TARGET PharmaSolutions Research Articles

732-P: Biomarkers of Inflammation and Long-Term Microvasculature Integrity in Weight Loss–Induced Prediabetes Remission

The Diabetes Prevention Program Outcomes Study demonstrated that even temporary resolution of prediabetes (remission) to normal glucose regulation (NGR) prevents development of T2D and vascular complications. However, cellular mechanisms are unknown. We have previously shown in the Prediabetes Lifestyle Intervention Study, a German Center for Diabetes Research multicenter study (n = 1105), that lifestyle intervention (LI)-mediated weight loss-induced remission of prediabetes to NGR vs. non-remission is largely driven by improved insulin sensitivity. We hypothesized that these two groups differ by markers of chronic low-grade inflammation. Therefore, we analyzed 31 cytokines implicated in energy metabolism and T2D complications before and after LI in subjects losing ≥5% body weight (n = 113) to compare responders achieving NGR (R, n = 40) to non-responders not achieving NGR (NR, n = 73). Cytokines linked to insulin resistance and T2D such as TNF-α (p = 0.73), IFNγ (p = 0.45) and IL-6 (p = 0.34) did not differ between groups. However, responders showed a significantly stronger reduction of lymphotoxin α (LTα, -0.15 ± 0.29-fold in NR vs. -0.23 ± 0.32 in R, p = 0.02). VCAM (-0.04 ± 0.14 NR vs. -0.08 ±10.9 R, p = 0.02) and ICAM (-0.11 ±0.15 NR vs. -0.16 ± 0.14 R, p = 0.02), which are induced by LTα and have been implied in mediating cardiovascular complications, were also more strongly reduced in responders. To assess if this is linked with long-term microvasculature integrity, we applied optoacoustic mesoscopy up to 5 years after LI (n = 22). Total vessel and junction density and number of junction to endpoint branches (NJEB) were higher in responders at follow-up (NJEB: 154.9 ± 25.3 vs. 186.9 ± 16.1, p < 0.01). These data describe a distinct pattern of reduced low-grade inflammation characterizing remission of prediabetes to NGR. Although limited by low n, this pattern may help explain the positive effects of prediabetes remission on vascular complications. Disclosure A.Sandforth: None. J.Szendroedi: None. S.M.Meyhöfer: Speaker's Bureau; Novo Nordisk, AstraZeneca, Lilly, Amgen Inc., Boehringer-Ingelheim, Novartis. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. L.Fritsche: None. N.Stefan: Advisory Panel; Pfizer Inc., Research Support; Sanofi, Speaker's Bureau; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Lilly Diabetes, Novo Nordisk, Sanofi-Aventis Deutschland GmbH. 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. R.Jumpertz von schwartzenberg: Other Relationship; Sanofi, Amgen Inc., Lilly, Novo Nordisk. A.L.Birkenfeld: None. S.Katzenstein: None. J.Seissler: None. S.R.Bornstein: None. N.Perakakis: Advisory Panel; Bayer Inc., Other Relationship; Novo Nordisk, Novo Nordisk. S.Kabisch: Other Relationship; Berlin-Chemie AG, Sanofi, Lilly, Boehringer Ingelheim Inc., JuZo Akademie, Research Support; J. Rettenmaier / Söhne, Wilhelm-Doerenkamp Foundation, German Center of Diabetes Research. A.F.Pfeiffer: Advisory Panel; Abbott Diabetes, Speaker's Bureau; Novo Nordisk, Sanofi-Aventis Deutschland GmbH. H.Häring: None. 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.

1452-P: Type 1 Diabetes Subphenotypes—A Cluster Analysis

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.

302-OR: How Menstrual Cycle Impacts Brain Insulin Action—Results from Young Women

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

1325-P: Continuous Representation of Type 2 Diabetes Heterogeneity on a Tree-Like Graph Structure Stratifies Risk of Complications

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

728-P: Biomarkers of Low-Grade Inflammation in Novel Subtypes of Patients at Risk for Diabetes

In the Tübingen Family Study recently 6 subtypes of prediabetic metabolism were identified. Cluster 3, 5 and 6 have a moderate to high risk for T2D or its associated complications. Cluster 3 is characterized by low insulin secretion, cluster 5 by insulin resistance and high liver fat content. Individuals in cluster 6 have an elevated risk of nephropathy despite a delayed diabetes development. Low-grade inflammation has been implicated in the development of T2D and cardiorenal complications. We hypothesized that the subtypes differ in levels of inflammatory biomarkers. Thus, we measured 31 inflammatory biomarkers associated with metabolic disease. We used Bio-Plex® multiplex immunoassays in 145 individuals who were recruited in Tübingen from the Prediabetes Lifestyle Intervention Study (PLIS) - a multicenter study conducted in individuals with ADA-defined prediabetes. Cluster comparison was done using ANOVA models, raw unadjusted values are reported. We identified eight biomarkers which differed among diabetes-risk subtypes, namely MIP1a, MIP1b, IL18, Osteopontin (OPN), IFNy, TNFb, and soluble TNFa-Receptor (sTNF-R)- 1 and -2. High risk cluster 3, 5 and 6 had significantly elevated levels of several inflammatory biomarkers compared to low risk cluster 2 with the lowest levels of these biomarkers. Within the high-risk groups, cluster 5 had increased biomarker levels compared to cluster 3 (e.g., IL-18: cluster 5: 86.2 pg/ml ± 3.9 vs cluster 3: 66.8 pg/ml ± 4.8, p=0.018; OPN: 16.8 ng/ml ± 1.0 vs. 12.8 ng/ml ± 0.8, p = 0.022; MIP1a 2.2 pg/ml ± 0.1 vs. 1.6 pg/ml ± 0.1, p < 0.001). Cluster 6 showed lower levels of IFNy than cluster 3 (2.2pg/ml ± 0.3 vs 3.5pg/ml ± 0.2, P=0.019). Our data show that the novel T2D risk subtypes differ in inflammatory biomarkers. This suggests that a low-grade inflammation may be involved in the progression from prediabetes to T2D and complications. A more precise mechanistic understanding is needed in order to establish precise preventive strategies for different risk phenotypes. Disclosure S.Katzenstein: None. J.Szendroedi: None. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. L.Fritsche: None. N.Stefan: Advisory Panel; Pfizer Inc., Research Support; Sanofi, Speaker's Bureau; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Lilly Diabetes, Novo Nordisk, Sanofi-Aventis Deutschland GmbH. 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. A.L.Birkenfeld: None. R.Jumpertz von schwartzenberg: Other Relationship; Sanofi, Amgen Inc., Lilly, Novo Nordisk. A.Sandforth: None. V.Minelli faiao: None. J.Seissler: None. S.R.Bornstein: None. N.Perakakis: Advisory Panel; Bayer Inc., Other Relationship; Novo Nordisk, Novo Nordisk. A.Schürmann: None. S.Kabisch: Other Relationship; Berlin-Chemie AG, Sanofi, Lilly, Boehringer Ingelheim Inc., JuZo Akademie, Research Support; J. Rettenmaier / Söhne, Wilhelm-Doerenkamp Foundation, German Center of Diabetes Research. 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.

