Skip to main content
Top
Published in: Trials 1/2017

Open Access 01-12-2017 | Study protocol

The effects of probiotic and synbiotic supplementation on metabolic syndrome indices in adults at risk of type 2 diabetes: study protocol for a randomized controlled trial

Authors: Nazila Kassaian, Ashraf Aminorroaya, Awat Feizi, Parvaneh Jafari, Masoud Amini

Published in: Trials | Issue 1/2017

Login to get access

Abstract

Background

The incidence of type 2 diabetes, cardiovascular diseases, and obesity has been rising dramatically; however, their pathogenesis is particularly intriguing. Recently, dysbiosis of the intestinal microbiota has emerged as a new candidate that may be linked to metabolic diseases. We hypothesize that selective modulation of the intestinal microbiota by probiotic or synbiotic supplementation may improve metabolic dysfunction and prevent diabetes in prediabetics. In this study, a synthesis and study of synbiotics will be carried out for the first time in Iran.

Methods/Design

In a randomized triple-blind controlled clinical trial, 120 adults with impaired glucose tolerance based on the inclusion criteria will be selected by a simple random sampling method and will be randomly allocated to 6 months of 6 g/d probiotic, synbiotic or placebo. The fecal abundance of bacteria, blood pressure, height, weight, and waist and hip circumferences will be measured at baseline and following treatment. Also, plasma lipid profiles, HbA1C, fasting plasma glucose, and insulin levels, will be measured and insulin resistance (HOMA-IR) and beta-cell function (HOMA-B) will be calculated at baseline and will be repeated at months 3, 6, 12, and 18. The data will be compared within and between groups using statistical methods.

Discussion

The results of this trial could contribute to the evidence-based clinical guidelines that address gut microbiota manipulation to maximize health benefits in prevention and management of metabolic syndrome in prediabetes.

