Pratley, Richard E.

OBJECTIVE In many individuals, type 2 diabetes (T2D) remains poorly controlled despite taking multiple glucose-lowering therapies. Several studies have demonstrated that endogenous hypercortisolism is prevalent among these individuals. We tested whether cortisol-directed therapy improves their glycemic control. RESEARCH DESIGN AND METHODS In this prospective, multicenter, double-blind study, 136 individuals with T2D (hemoglobin A1c [HbA1c] 7.5%–11.5% [58–102 mmol/mol] on multiple medications) and hypercortisolism (by dexamethasone suppression test) were randomized 2:1 to the glucocorticoid receptor antagonist mifepristone (300–900 mg once daily; n = 91) or placebo (n = 45) for 24 weeks, with stratification by presence/absence of an adrenal imaging abnormality. The primary end point was the change in HbA1c. Secondary end points included changes in glucose-lowering medications, weight, and waist circumference and safety. RESULTS Mean baseline HbA1c in the study cohort was 8.55% (69.9 mmol/mol). At 24 weeks, the least squares mean (LSM) difference from placebo in HbA1c was −1.32% (95% CI −1.81 to −0.83; P < 0.001). Participants receiving mifepristone experienced reductions in body weight and waist circumference (placebo-adjusted LSM differences of −5.12 kg [95% CI −8.20 to −2.03] and −5.1 cm [−8.23 to −1.99], respectively). Of participants on mifepristone, 46% discontinued therapy, compared with 18% on placebo. Adverse events with mifepristone (>10% of participants) included hypokalemia, fatigue, nausea, vomiting, headache, peripheral edema, diarrhea, and dizziness, consistent with mifepristone’s known tolerability profile. Increases in blood pressure also occurred. CONCLUSIONS In individuals with inadequately controlled T2D and hypercortisolism, cortisol-directed medical therapy with mifepristone reduced HbA1c, with a manageable tolerability profile.

OBJECTIVE Despite the use of multiple glucose-lowering medications, glycemic targets are not met in a significant fraction of people with type 2 diabetes. In this prospective, observational study we assessed the prevalence of hypercortisolism, a potential contributing factor to inadequate glucose control. RESEARCH DESIGN AND METHODS Individuals with type 2 diabetes and HbA1c 7.5%–11.5% (58–102 mmol/mol) on two or more glucose-lowering medications with or without micro-/macrovascular complications or taking multiple blood pressure–lowering medications were screened with a 1-mg dexamethasone suppression test. Common causes of false-positive DSTs were excluded. The primary end point was the prevalence of hypercortisolism, defined as post-DST cortisol >1.8 μg/dL (50 nmol/L). Characteristics associated with hypercortisolism were assessed with multiple logistic regression. The percentage and characteristics of participants with hypercortisolism and adrenal imaging abnormalities were also assessed. RESULTS Post-DST cortisol was unsuppressed in 252 of 1,057 participants (prevalence 23.8%; 95% CI 21.3, 26.5). Hypercortisolism prevalence was 33.3% among participants with cardiac disorders and 36.6% among those taking three or more blood pressure–lowering medications. Adrenal imaging abnormalities were reported in 34.7% of participants with hypercortisolism. Use of sodium–glucose cotransporter 2 inhibitors (odds ratio 1.558), maximum-dose glucagon-like peptide 1 receptor agonists (1.544), tirzepatide (1.981), or a higher number of blood pressure–lowering medications (1.390); older age (1.316); BMI <30 kg/m2 (1.639); non-Latino/Hispanic ethnicity (3.718); and use of fibrates (2.676) or analgesics (1.457) were associated with higher prevalence (all P < 0.03). CONCLUSIONS Hypercortisolism was associated with hyperglycemia in approximately one-quarter of individuals with inadequately controlled type 2 diabetes despite multiple medications.

