4.5 Article

Host biomarkers for monitoring therapeutic response in extrapulmonary tuberculosis

Journal

CYTOKINE
Volume 142, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cyto.2021.155499

Keywords

Extra-pulmonary tuberculosis; Lymphadenitis; Pleuritis; Response to treatment; Inflammatory biomarkers

Funding

  1. Research Council of Norway through the Global Health and Vaccination Program [234457]
  2. European Union

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This study aimed to explore the utility of inflammatory biomarkers in predicting treatment response in extrapulmonary tuberculosis (EPTB). The change in levels of MIG, IP-10, MIF, CCL22 and CCL23 correlated with successful treatment response, with a biosignature defined by any significant decrease in these five biomarkers indicating treatment success in a high percentage of patients.
Purpose: The aim of this study was to explore the utility of inflammatory biomarkers in the peripheral blood to predict response to treatment in extrapulmonary tuberculosis (EPTB). Methods: A Luminex xMAP-based multiplex immunoassay was used to measure 40 inflammatory biomarkers in un-stimulated plasma of 91 EPTB patients (48 lymphadenitis, and 43 pleuritis) before and at 2 and 6 months of treatment. Results: Overall a significant change was observed in 28 inflammatory biomarkers with treatment in EPTB patients. However, MIG/CXCL9, IP-10/CXCL10, and CCL23 decreased in all patients? groups with successful treatment at both time points. At 2 months, 29/64 (45%) patients responded partially while 35/64 (55%) showed complete regress. Among good responders, a higher number of biomarkers (16/40) reduced significantly as compared to partial responders (1/40). Almost half (14/29) of partial responders required longer treatment than 6 months to achieve satisfactory response. The levels of MIG, IP-10, MIF, CCL22 and CCL23 reduced significantly among 80, 74, 60, 71, 51% good responders, as compared to 52, 52, 52, 59, 52% partial responders, respectively. A biosignature, defined by a significant decrease in any one of these five biomarkers, corresponded with satisfactory response to treatment in 97% patients at 2 month and 99% patients at 6 months of treatment. Conclusion: Change in inflammatory biomarkers correlates with treatment success. A five biomarker biosignature (MIG, IP-10, MIF, CCL22 and CCL23) could be used as an indicator of treatment success.

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