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Item Adult-Onset Type 1 Diabetes: Current Understanding and Challenges(American Diabetes Association, 2021-11) Leslie, R. David; Evans-Molina, Carmella; Freund-Brown, Jacquelyn; Buzzetti, Raffaella; Dabelea, Dana; Gillespie, Kathleen M.; Goland, Robin; Jones, Angus G.; Kacher, Mark; Phillips, Lawrence S.; Rolandsson, Olov; Wardian, Jana L.; Dunne, Jessica L.; Pediatrics, School of MedicineRecent epidemiological data have shown that more than half of all new cases of type 1 diabetes occur in adults. Key genetic, immune, and metabolic differences exist between adult- and childhood-onset type 1 diabetes, many of which are not well understood. A substantial risk of misclassification of diabetes type can result. Notably, some adults with type 1 diabetes may not require insulin at diagnosis, their clinical disease can masquerade as type 2 diabetes, and the consequent misclassification may result in inappropriate treatment. In response to this important issue, JDRF convened a workshop of international experts in November 2019. Here, we summarize the current understanding and unanswered questions in the field based on those discussions, highlighting epidemiology and immunogenetic and metabolic characteristics of adult-onset type 1 diabetes as well as disease-associated comorbidities and psychosocial challenges. In adult-onset, as compared with childhood-onset, type 1 diabetes, HLA-associated risk is lower, with more protective genotypes and lower genetic risk scores; multiple diabetes-associated autoantibodies are decreased, though GADA remains dominant. Before diagnosis, those with autoantibodies progress more slowly, and at diagnosis, serum C-peptide is higher in adults than children, with ketoacidosis being less frequent. Tools to distinguish types of diabetes are discussed, including body phenotype, clinical course, family history, autoantibodies, comorbidities, and C-peptide. By providing this perspective, we aim to improve the management of adults presenting with type 1 diabetes.Item Advanced Imaging Techniques for the Characterization of Subcellular Organelle Structure in Pancreatic Islet β Cells(Wiley, 2023-12-29) McLaughlin, Madeline R.; Weaver, Staci A.; Syed, Farooq; Evans-Molina, Carmella; Pediatrics, School of MedicineType 2 diabetes (T2D) affects more than 32.3 million individuals in the United States, creating an economic burden of nearly $966 billion in 2021. T2D results from a combination of insulin resistance and inadequate insulin secretion from the pancreatic β cell. However, genetic and physiologic data indicate that defects in β cell function are the chief determinant of whether an individual with insulin resistance will progress to a diagnosis of T2D. The subcellular organelles of the insulin secretory pathway, including the endoplasmic reticulum, Golgi apparatus, and secretory granules, play a critical role in maintaining the heavy biosynthetic burden of insulin production, processing, and secretion. In addition, the mitochondria enable the process of insulin release by integrating the metabolism of nutrients into energy output. Advanced imaging techniques are needed to determine how changes in the structure and composition of these organelles contribute to the loss of insulin secretory capacity in the β cell during T2D. Several microscopy techniques, including electron microscopy, fluorescence microscopy, and soft X-ray tomography, have been utilized to investigate the structure-function relationship within the β cell. In this overview article, we will detail the methodology, strengths, and weaknesses of each approach.Item Assessment of Salivary Adipokines Resistin, Visfatin, and Ghrelin as Type 2 Diabetes Mellitus Biomarkers(Hindawi Publishing Corporation, 2018-02-01) Srinivasan, Mythily; Meadows, Melinda L.; Maxwell, Lisa; Oral Pathology, Medicine and Radiology, School of DentistryType 2 diabetes mellitus (T2DM) is emerging as a metabolic epidemic worldwide. Pathologically, dysregulation of many biological pathways precedes hyperglycemia and the clinical diagnosis of T2DM. Changing trajectories along the process of T2DM development necessitates frequent measurement of biomarkers for early identification of at-risk individuals and successful prevention. Increase in circulating inflammatory adipokines has been suggested as predictive of T2DM. Human saliva is an easily accessible biospecimen amenable for painless frequent collection and possesses nearly 50% of serum proteome. In this study, we measured the adipokines resistin, visfatin, TNF-α, and ghrelin as markers for T2DM in unstimulated whole saliva (UWS) using specific assay kits. Resistin and visfatin concentrations were significantly higher in T2DM saliva. Although the concentration of acylated or unacylated ghrelin was lower in diabetic saliva, the decrease was