| 孙贇,马绍骏,陈蓄,汪海娅.新型血液蛋白标志物组合诊断中老年轻度认知障碍模型的建立与初步评估[J].老年医学与保健,2026,32(3):375-382 |
| 新型血液蛋白标志物组合诊断中老年轻度认知障碍模型的建立与初步评估 |
| Establishment and preliminary assessment of a model for diagnosis of mild cognitive impairment in middle-aged and elderly people by a novel combination of blood protein markers |
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| DOI：10.3969/j.issn.1008-8296.2026.03.010 |
| 中文关键词: 轻度认知障碍 蛋白质组学 生物标志物 诊断模型 |
| 英文关键词: mild cognitive impairment proteomics biomarker diagnostic model |
| 基金项目:202240041:上海市卫生健康委员会科研项目 |
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| 中文摘要: |
| 目的 筛选轻度认知障碍(MCI)的新型诊断生物标志物组合.方法 纳入2021 年1 月至 2022 年 1 月上海交通大学医学院附属第九人民医院老年病科的门诊就诊者50 例,将受试者分为 MCI 组(n=30)和健康对照组(n=20).收集患者的一般资料和实验室检查数据,采用简易精神状态检查(MMSE)评估认知功能.将数据集随机分为训练集(n=25)和测试集(n=25),并进行蛋白质组学差异蛋白分析,以筛选诊断 MCI 的新型生物标志物.结果 50 例受试者年龄为45～69 岁,平均(57.82±6.70)岁,其中男性19 例、女性 31 例.MMSE 得分为 24～30 分,平均(27.34±1.52)分.与健康对照组相比,MCI 组年龄较大,文化程度较低,高血压构成比较多,MMSE 得分较低,差异有统计学意义(P<0.05).训练集中有10 种差异蛋白过表达,27 种差异蛋白低表达;测试集中有12 种差异蛋白过表达,10 种差异蛋白低表达;全数据集中有12 种差异蛋白过表达,5 种差异蛋白低表达.筛选训练集、测试集和全数据集差异蛋白的交集蛋白,最终找到GGCT、HSPA13、HEXA 和 IGLV2-8 共4 种关键蛋白.这 4 种关键蛋白在训练集中的曲线下面积(AUC)分别为 0.768、0.750、0.779、0.714,在测试集中的 AUC 分别为0.748、0.750、0.795、0.773,在全数据集中的 AUC 分别为0.775、0.762、0.799、0.750.4 种关键蛋白在训练集、测试集和全数据集中联合诊断 MCI 的 AUC 分别为0.955、0.894、0.935.结论 GGCT、HSPA13、HEXA 和 IGLV2-8 4 种关键蛋白可能是诊断 MCI 的新型生物标志物. |
| 英文摘要: |
| Objective To screen novel diagnostic biomarker combinations for mild cognitive impairment(MCI).Methods From January 2021 to January 2022,50 outpatients were recruited from Department of Geriatrics of Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine and divided into MCI group(n=30)and healthy control group(n=20).Their general clinical information and laboratory examination results were collected.The mini-mental state examination(MMSE)scale was used to assess cognitive function.The dataset was randomly divided into training set(n=25)and testing set(n=25).Proteomic analysis of differentially expressed proteins was performed to screen novel biomarkers for the diagnosis of MCI.Results The50 subjects were aged45-69 years,with a mean age of(57.82±6.70)years,including 19 males and 31 females.Their MMSE scores ranged from 24 to 30,with a mean score of(27.34±1.52).Compared with the healthy control group,the MCI group was older,had a lower educational level,a higher proportion of patients with hypertension,and lower MMSE scores,with statistically significant differences(P<0.05).In the training set,10 differentially expressed proteins were upregulated and 27 were downregulated;in the testing set,12 were upregulated and 10 were downregulated;and in the total dataset,12 were upregulated and 5 were downregulated.By screening the intersection of differentially expressed proteins across the training,testing and total datasets,four key proteins were ultimately identified:GGCT,HSPA13,HEXA,and IGLV2-8.The areas under the curve(AUC)for these four proteins in the training set were 0.768,0.750,0.779 and 0.714,respectively;the AUCs in the testing set were 0.748,0.750,0.795 and 0.773,respectively;and the AUCs in the total dataset were 0.775,0.762,0.799 and 0.750,respectively.The combined diagnostic AUCs of these four key proteins for MCI were 0.955 in the training set,0.894 in the testing set and 0.935 in the total dataset.Conclusion The four key proteins(GGCT,HSPA13,HEXA,and IGLV2-8)may serve as novel biomarkers for the diagnosis of MCI. |
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