Autism service barriers for Latine children and their families: a participatory approach to adapting autism diagnostic care

IntroductionLatine children from families with limited English proficiency (LEP) experience barriers to timely autism diagnosis resulting in persistent health inequities. This participatory mixed-methods study examined these barriers and identified multi-level strategies to adapt diagnostic care models for Spanish-speaking Latine families.MethodsParticipants included twelve caregivers of thirteen autistic children with parent reported diagnosis of autism, twelve clinicians, and six care coordinators. All participants completed surveys and participated in qualitative interviews or focus groups.ResultsQuantitative findings revealed significant lag between caregiver’s first developmental concern and diagnosis, limited autism knowledge, and difficulty navigating care. Qualitative results highlighted systemic barriers, including clinician-patient language discordance, interpreter inaccuracies and quality variability, cultural stigma, and long waitlists. Clinicians reported challenges with communicating about autism with Spanish-speaking families and emphasized language and cultural differences as primary barriers. Caregivers described social isolation, mistrust of health systems, and emotional distress compounded by immigration-related stressors.DiscussionFindings underscore the need for structural adaptation of care approaches beyond translation services.

Parental broad autism phenotype traits and executive function in families of children with autism spectrum disorder

BackgroundParents of children with autism spectrum disorder (ASD) frequently exhibit subclinical Broad Autism Phenotype (BAP) traits, though their relationship with executive function (EF) remains underexplored. This study investigated associations between parental BAP traits and their EF performance.MethodsThe Broad Autism Phenotype Questionnaire (BAPQ) was used to assess the BAP traits in parents of children with ASD and parents of healthy children. Among them 20 of the high-BAP ASD parents with a total BAPQ score exceeding 3.55 and 20 of the parents of typically developing children completed executive function tests. The researchers utilized the flanker, 2-back, and Task-switching paradigm to examine their EF. Correlations analysis was used to analyze BAP-EF relationships.ResultsThe self-reported questionnaires indicated that parents of children with ASD had significantly higher BAPQ scores than non-ASD’s parents, with fathers scoring 41.21% versus 15% (χ2 = 31.628, p < 0.01), and mothers 26.25% versus 8.37% (χ2 = 25.764, p < 0.01). Parents of ASD children exhibited significantly prolonged reaction times on the Flanker task (528.95 ± 78.90 ms vs. 426.80 ± 18.40 ms, T = 15.639, p<0.01), with BAPQ total scores positively correlating with slower responses (R² = 0.2325, p = 0.0313). Paradoxically, they demonstrated accelerated 2-Back incongruent reaction times (537.60 ± 80.21 ms vs. 665.70 ± 137.17 ms, T = 6.715, p=0.001) but reduced accuracy (0.947 ± 0.037 vs. 0.983 ± 0.016, T = 16.875, p<0.01), where BAPQ again correlated with reaction times (R² = 0.2318, p = 0.0316). Crucially, these associations were absent in controls, and BAPQ scores showed no relationship with task accuracy in either group.ConclusionsBAP traits are associated with attentional control challenges (indexed by Flanker Task) and a maladaptive speed-accuracy tradeoffs during working memory demands.

Targeted stool metabolomics suggests exploratory catecholamine- and tryptophan-linked metabolic features in autism spectrum disorder

BackgroundGut-brain axis dysregulation and microbiome-linked metabolic alterations have been implicated in autism spectrum disorder (ASD), but the contribution of gut-derived neuroactive metabolites remains incompletely characterized.MethodsWe conducted a cross-sectional case-control study of 59 participants (32 ASD, 27 controls) and quantified 18 stool metabolites related to catecholamine synthesis, inhibitory neurotransmission, and tryptophan-linked NAD+-precursor metabolism using targeted liquid chromatography-tandem mass spectrometry. Group differences were assessed using fold-change analysis and linear models adjusted for age and sex. Random forest models evaluated classification performance, and within-group Spearman correlations were used to examine metabolic relationships.ResultsNorepinephrine showed the largest increase in ASD, whereas dopamine and tetrahydrobiopterin exhibited nominal group differences that did not remain significant after correction for multiple testing. A three-metabolite panel comprising tetrahydrobiopterin, γ-aminobutyric acid, and kynurenine showed exploratory discrimination between groups (area under the receiver operating characteristic curve = 0.750, 95% confidence interval 0.622–0.878), but this performance requires external validation. Correlation analysis revealed conserved bile acid coupling in both groups. In controls, tryptophan was positively associated with kynurenine, whereas this relationship was not observed in ASD. Instead, ASD samples showed broader associations between tryptophan and metabolites linked to neurotransmission and NAD+-precursor metabolism.ConclusionStool metabolite profiling revealed altered organization of tryptophan- and catecholamine-linked metabolic associations in ASD and identified a small metabolite panel with exploratory discriminative potential. These findings provide a foundation for future studies examining gut-derived neuroactive metabolites in ASD and their relationship to gut-brain axis biology.

