Literature DB >> 32807513

An integrated approach to unravel a putative crosstalk network in Alzheimer's disease and Parkinson's disease.

Indu Bisht1, Rashmi K Ambasta1, Pravir Kumar2.   

Abstract

Integration of multiple profiling data and construction of functional regulatory networks provide a powerful approach to uncover functional relationships and significant molecular entities from transcriptomic data, highlighting the molecular mechanisms of complex diseases. Despite having an overlap in the neuropathologies of AD and PD, the molecular entities overlapped and mechanisms behind them are less known. Here we used an integrated strategy to analyze miRNA and gene transcriptomic data to understand the role of miRNAs and genes in regulatory activities taking place in cells, and find transcriptomic signatures linking AD and PD. We preprocessed and analyzed publicly available microarray datasets and identified 97 DEGs and 21 DEmiRs that may be involved in the overlapped mechanisms between these two disorders. Among the DEGs, we found HSPA9, PGK1, SDHC, FH, DLD, YWHAZ and ACLY as the major protein-coding genes involved in the crosstalk for AD-PD pathogenesis. Further we integrated these DEGs and DEmiRs with regulatory TFs to construct an overlapped dysregulated network of AD and PD. In the network, miR-27a-3p, miR-148a-3p and miR-15a-5p were found to be the most relevant with maximum interactions, describing their significance in the potential crosstalk. We also looked into the dysregulated biological processes and pathways overlapped in AD and PD. In conclusion, we highlighted the DEGs, DEmiRs, their interactions and related pathways overlapped in AD and PD pathogenesis, also describing a potential crosstalk at molecular level. Besides, our findings can further be used for molecular studies to reveal an assured AD-PD crosstalk.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alzheimer’s disease (AD); Crosstalk; Functional enrichment analysis; Integrated network; Parkinson’s disease (PD); Protein-coding genes; microRNAs

Mesh:

Substances:

Year:  2020        PMID: 32807513     DOI: 10.1016/j.npep.2020.102078

Source DB:  PubMed          Journal:  Neuropeptides        ISSN: 0143-4179            Impact factor:   3.286


  3 in total

1.  Profiling of Differentially Expressed MicroRNAs in Saliva of Parkinson's Disease Patients.

Authors:  Yanyan Jiang; Jing Chen; Yunchuang Sun; Fan Li; Luhua Wei; Wei Sun; Jianwen Deng; Yun Yuan; Zhaoxia Wang
Journal:  Front Neurol       Date:  2021-11-26       Impact factor: 4.003

2.  Accelerated aging-related transcriptome alterations in neurovascular unit cells in the brain of Alzheimer's disease.

Authors:  Yan Zhao; Yong-Zhi Xie; You-Shuo Liu
Journal:  Front Aging Neurosci       Date:  2022-08-18       Impact factor: 5.702

3.  Revealing the Modular Similarities and Differences Among Alzheimer's Disease, Vascular Dementia, and Parkinson's Disease in Genomic Networks.

Authors:  Yafei Chen; Qiong Liu; Jun Liu; Penglu Wei; Bing Li; Nongyun Wang; Zhenquan Liu; Zhong Wang
Journal:  Neuromolecular Med       Date:  2021-06-12       Impact factor: 3.843

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.