The control of muscle glucose uptake (MGU) is distributed across delivery, transport, and phosphorylation of glucose. These steps have been defined as control points of MGU in vivo due to the application of isotopic tracer techniques to transgenic mouse models. Using these techniques in a classic study published in Diabetes, Fueger et al. demonstrated that overexpression in skeletal muscle of hexokinase II (HKII), the enzyme responsible for intracellular glucose phosphorylation, enhanced MGU in insulin-sensitive but not in insulin-resistant mice. Conversely, HKII overexpression enhanced MGU in insulin-resistant mice in response to exercise. Since exercise reduces barriers of glucose delivery and transport, this suggested that these two processes contribute to the dysregulation of MGU in insulin-resistant states. These fundamental findings have spurred subsequent studies highlighting the contribution of glucose delivery and transport to the regulation of MGU in health and disease.

Human-centric models of diabetic cardiomyopathy (DbCM) are needed to provide mechanistic insights and translationally relevant therapeutic targets for patients with diabetes. A systems biology approach using insulin resistant (IR) two-dimensional (2D) human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and three-dimensional (3D) engineered heart tissue (EHT) provides a comprehensive evaluation of dysregulated pathways and determines suitability as a translationally relevant model of DbCM. Culturing hiPSC-CMs in 2D or 3D EHT in IR media induced insulin resistance and activated multiple pathways implicated in DbCM, including metabolic remodeling, mitochondrial dysfunction, extracellular matrix remodeling, endoplasmic reticulum stress, and blunted response to hypoxia, as assessed using transcriptomics and proteomics. Metabolic flux measurements in both IR 2D and 3D platforms demonstrated increased fatty acid oxidation and lipid storage, whereas glucose metabolism was downregulated. Modeling DbCM in 3D EHTs conferred additional metabolic and functional advantages over the 2D hiPSC-CM, demonstrating impaired contractility and muscle architecture. Metformin treatment improved both contractility and metabolic function, demonstrating the utility of IR EHT for drug assessment. In conclusion, IR 2D and 3D hiPSC-CM models effectively capture key DbCM features. However, 3D EHT provides additional insights into physiological and structural modifications. This highlights the potential of IR EHT for both mechanistic studies and drug screening in DbCM.

Pancreatic β-cells can self-renew in the adult pancreas through replication, but the contribution of ductal progenitors to endocrine regeneration has been the subject of debate for two decades. While these mechanisms are not mutually exclusive, some lineage-tracing strategies suggest that intraductal endocrine cells cannot dynamically derive from ducts. Combining one such approach with a novel in vivo model in which live pancreatic slices are transplanted into the anterior chamber of the eye (ACE) of recipient mice, we show long-term growth of preexisting islets and real-time generation of neogenic insulin-expressing cells from ductal areas. Our results represent a departure from historical approaches to address these questions, which have been based on either static analyses of pancreatic tissue or "before and after" lineage-tracing designs. The slice-in-ACE model reveals the dynamic processes at play during regeneration and demonstrates the active formation of insulin-producing cells within the ductal network.

We investigated serum metabolites in monozygotic (MZ) and dizygotic (DZ) twins discordant for type 1 diabetes (T1D) to explore potential environmental factors, with a focus on differences in gut microbiota-associated metabolites that may influence T1D. Serum samples from 39 twins discordant for T1D were analyzed using a semi-targeted metabolomics approach via liquid chromatography-high-resolution tandem mass spectrometry. Statistical analyses identified significant metabolites (P < 0.1) within three groups: all twins (combined group [All]), MZ twins, and DZ twins. Thirteen metabolites exhibited significant differences between individuals with T1D and those without T1D. Across all groups, 3-indoxyl sulfate and 5-hydroxyindole were significantly reduced in individuals with T1D. Carnitine was reduced, and threonine, muramic acid, and 2-oxobutyric acid were significantly elevated in both All and MZ groups. Allantoin was significantly reduced and 3-methylhistidine was significantly elevated in All and DZ groups. These findings suggest metabolite dysregulation associated with gut dysbiosis was observed. However, further validation of our findings in a larger cohort is needed.

