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| ID | Type | Description | Link |
|---|---|---|---|
| 101080788 | Other Grant/Funding Number | Horizon Europe |
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| Name | Class |
|---|---|
| Medical University of Vienna | OTHER |
| Københavns Universitet | OTHER |
| Erasmus Medical Center | OTHER |
| University of Vienna |
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Night shift work is associated with an increased risk of obesity, insulin resistance, and cardiometabolic disorders, largely due to circadian misalignment, disrupted sleep, and altered eating patterns. These behavioral and physiological disturbances impair glucose metabolism and are further influenced by the gut microbiota. In particular, the bacterium Akkermansia muciniphila has been linked to improved metabolic health, including enhanced insulin sensitivity, lipid regulation, and maintenance of intestinal barrier integrity. Berberine, a bioactive plant-derived compound, has demonstrated metabolic benefits, including upregulation of A. muciniphila, improvement of insulin sensitivity, and modulation of lipid metabolism.
Together, these complementary mechanisms suggest that combined A. muciniphila supplementation and berberine administration may synergistically improve metabolic health in shift workers by targeting gut microbiota composition and circadian-regulated metabolic pathways.
Based on this rationale, a double-blind, randomized, placebo-controlled, crossover study is being conducted in 200 night-shift workers from healthcare and industrial sectors in Austria and Denmark. Participants are stratified by age, sex, and work sector and randomly assigned to intervention sequences. Each participant receives either the combined supplement or placebo for 12 weeks, followed by a four-week washout, after which the alternate intervention is administered for another 12 weeks, with a total participation of 28 weeks.
Assessments are performed at four study visits and include anthropometry, body composition, blood pressure, and collection of blood, urine, and feces. Participants complete validated questionnaires on dietary intake, lifestyle, work schedules, and general health to monitor behavioral patterns throughout the study. Dietary intake is recorded for four days prior to each sampling visit in consideration of shift schedules. Sleep duration and quality are monitored via diaries and actigraphy and aligned with dietary records. Circadian variation is minimized by standardizing sampling times and implementing a fasting and synchronization period prior to visits.
The primary outcome is insulin sensitivity, measured by HOMA-IR. Secondary exploratory outcomes include gut microbiota composition and diversity, biomarkers of intestinal permeability and inflammation, lipid profiles, body composition, sleep quality, and dietary behavior.
These measures collectively provide a comprehensive evaluation of the metabolic, microbiome, and circadian effects of combined A. muciniphila and berberine supplementation in night-shift workers.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AB Group | Experimental | Participants will first receive Verum (A) for 3 months. After a 4-week washout period, they will receive Placebo (B) for 3 months. |
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| BA Group | Experimental | Participants will first receive Placbo (B) for 3 months. After a 4-week washout period, they will receive Verum (A) for 3 months. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Verum (A) | Dietary Supplement | 1 capsule of A. muciniphila (pasteurized, initial quantity of 10^30 TFU, heat inactivated) and 1 capsule of 500 mg berberine hydrochloride per day. |
| Measure | Description | Time Frame |
|---|---|---|
| Change of 3-months supplementation with A. muciniphila and berberine on insulin resistance using HOMA-IR compared to placebo | Homeostasis Model Assessment of Insulin Resistance, calculated as (fasting insulin (μU/ml) x fasting glucose (mmol/l)) / 22.5, will be assessed to calculate the change between baseline and endpoint in the two periods | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Measure | Description | Time Frame |
|---|---|---|
| Change in gut microbiom composition between the baseline and endpoint change in the two periods | Gene sequencing of the 16S rRNA is performed on the stool samples to compare microbiota diversity and relative abundance | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in FABPi between the baseline and endpoint change in the two periods |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Miriam Ressler, PhD | Contact | +4331654536677 | miriam.ressler@fh-joanneum.at |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| FH JOANNEUM University of Applied Sciences | Recruiting | Graz | Styria | 8020 | Austria |
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| OTHER |
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| Placebo (B) | Dietary Supplement | 1 capsule of A. muciniphila placebo and 1 capsule of berberine placebo (both identical to verum regarding the shape, size, colour, and matched in excipients) per day. |
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Measurement of FABP intestinal (FABPi) in blood (pg/mL) |
| At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in zonulin between the baseline and endpoint change in the two periods | Measurement of zonulin in blood (ng/mL) | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in LPB between the baseline and endpoint change in the two periods | Measurement of lipopolysaccharide-binding protein (LPB) in blood (pg/mL) | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in CRP between the baseline and endpoint change in the two periods | Analysis of high-sensitive C-reactive protein (hs-CRP, mg/L) in blood | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in stool short-chain fatty acids (SCFA) between the baseline and endpoint change in the two periods | SCFA will be extracted and quantitatively analysed by GC-MS (µmol/g) | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in blood lipid profile and cardiovascular markers between the baseline and endpoint change in the two periods | Measurement of cholesterol (mmol/L), low-density lipoprotein cholesterol (LDL-C, mmol/L), high-density lipoprotein (HDL-C, mmol/L), and triglyceride levels (TG, mmol/L) in blood | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in blood pressure between the baseline and endpoint change in the two periods | Systolic BP (mmHG) and diastolic BP (mmHG) | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in melatonin between the baseline and endpoint change in the two periods | 6-sulfatoxymelatonin in urine (µg/L) | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in BMI between the baseline and endpoint change in the two periods | Body mass index (BMI) | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in body composition between the baseline and endpoint change in the two periods | Bioelectrical Impedance Analysis (BIA) | At the beginning and the end of each intervention period (week 0, 12, 16, 28) |
| Change in metabolomics at the end of the two periods | Metabolomic profiles obtained with LC-MS/MS | At the beginning and the end of each intervention period (week 12, week 28) |
| ID | Term |
|---|---|
| D009765 | Obesity |
| D050177 | Overweight |
| D021081 | Chronobiology Disorders |
| D011236 | Prediabetic State |
| D007333 | Insulin Resistance |
| D018149 | Glucose Intolerance |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D009422 | Nervous System Diseases |
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D006946 | Hyperinsulinism |
| D006943 | Hyperglycemia |
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