Identification of and as novel diagnostic biomarkers for latent tuberculosis infection using machine learning strategies and experimental verification.

Journal: Annals of medicine
Published Date: Jul 25, 2024

Abstract

BACKGROUND: Current diagnostic methods cannot effectively distinguish between latent tuberculosis infection (LTBI) and active tuberculosis (ATB). This study aims to explore novel non-invasive diagnostic biomarkers for LTBI and to elucidate possible molecular mechanisms of LTBI pathogenesis.

Authors

  • Longxiang Xie
    Department of General Surgery, Huaihe Hospital of Henan University, Henan University, Kaifeng, Henan, China.
  • Gaoya Zhu
    School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
  • Sibo Long
    Department of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China.
  • Mengna Wang
    School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
  • Xinxin Cheng
    School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
  • Yuzhe Dong
    School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
  • Chaoyang Wang
  • Guirong Wang
    Department of Surgery, SUNY Upstate Medical University, Syracuse, NY, 13210.

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