- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05738746
The Efficacy of Pasteurised Akkermansia Muciniphila in Healthy Medical Workers (MENTAkHEALTH)
The Effects of the Anti-inflammatory Microbe - Pasteurized Akkermansia Muciniphila (PAM) on Symptoms of Somatic and Mental Stress in Healthcare Professionals
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The Gut-brain-microbiota axis (GBMA) is a bi-directional pathway, both neuronal and biochemical, between the intestine and the Central Nervous System (CNS). The gut microbiota plays a central role in gut-brain communication. The composition of intestinal microbiota and its functions play an important role in the pathogenesis of disorders of gut-brain interaction - both within the digestive tract and in the brain.
Modulation of gut microbiota with the aid of probiotics, antibiotics, or germ-free feeding protocols significantly altered stressful event-induced behavioral outcomes in rodents. Moreover, the intake of various probiotics significantly improved stress-induced anxiety and depressive-like behaviors in mice. In humans, probiotics were also documented to display some beneficial effects on mental health, including alteration of emotional bias in healthy individuals, and alleviating stress and anxiety among stressed adults.
Psychobiotics are imposed with certain limitations related to their standardization and end-shelf-life product stability. Therefore, the use of postbiotics, which contain bacterial metabolites or other bacteria derived fragments are viewed as novel solutions and alternatives to use of standard probiotics. One of novel postbiotics of interest among scientists and clinicians is pasteurized Akkermansia muciniphila MucT (PAM).
Animal studies indicate that administration of Akkermansia muciniphila can ameliorate metabolic syndrome, obesity, diabetes, and inflammatory bowel disease in animals and has psychobiotic potential. Similar to live A. muciniphila, PAM could ameliorate several diseases as well. The mechanism of action of PAM - improving gut barrier integrity - suggests the potential use to reduce the negative effects of stress. Human studies shown that PAM is safety, what was confirmed in the Scientific Opinion of EFSA. Recently A. muciniphila was approved as the Novel Food.
A proof of concept study will be conducted to verify the hypothesis that PAM reduces the psychological and somatic effects of stress.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Zachodniopomorskie
-
Szczecin, Zachodniopomorskie, Poland, 70-210
- Pomeranian Medical University in Szczecin
-
Szczecin, Zachodniopomorskie, Poland, 71-240
- Center fo Medical Simulation
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Working in a high stress hospital department, like: emergency, trauma, intensive care, surgery, internal diseases;
- Written informed consent to participate in this study before any study-mandated procedure;
- Body mass index (BMI) ≥18.5 kg/m2 and ≤ 35 kg/m2;
- A willingness and motivation to follow the study protocol.
Exclusion Criteria:
- Diagnosis of autoimmune, neurological, immunocompromised, thyroid, inflammatory bowel diseases, irritable bowel syndrome, diabetes, cancer, and/or IgE-dependent allergy;
- Psychiatric comorbidities, including mental retardation, organic brain dysfunction, or addiction (except nicotine and caffeine), intake of antipsychotic and antidepressive drugs;
- Proton pump inhibitors usage;
- The use of antibiotics and/or probiotics 4 weeks prior to the study;
- Glucocorticosteroids and/or metformin treatment;
- Dietary supplementation (except for vitamin D) within the three months before screening;
- Specific restrictive (e.g. elimination, vegan, FODMAP, reduction) diet within the three months before screening;
- Significant changes in physical activity 4 weeks before the trial entry;
- Pregnancy or lactation;
- Significant GI surgery within the last 6 months prior to or planned during the study;
- Any other medication for management of IBS complaints like peppermint oil, bile acid binders;
- Lactose intolerance;
- Participation in another study during the last 30 days prior to and during the study;
- Any other reason for exclusion as per investigator's judgment, e.g. insufficient compliance with study procedures.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Pasteurized Akkermansia muciniphila
pasteurized A.muciniphila (Pasteurized, 3x10^10 bacteria per day) as supplement for 3 months,
|
PAM supplementation; packaging will be given to the subjects every one month during follow-up visits, with the instructions to take one dose every morning on an empty stomach
Other Names:
|
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Placebo Comparator: Placebo
placebo administered for 3 months once a day
|
PBO administration; packaging will be given to the subjects every one month during follow-up visits, with the instructions to take one dose every morning on an empty stomach
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Stress intensity
Time Frame: baseline
|
serum dehydroepiandrosterone sulfate (DHEAS) in blood
|
baseline
|
|
Stress intensity
Time Frame: 1 month
|
serum dehydroepiandrosterone sulfate (DHEAS) in blood
|
1 month
|
|
Stress intensity
Time Frame: 3 months
|
serum dehydroepiandrosterone sulfate (DHEAS) in blood
|
3 months
|
|
Cardiovascular marker of stressor intensity
Time Frame: baseline
|
blood pressure
|
baseline
|
|
Cardiovascular marker of stressor intensity
Time Frame: 1 month
|
blood pressure
|
1 month
|
|
Cardiovascular marker of stressor intensity
Time Frame: 3 months
|
blood pressure
|
3 months
|
|
Cardiovascular marker of stressor intensity
Time Frame: baseline
|
heart rate
|
baseline
|
|
Cardiovascular marker of stressor intensity
Time Frame: 1 month
|
heart rate
|
1 month
|
|
Cardiovascular marker of stressor intensity
Time Frame: 3 months
|
heart rate
|
3 months
|
|
Stress intensity
Time Frame: baseline
|
Perceived Stress Scale (PSS-10).
