiroerogometry, physical activity questionnaire (Baecke index) and cardiovascular risk scores (Framingham Risk Scores (FRS) and triglycerides to high-density lipoproteins (TG:HDL) ratio) were analyzed in 746 participants with newly diagnosed diabetes of the German Diabetes Study (GDS). SIRD showed lower VO2max compared to the severe autoimmune diabetes (SAID), moderate age-related (MARD) and moderate obesity-related (MOD) clusters (all p In conclusion, SIRD and MARD showed lowest physical fitness and SIRD was least physically active and has the highest risk scores for diabetes-related cardiovascular diseases. Disclosure N. Saatmann: None. O. P. Zaharia: None. K. Strassburger: None. D. Pesta: None. V. Burkart: None. J. Szendroedi: None. M. Roden: Advisory Panel; Self; Allergan plc, Bristol-Myers Squibb Company, Novo Nordisk A/S, Research Support; Self; Boehringer Ingelheim International GmbH, Danone Nutricia, Sanofi-Aventis Deutschland GmbH.

Summary Background Cluster analyses have proposed different diabetes phenotypes using age, BMI, glycaemia, homoeostasis model estimates, and islet autoantibodies. We tested whether comprehensive phenotyping validates and further characterises these clusters at diagnosis and whether relevant diabetes-related complications differ among these clusters, during 5-years of follow-up. Methods Patients with newly diagnosed type 1 or type 2 diabetes in the German Diabetes Study underwent comprehensive phenotyping and assessment of laboratory variables. Insulin sensitivity was assessed using hyperinsulinaemic-euglycaemic clamps, hepatocellular lipid content using magnetic resonance spectroscopy, hepatic fibrosis using non-invasive scores, and peripheral and autonomic neuropathy using functional and clinical criteria. Patients were reassessed after 5 years. The German Diabetes Study is registered with ClinicalTrials.gov , number NCT01055093 , and is ongoing. Findings 1105 patients were classified at baseline into five clusters, with 386 (35%) assigned to mild age-related diabetes (MARD), 323 (29%) to mild obesity-related diabetes (MOD), 247 (22%) to severe autoimmune diabetes (SAID), 121 (11%) to severe insulin-resistant diabetes (SIRD), and 28 (3%) to severe insulin-deficient diabetes (SIDD). At 5-year follow-up, 367 patients were reassessed, 128 (35%) with MARD, 106 (29%) with MOD, 88 (24%) with SAID, 35 (10%) with SIRD, and ten (3%) with SIDD. Whole-body insulin sensitivity was lowest in patients with SIRD at baseline (mean 4·3 mg/kg per min [SD 2·0]) compared with those with SAID (8·4 mg/kg per min [3·2]; p Interpretation Cluster analysis can characterise cohorts with different degrees of whole-body and adipose-tissue insulin resistance. Specific diabetes clusters show different prevalence of diabetes complications at early stages of non-alcoholic fatty liver disease and diabetic neuropathy. These findings could help improve targeted prevention and treatment and enable precision medicine for diabetes and its comorbidities. Funding German Diabetes Center, German Federal Ministry of Health, Ministry of Culture and Science of the state of North Rhine-Westphalia, German Federal Ministry of Education and Research, German Diabetes Association, German Center for Diabetes Research, Research Network SFB 1116 of the German Research Foundation, and Schmutzler Stiftung.

ZusammenfassungDer Versuch einer neuen Diabetesklassifikation, welche neben den klassischen Merkmalen auch den Krankheitsverlauf und das Risiko für die Entwicklung von Folgeerkrankungen miteinbezieht, ermöglicht möglicherweise eine differenzierte Einteilung der Erkrankung. Dies könnte dazu beitragen, Behandlungen zu individualisieren und Personen mit einem erhöhten Risiko für Komplikationen bereits bei Beginn der Diagnose zu identifizieren, hin zu einer stratifizierten, zielgerichteten Therapie. Inwieweit sich die Ergebnisse hinsichtlich der 5 Diabetestypen auf andere Populationen übertragen lassen, bleibt jedoch zu überprüfen.

