- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05432362
ESAN II - Energy Sensing in Depression
ESAN II - Energy Sensing in Depression. Effects of Aronia Melanocarpa on Immunomodulation in Patients With Obesity, Depression, and Normal Weight Controls.
The purpose of this study is to assess the effects of polyphenols from natural aronia juice on the immune system.
Therefore, the study aims to distinguish the effects of natural juices that are rich in phytonutrients such as polyphenols and carotenoids in healthy and depressive subjects in order to use the known positive effects of these food sources in the therapeutic setting.
The consumption of natural fruit juices that are rich in polyphenols and carotenoids mirror a model of vegetarian diet due to the increased micronutrient density derived from plant food. Results obtained here can be seen as preliminary explanation models for the beneficial effects of vegetarian diet.
It is hypothesized, that the consumption of naturally polyphenol rich aronia juice changes the expression of regulatory T cells, specific cells of the immune system that contribute to immunomodulation. Furthermore, beneficial changes in the gut microbiome, the metabolome and the nutritional status are expected in the studied groups.
The study was registered retrospectively (after start of recruitment) on Clinicaltrials.gov.
Study Overview
Status
Intervention / Treatment
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Sonja Lackner, Dr.
- Phone Number: +43 316 385 711 66
- Email: sonja.lackner@medunigraz.at
Study Contact Backup
- Name: Sandra Holasek, Prof.
- Phone Number: +43 316 385 71153
- Email: sandra.holasek@medunigraz.at
Study Locations
-
-
Styria
-
Graz, Styria, Austria, 8010
- Recruiting
- Medical Universtiy of Graz
-
Contact:
- Sandra Holasek, Prof.
- Phone Number: +43 316 385 71153
- Email: sandra.holasek@medunigraz.at
-
Contact:
- Sonja Lackner, Dr.
- Phone Number: +43 316 385 71166
- Email: sonja.lackner@medunigraz.at
-
Sub-Investigator:
- Theresa Lahousen, Dr.
-
Sub-Investigator:
- Sabrina Mörkl, DDr.
-
Sub-Investigator:
- Sonja Lackner, Dr.
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Socio-demographic criteria:
- Gender: female
- Age: 18-40 years
Confirmation of the study settings
receives of information on
- the aims,
- methods,
- anticipated benefits,
- potential risks, and
- entailed discomforts of the study
- signed declaration of consent
Subgroup of depressive patients:
- diagnosis of depression according to the ICD-10 criteria for depression
diagnosed by an experienced psychiatrist
- a structured diagnostic interview
- voluntarily agreement to participate
- signed informed consent
Subgroup of normal weight participants:
- WHO criteria for normal weight (body mass index (BMI) 18.5-24.99 kg/m2)
Subgroup of obese participants
- WHO criteria for obesity (BMI < 30.0 kg/m2)
Exclusion Criteria:
Formal criteria:
- lack of informed consent
Health criteria
- alcohol- or drug abuse
major cognitive deficits (which do not allow adequate testing)
- according to Mini Mental Status Examination (MMSE) <20
- patients which are currently in the locked ward of the clinic
acute or chronic diseases or infections within the previous two months
- upper respiratory tract infections
- fever
- chronic inflammatory disorders
- autoimmune-disorders
- blood diseases
- mitochondrial diseases
Digestive disorders
- fructose intolerance
history of digestive diseases such as
- inflammatory bowel disease
- irritable bowel syndrome
treatment that may has influenced the microbiome
- antibiotic or antifungal treatment within the previous two months
- daily or irregular intake of prebiotics or probiotics within the previous two months (the intake of yoghurt and dairy products are permitted)
- history of gastrointestinal surgery (other than appendectomy)
- Pregnancy and period of breastfeeding
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Verum Normal Weight
Normal weight participants receiving polyphenol-rich Aronia juice (verum) (n=20) The aronia juice is derived from a local producer, a common food and commercially available.
|
The intervention is based an the additional consumption of 200 ml natural juice a day for a period of six weeks.
The participants are asked to drink the natural and commercially available juice in addition to their regular diet.
Further, they are asked not to change their diets and lifestyle behaviour during the intervention.
|
|
Experimental: Verum Obesity
Adipose participants receiving polyphenol-rich Aronia juice (verum) (n=20) The aronia juice is derived from a local producer, a common food and commercially available.
|
The intervention is based an the additional consumption of 200 ml natural juice a day for a period of six weeks.
The participants are asked to drink the natural and commercially available juice in addition to their regular diet.
Further, they are asked not to change their diets and lifestyle behaviour during the intervention.
|
|
Experimental: Verum Depression
Depressive participants receiving polyphenol-rich Aronia juice (verum) (n=20) The aronia juice is derived from a local producer, a common food and commercially available.
|
The intervention is based an the additional consumption of 200 ml natural juice a day for a period of six weeks.
The participants are asked to drink the natural and commercially available juice in addition to their regular diet.
