Literature DB >> 33596993

Efficacy of metformin and fermentable fiber combination therapy in adolescents with severe obesity and insulin resistance: study protocol for a double-blind randomized controlled trial.

Edward C Deehan1, Eloisa Colin-Ramirez2, Lucila Triador2, Karen L Madsen3, Carla M Prado1, Catherine J Field1, Geoff D C Ball2, Qiming Tan2, Camila Orsso1, Irina Dinu4, Mohammadreza Pakseresht1, Daniela Rubin5, Arya M Sharma3, Hein Tun6, Jens Walter7, Christopher B Newgard8, Michael Freemark8, Eytan Wine9, Andrea M Haqq10.   

Abstract

BACKGROUND: Accumulating evidence suggests that the metabolic effects of metformin and fermentable fibers are mediated, in part, through diverging or overlapping effects on the composition and metabolic functions of the gut microbiome. Pre-clinical animal models have established that the addition of fiber to metformin monotherapy improves glucose tolerance. However, possible synergistic effects of combination therapy (metformin plus fiber) have not been investigated in humans. Moreover, the underlying mechanisms of synergy have yet to be elucidated. The aim of this study is to compare in adolescents with obesity the metabolic effects of metformin and fermentable fibers in combination with those of metformin or fiber alone. We will also determine if therapeutic responses correlate with compositional and functional features of the gut microbiome.
METHODS: This is a parallel three-armed, double-blinded, randomized controlled trial. Adolescents (aged 12-18 years) with obesity, insulin resistance (IR), and a family history of type 2 diabetes mellitus (T2DM) will receive either metformin (850 mg p.o. twice/day), fermentable fibers (35 g/day), or a combination of metformin plus fiber for 12 months. Participants will be seen at baseline, 3, 6, and 12 months, with a phone follow-up at 1 and 9 months. Primary and secondary outcomes will be assessed at baseline, 6, and 12 months. The primary outcome is change in IR estimated by homeostatic model assessment of IR; key secondary outcomes include changes in the Matsuda index, oral disposition index, body mass index z-score, and fat mass to fat-free mass ratio. To gain mechanistic insight, endpoints that reflect host-microbiota interactions will also be assessed: obesity-related immune, metabolic, and satiety markers; humoral metabolites; and fecal microbiota composition, short-chain fatty acids, and bile acids. DISCUSSION: This study will compare the potential metabolic benefits of fiber with those of metformin in adolescents with obesity, determine if metformin and fiber act synergistically to improve IR, and elucidate whether the metabolic benefits of metformin and fiber associate with changes in fecal microbiota composition and the output of health-related metabolites. This study will provide insight into the potential role of the gut microbiome as a target for enhancing the therapeutic efficacy of emerging treatments for T2DM prevention. TRIAL REGISTRATION: ClinicalTrials.gov NCT04578652 . Registered on 8 October 2020.

Entities:  

Keywords:  Adolescents; Diabetes; Dietary fiber; Gut microbiome; Insulin resistance; Metformin; Obesity

Mesh:

Substances:

Year:  2021        PMID: 33596993      PMCID: PMC7890810          DOI: 10.1186/s13063-021-05060-8

Source DB:  PubMed          Journal:  Trials        ISSN: 1745-6215            Impact factor:   2.279


  82 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity.

Authors:  E Bonora; G Targher; M Alberiche; R C Bonadonna; F Saggiani; M B Zenere; T Monauni; M Muggeo
Journal:  Diabetes Care       Date:  2000-01       Impact factor: 19.112

3.  Microbiota-generated metabolites promote metabolic benefits via gut-brain neural circuits.

Authors:  Filipe De Vadder; Petia Kovatcheva-Datchary; Daisy Goncalves; Jennifer Vinera; Carine Zitoun; Adeline Duchampt; Fredrik Bäckhed; Gilles Mithieux
Journal:  Cell       Date:  2014-01-09       Impact factor: 41.582

4.  Combining sitagliptin/metformin with a functional fiber delays diabetes progression in Zucker rats.

Authors:  Raylene A Reimer; Gary J Grover; Lee Koetzner; Roland J Gahler; Michael R Lyon; Simon Wood
Journal:  J Endocrinol       Date:  2014-02-10       Impact factor: 4.286

5.  Roles of Birth Mode and Infant Gut Microbiota in Intergenerational Transmission of Overweight and Obesity From Mother to Offspring.

Authors:  Hein M Tun; Sarah L Bridgman; Radha Chari; Catherine J Field; David S Guttman; Allan B Becker; Piush J Mandhane; Stuart E Turvey; Padmaja Subbarao; Malcolm R Sears; James A Scott; Anita L Kozyrskyj
Journal:  JAMA Pediatr       Date:  2018-04-01       Impact factor: 16.193

6.  Gut microbiota from twins discordant for obesity modulate metabolism in mice.

Authors:  Vanessa K Ridaura; Jeremiah J Faith; Federico E Rey; Jiye Cheng; Alexis E Duncan; Andrew L Kau; Nicholas W Griffin; Vincent Lombard; Bernard Henrissat; James R Bain; Michael J Muehlbauer; Olga Ilkayeva; Clay F Semenkovich; Katsuhiko Funai; David K Hayashi; Barbara J Lyle; Margaret C Martini; Luke K Ursell; Jose C Clemente; William Van Treuren; William A Walters; Rob Knight; Christopher B Newgard; Andrew C Heath; Jeffrey I Gordon
Journal:  Science       Date:  2013-09-06       Impact factor: 47.728

Review 7.  Type 2 Diabetes in Youth: New Lessons from the SEARCH Study.

Authors:  Elizabeth T Jensen; Dana Dabelea
Journal:  Curr Diab Rep       Date:  2018-05-08       Impact factor: 5.430

8.  Associations between infant fungal and bacterial dysbiosis and childhood atopic wheeze in a nonindustrialized setting.

Authors:  Marie-Claire Arrieta; Andrea Arévalo; Leah Stiemsma; Pedro Dimitriu; Martha E Chico; Sofia Loor; Maritza Vaca; Rozlyn C T Boutin; Evan Morien; Mingliang Jin; Stuart E Turvey; Jens Walter; Laura Wegener Parfrey; Philip J Cooper; Brett Finlay
Journal:  J Allergy Clin Immunol       Date:  2017-12-11       Impact factor: 10.793

9.  The Gut Microbiota Profile in Children with Prader-Willi Syndrome.

Authors:  Ye Peng; Qiming Tan; Shima Afhami; Edward C Deehan; Suisha Liang; Marie Gantz; Lucila Triador; Karen L Madsen; Jens Walter; Hein M Tun; Andrea M Haqq
Journal:  Genes (Basel)       Date:  2020-08-07       Impact factor: 4.096

10.  Aberrant intestinal microbiota in individuals with prediabetes.

Authors:  Kristine H Allin; Valentina Tremaroli; Robert Caesar; Benjamin A H Jensen; Mads T F Damgaard; Martin I Bahl; Tine R Licht; Tue H Hansen; Trine Nielsen; Thomas M Dantoft; Allan Linneberg; Torben Jørgensen; Henrik Vestergaard; Karsten Kristiansen; Paul W Franks; Torben Hansen; Fredrik Bäckhed; Oluf Pedersen
Journal:  Diabetologia       Date:  2018-01-29       Impact factor: 10.122

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