Abstract INTRODUCTION Cognition is reduced at low and high glucose, reflecting cognitive vulnerability to glucose (CVG) fluctuations. The impact of glucose fluctuations on the aging brain remains unclear. We examined whether CVG is associated with plasma biomarkers of Alzheimer's disease (AD) pathology and neurodegeneration. METHODS Participants included N = 114 adults with type 1 diabetes assessed for processing speed and sustained attention using ecological momentary assessment (EMA) combined with continuous glucose monitoring (CGM). We characterized associations between CVG and amyloid beta (Aβ) 42/40, phosphorylated tau (p‐tau) 181 and 217, neurofilament light chain, and glial fibrillary acidic protein. RESULTS CVG was associated with all plasma biomarkers, except Aβ 42/40. CVG for sustained attention exhibited strong associations with p‐tau biomarkers that persisted across covariate specifications. DISCUSSION CVG may be a useful digital phenotype of AD. It remains unclear whether CVG contributes to versus arises from neurodegeneration. We consider possible mechanisms linking cognitive vulnerability and long‐term glucose variability to the development of neuropathology. Highlights Cognitive vulnerability to glucose (CVG) may be a useful digital phenotype of neurodegeneration. We used cognitive ecological momentary assessment and continuous glucose monitoring to investigate CVG's associations with plasma biomarkers. Associations of CVG for sustained attention and phosphorylated tau 181 remained significant across covariates. We discuss possible mechanisms relating glucose variability, cognition, and neurodegeneration.