not significant. Since resistin and visfatin are biomarkers integral to T2DM pathology, their salivary assessments may receive clinical acceptance.Item Association of Genetic Predisposition and Physical Activity With Risk of Gestational Diabetes in Nulliparous Women(American Medical Association, 2022-08-01) Pagel, Kymberleigh A.; Chu, Hoyin; Ramola, Rashika; Guerrero, Rafael F.; Chung, Judith H.; Parry, Samuel; Reddy, Uma M.; Silver, Robert M.; Steller, Jonathan G.; Yee, Lynn M.; Wapner, Ronald J.; Hahn, Matthew W.; Natarajan, Sriraam; Haas, David M.; Radivojac, Predrag; Obstetrics and Gynecology, School of MedicineImportance: Polygenic risk scores (PRS) for type 2 diabetes (T2D) can improve risk prediction for gestational diabetes (GD), yet the strength of the association between genetic and lifestyle risk factors has not been quantified. Objective: To assess the association of PRS and physical activity in existing GD risk models and identify patient subgroups who may receive the most benefits from a PRS or physical activity intervention. Design, settings, and participants: The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be cohort was established to study individuals without previous pregnancy lasting at least 20 weeks (nulliparous) and to elucidate factors associated with adverse pregnancy outcomes. A subcohort of 3533 participants with European ancestry was used for risk assessment and performance evaluation. Participants were enrolled from October 5, 2010, to December 3, 2013, and underwent genotyping between February 19, 2019, and February 28, 2020. Data were analyzed from September 15, 2020, to November 10, 2021. Exposures: Self-reported total physical activity in early pregnancy was quantified as metabolic equivalents of task (METs). Polygenic risk scores were calculated for T2D using contributions of 84 single nucleotide variants, weighted by their association in the Diabetes Genetics Replication and Meta-analysis Consortium data. Main outcomes and measures: Estimation of the development of GD from clinical, genetic, and environmental variables collected in early pregnancy, assessed using measures of model discrimination. Odds ratios and positive likelihood ratios were used to evaluate the association of PRS and physical activity with GD risk. Results: A total of 3533 women were included in this analysis (mean [SD] age, 28.6 [4.9] years). In high-risk population subgroups (body mass index ≥25 or aged ≥35 years), individuals with high PRS (top 25th percentile) or low activity levels (METs <450) had increased odds of a GD diagnosis of 25% to 75%. Compared with the general population, participants with both high PRS and low activity levels had higher odds of a GD diagnosis (odds ratio, 3.4 [95% CI, 2.3-5.3]), whereas participants with low PRS and high METs had significantly reduced risk of a GD diagnosis (odds ratio, 0.5 [95% CI, 0.3-0.9]; P = .01). Conclusions and relevance: In this cohort study, the addition of PRS was associated with the stratified risk of GD diagnosis among high-risk patient subgroups, suggesting the benefits of targeted PRS ascertainment to encourage early intervention.Item Baseline Predictors of Glycemic Worsening in Youth and Adults With Impaired Glucose Tolerance or Recently Diagnosed Type 2 Diabetes in the Restoring Insulin Secretion (RISE) Study(American Diabetes Association, 2021) Sam, Susan; Edelstein, Sharon L.; Arslanian, Silva A.; Barengolts, Elena; Buchanan, Thomas A.; Caprio, Sonia; Ehrmann, David A.; Hannon, Tamara S.; Hogan Tjaden, Ashley; Kahn, Steven E.; Mather, Kieren J.; Tripputi, Mark; Utzschneider, Kristina M.; Xiang, Anny H.; Nadeau, Kristen J.; The RISE Consortium; Pediatrics, School of MedicineObjective: To identify predictors of glycemic worsening among youth and adults with impaired glucose tolerance (IGT) or recently diagnosed type 2 diabetes in the Restoring Insulin Secretion (RISE) Study. Research design and methods: A total of 91 youth (10-19 years) were randomized 1:1 to 12 months of metformin (MET) or 3 months of glargine, followed by 9 months of metformin (G-MET), and 267 adults were randomized to MET, G-MET, liraglutide plus MET (LIRA+MET), or placebo for 12 months. All participants underwent a baseline hyperglycemic clamp and a 3-h oral glucose tolerance test (OGTT) at baseline, month 6, month 12, and off treatment at month 15 and month 21. Cox models identified baseline predictors of glycemic worsening (HbA1c increase ≥0.5% from baseline). Results: Glycemic worsening occurred in 17.8% of youth versus 7.5% of adults at month 12 (P = 0.008) and in 36% of youth versus 20% of adults at month 21 (P = 0.002). In youth, glycemic worsening did not differ by treatment. In adults, month 12 glycemic worsening was less on LIRA+MET versus placebo (hazard ratio 0.21, 95% CI 0.05-0.96, P = 0.044). In both age-groups, lower baseline