Weighted gene co-expression network analysis reveals specific modules and biomarkers in Parkinson's disease.

Journal: Neuroscience letters
PMID: 32276105

Abstract

BACKGROUND: Parkinson's disease (PD) ranks as the second most frequently occurring neurodegenerative disease. The precise pathogenic mechanism of this disease remains unknown. The aim of the present study was to identify the biomarkers in PD and classify the primary differentially expressed genes (DEGs).

Authors

  • Xiaojing Jin
    Department of Emergency, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Xiao Wang
    Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
  • Chongbo Du
    Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Zhangyan Geng
    Geriatric Department, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Yuan Geng
    Key Laboratory of Brain Aging and Cognitive Neuroscience of Hebei Province, Hebei Medical University, Shijiazhuang, Hebei, China.
  • Longfei Kang
    Chiba University, 1-8-1, Inohana, Chuo Ward, Chiba-shi, Chiba, 260-0856, Japan.
  • Xiaoman Zhang
    Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Mingwei Wang
    College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China.
  • Shujuan Tian
    Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China. Electronic address: jtian72@126.com.

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