1566-P: The TM6SF2 rs58542926 Polymorphism Dissociates Hepatocellular Lipids from Insulin Resistance in Recent-Onset Type 2 Diabetes

Increased hepatocellular lipid content (HCL) is generally linked to insulin resistance, which contributes to greater risk of type 2 diabetes and cardiovascular complications. Conversely, a single-nucleotide polymorphism (TM6SF2EK; rs58542926) in the transmembrane 6 superfamily member 2 gene has been associated with nonalcoholic fatty liver disease (NAFLD), but lower cardiovascular risk. Thus, this case-control study tested the role of this polymorphism for tissue-specific insulin sensitivity during the early course of diabetes. Males with recent-onset type 2 diabetes with (TM6SF2EK: n=16) or without (TM6SF2EE: n=16) the heterozygous TM6SF2 polymorphism of similar age and BMI, underwent Botnia-clamps with [6,6-2H2]glucose to measure whole-body, hepatic and adipose tissue insulin sensitivity. HCL and liver fibrosis were assessed with 1H-magnetic resonance spectroscopy and non-invasive tests (FIB4, APRI, AST/ALT), respectively. A subset of both groups (n=24) was re-evaluated after 5 years. Despite doubled HCL, TM6SF2EK had similar hepatic and adipose tissue insulin sensitivity and even 27% higher whole-body insulin sensitivity than TM6SF2EE. The novel diabetes endotypes were equally distributed among both groups. After 5 years, whole-body insulin sensitivity, HCL and liver fibrosis indices were similar, while adipose tissue insulin sensitivity decreased by 87% and 55% both in TM6SF2EK and TM6SF2EE and circulating triacylglycerol increased in TM6SF2EE only. The TM6SF2 gene polymorphism rs58542926 dissociates ectopic fat content from insulin resistance in recent-onset type 2 diabetes, which is however attenuated by disease duration. This suggests that diabetes-related metabolic alterations dominate over the effects of the TM6SF2 gene polymorphism during the early course of diabetes and NAFLD. Disclosure K.Bódis: None. R.Guthoff: Other Relationship; Alimera, Bayer Inc., Novartis, Allergan. V.Schrauwen-hinderling: None. H.Al-hasani: None. V.Burkart: None. J.Szendroedi: None. R.Wagner: Advisory Panel; Daiichi Sankyo, Speaker's Bureau; Novo Nordisk, Sanofi. D.F.Markgraf: Employee; Boehringer Ingelheim Pharma GmbH&Co.KG. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. M.Bombrich: None. M.Schön: None. B.Knebel: None. O.P.Zaharia: None. G.J.Bönhof: None. Y.Karusheva: None. Y.Kupriyanova: None. J.Kotzka: None.

1552-P: Homeostasis Model Assessment of ß-Cell Function for Diagnosis of Insulinoma

Insulinoma is characterized by uncontrolled hypersecretion of insulin and is currently diagnosed by the 72-h fasting test. Guidelines by Endocrine Society (ES), European (ENETS) and North American (NANETS) Neuroendocrine Tumor Societies provide divergent diagnostic criteria at the end of the fasting test, but parameters assessing ß-cell function noninvasively are not included. This study tested whether homeostasis model assessment of ß-cell function (HOMA-B) as a surrogate for insulin secretion at the end of the fasting test, provide comparable sensitivity and specificity for diagnosis of insulinoma and thus might help to improve current diagnostic guidelines. In 104 persons with suspected insulinoma, 72-h fasting tests were performed with frequent assessment of glucose, insulin, and C-peptide in venous blood. HOMA-B was calculated at time of lowest glucose concentration at the end of fasting test. Follow-up data of patients were collected to exclude false-negative diagnosis of insulinoma. The HOMA-B at the end of the fasting test was >6.5-fold higher in persons with than without insulinoma (insulin and C-peptide, both p<0.001). ENETS/NANETS and ES criteria (insulin and C-peptide) reached a diagnostic sensitivity of ≤0.83 (≤0.61-0.95) and ≤0.96 (≤0.78-1.00) as well as specificity of ≤1.00 (≤0.96-1.00) and ≤0.85 (≤0.76-0.92). The HOMA-B provided high diagnostic sensitivity (cut-off using insulin >253 a.u. and C-peptide >270 a.u.; both 0.96, 0.78-1.00) and specificity (≥0.96, ≥0.89-0.99) at the end of the fasting test for diagnosis of insulinoma (n=23). Using both insulin and C-peptide for HOMA-B, sensitivity even tended to be higher than that of ENETS/NANETS using insulin only (p=0.063) and specificity was higher than that of ES using both insulin and C-peptide (p≤0.002). HOMA-B with defined cut-offs using insulin and C-peptide at the end of the fasting test showed excellent diagnostic sensitivity and specificity and might represent an alternative and precise tool to diagnose insulinoma. Disclosure K.Bódis: None. M.Schön: None. L.Dauben: None. M.Wilker: 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. K.Müssig: None.

