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Home / Equine Research Bank / Front Immunol / Integrated multi-omics reveals novel microbe-host lipid meta...
Frontiers in immunology2022; 13; 1003247; doi: 10.3389/fimmu.2022.1003247

Integrated multi-omics reveals novel microbe-host lipid metabolism and immune interactions in the donkey hindgut.

Abstract: Evidence has shown that gut microbiota play a key role in host metabolism and health; however, little is known about the microbial community in the donkey hindgut as well as the interactions that occur between gut microbes and the host. This study aimed to explore the gut microbiome differences by analyzing the microbial community and differentially expressed genes (DEGs) related to lipid metabolism and the immune system along the donkey hindgut. The hindgut tissues (cecum, ventral colon, and dorsal colon) were separated, and the contents of each section were collected from six male donkeys for multi-omics analysis. There were significant differences in terms of dominant bacteria among the three sections, especially between the cecum and dorsal colon sites. For instance, species belonging to and were most abundant in the cecum, while the , , , etc., were more abundant in the dorsal colon. Apart from propionate, the concentrations of acetate, isobutyrate, valerate and isovalerate were all lower in the cecum than in the dorsal colon (p < 0.05). Furthermore, we identified some interesting DEGs related to lipid metabolism (e.g., , , , and ) and the immune system (e.g., , mucin-2-like, , , , , and ) between the cecum and dorsal colon and found that the PPAR pathway was mainly enriched in the cecum. Finally, we found a complex relationship between the gut microbiome and gene expression, especially with respect to the immune system, and combined with protein-protein interaction (PPI) data, suggesting that the PPAR pathway might be responsible, at least in part, for the role of the hindgut microbiota in the donkeys' gut homeostasis. Our data provide an in-depth understanding of the interaction between the microbiota and function in the healthy equine hindgut and may also provide guidance for improving animal performance metrics (such as product quality) and equine welfare.
Copyright © 2022 Li, Ma, Shi, Liu and Wang.
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Publication Date: 2022-11-18 PubMed ID: 36466834PubMed Central: PMC9716284DOI: 10.3389/fimmu.2022.1003247Google Scholar: Lookup
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  • Journal Article
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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.

This study investigates the microbiome in the digestive system of donkeys, more specifically, it focuses on the hindgut. Researchers conducted an in-depth examination of the hindgut, looking at the differences in the microbial community and gene expression related to lipid metabolism and the immune system among its different sections. This study also revealed how the gut microbiome influences host metabolism and immunity in donkeys.

Research Methodology

  • The researchers obtained hindgut tissues (cecum, ventral colon, and dorsal colon) from six male donkeys. The contents of each of these sections were harvested for a comprehensive multi-omics analysis.
  • The donkeys’ gut microbiome was examined, revealing significant differences in the dominant bacterial species among the three sections.
  • Differentially Expressed Genes (DEGs) related to lipid metabolism and immune system interactions were identified.

Key Findings

  • There were noticeable variations in the dominant bacteria at the cecum, ventral colon, and dorsal colon sites of the donkeys’ hindgut.
  • Concentrations of certain substances known as short-chain fatty acids (including acetate, isobutyrate, valerate, and isovalerate) were lower in the cecum than in the dorsal colon. These substances are important for various biological aspects such as energy production and regulation of immune response.
  • They noted an interesting differential gene expression affecting lipid metabolism and the immune system in between the cecum and dorsal colon, implying a distinct function and microbe-host interaction within these regions of the hindgut.
  • The PPAR pathway, a group of genes involved in lipid metabolism and inflammation response, was significantly active in the cecum.

Implications and Conclusions

  • The research highlighted a complex relationship between the gut microbiome and gene expression in donkeys, particularly related to the immune system.
  • Findings from the study suggest that the PPAR pathway plays a significant role in the hindgut microbiota’s influence on gut homeostasis in donkeys.
  • The insights gained from this study contribute to a more substantial understanding of the interplay between gut microbiota and their key functions in the healthy equine hindgut, which has potential applications for improving animal performance metrics and welfare in equines.

