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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT05592509
Other study ID # ANTIOX001
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date September 15, 2022
Est. completion date March 24, 2023

Study information

Verified date October 2022
Source S&R Farmaceutici spa
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The purpose of this pilot study is to evaluate the antioxidant effect of a nutraceutical formulation based on vegetable oil and vitamin complex (vitamin K2 and vitamin B9) in subjects with the same level of physical activity (LAF 1.70-1.99, normally active or moderately active).


Description:

Study design: The pilot study will enroll 20 subjects with physical activity level LAF 1.70-1.99 (normally active or moderately active). The 20 subjects will be divided into two groups of 10 subjects following randomization. The first group will take the dietary supplement (three capsules per day) for 60 days, while the second group will take a placebo (three capsules per day) for 60 days. During the treatment period (60 days), the two groups will undergo follow-ups at days 0, 15, 30 and 60 within which clinical and hematochemical examinations will be conducted. At the end of the 60 days, after the wash-out period (two weeks), as per the cross-over design the group previously taking the dietary supplement will be on placebo (three capsules per day) for 60 days, while the group previously taking placebo will take the dietary supplement (three capsules per day) for 60 days. Again, follow-ups will be at 0, 15, 30 and 60 days.


Recruitment information / eligibility

Status Completed
Enrollment 20
Est. completion date March 24, 2023
Est. primary completion date February 15, 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 60 Years
Eligibility Inclusion Criteria: - Subjects of both sexes; - Aged between 18 and 60 years, naïve to taking antioxidant supplements; - Absent of chronic diseases and current therapies; - willing and able to understand and sign an informed consent; - willing to follow a dietary pattern developed according to the LARN (Reference Intake Levels of Nutrients and Energy for the Italian Population) guidelines that establish reference intake levels for Average Energy Requirement (AR) and Macronutrients (Carbohydrates, Lipids and Protein) for the Italian adult population [LARN Tables*]; - Hematobiochemical examinations in normal range: blood count, lipid status, renal and liver function, inflammatory status (Tnfa, C-reactive protein, ESR), glycemic profile (Fasting blood glucose, HbA1C, insulinemia, Homa Index); - BMI in the normal range (18-24.99); - Physical activity level LAF 1.70-1.99 (normally active or moderately active) Exclusion Criteria: - Chronic diseases (chronic renal failure, chronic hepatocellular failure, autoimmune diseases, chronic inflammatory bowel disease, diabetes mellitus, end-stage neoplasms, symptomatic chronic ischemic heart disease) - Severe hypertension; - High-grade hypercholesterolemia; - Age < 18 years; - Poor compliance; - Intake of dietary supplements containing antioxidants; - Untreated hypothyroidism; - Pregnant and lactating women; - Underweight subjects (BMI =18.49); - Overweight subjects (25= BMI =30); - Subjects with obesity (BMI =30); - Subjects with different levels of physical activity: very active (LAF 2.00-2.40) and sedentary (LAF 1.40-1.69).

Study Design


Related Conditions & MeSH terms


Intervention

Dietary Supplement:
Ozonized vegetable oil with vitamines
description: A single capsule is composed by ozonized vegetable oil (75 mg), vitamin K2 (20 mcg), vitamin B9 (130 mcg). The posology is three capsules/day. The time of administration is two months.

Locations

Country Name City State
Italy Crabion srl Corciano Perugia

Sponsors (1)

Lead Sponsor Collaborator
S&R Farmaceutici spa

Country where clinical trial is conducted

Italy, 

References & Publications (22)

Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, Tudor-Locke C, Greer JL, Vezina J, Whitt-Glover MC, Leon AS. 2011 Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011 Aug;43(8):1575-81. doi: 10.1249/MSS.0b013e31821ece12. — View Citation

Askari G, Ghiasvand R, Feizi A, Ghanadian SM, Karimian J. The effect of quercetin supplementation on selected markers of inflammation and oxidative stress. J Res Med Sci. 2012 Jul;17(7):637-41. — View Citation

Barbieri E, Sestili P. Reactive oxygen species in skeletal muscle signaling. J Signal Transduct. 2012;2012:982794. doi: 10.1155/2012/982794. Epub 2011 Dec 5. — View Citation

Buonocore D, Verri M, Giolitto A, Doria E, Ghitti M, Dossena M. Effect of 8-week n-3 fatty-acid supplementation on oxidative stress and inflammation in middle- and long-distance running athletes: a pilot study. J Int Soc Sports Nutr. 2020 Nov 11;17(1):55. doi: 10.1186/s12970-020-00391-4. — View Citation

Dhavamani S, Poorna Chandra Rao Y, Lokesh BR. Total antioxidant activity of selected vegetable oils and their influence on total antioxidant values in vivo: a photochemiluminescence based analysis. Food Chem. 2014 Dec 1;164:551-5. doi: 10.1016/j.foodchem.2014.05.064. Epub 2014 May 22. — View Citation

El-Hamidi M. Zaher FA. Production of vegetable oils in the world and in Egypt: An overview. Bull Natl Res Cent. 2018, 42, 1-9. doi: 10.1186/s42269-018-0019-0.