MH-POWER for College Students on the Spectrum

Conditions: College Students on the Autism Spectrum With Mental Health Challenges

Interventions: Behavioral: The MH-POWER program

Sponsors: University of Texas Rio Grande Valley; The American Occupational Therapy Foundation

Recruiting

Age-stratified multimodal MRI and machine learning to explore autism-related brain characteristics in youth

PurposeAutism is a common neurodevelopmental condition (NDC) that is characterized by restricted, repetitive behaviors and social communication differences that can impact the daily functioning of individuals. The clinical diagnosis of autism can be challenging, mainly due to its behavioral variability and frequent co-occurrence with other NDCs. This study investigates the ability of machine learning-based classification models trained using multimodal neuroimaging data combined with feature-importance analyses to identify development-specific brain characteristics associated with autism.ApproachA total of 144 participants aged 5 to 18 years with structural MRI (sMRI), diffusion MRI (dMRI), and resting-state functional MRI (rs-fMRI) data available were obtained from the Autism Brain Imaging Data Exchange (ABIDE) database. Radiomic features were extracted from each MRI data modality and used to train support vector machine (SVM) classifiers to identify neuroimaging patterns associated with autism. Single MRI modality classifiers, as well as one combining all three modalities, were trained for comparison purposes. To investigate age-specific effects, the same approach was followed for three age sub-groups: younger children (5–11 years), adolescents (12–18 years), and the entire 5–18 years age cohort. Model performance was evaluated using leave-one-out cross-validation across 30 diagnosis-balanced data splits. Feature-importance analyses were conducted to identify the most important neuroimaging features for classification.ResultsThe classification accuracies of the unimodal models ranged from 68.3% to 75.3% for sMRI, from 69.3% to 77.6% for dMRI, and from 66.3% to 69.9% for rs-fMRI data across age groups. Among all single imaging modalities and age groups, dMRI showed the highest performance with a 77.6% accuracy in younger children (5–11 years). The multimodal approach improved classification performance when compared to the unimodal models in all age groups, achieving accuracies of 78.9%, 76.7%, and 70.5% in the younger, adolescent, and entire age cohorts, respectively. Our findings indicate that multimodal classifiers integrating complementary structural, microstructural, and functional imaging features result in a more comprehensive representation of brain features that strengthens model performance. The most informative brain regions for classification differed between children and adolescents while several diffusion-derived features significantly correlated with social responsiveness scores, emphasizing the clinical importance of studying white and gray matter microstructure in autism.ConclusionsThis study demonstrates the potential of multimodal neuroimaging-based machine learning models to identify development-specific biomarkers associated with autism. The results highlight the value of integrating age-stratified analyses of multimodal neuroimaging to better capture autism-associated developmental brain characteristics. The framework adopted in this study could be extended to explore other NDCs in the future.

The burden of care, parenting stress, and navigating welfare services: parents’ everyday experiences of young children with autism spectrum disorder

BackgroundParenting a child with autism spectrum disorder (ASD) is demanding and affects all aspects of life, yet parents’ experiences during the child’s early years remain underexplored, especially from Scandinavian countries. This study examined parents’ experiences in a Scandinavian context characterized by strong parental involvement of both parents, extensive preschool coverage, and comprehensive welfare systems. Our aim was to explore how parents of preschool children experience everyday parenting and how these experiences shape parenting stress and family life.Materials and MethodsThirteen individual semi-structured interviews were conducted with mothers and fathers of children with ASD aged three to five. This study is part of the “Enabling Parents of Children with Autism Spectrum Disorders – A Randomized Controlled Study on Parenting Programs”, registered at Clinical-Trials.gov (ID: NCT05750095). Data were analyzed using Systematic Text Condensation, a descriptive and exploratory cross-case thematic approach.ResultsThree main categories were identified: “Everyday family life”, “Family and social networks”, and “Meeting the system in daily life”. Parents described continuous adaptation to their child’s needs; everyday life required continuous follow-up while managing concerns of siblings and the child’s safety. Experiences of participation and isolation coexisted, and parents frequently fostered understanding and acceptance of ASD while seeking practical and emotional support in everyday life. Preschool services and support were important. In their interactions with welfare services, parents often encounter bureaucratic complexity when seeking competence, stability, and flexibility.ConclusionParenting a young child with ASD is a dynamic process involving ongoing tasks, adaptation, and learning, strongly shaped by both the child’s needs and the coherence of the surrounding support systems. When services are fragmented, insufficient, or uncoordinated, the parental burden and stress increases, whereas moments of mastery and support foster resilience, underscoring the need for competent, flexible, and family−adapted services.