Cite This Article

APA
Li Y, Ma Q, Shi X, Liu G, Wang C. (2022). Integrated multi-omics reveals novel microbe-host lipid metabolism and immune interactions in the donkey hindgut. Front Immunol, 13, 1003247. https://doi.org/10.3389/fimmu.2022.1003247

Publication

Frontiers in immunology
ISSN: 1664-3224
NlmUniqueID: 101560960
Country: Switzerland
Language: English
Volume: 13
Pages: 1003247
PII: 1003247

Researcher Affiliations

Li, Yan
  • Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, College of Agronomy, Liaocheng University, Liaocheng, China.
Ma, Qingshan
  • Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, College of Agronomy, Liaocheng University, Liaocheng, China.
Shi, Xiaoyuan
  • Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, College of Agronomy, Liaocheng University, Liaocheng, China.
Liu, Guiqin
  • Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, College of Agronomy, Liaocheng University, Liaocheng, China.
Wang, Changfa
  • Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, College of Agronomy, Liaocheng University, Liaocheng, China.

MeSH Terms

  • Male
  • Horses
  • Animals
  • Lipid Metabolism
  • Equidae
  • Peroxisome Proliferator-Activated Receptors
  • Cecum
  • Colon
  • Gastropoda
  • Coleoptera

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

This article includes 67 references
  1. Liu G, Bou G, Su S, Xing J, Qu H, Zhang X, Wang X, Zhao Y, Dugarjaviin M. Microbial diversity within the digestive tract contents of Dezhou donkeys.. PLoS One 2019;14(12):e0226186.
    doi: 10.1371/journal.pone.0226186pmc: PMC6910686pubmed: 31834903google scholar: lookup
  2. Murru F, Fliegerova K, Mura E, Mrázek J, Kopečný J, Moniello G. A comparison of methanogens of different regions of the equine hindgut.. Anaerobe 2018 Dec;54:104-110.
    doi: 10.1016/j.anaerobe.2018.08.009pubmed: 30142409google scholar: lookup
  3. 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.
    doi: 10.1371/journal.pone.0041484pmc: PMC3409227pubmed: 22859989google scholar: lookup
  4. Sanz-Fernandez MV, Daniel JB, Seymour DJ, Kvidera SK, Bester Z, Doelman J, Martín-Tereso J. Targeting the Hindgut to Improve Health and Performance in Cattle.. Animals (Basel) 2020 Oct 6;10(10).
    doi: 10.3390/ani10101817pmc: PMC7600859pubmed: 33036177google scholar: lookup
  5. Venable EB, Fenton KA, Braner VM, Reddington CE, Halpin MJ, Heitz SA. Effects of feeding management on the equine cecal microbiota. J Equine Vet Sci 2017 49:113–21.
    doi: 10.1016/j.jevs.2016.09.010google scholar: lookup
  6. Julliand V, Grimm P. The impact of diet on the hindgut microbiome. J Equine Vet Sci 2017 52:23–8.
    doi: 10.1016/j.jevs.2017.03.002google scholar: lookup
  7. Tuniyazi M, He J, Guo J, Li S, Zhang N, Hu X, Fu Y. Changes of microbial and metabolome of the equine hindgut during oligofructose-induced laminitis.. BMC Vet Res 2021 Jan 6;17(1):11.
    doi: 10.1186/s12917-020-02686-9pmc: PMC7789226pubmed: 33407409google scholar: lookup
  8. Arroyo LG, Rossi L, Santos BP, Gomez DE, Surette MG, Costa MC. Luminal and Mucosal Microbiota of the Cecum and Large Colon of Healthy and Diarrheic Horses.. Animals (Basel) 2020 Aug 12;10(8).
    doi: 10.3390/ani10081403pmc: PMC7460328pubmed: 32806591google scholar: lookup