Trial registration

Iranian Registry of Clinical Trials: IRCT201511032321​N2. Registered on 27 February 2016.
Appendix
Available only for authorised users
Literature
1.
go back to reference Allin KH, Nielsen T, Pedersen O. Mechanisms in endocrinology: gut microbiota in patients with type 2 diabetes mellitus. Eur J Endocrinol. 2015;172(4):R167–R77.CrossRefPubMed Allin KH, Nielsen T, Pedersen O. Mechanisms in endocrinology: gut microbiota in patients with type 2 diabetes mellitus. Eur J Endocrinol. 2015;172(4):R167–R77.CrossRefPubMed
2.
go back to reference Moslehi J, Libby P. You can’t run from inflammation lower extremity ischemia, hypoxia signaling, and macrophage subtypes. Circ Res. 2012;110(8):1045–6.CrossRefPubMed Moslehi J, Libby P. You can’t run from inflammation lower extremity ischemia, hypoxia signaling, and macrophage subtypes. Circ Res. 2012;110(8):1045–6.CrossRefPubMed
3.
go back to reference Tuttolomondo A, Di Raimondo D, Pecoraro R, Arnao V, Pinto A, Licata G. Atherosclerosis as an inflammatory disease. Curr Pharm Des. 2012;18(28):4266–88.CrossRefPubMed Tuttolomondo A, Di Raimondo D, Pecoraro R, Arnao V, Pinto A, Licata G. Atherosclerosis as an inflammatory disease. Curr Pharm Des. 2012;18(28):4266–88.CrossRefPubMed
4.
go back to reference David LA, Materna AC, Friedman J, Baptista MI, Blackburn MC, Perrotta A, et al. Erratum to: Host lifestyle affects human microbiota on daily timescales. Genome Biol. 2016;17(1):117.CrossRefPubMedPubMedCentral David LA, Materna AC, Friedman J, Baptista MI, Blackburn MC, Perrotta A, et al. Erratum to: Host lifestyle affects human microbiota on daily timescales. Genome Biol. 2016;17(1):117.CrossRefPubMedPubMedCentral
5.
go back to reference Fukuda S, Ohno H. Gut microbiome and metabolic diseases. Semin Immunopath. 2014;36(1):103–14.CrossRef Fukuda S, Ohno H. Gut microbiome and metabolic diseases. Semin Immunopath. 2014;36(1):103–14.CrossRef
7.
go back to reference Schwingshackl L, Hoffmann G, Buijsse B, Mittag T, Stelmach-Mardas M, Boeing H, et al. Dietary supplements and risk of cause-specific death, cardiovascular disease, and cancer: a protocol for a systematic review and network meta-analysis of primary prevention trials. Systc Rev. 2015;4(1):34.CrossRef Schwingshackl L, Hoffmann G, Buijsse B, Mittag T, Stelmach-Mardas M, Boeing H, et al. Dietary supplements and risk of cause-specific death, cardiovascular disease, and cancer: a protocol for a systematic review and network meta-analysis of primary prevention trials. Systc Rev. 2015;4(1):34.CrossRef
8.
go back to reference Larsen N, Vogensen FK, van den Berg FW, Nielsen DS, Andreasen AS, Pedersen BK, et al. Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS One. 2010;5(2), e9085.CrossRefPubMedPubMedCentral Larsen N, Vogensen FK, van den Berg FW, Nielsen DS, Andreasen AS, Pedersen BK, et al. Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS One. 2010;5(2), e9085.CrossRefPubMedPubMedCentral
9.
go back to reference Pussinen PJ, Havulinna AS, Lehto M, Sundvall J, Salomaa V. Endotoxemia is associated with an increased risk of incident diabetes. Diabetes Care. 2011;34(2):392–7.CrossRefPubMedPubMedCentral Pussinen PJ, Havulinna AS, Lehto M, Sundvall J, Salomaa V. Endotoxemia is associated with an increased risk of incident diabetes. Diabetes Care. 2011;34(2):392–7.CrossRefPubMedPubMedCentral
10.
go back to reference Guo X, Xia X, Tang R, Zhou J, Zhao H, Wang K. Development of a real-time PCR method for Firmicutes and Bacteroidetes in faeces and its application to quantify intestinal population of obese and lean pigs. Lett Appl Microbiol. 2008;47(5):367–73.CrossRefPubMed Guo X, Xia X, Tang R, Zhou J, Zhao H, Wang K. Development of a real-time PCR method for Firmicutes and Bacteroidetes in faeces and its application to quantify intestinal population of obese and lean pigs. Lett Appl Microbiol. 2008;47(5):367–73.CrossRefPubMed
11.
go back to reference Zoetendal EG, Vaughan EE, De Vos WM. A microbial world within us. Mol Microbiol. 2006;59(6):1639–50.CrossRefPubMed Zoetendal EG, Vaughan EE, De Vos WM. A microbial world within us. Mol Microbiol. 2006;59(6):1639–50.CrossRefPubMed
12.
go back to reference Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006;444(7122):1022–3.CrossRefPubMed Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006;444(7122):1022–3.CrossRefPubMed
13.
go back to reference Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444(7122):1027–131.CrossRefPubMed Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444(7122):1027–131.CrossRefPubMed
14.
go back to reference Marchesi JR, Adams DH, Fava F, Hermes GD, Hirschfield GM, Hold G, et al. The gut microbiota and host health: a new clinical frontier. Gut. 2016;65(2):330–9.CrossRefPubMed Marchesi JR, Adams DH, Fava F, Hermes GD, Hirschfield GM, Hold G, et al. The gut microbiota and host health: a new clinical frontier. Gut. 2016;65(2):330–9.CrossRefPubMed
15.
go back to reference Ley RE, Bäckhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci U S A. 2005;102(31):11070–5.CrossRefPubMedPubMedCentral Ley RE, Bäckhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci U S A. 2005;102(31):11070–5.CrossRefPubMedPubMedCentral
16.
go back to reference Macfarlane S, Cleary S, Bahrami B, Reynolds N, Macfarlane G. Synbiotic consumption changes the metabolism and composition of the gut microbiota in older people and modifies inflammatory processes: a randomised, double-blind, placebo-controlled crossover study. Aliment Pharmacol Ther. 2013;38(7):804–16.CrossRefPubMed Macfarlane S, Cleary S, Bahrami B, Reynolds N, Macfarlane G. Synbiotic consumption changes the metabolism and composition of the gut microbiota in older people and modifies inflammatory processes: a randomised, double-blind, placebo-controlled crossover study. Aliment Pharmacol Ther. 2013;38(7):804–16.CrossRefPubMed
