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BMC genomics2017; 18(1); 708; doi: 10.1186/s12864-017-4107-6

Impaired response of the bronchial epithelium to inflammation characterizes severe equine asthma.

Abstract: Severe equine asthma is a naturally occurring lung inflammatory disease of mature animals characterized by neutrophilic inflammation, bronchoconstriction, mucus hypersecretion and airway remodeling. Exacerbations are triggered by inhalation of dust and microbial components. Affected animals eventually are unable of aerobic performance. In this study transcriptomic differences between asthmatic and non-asthmatic animals in the response of the bronchial epithelium to an inhaled challenge were determined. Results: Paired endobronchial biopsies were obtained pre- and post-challenge from asthmatic and non-asthmatic animals. The transcriptome, determined by RNA-seq and analyzed with edgeR, contained 111 genes differentially expressed (DE) after challenge between horses with and without asthma, and 81 of these were upregulated. Genes involved in neutrophil migration and activation were in central location in interaction networks, and related gene ontology terms were significantly overrepresented. Relative abundance of specific gene products as determined by immunohistochemistry was correlated with differential gene expression. Gene sets involved in neutrophil chemotaxis, immune and inflammatory response, secretion, blood coagulation and apoptosis were overrepresented among up-regulated genes, while the rhythmic process gene set was overrepresented among down-regulated genes. MMP1, IL8, TLR4 and MMP9 appeared to be the most important proteins in connecting the STRING protein network of DE genes. Conclusions: Several differentially expressed genes and networks in horses with asthma also contribute to human asthma, highlighting similarities between severe human adult and equine asthma. Neutrophil activation by the bronchial epithelium is suggested as the trigger of the inflammatory cascade in equine asthma, followed by epithelial injury and impaired repair and differentiation. Circadian rhythm dysregulation and the sonic Hedgehog pathway were identified as potential novel contributory factors in equine asthma.
Publication Date: 2017-09-08 PubMed ID: 28886691PubMed Central: PMC5591550DOI: 10.1186/s12864-017-4107-6Google Scholar: Lookup
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  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research study focuses on the difference in bronchial epithelium response to inflammation between healthy horses and those suffering from severe equine asthma. Using transcriptomic analysis, the study identifies several differentially expressed genes and networks that are similar to those found in human asthma. The study suggests the key role of neutrophil activation as a trigger for the inflammatory response in equine asthma and highlights potential novel contributory factors like circadian rhythm dysregulation and the sonic Hedgehog pathway.

Research Methodology

  • The study used endobronchial biopsies obtained from both asthmatic and non-asthmatic horses, before and after an inhaled challenge.
  • The transcriptome of the biopsies was determined through RNA sequencing, and the data was analyzed with edgeR, a bioconductor software package for differential expression analysis.
  • The research identified 111 differentially expressed genes after the challenge between horses with and without asthma. Of these, 81 genes were upregulated.
  • Immunohistochemistry was employed to correlate the relative abundance of specific gene products with differential gene expression.

Research Findings

  • The study identified the genes involved in neutrophil migration and activation to be central in interaction networks. These related gene ontology terms were significantly overrepresented, suggesting the key role of neutrophil activation in the inflammatory response in equine asthma.
  • Gene sets involved in neutrophil chemotaxis, immune and inflammatory response, secretion, blood coagulation and apoptosis were overrepresented among up-regulated genes, indicating these processes were elevated in asthmatic horses.
  • Interestingly, the study found that the rhythmic process gene set was overrepresented among down-regulated genes, hinting at potential dysregulation of circadian rhythms in asthmatic horses.
  • Key proteins connecting the differentially expressed gene network included MMP1, IL8, TLR4 and MMP9. These are known contributors to inflammatory responses, highlighting their importance in the asthma pathway.

Conclusions and Implications

  • The study revealed several differentially expressed genes and interconnecting networks contributing to equine asthma that are also present in human asthma. This highlights the similarities between human adult asthma and severe equine asthma, potentially informing future medical research.
  • The impairments in bronchial epithelium response to inflammation in asthmatic horses were identified, suggesting epithelial injury and impaired repair and differentiation as part of the disease progression.
  • The study also identified potential new contributory factors to equine asthma, like circadian rhythm dysregulation and the sonic Hedgehog pathway. These novel findings show potential directions for future research into equine asthma.

Cite This Article

APA
Tessier L, Côté O, Clark ME, Viel L, Diaz-Méndez A, Anders S, Bienzle D. (2017). Impaired response of the bronchial epithelium to inflammation characterizes severe equine asthma. BMC Genomics, 18(1), 708. https://doi.org/10.1186/s12864-017-4107-6

Publication

ISSN: 1471-2164
NlmUniqueID: 100965258
Country: England
Language: English
Volume: 18
Issue: 1
Pages: 708
PII: 708

Researcher Affiliations

Tessier, Laurence
  • Department of Pathobiology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
Côté, Olivier
  • Department of Pathobiology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
  • Present address: BioAssay Works LLC, 10075 Tyler Place, Suite 18, Ijamsville, MD, 21754, USA.
Clark, Mary Ellen
  • Department of Pathobiology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
Viel, Laurent
  • Department of Clinical Studies, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
Diaz-Méndez, Andrés
  • Department of Clinical Studies, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
  • Present address: Centre for Equine Infectious Disease, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Anders, Simon
  • Institute for Molecular Medicine, Finland (FIMM), University of Helsinki, Tukholmankatu 8, 00014, Helsinki, Finland.
Bienzle, Dorothee
  • Department of Pathobiology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada. dbienzle@uoguelph.ca.

MeSH Terms

  • Animals
  • Asthma / genetics
  • Bronchi / metabolism
  • Gene Expression Profiling
  • Gene Ontology
  • Horses
  • Inflammation / genetics
  • Respiratory Mucosa / metabolism

Conflict of Interest Statement

ETHICS APPROVAL: All procedures were approved by the Institutional Animal Care Committee of the University of Guelph (protocol R10–031) and conducted in compliance with Canadian Council on Animal Care guidelines. Animals used in this research belong to the University of Guelph. CONSENT FOR PUBLICATION: Not applicable. COMPETING INTERESTS: The authors declare that they have no competing interests. PUBLISHER’S NOTE: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

