Publications

Our purpose

Our research seeks to enhance understanding and drive forward innovative strategies for diagnosis and treatment.

Our research centers on pioneering studies that explore the biological and neurological foundations of autism spectrum disorder. By uncovering new insights, we aim to develop advanced diagnostic tools and personalized strategies that improve care and support for individuals and their families.

Jun
2017

Nature Communications

10.1038/ncomms15493

Fetal and postnatal metal dysregulation in autism

The first research to show autism-related dysregulation happens in utero, this twin study investigated biomarkers in baby teeth and found prenatally-formed growth rings distinguished children who would later develop autism. The team even found these distinctions between identical twins, signaling that autism is a genetic AND an environmental disorder.


May
2018

Science Advances

10.1126/sciadv.aat1293

Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder

Conducted in the U.S., Sweden and the U.K., this study explored the impact of zinc, copper and other elements on metabolic dynamics. These signatures helped researchers develop a classification algorithm that predicts autism with 90% accuracy – proof of concept for an advanced diagnostic device.


Sep
2019

Translational Psychiatry

10.1038/s41398-019-0567-6

Dynamical properties of elemental metabolism distinguish attention deficit hyperactivity disorder from autism spectrum disorder

This work showed that biomarkers can distinguish between autism and attention deficit hyperactivity disorder (ADHD). Though these conditions can display similar phenotypes, the underlying pathology is different, making differential diagnoses essential.

Dec
2022

Journal of Clinical Medicine

10.3390/jcm11237154

Elemental Dynamics in Hair Accurately Predict Future Autism Spectrum Disorder Diagnosis: An International Multi-Center Study

Built on their previous research in teeth, researchers found molecular signals for autism in hair, at birth. While hair and teeth biomarkers carry the same molecular traits, hair can be collected at any age, making it a much better source. Based on this data, the FDA granted Breakthrough Designation to ClearStrand ASD, the only diagnostic test that can detect autism in infants.

Jan
2023

Journal of Clinical Medicine

doi: 10.3390/jcm12031022

Associations between elemental metabolic dynamics and default mode network functional connectivity are altered in autism.

This study compared StrandDx-ASD to fMRI measurements in children with and without autism. The researchers found this non-genomic diagnostic identified brain function changes based on biochemical signatures in hair, showing hair biomarkers correlate with quantitative brain function measures associated with autism.

Learn how to leverage our platform for your clinical trials

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