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Synbiotic Therapy on Intestinal Microbiota and Insulin Resistance in Obesity

Primary Purpose

Obesity, Insulin Resistance

Status
Completed
Phase
Phase 4
Locations
Indonesia
Study Type
Interventional
Intervention
Synbiotic (Rillus)
Placebo
Sponsored by
Hasanuddin University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Obesity focused on measuring Intestinal Microbiota, Probiotic, Insulin Resistance, Obesity

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria:

  1. Age above 18 years old
  2. Not receive antibiotic prescription within the last 6 months

Exclusion Criteria

  1. Taking medication that alters the blood sugar
  2. Taking probiotic or synbiotic product (such as yogurt)
  3. Participant who do not take the synbiotic intervention for more than 3 days consecutively
  4. incomplete follow up examination results
  5. Develop adverse effect

Sites / Locations

  • Faculty of Medicine, Muhammadiyah University

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Active Comparator

Arm Label

Synbiotic

Placebo

Arm Description

A fine powder to be taken orally consists of Viable cell 1,0 x 10^9 Colony Forming Unit of : Lactobacillus plantarum 8,55 mg Streptococcus thermophilus 8,55 mg Bifidobacterium bifidum 2,55 mg Fructooligosaccharide 480 mg Additional components : isomalt, xylitol

A powder of 5 gram maltodextrin is given as active comparator, taken orally.

Outcomes

Primary Outcome Measures

Homeostatic Model Assessment for Insulin Resistance (HOMA-IR)
a value representing the insulin resistance yielded by multiplying the blood glucose value and insulin value, then divided by 405 (considering the unit of values are in mg/dL not mmol)

Secondary Outcome Measures

Full Information

First Posted
November 17, 2020
Last Updated
November 23, 2020
Sponsor
Hasanuddin University
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1. Study Identification

Unique Protocol Identification Number
NCT04642482
Brief Title
Synbiotic Therapy on Intestinal Microbiota and Insulin Resistance in Obesity
Official Title
The Effect of Synbiotic on Intestinal Microbiota and HOMA-IR (Homeostatic Model Assessment of Insulin Resistance) on Obesity
Study Type
Interventional

2. Study Status

Record Verification Date
November 2020
Overall Recruitment Status
Completed
Study Start Date
September 24, 2019 (Actual)
Primary Completion Date
December 26, 2019 (Actual)
Study Completion Date
September 1, 2020 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Hasanuddin University

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
Background : There is a plausible relationship between microbial gut and insulin resistance. Intervention to prevent insulin resistance by modifying the microbial gut has been proposed but limited studies demonstrates the expected impact. One of the possible way to manipulate the microbial gut is the administration of synbiotic (prebiotic and probiotic). Objective : This study aim to address the impact of synbiotic administration to the microbial gut and insulin resistance. Brief Methodology : A Quasi Experimental study with multiple arms is conducted to healthy participants. All subjects will undergo a microbial gut taxonomic analysis using faecal sample and blood examination to determine the insulin resistance status (using Homeostatic Model Assessment for Insulin Resistance/HOMA-IR approach). Synbiotic will be given to intervention arm and active comparator will use maltodextrin. Repeated measurement will be conducted after 8 weeks and 12 weeks from the day of administration. Hypothesis : A superiority trial hypothesis is applied, assuming that the synbiotic group will demonstrates higher variety of microbial gut and lower HOMA-IR level
Detailed Description
Study Location : This study will recruit the healthy participants from the university Target Population: Healthy Participants General Study Design : Quasi Experimental study with a comparator Sample Size calculation : Difference between two means of HOMA IR from pilot data (7) and standard deviation 2.9, with 5% Type I error, and 80% Power yielded a total of 16 participants for two arms Management of Sample: Faecal Sample handling Patient should undergo 8 hours of fasting prior to faecal examination DNA Extraction Lysate preparation and centrifuge faecal sample Mixing lysate with sample Column wash DNA elution DNA storing DNA sequencing and analysis taxonomical analysis Fasting blood glucose Patient should undergo 8 hours of fasting prior to Fasting blood glucose Blood is taken from cubital vein Spectrometry is conducted based on the NADPH formation from the equation below D-glucose+ATP -----> Glucose-6-phospate+ADP Glucose-6-phospate+NAD ---- G-6-PDH ---> D-Gluconate-6 phospate+NADH+H Insulin level Centrifuge blood to obtain the serum The monoclonal anti-insulin antibody is given to the serum detection is based on the anti-insulin antibody and insulin complex formation Homeostatic Model Assessment for Insulin Resistance/ HOMA-IR value is calculated from glucose level multiply by insulin level and divided by 405. Protection for adverse event All subjects are given the consent regarding the potential harm of synbiotic administration All subjects will follow the protocol of reporting the any adverse event (most likely, severe constipation) All subjects will be treated accordingly and hospitalisation if needed. Statistical Analysis General Analysis : Intention To Treat (ITT) Propensity Score Matching will be conducted prior to intervention A repeated measure ANOVA will be performed, whereas Generalized Linear Mixed Model treating the intervention as dummy variable will be performed if ANOVA assumptions can not be fulfilled.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Obesity, Insulin Resistance
Keywords
Intestinal Microbiota, Probiotic, Insulin Resistance, Obesity

