Analyze Diet
Animals : an open access journal from MDPI2022; 12(22); 3094; doi: 10.3390/ani12223094

Homeostasis of the Intestinal Mucosa in Healthy Horses-Correlation between the Fecal Microbiome, Secretory Immunoglobulin A and Fecal Egg Count.

Abstract: The defensive function of the intestinal mucosa depends both on the ability to secrete immunoglobulin A and communication with the mucus microbiome. In horses, the functioning of this system is also influenced by the presence of nematode eggs. Feces collected from healthy horses were examined to determine the fecal egg count, immunoglobulin A level (ELISA), microbiome composition (Next-Generation Sequencing, NGS, V3−V4 and V7−V9 hypervariable regions of the 16S rRNA gene analysis and short-chain fatty acid (SCFA) production ((high-performance liquid chromatography, HPLC). In the taxonomic analysis within the phylum, the following order of dominance was found: Firmicutes, Bacteroidota, Verrucomicrobiota and Fibrobacterota. The coefficient of phylogenetic diversity of the microbiome positively correlated with both secretory immunoglobulin A (SIgA) [μg/g of feces] (p = 0.0354, r = 0.61) and SIgA [μg/mg of fecal protein] (p = 0.0382, r = 0.6) and with the number of Cyathostomum eggs (p = 0.0023, r = 0.79). Important components of the key microbiome in horses, such as phylum Proteobacteria and species Ruminococcus flavefaciens, were positively correlated with the fecal SIgA (p < 0.05). All the obtained results indicate the existence of significant relationships between the host response (SIgA production) and composition and SCFA production in the microbiome as well as the presence of small strongyles in the digestive tract of horses.
Publication Date: 2022-11-10 PubMed ID: 36428322PubMed Central: PMC9687066DOI: 10.3390/ani12223094Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • 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 examined the relationship between the fecal microbiome, immunoglobulin A and nematode egg presence in the intestinal health of horses. It suggested a significant interplay between these factors, all combining to form the basis of the intestinal defense system in horses.

Objectives and methodology of the research:

  • The primary objective of this study was to investigate the relationship between the defensive function of the intestinal mucosa in healthy horses, specifically the secretion of Immunoglobulin A (IgA), the fecal microbiome, and the presence of nematode eggs.
  • Feces from healthy horses were analyzed to study these aspects. The analysis included determining the fecal egg count, the immunoglobulin A (IgA) level via ELISA, and the microbiome composition using Next-Generation Sequencing (NGS).
  • Further, the researchers used high-performance liquid chromatography (HPLC) for studying the production of short-chain fatty acid (SCFA), which is a crucial part of the gut biome.

Findings from the taxonomic analysis:

  • The taxonomic analysis of the dominant phylum in the feces showed the order Firmicutes, Bacteroidota, Verrucomicrobiota, and Fibrobacterota.
  • The research found that the phylogenetic diversity of the microbiome showed positive correlations with both the secretory immunoglobulin A (SIgA) and the number of Cyathostomum eggs. This implies that the diversity of bacteria present in the feces reflects the level of SIgA and nematode eggs.
  • Some essential components of the horse’s microbiome such as phylum Proteobacteria and species Ruminococcus flavefaciens were found to positively correlate with the fecal SIgA, suggesting their potential influence on the horse’s immune response.

Conclusions drawn from the research:

  • All the resulting data pointed to the critical relationships existing between the host’s immune response (SIgA production) and the composition and SCFA production in the microbiome, as well as the presence of small strongyles (a type of nematode or round worms) in the horse’s digestive tract.
  • This implies that the maintenance of a healthy horse’s intestinal environment relies on the complex interplay of the microbiome, the immune response (SIgA production in this case), and nematode infestation.
  • The research, though focused on horses, could have broader implications in understanding similar dynamics in other animals, possibly even in humans.

