2023
DOI: 10.1016/j.jinf.2023.03.020
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Systemic immune dysregulation in severe tuberculosis patients revealed by a single-cell transcriptome atlas

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Cited by 23 publications
(24 citation statements)
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“…Thus, PD-1 regulates the immune response to TB and its inhibition can cause excessive TNF secretion, thereby contributing to TB pathology and accelerated Mtb growth ( 86 ). A single-cell RNA transcriptome study in which data from the healthy control and active TB patients with diverse severity were used that showed that patients with severe disease had elevated numbers of inflammatory immune cells and fewer lymphocytes; they exhibited immune exhaustion and the activation of TNF-induced apoptosis, as well as high cytotoxicity in T helper 1, CD8 + T, and NK cells ( 87 ). These findings shed light on the dysregulated expression of TNF and its roles in TB immunopathogenesis and clinical severity, which will aid the design of novel effective therapies against severe TB.…”
Section: Detrimental Effects Of Tnf During Mycobacterial Infectionmentioning
confidence: 99%
“…Thus, PD-1 regulates the immune response to TB and its inhibition can cause excessive TNF secretion, thereby contributing to TB pathology and accelerated Mtb growth ( 86 ). A single-cell RNA transcriptome study in which data from the healthy control and active TB patients with diverse severity were used that showed that patients with severe disease had elevated numbers of inflammatory immune cells and fewer lymphocytes; they exhibited immune exhaustion and the activation of TNF-induced apoptosis, as well as high cytotoxicity in T helper 1, CD8 + T, and NK cells ( 87 ). These findings shed light on the dysregulated expression of TNF and its roles in TB immunopathogenesis and clinical severity, which will aid the design of novel effective therapies against severe TB.…”
Section: Detrimental Effects Of Tnf During Mycobacterial Infectionmentioning
confidence: 99%
“…Next, the data went through principal component analysis to generate a matrix with 50 principle principal component analysis components as described before. 18 The Python package harmonypy was then used for batch correction. 19 The sample was set as a technical covariate for correction, and parameter θ was set as 2.5.…”
Section: Batch Effect Correction and Cell Clusteringmentioning
confidence: 99%
“…To assess the associations of the state of KD with the compositional changes of the cell cluster, we used the 1-way ANOVA on cell type proportions based on different patient groups. 18,21…”
Section: Anovamentioning
confidence: 99%
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“…During the infection process, innate immunity and adaptive immunity play distinct roles in the defense and elimination of M.tb [3] . While adaptive immunity, mediated by T lymphocytes, is the determined factor of the outcome and TB severity [4] . CD4 T cells and CD8 T cells are the two major components of T lymphocytes, there is su cient evidence supporting that CD4 T cells release cytokines, such as interferonγ (IFN-γ) in response to M.tb speci c antigens to enhance the phagocytosis of macrophage [5][6][7] to control TB, mice, and macaques with depleted CD4 T cells or humans with de cient CD4 T cells, particularly those with HIV, are dramatically susceptible to reinfection of TB or progress into active TB from LTBI [8] .…”
Section: Introductionmentioning
confidence: 99%