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    维生素B2、S-腺苷蛋氨酸和同型半胱氨酸对衰老相关认知功能减退的预测价值

    Predictive value of vitamin B2, S-adenosylmethionine, and homocysteine for age-related cognitive decline in elderly patients

    • 摘要: 目的 探讨维生素B2(VB2)、S-腺苷蛋氨酸(SAM)和同型半胱氨酸(Hcy)对老年患者(≥60岁)衰老相关认知功能减退的预测价值。方法 纳入2023年12月—2024年6月徐州医科大学附属医院老年医学科142例住院患者,使用简易精神状态量表(MMSE)和蒙特利尔认知评估量表(MoCA) 评估认知功能,根据有无认知障碍分为衰老相关认知障碍(ARCI)组和健康对照(HC)组。通过相关性分析探讨MMSE和MoCA评分与叶酸代谢物的相关性,并利用分层多元线性回归分析叶酸代谢物对认知功能的影响及预测价值。结果 ARCI 组在年龄、受教育年限、总胆红素、直接胆红素、总胆汁酸、TAU-181、β淀粉样蛋白(Aβ)1-42水平、总蛋白、MMSE 和 MoCA 评分上与HC组差异显著(P<0.05)。相关性分析结果示,MMSE和MoCA评分与血清VB2(r=0.354、0.314,P<0.001)、VB9(r=0.345、0.355,P<0.001)和SAM(r=0.424、0.399,P<0.001)水平呈正相关,与Hcy(r=-0.363、-0.325,P<0.001)水平呈负相关。分层多元线性回归结果示,VB2、SAM 和 Hcy 是衰老相关认知功能减退的预测因子(P<0.01),可解释MMSE和MoCA总方差的45.9%(F=9.05, P<0.001,R2= 0.459)和42.7%(F=10.375,P<0.001, R2=0.427)。结论 VB2、SAM和 Hcy对老年人群衰老相关认知功能减退有显著预测价值,可为早期风险评估提供参考依据。

       

      Abstract: Objective To explore the predictive value of vitamin B2 (VB2), S-adenosylmethionine (SAM), and homocysteine (Hcy) for age-related cognitive decline in elderly patients (≥60 years old). Methods A total of 142 hospitalized elderly patients from Department of Geriatrics, the Affiliated Hospital of Xuzhou Medical University, between December 2023 and June 2024 were included. Their cognitive function was assessed through the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). According to the presence of cognitive impairment, the patients were divided into two groups: an age-related cognitive impairment (ARCI) group and a healthy control (HC) group. Correlation analysis was conducted to explore the relationship between MMSE and MoCA scores, and folate metabolites. Furthermore, stratified multiple linear regression analysis was performed to assess the impact and predictive value of folate metabolites on cognitive function. Results Significant differences were observed between the ARCI group and the HC group in terms of age, education level, total bilirubin, direct bilirubin, total bile acids, TAU-181, Aβ1-42 levels, total albumin, MMSE, and MoCA scores (P<0.05). Correlation analysis showed that MMSE and MoCA scores were positively correlated with serum VB2 (r=0.354, 0.314; P<0.001), VB9 (r=0.345, 0.355; P<0.001), and SAM (r=0.424,0.399; P<0.001) levels, and negatively correlated with Hcy (r=-0.363, -0.325; P<0.001) levels. Stratified multiple linear regression analysis revealed that VB2, SAM, and Hcy were predictors of cognitive decline (P<0.01), explaining 45.9% of the variance in MMSE scores (F=9.05, P<0.001, R2=0.459) and 42.7% of the variance in MoCA scores (F=10.375, P<0.001, R2=0.427). Conclusions VB2, SAM, and Hcy have significant predictive value for age-related cognitive decline in the elderly population and can provide reference for early risk assessment.

       

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