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Obesity and metabolic syndrome are linked by inflammation. Gut flora seems to play an important role in the development of inflammation and metabolic syndrome in obesity. Modulation of gut flora by probiotics has been shown in animal studies to positively influence inflammation and metabolic disturbances.
Lactobacillus casei Shirota is able to decrease metabolic endotoxemia by altering gut flora composition and gut permeability which leads to an improvement in neutrophil function and insulin resistance in obesity.
The aim of the current study is to investigate the effect of Lactobacillus casei Shirota supplementation over 12 weeks on neutrophil function (phagocytosis, oxidative burst and TLR expression) in patients with metabolic syndrome.
Furthermore the investigators aim to investigate the effect of Lactobacillus casei Shirota supplementation over 12 weeks on glucose tolerance, insulin resistance, inflammation, gut flora composition, gut permeability, and endotoxemia in metabolic syndrome
Obesity and metabolic disorders (type 2 diabetes and insulin resistance) are tightly linked to inflammation. Obesity, a pandemic affecting 30-50% of the adult population, is mediated by a variety of genetic and environmental factors. It is well described that cytokines cause insulin resistance which causes hyperinsulinemia and excessive fat storage in adipose tissue and the liver. However, the triggering factor, linking inflammation to metabolic syndrome has not been fully elucidated yet.
Recently it has been hypothesized that the gut flora is an important factor in this vicious cycle of obesity, metabolic disease and inflammation. Firstly, metabolic activities of the gut microbiota facilitates the extraction of calories from ingested dietary substances and helps to store these calories in host adipose tissue for later use. Second, the gut bacterial flora of obese mice and humans include fewer Bacteroidetes and correspondingly more Firmicutes than that of their lean counterparts, suggesting that differences in caloric extraction of ingested food substances may be due to the composition of the gut microbiota. Furthermore, bacterial lipopolysaccharide derived from the intestinal microbiota may trigger inflammation, linking it to high-fat diet-induced metabolic syndrome. High-fat diet induces insulin resistance and oxidative stress in mice and is associated with increased gut permeability. high fat diet induces a low-grade endotoxemia in mice ("metabolic endotoxemia) and infusing endotoxin causes weight gain and insulin resistance. This has also been shown in humans, where patients with fatty liver had a susceptibility to higher gut permeability, possibly causing increased endotoxin levels.
Endotoxin and Lipopolysaccharide-binding protein (LBP) is elevated in obese patients, patients with type 2 diabetes and patients with liver steatosis. Endotoxin causes a significant increase in proinflammatory cytokine production in adipocytes via a TLR mediated pathway, contribution to the proinflammatory state in obesity. Endotoxin levels correlate with adiponectin and insulin suggesting a pathophysiological link between obesity, inflammation and metabolic disease.
As described above, endotoxin is related to increased inflammation and oxidative stress, causing insulin resistance. Adipocytes have been shown to play a dynamic role in regulation of inflammation by producing cytokines via a Toll-like receptor (TLR)/Nuclear Factor kappa B (NFkB) mediated pathway.But not only adipocytes are in a proinflammatory state - also circulating mononuclear cells have been described to be activated. Clinical evidence suggests immune dysfunction in obesity, since obese patients are more prone to infections after surgery, higher incidence of lower respiratory infection which is also underlined by impairment of cell-mediated immune responses in vivo and in vitro and a reduced intracellular killing by neutrophils.
A similar situation has been recently described in alcoholic cirrhosis and alcoholic hepatitis, which is also a proinflammatory condition with impaired innate immunity, leading to infection. Endotoxin has been described as a key mediator and inadequate activation of neutrophils leading to high oxidative burst and energy depletion of the cells with consecutive impaired phagocytic capacity has been described.
The most effective therapy of obesity - weight loss - leads to significant improvement of mononuclear cell activation. However, there is no data available on the effect of weight loss on gut flora, gut permeability and endotoxin.
Since weight loss is usually very hard to achieve, other therapeutic strategies have been tested. Since gut flora seems to be crucial in the development of the vicious cycle of obesity, inflammation and metabolic disease, several studies tried to modify the composition of gut microbiota. In mice treatment with antibiotics improved glucose tolerance by altering expression of genes involved in inflammation and metabolism. A similar result was found in mice treated with a probiotic that increases the number of Bifidobacterium spp., which leads to improved glucose tolerance, insulin secretion and a decrease in inflammatory tone. Finally treatment of mice with a probiotic decreased hepatic insulin resistance via a C-Jun N-terminal Kinase (JNK) and NFkB pathway, supporting the concept that intestinal bacteria induce endogenous signals that play a pathogenic role in hepatic insulin resistance.
