Identification of MORN3 and LLGL2 as novel diagnostic biomarkers for latent tuberculosis infection using machine learning strategies and experimental verification

Identification of MORN3 and LLGL2 as novel diagnostic biomarkers for latent tuberculosis infection using machine learning strategies and experimental verification

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.Methods Th...

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Bibliographic Details
Main Authors: Longxiang Xie, Gaoya Zhu, Sibo Long, Mengna Wang, Xinxin Cheng, Yuzhe Dong, Chaoyang Wang, Guirong Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Annals of Medicine
Subjects:
Latent tuberculosis infection
diagnostic biomarkers
machine learning
clinical verification
immune infiltration
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2024.2380797

Internet

https://www.tandfonline.com/doi/10.1080/07853890.2024.2380797

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