Fluctuations in the incidence of type 1 diabetes in the United States from 2001 to 2015: a longitudinal study

Regulatory T cell-based therapy in type 1 diabetes: Latest breakthroughs and evidence

Autoimmune diseases (ADs) are among the most significant health complications, with their incidence rising in recent years. Type 1 diabetes (T1D), an AD, targets the insulin-producing β cells in the pancreas, leading to chronic insulin deficiency in genetically susceptible individuals. Regulatory immune cells, particularly T-cells (Tregs), have been shown to play a crucial role in the pathogenesis of diabetes by modulating immune responses. In diabetic patients, Tregs often exhibit diminished effectiveness due to various factors, such as instability in forkhead box P3 (Foxp3) expression or abnormal production of the proinflammatory cytokine interferon-gamma (IFN-γ) by autoreactive T-cells. Consequently, Tregs represent a potential therapeutic target for diabetes treatment. Building on the successful clinical outcomes of chimeric antigen receptor (CAR) T-cell therapy in cancer treatment, particularly in leukemias, the concept of designing and utilizing CAR Tregs for ADs has emerged. This review summarizes the findings on Treg targeting in T1D and discusses the benefits and limitations of this treatment approach for patients suffering from T1D.

The epidemiology of type 1 diabetes mellitus in older adults

Although type 1 diabetes mellitus (T1DM) is traditionally viewed as a youth-onset disorder, the number of older adults being diagnosed with this disease is growing. Improvements in the average life expectancy of people with T1DM have also contributed to the growing number of older people living with this disease. We summarize the evidence regarding the epidemiology (incidence, prevalence and excess mortality) of T1DM in older adults (ages ≥60 years) as well as the genetics, immunology and diagnostic challenges. Several studies report an incidence peak of T1DM in older adults of a similar size to or exceeding that in children, and population prevalence generally increases with increasing age. Glutamic acid decarboxylase antibody positivity is frequently observed in adult-onset T1DM. Guidelines for differentiating T1DM from type 2 diabetes mellitus in older adults recommend measuring levels of C-peptide and autoantibodies, including glutamic acid decarboxylase antibodies. However, there is no gold standard for differentiating T1DM from type 2 diabetes mellitus in people aged 60 years and over. As such, the global variation observed in T1DM epidemiology might be in part explained by misclassification, which increases with increasing age of diabetes mellitus onset. With a growing global population of older adults with T1DM, improved genetic and immunological evidence is needed to differentiate diabetes mellitus type at older ages so that a clear epidemiological picture can emerge.

Relationships Among Stress, Diabetes Distress, and Biomarkers in Children with Type 1 Diabetes Mellitus from Diverse Income and Racial Backgrounds

INTRODUCTION

The purpose of this quantitative study was to consider factors that may negatively impact glycemic levels in Black and White children 8-12 years old with a diagnosis of type 1 diabetes mellitus.

METHOD

Perceived stress, diabetes distress, morning and afternoon salivary cortisol, inflammatory biomarkers, and hemoglobin A1c (HbA1c) were measured in this quantitative, cross-sectional phase of a larger, mixed methods study. Thirty-four children and their parents completed self-report surveys, and children provided blood and salivary samples, to examine effect sizes of relationships among variables of interest.

RESULTS

Most children did not meet ADA recommendations for HbA1c. HbA1c was higher in Black children. Medium-to-large effects were noted between perceived stress and HbA1c. Cortisol and IL-8 may mediate the relationship between perceived stress and HbA1c in children.

DISCUSSION

Understanding causes of elevated glycemic levels in children, especially from low-income and underrepresented populations, may help tailor diabetes management interventions to improve health outcomes.

Evolving understanding of autoimmune mechanisms and new therapeutic strategies of autoimmune disorders

Autoimmune disorders are characterized by aberrant T cell and B cell reactivity to the body's own components, resulting in tissue destruction and organ dysfunction. Autoimmune diseases affect a wide range of people in many parts of the world and have become one of the major concerns in public health. In recent years, there have been substantial progress in our understanding of the epidemiology, risk factors, pathogenesis and mechanisms of autoimmune diseases. Current approved therapeutic interventions for autoimmune diseases are mainly non-specific immunomodulators and may cause broad immunosuppression that leads to serious adverse effects. To overcome the limitations of immunosuppressive drugs in treating autoimmune diseases, precise and target-specific strategies are urgently needed. To date, significant advances have been made in our understanding of the mechanisms of immune tolerance, offering a new avenue for developing antigen-specific immunotherapies for autoimmune diseases. These antigen-specific approaches have shown great potential in various preclinical animal models and recently been evaluated in clinical trials. This review describes the common epidemiology, clinical manifestation and mechanisms of autoimmune diseases, with a focus on typical autoimmune diseases including multiple sclerosis, type 1 diabetes, rheumatoid arthritis, systemic lupus erythematosus, and sjögren's syndrome. We discuss the current therapeutics developed in this field, highlight the recent advances in the use of nanomaterials and mRNA vaccine techniques to induce antigen-specific immune tolerance.

Unravelling the Role of Gut and Oral Microbiota in the Pediatric Population with Type 1 Diabetes Mellitus

Type 1 Diabetes Mellitus (T1DM) is a chronic autoimmune disease that results in the destruction of pancreatic β cells, leading to hyperglycaemia and the need for lifelong insulin therapy. Although genetic predisposition and environmental factors are considered key contributors to T1DM, the exact causes of the disease remain partially unclear. Recent evidence has focused on the relationship between the gut, the oral cavity, immune regulation, and systemic inflammation. In individuals with T1DM, changes in the gut and oral microbial composition are commonly observed, indicating that dysbiosis may contribute to immune dysregulation. Gut dysbiosis can influence the immune system through increased intestinal permeability, altered production of short chain fatty acids (SCFAs), and interactions with the mucosal immune system, potentially triggering the autoimmune response. Similarly, oral dysbiosis may contribute to the development of systemic inflammation and thus influence the progression of T1DM. A comprehensive understanding of these relationships is essential for the identification of biomarkers for early diagnosis and monitoring, as well as for the development of therapies aimed at restoring microbial balance. This review presents a synthesis of current research on the connection between T1DM and microbiome dysbiosis, with a focus on the gut and oral microbiomes in pediatric populations. It explores potential mechanisms by which microbial dysbiosis contributes to the pathogenesis of T1DM and examines the potential of microbiome-based therapies, including probiotics, prebiotics, synbiotics, and faecal microbiota transplantation (FMT). This complex relationship highlights the need for longitudinal studies to monitor microbiome changes over time, investigate causal relationships between specific microbial species and T1DM, and develop personalised medicine approaches.

Decoding the immune dance: Unraveling the interplay between beta cells and type 1 diabetes

BACKGROUND

Type 1 diabetes (T1D) is an autoimmune disease characterized by the specific destruction of insulin-producing beta cells in the pancreas by the immune system, including CD4 cells which orchestrate the attack and CD8 cells which directly destroy the beta cells, resulting in the loss of glucose homeostasis.

SCOPE OF REVIEW

This comprehensive document delves into the complex interplay between the immune system and beta cells, aiming to shed light on the mechanisms driving their destruction in T1D. Insights into the genetic predisposition, environmental triggers, and autoimmune responses provide a foundation for understanding the autoimmune attack on beta cells. From the role of viral infections as potential triggers to the inflammatory response of beta cells, an intricate puzzle starts to unfold. This exploration highlights the importance of beta cells in breaking immune tolerance and the factors contributing to their targeted destruction. Furthermore, it examines the potential role of autophagy and the impact of cytokine signaling on beta cell function and survival.

MAJOR CONCLUSIONS

This review collectively represents current research findings on T1D which offers valuable perspectives on novel therapeutic approaches for preserving beta cell mass, restoring immune tolerance, and ultimately preventing or halting the progression of T1D. By unraveling the complex dynamics between the immune system and beta cells, we inch closer to a comprehensive understanding of T1D pathogenesis, paving the way for more effective treatments and ultimately a cure.

Identification of Immune Checkpoint Inhibitor-Induced Diabetes

Importance

Immune checkpoint inhibitors (ICIs) have revolutionized cancer care; however, accompanying immune-related adverse events (irAEs) confer substantial morbidity and occasional mortality. Life-threatening irAEs may require permanent cessation of ICI, even in patients with positive tumor response. Therefore, it is imperative to comprehensively define the spectrum of irAEs to aid individualized decision-making around the initiation of ICI therapy.

Objective

To define incidence, risk factors, and clinical spectrum of an irreversible and life-threatening irAE: ICI-induced diabetes.

Design, Setting, and Participants

This cohort study, conducted at an academic integrated health care system examined 14 328 adult patients treated with ICIs, including 64 patients who developed ICI-induced diabetes, from July 2010 to January 2022. The data were analyzed from 2022 to 2023. Cases of ICI-induced diabetes were manually confirmed; detailed clinical phenotyping was performed at diagnosis and 1-year follow-up. For 862 patients, genotyping data were available, and polygenic risk for type 1 diabetes was determined.