17.
go back to reference Han JL, Lin HL. Intestinal microbiota and type 2 diabetes: from mechanism insights to therapeutic perspective. World J Gastroenterol. 2014;20(47):17737–45.PubMedPubMedCentral Han JL, Lin HL. Intestinal microbiota and type 2 diabetes: from mechanism insights to therapeutic perspective. World J Gastroenterol. 2014;20(47):17737–45.PubMedPubMedCentral
18.
go back to reference Rastall RA, Gibson GR. Recent developments in prebiotics to selectively impact beneficial microbes and promote intestinal health. Curr Opin Biotechnol. 2015;32:42–6.CrossRefPubMed Rastall RA, Gibson GR. Recent developments in prebiotics to selectively impact beneficial microbes and promote intestinal health. Curr Opin Biotechnol. 2015;32:42–6.CrossRefPubMed
19.
go back to reference Hulston CJ, Churnside AA, Venables MC. Probiotic supplementation prevents high-fat, overfeeding-induced insulin resistance in human subjects. Br J Nutr. 2015;113(4):596–602.CrossRefPubMedPubMedCentral Hulston CJ, Churnside AA, Venables MC. Probiotic supplementation prevents high-fat, overfeeding-induced insulin resistance in human subjects. Br J Nutr. 2015;113(4):596–602.CrossRefPubMedPubMedCentral
20.
go back to reference He C, Shan Y, Song W. Targeting gut microbiota as a possible therapy for diabetes. Nutr Res. 2015;35(5):361–7.CrossRefPubMed He C, Shan Y, Song W. Targeting gut microbiota as a possible therapy for diabetes. Nutr Res. 2015;35(5):361–7.CrossRefPubMed
21.
go back to reference Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, et al. Development and validation of a patient self-assessment score for diabetes risk. Ann Intern Med. 2009;151(11):775–83.CrossRefPubMedPubMedCentral Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, et al. Development and validation of a patient self-assessment score for diabetes risk. Ann Intern Med. 2009;151(11):775–83.CrossRefPubMedPubMedCentral
22.
go back to reference van Zanten GC, Krych L, Röytiö H, Forssten S, Lahtinen SJ, Al-Soud WA, et al. Synbiotic Lactobacillus acidophilus NCFM and cellobiose does not affect human gut bacterial diversity but increases abundance of lactobacilli, bifidobacteria and branched-chain fatty acids: a randomized, double-blinded cross-over trial. FEMS Microbiol Ecol. 2014;90(1):225–36.CrossRefPubMed van Zanten GC, Krych L, Röytiö H, Forssten S, Lahtinen SJ, Al-Soud WA, et al. Synbiotic Lactobacillus acidophilus NCFM and cellobiose does not affect human gut bacterial diversity but increases abundance of lactobacilli, bifidobacteria and branched-chain fatty acids: a randomized, double-blinded cross-over trial. FEMS Microbiol Ecol. 2014;90(1):225–36.CrossRefPubMed
23.
go back to reference Eslamparast T, Zamani F, Hekmatdoost A, Sharafkhah M, Eghtesad S, Malekzadeh R, et al. Effects of synbiotic supplementation on insulin resistance in subjects with the metabolic syndrome: a randomised, double-blind, placebo-controlled pilot study. Br J Nutr. 2014;112(03):438–45.CrossRefPubMed Eslamparast T, Zamani F, Hekmatdoost A, Sharafkhah M, Eghtesad S, Malekzadeh R, et al. Effects of synbiotic supplementation on insulin resistance in subjects with the metabolic syndrome: a randomised, double-blind, placebo-controlled pilot study. Br J Nutr. 2014;112(03):438–45.CrossRefPubMed
24.
go back to reference Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves JW, Hill MN, et al. Recommendations for blood pressure measurement in humans: an AHA scientific statement from the Council on High Blood Pressure Research Professional and Public Education Subcommittee. J Clin Hypertens. 2005;7(2):102–9.CrossRef Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves JW, Hill MN, et al. Recommendations for blood pressure measurement in humans: an AHA scientific statement from the Council on High Blood Pressure Research Professional and Public Education Subcommittee. J Clin Hypertens. 2005;7(2):102–9.CrossRef
25.
go back to reference Mossavar-Rahmani Y. Reducing measurement error in nutrition assessment: potential research implications for Iran. Nutr Food Sci Res. 2017;4(1):3–10. Mossavar-Rahmani Y. Reducing measurement error in nutrition assessment: potential research implications for Iran. Nutr Food Sci Res. 2017;4(1):3–10.
26.
go back to reference Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9; Suppl):S498–504.CrossRefPubMed Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9; Suppl):S498–504.CrossRefPubMed
27.
go back to reference Machin D, Campbell MJ, Tan SB, Tan SH. Sample size tables for clinical studies. Chichester: Wiley; 2011. Machin D, Campbell MJ, Tan SB, Tan SH. Sample size tables for clinical studies. Chichester: Wiley; 2011.
28.
go back to reference Enders CK. A primer on maximum likelihood algorithms available for use with missing data. Struct Equ Model. 2001;8(1):128–41.CrossRef Enders CK. A primer on maximum likelihood algorithms available for use with missing data. Struct Equ Model. 2001;8(1):128–41.CrossRef
Metadata
Title
The effects of probiotic and synbiotic supplementation on metabolic syndrome indices in adults at risk of type 2 diabetes: study protocol for a randomized controlled trial
Authors
Nazila Kassaian
Ashraf Aminorroaya
Awat Feizi
Parvaneh Jafari
Masoud Amini
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Trials / Issue 1/2017
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-017-1885-8

Other articles of this Issue 1/2017

Trials 1/2017 Go to the issue