Kim JG, Yousef AE, Dave S. Application of ozone for enhancing the microbiological safety and quality of foods: a review. J Food Prot. 1999 Sep;62(9):1071-87. doi: 10.4315/0362-028x-62.9.1071. — View Citation

Liguori I, Russo G, Curcio F, Bulli G, Aran L, Della-Morte D, Gargiulo G, Testa G, Cacciatore F, Bonaduce D, Abete P. Oxidative stress, aging, and diseases. Clin Interv Aging. 2018 Apr 26;13:757-772. doi: 10.2147/CIA.S158513. eCollection 2018. — View Citation

Mironczuk-Chodakowska I, Witkowska AM, Zujko ME. Endogenous non-enzymatic antioxidants in the human body. Adv Med Sci. 2018 Mar;63(1):68-78. doi: 10.1016/j.advms.2017.05.005. Epub 2017 Aug 17. — View Citation

Misurcova L, Ambrozova J, Samek D. Seaweed lipids as nutraceuticals. Adv Food Nutr Res. 2011;64:339-55. doi: 10.1016/B978-0-12-387669-0.00027-2. — View Citation

Mozaffarian D, Rimm EB. Fish intake, contaminants, and human health: evaluating the risks and the benefits. JAMA. 2006 Oct 18;296(15):1885-99. doi: 10.1001/jama.296.15.1885. Erratum In: JAMA. 2007 Feb 14;297(6):590. — View Citation

Orsavova J, Misurcova L, Ambrozova JV, Vicha R, Mlcek J. Fatty Acids Composition of Vegetable Oils and Its Contribution to Dietary Energy Intake and Dependence of Cardiovascular Mortality on Dietary Intake of Fatty Acids. Int J Mol Sci. 2015 Jun 5;16(6):12871-90. doi: 10.3390/ijms160612871. — View Citation

Petraru A, Ursachi F, Amariei S. Nutritional Characteristics Assessment of Sunflower Seeds, Oil and Cake. Perspective of Using Sunflower Oilcakes as a Functional Ingredient. Plants (Basel). 2021 Nov 17;10(11):2487. doi: 10.3390/plants10112487. — View Citation

Powers SK, Deminice R, Ozdemir M, Yoshihara T, Bomkamp MP, Hyatt H. Exercise-induced oxidative stress: Friend or foe? J Sport Health Sci. 2020 Sep;9(5):415-425. doi: 10.1016/j.jshs.2020.04.001. Epub 2020 May 4. — View Citation

Powers SK, Ji LL, Kavazis AN, Jackson MJ. Reactive oxygen species: impact on skeletal muscle. Compr Physiol. 2011 Apr;1(2):941-69. doi: 10.1002/cphy.c100054. — View Citation

Reid MB. Invited Review: redox modulation of skeletal muscle contraction: what we know and what we don't. J Appl Physiol (1985). 2001 Feb;90(2):724-31. doi: 10.1152/jappl.2001.90.2.724. — View Citation

Romero AC. et al. 2013, 'The Exogenous Antioxidants', in J. A. Morales-González (ed.), oxidative Stress and Chronic Degenerative Diseases - A Role for Antioxidants, IntechOpen, London. doi: 10.5772/52490.

Romeu M, Aranda N, Giralt M, Ribot B, Nogues MR, Arija V. Diet, iron biomarkers and oxidative stress in a representative sample of Mediterranean population. Nutr J. 2013 Jul 16;12:102. doi: 10.1186/1475-2891-12-102. — View Citation

Sakellariou GK, Jackson MJ, Vasilaki A. Redefining the major contributors to superoxide production in contracting skeletal muscle. The role of NAD(P)H oxidases. Free Radic Res. 2014 Jan;48(1):12-29. doi: 10.3109/10715762.2013.830718. Epub 2013 Oct 7. — View Citation

Simioni C, Zauli G, Martelli AM, Vitale M, Sacchetti G, Gonelli A, Neri LM. Oxidative stress: role of physical exercise and antioxidant nutraceuticals in adulthood and aging. Oncotarget. 2018 Mar 30;9(24):17181-17198. doi: 10.18632/oncotarget.24729. eCollection 2018 Mar 30. — View Citation

Tan BL, Norhaizan ME. Effect of High-Fat Diets on Oxidative Stress, Cellular Inflammatory Response and Cognitive Function. Nutrients. 2019 Oct 25;11(11):2579. doi: 10.3390/nu11112579. — View Citation

