- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05190432
Taxifolin/Ergothioneine and Immune Biomarkers in Healthy Volunteers (TaxEr) (TaxEr)
A Pilot Study of Dietary Taxifolin/Dihydroquercetin and Ergothioneine and Immune Biomarkers in Healthy Volunteers
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Expert guidance is available to inform the design of human nutrition trials to ensure they include the most relevant immunological outcomes (Albers, 2013). In this study, ex vivo phagocytosis and oxidative burst of immune cells will be the primary outcome, supported by other ex vivo immune measures of high clinical relevance including functional assessment of cytokine production and expression of activation markers.
Human nutritional trials frequently omit to monitor the degree of immunosenescence in participants, even amongst studies conducted amongst older adults. For example, a recent review of pre- and probiotic trials which assessed immune responses in older adults identified that only two of thirty-six studies assessed any marker of immunosenescence (Childs & Calder, 2017).
Taxifolin/DHQ is a naturally occurring polyphenol found in apples, onions and other fruits and bark extracts. Ergothioneine is an amino acid found in mushrooms, oats and some bean varieties. We hypothesise that Taxifolin/DHQ and/or Ergothioneine will alter immune function via their established antioxidant effects, and that the effects observed will vary between older adults relative to their degree of immunosenescence.
Though current dietary guidelines advise consumption of 5 portions of fruits and vegetables per day, recent surveys reveal that fewer than 30% of adults achieve this. Antioxidants found within fruits and vegetables are understood to be one of the important aspects by which our diet can influence health. It is important to investigate the effects of such antioxidants through well designed and conducted human trials.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Hampshire
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Southampton, Hampshire, United Kingdom, SO16 6YD
- NIHR Southampton Biomedical Research Centre
-
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- age 50-65yr
- BMI 18.5-30kg/m2
- Willing to avoid consumption of foods rich in Taxifolin/DHQ and Ergothioneine during the study period
- Willing to avoid taking any other food supplements or high doses of vitamins during the study period
- Able to provide written informed consent.
Exclusion Criteria:
- Use of prescription medication which may influence immune function, such as anti-inflammatory or immunosuppressant medication
- Diabetes requiring any medication
- Liver cirrhosis
- A history of drug or alcohol misuse
- Asplenia or other acquired or congenital immunodeficiencies
- Any autoimmune disease including connective tissue diseases
- Malignancy
- Laboratory confirmed SARS-CoV-2 infection within last 3 months
- self-reported symptoms of acute or recent infection (including use of antibiotics within the last 3 months)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Taxifolin/Dihydroquercetin
250mg/day Taxifolin (also known as Dihydroquercetin).
One capsule in the morning for 8 weeks.
|
A naturally occurring polyphenol found in apples, onions and other fruits and bark extracts.
Other Names:
|
|
Experimental: Ergothioneine
80mg/day Ergothioneine.
One capsule in the morning for 8 weeks.
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An amino acid found in mushrooms, oats and some bean varieties.
|
|
Placebo Comparator: Control
One capsule in the morning for 8 weeks.
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Microcrystalline cellulose.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Phagocytosis activity by granulocytes ex vivo
Time Frame: 8 weeks post intervention
|
Mean fluorescence intensity per cell will be assessed by flow cytometry.
|
8 weeks post intervention
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percentage phagocytosis by monocytes ex vivo
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Percentage of cells undergoing phagocytosis will be assessed by flow cytometry.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Phagocytosis activity by monocytes ex vivo
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Mean fluorescence intensity per cell will be assessed by flow cytometry.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Percentage phagocytosis by granulocytes ex vivo
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Percentage of cells undergoing phagocytosis will be assessed by flow cytometry.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Phagocytosis activity by granulocytes ex vivo
Time Frame: 4 weeks, 3 months post intervention
|
Mean fluorescence intensity per cell will be assessed by flow cytometry.
