Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Identification of necroptosis-related genes in Parkinson’s disease by integrated bioinformatics analysis and experimental validation

View through CrossRef
BackgroundParkinson’s disease (PD) is the second most common neurodegeneration disease worldwide. Necroptosis, which is a new form of programmed cell death with high relationship with inflammation, plays a vital role in the progression of PD. However, the key necroptosis related genes in PD are not fully elucidated.PurposeIdentification of key necroptosis-related genes in PD.MethodThe PD associated datasets and necroptosis related genes were downloaded from the GEO Database and GeneCards platform, respectively. The DEGs associated with necroptosis in PD were obtained by gap analysis, and followed by cluster analysis, enrichment analysis and WGCNA analysis. Moreover, the key necroptosis related genes were generated by PPI network analysis and their relationship by spearman correlation analysis. Immune infiltration analysis was used for explore the immune state of PD brain accompanied with the expression levels of these genes in various types of immune cells. Finally, the gene expression levels of these key necroptosis related genes were validated by an external dataset, blood samples from PD patients and toxin-induced PD cell model using real-time PCR analysis.ResultTwelve key necroptosis-related genes including ASGR2, CCNA1, FGF10, FGF19, HJURP, NTF3, OIP5, RRM2, SLC22A1, SLC28A3, WNT1 and WNT10B were identified by integrated bioinformatics analysis of PD related dataset GSE7621. According to the correlation analysis of these genes, RRM2 and WNT1 were positively and negatively correlated with SLC22A1 respectively, while WNT10B was positively correlated with both OIF5 and FGF19. As the results from immune infiltration analysis, M2 macrophage was the highest population of immune cell in analyzed PD brain samples. Moreover, we found that 3 genes (CCNA1, OIP5 and WNT10B) and 9 genes (ASGR2, FGF10, FGF19, HJURP, NTF3, RRM2, SLC22A1, SLC28A3 and WNT1) were down- and up- regulated in an external dataset GSE20141, respectively. All the mRNA expression levels of these 12 genes were obviously upregulated in 6-OHDA-induced SH-SY5Y cell PD model while CCNA1 and OIP5 were up- and down- regulated, respectively, in peripheral blood lymphocytes of PD patients.ConclusionNecroptosis and its associated inflammation play fundamental roles in the progression of PD and these identified 12 key genes might be served as new diagnostic markers and therapeutic targets for PD.
Title: Identification of necroptosis-related genes in Parkinson’s disease by integrated bioinformatics analysis and experimental validation
Description:
BackgroundParkinson’s disease (PD) is the second most common neurodegeneration disease worldwide.
Necroptosis, which is a new form of programmed cell death with high relationship with inflammation, plays a vital role in the progression of PD.
However, the key necroptosis related genes in PD are not fully elucidated.
PurposeIdentification of key necroptosis-related genes in PD.
MethodThe PD associated datasets and necroptosis related genes were downloaded from the GEO Database and GeneCards platform, respectively.
The DEGs associated with necroptosis in PD were obtained by gap analysis, and followed by cluster analysis, enrichment analysis and WGCNA analysis.
Moreover, the key necroptosis related genes were generated by PPI network analysis and their relationship by spearman correlation analysis.
Immune infiltration analysis was used for explore the immune state of PD brain accompanied with the expression levels of these genes in various types of immune cells.
Finally, the gene expression levels of these key necroptosis related genes were validated by an external dataset, blood samples from PD patients and toxin-induced PD cell model using real-time PCR analysis.
ResultTwelve key necroptosis-related genes including ASGR2, CCNA1, FGF10, FGF19, HJURP, NTF3, OIP5, RRM2, SLC22A1, SLC28A3, WNT1 and WNT10B were identified by integrated bioinformatics analysis of PD related dataset GSE7621.
According to the correlation analysis of these genes, RRM2 and WNT1 were positively and negatively correlated with SLC22A1 respectively, while WNT10B was positively correlated with both OIF5 and FGF19.
As the results from immune infiltration analysis, M2 macrophage was the highest population of immune cell in analyzed PD brain samples.
Moreover, we found that 3 genes (CCNA1, OIP5 and WNT10B) and 9 genes (ASGR2, FGF10, FGF19, HJURP, NTF3, RRM2, SLC22A1, SLC28A3 and WNT1) were down- and up- regulated in an external dataset GSE20141, respectively.
All the mRNA expression levels of these 12 genes were obviously upregulated in 6-OHDA-induced SH-SY5Y cell PD model while CCNA1 and OIP5 were up- and down- regulated, respectively, in peripheral blood lymphocytes of PD patients.
ConclusionNecroptosis and its associated inflammation play fundamental roles in the progression of PD and these identified 12 key genes might be served as new diagnostic markers and therapeutic targets for PD.

Related Results

Validation in Doctoral Education: Exploring PhD Students’ Perceptions of Belonging to Scaffold Doctoral Identity Work
Validation in Doctoral Education: Exploring PhD Students’ Perceptions of Belonging to Scaffold Doctoral Identity Work
Aim/Purpose: The aim of this article is to make a case of the role of validation in doctoral education. The purpose is to detail findings from three studies which explore PhD stude...
IFNγ-Induced Necroptosis Contributes to Hematopoietic Stem and Progenitor Cell Death and Bone Marrow Failure
IFNγ-Induced Necroptosis Contributes to Hematopoietic Stem and Progenitor Cell Death and Bone Marrow Failure
Abstract RIPK1 has important kinase-dependent and kinase-independent scaffolding functions that prevent or activate necroptosis or apoptosis. Complete RIPK1 deficien...
Arginine Di-methylation of RIPK3 Safeguards Necroptosis for Intestinal Homeostasis
Arginine Di-methylation of RIPK3 Safeguards Necroptosis for Intestinal Homeostasis
AbstractThe necroptosis mediated by RIPK3 is stringently regulated for intestinal homeostasis. Here we found that mice lackingPrmt5(Protein arginase methyltransferase 5) in intesti...
Inhibition of RIP1/RIP3 Necroptosis Pathway Promote Erectile Function in Cold‐Stressed Rat Model
Inhibition of RIP1/RIP3 Necroptosis Pathway Promote Erectile Function in Cold‐Stressed Rat Model
Cold stimulation is the most common stressor in cold regions. Continuous cold stimulation can cause a series of pathophysiological changes in the body, such as aggregated neutrophi...
Necroptosis: A Novel Pathway in Neuroinflammation
Necroptosis: A Novel Pathway in Neuroinflammation
Neuroinflammation is a complex inflammatory process in the nervous system that is expected to play a significant role in neurological diseases. Necroptosis is a kind of necrosis th...
Caspofungin suppresses brain cell necroptosis in the ischemic stroke rat via up-regulation of Pellino3
Caspofungin suppresses brain cell necroptosis in the ischemic stroke rat via up-regulation of Pellino3
Abstract Purpose Pellino3, an ubiquitin E3 ligase, prevents the formation of the death-induced signaling complex in response to TNF-α via targeting receptor-interacting pr...
TNF-mediated neuroinflammation is linked to neuronal necroptosis in Alzheimer’s disease hippocampus
TNF-mediated neuroinflammation is linked to neuronal necroptosis in Alzheimer’s disease hippocampus
AbstractThe pathogenetic mechanisms underlying neuronal death and dysfunction in Alzheimer’s disease (AD) remain unclear. However, chronic neuroinflammation has been implicated in ...

Back to Top