» Articles » PMID: 39035156

A Multi-ethnic Proteomic Profiling Analysis in Alzheimer's Disease Identifies the Disparities in Dysregulation of Proteins and Pathogenesis

Overview
Journal PeerJ
Date 2024 Jul 22
PMID 39035156
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Alzheimer's disease (AD) is the most common type of dementia that affects the elderly population. Lately, blood-based proteomics have been intensively sought in the discovery of AD biomarkers studies due to the capability to link external environmental factors with the development of AD. Demographic differences have been shown to affect the expression of the proteins in different populations which play a vital role in the degeneration of cognitive function.

Method: In this study, a proteomic study focused on Malaysian Chinese and Malay prospects was conducted. Differentially expressed proteins (DEPs) in AD patients and normal controls for Chinese and Malays were identified. Functional enrichment analysis was conducted to further interpret the biological functions and pathways of the DEPs. In addition, a survey investigating behavioural practices among Chinese and Malay participants was conducted to support the results from the proteomic analysis.

Result: The variation of dysregulated proteins identified in Chinese and Malay samples suggested the disparities of pathways involved in this pathological condition for each respective ethnicity. Functional enrichment analysis supported this assumption in understanding the protein-protein interactions of the identified protein signatures and indicate that differentially expressed proteins identified from the Chinese group were significantly enriched with the functional terms related to Aβ/tau protein-related processes, oxidative stress and inflammation whereas neuroinflammation was associated with the Malay group. Besides that, a significant difference in sweet drinks/food intake habits between these two groups implies a relationship between sugar levels and the dysregulation of protein in the Malay group. Additional meta-analysis further supported the dysregulation of proteins , , and among AD groups.

Conclusion: These findings serve as a preliminary understanding in the molecular and demographic studies of AD in a multi-ethnic population.

References
1.
Prokopenko D, Morgan S, Mullin K, Hofmann O, Chapman B, Kirchner R . Whole-genome sequencing reveals new Alzheimer's disease-associated rare variants in loci related to synaptic function and neuronal development. Alzheimers Dement. 2021; 17(9):1509-1527. PMC: 8519060. DOI: 10.1002/alz.12319. View

2.
Bindea G, Mlecnik B, Hackl H, Charoentong P, Tosolini M, Kirilovsky A . ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics. 2009; 25(8):1091-3. PMC: 2666812. DOI: 10.1093/bioinformatics/btp101. View

3.
Smith E, Nilforooshan R, Weaving G, Tabet N . Plasma fetuin-A is associated with the severity of cognitive impairment in mild-to-moderate Alzheimer's disease. J Alzheimers Dis. 2011; 24(2):327-33. DOI: 10.3233/JAD-2011-101872. View

4.
Llano D, Devanarayan V, Simon A . Evaluation of plasma proteomic data for Alzheimer disease state classification and for the prediction of progression from mild cognitive impairment to Alzheimer disease. Alzheimer Dis Assoc Disord. 2012; 27(3):233-43. DOI: 10.1097/WAD.0b013e31826d597a. View

5.
Yao F, Zhang K, Zhang Y, Guo Y, Li A, Xiao S . Identification of Blood Biomarkers for Alzheimer's Disease Through Computational Prediction and Experimental Validation. Front Neurol. 2019; 9:1158. PMC: 6331438. DOI: 10.3389/fneur.2018.01158. View