Nature Neuroscience: Autism subtypes identified using cross-species functional connectivity analyses

It is often assumed that phenotypic heterogeneity in autism reflects underlying pathobiological variation. However, direct evidence supporting this link is lacking. Leveraging cross-species functional neuroimaging, we show that brain dysconnectivity patterns in autism can be parsed into biologically dissociable subtypes.

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Factors associated with psychological distress among family caregivers of preschool children with autism: an analysis

ObjectiveTo identify factors associated with psychological distress among family caregivers of preschool-aged children with Autism Spectrum Disorder (ASD) using LASSO regression and random forest algorithms.MethodsA convenience sampling method was employed to recruit 213 caregivers of preschool-aged children with ASD from three institutions in Urumqi between December 2023 and October 2024. Participants completed a demographic questionnaire and the Symptom Checklist-90. Predictors were screened through LASSO regression, and a random forest risk assessment model was constructed and validated on the test set. A logistic regression model was simultaneously developed for comparative validation.ResultsThe top five factors associated with caregivers’ psychological distress are comorbid conditions in children with ASD, daily care hours, marital status, the severity of the child’s ASD, and employment status. The model outperformed logistic regression on both the training set (AUC = 0.845, sensitivity=0.893, specificity=0.913, accuracy=0.933, F1 score=0.901) and test set (AUC = 0.87, sensitivity=0.733, specificity=0.727, accuracy=0.710, F1 score=0.721). Decision curve analysis demonstrated clinical utility across threshold probability ranges of 0–0.85.ConclusionFactors associated with psychological distress among autism caregivers include comorbidity status, caregiving duration, marital status, disease severity, and employment status. These findings provide evidence-based guidance for early psychological intervention targeting high-risk caregivers.

Understanding the workplace needs of autistic adults in Singapore: insights to inform inclusive AI support

IntroductionAutistic adults face persistent challenges in obtaining and sustaining meaningful employment. Despite growing attention to workplace inclusion, research on autistic adults’ employment experiences in non-Western contexts remains scarce. The potential of emerging technologies, such as large language models (LLMs), to support workplace integration is also still largely unexplored, yet off-the-shelf models may reflect neurotypical norms that risk reinforcing masking or overlooking neurodivergent needs. This qualitative, participatory study therefore centered autistic adults’ perspectives to understand workplace experiences and identify potential LLM affordances that could facilitate integration.MethodsTwenty autistic adults with at least 3 months of work experience were recruited in Singapore. Data was collected through semi-structured group discussions. Using reflexive thematic analysis, we identified workplace challenges, needs, and potential support LLMs can provide. We had a multidisciplinary team of autistic and non-autistic researchers, and autistic perspectives actively shaped the design, conduct, and interpretation of the research.ResultsTwo overarching themes emerged: (1) assumed neurotypicality of the workplace, evident in work processes and social participation, and (2) need for workplace inclusivity, supported through both individual accommodations and systemic change, including identity-affirming support, alignment of work design and tools with neurodivergent working styles, empowered access to supports and accommodations, and shared responsibility for workplace integration. Potential LLM functionalities involve supporting executive functioning, encouraging self-reflection, and fostering mutual understanding between autistic employees and their coworkers.DiscussionWorkplace barriers for autistic employees often stem from assumed neurotypical norms rather than individual deficits. Participants reported challenges related to ambiguous work processes, implicit social expectations, and executive functioning demands, which reflect a mismatch between workplace structures and neurodivergent ways of working. Crucially, inclusivity cannot rely solely on individual accommodations; meaningful workplace inclusion requires systemic change. Designing LLM tools that align with neurodivergent working styles can complement systemic inclusivity efforts and empower autistic employees. Implications and future directions are discussed.

STAT+: 1 in 8 women drink during pregnancy. Experts dread the consequences

The idea of drinking during pregnancy sounds like a generational punchline: Someone’s grandmother drank beer to fatten her fetus, another had a nightly martini to get a healthy amount of sleep — presumably unthinkable behavior in today’s America. 

Yet after precipitous declines in the last 50 years, rates of alcohol use in pregnancy in the U.S. started climbing upward a decade ago. More than 1 in 8 pregnant adults reported drinking in the past month, according to STAT’s analysis of 2024 government data, making alcohol use a more common national phenomenon than gestational diabetes. Of those who drank, a quarter reported having four or more drinks in one sitting — binge drinking — in the prior month. 

While rates of alcohol use in pregnancy are lower in the U.S. than those of several peer nations, the effects are all around Americans. Alcohol is the key driver of what are, by some estimates, the nation’s top neurodevelopmental conditions: fetal alcohol spectrum disorders, or FASDs.

The exact prevalence of FASDs is difficult to measure, but the most recent federally funded community studies have found as many as 1 in 20 school-aged children may have a disorder caused by prenatal alcohol exposure. By comparison, about 1 in 31 American children has autism, per recent estimates from the Centers for Disease Control and Prevention.

Not all fetuses exposed to alcohol have birth defects or go on to develop intellectual disabilities, researchers say. But every person born with an FASD was harmed by alcohol specifically. They worry this point is being glossed over as Americans question the conventional medical advice of avoiding all alcohol while pregnant.

