Identification of candidate host serum and saliva biomarkers for a better diagnosis of active and latent tuberculosis infection
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Identificadores
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Fecha de publicación
2020Título de revista
PLoS One
Tipo de contenido
Journal Article
DeCS
tuberculosis | anciano | quimiocina CX3CL1 | saliva | mediana edad | humanos | factor A de crecimiento endotelial vascular | adulto | interleucinas | tuberculosis latente | quimiocina CXCL10MeSH
Vascular Endothelial Growth Factor A | Adult | Middle Aged | Humans | Chemokine CXCL10 | Chemokine CX3CL1 | Tuberculosis | Saliva | Interleukins | Latent Tuberculosis | AgedResumen
In our work, we aim to identify new candidate host biomarkers to discriminate between active TB patients (n = 28), latent infection (LTBI; n = 27) and uninfected (NoTBI; n = 42) individuals. For that, active TB patients and their contacts were recruited that donated serum and saliva samples. A multiplex assay was performed to study the concentration of different cytokines, chemokines and growth factors. Proteins with significant differences between groups were selected and logistic regression and the area under the ROC curve (AUC) was used to assess the diagnostic accuracy. The best marker combinations that discriminate active TB from NoTBI contacts were [IP-10 + IL-7] in serum and [Fractalkine + IP-10 + IL-1alpha + VEGF] in saliva. Best discrimination between active TB and LTBI was achieved using [IP-10 + BCA-1] in serum (AUC = 0.83) and IP-10 in saliva (p = 0.0007; AUC = 0.78). The levels of TNFalpha (p = 0.003; AUC = 0.73) in serum and the combination of [Fractalkine+IL-12p40] (AUC = 0.83) in saliva, were able to differentiate between NoTBI and LTBI contacts. In conclusion, different individual and combined protein markers could help to discriminate between active TB and both uninfected and latently-infected contacts. The most promising ones include [IP-10 + IL-7], [IP-10 + BCA-1] and TNFalpha in serum and [Fractalkine + IP-10 + IL-1alpha + VEGF], IP-10 and [Fractalkine+IL-12p40] in saliva.
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