Evidence map›Paper›PMID 39653973›Full record

ArticleGeroScience2025

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

Siong Meng Lim, Yee Ling Ng, Abu Bakar Abdul Majeed, Maw Pin Tan, Hui Min Khor, Shahrul Bahyah Kamaruzzaman, Kalavathy Ramasamy

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Siong Meng LimCollaborative Drug Discovery Research (CDDR) Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM) Cawangan Selangor, Selangor Darul Ehsan, Kampus Puncak Alam, 42300, Bandar Puncak Alam, Malaysia.
Yee Ling NgCollaborative Drug Discovery Research (CDDR) Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM) Cawangan Selangor, Selangor Darul Ehsan, Kampus Puncak Alam, 42300, Bandar Puncak Alam, Malaysia.
Abu Bakar Abdul MajeedBrain Degeneration and Therapeutics Group, Faculty of Pharmacy, University Teknologi MARA (UiTM) Cawangan Selangor, Selangor Darul Ehsan, Kampus Puncak Alam, 42300, Bandar Puncak Alam, Malaysia.
Maw Pin TanDepartment of Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Hui Min KhorDepartment of Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Shahrul Bahyah KamaruzzamanDepartment of Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Kalavathy RamasamyCollaborative Drug Discovery Research (CDDR) Group, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM) Cawangan Selangor, Selangor Darul Ehsan, Kampus Puncak Alam, 42300, Bandar Puncak Alam, Malaysia. kalav922@uitm.edu.my.ORCID 0000-0002-1666-9230

Funding

Ministry of Higher Education, Malaysia LRGS/1/2019/UM/01/1/3
6 · The paper itself

Abstract

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.

Indexed as

Frail ElderlyFrailtyProteomicsAgedAged, 80 and overBiomarkersCognitionFemaleGeriatric AssessmentHumansLongitudinal StudiesMalaysiaMaleBiomarkersBloodCognitive frailtyLipid metabolismProteomic signatureRetinoid system

Identifiers

PMID39653973
PMCPMC12181567

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.