Cite This Article

APA
Żak-Bochenek A, Bajzert J, Sambor D, Siwińska N, Szponar B, Łaczmański Ł, Żebrowska P, Czajkowska A, Karczewski M, Chełmońska-Soyta A. (2022). Homeostasis of the Intestinal Mucosa in Healthy Horses-Correlation between the Fecal Microbiome, Secretory Immunoglobulin A and Fecal Egg Count. Animals (Basel), 12(22), 3094. https://doi.org/10.3390/ani12223094

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 12
Issue: 22
PII: 3094

Researcher Affiliations

Żak-Bochenek, Agnieszka
  • Department of Immunology, Pathophysiology and Veterinary Preventive Medicine, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, C. Norwida 31, 50-375 Wroclaw, Poland.
Bajzert, Joanna
  • Department of Immunology, Pathophysiology and Veterinary Preventive Medicine, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, C. Norwida 31, 50-375 Wroclaw, Poland.
Sambor, Dominika
  • Department of Immunology, Pathophysiology and Veterinary Preventive Medicine, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, C. Norwida 31, 50-375 Wroclaw, Poland.
Siwińska, Natalia
  • Department of Internal Diseases and Clinic of Diseases of Horses, Dogs and Cats, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, C. Norwida 31, 50-375 Wroclaw, Poland.
Szponar, Bogumiła
  • Laboratory of Genomics and Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland.
Łaczmański, Łukasz
  • Laboratory of Genomics and Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland.
Żebrowska, Paulina
  • Laboratory of Genomics and Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland.
Czajkowska, Aleksandra
  • Laboratory of Genomics and Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland.
Karczewski, Maciej
  • Department of Applied Mathematics, Faculty of Environmental Engineering and Geodesy, Wrocław University of Environmental and Life Sciences, C. Norwida 31, 50-375 Wroclaw, Poland.
Chełmońska-Soyta, Anna
  • Department of Immunology, Pathophysiology and Veterinary Preventive Medicine, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, C. Norwida 31, 50-375 Wroclaw, Poland.

Conflict of Interest Statement

The authors declare no conflict of interest.