Further, they are asked not to change their diets and lifestyle behaviour during the intervention.
|
|
Placebo Comparator: Placebo Normal Weight
Normal weight participants receiving placebo (control) (n=20) The placebo drink is prepared according to a published recipe and contains nutrients such as sugars, vitamins and minerals. It has a comparable nutrients profile as the aronia juice but is completely polyphenol-free. |
A beverage is prepared according to a known recipe.
It contains macro- and micronutrients in comparable amounts like the aronia juice.
It is completely polyphenol free.
|
|
Placebo Comparator: Placebo Obesity
Obese participants receiving placebo (control) (n=20) The placebo drink is prepared according to a published recipe and contains nutrients such as sugars, vitamins and minerals. It has a comparable nutrients profile as the aronia juice but is completely polyphenol-free |
A beverage is prepared according to a known recipe.
It contains macro- and micronutrients in comparable amounts like the aronia juice.
It is completely polyphenol free.
|
|
Placebo Comparator: Placebo Depression
Depressive participants receiving placebo (control) (n=20) The placebo drink is prepared according to a published recipe and contains nutrients such as sugars, vitamins and minerals. It has a comparable nutrients profile as the aronia juice but is completely polyphenol-free |
A beverage is prepared according to a known recipe.
It contains macro- and micronutrients in comparable amounts like the aronia juice.
It is completely polyphenol free.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change of baseline regulatory T cells (Tregs) at 6 weeks (after the intervention)
Time Frame: Determination at baseline (day 0) and after 6 weeks (after the intervention)
|
Tregs are involved in modulating the immune system and maintaining tolerance to self-antigens and preventing autoimmune diseases. Regulatory T cells (Treg) will be quantified using multiparameter flow cytometry. Monoclonal antibodies specific for surface markers such as CD3, CD4, CD45RA, CD39 and CD25 will be combined with intracellular anti-Foxp3 for the identification of human Treg. |
Determination at baseline (day 0) and after 6 weeks (after the intervention)
|
|
Change of baseline regulatory T cells (Tregs) at 12 weeks (after the intervention and another 6 weeks of wash out)
Time Frame: Determination at baseline and after 12 weeks (after the 6-weeks intervention and another 6 weeks of wash out)
|
Tregs are involved in modulating the immune system and maintaining tolerance to self-antigens and preventing autoimmune diseases.
The assessment of Tregs after 12 weeks aims to identify any persisting effects of the intervention.
|
Determination at baseline and after 12 weeks (after the 6-weeks intervention and another 6 weeks of wash out)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change of baseline gut microbiome at 6 weeks (after the intervention)
Time Frame: Determination at baseline (day 0) and after 6 weeks (after the intervention)
|
Stool samples will be collected with the PSP spin stool DNA stool collection kit (Stratec, Birkenfeld, GER) and processed according to the suppliers recommendations.
Subsequently to DNA extraction the variable V1-V2 region of the bacterial 16S rRNA gene is amplified with PCR using oligonucleotide primers BSF8 and BSR357.
|
Determination at baseline (day 0) and after 6 weeks (after the intervention)
|
|
Change of baseline gut microbiome at 12 weeks (after the 6-weeks intervention and another 6 weeks of wash out)
Time Frame: Determination at baseline and after 12 weeks (after the 6-weeks intervention and another 6 weeks of wash out)
|
Stool samples will be collected with the PSP spin stool DNA stool collection kit (Stratec, Birkenfeld, GER) and processed according to the suppliers recommendations.
Subsequently to DNA extraction the variable V1-V2 region of the bacterial 16S rRNA gene is amplified with PCR using oligonucleotide primers BSF8 and BSR357.
The assessment of the change in the gut microbiome after 12 weeks aims to identify any persisting effects of the intervention.
|
Determination at baseline and after 12 weeks (after the 6-weeks intervention and another 6 weeks of wash out)
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change of baseline metabolome at 6 weeks (after the intervention)
Time Frame: Determination at baseline (day 0) and after 6 weeks (after the intervention)
|
The metabolome can be identified in various biological materials such as blood (EDTA and serum) Metabolites in blood will be analyzed by using 1H-NMR spectra.
A non-targeted approach will be applied to characterize a potential shift in the participants' metabolic profile.
|
Determination at baseline (day 0) and after 6 weeks (after the intervention)
|
|
Change of baseline metabolome at 12 weeks (after the 6 weeks intervention and another 6 weeks of wash out)
Time Frame: Determination at baseline and after 12 weeks (after the 6-weeks intervention and another 6 weeks of wash out)
|
The metabolome can be identified in various biological materials such as blood (EDTA and serum) Metabolites in blood will be analyzed by using 1H-NMR spectra.
