Clinical Trials Logo

Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT05726435
Other study ID # IP-2016-06-3509
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date September 1, 2021
Est. completion date December 20, 2021

Study information

Verified date February 2023
Source University of Zagreb
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Athlete nutrition is becoming an increasingly important factor on the path to achieving top results. Nutrients such as soluble fiber can alter the intestinal microbiota, resulting in metabolites with a positive effect on metabolism. Thus, the fibers become available, an additional source of energy to the host, have an anti-stress effect and delay the feeling of fatigue. The primary goal of the study is to determine the impact of soluble dietary fiber on increasing athletic efficiency, the secondary goal is to determine the impact of fiber on delaying fatigue. Subjects will be randomly divided into experimental and control group. The sample of variables will consist of genome microbiota genome sequencing data, measures to assess morphological characteristics, lower extremity explosive strength tests, and cardiovascular endurance. The statistical package SPSS will be used for data processing. The expected scientific contribution of this research is to expand the scientific knowledge about the importance of dietary fiber in the diet of athletes with the aim of improving sports performance.


Description:

Material, participants, methodology and research plan The material will be soluble fiber NUTRIOSE and placebo. Nutriose, derived from corn, is generally well tolerated and no allergic reactions are known. Participants will be made aware of this in informed consent. If, however, there will be any adverse reactions in participant, participant will withdraw from the study immediately. The participants will be 14 adult, professional basketball players. The sample of subjects was determined by the size of the group in the same training process in order to exclude the influence of different training processes on the research results. Participants who have used antibiotics in the last 3 months, participants with type 1 and 2 diabetes, and also who have used other ergogenic aids in the last 30 days and still using them are excluded. Participants will be randomly divided into two groups: the experimental group that will consume the tested fibers and the control group that will consume placebo. Design is a double-blind study where an independent statistician will be entrusted with the randomization of subjects into the two groups. Sample variables: Methods: dietary methods, anthropometric methods, fatigue assessment questionnaire and fecal samples analysis. The sample of variables consists of: fecal sample for intestinal microbiota sequencing, measures to assess morphological characteristics (body height, body weight, triceps skinfold, subscapular skinfold, chest skinfold, abdomen skinfold, suprailiocristal skinfold, thigh skinfold, axillary skinfold, fat percentage calculated by the seven skinfolds algorithm). Dietary methods will be used to control eating habits and fiber intake prior to testing and to control diet during testing. The methods will be a food diary (three-day) and as an unannounced control of daily food intake once a week will be a 24-hour dietary recalls. The three-day food diary will show diet and average fiber intake just before the start of testing and unannounced control of daily food intake as evidence of unchanged eating habits during the study. All collected dietary data will be processed using Croatian food tables in addition to American tables for all foods whose chemical composition is not available in national tables. In assessing the athletic performance of basketball players, emphasis will be placed on the explosive power of the lower extremities (concentric and eccentric contractions). Anthropometric methods will use tests to assess vertical explosive power (squat jump, countermovement jump, one legged countermovement jump, maximal countermovement jump, continuous jumps with straight egs, continuous jump with bent legs) with Optojump system and explosive power - sprint (5m, 10m and 20m sprint) with the Powertimer Newtest system. Aerobic endurance tests (BEEP test with sound signal) and anaerobic endurance test (300 m (15x20)) with Powertimer Newtest system will be used to assess cardiovascular endurance. Laboratory measurements will be performed within the Sports Diagnostic Center of the Faculty of Kinesiology, University of Zagreb. Fecal samples will be collected at the Faculty of Food Technology and Biotechnology, University of Zagreb. Analysis of the composition of the intestinal microbiota by DNA sequencing from fecal samples will be performed using an Illumina NGS device. Participants will complete a questionnaire on a daily basis in subjective feeling of fatigue on a scale of 1 to 10 (rate of perceived exertion). Participants will have a daily short questionnaire on: bloating, change in stool consistency, nausea and weakness. Research plan: The research lasts a total of 8 weeks. Initial measurements before the start of supplementation include anthropometric testing and taking the first microbiota sample. This is followed by taking another microbiota sample 2 weeks after the start of supplementation. Final measurements follow at the end of 4 weeks of supplementation that include anthropometric testing and taking a third microbiota sample. Finally, the fourth microbiota sample will be 4 weeks after the final and 8 weeks after the initial measurements, respectively. After getting acquainted with the basics of testing, participants will sign a consent to participate. Three days before the initial testing, participants will be explained how collect feces and the collection containers will be distributed. Each participant will be subjected to a dietary method of measuring food intake, a three-day diet diary and unannounced controls of daily food intake, once a week. Initial measurements will begin by collecting fecal-sampled containers. After measuring the morphological characteristics, tests to assess explosive power and aerobic and anaerobic capacities will be approached. After the initial testing, during the regular competition season, the participants of both groups will continue the training process without the possibility of additional training or changes in the training process. The experimental group (n = 7) will consume 2x8.5 g/day of soluble dietary fiber over four weeks, while the control group (n = 7) will consume the same amount of placebo carbohydrates. The dose was determined by previous studies with a proven effect on the morphological characteristics of participants and without side effects. Participants will be taken by the respondents after the training in the presence of the research leader, and on the day off they will send a picture of an empty bag in mobile phone application. This will resolve "compliance." The training process will be the same for both groups, and participants will be advised not to change their diet pattern for two weeks prior to the test as well as for the duration of the experiment. After each training session and basketball game, respondents will complete a questionnaire in subjective feeling of fatigue on a scale of 1 to 10 (rate of perceived exertion). The final measurements are equal to the initial ones. Data processing methods: The sample size in the study was estimated through a test power of 70 % and a significance level of 5 %. The statistical program SPSS (Statistical Package for the Social Science), version 17.0., SPSS, Inc. will be used for data processing. Descriptive statistical parameters of the monitored variables will be calculated: arithmetic mean (AS), standard deviation (SD), minimum (MIN), maximum (MAX) and range result (RAS) and curvature (KURT) and distribution asymmetry (SKEW), and normality distribution by the Kolmogorov-Smirnov test. Multivariate and univariate analysis of variance (MANOVA and ANOVA) will be used to analyze the effects of training between initial and final measurements within groups, as well as to analyze differences in effects between groups. In case of statistically significant differences between groups, Tukey post hoc analysis will be used to determine the difference between specific groups. All conclusions will be drawn at the level of statistical error p <0.05.


