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Singhania, A.

Publications and source records attributed to Singhania, A..

2 recordsLinked to original sources

Differential expression of an alternative splice variant of IL-12Rβ1 impacts early dissemination in the mouse and associates with disease outcome in both mouse and humans exposed to tuberculosis

Experimental mouse models of TB suggest that early events in the lung impact immunity. Early events in the human lung in response to TB are difficult to probe and their impact on disease outcome is unknown. We have shown in mouse that a secreted alternatively-spliced variant of IL-12R{beta}1, lacking the transmembrane domain and termed {Delta}TM-IL-12R{beta}1, promotes dendritic cell migration to the draining lymph node, augments T cell activation and limits dissemination of M. tuberculosis (Mtb). We show here that CBA/J and C3H/HeJ mice (both highly susceptible to Mtb) express higher levels of {Delta}TM-IL-12R{beta}1 than resistant C57BL6 mice and limit early dissemination of Mtb from the lungs. Both CD11c+ cells and T cells express {Delta}TM-IL-12R{beta}1 in humans, and mice unable to make {Delta}TM-IL-12R{beta}1 in either CD4 or CD11c expressing cells permit early dissemination from the lung. Analysis of publically available blood transcriptomes indicates that pulmonary TB is associated with high {Delta}TM-IL-12R{beta}1 expression and that of all IL-12 related signals, the {Delta}TM-IL-12R{beta}1 signal best predicts active disease. {Delta}TM-IL-12R{beta}1 expression reflects the heterogeneity of latent TB infection and has the capacity to discriminate between latent and active disease. In a new Chinese TB patient cohort, {Delta}TM-IL-12R{beta}1 effectively differentiates TB from latent TB, healthy controls and pneumonia patients. Finally, {Delta}TM-IL-12R{beta}1 expression drops in drug-treated individuals in the UK and China where infection pressure is low. We propose that {Delta}TM-IL-12R{beta}1 regulates early dissemination from the lung and that it has diagnostic potential and provides mechanistic insights into human TB.

immunology

A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection

Whole blood transcriptional signatures distinguishing active tuberculosis patients from asymptomatic latently infected individuals exist. Consensus has not been achieved regarding the optimal reduced gene sets as diagnostic biomarkers that also achieve discrimination from other diseases. Here we show a blood transcriptional signature of active tuberculosis using RNA-Seq, confirming microarray results, that discriminates active tuberculosis from latently infected and healthy individuals, validating this signature in an independent cohort. Using an advanced modular approach, we utilise information from the entire transcriptome, which includes over-abundance of type I interferon-inducible genes and under-abundance of IFNG and TBX21, to develop a signature that discriminates active tuberculosis patients from latently infected individuals, or those with acute viral and bacterial infections. We suggest methods targeting gene selection across multiple discriminant modules can improve development of diagnostic biomarkers with improved performance. Finally, utilising the modular approach we demonstrate dynamic heterogeneity in a longitudinal study of recent tuberculosis contacts.

immunology