clamp-derived β-cell responses predicted month 12 and month 21 glycemic worsening (P < 0.01). Lower baseline OGTT-derived β-cell responses predicted month 21 worsening (P < 0.05). In youth, higher baseline HbA1c and 2-h glucose predicted month 12 and month 21 glycemic worsening, and higher fasting glucose predicted month 21 worsening (P < 0.05). In adults, lower clamp- and OGTT-derived insulin sensitivity predicted month 12 and month 21 worsening (P < 0.05). Conclusions: Glycemic worsening was more common among youth than adults with IGT or recently diagnosed type 2 diabetes, predicted by lower baseline β-cell responses in both groups, hyperglycemia in youth, and insulin resistance in adults.Item A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes(American Diabetes Association, 2020-11) Bone, Robert N.; Oyebamiji, Olufunmilola; Talware, Sayali; Selvaraj, Sharmila; Krishnan, Preethi; Syed, Farooq; Wu, Huanmei; Evans-Molina, Carmella; Pediatrics, School of MedicineThe Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We used an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray data sets generated using human islets from donors with diabetes and islets where type 1 (T1D) and type 2 (T2D) diabetes had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. In parallel, we generated an RNA-sequencing data set from human islets treated with brefeldin A (BFA), a known GA stress inducer. Overlapping the T1D and T2D groups with the BFA data set, we identified 120 and 204 differentially expressed genes, respectively. In both the T1D and T2D models, pathway analyses revealed that the top pathways were associated with GA integrity, organization, and trafficking. Quantitative RT-PCR was used to validate a common signature of GA stress that included ATF3, ARF4, CREB3, and COG6 Taken together, these data indicate that GA-associated genes are dysregulated in diabetes and identify putative markers of β-cell GA stress.Item Continuous Glucose Monitoring Workflows for Elderly, Cognitively Impaired Adults with Type 2 Dia(Indiana University Medical Student Program for Research and Scholarship, 2022) Pamidimukkala, Ujwala; Savoy, April; Medicine, School of MedicineBackground: Elderly adults with Alzheimer’s disease-related dementia (ADRD) and type 2 diabetes tend to have difficulty in detecting hypoglycemic events. Over time, recurring hypoglycemic events increase the risk for severe consequences, such as hospitalization. Previous studies have shown continuous glucose monitoring (CGM) systems to be one of the best predictors of hypoglycemia, which can be difficult to discern normally. However, CGM systems have not been formally introduced to the ADRD population, so there is a need to understand how CGM can be incorporated into the diabetes care of elderly, cognitively impaired adults. Objective: The goal of this project is to develop a better understanding of how CGM systems can be extended to the ADRD population and what potential barriers may develop. Methods: A narrative review of how CGM systems are currently used by patients and caregivers was conducted using databases such as PubMed and Google Scholar, as well as clinical and CGM manufacturer manuals. Subsequently, a workflow extrapolated to ADRD adults was created based on these sources. Findings: A total of 118 articles, websites, and guides were obtained and evaluated. Current CGM workflows consist of 3-9 steps. A total of five potential areas for improvement have been identified. The newly constructed workflow consists of 9 steps: (1) healthcare visit, (2) CGM education, (3) CGM pick-up, (4) sensor insertion, (5) scan/calibrate, (6) evaluate data, (7) replace sensor, (8) next healthcare visit, and (9) pharmacist alterations. Conclusion: Current CGM workflows are oversimplified and do not detail processes that can be complicated for adults with diabetes and ADRD and their caregivers. However, more research still needs to be conducted to determine the severity of the identified barriers and how to overcome them. This project can inform future work on the integration of CGM into diabetes care for the ADRD population.Item Cost-effectiveness of Community-Based Depression Interventions for Rural and Urban Adults With Type 2 Diabetes: Projections From Program ACTIVE (Adults Coming Together to Increase Vital Exercise) II(American Diabetes Association, 2021) Kuo, Shihchen; de Groot, Mary; Saha, Chandan; Shubrook, Jay H.; Hornsby, W. Guyton, Jr.; Pillay, Yegan; Mather, Kieren J.; Herman, William H.; Endocrinology, IU School of MedicineObjective: We estimated the cost-effectiveness of the Program ACTIVE (Adults Coming Together to Increase Vital Exercise) II community-based exercise (EXER), cognitive behavioral therapy (CBT), and EXER+CBT interventions in adults with type 2 diabetes and depression relative to usual care (UC) and each other. Research design