1
|
Tian Q, Yao S, Marron MM, Greig EE, Shore S, Ferrucci L, Shah R, Murthy VL, Newman AB. Shared plasma metabolomic profiles of cognitive and mobility decline predict future dementia. GeroScience 2024; 46:4883-4894. [PMID: 38829458 PMCID: PMC11336156 DOI: 10.1007/s11357-024-01228-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 05/27/2024] [Indexed: 06/05/2024] Open
Abstract
Experiencing decline in both cognition and mobility is associated with a substantially higher dementia risk than cognitive decline only. Metabolites associated with both cognitive and mobility declines may be early predictors of dementia and reveal specific pathways to dementia. We analyzed data from 2450 participants initially free of dementia who had 613 metabolites measured in plasma in 1998-1999 (mean age = 75.2 ± 2.9 years old, 37.8% Black, 50% women) from the Health, Aging and Body Composition study. Dementia diagnosis was determined by race-specific decline in 3MS scores, medication use, and hospital records through 2014. Cognition and mobility were repeatedly measured using 3MS and a 20-m walking test up to 10 years, respectively. We examined metabolite associations with changes in 3MS (n = 2046) and gait speed (n = 2019) using multivariable linear regression adjusted for age, sex, race, and baseline performance and examined metabolite associations with dementia risk using Cox regression. During a mean follow-up of 9.3 years, 534 (21.8%) participants developed dementia. On average, 3MS declined 0.47/year and gait declined 0.04 m/sec/year. After covariate adjustment, 75 metabolites were associated with cognitive decline, and 111 metabolites were associated with gait decline (FDR-adjusted p < 0.05). Twenty-six metabolites were associated with both cognitive and gait declines. Eighteen of 26 metabolites were associated with dementia risk (p < 0.05), notably amino acids, glycerophospholipids (lysoPCs, PCs, PEs), and sphingolipids. Results remained similar after adjusting for cardiovascular disease or apolipoprotein E ɛ4 carrier status. During aging, metabolomic profiles of cognitive decline and mobility decline show distinct and shared signatures. Shared metabolomic profiles suggest that inflammation and deficits in mitochondria and the urea cycle in addition to the central nervous system may play key roles in both cognitive and mobility declines and predict dementia. Future studies are warranted to investigate longitudinal metabolite changes and metabolomic markers with dementia pathologies.
Collapse
Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd M04B332, Baltimore, MD, 21224, USA.
| | - Shanshan Yao
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Megan M Marron
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erin E Greig
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd M04B332, Baltimore, MD, 21224, USA
| | | | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd M04B332, Baltimore, MD, 21224, USA
| | - Ravi Shah
- University of Michigan, Ann Arbor, MI, USA
| | | | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| |
Collapse
|
2
|
Qasrawi D, Al-Ghabkari A, Khan RM, Petrotchenko EV, Montero-Odasso M, Borchers CH. A Simplified Proteomics LC-MRM-MS Assay for Determination of apoE Genotypes in Plasma Samples. J Proteome Res 2024; 23:1144-1149. [PMID: 38412507 PMCID: PMC11002930 DOI: 10.1021/acs.jproteome.3c00557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 02/12/2024] [Accepted: 02/12/2024] [Indexed: 02/29/2024]
Abstract
Apolipoprotein E (apoE), a polymorphic plasma protein, plays a pivotal role in lipid transportation. The human apoE gene possesses three major alleles (ε2, ε3, and ε4), which differ by single amino acid (cysteine to arginine) substitutions. The ε4 allele represents the primary genetic risk factor for Alzheimer's disease (AD), whereas the ε2 allele protects against the disease. Knowledge of a patient's apoE genotype has high diagnostic value. A recent study has introduced an LC-MRM-MS-based proteomic approach for apoE isoform genotyping using stable isotope-labeled peptide internal standards (SIS). Here, our goal was to develop a simplified LC-MRM-MS assay for identifying apoE genotypes in plasma samples, eliminating the need for the use of SIS peptides. To determine the apoE genotypes, we monitored the chromatographic peak area ratios of isoform-specific peptides relative to a peptide that is common to all apoE isoforms. The assay results correlated well with the standard TaqMan allelic discrimination assay, and we observed a concordance between the two methods for all but three out of 172 samples. DNA sequencing of these three samples has confirmed that the results of the LC-MRM-MS method were correct. Thus, our simplified UPLC-MRM-MS assay is a feasible and reliable method for identifying apoE genotypes without using SIS internal standard peptides. The approach can be seamlessly incorporated into existing quantitative proteomics assays and kits, providing additional valuable apoE genotype information. The principle of using signal ratios of the protein isoform-specific peptides to the peptide common for all of the protein isoforms has the potential to be used for protein isoform determination in general.
Collapse
Affiliation(s)
- Deema
O. Qasrawi
- Segal
Cancer Proteomics Centre, Lady Davis Institute for Medical Research,
Jewish General Hospital, McGill University, Montreal, Québec H3T 1E2, Canada
| | - Abdulhameed Al-Ghabkari
- Rosalind
and Morris Goodman Cancer Institute, McGill
University, Montreal, Québec H3A 1A3, Canada
| | - Rania M. Khan
- Segal
Cancer Proteomics Centre, Lady Davis Institute for Medical Research,
Jewish General Hospital, McGill University, Montreal, Québec H3T 1E2, Canada
| | - Evgeniy V. Petrotchenko
- Segal
Cancer Proteomics Centre, Lady Davis Institute for Medical Research,
Jewish General Hospital, McGill University, Montreal, Québec H3T 1E2, Canada
| | - Manuel Montero-Odasso
- Gait
and Brain Lab, Parkwood Institute, Lawson
Health Research Institute, London, Ontario N6C 0A7, Canada
- Department
of Medicine, Division of Geriatric Medicine, Schulich School of Medicine
& Dentistry, University of Western Ontario, London, Ontario N6A 5C1, Canada
- Department
of Epidemiology and Biostatistics, Schulich School of Medicine &
Dentistry, University of Western Ontario, London, Ontario N6A 5C1, Canada
| | - Christoph H. Borchers
- Segal
Cancer Proteomics Centre, Lady Davis Institute for Medical Research,
Jewish General Hospital, McGill University, Montreal, Québec H3T 1E2, Canada
- Segal
Cancer
Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec H3T 1E2, Canada
- Division
of Experimental Medicine, McGill University, Montreal, Québec H4A 3J1, Canada
- Gerald
Bronfman Department of Oncology, Lady Davis Institute for Medical
Research, Jewish General Hospital, Montreal, Québec H3T 1E2, Canada
- Department
of Pathology, McGill University, Montreal, Québec H3A 2B4, Canada
| |
Collapse
|
3
|
Das S. Omics Approaches in Alzheimer's Disease Research. J Alzheimers Dis 2024; 99:S183-S185. [PMID: 38640162 DOI: 10.3233/jad-240272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Affiliation(s)
- Sudeshna Das
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|