Recruitment information / eligibility

Status Completed
Enrollment 20
Est. completion date December 20, 2021
Est. primary completion date October 31, 2021
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Male
Age group 18 Years to 22 Years
Eligibility Inclusion Criteria: - Professional basketball players from the same team participating in the same monitored training process Exclusion Criteria: - Diabetes or other chronic disease, taking sports performance enhancing drugs, taking antibiotics 3 months prior or during the course of the study

Study Design


Intervention

Dietary Supplement:
Soluble dietary fiber with prebiotic properties
14 adult professional baskeyball players will be divided randomly in two groups, each containing 7 players. One group shall receive Nutriose fiber, two times per day 10 grams per dose in total duration of 4 weeks. Second group shall receive same amount of Placebo in form of Maltodextrin. Each group will undergo a series of sports performance tests and questionnaires and shall donate their feces several times during the study in order to monitor gut microbiota changes. The Nutriose group in this particular intervention contains 7 randomy selected players.
Placebo
14 adult professional baskeyball players will be divided randomly in two groups, each containing 7 players. One group shall receive Nutriose fiber, two times per day 10 grams per dose in total duration of 4 weeks. Second group shall receive same amount of Placebo in form of Maltodextrin. Each group will undergo a series of sports performance tests and questionnaires and shall donate their feces several times during the study in order to monitor gut microbiota changes. This second (Placebo) group also consists of the 7 players and receives Maltodextrin supplementation. Since the study type is "double-blind", neither the participants (players) nor the person handing out the supplementation know the exact nature of fiber substance being handed during the entire duration of the trial. Independent statistician is handling the randomization of both interventions.

Locations

Country Name City State
Croatia Faculty of Food Technology and Biotechnology Zagreb

Sponsors (2)

Lead Sponsor Collaborator
University of Zagreb Croatian Science Foundation

Country where clinical trial is conducted

Croatia, 

References & Publications (11)

Aliasgharzadeh A, Dehghan P, Gargari BP, Asghari-Jafarabadi M. Resistant dextrin, as a prebiotic, improves insulin resistance and inflammation in women with type 2 diabetes: a randomised controlled clinical trial. Br J Nutr. 2015 Jan 28;113(2):321-30. doi: 10.1017/S0007114514003675. — View Citation

Clark A, Mach N. Exercise-induced stress behavior, gut-microbiota-brain axis and diet: a systematic review for athletes. J Int Soc Sports Nutr. 2016 Nov 24;13:43. doi: 10.1186/s12970-016-0155-6. eCollection 2016. — View Citation

