Risk Prediction Performance of the Thai Cardiovascular Risk Score for Mild Cognitive Impairment in Adults with Metabolic Risk Factors in Thailand

Buawangpong, Nida; Aramrat, Chanchanok; Pinyopornpanish, Kanokporn; Phrommintikul, Arintaya; Soontornpun, Atiwat; Jiraporncharoen, Wichuda; Pliannuom, Suphawita; Angkurawaranon, Chaisiri

doi:10.3390/healthcare10101959

Cited by 6 publications

(6 citation statements)

References 57 publications

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“…1B C, SFig 1 A B); we selected three mazes to evaluate learning and memory abilities, namely, the water maze, Y-maze and open eld test, and the results of all three maze tests suggested that diabetic rats experienced a decrease in learning memory as the disease progressed (Fig. 1D E F; SFig 1 C D E); These results suggested the successful establishment of the DACD model and were consistent with currently available extensive literature showing that a hyperglycemic environment can induce cognitive dysfunction [49,50].Cognitive dysfunction in diabetes mainly involves the hippocampus [51,52], which is mainly responsible for learning and memory abilities of an organism [53]. Therefore, we examined the hippocampal morphology of model rats, and HE staining revealed that the number of hippocampal neurons was signi cantly decreased and these neurons were irregularly arranged after the onset of diabetes (Fig.…”

Section: Resultssupporting

confidence: 84%

NEDD4L-Sp1 ubiquitination inhibits GlyT1 to promote prominent hippocampal neuronal damage and apoptosis, leading to cognitive dysfunction in diabetic rats

Yang

Zhū

et al. 2023

Preprint

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Diabetes-associated cognitive dysfunction(DACD) is one of the neurological complications of diabetes, and it mainly involves the hippocampal region of the brain and affects the learning and memory functions of the body. There are many studies on the pathogenesis of DACD, but there is a lack of in-depth studies on the underlying molecular mechanism, which poses a great challenge to drug development. In this study, we focused on the molecular mechanism by which signal transduction by the glycine transporter GlyT1 participates in the development of DACD and systematically elucidated the processes of synaptic plasticity and apoptosis in hippocampal neurons. The results showed that when neurons were exposed to a high-glucose environment, low levels of GlyT1 inhibited the activation of the PI3K/AKT/mTOR pathway to promote neuronal apoptosis; additionally, GlyT1 regulated NMDR expression to regulate glycine concentrations in order to reduce synaptic plasticity. The transcription factor Sp1 bound to the GlyT1 promoter region and regulated GlyT1 expression, so we explored whether Sp1 expression was regulated by the protease-ubiquitin system, resulting in decreased Sp1 levels.In conclusion, In conclusion, our study systematically demonstrated the biological function and molecular mechanism by which GlyT1 participates in DACD development, elucidated the upstream and downstream mechanisms of GlyT1 regulation, provided reliable molecular targets for DACD treatment, and enhanced the understanding of the mechanism underlying DACD development.

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Section: Resultssupporting

confidence: 84%

NEDD4L-Sp1 ubiquitination inhibits GlyT1 to promote prominent hippocampal neuronal damage and apoptosis, leading to cognitive dysfunction in diabetic rats

Yang

Zhū

et al. 2023

Preprint

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“…A total of 22 studies described 15 CVD prediction models ( Kannel et al, 1976 ; D’Agostino et al, 1994 , 2008 ; Conroy et al, 2003 ; Sacco et al, 2009 ; Lloyd-Jones et al, 2010 ; Reitz et al, 2010 ; Goff et al, 2014 ; Jee et al, 2014 ; Maclagan et al, 2014 ; Tsao and Vasan, 2015 ; Yang et al, 2016 ; Dufouil et al, 2017 ; Hageman et al, 2021 ; Buawangpong et al, 2022 ). Among them were two models without evaluation ( Lloyd-Jones et al, 2010 ; Maclagan et al, 2014 ).…”

Section: Resultsmentioning

confidence: 99%

“…Others found AUC or C-statistics ranging from 0.51 to 0.86. Except for the Thai Cardiovascular Risk score (TCVR) ( Buawangpong et al, 2022 ), most of the models demonstrated good to acceptable discrimination (Receiver Operator Characteristic Curve>0.7). No studies exhibited a low risk of bias owing to insufficient analytical domain reporting ( Tables 5 , 6 ).…”

Section: Resultsmentioning

confidence: 99%

“…The results were ambiguous. AUC was the prognostic performance metric in only four studies ( Viticchi et al, 2017 ; Buawangpong et al, 2022 ; Schaich et al, 2022 ; Zheng et al, 2022 ). More studies just analyzed β efficiency.…”

