Autism spectrum disorder in children with Type 1 diabetes

Clinical management of pediatric patients with cystic fibrosis and autism spectrum disorder

BACKGROUND

Cystic Fibrosis (CF) and autism spectrum disorder (ASD) are life-long conditions with intense treatment burdens for patients and families. Patients with a concurrent diagnosis (CF-ASD) experience unique obstacles to CF care. This study describes the experiences of our multidisciplinary CF team in caring for patients with CF-ASD and provides insight into provider and parental perspectives on clinical management.

METHODS

This is a three-part qualitative study involving (1) retrospective chart review of patients with CF-ASD, (2) surveys with multidisciplinary care team members, and (3) semistructured interviews with caregivers of patients with CF-ASD. Challenges in clinical management of this specific cohort were compiled using data from chart review and care team surveys. Strategies to address these concerns were identified and rated by individual families based on relevance and practicality.

RESULTS

Within our CF center, 12 patients have an official diagnosis of ASD. Median age of patients with CF-ASD was 8.5 years (range 3-20 years), 67% were male, and 83% were on highly effective modulator therapy. Clinical barriers included sensory processing issues, environmental overstimulation, intolerance to procedures and to disrupted routines. Potentially impactful strategies include patient-specific coping plans, guided behavioral interventions, parental advocacy, and improved communication between the family and multidisciplinary team.

CONCLUSION

Children with CF-ASD face extraordinary challenges beyond the experience of neurotypical children with CF. Increased awareness of this complex dual diagnosis will help providers be sensitive to the unique needs of these patients, help build consistent and trustworthy relationships with their families and deliver effective clinical care despite limitations.

Prevalence of mental disorders in people living with type 1 diabetes: A systematic literature review and meta-analysis

OBJECTIVE

Type 1 diabetes is associated with increased prevalence of individual categories of mental disorders. We aimed to systematically synthesise the prevalence of all the different categories of mental disorders to estimate the overall burden of psychiatric morbidity in the type 1 diabetes population.

METHOD

The electronic database of OVID was searched, and retrieved papers were screened for eligibility by two independent reviewers. Data were extracted using a standardised data extraction form and the quality of included papers was assessed. Where possible, comparisons with control groups without type 1 diabetes were made. Prevalence data were synthesised into Diagnostic and Statistical Manual of Mental Disorders version 5 categories, a narrative data-synthesis, and a subsequent meta-analysis where possible was conducted for mental disorder categories.

RESULTS

Thirty-eight articles were included. Depressive, anxiety, and feeding and eating disorders were the most examined mental disorders. Studies utilising diagnostic interviews reported higher prevalence of mental disorders than in studies utilising clinical registers, with an up to 24-fold difference respectively. In studies with a control group, the prevalence for nearly every mental disorder were increased for the type 1 diabetes samples.

CONCLUSIONS

There appears to be a high prevalence of mental disorders and associated need among people with type 1 diabetes, although the quality of research needs to improve.

SYSTEMATIC REVIEW REGISTRATION

This protocol was submitted for registration with the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42020221530).

Association between type 1 diabetes and neurodevelopmental disorders in children and adolescents: A systematic review and meta-analysis

Type 1 diabetes and neurodevelopmental disorders are common chronic conditions in childhood and adolescence, and having one may lead to an increased chance of developing the other. Type 1 diabetes mellitus is mainly manifested by elevated blood glucose, while neurodevelopmental diseases are composed of a variety of diseases, which are relatively complex. The purpose of this meta-analysis was to find out the prevalence of type 1 diabetes-related neurodevelopmental disorders in children and adolescents and to explore the potential association between neurodevelopmental disorders and type 1 diabetes. PubMed, Embase and Web of science databases were searched from the inception to May 22, 2022 to identify relevant studies, Finally, 24 original studies were included in the meta-analysis. Prevalence estimates for neurodevelopmental disorders in the type 1 diabetes adolescent and their 95% confidence intervals were pooled using random effects models. The pooled estimates for autism spectrum disorders (ASD) and attention deficit hyperactivity disorder (ADHD) in the type 1 diabetes population were 1.2 and 5.3%, respectively, both of which are higher than the 2019 global prevalence of ASD and ADHD in the general population. The results of the subgroup analysis showed that the prevalence of ASD and ADHD in the T1DM population tended to increase with age. In conclusion, there may be a potential link between the occurrence of type 1 diabetes mellitus and the development of neurodevelopmental disorders in children and adolescents, but more relevant studies are needed to understand the link between the underlying pathogenesis of type 1 diabetes and neurodevelopmental disorders.