Gene Therapy Restores Brain Function and Behavior in Fragile X Syndrome

A University of California, Riverside-led research team has developed a gene therapy that restored production of a missing brain protein, corrected abnormalities in brain circuitry, and improved behavior in a mouse model of Fragile X syndrome (FXS). The study, published in the journal Molecular Therapy Nucleic Acids, tested an adeno-associated virus (AAV)-based therapy carrying a normal human version of the FMR1 gene to produce the Fragile X messenger ribonucleoprotein (FMRP) and found that early treatment normalized several measures of brain activity while improving social behavior, exploratory behavior, and cognitive flexibility.

“In a typical brain, FMRP acts like a brake or a volume control,” said senior author Iryna Ethell, PhD, a professor of biomedical sciences at the UC Riverside School of Medicine. “Without it, neural circuits become overactive and less efficient, which contributes to many of the developmental and behavioral challenges associated with FXS.”

FXS is the most common single-gene cause of autism spectrum disorder. According to the researchers, the disorder typically manifests from expansion of CGG repeats in the 5′ untranslated region of FMR1. The mutation causes methylation and silencing of the gene, leading to a major reduction or complete loss of FMRP, an RNA-binding protein that regulates numerous messenger RNAs involved in synapse formation, maturation, and function. Loss of the protein can lead to abnormal synaptic activity and increased cortical hyperexcitability.

FXS can produce sensory hypersensitivity, seizures, anxiety, intellectual disability, developmental delays, repetitive behaviors, and social communication difficulty. Current treatments for this syndrome don’t seek to cure it, rather they are aimed at managing the associated symptoms of anxiety, hyperactivity, irritability, aggression, depression, and seizures.

The therapy developed by the research team was designed to replace missing FMRP rather than repair the original mutation. To do this, the researchers used an AAV9 viral vector to deliver human FMR1 isoform 7, one of the most abundant forms of the protein found in the brain. The therapy was tested in newborn mice lacking FMRP via intracerebroventricular injections at either a low or high doses.

The work built on earlier research that explored the potential of AAV-mediated restoration of FMRP in rodent models. These prior studies used a range of viral serotypes, promoters, delivery routes, and FMRP isoforms and showed they could partially or completely correct specific biochemical, physiological, and behavioral abnormalities. The researchers noted that studies involving mouse and rat FMRP homologs had shown that restoring the protein could improve a range of Fragile X-related deficits.

The current study showed that high-dose treatment produced the strongest positive effects in the mouse models. Electroencephalography showed normalization of baseline gamma power, improvements in responses to sound, reduced background neural activity, and improved habituation to repeated auditory stimuli. The therapy also restored abnormal patterns of brain-wave coupling that have been associated with Fragile X-related dysfunction.

Behavioral testing showed that these improvements persisted into adulthood. Mice receiving the higher dose displayed normalized exploratory behavior, improved social preference, and better performance in probabilistic reversal learning, a measure of cognitive flexibility that requires adapting when previously rewarded behaviors stop producing rewards.

“Fragile X mice tend to persist with an old solution even after the rules change,” Ethell said. “After treatment, they became much better at adapting, performing similarly to mice with normal FMR1 function.”

The researchers noted that their work showed the importance of delivering at therapy for FXS early in its development. They said that widespread distribution of the potential new gene therapy throughout the brain was necessary to achieve a therapeutic benefit. There was a clear relationship between the proportion of neurons expressing the therapeutic gene and the degree of functional recovery, which indicated that restoring FMRP in a sufficient number of cortical cells is critical for correcting any behavioral deficits.

While a promising step, the investigators said that the work was a preclinical study and that future research will now focus on developing delivery methods that can of have broad distribution across the human brain. The team also believes their approach could have broader applications.

“Beyond FXS, the findings may provide a roadmap for treating other genetic neurodevelopmental disorders caused by the loss of a single critical protein,” Ethell said. “Our study shows it may be possible to restore function across complex brain networks by replacing a missing gene. That gives us reason to be optimistic about the future of genetic medicine.”

The post Gene Therapy Restores Brain Function and Behavior in Fragile X Syndrome appeared first on Inside Precision Medicine.

