Literature DB >> 33623715

Dysregulated gene-associated biomarkers for Alzheimer's disease and aging.

Min Li1, Rongxin Geng2, Chen Li3, Fantao Meng3, Hongwei Zhao4, Jing Liu3, Juanjuan Dai5, Xuezhen Wang1.   

Abstract

Alzheimer's disease (AD), the most common type of dementia, is a neurodegenerative disorder with a hidden onset, including difficult early detection and diagnosis. Nevertheless, the new crucial biomarkers for the diagnosis and pathogenesis of AD need to be explored further. Here, the common differentially expressed genes (DEGs) were identified through a comprehensive analysis of gene expression profiles from the Gene Expression Omnibus (GEO) database. Furthermore, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that these DEGs were mainly associated with biological processes, cellular components, and molecular functions, which are involved in multiple cellular functions. Next, we found that 9 of the 24 genes showed the same regulatory changes in the blood of patients with AD compared to those in the GEO database, and 2 of the 24 genes showed a significant correlation with Montreal Cognitive Assessment scores. Finally, we determined that mice with AD and elderly mice had the same regulatory changes in the identified DEGs in both the blood and hippocampus. Our study identified several potential core biomarkers of AD and aging, which could contribute to the early detection, differential diagnosis, treatment, and pathological analysis of AD.
© 2021 Min Li et al., published by De Gruyter.

Entities:  

Keywords:  Alzheimer’s disease; aging; blood; differentially expressed genes; hippocampus

Year:  2021        PMID: 33623715      PMCID: PMC7885957          DOI: 10.1515/tnsci-2021-0009

Source DB:  PubMed          Journal:  Transl Neurosci        ISSN: 2081-6936            Impact factor:   1.757


  49 in total

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Journal:  Cell Rep       Date:  2014-06-06       Impact factor: 9.423

Review 5.  MicroRNAs, Aging, Cellular Senescence, and Alzheimer's Disease.

Authors:  P H Reddy; J Williams; F Smith; J S Bhatti; S Kumar; M Vijayan; R Kandimalla; C S Kuruva; R Wang; M Manczak; X Yin; A P Reddy
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Journal:  J Neurosci       Date:  2016-01-20       Impact factor: 6.167

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Authors:  Chen Li; Fantao Meng; Jacob C Garza; Jing Liu; Yun Lei; Sergei A Kirov; Ming Guo; Xin-Yun Lu
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9.  Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models.

Authors:  Ying-Wooi Wan; Rami Al-Ouran; Carl G Mangleburg; Thanneer M Perumal; Tom V Lee; Katherine Allison; Vivek Swarup; Cory C Funk; Chris Gaiteri; Mariet Allen; Minghui Wang; Sarah M Neuner; Catherine C Kaczorowski; Vivek M Philip; Gareth R Howell; Heidi Martini-Stoica; Hui Zheng; Hongkang Mei; Xiaoyan Zhong; Jungwoo Wren Kim; Valina L Dawson; Ted M Dawson; Ping-Chieh Pao; Li-Huei Tsai; Jean-Vianney Haure-Mirande; Michelle E Ehrlich; Paramita Chakrabarty; Yona Levites; Xue Wang; Eric B Dammer; Gyan Srivastava; Sumit Mukherjee; Solveig K Sieberts; Larsson Omberg; Kristen D Dang; James A Eddy; Phil Snyder; Yooree Chae; Sandeep Amberkar; Wenbin Wei; Winston Hide; Christoph Preuss; Ayla Ergun; Phillip J Ebert; David C Airey; Sara Mostafavi; Lei Yu; Hans-Ulrich Klein; Gregory W Carter; David A Collier; Todd E Golde; Allan I Levey; David A Bennett; Karol Estrada; T Matthew Townsend; Bin Zhang; Eric Schadt; Philip L De Jager; Nathan D Price; Nilüfer Ertekin-Taner; Zhandong Liu; Joshua M Shulman; Lara M Mangravite; Benjamin A Logsdon
Journal:  Cell Rep       Date:  2020-07-14       Impact factor: 9.423

10.  Brain-derived neurotrophic factor in 5-HT neurons regulates susceptibility to depression-related behaviors induced by subchronic unpredictable stress.

Authors:  Fantao Meng; Jing Liu; Juanjuan Dai; Min Wu; Wentao Wang; Cuilan Liu; Di Zhao; Hongcai Wang; Jingyan Zhang; Min Li; Chen Li
Journal:  J Psychiatr Res       Date:  2020-05-08       Impact factor: 4.791

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2.  Cryptotanshinone ameliorates CUS-induced depressive-like behaviors in mice.

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  2 in total

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