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Wildfires, air pollution, autism and the EPA response

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Air pollution, specifically one part of air pollution called PM 2.5 (named for the size of the crud in the air pollution) has been linked to autism. It’s also been tied to cancer, heart disease, asthma, obesity, and premature births. Air pollution typically comes from industrial sources and car exhaust, but it can also be the result of smoke from wildfires. Four new studies this week link air pollution exposure during pregnancy to autism. The Environmental Protection Agency has responded by easing penalties on producers of this air pollution, making it much easier for everyone to be exposed to high levels of air pollution throughout their lives. This week’s podcast reviews the new evidence and examines new policies which will increase the burden of air pollution to families.

https://pubmed.ncbi.nlm.nih.gov/41547316

https://pubmed.ncbi.nlm.nih.gov/41443491

https://pubmed.ncbi.nlm.nih.gov/41271133

https://pubmed.ncbi.nlm.nih.gov/41557972

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Can COVID cause autism?

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This week, a new study suggests a causal link not between Tylenol, but to COVID, which can cause a fever. There is clearly more research needed, but the findings are consistent with research on the link between maternal illness and autism. Also, it’s well known that genetics plays a role in how symptoms of autism emerge and present. Can genetics also explain why some people are diagnosed later? What about cannabis exposure during pregnancy? Is it a factor in a later diagnosis? For more information, listen to this week’s ASF podcast.

https://pubmed.ncbi.nlm.nih.gov/41016606

https://www.nature.com/articles/s41586-025-09542-6

https://journals.sagepub.com/doi/10.1177/13623613251355257?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed

https://journals.lww.com/greenjournal/abstract/9900/neurodevelopmental_outcomes_of_3_year_old_children.1392.aspx

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Have you heard the good news?

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The National Institutes of Health just awarded $50million to 13 different research sites to better understand genetic and environmental contributions to an autism diagnosis, or increase in prevalence in autism, as well as environmental factors which improve the quality of life for children and adults with ASD.

You can read about them here or listen to this 30 minute podcast which summarizes them.

https://dpcpsi.nih.gov/autism-data-science-initiative/funded-research

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An update on why there are fewer autistic females compared to males

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This week, special podcast correspondent #MiaKotikovski summarizes new research on the increasing prevalence of autism, with a focus on females. While the number of diagnosed females is increasing faster than the number for males, females assigned at birth still are less likely to receive a diagnosis than males. Additional evidence points to females having more genetic mutations and lower cognitive ability, so the questions remain: Are there females with autism who are just not getting diagnosed despite having all the autism features? Why not? Does autism in females “look” the same as autism in males? What sets them apart? These articles are all featured in the year-end highlight of research, so this is the time to get a deep explanation of the latest in sex differences in #autism.

https://pubmed.ncbi.nlm.nih.gov/34563942

https://pubmed.ncbi.nlm.nih.gov/39334436

https://pubmed.ncbi.nlm.nih.gov/33966484

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Post-Pandemic Problems

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A few years after the start of the pandemic, and a couple of years into “recovery”, scientists are still disentangeling the effects of COVID-19 lockdowns and exposure. For example, is there an uptick in autism screen positives when pregnant mothers fell ill? Were there diagnostic disparities based on co-morbid conditions? Did autistic people feel better over time during the pandemic? This week’s #ASFpodcast explores these questions using new longitudinal data sets designed to better understand the long term impacts of the pandemic.

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/39312236

https://onlinelibrary.wiley.com/doi/10.1111/jar.13300

https://pubmed.ncbi.nlm.nih.gov/39228920

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Culturally sensitive care with Mia Kotikovski

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On this week’s podcast, Mia Kotivkoski, founder of her own 5013c and recent graduate of Stony Brook University, reviews why understanding cultural and contextual factors influence not just an autism diagnosis but general health and outcomes of a broad group of people. They include immigrants, racial and ethnic differences, and socio-economic factors. What can be done? Listen to this week’s podcast to learn more.

https://www.aacap.org/App_Themes/AACAP/Docs/resource_centers/cultural_diversity/competency_curriculum%20_cap_training/cases_supporting_materials/clinics/Bernier-psychopathology_families_and_culture-autism.pdf

https://www.sciencedirect.com/science/article/pii/S1750946718300758?via%3Dihub

https://www.researchgate.net/publication/258193289_The_Impact_of_Culture_on_Autism_Diagnosis_and_Treatment_Considerations_for_Counselors_and_Other_Professionals

https://www.maactearly.org/uploads/9/2/2/3/9223642/considering_culture_facilitatorguide_final_102116.pdf

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614360

https://www.scientificamerican.com/article/why-are-there-so-few-autism-specialists

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Machine Learning in Autism, Explained

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Thank you to Dennis Wall from Stanford University for explaining what Machine Learning is, how it’s related to Artificial Intelligence (today’s four buzz words) and how these new technologies are helping families get a diagnosis. He talks about the overall goals of these techniques, highlighting Cognoa’s CanvasDx to provide remote diagnoses to potentially reduce the waiting lists for families.

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Are new ICD-11 criteria for an autism diagnosis too vague?

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In the last version of the Diagnostic and Statistical Manual, the different subtypes of autism were folded into one label: autism spectrum disorder. A similar revision is being made around the International Classification of Diseases, the system the WHO uses across the world to describe autism and provide appropriate reimbursements for services and supports. In this version, the ICD-11, a combination of 300 different presentations of autism are described. A diagnosis can be made if 1 feature of social-communication and 1 feature of repetitive behaviors are documented, with an onset of any time in life. This is causing a lot of confusion in the community, because since the presentations are not specific to autism, it is difficult to provide an accurate diagnosis using the ICD-11. This week we talk to German psychiatrist Inge Kamp-Becker, MD, who outlines what the changes are, and how misdiagnosis can be made and what those consequences might be. Her summary is linked below.

https://www.nature.com/articles/s41380-023-02354-y

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Waitlists for waitlists

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Everyone who has looked for support for autism spectrum disorder is familiar with waitlists. Waitlists for evaluation, diagnosis, intervention, consultations and referrals. These waitlists prevent important opportunities for services and many groups developing technologies, policies, and approaches to reduce the waitlists or work around them. On this week’s podcast, we talk to Dr. Sharief Taraman from Cognoa to hear about their recent study on the scope of the problem on waitlists, what causes them, and how digital therapeutics may help them.

Waitlist Crisis Report