Brain-Infiltrating T Cells Linked to Social Deficits in Autism Mouse Model

The prevalence of autism spectrum disorder (ASD) is roughly one in 36 people, with a male-to-female ratio of 4:1. The disorder is known to be influenced by multiple factors, both genetic (gene mutations and copy number variations) and environmental, such as infections during pregnancy. However, the role of immunity in genetic ASD remains unclear.

One area of interest lies in lymphocytes—cells that are known to shape neurodevelopment and behavior. But their roles in neurodevelopmental disorders are not well defined.

Now, new research shows that a subset of T cells—γδ T cells—can infiltrate the brain and contribute to changes in social behavior in a genetic mouse model that mimics behavioral features of ASD. Depleting these cells from the brain increased sociability, suggesting that targeting abnormal immune function during neurodevelopment may offer interventions for ASD.

This work is published in Science Immunology in the paper, “CXCL16-mediated recruitment of γδ T cells to the brain reduces sociability in mice.”

Infections during pregnancy can induce the release of interleukin-17A (IL-17A) from T helper 17 cells and γδ T cells. Prior research has linked this type of maternal immune activation to neurodevelopmental disorders, but there is a lack of evidence connecting IL-17A and social behaviors in genetic mouse models.

To investigate this further, a team of researchers from the Division of Allergy and Immunology in the Medical Institute of Bioregulation at Kyushu University, in Fukuoka, Japan, studied 15q11-13 duplication (15q dup) mice—a mouse model that mimics a chromosome duplication found in some humans with ASD. These mice also demonstrate reduced social interactions, behavioral inflexibility, and increased anxiety-like behaviors.

The team analyzed immune cell populations in the brains of the 15q dup mice. Their findings suggest an increase in γδ T cells in the developing brains when compared with wild-type mice.

Using single-cell RNA sequencing (scRNA-seq), the team uncovered that this was most likely due to microglia in the brain expressing the chemokine CXCL16, which promotes immune cell migration. CXCL16 was highly expressed in the brains of 15q dup mice and contributed to increased infiltration of γδ T cells.

In addition, experiments revealed that deleting IL-17A–producing γδ T cells or blocking them with antibodies after birth increased sociability and reduced anxiety-like behaviors in the 15q dup mice.

Taken together, the authors note that these findings suggest that “immune dysregulation contributes to social behavior deficits in 15q dup mice, consistent with observations in maternal immune activation models, and may represent a potential target for interventions for ASD-associated differences in social behavior.”

The post Brain-Infiltrating T Cells Linked to Social Deficits in Autism Mouse Model appeared first on GEN – Genetic Engineering and Biotechnology News.

QAIAx (AIhealth4U) – AI Public Health Central: Microcity-A (re Quantum AI Agency Aka AI City Hall Project, UPSTO App Nos. 64/074,526, 64/063,557, 63/903,181, 63/729,428

Conditions: Asperger’s Disorder; Asperger Disorder; Autism Disorder; Autism; ADHD – Attention Deficit Disorder With Hyperactivity; ADHD; ASD; Alcohol Abuse/Dependence; Alcohol Addiction; Alcohol and Other Drug Use Disorders; Alcohol and Other Substance Use Prevention; Gambling Addiction; Gambling Disorder; Sex Abuse; Sex Behavior; Sex Crimes; Sex Disorder; Sex Disorders; Gender Dysphoria, Adult; Eating Behavior Disorders; Narcotic-Related Disorders; Narcotic Addiction; Narcissism; Psychiatric Disorder; Psychedelic Effects in Healthy Volunteers; Psychedelic Experiences; Psychedelic Drug Dependence; Marijuana Use Disorder; Marijuana Abuse and Dependence; Smoking (Tobacco) Addiction; Smoking Among Youth; Smoking Abstinence; Abstinence, Sex; Opiate Substitution Treatment; Opioid Abuse (Disorder); Opioid Abuse and Addiction; Cocaine Abuse; MDMA (‘Ecstasy’); Addiction Disorders; Homeless and Low Incomes People, Refugees; Homelessness; Reliability and Validity; Anger Problems; Child Abuse, Sexual

Interventions: Behavioral: AI City Hall Project (AIhealth4u – Public Health Central); Behavioral: AI City Hall Project (QAIAx Microcity A – AI Public Health Central)

Sponsors: Veterans Recovery Network Inc.; U.S. Special Operations Command; Central Virginia VA Health Care System; AI-119 Vulcan Project Research & Educational Technology Company (fka Henry Nanpei Academy Project)

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