Abstract Disclosure: J.P. Frias: Advisory Board Member; Self; Corcept Therapeutics. Consulting Fee; Self; Corcept Therapeutics. Other; Self; Corcept Therapeutics. R.J. Auchus: Consulting Fee; Self; Corcept Therapeutics. Grant Recipient; Self; Corcept Therapeutics. Speaker; Self; Corcept Therapeutics. Other; Self; Corcept Therapeutics. I. Bancos: None. L. Blonde: Advisory Board Member; Self; Corcept Therapeutics. Other; Self; Corcept Therapeutics. R.S. Busch: Consulting Fee; Self; Corcept Therapeutics. Speaker; Self; Bayer, Inc., Novo Nordisk, Amgen Inc, Eli Lilly & Company, AstraZeneca. J.B. Buse: Advisory Board Member; Self; AstraZeneca, Bayer, Inc., Boehringer Ingelheim, Eli Lilly & Company, Jansen Pharmaceuticals, Mannkind Corporation, Sanofi, Alkahest, Altimmune, Anji, Biomea Fusion Inc, CeQur, Cirius Therapeutics Inc, GentiBio, Glycadia, Glyscend, Mellitus Health, Moderna, Pendulum Therapeutics, Praetego, Stability Health, Valo, Zealand Pharma. Consulting Fee; Self; AstraZeneca, Bayer, Inc., Boehringer Ingelheim, Eli Lilly & Company, Janssen, Mannkind Corporation, Sanofi, Alkahest, Altimmune, Anji, Biomea Fusion Inc, CeQur, Cirius Therapeutics Inc, Dasman Diabetes Center (Kuwait), Fortress Biotech, GentiBio, Glycadia, Glyscend, Mediflix, Medscape, Mellitus Health, Moderna, Pendulum Therapeutics, Praetego, ReachMD, Stability Health, Valo, Zealand Pharma. Grant Recipient; Self; Novo Nordisk, Sanofi, VTV Therapeutics, Nanotype, NIH, NovaTarg, Tolerion, Dexcom. Stock Owner; Self; Glyscend, Mellitus Health, Pendulum Therapeutics, PhaseBio, Praetego, Stability Health. Other; Self; AstraZeneca, Boehringer Ingelheim, Eli Lilly & Company, Novo Nordisk, Dasman Diabetes Institute, Zealand, Association for Clinical and Translational Science. R.A. DeFronzo: None. J.W. Findling: Advisory Board Member; Self; Corcept Therapeutics. Consulting Fee; Self; Corcept Therapeutics. V. Fonseca: Advisory Board Member; Self; Corcept Therapeutics. Consulting Fee; Self; Corcept Therapeutics. O. Hamidi: Advisory Board Member; Self; Corcept Therapeutics, Lantheus, Recordati Rare Diseases, Neurocrine Biosciences, Amryt, Novo Nordisk, Strongbridge. Consulting Fee; Self; Corcept Therapeutics. Y. Handelsman: Consulting Fee; Self; Amgen Inc, Applied Therapeutic, AstraZeneca, Bayer, Inc., Boehringer Ingelheim, Corcept Therapeutics, Esperion, Mannkind Corporation, Merck, Pfizer, Inc., Novartis Pharmaceuticals, Novo Nordisk, Sanofi, Vertis. Grant Recipient; Self; Amgen Inc, Applied Therapeutic, Ionis Pharmaceuticals Inc., Regor. Speaker; Self; AstraZeneca, Bayer, Inc., Esperion, Novo Nordisk, Vertis, Amarin. R.E. Pratley: Consulting Fee; Self; Bayer, Inc., Corcept Therapeutics, Gasherbrum Bio, Inc, Hanmi, Hengrui (USA) Ltd, Merck, Novo Nordisk, Pfizer, Inc., Rivus Pharmaceuticals Inc, Sun Pharmaceutical Industries, Sanofi, Scohia Pharma Inc, Dexcom. Grant Recipient; Self; Hanmi, Metavention, Novo Nordisk, Poxel SA. Speaker; Self; Novo Nordisk. J. Rosenstock: Advisory Board Member; Self; Applied Therapeutics, Boehringer Ingelheim, Eli Lilly & Company, Hanmi, Novo Nordisk, Oramed, Sanofi, Structure Therapeutics, Zealand. Consulting Fee; Self; Applied Therapeutics, Boehringer Ingelheim, Eli Lilly & Company, Hanmi, Novo Nordisk, Oramed, Sanofi, Structure Therapeutics, Zealand. Grant Recipient; Self; Applied Therapeutics, AstraZeneca, Boehringer Ingelheim, Eli Lilly & Company, Hanmi, Merck, Oramed, Novartis Pharmaceuticals, Novo Nordisk, Pfizer, Inc., Sanofi. I. Tudor: Employee; Self; Corcept Therapeutics. Stock Owner; Self; Corcept Therapeutics. A.G. Moraitis: Employee; Self; Corcept Therapeutics. D. Einhorn: Employee; Self; Corcept Therapeutics. Studies suggest that the prevalence of hypercortisolism in persons with difficult-to-control type 2 diabetes (T2D) is higher than is currently appreciated. A recently published meta-analysis suggests that the prevalence of hypercortisolism is higher in persons with T2D who require a greater number of antihyperglycemic agents and/or who have more comorbidities. To better understand the prevalence and whether treatment of hypercortisolism may result in better control of diabetes and other hypercortisolism-associated comorbidities, we describe a 2-part phase 4 study in adults with difficult-to-control T2D (HbA1c 7.5-11.5%) despite receiving multiple antihyperglycemic agents. The study will be conducted at approximately 30 sites in the United States. In Part 1, approximately 1000 persons with difficult-to-control T2D will be screened with a 1-mg dexamethasone suppression test. Those responding with serum cortisol >1.8 µg/dL (50 nmol/L) and dexamethasone levels ≥140 ng/dL (3.6 nmol/L) will have adrenocorticotropic hormone (ACTH), dehydroepiandrosterone sulfate, and cortisol measured in fasting blood samples obtained between 7-9 AM and a non-contrast adrenal computed tomography scan. Patients who may have ACTH-dependent hypercortisolism will be discontinued from the study and referred for further evaluation. The primary study endpoint is determining the prevalence of ACTH-independent hypercortisolism and will be evaluated in Part 1. Patients identified to have ACTH-independent hypercortisolism will advance to Part 2, a prospective, randomized, double-blind, placebo-controlled trial to evaluate the efficacy and safety of treatment with the glucocorticoid receptor antagonist mifepristone. Patients will be randomized 2:1 to mifepristone or placebo, stratified by the presence or absence of adrenal adenomas on CT, and receive treatment for 24 weeks. The mifepristone dose will be 300 mg once daily for 4 weeks, then increased to 600 mg daily for 20 weeks based on clinical assessment of tolerability and degree of improvement. There will be an option to increase to mifepristone 900 mg. Placebo will be titrated accordingly from 1 up to 3 tablets. Part 2 will assess the secondary endpoint of change in HbA1c from baseline to 24 weeks, as well as changes in hypercortisolism-related comorbidities (e.g., blood pressure, weight, waist circumference, quality of life). This will be the first prospective study to assess the prevalence of ACTH-independent hypercortisolism in persons with difficult-to-control T2D and the first prospective, randomized, placebo-controlled trial to assess the potential benefits and safety of treatment with mifepristone in this patient population. Presentation: Friday, June 16, 2023