Individual scores on the PSS can range from 0 to 40 with higher scores indicating higher perceived stress.
|
baseline
|
|
Stress intensity
Time Frame: 1 month
|
Perceived Stress Scale (PSS-10).
Individual scores on the PSS can range from 0 to 40 with higher scores indicating higher perceived stress.
|
1 month
|
|
Stress intensity
Time Frame: 3 months
|
Perceived Stress Scale (PSS-10).
Individual scores on the PSS can range from 0 to 40 with higher scores indicating higher perceived stress.
|
3 months
|
|
Psychosocial working conditions
Time Frame: baseline
|
Copenhagen Psychosocial Questionnaire (COPSOQ).
The scales of the COPSOQ are formed by adding the points of the individual questions of the scales by giving equal weights to each question.
In most cases the questions have five response options.
In these cases the weights are: 0, 25, 50, 75, and 100.
The scale value is calculated as the simple average
|
baseline
|
|
Psychosocial working conditions
Time Frame: 1 month
|
Copenhagen Psychosocial Questionnaire (COPSOQ).
The scales of the COPSOQ are formed by adding the points of the individual questions of the scales by giving equal weights to each question.
In most cases the questions have five response options.
In these cases the weights are: 0, 25, 50, 75, and 100.
The scale value is calculated as the simple average
|
1 month
|
|
Psychosocial working conditions
Time Frame: 3 months
|
Copenhagen Psychosocial Questionnaire (COPSOQ).
The scales of the COPSOQ are formed by adding the points of the individual questions of the scales by giving equal weights to each question.
In most cases the questions have five response options.
In these cases the weights are: 0, 25, 50, 75, and 100.
The scale value is calculated as the simple average
|
3 months
|
|
The recognition of the most common mental disorders
Time Frame: baseline
|
Primary Care Evaluation of Mental Disorders (PRIME-MD).
The yes/no questionnaire serves as an initial screen for 5 general groups of mental disorders commonly found in the general population
|
baseline
|
|
The recognition of the most common mental disorders
Time Frame: 1 month
|
Primary Care Evaluation of Mental Disorders (PRIME-MD).
The yes/no questionnaire serves as an initial screen for 5 general groups of mental disorders commonly found in the general population
|
1 month
|
|
The recognition of the most common mental disorders
Time Frame: 3 months
|
Primary Care Evaluation of Mental Disorders (PRIME-MD).
The yes/no questionnaire serves as an initial screen for 5 general groups of mental disorders commonly found in the general population
|
3 months
|
|
Depression
Time Frame: baseline
|
Patient Health Questionnaire-9 (PHQ-9).
Nine items, each of which is scored 0 to 3, providing a 0 to 27 severity score.This score can then be referred to the accompanying PHQ-9 Scoring Box to interpret the TOTAL score.
|
baseline
|
|
Depression
Time Frame: 1 month
|
Patient Health Questionnaire-9 (PHQ-9).
Nine items, each of which is scored 0 to 3, providing a 0 to 27 severity score.This score can then be referred to the accompanying PHQ-9 Scoring Box to interpret the TOTAL score.
|
1 month
|
|
Depression
Time Frame: 3 months
|
Patient Health Questionnaire-9 (PHQ-9).
