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| 1 | Peripheral Lymphocyte Subsets as a Marker of Parkinson's Disease in a Chinese Population显示文摘In this study, we conducted a clinical analysis of lymphocyte subtypes in 268 patients with Parkinson's disease(PD) to assess their clinical impact as a potential marker of advanced PD in Chinese patients. The participants comprised 268 sporadic PD patients and 268 healthy controls. The numbers of natural killer(NK) cells and CD3+, CD3+CD4+, CD3+CD8+, and CD19+ lymphocytes from peripheral blood were determined by immunostaining and flow cytometric analysis and the percentages of these CD+ T cells were calculated. The ratio of regulatory T(Treg)/helper T 17(Th17) lymphocytes from 64 PD patients and 46 controls was determined by flow cytometric analysis.The results showed that the percentage of NK cells was higher in advanced PD patients than in controls(22.92% ±10.08% versus 19.76% ± 10.09%, P = 0.006), while CD3+ T cells are decreased(62.93% ± 9.27% versus65.75% ± 9.13%, P = 0.005). The percentage of CD19+B cells in male patients was lower(P = 0.021) than in female patients, whereas NK cells were increased(P \ 0.0001). The scores on the Unified Parkinson's Disease Rating Scale(UPDRS) and the Non-Motor Symptoms Scale in late-onset PD patients were significantly higher than those in earlyonset patients(P = 0.024 and P = 0.007, respectively). The percentage of CD19+ B cells in patients with UPDRS scores[24 was lower than in those with scores \24(10.17% ±4.19% versus 12.22% ± 5.39%, P = 0.009). In addition, the Treg/Th17 ratio in female patients was higher than that in female controls(13.88 ± 6.32 versus 9.94 ± 4.06, P =0.042). These results suggest that the percentages of NK cells,CD3+ T cells, and CD19+ B cells along with the Treg/Th17 ratio in peripheral blood may be used to predict the risk of PD in Chinese individuals and provide fresh avenues for novel diagnostic biomarkers and therapeutic designs. | Luan Cen Chaohao Yang Shuxuan Huang Miaomiao Zhou Xiaolu Tang Kaiping Li Wenyuan Guo Zhuohua Wu Mingshu Mo Yousheng Xiao Xiang Chen Xinling Yang Qinhui Huang Chaojun Chen Shaogang Qu Pingyi Xu | 2017 | Neuroscience Bulletin2017，33，5： | 5 |
| 2 | Dopamine Agonists Exert Nurrl-inducing Effect in Peripheral Blood Mononuclear Cells of Patients with Parkinson's Disease显示文摘 | Li-Min Zhang Cong-Cong Sun Ming-Shu Mo Luan Cen Lei Wei Fei-Fei Luo Yi Li Guo-Fei Li Si-Yun Zhang Li Yi Wei Huang Zhuo-Lin Liu Wei-Dong Leg Ping-Yi Xu | 2015 | Chinese Medical Journal2015，，13： | 3 |
| 3 | The biomarkers of immune dysregulation and inflammation response in Parkinson disease显示文摘Parkinson’s disease(PD)is referring to the multi-systemicα-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 theα-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. | Li Chen Mingshu Mo Guangning Li Luan Cen Lei Wei Yousheng Xiao Xiang Chen Shaomin Li Xinling Yang Shaogang Qu Pingyi Xu | 2016 | Translational Neurodegeneration2016，5，1： | 3 |
| 4 | Association Analysis of Proteasome Subunits and Transporter Associated with Antigen Processing on Chinese Patients with Parkinson's Disease显示文摘 | Ming-Shu Mo Wei Huang Cong-Cong Sun Li-Min Zhang Luan Cen You-Sheng Xiao Guo-Fei Li Xin-Ling Yang Shao-Gang Qu Ping-Yi Xu | 2016 | Chinese Medical Journal2016，，9： | 3 |
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