Main Outcomes and Measures

For ICI-induced diabetes cases and controls, demographic characteristics, comorbidities, tumor category, and ICI category were compared. Among ICI-induced diabetes cases, markers of glycemic physiology were examined at diagnosis and 1-year follow-up. For patients with available genotyping, a published type 1 diabetes polygenic score (T1D GRS2) was calculated.

Results

Of 14 328 participants, 6571 (45.9%) were women, and the median (range) age was 66 (8-106) years. The prevalence of ICI-induced diabetes among ICI-treated patients was 0.45% (64 of 14 328), with an incidence of 124.8 per 100 000 person-years. Preexisting type 2 diabetes (odds ratio [OR], 5.91; 95% CI, 3.34-10.45) and treatment with combination ICI (OR, 2.57; 95% CI, 1.44-4.59) were significant clinical risk factors of ICI-induced diabetes. T1D GRS2 was associated with ICI-induced diabetes risk, with an OR of 4.4 (95% CI, 1.8-10.5) for patients in the top decile of T1D GRS2, demonstrating a genetic association between spontaneous autoimmunity and irAEs. Patients with ICI-induced diabetes were in 3 distinct phenotypic categories based on autoantibodies and residual pancreatic function, with varying severity of initial presentation.

Conclusions and Relevance

The results of this analysis of 14 328 ICI-treated patients followed up from ICI initiation determined the incidence, risk factors and clinical spectrum of ICI-induced diabetes. Widespread implementation of this approach across organ-specific irAEs may enhance diagnosis and management of these conditions, and this becomes especially pertinent as ICI treatment rapidly expands to treat a wide spectrum of cancers and is used at earlier stages of treatment.

Evaluation of a New Diabetes Mellitus Index Based on Measurements Using the Scheimpflug Analyzer Corvis ST

PURPOSE

Chronic hyperglycemia causes changes in corneal biomechanics that can be measured with the Scheimpflug Analyzer Corvis ST. The diagnostic reliability of the new diabetes mellitus (DM) index developed based on this should be evaluated.

METHODS

In a prospective cross-sectional study, the index was initially developed using data from 81 patients with DM and 75 healthy subjects based on logistic regression analysis. The reliability of the DM index was subsequently assessed using data from another 61 patients and 37 healthy individuals. In addition, the dependence of the DM index on indicators of disease severity was analyzed.

RESULTS

The index initially achieved a sensitivity of 79% and specificity of 80% with a cutoff value of 0.58. The evaluation showed a sensitivity of 67% and specificity of 76% with an optimized cutoff of 0.51 (area under the curve = 0.737, P < 0.001). The DM index correlated weakly with the severity of diabetic retinopathy (r = 0.209, P = 0.014). It was increased in the presence of diabetic maculopathy (P = 0.037) and in type 1 DM compared with patients with type 2 disease (P = 0.039).

CONCLUSIONS

In this first evaluation, the new DM index achieved sufficiently good sensitivity and specificity and was weakly associated with disease-specific factors. With further improvements, it could complement the diagnostic options in DM with a simple, rapid, and noninvasive assessment method.

Longitudinal Analysis of Bone Metabolic Markers and Bone Mechanical Properties in STZ-Induced Diabetic Rats

Background: This longitudinal study examined the early effects of type 1 diabetes on bone mechanical properties and metabolic markers in mature rats, focusing on the natural progression of diabetes-induced changes without external treatments. Methods: Forty-eight 8-month-old male Wistar rats were divided into two groups, with one group receiving a single dose of streptozotocin (STZ, 60 mg/kg). Assessments were performed 2, 4, and 8 weeks post-administration, including serum biochemical analyses, bone marker assessments, and mechanical bone tests. The data were analyzed using two-way ANOVA to evaluate the impact of time and treatment. Results: At 2 weeks, diabetic rats showed increased fasting blood glucose (p < 0.001), decreased insulin levels (p = 0.03), and changes in HOMA markers (p < 0.001), liver enzymes (p < 0.001), inflammatory markers (p < 0.001), and bone metabolism markers (osteocalcin (p < 0.001), OPG (p = 0.006), RANKL (p < 0.001), and OPG/RANKL ratio (p < 0.001)), with initial alterations in bone geometry. By week 4, decreased body weight in the diabetic group (p < 0.001) led to further changes in bone geometry and initial differences in mechanical properties. At 8 weeks, significant declines in body (p < 0.001) and bone (p < 0.001) weights were observed, along with further deterioration in bone geometry and mechanical properties. Conclusions: The study highlights the significant impact of STZ-induced diabetes on bone health as early as two weeks post-STZ administration, with marked temporal changes in biochemical markers and mechanical properties.

Consensus guidance for monitoring individuals with islet autoantibody-positive pre-stage 3 type 1 diabetes

Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk of (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings. To inform this monitoring, JDRF in conjunction with international experts and societies developed consensus guidance. Broad advice from this guidance includes the following: (1) partnerships should be fostered between endocrinologists and primary-care providers to care for people who are IAb+; (2) when people who are IAb+ are initially identified there is a need for confirmation using a second sample; (3) single IAb+ individuals are at lower risk of progression than multiple IAb+ individuals; (4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; (5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and (6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasises significant unmet needs for further research on early-stage type 1 diabetes to increase the rigour of future recommendations and inform clinical care.

Consensus Guidance for Monitoring Individuals With Islet Autoantibody-Positive Pre-Stage 3 Type 1 Diabetes

Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programs are being increasingly emphasized. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk for (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in nonspecialized settings. To inform this monitoring, JDRF, in conjunction with international experts and societies, developed consensus guidance. Broad advice from this guidance includes the following: 1) partnerships should be fostered between endocrinologists and primary care providers to care for people who are IAb+; 2) when people who are IAb+ are initially identified, there is a need for confirmation using a second sample; 3) single IAb+ individuals are at lower risk of progression than multiple IAb+ individuals; 4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; 5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and 6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasizes significant unmet needs for further research on early-stage type 1 diabetes to increase the rigor of future recommendations and inform clinical care.

Recommendations for Screening and Monitoring the Stages of Type 1 Diabetes in the Immune Therapy Era

Type 1 diabetes (T1D) is a complex, chronic autoimmune disease that affects over 1.6 million people in the United States. It is now understood that T1D may be undetected for many years while the disease progresses quietly without producing symptoms. T1D can be identified through diabetes-related autoantibody screening and staged accordingly, enabling healthcare providers to identify high-risk individuals in the early stages of the disease and either provide a stage-specific intervention or offer clinical trial opportunities to preserve beta cell function and anticipate the onset of clinical T1D. Evidence-based clinical practice guidelines currently do not exist for routine diabetes-related autoantibody screening of individuals at risk of developing T1D or of the general population. The purpose of this article is to help clinicians acquire an understanding of the rationale and protocols recommended for identifying patients at risk of developing T1D and monitoring such patients for autoimmune markers and progression of disease from Stage 1 to Stage 3 (clinical disease).

The Association of Adiposity and RAAS with Incident Diabetes in African Americans: The Jackson Heart Study

BACKGROUND

The renin-angiotensin-aldosterone system (RAAS) and adiposity measures are independently associated with the development of diabetes in African American (AA) adults. However, studies have not examined the combined interaction between RAAS and adiposity measures in relation to diabetes risk in AA adults.

OBJECTIVE

We examined the longitudinal association of combined RAAS and adiposity measures with incident diabetes among AAs in the Jackson Heart Study.

METHODS

AA adults were assessed at baseline (2000-2004) and over 12 years of follow-up. RAAS, anthropometric (waist circumference [WC], body mass index [BMI]) and adipokine (adiponectin, leptin, leptin: adiponectin ratio [LAR]) measures were collected at baseline. Aldosterone, WC, and LAR were chosen as the best predictor variables. The final model, adjusting for age, sex, education, occupation, systolic blood pressure, smoking, physical activity and RAAS altering medications, incorporated these variables and their interactions (WC*Aldosterone + LAR*Aldosterone) to explore their impact on incident diabetes.

RESULTS

Among 3,220 participants without diabetes at baseline, there were 554 incident cases over a median follow-up of 7.5 years. Aldosterone, WC, and LAR were positively associated with incident diabetes (all p < 0.05). A significant interaction was found between WC and aldosterone with a greater association among individuals with lower WC. This interaction was significant in participants with prediabetes but not in those with normoglycemia. No significant interaction was found between log-LAR and aldosterone with risk of incident diabetes.

CONCLUSION

Higher aldosterone in participants is associated with greater risk of diabetes, particularly among individuals with prediabetes and lower WC.

