Assessing cognitive decline in Vietnamese older adults using the Montreal Cognitive Assessment-Basic (MoCA-B) and Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) during the COVID-19 pandemic: A feasibility study

Nguyen, Thanh Truc-Quynh; Hoang, Chau Bao Dinh; Le, Minh Dung Hoang; Vo, Ngoc Tram Anh; Quang, Halle; Nguyen, Christopher; Goodman, Claire; Pham, Van Luan; Tran, Trung Thu; Vo, Toi Van; Ha, Thi Thanh Huong

doi:10.1080/13854046.2023.2192418

Cited by 3 publications

(1 citation statement)

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“…With the limited diagnostic capacity of primary care facilities, especially in rural areas, the role of medical questionnaires became vital for AD screening. However, results from questionnaires like MMSE and MoCA can be influenced by the patient's literacy (Nguyen et al, 2023 ). With the illiteracy rate of the Vietnamese population in rural areas reaching 18%, neuropsychiatric tests are no longer the appropriate resolution (Hoi et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

Plasma cell-free RNA profiling of Vietnamese Alzheimer's patients reveals a linkage with chronic inflammation and apoptosis: a pilot study

Cao,

Le,

Tran

et al. 2023

Front. Mol. Neurosci.

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IntroductionCirculating cell-free RNA (cfRNA) is a potential hallmark for early diagnosis of Alzheimer's Disease (AD) as it construes the genetic expression level, giving insights into the pathological progress from the outset. Profiles of cfRNA in Caucasian AD patients have been investigated thoroughly, yet there was no report exploring cfRNAs in the ASEAN groups. This study examined the gap, expecting to support the development of point-of-care AD diagnosis.MethodscfRNA profiles were characterized from 20 Vietnamese plasma samples (10 probable AD and 10 age-matched controls). RNA reads were subjected to differential expression (DE) analysis. Weighted gene correlation network analysis (WGCNA) was performed to identify gene modules that were significantly co-expressed. These modules' expression profiles were then correlated with AD status to identify relevant modules. Genes with the highest intramodular connectivity (module membership) were selected as hub genes. Transcript counts of differentially expressed genes were correlated with key AD measures—MMSE and MTA scores—to identify potential biomarkers.Results136 genes were identified as significant AD hallmarks (p < 0.05), with 52 downregulated and 84 upregulated in the AD cohort. 45.6% of these genes are highly expressed in the hippocampus, cerebellum, and cerebral cortex. Notably, all markers related to chronic inflammation were upregulated, and there was a significant shift in all apoptotic markers. Three co-expressed modules were found to be significantly correlated with Alzheimer's status (p < 0.05; R2> 0.5). Functional enrichment analysis on these modules reveals an association with focal adhesion, nucleocytoplasmic transport, and metal ion response leading to apoptosis, suggesting the potential participation of these pathways in AD pathology. 47 significant hub genes were found to be differentially expressed genes with the highest connectivity. Six significant hub genes (CREB1, YTHDC1, IL1RL1, PHACTR2, ANKRD36B, RNF213) were found to be significantly correlated with MTA and MMSE scores. Other significant transcripts (XRN1, UBB, CHP1, THBS1, S100A9) were found to be involved in inflammation and neuronal death. Overall, we have identified candidate transcripts in plasma cf-RNA that are differentially expressed and are implicated in inflammation and apoptosis, which can jumpstart further investigations into applying cf-RNA as an AD biomarker in Vietnam and ASEAN countries.

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Section: Introductionmentioning

confidence: 99%