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Current Diabetes Reviews May 2024Plants are used in medicine because they are low-cost, widely available, and have few side effects (compared to pharmacological treatment). Plants have phytocompounds...
BACKGROUND
Plants are used in medicine because they are low-cost, widely available, and have few side effects (compared to pharmacological treatment). Plants have phytocompounds with antidiabetic properties that can be delivered using nanoparticles (NPs).
OBJECTIVE
To describe the antidiabetic properties of green synthesized NPs (GSNPs) and their characterization methods.
METHODS
Three databases were searched using the terms "type 2 diabetes mellitus," "antidiabetic effects," "phytochemicals," "plants," and "nanoparticles." Studies describing the antidiabetic effects (in vitro or animal models) of NPs synthesized by plant extracts and characterizing them through UV-Vis spectroscopy, FTIR, XRD, SEM, TEM, and DLS were included.
RESULTS
16 studies were included. In vitro studies reported enzyme inhibition values between 11% (H. polyrhizus) and 100% (A. concinna) for alfa-amylase and between 41.1% (M. zapota) and 100% (A. concinna) for alfa-glucosidase. Animal studies with Wistar Albino rats having diabetes (induced by alloxan or streptozotocin) reported improved blood glucose, triglycerides, total cholesterol, LDL, and HDL after treatment with GSNPs. Regarding characterization, NP sizes were measured with DLS (25-181.5 nm), SEM (52.1-91 nm), and TEM (8.7-40.6 nm). The surface charge was analyzed with zeta potential (-30.7 to -2.9 mV). UV-Vis spectroscopy was employed to confirm the formations of AgNPs (360-460 nm), AuNPs (524-540 nm), and ZnONPs (300-400 nm), and FTIR was used to identify plant extract functional groups.
CONCLUSIONS
GSNP characterization (shape, size, zeta potential, and others) is essential to know the viability and stability, which are important to achieve health benefits for biomedical applications. Studies reported good enzyme inhibition percentages in in vitro studies, decreasing blood glucose levels and improving lipid profiles in animal models with diabetes. However, these studies had limitations in the methodology and potential risk of bias, so results need careful interpretation.
PubMed: 38778591
DOI: 10.2174/0115733998306451240425135229 -
Oral Diseases Oct 2023To analyze the use of salivary biomarkers to identify psychological disorders (anxiety, depression, and stress) in individuals with oral lichen planus (OLP). (Meta-Analysis)
Meta-Analysis
OBJECTIVE
To analyze the use of salivary biomarkers to identify psychological disorders (anxiety, depression, and stress) in individuals with oral lichen planus (OLP).
MATERIALS AND METHODS
The search was made in Medline/Pubmed, Scopus, Web of Science, Virtual Health Library, ProQuest, and by cross-reference. Original case-control, cross-sectional, and cohort studies, in human subjects (age ≥18 years) with clinical and histopathological diagnosis, with or without the use of psychometric scales, published until June 2021, were included. Random-effects meta-analyses, subgroup analyses, and sensitivity were performed. Publication bias was measured using the Egger test and visual inspection of the funnel plot.
RESULTS
A total of 67 articles were found, of which 12 were included in the meta-analysis. Among the different biomarkers identified, it was only possible to perform a meta-analysis for cortisol. The mean difference between salivary cortisol levels in patients with OLP compared to controls was 3.43 ng/ml (95% CI: 1.20-5.65) with I = 98.9%. Studies considered outliers were removed and based on sensitivity analyses, results did not change, therefore, being stable.
CONCLUSION
The studies analyzed demonstrated that cortisol was the most quantified biomarker to identify psychological disorders; however, DHEA, IgA, adiponectin, and α-amylase were also evaluated.
Topics: Humans; Adolescent; Lichen Planus, Oral; Hydrocortisone; Cross-Sectional Studies; Saliva; Case-Control Studies; Biomarkers
PubMed: 36161740
DOI: 10.1111/odi.14385