Age at onset of type 1 diabetes between puberty and 30 years old is associated with increased diabetic nephropathy risk

Diabetic nephropathy is a critical complication of patients with type 1 diabetes, while epidemiological studies were scarce among Asian countries. We conducted a cross-sectional study to identify factors associated with diabetic nephropathy by questionnaires, using student's t-test, chi-square test, and multivariable logistic regression. Among 898 participants, 16.7% had diabetic nephropathy. Compared with non-diabetic nephropathy patients, the patients with diabetic nephropathy had significantly higher percentage with onset age of type 1 diabetes between puberty and under 30 years old (female ≥ 12 or male ≥ 13 years old to 29 years old), longer diabetes duration, having family history of diabetes and diabetic nephropathy, accompanied with hypertension, hyperlipidemia, or coronary artery disease (CAD). Compared with patients with onset age before puberty, the odds of diabetic nephropathy occurrence increased to 1.61 times in patients with onset age between puberty and under 30 years old (p = 0.012) after adjusting diabetes duration. Age of diabetes onset between puberty and under 30 years old, diabetes duration, HbA1c, hospital admission within 3 years, diabetic retinopathy, hypertension, systolic blood pressure (SBP), triglyceride levels, and use of angiotensin converting enzyme inhibitor (ACEI) and/or angiotensin receptor blockers (ARB) were independent factors associated with diabetic nephropathy Screening for proteinuria is important in daily clinical practice and should be part of diabetes self-management education for patients with type 1 diabetes.

Optical Coherence Tomography Measurements in Type 1 Diabetic Subjects with Low and Moderate Daily Physical Activity

Background: Physical activity is nowadays recognized as a protective factor against cardiovascular conditions, being cost-effective and easy to implement. Through its positive effects on hemodynamic and oxidative stress, different intensities in daily physical activity could influence diabetic macular edema (DME) in type 1 Diabetes Mellitus (DM). Methods: With the help of a spectral domain optical coherence tomography (OCT) device, we studied the macular thickness and ETDRS map parameters in type 1 DM patients who were classified into two groups: low and moderate intensity routine physical activity status, using the international physical activity questionnaire (IPAQ). All subjects received comparable anti-VEGF treatment. Results: Having a long disease evolution, patients with type 1 DM (T1DM) with moderate physical activity displayed better OCT measurements in specific retinal sectors than their counterparts with low physical activity. Variables such as age and body mass index (BMI) can influence the level of physical activity in T1DM patients. Conclusions: This study showed a lower prevalence of DME in T1DM subjects with moderate physical activity levels, revealing lower values for ETDRS OCT parameters in specific retinal sectors. The macular volumes (mm3) were significantly lower in the right eye for this group of subjects. Abbreviations: BMI = body mass index, CMT = central macular thickness, DM = diabetes mellitus, DME = diabetic macular edema, DR = diabetic retinopathy, FT = foveal thickness, II = inferior inner thickness, IO = inferior outer thickness, IPAQ = international physical activity questionnaire, LE = left eye, OCT = optical coherence tomography, MMT = maximal macular thickness, mMT = minimal macular thickness, MV = macular volume, NI = nasal inner thickness, NO = nasal outer thickness, QoL = quality of life, RE = right eye, SI = superior inner thickness, SO = superior outer thickness, T1DM = type 1 diabetes mellitus, T2DM = type 2 diabetes mellitus, TI = temporal inner thickness, TO = temporal outer thickness.

Utility of genetic risk scores in type 1 diabetes

Iterative advances in understanding of the genetics of type 1 diabetes have identified >70 genetic regions associated with risk of the disease, including strong associations across the HLA class II region that account for >50% of heritability. The increased availability of genetic data combined with the decreased costs of generating these data, have facilitated the development of polygenic scores that aggregate risk variants from associated loci into a single number: either a genetic risk score (GRS) or a polygenic risk score (PRS). PRSs incorporate the risk of many possibly correlated variants from across the genome, even if they do not reach genome-wide significance, whereas GRSs estimate the cumulative contribution of a smaller subset of genetic variants that reach genome-wide significance. Type 1 diabetes GRSs have utility in diabetes classification, aiding discrimination between type 1 diabetes, type 2 diabetes and MODY. Type 1 diabetes GRSs are also being used in newborn screening studies to identify infants at risk of future presentation of the disease. Most early studies of type 1 diabetes genetics have been conducted in European ancestry populations, but, to develop accurate GRSs across diverse ancestries, large case-control cohorts from non-European populations are still needed. The current barriers to GRS implementation within healthcare are mainly related to a lack of guidance and knowledge on integration with other biomarkers and clinical variables. Once these limitations are addressed, there is huge potential for 'test and treat' approaches to be used to tailor care for individuals with type 1 diabetes.

Disrupted Pediatric Diabetes Trends in the Second Year of the COVID-19 Pandemic

Context

Increases in incident cases of pediatric type 1 (T1D) and type 2 diabetes (T2D) were observed during the first year of the COVID-19 pandemic.

Objective

This work aimed to identify trends in incidence and presentation of pediatric new-onset T1D and T2D during the second year of the COVID-19 pandemic.

Methods

A retrospective chart review was conducted. Demographics, anthropometrics, and initial laboratory results from patients aged 0 to 21 years who presented with new-onset diabetes to a pediatric tertiary care center were recorded.

Results

The incident cases of T1D (n = 46) and T2D (n = 46) in 2021-2022 (second year of the pandemic) were consistent with the incident cases of T1D (n = 46) and T2D (n = 53) in 2020 to 2021 (first year of the pandemic). Compared to the incident cases of diabetes in the prepandemic years, in the second year, the incident cases of T1D increased 48%, and the incident cases of T2D increased 188%. In the second year of the pandemic, incident cases of T2D represented half (50%) of all newly diagnosed pediatric diabetes cases. Patients with T2D were more likely to present in diabetic ketoacidosis, though this was not statistically significant (P = .08).

Conclusion

The increase in incident cases of pediatric T1D and T2D observed during the first year of the COVID-19 pandemic persisted during the second pandemic year. This suggests that despite pediatric vaccination efforts and return to social in-person activities, we may continue to see effects of the pandemic on pediatric diabetes trends.

Characteristics of adult-onset auto-immune type 1 diabetes

BACKGROUND

Classically described as a disease of childhood and adolescence, diabetes mellitus type 1 (T1DM) can occur in adulthood. Adult-onset T1DM is poorly documented and is often misdiagnosed. This study aims to describe the epidemiological aspect of T1DM with adult-onset and detail its clinical, paraclinical, and therapeutic characteristics.

MATERIALS AND METHODS

A 9-year retrospective longitudinal study (2011-2019) was conducted including adult patients (age >20 years) with confirmed diabetes and at least one of the auto-antibodies (auto-Abs) to glutamic-acid-decarboxylase (GAD), to islet-tyrosine-phosphatase 2 (IA2) or islet-cell-antibodies (ICA) positive.

RESULTS

A total of 166 patients were included (sex-ratio M/F: 1.34; mean age: 28.6 years [20-56 years]). At the onset, 50.6% of patients presented with diabetic ketosis and 13.3% with diabetic ketoacidosis. Cardinal symptoms of diabetes were present in 30.7% of patients only at diagnosis, while the discovery was fortuitous in 5.4% of cases. 27.7% of patients developed an additional auto-immune disease mainly autoimmune thyroid disease. The risk of developing another AUTO-IMMUNE DISEASE was highest in females (p = 0.010) and increased with age (p = 0.011). GAD-Abs, IA2-Abs, and ICA were positive in 98.2%, 13.3%, and 17.4% of cases respectively. Only GAD-Abs were found positive in 73.1%. Upon diagnosis, 75.9% of patients were treated with insulin, while 24.1% of patients were initially put on oral anti-diabetic drugs before requiring insulin within an average of 7.42 months.

CONCLUSIONS

Adult-onset T1DM has a different clinical course (slower onset, less abrupt symptoms, more insidious presentation, and more prolonged progression to insulin) that has to be known. Misdiagnosis of adult-onset T1DM can have serious consequences.

Clinical and biochemical profile of childhood-adolescent-onset type 1 diabetes and adult-onset type 1 diabetes among Asian Indians

AIM

To compare the clinical and biochemical profile and prevalence of complications among childhood/adolescent-onset (CAO; onset of diabetes< 20 years of age) and adult-onset (AO; onset of diabetes- ≥ 20 years of age) type 1 diabetes (T1D), seen at a tertiary care diabetes center in south India.

METHOD

Data of 5578 individuals with T1D, diagnosed based on a history of diabetic ketoacidosis or ketonuria, fasting C-peptide < 0.3 pmol/mL and stimulated C-peptide values < 0.6 pmol/mL, and requirement of insulin right from the time of diagnosis, presenting to our center between 1991 and 2021, were retrieved from our electronic medical records. Retinopathy was assessed by retinal photography, chronic kidney disease (CKD) by urinary albumin excretion ≥ 30 µg/mg of creatinine and/or eGFR < 60 mL/min, and neuropathy by vibration perception threshold >= 20v on biothesiometry.