321-OR: Differential Associations of Obesity and Metabolic Syndrome with Polyneuropathy in Early Type 2 Diabetes and Normal Glucose Tolerance

There is increasing evidence for a role of the metabolic syndrome (MetS) during development of distal sensorimotor polyneuropathy (DSPN). We hypothesized that MetS components are differentially associated with measures of DSPN in individuals with normal glucose tolerance (NGT) and early type 2 diabetes (T2D). Electrophysiological and quantitative sensory testing was performed in 180 participants with NGT and 355 with recent-onset T2D (known diabetes duration <1 year) matched for age from the German Diabetes Study (NGT/T2D [mean±SD]: age: 43.9±14.0/45.1±7.7 years; sex: 61/65% male; BMI: 26.8±5.0/32.3±6.5 kg/m²; HbA1c: 5.2±0.3/6.5±1.0%). Intraepidermal nerve fiber density (IENFD) was assessed in 218 individuals (NGT/T2D: n=117/101). Subsets of participants were followed for 5 years (NGT/T2D: n=48/53). MetS was defined according to International Diabetes Federation (2006) and DSPN according to Toronto consensus criteria (2011). After adjustment for age, sex, height, smoking and HbA1c, a lower IENFD was associated with higher weight (β=-0.306), number of MetS components (NMetSC; β=-0.222) and presence of central obesity (β=-0.292), while higher malleolar vibration perception threshold was associated with weight (β=0.219) in NGT (P<0.05), but not in T2D. Median motor nerve conduction velocity and sural sensory nerve action potential were inversely associated with weight (β=-0.182/-0.286), NMetSC (β=-0.127/-0.128), presence of central obesity (β=-0.163/-0.165), and MetS (β=-0.169/-0.203) in T2D (P<0.05). Higher weight predicted the presence of DSPN at 5 years (β=0.652, P=0.001) in NGT, while increasing NMetSC and MetS prevalence predicted a decline in IENFD over 5 years (β=-0.533/-0.388, P=0.001/0.013) in T2D. This suggests that obesity indices can predict DSPN over 5 years in NGT, while MetS and its components are differentially associated with measures of DSPN in early, well-controlled type 2 diabetes compared with NGT. Disclosure G.Sipola: None. A.Strom: None. M.Bombrich: None. R.Wagner: Advisory Panel; Daiichi Sankyo, Speaker's Bureau; Novo Nordisk, Sanofi. D.Ziegler: None. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. G.J.Bönhof: None. Gds group: n/a. Funding German Federal Ministry of Health; Ministry of Innovation, Science, Research and Technology of the state North Rhine-Westphalia; German Federal Ministry of Education and Research

1573-P: Association of Thyroid Hormone Levels with NAFLD in Recent-Onset Diabetes

Nonalcoholic fatty liver disease (NAFLD) is a growing health concern associated with obesity and type 2 diabetes (T2D). Thyroid hormones are important regulators of lipid homeostasis. Indeed, people with hypothyroidism are at greater risk for NAFLD and it has been suggested that humans with T2D are more likely to develop hypothyroidism. However, little is known about the relationship of thyroid function with NAFLD in type 1 diabetes (T1D) and T2D. We hypothesized that (i) low free thyroxin (fT4) and high thyroid-stimulating hormone (TSH) levels are associated with increased hepatocellular lipid content (HCL) and (ii) that fT4 and TSH can identify persons at high-risk for hepatic steatosis in people with recent-onset diabetes. We examined people with T1D (n=358) or T2D (n=596) and 175 healthy participants of the German Diabetes Study (GDS). First, validation of the fatty liver index (FLI) against quantification of HCL by 1H-magnetic resonance spectroscopy revealed a close correlation (ß=0.715, p<0.001; n=446). Second, FLI negatively correlated with fT4 in males (ß=−0.139, p<0.01), but not in females with T2D (ß=−0.086, p=0.26). Likewise, TSH associated positively with FLI in males (ß=0.116, p<0.05), but not in females with T2D (ß=−0.057, p=0.45). TSH and FLI were differently associated between males and females before (p<0.05), but not after (p=0.82) adjustment for BMI. Finally, fT4 had a low diagnostic precision for steatosis (by FLI) as derived from the respective area under the receiver operating curve (0.57, 95% CI [0.53;0.62]; p<0.001) in T2D and was not significant in other groups. TSH had no diagnostic precision for steatosis in any groups. In conclusion, FLI can be used as a surrogate measure of HCL in recent-onset diabetes. The correlation of FLI with lower thyroid function in male T2D suggests a sex-specific interaction between thyroid and liver lipid metabolism, which is mainly driven by body mass. Both, fT4 and TSH offer no relevant efficacy to detect steatosis at least in recent-onset diabetes. Disclosure N. Saatmann: None. M. Schön: None. O.P. Zaharia: None. M. Huttasch: None. K. Strassburger: None. S. Trenkamp: None. Y. Kupriyanova: None. V. Schrauwen-Hinderling: None. S. Kahl: None. V. Burkart: 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.