7. Study Design

Primary Purpose
Treatment
Study Phase
Phase 4
Interventional Study Model
Parallel Assignment
Model Description
A multiple-arm study involves three different groups receiving synbiotic (probiotic + prebiotic) and placebo. Observation of intestinal microbiota and insulin resistance is observed in repeated measurement
Masking
ParticipantCare ProviderInvestigatorOutcomes Assessor
Masking Description
The participants receive the synbiotic in the form of fine powder and taken orally and packed with similar packages. Care provider (Research assistants) distribute the unlabeled formulation to the participants. Outcome assessors (laboratory technician) will not be informed regarding the allocation. Investigators are blinded from allocation and will not be informed until the final analysis. Only the statistician will perform and aware of the allocation. A propensity matching score (PSM) is preferred to allocate the participants.
Allocation
Non-Randomized
Enrollment
16 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Synbiotic
Arm Type
Experimental
Arm Description
A fine powder to be taken orally consists of Viable cell 1,0 x 10^9 Colony Forming Unit of : Lactobacillus plantarum 8,55 mg Streptococcus thermophilus 8,55 mg Bifidobacterium bifidum 2,55 mg Fructooligosaccharide 480 mg Additional components : isomalt, xylitol
Arm Title
Placebo
Arm Type
Active Comparator
Arm Description
A powder of 5 gram maltodextrin is given as active comparator, taken orally.
Intervention Type
Dietary Supplement
Intervention Name(s)
Synbiotic (Rillus)
Other Intervention Name(s)
Rillus
Intervention Description
Participants in this group will be given a fine powder of synbiotic formula and should be taken orally without diluted with water.
Intervention Type
Drug
Intervention Name(s)
Placebo
Other Intervention Name(s)
Maltodextrin
Intervention Description
Participants in this group will be given a fine powder of maltodextrin formula and should be taken orally without diluted with water.
Primary Outcome Measure Information:
Title
Homeostatic Model Assessment for Insulin Resistance (HOMA-IR)
Description
a value representing the insulin resistance yielded by multiplying the blood glucose value and insulin value, then divided by 405 (considering the unit of values are in mg/dL not mmol)
Time Frame
Changes of HOMA IR value from baseline to 8 weeks
Other Pre-specified Outcome Measures:
Title
Abundance-based Coverage Estimator (ACE) Index of Faecal Sample
Description
This index defined as the sum of the probabilities of the observed species. The ACE method divides observed frequencies into abundant and rare groups. The abundant species are those with more than 10 individuals in the sample, and the rare species are those with fewer than 10 individuals
Time Frame
Prior to intervention (Time 0), 8 weeks after Time 0, and 12 weeks after Time 0
Title
Shannon Index of Faecal Sample
Description
The Shannon diversity index to a value between 0 and 1. Lower values indicate more diversity of microbial gut while higher values indicate less diversity.
Time Frame
Prior to intervention (Time 0), 8 weeks after Time 0, and 12 weeks after Time 0

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: Age above 18 years old Not receive antibiotic prescription within the last 6 months Exclusion Criteria Taking medication that alters the blood sugar Taking probiotic or synbiotic product (such as yogurt) Participant who do not take the synbiotic intervention for more than 3 days consecutively incomplete follow up examination results Develop adverse effect
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Nasrum Massi, Prof.
Organizational Affiliation
Hasanuddin University
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Andi Anggeraini
Organizational Affiliation
Hasanuddin University
Official's Role
Principal Investigator
Facility Information:
Facility Name
Faculty of Medicine, Muhammadiyah University
City
Makassar
State/Province
South Sulawesi
ZIP/Postal Code
90221
Country
Indonesia