Type 1 diabetes (T1D) is caused by the selective autoimmune ablation of pancreatic β-cells. Emerging evidence reveals β-cell secretory dysfunction arises early in T1D development and may contribute to diseases etiology; however, the underlying mechanisms are not well understood. Our data reveal that proinflammatory cytokines elicit a complex change in the β-cell's Golgi structure and function. The structural modifications include Golgi compaction and loss of the interconnecting ribbon resulting in Golgi fragmentation. We further show that Golgi structural alterations coincide with persistent altered cell surface glycoprotein composition. Our data demonstrate that inducible nitric oxide synthase (iNOS)-generated nitric oxide (NO) is necessary and sufficient for β-cell Golgi restructuring. Moreover, the unique sensitivity of the β-cell to NO-dependent mitochondrial inhibition results in β-cell-specific Golgi alterations that are absent in other cell types, including α-cells. Examination of human pancreas samples from autoantibody-positive and T1D donors with residual β-cells further revealed alterations in β-cell, but not α-cell, Golgi structure that correlate with T1D progression. Collectively, our studies provide critical clues as to how β-cell secretory functions are specifically impacted by cytokines and NO that may contribute to the development of β-cell autoantigens relevant to T1D.

Long noncoding RNAs (lncRNAs) play essential roles in cellular processes, often exhibiting cell type-specific expression and influencing kidney function. While single-cell RNA sequencing (scRNA-seq) has advanced our understanding of cellular specificity, past studies focus solely on protein-coding genes. We hypothesize that lncRNAs, due to their cell-specific nature, have crucial functions within particular renal cells and thereby play essential roles in renal cell function and disease. Using single-nucleus RNA-seq (snRNA-seq) data from kidney samples of five healthy individuals and six patients with diabetic kidney disease (DKD), we explored the noncoding transcriptome. Cell type-specific lncRNAs were identified, and their differential expression in DKD was assessed. Integrative analyses included expression quantitative trait loci (eQTL), genome-wide association studies (GWAS) for estimated glomerular filtration rate (eGFR), and gene regulatory networks. Functional studies focused on TCF21 antisense RNA inducing promoter demethylation (TARID), a lncRNA with podocyte-specific expression, to elucidate its role in podocyte health. We identified 174 lncRNAs with cell type-specific expression across kidney cell types. Of these, 54 lncRNAs were differentially expressed in DKD. Integrative analyses, including eQTL data, GWAS results for eGFR, and gene regulatory networks, pinpointed TARID, a podocyte-specific lncRNA, as a key candidate upregulated in DKD. Functional studies confirmed TARID's podocyte-specific expression and revealed its central role in actin cytoskeleton reorganization. Our study provides a comprehensive resource of single-cell lncRNA expression in the human kidney and highlights the importance of cell type-specific lncRNAs in kidney function and disease. Specifically, we demonstrate the functional relevance of TARID in podocyte health.

Dorzagliatin is a dual-acting allosteric activator of glucokinase (GCK). Dorzagliatin improved second-phase insulin secretion in individuals with type 2 diabetes and heterozygous carriers of GCK mutations. We investigated the effects of dorzagliatin on pancreatic insulin, glucagon, and glucagon-like-peptide 1 (GLP-1) secretion in individuals with impaired glucose tolerance (IGT) and normal glucose tolerance (NGT). In a double-blind, randomized, crossover, single-dose study, 9 participants with IGT and 10 with NGT underwent 2-h 12 mmol/L hyperglycemic clamp following a single dose of dorzagliatin 50 mg or matched placebo. Plasma insulin, C-peptide, glucagon, and total GLP-1 levels were measured at regular intervals. There were no differences in first-phase insulin after the dorzagliatin dose in either group. Dorzagliatin significantly increased second-phase insulin secretion rate and β-cell glucose sensitivity by 1.3-fold compared with placebo in IGT but remained similar in NGT. Dorzagliatin increased basal plasma insulin in the NGT group only. Glucagon (area under the curve0-120 min = 161 ± 58 vs. 234 ± 70 pmol*min/L [mean ± SD]; P = 0.01) was suppressed after dorzagliatin in the NGT group but not the IGT group. Plasma glucagon was positively correlated with total GLP-1 levels. Dorzagliatin did not affect insulin sensitivity in either group. Dorzagliatin has different actions on β- and α-cells depending on glucose tolerance, increasing second-phase insulin secretion in IGT while enhancing glucose-suppression of glucagon secretion in NGT.

