03530nas a2200277 4500000000100000008004100001260001200042653001400054653002300068653001200091653002500103100001600128700001100144700001800155700002100173700001500194700001200209700001300221700001200234245017000246856007700416300000800493490000600501520273100507022001403238 2020 d c12/202010aCytokines10aHousehold contacts10aleprosy10aMycobacterium leprae1 aMarçal PHF1 aGama R1 ade Oliveira L1 aMartins-Filho OA1 aPinheiro R1 aSarno E1 aMoraes M1 aFraga L00aFunctional biomarker signatures of circulating T-cells and its association with distinct clinical status of leprosy patients and their respective household contacts. uhttps://idpjournal.biomedcentral.com/articles/10.1186/s40249-020-00763-7 a1670 v93 a

BACKGROUND: Leprosy is a chronic infectious disease classified into two subgroups for therapeutic purposes: paucibacillary (PB) and multibacillary (MB), closely related to the host immune responses. In this context it is noteworthy looking for immunological biomarkers applicable as complementary diagnostic tools as well as a laboratorial strategy to follow-up leprosy household contacts.

METHODS: The cross-sectional study enrolled 49 participants, including 19 patients and 30 healthy controls. Peripheral blood mononuclear cells (PBMC) were isolated and incubated in the presence of Mycobacterium leprae bacilli. The cells were prepared for surface (CD4 and CD8) and intracytoplasmic cytokine staining (IFN-γ, IL-4 and IL-10). Multiple comparisons amongst groups were carried out by ANOVA, Kruskal-Wallis, Student T or Mann-Whitney test. Comparative analysis of categorical variables was performed by Chi-square. Functional biomarker signature analysis was conducted using the global median values for each biomarker index as the cut-off edge to identify the proportion of subjects with high biomarker levels.

RESULTS: The cytokine signature analysis demonstrated that leprosy patients presented a polyfunctional profile of T-cells subsets, with increased frequency of IFN-γ T-cell subsets along with IL-10 and IL-4 from CD4 T-cells, as compared to health Controls (Venn diagram report). Moreover, statistical analysis was carried out using parametric or non-parametric variance analysis followed by pairwise multiple comparisons, according to the data normality distribution. L(PB) displayed a polyfunctional profile characterized by enhanced percentage of IFN-γ, IL-10 and IL-4 produced by most T-cell subsets, as compared to L(MB) that presented a more restricted cytokine functional profile mediated by IL-10 and IL-4 T-cells with minor contribution of IFN-γ produced by CD4 T-cells. Noteworthy was that HHC(MB) exhibited enhanced frequency of IFN-γ T-cells, contrasting with HHC(PB) that presented a cytokine profile limited to IL-10 and IL-4.

CONCLUSIONS: Our data demonstrated that L(PB) displayed enhanced percentage of IFN-γ, IL-10 and IL-4 as compared to L(MB) that presented functional profile mediated by IL-10 and IL-4 T-cells and HHC(MB) exhibited enhanced frequency of IFN-γ T-cells, contrasting with HHC(PB). Together, our findings provide additional immunological features associated with leprosy and household contacts. These data provide evidence that biomarkers of immune response can be useful complementary diagnostic/prognostic tools as well as insights that household contacts should be monitored to access putative subclinical infection.

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