Objective: To evaluate glycemic outcomes in the Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) randomized clinical trial (RCT) participants during an observational extension phase. Research Design and Methods: WISDM RCT was a 26-week RCT comparing continuous glucose monitoring (CGM) with blood glucose monitoring (BGM) in 203 adults aged ≥60 years with type 1 diabetes. Of the 198 participants who completed the RCT, 100 (98%) CGM group participants continued CGM (CGM-CGM cohort) and 94 (98%) BGM group participants initiated CGM (BGM-CGM cohort) for an additional 26 weeks. Results: CGM was used a median of >90% of the time at 52 weeks in both cohorts. In the CGM-CGM cohort, median time <70 mg/dL decreased from 5.0% at baseline to 2.6% at 26 weeks and remained stable with a median of 2.8% at 52 weeks ( P < 0.001 baseline to 52 weeks). Participants spent more time in range 70–180 mg/dL (TIR) (mean 56% vs. 64%; P < 0.001) and had lower hemoglobin A1c (HbA1c) (mean 7.6% [59 mmol/mol] vs. 7.4% [57 mmol/mol]; P = 0.01) from baseline to 52 weeks. In BGM-CGM, from 26 to 52 weeks median time <70 mg/dL decreased from 3.9% to 1.9% ( P < 0.001), TIR increased from 56% to 60% ( P = 0.006) and HbA1c decreased from 7.5% (58 mmol/mol) to 7.3% (57 mmol/mol) ( P = 0.025). In BGM-CGM, a severe hypoglycemic event was reported for nine participants while using BGM during the RCT and for two participants during the extension phase with CGM ( P = 0.02). Conclusions: CGM use reduced hypoglycemia without increasing hyperglycemia in older adults with type 1 diabetes. These data provide further evidence for fully integrating CGM into clinical practice. Clinicaltrials.gov (NCT03240432)

Background: Knowledge regarding the burden and predictors of hypoglycemia among older adults with type 1 diabetes (T1D) is limited. Methods: We analyzed baseline data from the Wireless Innovations for Seniors with Diabetes Mellitus (WISDM) study, which enrolled participants at 22 sites in the United States. Eligibility included clinical diagnosis of T1D, age ≥60 years, no real-time continuous glucose monitoring (CGM) use in prior three months, and HbA1c <10.0%. Blinded CGM data from 203 participants with at least 240 hours were included in the analyses. Results: Median age of the cohort was 68 years (52% female, 93% non-Hispanic white, and 53% used insulin pumps). Mean HbA1c was 7.5%. Median time spent in the glucose range <70 mg/dL was 5.0% (72 min/day) and <54 mg/dL was 1.6% (24 min/day). Among all factors analyzed, only reduced hypoglycemia awareness was associated with greater time spent <54 mg/dL (median time of 2.7% vs 1.3% [39 vs 19 minutes per day] for reduced awareness vs aware/uncertain, respectively, P = .03). Participants spent a mean 56% of total time in target glucose range of 70-180 mg/dL and 37% of time above 180 mg/dL. Conclusions: Over half of older T1D participants spent at least an hour a day with glucose levels <70 mg/dL. Those with reduced hypoglycemia awareness spent over twice as much time than those without in a serious hypoglycemia range (glucose levels <54 mg/dL). Interventions to reduce exposure to clinically significant hypoglycemia and increase time in range are urgently needed in this age group.

OBJECTIVE The MHC region harbors the strongest loci for latent autoimmune diabetes in adults (LADA); however, the strength of association is likely attenuated compared with that for childhood-onset type 1 diabetes. In this study, we recapitulate independent effects in the MHC class I region in a population with type 1 diabetes and then determine whether such conditioning in LADA yields potential genetic discriminators between the two subtypes within this region. RESEARCH DESIGN AND METHODS Chromosome 6 was imputed using SNP2HLA, with conditional analysis performed in type 1 diabetes case subjects (n = 1,985) and control subjects (n = 2,219). The same approach was applied to a LADA cohort (n = 1,428) using population-based control subjects (n = 2,850) and in a separate replication cohort (656 type 1 diabetes case, 823 LADA case, and 3,218 control subjects). RESULTS The strongest associations in the MHC class II region (rs3957146, β [SE] = 1.44 [0.05]), as well as the independent effect of MHC class I genes, on type 1 diabetes risk, particularly HLA-B*39 (β [SE] = 1.36 [0.17]), were confirmed. The conditional analysis in LADA versus control subjects showed significant association in the MHC class II region (rs3957146, β [SE] = 1.14 [0.06]); however, we did not observe significant independent effects of MHC class I alleles in LADA. CONCLUSIONS In LADA, the independent effects of MHC class I observed in type 1 diabetes were not observed after conditioning on the leading MHC class II associations, suggesting that the MHC class I association may be a genetic discriminator between LADA and childhood-onset type 1 diabetes.