  9. Park T, Yoon J, Kim A, Unno T, Yun Y. Comparison of the Gut Microbiota of Jeju and Thoroughbred Horses in Korea.. Vet Sci 2021 May 11;8(5).
    doi: 10.3390/vetsci8050081pmc: PMC8151153pubmed: 34064714google scholar: lookup
  10. Xing J, Liu G, Zhang X, Bai D, Yu J, Li L, Wang X, Su S, Zhao Y, Bou G, Dugarjaviin M. The Composition and Predictive Function of the Fecal Microbiota Differ Between Young and Adult Donkeys.. Front Microbiol 2020;11:596394.
    doi: 10.3389/fmicb.2020.596394pmc: PMC7744375pubmed: 33343537google scholar: lookup
  11. Mazumdar-Leighton S, Choudhary VK. Metagenomics at grass roots. Resonance 2017 22(3):291–301.
    doi: 10.1007/s12045-017-0461-6google scholar: lookup
  12. Schroeder BO, Bäckhed F. Signals from the gut microbiota to distant organs in physiology and disease.. Nat Med 2016 Oct;22(10):1079-1089.
    doi: 10.1038/nm.4185pubmed: 27711063google scholar: lookup
  13. Schirmer M, Smeekens SP, Vlamakis H, Jaeger M, Oosting M, Franzosa EA, Horst RT, Jansen T, Jacobs L, Bonder MJ, Kurilshikov A, Fu J, Joosten LAB, Zhernakova A, Huttenhower C, Wijmenga C, Netea MG, Xavier RJ. Linking the Human Gut Microbiome to Inflammatory Cytokine Production Capacity.. Cell 2016 Dec 15;167(7):1897.
    doi: 10.1016/j.cell.2016.11.046pubmed: 27984736google scholar: lookup
  14. Bergman EN. Energy contributions of volatile fatty acids from the gastrointestinal tract in various species.. Physiol Rev 1990 Apr;70(2):567-90.
    doi: 10.1152/physrev.1990.70.2.567pubmed: 2181501google scholar: lookup
  15. Reichardt N, Duncan SH, Young P, Belenguer A, McWilliam Leitch C, Scott KP, Flint HJ, Louis P. Phylogenetic distribution of three pathways for propionate production within the human gut microbiota.. ISME J 2014 Jun;8(6):1323-35.
    doi: 10.1038/ismej.2014.14pmc: PMC4030238pubmed: 24553467google scholar: lookup
  16. Li M, Zhang D, Chai W, Zhu M, Wang Y, Liu Y. Chemical and physical properties of meat from dezhou black donkey. Food Sci Technol Res 2022 28(1):87–94.
    doi: 10.3136/fstr.FSTR-D-21-00149google scholar: lookup
  17. nMadhusudan N, Ramachandra CT, Nidoni U, Sharnagouda H, Nagraj N, Jagjivan R. Composition, characteristics, nutritional value and health benefits of donkey milk-a review. Dairy Sci Technol 2017.
  18. Kurashima Y, Goto Y, Kiyono H. Mucosal innate immune cells regulate both gut homeostasis and intestinal inflammation.. Eur J Immunol 2013 Dec;43(12):3108-15.
    doi: 10.1002/eji.201343782pubmed: 24414823google scholar: lookup
  19. Brown EM, Sadarangani M, Finlay BB. The role of the immune system in governing host-microbe interactions in the intestine.. Nat Immunol 2013 Jul;14(7):660-7.
    doi: 10.1038/ni.2611pubmed: 23778793google scholar: lookup
  20. Becattini S, Sorbara MT, Kim SG, Littmann EL, Dong Q, Walsh G, Wright R, Amoretti L, Fontana E, Hohl TM, Pamer EG. Rapid transcriptional and metabolic adaptation of intestinal microbes to host immune activation.. Cell Host Microbe 2021 Mar 10;29(3):378-393.e5.
    doi: 10.1016/j.chom.2021.01.003pmc: PMC7954923pubmed: 33539766google scholar: lookup
  21. O'Hara E, Neves ALA, Song Y, Guan LL. The Role of the Gut Microbiome in Cattle Production and Health: Driver or Passenger?. Annu Rev Anim Biosci 2020 Feb 15;8:199-220.
    doi: 10.1146/annurev-animal-021419-083952pubmed: 32069435google scholar: lookup
