MedPath

The Effect of Single Probiotic on Metabolic Control in Type 2 Diabetes

Not Applicable
Completed
Conditions
Diabetes Mellitus, Type 2
Interventions
Dietary Supplement: Placebo
Dietary Supplement: Lactobacillus rhamnosus GG (ATCC 53103)
Registration Number
NCT05066152
Lead Sponsor
Istanbul University
Brief Summary

Recent studies indicate that dysbiosis of intestinal microbiota and low grade inflammation are important pathogenic determinants of type 2 diabetes (T2DM), which has increased in epidemic size over the last 20 years. Probiotics have been used in T2DM for the modification of IM and anti-inflammatory effects. However, effect of probiotics on metabolic control in T2DM are inconsistent.

Present study will be designed to determine the effects of Lactobacillus GG (LGG) on glycemic control, lipid profile, inflammation parameters and expression of certain genes linked to T2DM. This study will be conducted at the Istanbul Faculty of Medicine, a tertiary care diabetes outpatient clinic and should involve 34 T2DM subjects. Subjects will be randomly assign to receive either LGG probiotic drop or a placebo.In this placebo controlled trial, effect of single strain probiotic vs. placebo on metabolic control and certain genes linked to T2DM will be assessed.

Detailed Description

Evidence-based data showed that intestinal microbiota (IM) plays a role in the development of metabolic diseases. Recent studies have reported that dysbiosis of IM and low-grade inflammation is effective in pathogenesis of type 2 diabetes mellitus (T2DM), which has increased in epidemic size over the last 20 years. Firmicutes, Bacteroidetes and Proteobacteria's ratios in obese and T2DM patients were found to be different than healthy subjects. In these cases, there is an association between increasing the proportion of gram-negative bacteria in the intestines and subclinical inflammation.

Probiotics are live microorganisms that are intended to have health benefits by regulating mucosal and systemic immunity, when consumed as a nutritional supplement. There are studies investigating the effects of probiotic use on insulin sensitivity, glycemic control, lipid profile and inflammatory parameters in patients with T2DM. However, several probiotic strains were used frequently in these studies, or probiotics and prebiotics were given as cocktails. Their effects might be together or even synergistic. Lactobacillus rhamnosus GG (or Lactobacillus GG: LGG) is a widely used probiotic microorganism. Studies have shown that LGG prevents diarrhea and atopic dermatitis, provides antitumor activity, improves the immune system, and lowers serum cholesterol levels. However, there is a limited data about the effects of LGG on the glycemic control of diabetic animal models but human studies are scarce.

Therefore, present study is designed to determine the effects of LGG on glycemic control, lipid profile, inflammation parameters, and expression of certain genes linked to T2DM.

Subjects will be randomly assign to receive probiotic "Lactobacillus Rhamnosus GG (ATCC 53103)" or placebo for 8-weeks administered as a drop formulation. Patients in the intervention group receive 10 probiotic drops (1x1010 cfu LGG) once daily with breakfast. Subjects will be contacted via telephone every week for an assessment of adverse events and probiotic/placebo compliance. Fasting blood samples will be taken at baseline and post treatment to measure carbohydrate metabolism (glucose, insulin, fructosamine and HbA1c), lipid profile (triglycerides; total, HDL- and LDL-cholesterol) and biomarkers of inflammation (hs-CRP and IL-6). TLR2, TLR4, MUC2 and MUC3A genes expressions will be investigated on stool samples at baseline and post treatment. Stool samples will be stored at -80°C until RNA isolation.The gene expression levels will be determined by Quantitative Real Time PCR method using the determined cDNA samples. Dietary intake will be evaluated by the 3-day food record. During the 4th and 8th week of the study, a 3 day food consumption records will be taken. Diabetics will be given detailed oral and written instructions regarding the completion of food record, consisting of 2 midweek days and 1 weekend day. In order to determine the amounts of consumed foods correctly, information will be given about measuring cups such as water glass, tea glass, teaspoon, tablespoon, serving spoon, bowl. Dietary intake will be assessed using a food composition database of BEBIS programme including specific Turkish foods. All anthropometric measures will be conducted in a fasting state taken at baseline and following an 8-week intervention by experienced examiner (dietitian). Body weight and body composition will be assessed by bioelectrical impedance analysis device (Tanita BC-420 MA). Body mass index (BMI) will be calculated as weight (kg) divided by height squared (m2). Waist circumference (measured midway between lowest rib and iliac crest) will be measured using a non-stretchable measuring tape.

