The Relationship Between Generalised Joint Hypermobility and Autism Spectrum Disorder in Adults: A Large, Cross-Sectional, Case Control Comparison

Autism in the context of joint hypermobility, hypermobility spectrum disorders, and Ehlers-Danlos syndromes: A systematic review and prevalence meta-analyses

Increasing research suggests a link between autism spectrum disorders and joint hypermobility, hypermobility spectrum disorders, and Ehlers-Danlos syndromes. However, no study systematically examined the available literature about the relationship between these conditions. A systematic literature search was conducted to identify studies (a) examining the link between autism, joint hypermobility, hypermobility spectrum disorders or Ehlers-Danlos syndrome, and (b) reporting the frequency of autism spectrum disorders in people with joint hypermobility, hypermobility spectrum disorders or Ehlers-Danlos syndrome, or vice versa. Prevalence meta-analyses were performed. Twenty articles met the inclusion criteria. Twelve studies explored joint hypermobility/hypermobility spectrum disorders/Ehlers-Danlos syndrome in autistic people. Six explored autism spectrum disorders/autistic traits in people with hypermobility spectrum disorders/Ehlers-Danlos syndrome. Two studies examined autism spectrum disorders in relatives of patients with hypermobility spectrum disorders/Ehlers-Danlos syndrome, and two explored autistic traits and joint hypermobility in non-clinical samples. Out of 15 studies examining the association between autism spectrum disorders/autistic traits and joint hypermobility/hypermobility spectrum disorders/Ehlers-Danlos syndrome, 12 reported significant results. The overall prevalence of joint hypermobility in autistic individuals was 22.3%, but it was higher (31%) when only studies assessing joint hypermobility clinically (excluding self-reports) were considered. The overall prevalence of hypermobility spectrum disorders/Ehlers-Danlos syndrome in autistic samples was 27.9%, but 39% if hypermobility spectrum disorders/Ehlers-Danlos syndrome were assessed clinically. Despite the heterogeneity of studies, these results suggest an association between autism and joint hypermobility/hypermobility spectrum disorders/Ehlers-Danlos syndrome that should be confirmed in further research.Lay abstractIncreasing research suggests a link between autism spectrum disorders (ASD) and joint hypermobility (JH), hypermobility spectrum disorders (HSD), and Ehlers-Danlos syndromes (EDS). However, no study systematically examined the available literature about the relationship between these conditions. To fill this gap, we conducted a systematic literature search to identify studies: (a) examining the link between autism, JH, HSD, or EDS, and (b) reporting the frequency of ASD in people with JH, HSD, or EDS, or vice versa. Prevalence meta-analyses were performed. Twenty articles met the inclusion criteria. Twelve studies explored JH/HSD/EDS in autistic people. Six explored ASD/autistic traits in people with HSD/EDS. Two studies examined ASD in relatives of patients with HSD/EDS, and two explored autistic traits and JH in non-clinical samples. Out of 15 studies examining the association between ASD/autistic traits and JH/HSD/EDS, 12 reported significant results. The overall prevalence of JH in autistic individuals was 22.3%, but it was higher (31%) when only studies assessing JH clinically (excluding self-reports) were considered. The overall prevalence of HSD/EDS in autistic samples was 27.9%, but 39% if HSD/EDS were assessed clinically. Despite the heterogeneity of studies, these results suggest an association between autism and JH/HSD/EDS that should be confirmed in further research.

Functional Neurological Disorder and Autism Spectrum Disorder: A Complex and Potentially Significant Relationship

INTRODUCTION

Functional neurological disorder (FND) and autism spectrum disorder (ASD) are two complex neuropsychiatric conditions that have been historically classified within psychiatric domains, resulting in a lack of extensive research, insufficient clinical recognition, and persistent societal stigma. In recent years, there has been an increasing recognition among professionals and affected individuals of their possible overlap. This review explores the potential clinical and mechanistic overlap between FND and ASD, with particular attention to shared symptoms across sensory, motor, and psychiatric domains.

METHODS

We conducted a narrative analysis utilizing the PubMed, CINAHL, MEDLINE, and ScienceDirect databases from inception to June 2024. The search employed specific MeSH terms related to ASD and FND. Given the limited data availability, we included all relevant articles that explored the potential connections between FND and ASD, focusing on established findings and theoretical hypotheses areas.