262-LB: Fasting Intact Insulin by Liquid Chromatography–Tandem Mass Spectrometry (LC-MS/MS) as a Predictor of Nonalcoholic Fatty Liver Disease in Pediatric Patients

Background: Recent research in adults has shown fasting intact insulin levels measured by mass spectrometry can predict nonalcoholic fatty liver disease (NAFLD) in patients without diabetes; however, there is limited research in children. This study aimed to evaluate fasting intact insulin by LC-MS/MS as a predictive biomarker of NAFLD in adolescents. Methods: This retrospective, cross-sectional study was based on data from four previously conducted studies. Existing clinical laboratory values included fasting intact insulin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), C-peptide, and the insulin resistance (IR) score. Hepatic fat was assessed by magnetic resonance imaging proton density fat fraction (MRI-PDFF) or MR spectroscopy (MRS). NAFLD was defined as intrahepatic fat of ≥5%. Results: A total of 73 children were included in the analysis (64% male; 13.9 ± 2.8 years of age; body mass index (BMI) 29.1 ± 8.5 kg/m2; 56% with NAFLD). Intact fasting insulin, C-peptide, AST, ALT, and IR scores were higher in children with NAFLD compared to non-NAFLD children (P<0.05). Fasting intact insulin measurements predicted NAFLD (area under the receiver operating characteristic curve [AUROC] of 0.83 [95%CI, 0.73-0.93]). When combined with ALT (intact insulin (μU/mL) × ALT (× U/L)), the combined biomarker slightly improved the prediction of NAFLD (AUROC 0.89 [0.81-0.96]), with positive and negative predictive values of 79% and 100%, respectively. Based on maximizing Youden's index, the optimal cutoff points to predict NAFLD were 13.0 μU/mL for intact insulin and 380 μU/mL × U/L for intact insulin × ALT. Conclusion: Our findings support that fasting intact insulin alone, or combined with ALT (intact insulin × ALT), show promise as predictive biomarkers for pediatric NAFLD with high positive and negative predictive values. Additional studies are needed to validate these findings in other pediatric populations. Disclosure H. Huneault: None. D. Ayinde: None. Z. He: None. C. C. Cohen: None. M. J. McPhaul: Employee; Quest Diagnostics. M. B. Vos: Consultant; Boehringer Ingelheim International GmbH, BMS, Intercept Pharmaceuticals, Inc., Novo Nordisk, ProSciento, Eli Lilly and Company. Research Support; Quest Diagnostics, TARGET PharmaSolutions, Inc. Funding National Institutes of Health (R01DK125701); Georgia Clinical Translational Science Alliance (UL1TR002378)

479-P: Natural Course of Declining Nerve Function during the First 10 Years of Well-Controlled Type 2 Diabetes

There is a lack of evidence on the long-term changes of nerve function in individuals with type 2 diabetes (T2D) compared to those with normal glucose tolerance (NGT). Therefore, we assessed motor and sensory nerve conduction velocities (MNCV, SNCV), sensory nerve action potentials, vibration perception threshold (VPT) and thermal detection threshold of lower extremities in 45 individuals with T2D (known diabetes duration [mean±SD]: 164±95 days) and NGT from the German Diabetes Study (GDS) at baseline (BL) and 5-year follow-up. Individuals were matched pairwise for age (T2D/NGT: 52.9±10.4/52.9±10.3 years) and sex (64/64% male). In addition, 103 individuals with T2D were followed over 10 years. At BL, 1/6 indices was lower in T2D vs NGT (peroneal MNCV: 45.6±4.0 vs 47.2±2.8 m/s; P<0.05). After five years, one index deteriorated in T2D (peroneal MNCV: 45.3±4.1 vs 43.5±3.8 m/s) and one in NGT (malleolar VPT: 1.29±1.88 vs 2.25±3.06 µm) (all P<0.05). After adjustment for BL values and pairwise matching, nerve function similarly declined over the first five years in T2D and NGT (e.g. Δperoneal MNCV; figure). A comparable deterioration was observed in individuals with T2D over 10 years (figure). Parallel decline in small and large fiber function in both NGT and well controlled T2D indicates that the main events leading to impaired nerve function in well controlled T2D might occur earlier than previously assumed. Disclosure A.Strom: None. K.Strassburger: None. G.Sipola: None. D.Ziegler: None. R.Wagner: Advisory Panel; Daiichi Sankyo, Speaker's Bureau; Novo Nordisk, Sanofi. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi. G.J.Bönhof: None. Gds group: n/a. Funding German Federal Ministry of Health; Ministry of Innovation, Science, Research and Technology of the state North Rhine-Westphalia; German Federal Ministry of Education and Research

432-P: Role of Patatin-Like Phospholipase Domain–Containing 3 Gene for Kidney Dysfunction in Diabetes Endotypes

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

844-P: Lanifibranor Improves Markers of Cardiometabolic Health in Patients with NASH and Type 2 Diabetes, Correlated with Responses in Adiponectin Levels

