Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort

The present study explored for the first time the blood-based proteomic signature that could potentially distinguish older adults with and without cognitive frailty (CF). The participants were recruited under the Malaysian Elders Longitudinal Research (MELoR) study. Cognition and physical frailty we...

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Published in:GeroScience
Main Author: Lim S.M.; Ng Y.L.; Majeed A.B.A.; Tan M.P.; Khor H.M.; Kamaruzzaman S.B.; Ramasamy K.
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211797068&doi=10.1007%2fs11357-024-01462-z&partnerID=40&md5=3e65ba18af1497a81d81353da3de3061
id 2-s2.0-85211797068
spelling 2-s2.0-85211797068
Lim S.M.; Ng Y.L.; Majeed A.B.A.; Tan M.P.; Khor H.M.; Kamaruzzaman S.B.; Ramasamy K.
Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
2024
GeroScience


10.1007/s11357-024-01462-z
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211797068&doi=10.1007%2fs11357-024-01462-z&partnerID=40&md5=3e65ba18af1497a81d81353da3de3061
The present study explored for the first time the blood-based proteomic signature that could potentially distinguish older adults with and without cognitive frailty (CF). The participants were recruited under the Malaysian Elders Longitudinal Research (MELoR) study. Cognition and physical frailty were determined using the Montreal Cognitive Assessment (MoCA) and Fried’s criteria, respectively. The differential protein expression in the blood samples (38 CF vs 40 robust) were then determined using the Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH) analysis. A total of 294 proteins were found to be differentially expressed in the CF group as opposed to the robust group. Considering proteins with fold change (FC) ≥ ± 2 and p-values < 0.05, 13 proteins were significantly upregulated and nine proteins significantly downregulated in the CF group when compared to the robust group. Subsequent correlation analysis identified nine dysregulated proteins, namely APOA1, APOA2, APOA4, APOC1, APOE, GPX3, RBP4, SERPINC1 and TTR, to exhibit significantly and moderately strong correlations with parameters of cognitive and/or frailty assessments. These proteins could potentially serve as useful proteomic signature of CF given their sensitivity > 78%, specificity > 75%, accuracy > 80% and area under the curve (AUC) > 0.8. The major biological pathways that could be potentially dysregulated by the nine proteins were associated with lipid metabolism and the retinoid system. The present findings warrant further validation in future studies that involve a larger cohort. © The Author(s), under exclusive licence to American Aging Association 2024.
Springer Science and Business Media Deutschland GmbH
25092715
English
Article

author Lim S.M.; Ng Y.L.; Majeed A.B.A.; Tan M.P.; Khor H.M.; Kamaruzzaman S.B.; Ramasamy K.
spellingShingle Lim S.M.; Ng Y.L.; Majeed A.B.A.; Tan M.P.; Khor H.M.; Kamaruzzaman S.B.; Ramasamy K.
Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
author_facet Lim S.M.; Ng Y.L.; Majeed A.B.A.; Tan M.P.; Khor H.M.; Kamaruzzaman S.B.; Ramasamy K.
author_sort Lim S.M.; Ng Y.L.; Majeed A.B.A.; Tan M.P.; Khor H.M.; Kamaruzzaman S.B.; Ramasamy K.
title Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
title_short Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
title_full Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
title_fullStr Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
title_full_unstemmed Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
title_sort Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort
publishDate 2024
container_title GeroScience
container_volume
container_issue
doi_str_mv 10.1007/s11357-024-01462-z
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211797068&doi=10.1007%2fs11357-024-01462-z&partnerID=40&md5=3e65ba18af1497a81d81353da3de3061
description The present study explored for the first time the blood-based proteomic signature that could potentially distinguish older adults with and without cognitive frailty (CF). The participants were recruited under the Malaysian Elders Longitudinal Research (MELoR) study. Cognition and physical frailty were determined using the Montreal Cognitive Assessment (MoCA) and Fried’s criteria, respectively. The differential protein expression in the blood samples (38 CF vs 40 robust) were then determined using the Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH) analysis. A total of 294 proteins were found to be differentially expressed in the CF group as opposed to the robust group. Considering proteins with fold change (FC) ≥ ± 2 and p-values < 0.05, 13 proteins were significantly upregulated and nine proteins significantly downregulated in the CF group when compared to the robust group. Subsequent correlation analysis identified nine dysregulated proteins, namely APOA1, APOA2, APOA4, APOC1, APOE, GPX3, RBP4, SERPINC1 and TTR, to exhibit significantly and moderately strong correlations with parameters of cognitive and/or frailty assessments. These proteins could potentially serve as useful proteomic signature of CF given their sensitivity > 78%, specificity > 75%, accuracy > 80% and area under the curve (AUC) > 0.8. The major biological pathways that could be potentially dysregulated by the nine proteins were associated with lipid metabolism and the retinoid system. The present findings warrant further validation in future studies that involve a larger cohort. © The Author(s), under exclusive licence to American Aging Association 2024.
publisher Springer Science and Business Media Deutschland GmbH
issn 25092715
language English
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