RESULTS

Overall, 3559 (63.8%) of individuals with T1D, belonged to CAO group and 2019 (36.2%) to AO category. AO had higher prevalence of all microvascular complications compared to CAO at every diabetes duration interval, even after adjusting for A1c. Among the AO group, prevalence of retinopathy, CKD, and neuropathy was higher in the GAD negative group. Among CAO there were no differences between the GAD negative and GAD positive groups with respect to prevalence of complications of diabetes.

CONCLUSION

AO with T1D had higher prevalence of microvascular complications compared to CAO. Among AO, GAD negative individuals had higher percentage of retinopathy and CKD compared to GAD positive group.

Infant gut microbiome composition correlated with type 1 diabetes acquisition in the general population: the ABIS study

AIMS/HYPOTHESIS

While autoantibodies are traditional markers for type 1 diabetes development, we identified gut microbial biomarkers in 1-year-old infants associated with future type 1 diabetes up to 20 years before diagnosis.

METHODS

Infants enrolled in the longitudinal general population cohort All Babies In Southeast Sweden (ABIS) provided a stool sample at a mean age of 12.5 months. Samples (future type 1 diabetes, n=16; healthy controls, n=268) were subjected to 16S ribosomal RNA (rRNA) sequencing and quantitative PCR. Microbial differences at the taxonomic and core microbiome levels were assessed. PICRUSt was used to predict functional content from the 16S rRNA amplicons. Sixteen infants, with a future diagnosis of type 1 diabetes at a mean age of 13.3±5.4 years, and one hundred iterations of 32 matched control infants, who remained healthy up to 20 years of age, were analysed.

RESULTS

Parasutterella and Eubacterium were more abundant in healthy control infants, while Porphyromonas was differentially more abundant in infants with future type 1 diabetes diagnosis. Ruminococcus was a strong determinant in differentiating both control infants and those with future type 1 diabetes using random forest analysis and had differing trends of abundance when comparing control infants and those with future type 1 diabetes. Flavonifractor and UBA1819 were the strongest factors for differentiating control infants, showing higher abundance in control infants compared with those with future type 1 diabetes. Alternatively, Alistipes (more abundant in control infants) and Fusicatenibacter (mixed abundance patterns when comparing case and control infants) were the strongest factors for differentiating future type 1 diabetes. Predicted gene content regarding butyrate production and pyruvate fermentation was differentially observed to be higher in healthy control infants.

CONCLUSIONS/INTERPRETATION

This investigation suggests that microbial biomarkers for type 1 diabetes may be present as early as 1 year of age, as reflected in the taxonomic and functional differences of the microbial communities. The possibility of preventing disease onset by altering or promoting a 'healthy' gut microbiome is appealing.

DATA AVAILABILITY

The forward and reverse 16S raw sequencing data generated in this study are available through the NCBI Sequence Read Archive under BioProject PRJNA875929. Associated sample metadata used for statistical comparison are available in the source data file. R codes used for statistical comparisons and figure generation are available at: https://github.com/PMilletich/T1D_Pipeline .

Incidence of type 1 diabetes mellitus in Asturias (Spain) between 2011 and 2020

INTRODUCTION

Type 1 diabetes mellitus (DM1) is a chronic disease with important socio-health repercussions that requires epidemiological information for proper health management. The aim of this study was to determine the incidence of DM1 in Asturias between 2011-2020.

METHODS

Descriptive study which included diagnoses of DM1 in Asturias between 2011-2020 captured as a primary source by reviewing the register of pancreatic autoimmunity analysis. Incidence rates were estimated, expressed per 100,000 population-years of risk by age group, sex, and health area.

RESULTS

A total of 815 patients were diagnosed, 53.13% men. The mean age was 34.32±22.07 years; 9.85±4.46 in children under 19 years of age (10.48±4.45 in males and 9.00±4.36 in females). Of the diagnoses, 55.34% occurred at an age over 30 years. The incidence was 7.82 (7.29-8.37); 19.65 (17.17-22.39) in under 15s and 12.84 (11.73-14.03) in under 40s. The maximum incidence peak was between 10-14 years, both in males 31.16 (23.89-39.95) and in females 21.72 (15.59-29.47). There was no significant increase in incidence over the years studied.

CONCLUSIONS

Asturias has a high incidence of DM1. In our study no earlier age at diagnosis was observed or an increase in incidence. Compared to previous studies, the increase in incidence is most likely due to an improvement in data capture, not to a real increase in incidence. A high percentage of diagnoses occur in adulthood.

Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019

BACKGROUND

This study investigated the trends of insulin use among Korean patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Changes in prescription of antidiabetic medications in T2DM patients taking insulin therapy were evaluated.

METHODS

We analyzed data from the National Health Insurance Service database in Korea to evaluate the prevalence of insulin users and trends of insulin use in T1DM and T2DM patients from January 2002 to December 2019. We also investigated numbers and types of antidiabetic medications in insulin users with T2DM.

RESULTS

The overall total number of insulin users increased from 2002 to 2019, reaching 348,254 for T2DM and 20,287 for T1DM in 2019 compared with 109,974 for T2DM and 34,972 for T1DM in 2002. The proportion of patients using basal analogs and short acting analogs have increased and those using human insulin, premixed insulin, or biphasic human insulin have decreased (rapid acting analogs: 71.85% and 24.12% in T1DM and T2DM, respectively, in 2019; basal analogs: 76.75% and 75.09% in T1DM and T2DM, respectively, in 2019). The use of other antidiabetic medication in addition to insulin increased for T2DM, especially in dual therapy, reaching up to 52.35% in 2019 compared with 16.72% in 2002.

CONCLUSION

The proportion of the patients using basal or rapid acting analogs increased among all insulin users in both T1DM and T2DM patients. Among patients with T2DM, the proportion of patients using antidiabetic medications in addition to insulin was significantly increased compared to those who used insulin alone.

Trends in incidence rates of childhood type 1 diabetes mellitus: A retrospective study in Isfahan province, Iran

AIMS/INTRODUCTION

We aimed to determine the incidence trend of childhood type 1 diabetes mellitus in Isfahan province over a period of 12 years.

MATERIALS AND METHODS

In this retrospective study, children aged <20 years at the time of type 1 diabetes mellitus diagnosis, from March 2007 to March 2019, were included. The crude and adjusted incidence rate of type 1 diabetes mellitus is calculated as the number of cases per 100,000 person-years by the period. The cumulative, age- and sex-specific incidence rates were also calculated. Age-specific incidence rates were calculated for age and sex groups.

RESULTS

A total of 1,954 (983 boys and 971 girls) cases of type 1 diabetes mellitus were identified. The mean age at diagnosis in all studied populations was 9.89 (standard deviation 4.76). There were no significant differences between the proportion of boys and girls in different years (P = 0.12) and different age groups (P = 0.19). The average annual percent change of incidence rate for the total population, for girls and boys, was 6.9%, 6.7% and 6.3% respectively. The type 1 diabetes mellitus incidence rate had a significant trend to be increased from 2007 to 2019 (P < 0.001, t = 3.6).

CONCLUSION

Our findings showed that currently our region is considered a region with a high incidence rate of type 1 diabetes mellitus. Although we have had fluctuations in the incidence rate over the 12 years, the overall trend is increasing.

Cardiovascular outcomes in type 1 and type 2 diabetes

Diabetes is one of the most prevalent cardiometabolic disorders on the planet. Type 1 diabetes accounts for only a minority of all cases (recently estimated to be ~2% globally); however, since this is a disorder with an early onset, many people live with type 1 diabetes for a long time. CVD and premature death are the main long-term outcomes for both types of diabetes; however, the type of diabetes that carries the highest risk of these outcomes is a controversial topic and has not been widely studied. Because of the association between diabetes and CVD, the rise in type 2 diabetes prevalence over the past decades has huge effects on global health. The excess risk in people with diabetes compared with those without depends, to a large extent, on the presence of other factors, such as general cardiovascular risk factors (e.g. elevated LDL-cholesterol, hypertension and smoking) and also factors that are more specific to diabetes (e.g. HbA1c, and micro- and macroalbuminuria). Some contributory factors are modifiable, while others are not, such as age, sex and type of diabetes. Older people with type 2 diabetes who have risk factors that are under control can achieve levels of CVD risk that are similar to that of the general population, while younger individuals with type 1 diabetes are mostly unable to achieve similar levels of risk, probably because of long and cumulative exposure to raised blood glucose levels. Despite reports of declining rates of CVD among people with type 1 and type 2 diabetes, rising rates of both types of diabetes lead to a continuing rise in the number of people with cardiometabolic disorders worldwide, offsetting the progress made in many countries. Comparison between individuals with type 1 and type 2 diabetes with respect to risk of CVD is fraught with difficulties and highly dependent on other, concomitant factors, some of which are modifiable and others not. Nonetheless, as a whole, what matters most in determining the management of diabetes is absolute risk and lifetime risk. Life-long efforts to achieve glycaemic control, control of lipids and hypertension, and not smoking are key to prevention, with a healthy lifestyle and pharmacological therapy to be implemented as needed.