Background: Lanifibranor, a pan-PPAR agonist, has shown efficacy on liver histology and metabolic-immune markers of NASH in the phase 2b NATIVE study. PPAR signaling is involved in common pathways of NASH and type 2 diabetes (T2D). Adiponectin (ADP) is a pleiotropic adipokine which improves insulin resistance (IR), lipid metabolism, inflammation and fibrosis; low ADP levels are associated with risk for cardiovascular disease and NASH. Methods: NATIVE evaluated lanifibranor 800 and 1200 mg/d versus placebo in 247 patients with non-cirrhotic NASH for 24 weeks treatment. Of these 103 had T2D, 144 did not have T2D of whom 47 had prediabetes defined by fasting glucose levels (FGL) between 5.6 - 6.9 mmol/l. ADP serum levels, metabolic-immune and hepatic markers (glycemic control, IR, lipids, systemic inflammation) were measured at baseline (BL) and end of treatment (EOT). In each subgroup, we evaluated ADP at BL, ADP fold-change at EOT, and correlation between ADP change and response of markers. Results: ADP levels were lower in patients with T2D compared to those with pre-DM or normal glycemic control (NGC) (mean 4.6, 5.5, and 5.6 ug/ml, respectively). More patients with T2D had ADP below 5 mg/ml compared to pre-DM or NGC (65% vs 62/54%). In lanifibranor-treated group, ADP folds were similar in the 3 groups, with mean 4.3 fold increase by EOT, versus no increase in the placebo-treated group. In the pooled lanifibranor arms, increase in ADP correlated with improvements in glycemic control, IR, lipid metabolism, and systemic inflammation, consistently in the 3 groups, with higher improvements in patients with T2D and prediabetes compared to the NGC group. Conclusion: The pan-PPAR agonist lanifibranor significantly improves ADP levels and this improvement correlated with markers of cardiometabolic health in patients with T2D and prediabetes. Lanifibranor improves cardiovascular risk profile in patients with impaired glycemic control and NASH. Disclosure L.H.Griffel: Employee; Inventiva Pharma. S.Francque: None. M.F.Abdelmalek: Advisory Panel; Intercept Pharmaceuticals, Inc., Madrigal Pharmaceuticals, Inc., Inventiva Pharma, Novo Nordisk, Merck & Co., Inc., Sonic Incytes, NGM Biopharmaceuticals, Consultant; Hanmi Pharm. Co., Ltd., Research Support; Intercept Pharmaceuticals, Inc., Madrigal Pharmaceuticals, Inc., Hanmi Pharm. Co., Ltd., Boehringer Ingelheim Inc., Gilead Sciences, Inc., Inventiva Pharma, Novo Nordisk, Poxel SA, DURECT Corporation, Enyo Pharma, Enanta, Genentech, Inc., Celgene, NGM Biopharmaceuticals, TARGET PharmaSolutions, Inc., Allergan. P.Huot-marchand: Employee; Inventiva Pharma. L.Dzen: Employee; Inventiva Pharma. M.Baudin: Employee; Inventiva Pharma. J.L.Junien: Consultant; Inventiva Pharma. P.Broqua: None. M.P.Cooreman: Employee; Inventiva Pharma.

222-OR: Metformin Reduces Fasting Glycemia in Well-Controlled Type 2 Diabetes by Promoting Aerobic Glycolysis Independent of Decreasing Endogenous Glucose Production

It is well established that metformin improves glycemic control in individuals with poorly-controlled type 2 diabetes (T2D) by reducing rates of endogenous glucose production (EGP) mediated by inhibition of hepatic gluconeogenesis. However, the mechanism by which metformin reduces blood glucose levels in well-controlled individuals with T2D is still unknown. To address this question, we examined rates of EGP, lactate turnover and hepatic triglyceride (TAG), ATP and glycogen content in near-normoglycemic individuals with T2D (n=10, HbA1c 7±1%) with (M+; 1000 mg bid x 2 wks) and without (M-; 2 wks) metformin treatment using the PINTA method with [2H7]glucose and [3-13C]lactate tracer infusions in combination with 1H- /31P- /13C- magnetic resonance spectroscopy. Metformin treatment did not affect rates of EGP, but reduced fasting plasma glucose concentrations by 30% (p<0.01 vs. M-), which could be attributed to increased rates of glucose clearance (+18%, p<0.005 vs. M-) resulting in increased lactate production (+14%, p<0.01 vs. M-). These changes were associated with decreased hepatic ATP content (-20%, p<0.05 vs. M-), increased hepatic glycogen content (+40%, p<0.05 vs. M-) and no changes in hepatic TAG content. Conclusion: In contrast to the glucose-lowering effect of metformin in poorly-controlled T2D, which is due to reductions in gluconeogenesis, this study demonstrates that in well-controlled T2D metformin reduces fasting glycemia - independent of reductions in EGP - primarily by increasing rates of aerobic glycolysis as reflected by increased peripheral glucose clearance and lactate production as well as reduced hepatic ATP content, which is consistent with metformin-induced inhibition of mitochondrial electron transport chain activity. Disclosure T.Sarabhai: None. T.E.Lamoia: None. S.Friesl: None. M.Jonuscheit: None. K.Petersen: Advisory Panel; Novo Nordisk, Research Support; Merck Sharp & Dohme Corp., Gilead Sciences, Inc. G.I.Shulman: Consultant; Novo Nordisk, DiCerna Pharmaceuticals, Inc., Bayer Consumer Care AG, Kriya Therapeutics, Arrowhead Pharmaceuticals, Inc., ESPERION Therapeutics, Inc., Other Relationship; AstraZeneca, Merck & Co., Inc., Janssen Research & Development, LLC, iMetabolic Biopharma Corporation, Maze Therapeutics, 89bio, Inc., Equator Therapeutics, Inc., Generian Pharmaceuticals, Fortress Biotech, Inc., OrsoBio, Aro Biotherapeutics Company, Stock/Shareholder; Levels Health, Inc. M.Roden: Advisory Panel; Eli Lilly and Company, Consultant; TARGET PharmaSolutions, Inc., Research Support; Boehringer-Ingelheim, Novo Nordisk, Novartis, Sanofi.