This article includes 115 references
  1. Couëtil LL, Cardwell JM, Gerber V, Lavoie JP, Léguillette R, Richard EA. Inflammatory Airway Disease of Horses--Revised Consensus Statement.. J Vet Intern Med 2016 Mar-Apr;30(2):503-15.
    doi: 10.1111/jvim.13824pmc: PMC4913592pubmed: 26806374google scholar: lookup
  2. Costa LR, Johnson JR, Baur ME, Beadle RE. Temporal clinical exacerbation of summer pasture-associated recurrent airway obstruction and relationship with climate and aeroallergens in horses.. Am J Vet Res 2006 Sep;67(9):1635-42.
    doi: 10.2460/ajvr.67.9.1635pubmed: 16948614google scholar: lookup
  3. Pirie RS. Recurrent airway obstruction: a review.. Equine Vet J 2014 May;46(3):276-88.
    doi: 10.1111/evj.12204pubmed: 24164473google scholar: lookup
  4. Martinez FD, Vercelli D. Asthma.. Lancet 2013 Oct 19;382(9901):1360-72.
    doi: 10.1016/S0140-6736(13)61536-6pubmed: 24041942google scholar: lookup
  5. Vargas A, Roux-Dalvai F, Droit A, Lavoie JP. Neutrophil-Derived Exosomes: A New Mechanism Contributing to Airway Smooth Muscle Remodeling.. Am J Respir Cell Mol Biol 2016 Sep;55(3):450-61.
    doi: 10.1165/rcmb.2016-0033OCpubmed: 27105177google scholar: lookup
  6. Setlakwe EL, Lemos KR, Lavoie-Lamoureux A, Duguay JD, Lavoie JP. Airway collagen and elastic fiber content correlates with lung function in equine heaves.. Am J Physiol Lung Cell Mol Physiol 2014 Aug 1;307(3):L252-60.
    doi: 10.1152/ajplung.00019.2014pubmed: 24879055google scholar: lookup
  7. Gerber V, Tessier C, Marti E. Genetics of upper and lower airway diseases in the horse.. Equine Vet J 2015 Jul;47(4):390-7.
    doi: 10.1111/evj.12289pubmed: 24773614google scholar: lookup
  8. Gerber V, Baleri D, Klukowska-Rötzler J, Swinburne JE, Dolf G. Mixed inheritance of equine recurrent airway obstruction.. J Vet Intern Med 2009 May-Jun;23(3):626-30.
  9. Klukowska-Rötzler J, Swinburne JE, Drögemüller C, Dolf G, Janda J, Leeb T, Gerber V. The interleukin 4 receptor gene and its role in recurrent airway obstruction in Swiss Warmblood horses.. Anim Genet 2012 Aug;43(4):450-3.
  10. Swinburne JE, Bogle H, Klukowska-Rötzler J, Drögemüller M, Leeb T, Temperton E, Dolf G, Gerber V. A whole-genome scan for recurrent airway obstruction in Warmblood sport horses indicates two positional candidate regions.. Mamm Genome 2009 Aug;20(8):504-15.
    doi: 10.1007/s00335-009-9214-5pubmed: 19760324google scholar: lookup
  11. Jost U, Klukowska-Rötzler J, Dolf G, Swinburne JE, Ramseyer A, Bugno M, Burger D, Blott S, Gerber V. A region on equine chromosome 13 is linked to recurrent airway obstruction in horses.. Equine Vet J 2007 May;39(3):236-41.
    doi: 10.2746/042516407X171110pubmed: 17520975google scholar: lookup
  12. Ghosh S, Das PJ, McQueen CM, Gerber V, Swiderski CE, Lavoie JP, Chowdhary BP, Raudsepp T. Analysis of genomic copy number variation in equine recurrent airway obstruction (heaves).. Anim Genet 2016 Jun;47(3):334-44.
    doi: 10.1111/age.12426pubmed: 26932307google scholar: lookup
  13. Beeler-Marfisi J, Clark ME, Wen X, Sears W, Huber L, Ackerley C, Viel L, Bienzle D. Experimental induction of recurrent airway obstruction with inhaled fungal spores, lipopolysaccharide, and silica microspheres in horses.. Am J Vet Res 2010 Jun;71(6):682-9.
    doi: 10.2460/ajvr.71.6.682pubmed: 20513185google scholar: lookup
  14. Katavolos P, Ackerley CA, Clark ME, Bienzle D. Clara cell secretory protein increases phagocytic and decreases oxidative activity of neutrophils.. Vet Immunol Immunopathol 2011 Jan;139(1):1-9.
    doi: 10.1016/j.vetimm.2010.07.021pubmed: 20728946google scholar: lookup
  15. Greene CM, McElvaney NG. Proteases and antiproteases in chronic neutrophilic lung disease - relevance to drug discovery.. Br J Pharmacol 2009 Oct;158(4):1048-58.
  16. Katavolos P, Ackerley CA, Viel L, Clark ME, Wen X, Bienzle D. Clara cell secretory protein is reduced in equine recurrent airway obstruction.. Vet Pathol 2009 Jul;46(4):604-13.
    doi: 10.1354/vp.08-VP-0255-B-FLpubmed: 19276063google scholar: lookup
  17. Côté O, Lillie BN, Hayes MA, Clark ME, van den Bosch L, Katavolos P, Viel L, Bienzle D. Multiple secretoglobin 1A1 genes are differentially expressed in horses.. BMC Genomics 2012 Dec 19;13:712.
    doi: 10.1186/1471-2164-13-712pmc: PMC3556144pubmed: 23253434google scholar: lookup
  18. Ray A, Raundhal M, Oriss TB, Ray P, Wenzel SE. Current concepts of severe asthma.. J Clin Invest 2016 Jul 1;126(7):2394-403.
    doi: 10.1172/JCI84144pmc: PMC4922699pubmed: 27367183google scholar: lookup
  19. Ilmarinen P, Tuomisto LE, Kankaanranta H. Phenotypes, Risk Factors, and Mechanisms of Adult-Onset Asthma.. Mediators Inflamm 2015;2015:514868.
    doi: 10.1155/2015/514868pmc: PMC4619972pubmed: 26538828google scholar: lookup
  20. Wenzel SE. Asthma phenotypes: the evolution from clinical to molecular approaches.. Nat Med 2012 May 4;18(5):716-25.
    doi: 10.1038/nm.2678pubmed: 22561835google scholar: lookup
  21. Thomson NC. Novel approaches to the management of noneosinophilic asthma.. Ther Adv Respir Dis 2016 Jun;10(3):211-34.
    doi: 10.1177/1753465816632638pmc: PMC5933607pubmed: 26929306google scholar: lookup