References

This article includes 50 references
  1. Gutzeit C, Magri G, Cerutti A. Intestinal IgA production and its role in host-microbe interaction.. Immunol Rev 2014 Jul;260(1):76-85.
    doi: 10.1111/imr.12189pmc: PMC4174397pubmed: 24942683google scholar: lookup
  2. Maynard CL, Elson CO, Hatton RD, Weaver CT. Reciprocal interactions of the intestinal microbiota and immune system.. Nature 2012 Sep 13;489(7415):231-41.
    doi: 10.1038/nature11551pmc: PMC4492337pubmed: 22972296google scholar: lookup
  3. Chase C, Kaushik RS. Mucosal Immune System of Cattle: All Immune Responses Begin Here.. Vet Clin North Am Food Anim Pract 2019 Nov;35(3):431-451.
    doi: 10.1016/j.cvfa.2019.08.006pmc: PMC7126126pubmed: 31590896google scholar: lookup
  4. Khosravi A, Mazmanian SK. Disruption of the gut microbiome as a risk factor for microbial infections.. Curr Opin Microbiol 2013 Apr;16(2):221-7.
    doi: 10.1016/j.mib.2013.03.009pmc: PMC5695238pubmed: 23597788google scholar: lookup
  5. O' Donnell MM, Harris HM, Jeffery IB, Claesson MJ, Younge B, O' Toole PW, Ross RP. The core faecal bacterial microbiome of Irish Thoroughbred racehorses.. Lett Appl Microbiol 2013 Dec;57(6):492-501.
    doi: 10.1111/lam.12137pubmed: 23889584google scholar: lookup
  6. Kauter A, Epping L, Semmler T, Antao EM, Kannapin D, Stoeckle SD, Gehlen H, Lübke-Becker A, Günther S, Wieler LH, Walther B. The gut microbiome of horses: current research on equine enteral microbiota and future perspectives.. Anim Microbiome 2019 Nov 13;1(1):14.
    doi: 10.1186/s42523-019-0013-3pmc: PMC7807895pubmed: 33499951google scholar: lookup
  7. Lindenberg F, Krych L, Kot W, Fielden J, Frøkiær H, van Galen G, Nielsen DS, Hansen AK. Development of the equine gut microbiota.. Sci Rep 2019 Oct 8;9(1):14427.
    doi: 10.1038/s41598-019-50563-9pmc: PMC6783416pubmed: 31594971google scholar: lookup
  8. Edwards JE, Shetty SA, van den Berg P, Burden F, van Doorn DA, Pellikaan WF, Dijkstra J, Smidt H. Multi-kingdom characterization of the core equine fecal microbiota based on multiple equine (sub)species.. Anim Microbiome 2020 Feb 12;2(1):6.
    doi: 10.1186/s42523-020-0023-1pmc: PMC7807809pubmed: 33499982google scholar: lookup
  9. Tan J, McKenzie C, Potamitis M, Thorburn AN, Mackay CR, Macia L. The role of short-chain fatty acids in health and disease.. Adv Immunol 2014;121:91-119.
  10. Parasite Control Guidelines Developed by the AAEP Parasite Control Subcommittee of the AAEP Infectious Disease Committee. 2013. [(accessed on 3 November 2022)]. Available online: https://aaep.org/sites/default/files/Guidelines/AAEPParasiteControlGuidelines_0.pdf.
  11. Maeda S, Ohno K, Uchida K, Nakashima K, Fukushima K, Tsukamoto A, Nakajima M, Fujino Y, Tsujimoto H. Decreased immunoglobulin A concentrations in feces, duodenum, and peripheral blood mononuclear cells of dogs with inflammatory bowel disease.. J Vet Intern Med 2013 Jan-Feb;27(1):47-55.
    doi: 10.1111/jvim.12023pubmed: 23216572google scholar: lookup
  12. Stewart HL, Pitta D, Indugu N, Vecchiarelli B, Engiles JB, Southwood LL. Characterization of the fecal microbiota of healthy horses.. Am J Vet Res 2018 Aug;79(8):811-819.
    doi: 10.2460/ajvr.79.8.811pubmed: 30058849google scholar: lookup
  13. Zak A, Siwinska N, Slowikowska M, Borowicz H, Kubiak K, Hildebrand J, Popiolek M, Niedzwiedz A. Searching for ivermectin resistance in a Strongylidae population of horses stabled in Poland.. BMC Vet Res 2017 Jul 3;13(1):210.
    doi: 10.1186/s12917-017-1133-1pmc: PMC5496315pubmed: 28673347google scholar: lookup
  14. Marr I, Preisler V, Farmer K, Stefanski V, Krueger K. Non-invasive stress evaluation in domestic horses (Equus caballus): impact of housing conditions on sensory laterality and immunoglobulin A.. R Soc Open Sci 2020 Feb;7(2):191994.
    doi: 10.1098/rsos.191994pmc: PMC7062079pubmed: 32257351google scholar: lookup
  15. Torii T, Kanemitsu K, Wada T, Itoh S, Kinugawa K, Hagiwara A. Measurement of short-chain fatty acids in human faeces using high-performance liquid chromatography: specimen stability.. Ann Clin Biochem 2010 Sep;47(Pt 5):447-52.
    doi: 10.1258/acb.2010.010047pubmed: 20595408google scholar: lookup
  16. Grimm P, Philippeau C, Julliand V. Faecal parameters as biomarkers of the equine hindgut microbial ecosystem under dietary change.. Animal 2017 Jul;11(7):1136-1145.
    doi: 10.1017/S1751731116002779pubmed: 28065211google scholar: lookup