Erdogan Z, Erdogan S, Aslantas O, Celik S. Effects of dietary supplementation of synbiotics and phytobiotics on performance, caecal coliform population and some oxidant/antioxidant parameters of broilers. J Anim Physiol Anim Nutr (Berl). 2010 Oct;94(5):e40-8. doi: 10.1111/j.1439-0396.2009.00973.x. — View Citation

Farhangi MA, Javid AZ, Sarmadi B, Karimi P, Dehghan P. A randomized controlled trial on the efficacy of resistant dextrin, as functional food, in women with type 2 diabetes: Targeting the hypothalamic-pituitary-adrenal axis and immune system. Clin Nutr. 2018 Aug;37(4):1216-1223. doi: 10.1016/j.clnu.2017.06.005. Epub 2017 Jun 10. — View Citation

Guerin-Deremaux L, Pochat M, Reifer C, Wils D, Cho S, Miller LE. The soluble fiber NUTRIOSE induces a dose-dependent beneficial impact on satiety over time in humans. Nutr Res. 2011 Sep;31(9):665-72. doi: 10.1016/j.nutres.2011.09.004. — View Citation

Lefranc-Millot C, Guerin-Deremaux L, Wils D, Neut C, Miller LE, Saniez-Degrave MH. Impact of a resistant dextrin on intestinal ecology: how altering the digestive ecosystem with NUTRIOSE(R), a soluble fibre with prebiotic properties, may be beneficial for health. J Int Med Res. 2012;40(1):211-24. doi: 10.1177/147323001204000122. — View Citation

Li S, Guerin-Deremaux L, Pochat M, Wils D, Reifer C, Miller LE. NUTRIOSE dietary fiber supplementation improves insulin resistance and determinants of metabolic syndrome in overweight men: a double-blind, randomized, placebo-controlled study. Appl Physiol Nutr Metab. 2010 Dec;35(6):773-82. doi: 10.1139/H10-074. — View Citation

Marttinen M, Ala-Jaakkola R, Laitila A, Lehtinen MJ. Gut Microbiota, Probiotics and Physical Performance in Athletes and Physically Active Individuals. Nutrients. 2020 Sep 25;12(10):2936. doi: 10.3390/nu12102936. — View Citation

Mohr AE, Jager R, Carpenter KC, Kerksick CM, Purpura M, Townsend JR, West NP, Black K, Gleeson M, Pyne DB, Wells SD, Arent SM, Kreider RB, Campbell BI, Bannock L, Scheiman J, Wissent CJ, Pane M, Kalman DS, Pugh JN, Ortega-Santos CP, Ter Haar JA, Arciero PJ, Antonio J. The athletic gut microbiota. J Int Soc Sports Nutr. 2020 May 12;17(1):24. doi: 10.1186/s12970-020-00353-w. — View Citation

Nazare JA, Sauvinet V, Normand S, Guerin-Deremaux L, Gabert L, Desage M, Wils D, Laville M. Impact of a resistant dextrin with a prolonged oxidation pattern on day-long ghrelin profile. J Am Coll Nutr. 2011 Feb;30(1):63-72. doi: 10.1080/07315724.2011.10719945. — View Citation

Wosinska L, Cotter PD, O'Sullivan O, Guinane C. The Potential Impact of Probiotics on the Gut Microbiome of Athletes. Nutrients. 2019 Sep 21;11(10):2270. doi: 10.3390/nu11102270. — View Citation

