The effects of resveratrol supplementation on PPARα, p16, p53, p21 gene expressions, and sCD163/sTWEAK ratio in patients with type 2 diabetes mellitus: A double-blind controlled randomized trial.
Omid ToupchianShima AbdollahiDong-Soo KwonJavad HeshmatiCain C T ClarkMohammad Hasan SheikhhaHossein FallahzadehHassan Mozaffari-KhosraviPublished in: Phytotherapy research : PTR (2021)
The present study sought to evaluate the effect of resveratrol supplementation on mRNA expression levels of peroxisome proliferator-activated receptor alpha (PPARα), p53, p21, p16, and serum levels of cluster of differentiation 163 (CD163) to TNF-like weak inducer of apoptosis (TWEAK) ratio in patients with type 2 diabetes. In this double-blind randomized controlled trial, 71 patients were randomly assigned to receive either 1,000 mg of trans-resveratrol or placebo (methyl cellulose) for 8 weeks. Expression levels of genes of interest, and serum levels of sCD163 and sTWEAK were assessed at baseline and at the end of the study. Resveratrol supplementation significantly increased mRNA expression levels of p53 and p21 genes, compared with the placebo group (fold change of p53 = 1.29, p = .04; fold change of p21 = 1.46, p = .006). However, no significant effect on expression levels of PPARα and p16 genes was observed after supplementation. In addition, resveratrol significantly reduced serum levels of sCD163/sTWEAK ratio compared with the placebo group (p = .003). Resveratrol supplementation resulted in significant changes in p53 and p21 genes expression, while serum levels of sCD163/sTWEAK ratio also improved in the resveratrol group, without any significant change in adjusted sCD163 levels. More research is needed to confirm the beneficial effects of resveratrol for patients with diabetes.
Keyphrases
- randomized controlled trial
- genome wide
- poor prognosis
- double blind
- genome wide identification
- end stage renal disease
- insulin resistance
- oxidative stress
- systematic review
- chronic kidney disease
- placebo controlled
- cell death
- bioinformatics analysis
- cell proliferation
- copy number
- ionic liquid
- cell cycle arrest
- silver nanoparticles