  17. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodríguez AM, Chase J, Cope EK, Da Silva R, Diener C, Dorrestein PC, Douglas GM, Durall DM, Duvallet C, Edwardson CF, Ernst M, Estaki M, Fouquier J, Gauglitz JM, Gibbons SM, Gibson DL, Gonzalez A, Gorlick K, Guo J, Hillmann B, Holmes S, Holste H, Huttenhower C, Huttley GA, Janssen S, Jarmusch AK, Jiang L, Kaehler BD, Kang KB, Keefe CR, Keim P, Kelley ST, Knights D, Koester I, Kosciolek T, Kreps J, Langille MGI, Lee J, Ley R, Liu YX, Loftfield E, Lozupone C, Maher M, Marotz C, Martin BD, McDonald D, McIver LJ, Melnik AV, Metcalf JL, Morgan SC, Morton JT, Naimey AT, Navas-Molina JA, Nothias LF, Orchanian SB, Pearson T, Peoples SL, Petras D, Preuss ML, Pruesse E, Rasmussen LB, Rivers A, Robeson MS 2nd, Rosenthal P, Segata N, Shaffer M, Shiffer A, Sinha R, Song SJ, Spear JR, Swafford AD, Thompson LR, Torres PJ, Trinh P, Tripathi A, Turnbaugh PJ, Ul-Hasan S, van der Hooft JJJ, Vargas F, Vázquez-Baeza Y, Vogtmann E, von Hippel M, Walters W, Wan Y, Wang M, Warren J, Weber KC, Williamson CHD, Willis AD, Xu ZZ, Zaneveld JR, Zhang Y, Zhu Q, Knight R, Caporaso JG. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.. Nat Biotechnol 2019 Aug;37(8):852-857.
    doi: 10.1038/s41587-019-0209-9pmc: PMC7015180pubmed: 31341288google scholar: lookup
  18. Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads volume. EMBnet. J. 2011;1:10.
    doi: 10.14806/ej.17.1.200google scholar: lookup
  19. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP. DADA2: High-resolution sample inference from Illumina amplicon data.. Nat Methods 2016 Jul;13(7):581-3.
    doi: 10.1038/nmeth.3869pmc: PMC4927377pubmed: 27214047google scholar: lookup
  20. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability.. Mol Biol Evol 2013 Apr;30(4):772-80.
    doi: 10.1093/molbev/mst010pmc: PMC3603318pubmed: 23329690google scholar: lookup
  21. Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments.. PLoS One 2010 Mar 10;5(3):e9490.
  22. Faith D.P.. Conservation evaluation and phylogenetic diversity. Biol. Conserv. 1992;61:1–10.
  23. Pielou E.C.. The measurement of diversity in different types of biological collections. J. Theor. Biol. 1966;13:131–144.
  24. Lozupone C, Knight R. UniFrac: a new phylogenetic method for comparing microbial communities.. Appl Environ Microbiol 2005 Dec;71(12):8228-35.
  25. Lozupone CA, Hamady M, Kelley ST, Knight R. Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities.. Appl Environ Microbiol 2007 Mar;73(5):1576-85.
    doi: 10.1128/AEM.01996-06pmc: PMC1828774pubmed: 17220268google scholar: lookup
  26. Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O., Blondel M., Prettenhofer P., Weiss R., Dubourg V.. Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 2011;12:2825–2830.
  27. Robeson MS 2nd, O'Rourke DR, Kaehler BD, Ziemski M, Dillon MR, Foster JT, Bokulich NA. RESCRIPt: Reproducible sequence taxonomy reference database management.. PLoS Comput Biol 2021 Nov;17(11):e1009581.
  28. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.. Nucleic Acids Res 2013 Jan;41(Database issue):D590-6.
    doi: 10.1093/nar/gks1219pmc: PMC3531112pubmed: 23193283google scholar: lookup
  29. Tombak KJ, Budischak SA, Hauck S, Martinez LA, Rubenstein DI. The non-invasive measurement of faecal immunoglobulin in African equids.. Int J Parasitol Parasites Wildl 2020 Aug;12:105-112.
  30. Costa MC, Arroyo LG, Allen-Vercoe E, Stämpfli HR, Kim PT, Sturgeon A, Weese JS. Comparison of the fecal microbiota of healthy horses and horses with colitis by high throughput sequencing of the V3-V5 region of the 16S rRNA gene.. PLoS One 2012;7(7):e41484.
  31. Steelman SM, Chowdhary BP, Dowd S, Suchodolski J, Janečka JE. Pyrosequencing of 16S rRNA genes in fecal samples reveals high diversity of hindgut microflora in horses and potential links to chronic laminitis.. BMC Vet Res 2012 Nov 27;8:231.
    doi: 10.1186/1746-6148-8-231pmc: PMC3538718pubmed: 23186268google scholar: lookup
  32. Dougal K, Harris PA, Girdwood SE, Creevey CJ, Curtis GC, Barfoot CF, Argo CM, Newbold CJ. Changes in the Total Fecal Bacterial Population in Individual Horses Maintained on a Restricted Diet Over 6 Weeks.. Front Microbiol 2017;8:1502.
    doi: 10.3389/fmicb.2017.01502pmc: PMC5554519pubmed: 28848517google scholar: lookup
  33. Julliand V, de Vaux A, Millet L, Fonty G. Identification of Ruminococcus flavefaciens as the predominant cellulolytic bacterial species of the equine cecum.. Appl Environ Microbiol 1999 Aug;65(8):3738-41.
  34. Bunker JJ, Bendelac A. IgA Responses to Microbiota.. Immunity 2018 Aug 21;49(2):211-224.
