ReviewIranian journal of basic medical sciences2023
Propolis and its constituents against cardiovascular risk factors including obesity, hypertension, atherosclerosis, diabetes, and dyslipidemia: A comprehensive review.
Review in Iranian journal of basic medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Suppressive effect of chrysin on macrophage LC3B autophagy through miR-204-5p in diabetic atherosclerosis.Scientific reports · 2026Article
- Propolis in Obesity and Related Metabolic Disorders: Mechanistic and Clinical Insights-A Scoping Review.Nutrients · 2026Article
- Propolis Supplementation and Metabolic Syndrome Components in Adults at Risk: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Health science reports · 2026Review
- Effects of propolis supplementation on blood glucose and lipid profiles in individuals with metabolic syndrome and type 2 diabetes: a systematic review and meta-analysis.Clinical nutrition research · 2026Article
- Molecular mechanism of obesity-related left ventricular systolic dysfunction in mice and application of ultrasonic strain detection technology.Journal of thoracic disease · 2025Article
- Dietary antioxidants and hypertension among menopausal women in Rafsanjan Cohort Study.Scientific reports · 2024Article
- The Effects of Propolis Consumption on Body Composition and Blood Pressure: A Systematic Review and Dose-Response Meta-Analysis.Current therapeutic research, clinical and experimental · 2024Review
- Unraveling the role of VLDL in the relationship between type 2 diabetes and coronary atherosclerosis: a Mendelian randomization analysis.Frontiers in cardiovascular medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular diseases (CVDs) are some of the major causes of death worldwide. The modern lifestyle elevates the risk of CVDs. CVDs have several risk factors such as obesity, dyslipidemia, atherosclerosis, hypertension, and diabetes. Using herbal and natural products plays a pivotal role in the treatment of different diseases such as CVDs, diabetes, and metabolic syndrome. Propolis, a natural resinous mixture, is made by honey bees. Its main components are phenolics and terpenoid compounds such as caffeic acid phenethyl ester, chrysin, and quercetin. In this review, multiple studies regarding the pharmacological impacts of propolis and its constituents with their related mechanisms of action against mentioned CVD risk factors have been discussed in detail. Here, we used electronic databases or search engines such as Scopus, Web of Science, Pubmed, and Google Scholar without time limitations. The primary components of propolis are phenolics and terpenoid compounds such as caffeic acid phenethyl ester, chrysin and quercetin. Propolis and its constituents have been found to exhibit anti-obesity, anti-hypertension, anti-dyslipidemic, anti-atherosclerosis, and anti-diabetic effects. The vast majority of studies discussed in this review demonstrate that propolis and its constituents could have therapeutic effects against mentioned CVD risk factors via several mechanisms such as antioxidant, anti-inflammatory, reducing adipogenesis, HMG-CoA reductase inhibitory effect, inhibition of the ACE, increasing insulin secretion, NO level, etc.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.