β-Cell extracellular vesicles (EVs) play a role as paracrine effectors in islet health, yet mechanisms connecting β-cell stress to changes in EV cargo and potential impacts on diabetes remain poorly defined. We hypothesized that β-cell inflammatory stress engages neutral sphingomyelinase 2 (nSMase2)-dependent EV formation pathways, generating ceramide-enriched small EVs that could impact surrounding β-cells. Consistent with this, proinflammatory cytokine treatment of INS-1 β-cells and human islets concurrently increased β-cell nSMase2 and ceramide abundance, as well as small EV ceramide species. Direct chemical activation or genetic knockdown of nSMase2, chemical treatment to inhibit cell death pathways, or treatment with a glucagon-like peptide-1 (GLP-1) receptor agonist also modulated β-cell EV ceramide. RNA sequencing of ceramide-enriched EVs identified a distinct set of miRNAs linked to β-cell function and identity. EV treatment from cytokine-exposed parent cells inhibited peak glucose-stimulated insulin secretion in wild-type recipient cells; this effect was abrogated when using EVs from nSMase2 knockdown parent cells. Finally, plasma EVs in children with recent-onset type 1 diabetes showed increases in multiple ceramide species. These findings highlight nSMase2 as a regulator of β-cell EV cargo and identify ceramide-enriched EV populations as a contributor to EV-related paracrine signaling under conditions of β-cell inflammatory stress and death.

We evaluated whether a binary metabolic end point for change (Δ) from baseline to 1-year postrandomization could be useful in type 1 diabetes (T1D) prevention trials. Using 2-h oral glucose tolerance testing data from the stage 1 participants in the recent abatacept prevention trial and similar participants in the observational TrialNet Pathway to Prevention (PTP) study, we assessed Δmetabolic measures, plotted glucose and C-peptide response curves, and categorized vectors for Δ from baseline to 1 year as metabolic treatment failure versus success. Analyses were validated using the teplizumab prevention study. PTP participants with Δglucose >0 and ΔC-peptide <0 from baseline to 1 year were at substantially higher risk for stage 3 T1D than those with Δglucose <0 and ΔC-peptide >0 (P < 0.0001). Based on this, we compared placebo versus treatment groups in both trials for failure (Δglucose >0 with ΔC-peptide <0) versus success (Δglucose <0 with ΔC-peptide >0) after 1 year. Using this end point, a favorable metabolic impact of abatacept was found after 12 months of treatment. An analytic approach using a binary metabolic end point of failure versus success at a fixed time interval appears to detect treatment effects at least as well as standard primary end points with shorter follow-up.

In mice, glucagon regulates lipid metabolism by activating receptors in the liver; however, its role in human lipid metabolism is incompletely understood. Here we describe three normal-weight individuals from a consanguineous family with early-onset hepatic steatosis and/or cirrhosis. Using exome sequencing, we found they were homozygous for two missense variants in the glucagon receptor gene (GCGR). In cells, the double GCGR mutation reduced cell membrane expression and signaling, resulting in an almost complete loss of function. Carriers of pathogenic GCGR mutations had substantially elevated circulating glucagon and amino acid levels and increased adiposity. Introducing the double GCGR mutation into human induced pluripotent stem cell-derived hepatocytes using CRISPR/Cas9 caused increased lipid accumulation. Our results provide an explanation for increased liver fat seen in clinical trials of GCGR antagonists and reduced liver fat in people with obesity and steatotic liver disease treated with GCGR agonists.

Pancreatic β-cells undergo senescence and loss during aging; however, the underlying mechanisms remain incompletely understood. This study aimed to investigate what sirtuin 6 (SIRT6) does during β-cell aging. Pancreatic β-cell-specific Sirt6 transgenic (TgSIRT6) mice were generated for this study. DNA damage, cell death, and cell proliferation were analyzed in cell and mouse models. SIRT6 protein levels were decreased in pancreatic β-cells during aging. TgSIRT6 mice exhibited less DNA damage and cell death, including apoptosis, necroptosis, and pyroptosis, in β-cells than control mice. TgSIRT6 mice had increased total islet area and mass in pancreas compared with control mice. As a result, TgSIRT6 mice showed better glucose tolerance and glucose-stimulated insulin secretion than control mice. RRAD and GEM-like GTPase 2 (REM2), an endogenouse inhibitor of high-voltage-activated calcium channels, was negatively regulated by SIRT6. Knockdown of Rem2 in INS-1 cells partially rescued the SIRT6 deficiency- and palmitic acid-induced DNA damage, lipid peroxidation, and cell death. Rem2 β-cell-specific knockout mice had less DNA damage and cell death in β-cells than control mice. Our data suggest that SIRT6 is a critical antiaging factor in pancreatic β-cells and is a potential therapeutic target.