  35. Wilmore JR, Gaudette BT, Gomez Atria D, Hashemi T, Jones DD, Gardner CA, Cole SD, Misic AM, Beiting DP, Allman D. Commensal Microbes Induce Serum IgA Responses that Protect against Polymicrobial Sepsis.. Cell Host Microbe 2018 Mar 14;23(3):302-311.e3.
    doi: 10.1016/j.chom.2018.01.005pmc: PMC6350773pubmed: 29478774google scholar: lookup
  36. Mirpuri J, Raetz M, Sturge CR, Wilhelm CL, Benson A, Savani RC, Hooper LV, Yarovinsky F. Proteobacteria-specific IgA regulates maturation of the intestinal microbiota.. Gut Microbes 2014 Jan-Feb;5(1):28-39.
    doi: 10.4161/gmic.26489pmc: PMC4049932pubmed: 24637807google scholar: lookup
  37. Di Rienzi SC, Sharon I, Wrighton KC, Koren O, Hug LA, Thomas BC, Goodrich JK, Bell JT, Spector TD, Banfield JF, Ley RE. The human gut and groundwater harbor non-photosynthetic bacteria belonging to a new candidate phylum sibling to Cyanobacteria.. Elife 2013 Oct 1;2:e01102.
    doi: 10.7554/eLife.01102pmc: PMC3787301pubmed: 24137540google scholar: lookup
  38. Barb JJ, Oler AJ, Kim HS, Chalmers N, Wallen GR, Cashion A, Munson PJ, Ames NJ. Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.. PLoS One 2016;11(2):e0148047.
  39. Roediger WE, Moore A. Effect of short-chaim fatty acid on sodium absorption in isolated human colon perfused through the vascular bed.. Dig Dis Sci 1981 Feb;26(2):100-6.
    doi: 10.1007/BF01312224pubmed: 7460712google scholar: lookup
  40. Paßlack N, Vahjen W, Zentek J. Impact of Dietary Cellobiose on the Fecal Microbiota of Horses.. J Equine Vet Sci 2020 Aug;91:103106.
    doi: 10.1016/j.jevs.2020.103106pubmed: 32684251google scholar: lookup
  41. Raspa F, Vervuert I, Capucchio MT, Colombino E, Bergero D, Forte C, Greppi M, Cavallarin L, Giribaldi M, Antoniazzi S, Cavallini D, Valvassori E, Valle E. A high-starch vs. high-fibre diet: effects on the gut environment of the different intestinal compartments of the horse digestive tract.. BMC Vet Res 2022 May 19;18(1):187.
    doi: 10.1186/s12917-022-03289-2pmc: PMC9118577pubmed: 35590319google scholar: lookup
  42. Nadeau JA, Andrews FM, Patton CS, Argenzio RA, Mathew AG, Saxton AM. Effects of hydrochloric, valeric, and other volatile fatty acids on pathogenesis of ulcers in the nonglandular portion of the stomach of horses.. Am J Vet Res 2003 Apr;64(4):413-7.
    doi: 10.2460/ajvr.2003.64.413pubmed: 12693529google scholar: lookup
  43. Forbes JD, Van Domselaar G, Bernstein CN. The Gut Microbiota in Immune-Mediated Inflammatory Diseases.. Front Microbiol 2016;7:1081.
    doi: 10.3389/fmicb.2016.01081pmc: PMC4939298pubmed: 27462309google scholar: lookup
  44. Mach N, Foury A, Kittelmann S, Reigner F, Moroldo M, Ballester M, Esquerré D, Rivière J, Sallé G, Gérard P, Moisan MP, Lansade L. The Effects of Weaning Methods on Gut Microbiota Composition and Horse Physiology.. Front Physiol 2017;8:535.
    doi: 10.3389/fphys.2017.00535pmc: PMC5524898pubmed: 28790932google scholar: lookup
  45. Lee SC, Tang MS, Lim YA, Choy SH, Kurtz ZD, Cox LM, Gundra UM, Cho I, Bonneau R, Blaser MJ, Chua KH, Loke P. Helminth colonization is associated with increased diversity of the gut microbiota.. PLoS Negl Trop Dis 2014 May;8(5):e2880.
  46. Broadhurst MJ, Ardeshir A, Kanwar B, Mirpuri J, Gundra UM, Leung JM, Wiens KE, Vujkovic-Cvijin I, Kim CC, Yarovinsky F, Lerche NW, McCune JM, Loke P. Therapeutic helminth infection of macaques with idiopathic chronic diarrhea alters the inflammatory signature and mucosal microbiota of the colon.. PLoS Pathog 2012;8(11):e1003000.
  47. Peachey LE, Molena RA, Jenkins TP, Di Cesare A, Traversa D, Hodgkinson JE, Cantacessi C. The relationships between faecal egg counts and gut microbial composition in UK Thoroughbreds infected by cyathostomins.. Int J Parasitol 2018 May;48(6):403-412.
  48. Walshe N, Duggan V, Cabrera-Rubio R, Crispie F, Cotter P, Feehan O, Mulcahy G. Removal of adult cyathostomins alters faecal microbiota and promotes an inflammatory phenotype in horses.. Int J Parasitol 2019 May;49(6):489-500.
    doi: 10.1016/j.ijpara.2019.02.003pubmed: 30986403google scholar: lookup
  49. Daniels SP, Leng J, Swann JR, Proudman CJ. Bugs and drugs: a systems biology approach to characterising the effect of moxidectin on the horse's faecal microbiome.. Anim Microbiome 2020 Oct 14;2(1):38.
    doi: 10.1186/s42523-020-00056-2pmc: PMC7807906pubmed: 33499996google scholar: lookup
  50. Clark A, Sallé G, Ballan V, Reigner F, Meynadier A, Cortet J, Koch C, Riou M, Blanchard A, Mach N. Strongyle Infection and Gut Microbiota: Profiling of Resistant and Susceptible Horses Over a Grazing Season.. Front Physiol 2018;9:272.
    doi: 10.3389/fphys.2018.00272pmc: PMC5871743pubmed: 29618989google scholar: lookup