Diabetes ist eine heterogene Erkrankung mit einer Vielzahl unterschiedlicher metabolischer Merkmale, welche einen unverzichtbaren prognostischen Wert fur den Krankheitsverlauf haben konnen. Diese Erkenntnis lasst die traditionelle Taxonomie des Typ-1- und Typ-2-Diabetes hinterfragen und ermoglicht neue Ansatze, um Betroffene uber spezifische metabolische Merkmale Subphanotypen der Erkrankung zuzuordnen. Unser Ziel ist es, die Relevanz von Subphanotypen des Diabetes in Verbindung mit unterschiedlichen Risikoprofilen fur den Krankheitsverlauf und die zielgerichtete Behandlung vorzustellen. Innovative Methoden werden eingesetzt, um Menschen mit Typ-1- und Typ-2-Diabetes in Subgruppen zu kategorisieren sowie Unterschiede der diabetesbedingten Komplikationen und optimale therapeutische Ansatze zu identifizieren. Die mogliche klinische Relevanz neuer Diabetesuntergruppen wird mit Blick auf neue Studien beleuchtet. Patienten mit Typ-1- und Typ-2-Diabetes konnen, basierend auf anthropometrischen und metabolischen Merkmalen, in Untergruppen klassifiziert werden, wobei das Alter bei Diagnosestellung, der Grad der Fettleibigkeit, die Kontrolle des Blutglukosespiegels, die Insulinsensitivitat und die Betazellfunktion im Vordergrund stehen. Neue Daten lassen vermuten, dass Patienten aus verschiedenen Untergruppen besondere Risikoprofile fur diabetesassoziierte Komplikationen aufweisen konnten. Patienten mit Diabetes zeigen ein breites Spektrum an metabolischen Merkmalen, die eine Klassifikation in Subphanotypen erlauben. Die Relevanz einer Neuklassifizierung des Diabetes sowie der Pravention diabetesbedingter Komplikationen ist noch nicht hinreichend geklart, sodass weitere Untersuchungen notwendig sind.

Context While inflammation has been associated with kidney function in long-standing diabetes, its possible association in newly diagnosed diabetes is unknown. Objective To investigate cross-sectional and prospective associations between biomarkers of inflammation and kidney function in recent-onset diabetes. Methods The study included individuals with type 1 and type 2 diabetes with known diabetes duration of Results The cross-sectional analysis included 165 individuals with type 1 diabetes and 291 with type 2 diabetes. Baseline eGFR was higher in type 1 compared with type 2 diabetes (102 ± 15 vs 90 ± 16 mL/min/1.73 m2; P Conclusion Several biomarkers of inflammation associate with lower baseline eGFR in recent-onset type 1 and type 2 diabetes, but do not associate with kidney function loss during the first 5 years after the diagnosis of diabetes.

Non-alcoholic fatty liver disease (NAFLD) is associated with abnormal mitochondrial capacity. While oxidative capacity can be increased in steatosis, hepatic ATP decreases in long-standing diabetes. However, longitudinal studies on diabetes-related NAFLD and its relationship to hepatic energy metabolism are lacking.This prospective study comprised volunteers with type 1 (T1DM, n = 30) and type 2 (T2DM, n = 37) diabetes. At diagnosis and 5 years later, we usedAt diagnosis, individuals with T2DM had higher HCL and adipose tissue volumes, but lower whole-body insulin sensitivity than those with T1DM, despite comparable glycemic control. NAFLD was present in 38% of individuals with T2DM and 7% with T1DM. After 5 years, visceral adipose tissue only increased in individuals with T2DM, while HCL almost doubled in this group (p0.001), resulting in a 70% prevalence of NAFLD (independent of diabetes treatment). Changes in HCL correlated with adipose tissue volume and insulin resistance (r = 0.50 and r = 0.44, both p0.05). Pi decreased by 17% and 10% in individuals with T2DM and T1DM (p0.05), respectively. In T1DM, HCL did not change, whereas γATP decreased by 10% and correlated negatively with glycated hemoglobin (r = -0.56, p0.05).The rapid increase in HCL during the early course of T2DM likely results from enlarging adipose tissue volume and insulin resistance in response to impaired hepatic mitochondrial adaptation. The decrease of phosphorus metabolites in T1DM may be due to pharmacological insulin supply.Previous studies suggested that the impaired function of mitochondria, the power plants of cells, can promote fatty liver and type 2 diabetes mellitus. This study now shows that during the first 5 years of type 2 diabetes the increase in body fat content rapidly leads to a doubling of liver fat content, whereas the energy metabolism of the patients' livers progressively declines. These data suggest that fat tissue mass and liver mitochondria have an important role in the development of fatty liver disease in humans with diabetes.NCT01055093.