All analysis will be performed using the Statistical Package for Social Sciences (SPSS) 21.0 package program and significance will defined as p\<0.05. Descriptive statistics will be given as mean, standard deviation and median (minimum to maximum) for continuous measures. Categorical variables will be expressed as case numbers and percentage values. The Shapiro-Wilk tests will used to determine whether the distribution of continuous measures are normal. Student's t test and Mann-Whitney-U test will used for the two groups comparisons according to whether the variables showed normal distribution. Comparisons of changes in groups within themselves (before and after probiotic or placebo administration) will made using the t-test if the variances is normal, and if the Wilcoxon test is not normal in the cohort. The web-based RT2 Profiler PCR Array Data Analysis program will used to determine the change of ΔCt values obtained from the Real Time-PCR gene expression study (before and after probiotic and placebo administration). p\<0.05 will be considered statistically significant.

Recruitment & Eligibility

Status
COMPLETED
Sex
Female
Target Recruitment
34
Inclusion Criteria
  • Clinical diagnosis of Type 2 Diabetes
  • Taking oral-antidiabetic medication
Exclusion Criteria
  • Smokers,
  • Alcohol drinkers,
  • Inflammatory bowel or autoimmune disease,
  • Immunodeficiency,
  • Using anti-epileptic, incretin enhancer (DPP-4 inhibitor), insulin or insulin analogs, dietary supplements
  • Systemic antibiotics within 6 weeks before inclusion
  • Use of probiotics within 3 months before inclusion
  • Breast-feeding or pregnancy

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
PlaceboPlaceboFor 8 weeks of interventional period, the patient received 10 probiotic drops (placebo) once daily at breakfast.
ProbioticLactobacillus rhamnosus GG (ATCC 53103)For 8 weeks of interventional period, the patient received 10 probiotic drops (1x1010 Cfu LGG) once daily at breakfast.
Primary Outcome Measures
NameTimeMethod
HbA1c8 weeks compared to baseline

HbA1c %

HOMA-IR8 weeks compared to baseline

HOMA-IR= Fasting plasma glucose (mg/dL) x Fasting plasma insulin (μU/mL)/405

Secondary Outcome Measures
NameTimeMethod
FatDuring 4th and 8th weeks

Fat intake, %

Dietary cholesterolDuring 4th and 8th weeks

Dietary cholesterol intake, gram

Triglycerides8 weeks compared to baseline

mg/dl

Weight8 weeks compared to baseline

body weight, kg

Lean body mass8 weeks compared to baseline

body lean body mass, kg

QUICKI8 weeks compared to baseline

1/ \[log (fasting plasma insulin (μU/mL)+log (fasting blood glucose (mg/dL)\] \[22, 23\].

TLR48 weeks compared to baseline

Toll-like receptor 4 gene expression

IL-68 weeks compared to baseline

pg/mL, Interleukin 6

TLR28 weeks compared to baseline

Toll-like receptor 2 gene expression

MUC28 weeks compared to baseline

Mucin 2 gene expression

EnergyDuring 4th and 8th weeks

Energy intake, kcal

ProteinDuring 4th and 8th weeks

Protein intake, %

CarbohydrateDuring 4th and 8th weeks

Carbohydrate intake, %

Fructosamine8 weeks compared to baseline

μmol/L

HDL-C8 weeks compared to baseline

mg/dl, HDL cholesterol

MUC3A8 weeks compared to baseline

Mucin 3A gene expression

WHR8 weeks compared to baseline

waist and hip ratio %

Fat mass8 weeks compared to baseline

body fat mass, %

Muscle mass8 weeks compared to baseline

body muscle mass, kg

Total body water8 weeks compared to baseline

% kg and %

Bone mass8 weeks compared to baseline

Body bone mass, kg

Basal metabolic rate8 weeks compared to baseline

Acoording to bioelectrical impedance analysis device, kcal

Dietary fiberDuring 4th and 8th weeks

Dietary fiber intake, gram

Fasting plasma glucose8 weeks compared to baseline

FPG in mg/dL

LDL-C8 weeks compared to baseline

mg/dl, LDL cholesterol

hs-CRP8 weeks compared to baseline

mg/dl, high sensitive c reactive protein

BMI8 weeks compared to baseline

body mass index, kg/m2

© Copyright 2025. All Rights Reserved by MedPath