The effects of purslane consumption on glycemic control and oxidative stress: A systematic review and dose-response meta-analysis.
Naser JafariNargeskhatoon ShoaibinobarianAzadeh DehghaniAmirhosein RadSeyedeh Nooshan MirmohammadaliMohammad Javad AlaeianYasaman HamediMohamad ZamaniMohammad Ali GoudarziOmid AsbaghiPublished in: Food science & nutrition (2023)
Purslane ( Portulaca oleracea L .) is a herbal remedy with wide range of pharmaceutic properties. Although the beneficial effect of purslane on the treatment of Type 2 Diabetes Mellitus (T2DM) has been shown, there is an inconsistency among the results of previous studies. Therefore, this study is aimed at conducting a systematic review and meta-analysis on the effect of purslane on glycemic profile and oxidative stress markers. A systematic search was performed in the Scopus, Web of science, PubMed and the Cochrane Library to find articles related to the effect of the purslane on Malondialdehyde (MDA) and Total Antioxidant Capacity (TAC), Fasting Blood Sugar (FBS), Hemoglobin A1c (HbA1c), insulin resistance, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) up to September 2022. Among the 611 initial studies that were identified from searching electronic databases, 16 Randomized Clinical Trials (RCTs) involving 1122 participants (557 cases and 565 controls) were included for data analysis. The results of random-effects modeling demonstrated that purslane consumption significantly reduced FBS ( p < .001), MDA ( p < .001) and increased TAC ( p < .001). However, purslane consumption did not affect HbA1c ( p < .109), fasting insulin ( p = .298) and HOMA-IR ( p = .382). Meta-analyses were performed using both the random- and fixed-effects model where appropriate, and I 2 index was used to evaluate the heterogeneity. This meta-analysis study suggests that purslane has beneficial effects on oxidative stress markers and glycemic parameter. Therefore, it may be a promising adjuvant therapy in T2DM because of its benefits and negligible adverse effects.
Keyphrases
- glycemic control
- insulin resistance
- type diabetes
- meta analyses
- oxidative stress
- systematic review
- blood glucose
- data analysis
- metabolic syndrome
- case control
- skeletal muscle
- dna damage
- weight loss
- polycystic ovary syndrome
- high fat diet
- randomized controlled trial
- machine learning
- public health
- diabetic rats
- induced apoptosis
- single cell
- breast cancer cells
- heat shock
- replacement therapy
- deep learning
- cell proliferation
- blood pressure