Data independent acquisition proteomics and machine learning reveals that proteins associated with immunity are potential molecular markers for early diagnosis of autism.

Journal: Clinica chimica acta; international journal of clinical chemistry
PMID:

Abstract

BACKGROUND: Early diagnosis of autism is critical to its treatment, but so far, there is no clear molecular marker for early diagnosis in children.

Authors

  • Erlin Hu
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China; Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University. Changsha, Hunan Province, China.
  • Xiaoni Kuang
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China.
  • Sun Zhaohui
    Hunan Want Want Hospital, Changsha, Hunan Province, China.
  • Sifeng Wang
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China.
  • Tuoyu Gan
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China.
  • Wenjuan Zhou
    Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.
  • Zhu Ming
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China.
  • Yuxia Cheng
    Hunan Want Want Hospital, Changsha, Hunan Province, China.
  • Chunhua Ye
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China.
  • Kang Yan
    College of Electronic and Information Engineering, Changchun University, Changchun 130022, China.
  • Xiaohui Gong
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China; Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University. Changsha, Hunan Province, China. Electronic address: 253665164@qq.com.
  • Tuanmei Wang
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China. Electronic address: 1396308863@qq.com.
  • Xiangwen Peng
    Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, Hunan Province, China; Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University. Changsha, Hunan Province, China. Electronic address: pxw1237@163.com.