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      Initial investigation of molecular phenotypes of airway mast cells and cytokine profiles in equine asthma

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          Abstract

          Equine asthma is a naturally occurring lung disease characterized by chronic, partially reversible airway obstruction, pulmonary remodeling, and lower airway inflammation. Asthma is currently divided into two major groups, mild to moderate asthma (mEA) and severe asthma (sEA), but further subtyping by phenotype (i.e., clinical presentation) and/or endotype (i.e., cellular mechanisms) may be warranted. For this study, we were interested in further investigation of cellular and inflammatory characteristics of EA, including airway mast cells. The purpose of this study was to: (1) compare mast cell protease mRNA expression between healthy and asthmatic horses, (2) analyze the cytokine profile present in BALF of currently defined equine asthma groups, and (3) use these data to evaluate potential biomarkers of defined asthma groups. We hypothesized that there would be significant differences in the cellular mast cell phenotypes (i.e., mucosal vs. connective tissue) and cytokine profiles in the BALF of asthmatic vs. healthy horses and across asthma groups. We assert these characteristics may inform additional subtypes of equine asthma. Adult horses were recruited from the institution's teaching herd and clinical caseload. Mast cell protease gene expression of the BALF cellular component and multiplex bead immunoassay for cytokine concentrations in the BALF supernatant were investigated. Airway mast cells primarily expressed tryptase, with low levels of chymase. No significant changes in protease expression were detected across groups. Horses with severe asthma had increased TNF-α, CXCL-8, and IFN-γ concentrations in BALF supernatant. Multidimensional analysis demonstrated healthy and mEA horses have overlapping characteristics, with sEA separating from the other groups. This difference was primarily due to BALF neutrophil and lymphocyte concentrations. These study results further inform understanding of EA immunopathology, and future studies designed to investigate asthma phenotypes and endotypes. Ultimately, a better understanding of these groups could help identify novel therapeutic strategies.

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          Most cited references72

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          Type 2 inflammation in asthma--present in most, absent in many.

          John Fahy (2015)
          Asthma is one of the most common chronic immunological diseases in humans, affecting people from childhood to old age. Progress in treating asthma has been relatively slow and treatment guidelines have mostly recommended empirical approaches on the basis of clinical measures of disease severity rather than on the basis of the underlying mechanisms of pathogenesis. An important molecular mechanism of asthma is type 2 inflammation, which occurs in many but not all patients. In this Opinion article, I explore the role of type 2 inflammation in asthma, including lessons learnt from clinical trials of inhibitors of type 2 inflammation. I consider how dichotomizing asthma according to levels of type 2 inflammation--into 'T helper 2 (TH2)-high' and 'TH2-low' subtypes (endotypes)--has shaped our thinking about the pathobiology of asthma and has generated new interest in understanding the mechanisms of disease that are independent of type 2 inflammation.
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            Understanding Asthma Phenotypes, Endotypes, and Mechanisms of Disease

            The model of asthma as a single entity has now been replaced by a much more complex biological network of distinct and interrelating inflammatory pathways. The term asthma is now considered an umbrella diagnosis for several diseases with distinct mechanistic pathways (endotypes) and variable clinical presentations (phenotypes). The precise definition of these endotypes is central to asthma management due to inherent therapeutic and prognostic implications. This review presents the molecular mechanisms behind the heterogeneity of airway inflammation in asthmatic patients. Asthma endotypes may be broadly regarded as type 2 (T2) high or T2-low. Several biologic agents have been approved for T2-high asthma, with numerous other therapeutics that are incipient and similarly targeted at specific molecular mechanisms. Collectively, these advances have shifted existing paradigms in the approach to asthma to tailor novel therapies.
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              The Cytokines of Asthma

              Asthma is a chronic inflammatory airway disease associated with type 2 cytokines interleukin-4 (IL-4), IL-5, and IL-13, which promote airway eosinophilia, mucus overproduction, bronchial hyperresponsiveness (BHR), and immunogloubulin E (IgE) synthesis. However, only half of asthma patients exhibit signs of an exacerbated Type 2 response. "Type 2-low" asthma has different immune features: airway neutrophilia, obesity-related systemic inflammation, or in some cases, few signs of immune activation. Here, we review the cytokine networks driving asthma, placing these in cellular context and incorporating insights from cytokine-targeting therapies in the clinic. We discuss established and emerging paradigms in the context of the growing appreciation of disease heterogeneity and argue that the development of new and improved therapeutics will require understanding the diverse mechanisms underlying the spectrum of asthma pathologies.
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                Author and article information

                Contributors
                Journal
                Front Vet Sci
                Front Vet Sci
                Front. Vet. Sci.
                Frontiers in Veterinary Science
                Frontiers Media S.A.
                2297-1769
                11 January 2023
                2022
                : 9
                : 997139
                Affiliations
                [1] 1Department of Comparative and Experimental Medicine, College of Veterinary Medicine, University of Tennessee, Knoxville , Knoxville, TN, United States
                [2] 2Department of Clinical Sciences and Advanced Medicine, College of Veterinary Medicine, University of Pennsylvania , Philadelphia, PA, United States
                [3] 3Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville , Knoxville, TN, United States
                [4] 4Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville , Knoxville, TN, United States
                [5] 5Bioinformatics Core, Institute for Biomedical Informatics, University of Pennsylvania , Philadelphia, PA, United States
                [6] 6Department of Clinical Sciences, Comparative Medicine Institute, College of Veterinary Medicine, North Carolina State University , Raleigh, NC, United States
                Author notes

                Edited by: Michela Bullone, University of Turin, Italy

                Reviewed by: Laurent Couetil, Purdue University, United States; Julia Montgomery, University of Saskatchewan, Canada

                *Correspondence: Elizabeth M. Lennon ✉ mlennon@ 123456vet.upenn.edu

                This article was submitted to Comparative and Clinical Medicine, a section of the journal Frontiers in Veterinary Science

                Article
                10.3389/fvets.2022.997139
                9875299
                36713876
                b5bc0535-5d28-40c5-a24b-69c8db917020
                Copyright © 2023 Woodrow, Hines, Sommardahl, Flatland, Lo, Wang, Sheats and Lennon.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 18 July 2022
                : 23 December 2022
                Page count
                Figures: 4, Tables: 4, Equations: 0, References: 72, Pages: 14, Words: 9231
                Funding
                Funded by: Morris Animal Foundation, doi 10.13039/100001250;
                Award ID: D18EQ-830
                Funded by: Boehringer Ingelheim, doi 10.13039/100008349;
                Award ID: Advancement in Equine Research Award 2018
                Funded by: Office of Extramural Research, National Institutes of Health, doi 10.13039/100006955;
                Award ID: K01 OD019729
                This work was funded by the Morris Animal Foundation (D18EQ-830) and Boehringer Ingelheim Vetmedica, Inc. (2018 Advancement in Equine Research Award). Boehringer Ingelheim Vetmedica, Inc. was not involved in the study design, collection, analysis, interpretation of the data, the writing of this article, or the decision to submit it for publication. EL was supported by a U.S. National Institutes of Health Mentored Research Scientist Development Award (K01 OD019729).
                Categories
                Veterinary Science
                Original Research

                equine,asthma,mast cell,cytokine,chemokine,airway
                equine, asthma, mast cell, cytokine, chemokine, airway

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