The Effect of Protandim Supplementation on Oxidative Damage and Athletic Performance
The Effect of 90 Days of Protandim Supplementation on Markers of Oxidative Stress, Athletic Performance, and Recovery
1 other identifier
interventional
40
1 country
1
Brief Summary
Nutrition supplementation with antioxidants have been discussed as a way to further enhance overall well-being of athletes, promote faster recovery, and improve overall performance. The use of Protandim, a nutritional supplement containing 5 botanicals (Bacopa extract 150 mg; milk thistle 225mg; ashwagandha 150 mg; green tea 75 mg; turmeric 75 mg) has shown promise in an earlier study by reducing oxidative stress and increasing the amount of the anti-oxidant enzymes in the blood. The purpose of this study was to examine the effect of \~90 day Protandim supplementation on 5-km running performance and on acute and long term oxidative damage as assessed by blood markers. Secondarily, another purpose of this study examined the effect of Protandim supplementation on other blood parameters (such as antioxidant enzyme concentrations) and measures of quality of life. The experiment was double-blind, placebo controlled. The study addressed two main questions and two secondary questions: Main Question 1: Does regular supplementation of Protandim (675 mg/day for 90 days) improve 5-km running times? Hypothesis: Protandim would improve 5-km running time by 0.5 min (SD 1-min). This is equivalent to an effect size of 0.5. The placebo group will have no change in performance. Main Question 2: Does regular supplementation of Protandim (675 mg/day for 90 days) reduce oxidative damage at rest as assessed by lipid peroxides (TBARS) in runners? Hypothesis: Based on the data by Nelson et al. (2006), oxidative damaged would be reduced by 40% (effect size = 4.8). Secondary Question 1: Does regular supplementation of Protandim (675 mg/day for 90 days) in runners reduce the increase in oxidative damage post-race compared to pre-race as assessed by lipid peroxides (TBARS)? Hypothesis: Based on the data by Kyparos et al. (2009), we expected a 45% increase in TBARS post-exercise compared to pre-exercise (effect size of 3.6). However, we expected that those that are on Protandim for 90 days will only have 31% increase in TBARS post-race (effect size = 2.5) \[based on changes in pre-post lipid peroxides from Arent et al. (2010)\]. Secondary Question 2: Does regular supplementation of Protandim (675 mg/day for 90 days) improve quality of life according to WHOQOL-BREF (Skevington, Lotfy, O'Connell, \& Group, 2004)? Hypothesis: There would be a statistical improvement in the quality of life post-Protandim supplementation which a small effect size improvement of 0.33.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2014
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 20, 2014
CompletedFirst Posted
Study publicly available on registry
June 24, 2014
CompletedStudy Start
First participant enrolled
November 1, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2016
CompletedResults Posted
Study results publicly available
January 9, 2017
CompletedFebruary 12, 2019
January 1, 2019
7 months
June 20, 2014
August 14, 2016
January 23, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
5-km Running Time
5-km running performance time was measured twice at the beginning of the study, and then once post-supplementation. The best 5 km time from both initial sessions was counted as the baseline 5-km time. The full report can be found here: http://dx.doi.org/10.1371/journal.pone.0160559
Baseline and 88 (SD 4) days
Lipid Peroxides (TBARS)
Lipid peroxides (TBARS) is a measure of oxidative damage in the blood. The full report can be found here: http://dx.doi.org/10.1371/journal.pone.0160559
Baseline, 30 days, 57 days, and 88 days
Secondary Outcomes (5)
Glutathione Peroxidase (GPX)
Baseline, 30 days, 57 days, and 88 days
Quality of Life as Assessed by the World Health Organization Quality of Life Questionnaire (Brief)
Baseline, 30 days, 57 days, and 88 days
Total Antioxidant Capacity (TAC)
Baseline and 88 (SD 4) days. All pre-exercise values.
Whole Blood Glutathione Content (GSH)
Baseline and 88 (SD 4) days. All pre-exercise values.
Superoxide Dismutase (SOD)
Baseline, 30 days, 57 days, and 88 days
Study Arms (2)
Placebo Group
PLACEBO COMPARATORCorn starch and food coloring is the placebo comparator. Each subject will ingest 675 mg (1 pill) per day of the placebo comparator
Protandim Dietary Supplement
EXPERIMENTALEach subject will ingest 675 mg per day (1 pill) of Protandim for about 90 days. Each pill contains 5 botanicals (Bacopa extract 150 mg, milk thistle 225mg, ashwagandha 150 mg, green tea 75 mg, turmeric 75 mg).
Interventions
This was a randomized, block design, controlling for 5-km performance and sex. Subjects were given 675 mg per day (1 pill per day) of Protandim for 90 days. Subjects ran a 5-km time trial before and after the supplementation period. Blood samples were taken pre and post supplementation.
This was a randomized, block design, controlling for 5-km performance and sex. Subjects were given 675 mg per day (1 pill per day) of corn starch for 90 days. Subjects ran a 5-km time trial before and after the supplementation period. Blood samples were taken pre and post supplementation.
