Huimin Zhao, Zhenyan Chen, Douglas B Lowrie, Zhidong Hu, Shuihua Lu, Xiao-Yong Fan
{"title":"血液生物标志物组合IL-8/IL-33和IL-18/IL-33可区分活动性结核和潜伏性感染。","authors":"Huimin Zhao, Zhenyan Chen, Douglas B Lowrie, Zhidong Hu, Shuihua Lu, Xiao-Yong Fan","doi":"10.1007/s15010-024-02454-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Purposes: </strong>A 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.</p><p><strong>Methods: </strong>Two LEGENDplex<sup>™</sup> kits were used to evaluate the secretion levels of 20 cytokines triggered by ESAT-6/CFP10 antigen in whole blood of ATB, LTBI, and healthy controls, and to search for cytokine combinations utilized to distinguish between ATB and LTBI.</p><p><strong>Results: </strong>IL-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%.</p><p><strong>Conclusions: </strong>Our 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.</p>","PeriodicalId":13600,"journal":{"name":"Infection","volume":" ","pages":"1167-1178"},"PeriodicalIF":5.4000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The blood biomarker combination IL-8/IL-33 and IL-18/IL-33 distinguish between active tuberculosis and latent infection.\",\"authors\":\"Huimin Zhao, Zhenyan Chen, Douglas B Lowrie, Zhidong Hu, Shuihua Lu, Xiao-Yong Fan\",\"doi\":\"10.1007/s15010-024-02454-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purposes: </strong>A 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.</p><p><strong>Methods: </strong>Two LEGENDplex<sup>™</sup> kits were used to evaluate the secretion levels of 20 cytokines triggered by ESAT-6/CFP10 antigen in whole blood of ATB, LTBI, and healthy controls, and to search for cytokine combinations utilized to distinguish between ATB and LTBI.</p><p><strong>Results: </strong>IL-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%.</p><p><strong>Conclusions: </strong>Our 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. 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The blood biomarker combination IL-8/IL-33 and IL-18/IL-33 distinguish between active tuberculosis and latent infection.
Purposes: A 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.
Methods: Two LEGENDplex™ kits were used to evaluate the secretion levels of 20 cytokines triggered by ESAT-6/CFP10 antigen in whole blood of ATB, LTBI, and healthy controls, and to search for cytokine combinations utilized to distinguish between ATB and LTBI.
Results: IL-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%.
Conclusions: Our 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.
期刊介绍：
Infection is a journal dedicated to serving as a global forum for the presentation and discussion of clinically relevant information on infectious diseases. Its primary goal is to engage readers and contributors from various regions around the world in the exchange of knowledge about the etiology, pathogenesis, diagnosis, and treatment of infectious diseases, both in outpatient and inpatient settings.
The journal covers a wide range of topics, including:
Etiology: The study of the causes of infectious diseases.
Pathogenesis: The process by which an infectious agent causes disease.
Diagnosis: The methods and techniques used to identify infectious diseases.
Treatment: The medical interventions and strategies employed to treat infectious diseases.
Public Health: Issues of local, regional, or international significance related to infectious diseases, including prevention, control, and management strategies.
Hospital Epidemiology: The study of the spread of infectious diseases within healthcare settings and the measures to prevent nosocomial infections.
In addition to these, Infection also includes a specialized "Images" section, which focuses on high-quality visual content, such as images, photographs, and microscopic slides, accompanied by brief abstracts. This section is designed to highlight the clinical and diagnostic value of visual aids in the field of infectious diseases, as many conditions present with characteristic clinical signs that can be diagnosed through inspection, and imaging and microscopy are crucial for accurate diagnosis. The journal's comprehensive approach ensures that it remains a valuable resource for healthcare professionals and researchers in the field of infectious diseases.
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