Diabetic retinopathy (DR) is characterized by microvascular damage and increased vascular permeability in the retina. The investigation of visual outcomes in late-stage DR is limited by challenges of maintaining chronically hyperglycemic mice, and most reports are restricted to early-stage DR. In this study, we used carefully managed diabetic mice to longitudinally investigate associations between vascular leakage and visual acuity during early- and late-stage DR. Diabetes was induced in C57BL/6J mice with streptozotocin, and fluorescence angiography with dual fluorescence (FA-DF) was used to assess retinal vascular leakage dynamics in chronically hyperglycemic mice for 12 months. Retinal vascular leakage was evident 180 days after diabetes induction and before reduced visual acuity, measured using the optokinetic response, and vascular leakage continued to increase during DR progression. Mice were also treated with intravitreal injections of antiangiogenic aflibercept at late-stage DR, and reduced leakage was reliably measured using FA-DF and was associated with improved visual acuity. Inflammatory and vascular phenotypes were assessed using immunostaining, which revealed significantly lower retinal macrophage and vascular densities and reduced capillary diameter in association with anti-VEGF treatment compared with age-matched diabetic controls. In conclusion, this is the first longitudinal quantification of retinal vascular leakage in early, intermediate, and late stages of DR in the same cohort of mice in a minimally invasive fashion to demonstrate the associated effect of antiangiogenic therapy in vivo. Our findings also further confirmed the sensitivity of FA-DF in assessing retinal vascular leakage in conjunction with other functional measures in longitudinal studies in the same animals.

Maternal hyperglycemia is linked to 19 cord blood DNA methylation biomarkers that predict offspring metabolic dysfunction. These methylation changes, associated with maternal glycemic status, improved the prediction of β-cell dysfunction at 7, 11, and 18 years of age compared with clinical factors alone. Validation in human β-cells and pancreatic ductal epithelial cells confirmed that hyperglycemia influences methylation-dependent gene expression. These findings highlight the role of epigenetic modifications at birth as early indicators of diabetes risk, suggesting that in utero hyperglycemic exposure may mediate long-term metabolic outcomes in offspring.

Diabetes has a large medical and public health impact in American Indians. Studies have used genetic data to distinguish type 1 diabetes (T1D) and type 2 diabetes (T2D) and uncover biologic mechanisms underlying T2D clinical heterogeneity. We applied a T1D polygenic score (PS) to 3,084 American Indians (mean age 56 years, 58% women, 39% diabetes). We also calculated partitioned PS for eight clusters of T2D-associated variants and evaluated their association with 20 cardiometabolic traits and five clinical outcomes. The profile of T1D PS for individuals with diabetes was consistent with T2D. A total T2D PS was significantly associated with early age of T2D onset (P = 3.5 × 10-11). Partitioned PS for T2D clusters were significantly associated with cardiometabolic traits for the obesity cluster (increased measures of body fat and total triglycerides but lower HDL cholesterol), while the lipodystrophy cluster was associated with increased fasting insulin, waist-to-hip ratio, triglycerides, and blood pressure, and lower body fat percentage and HDL cholesterol. T2D clusters were not associated with cardiovascular and kidney outcomes. Our findings support a relationship of cluster-specific T2D partitioned PS with cardiometabolic traits described in other populations, but there are opportunities for developing improved clustering methods using genetic variation from American Indians.