A non-targeted approach will be applied to characterize a potential shift in the participants' metabolic profile.The assessment of the change in the metabolome after 12 weeks aims to identify any persisting effects of the intervention.
|
Determination at baseline and after 12 weeks (after the 6-weeks intervention and another 6 weeks of wash out)
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Sandra Holasek, Prof., Medical Universtiy of Graz
Publications and helpful links
General Publications
- Meyrel M, Varin L, Detaint B, Mouaffak F. [The intestinal microbiota: A new player in depression?]. Encephale. 2018 Feb;44(1):67-74. doi: 10.1016/j.encep.2017.03.005. Epub 2017 Apr 24. French.
- Koopman M, El Aidy S; MIDtrauma consortium. Depressed gut? The microbiota-diet-inflammation trialogue in depression. Curr Opin Psychiatry. 2017 Sep;30(5):369-377. doi: 10.1097/YCO.0000000000000350.
- De Rosa V, Galgani M, Santopaolo M, Colamatteo A, Laccetti R, Matarese G. Nutritional control of immunity: Balancing the metabolic requirements with an appropriate immune function. Semin Immunol. 2015 Sep;27(5):300-9. doi: 10.1016/j.smim.2015.10.001. Epub 2015 Oct 29.
- Abella V, Scotece M, Conde J, Pino J, Gonzalez-Gay MA, Gomez-Reino JJ, Mera A, Lago F, Gomez R, Gualillo O. Leptin in the interplay of inflammation, metabolism and immune system disorders. Nat Rev Rheumatol. 2017 Feb;13(2):100-109. doi: 10.1038/nrrheum.2016.209. Epub 2017 Jan 5.
- Perez-Perez A, Vilarino-Garcia T, Fernandez-Riejos P, Martin-Gonzalez J, Segura-Egea JJ, Sanchez-Margalet V. Role of leptin as a link between metabolism and the immune system. Cytokine Growth Factor Rev. 2017 Jun;35:71-84. doi: 10.1016/j.cytogfr.2017.03.001. Epub 2017 Mar 4.
- Bettelli E, Carrier Y, Gao W, Korn T, Strom TB, Oukka M, Weiner HL, Kuchroo VK. Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells. Nature. 2006 May 11;441(7090):235-8. doi: 10.1038/nature04753. Epub 2006 Apr 30.
- Kim W, Lee H. Advances in nutritional research on regulatory T-cells. Nutrients. 2013 Oct 28;5(11):4305-15. doi: 10.3390/nu5114305.
- Kim YS, Sayers TJ, Colburn NH, Milner JA, Young HA. Impact of dietary components on NK and Treg cell function for cancer prevention. Mol Carcinog. 2015 Sep;54(9):669-78. doi: 10.1002/mc.22301. Epub 2015 Apr 1.
- Xue Z, Li D, Yu W, Zhang Q, Hou X, He Y, Kou X. Mechanisms and therapeutic prospects of polyphenols as modulators of the aryl hydrocarbon receptor. Food Funct. 2017 Apr 19;8(4):1414-1437. doi: 10.1039/c6fo01810f.
- Shanahan F, van Sinderen D, O'Toole PW, Stanton C. Feeding the microbiota: transducer of nutrient signals for the host. Gut. 2017 Sep;66(9):1709-1717. doi: 10.1136/gutjnl-2017-313872. Epub 2017 Jun 29.
- Vauzour D, Rodriguez-Mateos A, Corona G, Oruna-Concha MJ, Spencer JP. Polyphenols and human health: prevention of disease and mechanisms of action. Nutrients. 2010 Nov;2(11):1106-31. doi: 10.3390/nu2111106. Epub 2010 Nov 8.
- Mullan A, Delles C, Ferrell W, Mullen W, Edwards CA, McColl JH, Roberts SA, Lean ME, Sattar N. Effects of a beverage rich in (poly)phenols on established and novel risk markers for vascular disease in medically uncomplicated overweight or obese subjects: A four week randomized placebo-controlled trial. Atherosclerosis. 2016 Mar;246:169-76. doi: 10.1016/j.atherosclerosis.2016.01.004. Epub 2016 Jan 6.
- Aguirre L, Fernandez-Quintela A, Arias N, Portillo MP. Resveratrol: anti-obesity mechanisms of action. Molecules. 2014 Nov 14;19(11):18632-55. doi: 10.3390/molecules191118632.
- Chrubasik C, Li G, Chrubasik S. The clinical effectiveness of chokeberry: a systematic review. Phytother Res. 2010 Aug;24(8):1107-14. doi: 10.1002/ptr.3226.
- Morkl S, Lackner S, Muller W, Gorkiewicz G, Kashofer K, Oberascher A, Painold A, Holl A, Holzer P, Meinitzer A, Mangge H, Holasek S. Gut microbiota and body composition in anorexia nervosa inpatients in comparison to athletes, overweight, obese, and normal weight controls. Int J Eat Disord. 2017 Dec;50(12):1421-1431. doi: 10.1002/eat.22801. Epub 2017 Nov 13.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- ESANII
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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