RESULTS

Scientific evidence indicates that FND and ASD may co-occur more frequently than previously acknowledged and with notable overlaps in their clinical presentations and pathophysiology. Theoretical models that have been applied to FND and ASD, such as the Bayesian brain theory and the tripartite model of autism, may provide valuable insights into the intersection of these conditions. Although much of the current evidence remains speculative, it underscores the need for hypothesis-driven research to investigate these potential connections further.

CONCLUSION

ASD and FND are heterogeneous conditions that appear to co-occur in a subset of individuals, with overlapping symptomatology and possibly shared underlying mechanisms. This hypothesis-generating review emphasizes the need for further research to better understand these links, ultimately aiming to improve clinical recognition and develop targeted interventions that enhance the quality of life for affected individuals.

Overlapping conditions in Long COVID at a multisite academic center

Background

Many patients experience persistent symptoms after COVID-19, a syndrome referred to as Long COVID (LC). The goal of this study was to identify novel new or worsening comorbidities self-reported in patients with LC.

Methods

Patients diagnosed with LC (n = 732) at the Mayo Long COVID Care Clinic in Rochester, Minnesota and Jacksonville, Florida were sent questionnaires to assess the development of new or worsening comorbidities following COVID-19 compared to patients with SARS-CoV-2 that did not develop LC (controls). Both groups were also asked questions screening for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), generalized joint hypermobility (GJH) and orthostatic intolerance. 247 people with LC (33.7%) and 40 controls (50%) responded to the surveys.

Results

In this study LC patients averaged 53 years of age and were predominantly White (95%) women (75%). The greatest prevalence of new or worsening comorbidities following SARS-CoV-2 infection in patients with LC vs. controls reported in this study were pain (94.4% vs. 0%, p < 0.001), neurological (92.4% vs. 15.4%, p < 0.001), sleep (82.8% vs. 5.3%, p < 0.001), skin (69.8% vs. 0%, p < 0.001), and genitourinary (60.6% vs. 25.0%, p = 0.029) issues. 58% of LC patients screened positive for ME/CFS vs. 0% of controls (p < 0.001), 27% positive for GJH compared to 10% of controls (p = 0.026), and a positive average score of 4.0 on orthostatic intolerance vs. 0 (p < 0.001). The majority of LC patients with ME/CFS were women (77%).

Conclusion

We found that comorbidities across 12 surveyed categories were increased in patients following SARS-CoV-2 infection. Our data also support the overlap of LC with ME/CFS, GJH, and orthostatic intolerance. We discuss the pathophysiologic, research, and clinical implications of identifying these conditions with LC.

A New Method to Evaluate Joint Hypermobility in Paediatric Patients with Neurodevelopmental Disorders: A Preliminary Study

Background/Objectives: Neurodevelopmental disorders (NDDs) include a wide range of conditions that develop during the formation of the central nervous system, such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). Tourette syndrome (TS) is another neurodevelopmental disorder characterised by motor and vocal tics, which often co-occurs with ASD and ADHD. This study explores the feasibility of assessing joint hypermobility in children with specific neurodevelopmental conditions by measuring both ankles' passive range of motion (pROM). Methods: This study involved children diagnosed with ASD, ADHD, and TS, aged 5 to 15 years, who were compared with a control group of healthy children. The Beighton and Brighton scores and the pROM of the left and right ankles were measured. Data were analysed using SPSS version 22.0 for Windows (IBM SPSS Statistics, Chicago, IL, USA). A total of 102 subjects participated in this study (72.52% male, with a mean age of 10.7 ± 2.2 years). The sample included 24 children with ASD, 27 with ADHD, 26 with TS, and 25 healthy controls. Results: The pROM of the right and left ankles showed a significant positive correlation with the Beighton and Brighton scores in children with NDDs (ASD, ADHD, and TS combined). A trend towards higher Beighton scores (≥6) was observed in the ADHD and TS groups, with significance found in the TS group (p = 0.013). The pROM of the right ankle was significantly higher in the ADHD (p = 0.021) and TS (p = 0.013) groups compared to the controls. Although the left ankle followed a similar trend in the TS group, the difference was not statistically significant (p = 0.066). Controlling for age, the diagnosis of ASD, ADHD, and TS does not appear to impact any of the variables examined. Conclusions: There is a trend towards a higher prevalence of individuals with elevated Beighton scores in the ADHD and TS groups, suggesting greater general flexibility or hypermobility in these patients. However, the pROM of the right ankle is significantly higher in the ADHD and TS groups, with solid evidence in the TS group. These findings were not observed in children with ASD. However, it is necessary to consider the measurements obtained in relation to the patients' age. Finally, given that the pROM of the ankles correlates with the Beighton and Brighton scores, it could be utilised for the initial screening, monitoring, and follow-up of JH in some children with NDDs. Further investigations are required.