Systematic review registration

[https://www.crd.york.ac.uk/PROSPERO/], identifier [CDR42022333443].

Association between autism spectrum disorder and diabetes: systematic review and meta-analysis

There is mixed evidence on the link between autism spectrum disorder (ASD) and diabetes. We conducted the first systematic review/meta-analysis on their association. Based on a pre-registered protocol (PROSPERO: CRD42021261114), we searched Pubmed, Ovid, and Web of Science databases up to 6 December 2021, with no language/type of document restrictions. We assessed study quality using the Newcastle-Ottawa Scale (NOS). We included 24 studies (total: 3427,773 individuals; 237,529 with ASD and 92,832 with diabetes) in the systematic review and 20 in the meta-analysis (mean stars number on the NOS: 5.89/10). There was a significant association, albeit characterized by significant heterogeneity, when pooling unadjusted OR (1.535, 95% CI = 1.109-2.126), which remained significant when restricting the analysis to children and type 2 diabetes, but became non-significant when considering adjusted ORs (OR: 1.528, 95% CI = 0.954-2.448). No significant prospective association was found (n = 2) on diabetes predicting ASD (HR: 1.232, 0.826-11.837). Therefore, the association between ASD and diabetes is likely confounded by demographic and clinical factors that should be systematically investigated in future studies.

Type 1 Diabetes Mellitus and Risks of Major Psychiatric Disorders: A Nationwide Population-Based Cohort Study

BACKGROUND

The temporal association between type 1 diabetes mellitus (T1DM) and major psychiatric disorders, including schizophrenia, major affective disorder, autism spectrum disorder (ASD), and attention-deficit hyperactivity disorder (ADHD), remains elusive.

METHODS

The specialized databases of catastrophic diseases and mental disorders and the longitudinal health insurance database of Taiwan National Health Insurance Research Database were used in current study. A total of 6,226 patients with T1DM and 62,260 age- and sex-matched controls were recruited between 2001 and 2010 and were followed until the end of 2011 for the identification of diagnoses of schizophrenia (International Classification of Clinical Diseases, Ninth Edition, Clinical Modification [ICD-9-CM] code: 295), bipolar disorder (ICD-9-CM codes: 296 except 296.2x, 296.3x, 296.9x, and 296.82), major depressive disorder (ICD-9-CM codes: 296.2x and 296.3x), ASD (ICD-9-CM code: 299), and ADHD (ICD-9-CM code: 314).

RESULTS

Cox regression analysis revealed increased hazard ratios of schizophrenia (12.28), bipolar disorder (13.80), major depressive disorder (10.41), ASD (14.52), and ADHD (8.19) in patients with T1DM compared with controls.

DISCUSSION

Our findings indicate the importance of clinicians closely monitoring the mental health condition of children, adolescents, and adults with T1DM. Additional studies should be conducted to elucidate the definite pathomechanisms of comorbidities between T1DM and major psychiatric disorders.

Expression and structural analysis of human neuroligin 2 and neuroligin 3 implicated in autism spectrum disorders

The development of autism spectrum disorders (ASDs) involves both environmental factors such as maternal diabetes and genetic factors such as neuroligins (NLGNs). NLGN2 and NLGN3 are two members of NLGNs with distinct distributions and functions in synapse development and plasticity. The relationship between maternal diabetes and NLGNs, and the distinct working mechanisms of different NLGNs currently remain unclear. Here, we first analyzed the expression levels of NLGN2 and NLGN3 in a streptozotocin-induced ASD mouse model and different brain regions to reveal their differences and similarities. Then, cryogenic electron microscopy (cryo-EM) structures of human NLGN2 and NLGN3 were determined. The overall structures are similar to their homologs in previous reports. However, structural comparisons revealed the relative rotations of two protomers in the homodimers of NLGN2 and NLGN3. Taken together with the previously reported NLGN2-MDGA1 complex, we speculate that the distinct assembly adopted by NLGN2 and NLGN3 may affect their interactions with MDGAs. Our results provide structural insights into the potential distinct mechanisms of NLGN2 and NLGN3 implicated in the development of ASD.