Yildirim E, Cinar M, Yalcinkaya I, Ekici H, Atmaca N, Guncum E. Effect of cocoa butter and sunflower oil supplementation on performance, immunoglobulin, and antioxidant vitamin status of rats. Biomed Res Int. 2014;2014:606575. doi: 10.1155/2014/606575. Epub 2014 Jul 16. — View Citation

* Note: There are 22 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up baseline value before crossover
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up evaluation after 15 days of treatment before crossover
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up evaluation after 30 days of treatment before crossover
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up evaluation after 60 days of treatment before crossover
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up baseline after crossover
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up evaluation after 15 days of treatment after crossover
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up evaluation after 30 days of treatment after crossover
Primary Evaluation of hematic oxidative stress by quantifying ROS (CARR U) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying reactive oxygen metabolites (ROS) using CARR U as units of measure comparing with the placebo-treated group at each follow-up evaluation after 60 days of treatment after crossover
Primary Evaluation of hematic oxidative stress by quantifying biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up Baseline before crossover
Primary Evaluation of hematic oxidative stress by biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up evaluation after 15 days of treatment before crossover
Primary Evaluation of hematic oxidative stress by quantifying biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up evaluation after 30 days of treatment before crossover
Primary Evaluation of hematic oxidative stress by quantifying biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up evaluation after 60 days of treatment before crossover
Primary Evaluation of hematic oxidative stress by quantifying biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up baseline after crossover
Primary Evaluation of hematic oxidative stress by quantifying biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up evaluation after 15 days of treatment after crossover
Primary Evaluation of hematic oxidative stress by quantifying biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up evaluation after 30 days of treatment after crossover
Primary Evaluation of hematic oxidative stress by quantifying biological antioxidant potential (umol/l) Evaluation of the ability of the dietary supplement to modulate oxidative stress over time by quantifying biological antioxidant potential using umol/l as units of measure comparing with the placebo-treated group at each follow-up evaluation after 60 days of treatment after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying C-Reactive Protein (CRP) Evaluation of the modulation of inflammatory parameters by C-Reactive Protein (CRP) using mg/dl as unit of measure baseline value before crossover
Secondary Assessment of hematic inflammatory parameters by quantifying C-Reactive Protein (CRP) Evaluation of the modulation of inflammatory parameters by C-Reactive Protein (CRP) using mg/dl as unit of measure evaluation after 60 days of treatment before crossover
Secondary Assessment of hematic inflammatory parameters by quantifying C-Reactive Protein (CRP) Evaluation of the modulation of inflammatory parameters by C-Reactive Protein (CRP) using mg/dl as unit of measure baseline after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying C-Reactive Protein (CRP) Evaluation of the modulation of inflammatory parameters by C-Reactive Protein (CRP) using mg/dl as unit of measure evaluation after 60 days of treatment after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Erythrocyte Sedimentation Rate (ESR) Evaluation of the modulation of inflammatory parameters by measuring Erythrocyte Sedimentation Rate (ESR) using mm/h as unit of measure baseline value before crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Erythrocyte Sedimentation Rate (ESR) Evaluation of the modulation of inflammatory parameters by measuring Erythrocyte Sedimentation Rate (ESR) using mm/h as unit of measure evaluation after 60 days of treatment before the crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Erythrocyte Sedimentation Rate (ESR) Evaluation of the modulation of inflammatory parameters by measuring Erythrocyte Sedimentation Rate (ESR) using mm/h as unit of measure baseline after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Erythrocyte Sedimentation Rate (ESR) Evaluation of the modulation of inflammatory parameters by measuring Erythrocyte Sedimentation Rate (ESR) using mm/h as unit of measure evaluation after 60 days of treatment after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) Evaluation of the modulation of inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) using pg/mL as unit of measure baseline value before crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) Evaluation of the modulation of inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) using pg/mL as unit of measure evaluation after 60 days of treatment before crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) Evaluation of the modulation of inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) using pg/mL as unit of measure baseline after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) Evaluation of the modulation of inflammatory parameters by quantifying Tumor Necrosis Factor (Tnfa) using pg/mL as unit of measure evaluation after 60 days of treatment after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Cortisol level Evaluation of the modulation of inflammatory parameters by measuring Cortisol level using µg/dl as unit of measure baseline value before crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Cortisol level Evaluation of the modulation of inflammatory parameters by measuring Cortisol level using µg/dl as unit of measure evaluation after 60 days of treatment before crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Cortisol level Evaluation of the modulation of inflammatory parameters by measuring Cortisol level using µg/dl as unit of measure baseline value after crossover
Secondary Assessment of hematic inflammatory parameters by quantifying Cortisol level Evaluation of the modulation of inflammatory parameters by measuring Cortisol level using µg/dl as unit of measure evaluation after 60 days of treatment after crossover
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