Exercise Reverses Dysregulation of T-Cell-Related Function in Blood Leukocytes of Patients With Parkinson's Disease

Hu, Yong; Zhang, Kunshan; Zhang, Tianyu; Wang, Junbang; Chen, Fei; Qin, Wenting; Tong, Weifang; Guan, Qiang; He, Yijing; Gu, Chunya; Chen, Xiaoyu; Kang, Un Jung; Sun, Yi; Li, Siguang; Jin, Lingjing

doi:10.3389/fneur.2019.01389

Cited by 6 publications

(4 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IL-18R, IL-2RA) and cell adhesion www.nature.com/scientificreports/ molecule (e.g. ICAM1) gene expression levels in studies reported by Kurvits et al, Hu et al and Tan et al 19,81,82 . Furthermore, altered expression levels of Treg related genes were highlighted by Mutez et al and Pinho et al 85,93 .…”

Section: Discussionmentioning

confidence: 98%

Inflammation and regulatory T cell genes are differentially expressed in peripheral blood mononuclear cells of Parkinson’s disease patients

Karaaslan

Kahraman

Şanlı

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Our aim was to identify the differentially expressed genes (DEGs) in peripheral blood mononuclear cells (PBMC) of Parkinson’s disease (PD) patients and healthy controls by microarray technology and analysis of related molecular pathways by functional annotation. Thirty PD patients and 30 controls were enrolled. Agilent Human 8X60 K Oligo Microarray was used for gene level expression identification. Gene ontology and pathway enrichment analyses were used for functional annotation of DEGs. Protein–protein interaction analyses were performed with STRING. Expression levels of randomly selected DEGs were quantified by real time quantitative polymerase chain reaction (RT-PCR) for validation. Flow cytometry was done to determine frequency of regulatory T cells (Tregs) in PBMC. A total of 361 DEGs (143 upregulated and 218 downregulated) were identified after GeneSpring analysis. DEGs were involved in 28 biological processes, 12 cellular components and 26 molecular functions. Pathway analyses demonstrated that upregulated genes mainly enriched in p53 (CASP3, TSC2, ATR, MDM4, CCNG1) and PI3K/Akt (IL2RA, IL4R, TSC2, VEGFA, PKN2, PIK3CA, ITGA4, BCL2L11) signaling pathways. TP53 and PIK3CA were identified as most significant hub proteins. Expression profiles obtained by RT-PCR were consistent with microarray findings. PD patients showed increased proportions of CD49d+ Tregs, which correlated with disability scores. Survival pathway genes were upregulated putatively to compensate neuronal degeneration. Bioinformatics analysis showed an association between survival and inflammation genes. Increased CD49d+ Treg ratios might signify the effort of the immune system to suppress ongoing neuroinflammation.

show abstract

Section: Discussionmentioning

confidence: 98%

Inflammation and regulatory T cell genes are differentially expressed in peripheral blood mononuclear cells of Parkinson’s disease patients

Karaaslan

Kahraman

Şanlı

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The candidate biomarkers resulting from associating DaTscan are involved in a larger number of significant pathways compared to the ones obtained using MRI. Surprisingly, performing enrichment on the PPI genes retrieved and comparing the results with those obtained from the transcriptomic data analysis, we were able to retrieve common pathways potentially involved in the disease onset and progression such as Innate Immune System, Neutrophil degranulation and TCR signaling signaling pathways [85][86][87].…”

Section: Resultsmentioning

confidence: 99%

Multi view based imaging genetics analysis on Parkinson disease

Cerri

Tognon

Avesani

et al. 2021

Preprint

View full text Add to dashboard Cite

Longitudinal studies integrating imaging and genetic data have recently become widespread among bioinformatics researchers. Combining such heterogeneous data allows a better understanding of complex diseases origins and causes. Through a multi-view based workflow proposal, we show the common steps and tools used in imaging genetics analysis, interpolating genotyping, neuroimaging and transcriptomic data. We describe the advantages of existing methods to analyze heterogeneous datasets, using Parkinson's Disease (PD) as a case study. Parkinson's disease is associated with both genetic and neuroimaging factors, however such imaging genetics associations are at an early investigation stage. Therefore it is desirable to have a free and open source workflow that integrates different analysis flows in order to recover potential genetic biomarkers in PD, as in other complex diseases.

show abstract

“…Using module eigengenes, WGCNA can reconstruct gene co-expression modules and summarize modules. WGCNA can avoid the limitations of research on datasets based only on traditional differential gene-screening methods [ 21 ], which may not allow core analysis of the regulatory process and make it difficult to explore the overall biological system. Based on this method, this study identified differentially expressed genes, used the found gene-interaction information to identify gene modules related to Tai Chi, and obtained key genes through the construction of a PPI network.…”

Section: Discussionmentioning

confidence: 99%

“…The specific molecular mechanisms of the peripheral immune response to Tai Chi training are also not fully understood. To address the above, we obtained the gene expression profile (GSE124676) for the peripheral leukocytes of PD patients before and after participating in Tai Chi exercise from the study of Hu et al [ 21 ]. The study’s researchers used Tai Chi and multimodal exercise training to explore the responses in terms of shared differentially expressed genes (DEGs) and functional enrichment in the leukocytes of PD patients.…”

Section: Introductionmentioning

confidence: 99%

Changes Observed in Potential Key Candidate Genes of Peripheral Immunity Induced by Tai Chi among Patients with Parkinson’s Disease

Yang

Dong²,

Yang³

et al. 2022

Genes

View full text Add to dashboard Cite

Parkinson’s disease (PD) is a common progressive neurodegenerative disease characterized by motor dysfunction. Although the inhibition of inflammation by Tai Chi has been demonstrated to involve a peripheral cytokine response and may play an important role in improving the motor function of PD patients, the related specific molecular mechanisms of the peripheral immune response to Tai Chi are not fully understood. The microarray dataset ‘GSE124676’ for the peripheral immune response to Tai Chi of PD patients was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened and analyzed using weighted gene co-expression network analysis (WGCNA). A total of 136 DEGs were found in the PD patients after Tai Chi, suggesting an effect of Tai Chi on the peripheral immunity of PD patients. The DEGs are mainly involved in neutrophil activation, T-cell activation, and NOD-like receptor and IL-17 signaling pathways. Furthermore, six key candidate genes (FOS, FOSB, JUNB, ZFP36, CAMP and LCN2) that are involved in peripheral inflammation and the inhibition of inflammation induced by Tai Chi were observed. The results in the present study could be conducive to comprehensively understanding the molecular mechanism involved in the effect of Tai Chi on peripheral inflammation in PD patients and providing novel targets for future advanced research.

show abstract

Exercise Reverses Dysregulation of T-Cell-Related Function in Blood Leukocytes of Patients With Parkinson's Disease

Cited by 6 publications

References 50 publications

Inflammation and regulatory T cell genes are differentially expressed in peripheral blood mononuclear cells of Parkinson’s disease patients

Inflammation and regulatory T cell genes are differentially expressed in peripheral blood mononuclear cells of Parkinson’s disease patients

Multi view based imaging genetics analysis on Parkinson disease

Changes Observed in Potential Key Candidate Genes of Peripheral Immunity Induced by Tai Chi among Patients with Parkinson’s Disease

Contact Info

Product

Resources

About