  22. Kumar RK, Herbert C, Foster PS. Mouse models of acute exacerbations of allergic asthma.. Respirology 2016 Jul;21(5):842-9.
    doi: 10.1111/resp.12760pubmed: 26922049google scholar: lookup
  23. Babraham Bioinformatics - FastQC A Quality Control tool for High Throughput Sequence Data. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/. Accessed 2 Dec 2015.
  24. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
    doi: 10.1126/science.1178158pmc: PMC3785132pubmed: 19892987google scholar: lookup
  25. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras TR. STAR: ultrafast universal RNA-seq aligner.. Bioinformatics 2013 Jan 1;29(1):15-21.
  26. Anders S, Pyl PT, Huber W. HTSeq--a Python framework to work with high-throughput sequencing data.. Bioinformatics 2015 Jan 15;31(2):166-9.
  27. R: The R Project for Statistical Computing. https://www.r-project.org/. Accessed 23 Feb 2016.
  28. Zhou X, Lindsay H, Robinson MD. Robustly detecting differential expression in RNA sequencing data using observation weights.. Nucleic Acids Res 2014 Jun;42(11):e91.
    doi: 10.1093/nar/gku310pmc: PMC4066750pubmed: 24753412google scholar: lookup
  29. McCarthy DJ, Chen Y, Smyth GK. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation.. Nucleic Acids Res 2012 May;40(10):4288-97.
    doi: 10.1093/nar/gks042pmc: PMC3378882pubmed: 22287627google scholar: lookup
  30. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.. Bioinformatics 2010 Jan 1;26(1):139-40.
  31. Risso D, Schwartz K, Sherlock G, Dudoit S. GC-content normalization for RNA-Seq data.. BMC Bioinformatics 2011 Dec 17;12:480.
    doi: 10.1186/1471-2105-12-480pmc: PMC3315510pubmed: 22177264google scholar: lookup
  32. Cline MS, Smoot M, Cerami E, Kuchinsky A, Landys N, Workman C, Christmas R, Avila-Campilo I, Creech M, Gross B, Hanspers K, Isserlin R, Kelley R, Killcoyne S, Lotia S, Maere S, Morris J, Ono K, Pavlovic V, Pico AR, Vailaya A, Wang PL, Adler A, Conklin BR, Hood L, Kuiper M, Sander C, Schmulevich I, Schwikowski B, Warner GJ, Ideker T, Bader GD. Integration of biological networks and gene expression data using Cytoscape.. Nat Protoc 2007;2(10):2366-82.
    doi: 10.1038/nprot.2007.324pmc: PMC3685583pubmed: 17947979google scholar: lookup
  33. Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos A, Tsafou KP, Kuhn M, Bork P, Jensen LJ, von Mering C. STRING v10: protein-protein interaction networks, integrated over the tree of life.. Nucleic Acids Res 2015 Jan;43(Database issue):D447-52.
    doi: 10.1093/nar/gkဃpmc: PMC4383874pubmed: 25352553google scholar: lookup
  34. stringApp: Importing and augmenting Cytoscape networks from string-db. http://www.cgl.ucsf.edu/cytoscape/stringApp/index.shtml. Accessed 12 Oct 2016.
  35. Durinck S, Moreau Y, Kasprzyk A, Davis S, De Moor B, Brazma A, Huber W. BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis.. Bioinformatics 2005 Aug 15;21(16):3439-40.
    doi: 10.1093/bioinformatics/bti525pubmed: 16082012google scholar: lookup
  36. Durinck S, Spellman PT, Birney E, Huber W. Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt.. Nat Protoc 2009;4(8):1184-91.
    doi: 10.1038/nprot.2009.97pmc: PMC3159387pubmed: 19617889google scholar: lookup
  37. Mi H, Muruganujan A, Thomas PD. PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees.. Nucleic Acids Res 2013 Jan;41(Database issue):D377-86.
    doi: 10.1093/nar/gks1118pmc: PMC3531194pubmed: 23193289google scholar: lookup
  38. Chen B, Miller AL, Rebelatto M, Brewah Y, Rowe DC, Clarke L, Czapiga M, Rosenthal K, Imamichi T, Chen Y, Chang CS, Chowdhury PS, Naiman B, Wang Y, Yang D, Humbles AA, Herbst R, Sims GP. S100A9 induced inflammatory responses are mediated by distinct damage associated molecular patterns (DAMP) receptors in vitro and in vivo.. PLoS One 2015;10(2):e0115828.
  39. Freishtat RJ, Benton AS, Watson AM, Wang Z, Rose MC, Hoffman EP. Delineation of a gene network underlying the pulmonary response to oxidative stress in asthma.. J Investig Med 2009 Oct;57(7):756-64.
  40. Park SM, Park JS, Park HS, Park CS. Unraveling the genetic basis of aspirin hypersensitivity in asthma beyond arachidonate pathways.. Allergy Asthma Immunol Res 2013 Sep;5(5):258-76.
    doi: 10.4168/aair.2013.5.5.258pmc: PMC3756172pubmed: 24003382google scholar: lookup
  41. Hammad H, Chieppa M, Perros F, Willart MA, Germain RN, Lambrecht BN. House dust mite allergen induces asthma via Toll-like receptor 4 triggering of airway structural cells.. Nat Med 2009 Apr;15(4):410-6.
    doi: 10.1038/nm.1946pmc: PMC2789255pubmed: 19330007google scholar: lookup
  42. Khan MA, Assiri AM, Broering DC. Complement mediators: key regulators of airway tissue remodeling in asthma.. J Transl Med 2015 Aug 20;13:272.
    doi: 10.1186/s12967-015-0565-2pmc: PMC4544802pubmed: 26289385google scholar: lookup
  43. Cundall M, Sun Y, Miranda C, Trudeau JB, Barnes S, Wenzel SE. Neutrophil-derived matrix metalloproteinase-9 is increased in severe asthma and poorly inhibited by glucocorticoids.. J Allergy Clin Immunol 2003 Dec;112(6):1064-71.
    doi: 10.1016/j.jaci.2003.08.013pubmed: 14657859google scholar: lookup
