Korean Journal of Veterinary Research (대한수의학회지)

The Korean Society of Veterinary Science (대한수의학회)
권호 표지
DOI QR코드

DOI QR Code

Fecal microbiota analysis of obese dogs with underlying diseases: a pilot study

  • Park, Hyung Jin (College of Veterinary Medicine, Chungnam National University) ;
  • Lee, Sang Eun (Division of Malaria and Parasitic Diseases, Korea National Institute of Health, Korea Centers for Disease Control and Prevention) ;
  • Kim, Hyeun Bum (Department of Animal Resources Science, Dankook University) ;
  • Kim, Jae Hoon (College of Veterinary Medicine, Chungnam National University) ;
  • Seo, Kyoung Won (College of Veterinary Medicine, Chungnam National University) ;
  • Song, Kun Ho (College of Veterinary Medicine, Chungnam National University)
  • Received : 2015.02.27
  • Accepted : 2015.06.15
  • Published : 2015.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Ten dogs were enrolled in this study: two healthy dogs, two obese dogs without other medical issues and six obese dogs with underlying diseases including pemphigus, chronic active hepatitis, hyperadrenocorticism, narcolepsy, otitis media and heartworm infection. Pyrosequencing of the 16S rRNA gene to explore the gut bacterial diversity revealed that distal gut bacterial communities of samples from patients with pemphigus, otitis media and narcolepsy consisted primarily of Firmicutes, while the major phylum of the distal gut bacterial communities in patients with chronic active hepatitis and hyperadrenocorticism was Fusobacteria. Proteobacteria were the dominant phylum in heartworm infected obese patients.

Keywords

References

  1. Backhed F, Ding H, Wang T, Hooper LV, Koh GY, Nagy A, Semenkovich CF, Gordon JI. The gut microbiota as an environmental factor that regulates fat storage. Proc Natl Acad Sci U S A 2004, 101, 15718-15723. https://doi.org/10.1073/pnas.0407076101
  2. Balamurugan R, George G, Kabeerdoss J, Hepsiba J, Chandragunasekaran AM, Ramakrishna BS. Quantitative differences in intestinal Faecalibacterium prausnitzii in obese Indian children. Br J Nutr 2010, 103, 335-338. https://doi.org/10.1017/S0007114509992182
  3. Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica D, Neyrinck AM, Fava F, Tuohy KM, Chabo C, Waget A, Delmee E, Cousin B, Sulpice T, Chamontin B, Ferrieres J, Tanti JF, Gibson GR, Casteilla L, Delzenne NM, Alessi MC, Burcelin R. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 2007, 56, 1761-1772. https://doi.org/10.2337/db06-1491
  4. Fu L, Niu B, Zhu Z, Wu S, Li W. CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 2012, 28, 3150-3152. https://doi.org/10.1093/bioinformatics/bts565
  5. Handelsman J, Rondon MR, Brady SF, Clardy J, Goodman RM. Molecular biological access to the chemistry of unknown soil microbes: a new frontier for natural products. Chem Biol 1998, 5, R245-249. https://doi.org/10.1016/S1074-5521(98)90108-9
  6. Jost L. Entropy and diversity. Oikos 2006, 113, 363-375. https://doi.org/10.1111/j.2006.0030-1299.14714.x
  7. Kang CS, Ban M, Choi EJ, Moon HG, Jeon JS, Kim DK, Park SK, Jeon SG, Roh TY, Myung SJ, Gho YS, Kim JG, Kim YK. Extracellular vesicles derived from gut microbiota, especially Akkermansia muciniphila, protect the progression of dextran sulfate sodium-induced colitis. PLoS One 2013, 8, e76520. https://doi.org/10.1371/journal.pone.0076520
  8. Laflamme D. Development and validation of a body condition score system for dogs. Canine Pract 1997, 22, 10-15.
  9. Ley RE, Backhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci U S A 2005, 102, 11070-11075. https://doi.org/10.1073/pnas.0504978102
  10. Ley RE, Hamady M, Lozupone C, Turnbaugh PJ, Ramey RR, Bircher JS, Schlegel ML, Tucker TA, Schrenzel MD, Knight R, Gordon JI. Evolution of mammals and their gut microbes. Science 2008, 320, 1647-1651. https://doi.org/10.1126/science.1155725
  11. Park JS, Seo JH, Youn HS. Gut microbiota and clinical disease: obesity and nonalcoholic fatty liver disease. Pediatr Gastroenterol Hepatol Nutr 2013, 16, 22-27. https://doi.org/10.5223/pghn.2013.16.1.22
  12. 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, 41, D590-596. https://doi.org/10.1093/nar/gks1219
  13. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 2009, 75, 7537-7541. https://doi.org/10.1128/AEM.01541-09
  14. Schwiertz A, Taras D, Schafer K, Beijer S, Bos NA, Donus C, Hardt PD. Microbiota and SCFA in lean and overweight healthy subjects. Obesity (Silver Spring) 2010, 18, 190-195. https://doi.org/10.1038/oby.2009.167
  15. Swann JR, Want EJ, Geier FM, Spagou K, Wilson ID, Sidaway JE, Nicholson JK, Holmes E. Systemic gut microbial modulation of bile acid metabolism in host tissue compartments. Proc Natl Acad Sci U S A 2011, 108 (Suppl 1), 4523-4530. https://doi.org/10.1073/pnas.1006734107