Among the vast amount of bacteria described to alter gut flora and exert positive effects on the host, we have chosen to study Lactobacillus casei Shirota several reasons: Firstly this commercially available preparation delivers a high bacterial number in a relatively small volume and is available as a palatable milk drink. Furthermore Lactobacillus casei Shirota has been proven to survive the passage through the stomach and is present in the lower intestinal tract. It has also been shown that this bacterial strain can increases the amount of Lactobacilli and decreases the number of gram-negative organisms in the bacterial flora. This bacterial strain has been shown to be effective in modulating natural killer cell function and neutrophil function.
We hypothesize that Lactobacillus casei Shirota is able to decrease metabolic endotoxemia by altering gut flora composition and gut permeability which leads to an improvement in neutrophil function and insulin resistance in obesity
Specific Aims:
Plan of investigations:
Patients:
30 Patients with metabolic syndrome and increased gut permeability will be randomized to either receive food supplementation with a milk drink containing Lactobacillus casei Shirota (3 bottles a day, 65 ml each, containing Lactobacillus casei Shirota at a concentration of 10^8 colony forming units/ml) for twelve weeks or standard medical therapy.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | No Intervention | Usual care | |
| Lactobacillus casei Shirota | Experimental | 3 bottles of Yakult(R) light per day |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Lactobacillus casei Shirota | Dietary Supplement | 3 bottles of Yakult(R) light per day |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change of Neutrophil Phagocytosis From Baseline to 3 Months | The Phagotest® (Orpegen Pharma, Heidelberg, Germany) is used to measure phagocytosis by using Fluorescein isothiocyanate (FITC)-labelled opsonized E. coli bacteria. | 3 months |
| Change of Burst (%) From Baseline to 3 Months | The Phagotest® (Orpegen Pharma, Heidelberg, Germany) is used to measure phagocytosis by using FITC-labelled opsonized E. coli bacteria. The Phagoburst® kit (Orpegen Pharma, Heidelberg, Germany) is used to determine the percentage of neutrophils that produce reactive oxidants with or without stimulation. | 3 months |
| Measure | Description | Time Frame |
|---|---|---|
| Change in Indices of Glucose Tolerance and Insulin Resistance | change in indices of glucose tolerance and insulin resistance (frequently sampled in an oral glucose tolerance test) at baseline and after 3 months Homeostasis model assessment (HOMA)- Insulin Resistance (IR): HOMA is calculated by [fasting glucose*fasting insulin/22.5] insulin (U/L), glucose (mmol/l) - higher values indicating more severe insulin resistance Quantitativer Insulin Sensitivitäts-Check Index (QUCIKI): QUICKI is calculated by [1/log (insulin0)+log(glucose0)] insulin (mU/L), glucose (mg/dL) - lower values indicating a improvement of insulin sensitivity Insulin Sensitivity Index (ISI): 0.222-00333*BMI - 0.0000779*Ins120 -0.0004222*age insulin (mU/L) lower values indicating a improvement of insulin sensitivity |
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Inclusion Criteria:
Age >18
Informed consent
Fasting blood glucose >95mg/dL
Metabolic syndrome defined by the National Cholesterol Education Program (NCEP) Adult Treatment Panel-III (ATP-III) -ATPIII criteria (3 out of 5)
HbA1C ≤7.0%
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Vanessa Stadlbauer-Köllner, MD | Dept. of Internal Medicine, Medical University of Graz, Austria | Principal Investigator |
| Harald Sourij, MD | Dept. of Internal Medicine, Medical University of Graz, Austria | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dept. of Internal Medicine, Medical University of Graz | Graz | 8036 | Austria |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26509793 | Derived | Stadlbauer V, Leber B, Lemesch S, Trajanoski S, Bashir M, Horvath A, Tawdrous M, Stojakovic T, Fauler G, Fickert P, Hogenauer C, Klymiuk I, Stiegler P, Lamprecht M, Pieber TR, Tripolt NJ, Sourij H. Lactobacillus casei Shirota Supplementation Does Not Restore Gut Microbiota Composition and Gut Barrier in Metabolic Syndrome: A Randomized Pilot Study. PLoS One. 2015 Oct 28;10(10):e0141399. doi: 10.1371/journal.pone.0141399. eCollection 2015. | |
| 22872030 |
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Thirty-five subjects were screened for the study between January and August 2010; 30 patients were finally included, whereof 28 finished the study (2 dropped out due to withdrawal of informed consent). Five patients did not fulfill the inclusion criterion of fasting glucose above 100 mg/dl at the day of screening any more.
