Differential Frequencies of Intermediate Monocyte Subsets Among Individuals Infected With Drug-Sensitive or Drug-Resistant Mycobacterium tuberculosis

Abstract

The rampant increase in drug-resistant tuberculosis (TB) remains a major challenge not only for treatment management but also for diagnosis, as well as drug design and development. Drug-resistant mycobacteria affect the quality of life owing to the delayed diagnosis and require prolonged treatment with multiple and toxic drugs. The phenotypic modulations defining the immune status of an individual during tuberculosis are well established. The present study aims to explore the phenotypic changes of monocytes & dendritic cells (DC) as well as their subsets across the TB disease spectrum, from latency to drug-sensitive TB (DS-TB) and drug-resistant TB (DR-TB) using traditional immunophenotypic analysis and by uniform manifold approximation and projection (UMAP) analysis. Our results demonstrate changes in frequencies of monocytes (classical, CD14++CD16-, intermediate, CD14++CD16+ and non-classical, CD14+/-CD16++) and dendritic cells (DC) (HLA-DR+CD11c+ myeloid DCs, cross-presenting HLA-DR+CD14-CD141+ myeloid DCs and HLA-DR+CD14-CD16-CD11c-CD123+ plasmacytoid DCs) together with elevated Monocyte to Lymphocyte ratios (MLR)/Neutrophil to Lymphocyte ratios (NLR) and alteration of cytokine levels between DS-TB and DR-TB groups. UMAP analysis revealed significant differential expression of CD14+, CD16+, CD86+ and CD64+ on monocytes and CD123+ on DCs by the DR-TB group. Thus, our study reveals differential monocyte and DC subset frequencies among the various TB disease groups towards modulating the immune responses and will be helpful to understand the pathogenicity driven by Mycobacterium tuberculosis.

Cytokine upsurge among drug-resistant tuberculosis endorse the signatures of hyper inflammation and disease severity

“…However, the differences reported were varied between the studies and was complexed to find the true candidates. Smaller sample size might mask the true reflection of the disease status as that was apparent from our previous experience with cytokines that contrasted the current observation 44 . Dimensionality reduction of the current data enabled top 8 cytokines (IL-17, IL-1α, IL-2, IL-10, IL-5, IFN-γ, TNF-α and IL-6) with better separation of 4 study groups in different clusters with the accuracy of 94.4%.…”

“…However, the differences reported were varied between the studies and was complexed to find the true candidates. Smaller sample size might mask the true reflection of the disease status as that was apparent from our previous experience with cytokines that contrasted the current observation 44 . Dimensionality reduction of the current data enabled Though systemic responses don't reflect the accurate in-vivo status of granuloma 17 , the observations from the current study gives an overview of cytokine behaviour across TB disease spectrum.…”