Citations

This article has been cited 5 times.
  1. Żak-Bochenek A, Drábková Z, Sergedaite V, Siwińska N, Bajzert J, Pasak D, Chełmońska-Soyta A. Fecal Secretory Immunoglobulin A and Lactate Level as a Biomarker of Mucosal Immune Dysfunction in Horses With Colic. J Vet Intern Med 2025 May-Jun;39(3):e70073.
    doi: 10.1111/jvim.70073pubmed: 40145309google scholar: lookup
  2. Żak-Bochenek A, Żebrowska-Różańska P, Bajzert J, Łaczmański Ł, Szponar B, Siwińska N, Gładysz K, Sikorska K, Chełmońska-Soyta A. Investigating the potential immunomodulatory effects of commercial oral probiotic supplements on equine gastrointestinal tract barrier function. Front Immunol 2024;15:1487664.
    doi: 10.3389/fimmu.2024.1487664pubmed: 39906737google scholar: lookup
  3. Żak-Bochenek A, Żebrowska-Różańska P, Bajzert J, Siwińska N, Madej JP, Kaleta-Kuratewicz K, Bochen P, Łaczmański Ł, Chełmońska-Soyta A. Comparison and characterization of the bacterial microbiota and SIgA production in different gastrointestinal segments in horses. Vet Res Commun 2024 Dec;48(6):3605-3620.
    doi: 10.1007/s11259-024-10489-8pubmed: 39180603google scholar: lookup
  4. Kawaida MY, Maas KR, Moore TE, Reiter AS, Tillquist NM, Reed SA. Effects of astaxanthin on gut microbiota of polo ponies during deconditioning and reconditioning periods. Physiol Rep 2024 Jun;12(11):e16051.
    doi: 10.14814/phy2.16051pubmed: 38811348google scholar: lookup
  5. Carrillo Heredero AM, Sabbioni A, Asti V, Ablondi M, Summer A, Bertini S. Fecal microbiota characterization of an Italian local horse breed. Front Vet Sci 2024;11:1236476.
    doi: 10.3389/fvets.2024.1236476pubmed: 38425839google scholar: lookup