Continue to STAT+ to read the full story…

Drug Target for Fragile X Syndrome Identified Through Preclinical Study

UCLA Health researchers have identified a potential drug target for treating fragile X syndrome (FXS), the most common genetic cause of intellectual disability and autism that affects roughly one in 2,000 boys.

Fragile X syndrome is caused by a mutation in a single gene, FMR1, that results in the loss of a protein critical for normal brain development and function. Headed by Carlos Portera-Cailliau, MD, PhD, professor of neurology at UCLA and member of the UCLA Brain Research Institute, the researchers, the team’s work in genetically engineered mice lacking the Fmr1 gene identified the synaptic protein EPAC2 as a potential therapeutic target for fragile X syndrome. Their study showed that blocking EPAC2 in the fragile X mouse model restored abnormal patterns of brain activity and improved several FXS-associated behavioral symptoms.

Pertera-Cailliau is senior and corresponding author of the researchers published paper in Neuron, titled “Translatome profiling reveals opposing alterations in inhibitory and excitatory neurons of fragile X mice and identifies EPAC2 as a therapeutic target.”

Fragile X syndrome is a prototypical neurodevelopmental disorder (NDD) characterized by intellectual disability, social anxiety, atypical sensory processing characterized heightened sensitivity to sensory input such as sound and touch, and a higher risk of seizures. Many also meet the criteria for an autism spectrum disorder diagnosis. “Symptoms of fragile X syndrome (FXS), the leading monogenic cause of intellectual disability and autism, are thought to arise from an excitation/inhibition (E/I) imbalance,” the authors stated.

FXS is caused by mutations in the FMR1 gene, resulting in near complete loss of the fragile X messenger ribonucleoprotein (FMRP), an RNA-binding protein in neurons that plays different roles in cell compartments including the nucleus, axons and dendrites, including regulating mRNA translation at synapses, they explained. As it is caused by a change in a single gene, fragile X syndrome has long been considered a promising candidate for targeted therapies yet clinical trials to date have not produced an effective treatment. “Since the discovery of the genetic basis of FXS in 1991, several clinical trials have been undertaken—without success—and no specific treatments for FXS are currently available,” the investigators continued. “Thus, there is an urgent need to rethink therapeutic strategies for FXS.”

For their newly reported study the researchers used genetically engineered knockout (KO) mice that lack Fmr1 to simulate fragile X syndrome. Using genetic sequencing, they found that levels of the gene EPAC2 were increased in the brain of fragile X mice. This was of potential interest as a target for therapy because the gene’s protein, EPAC2, is localized to synapses and is known to be important for learning and memory.

The researchers then demonstrated that blocking EPAC2 in the fragile X mouse model, either genetically, or using an EPAC2 inhibitor compound, restored cortical circuit function and improved multiple behavioral symptoms associated with fragile X syndrome, including heightened sensitivity to touch, difficulties with social interaction and their susceptibility for seizures. “Perhaps the most exciting result is that treatment with an EPAC2 antagonist can rescue several behavioral phenotypes in Fmr1 KO mice,” the authors stated.

“EPAC2 emerged as an attractive target because it was consistently altered across multiple types of brain cells in our analysis,” said the study’s first author Anand Suresh, PhD, a post-doctoral fellow in the laboratory of Portera-Cailliau. “When we blocked it, either genetically or with a drug compound, we saw meaningful improvements in both brain circuit function and behavior.”

EPAC2 is expressed almost exclusively in the brain, which means drugs targeting it are less likely to cause unwanted effects elsewhere in the body. Suresh said this is an important consideration as researchers continue preclinical studies. “This bodes well for future preclinical trials and safety studies in humans, as compounds that target EPAC2 should not have off-target effects,” the authors stated in their report.

For their study the UCLA investigators used an RNA sequencing technique to examine gene activity separately in two major classes of brain cells: those that excite and those that inhibit neural activity. Fragile X syndrome is thought to arise from an imbalance between these two systems. The analysis revealed striking differences in how the genetic mutation underlying Fragile X syndrome affects each cell type but also identified a small set of genes, including the one that encodes EPAC2, that were dysregulated in both.

The researchers also found that EPAC2 levels appear to rise gradually as the brain matures, suggesting it may be a particularly relevant target for older children and adults with Fragile X syndrome, rather than only in early development. They concluded, “Our results should encourage the development of novel EPAC2 inhibitors for the treatment of FXS. More generally, our study exemplifies how transcriptomic approaches in animal models of neuropsychiatric conditions can be used to prioritize potential novel therapeutic targets.”

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Parsing autism spectrum heterogeneity through fMRI

Nature Neuroscience, Published online: 15 May 2026; doi:10.1038/s41593-026-02269-1

Autism is remarkably heterogeneous, posing a long-standing challenge for linking genetics to brain dynamics. A cross-species study identifies two principal dysconnectivity signatures across 20 mouse models of autism risk, each associated with distinct molecular pathways, and shows analogous connectivity patterns in autistic humans. These results establish a translational framework for biologically grounded fMRI phenotyping.