Nine items, each of which is scored 0 to 3, providing a 0 to 27 severity score.This score can then be referred to the accompanying PHQ-9 Scoring Box to interpret the TOTAL score.
|
3 months
|
|
Depressive state
Time Frame: baseline
|
The Beck Depression Inventory (BDI). When the test is scored, a value of 0 to 3 is assigned for each answer and then the total score is compared to a key to determine the depression's severity. The standard cut-off scores were as follows: 0-18: indicates minimal depression 18-30: indicates mild depression 19-29: indicates moderate depression 30-63: indicates severe depression. |
baseline
|
|
Depressive state
Time Frame: 1 month
|
The Beck Depression Inventory (BDI). When the test is scored, a value of 0 to 3 is assigned for each answer and then the total score is compared to a key to determine the depression's severity. The standard cut-off scores were as follows: 0-18: indicates minimal depression 18-30: indicates mild depression 19-29: indicates moderate depression 30-63: indicates severe depression. |
1 month
|
|
Depressive state
Time Frame: 3 months
|
The Beck Depression Inventory (BDI). When the test is scored, a value of 0 to 3 is assigned for each answer and then the total score is compared to a key to determine the depression's severity. The standard cut-off scores were as follows: 0-18: indicates minimal depression 18-30: indicates mild depression 19-29: indicates moderate depression 30-63: indicates severe depression. |
3 months
|
|
Anxiety and stress
Time Frame: baseline
|
Depression Anxiety Stress Scale 21 (DASS-21). This is a set of three self-report scales designed to measure the emotional states of depression, anxiety and stress. The rating scale is as follows: 0 - Did not apply to me at all
SUBSCALES: DASS_Anxiety = questions 2 + 4 + 7 + 9 + 15 + 19 + 20 DASS_Depression = questions 3 + 5 + 10 + 13 + 16 + 17 + 21 DASS_Stress = questions 1 + 6 + 8 + 11 + 12 + 14 +18 |
baseline
|
|
Anxiety and stress
Time Frame: 1 month
|
Depression Anxiety Stress Scale 21 (DASS-21). This is a set of three self-report scales designed to measure the emotional states of depression, anxiety and stress. The rating scale is as follows: 0 - Did not apply to me at all
SUBSCALES: DASS_Anxiety = questions 2 + 4 + 7 + 9 + 15 + 19 + 20 DASS_Depression = questions 3 + 5 + 10 + 13 + 16 + 17 + 21 DASS_Stress = questions 1 + 6 + 8 + 11 + 12 + 14 +18 |
1 month
|
|
Anxiety and stress
Time Frame: 3 months
|
Depression Anxiety Stress Scale 21 (DASS-21). This is a set of three self-report scales designed to measure the emotional states of depression, anxiety and stress. The rating scale is as follows: 0 - Did not apply to me at all
SUBSCALES: DASS_Anxiety = questions 2 + 4 + 7 + 9 + 15 + 19 + 20 DASS_Depression = questions 3 + 5 + 10 + 13 + 16 + 17 + 21 DASS_Stress = questions 1 + 6 + 8 + 11 + 12 + 14 +18 |
3 months
|
|
Occurrence of Irritable Bowel Syndrome
Time Frame: baseline
|
Rome IV criteria
|
baseline
|
|
Occurrence of Irritable Bowel Syndrome
Time Frame: 1 month
|
Rome IV criteria
|
1 month
|
|
Occurrence of Irritable Bowel Syndrome
Time Frame: 3 months
|
Rome IV criteria
|
3 months
|
|
Occurence and severity of gastrointestinal symptoms
Time Frame: baseline
|
Gastrointestinal Symptom Rating Scale (GSRS)
|
baseline
|
|
Occurence and severity of gastrointestinal symptoms
Time Frame: 1 month
|
Gastrointestinal Symptom Rating Scale (GSRS)
|
1 month
|
|
Occurence and severity of gastrointestinal symptoms
Time Frame: 3 months
|
Gastrointestinal Symptom Rating Scale (GSRS)
|
3 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Insulin resistance
Time Frame: 3 months
|
HOMA-Homeostasis Model Assessment calculated from fasted glycemia and insulinemia
|
3 months
|
|
Concentration of blood lipids
Time Frame: 3 months
|
Analysis of circulating lipids : total, LDL and HDL cholesterol (mg/dl), triglycerides (md/dl)
|
3 months
|
|
Obesity
Time Frame: 3 months
|
Body weight
|
3 months
|
|
Microbiota composition
Time Frame: baseline