Incidence of Childhood Type 1 Diabetes in Beijing During 2011-2020 and Predicted Incidence for 2025-2035: A Multicenter, Hospitalization-Based Study

INTRODUCTION

China has a low incidence of type 1 diabetes mellitus (T1DM); however, based on the large population, the absolute numbers are high. Our aim was to assess the incidence of childhood T1DM in Beijing during 2011-2020, predicted incidence for 2025-2035, and to determine the incidence of diabetic ketosis or diabetic ketoacidosis (DK/DKA) in this population.

METHODS

Data on patients aged less than 15 years of age with newly diagnosed T1DM between January 1, 2011 and December 31, 2020 was obtained from five tertiary hospitals in Beijing and retrospectively analyzed.

RESULTS

In all, 636 children aged less than 15 years were diagnosed with T1DM during 2011-2020. The incidence of T1DM was 3.11-5.46 per 100,000 per year, with an average increase of 5.10% per year. The age-specific incidence for ages 0-4 years, 5-9 years, and 10-14 years was 2.97, 4.69, and 4.68 per 100,000 per year, respectively. The highest average annual increase (7.07%) in incidence was for the youngest age group. DK or DKA was present at the time of diagnosis of T1DM in 84.6% of patients. The age-specific incidence of T1DM among children aged less than 15 years was predicted to be 7.32, 11.4, and 11.52 per 100,000 in 2035 for ages 0-4 years, 5-9 years, and 10-14 years, respectively.

CONCLUSIONS

The was a gentle increase in the incidence of childhood T1DM during 2011-2020 in Beijing. This increase is expected to continue for the next 15 years.

DRAK2 contributes to type 1 diabetes by negatively regulating IL-2 sensitivity to alter regulatory T cell development

Drak2-deficient (Drak2-/-) mice are resistant to multiple models of autoimmunity yet effectively eliminate pathogens and tumors. Thus, DRAK2 represents a potential target to treat autoimmune diseases. However, the mechanisms by which DRAK2 contributes to autoimmunity, particularly type 1 diabetes (T1D), remain unresolved. Here, we demonstrate that resistance to T1D in non-obese diabetic (NOD) mice is due to the absence of Drak2 in T cells and requires the presence of regulatory T cells (Tregs). Contrary to previous hypotheses, we show that DRAK2 does not limit TCR signaling. Rather, DRAK2 regulates IL-2 signaling by inhibiting STAT5A phosphorylation. We further demonstrate that enhanced sensitivity to IL-2 in the absence of Drak2 augments thymic Treg development. Overall, our data indicate that DRAK2 contributes to autoimmunity in multiple ways by regulating thymic Treg development and by impacting the sensitivity of conventional T cells to Treg-mediated suppression.

Antibiotics in the pathogenesis of diabetes and inflammatory diseases of the gastrointestinal tract

Antibiotic use is increasing worldwide. However, the use of antibiotics is clearly associated with changes in gut microbiome composition and function, and perturbations have been identified as potential environmental risk factors for chronic inflammatory disorders of the gastrointestinal tract. In this Review, we examine the association between the use of antibiotics and the onset and development of both type 1 and type 2 diabetes, inflammatory bowel disease, including ulcerative colitis and Crohn's disease, as well as coeliac disease and eosinophilic oesophagitis. We discuss the key findings of epidemiological studies, provide mechanistic insights into the pathways by which the gut microbiota might contribute to these diseases, and assess clinical trials investigating the effects of antibiotics. Such studies indicate that antibiotic exposures, varying in type, timing and dosage, could explain differences in disease risk. There seems to be a critical window in early life in which perturbation of the microbiome has a substantial effect on disease development. Identifying the antibiotic-perturbed gut microbiota as a factor that contributes to the pathophysiology of these inflammatory disorders might stimulate new approaches to prevention, diagnosis and treatment.

Transition From Pediatric to Adult Care for Individuals With Type 1 Diabetes: Opportunities and Challenges

OBJECTIVES

Type 1 diabetes (T1D) is a chronic disease with patients across the age spectrum that has high potential for morbidity and mortality. Unfortunately, patients transitioning from pediatric to adult care continue to demonstrate worsened glycemic control in part due to lack of understanding of transition of care best practices.

METHODS

This review highlights the impact of existing transition of care interventions, assessment tools, and other recently published strategies for providers to consider to improve care of adolescent and young adult (AYA) patients with T1D in both hospital- and clinic-based settings.

RESULTS

Many barriers impact patients with T1D during the transition period and disparities by race, sex, insurance status, and comorbid illness persist. As diabetic care continues to evolve and the prevalence of adolescents and young adults living with T1D increases, an intentional approach to transition of care is more pressing than ever. While current literature on transition of care models is limited, many show promise in improving clinic attendance and decreasing hospitalization. There are critical discussions that providers should lead with AYA patients to improve their outcomes and increase diabetes self-management, such as re-addressing carbohydrate counseling, sleep hygiene, and reproductive planning.

CONCLUSION

While further research on transition of care is needed, many care models offer the promise of improved T1D outcomes, enhancements in our approach to care, and increased value for our health care system at large.

Clinical, hormonal, and biochemical characteristics of 70 chinese children with moderate to severe type 1 diabetic ketoacidosis

BACKGROUND

Diabetic ketoacidosis (DKA) is one of the most severe acute complications of type 1 diabetes mellitus (T1DM). Patients with DKA of different severities may have different clinical manifestations, serum biochemical levels and hormone changes.

METHODS

We retrospectively evaluated the clinical manifestations, serum hormone levels, and biochemical levels of 70 Chinese patients with moderate to severe type 1 DKA in the acute and recovery phases admitted to Shanghai Children's Hospital from 2015 to 2020.

RESULTS

The time required for acidosis correction in 37 patients with severe DKA was 5.9 h longer than that in 33 patients with moderate DKA (P < 0.001). In addition, serum levels of serum ionized calcium (P = 0.003), free triiodothyronine (FT3) (P = 0.029), white blood cells (WBCs) (P = 0.044), and triglycerides (TGs) (P = 0.002) were significantly different between patients with moderate and severe DKA. Serum levels of ionized calcium decreased significantly after recovery from severe DKA. Within 1 week, thyroid hormone and blood lipid levels recovered to normal ranges without intervention.

CONCLUSION

Patients with severe DKA had higher acidosis correction times, higher WBC counts, TGs and ionized calcium levels, and lower FT3 levels than patients with moderate DKA. No additional intervention was required for thyroid hormone, and blood lipid and serum ionized calcium levels recovered to the normal range.

Incidence of an Insulin-Requiring Hyperglycemic Syndrome in SARS-CoV-2-Infected Young Individuals: Is It Type 1 Diabetes?

Pancreatic ACE2 receptor expression, together with increased prevalence of insulin-requiring hyperglycemia in patients with coronavirus disease 2019 (COVID-19), suggested that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pancreatic infection might trigger a β-cell-selective inflammation precipitating autoimmune type 1 diabetes (T1D). We examined T1D incidence in patients with COVID-19 inside a large, global population using a "big data" approach. The incidence in 0-30-year-old patients with confirmed COVID-19 over an ∼15-month period from the beginning of the COVID-19 pandemic was compared with an age-matched population without COVID-19 inside the TriNetX COVID-19 Research Network (>80 million deidentified patient electronic medical records globally). The cohorts were used to generate outcomes of T1D postindex. In those up to 18 years of age, the incidence of insulin-requiring diabetes that could represent T1D in patients with already diagnosed, confirmed COVID-19 was statistically indistinguishable from the control population without COVID-19. In contrast, in those aged 19-30 years, the incidence was statistically greater. These data suggest that the incidence of T1D among patients with COVID-19 <30 years of age, at least up to this time since the beginning of the pandemic, is not greater when compared with an age-, sex-, and BMI-matched population without COVID-19. Nevertheless, we caution that patients with COVID-19 could be asymptomatic of a diabetic/prediabetic state and therefore would not be expected to come to medical attention, remaining undiagnosed. Hence, it is still possible that asymptomatic virus-infected individuals could acquire β-cell autoimmunity, eventually progressing to dysglycemia and clinical T1D at higher rates.

