Interactions between the lipidome and genetic and environmental factors in autism

Busselton Health Study Investigators, Chloe X. Yap, Anjali K. Henders, Gail A. Alvares, Corey Giles, Kevin Huynh, Anh Nguyen, Leanne Wallace, Tiana McLaren, Yuanhao Yang, Leanna M. Hernandez, Michael J. Gandal, Narelle K. Hansell, Dominique Cleary, Rachel Grove, Claire Hafekost, Alexis Harun, Helen Holdsworth, Rachel Jellett, Feroza KhanLauren P. Lawson, Jodie Leslie, Mira Levis Frenk, Anne Masi, Nisha E. Mathew, Melanie Muniandy, Michaela Nothard, Jessica L. Miller, Lorelle Nunn, Lachlan T. Strike, Gemma Cadby, Eric K. Moses, Greig I. de Zubicaray, Paul M. Thompson, Katie L. McMahon, Margaret J. Wright, Peter M. Visscher, Paul A. Dawson, Cheryl Dissanayake, Valsamma Eapen, Helen S. Heussler, Andrew J.O. Whitehouse, Peter J. Meikle, Naomi R. Wray, Jacob Gratten

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Autism omics research has historically been reductionist and diagnosis centric, with little attention paid to common co-occurring conditions (for example, sleep and feeding disorders) and the complex interplay between molecular profiles and neurodevelopment, genetics, environmental factors and health. Here we explored the plasma lipidome (783 lipid species) in 765 children (485 diagnosed with autism spectrum disorder (ASD)) within the Australian Autism Biobank. We identified lipids associated with ASD diagnosis (n = 8), sleep disturbances (n = 20) and cognitive function (n = 8) and found that long-chain polyunsaturated fatty acids may causally contribute to sleep disturbances mediated by the FADS gene cluster. We explored the interplay of environmental factors with neurodevelopment and the lipidome, finding that sleep disturbances and unhealthy diet have a convergent lipidome profile (with potential mediation by the microbiome) that is also independently associated with poorer adaptive function. In contrast, ASD lipidome differences were accounted for by dietary differences and sleep disturbances. We identified a large chr19p13.2 copy number variant genetic deletion spanning the LDLR gene and two high-confidence ASD genes (ELAVL3 and SMARCA4) in one child with an ASD diagnosis and widespread low-density lipoprotein-related lipidome derangements. Lipidomics captures the complexity of neurodevelopment, as well as the biological effects of conditions that commonly affect quality of life among autistic people.
Original languageEnglish
Pages (from-to)936-949
Number of pages14
JournalNature Medicine
Issue number4
Publication statusPublished - 1 Apr 2023


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