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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Microbial Immunology

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1513060

This article is part of the Research Topic Enhancing Leprosy Diagnosis: New Tools and Approaches for Global Health Impact View all articles

Immune Mediators as Plasma Biomarkers for Identifying Household Contacts and Classifying Clinical Forms and Leprosy Reactions

Provisionally accepted
  • 1 René Rachou Institute, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
  • 2 Fundação Hospitalar do Estado de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
  • 3 Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Mato Grosso, Brazil
  • 4 Federal University of Uberlandia, Uberlândia, Minas Gerais, Brazil
  • 5 Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

The final, formatted version of the article will be published soon.

    The present study intended to evaluate the performance of plasma immune mediators to classify Leprosy Patients [L(PB); L(MB)], Leprosy Reactions Patients [T1LR; T2LR], Household Contacts [HHC] and Non-Infected Controls [NI]. Quantitative measurements of immune mediators were carried out by high throughput microbead multiplex array. The results demonstrated that most plasma immune mediators were increased in all clinical groups as compared to NI. Higher frequencies but lower maximum magnitude of increase (fold change according to NI) was observed for T1LR-(63%; 6.1x) and T2LR-(63%; 9.7x) as compared to HHC-(48%; 68.5x), L(PB)-(56%; 8.5x) and L(MB)-(48%; 37.9x). Bi-dimensional scattering profile (magnitude order vs significance) identified a higher number of immune mediators in T2LR-(12/27) in comparison to HHC-(8/27), L(PB)-(7/27), L(MB)-(5/27) and T1LR-(5/27). CXCL8 was selected as a parameter with the highest accuracy and significance (AUC=0.98; p=0.0002) to classify NI vs HHC. CCL3 was the single analyte with moderate accuracy and significance (AUC=0.74; p=0.0422) to classify L(PB) vs L(MB). IL-9 was selected as an attribute with moderate accuracy and significance (AUC=0.77; p=0.0041) to classify T1LR vs T2LR. Decision tree algorithms confirmed the high accuracy (96%) of CXCL8 to classify NI vs HHC. The use of CCL3 followed by IFN- classified L(MB) vs L(PB) with high accuracy (93%). Moreover, the analysis of IL-9 followed by IL-6 and CXCL10 classified T1RL vs T2RL with high accuracy (96%). In general, combined stepwise algorithms showed enhanced classification accuracy as compared to single attribute analysis. Together, our findings supported the potential use of plasma immune mediators as complementary laboratorial biomarkers to identify Household Contacts and classify distinct clinical forms of Leprosy and Leprosy Reactions.

    Keywords: Leprosy, cytokine, Chemokines, Luminex, Decision tree algorithm

    Received: 17 Oct 2024; Accepted: 13 Feb 2025.

    Copyright: © 2025 Araujo, Carvalho, Pascoal-Xavier, Araújo, Martins, Teixeira-Carvalho, Gomes, Amaral, Pascoal, Coelho-dos-Reis and Martins Filho. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Marcio Sobreira Silva Araujo, René Rachou Institute, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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