  22. van der Post S, Hansson GC. Membrane protein profiling of human colon reveals distinct regional differences.. Mol Cell Proteomics 2014 Sep;13(9):2277-87.
    doi: 10.1074/mcp.M114.040204pmc: PMC4159649pubmed: 24889196google scholar: lookup
  23. Bergstrom K, Shan X, Casero D, Batushansky A, Lagishetty V, Jacobs JP, Hoover C, Kondo Y, Shao B, Gao L, Zandberg W, Noyovitz B, McDaniel JM, Gibson DL, Pakpour S, Kazemian N, McGee S, Houchen CW, Rao CV, Griffin TM, Sonnenburg JL, McEver RP, Braun J, Xia L. Proximal colon-derived O-glycosylated mucus encapsulates and modulates the microbiota.. Science 2020 Oct 23;370(6515):467-472.
    doi: 10.1126/science.aay7367pmc: PMC8132455pubmed: 33093110google scholar: lookup
  24. Reed KJ, Kunz IGZ, Scare JA, Nielsen MK, Turk PJ, Coleman RJ, Coleman SJ. The pelvic flexure separates distinct microbial communities in the equine hindgut.. Sci Rep 2021 Feb 22;11(1):4332.
    doi: 10.1038/s41598-021-83783-zpmc: PMC7900177pubmed: 33619300google scholar: lookup
  25. Zhang Z, Wang Y, Huang B, Zhu M, Wang C. The Fibrolytic Enzyme Profiles and the Composition of Fungal Communities in Donkey Cecum-Colon Ecosystem.. Animals (Basel) 2022 Feb 9;12(4).
    doi: 10.3390/ani12040412pmc: PMC8868365pubmed: 35203120google scholar: lookup
  26. Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor.. Bioinformatics 2018 Sep 1;34(17):i884-i890.
    doi: 10.1093/bioinformatics/bty560pmc: PMC6129281pubmed: 30423086google scholar: lookup
  27. Li D, Liu CM, Luo R, Sadakane K, Lam TW. MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph.. Bioinformatics 2015 May 15;31(10):1674-6.
    doi: 10.1093/bioinformatics/btv033pubmed: 25609793google scholar: lookup
  28. Fu L, Niu B, Zhu Z, Wu S, Li W. CD-HIT: accelerated for clustering the next-generation sequencing data.. Bioinformatics 2012 Dec 1;28(23):3150-2.
    doi: 10.1093/bioinformatics/bts565pmc: PMC3516142pubmed: 23060610google scholar: lookup
  29. Zhan M, Wang L, Xie C, Fu X, Zhang S, Wang A, Zhou Y, Xu C, Zhang H. Succession of Gut Microbial Structure in Twin Giant Pandas During the Dietary Change Stage and Its Role in Polysaccharide Metabolism.. Front Microbiol 2020;11:551038.
    doi: 10.3389/fmicb.2020.551038pmc: PMC7537565pubmed: 33072012google scholar: lookup
  30. Li B, Dewey CN. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.. BMC Bioinformatics 2011 Aug 4;12:323.
    doi: 10.1186/1471-2105-12-323pmc: PMC3163565pubmed: 21816040google scholar: lookup
  31. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.. Genome Biol 2014;15(12):550.
    doi: 10.1186/s13059-014-0550-8pmc: PMC4302049pubmed: 25516281google scholar: lookup
  32. James KR, Gomes T, Elmentaite R, Kumar N, Gulliver EL, King HW, Stares MD, Bareham BR, Ferdinand JR, Petrova VN, Polański K, Forster SC, Jarvis LB, Suchanek O, Howlett S, James LK, Jones JL, Meyer KB, Clatworthy MR, Saeb-Parsy K, Lawley TD, Teichmann SA. Distinct microbial and immune niches of the human colon.. Nat Immunol 2020 Mar;21(3):343-353.
    doi: 10.1038/s41590-020-0602-zpmc: PMC7212050pubmed: 32066951google scholar: lookup
  33. Su S, Zhao Y, Liu Z, Liu G, Du M, Wu J, Bai D, Li B, Bou G, Zhang X, Dugarjaviin M. Characterization and comparison of the bacterial microbiota in different gastrointestinal tract compartments of Mongolian horses.. Microbiologyopen 2020 Jun;9(6):1085-1101.
