Study Results
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Basic Information
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UNKNOWN
120 participants
OBSERVATIONAL
2015-11-30
2023-12-30
Brief Summary
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Detailed Description
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Another aspect of RYGB that has not been studied is the potential changes in oral microbiome (OM) and salivary proteome (SP) and their relationship with weight loss and metabolic improvement. Understanding the OM and SP in morbidly obese patients before and after RYGB is important because shifts in the OM and SP may explain the susceptibility of these patients for oral infections like periodontal disease, which is more prevalent and severe in this population, particularly if T2D is present To our knowledge there are no longitudinal studies the relation between oral and intestinal microbiome before and after bariatric surgery. Furthermore, there are no studies looking at the effect of weight-reduction with the very low calorie diet (VLCD) Optifast regimen on IM, which the investigators plan to do. As IM may contribute to obesity and IR/T2D, the latter being the most dominant feature of the MetS. However, whether specific IM compositions are associated with improvement of obesity, IR/T2D and other features of the MetS is not clear; and the effects of RYGB on IM for treatment of these disorders in morbid obesity have not been well studied.
The investigators will conduct a prospective observational study of morbidly obese patients undergoing RYGB, in which the investigators will measure the intestinal microbiome before and after surgery along with insulin resistance and metabolic syndrome. Baseline measurements will be done before the pre-operative run-in with the very low calorie Optifast regimen (800 kcal/d) given before the laparoscopic RYGB (1 week/100 lbs body weight) to reduce the liver size for surgical access. Preoperatively, Optifast likely leads to changes in IM (never assessed) in addition to weight loss and improvement in MetS parameters. Aim: To track the changes in IM structure and function (metagenome) of morbidly obese patients undergoing laparoscopic RYGB through 3 stages - a) before vs. after pre-op Optifast weight reduction treatment 24; and post-op RYGB at b) 1 month; and at c) 6 months. The investigators will correlate the specific changes in IM through these stages, to improvement in IR and other features of the MetS. At the same time points the investigators will also measure the OM, salivary flow rate and SP, as well as oral inflammatory load.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Roux-en-Y gastric bypass surgery (RYGB)
Morbidly obese patients undergoing gastric bypass surgery
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
65 Years
ALL
No
Sponsors
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Canadian Institutes of Health Research (CIHR)
OTHER_GOV
University Health Network, Toronto
OTHER
Responsible Party
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Johane Allard
Professor, Gastroenterologist
Principal Investigators
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Johane P Allard, MD, FRCPC
Role: PRINCIPAL_INVESTIGATOR
University Health Network, Toronto
Locations
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University Health Network, Toronto General Hospital
Toronto, Ontario, Canada
Countries
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References
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Lewis MC, Phillips ML, Slavotinek JP, Kow L, Thompson CH, Toouli J. Change in liver size and fat content after treatment with Optifast very low calorie diet. Obes Surg. 2006 Jun;16(6):697-701. doi: 10.1381/096089206777346682.
Chaffee BW, Weston SJ. Association between chronic periodontal disease and obesity: a systematic review and meta-analysis. J Periodontol. 2010 Dec;81(12):1708-24. doi: 10.1902/jop.2010.100321. Epub 2010 Aug 19.
Madsbad S, Dirksen C, Holst JJ. Mechanisms of changes in glucose metabolism and bodyweight after bariatric surgery. Lancet Diabetes Endocrinol. 2014 Feb;2(2):152-64. doi: 10.1016/S2213-8587(13)70218-3. Epub 2014 Feb 3.
Graessler J, Qin Y, Zhong H, Zhang J, Licinio J, Wong ML, Xu A, Chavakis T, Bornstein AB, Ehrhart-Bornstein M, Lamounier-Zepter V, Lohmann T, Wolf T, Bornstein SR. Metagenomic sequencing of the human gut microbiome before and after bariatric surgery in obese patients with type 2 diabetes: correlation with inflammatory and metabolic parameters. Pharmacogenomics J. 2013 Dec;13(6):514-22. doi: 10.1038/tpj.2012.43. Epub 2012 Oct 2.
Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F, Liang S, Zhang W, Guan Y, Shen D, Peng Y, Zhang D, Jie Z, Wu W, Qin Y, Xue W, Li J, Han L, Lu D, Wu P, Dai Y, Sun X, Li Z, Tang A, Zhong S, Li X, Chen W, Xu R, Wang M, Feng Q, Gong M, Yu J, Zhang Y, Zhang M, Hansen T, Sanchez G, Raes J, Falony G, Okuda S, Almeida M, LeChatelier E, Renault P, Pons N, Batto JM, Zhang Z, Chen H, Yang R, Zheng W, Li S, Yang H, Wang J, Ehrlich SD, Nielsen R, Pedersen O, Kristiansen K, Wang J. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature. 2012 Oct 4;490(7418):55-60. doi: 10.1038/nature11450. Epub 2012 Sep 26.
Le Chatelier E, Nielsen T, Qin J, Prifti E, Hildebrand F, Falony G, Almeida M, Arumugam M, Batto JM, Kennedy S, Leonard P, Li J, Burgdorf K, Grarup N, Jorgensen T, Brandslund I, Nielsen HB, Juncker AS, Bertalan M, Levenez F, Pons N, Rasmussen S, Sunagawa S, Tap J, Tims S, Zoetendal EG, Brunak S, Clement K, Dore J, Kleerebezem M, Kristiansen K, Renault P, Sicheritz-Ponten T, de Vos WM, Zucker JD, Raes J, Hansen T; MetaHIT consortium; Bork P, Wang J, Ehrlich SD, Pedersen O. Richness of human gut microbiome correlates with metabolic markers. Nature. 2013 Aug 29;500(7464):541-6. doi: 10.1038/nature12506.
Arimatsu K, Yamada H, Miyazawa H, Minagawa T, Nakajima M, Ryder MI, Gotoh K, Motooka D, Nakamura S, Iida T, Yamazaki K. Oral pathobiont induces systemic inflammation and metabolic changes associated with alteration of gut microbiota. Sci Rep. 2014 May 6;4:4828. doi: 10.1038/srep04828.
Other Identifiers
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TB2-138775
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
15-8784-AE
Identifier Type: -
Identifier Source: org_study_id
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