Fecal microbiota in client-owned obese dogs changes after weight loss with a high-fiber-high-protein diet.
16S rRNA
Canine obesity
Dysbiosis
Fecal microbiota
Weight loss
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2020
2020
Historique:
received:
23
03
2020
accepted:
22
07
2020
entrez:
21
10
2020
pubmed:
22
10
2020
medline:
22
10
2020
Statut:
epublish
Résumé
The fecal microbiota from obese individuals can induce obesity in animal models. In addition, studies in humans, animal models and dogs have revealed that the fecal microbiota of subjects with obesity is different from that of lean subjects and changes after weight loss. However, the impact of weight loss on the fecal microbiota in dogs with obesity has not been fully characterized. In this study, we used 16S rRNA gene sequencing to investigate the differences in the fecal microbiota of 20 pet dogs with obesity that underwent a weight loss program. The endpoint of the weight loss program was individually tailored to the ideal body weight of each dog. In addition, we evaluated the qPCR based Dysbiosis Index before and after weight loss. After weight loss, the fecal microbiota structure of dogs with obesity changed significantly ( The changes observed in the fecal microbiota of dogs with obesity after weight loss with a weight loss diet rich in fiber and protein were in agreement with previous studies in humans, that reported an increase of bacterial biodiversity and a decrease of the ratio Firmicutes/Bacteroidetes.
Sections du résumé
BACKGROUND
BACKGROUND
The fecal microbiota from obese individuals can induce obesity in animal models. In addition, studies in humans, animal models and dogs have revealed that the fecal microbiota of subjects with obesity is different from that of lean subjects and changes after weight loss. However, the impact of weight loss on the fecal microbiota in dogs with obesity has not been fully characterized.
METHODS
METHODS
In this study, we used 16S rRNA gene sequencing to investigate the differences in the fecal microbiota of 20 pet dogs with obesity that underwent a weight loss program. The endpoint of the weight loss program was individually tailored to the ideal body weight of each dog. In addition, we evaluated the qPCR based Dysbiosis Index before and after weight loss.
RESULTS
RESULTS
After weight loss, the fecal microbiota structure of dogs with obesity changed significantly (
CONCLUSION
CONCLUSIONS
The changes observed in the fecal microbiota of dogs with obesity after weight loss with a weight loss diet rich in fiber and protein were in agreement with previous studies in humans, that reported an increase of bacterial biodiversity and a decrease of the ratio Firmicutes/Bacteroidetes.
Identifiants
pubmed: 33083100
doi: 10.7717/peerj.9706
pii: 9706
pmc: PMC7543742
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e9706Informations de copyright
©2020 Bermudez Sanchez et al.
Déclaration de conflit d'intérêts
The diets used in this study were manufactured by Royal Canin. Alexander J. German and Georgiana R.T. Woods are employees of the University of Liverpool but his academic post is funded by Royal Canin, part of Mars Petcare. Both have received financial remuneration and gifts for providing educational material, speaking at conferences, and consultancy work. Alexander J. Germans’s position at the University of Liverpool is funded by Royal Canin; Alexander J. German has also received financial remuneration and gifts for providing educational material, speaking at conferences, and consultancy work. Rachel Pilla, Joerg M. Steiner, Jonathan A. Lidbury and Jan S. Suchodolski are employed by the Gastrointestinal Laboratory at Texas A&M University, which provides assay for intestinal function and microbiota analysis on a fee-for-service basis. Jan S. Suchodolski have also received consulting fees from Royal Canin.
