RT Journal Article
T1 Multi-parameter flow cytometry immunophenotyping distinguishes different stages of tuberculosis infection
A1 Estévez Martínez, Olivia
A1 Anibarro, Luis
A1 Garet Fernández, María Elina
A1 Martinez Perez, Amparo
A1 Pena, Alberto
A1 Barcia, Laura
A1 Peleteiro Olmedo, Mercedes
A1 González Fernández, Maria Africa
K1 2412.06 Inmunización
K1 2414.02 Fisiología Bacteriana
AB Objectives: To identify new potential host biomarkers in blood to discriminate between active TB patients, uninfected (NoTBI) and latently infected contacts (LTBI).Methods: A blood cell count was performed to study parent leukocyte populations. Peripheral blood mononuclear cells (PBMCs) were isolated and a multi-parameter flow cytometry assay was conducted to study the distribution of basal and Mycobacterium tuberculosis (Mtb)-stimulated lymphocytes. Differences between groups and the area under the ROC curve (AUC) were investigated to assess the diagnostic accuracy.Results: Active TB patients presented higher Monocyte-to-lymphocyte and Neutrophil-to-lymphocyte ratios than LTBI and NoTBI contacts (p<0.0001; AUC>0.8). Lymphocyte subsets with differences (p >0.05; AUC >0.7) between active TB and both contact groups include the basal distribution of Th1/Th2 ratio, Th1-Th17, CD4+ Central Memory (TCM) or MAIT cells. Expression of CD154 is increased in Mtb-activated CD4+ TCM and Effector Memory T cells in active TB and LTBI compared to NoTBI. In CD4+T cells, expression of CD154 showed a higher accuracy than IFNγ to discriminate Mtb-specific activation.Conclusions: We identified different cell subsets with potential use in tuberculosis diagnosis. Among them, distribution of CD4 TCM cells and their expression of CD154 after Mtb-activation are the most promising candidates.
PB Journal of Infection
SN 01634453
YR 2020
FD 2020-07
LK http://hdl.handle.net/11093/6332
UL http://hdl.handle.net/11093/6332
LA eng
NO Journal of Infection, 81(1): 57-71 (2020)
NO Xunta de Galicia | Ref. ED431C 2016/041
DS Investigo
RD 23-ene-2025