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Development and validation of a 13-gene signature associated with immune function for the detection of Alzheimer's disease

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收录情况： ◇ SCIE

作者：
Zhu Min[1,2] * ; Hou Tingting[1,2,*1] ; Jia Longfei[3] ; Tan Qihua[4] ; Qiu Chengxuan[1,5,*2] ; Du Yifeng[1,2,*1] ;
机构： [1]Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China [2]Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China [3]Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China [4]Department of Public Health, Epidemiology and Biostatistics, University of Southern Denmark, Odense, Denmark [5]Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
出处：
DOI： 10.1016/j.neurobiolaging.2022.12.014
ISSN：

摘要：
Current knowledge of Alzheimer's disease (AD) etiology and effective therapy remains limited. Thus, the identification of biomarkers is crucial to improve the detection and treatment of patients with AD. Using robust rank aggregation method to analyze the microarray data from Gene Expression Omnibus database, we identified 1138 differentially expressed genes in AD. We then explored 13 hub genes by weighted gene co-expression network analysis, least absolute shrinkage, and selection operator, and logistic regression in the training dataset. The detection model, which composed of CD163, CDC42SE1, CECR6, CSF1R, CYP27A1, EIF4E3, H2AFJ, IFIT2, IL10RA, KIAA1324, PSTPIP1, SLA, and TBC1D2 genes, along with APOE gene, showed that the area under the curve for detecting AD was 0.821 (95% confidence interval [CI] = 0.782-0.861) and the model was validated in ADNI dataset (area under the curve = 0.776; 95%CI = 0.686-0.865). Notably, the 13 genes in the model were highly enriched in immune function. These findings have implications for the detection and therapeutic target of AD.Copyright © 2022. Published by Elsevier Inc.

基金：
The present study was supported in part by grants from the Brain Science and Brain-Like Intelligence Technology Research Projects of China (grant no.: 2021ZD0201801 and 2021ZD0201808), the National Key R&D Program of China (grant no.: 2017YFC1310100 and 2022YFC3501404); the National Nature Science Foundation of China (grant no.: 81861138008, 81772448, 82011530139, 82171175, and 82200980); the Academic Promotion Program of Shandong First Medical University (grant no.: 2019QL020); the Integrated Traditional Chinese and Western Medicine Program in Shandong Province (grant no.: YXH2019ZXY008); the Natural Science Foundation of Shandong Province (grant no.: ZR2021MH392 and ZR2021QH240), the Postdoctoral Innovation Project of Shandong Province, the Technology Development Plan Project of Jinan City (grant no.: 202134028); the Shandong Provincial Key Research and Development Program (grant no.: 2021LCZX03); and the Taishan Scholar Program of Shandong Province, China. C Qiu received grants from the Swedish Research Council (grant no.: 2017-05819 for the China-Sweden Joint Research Projects and 2020-01574 for the research project), and the Swedish Foundation for International Cooperation in Research and Higher Education (STINT) (grant no.: CH2019-8320) for the Joint China-Sweden Mobility program, and Karolinska Institutet, Stockholm, Sweden.
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外文
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中科院(CAS)分区：
出版当年[2022]版：
大类 | 2 区 医学
小类 | 2 区 神经科学 3 区 老年医学
最新[2023]版：
大类 | 3 区 医学
小类 | 3 区 老年医学 3 区 神经科学
JCR分区：
出版当年[2021]版：
Q2 GERIATRICS & GERONTOLOGY Q2 NEUROSCIENCES
最新[2023]版：
Q2 GERIATRICS & GERONTOLOGY Q2 NEUROSCIENCES

影响因子： 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者：
第一作者机构： [1]Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China [2]Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
通讯作者：
通讯机构： [1]Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China [2]Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China [5]Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden [*1]Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, Jinan, Shandong 250021, China [*2]Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet, Tomtebodavägen 18A, SE-171 65 Solna, Sweden
推荐引用方式(GB/T 7714)：
Zhu Min,Hou Tingting,Jia Longfei,et al.Development and validation of a 13-gene signature associated with immune function for the detection of Alzheimer's disease[J].NEUROBIOLOGY OF AGING.2023,125:62-73.doi:10.1016/j.neurobiolaging.2022.12.014.
APA：
Zhu Min,Hou Tingting,Jia Longfei,Tan Qihua,Qiu Chengxuan&Du Yifeng.(2023).Development and validation of a 13-gene signature associated with immune function for the detection of Alzheimer's disease.NEUROBIOLOGY OF AGING,125,
MLA：
Zhu Min,et al."Development and validation of a 13-gene signature associated with immune function for the detection of Alzheimer's disease".NEUROBIOLOGY OF AGING 125.(2023):62-73

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