Fascia as a regulatory system in health and disease

Neurology and connective tissue are intimately interdependent systems and are critical in regulating many of the body's systems. Unlocking their multifaceted relationship can transform clinical understanding of the mechanisms involved in multisystemic regulation and dysregulation. The fascial system is highly innervated and rich with blood vessels, lymphatics, and hormonal and neurotransmitter receptors. Given its ubiquity, fascia may serve as a "watchman," receiving and processing information on whole body health. This paper reviews what constitutes fascia, why it is clinically important, and its contiguous and interdependent relationship with the nervous system. Unquestionably, fascial integrity is paramount to human locomotion, interaction with our environment, bodily sense, and general physical and emotional wellbeing, so an understanding of the fascial dysregulation that defines a range of pathological states, including hypermobility syndromes, autonomic dysregulation, mast cell activation, and acquired connective tissue disorders is critical in ensuring recognition, research, and appropriate management of these conditions, to the satisfaction of the patient as well as the treating practitioner.

Diagnosis of common health conditions among autistic adults in the UK: evidence from a matched cohort study

Background

Autistic people are disproportionately likely to experience premature mortality and most mental and physical health conditions. We measured the incidence of diagnosed conditions accounting for the most disability-adjusted life years in the UK population according to the Global Burden of Disease study (anxiety, depression, self-harm, harmful alcohol use, substance use, migraine, neck or back pain, and gynaecological conditions).

Methods

Participants were aged 18 years or above and had an autism diagnosis recorded in the IQVIA Medical Research Database between 01/01/2000 and 16/01/2019. We included 15,675 autistic adults without intellectual disability, 6437 autistic adults with intellectual disability, and a comparison group matched (1:10) by age, sex, and primary care practice. We estimated crude incidences and incidence rate ratios (IRRs) adjusted for age and sex.

Findings

Autistic adults without intellectual disability experienced a higher incidence (IRR, 95% CI) of self-harm (2.07, 1.79-2.40), anxiety (1.91, 1.76-2.06), depressive disorders (1.79, 1.67-1.92), and substance use (1.24, 1.02-1.51) relative to comparison participants. Incidences of harmful alcohol use (1.01, 0.85-1.18), migraine (0.99, 0.84-1.17), and gynaecological conditions (1.19, 0.95-1.49) did not differ. Neck or back pain incidence was lower (0.88, 0.82-0.95). Autistic adults with intellectual disability experienced a higher incidence of self-harm (2.08, 1.69-2.56). Incidences of anxiety (1.14, 1.00-1.30), gynaecological conditions (1.22, 0.93-1.62), and substance use (1.08, 0.80-1.47) did not differ, and lower incidences were found for depressive disorders (0.73, 0.64-0.83), harmful alcohol use (0.65, 0.50-0.84), migraine (0.55, 0.42-0.74), and neck or back pain (0.49, 0.44-0.55).

Interpretation

Although our findings cannot be directly compared to previous prevalence studies, they contrast with the higher frequency of mental and physical health conditions in autistic adults reported in studies that directly assessed and/or surveyed autistic people about co-occurring conditions. The present findings may suggest under-diagnosis of common conditions in autistic people, particularly those with intellectual disability. Improved detection should be a clinical and policy priority to reduce health inequalities.

Funding

Dunhill Medical Trust, Economic and Social Research Council, National Institute of Health and Care Research.

Relationship and New Prospectives in Joint Hypermobility in Children with Autism Spectrum Disorder: Preliminary Data

Autism spectrum disorder (ASD) and joint hypermobility (JH) are considered two different etiological and clinical entities that most often appear in childhood. Despite growing increased research showing a co-occurrence for both conditions, a link between them is rarely established in clinical settings, and the relationship between ASD and JH has not so far been completely investigated in all age groups of ASD children. This preliminary study examined a cohort of 67 non-syndromic ASD children aged 2-18 years (sex ratio M:F = 12:1) showing different degrees of cognitive impairment and autism severity, using the Beighton scale and its revised version. A total of 63% of ASD patients aged 2-4 years and 73% of ASD patients aged ≥5 years presented significant scores of hypermobility. No significant correlation was found comparing total laxity score and cognitive assessments and severity of autistic symptomatology (p > 0.05). The results suggest that JH could be considered as a clinical characteristic of ASD patients and it needs to be assessed in order to schedule a better rehabilitation program.