  44. McMillan SJ, Kearley J, Campbell JD, Zhu XW, Larbi KY, Shipley JM, Senior RM, Nourshargh S, Lloyd CM. Matrix metalloproteinase-9 deficiency results in enhanced allergen-induced airway inflammation.. J Immunol 2004 Feb 15;172(4):2586-94.
    doi: 10.4049/jimmunol.172.4.2586pubmed: 14764732google scholar: lookup
  45. Allen IC, Lich JD, Arthur JC, Jania CM, Roberts RA, Callaway JB, Tilley SL, Ting JP. Characterization of NLRP12 during the development of allergic airway disease in mice.. PLoS One 2012;7(1):e30612.
  46. Li Q, Baines KJ, Gibson PG, Wood LG. Changes in Expression of Genes Regulating Airway Inflammation Following a High-Fat Mixed Meal in Asthmatics.. Nutrients 2016 Jan 7;8(1).
    pmc: PMC4728644pubmed: 26751474doi: 10.3390/n耐030google scholar: lookup
  47. Chen YC, Statt S, Wu R, Chang HT, Liao JW, Wang CN, Shyu WC, Lee CC. High mobility group box 1-induced epithelial mesenchymal transition in human airway epithelial cells.. Sci Rep 2016 Jan 7;6:18815.
    doi: 10.1038/srep18815pmc: PMC4703978pubmed: 26739898google scholar: lookup
  48. Bucova M, Suchankova M, Dzurilla M, Vrlik M, Novosadova H, Tedlova E, Urban S, Hornakova E, Seligova M, Durmanova V, Penz P, Javor J, Paulovicova E. Inflammatory marker sTREM-1 reflects the clinical stage and respiratory tract obstruction in allergic asthma bronchiale patients and correlates with number of neutrophils.. Mediators Inflamm 2012;2012:628754.
    doi: 10.1155/2012/628754pmc: PMC3399449pubmed: 22829716google scholar: lookup
  49. Anders S, Huber W. Differential expression analysis for sequence count data.. Genome Biol 2010;11(10):R106.
    doi: 10.1186/gb-2010-11-10-r106pmc: PMC3218662pubmed: 20979621google scholar: lookup
  50. Anders S, McCarthy DJ, Chen Y, Okoniewski M, Smyth GK, Huber W, Robinson MD. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor.. Nat Protoc 2013 Sep;8(9):1765-86.
    doi: 10.1038/nprot.2013.099pubmed: 23975260google scholar: lookup
  51. Soneson C, Delorenzi M. A comparison of methods for differential expression analysis of RNA-seq data.. BMC Bioinformatics 2013 Mar 9;14:91.
    doi: 10.1186/1471-2105-14-91pmc: PMC3608160pubmed: 23497356google scholar: lookup
  52. Nookaew I, Papini M, Pornputtapong N, Scalcinati G, Fagerberg L, Uhlén M, Nielsen J. A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae.. Nucleic Acids Res 2012 Nov 1;40(20):10084-97.
    doi: 10.1093/nar/gks804pmc: PMC3488244pubmed: 22965124google scholar: lookup
  53. Li Y, Xiao X, Ji X, Liu B, Amos CI. RNA-seq analysis of lung adenocarcinomas reveals different gene expression profiles between smoking and nonsmoking patients.. Tumour Biol 2015 Nov;36(11):8993-9003.
    doi: 10.1007/s13277-015-3576-ypmc: PMC4674426pubmed: 26081616google scholar: lookup
  54. Yick CY, Zwinderman AH, Kunst PW, Grünberg K, Mauad T, Dijkhuis A, Bel EH, Baas F, Lutter R, Sterk PJ. Transcriptome sequencing (RNA-Seq) of human endobronchial biopsies: asthma versus controls.. Eur Respir J 2013 Sep;42(3):662-70.
    doi: 10.1183/09031936.00115412pubmed: 23314903google scholar: lookup
  55. Bartner LR, Robinson NE, Kiupel M, Tesfaigzi Y. Persistent mucus accumulation: a consequence of delayed bronchial mucous cell apoptosis in RAO-affected horses?. Am J Physiol Lung Cell Mol Physiol 2006 Oct;291(4):L602-9.
    pubmed: 16500947doi: 10.1152/ajplung.00500.2005google scholar: lookup
  56. Kang JH, Hwang SM, Chung IY. S100A8, S100A9 and S100A12 activate airway epithelial cells to produce MUC5AC via extracellular signal-regulated kinase and nuclear factor-κB pathways.. Immunology 2015 Jan;144(1):79-90.
    doi: 10.1111/imm.12352pmc: PMC4264912pubmed: 24975020google scholar: lookup
  57. Fujisawa T, Velichko S, Thai P, Hung LY, Huang F, Wu R. Regulation of airway MUC5AC expression by IL-1beta and IL-17A; the NF-kappaB paradigm.. J Immunol 2009 Nov 15;183(10):6236-43.
    doi: 10.4049/jimmunol.0900614pmc: PMC4623590pubmed: 19841186google scholar: lookup
  58. Oslund KL, Adamson G, Wu R. Evaluation of MUC5AC expression and upregulation in airway epithelial cells of horses.. Am J Vet Res 2010 Jun;71(6):690-6.
    doi: 10.2460/ajvr.71.6.690pubmed: 20513186google scholar: lookup
  59. Gerber V, De Feijter-Rupp H, Wagner J, Venta P, Harkema JR, Robinson NE. Differential association of MUC5AC and CLCA1 expression in small cartilaginous airways of RAO-affected and control horses.. Equine Vet J 2009 Nov;41(8):817-23.
    doi: 10.2746/042516409X443305pubmed: 20095232google scholar: lookup
  60. Ohbayashi H, Shimokata K. Matrix metalloproteinase-9 and airway remodeling in asthma.. Curr Drug Targets Inflamm Allergy 2005 Apr;4(2):177-81.
    pubmed: 15853739doi: 10.2174/1568010053586246google scholar: lookup
  61. Bengatta S, Arnould C, Letavernier E, Monge M, de Préneuf HM, Werb Z, Ronco P, Lelongt B. MMP9 and SCF protect from apoptosis in acute kidney injury.. J Am Soc Nephrol 2009 Apr;20(4):787-97.
    doi: 10.1681/ASN.2008050515pmc: PMC2663840pubmed: 19329763google scholar: lookup
  62. Kolaczkowska E, Koziol A, Plytycz B, Arnold B, Opdenakker G. Altered apoptosis of inflammatory neutrophils in MMP-9-deficient mice is due to lower expression and activity of caspase-3.. Immunol Lett 2009 Sep 22;126(1-2):73-82.
