Cerebral Gray and White Matter Monogalactosyl Diglyceride Levels Rise with the Progression of Alzheimer’s Disease
Year: 2023
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Multiple studies have reported brain lipidomic abnormalities in Alzheimer's disease (AD) that affect glycerophospholipids, sphingolipids, and fatty acids. However, there is no consensus regarding the nature of these abnormalities, and it is unclear if they relate to disease progression. OBJECTIVE: Monogalactosyl diglycerides (MGDGs) are a class of lipids which have been recently detected in the human brain. We sought to measure their levels in postmortem human brain and determine if these levels correlate with the progression of the AD-related traits. METHODS: We measured MGDGs by ultrahigh performance liquid chromatography tandem mass spectrometry in postmortem dorsolateral prefrontal cortex gray matter and subcortical corona radiata white matter samples derived from three cohorts of participants: the Framingham Heart Study, the Boston University Alzheimer's Disease Research Center, and the Arizona Study of Aging and Neurodegenerative Disorders/Brain and Body Donation Program (total n = 288). RESULTS: We detected 40 molecular species of MGDGs (including diacyl and alkyl/acyl compounds) and found that the levels of 29 of them, as well as total MGDG levels, are positively associated with AD-related traits including pathologically confirmed AD diagnosis, clinical dementia rating, Braak and Braak stage, neuritic plaque score, phospho-Tau AT8 immunostaining density, levels of phospho-Tau396 and levels of Aβ40. Increased MGDG levels were present in both gray and white matter, indicating that they are widespread and likely associated with myelin-producing oligodendrocytes-the principal cell type of white matter. CONCLUSIONS: Our data implicate the MGDG metabolic defect as a central correlate of clinical and pathological progression in AD.
Source: Journal of Alzheimer s Disease
DOI: 10.3233/jad-230543
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: U.S. Department of Veterans Affairs, Arizona Department of Health Services, Arizona Biomedical Research Commission, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke
Awards: G1083877947, G1372526153, G1606131442, G1735617348, G2141006894, G2161113364, Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approaches, G250621538, G253265979, G278200998, G3228411741, G3250808129, G3251040009, G3405256882, G3521153818, G4541629867, G463086544, G4976486911, G5164707915, MicroRNAs as Diagnostic and Prognostic Biomarker of Alzheimer's Disease, G6030318873, The Framingham Heart Study, Arizona Alzheimer's Disease Core Center, G7310125909, Boston University Alzheimer's Disease Center, National Brain and Tissue Resource for Parkinson's Disease and Related Disorders, G7836467104, G7924111682, G8683204365, G9000087364, G9000087686, G9000124674, G9000159448, G9000190144, Arizona Alzheimer's Disease Research Center, G961669115
OpenAlex ID: W4386768815