The G-allele in the single-nucleotide polymorphism (SNP) rs738409 in the patatin-like phospholipase domain containing 3 (PNPLA3) gene associates with increased risk of nonalcoholic fatty liver disease (NAFLD) and its progression. As the recently-described severe insulin resistant diabetes (SIRD) cluster specifically relates to NAFLD, the present study examined whether this SNP differently associates with insulin sensitivity and hepatic lipid content (HCL) in clusters of new-onset diabetes patients. Participants (n=917) of the prospective German Diabetes Study underwent genotyping, hyperinsulinemic-euglycemic clamps and magnetic resonance spectroscopy. SIRD had the lowest whole-body insulin sensitivity compared to severe insulin deficient (SIDD), moderate obesity-related (MOD), moderate age-related (MARD) and severe autoimmune diabetes clusters (SAID; all p In conclusion, SIRD patients are more frequently carriers of the G-allele which is associated with adipose-tissue insulin resistance and lipolysis. Together, these alterations may mutually accelerate NAFLD and progression of SIRD. Disclosure O.P. Zaharia: None. K. Strassburger: None. B. Knebel: None. Y. Kupriyanova: None. Y. Karusheva: None. K. Bodis: None. M. Wolkersdorfer: None. D.F. Markgraf: None. V. Burkart: None. J. Hwang: None. J. Kotzka: None. H. Al-Hasani: Consultant; Self; Bayer AG. J. Szendroedi: None. M. Roden: Advisory Panel; Self; Servier. Board Member; Self; Poxel SA. Consultant; Self; Eli Lilly and Company, Gilead Sciences, Inc., ProSciento, TARGET PharmaSolutions. Research Support; Self; Boehringer Ingelheim International GmbH, Novartis Pharma K.K., Sanofi US. Speaker’s Bureau; Self; Novo Nordisk A/S. Funding German Federal Ministry of Health; Ministry of Culture and Science of North Rhine-Westphalia; German Federal Ministry of Education and Research; German Center for Diabetes Research

Emerging evidence suggests that obesity and insulin resistance play a role in the development of diabetic cardiac autonomic neuropathy (CAN) characterized by reduced heart rate variability (HRV). In this context we assessed the relationship of 127 biomarkers of lipid metabolism (11 acylcarnitines, 39 free fatty acids, 12 sphingomyelins, 56 phosphatidylcholines, and 9 lysophosphatidylcholines) in plasma using mass spectrometry with HRV indices in individuals with recent-onset type 1 (T1D) or type 2 diabetes (T2D) from the baseline cohort (known diabetes duration (DD) ≤1 year) of the German Diabetes Study (T1D/T2D [mean±SD]: n=126/243; age: 34.5±12.9/53.4±11.0 years; BMI: 24.7±4.3/31.7±6.0 kg/m²; DD: 211±93/198±90 days; HbA1c: 6.8±1.4/6.5±0.9 %). Time domain and frequency domain HRV indices were derived from NN intervals recorded during a 3 h hyperinsulinemic-euglycemic clamp. After adjustment for age, sex, and BMI as well as Bonferroni correction including seven HRV parameters and the number of metabolites of the corresponding lipid class, higher levels of three free fatty acids (myristic acid: β=-0.14, p=0.049; palmitic acid: β=-0.19, p=0.007; palmitoleic acid: β=-0.15, p=0.048), eight phosphatidylcholines (e.g., phosphatidylcholine diacyl (PC aa) C32:0: β=-0.28, p In conclusion, the link between higher plasma levels of specific lipid metabolites and early cardiac autonomic dysfunction in recent-onset type 2 diabetes suggests that plasma lipid panels could be useful to improve the prediction of the development or progression of CAN. Disclosure G.J. Bönhof: None. A. Strom: None. K. Strassburger: None. B. Knebel: None. J. Kotzka: None. H. Al-Hasani: Consultant; Self; Bayer AG. J. Szendroedi: None. O.P. Zaharia: None. Y. Karusheva: None. M. Roden: Advisory Panel; Self; Servier. Board Member; Self; Poxel SA. Consultant; Self; Eli Lilly and Company, Gilead Sciences, Inc., ProSciento, TARGET PharmaSolutions. Research Support; Self; Boehringer Ingelheim International GmbH, Novartis Pharma K.K., Sanofi US. Speaker’s Bureau; Self; Novo Nordisk A/S. D. Ziegler: None.

Background: The development of anti-inflammatory therapies for renal function loss in patients with diabetes requires identification of specific biomarkers which might differ by diabetes type. This study aimed to investigate associations between a novel panel of biomarkers of inflammation and estimated glomerular filtration rate (eGFR) in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D). Methods: This study was based on 145 participants with T1D (mean age 33.8 years, 60.7% males) and 250 participants with T2D (mean age 55.3 years, 66.4% males) from the observational prospective German Diabetes Study (GDS), which includes adults with a diabetes duration Results: Baseline eGFR was higher in T1D compared to T2D (mean (SD) 101.8 (15.3) vs. 89.3 (15.6) mL/min/1.73 m2; P Conclusion: We identified novel inflammatory biomarkers, independently associated with eGFR in adults with recently diagnosed T1D and T2D. As a next step, these biomarkers shall be evaluated as potential predictors of incident and progressive diabetic nephropathy. Disclosure H. Maalmi: None. C. Herder: Research Support; Self; Sanofi-Aventis. K. Strassburger: None. S. Urner: None. K. Jandeleit-Dahm: None. O.P. Zaharia: None. Y. Karusheva: None. K. Bodis: None. W. Rathmann: Advisory Panel; Self; AstraZeneca. Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc. Research Support; Self; Novo Nordisk Inc. Speaker’s Bureau; Self; Eli Lilly and Company, Novo Nordisk Inc. D.F. Markgraf: None. V. Burkart: None. J. Szendroedi: None. M. Roden: Advisory Panel; Self; Servier. Board Member; Self; Poxel SA. Consultant; Self; Eli Lilly and Company, Gilead Sciences, Inc., ProSciento, TARGET PharmaSolutions. Research Support; Self; Boehringer Ingelheim International GmbH, Novartis Pharma K.K., Sanofi US. Speaker’s Bureau; Self; Novo Nordisk A/S.

