Publications by authors named "K B Varun Kumar"

In naïve mice, a fraction of CD8 T cells displaying high affinity for self-MHC peptide complexes develop into virtual memory T (TVM) cells. Due to self-reactivity, TVM cells are exposed to persistent antigenic stimulation, a condition known to induce T cell exhaustion. However, TVM cells do not exhibit characteristics similar to exhausted CD8 T (TEX) cells.

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Unlabelled: To study the demographic profile, pattern of tinnitus, and its risk factors. This was a cross-sectional study among individuals with tinnitus seeking out-patient care. Data were collected by interviewing each patient.

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Introduction: This study emphasizes the efficacy of triphala as a therapeutic agent over inflammatory condition in hydrogen sulfide (H S) mediated inflammatory path in the presence of titanium (Ti) discs.

Materials And Method: In the presence of triphala extracts, lipopolysaccharidetreated macrophages showed reduction in production of inflammatory mediators and intercellular free radicals (ROS) and downregulation of mRNA in TNF.

Results: Thus in the presence of propargylglycine, reduction of TNFα by triphala in the H S inhibited group showed that the mechanism of action of triphala can be through the H S pathway.

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Unlabelled: Copy number variants (CNVs) have large effects on complex traits, but they are rare and remain challenging to study. As a result, our understanding of biological functions linking gene dosage to complex traits remains limited, and whether these functions sensitive to gene dosage are similar to those underlying the effects of rare single nucleotide variants (SNVs) and common variants remains unknown.

Methods: We developed FunBurd, a functional burden analysis, to test the association of CNVs aggregated within functional gene sets.

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Anticipation of future experiences is a crucial cognitive function impacted in various psychiatric conditions. Despite significant research advancements, the mechanisms underlying altered anticipation remain poorly understood, and effective targeted treatments are largely lacking. This review proposes an integrated computational psychiatry approach to address these challenges.

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