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1.
J Exp Med ; 217(7)2020 07 06.
Article in English | MEDLINE | ID: mdl-32399548

ABSTRACT

A Th2 immune response is central to allergic airway inflammation, which afflicts millions worldwide. However, the mechanisms that augment GATA3 expression in an antigen-primed developing Th2 cell are not well understood. Here, we describe an unexpected role for Blimp-1, a transcriptional repressor that constrains autoimmunity, as an upstream promoter of GATA3 expression that is critical for Th2 cell development in the lung to inhaled but not systemically delivered allergens but is dispensable for TFH function and IgE production. Mechanistically, Blimp-1 acts through Bcl6, leading to increased GATA3 expression in lung Th2 cells. Surprisingly, the anti-inflammatory cytokine IL-10, but not the pro-inflammatory cytokines IL-6 or IL-21, is required via STAT3 activation to up-regulate Blimp-1 and promote Th2 cell development. These data reveal a hitherto unappreciated role for an IL-10-STAT3-Blimp-1 circuit as an initiator of an inflammatory Th2 response in the lung to allergens. Thus, Blimp-1 in a context-dependent fashion can drive inflammation by promoting rather than terminating effector T cell responses.


Subject(s)
Allergens/immunology , Asthma/immunology , Lung/immunology , Lung/pathology , Positive Regulatory Domain I-Binding Factor 1/metabolism , Th2 Cells/immunology , Animals , Asthma/complications , Cell Differentiation , GATA3 Transcription Factor/metabolism , Immunoglobulin E/metabolism , Inflammation/pathology , Interleukin-6/metabolism , Interleukins/metabolism , Lymph Nodes/metabolism , Mice, Inbred C57BL , Organ Specificity , Proto-Oncogene Proteins c-bcl-6/metabolism , Pyroglyphidae/immunology , Receptors, Interleukin-21/metabolism , STAT3 Transcription Factor/metabolism , Signal Transduction , T-Lymphocytes, Helper-Inducer/metabolism
2.
Mol Biol Evol ; 34(12): 3154-3168, 2017 Dec 01.
Article in English | MEDLINE | ID: mdl-29029226

ABSTRACT

Human high-altitude (HA) adaptation or mal-adaptation is explored to understand the physiology, pathophysiology, and molecular mechanisms that underlie long-term exposure to hypoxia. Here, we report the results of an analysis of the largest whole-genome-sequencing of Chronic Mountain Sickness (CMS) and nonCMS individuals, identified candidate genes and functionally validated these candidates in a genetic model system (Drosophila). We used PreCIOSS algorithm that uses Haplotype Allele Frequency score to separate haplotypes carrying the favored allele from the noncarriers and accordingly, prioritize genes associated with the CMS or nonCMS phenotype. Haplotypes in eleven candidate regions, with SNPs mostly in nonexonic regions, were significantly different between CMS and nonCMS subjects. Closer examination of individual genes in these regions revealed the involvement of previously identified candidates (e.g., SENP1) and also unreported ones SGK3, COPS5, PRDM1, and IFT122 in CMS. Remarkably, in addition to genes like SENP1, SGK3, and COPS5 which are HIF-dependent, our study reveals for the first time HIF-independent gene PRDM1, indicating an involvement of wider, nonHIF pathways in HA adaptation. Finally, we observed that down-regulating orthologs of these genes in Drosophila significantly enhanced their hypoxia tolerance. Taken together, the PreCIOSS algorithm, applied on a large number of genomes, identifies the involvement of both new and previously reported genes in selection sweeps, highlighting the involvement of multiple hypoxia response systems. Since the overwhelming majority of SNPs are in nonexonic (and possibly regulatory) regions, we speculate that adaptation to HA necessitates greater genetic flexibility allowing for transcript variability in response to graded levels of hypoxia.


Subject(s)
Acclimatization/genetics , Altitude Sickness/genetics , Adaptation, Physiological/genetics , Adult , Alleles , Altitude , Altitude Sickness/metabolism , Altitude Sickness/physiopathology , Animals , Chronic Disease , Drosophila/genetics , Evolution, Molecular , Gene Frequency/genetics , Haplotypes/genetics , Humans , Hypoxia/genetics , Hypoxia/physiopathology , Male , Peru , Polymorphism, Single Nucleotide/genetics , Positive Regulatory Domain I-Binding Factor 1/genetics , Positive Regulatory Domain I-Binding Factor 1/metabolism , Whole Genome Sequencing/methods
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