|
4 weeks, 3 months post intervention
|
|
Percentage oxidative burst by monocytes ex vivo
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Percentage of cells undergoing oxidative burst will be assessed by flow cytometry.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Oxidative burst activity by monocytes ex vivo
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Mean fluorescence intensity per cell will be assessed by flow cytometry.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Percentage oxidative burst by granulocytes ex vivo
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Percentage of cells undergoing oxidative burst will be assessed by flow cytometry.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Oxidative burst activity by granulocytes ex vivo
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Mean fluorescence intensity per cell will be assessed by flow cytometry.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Frequencies of naive T cells
Time Frame: 8 weeks
|
The proportion of naive T cells will be assessed by flow cytometry.
|
8 weeks
|
|
Frequencies of memory T cells
Time Frame: 8 weeks
|
The proportion of memory T cells will be assessed by flow cytometry.
|
8 weeks
|
|
CD57 expression upon T cells.
Time Frame: 8 weeks
|
The proportion of T cells expressing CD57 (a marker associated with chronic immune activation) and the mean fluorescence intensity per cell will be assessed by flow cytometry.
|
8 weeks
|
|
CD28 expression upon T cells.
Time Frame: 8 weeks
|
The proportion of T cells expressing CD28 (a cell surface marker required for T cell activation and survival) and the mean fluorescence intensity per cell will be assessed by flow cytometry.
|
8 weeks
|
|
Plasma lipid peroxides
Time Frame: 8 weeks
|
Participant plasma lipid peroxides will be measured by colorimetric analysis.
|
8 weeks
|
|
Urinary isoprostanes
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Participant urinary isoprostanes will be measured by commercially available ELISA.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Plasma isoprostanes
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Participant plasma isoprostanes will be measured by commercially available ELISA.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Cytokine production by cryopreserved peripheral blood mononuclear cells in response to lipopolyssaccharide
Time Frame: 4 weeks, 8 weeks
|
A panel of pro- and anti-inflammatory cytokines secreted by immune cells ex vivo will be assessed by Luminex array.
|
4 weeks, 8 weeks
|
|
Cytokine production by cryopreserved peripheral blood mononuclear cells in response to influenza or coronavirus vaccine products
Time Frame: 4 weeks, 8 weeks
|
A panel of pro- and anti-inflammatory cytokines secreted by immune cells ex vivo will be assessed by Luminex array.
|
4 weeks, 8 weeks
|
|
Metabolomic analysis of urine samples
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Full metabolic profiling of first-morning urine samples will be used to assess changes to metabolic activity of participants and their microbiome.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Metabolomic analysis of serum samples
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Full metabolic profiling of serum samples will be used to assess changes to metabolic activity of participants.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Faecal microbiome analysis
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
Sequences of ribosomal RNA (rRNA) in participant faecal samples will be measured to assess changes in the numbers or proportions of bacterial genera and species/strains.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Incidence of self-reported seasonal cold, coronavirus and influenza-like illness.
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
A daily online form will be completed by participants to log any seasonal cold, coronavirus and influenza-like illness.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Duration of self-reported illness.
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
A daily online form will be completed by participants to log any self-reported illness.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Severity of self-reported illness.
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
A daily online form will be completed by participants to log any self-reported illness.
|
4 weeks, 8 weeks, 3 months post intervention
|
|
Self-reported medication use.
Time Frame: 4 weeks, 8 weeks, 3 months post intervention
|
A daily online form will be completed by participants to log any medication use.
|
4 weeks, 8 weeks, 3 months post intervention
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Caroline E Childs, PhD, University of Southampton
Publications and helpful links
General Publications
- Albers R, Bourdet-Sicard R, Braun D, Calder PC, Herz U, Lambert C, Lenoir-Wijnkoop I, Meheust A, Ouwehand A, Phothirath P, Sako T, Salminen S, Siemensma A, van Loveren H, Sack U. Monitoring immune modulation by nutrition in the general population: identifying and substantiating effects on human health. Br J Nutr. 2013 Aug;110 Suppl 2:S1-30. doi: 10.1017/S0007114513001505.
