Chitin is a natural polysaccharide of major importance. This biopolymer is synthesized by an enormous number of living organisms; considering the amount of chitin produced annually in the world, it is the most abundant polymer after cellulose. The most important derivative of chitin is chitosan, obtained by partial deacetylation of chitin under alkaline conditions or by enzymatic hydrolysis. Chitin and chitosan are known to have important functional activities but poor solubility makes them difficult to use in food and biomedicinal applications. Chitooligosaccharides (COS) are the degraded products of chitosan or chitin prepared by enzymatic or chemical hydrolysis of chitosan. The greater solubility and low viscosity of COS have attracted the interest of many researchers to utilize COS and their derivatives for various biomedical applications. In light of the recent interest in the biomedical applications of chitin, chitosan, and their derivatives, this review focuses on the preparation and biological activities of chitin, chitosan, COS, and their derivatives.

Defensins are host defense peptides present in nearly all living species, which play a crucial role in innate immunity. These peptides provide protection to the host, either by killing microbes directly or indirectly by activating the immune system. In the era of antibiotic resistance, there is a need to develop a fast and accurate method for predicting defensins. In this study, a systematic attempt has been made to develop models for predicting defensins from available information on defensins. We created a dataset of defensins and non-defensins called the main dataset that contains 1,036 defensins and 1,035 AMPs (antimicrobial peptides, or non-defensins) to understand the difference between defensins and AMPs. Our analysis indicates that certain residues like Cys, Arg, and Tyr are more abundant in defensins in comparison to AMPs. We developed machine learning technique-based models on the main dataset using a wide range of peptide features. Our SVM (support vector machine)-based model discriminates defensins and AMPs with MCC of 0.88 and AUC of 0.98 on the validation set of the main dataset. In addition, we created an alternate dataset that consists of 1,036 defensins and 1,054 non-defensins obtained from Swiss-Prot. Models were also developed on the alternate dataset to predict defensins. Our SVM-based model achieved maximum MCC of 0.96 with AUC of 0.99 on the validation set of the alternate dataset. All models were trained, tested, and validated using standard protocols. Finally, we developed a web-based service “DefPred” to predict defensins, scan defensins in proteins, and design the best defensins from their analogs. The stand-alone software and web server of DefPred are available at https://webs.iiitd.edu.in/raghava/defpred.

Reactive oxygen species (ROS) are inevitably generated, due to the incomplete reduction of O 2 in electron transfer reactions, as byproducts of biological reactions. When ROS production is greater than the detoxification capacity of the cell, excessively generated ROS causes extensive damage to DNA, proteins and lipids and acts as a mediator of pro-inflammatory and carcinogenic events (1). To avoid redox imbalance and oxidative damage, aerobic organisms possess efficient biochemical defense systems such as superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) (2), though it cannot completely protect them from severe oxidative stress. In this context, many scientists have tried to obtain dietary antioxidants such as ascorbate, tocopherol and carotenoids from fruits and vegetables, because they could help protect cells from cellular damage caused by oxidative stress.Several experimental animal models of hepatotoxicity have been developed to investigate the toxicological mechanisms between environmental contaminants and liver. Ethanolic extract (50 %) of stems of Calotropis gigantea R. Br. (Asclepiadaceae) at doses of 250 and 500 mg kg -1 were studied for hepatoprotective activity in male Wistar rats with liver damage induced using carbon tetrachloride, 2 mL kg -1 twice a week. The protective effect of C. gigantea extract was compared with the standard drug silymarin. Various biochemical parameters such as aspartate amino transferase (AST), alanine amino transferase (ALT), glutathione (GSH), lipid peroxide (LPO), superoxidedismutase (SOD), glutathione peroxidase (GPx) and catalase (CAT) were evaluated. The results revealed that the C. gigantea extract significantly decreased AST, ALT (p < 0.001) and lipid peroxide (p < 0.01) levels. The antioxidant parameters GSH, GPx, SOD and catalase levels were increased considerably compared to their levels in groups not treated with C. gigantea extract.

Acid-soluble collagen and pepsin-soluble collagen were extracted from the skin of deer, Cervus korean TEMMINCK var. mantchuricus Swinhoe. The two types of collagen were then characterised using sodium dodecyl sulfate–polyacrylamide gel electrophoresis, amino acid composition analysis, peptide hydrolysis patterns, thermal denaturation temperature, differential scanning calorimetry, Fourier transform infrared spectroscopy, and nuclear magnetic resonance imaging. The yield of pepsin-soluble collagen (9.62%) was greater than that of acid-soluble collagen (2.24%), but both types of collagen showed similar electrophoretic patterns with each other and with calf skin collagen. The peptide hydrolysis pattern results suggested that calf skin collagen and pepsin-soluble collagen from deer skin may be similar in terms of their primary structure. The thermal denaturation temperature of acid-soluble collagen and pepsin-soluble collagen were 36.67°C and 36.44°C, respectively, and their melting temperatures were 110°C and 120°C, respectively, which suggest high thermal stability. Fourier transform infrared showed a triple helical structure and nuclear magnetic resonance confirmed the presence of ‘hydration’ water. These results provide a basis for large-scale production and further application as alternatives to other mammalian collagens.

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