    doi: 10.1002/mbo3.1020pmc: PMC7294312pubmed: 32153142google scholar: lookup
  34. Zhang L, Wu W, Lee YK, Xie J, Zhang H. Spatial Heterogeneity and Co-occurrence of Mucosal and Luminal Microbiome across Swine Intestinal Tract.. Front Microbiol 2018;9:48.
    doi: 10.3389/fmicb.2018.00048pmc: PMC5810300pubmed: 29472900google scholar: lookup
  35. Dougal K, de la Fuente G, Harris PA, Girdwood SE, Pinloche E, Newbold CJ. Identification of a core bacterial community within the large intestine of the horse.. PLoS One 2013;8(10):e77660.
    doi: 10.1371/journal.pone.0077660pmc: PMC3812009pubmed: 24204908google scholar: lookup
  36. Kovatcheva-Datchary P, Nilsson A, Akrami R, Lee YS, De Vadder F, Arora T, Hallen A, Martens E, Björck I, Bäckhed F. Dietary Fiber-Induced Improvement in Glucose Metabolism Is Associated with Increased Abundance of Prevotella.. Cell Metab 2015 Dec 1;22(6):971-82.
    doi: 10.1016/j.cmet.2015.10.001pubmed: 26552345google scholar: lookup
  37. Chen C, Fang S, Wei H, He M, Fu H, Xiong X, Zhou Y, Wu J, Gao J, Yang H, Huang L. Prevotella copri increases fat accumulation in pigs fed with formula diets.. Microbiome 2021 Aug 21;9(1):175.
    doi: 10.1186/s40168-021-01110-0pmc: PMC8380364pubmed: 34419147google scholar: lookup
  38. Ley RE. Gut microbiota in 2015: Prevotella in the gut: choose carefully.. Nat Rev Gastroenterol Hepatol 2016 Feb;13(2):69-70.
    doi: 10.1038/nrgastro.2016.4pubmed: 26828918google scholar: lookup
  39. Amat S, Lantz H, Munyaka PM, Willing BP. Prevotella in Pigs: The Positive and Negative Associations with Production and Health.. Microorganisms 2020 Oct 14;8(10).
    doi: 10.3390/microorganisms8101584pmc: PMC7602465pubmed: 33066697google scholar: lookup
  40. Ramayo-Caldas Y, Mach N, Lepage P, Levenez F, Denis C, Lemonnier G, Leplat JJ, Billon Y, Berri M, Doré J, Rogel-Gaillard C, Estellé J. Phylogenetic network analysis applied to pig gut microbiota identifies an ecosystem structure linked with growth traits.. ISME J 2016 Dec;10(12):2973-2977.
    doi: 10.1038/ismej.2016.77pmc: PMC5148198pubmed: 27177190google scholar: lookup
  41. Tokuda G, Mikaelyan A, Fukui C, Matsuura Y, Watanabe H, Fujishima M, Brune A. Fiber-associated spirochetes are major agents of hemicellulose degradation in the hindgut of wood-feeding higher termites.. Proc Natl Acad Sci U S A 2018 Dec 18;115(51):E11996-E12004.
    doi: 10.1073/pnas.1810550115pmc: PMC6304966pubmed: 30504145google scholar: lookup
  42. Quan J, Wu Z, Ye Y, Peng L, Wu J, Ruan D, Qiu Y, Ding R, Wang X, Zheng E, Cai G, Huang W, Yang J. Metagenomic Characterization of Intestinal Regions in Pigs With Contrasting Feed Efficiency.. Front Microbiol 2020;11:32.
    doi: 10.3389/fmicb.2020.00032pmc: PMC6989599pubmed: 32038603google scholar: lookup
  43. Flint HJ, Bayer EA, Rincon MT, Lamed R, White BA. Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis.. Nat Rev Microbiol 2008 Feb;6(2):121-31.
    doi: 10.1038/nrmicro1817pubmed: 18180751google scholar: lookup
  44. Guo P, Zhang K, Ma X, He P. Clostridium species as probiotics: potentials and challenges.. J Anim Sci Biotechnol 2020;11:24.
    doi: 10.1186/s40104-019-0402-1pmc: PMC7031906pubmed: 32099648google scholar: lookup
