Bioinformatics analysis raises candidate genes in blood for early screening of Parkinson's disease.

Yi ZHANG; Li YAO; Wei LIU; Wei LI; Chan TIAN; Zhao Yang WANG; Di LIU

Return

Bioinformatics analysis raises candidate genes in blood for early screening of Parkinson's disease.

Author: Yi ZHANG ¹ ; Li YAO ² ; Wei LIU ³ ; Wei LI ⁴ ; Chan TIAN ⁵ ; Zhao Yang WANG ³ ; Di LIU ⁶
Author Information

1. Cell Engineering Research Center, State Key Laboratory of Cancer Biology, Fourth Military Medical University, Xi'an 710032, Shaanxi, China.
2. Department of Pathology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China.
3. The School of Acupuncture and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China.
4. Department of laboratory medicine, Beijing Jishuitan Hospital, Beijing 100035, China.
5. State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Hangzhou, China, 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
6. Network Information Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Publication Type:Letter
MeSH: Biomarkers; blood; Case-Control Studies; Computational Biology; Early Diagnosis; Gene Expression Profiling; Genetic Markers; Humans; Mass Screening; Parkinson Disease; blood; diagnosis; genetics
From: Biomedical and Environmental Sciences 2014;27(6):462-465
CountryChina
Language:English
Abstract: Parkinson's disease (PD) is a typical degenerative disease, which is characterized by the most obvious symptoms of movement dysfunction, including shaking, rigidity, slowness of movement and difficulty in walking and gait. This disease can not be clearly identified through laboratory tests at present, thus application of high-throughput technique in studying the expression profiles of PD helps to find the genetic markers for its early diagnosis. Studies on expression profiles of neurodegenerative diseases have revealed the novel genes and pathways involved in the progress of illness. In this study, the expression profiles of PD in blood were compared, showing that 181 differentially expressed genes (DEG) exhibit a similar expression trend both in patients and in normal controls. These genes are enriched significantly in some biological processes, including development, response to drugs, and DNA-dependent regulation of transcription, etc, highlighting that the genetic markers can be used in early diagnosis of PD.