|
next generation sequencing
|
baseline
|
|
Microbiota composition
Time Frame: 1 month
|
next generation sequencing
|
1 month
|
|
Microbiota composition
Time Frame: 3 months
|
next generation sequencing
|
3 months
|
|
A. muciniphila count in stool
Time Frame: baseline
|
real-time quantitative PCR (qPCR)
|
baseline
|
|
A. muciniphila count in stool
Time Frame: 1 month
|
real-time quantitative PCR (qPCR)
|
1 month
|
|
A. muciniphila count in stool
Time Frame: 3 months
|
real-time quantitative PCR (qPCR)
|
3 months
|
|
Total bacteria count in stool
Time Frame: baseline
|
real-time quantitative PCR (qPCR)
|
baseline
|
|
Total bacteria count in stool
Time Frame: 1 month
|
real-time quantitative PCR (qPCR)
|
1 month
|
|
Total bacteria count in stool
Time Frame: 3 months
|
real-time quantitative PCR (qPCR)
|
3 months
|
|
Short chain fatty acids content in stool
Time Frame: baseline
|
quadrupole mass spectrometer and high performance liquid chromatograph
|
baseline
|
|
Short chain fatty acids content in stool
Time Frame: 1 month
|
quadrupole mass spectrometer and high performance liquid chromatograph
|
1 month
|
|
Short chain fatty acids content in stool
Time Frame: 3 months
|
quadrupole mass spectrometer and high performance liquid chromatograph
|
3 months
|
|
Immune phenotypes of peripheral blood mononuclear cells (PBMCs)
Time Frame: baseline
|
single-cell genomics (scRNA-seq and scATAC-seq) analyses (in blood)
|
baseline
|
|
Immune phenotypes of peripheral blood mononuclear cells (PBMCs)
Time Frame: 1 month
|
single-cell genomics (scRNA-seq and scATAC-seq) analyses (in blood)
|
1 month
|
|
Immune phenotypes of peripheral blood mononuclear cells (PBMCs)
Time Frame: 3 months
|
single-cell genomics (scRNA-seq and scATAC-seq) analyses (in blood)
|
3 months
|
|
Inflammatory mediators concentrations in blood
Time Frame: baseline
|
high-throughput protein biomarker analysis with the advent of Proximity Extension Assay
|
baseline
|
|
Inflammatory mediators concentrations in blood
Time Frame: 1 month
|
high-throughput protein biomarker analysis with the advent of Proximity Extension Assay
|
1 month
|
|
Inflammatory mediators concentrations in blood
Time Frame: 3 months
|
high-throughput protein biomarker analysis with the advent of Proximity Extension Assay
|
3 months
|
|
Zonulin concentration in stool
Time Frame: baseline
|
enzyme-linked immunosorbent assay (ELISA)
|
baseline
|
|
Zonulin concentration in stool
Time Frame: 1 month
|
enzyme-linked immunosorbent assay (ELISA)
|
1 month
|
|
Zonulin concentration in stool
Time Frame: 3 months
|
enzyme-linked immunosorbent assay (ELISA)
|
3 months
|
|
Calprotectin concentration in stool
Time Frame: baseline
|
enzyme-linked immunosorbent assay (ELISA)
|
baseline
|
|
Calprotectin concentration in stool
Time Frame: 1 month
|
enzyme-linked immunosorbent assay (ELISA)
|
1 month
|
|
Calprotectin concentration in stool
Time Frame: 3 months
|
enzyme-linked immunosorbent assay (ELISA)
|
3 months
|
|
Lipopolysaccharide concentration in blood
Time Frame: baseline
|
enzyme-linked immunosorbent assay (ELISA)
|
baseline
|
|
Lipopolysaccharide concentration in blood
Time Frame: 1 month
|
enzyme-linked immunosorbent assay (ELISA)
|
1 month
|
|
Lipopolysaccharide concentration in blood
Time Frame: 3 months
|
enzyme-linked immunosorbent assay (ELISA)
|
3 months
|
|
Adiposity
Time Frame: baseline
|
Fat mass/fat free mass evaluated by bioimpedance
|
baseline
|
|
Adiposity
Time Frame: 1 month
|
Fat mass/fat free mass evaluated by bioimpedance
|
1 month
|
|
Adiposity
Time Frame: 3 months
|
Fat mass/fat free mass evaluated by bioimpedance
|
3 months
|
|
Obesity
Time Frame: baseline
|
Body weight
|
baseline
|
|
Obesity
Time Frame: 1 month
|
Body weight
|
1 month
|
|
Dietary habits
Time Frame: baseline
|
the frequency of certain food consumption (rank score) by means of validated Food Frequency Questionnaire (FFQ).
|
baseline
|
|
Physical activity
Time Frame: baseline
|
International Physical Activity Questionnaire.
