Background. Oxidative stress is implicated in the progression of many neurological diseases, which could be induced by various chemicals, such as hydrogen peroxide (H2O2) and acrylamide. Triphala is a well-recognized Ayurvedic medicine that possesses different therapeutic properties (e.g., antihistamine, antioxidant, anticancer, anti-inflammatory, antibacterial, and anticariogenic effects). However, little information is available regarding the neuroprotective effect of Triphala on oxidative stress. Materials and Methods. An in vitro H2O2-induced SH-SY5Y cell model and an in vivo acrylamide-induced zebrafish model were established. Cell viability, apoptosis, and proliferation were examined by MTT assay, ELISA, and flow cytometric analysis, respectively. The molecular mechanism underlying the antioxidant activity of Triphala against H2O2 was investigated dose dependently by Western blotting. The in vivo neuroprotective effect of Triphala on acrylamide-induced oxidative injury in Danio rerio was determined using immunofluorescence staining. Results. The results indicated that Triphala plays a neuroprotective role against H2O2 toxicity in inhibiting cell apoptosis and promoting cell proliferation. Furthermore, Triphala pretreatment suppressed the phosphorylation of the mitogen-activated protein kinase (MARK) signal pathway (p-Erk1/2, p-JNK1/2, and p-p38), whereas it restored the activities of antioxidant enzymes (superoxide dismutase 1 (SOD1) and catalase) in the H2O2-treated SH-SY5Y cells. Consistently, similar protective effects of Triphala were observed in declining neuroapoptosis and scavenging free radicals in the zebrafish central neural system, possessing a critical neuroprotective property against acrylamide-induced oxidative stress. Conclusion. In summary, Triphala is a promising neuroprotective agent against oxidative stress in SH-SY5Y cells and zebrafishes with significant antiapoptosis and antioxidant activities.
Catechins show strong antioxidant, antitumoral, antiviral, and anti-inflammatory activities. The uses of catechins in food, cosmetic, and pharmaceutical formulations seem very attractive. Unfortunately, solubility and stability of catechins are poor in apolar media, which limits their efficient uses. In order to improve the solubility of catechins in the oil phase and maintain their oxidation resistance, a regioselective enzymatic acylation was investigated. The effects of reaction medium, water content, carbon chain length of acyl donor and other factors on the acylation reaction were studied, catechins were enzymatically esterified with an aliphatic acid (stearic acid) using an immobilized lipase Novozym 435 in n-butanol. The results show that when the ratio between catechins and stearic acid was 1:5, adding molecular sieves 4A after 11 h of reaction and the temperature of 60 °C led to the maximum conversion yield of 60.36%. Studies have shown that catechin stearate has a higher antioxidant activity than vitamin E and dibutyl hydroxytoluene (BHT).
The subcellular location plays a pivotal role in the functionality of proteins. In this paper we develop a multi-stage linear classifier fusion system based on Efron's bootstrap sampling for predicting subcellular locations of yeast proteins. Three different types of classifiers, i.e. the Naive Bayes (NB) classifier, radial basis function (RBF) network, and multilayer perceptron (MLP), are utilized to construct the component modules in the fusion system. Ten bootstrapped instance sets are generated for training each type of component classifiers respectively. The linear fusion models, updated by the least-mean-square (LMS) algorithm, are used to integrate the local decisions of the component classifiers and derive the final predictions. The empirical results show that the RBF classifiers can reach at slightly higher accuracy and better precision versus the NB or MLP ones. The linear fusion system consistently improves the overall prediction accuracy, in particular 6.65%, 1.77%, and 3.21%, superior to the NB, RBF, and MLP component classifiers, respectively.
Cerebrovascular and functional neurological lesions are the major disorders threatening human health and quality of life. The presence of the blood-brain barrier seriously affects the distribution and efficacy of various drugs in the brain. Ginkgolide B (GB) and Puerarin (Pue) are active pharmaceutical ingredients for the treatment of Parkinson’s disease. Here, we have developed a novel strategy to construct a GB-Pue niosomal composite drug. The in vitro cytology study of the niosomal composite drug showed that 20 mmol/L glutamate resulted in a mortality of 50–60% in the SHSY-5Y cells, while 30 μmol/L niosomal composite drug resulted in a survival rate of 95.2% in the SHSY-5Y cells with a maximum uptake value of 3.5 μg/mg and a peak uptake time at 2 hr. The monolayer cells reached a maximum transepithelial/endothelial electrical resistance (TEER) value of 626 Ω*cm2 at 36 hr in culture, and the cellular integrity was negatively correlated with the amount of drug accumulated in the cells. The accumulated GB and Pue in cells reached 86.53% and 76.49%, respectively. The 30 μmol/L composite drug preparation provided a higher cell survival rate in the glutamate (Glu) injured cells compared to the single drug preparations. Therefore, the composite preparation of the two drugs generated a synergistic effect, meeting the requirement for a combined use. The cell transmembrane transport experiments demonstrated that the pharmaceutical preparations traversed the blood-brain barrier through the active transport of cells.
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