Title |
The biomarkers of immune dysregulation and inflammation response in Parkinson disease
|
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Published in |
Translational Neurodegeneration, August 2016
|
DOI | 10.1186/s40035-016-0063-3 |
Pubmed ID | |
Authors |
Li Chen, Mingshu Mo, Guangning Li, Luan Cen, Lei Wei, Yousheng Xiao, Xiang Chen, Shaomin Li, Xinling Yang, Shaogang Qu, Pingyi Xu |
Abstract |
Parkinson's disease (PD) is referring to the multi-systemic α-synucleinopathy with Lewy bodies deposited in midbrain. In ageing, the environmental and genetic factors work together and overactive major histocompatibility complex pathway to regulate immune reactions in central nerve system which resulting in neural degeneration, especially in dopaminergic neurons. As a series of biomarkers, the human leukocyte antigen genes with its related proteomics play cortical roles on the antigen presentation of major histocompatibility complex molecules to stimulate the differentiation of T lymphocytes and i-proteasome activities under their immune response to the PD-related environmental alteration and genetic variation. Furthermore, dopaminergic drugs change the biological characteristic of T lymphatic cells, affect the α-synuclein presentation pathway, and inhibit T lymphatic cells to release cytotoxicity in PD development. Taking together, the serum inflammatory factors and blood T cells are involved in the immune dysregulation of PD and inspected as the potential clinic biomarkers for PD prediction. |
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Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
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Chile | 1 | 1% |
Unknown | 99 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 19 | 19% |
Student > Master | 18 | 18% |
Student > Bachelor | 12 | 12% |
Researcher | 9 | 9% |
Student > Doctoral Student | 6 | 6% |
Other | 14 | 14% |
Unknown | 22 | 22% |
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Agricultural and Biological Sciences | 16 | 16% |
Biochemistry, Genetics and Molecular Biology | 11 | 11% |
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Engineering | 6 | 6% |
Other | 14 | 14% |
Unknown | 23 | 23% |