Antidiabetic potential of Musa spp. inflorescence: a systematic review.

OBJECTIVES: Extracts of parts Musa spp. have been used for the treatment of various diseases in traditional medicine. Studies have shown that these extracts have hypoglycaemic properties. The aim of this work was to gather evidence on the antidiabetic effects of Musa spp. inflorescence. METHODS: A systematic review was conducted with searches in three electronic databases, along with manual searches. Studies evaluating the antidiabetic properties of extracts of flower or bract of the genus Musa (in vitro or in vivo) were included. KEY FINDINGS: Overall, 16 studies were found. The reported assays were of hypoglycaemic effects, oral glucose tolerance, inhibitory activities in carbohydrate metabolism and digestive enzymes, enhanced glucose uptake activity and popular use of the extract in patients with diabetes type 2. In vitro studies showed that use of the extract was associated with antidiabetic effects (e.g. increased glucose uptake and inhibition of carbohydrate digestion enzymes). In induced diabetic models, Musa spp. extracts showed dose-dependent glycaemic level reductions compared with pharmacological drugs (P < 0.05). SUMMARY: In general, promising results regarding antidiabetic activity were found for inflorescence of Musa spp., suggesting that this plant could represent a natural alternative therapy for treating diabetes mellitus type 2.

Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression.

BACKGROUND: Malaria is one of the most lethal and life-threatening infectious diseases in the world, causing more than half a million deaths annually. Treatment with mefloquine and artesunate is currently recommended by the World Health Organization, and was historically the first artemisinin-based combination therapy used clinically for treatment of Plasmodium falciparum. The problem of poor-quality medicines, such as counterfeit and sub-standard anti-malarials, is a worldwide issue; therefore, it is essential to develop rapid, low cost, solvent-free, and reliable methods for routine quality control for these drugs. The aim of this study was to develop and validate a novel multivariate method for direct simultaneous quantification of mefloquine and artesunate in tablets by diffuse reflectance, middle infrared spectroscopy and partial least squares regression (MIR-PLS). METHODS: Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and partial least squares regression were applied for simultaneous quantification of artesunate and mefloquine in tablets provided by the Brazilian Government. The model was obtained with full spectra (4000-400 cm(-1)) preprocessed by first derivative and Savitzky-Golay smoothing followed by mean centring, and built with three latent variables. The method was validated according to Brazilian and international guidelines through the measuring of figures of merit, such as trueness, precision, linearity, analytical sensitivity, selectivity, bias, and residual prediction deviation. The results were compared to an HPLC-MS/MS method. RESULTS: The MIR-PLS method provided root mean square errors of prediction lower than 2.0 mg per 100 mg of powder for the two analytes, and proved to be valid according to guidelines for analytical methods that use infrared (IR) spectroscopy with multivariate calibration. For the samples obtained from Brazilian healthcare units, the method provided results statistically similar to those obtained by HPLC-MS/MS. CONCLUSION: MIR-PLS was found to be suitable for the quality control of these drugs. It is fast, does not use solvents, and does not generate chemical waste. Furthermore, the proposed method may be transferred and developed for use in portable equipment, increasing the possibilities for assessing the quality of these drugs.

Simultaneous determination of levodopa, carbidopa, entacapone, tolcapone, 3-O-methyldopa and dopamine in human plasma by an HPLC-MS/MS method.

BACKGROUND: In this study, we developed and validated a HPLC-MS/MS method capable of simultaneously determining levodopa, carbidopa, entacapone, tolcapone, 3-O-methyldopa and dopamine in human plasma. RESULTS & METHODOLOGY: Chromatographic separation was achieved using a C8 column with a mobile phase consisting of a gradient of water and acetonitrile:methanol (90:10 v/v), both containing 0.1% formic acid. The developed method was selective, sensitive (LD<7.0 ng ml(-1)), linear (r>0.99), precise (RSD<11.3%), accurate (RE<11.8%) and free of residual and matrix effects. The developed method was successfully applied in plasma patients with Parkinson's disease using Stalevo®. CONCLUSION: The new method can be used for the clinical monitoring of these substances and applied to adjustments in drug dosages.