Understanding the role of insulin resistance (IR) in type 1 diabetes (T1D) may help to improve its treatment. Postprandial insulin secretion stimulates amino acid (AA) uptake and protein synthesis. Consequently, impaired insulin-mediated AA clearance could raise postprandial branched-chain AA (BCAA: valine (VAL), leucine (LEU), isoleucine (ILE)) levels and in turn contribute to BCAA-induced IR. We hypothesized that BCAA levels associate negatively with postprandial ß-cell function already in recent-onset T1D. In a cross-sectional study, volunteers of the German Diabetes-Study with T1D (n=10, diabetes duration In conclusion, persons with even well-controlled recent-onset T1D exhibit elevated postprandial BCAA concentrations, likely due to impaired ß-cell function, which contribute to postprandial IR. Disclosure Y. Karusheva: None. K. Strassburger: None. D.F. Markgraf: None. O.P. Zaharia: None. K. Bodis: None. A. Tura: None. G. Pacini: None. V. Burkart: None. J. Szendroedi: None. M. Roden: Advisory Panel; Self; Servier. Board Member; Self; Poxel SA. Consultant; Self; Eli Lilly and Company, Gilead Sciences, Inc., ProSciento, TARGET PharmaSolutions. Research Support; Self; Boehringer Ingelheim International GmbH, Novartis Pharma K.K., Sanofi US. Speaker’s Bureau; Self; Novo Nordisk A/S.

Recent controlled trials have demonstrated that type 2 diabetes (T2D) remission is possible with significant weight loss in people with newly diagnosed T2D. However, current programs focus on face-to-face education and behavior change, which limit scalability and inclusivity. We examined the effect of a digital education and behavior change program targeting a very low-calorie diet on metabolic control, insulin sensitivity as well as liver fat and fibrosis. Patients with diet/metformin controlled T2D (n=8, 50% male, 52±12 years, BMI 33±4 kg/m2) were remotely supported to undertake a very low-calorie (800 kcal/day) diet using digital education, behavior change and tracking with one-to-one tele-coaching for 12 weeks. Insulin sensitivity index was calculated using a mixed-meal tolerance test, liver fat content by 1H-magnetic resonance spectroscopy and liver fibrosis by elastography. After 12 weeks, participants had reduced their body weight by 9.0±3.6 kg and HbA1c (6.6±1.2% vs. 6.0±0.6%, p=0.05) and improved insulin sensitivity (319±61 vs. 355±49 ml.min-1.m-2, p In conclusion, this feasibility study demonstrates that digital education, behavior change and tracking can reduce body weight which conveys significant improvements in metabolism and liver health. These preliminary data suggest that care teams should explore how digital education and behavior change can enhance existing care for people with newly diagnosed T2D with a view to achieving remission. Disclosure D. Pesta: None. O.P. Zaharia: None. Y. Kupriyanova: None. J. Hwang: None. D.F. Markgraf: Research Support; Self; Sanofi. M. Trenell: Other Relationship; Self; Changing Health Ltd. J. Szendroedi: None. M. Roden: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Poxel SA, Servier. Board Member; Self; Eli Lilly and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi. Speaker's Bureau; Self; Novo Nordisk Inc. Funding EIT Health; German Ministry of Culture and Science of the State of North Rhine-Westphalia; German Federal Ministry of Health; German Federal Ministry of Education and Research