716-P: Systolic Blood Pressure Reduction with Tirzepatide across SURPASS Program: A Mediation Analysis Using Weight Loss as a Factor

Tirzepatide (TZP) is a novel dual GIP/GLP-1 receptor agonist for the treatment of type 2 diabetes. Across the SURPASS 1-5 clinical studies, TZP 5, and 15 mg demonstrated significant improvements in HbA1c (-1.9 to -2.6%) , body weight (-6.6 to -13.9%) and systolic blood pressure (SBP) (-2.8 to -12.6 mmHg) at primary endpoint. Post-hoc mediation analyses were conducted to evaluate weight loss dependent (WL-D) and independent (WL-IND) effects of TZP on SBP reductions across 5 SURPASS studies. The difference in mean SBP change from baseline at 40-weeks (Total effect) between TZP and comparator group was -1.3 to -5.1 mmHg (TZP 5 mg) , -1.7 to -6.5 mmHg (TZP mg) and -3.1 to -11.5 mmHg (TZP 15 mg) . The contribution of WL-D and WL-IND effects on these treatment differences are presented below (Figure) . In SURPASS-4 study which enrolled patients with established cardiovascular disease, WL-IND effects explained 33% to 57% of difference in SBP change between TZP and insulin glargine groups, with the remainder of 67% to 43% of the effect being WL-D. In a pooled analysis of SURPASS 1-5 studies, there was a significant (p<0.001) but weak correlation (r = 0.18 to 0.22) between change in body weight and SBP. In conclusion, TZP induced SBP reduction was primarily mediated through weight loss, with different degrees of contributions from weight loss independent effects across the different trials. Disclosure I. Lingvay: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, Lilly, Mannkind, TARGET PharmaSolutions; Valeritas;; Altimmune; DataRevive; Click; Medscape Duke CRI; Janssen Pharma; Bayer; Intercept, Novo Nordisk, Sanofi, Zealand Pharma A/S. Consultant; Novo Nordisk. Research Support; NovoNordisk; Mylan; Merck, Sanofi. O. Mosenzon: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, BOL Pharma, Eli Lilly and Company, Merck Sharp & Dohme Corp., Novo Nordisk, Sanofi. Research Support; AstraZeneca, Novo Nordisk. Speaker's Bureau; AstraZeneca, Bayer AG, Eli Lilly and Company, Novo Nordisk, Sanofi. K. Brown: Employee; Eli Lilly and Company. X. Cui: Employee; Eli Lilly and Company. L. Fernandez Lando: Employee; Eli Lilly and Company. Stock/Shareholder; Eli Lilly and Company. H. Patel: Employee; Eli Lilly and Company. Stock/Shareholder; Eli Lilly and Company. Funding Eli Lilly and Company

394-P: Baseline Risk Markers and Visit-to-Visit Variability in Relation to Kidney Outcomes: A Post Hoc Analysis of the PERL Study

Background: Baseline risk variables and visit-to-visit variability (VV) of systolic blood pressure (SBP) , HbA1c, serum creatinine, and uric acid (UA) are potential risk markers of kidney function decline in type 1 diabetes. Methods: Post-hoc analysis of the PERL study (NCT02017171) - a double-blind randomized placebo-controlled clinical trial investigating allopurinol’s effect on iohexol-derived glomerular filtration rate (iGFR) in type 1 diabetes with elevated UA. Primary outcome was iGFR change over three years. Linear regression with backwards selection of baseline clinical variables was performed to identify an optimized model forecasting iGFR change. VV of SBP, HbA1c, serum creatinine, and UA were calculated as standard deviations of the residuals in individual linear regression models (LV) and coefficients of variation (CV) using all available measurements in the run-in period; thereafter assessed by linear regression, with iGFR change as the dependent variable. Adjustment included sex, baseline age, diabetes duration, BMI, HbA1c, SBP, kidney function (iGFR or eGFR, as appropriate) , urine albumin excretion rate (UAER) , smoking, and renin-angiotensin system inhibitor use. Results: 422 participants completed the trial, 4were included in this analysis. In the optimized baseline risk marker model, race other (including but not limited to Hawaiian/Pacific Islander) than White, Black, or Asian, higher HbA1c, UAER, and heart rate, and lower iGFR were associated with faster iGFR decline; Hispanic/Latino ethnicity was not. Assessing VV, higher LV and CV of SBP was associated with faster iGFR decline (adjusted LV β: -0.79, p=0.01; CV β: -0.79, p=0.04) ; VVs of HbA1c, creatinine, and UA were not. Conclusions: We identified several risk markers of faster iGFR decline in a high-risk population of individuals with type 1 diabetes. In addition to previously described associations, higher SBP VV was a risk marker for faster kidney function decline. Disclosure V.Rotbain curovic: None. S.Polsky: Advisory Panel; Medtronic, Other Relationship; diaTribe, Research Support; Dexcom, Inc., Eli Lilly and Company, Leona M. and Harry B. Helmsley Charitable Trust, Medtronic, National Institute of Diabetes and Digestive and Kidney Diseases, Sanofi-Aventis U.S. R.Pop-busui: Advisory Panel; Averitas Pharma, Inc., Boehringer Ingelheim International GmbH, Nevro Corp., Novo Nordisk, Reata Pharmaceuticals, Inc., Regenacy Pharmaceuticals, Inc. R.J.Sigal: Advisory Panel; Novo Nordisk Canada Inc., Research Support; Novo Nordisk Canada Inc. K.R.Tuttle: Advisory Panel; Boehringer Ingelheim International GmbH, Gilead Sciences, Inc., Consultant; AstraZeneca, Eli Lilly and Company, Research Support; Bayer AG, Goldfinch Bio, Inc., Novo Nordisk, Travere. G.E.Umpierrez: Research Support; AstraZeneca, Dexcom, Inc., Novo Nordisk. A.Wallia: Advisory Panel; Eli Lilly and Company, Research Support; Novo Nordisk, UnitedHealth Group. S.Rosas: Advisory Panel; AstraZeneca, Teladoc Health, Other Relationship; Bayer AG, Research Support; AstraZeneca, Bayer AG. P.Rossing: Consultant; Astellas Pharma Inc., AstraZeneca, Bayer AG, Gilead Sciences, Inc., Merck Sharp & Dohme Corp., Novo Nordisk A/S, Sanofi, Speaker's Bureau; Eli Lilly and Company. The perl study group: n/a. N.Roy: None. T.W.Hansen: Stock/Shareholder; Novo Nordisk A/S. L.Caramori: Advisory Panel; Bayer AG, Consultant; AstraZeneca, Boehringer Ingelheim International GmbH, Novo Nordisk, Research Support; Bayer AG, Novartis AG. D.Cherney: Other Relationship; AbbVie Inc., AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Janssen Research & Development, LLC, Lilly, Maze, BMS, CSL-Behring, Merck, Otsuka, Novartis and Novo-Nordisk , Mitsubishi Tanabe Pharma Corporation, Sanofi, Research Support; Boehringer Ingelheim-Lilly, Merck, Janssen, Sanofi, AstraZeneca and Novo-Nordisk. I.De boer: Advisory Panel; AstraZeneca, Bayer AG, Cyclerion Therapeutics, Inc., George Clinical, Goldfinch Bio, Inc., Other Relationship; American Society of Nephrology, Research Support; Dexcom, Inc. I.B.Hirsch: Consultant; Abbott Diabetes, Bigfoot Biomedical, Inc., GWave, Roche Diabetes Care, Research Support; Beta Bionics, Inc., Insulet Corporation, Medtronic. I.Lingvay: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, Lilly, Mannkind, TARGET PharmaSolutions; Valeritas;; Altimmune; DataRevive; Click; Medscape Duke CRI; Janssen Pharma; Bayer; Intercept, Novo Nordisk, Sanofi, Zealand Pharma A/S, Consultant; Novo Nordisk, Research Support; NovoNordisk; Mylan; Merck, Sanofi. J.B.Mcgill: Advisory Panel; Gilead Sciences, Inc., Lilly Diabetes, MannKind Corporation, Novo Nordisk A/S, Provention Bio, Inc., Salix Pharmaceuticals, Consultant; Bayer AG, Boehringer Ingelheim International GmbH, Research Support; Dexcom, Inc., Novo Nordisk. Funding Supported by grants from the NIDDK (R03-DK-094484, R34-DK-097808, UC4-DK-101108, P30-DK-036836, and P30-DK-020572) , the JDRF (17-2012-377) , the National Center for Advancing Translational Sciences (UL1-TR-002494, UL1-TR- 001422, UL1-TR-002556, UL1-TR-002319, and UL1-TR- 001105) , and the National Institute on Aging (Claude Pepper Center grant number, P30-AG-024824)