Therapeutic Strategies Targeting Pancreatic Islet β-Cell Proliferation, Regeneration, and Replacement

Diabetes results from insufficient insulin production by pancreatic islet β-cells or a loss of β-cells themselves. Restoration of regulated insulin production is a predominant goal of translational diabetes research. Here, we provide a brief overview of recent advances in the fields of β-cell proliferation, regeneration, and replacement. The discovery of therapeutic targets and associated small molecules has been enabled by improved understanding of β-cell development and cell cycle regulation, as well as advanced high-throughput screening methodologies. Important findings in β-cell transdifferentiation, neogenesis, and stem cell differentiation have nucleated multiple promising therapeutic strategies. In particular, clinical trials are underway using in vitro-generated β-like cells from human pluripotent stem cells. Significant challenges remain for each of these strategies, but continued support for efforts in these research areas will be critical for the generation of distinct diabetes therapies.

Emerging vocational rehabilitation strategies for people with diabetes mellitus

BACKGROUND: People with diabetes mellitus constitute an emerging vocational rehabilitation (VR) consumer population. OBJECTIVE: The objective of this article is to (a) describe the characteristics and needs of Americans with diabetes mellitus, (b) examine the often devastating effects that this highly prevalent disease of the endocrine system has on employment and career development, and (c) suggest strategies that rehabilitation professionals can use to improve VR services and outcomes. METHOD: Following an overview of the etiology, incidence, prevalence, and impact of this high incidence endocrinological disease, the authors present strategies to meet the service and support needs of Americans with diabetes mellitus across the phases of the VR process. RESULTS: The importance of individualized case planning, employer consultation, workplace accommodations, interface with medical and mental health professionals, and adherence to self-care and symptom management regimens is emphasized throughout the article. CONCLUSION: Diabetes mellitus is an emerging disability that can affect people of any age, one that disproportionally affects people of color and people who live in poverty. Rehabilitation professionals must be prepared to meet the service needs of this growing clientele.

Variation in the incidence of type 1 diabetes mellitus in children and adolescents by world region and country income group: A scoping review

INTRODUCTION

Around 18.7 million of the 537 million people with diabetes worldwide live in low-income and middle-income countries (LMIC), where there is also an increase in the number of children, adolescents, and young adults diagnosed with type 1 diabetes (T1D). There are substantial gaps in data in the current understanding of the epidemiological patterns and trends in incidence rates of T1D at the global level.

METHODS

We performed a scoping review of published studies that established the incidence of T1D in children, adolescents, and young adults aged 0-25 years at national and sub-national levels using PubMed, Embase and Global Health. Data was analyzed using R programming.

RESULTS

The scoping review identified 237 studies which included T1D incidence estimates from 92 countries, revealing substantial variability in the annual incidence of T1D by age, geographic region, and country-income classification. Highest rates were reported in the 5-9 and 10-14 year age groups than in the 0-4 and 15-19 year age groups, respectively. In the 0-14 year age group, the highest incidence was reported in Northern Europe (23.96 per 100,000), Australia/New Zealand (22.8 per 100,000), and Northern America (18.02 per 100,000), while the lowest was observed in Melanesia, Western Africa, and South America (all < 1 per 100,000). For the 0-19 year age group, the highest incidence was reported in Northern Europe (39.0 per 100,000), Northern America (20.07 per 100,000), and Northern Africa (10.1 per 100,000), while the lowest was observed in Eastern and Western Africa (< 2 per 100,000). Higher incidence rates were observed in high-income countries compared to LMICs. There was a paucity of published studies focusing on determining the incidence of T1D in LMICs.

CONCLUSION

The review reveals substantial variability in incidence rates of T1D by geographic region, country income group, and age. There is a dearth of information on T1D in LMICs, particularly in sub-Saharan Africa, where incidence remains largely unknown. Investment in population-based registries and longitudinal cohort studies could help improve the current understanding of the epidemiological trends and help inform health policy, resource allocation, and targeted interventions to enhance access to effective, efficient, equitable, and responsive healthcare services.

A comparison of the rapid-acting insulin analogue glulisine with lispro and aspart for the pump treatment of patients with type 1 diabetes

AIMS

(1) To describe the population of patients with type 1 diabetes (T1DM) using the rapid-acting insulin analogue glulisine versus lispro and aspart during continuous subcutaneous insulin infusion (CSII); (2) to describe insulin relative effectiveness based on hemoglobin A1c (HbA1c), fasting blood glucose (FBG) and dose; (3) to determine rates of hyperglycemia, hypoglycemia, and diabetic ketoacidosis (DKA).

METHODS

The analysis used March 2021 data from the Diabetes-Patienten-Verlaufsdokumentation registry, which contains data of 618,903 patients with diabetes. Patients were propensity-matched by age, sex, and diabetes duration.

RESULTS

Overall, 42,736 patients of any age were eligible for analysis based on insulin pump usage with either glulisine (N = 707) or lispro/aspart (N = 42,029) between 2004 and 2020. Patients receiving glulisine were older (median 20.0 vs. 16.2 years), equally often male (47.2% vs. 47.8%) and had a longer diabetes duration (median 9.4 vs. 7.4 years). After propensity score matching, 707 pairs remained (total N = 1414). Patient characteristics between groups were similar. Achieved HbA1c values were also comparable: 8.04%, 64 mmol/mol versus 7.96%, 63 mmol/mol for glulisine and lispro/aspart [LS mean difference 0.08 (95%CI - 0.08, 0.25)]. FBG was 9.37 mmol/L (168.9 mg/dL) and 9.58 mmol/L (172.6 mg/dL) in the glulisine and lispro/aspart groups [LS mean diff. - 0.21; (95%CI - 1.13, 0.72)]. Total daily insulin doses and prandial to total insulin ratios were also similar. Glulisine group patients had higher rates of lipodystrophy (0.85% vs. 0.71%) (LS mean diff. 0.18 [95% CI - 1.01, 1.38]) and non-severe DKA (3.11% vs. 0.57%; p = 0.002). Fewer patients in the glulisine group had severe hypoglycemic events (7.66 vs. 9.09; p = 0.333) and severe ketoacidosis events (0.57% vs. 1.56%; p = 0.082) but more had hypoglycemic coma events (p = 0.773), although the differences were not statistically significant.

CONCLUSIONS

Insulin glulisine had comparable glucose control to lispro/aspart. The use of glulisine was less frequent in the present analysis compared to the previous trials.

Lipid metabolism in type 1 diabetes mellitus: Pathogenetic and therapeutic implications

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease with insulin deficiency due to pancreatic β cell destruction. Multiple independent cohort studies revealed specific lipid spectrum alterations prior to islet autoimmunity in T1DM. Except for serving as building blocks for membrane biogenesis, accumulative evidence suggests lipids and their derivatives can also modulate different biological processes in the progression of T1DM, such as inflammation responses, immune attacks, and β cell vulnerability. However, the types of lipids are huge and majority of them have been largely unexplored in T1DM. In this review, based on the lipid classification system, we summarize the clinical evidence on dyslipidemia related to T1DM and elucidate the potential mechanisms by which they participate in regulating inflammation responses, modulating lymphocyte function and influencing β cell susceptibility to apoptosis and dysfunction. This review systematically recapitulates the role and mechanisms of various lipids in T1DM, providing new therapeutic approaches for T1DM from a nutritional perspective.

Adult-onset type 1 diabetes: A changing perspective

Type 1 diabetes most commonly presents in adulthood, contrary to the widely held view that it is a disease of childhood. Furthermore, a substantial proportion of cases of adult-onset type 1 diabetes does not require insulin therapy at clinical onset. Recent studies have emphasised the evidence that adult-onset type 1 diabetes is prevalent but often misclassified initially as type 2 diabetes (1, 2). In this review, we discuss that recent literature, highlighting the similarities and differences between adult-onset and childhood-onset type 1 diabetes, exploring recent debates surrounding its epidemiology and genetics, as well as expanding on important issues of diagnostic criteria for individuals presenting with adult-onset diabetes and the subsequent management once identified as having an autoimmune basis. In addition, this review looks at the psychosocial challenges faced by T1D patients and their possible management.

Diabetic ketoacidosis in children with new-onset type 1 diabetes mellitus: demographics, risk factors and outcome: an 11 year review in Hong Kong

OBJECTIVES

Diabetic ketoacidosis (DKA) is a life-threatening complication of type 1 diabetes (T1D). The aim of this study is to analyze the incidence, clinical characteristics, management and outcome of children presenting with DKA in new-onset T1D from 2008 to 2018 in Hong Kong.

METHODS

Data was extracted from the Hong Kong Childhood Diabetes Registry. All subjects less than 18 years with newly diagnosed T1D from 1 January 2008 to 31 December 2018 managed in the public hospitals were included. Information on demographics, laboratory parameters, DKA-related complications and management were analyzed.

RESULTS

In the study period, there were 556 children with newly diagnosed T1D in our registry and 43.3% presented with DKA. The crude incidence rate of new-onset T1D with DKA was 1.79 per 100,000 persons/year (CI: 1.56-2.04). Subjects presenting with DKA were younger (9.5 ± 4.5 vs. 10.5 ± 4.4, p=0.01) and had shorter duration of symptoms (4.2 ± 5.9 days vs. 10.6 ± 17.1 days, p<0.01). Regarding management, up to 12.4% were given insulin boluses and 82.6% were started on insulin infusion 1 h after fluid resuscitation. The rate of cerebral edema was 0.8% and there was no mortality.

