Factors That Influence Heterogeity and How

Understanding factors that make each person with autism different has been a challenge, affecting diagnosis, interventions and the way we think about autism in general. Researchers at Istituto Italiano di Tecnologia, Rovereto, Italy, used computers to see how language, intellectual ability, motor and adaptive functioning grouped individuals into different categories. It turns out there are two groups – one group that improves over time and outperforms the other group consistently even in early life. The other group continues to struggle. These factors are not autism-specific, but do influence the creation of these different groups that are different biologically as well as behaviorally. This week’s podcast is an interview with the researchers on what it means for the future of understanding what might help what person at what time in their life.

The publication is open access and includes the model so their findings can be replicated widely: https://molecularautism.biomedcentral.com/articles/10.1186/s13229-024-00613-5

Profound Autism: The first meaningful autism subgroup

Instead of grouping together people with autism based on traditional severity scores, what if groupings were done based on functional outcome? Would this help better understand the broad spectrum of autism and why some people with autism are so different than others? Researchers at the University of Minnesota led by Kyle Sterrett, together with UCLA and UNC utilized a study that followed children with autism in the early 1990’s into their adulthood, in the 2020’s. They created and asked these families a set of questions (included in the manuscript below) to help identify levels of functioning in people with autism. This was done to help them and their families get the right support at right time. They found that these questions could differentiate people with Profound Autism based on things like level of independence and safety concerns. Dr. Sterrett talks with us on this week’s podcast to explain what they did and why it is so important.

https://pubmed.ncbi.nlm.nih.gov/39031157

“Emergent and Transactional” with Dr. Andrew Whitehouse

This week’s ASF podcast returns with a special guest: Dr. Andrew Whitehouse from the University of Western Australia talks about a new unifying theory of the spectrum of autism symptoms and features. It’s called “emergent and transactional”, and while the original author was Dr. Jonathan Green from the UK, Dr. Whitehouse wrote a clear explanation of what it means. He also provides his perspective on the broad spectrum of experiences, feelings and priorities in the autism community and how this new theory might bring together at least some of the views. We also discuss how courage and humility are needed by the entire community to reduce the vitriol.

https://pubmed.ncbi.nlm.nih.gov/37434277/

https://pubmed.ncbi.nlm.nih.gov/37438108/

Genetics does not equal eugenics

Sometimes when the autism community hears the words “genetics research”, it conjures up images of using genetics to eliminate people with autism. In fact, that’s not the goal of genetics research, nor is it even possible. Recently, several new studies were publish which illustrate how genetics can be used to help people understand their diagnosis, and receive more targeted supports. Special guest Jonathan Sebat from UCSD provides perspective on these findings and why genetics research is misunderstood.

https://pubmed.ncbi.nlm.nih.gov/35654973/

https://pubmed.ncbi.nlm.nih.gov/35654974/

https://www.genome.gov/event-calendar/irreducible-subjects-disability-and-genomics-in-the-past-present-and-future

This type of autism is not like the other – and here is data to show it

Identifying subtypes for autism and narrowing down the heterogeneity of symptoms has been considered the holy grail of autism research.  If one person with autism is not like another person with autism, can they at least be put into groups to speed up studies into causes, intervention and services?  And how?  This podcast explains two different studies that used the same statistical method but different children with autism to identify different groups.  One of the things that helped define these groups was verbal ability and IQ.  For the first time, comorbid symptoms like medical issues and psychiatric diagnoses  are being taken into account.  Already, this approach is helping scientists better understand why fever improves symptoms in some people with autism.