An Analysis of Scoliosis in Autism Spectrum Disorder

BACKGROUND

Children with autism/Asperger are grouped into the diagnosis of autism spectrum disorder (ASD). It remains uncertain whether children with ASD and scoliosis have radiographic and clinical outcomes similar to idiopathic scoliosis (IS) patients.

METHODS

A single-center, retrospective review of a prospective scoliosis registry evaluated patients who had a posterior spinal fusion±Anterior Spinal Fusion and an underlying diagnosis of ASD between 1990 and 2021. A 2:1 match with AIS patients by age and sex was compared using demographic, radiographic, intraoperative, and SRS-22/30 variables.

RESULTS

Thirty patients with ASD (63% male, mean age at surgery 14.6±2.5 y) met inclusion criteria, with a follow-up of 2.46±1.00 years. Despite no differences in curve magnitude preoperatively, patients with ASD had a higher percent correction at 2-year follow-up (66% vs. 57%, P =0.01) and improved mean curve magnitude (20±10 degrees) at 2-year follow-up compared with IS patients (27±11 degrees, P <0.01). ASD patients had less lumbar lordosis preoperatively (40±12 vs. 53±14, P <0.01), but there were no significant differences in sagittal parameters at 2-year follow-up. There were no significant differences in the rate of complications at 2-year follow-up between ASD and AIS cohorts.

CONCLUSIONS

Although patients with ASD exhibited decreased lordosis compared with IS patients preoperatively, their radiographic outcomes at 2-year follow-up were the same. In addition, ASD patients maintained greater curve correction than IS patients at 2 years follow-up.

LEVEL OF EVIDENCE

Prognostic retrospective study.

A Case of Class I 17p13.3 Microduplication Syndrome with Unilateral Hearing Loss

17p13 is a chromosomal region characterized by genomic instability due to high gene density leading to multiple deletion and duplication events. 17p13.3 microduplication syndrome is a rare condition, reported only in 40 cases worldwide, which is found in the Miller-Dieker chromosomal region, presenting a wide range of phenotypic manifestations. Usually, the duplicated area is de novo and varies in size from 1.8 to 4.0 Mbp. Critical genes for this region are PAFAH1B1 (#601545), YWHAE (#605066), and CRK (#164762). 17p13.3 microduplication syndrome can be categorized into two classes (Class I and Class II) based on the genes that are present in the duplicated area, which lead to different phenotypes. In this report, we present a new case of Class I 17p13.3 microduplication syndrome that presents with unilateral sensorineural hearing loss. Oligonucleotide and SNP array comparative genomic hybridization (a-CGH) analysis revealed a duplication of approximately 121 Kbp on chromosome 17p13.3, which includes YWHAE and CRK genes. Whole-exome sequencing (WES) analysis confirmed the duplication. Our patient has common clinical symptoms of Class I 17p13.3 microduplication syndrome, and in addition, she has unilateral sensorineural hearing loss. Interestingly, WES analysis did not detect any mutations in genes that are associated with hearing loss. The above findings lead us to propose that hearing loss is a manifestation of 17p13.3 duplication syndrome.

High overlap in patients diagnosed with hypermobile Ehlers-Danlos syndrome or hypermobile spectrum disorders with fibromyalgia and 40 self-reported symptoms and comorbidities

Background

Joint pain is a common symptom in patients with hypermobile Ehlers-Danlos Syndrome (hEDS), hypermobility spectrum disorders (HSD) and fibromyalgia. The goal of this study was to determine whether symptoms and comorbidities overlap in patients diagnosed with hEDS/HSD and/or fibromyalgia.

Methods

We retrospectively examined self-reported data from an EDS Clinic intake questionnaire in patients diagnosed with hEDS/HSD, fibromyalgia, or both vs. controls with an emphasis on joint issues.

