Technical Study on Autism Microbiome

Over this weekend, we finally reached the threshold for citizen science to look at Autism (20+ symptom annotated uploads). This coming weekend I am attending a conference on Autism in Vancouver, British Columbia, Canada where Jason Hawrelak from Tasmania will be speaking (schedule below).

In preparation for this I decided to do a technical study comparing published studies on Autism and the results of citizen science. Is there agreement? What are the factors that come up with different results?

No photo description available.

Video Version

Source Data

Data comes from two sources (both are subject to change with time):

We had agreement on several items, namely:

We had disagreement on only one item:

  • Veillonella was high on citizen science and low on published studies

Age is a significant factor for both Bifidobacterium and Lactobacillus. Studies on autism under 6, 6-12 and older will have significantly different amounts. This may account for disagreement between published studies.

Critique of Published Studies

Reproducibility of studies is important. There are 17 Pub Med studies on the autism microbiome. If you look at Publish Studies, the same bacteria is only reported 7 times at most. Many bacteria are only reported once. Whether a bacteria is evaluated depends on the equipment being used, for example – Bilophila is reported as significant in 2 studies but Thryve 16s results do not report it.

The usual criteria is to detect statistical significance of averages between the target group and the control group. This requires some major, likely false, assumptions:

  • Representative samples in each group
  • Normal distribution of the bacteria in each group

A single outlier in a group can cause statistical significance to appear while a more sensitive (but require more effort) test like Pearson’s chi-squared test would find nothing to publish about. It is important to note that Pearson’s usually results in sample sizes of at least 20; many published studies do not have that number.

If I exclude non-matches with at least 2 studies with consistent results (a single study in 17 studies is likely unreliable), then we have the following not detected yet with Citizen Science (which have barely enough studies to do any analysis).

 Collinsella  
 Corynebacterium  
 Desulfovibrio  
  Dialister  
 Parabacteroides  
Prevotella  
 Sarcina  

On the flip side, Citizen Science reports on some bacteria not reported in published studies over 10 with high significance.

Autism Spectrum Disorder and the Gut Microbiota in Children: A Systematic Review [2020]

DNA SNPs and Microbiome Interaction

The microbiome and the person’s DNA interacts. Specific SNP issues are expected to manifest themselves in a person’s microbiome. This adds another level of complexity.

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Synaptic, transcriptional, and chromatin genes disrupted in autism (2014) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402723/

Bottom Line

Large representative samples and in depth skilled statistical analysis is needed to reliably identify the bacteria associated with a symptom, medical condition or characteristic.

From Publish Studies and Citizen Science, we have apparent agreement on 5 taxa, disagreement on 1, and silence in terms of repeatability on some 20 additional ones. I hope/ believe that as the number of samples in Citizen Science data set grows we will find more agreement with some of the published studies.

Below is a spreadsheet for interested parties.

References

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For people not aware of the Microbiome Prescription site, this gives an overview.