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
20815975
Citation
Andreasen AS, Larsen N, Pedersen-Skovsgaard T, Berg RM, Moller K, Svendsen KD, Jakobsen M, Pedersen BK. Effects of Lactobacillus acidophilus NCFM on insulin sensitivity and the systemic inflammatory response in human subjects. Br J Nutr. 2010 Dec;104(12):1831-8. doi: 10.1017/S0007114510002874. Epub 2010 Sep 6.
Results Reference
background
PubMed Identifier
32119675
Citation
Hagerty SL, Hutchison KE, Lowry CA, Bryan AD. An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample. PLoS One. 2020 Mar 2;15(3):e0229204. doi: 10.1371/journal.pone.0229204. eCollection 2020.
Results Reference
background
PubMed Identifier
23947604
Citation
Brahe LK, Astrup A, Larsen LH. Is butyrate the link between diet, intestinal microbiota and obesity-related metabolic diseases? Obes Rev. 2013 Dec;14(12):950-9. doi: 10.1111/obr.12068. Epub 2013 Aug 16.
Results Reference
background
PubMed Identifier
23037511
Citation
Bermudez-Brito M, Plaza-Diaz J, Munoz-Quezada S, Gomez-Llorente C, Gil A. Probiotic mechanisms of action. Ann Nutr Metab. 2012;61(2):160-74. doi: 10.1159/000342079. Epub 2012 Oct 2.
Results Reference
background
PubMed Identifier
17823788
Citation
Cani PD, Neyrinck AM, Fava F, Knauf C, Burcelin RG, Tuohy KM, Gibson GR, Delzenne NM. Selective increases of bifidobacteria in gut microflora improve high-fat-diet-induced diabetes in mice through a mechanism associated with endotoxaemia. Diabetologia. 2007 Nov;50(11):2374-83. doi: 10.1007/s00125-007-0791-0. Epub 2007 Sep 6.
Results Reference
background
PubMed Identifier
19442172
Citation
Cani PD, Delzenne NM. The role of the gut microbiota in energy metabolism and metabolic disease. Curr Pharm Des. 2009;15(13):1546-58. doi: 10.2174/138161209788168164.
Results Reference
background
PubMed Identifier
26600968
Citation
Chakraborti CK. New-found link between microbiota and obesity. World J Gastrointest Pathophysiol. 2015 Nov 15;6(4):110-9. doi: 10.4291/wjgp.v6.i4.110.
Results Reference
background
PubMed Identifier
23985870
Citation
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.
Results Reference
background
PubMed Identifier
23360884
Citation
Delzenne NM, Neyrinck AM, Cani PD. Gut microbiota and metabolic disorders: How prebiotic can work? Br J Nutr. 2013 Jan;109 Suppl 2:S81-5. doi: 10.1017/S0007114512004047.
Results Reference
background
PubMed Identifier
15185861
Citation
Griffiths EA, Duffy LC, Schanbacher FL, Qiao H, Dryja D, Leavens A, Rossman J, Rich G, Dirienzo D, Ogra PL. In vivo effects of bifidobacteria and lactoferrin on gut endotoxin concentration and mucosal immunity in Balb/c mice. Dig Dis Sci. 2004 Apr;49(4):579-89. doi: 10.1023/b:ddas.0000026302.92898.ae.
Results Reference
background
PubMed Identifier
25818484
Citation
He C, Shan Y, Song W. Targeting gut microbiota as a possible therapy for diabetes. Nutr Res. 2015 May;35(5):361-7. doi: 10.1016/j.nutres.2015.03.002. Epub 2015 Mar 14.
Results Reference
background
PubMed Identifier
29931423
Citation
Kassaian N, Feizi A, Aminorroaya A, Jafari P, Ebrahimi MT, Amini M. The effects of probiotics and synbiotic supplementation on glucose and insulin metabolism in adults with prediabetes: a double-blind randomized clinical trial. Acta Diabetol. 2018 Oct;55(10):1019-1028. doi: 10.1007/s00592-018-1175-2. Epub 2018 Jun 22.
Results Reference
background
PubMed Identifier
29037268
Citation
Kim YA, Keogh JB, Clifton PM. Probiotics, prebiotics, synbiotics and insulin sensitivity. Nutr Res Rev. 2018 Jun;31(1):35-51. doi: 10.1017/S095442241700018X. Epub 2017 Oct 17.
Results Reference
background
PubMed Identifier
21812894
Citation
Kootte RS, Vrieze A, Holleman F, Dallinga-Thie GM, Zoetendal EG, de Vos WM, Groen AK, Hoekstra JB, Stroes ES, Nieuwdorp M. The therapeutic potential of manipulating gut microbiota in obesity and type 2 diabetes mellitus. Diabetes Obes Metab. 2012 Feb;14(2):112-20. doi: 10.1111/j.1463-1326.2011.01483.x. Epub 2011 Nov 22.
Results Reference
background
PubMed Identifier
20140211
Citation
Larsen N, Vogensen FK, van den Berg FW, Nielsen DS, Andreasen AS, Pedersen BK, Al-Soud WA, Sorensen SJ, Hansen LH, Jakobsen M. Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS One. 2010 Feb 5;5(2):e9085. doi: 10.1371/journal.pone.0009085.
Results Reference
background
PubMed Identifier
21281408
Citation
Naito E, Yoshida Y, Makino K, Kounoshi Y, Kunihiro S, Takahashi R, Matsuzaki T, Miyazaki K, Ishikawa F. Beneficial effect of oral administration of Lactobacillus casei strain Shirota on insulin resistance in diet-induced obesity mice. J Appl Microbiol. 2011 Mar;110(3):650-7. doi: 10.1111/j.1365-2672.2010.04922.x. Epub 2011 Feb 1.
Results Reference
background
PubMed Identifier
27252163
Citation
Saad MJ, Santos A, Prada PO. Linking Gut Microbiota and Inflammation to Obesity and Insulin Resistance. Physiology (Bethesda). 2016 Jul;31(4):283-93. doi: 10.1152/physiol.00041.2015.
Results Reference
background

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Synbiotic Therapy on Intestinal Microbiota and Insulin Resistance in Obesity

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