» Articles » PMID: 33567701

Effects of Synbiotic Supplementation on Chronic Inflammation and the Gut Microbiota in Obese Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Study

Overview
Journal Nutrients
Date 2021 Feb 11
PMID 33567701
Citations 36
Authors
Affiliations
Soon will be listed here.
Abstract

The aim of this study was to investigate the effects of 24-week synbiotic supplementation on chronic inflammation and the gut microbiota in obese patients with type 2 diabetes. We randomized 88 obese patients with type 2 diabetes to one of two groups for 24 weeks: control or synbiotic ( strain Shirota (previously strain Shirota) and strain Yakult, and galactooligosaccharides). The primary endpoint was the change in interleukin-6 from baseline to 24 weeks. Secondary endpoints were evaluation of the gut microbiota in feces and blood, fecal organic acids, high-sensitivity C-reactive protein, lipopolysaccharide-binding protein, and glycemic control. Synbiotic administration for 24 weeks did not significantly affect changes in interleukin-6 from baseline to 24 weeks (0.35 ± 1.99 vs. -0.24 ± 1.75 pg/mL, respectively). Relative to baseline, however, at 24 weeks after synbiotic administration there were positive changes in the counts of and total lactobacilli, the relative abundances of species such as and , and the concentrations of acetic and butyric acids in feces. No significant changes in inflammatory markers were found in the synbiotic group compared to the control group. However, synbiotic administration at least partially improved the gut environment in obese patients with type 2 diabetes.

Citing Articles

Gerobiotics: Exploring the Potential and Limitations of Repurposing Probiotics in Addressing Aging Hallmarks and Chronic Diseases.

Mahamud A, Tanvir I, Kabir M, Samonty I, Chowdhury M, Rahman M Probiotics Antimicrob Proteins. 2025; .

PMID: 40029460 DOI: 10.1007/s12602-025-10501-w.


Exploring Inflammatory Changes in the Peripheral Blood of Type 2 Diabetes Mellitus in China.

Li D, Zhang Z, Li W, Zhao C, Li X, Pan Z J Inflamm Res. 2025; 18:1679-1688.

PMID: 39925936 PMC: 11806746. DOI: 10.2147/JIR.S501105.


Impact of Gut Microbiome Interventions on Glucose and Lipid Metabolism in Metabolic Diseases: A Systematic Review and Meta-Analysis.

Mederle A, Dima M, Stoicescu E, Capastraru B, Levai C, Hategan O Life (Basel). 2024; 14(11).

PMID: 39598283 PMC: 11595434. DOI: 10.3390/life14111485.


Effectiveness and safety study of formula containing probiotics, prebiotics, synbiotics on fullterm infants' growth - a systematic review and meta-analysis of randomized controlled study.

Qian J, Fang Z, Chang S, Zeng Z, Zhang J Eur J Clin Nutr. 2024; .

PMID: 39448812 DOI: 10.1038/s41430-024-01506-9.


Insights into Gut Dysbiosis: Inflammatory Diseases, Obesity, and Restoration Approaches.

Acevedo-Roman A, Pagan-Zayas N, Velazquez-Rivera L, Torres-Ventura A, Godoy-Vitorino F Int J Mol Sci. 2024; 25(17).

PMID: 39273662 PMC: 11396321. DOI: 10.3390/ijms25179715.


References
1.
Fujimoto J, Matsuki T, Sasamoto M, Tomii Y, Watanabe K . Identification and quantification of Lactobacillus casei strain Shirota in human feces with strain-specific primers derived from randomly amplified polymorphic DNA. Int J Food Microbiol. 2008; 126(1-2):210-5. DOI: 10.1016/j.ijfoodmicro.2008.05.022. View

2.
Tolhurst G, Heffron H, Lam Y, Parker H, Habib A, Diakogiannaki E . Short-chain fatty acids stimulate glucagon-like peptide-1 secretion via the G-protein-coupled receptor FFAR2. Diabetes. 2011; 61(2):364-71. PMC: 3266401. DOI: 10.2337/db11-1019. View

3.
De Vadder F, Kovatcheva-Datchary P, Goncalves D, Vinera J, Zitoun C, Duchampt A . Microbiota-generated metabolites promote metabolic benefits via gut-brain neural circuits. Cell. 2014; 156(1-2):84-96. DOI: 10.1016/j.cell.2013.12.016. View

4.
Mohamadshahi M, Veissi M, Haidari F, Shahbazian H, Kaydani G, Mohammadi F . Effects of probiotic yogurt consumption on inflammatory biomarkers in patients with type 2 diabetes. Bioimpacts. 2014; 4(2):83-8. PMC: 4097976. DOI: 10.5681/bi.2014.007. View

5.
Matsuda K, Tsuji H, Asahara T, Kado Y, Nomoto K . Sensitive quantitative detection of commensal bacteria by rRNA-targeted reverse transcription-PCR. Appl Environ Microbiol. 2006; 73(1):32-9. PMC: 1797142. DOI: 10.1128/AEM.01224-06. View