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| ID | Title | Description |
|---|---|---|
| FG000 | Control | Usual care |
| FG001 | Lactobacillus Casei Shirota | 3 bottles of Yakult(R) light per day Lactobacillus casei Shirota: 3 bottles of Yakult(R) light per day |
| Title | Milestones | Reasons Not Completed | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
|
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| ID | Title | Description |
|---|---|---|
| BG000 | Control | Usual care |
| BG001 | Lactobacillus Casei Shirota | 3 bottles of Yakult(R) light per day Lactobacillus casei Shirota: 3 bottles of Yakult(R) light per day |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Change of Neutrophil Phagocytosis From Baseline to 3 Months | The Phagotest® (Orpegen Pharma, Heidelberg, Germany) is used to measure phagocytosis by using Fluorescein isothiocyanate (FITC)-labelled opsonized E. coli bacteria. | Posted | Mean | Standard Deviation | percentage of monocytes and granulocytes | 3 months |
|
Adverse events were collected for 3 months
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Control | Usual care | 0 |
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| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Flatulence | Gastrointestinal disorders | Systematic Assessment |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Norbert Tripolt | Medical University of Graz | +43 316 385 | 78038 | norbert.tripolt@medunigraz.at |
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| ID | Term |
|---|---|
| D024821 | Metabolic Syndrome |
| ID | Term |
|---|---|
| D007333 | Insulin Resistance |
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
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| 3 months |
| Change of Gut Permeability From Baseline to 3 Months | Change of gut permeability (lactulose/mannitol-test) from Baseline to 3 months | 3 months |
| Change in oxLDL (Oxidative Low Density Lipoprotein) From Baseline to 3 Months | 3 months |
| Change in Interleukin-6 (IL-6) From Baseline to 3 Months | 3 months |
| Change in Interleukin-10 (IL-10) From Baseline to 3 Months | 3 months |
| Derived |
| Leber B, Tripolt NJ, Blattl D, Eder M, Wascher TC, Pieber TR, Stauber R, Sourij H, Oettl K, Stadlbauer V. The influence of probiotic supplementation on gut permeability in patients with metabolic syndrome: an open label, randomized pilot study. Eur J Clin Nutr. 2012 Oct;66(10):1110-5. doi: 10.1038/ejcn.2012.103. Epub 2012 Aug 8. |
| BG002 | Total | Total of all reporting groups |
| years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Units | Counts |
|---|
| Participants |
|
|
| Primary | Change of Burst (%) From Baseline to 3 Months | The Phagotest® (Orpegen Pharma, Heidelberg, Germany) is used to measure phagocytosis by using FITC-labelled opsonized E. coli bacteria. The Phagoburst® kit (Orpegen Pharma, Heidelberg, Germany) is used to determine the percentage of neutrophils that produce reactive oxidants with or without stimulation. | Posted | Mean | Standard Deviation | percent | 3 months |
|
|
|
| Secondary | Change in Indices of Glucose Tolerance and Insulin Resistance | change in indices of glucose tolerance and insulin resistance (frequently sampled in an oral glucose tolerance test) at baseline and after 3 months Homeostasis model assessment (HOMA)- Insulin Resistance (IR): HOMA is calculated by [fasting glucose*fasting insulin/22.5] insulin (U/L), glucose (mmol/l) - higher values indicating more severe insulin resistance Quantitativer Insulin Sensitivitäts-Check Index (QUCIKI): QUICKI is calculated by [1/log (insulin0)+log(glucose0)] insulin (mU/L), glucose (mg/dL) - lower values indicating a improvement of insulin sensitivity Insulin Sensitivity Index (ISI): 0.222-00333*BMI - 0.0000779*Ins120 -0.0004222*age insulin (mU/L) lower values indicating a improvement of insulin sensitivity | Posted | Mean | Standard Deviation | no unit - indices | 3 months |
|
|
|
| Secondary | Change of Gut Permeability From Baseline to 3 Months | Change of gut permeability (lactulose/mannitol-test) from Baseline to 3 months | Posted | Mean | Standard Deviation | ratio | 3 months |
|
|
|
| Secondary | Change in oxLDL (Oxidative Low Density Lipoprotein) From Baseline to 3 Months | Posted | Mean | Standard Deviation | mU/mL | 3 months |
|
|
|
| Secondary | Change in Interleukin-6 (IL-6) From Baseline to 3 Months | Posted | Median | Inter-Quartile Range | pg/mL | 3 months |
|
|
|
| Secondary | Change in Interleukin-10 (IL-10) From Baseline to 3 Months | Posted | Median | Inter-Quartile Range | pg/mL | 3 months |
|
|
|
| 15 |
| 0 |
| 15 |
| 0 |
| 15 |
| EG001 | Lactobacillus Casei Shirota | 3 bottles of Yakult(R) light per day Lactobacillus casei Shirota: 3 bottles of Yakult(R) light per day | 0 | 13 | 0 | 13 | 2 | 13 |
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| D009750 |
| Nutritional and Metabolic Diseases |
| Insulin sensitivity index (ISI) |
|