Gut microbiota differences seen in people with autism may be due to dietary preferences

"There's a lot of interest surrounding the role of the gut microbiome in autism, but not a lot of hard evidence," says senior author Jacob Gratten, of Mater Research in partnership with The University of Queensland in Brisbane, Australia. "Our study, which is the largest to date, was designed to overcome some of the limitations of prior work."

Over the past decade, as next-generation sequencing of the microbial species in the gut has made analysis of the microbiome more automated and less-time consuming, a number of studies have examined the link between particular species of microbes in the gut and mental health. The gut-brain axis has been linked not only to ASD but also to anxiety, depression, and schizophrenia. The possibility of targeting the microbiota is a growing area of research for new treatments.

In the Cell study, the investigators analyzed stool samples from a total of 247 children between the ages of 2 and 17. The samples were collected from 99 children diagnosed with ASD, 51 paired undiagnosed siblings, and 97 unrelated, undiagnosed children. The subjects included in the analysis were from the Australian Autism Biobank and Queensland Twin Adolescent Brain Project.

The investigators analyzed the samples by metagenomic sequencing, which looks at the entire genome of microbial species rather than short genetic barcodes (as with 16S analysis). It also provides gene-level information rather than just species-level information, and provides a more accurate representation of microbiome composition than 16S analysis, a technique used in many of the earlier studies linking the microbiome to autism.

"We also carefully accounted for diet in all our analyses, along with age and sex," says first author Chloe Yap, an MD-PhD student who works with Gratten. "The microbiome is strongly affected by the environment, which is why we designed our study with two comparison groups."

Based on their analysis, the researchers found limited evidence for a direct association of autism with the microbiome. However, they did find a highly significant association of autism with diet and that an autism diagnosis was associated with less-diverse diet and poorer dietary quality. Moreover, psychometric measures of degree of autistic traits (including restricted interests, social communication difficulties, and sensory sensitivity) and polygenic scores (representing a genetic proxy) for ASD and impulsive/compulsive/repetitive behaviors were also related to a less-diverse diet.

"Taken together, the data support a strikingly simple and intuitive model, whereby autism-related traits promote restricted dietary preferences," Yap says. "This in turn leads to lower microbiome diversity and more diarrhea-like stool."

The researchers acknowledge several limitations to the current work. One is that the design of the study can't rule out microbiome contributions prior to ASD diagnosis, nor the possibility that diet-related changes in the microbiome have a feedback effect on behavior. Another is that they could only account for the possible effect of antibiotics on the microbiome by excluding those taking these medications at the time of stool collection. Finally, no comparable datasets are currently available to confirm the findings.

"We hope that our findings encourage others in the autism research community to routinely collect metadata in "omics" studies to account for important (but often underappreciated) potential confounders such as diet," Gratten says. "Our results also put the spotlight on nutrition for children diagnosed with autism, which is a clinically important (but underrecognized) contributor to overall health and wellbeing."

The researchers plan to generate new data in a larger sample to replicate their findings.

The authors acknowledge the financial support of the Cooperative Research Centre for Living with Autism (Autism CRC), established and supported under the Australian Government's Cooperative Research Centres Program. Additional funding support was provided by the Australian National Health and Medical Research Council, the Australian Research Council, and the University of Queensland.