Literature DB >> 34864659

Alterations in T-Cell Transcription Factors and Cytokine Gene Expression in Late-Onset Alzheimer's Disease.

Masoud Neshan1, Seyed Kazem Malakouti2, Leila Kamalzadeh2, Mina Makvand1, Arezoo Campbell3, Ghasem Ahangari1.   

Abstract

BACKGROUND: Late-onset Alzheimer's disease (LOAD) is associated with many environmental and genetic factors. The effect of systemic inflammation on the pathogenesis of neurodegenerative diseases such as AD has been strongly suggested. T helper cells (Th) are one of the important components of the immune system and can easily infiltrate the brain in pathological conditions. The development of each Th-subset depends on the production of unique cytokines and their main regulator.
OBJECTIVE: This study aimed to compare the mRNA levels of Th-related genes derived from peripheral blood mononuclear cells of LOAD patients with control. Also, the identification of the most important Th1/Th2 genes and downstream pathways that may be involved in the pathogenesis of AD was followed by computational approaches.
METHODS: This study involved 30 patients with LOAD and 30 non-demented controls. The relative expression of T-cell cytokines (IFN-γ, TNF-α, IL-4, and IL-5) and transcription factors (T-bet and GATA-3) were assessed using Real-time PCR. Additionally, protein-protein interaction (PPI) was investigated by gene network construction.
RESULTS: A significant decrease at T-bet, IFN-γ, TNF-α, and GATA-3 mRNA levels was detected in the LOAD group, compared to the controls. However, there was no significant difference in IL-4 or IL-5 mRNA levels. Network analysis revealed a list of the highly connected protein (hubs) related to mitogen-activated protein kinase (MAPK) signaling and Th17 cell differentiation pathways.
CONCLUSION: The findings point to a molecular dysregulation in Th-related genes, which can promising in the early diagnosis or targeted interventions of AD. Furthermore, the PPI analysis showed that upstream off-target stimulation may involve MAPK cascade activation and Th17 axis induction.

Entities:  

Keywords:  Alzheimer’s disease; LOAD; T helper cell; Th17 cell; cytokine; gene expression; mitogen-activated protein kinase; protein-protein interaction; transcription factor

Mesh:

Substances:

Year:  2022        PMID: 34864659     DOI: 10.3233/JAD-210480

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


  3 in total

Review 1.  Blood-Based Biomarkers for Alzheimer's Disease Diagnosis and Progression: An Overview.

Authors:  Angelica Varesi; Adelaide Carrara; Vitor Gomes Pires; Valentina Floris; Elisa Pierella; Gabriele Savioli; Sakshi Prasad; Ciro Esposito; Giovanni Ricevuti; Salvatore Chirumbolo; Alessia Pascale
Journal:  Cells       Date:  2022-04-17       Impact factor: 7.666

2.  Bioinformatics-Based Approach for Exploring the Immune Cell Infiltration Patterns in Alzheimer's Disease and Determining the Intervention Mechanism of Liuwei Dihuang Pill.

Authors:  Chenling Zhao; Zhangsheng Jiang; Liwei Tian; Lulu Tang; An Zhou; Ting Dong
Journal:  Dose Response       Date:  2022-07-21       Impact factor: 2.623

Review 3.  Th17 cells and inflammation in neurological disorders: Possible mechanisms of action.

Authors:  Yajun Shi; Bin Wei; Lingjun Li; Bin Wang; Miao Sun
Journal:  Front Immunol       Date:  2022-07-22       Impact factor: 8.786

  3 in total

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