Cargando…

Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are well-known neuronal degenerative disorders that share common pathological events. Approved medications alleviate symptoms but do not address the root cause of the disease. Energy dysfunction in the neuronal population leads to various patholo...

Descripción completa

Detalles Bibliográficos
Autores principales: Dharshini, S. Akila Parvathy, Jemimah, Sherlyn, Taguchi, Y. H., Gromiha, M. Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017312/
https://www.ncbi.nlm.nih.gov/pubmed/33815473
http://dx.doi.org/10.3389/fgene.2021.639160
_version_ 1783674039167877120
author Dharshini, S. Akila Parvathy
Jemimah, Sherlyn
Taguchi, Y. H.
Gromiha, M. Michael
author_facet Dharshini, S. Akila Parvathy
Jemimah, Sherlyn
Taguchi, Y. H.
Gromiha, M. Michael
author_sort Dharshini, S. Akila Parvathy
collection PubMed
description Alzheimer’s disease (AD) and Parkinson’s disease (PD) are well-known neuronal degenerative disorders that share common pathological events. Approved medications alleviate symptoms but do not address the root cause of the disease. Energy dysfunction in the neuronal population leads to various pathological events and ultimately results in neuronal death. Identifying common therapeutic targets for these disorders may help in the drug discovery process. The Brodmann area 9 (BA9) region is affected in both the disease conditions and plays an essential role in cognitive, motor, and memory-related functions. Analyzing transcriptome data of BA9 provides deep insights related to common pathological pathways involved in AD and PD. In this work, we map the preprocessed BA9 fastq files generated by RNA-seq for disease and control samples with reference hg38 genomic assembly and identify common variants and differentially expressed genes (DEG). These variants are predominantly located in the 3′ UTR (non-promoter) region, affecting the conserved transcription factor (TF) binding motifs involved in the methylation and acetylation process. We have constructed BA9-specific functional interaction networks, which show the relationship between TFs and DEGs. Based on expression signature analysis, we propose that MAPK1, VEGFR1/FLT1, and FGFR1 are promising drug targets to restore blood-brain barrier functionality by reducing neuroinflammation and may save neurons.
format Online
Article
Text
id pubmed-8017312
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-80173122021-04-03 Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study Dharshini, S. Akila Parvathy Jemimah, Sherlyn Taguchi, Y. H. Gromiha, M. Michael Front Genet Genetics Alzheimer’s disease (AD) and Parkinson’s disease (PD) are well-known neuronal degenerative disorders that share common pathological events. Approved medications alleviate symptoms but do not address the root cause of the disease. Energy dysfunction in the neuronal population leads to various pathological events and ultimately results in neuronal death. Identifying common therapeutic targets for these disorders may help in the drug discovery process. The Brodmann area 9 (BA9) region is affected in both the disease conditions and plays an essential role in cognitive, motor, and memory-related functions. Analyzing transcriptome data of BA9 provides deep insights related to common pathological pathways involved in AD and PD. In this work, we map the preprocessed BA9 fastq files generated by RNA-seq for disease and control samples with reference hg38 genomic assembly and identify common variants and differentially expressed genes (DEG). These variants are predominantly located in the 3′ UTR (non-promoter) region, affecting the conserved transcription factor (TF) binding motifs involved in the methylation and acetylation process. We have constructed BA9-specific functional interaction networks, which show the relationship between TFs and DEGs. Based on expression signature analysis, we propose that MAPK1, VEGFR1/FLT1, and FGFR1 are promising drug targets to restore blood-brain barrier functionality by reducing neuroinflammation and may save neurons. Frontiers Media S.A. 2021-03-19 /pmc/articles/PMC8017312/ /pubmed/33815473 http://dx.doi.org/10.3389/fgene.2021.639160 Text en Copyright © 2021 Dharshini, Jemimah, Taguchi and Gromiha. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Dharshini, S. Akila Parvathy
Jemimah, Sherlyn
Taguchi, Y. H.
Gromiha, M. Michael
Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study
title Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study
title_full Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study
title_fullStr Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study
title_full_unstemmed Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study
title_short Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study
title_sort exploring common therapeutic targets for neurodegenerative disorders using transcriptome study
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017312/
https://www.ncbi.nlm.nih.gov/pubmed/33815473
http://dx.doi.org/10.3389/fgene.2021.639160
work_keys_str_mv AT dharshinisakilaparvathy exploringcommontherapeutictargetsforneurodegenerativedisordersusingtranscriptomestudy
AT jemimahsherlyn exploringcommontherapeutictargetsforneurodegenerativedisordersusingtranscriptomestudy
AT taguchiyh exploringcommontherapeutictargetsforneurodegenerativedisordersusingtranscriptomestudy
AT gromihammichael exploringcommontherapeutictargetsforneurodegenerativedisordersusingtranscriptomestudy