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Identification of candidate host serum and saliva biomarkers for a better diagnosis of active and latent tuberculosis infection.


ABSTRACT: 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-1? + 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 TNF? (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 TNF? in serum and [Fractalkine + IP-10 + IL-1? + VEGF], IP-10 and [Fractalkine+IL-12p40] in saliva.

SUBMITTER: Estevez O 

PROVIDER: S-EPMC7371182 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Identification of candidate host serum and saliva biomarkers for a better diagnosis of active and latent tuberculosis infection.

Estévez Olivia O   Anibarro Luis L   Garet Elina E   Pallares Ángeles Á   Pena Alberto A   Villaverde Carlos C   Del Campo Víctor V   González-Fernández África Á  

PloS one 20200720 7


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 an  ...[more]

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