  45. Macfarlane GT, Macfarlane S. Bacteria, colonic fermentation, and gastrointestinal health.. J AOAC Int 2012 Jan-Feb;95(1):50-60.
    doi: 10.5740/jaoacint.sge_macfarlanepubmed: 22468341google scholar: lookup
  46. Davila AM, Blachier F, Gotteland M, Andriamihaja M, Benetti PH, Sanz Y, Tomé D. Intestinal luminal nitrogen metabolism: role of the gut microbiota and consequences for the host.. Pharmacol Res 2013 Feb;68(1):95-107.
    doi: 10.1016/j.phrs.2012.11.005pubmed: 23183532google scholar: lookup
  47. Ma N, Tian Y, Wu Y, Ma X. Contributions of the Interaction Between Dietary Protein and Gut Microbiota to Intestinal Health.. Curr Protein Pept Sci 2017;18(8):795-808.
    doi: 10.2174/1389203718666170216153505pubmed: 28215168google scholar: lookup
  48. Wang C, Qiang L, Guo G, Huo W, Wang Y, Zhang Y. Effects of fibrolytic enzymes and isobutyrate on ruminal fermentation, microbial enzyme activity and cellulolytic bacteria in pre- and post-weaning dairy calves. Anim Prod Sci 2018 59:471–8.
    doi: 10.1071/AN17270google scholar: lookup
  49. Wirth R, Kádár G, Kakuk B, Maróti G, Bagi Z, Szilágyi Á, Rákhely G, Horváth J, Kovács KL. The Planktonic Core Microbiome and Core Functions in the Cattle Rumen by Next Generation Sequencing.. Front Microbiol 2018;9:2285.
    doi: 10.3389/fmicb.2018.02285pmc: PMC6165872pubmed: 30319585google scholar: lookup
  50. Hong F, Pan S, Guo Y, Xu P, Zhai Y. PPARs as Nuclear Receptors for Nutrient and Energy Metabolism.. Molecules 2019 Jul 12;24(14).
    doi: 10.3390/molecules24142545pmc: PMC6680900pubmed: 31336903google scholar: lookup
  51. Chao T, Wang G, Ji Z, Liu Z, Hou L, Wang J, Wang J. Transcriptome Analysis of Three Sheep Intestinal Regions reveals Key Pathways and Hub Regulatory Genes of Large Intestinal Lipid Metabolism.. Sci Rep 2017 Jul 13;7(1):5345.
    doi: 10.1038/s41598-017-05551-2pmc: PMC5509726pubmed: 28706214google scholar: lookup
  52. Dixon RM, Nolan JV. Studies of the large intestine of sheep. 1. Fermentation and absorption in sections of the large intestine.. Br J Nutr 1982 Mar;47(2):289-300.
    doi: 10.1079/BJN19820038pubmed: 7066290google scholar: lookup
  53. Donaldson GP, Lee SM, Mazmanian SK. Gut biogeography of the bacterial microbiota.. Nat Rev Microbiol 2016 Jan;14(1):20-32.
    doi: 10.1038/nrmicro3552pmc: PMC4837114pubmed: 26499895google scholar: lookup
  54. Cahenzli J, Balmer ML, McCoy KD. Microbial-immune cross-talk and regulation of the immune system.. Immunology 2013 Jan;138(1):12-22.
    doi: 10.1111/j.1365-2567.2012.03624.xpmc: PMC3533697pubmed: 22804726google scholar: lookup
  55. Sicard JF, Le Bihan G, Vogeleer P, Jacques M, Harel J. Interactions of Intestinal Bacteria with Components of the Intestinal Mucus.. Front Cell Infect Microbiol 2017;7:387.
    doi: 10.3389/fcimb.2017.00387pmc: PMC5591952pubmed: 28929087google scholar: lookup
  56. Aviello G, Knaus UG. NADPH oxidases and ROS signaling in the gastrointestinal tract.. Mucosal Immunol 2018 Jul;11(4):1011-1023.
    doi: 10.1038/s41385-018-0021-8pubmed: 29743611google scholar: lookup
  57. Blau S, Rubinstein A, Bass P, Singaram C, Kohen R. Differences in the reducing power along the rat GI tract: lower antioxidant capacity of the colon.. Mol Cell Biochem 1999 Apr;194(1-2):185-91.
