Effects of omega-3 supplementation on glucose and lipid metabolism in patients with gestational diabetes: A meta-analysis of randomized controlled trials
Abstract
AIM
We assessed whether omega-3 supplementation could improve glucose and lipid metabolism, insulin resistance, and inflammatory factors in individuals with gestational diabetes mellitus (GDM).
METHODS
In this meta-study, we used a random-effects or fixed-effects meta-analysis model to analyze the mean differences (MD) and corresponding 95 % confidence intervals (CI) before and after omega-3 and placebo supplementation, thus evaluating the effects of omega-3 on glucose and lipid metabolism, insulin resistance, and inflammatory factors.
RESULTS
Six randomized controlled trials (331 participants) were included in the meta-analysis. The levels of fasting plasma glucose (FPG) (WMD = -0.25 mmol/L; 95 % CI: -0.38, -0.12), fasting insulin (WMD = -17.13 pmol/L; 95 % CI: -27.95, -6.30), and homeostasis model of assessment-insulin resistance (WMD = -0.51; 95 % CI: -0.89, -0.12) were lower in the omega-3 group compared to their levels in the placebo group. The results of the analysis of lipid metabolism showed that triglycerides (WMD = -0.18 mmol/L; 95 % CI: -0.29, -0.08) and very low-density lipoprotein cholesterol (WMD = -0.1 mmol/L; 95 % CI: -0.16, -0.03) decreased in the omega-3 group, while high-density lipoproteins (WMD = 0.06 mmol/L; 95 % CI: 0.02, 0.10) increased. Compared to the placebo group, inflammatory factor serum C-reactive protein (SMD = -0.68 mmol/L; 95 % CI: -0.96, -0.39) decreased in the omega-3 group.
CONCLUSION
Omega-3 supplementation can decrease the levels of FPG…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 331 participants or records.
Read the paper
Related studies
- eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
- Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
- OptiType: precision HLA typing from next-generation sequencing data
- Nicotinic Cholinergic System and COVID-19: In Silico Identification of an Interaction between SARS-CoV-2 and Nicotinic Receptors with Potential Therapeutic Targeting Implications
- Saccharomyces cerevisiae cells have three Omega class glutathione S-transferases acting as 1-Cys thiol transferases
- Hemolysis at low blood flow rates: in-vitro and in-silico evaluation of a centrifugal blood pump
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.