Eligibility Criteria
You may qualify if:
- Healthy, non-pregnant subjects between 18 and 55 years of age. Apparently healthy is classified as A-1, A-2, or A-3 according to the American Heart Association
- http://circ.ahajournals.org/content/97/22/2283/T6.expansion.html
- Subjects have to achieve a classification of "local class" based on age-graded time USA Track \& Field. The age-graded time is the finish time adjusted to that of an open division participant using a factor for age and gender. Thus, the times for women and older participants are adjusted downward, while the times for most open division participants (such as 25-year-old men) remain the same. For example, a 55 year old woman has to run 29 minutes 45 seconds or better to be in the study:
- http://www.usatf.org/statistics/calculators/agegrading/
- For a man the same age, the equivalent time would be 25 minutes 2 seconds. This is approximately 60% of the speed of the current world record time for that age.
- Subjects who will abstain from taking any nutritional supplements for the duration of the study, including vitamins and mineral supplements (Exception, ferrous sulfate, elemental iron, Vitamin D, Calcium). Subjects will also abstain from taking any over the counter products (herbals, melatonin, St. John's Wort, etc…) for the duration of the study.
You may not qualify if:
- Under 18 and over 55 years of age; those who are not apparently healthy is classified as A-1, A-2, or A-3 according to the American Heart Association.
- Subjects who are not able to run 5-km in the time required for their age and gender.
- Subjects that will continue to take nutritional supplements, including over the counter products, for the duration of the study, including vitamins and mineral supplements (exception: Ferrous sulfate, Elemental iron, Vitamin D, Calcium).
- Subjects that are taking prescription medications with the exception of birth control.
- Known allergy or sensitivity to milk thistle, Bacopa monnieri, Ashwagandha, turmeric (or ginger), tea, its parts, caffeine, tannins, or members of the Theaceae family.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Crawford Gym, Room 17a, University of Louisville
Louisville, Kentucky, 40292, United States
Related Publications (7)
Arent SM, Pellegrino JK, Williams CA, Difabio DA, Greenwood JC. Nutritional supplementation, performance, and oxidative stress in college soccer players. J Strength Cond Res. 2010 Apr;24(4):1117-24. doi: 10.1519/JSC.0b013e3181cb70b8.
PMID: 20300015BACKGROUNDKyparos A, Vrabas IS, Nikolaidis MG, Riganas CS, Kouretas D. Increased oxidative stress blood markers in well-trained rowers following two thousand-meter rowing ergometer race. J Strength Cond Res. 2009 Aug;23(5):1418-26. doi: 10.1519/JSC.0b013e3181a3cb97.
PMID: 19620924BACKGROUNDKabasakalis A, Kyparos A, Tsalis G, Loupos D, Pavlidou A, Kouretas D. Blood oxidative stress markers after ultramarathon swimming. J Strength Cond Res. 2011 Mar;25(3):805-11. doi: 10.1519/JSC.0b013e3181d0b109.
PMID: 20613649BACKGROUNDNelson SK, Bose SK, Grunwald GK, Myhill P, McCord JM. The induction of human superoxide dismutase and catalase in vivo: a fundamentally new approach to antioxidant therapy. Free Radic Biol Med. 2006 Jan 15;40(2):341-7. doi: 10.1016/j.freeradbiomed.2005.08.043.
PMID: 16413416BACKGROUNDMullins AL, van Rosendal SP, Briskey DR, Fassett RG, Wilson GR, Coombes JS. Variability in oxidative stress biomarkers following a maximal exercise test. Biomarkers. 2013 Aug;18(5):446-54. doi: 10.3109/1354750X.2013.810668.
PMID: 23862764BACKGROUNDJeukendrup AE, Currell K. Should time trial performance be predicted from three serial time-to-exhaustion tests? Med Sci Sports Exerc. 2005 Oct;37(10):1820; author reply 1821. doi: 10.1249/01.mss.0000175095.56646.4b. No abstract available.
PMID: 16260987BACKGROUNDUeberschlag SL, Seay JR, Roberts AH, DeSpirito PC, Stith JM, Folz RJ, Carter KA, Weiss EP, Zavorsky GS. The Effect of Protandim(R) Supplementation on Athletic Performance and Oxidative Blood Markers in Runners. PLoS One. 2016 Aug 11;11(8):e0160559. doi: 10.1371/journal.pone.0160559. eCollection 2016.
PMID: 27513339RESULT
Related Links
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Limitations and Caveats
* Serum TBARS to detect lipid peroxidation is not specific. * TBARS may have been measured too quickly post-exercise.
Results Point of Contact
- Title
- Dr. Gerald S. Zavorsky
- Organization
- Georgia State University
Study Officials
- PRINCIPAL INVESTIGATOR
Gerald S Zavorsky, PhD
University of Louisville
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
June 20, 2014
First Posted
June 24, 2014
Study Start
November 1, 2014
Primary Completion
June 1, 2015
Study Completion
June 1, 2016
Last Updated
February 12, 2019
Results First Posted
January 9, 2017
Record last verified: 2019-01
Data Sharing
- IPD Sharing
- Will share
The de-identified data is in SPSS format placed as a supplement in the published PLOS ONE article: http://dx.doi.org/10.1371/journal.pone.0160559