Section: Resultsmentioning

confidence: 99%

“…Except for Framingham models, we concluded that nine specific CVD risk models may be associated with dementia and cognitive decline. Five CVD risk models were designed for a single country ( Bao-Shan et al, 2021 ; Jeon et al, 2021 ; Buawangpong et al, 2022 ; Zheng et al, 2022 ; Mun et al, 2023 ). KPS, TCVR, the China-PAR, SCORE2, and the CANHEART health index were developed to measure cardiovascular risk among Korean, Thai, Chinese, European, and Canadian populations.…”

Section: Resultsmentioning

confidence: 99%

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Cardiovascular disease risk models and dementia or cognitive decline: a systematic review

Jia,

Wang,

Huang

et al. 2023

Front. Aging Neurosci.

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BackgroundHealth cognitive promotion and protection is a critical topic. With the world’s aging population and rising life expectancy, there will be many people living with highly age-related dementia illnesses. Cardiovascular disease (CVD) and dementia share the same risk factors, such as unhealthy lifestyles and metabolic factors. These recognized risks associated with CVD and dementia frequently co-occur. CVD risk models may have a close association with dementia and cognitive decline. So, this systematic review aimed to determine whether CVD risk models were connected with dementia or cognitive decline and compare the predictive ability of various models.MethodsPubMed, Web of Science, PsychINFO, Embase, Cochrane Library, CNKI, Sinomed, and WanFang were searched from 1 January 2014 until 16 February 2023. Only CVD risk models were included. We used the Newcastle-Ottawa scale (NOS) for the quality assessment of included cohort studies and the Agency for Healthcare Research and Quality (AHRQ) for cross-sectional studies. The Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement’s guidelines were followed in this systematic study.ResultsIn all, 9,718 references were screened, of which 22 articles were included. A total of 15 CVD risk models were summarized. Except for the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) health index, the other 14 CVD risk models were associated with dementia and cognitive decline. In comparison, different CVD risk models and domain-specific cognitive function correlation variation depended on cohort characteristics, risk models, cognitive function tests, and study designs. Moreover, it needed to be clarified when comparing the predicting performance of different CVD risk models.ConclusionIt is significant for public health to improve disease risk prediction and prevention and mitigate the potential adverse effects of the heart on the brain. More cohort studies are warranted to prove the correlation between CVD risk models and cognitive function. Moreover, further studies are encouraged to compare the efficacy of CVD risk models in predicting cognitive disorders.

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A household survey of the prevalence of subjective cognitive decline and mild cognitive impairment among urban community-dwelling adults aged 30 to 65

Pinyopornpanish,

Buawangpong,

Soontornpun

et al. 2024

Sci Rep

Self Cite

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While it is possible to detect cognitive decline before the age of 60, and there is a report indicating that certain cognitive abilities peak in one's 30s, the evidence regarding cognitive problems in populations younger than 65 years is scarce. This study aims to (1) determine the proportion of community-dwelling adults with different cognitive status, and (2) determine the prevalence of neuropsychiatric behaviors. A population-based survey was conducted in Chiang Mai, Thailand. Individuals aged 30 to 65 were recruited and assessed for demographic data, memory complaints, cognitive performance, and neuropsychiatric symptoms using self-reported questionnaires. In a total of 539 participants, 33.95% had mild cognitive impairment (MCI), 7.05% had subjective cognitive decline (SCD), and 52.50% had neuropsychiatric symptoms. The risk of MCI increased with age, and neuropsychiatric symptoms were significantly higher in those with MCI or SCD than in those without (p < 0.001). The most common complaints were sleep problems, anxiety, and irritability. Screening for MCI in adults aged < 65 years might be useful. However, further investigation on the appropriate age to screen and the program’s cost-effectiveness is suggested.

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Risk Prediction Performance of the Thai Cardiovascular Risk Score for Mild Cognitive Impairment in Adults with Metabolic Risk Factors in Thailand

Cited by 6 publications

References 57 publications

NEDD4L-Sp1 ubiquitination inhibits GlyT1 to promote prominent hippocampal neuronal damage and apoptosis, leading to cognitive dysfunction in diabetic rats

NEDD4L-Sp1 ubiquitination inhibits GlyT1 to promote prominent hippocampal neuronal damage and apoptosis, leading to cognitive dysfunction in diabetic rats

Cardiovascular disease risk models and dementia or cognitive decline: a systematic review

A household survey of the prevalence of subjective cognitive decline and mild cognitive impairment among urban community-dwelling adults aged 30 to 65

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