718-P: Patients Achieving an HbA1c <5.7% with =5% Weight Loss and without Hypoglycemia: A Post Hoc Analysis of SURPASS 1 to 5

In the phase 3 SURPASS studies of tirzepatide (TZP) , a novel dual GIP/GLP-1 receptor agonist developed for the treatment of type 2 diabetes, 23%-62% of TZP-treated participants achieved a HbA1c <5.7% and 54%-88% achieving ≥5% weight loss. This post hoc analysis evaluated the proportion of participants who achieved the triple endpoint of HbA1c <5.7%, ≥5% weight loss, and no clinically significant or severe hypoglycemia. We compared the proportion of participants achieving the triple endpoint between the TZP (5, 10, or 15 mg) and respective comparator groups using the efficacy analysis dataset without rescue medication. HbA1c and weight were evaluated at the end of the treatment period at week 40 (SURPASS 1, 2, 5) or week 52 (SURPASS 3, 4) . Hypoglycemia included blood glucose level <54 mg/dL with symptoms or severe hypoglycemia at any time. Significantly more participants treated with any dose of TZP achieved the triple endpoint compared to placebo or active comparators in SURPASS 1-5 (Figure) . Of the participants treated with TZP 15 mg, 45%, 48%, 48%, 41%, 55% reached the triple endpoint compared to 1% with placebo, 15% with semaglutide 1 mg, 2% with degludec, 1% with glargine U100, and 1% with placebo, in SURPASS 1-5, respectively. Significantly more participants treated with TZP achieved a HbA1c <5.7% with ≥5% weight loss and without hypoglycemia compared to placebo, semaglutide 1 mg, or basal insulin. Disclosure A.Y. Cheng: Advisory Panel; Abbott, AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Dexcom, Inc., Eli Lilly and Company, HLS Theraoeutics, Insulet Corporation, Janssen Pharmaceuticals, Inc., Medtronic, Novo Nordisk, Sanofi. Board Member; Type 1 Diabetes Think Tank Network. Speaker's Bureau; Bausch Health, Canada, Merck & Co., Inc. Other Relationship; Diabetes Canada. I. Lingvay: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, Lilly, Mannkind, TARGET PharmaSolutions; Valeritas;; Altimmune; DataRevive; Click; Medscape Duke CRI; Janssen Pharma; Bayer; Intercept, Novo Nordisk, Sanofi, Zealand Pharma A/S. Consultant; Novo Nordisk. Research Support; NovoNordisk; Mylan; Merck, Sanofi. P. Choudhary: Advisory Panel; Abbott Diabetes, Lilly Diabetes, Medtronic. Research Support; Novo Nordisk. Speaker's Bureau; Dexcom, Inc., Glooko, Inc., Insulet Corporation, Sanofi. E. Gomez-Valderas: Employee; Lilly. Stock/Shareholder; Lilly. S. Allen: None. K.T. Ranta: Employee; Eli Lilly and Company. J.A. Levine: Employee; Eli Lilly and Company. Stock/Shareholder; Eli Lilly and Company. V. Thieu: None. Funding Eli Lilly and Company

119-OR: Metabolic Abnormalities across the Liver Fat Continuum: How Much Liver Fat Is “Normal”?