- Childs, C. E., & Calder, P. C. (2017). Modifying the gut microbiome through diet: effects on the immune system of elderly subjects. In T. Fulop, C. Franceschi, K. Hirokawa, & G. Pawelec (Eds.), Handbook of Immunosenescence Cham: Springer International Publishing AG. DOI: 10.1007/978-3-319-64597-1_160-1
- Vega-Villa KR, Remsberg CM, Ohgami Y, Yanez JA, Takemoto JK, Andrews PK, Davies NM. Stereospecific high-performance liquid chromatography of taxifolin, applications in pharmacokinetics, and determination in tu fu ling (Rhizoma smilacis glabrae) and apple (Malus x domestica). Biomed Chromatogr. 2009 Jun;23(6):638-46. doi: 10.1002/bmc.1165.
- Ey J, Schomig E, Taubert D. Dietary sources and antioxidant effects of ergothioneine. J Agric Food Chem. 2007 Aug 8;55(16):6466-74. doi: 10.1021/jf071328f. Epub 2007 Jul 6.
- Przemska-Kosicka A, Childs CE, Enani S, Maidens C, Dong H, Dayel IB, Tuohy K, Todd S, Gosney MA, Yaqoob P. Effect of a synbiotic on the response to seasonal influenza vaccination is strongly influenced by degree of immunosenescence. Immun Ageing. 2016 Mar 15;13:6. doi: 10.1186/s12979-016-0061-4. eCollection 2016.
- Kang M, Ragan BG, Park JH. Issues in outcomes research: an overview of randomization techniques for clinical trials. J Athl Train. 2008 Apr-Jun;43(2):215-21. doi: 10.4085/1062-6050-43.2.215.
- Taves DR. Minimization: a new method of assigning patients to treatment and control groups. Clin Pharmacol Ther. 1974 May;15(5):443-53. doi: 10.1002/cpt1974155443. No abstract available.
- EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA); Turck D, Bresson JL, Burlingame B, Dean T, Fairweather-Tait S, Heinonen M, Hirsch-Ernst KI, Mangelsdorf I, McArdle HJ, Naska A, Neuhauser-Berthold M, Nowicka G, Pentieva K, Sanz Y, Siani A, Sjodin A, Stern M, Tome D, Vinceti M, Willatts P, Engel KH, Marchelli R, Poting A, Poulsen M, Schlatter J, Gelbmann W, Van Loveren H. Scientific Opinion on taxifolin-rich extract from Dahurian Larch (Larix gmelinii). EFSA J. 2017 Feb 14;15(2):e04682. doi: 10.2903/j.efsa.2017.4682. eCollection 2017 Feb.
- EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA); Turck D, Bresson JL, Burlingame B, Dean T, Fairweather-Tait S, Heinonen M, Hirsch-Ernst KI, Mangelsdorf I, McArdle HJ, Naska A, Neuhauser-Berthold M, Nowicka G, Pentieva K, Sanz Y, Siani A, Sjodin A, Stern M, Tome D, Vinceti M, Willatts P, Engel KH, Marchelli R, Poting A, Poulsen M, Schlatter JR, Ackerl R, van Loveren H. Statement on the safety of synthetic l-ergothioneine as a novel food - supplementary dietary exposure and safety assessment for infants and young children, pregnant and breastfeeding women. EFSA J. 2017 Nov 13;15(11):e05060. doi: 10.2903/j.efsa.2017.5060. eCollection 2017 Nov.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Respiratory Tract Infections
- Infections
- Orthomyxoviridae Infections
- RNA Virus Infections
- Virus Diseases
- Respiratory Tract Diseases
- Picornaviridae Infections
- Pathological Conditions, Signs and Symptoms
- Influenza, Human
- Inflammation
- Common Cold
- Amino Acids, Peptides, and Proteins
- Sulfur Compounds
- Organic Chemicals
- Amino Acids
- Amino Acids, Cyclic
- Sulfhydryl Compounds
- Histidine
- Ergothioneine
- taxifolin
Other Study ID Numbers
- ERGO61222.A1
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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