    doi: 10.1016/j.imlet.2009.08.002pubmed: 19682497google scholar: lookup
  63. Chaudhuri R, McSharry C, Brady J, Grierson C, Messow CM, Spears M, Miele G, Nocka K, MacNee W, Connell M, Murchison JT, Sproule M, Hilmi OJ, Miller DK, Thomson NC. Low sputum MMP-9/TIMP ratio is associated with airway narrowing in smokers with asthma.. Eur Respir J 2014 Oct;44(4):895-904.
    doi: 10.1183/09031936.00047014pubmed: 24993912google scholar: lookup
  64. Malla N, Berg E, Theocharis AD, Svineng G, Uhlin-Hansen L, Winberg JO. In vitro reconstitution of complexes between pro-matrix metalloproteinase-9 and the proteoglycans serglycin and versican.. FEBS J 2013 Jun;280(12):2870-87.
    doi: 10.1111/febs.12291pubmed: 23601700google scholar: lookup
  65. Winberg JO, Kolset SO, Berg E, Uhlin-Hansen L. Macrophages secrete matrix metalloproteinase 9 covalently linked to the core protein of chondroitin sulphate proteoglycans.. J Mol Biol 2000 Dec 8;304(4):669-80.
    doi: 10.1006/jmbi.2000.4235pubmed: 11099388google scholar: lookup
  66. Korpetinou A, Skandalis SS, Labropoulou VT, Smirlaki G, Noulas A, Karamanos NK, Theocharis AD. Serglycin: at the crossroad of inflammation and malignancy.. Front Oncol 2014 Jan 13;3:327.
    doi: 10.3389/fonc.2013.00327pmc: PMC3888995pubmed: 24455486google scholar: lookup
  67. Niemann CU, Cowland JB, Klausen P, Askaa J, Calafat J, Borregaard N. Localization of serglycin in human neutrophil granulocytes and their precursors.. J Leukoc Biol 2004 Aug;76(2):406-15.
    doi: 10.1189/jlb.1003502pubmed: 15136585google scholar: lookup
  68. Palande K, Meenhuis A, Jevdjovic T, Touw IP. Scratching the surface: signaling and routing dynamics of the CSF3 receptor.. Front Biosci (Landmark Ed) 2013 Jan 1;18(1):91-105.
    doi: 10.2741/4089pubmed: 23276911google scholar: lookup
  69. Kunkel SL, Standiford T, Kasahara K, Strieter RM. Interleukin-8 (IL-8): the major neutrophil chemotactic factor in the lung.. Exp Lung Res 1991 Jan-Feb;17(1):17-23.
    doi: 10.3109/01902149109063278pubmed: 2013270google scholar: lookup
  70. Owen C. Chemokine receptors in airway disease: which receptors to target?. Pulm Pharmacol Ther 2001;14(3):193-202.
    doi: 10.1006/pupt.2001.0281pubmed: 11448146google scholar: lookup
  71. Xu H, Okamoto A, Ichikawa J, Ando T, Tasaka K, Masuyama K, Ogawa H, Yagita H, Okumura K, Nakao A. TWEAK/Fn14 interaction stimulates human bronchial epithelial cells to produce IL-8 and GM-CSF.. Biochem Biophys Res Commun 2004 May 28;318(2):422-7.
    doi: 10.1016/j.bbrc.2004.04.036pubmed: 15120617google scholar: lookup
  72. Burkly LC, Michaelson JS, Hahm K, Jakubowski A, Zheng TS. TWEAKing tissue remodeling by a multifunctional cytokine: role of TWEAK/Fn14 pathway in health and disease.. Cytokine 2007 Oct;40(1):1-16.
    doi: 10.1016/j.cyto.2007.09.007pubmed: 17981048google scholar: lookup
  73. Niedzwiedz A, Jaworski Z, Tykalowski B, Smialek M. Neutrophil and macrophage apoptosis in bronchoalveolar lavage fluid from healthy horses and horses with recurrent airway obstruction (RAO).. BMC Vet Res 2014 Jan 24;10:29.
    doi: 10.1186/1746-6148-10-29pmc: PMC3903020pubmed: 24460911google scholar: lookup
  74. Turlej RK, Fiévez L, Sandersen CF, Dogné S, Kirschvink N, Lekeux P, Bureau F. Enhanced survival of lung granulocytes in an animal model of asthma: evidence for a role of GM-CSF activated STAT5 signalling pathway.. Thorax 2001 Sep;56(9):696-702.
    doi: 10.1136/thorax.56.9.696pmc: PMC1746130pubmed: 11514690google scholar: lookup
  75. Pacholewska A, Jagannathan V, Drögemüller M, Klukowska-Rötzler J, Lanz S, Hamza E, Dermitzakis ET, Marti E, Leeb T, Gerber V. Impaired Cell Cycle Regulation in a Natural Equine Model of Asthma.. PLoS One 2015;10(8):e0136103.
  76. Chinnadurai G, Vijayalingam S, Rashmi R. BIK, the founding member of the BH3-only family proteins: mechanisms of cell death and role in cancer and pathogenic processes.. Oncogene 2008 Dec;27 Suppl 1(Suppl 1):S20-9.
    doi: 10.1038/onc.2009.40pmc: PMC2928562pubmed: 19641504google scholar: lookup
  77. Hardwick JM, Soane L. Multiple functions of BCL-2 family proteins.. Cold Spring Harb Perspect Biol 2013 Feb 1;5(2).
    pmc: PMC3552500pubmed: 23378584doi: 10.1101/cshperspect.a008722google scholar: lookup
  78. Côté O, Clark ME, Viel L, Labbé G, Seah SY, Khan MA, Douda DN, Palaniyar N, Bienzle D. Secretoglobin 1A1 and 1A1A differentially regulate neutrophil reactive oxygen species production, phagocytosis and extracellular trap formation.. PLoS One 2014;9(4):e96217.
  79. Wang Y, Li M, Stadler S, Correll S, Li P, Wang D, Hayama R, Leonelli L, Han H, Grigoryev SA, Allis CD, Coonrod SA. Histone hypercitrullination mediates chromatin decondensation and neutrophil extracellular trap formation.. J Cell Biol 2009 Jan 26;184(2):205-13.
    doi: 10.1083/jcb.200806072pmc: PMC2654299pubmed: 19153223google scholar: lookup
  80. Massberg S, Grahl L, von Bruehl ML, Manukyan D, Pfeiler S, Goosmann C, Brinkmann V, Lorenz M, Bidzhekov K, Khandagale AB, Konrad I, Kennerknecht E, Reges K, Holdenrieder S, Braun S, Reinhardt C, Spannagl M, Preissner KT, Engelmann B. Reciprocal coupling of coagulation and innate immunity via neutrophil serine proteases.. Nat Med 2010 Aug;16(8):887-96.
