Probiotics, synbiotics and berberine in Type 2 diabetes mellitus: A systematic review, meta-analysis, and molecular dynamics simulation study
Clinical Snapshot
PICO Framework
| P — Population | Adults with Type 2 diabetes mellitus |
| I — Intervention | Probiotics, synbiotics, or berberine supplementation |
| C — Comparator | Placebo or standard care |
| O — Outcomes | Fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) |
Bottom Line
This meta-analysis of over 30 trials involving 2,000+ participants found that probiotics, synbiotics, and berberine produce statistically significant but clinically modest improvements in glycemic control in Type 2 diabetes. The pooled reductions in fasting glucose (-0.71 mmol/L) and HbA1c (-0.19%) are small compared to conventional diabetes medications. Substantial heterogeneity between studies limits confidence in the pooled estimates. While these interventions appear safe and may provide marginal benefits as adjunctive therapy, they should not replace evidence-based primary treatments. The findings support their consideration as complementary options for patients seeking additional glycemic support, but clinicians should set realistic expectations about their modest therapeutic impact. Larger, standardized trials are needed to better define their role in diabetes management.
Key Findings
P Value: Statistically significant (exact values not provided)
Effect Size: FPG: -0.71 mmol/L; HbA1c: -0.19%
Primary Outcome: Fasting plasma glucose and HbA1c reduction
Nnt Or Sensitivity: Clinical significance limited - authors describe effects as 'modest'
Confidence Interval: Not reported in abstract
Clinical Application
High - probiotics and berberine are readily available supplements Relevant to Australian practice as complementary therapy; not PBS-listed but available as complementary medicines under TGA regulation Adults with Type 2 diabetes seeking adjunctive glycemic management
Abstract
BACKGROUND: Type 2 diabetes mellitus is characterized by impaired regulation of blood glucose. Probiotics, synbiotics, and berberine (BBR) have been proposed as adjunctive interventions, but their overall effectiveness remains uncertain. OBJECTIVE: To evaluate the effects of these interventions on glycemic control and to explore a potential molecular interaction of BBR with a key carbohydrate-digesting enzyme. METHODS: A systematic review and meta-analysis of randomized controlled trials was conducted. Pooled effects were estimated for fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) using random-effects models. A subgroup analysis compared probiotics with placebo. An exploratory computational analysis examined the interaction of BBR with α-glucosidase. RESULTS: More than 30 trials involving over 2,000 participants were included. The pooled analysis showed significant but modest reductions in FPG (-0.71 mmol·L ⁻ ¹) and HbA1c (-0.19%), with substantial between-study variability. Probiotics alone also reduced FPG (approximately -0.80 mmol·L ⁻ ¹) and HbA1c (approximately -0.21%) compared with placebo. Computational analysis indicated weaker enzyme binding for BBR than for the reference inhibitor acarbose. CONCLUSIONS: Probiotics, synbiotics, and BBR provide statistically significant but clinically modest improvements in glycemic control. These findings support their use as adjunctive, rather than primary, therapeutic options and highlight the need for larger and longer trials with standardized interventions. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251116387, identifier CRD420251116387.
References
- 1.Shadin, M., Bhuia, M. S., Alfaifi, M., Altemani, F. H., Altemani, A. H., Alsenani, F., Saleh, N., & Islam, M. T. (2026). Probiotics, synbiotics and berberine in Type 2 diabetes mellitus: A systematic review, meta-analysis, and molecular dynamics simulation study. PLoS One. https://doi.org/10.1371/journal.pone.0348907
Related Research
European journal of radiology
A CT-based deep learning model to differentiate between benign and malignant adrenal lesions
3 Aug 2026
Journal of chemical information and modeling
A Unified Molecular Graph and Protein Language Model Framework for Predicting Human Drug-Hormone Receptor Interactions with Structure-Aware Validation
28 July 2026
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Differential effects of hormone therapy formulations on Parkinson's disease risk: a systematic review and meta-analysis
23 July 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service