    doi: 10.1023/a:1006994800272pubmed: 10391139google scholar: lookup
  58. Chen K, Yoshimura T, Yao X, Gong W, Huang J, Dzutsev AK, McCulloch J, O'hUigin C, Bian XW, Trinchieri G, Wang JM. Distinct contributions of cathelin-related antimicrobial peptide (CRAMP) derived from epithelial cells and macrophages to colon mucosal homeostasis.. J Pathol 2021 Mar;253(3):339-350.
    doi: 10.1002/path.5572pmc: PMC7898386pubmed: 33104252google scholar: lookup
  59. Stražar M, Temba GS, Vlamakis H, Kullaya VI, Lyamuya F, Mmbaga BT, Joosten LAB, van der Ven AJAM, Netea MG, de Mast Q, Xavier RJ. Gut microbiome-mediated metabolism effects on immunity in rural and urban African populations.. Nat Commun 2021 Aug 11;12(1):4845.
    doi: 10.1038/s41467-021-25213-2pmc: PMC8357928pubmed: 34381036google scholar: lookup
  60. Lindenberg F, Krych L, Fielden J, Kot W, Frøkiær H, van Galen G, Nielsen DS, Hansen AK. Expression of immune regulatory genes correlate with the abundance of specific Clostridiales and Verrucomicrobia species in the equine ileum and cecum.. Sci Rep 2019 Sep 3;9(1):12674.
    doi: 10.1038/s41598-019-49081-5pmc: PMC6722064pubmed: 31481726google scholar: lookup
  61. Huang Y, Tang J, Cai Z, Zhou K, Chang L, Bai Y, Ma Y. Prevotella Induces the Production of Th17 Cells in the Colon of Mice.. J Immunol Res 2020;2020:9607328.
    doi: 10.1155/2020/9607328pmc: PMC7657696pubmed: 33204736google scholar: lookup
  62. Omenetti S, Bussi C, Metidji A, Iseppon A, Lee S, Tolaini M, Li Y, Kelly G, Chakravarty P, Shoaie S, Gutierrez MG, Stockinger B. The Intestine Harbors Functionally Distinct Homeostatic Tissue-Resident and Inflammatory Th17 Cells.. Immunity 2019 Jul 16;51(1):77-89.e6.
    doi: 10.1016/j.immuni.2019.05.004pmc: PMC6642154pubmed: 31229354google scholar: lookup
  63. Fu W, Cheng Y, Zhang Y, Mo X, Li T, Liu Y, Wang P, Pan W, Chen Y, Xue Y, Ma D, Zhang Y, Han W. The Secreted Form of Transmembrane Protein 98 Promotes the Differentiation of T Helper 1 Cells.. J Interferon Cytokine Res 2015 Sep;35(9):720-33.
    doi: 10.1089/jir.2014.0110pmc: PMC4560856pubmed: 25946230google scholar: lookup
  64. Eissmann MF, Buchert M, Ernst M. IL33 and Mast Cells-The Key Regulators of Immune Responses in Gastrointestinal Cancers?. Front Immunol 2020;11:1389.
    doi: 10.3389/fimmu.2020.01389pmc: PMC7350537pubmed: 32719677google scholar: lookup
  65. Belkaid Y, Hand TW. Role of the microbiota in immunity and inflammation.. Cell 2014 Mar 27;157(1):121-41.
    doi: 10.1016/j.cell.2014.03.011pmc: PMC4056765pubmed: 24679531google scholar: lookup
  66. Wang Y, Spatz M, Da Costa G, Michaudel C, Lapiere A, Danne C, Agus A, Michel ML, Netea MG, Langella P, Sokol H, Richard ML. Deletion of both Dectin-1 and Dectin-2 affects the bacterial but not fungal gut microbiota and susceptibility to colitis in mice.. Microbiome 2022 Jun 14;10(1):91.
    doi: 10.1186/s40168-022-01273-4pmc: PMC9195441pubmed: 35698210google scholar: lookup
  67. Li D, Feng Y, Tian M, Ji J, Hu X, Chen F. Gut microbiota-derived inosine from dietary barley leaf supplementation attenuates colitis through PPARγ signaling activation.. Microbiome 2021 Apr 5;9(1):83.
    doi: 10.1186/s40168-021-01028-7pmc: PMC8022418pubmed: 33820558google scholar: lookup

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