Cluster analysis using age, BMI, glycemia and homeostasis model estimates (HOMA-IR, -B) revealed distinct risk profiles for progression of diabetic nephropathy in large cohorts, but its relevance for other diabetes-related comorbidities remains unclear. We aimed to (i) examine whether intensified phenotyping would confirm the results of this cluster analysis and (ii) test the hypothesis that liver fat content (HCL), as marker of nonalcoholic fatty liver disease (NAFLD), differs among clusters at diabetes diagnosis and during follow-up. Thus, this cluster analysis was applied to recent-onset patients with non-autoimmune diabetes of the German Diabetes Study. This identified 286 mild age-related (MARD, 44%), 268 mild obesity-related (MOD, 42%), 66 severe insulin-resistant (SIRD, 10%) and 27 severe insulin-deficient (SIDD, 4%) diabetes patients. Furthermore, whole-body insulin sensitivity was assessed by hyperinsulinemic-euglycemic clamps, HCL by magnetic resonance spectroscopy and hepatic fibrosis by a noninvasive score (NAFLD-FS). Congruently, whole-body insulin sensitivity was lowest in SIRD compared to MOD, SIDD and MARD (4.3±2.0 vs. 5.6±2.4, 6.5±2.6, 7.6±2.8 mg*kg-¹*min-¹, all p0.6) was highest in SIRD (21%) compared to SIDD (0%), MOD (16%) and MARD (11%). In conclusion, patients of the SIRD cluster exhibit higher prevalence of steatosis at diagnosis and increased risk of NAFLD progression over 5 years. Disclosure O.P. Zaharia: None. K. Strassburger: None. Y. Kupriyanova: None. Y. Karusheva: None. S. Antoniou: None. K. Bodis: None. O. Asplund: Research Support; Self; Eli Lilly and Company. V. Burkart: None. K. Muessig: None. J. Hwang: None. O. Kuss: None. L. Groop: None. E. Ahlqvist: None. J. Szendroedi: None. M. Roden: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Poxel SA, Servier. Board Member; Self; Eli Lilly and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi. Speaker's Bureau; Self; Novo Nordisk Inc. Funding German Ministry of Culture and Science of the State of North Rhine-Westphalia; German Federal Ministry of Health; German Federal Ministry of Education and Research

Knockdown of the gene encoding transmembrane 6 superfamily member 2 protein (TM6SF2) in mice increases hepatocellular lipid content (HCL) and decreases very low-density lipoprotein secretion. Humans with TM6SF2 mutations are at higher risk of nonalcoholic fatty liver disease, but lower risk of cardiovascular disease. The relevance of TM6SF2 mutations for HCL and insulin sensitivity in type 2 diabetes is less clear. This study aimed at elucidating the relevance of the E167K (SNP rs58542926) mutation in the gene encoding TM6SF2 for HCL, hepatic insulin sensitivity and whole-body insulin sensitivity in type 2 diabetes. We compared male patients with recently diagnosed type 2 diabetes with (n=16) or without (n=16) E167K mutation, matched for age and BMI (50±1 vs. 48±3 years; 32±1 vs. 32±2 kg/m2) from the German Diabetes Study. Whole-body and hepatic insulin sensitivity were assessed by Botnia-clamp tests with [6,6-2H2]glucose, HCL by 1H magnetic resonance spectroscopy and hepatic fibrosis by the fibrosis-4 index (FIB4). Patients with and without TM6SF2 mutation had comparable levels of HbA1c (6.2±0.2 vs. 5.9±0.1%) and serum triglycerides (136±14 vs. 149±14 mg/dl). Carriers of TM6SF2 mutation had higher HCL (9.0±1.9 vs. 4.6±0.4%, p In conclusion, the E167K mutation of the TM6SF2 gene dissociates liver steatosis from whole-body insulin sensitivity. This may result from favored trapping of triglycerides within the liver, which would in turn protect peripheral tissues from insulin resistance induced by liver-derived lipids. Disclosure K. Bodis: None. J. Szendroedi: None. J.M. Ahlers: None. Y. Karusheva: None. O.P. Zaharia: None. S. Antoniou: None. B. Knebel: None. Y. Kupriyanova: None. J. Hwang: None. V. Burkart: None. K. Muessig: None. H. Al-Hasani: None. M. Roden: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Poxel SA, Servier. Board Member; Self; Eli Lilly and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi. Speaker's Bureau; Self; Novo Nordisk Inc. D.F. Markgraf: Research Support; Self; Sanofi.