Results can be reported in categories (low activity levels, moderate activity levels or high activity levels) or as a continuous variable (MET minutes a week).
|
baseline
|
|
Functions of peripheral blood mononuclear cells (PBMCs)
Time Frame: baseline
|
mass cytometry (CyTOF)
|
baseline
|
|
Functions of peripheral blood mononuclear cells (PBMCs)
Time Frame: 1 month
|
mass cytometry (CyTOF)
|
1 month
|
|
Functions of peripheral blood mononuclear cells (PBMCs)
Time Frame: 3 months
|
mass cytometry (CyTOF)
|
3 months
|
|
Insulin resistance
Time Frame: baseline
|
HOMA-Homeostasis Model Assessment calculated from fasted glycemia and insulinemia
|
baseline
|
|
Insulin resistance
Time Frame: 1 month
|
HOMA-Homeostasis Model Assessment calculated from fasted glycemia and insulinemia
|
1 month
|
|
carbohydrate metabolism
Time Frame: baseline
|
glycated hemoglobin (HbA1c)
|
baseline
|
|
carbohydrate metabolism
Time Frame: 1 month
|
glycated hemoglobin (HbA1c)
|
1 month
|
|
carbohydrate metabolism
Time Frame: 3 months
|
glycated hemoglobin (HbA1c)
|
3 months
|
|
Concentration of blood lipids
Time Frame: baseline
|
Analysis of circulating lipids : total, LDL and HDL cholesterol (mg/dl), triglycerides (md/dl)
|
baseline
|
|
Concentration of blood lipids
Time Frame: 1 month
|
Analysis of circulating lipids : total, LDL and HDL cholesterol (mg/dl), triglycerides (md/dl)
|
1 month
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Depommier C, Everard A, Druart C, Plovier H, Van Hul M, Vieira-Silva S, Falony G, Raes J, Maiter D, Delzenne NM, de Barsy M, Loumaye A, Hermans MP, Thissen JP, de Vos WM, Cani PD. Supplementation with Akkermansia muciniphila in overweight and obese human volunteers: a proof-of-concept exploratory study. Nat Med. 2019 Jul;25(7):1096-1103. doi: 10.1038/s41591-019-0495-2. Epub 2019 Jul 1.
- Schneeberger M, Everard A, Gomez-Valades AG, Matamoros S, Ramirez S, Delzenne NM, Gomis R, Claret M, Cani PD. Akkermansia muciniphila inversely correlates with the onset of inflammation, altered adipose tissue metabolism and metabolic disorders during obesity in mice. Sci Rep. 2015 Nov 13;5:16643. doi: 10.1038/srep16643.
- Druart C, Plovier H, Van Hul M, Brient A, Phipps KR, de Vos WM, Cani PD. Toxicological safety evaluation of pasteurized Akkermansia muciniphila. J Appl Toxicol. 2021 Feb;41(2):276-290. doi: 10.1002/jat.4044. Epub 2020 Jul 28.
- Cani PD, Depommier C, Derrien M, Everard A, de Vos WM. Akkermansia muciniphila: paradigm for next-generation beneficial microorganisms. Nat Rev Gastroenterol Hepatol. 2022 Oct;19(10):625-637. doi: 10.1038/s41575-022-00631-9. Epub 2022 May 31. Erratum In: Nat Rev Gastroenterol Hepatol. 2022 Oct;19(10):682. doi: 10.1038/s41575-022-00650-6.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
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
Keywords
Other Study ID Numbers
- 101095540
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
- Personal data will be pseudonymised and encrypted, and after the purpose of processing has ceased to exist, they will be deleted or made anonymous.
- Personal data will be processed in compliance with the technical and organizational measures referred to in Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 and the Data Protection Policy at PMU.
- Research data will be made available in the open research data repository, at the latest when the research article is published, after the end of its analysis.
- There are no restrictions or obstacles preventing full disclosure of data.
- Sharing data requires no consent of the study participants as for the anonymous character of the study
- Only data from sequencing analyzes will be stored indefinitely in the repository https://qiita.ucsd.edu/
- The remaining data will be deposited for a minimum of 10 years in the ZENODO repository
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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