and methods: Data were integrated into the Michigan Model for Diabetes to estimate cost and health outcomes over a 10-year simulation time horizon from the health care sector and societal perspectives, discounting costs and benefits at 3% annually. Primary outcome was cost per quality-adjusted life-year (QALY) gained. Results: From the health care sector perspective, the EXER intervention strategy saved $313 (USD) per patient and produced 0.38 more QALY (cost saving), the CBT intervention strategy cost $596 more and gained 0.29 more QALY ($2,058/QALY), and the EXER+CBT intervention strategy cost $403 more and gained 0.69 more QALY ($585/QALY) compared with UC. Both EXER and EXER+CBT interventions dominated the CBT intervention. Compared with EXER, the EXER+CBT intervention strategy cost $716 more and gained 0.31 more QALY ($2,323/QALY). From the societal perspective, compared with UC, the EXER intervention strategy saved $126 (cost saving), the CBT intervention strategy cost $2,838/QALY, and the EXER+CBT intervention strategy cost $1,167/QALY. Both EXER and EXER+CBT interventions still dominated the CBT intervention. In comparison with EXER, the EXER+CBT intervention strategy cost $3,021/QALY. Results were robust in sensitivity analyses. Conclusions: All three Program ACTIVE II interventions represented a good value for money compared with UC. The EXER+CBT intervention was highly cost-effective or cost saving compared with the CBT or EXER interventions.Item Dapagliflozin protects neural and vascular dysfunction of the retina in diabetes(BMJ, 2022) Luo, Qianyi; Leley, Sameer P.; Bello, Erika; Dhami, Hurshdeep; Mathew, Deepa; Bhatwadekar, Ashay Dilip; Ophthalmology, School of MedicineIntroduction: Dapagliflozin, a sodium-glucose transporter inhibitor, effectively reduces blood glucose and is indicated for individuals with kidney diseases and cardiovascular disorders. In this study, we further expand the therapeutic benefit of dapagliflozin in the neural and vascular retina, with the potential to effectively manage diabetic retinopathy (DR), the most common complication of diabetes. Research design and methods: Db/db mice, an animal model of type 2 diabetes, were treated with dapagliflozin orally, and the electroretinogram (ERG) response and acellular capillary numbers were assessed. Messenger RNA levels of inflammatory cytokines were studied using real-time quantitative (q)PCR. We assessed endothelial cell migration in a scratch wound assay and retinal glucose uptake using human retinal endothelial cells. Results: The dapagliflozin treatment improved the ERG b-wave amplitude and decreased acellular capillary numbers. The scratch wound assay demonstrated a reduction in wound closure after dapagliflozin treatment. Retinal glucose uptake reduced after dapagliflozin treatment compared with the respective controls. Conclusions: Our studies suggest that dapagliflozin treatment effectively corrects neural and vascular dysfunction of the retina in diabetes. This effect is mediated by a decrease in inflammation and improved glycemic control. In addition, dapagliflozin exhibits decreased wound healing and glucose uptake, which could benefit the retina. Thus, dapagliflozin could be helpful in the management of DR, with multimodal therapeutic effects.Item Diabetes Mellitus and Obesity as Risk Factors for Pancreatic Cancer(Elsevier, 2018-04) Eibl, Guido; Cruz-Monserrate, Zobeida; Korc, Murray; Petrov, Maxim S.; Goodarzi, Mark O.; Fisher, William E.; Habtezion, Aida; Lugea, Aurelia; Pandol, Stephen J.; Hart, Phil A.; Andersen, Dana K.; Medicine, School of MedicinePancreatic ductal adenocarcinoma (PDAC) is among the deadliest types of cancer. The worldwide estimates of its incidence and mortality in the general population are eight cases per 100,000 person-years and seven deaths per 100,000 person-years, and they are significantly higher in the United States than in the rest of the world. The incidence of this disease in the United States is more than 50,000 new cases in 2017. Indeed, total deaths due to PDAC are projected to increase dramatically to become the second leading cause of cancer-related deaths before 2030. Considering the failure to date to efficiently treat existing PDAC, increased effort should be undertaken to prevent this disease. A better understanding of the risk factors leading to PDAC development is of utmost importance to identify and formulate preventive strategies. Large epidemiologic and cohort studies have identified risk factors for the development of PDAC, including obesity and type 2 diabetes mellitus. This review highlights the current knowledge of obesity and type 2 diabetes as risk factors for PDAC development and progression, their interplay and underlying mechanisms, and the relation to diet. Research gaps and opportunities to address this deadly disease are also outlined.