CONCLUSIONS

Younger age and shorter duration of symptoms were associated with DKA in new-onset T1D. Despite availability of international guidelines, there was inconsistency in acute DKA management. These call for a need to raise public awareness on childhood diabetes as well as standardization of practice in management of pediatric DKA in Hong Kong.

Anti-CD3 monoclonal antibodies for the prevention and treatment of type 1 diabetes: A literature review

DISCLAIMER

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

PURPOSE

Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of beta cells, resulting in a loss of insulin production. Patients with T1D carry a substantial disease burden as well as substantial short-term and long-term risks associated with inadequate glycemic control. Currently, treatment mainly consists of insulin, which only treats the symptoms of T1D and not the root cause. Thus, disease-modifying agents such as anti-CD3 monoclonal antibodies (mAbs) that target the autoimmune destruction of beta cells in T1D would provide significant relief and health benefits for patients with T1D. This review summarizes the clinical evidence regarding the safety and efficacy of anti-CD3 mAbs in the prevention and treatment of T1D.

SUMMARY

A total of 27 studies reporting or evaluating data from clinical trials involving otelixizumab and teplizumab were included in the review. Anti-CD3 mAbs have shown significant benefits in both patients at high risk for T1D and those with recent-onset T1D. In high-risk populations, anti-CD3 mAbs delayed time to diagnosis, preserved C-peptide levels, and improved metabolic parameters. In recent-onset T1D, anti-CD3 mAbs preserved C-peptide levels and reduced insulin needs for extended periods. Anti-CD3 mAb therapy appears to be safe, with primarily transient and self-limiting adverse effects and no negative long-term effects.

CONCLUSION

Anti-CD3 mAbs are promising disease-modifying treatments for T1D. Their role in T1D may introduce short-term and long-term benefits with the potential to mitigate the significant disease burden; however, more evidence is required for an accurate assessment.

Obesity in late adolescence and incident type 1 diabetes in young adulthood

AIMS/HYPOTHESIS

Studies in children have reported an association between increased BMI and risk for developing type 1 diabetes, but evidence in late adolescence is limited. We studied the association between BMI in late adolescence and incident type 1 diabetes in young adulthood.

METHODS

All Israeli adolescents, ages 16-19 years, undergoing medical evaluation in preparation for mandatory military conscription between January 1996 and December 2016 were included for analysis unless they had a history of dysglycaemia. Data were linked with information about adult onset of type 1 diabetes in the Israeli National Diabetes Registry. Weight and height were measured at study entry. Cox proportional models were applied, with BMI being analysed both as a categorical and as a continuous variable.

RESULTS

There were 777 incident cases of type 1 diabetes during 15,819,750 person-years (mean age at diagnosis 25.2±3.9 years). BMI was associated with incident type 1 diabetes. In a multivariable model adjusted for age, sex and sociodemographic variables, the HRs for type 1 diabetes were 1.05 (95% CI 0.87, 1.27) for the 50th-74th BMI percentiles, 1.41 (95% CI 1.11, 1.78) for the 75th-84th BMI percentiles, 1.54 (95% CI 1.23, 1.94) for adolescents who were overweight (85th-94th percentiles), and 2.05 (95% CI 1.58, 2.66) for adolescents with obesity (≥95th percentile) (reference group: 5th-49th BMI percentiles). One increment in BMI SD was associated with a 25% greater risk for incidence of type 1 diabetes (HR 1.25, 95% CI 1.17, 1.32).

CONCLUSIONS

Excessively high BMI in otherwise healthy adolescents is associated with increased risk for incident type 1 diabetes in early adulthood.

Epidemiology of Type 1 Diabetes

PURPOSE OF REVIEW

Epidemiological research on type 1 diabetes (T1D) has traditionally focussed on the paediatric age group, but recent data in adults has confirmed it to be a disease of all ages with a wide clinical spectrum. We review the epidemiology and clinical features of T1D across the lifespan.

RECENT FINDINGS

While the peak incidence of T1D is still in early adolescence, T1D is now diagnosed more commonly in adulthood than childhood due to increasing recognition of adult-onset T1D and the length of the adult lifespan. It still follows the known geographic variations in incidence, being highest in Northern Europe and lowest in Asia. The onset of T1D in adulthood is usually less acute than in childhood and confers a lower, although still substantial, risk of complications and early mortality. Interventions to delay T1D onset are emerging and screening for those at risk at birth is increasingly available. Type 1 diabetes can develop at any age and may not present with ketosis or an immediate insulin requirement in adults. Macro- and microvascular complications are the greatest cause of excess morbidity and mortality in this population.

Type 1 diabetes in diverse ancestries and the use of genetic risk scores

Over 75 genetic loci within and outside of the HLA region influence type 1 diabetes risk. Genetic risk scores (GRS), which facilitate the integration of complex genetic information, have been developed in type 1 diabetes and incorporated into models and algorithms for classification, prognosis, and prediction of disease and response to preventive and therapeutic interventions. However, the development and validation of GRS across different ancestries is still emerging, as is knowledge on type 1 diabetes genetics in populations of diverse genetic ancestries. In this Review, we provide a summary of the current evidence on the evolutionary genetic variation in type 1 diabetes and the racial and ethnic differences in type 1 diabetes epidemiology, clinical characteristics, and preclinical course. We also discuss the influence of genetics on type 1 diabetes with differences across ancestries and the development and validation of GRS in various populations.

Epidemiology of the diabetes-cardio-renal spectrum: a cross-sectional report of 1.4 million adults

Background

Type-2 diabetes (T2D), chronic kidney disease, and heart failure (HF) share epidemiological and pathophysiological features. Although their prevalence was described, there is limited contemporary, high-resolution, epidemiological data regarding the overlap among them. We aimed to describe the epidemiological intersections between T2D, HF, and kidney dysfunction in an entire database, overall and by age and sex.

Methods

This is a cross-sectional analysis of adults ≥ 25 years, registered in 2019 at Maccabi Healthcare Services, a large healthcare maintenance organization in Israel. Collected data included sex, age, presence of T2D or HF, and last estimated glomerular filtration rate (eGFR) in the past two years. Subjects with T2D, HF, or eGFR < 60 mL/min/1.73 m² were defined as within the diabetes-cardio-renal (DCR) spectrum.

Results

Overall, 1,389,604 subjects (52.2% females) were included; 445,477 (32.1%) were 25– < 40 years, 468,273 (33.7%) were 40– < 55 years, and 475,854 (34.2%) were ≥ 55 years old. eGFR measurements were available in 74.7% of the participants and in over 97% of those with T2D or HF. eGFR availability increased in older age groups. There were 140,636 (10.1%) patients with T2D, 54,187 (3.9%) with eGFR < 60 mL/min/1.73m², and 11,605 (0.84%) with HF. Overall, 12.6% had at least one condition within the DCR spectrum, 2.0% had at least two, and 0.23% had all three. Cardiorenal syndrome (both HF and eGFR < 60 mL/min/1.73m²) was prevalent in 0.40% of the entire population and in 2.3% of those with T2D. In patients with both HF and T2D, 55.2% had eGFR < 60 mL/min/1.73m² and 15.8% had eGFR < 30 mL/min/1.73m². Amongst those within the DCR spectrum, T2D was prominent in younger participants, but was gradually replaced by HF and eGFR < 60 mL/min/1.73m² with increasing age. The congruence between all three conditions increased with age.

Conclusions

This large, broad-based study provides a contemporary, high-resolution prevalence of the DCR spectrum and its components. The results highlight differences in dominance and degree of congruence between T2D, HF, and kidney dysfunction across ages.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-022-01521-9.

Regional Comparison of Diabetes Psychosocial Comorbidities Among Americans With Type 1 Diabetes During the COVID-19 Pandemic

PURPOSE

The purpose of this study was to compare diabetes psychosocial comorbidities among adults with type 1 diabetes (T1D) across the United States during the onset of COVID-19 pandemic.

METHODS

Adults with T1D from 4 main US geographic regions including South (n = 367), West (n = 234), Northeast (n = 250), and Midwest (n = 247) completed a cross-sectional online survey between April and June 2020. Data collection was done on psychosocial measures, glycemic variability, sociodemographic characteristics, and various challenges related to the COVID-19 pandemic. Chi-square, Fisher's exact, Kruskal-Wallis tests, ordinary least squares, proportional odds, and ordinal logistic regression methods were used for data analysis.