We previously demonstrated an early parallel involvement of small and large fibers in recent-onset type 2 diabetes. Here we hypothesized that this pattern may also be pertinent to type 1 diabetes (T1D). Therefore, motor and sensory nerve conduction velocity (MNCV, SNCV), vibration perception thresholds (VPT), thermal detection thresholds (TDT), intraepidermal nerve fiber density (IENFD), and heart rate variability (HRV) were assessed in participants with T1D from the German Diabetes Study (GDS) at baseline (diabetes duration ≤1 year) and in glucose-tolerant controls: CON/T1D-B: n=96/360; age [median (1st; 3rd quartile)]: 34.5 (26.0; 46.8)/34.6 (26.5; 45.3) years; male: 72/58%; BMI: 25.0 (22.9; 28.3)/24.0 (22.0 (22.0; 27.0) kg/m²; diabetes duration: -/173 (114; 173) days; HbA1c: 5.1 (5.0; 5.3)/6.4 (5.9; 7.2)%; M-value (hyperinsulinemic-euglycemic clamp): 11.6 (9.1; 13.6)/8.2 (6.5; 10.4) mg*kg-1*min-1. T1D-B showed lower peroneal MNCV ([mean±SEM]: 45.8±0.2 vs. 47.0±0.3 m/s), median MNCV (55.1±0.2 vs. 56.0±0.7 m/s), and IENFD (10.0±0.5 vs. 11.2±0.5 fibers/mm) than CON (P In conclusion, within the first 5-6 years of type 1 diabetes despite good glycemic control, the deterioration in median and ulnar MNCV was related to worsening HbA1c levels, while cardiac autonomic dysfunction progressed in relation to increasing insulin resistance. Disclosure G.J. Bönhof: None. A. Strom: None. O.P. Zaharia: None. J. Szendroedi: None. K. Muessig: None. M. Roden: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Poxel SA, Servier. Board Member; Self; Eli Lilly and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi. Speaker's Bureau; Self; Novo Nordisk Inc. D. Ziegler: Advisory Panel; Self; Allergan, TrigoCare. Consultant; Self; Mitsubishi Tanabe Pharma Corporation, Mylan, Novartis Pharmaceuticals Corporation, Wörwag. Speaker's Bureau; Self; Berlin-Chemie AG. Funding German Ministry of Culture and Science of the State of North Rhine-Westphalia; German Federal Ministry of Health; German Federal Ministry of Education and Research

Increased levels of branched-chain amino acids (BCAA) associate with insulin resistance and type 2 diabetes (T2D), which could result from dietary habits, gut microbiome composition or direct effects on cellular energy metabolism. We hypothesized that reduced dietary intake of BCAA improves whole body insulin sensitivity and hyperinsulinemia in patients with T2D. In a randomized, placebo-controlled, double-blinded, cross over trial, 12 metabolically well-controlled patients with T2D received an isocaloric diet (protein: 1 g/kg body weight), containing either the complete amino acid set (BCAA+) or a 60% reduction in BCAA (BCAA-) for 1 week each. Effects on glucose homeostasis were assessed from mixed meal tolerance tests (MMT) and hyperinsulinemic-euglycemic clamps (HEC, M-value), and pathways affecting insulin signaling were analyzed in muscle and adipose tissue biopsies. Microbiome composition was assessed by next generation sequencing. After the BCAA- diet, MMT-derived insulin secretion was 28% lower compared to the BCAA+ diet (p In conclusion, a short-term dietary reduction of BCAA decreases insulin secretion, increases postprandial insulin sensitivity, which may relate to adipocyte mitochondrial efficiency and altered gut microbiome composition in patients with T2D. Disclosure Y. Karusheva: None. T. van Gemert: None. K. Strassburger: None. D.F. Markgraf: Research Support; Self; Sanofi. T. Jelenik: None. L. Mastrototaro: None. M. Simon: None. O.P. Zaharia: None. K. Bodis: None. F. Bärenz: None. D. Schmoll: Employee; Self; Sanofi-Aventis Deutschland GmbH. V. Burkart: None. K. Muessig: None. J. Szendroedi: None. M. Roden: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Poxel SA, Servier. Board Member; Self; Eli Lilly and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi. Speaker's Bureau; Self; Novo Nordisk Inc. Funding Sanofi Aventis Deutschland GmbH

Hepatic insulin metabolism in patients with newly diagnosed diabetes is not yet understood. Insulin clearance seems to be decreased in patients with obesity, visceral adiposity and type 2 diabetes (T2D), but data compared to glucose tolerant humans have been inconclusive. To this end, persons with type 1 diabetes (T1D; n=124) or type 2 diabetes (T2D; n=401) and glucose-tolerant humans (CON; n=245) underwent hyperinsulinemic-euglycemic clamps to assess insulin sensitivity (IS) and whole-body insulin clearance (ICWBIC, ml x kg-1 x min-1). Hepatic insulin clearance was also calculated from the ratio of the areas under the curve of plasma C-peptide and insulin (0-60 min) during intravenous glucose-tolerance test (IVGTT, 0-60 min) and mixed meal tolerance test (MMTT, 0-180 min). Hepatocellular lipid content (HCL) was measured by 1H-magnetic resonance spectroscopy. Analyses were adjusted for age, sex and BMI. In T1D, ICIVGTT (1.71±1.1 vs. 2.3±0.3 and 3.2±0.3, all p In conclusion, glycemic control likely impairs insulin clearance particularly in T1D patients, whereas steatosis affects insulin clearance in T2D and in glucose tolerant humans. Disclosure S. Antoniou: None. O.P. Zaharia: None. K. Strassburger: None. Y. Karusheva: None. K. Bodis: None. Y. Kupriyanova: None. V. Burkart: None. K. Muessig: None. A. Gastaldelli: Consultant; Self; A. Menarini Diagnostics, Eli Lilly and Company, Genentech, Inc., Gilead Sciences, Inc., Inventiva Pharma. M. Roden: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Poxel SA, Servier. Board Member; Self; Eli Lilly and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi. Speaker's Bureau; Self; Novo Nordisk Inc. J. Szendroedi: None.

