A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes.

Journal: BMC medical genomics
PMID: 39780155

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. Disulfidptosis-related genes (DRGs) may be involved in the pathogenesis of COPD. From the perspective of predictive, preventive, and personalized medicine (PPPM), clarifying the role of disulfidptosis in the development of COPD could provide a opportunity for primary prediction, targeted prevention, and personalized treatment of the disease.

Authors

  • Sijun Li
    Department of Geriatric Rehabilitation, Jiangbin Hospital, Nanning, China.
  • Qingdong Zhu
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
  • Aichun Huang
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
  • Yanqun Lan
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
  • Xiaoying Wei
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
  • Huawei He
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
  • Xiayan Meng
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
  • Weiwen Li
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
  • Yanrong Lin
    Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China. linyanrong2009@126.com.
  • Shixiong Yang
    The Fourth People's Hospital of Nanning, Nanning, Guangxi, PR China.

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