Results

From 733 patients seen at the EDS Clinic, 56.5% (n = 414) were diagnosed with hEDS/HSD and fibromyalgia (Fibro), 23.8% (n = 167) hEDS/HSD, 13.3% (n = 98) fibromyalgia, or 7.4% (n = 54) none of these diagnoses. More patients were diagnosed with HSD (76.6%) than hEDS (23.4%). Patients were primarily White (95%) and female (90%) with a median age in their 30s (controls 36.7 [18.0, 70.0], fibromyalgia 39.7 [18.0, 75.0], hEDS/HSD 35.0 [18.0, 71.0], hEDS/HSD&Fibro 31.0 [18.0, 63.0]). There was high overlap in all 40 symptoms/comorbidities that we examined in patients diagnosed with fibromyalgia only or hEDS/HSD&Fibro, regardless of whether they had hEDS or HSD. Patients that only had hEDS/HSD without fibromyalgia had far fewer symptoms/comorbidities than patients with hEDS/HSD&Fibro. The top self-reported issues in patients that only had fibromyalgia were joint pain, hand pain when writing or typing, brain fog, joint pain keeping from daily activities, allergy/atopy and headache. Five issues that significantly and uniquely characterized patients diagnosed with hEDS/HSD&Fibro were subluxations (dislocations in hEDS patients), joint issues like sprains, the need to stop sports due to injuries, poor wound healing, and migraine.

Conclusion

The majority of patients seen at the EDS Clinic had a diagnosis of hEDS/HSD plus fibromyalgia that was associated with more severe disease. Our findings indicate that fibromyalgia should be routinely assessed in patients with hEDS/HSD and vis-a-versa to improve patient care.

The Human Extracellular Matrix Diseasome Reveals Genotype-Phenotype Associations with Clinical Implications for Age-Related Diseases

The extracellular matrix (ECM) is earning an increasingly relevant role in many disease states and aging. The analysis of these disease states is possible with the GWAS and PheWAS methodologies, and through our analysis, we aimed to explore the relationships between polymorphisms in the compendium of ECM genes (i.e., matrisome genes) in various disease states. A significant contribution on the part of ECM polymorphisms is evident in various types of disease, particularly those in the core-matrisome genes. Our results confirm previous links to connective-tissue disorders but also unearth new and underexplored relationships with neurological, psychiatric, and age-related disease states. Through our analysis of the drug indications for gene-disease relationships, we identify numerous targets that may be repurposed for age-related pathologies. The identification of ECM polymorphisms and their contributions to disease will play an integral role in future therapeutic developments, drug repurposing, precision medicine, and personalized care.

Finding the Proportion of Females with Autistic Spectrum Disorder Who Develop Anorexia Nervosa, the True Prevalence of Female ASD and Its Clinical Significance

It appears that up to 80% of females with autistic spectrum disorder (ASD) have not been diagnosed by the age of 18. This translates to a prevalence of about 5-6%, and if true, has serious implications for female mental health. One way of finding the true value is to use Bayes' Theorem with a comorbid condition as a more easily recognizable flag. An obvious choice is anorexia nervosa (AN), but it transpires that the proportion of women with ASD who develop AN is unknown. This study uses published data in novel ways to provide two methods of estimating a range for this variable, and gives a median value of 8.3% for AN in ASD and, with four other methods, a median prevalence of 6% for female ASD. The clinical implications of the diagnosis and management of ASD and its comorbidities are discussed and, as an example, a solution is provided for the rate of ASD in symptomatic generalized joint hypermobility. It is probable that one in six women with a mental health condition is autistic.

Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder

No genetic basis is currently established that differentiates hypermobility spectrum disorders (HSD) from hypermobile Ehlers–Danlos syndrome (hEDS). Diagnosis is entirely based on clinical parameters with high overlap, leading to frequent misdiagnosis of these two phenotypes. This study presents a landscape of DNA mutations through whole-exome sequencing of patients clinically diagnosed with generalized HSD. In this study, three genes (MUC3A, RHBG, and ZNF717) were mutated in all five patients evaluated. The functional enrichment analysis on all 1162 mutated genes identified the extracellular matrix (ECM) structural constituent as the primary overrepresented molecular function. Ingenuity pathway analysis identified relevant bio-functions, such as the organization of ECM and hereditary connective tissue disorders. A comparison with the matrisome revealed 55 genes and highlighted MUC16 and FREM2. We also contrasted the list of mutated genes with those from a transcriptomic analysis on data from Gene Expression Omnibus, with only 0.5% of the genes at the intersection of both approaches supporting the hypothesis of two different diseases that inevitably share a common genetic background but are not the same. Potential biomarkers for HSD include the five genes presented. We conclude the study by describing five potential biomarkers and by highlighting the importance of genetic/genomic approaches that, combined with clinical data, may result in an accurate diagnosis and better treatment.