This study aimed to investigate the relationship between the plasma lipidome and metabolic dysfunction-associated steatotic liver disease (MASLD) in type 2 diabetes. Initially, we conducted a plasma lipidome analysis using supercritical fluid chromatography-tandem mass spectrometry in 143 patients with type 2 diabetes with and without MASLD. Of the 349 lipid species identified, 13 had higher levels and a fold-change ≥2 in the MASLD group than in the non-MASLD group; 10 of these 13 lipids were triglycerides (TGs). The constituent fatty acid (FA) in TGs that exhibited the greatest difference between patients with and without MASLD was myristic acid (FA 14:0). The presence of MASLD was an independent explanatory factor for high FA 14:0 levels in TGs, even after adjusting for covariates. Next, we assessed whether the levels of lipids identified in the initial analysis were influenced by comprehensive diabetes treatment in 26 patients. After comprehensive diabetes treatment of 2 weeks, FA levels in many TGs significantly decreased; especially FA 14:0 levels, and this reduction was more pronounced in patients with MASLD. These results suggest that various plasma lipids, particularly TGs comprising FA 14:0, may be associated with the pathogenesis of MASLD in patients with type 2 diabetes.

Following the trends of the adult obesity epidemic, and worsened by school disruptions during the coronavirus disease 2019 pandemic, childhood obesity prevalence has reached unprecedented levels. The health implications for this generation are especially concerning, as childhood-onset obesity has more severe health consequences than weight gain that begins in adulthood, including increased risk of type 2 diabetes and diabetes-related complications. The complexity of obesity treatment has been challenging, including remarkable heterogeneity in obesity phenotypes and treatment responses among both adults and children. Many in the field have therefore highlighted a need for precision medicine approaches in obesity treatment across age-groups. This includes a need for precision risk stratification to better target treatment intensity, which will require a better understanding of the earliest stages of metabolic syndrome pathophysiology. The health, function, and distribution of adipose tissue have been established as important determinants of metabolic health in both childhood- and adult-onset obesity, making adipose tissue a promising target for understanding phenotypic heterogeneity in obesity. Here, we provide a brief overview of the current limited understanding of adipose tissue biology during childhood development and discuss opportunities for further research into adipose-centric precision medicine approaches in childhood-onset obesity and type 2 diabetes.

Diabetes triggers cell-type-specific responses in the retina, leading to vascular lesions, glial dysfunction, and neurodegeneration, all of which contribute to the progression of diabetic retinopathy (DR). However, the specific cell types involved in disease development and the molecular mechanisms driving their responses have not yet been fully clarified, impeding the creation of effective therapeutic strategies. Recent advancements in single-cell or single-nuclei transcriptomic technologies have provided a systematic approach to profile transcript-level alterations at single-cell resolution, allowing for an in-depth analysis of diabetes-induced retinal transcriptional changes across various animal models for DR. Here, in the context of research funded by the American Diabetes Association Pathway to Stop Diabetes program, we discuss the cell-type-specific responses in the neural retina identified through single-cell transcriptomic analyses. We emphasize new insights into neural retinal responses, potential therapeutic targets, and the limitations and unresolved topics that warrant further investigation. This article is part of a series of perspectives that report on research funded by the American Diabetes Association Pathway to Stop Diabetes program.

The "omnigenic" hypothesis postulates that polygenic effects of common variants on typical complex traits coalesce via trans effects on the expression of a relatively sparse set of "core" effector genes and their encoded proteins in relevant tissues. The objective of this study was to identify core proteins for type 1 diabetes. We used summary statistics for single nucleotide polymorphism associations with plasma levels of 5,130 proteins in three large cohorts, including the UK Biobank, to compute genome-wide aggregated trans effects (GATE) scores for protein levels in two type 1 diabetes case-control studies (6,828 case individuals, 416,000 control individuals). GATE scores for 27 proteins were associated with type 1 diabetes. Of these, 14 were replicated between data sets, 11 had support in Mendelian randomization analysis, and 9 had experimental support in mouse models of autoimmune diabetes. The strongest associations were for immune checkpoints (PDCD1, CD5, TIGIT, and LAG3), chemokines, and innate immune system proteins (NCR1 and KLRB1). While PDCD1 is a known cause of monogenic autoimmune diabetes, neither it nor most of the core proteins identified here were previously reported as genome-wide association study hits for type 1 diabetes. These results identify possible drug targets with genetic support for causality and suggest that programmed cell death protein 1 agonists under development for other indications should be trialed for type 1 diabetes prevention.