2022
DOI: 10.3389/fimmu.2022.1016038
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T-cell deficiency and hyperinflammatory monocyte responses associate with Mycobacterium avium complex lung disease

Abstract: Immunological mechanisms of susceptibility to nontuberculous mycobacterial (NTM) disease are poorly understood. To understand NTM pathogenesis, we evaluated innate and antigen-specific adaptive immune responses to Mycobacterium avium complex (MAC) in asymptomatic individuals with a previous history of MAC lung disease (MACDZ). We hypothesized that Mav-specific immune responses are associated with susceptibility to MAC lung disease. We measured MAC-, NTM-, or MAC/Mtb-specific T-cell responses by cytokine produc… Show more

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Cited by 10 publications
(8 citation statements)
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“…On the other hand, expression of genes important for antigen presentation, co-stimulation of T cells, and type II IFN signaling were upregulated in young animals. Collectively, these data indicate a dysregulation of anti-microbial function with age in lung resident macrophages [88].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, expression of genes important for antigen presentation, co-stimulation of T cells, and type II IFN signaling were upregulated in young animals. Collectively, these data indicate a dysregulation of anti-microbial function with age in lung resident macrophages [88].…”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, the frequency of MAC-specific CD4 T cells was higher in the left lung. This response was dominated by IFNγ and TNFα while IL-17 producing CD4 T cells were not consistently detected in either lung [88]. In contrast, MAC-specific CD8 T cell responses were larger in the right lung compared to the left lung and were more significant in the young animals compared to the aged.…”
Section: Discussionmentioning
confidence: 99%
“…In contrast to crude M. tb lysate, or culture filtrate proteins, MTB300 contains equimolar concentrations of peptides which are efficiently processed and presented by antigen-presenting cells. This MTB300 peptide megapool contains a mixture of 300 M. tb derived T cell epitopes from 90 M. tb proteins that specifically targets a large fraction of M. tb-specific CD4 + and probably CD8 + T cells, which can share epitopes with NTM species [31,32]. In our study, the overall response against PPD and MTB300 was higher in patients with progressive versus nonprogressive NTM-LD, possibly representing a higher antigen encounter by CD8 + T-cells in peripheral blood associated with more progressive forms of NTM-LD.…”
Section: Plos Onementioning
confidence: 99%
“…We previously reported that a non-cytokine activation immunoassay strategy was able to differentiate latent TB patients from TB-uninfected controls and potentially infer risk of TB reactivation by predictive modeling [12]. Recently, Lindestam Arlehamn CS et al, also reported that MAC-PD patients showed significantly increased MTB300-specific CD134 + PD-L1 + co-expression in T-cells compared to QFT-positive controls [32]. In line with these studies, patients with progressive NTM-LD had a higher frequency of CD8 T-cells co-expressing CD25 + CD134 + compared with patients with nonprogressive NTM-LD.…”
Section: Plos Onementioning
confidence: 99%
“…In addition to being used primarily for the characterization of human CD4+ T cell reactivity, this pool has also been used, based on the similarity of peptide binding repertoires, to probe reactivity in non‐human primates (Foreman et al., 2022; Kauffman et al., 2021; Mothe et al., 2015; Sakai et al., 2021; White et al., 2021; Wood et al., 2020) and mice (Patankar et al., 2020). Additional MPs were designed to explore the relationship with conservation in other Mycobacteria (Lindestam Arlehamn et al., 2022), to perform a quantitative analysis of TCR and epitope repertoire composition (Glanville et al., 2017; Scriba et al., 2017), to study specific gene deficiencies in humans (Kong et al., 2018; Martinez‐Barricarte et al., 2018), to study the role of CD8+ T cell responses (Pomaznoy et al., 2020), and to derive immune signatures associated with transcriptional profiles and different disease outcomes (Singhania, Dubelko, et al., 2021).…”
Section: Introductionmentioning
confidence: 99%