Equity in the Provision of Diabetes Self-Management Education and Support

Diabetes self-management education and support (DSMES) interventions must be accessible to all people with diabetes. To address equity in the delivery of DSMES, interventions should consider the unique needs of various populations. This article outlines the needs of a wide range of populations, including people with diabetes who are racially or ethnically diverse; have limited English proficiency or literacy; are deaf or hard of hearing; are blind or have low vision; are neurodiverse; live with learning disabilities or intellectual or developmental disabilities; have dementia or cognitive impairment; or are of sexual and/or gender minority. The authors discuss how best to tailor DSMES to meet the needs of these diverse groups.

The immune system and autism spectrum disorder: association and therapeutic challenges

Autism spectrum disorder (ASD) is a neurodevelopmental disorder, affecting communication and behavior. Historically, ASD had been described as a purely psychiatric disorder with genetic factors playing the most critical role. Recently, a growing body of literature has been emphasizing the importance of environmental and immunological factors in its pathogenesis, with the autoimmune process attracting the most attention. This study provides a review of the autoimmune involvement in the pathogenesis of ASD. The\r\nmicrobiome, the representative of the innate immune system in the central nervous system (CNS), plays a critical role in triggering inflammation. Besides, a bidirectional communicational pathway between the CNS and the intestine called the gut‑brain‑axis is linked to the development of ASD. Moreover, the higher plasma level of pro‑inflammatory cytokines in ASD patients and the higher prevalence of autoimmune disorders in the first‑degree family members of affected persons are other clues of the immune system involvement in\r\nthe pathogenesis of ASD. Furthermore, some anti‑inflammatory drugs, including resveratrol and palmitoylethanolamide have shown promising effects by relieving the manifestations of ASD. Although considerable advances have been made in elucidating the role of autoimmunity in the ASD pathogenesis, further studies with stronger methodologies are needed to apply the knowledge to the definitive treatment of ASD.

Neurodevelopmental Disorders, Glycemic Control, and Diabetic Complications in Type 1 Diabetes: a Nationwide Cohort Study

CONTEXT

Neurodevelopmental disorders are more prevalent in childhood-onset type 1 diabetes than in the general population, and the symptoms may limit the individual's ability for diabetes management.

OBJECTIVE

This study investigated whether comorbid neurodevelopmental disorders are associated with long-term glycemic control and risk of diabetic complications.

METHODS

This population-based cohort study used longitudinally collected data from Swedish registers. We identified 11 326 individuals born during 1973-2013, diagnosed with type 1 diabetes during 1990-2013 (median onset age: 9.6 years). Among them, 764 had a comorbid neurodevelopmental disorder, including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, and intellectual disability. We used multinomial logistic regression to calculate odds ratios (ORs) of having poor glycemic control (assessed by glycated hemoglobin [HbA1c]) and Cox regression to estimate hazard ratios (HRs) of nephropathy and retinopathy.

RESULTS

The median follow-up was 7.5 years (interquartile range [IQR] 3.9, 11.2). Having any neurodevelopmental disorder (ORadjusted 1.51 [95% CI 1.13, 2.03]), or ADHD (ORadjusted 2.31 [95% CI 1.54, 3.45]) was associated with poor glycemic control (mean HbA1c > 8.5%). Increased risk of diabetic complications was observed in patients with comorbid neurodevelopmental disorders (HRadjusted 1.72 [95% CI 1.21, 2.44] for nephropathy, HRadjusted 1.18 [95% CI 1.00, 1.40] for retinopathy) and patients with ADHD (HRadjusted 1.90 [95% CI 1.20, 3.00] for nephropathy, HRadjusted 1.33 [95% CI 1.07, 1.66] for retinopathy). Patients with intellectual disability have a particularly higher risk of nephropathy (HRadjusted 2.64 [95% CI 1.30, 5.37]).