    doi: 10.1038/nm.2184pubmed: 20676107google scholar: lookup
  81. Lambrecht BN, Hammad H. Asthma and coagulation.. N Engl J Med 2013 Nov 14;369(20):1964-6.
    doi: 10.1056/NEJMcibr1311045pubmed: 24224631google scholar: lookup
  82. Leclere M, Bédard C, Cortes-Dubly ML, Lavoie JP. Blood hypercoagulability and systemic inflammation in horses with heaves.. Vet J 2015 Oct;206(1):105-7.
    doi: 10.1016/j.tvjl.2015.04.012pubmed: 26164529google scholar: lookup
  83. Crosby LM, Waters CM. Epithelial repair mechanisms in the lung.. Am J Physiol Lung Cell Mol Physiol 2010 Jun;298(6):L715-31.
    pmc: PMC2886606pubmed: 20363851doi: 10.1152/ajplung.00361.2009google scholar: lookup
  84. Sullivan C, Liu Y, Shen J, Curtis A, Newman C, Hock JM, Li X. Novel interactions between FOXM1 and CDC25A regulate the cell cycle.. PLoS One 2012;7(12):e51277.
  85. Wu W, Fan YH, Kemp BL, Walsh G, Mao L. Overexpression of cdc25A and cdc25B is frequent in primary non-small cell lung cancer but is not associated with overexpression of c-myc.. Cancer Res 1998 Sep 15;58(18):4082-5.
    pubmed: 9751615
  86. Tesfaigzi J, Th'ng J, Hotchkiss JA, Harkema JR, Wright PS. A small proline-rich protein, SPRR1, is upregulated early during tobacco smoke-induced squamous metaplasia in rat nasal epithelia.. Am J Respir Cell Mol Biol 1996 May;14(5):478-86.
    doi: 10.1165/ajrcmb.14.5.8624253pubmed: 8624253google scholar: lookup
  87. Kugler MC, Joyner AL, Loomis CA, Munger JS. Sonic hedgehog signaling in the lung. From development to disease.. Am J Respir Cell Mol Biol 2015 Jan;52(1):1-13.
    doi: 10.1165/rcmb.2014-0132TRpmc: PMC4370254pubmed: 25068457google scholar: lookup
  88. Li X, Howard TD, Moore WC, Ampleford EJ, Li H, Busse WW, Calhoun WJ, Castro M, Chung KF, Erzurum SC, Fitzpatrick AM, Gaston B, Israel E, Jarjour NN, Teague WG, Wenzel SE, Peters SP, Hawkins GA, Bleecker ER, Meyers DA. Importance of hedgehog interacting protein and other lung function genes in asthma.. J Allergy Clin Immunol 2011 Jun;127(6):1457-65.
    doi: 10.1016/j.jaci.2011.01.056pmc: PMC3105202pubmed: 21397937google scholar: lookup
  89. Hancock DB, Eijgelsheim M, Wilk JB, Gharib SA, Loehr LR, Marciante KD, Franceschini N, van Durme YM, Chen TH, Barr RG, Schabath MB, Couper DJ, Brusselle GG, Psaty BM, van Duijn CM, Rotter JI, Uitterlinden AG, Hofman A, Punjabi NM, Rivadeneira F, Morrison AC, Enright PL, North KE, Heckbert SR, Lumley T, Stricker BH, O'Connor GT, London SJ. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function.. Nat Genet 2010 Jan;42(1):45-52.
    doi: 10.1038/ng.500pmc: PMC2832852pubmed: 20010835google scholar: lookup
  90. Goriki A, Hatanaka F, Myung J, Kim JK, Yoritaka T, Tanoue S, Abe T, Kiyonari H, Fujimoto K, Kato Y, Todo T, Matsubara A, Forger D, Takumi T. A novel protein, CHRONO, functions as a core component of the mammalian circadian clock.. PLoS Biol 2014 Apr;12(4):e1001839.
  91. Pendergast JS, Friday RC, Yamazaki S. Distinct functions of Period2 and Period3 in the mouse circadian system revealed by in vitro analysis.. PLoS One 2010 Jan 1;5(1):e8552.
  92. Riba M, Garcia Manteiga JM, Bošnjak B, Cittaro D, Mikolka P, Le C, Epstein MM, Stupka E. Revealing the acute asthma ignorome: characterization and validation of uninvestigated gene networks.. Sci Rep 2016 Apr 21;6:24647.
    doi: 10.1038/srep24647pmc: PMC4838989pubmed: 27097888google scholar: lookup
  93. Scheiermann C, Kunisaki Y, Lucas D, Chow A, Jang JE, Zhang D, Hashimoto D, Merad M, Frenette PS. Adrenergic nerves govern circadian leukocyte recruitment to tissues.. Immunity 2012 Aug 24;37(2):290-301.
  94. Gibbs J, Ince L, Matthews L, Mei J, Bell T, Yang N, Saer B, Begley N, Poolman T, Pariollaud M, Farrow S, DeMayo F, Hussell T, Worthen GS, Ray D, Loudon A. An epithelial circadian clock controls pulmonary inflammation and glucocorticoid action.. Nat Med 2014 Aug;20(8):919-26.
    doi: 10.1038/nm.3599pmc: PMC4268501pubmed: 25064128google scholar: lookup
  95. Ge XN, Bahaie NS, Kang BN, Hosseinkhani MR, Ha SG, Frenzel EM, Liu FT, Rao SP, Sriramarao P. Allergen-induced airway remodeling is impaired in galectin-3-deficient mice.. J Immunol 2010 Jul 15;185(2):1205-14.
    doi: 10.4049/jimmunol.1000039pmc: PMC2918241pubmed: 20543100google scholar: lookup
  96. López E, del Pozo V, Miguel T, Sastre B, Seoane C, Civantos E, Llanes E, Baeza ML, Palomino P, Cárdaba B, Gallardo S, Manzarbeitia F, Zubeldia JM, Lahoz C. Inhibition of chronic airway inflammation and remodeling by galectin-3 gene therapy in a murine model.. J Immunol 2006 Feb 1;176(3):1943-50.
    doi: 10.4049/jimmunol.176.3.1943pubmed: 16424226google scholar: lookup
  97. Gao P, Simpson JL, Zhang J, Gibson PG. Galectin-3: its role in asthma and potential as an anti-inflammatory target.. Respir Res 2013 Dec 9;14(1):136.
    doi: 10.1186/1465-9921-14-136pmc: PMC3878924pubmed: 24313993google scholar: lookup
  98. Gao P, Gibson PG, Baines KJ, Yang IA, Upham JW, Reynolds PN, Hodge S, James AL, Jenkins C, Peters MJ, Zhang J, Simpson JL. Anti-inflammatory deficiencies in neutrophilic asthma: reduced galectin-3 and IL-1RA/IL-1β.. Respir Res 2015 Jan 24;16(1):5.
