Evidence map›Paper›PMID 40095362›Full record

ArticleInfection2025

The blood biomarker combination IL-8/IL-33 and IL-18/IL-33 distinguish between active tuberculosis and latent infection.

Huimin Zhao, Zhenyan Chen, Douglas B Lowrie, Zhidong Hu, Shuihua Lu, Xiao-Yong Fan

Abstract read
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Article in Infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Huimin Zhao *Shanghai Public Health Clinical Center & Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China.
Zhenyan Chen *National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital & The Second Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, 518112, China.
Douglas B LowrieShanghai Public Health Clinical Center & Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China.
Zhidong HuShanghai Public Health Clinical Center & Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China.
Shuihua LuShanghai Public Health Clinical Center & Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China.
Xiao-Yong FanShanghai Public Health Clinical Center & Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China. xyfan008@fudan.edu.cn.ORCID http://orcid.org/0000-0001-6654-3559

Funding

Grants from National Key Research and Development Program of China 2021YFC2301503Grants from National Key Research and Development Program of China 2022YFC2302900National Natural and Science Foundation of China 82171739National Natural and Science Foundation of China 82171815Shanghai Hygiene and Health Outstanding Leader Project 2022XD060
6 · The paper itself

Abstract

purposesA leading cause of death from infectious diseases worldwide is tuberculosis (TB), and it often arises from latent infection. New diagnostic tests for latent tuberculosis infection (LTBI) are needed. Therefore, this study aimed to identify novel biomarker signatures in whole human blood to distinguish between active tuberculosis (ATB) and LTBI.

methodsTwo LEGENDplex

resultsIL-8, IL-18, IL-33, MCP-1, MIG (baseline levels); IL-8, IL-33, IL-1β, MCP-1, MIG, IL-10, I-TAC (ESAT-6/CFP10-stimulated levels); and IL-18, IL-33, IL-1β, IL-10, TNF-α (ESAT-6/CFP10-stimulated minus baseline levels) had the potential to distinguish ATB from LTBI. Our data shows that the sensitivity and specificity of targeted IL-8 and IL-33 distinguishing between ATB and LTBI were 83.3% and 93.75%, and the diagnostic accuracy was 89.28%, and the sensitivity and specificity of targeted IL-18 and IL-33 distinguishing between ATB and LTBI were 91.67% and 81.25%, with the diagnostic accuracy was 85.71%.

conclusionsOur data suggest that IL-8/IL-33 and IL-33/IL-18 together can be utilized as immunological markers to differentiate between LTBI and ATB. A novel TB diagnostic protocol was established, offering novel perspectives to create better tests.

Indexed as

BiomarkersInterleukin-18Interleukin-33Interleukin-8Latent TuberculosisTuberculosisAdultDiagnosis, DifferentialFemaleHumansMaleMiddle AgedSensitivity and SpecificityYoung AdultBiomarkersIL18 protein, humanIL33 protein, humanInterleukin-18Interleukin-33Interleukin-8BiomarkerDiagnosisIL-18IL-33IL-8Latent tuberculosis infectionTuberculosis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.