Références
Diseases. 2018 Dec 11;6(4):
pubmed: 30544946
J Vet Intern Med. 2017 Jul;31(4):1000-1007
pubmed: 28608635
J Exp Med. 2019 Jan 7;216(1):20-40
pubmed: 30322864
J Anim Sci. 2018 Jul 28;96(8):3102-3111
pubmed: 29790949
Nature. 2013 Aug 29;500(7464):585-8
pubmed: 23985875
Science. 2016 Apr 29;352(6285):560-4
pubmed: 27126039
PeerJ. 2019 Jan 9;7:e6103
pubmed: 30643689
J Vet Intern Med. 2015 Jan;29(1):43-50
pubmed: 25407880
Science. 2013 Sep 6;341(6150):1241214
pubmed: 24009397
Environ Microbiol. 2016 May;18(5):1403-14
pubmed: 26271760
PLoS One. 2018 Aug 15;13(8):e0201279
pubmed: 30110340
Animals (Basel). 2020 Mar 22;10(3):
pubmed: 32235730
PLoS One. 2014 Sep 17;9(9):e107909
pubmed: 25229475
J Comp Pathol. 2017 May;156(4):293-295
pubmed: 28457487
J Comp Pathol. 2017 May;156(4):296-309
pubmed: 28460795
Physiol Behav. 2011 Nov 30;105(1):100-5
pubmed: 21376066
Nat Rev Microbiol. 2013 Sep;11(9):639-47
pubmed: 23912213
Int J Obes (Lond). 2009 Jul;33(7):758-67
pubmed: 19050675
J Am Vet Med Assoc. 2002 May 1;220(9):1315-20
pubmed: 11991408
Nature. 2006 Dec 21;444(7122):1027-31
pubmed: 17183312
J Vet Intern Med. 2019 Jan;33(1):89-99
pubmed: 30548336
Gastroenterology. 2012 Oct;143(4):913-6.e7
pubmed: 22728514
Proc Natl Acad Sci U S A. 2007 Jan 16;104(3):979-84
pubmed: 17210919
Microbiome. 2018 Apr 19;6(1):72
pubmed: 29669589
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
J Nutr. 2006 Jul;136(7 Suppl):1976S-1978S
pubmed: 16772471
Proc Natl Acad Sci U S A. 2004 Nov 2;101(44):15718-23
pubmed: 15505215
Nutrition. 2000 Oct;16(10):866-73
pubmed: 11054591
FEMS Microbiol Ecol. 2013 May;84(2):332-43
pubmed: 23301868
Sci Rep. 2018 Jun 27;8(1):9749
pubmed: 29950689
Vet J. 2012 Jun;192(3):428-34
pubmed: 22075257
Top Companion Anim Med. 2018 Dec;33(4):126-135
pubmed: 30502863
Curr Opin Lipidol. 2016 Apr;27(2):141-7
pubmed: 26855231
Appl Environ Microbiol. 2006 Jul;72(7):5069-72
pubmed: 16820507
Nature. 2006 Dec 21;444(7122):1022-3
pubmed: 17183309
Appetite. 2011 Apr;56(2):511-5
pubmed: 21255628
Nature. 2014 Jan 23;505(7484):559-63
pubmed: 24336217
J Anim Sci. 2018 Sep 7;96(9):3684-3698
pubmed: 30060077
Gut Pathog. 2017 Nov 21;9:68
pubmed: 29201150
ISME J. 2012 Mar;6(3):610-8
pubmed: 22134646
J Vet Intern Med. 2007 Nov-Dec;21(6):1174-80
pubmed: 18196722
Vet J. 2010 Mar;183(3):294-7
pubmed: 19138868
J Vet Intern Med. 2007 Nov-Dec;21(6):1203-8
pubmed: 18196727
Vet Microbiol. 2014 Dec 5;174(3-4):463-473
pubmed: 25458422
J Small Anim Pract. 2010 Jul;51(7):362-7
pubmed: 20402841
Neurogastroenterol Motil. 2012 Apr;24(4):305-11
pubmed: 22339979
Cell Host Microbe. 2008 Apr 17;3(4):213-23
pubmed: 18407065
Nature. 2009 Jan 22;457(7228):480-4
pubmed: 19043404
PLoS One. 2010 Mar 22;5(3):e9768
pubmed: 20339542
BMC Vet Res. 2017 Feb 28;13(1):65
pubmed: 28245817
Vet Med Sci. 2017 Nov 03;3(4):252-262
pubmed: 29152318
J Comp Pathol. 2017 May;156(4):326-333
pubmed: 28460797
FEMS Microbiol Ecol. 2017 Nov 1;93(11):
pubmed: 29040443
Gut Microbes. 2012 Jul-Aug;3(4):279-88
pubmed: 22572877
J Vet Intern Med. 2018 Nov;32(6):1903-1910
pubmed: 30353569
Diabetes. 2007 Jul;56(7):1761-72
pubmed: 17456850
Proc Natl Acad Sci U S A. 2005 Aug 2;102(31):11070-5
pubmed: 16033867
Microbiologyopen. 2012 Sep;1(3):340-7
pubmed: 23170232
J Nutr. 2006 Jul;136(7 Suppl):1940S-1946S
pubmed: 16772464
Heliyon. 2020 Jan 29;6(1):e03311
pubmed: 32021942
Vet J. 2010 Jul;185(1):4-9
pubmed: 20472476
Domest Anim Endocrinol. 2009 Nov;37(4):214-26
pubmed: 19674864
Nature. 2000 Apr 6;404(6778):635-43
pubmed: 10766250
ISME J. 2011 Apr;5(4):639-49
pubmed: 20962874
Nat Biotechnol. 2019 Aug;37(8):852-857
pubmed: 31341288