Insulin levels might affect the integrity of musculoskeletal structures. We hypothesized that in type 2 diabetes patients (T2D) with arthritis musculoskeletal impairment is associated with insulin secretion. This analysis of the German Diabetes Study comprised T2D with (T2D+A (n[m/f]=12[4/8], age 63±9 years, BMI 34.8±7.2 kg/m2) or without arthritis (T2D-A: 22[12/10], 59±13 years, 32.8±6.5 kg/m2) and healthy controls (CON: 18[10/8], 42±16 years, 25.3±4.1 kg/m2). Group comparison analyses were adjusted for age, sex and BMI. T2D duration was In conclusion, musculoskeletal impairment is associated with decreased beta-cell function in T2D patients suffering from arthritis, possibly mediated by chronic hyperglycemia. Disclosure O.P. Zaharia: None. D. Pesta: None. P. Bobrov: None. Y. Kupriyanova: None. K. Bódis: None. V. Burkart: None. J. Hwang: None. K. Müssig: None. M. Roden: Speaker's Bureau; Self; Boehringer Ingelheim GmbH. Research Support; Self; Boehringer Ingelheim GmbH. Consultant; Self; Poxel SA. Research Support; Self; Danone Nutricia Early Life Nutrition, GlaxoSmithKline plc., Nutricia Advanced Medical Nutrition, Sanofi. J. Szendroedi: None.

Regular physical activity is a key element of lifestyle recommendations for patients with type 2 diabetes (T2D), yet adherence to physical activity (PA) and its association with insulin sensitivity in newly diagnosed T2D is less known. This study assessed PA behavior during the first year after diagnosis and 5 years later by the validated Baecke questionnaire, which comprises sports-, leisure- and work-related activities, in recent-onset T2D (n=215) and healthy individuals (CON; n=84), adjusted for age, sex and body mass index. Insulin sensitivity was assessed from hyperinsulinemic-euglycemic clamps and maximal oxygen consumption (VO2max) from spiroergometry at baseline and after 5 years. Patients with T2D had a lower total Baecke (8.1±1.4) and sports index (2.7±0.8) than CON (8.8±1.4; 3.2±0.8; all p In conclusion, lower PA participation contributes to worsening of body weight, physical fitness and insulin resistance in T2D, even during the initial course of disease. Disclosure D. Pesta: None. P. Bobrov: None. O.P. Zaharia: None. K. Bódis: None. Y. Karusheva: None. D.F. Markgraf: None. V. Burkart: None. K. Müssig: None. K. Strassburger: None. J. Szendroedi: None. M. Roden: Speaker's Bureau; Self; Boehringer Ingelheim GmbH. Research Support; Self; Boehringer Ingelheim GmbH. Consultant; Self; Poxel SA. Research Support; Self; Danone Nutricia Early Life Nutrition, GlaxoSmithKline plc., Nutricia Advanced Medical Nutrition, Sanofi.

High intramyocellular lipid (IMCL) content associates negatively with insulin sensitivity (IS) in insulin resistant, but not in endurance-trained humans. It has been hypothesized that different cellular distribution of bioactive lipids such as diacylglycerols (DAG) and ceramides (CER) could interfere with insulin action and underlie this “athlete’s paradox.” We examined endurance-trained athletes (ATH; n=9) and sedentary individuals (SED; n=12) with comparable total IMCL, as measured by 1H-magnetic resonance spectroscopy, who underwent spiroergometry and hyperinsulinemic-euglycemic clamps to assess maximal oxidative capacity and IS, respectively. In skeletal muscle biopsies, translocation of protein kinase C (PKC) θ and ε were determined by Western blotting and concentrations of DAG and CER were measured using targeted LC-tandem mass spectrometry upon separating fractions of cellular membranes, lipid droplets and cytosol by ultracentrifugation. Maximal oxidative capacity and IS were 46% and 47% higher in ATH than in SED (both p In conclusion, higher IS in endurance-trained ATH can be explained by lower muscle PKCθ activation, which may be due to differences in the stereoselectivity and/or subcompartmentation of cellular DAG between ATH and insulin resistant SED. Disclosure D. Pesta: None. E. Anadol-Schmitz: None. S. Gancheva: None. D.F. Markgraf: None. O.P. Zaharia: None. H. Katsuyama: None. Y. Kupriyanova: None. J. Hwang: None. D. Zhang: None. G.I. Shulman: Advisory Panel; Self; AstraZeneca, Janssen Research & Development, Merck & Co., Inc., Novo Nordisk Inc.. Research Support; Self; Gilead Sciences, Inc. M. Roden: Speaker's Bureau; Self; Boehringer Ingelheim GmbH. Research Support; Self; Boehringer Ingelheim GmbH. Consultant; Self; Poxel SA. Research Support; Self; Danone Nutricia Early Life Nutrition, GlaxoSmithKline plc., Nutricia Advanced Medical Nutrition, Sanofi.