CONCLUSION

Comorbid neurodevelopmental disorders, primarily ADHD and intellectual disability, were associated with poor glycemic control and a higher risk of diabetic complications in childhood-onset type 1 diabetes.

The Prevalence of Diabetes in Autistic Persons: A Systematic Review

Background:

It has been proposed that autistic individuals are at an increased risk of type 1 and type 2 diabetes. Improved understanding of diabetes prevalence in autistic persons will help inform resource allocation for diabetes-related public health measures for this patient group.

Objective:

To conduct a systematic review of published literature pertaining to type 1 and type 2 diabetes prevalence in autistic individuals, including comparison with their non-autistic peers.

Methods:

Eligibility criteria included studies investigating the prevalence of diabetes in autistic individuals, as well as having been published in the English language. A systematic search of online databases (MEDLINE, PsycINFO, CINAHL, EMBASE and PubMed) was conducted on 4^th April 2020. Additional approaches included the ancestry method, grey literature searches and expert consultation. Studies were qualitatively analysed with reporting quality appraised.

Results:

19 eligible studies were identified, 7 of which provided type-specific diabetes prevalence data. Of 15 studies that included a non-autistic control group, 9 reported a higher diabetes prevalence among autistic persons, with a statistically significant difference in 4 studies. Studies demonstrating a higher diabetes prevalence in autistic groups had higher average study population sizes and reporting quality ratings.

Conclusion:

It is uncertain whether diabetes is significantly more prevalent in autistic persons relative to their non-autistic peers, though larger studies suggest a trend in this direction. Nevertheless, diabetes is a significant public health issue for the autistic community, which may require a tailored approach for identification and management. Prospero database registration number: CRD42019122176.

Challenges and Successes in Raising a Child With Type 1 Diabetes and Autism Spectrum Disorder: Mixed Methods Study

BACKGROUND

Self-management of type 1 diabetes (T1D) requires numerous decisions and actions by people with T1D and their caregivers and poses many daily challenges. For those with T1D and a developmental disorder such as autism spectrum disorder (ASD), more complex challenges arise, though these remain largely unstudied.

OBJECTIVE

This study aimed to better understand the barriers and facilitators of raising a child with T1D and ASD. Secondary analysis of web-based content (phase 1) and telephone interviews (phase 2) were conducted to further expand the existing knowledge on the challenges and successes faced by these families.

METHODS

Phase 1 involved a qualitative analysis of publicly available online forums and blog posts by caregivers of children with both T1D and ASD. Themes from phase 1 were used to create an interview guide for further in-depth exploration via interviews. In phase 2, caregivers of children with both T1D and ASD were recruited from Penn State Health endocrinology clinics and through the web from social media posts to T1D-focused groups and sites. Interested respondents were directed to a secure web-based eligibility assessment. Information related to T1D and ASD diagnosis, contact information, and demographics were collected. On the basis of survey responses, participants were selected for a follow-up telephone interview and were asked to complete the adaptive behavior assessment system, third edition parent form to assess autism severity and upload a copy of their child's most recent hemoglobin A_1c (HbA_1c) result. Interviews were transcribed, imported into NVivo qualitative data management software, and analyzed to determine common themes related to barriers and facilitators of raising a child with both ASD and T1D.

RESULTS

For phase 1, 398 forum posts and blog posts between 2009 and 2016 were analyzed. Common themes related to a lack of understanding by the separate ASD and T1D caregiver communities, advice on coping techniques, rules and routines, and descriptions of the health care experience. For phase 2, 12 eligible respondents were interviewed. For interviewees, the average age of the child at diagnosis with T1D and ASD was 7.92 years and 5.55 years, respectively. Average self-reported and documented HbA_1c levels for children with T1D and ASD were 8.6% (70 mmol/mol) and 8.7% (72 mmol/mol), respectively. Common themes from the interviews related to increased emotional burden, frustration surrounding the amount of information they are expected to learn, and challenges in the school setting.

CONCLUSIONS

Caregivers of children with both T1D and ASD face unique challenges, distinct from those faced by caregivers of individuals who have either disorder alone. Understanding these challenges may help health care providers in caring for this unique population. Referral to the diabetes online community may be a potential resource to supplement the care received by the medical community.