Literature DB >> 26890750

Integrated Analysis of Alzheimer's Disease and Schizophrenia Dataset Revealed Different Expression Pattern in Learning and Memory.

Wen-Xing Li1,2, Shao-Xing Dai2, Jia-Qian Liu2, Qian Wang2, Gong-Hua Li2, Jing-Fei Huang2,3,4.   

Abstract

Alzheimer's disease (AD) and schizophrenia (SZ) are both accompanied by impaired learning and memory functions. This study aims to explore the expression profiles of learning or memory genes between AD and SZ. We downloaded 10 AD and 10 SZ datasets from GEO-NCBI for integrated analysis. These datasets were processed using RMA algorithm and a global renormalization for all studies. Then Empirical Bayes algorithm was used to find the differentially expressed genes between patients and controls. The results showed that most of the differentially expressed genes were related to AD whereas the gene expression profile was little affected in the SZ. Furthermore, in the aspects of the number of differentially expressed genes, the fold change and the brain region, there was a great difference in the expression of learning or memory related genes between AD and SZ. In AD, the CALB1, GABRA5, and TAC1 were significantly downregulated in whole brain, frontal lobe, temporal lobe, and hippocampus. However, in SZ, only two genes CRHBP and CX3CR1 were downregulated in hippocampus, and other brain regions were not affected. The effect of these genes on learning or memory impairment has been widely studied. It was suggested that these genes may play a crucial role in AD or SZ pathogenesis. The different gene expression patterns between AD and SZ on learning and memory functions in different brain regions revealed in our study may help to understand the different mechanism between two diseases.

Entities:  

Keywords:  Alzheimer’s disease; gene expression; learning or memory; schizophrenia

Mesh:

Year:  2016        PMID: 26890750     DOI: 10.3233/JAD-150807

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  11 in total

1.  Different impairment of immune and inflammation functions in short and long-term after ischemic stroke.

Authors:  Wen-Xing Li; Fei Qi; Jia-Qian Liu; Gong-Hua Li; Shao-Xing Dai; Tao Zhang; Fei Cheng; Dahai Liu; Song Guo Zheng
Journal:  Am J Transl Res       Date:  2017-02-15       Impact factor: 4.060

2.  Integrated analysis of 10 lymphoma datasets identifies E2F8 as a key regulator in Burkitt's lymphoma and mantle cell lymphoma.

Authors:  An-Ping Yang; Leyna G Liu; Min-Min Chen; Fang Liu; Hua You; Lian Liu; Hua Yang; Yang Xun; Jing Liu; Rui-Xue Wang; David D Brand; Dahai Liu; Song Guo Zheng; Wen-Xing Li
Journal:  Am J Transl Res       Date:  2019-07-15       Impact factor: 4.060

3.  Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets.

Authors:  Wen-Xing Li; Kan He; Ling Tang; Shao-Xing Dai; Gong-Hua Li; Wen-Wen Lv; Yi-Cheng Guo; San-Qi An; Guo-Ying Wu; Dahai Liu; Jing-Fei Huang
Journal:  Oncotarget       Date:  2017-01-24

4.  Comprehensive integrated analysis of gene expression datasets identifies key anti-cancer targets in different stages of breast cancer.

Authors:  Meng-Ting Gong; Shou-Dong Ye; Wen-Wen Lv; Kan He; Wen-Xing Li
Journal:  Exp Ther Med       Date:  2018-06-07       Impact factor: 2.447

5.  Integrated identification of key genes and pathways in Alzheimer's disease via comprehensive bioinformatical analyses.

Authors:  Tingting Yan; Feng Ding; Yan Zhao
Journal:  Hereditas       Date:  2019-07-16       Impact factor: 3.271

6.  Transcriptome integration analysis and specific diagnosis model construction for Hodgkin's lymphoma, diffuse large B-cell lymphoma, and mantle cell lymphoma.

Authors:  Wen-Xing Li; Shao-Xing Dai; San-Qi An; Tingting Sun; Justin Liu; Jun Wang; Leyna G Liu; Yang Xun; Hua Yang; Li-Xia Fan; Xiao-Li Zhang; Wan-Qin Liao; Hua You; Luca Tamagnone; Fang Liu; Jing-Fei Huang; Dahai Liu
Journal:  Aging (Albany NY)       Date:  2021-04-22       Impact factor: 5.682

7.  Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets.

Authors:  Wen-Xing Li; Shao-Xing Dai; Qian Wang; Yi-Cheng Guo; Yi Hong; Jun-Juan Zheng; Jia-Qian Liu; Dahai Liu; Gong-Hua Li; Jing-Fei Huang
Journal:  PeerJ       Date:  2016-09-15       Impact factor: 2.984

Review 8.  Low expression of aging-related NRXN3 is associated with Alzheimer disease: A systematic review and meta-analysis.

Authors:  Jun-Juan Zheng; Wen-Xing Li; Jia-Qian Liu; Yi-Cheng Guo; Qian Wang; Gong-Hua Li; Shao-Xing Dai; Jing-Fei Huang
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

9.  COL6A6 interacted with P4HA3 to suppress the growth and metastasis of pituitary adenoma via blocking PI3K-Akt pathway.

Authors:  Ruiqing Long; Zhuohui Liu; Jinghui Li; Hualin Yu
Journal:  Aging (Albany NY)       Date:  2019-10-17       Impact factor: 5.682

10.  Systematic metabolic analysis of potential target, therapeutic drug, diagnostic method and animal model applicability in three neurodegenerative diseases.

Authors:  Wen-Xing Li; Gong-Hua Li; Xin Tong; Peng-Peng Yang; Jing-Fei Huang; Lin Xu; Shao-Xing Dai
Journal:  Aging (Albany NY)       Date:  2020-05-27       Impact factor: 5.682

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