Mitochondrial gene expression in visceral (VAT) and lipogenesis in abdominal subcutaneous adipose tissue (SAT) are lower in insulin resistance (IR). Humans with hormone sensitive lipase (HSL) gene mutations are prone to type 2 diabetes (T2D). SAT is divided into deep (DSAT) and superficial SAT (SSAT). SSAT was speculated to be protective in T2D, but gender specificity is unknown. We hypothesized lower mitochondrial efficiency as well as lower markers of lipogenesis and lipolysis in SSAT only in male T2D patients vs. glucose-tolerant humans (CON), which may characterize dysfunctional SSAT. In 20 T2D and 20 CON matched for sex, BMI and age (female/male: 6/14 per group; 32±1 vs. 31±1 kg/m2, 52±2 vs. 54±2 years), we assessed M-values by euglycemic-hyperinsulinemic clamps, liver fat content (HCL) and VAT by MRS. In biopsies of SSAT, mitochondrial oxidative capacity was measured by respirometry, lipogenesis assessed from stearoyl-CoA desaturase (SCD) mRNA, lipolysis from adipocyte triglyceride lipase (ATGL) and HSL mRNA by RTqPCR. The insulin resistant T2D had 63% and 22% higher HCL (p In conclusion, lower lipogenesis and lipolysis in SSAT of male T2D patients may lead to inadequate lipid storage in SSAT, thereby promoting ectopic fat storage as HCL and VAT. Disclosure K. Bódis: None. J. Lundbom: None. T. Jelenik: None. D.F. Markgraf: None. A. Strom: None. O.P. Zaharia: None. Y. Karusheva: None. V. Burkart: None. K. Müssig: None. Y. Kupriyanova: None. M. Ouni: None. J. Hwang: None. D. Ziegler: None. A. Schuermann: None. M. Roden: Speaker's Bureau; Self; Boehringer Ingelheim GmbH. Research Support; Self; Boehringer Ingelheim GmbH. Consultant; Self; Poxel SA. Research Support; Self; Danone Nutricia Early Life Nutrition, GlaxoSmithKline plc., Nutricia Advanced Medical Nutrition, Sanofi. J. Szendroedi: None.

Context and Objective Among patients diagnosed with type 2 diabetes, autoimmune diabetes often remains undetected. Metabolic features of these patients are insufficiently characterized at present. Design, Setting, and Patients This study compared age- and sex-matched adult (aged 41 to 62 years) humans with recent-onset diabetes: patients positive for antibodies against glutamic acid decarboxylase (GAD) and/or cytoplasmic islet-cell antigen with an insulin-free period of >6 months [antibody positive/insulin negative (ab+/ins−); previously termed latent autoimmune diabetes of adults], type 1 diabetes [antibody positive/insulin positive (ab+/ins+)], and type 2 diabetes [antibody negative/insulin negative (ab−/ins−)], as well as glucose-tolerant humans (controls) of the German Diabetes Study (n = 41/group). β-Cell function was assessed from glucagon tests and intravenous glucose tolerance tests (IVGTTs), and insulin sensitivity was determined from hyperinsulinemic-euglycemic clamps. Results Of the ab+/ins− patients, 33 (81%) were initially diagnosed as having type 2 diabetes. In ab+/ins−, body mass index (BMI) was higher than in ab+/ins+ (27.8 ± 5.3 kg/m2 vs 25.0 ± 3.5 kg/m2, P < 0.05), lower than in ab−/ins− (31.9 ± 5.8 kg/m2, P < 0.05), and similar to controls (29.4 ± 6.6 kg/m2). In ab+/ins−, GAD antibody titers correlated negatively with BMI (r = −0.40, P < 0.05) and with C-peptide secretion in glucagon stimulation tests (r = −0.33, P < 0.05). β-Cell function from IVGTT was 228% higher in ab+/ins− than in ab+/ins+ but 35% lower than in ab−/ins− and 61% lower than in controls (all P < 0.05). Insulin sensitivity in ab+/ins− was comparable to ab+/ins+ and controls but 41% higher than in ab−/ins− (P < 0.05) after adjustment for BMI and fasting blood glucose or hemoglobin A1c. Conclusion Even shortly after diagnosis, ab+/ins− patients feature partly preserved β-cell function and chronic hyperglycemia, which possibly contributes to the observed impairment of whole-body insulin sensitivity.