* Note: There are 11 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Rapid microbiota change The impact of fiber supplementation on gut microbiome shall assessed through monitoring of relative taxonomic abundance of bacteria that compose gut microbiota. DNA shall be extracted from collected faecal samples, stored at -80°C. DNA extraction shall be performed using the QIAamp® PowerFecal® DNA Kit. DNA concentration shall be quantified using Promega Quantus Flourometer before being sent to amplicon sequencing of variable regions 3 and 4 of the 16S rRNA gene with the primer set 341F (5'-CCTAYGGGRBGCASCAG -3') 806R (5'- GGACTACNNGGGTATCTAAT -3'). Obtained sequenceing raw data (reads) shall be analyzed using 'Quantitative Insights Into Microbial Ecology 2' (QIIME2) software in order to evaluate microbial composition of each sample. The comparison on intial sample (before intervention) and sample 1 (after 2 weeks) of supplementation shall provide a baseline insight into eventual rapid microbiota change as a response to supplementation/placebo. 2 weeks
Primary Altered microbiota composition Prolonged supplementation after initial 2 weeks will support the established altered gut microbiota in participants receiving fiber supplement. The impact of fiber supplementation on gut microbiome shall assessed through monitoring of relative taxonomic abundance of bacteria that compose gut microbiota. Gut microbiota DNA shall be extracted from collected faecal samples, stored at -80°C. DNA shall be processed in the same manner as previously described (Outcome 1). Obtained sequenceing raw data (reads) shall be analyzed using 'Quantitative Insights Into Microbial Ecology 2' (QIIME2) software in order to evaluate microbial composition of each sample. The comparison on intial sample (before intervention) and sample 2 (after 4 weeks) of supplementation shall provide an insight into eventual microbiota change as a response to prolonged supplementation/placebo. 4 weeks
Primary Effect on the perception of fatigue The major question is whether the moderately increasing fiber intake in athletes has the potential to support the intestinal microbiota and conversely positively impact training-induced perception of fatigue. In order to understand the impact of fiber consumption on the perception of fatigue, after each training session or match, the participants shall be asked to record and send a rating of perceived exertion through a mobile messaging application. The Borg's CR10 RPE scale shall be used for this purpose. This scale has a range from 0 to 10 (RPE - Rating of Perceived Exertion). The RPE scale is a tool used to monitor the perceptual response to training, as a method of determining physical exertion during exercise. The original RPE scale, developed more than 40 years ago, was primarily used to monitor aerobic load, but it still remains widely used in athlete tracking. 4 weeks
Secondary Long-term microbiota impact After total of 8 weeks fiber supplementation, one additional microbiota composition measurement (16S rRNA sequencing of donated fecal samples after 8 weeks of trial) will be taken after additional 4 weeks with no supplementation (intervention), in order to determine if the initial microbiota change caused by fiber supplementation can persist without additional fiber supplementation and to assess the potential for a long-term induced microbiota change. The comparison on intial sample (before intervention), sample 1 (after 2 weeks) of supplementation and sample 2 (after 4 weeks) with sample 3 (after 8 weeks) shall provide a baseline insight into microbiota change as a response to supplementation/placebo. DNA extraction and data processing shall be the same as in previous outcomes. 8 weeks
See also
  Status Clinical Trial Phase
Withdrawn NCT03239197 - Project SHARE (motherS Have All the Right microbEs) N/A
Completed NCT04117802 - Effects of Maple Syrup on Gut Microbiota Diversity and Metabolic Syndrome N/A
Recruiting NCT06144905 - Norwegian Microbiota Study in Anorexia Nervosa
Completed NCT05864352 - The Role of Dietary Titanium Dioxide on the Human Gut Microbiome and Health
Recruiting NCT04138979 - Intestinal Microbiota of Breast Cancer Patients Undergoing Chemotherapy
Recruiting NCT04132713 - Study on Skin Microbiome of HFS
Recruiting NCT02695784 - Probiotics After Discharge Phase 4
Completed NCT03543891 - Intestinal Microbiota and Thyroid Cancer
Completed NCT05242913 - Effects of Resistant Potato Starch on the Gut Microbiota N/A
Recruiting NCT04200521 - The Effect of Bariatric Procedures on Gut Microbiota in Obese Individuals in United Arab Emirates and Lebanon
Recruiting NCT05891977 - Effect of Tomato Paste Consumption on the Microbiota-gut-brain Axis in Healthy Adults N/A
Completed NCT02988349 - Ecological Effect of Arginine Dentifrice on Oral Microbiota N/A
Completed NCT05352724 - Clinical Trial to Evaluate the Efficacy of a Sport Drink After High-intensity Aerobic Exercise N/A
Completed NCT04674839 - The Impact of MS-20 on Gut Microbiota Composition in Adult Individuals N/A
Completed NCT03754504 - Effects of Cranberry Powder Supplements on Gut Microbiota Diversity and Metabolic Syndrome N/A
Completed NCT05394948 - Circular Economy and the Design of Healthy and Sustainable Food and Ingredients N/A
Terminated NCT03752372 - Microbiome Alterations in IL10RA-deficient Patients After HSCT
Completed NCT05974124 - Effectiveness of Ophthalmic Antiseptic Preparations N/A
Recruiting NCT02005003 - Cognitive and Metabolic Effects of a Probiotic Supplement N/A
Completed NCT04324749 - Healthy Prebiotic and Postbiotic Effects of Peanuts and Peanut Butter: College Intervention Trial N/A