    doi: 10.1186/s12931-014-0163-5pmc: PMC4314745pubmed: 25616863google scholar: lookup
  99. Simpson JL, Baines KJ, Boyle MJ, Scott RJ, Gibson PG. Oncostatin M (OSM) is increased in asthma with incompletely reversible airflow obstruction.. Exp Lung Res 2009 Nov;35(9):781-94.
    doi: 10.3109/01902140902906412pubmed: 19916861google scholar: lookup
  100. Poole A, Urbanek C, Eng C, Schageman J, Jacobson S, O'Connor BP, Galanter JM, Gignoux CR, Roth LA, Kumar R, Lutz S, Liu AH, Fingerlin TE, Setterquist RA, Burchard EG, Rodriguez-Santana J, Seibold MA. Dissecting childhood asthma with nasal transcriptomics distinguishes subphenotypes of disease.. J Allergy Clin Immunol 2014 Mar;133(3):670-8.e12.
    doi: 10.1016/j.jaci.2013.11.025pmc: PMC4043390pubmed: 24495433google scholar: lookup
  101. Chan IH, Tang NL, Leung TF, Ma SL, Zhang YP, Wong GW, Wong CK, Lam CW. Association of prostaglandin-endoperoxide synthase 2 gene polymorphisms with asthma and atopy in Chinese children.. Allergy 2007 Jul;62(7):802-9.
  102. Planagumà A, Domènech T, Pont M, Calama E, García-González V, López R, Aulí M, López M, Fonquerna S, Ramos I, de Alba J, Nueda A, Prats N, Segarra V, Miralpeix M, Lehner MD. Combined anti CXC receptors 1 and 2 therapy is a promising anti-inflammatory treatment for respiratory diseases by reducing neutrophil migration and activation.. Pulm Pharmacol Ther 2015 Oct;34:37-45.
    doi: 10.1016/j.pupt.2015.08.002pubmed: 26271598google scholar: lookup
  103. Zhang J, Shan L, Koussih L, Redhu NS, Halayko AJ, Chakir J, Gounni AS. Pentraxin 3 (PTX3) expression in allergic asthmatic airways: role in airway smooth muscle migration and chemokine production.. PLoS One 2012;7(4):e34965.
  104. McNeil BD, Pundir P, Meeker S, Han L, Undem BJ, Kulka M, Dong X. Identification of a mast-cell-specific receptor crucial for pseudo-allergic drug reactions.. Nature 2015 Mar 12;519(7542):237-41.
    doi: 10.1038/nature14022pmc: PMC4359082pubmed: 25517090google scholar: lookup
  105. Karlsson T, Glogauer M, Ellen RP, Loitto VM, Magnusson KE, Magalhães MA. Aquaporin 9 phosphorylation mediates membrane localization and neutrophil polarization.. J Leukoc Biol 2011 Nov;90(5):963-73.
    doi: 10.1189/jlb.0910540pubmed: 21873454google scholar: lookup
  106. Liu H, Liu J, Toups M, Soos T, Arendt C. Gene signature-based mapping of immunological systems and diseases.. BMC Bioinformatics 2016 Apr 18;17:171.
    doi: 10.1186/s12859-016-1012-ypmc: PMC4836068pubmed: 27089880google scholar: lookup
  107. Dellambra E, Patrone M, Sparatore B, Negri A, Ceciliani F, Bondanza S, Molina F, Cancedda FD, De Luca M. Stratifin, a keratinocyte specific 14-3-3 protein, harbors a pleckstrin homology (PH) domain and enhances protein kinase C activity.. J Cell Sci 1995 Nov;108 ( Pt 11):3569-79.
    pubmed: 8586668doi: 10.1242/jcs.108.11.3569google scholar: lookup
  108. Kim S, Wong P, Coulombe PA. A keratin cytoskeletal protein regulates protein synthesis and epithelial cell growth.. Nature 2006 May 18;441(7091):362-5.
    doi: 10.1038/nature04659pubmed: 16710422google scholar: lookup
  109. Stewart CE, Nijmeh HS, Brightling CE, Sayers I. uPAR regulates bronchial epithelial repair in vitro and is elevated in asthmatic epithelium.. Thorax 2012 Jun;67(6):477-87.
  110. Zhao L, Yang W, Yang X, Lin Y, Lv J, Dou X, Luo Q, Dong J, Chen Z, Chu Y, He R. Chemerin suppresses murine allergic asthma by inhibiting CCL2 production and subsequent airway recruitment of inflammatory dendritic cells.. Allergy 2014 Jun;69(6):763-74.
    doi: 10.1111/all.12408pubmed: 24758146google scholar: lookup
  111. Kawano T, Morimoto K, Uemura Y. Partial purification and properties of urokinase inhibitor from human placenta.. J Biochem 1970 Mar;67(3):333-42.
  112. Woodruff PG, Boushey HA, Dolganov GM, Barker CS, Yang YH, Donnelly S, Ellwanger A, Sidhu SS, Dao-Pick TP, Pantoja C, Erle DJ, Yamamoto KR, Fahy JV. Genome-wide profiling identifies epithelial cell genes associated with asthma and with treatment response to corticosteroids.. Proc Natl Acad Sci U S A 2007 Oct 2;104(40):15858-63.
    doi: 10.1073/pnas.0707413104pmc: PMC2000427pubmed: 17898169google scholar: lookup
  113. Leonard B, McCann JL, Starrett GJ, Kosyakovsky L, Luengas EM, Molan AM, Burns MB, McDougle RM, Parker PJ, Brown WL, Harris RS. The PKC/NF-κB signaling pathway induces APOBEC3B expression in multiple human cancers.. Cancer Res 2015 Nov 1;75(21):4538-47.
  114. Munitz A, Bachelet I, Levi-Schaffer F. Reversal of airway inflammation and remodeling in asthma by a bispecific antibody fragment linking CCR3 to CD300a.. J Allergy Clin Immunol 2006 Nov;118(5):1082-9.
    doi: 10.1016/j.jaci.2006.07.041pubmed: 17088133google scholar: lookup
  115. Nakahashi-Oda C, Tahara-Hanaoka S, Shoji M, Okoshi Y, Nakano-Yokomizo T, Ohkohchi N, Yasui T, Kikutani H, Honda S, Shibuya K, Nagata S, Shibuya A. Apoptotic cells suppress mast cell inflammatory responses via the CD300a immunoreceptor.. J Exp Med 2012 Jul 30;209(8):1493-503.
    doi: 10.1084/jem.20120096pmc: PMC3409498pubmed: 22826299google scholar: lookup