RESULTS

In the South, 51.2% of participants had moderate to high levels of diabetes distress, and this was significantly (P = .03) higher than other regions. Northeast region had the lowest prevalence of moderate to severe diabetes burnout (19.8%), but this was not significantly different compared to the other regions. Participants in the South had also the highest mean score on the 8-item Patient Health Questionnaire, with 30.3% of them reporting moderate to severe depressive symptoms. However, there were no significant differences in depressive symptoms among the regions. Glycemic control, demographic characteristics, and COVID-19-related challenges were associated with different psychosocial comorbidities in different regions.

CONCLUSIONS

When providing information and support to individuals with diabetes in time of crisis like the COVID pandemic, providers should consider psychosocial aspects of diabetes care. Diabetes disparities and contextual factors vary geographically in the United States; these factors may impact the psychosocial comorbidities of diabetes in each region.

The Gut Microbiota: Master of Puppets Connecting the Epidemiology of Infectious, Autoimmune, and Metabolic Disease

Infectious, autoimmune, and metabolic diseases put an enormous pressure on both quality of life and the economy. For all three disease types, it is known that the quality of the gut microbiota composition is correlated to both onset and progression of disease. Hence, maintaining eubiosis and preventing gradual irreversible loss of beneficial microbes within the gut microbial ecosystem is of utmost importance. As such, the epidemiological trends of these disease types may serve as proxies for the integrity of the human gut microbiota. Here, we present incidence data covering the last decades for prototypical infectious diseases (tuberculosis and measles), autoimmune disorders (type-1 diabetes and multiple sclerosis), and the prevalence of metabolic syndrome. Our findings reveal that vaccination efforts correlate with relatively low levels of archetypal infectious disease incidence. However, autoimmune and metabolic disorders are, together with the usage of antibiotics, steeply on the rise. These findings suggest that the status of the gut microbiota is persistently deteriorating, as reflected by the proxies. As such, the epidemiological trends shown here may serve as a starting point for a mechanistic understanding of the interplay between these different disease types that can be used for future prevention and mitigation strategies like targeted stimulation and suppletion of microorganisms by means of, e.g., fermented foods, prebiotics and probiotics.

Incidence and prevalence of type 1 diabetes and diabetic ketoacidosis in children and adolescents (0–19 years) in Thailand (2015–2020): A nationwide population-based study

Background

There is a lack of published studies on incidence of type 1 diabetes (T1D) and diabetic ketoacidosis (DKA) in Thailand. We aimed to estimate the national prevalence and incidence of T1D and DKA.

Methods

Using Thailand's nationwide population-based longitudinal data covering 69 million individuals, we included the entire children and adolescents recorded in the database. Diseases were identified using ICD-10 codes. We investigated the prevalence of T1D and cumulative incidence of T1D, T1D referral, DKA, and mortality risk of DKA in five years from 2015 to 2020. T1D and DKA annual incidence were also estimated. We present findings for the total population and by sex, age, and urban-rural residencies.

Findings

A total of 19,784,781 individuals aged less than 20 years were identified in 2015. The crude T1D prevalence in 2015 was 17·6 per 100,000 and crude T1D incidence rate was 5·0 per 100,000. T1D prevalence and cumulative incidence were significantly higher in older children (p < 0·001) and females (p < 0·001) than their counterparts. Among those with T1D, cumulative incidence of T1D referral was 42·4%. It was highest amongst children aged 5–14 years and was significantly higher among females (all p < 0·05). The crude DKA incidence rate at any point after diagnosis was 10·8%. The cumulative incidence of DKA was significantly higher in females and peaked in individuals aged 5–14 years (all p < 0·001). The DKA mortality risk was 258·2 per 100,000.

Interpretation

Older children and females had higher T1D prevalence. The DKA cumulative incidence and mortality risk were relatively low, and such incidence was peak in individuals aged 5–14 years.

Funding

Harvard University.

The Incidence of Adult-Onset Type 1 Diabetes: A Systematic Review From 32 Countries and Regions

BACKGROUND

The epidemiology of adult-onset type 1 diabetes (T1D) incidence is not well-characterized due to the historic focus on T1D as a childhood-onset disease.

PURPOSE

We assess the incidence of adult-onset (≥20 years) T1D, by country, from available data.

DATA SOURCES

A systematic review of MEDLINE, Embase, and the gray literature, through 11 May 2021, was undertaken.

STUDY SELECTION

We included all population-based studies reporting on adult-onset T1D incidence and published from 1990 onward in English.

DATA EXTRACTION

With the search we identified 1,374 references of which 46 were included for data extraction. Estimates of annual T1D incidence were allocated into broad age categories (20-39, 40-59, ≥60, or ≥20 years) as appropriate.

DATA SYNTHESIS

Overall, we observed the following patterns: 1) there is a paucity of data, particularly in low- and middle-income countries; 2) the incidence of adult-onset T1D is lowest in Asian and highest in Nordic countries; 3) adult-onset T1D is higher in men versus women; 4) it is unclear whether adult-onset T1D incidence declines with increasing age; and 5) it is unclear whether incidence of adult-onset T1D has changed over time.

LIMITATIONS

Results are generalizable to high-income countries, and misclassification of diabetes type cannot be ruled out.

CONCLUSIONS

From available data, this systematic review suggests that the incidence of T1D in adulthood is substantial and highlights the pressing need to better distinguish T1D from T2D in adults so that we may better assess and respond to the true burden of T1D in adults.

Polyendocrine Autoimmunity and Diabetic Ketoacidosis Following Anti-PD-1 and Interferon α

Immune checkpoint inhibitor (ICI) therapies are now first-line therapy for many advanced malignancies in adults, with emerging use in children. With increasing ICI use, prompt recognition and optimal management of ICI-associated immune-related adverse events (IRAEs) are critical. Nearly 60% of ICI-treated adults develop IRAEs, which commonly manifest as autoimmune skin, gastrointestinal, and endocrine disease and can be life-threatening. The incidence, presentation, and disease course of spontaneous autoimmune diseases differ between adults and children, but the pattern of pediatric IRAEs is currently unclear. We report a case of a pediatric patient presenting with new onset autoimmune diabetes mellitus and diabetic ketoacidosis during ICI treatment of fibrolamellar hepatocellular carcinoma (FLC). Distinct from spontaneous type 1 diabetes mellitus (T1DM), this patient progressed rapidly and was negative for known β cell autoantibodies. Additionally, the patient was positive for 21-hydroxylase autoantibodies, suggesting development of concomitant adrenal autoimmunity. Current guidelines for the management of IRAEs in adults may not be appropriate for the management of pediatric patients, who may have different autoimmune risks in a developmental context.

Characteristics of newly diagnosed type 1 diabetes in paediatric and adult population from Reims University Hospital, France from 1997 to 2019

French health insurance data showed that the incidence of type 1 diabetes mellitus (T1DM) in children increased over the years to 2015. The objective of our study was to assess the evolution of the number of incident cases of paediatric and adult type 1 diabetes in our institution, and to describe their clinical presentation and its evolution. All patients with T1DM managed at diagnosis at Reims University Hospital between 1997 and 2019 were included. The clinical and biological data were extracted from the Champagne-Ardenne Diabetes Network database. Included were 847 patients with a median age of 10.3 years. Diagnosis was established in 71% of cases before 15 years, 7.4% after 35 years. The number of newly diagnosed cases was 3.6-times higher in 2019 compared to 1997. Ketoacidosis, the frequency of which decreased with age (P < 0.0001), revealed diabetes in a total of 32% of cases and in 46% of children under 5 years. It was more severe in children than in adults (P = 0.03), and its frequency increased over the study period. Hypotrophy was found in 23% of children under 15 years of age, and was more pronounced before 5 years of age, with no improvement over time. We saw an increase in the frequency of obesity or overweight among adults. Our study showed an increase in incident cases of diabetes in our hospital that continued over time for both children and adults. Clinical features at diagnosis deteriorated during this period for those under 15 years of age with an increase in ketoacidosis frequency.

Novel Biomarkers of Inflammation for the Management of Diabetes: Immunoglobulin-Free Light Chains

Virus infection, inflammation and genetic factors are important factors in the pathogenesis of diabetes mellitus. The nuclear factor-kappa B (NF-κB) is a family of transcription factors that bind the enhancer of the κ light chain gene of B cell immunoglobulin. NF-κB plays an essential role in the activation and development of B cells, and the activation of NF-κB is critical in the inflammation and development of diabetes mellitus. Recently, immunoglobulin-free light chain (FLC) λ was found to be increased in the sera of patients with diabetes mellitus, and the FLC λ and κ/λ ratios are more specific and sensitive markers for the diagnosis of diabetes relative to glycated hemoglobin A1c. Thus, FLCs may be promising biomarkers of inflammation that could relate to the activation of NF-κB. We suggest that NF-κB could be a target for an anti-inflammatory strategy in preventing and treating diabetes when FLCs are modified. FLCs could be a surrogate endpoint in the management of diabetes. In this review, the role of inflammation in the pathogenesis of diabetes, as well as the novel inflammatory biomarkers of FLCs for the management of diabetes, are discussed.