Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/25301
Title: Concordant peripheral lipidome signatures in two large clinical studies of Alzheimer's disease.
Austin Authors: Huynh, Kevin;Lim, Wei Ling Florence;Giles, Corey;Jayawardana, Kaushala S;Salim, Agus;Mellett, Natalie A;Smith, Adam Alexander T;Olshansky, Gavriel;Drew, Brian G;Chatterjee, Pratishtha;Martins, Ian;Laws, Simon M;Bush, Ashley I;Rowe, Christopher C ;Villemagne, Victor L ;Ames, David;Masters, Colin L ;Arnold, Matthias;Nho, Kwangsik;Saykin, Andrew J;Baillie, Rebecca;Han, Xianlin;Kaddurah-Daouk, Rima;Martins, Ralph N;Meikle, Peter J
Affiliation: National Ageing Research Institute, Parkville, VIC, 3050, Australia
School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
Rosa & Co LLC, San Carlos, CA, USA
Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
Monash University, Melbourne, VIC, 3800, Australia
Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
Melbourne School of Global and Population Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
KaRa Institute of Neurological Disease, Sydney, NSW, Australia
Cooperative research Centre (CRC) for Mental Health, Sydney, NSW, Australia
Collaborative Genomics Group, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia
The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
Molecular Imaging and Therapy
Medicine (University of Melbourne)
School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
Australian Alzheimer's Research Foundation, Nedlands, WA, Australia
Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
Department of Medicine, Duke University, Durham, NC, USA
Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany..
Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
Issue Date: 10-Nov-2020
metadata.dc.date: 2020-11-10
Publication information: Nature Communications 2020; 11(1): 5698
Abstract: Changes to lipid metabolism are tightly associated with the onset and pathology of Alzheimer's disease (AD). Lipids are complex molecules comprising many isomeric and isobaric species, necessitating detailed analysis to enable interpretation of biological significance. Our expanded targeted lipidomics platform (569 species across 32 classes) allows for detailed lipid separation and characterisation. In this study we examined peripheral samples of two cohorts (AIBL, n = 1112 and ADNI, n = 800). We are able to identify concordant peripheral signatures associated with prevalent AD arising from lipid pathways including; ether lipids, sphingolipids (notably GM3 gangliosides) and lipid classes previously associated with cardiometabolic disease (phosphatidylethanolamine and triglycerides). We subsequently identified similar lipid signatures in both cohorts with future disease. Lastly, we developed multivariate lipid models that improved classification and prediction. Our results provide a holistic view between the lipidome and AD using a comprehensive approach, providing targets for further mechanistic investigation.
URI: https://ahro.austin.org.au/austinjspui/handle/1/25301
DOI: 10.1038/s41467-020-19473-7
ORCID: 0000-0001-6170-2207
0000-0002-8988-2147
0000-0003-4877-1958
0000-0002-2390-1501
0000-0002-4355-7082
0000-0001-8259-9069
0000-0002-4666-0923
0000-0002-1376-8532
0000-0003-3966-6320
0000-0002-8615-2413
0000-0003-1858-5732
0000-0002-2593-4665
PubMed URL: 33173055
Type: Journal Article
Appears in Collections:Journal articles

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