Citations

This article has been cited 21 times.
  1. Woodrow JS, Sheats MK, Cooper B, Bayless R. Asthma: The Use of Animal Models and Their Translational Utility.. Cells 2023 Apr 5;12(7).
    doi: 10.3390/cells12071091pubmed: 37048164google scholar: lookup
  2. Woodrow JS, Hines M, Sommardahl C, Flatland B, Lo Y, Wang Z, Sheats MK, Lennon EM. Initial investigation of molecular phenotypes of airway mast cells and cytokine profiles in equine asthma.. Front Vet Sci 2022;9:997139.
    doi: 10.3389/fvets.2022.997139pubmed: 36713876google scholar: lookup
  3. Sage SE, Nicholson P, Leeb T, Gerber V, Jagannathan V. Long-Read Transcriptome of Equine Bronchoalveolar Cells.. Genes (Basel) 2022 Sep 25;13(10).
    doi: 10.3390/genes13101722pubmed: 36292607google scholar: lookup
  4. Simões J, Batista M, Tilley P. The Immune Mechanisms of Severe Equine Asthma-Current Understanding and What Is Missing.. Animals (Basel) 2022 Mar 16;12(6).
    doi: 10.3390/ani12060744pubmed: 35327141google scholar: lookup
  5. Lee GKC, Kang H, Beeler-Marfisi J, Sears W, Lillie BN, Bienzle D. Effects of equine SALSA on neutrophil phagocytosis and macrophage cytokine production.. PLoS One 2022;17(3):e0264911.
    doi: 10.1371/journal.pone.0264911pubmed: 35286327google scholar: lookup
  6. Karagianni AE, Kurian D, Cillán-Garcia E, Eaton SL, Wishart TM, Pirie RS. Training associated alterations in equine respiratory immunity using a multiomics comparative approach.. Sci Rep 2022 Jan 10;12(1):427.
    doi: 10.1038/s41598-021-04137-3pubmed: 35013475google scholar: lookup
  7. Lee GKC, Beeler-Marfisi J, Viel L, Piché É, Kang H, Sears W, Bienzle D. Bronchial brush cytology, endobronchial biopsy, and SALSA immunohistochemistry in severe equine asthma.. Vet Pathol 2022 Jan;59(1):100-111.
    doi: 10.1177/03009858211048635pubmed: 34903109google scholar: lookup
  8. Nahalka J. Theoretical Analysis of S, M and N Structural Proteins by the Protein-RNA Recognition Code Leads to Genes/proteins that Are Relevant to the SARS-CoV-2 Life Cycle and Pathogenesis.. Front Genet 2021;12:763995.
    doi: 10.3389/fgene.2021.763995pubmed: 34659373google scholar: lookup
  9. Hachim MY, Elemam NM, Ramakrishnan RK, Salameh L, Olivenstein R, Hachim IY, Venkatachalam T, Mahboub B, Al Heialy S, Hamid Q, Hamoudi R. Derangement of cell cycle markers in peripheral blood mononuclear cells of asthmatic patients as a reliable biomarker for asthma control.. Sci Rep 2021 Jun 4;11(1):11873.
    doi: 10.1038/s41598-021-91087-5pubmed: 34088958google scholar: lookup
  10. Morini M, Peli A, Rinnovati R, Magazzù G, Romagnoli N, Spadari A, Pietra M. Immunohistochemical Expression of Neurokinin-A and Interleukin-8 in the Bronchial Epithelium of Horses with Severe Equine Asthma Syndrome during Asymptomatic, Exacerbation, and Remission Phase.. Animals (Basel) 2021 May 12;11(5).
    doi: 10.3390/ani11051376pubmed: 34066204google scholar: lookup
  11. Davis KU, Sheats MK. Differential gene expression and Ingenuity Pathway Analysis of bronchoalveolar lavage cells from horses with mild/moderate neutrophilic or mastocytic inflammation on BAL cytology.. Vet Immunol Immunopathol 2021 Apr;234:110195.
    doi: 10.1016/j.vetimm.2021.110195pubmed: 33588285google scholar: lookup
  12. Couetil L, Cardwell JM, Leguillette R, Mazan M, Richard E, Bienzle D, Bullone M, Gerber V, Ivester K, Lavoie JP, Martin J, Moran G, Niedźwiedź A, Pusterla N, Swiderski C. Equine Asthma: Current Understanding and Future Directions.. Front Vet Sci 2020;7:450.
    doi: 10.3389/fvets.2020.00450pubmed: 32903600google scholar: lookup
  13. Lee GKC, Tessier L, Bienzle D. Salivary Scavenger and Agglutinin (SALSA) Is Expressed in Mucosal Epithelial Cells and Decreased in Bronchial Epithelium of Asthmatic Horses.. Front Vet Sci 2019;6:418.
    doi: 10.3389/fvets.2019.00418pubmed: 31850379google scholar: lookup
  14. Chen X, Qiu C. Respiratory tract mucous membrane microecology and asthma.. Ann Transl Med 2019 Sep;7(18):495.
    doi: 10.21037/atm.2019.09.06pubmed: 31700931google scholar: lookup
  15. Sheats MK, Davis KU, Poole JA. Comparative Review of Asthma in Farmers and Horses.. Curr Allergy Asthma Rep 2019 Oct 10;19(11):50.
    doi: 10.1007/s11882-019-0882-2pubmed: 31599358google scholar: lookup
  16. Bright LA, Dittmar W, Nanduri B, McCarthy FM, Mujahid N, Costa LR, Burgess SC, Swiderski CE. Modeling the pasture-associated severe equine asthma bronchoalveolar lavage fluid proteome identifies molecular events mediating neutrophilic airway inflammation.. Vet Med (Auckl) 2019;10:43-63.
    doi: 10.2147/VMRR.S194427pubmed: 31119093google scholar: lookup
  17. Tessier L, Côté O, Clark ME, Viel L, Diaz-Méndez A, Anders S, Bienzle D. Gene set enrichment analysis of the bronchial epithelium implicates contribution of cell cycle and tissue repair processes in equine asthma.. Sci Rep 2018 Nov 6;8(1):16408.
    doi: 10.1038/s41598-018-34636-9pubmed: 30401798google scholar: lookup
  18. Tessier L, Côté O, Bienzle D. Sequence variant analysis of RNA sequences in severe equine asthma.. PeerJ 2018;6:e5759.
    doi: 10.7717/peerj.5759pubmed: 30324028google scholar: lookup
  19. Bond S, Léguillette R, Richard EA, Couetil L, Lavoie JP, Martin JG, Pirie RS. Equine asthma: Integrative biologic relevance of a recently proposed nomenclature.. J Vet Intern Med 2018 Nov;32(6):2088-2098.
    doi: 10.1111/jvim.15302pubmed: 30294851google scholar: lookup
  20. Mason VC, Schaefer RJ, McCue ME, Leeb T, Gerber V. eQTL discovery and their association with severe equine asthma in European Warmblood horses.. BMC Genomics 2018 Aug 2;19(1):581.
    doi: 10.1186/s12864-018-4938-9pubmed: 30071827google scholar: lookup
  21. Zavodovskaya R, Stover SM, Murphy BG, Katzman S, Durbin-Johnson B, Britton M, Finno CJ. Bone formation transcripts dominate the differential gene expression profile in an equine osteoporotic condition associated with pulmonary silicosis.. PLoS One 2018;13(6):e0197459.
    doi: 10.1371/journal.pone.0197459pubmed: 29856822google scholar: lookup