High Procalcitonin, C-Reactive Protein, and α-1 Acid Glycoprotein Levels in Whole Blood Samples Could Help Rapid Discrimination of Active Tuberculosis from Latent Tuberculosis Infection and Healthy Individuals

Author:

Kang Yun-Jeong,Park Heechul,Park Sung-Bae,Lee Jiyoung,Hyun Hyanglan,Jung Minju,Lee Eun Ju,Je Min-A,Kim Jungho,Lee Yong Sung,Kim SunghyunORCID

Abstract

Tuberculosis (TB) management is important for prompt discrimination of latent TB infection (LTBI) from active TB and proper treatment. Whole blood Interferon-gamma (IFN-γ) release assay (IGRA) is used to diagnose LTBI based on the secretion of IFN-γ by T-cells in the whole blood by using a specific antigen of Mycobacterium tuberculosis. However, the ability of IGRA to distinguish active TB from LTBI is considerably limited. Distinguishing active TB from LTBI is necessary to identify indicators that can be used to effectively manage TB and develop diagnostic methods. In the present study, we used a Luminex multiplex bead array (a bead-based antibody–antigen sandwich method). The whole blood level of acute phase proteins (APPs), such as endoglin (ENG), procalcitonin (PCT), C-reactive protein (CRP), and α1-acid glycoprotein (AGP), in active TB, LTBI, and healthy individuals were analyzed and quantified. The APP test results for the serum and whole blood samples showed that the levels of PCT, CRP, and AGP were significantly increased (p < 0.0500; area under curve = 0.955) in active TB. The level of these markers in the whole blood of active TB, LTBI, and healthy individuals could provide data for effective diagnosis and treatment of TB.

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Role of Divalent Cations in Infections in Host–Pathogen Interaction;International Journal of Molecular Sciences;2024-09-10

2. Acute phase proteins and IP-10 in plasma for tuberculosis diagnosis;Frontiers in Tuberculosis;2023-11-29

3. From simple to complex: Protein‐based biomarker discovery in tuberculosis;European Journal of Immunology;2023-10-08

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