Proton magnetic resonance spectroscopy (MRS) provides an accurate quantification of liver fat, but the threshold of 5.5% for “normal” is challenged. We evaluated the relationship between liver fat content and metabolic parameters to explore what might be a metabolically healthy liver fat content. We analyzed data from adult participants in the Dallas Heart Study who underwent clinical evaluation and liver fat quantification by MRS. We compared metabolic characteristics across groups stratified by liver fat quintiles using ANOVA for normal continuous variables, Kruskal-Wallis test for non-normal continuous variables, and Chi-square test for categorical variables. Mean age of the entire cohort was 44 years and 47% were men. Metabolic abnormalities were more prevalent across liver fat quintiles (p<0.0001) : BMI, weight, waist circumference, HTN, diabetes, cholesterol, triglycerides, CRP, leptin, fasting glucose, HOMA-IR, coronary artery calcium score, visceral fat, abdominal subcutaneous adipose tissue, and lower body subcutaneous adipose tissue (table) . Increase in these metabolic abnormalities was noticeable even between the lowest two quintiles. Clinically relevant metabolic abnormalities increased across all quintiles of liver fat, with increment occurring at well below what is currently considered “normal.” Our findings suggest that the presence of any liver fat may be abnormal. Disclosure M.Le: None. E.Wu: None. J.Berry: Consultant; Cooper Institute, Roche Diagnostics, Research Support; Abbott Diagnostics. J.Browning: None. J.Delemos: Advisory Panel; Eli Lilly and Company, Novo Nordisk. I.Neeland: Advisory Panel; Boehringer Ingelheim International GmbH, Merck & Co., Inc., Consultant; Nestlé Health Science. I.Lingvay: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, Lilly, Mannkind, TARGET PharmaSolutions; Valeritas;; Altimmune; DataRevive; Click; Medscape Duke CRI; Janssen Pharma; Bayer; Intercept, Novo Nordisk, Sanofi, Zealand Pharma A/S, Consultant; Novo Nordisk, Research Support; NovoNordisk; Mylan; Merck, Sanofi.

830-P: The Pan-PPAR Agonist Lanifibranor Improves Nonalcoholic Steatohepatitis (NASH) and Glycemic Control

Lanifibranor therapy resulted in both NASH resolution and fibrosis reduction in the phase 2b NATIVE study in patients with non-cirrhotic NASH, compared to placebo. PPAR signaling is involved in common pathways of NASH and type 2 diabetes (T2D) . We evaluated the association between the effect of lanifibranor on glycemic control (GC) and NASH markers. Methods: NATIVE included 247 patients, randomized to lanifibranor 800, 1200 mg/d or placebo for 24 weeks of treatment; 228 patients completed the trial. Efficacy in NASH was measured with SAF score (primary endpoint) and NASH-CRN grading and fibrosis staging. Biomarkers for insulin resistance (IR) , GC, lipid metabolism, inflammation, liver enzymes and imaging of hepatic steatosis by continuous attenuation parameter (CAP) were analyzed at baseline (BL) and end of treatment (EOT) . Correlations between HbA1c (≤6, >6 - ≤7 and >7%) at BL and HbA1c change from BL to EOT with improvement in biomarkers and histologic features of NASH at EOT were assessed. Results: T2D was present in 103 (42%) patients. The composite endpoint of NASH resolution and fibrosis improvement in the overall and T2D group for lanifibranor (pooled data) versus (vs) placebo was 26% vs. 7% (p<0.001) , and 26% vs. 3% (p=0.003) , respectively. Irrespective of T2D status, lanifibranor improved fasting glucose (FG) , IR, lipid metabolism, C-reactive protein, and liver enzymes. In contrast to placebo, lanifibranor improved mean HbA1c from BL in the overall and T2D group, -0.41% and -0.66%, respectively. In the lanifibranor group, BL HbA1c correlated with BL NASH activity and fibrosis; HbA1c decrease at EOT correlated with improvement of FG, insulin, IR, liver enzymes, HDL-cholesterol, triglycerides, ApoB, ApoB/ApoA1, CAP and histologic improvement of steatosis and ballooning. Conclusion: GC correlates with NASH severity. The improvement of metabolic markers of NASH and hepatic steatosis with lanifibranor treatment is consistent with its beneficial effect on GC. Disclosure M.P.Cooreman: Employee; Inventiva Pharma. S.Francque: None. L.Dzen: Employee; Inventiva Pharma. P.Huot-marchand: Employee; Inventiva Pharma. J.L.Junien: None. P.Broqua: None. M.F.Abdelmalek: Advisory Panel; Akero Therapeutics, Inc., Bristol-Myers Squibb Company, Inventiva Pharma, Madrigal Pharmaceuticals, Inc., NGM Biopharmaceuticals, Novo Nordisk, Consultant; Hanmi Pharm. Co., Ltd., Research Support; Akero Therapeutics, Inc., Allergan, Boehringer Ingelheim International GmbH, Bristol-Myers Squibb Company, Celgene, DURECT Corporation, Enanta, Enyo Pharma, Hanmi Pharm. Co., Ltd., Intercept Pharmaceuticals, Inc., Inventiva Pharma, Madrigal Pharmaceuticals, Inc., NGM Biopharmaceuticals, Novo Nordisk, Poxel SA, TARGET PharmaSolutions, Inc., Viking Therapeutics.

Primary biliary cholangitis: 2021 practice guidance update from the American Association for the Study of Liver Diseases.

In May 2021, the FDA issued a new warning restricting the use of obeticholic acid in patients with advanced cirrhosis 1 . This is defined as cirrhosis with current or prior evidence of liver decompensation (e.g., encephalopathy, coagulopathy) or portal hypertension(e.g., ascites, gastroesophageal varices, or persistent thrombocytopenia).