Evaluation of different regression models for detection of adulteration of mustard and canola oil with argemone oil using fluorescence spectroscopy coupled with chemometrics.

Mustard and canola oils are commonly used cooking oils in Asian countries such as India, Nepal, and Bangladesh, making them prone to adulteration. Argemone is a well-known adulterant of mustard oil, and its alkaloid sanguinarine has been linked with health conditions such as glaucoma and dropsy. Utilising a non-destructive spectroscopic method coupled with a chemometric approach can serve better for the detection of adulterants. This work aimed to evaluate the performance of various regression algorithms for the detection of argemone in mustard and canola oils. The spectral dataset was acquired from fluorescence spectrometer analysis of pure as well as adulterated mustard and canola oils with some local and commercial samples also. The prediction performance of the eight regression algorithms for the detection of adulterants was evaluated. Extreme gradient boosting regressor (XGBR), Category gradient boosting regressor (CBR), and Random Forest (RF) demonstrate potential for predicting adulteration levels in both oils with high R2 values.

Cobalt (III) complex exerts anti-cancer effects on T cell lymphoma through induction of cell cycle arrest and promotion of apoptosis.

PURPOSE: Cobalt-based compounds are emerging as a non-platinum-based anti-cancer effective therapeutic agent. However, there is a limited study regarding the therapeutic efficacy of Cobalt-based drugs against Non-Hodgkin's Lymphoma (NHLs) such as T cell lymphoma. Therefore, in the present study we investigated the anti-tumor role of cobalt(III) complex [Co(ptsm)NH3(o-phen)]·CH3OH on Dalton's Lymphoma (DL) cells. MATERIALS AND METHODS: Cytotoxicity of the cobalt complex was estimated by MTT assay. Analysis of mitochondrial membrane potential, cell cycle and Reactive oxygen species (ROS) generation, and Annexin V/PI staining was done by Flow cytometry, while AO/EtBr staining by fluorescence microscopy in cobalt complex treated DL cell. Expression of cell cycle and apoptosis regulatory protein was analyzed by Western blotting. In addition, in vivo study of the cobalt complex was evaluated in well-established DL bearing mice by monitoring physiological parameters and mean survival time. RESULTS: Our study showed that cobalt complex triggered apoptosis and induced cell cycle arrest in DL cells. Furthermore, this also decreased mitochondrial membrane potential and increased intracellular ROS generation in cancer cells. In addition, changed expression of cell cycle and apoptosis regulatory protein was found with enhanced activity of caspase-3 and 9 in the treated cells. Additionally, administration of cobalt complex showed a significant increase in the survivability of tumor-bearing host, which was accomplished by decreasing physiological parameters. CONCLUSION: Taken together, these data revealed anti-tumor potential of cobalt complex against DL cells through cell cycle arrest and mitochondrial-dependent apoptosis. Henceforth, cobalt-based drugs could be a new generation therapeutic drug to treat hematological malignancies.

Advances in protein misfolding, amyloidosis and its correlation with human diseases.

Protein aggregation, their mechanisms and trends in the field of neurodegenerative diseases is still far from completely being decoded. It is mainly attributed to the complexity surrounding the interaction between proteins which includes various regulatory mechanisms involved with the presentation of abnormal conditions. Although most proteins are functional in their soluble form, they have also been reported to convert themselves into insoluble aggregates under certain conditions naturally. Misfolded protein forms aggregates which are mostly unwanted by the cellular system and are mostly involved in various pathophysiologies including Alzheimer's, Type II Diabetes mellitus, Kurus's etc. Challenges lie in understanding the complex mechanism of protein misfolding and its correlation with clinical evidence. It is often understood that due to the slowness of the process and its association with ageing, timely intervention with drugs or preventive measures will play an essential role in lowering the rate of dementia causing diseases and associated ailments in the future. Today approximately more than 35 proteins have been identified capable of forming amyloids under defined conditions, and nearly all of them have been associated with disease outcomes. This review incorporates a major understanding from the history of diseases associated with protein misfolding, to the current state of neurodegenerative diseases globally, highlighting challenges in drug development and current state of research in a comprehensive manner in the field of protein misfolding diseases. There is increasing clinical association of protein misfolding with regards to amyloids compelling us to thread questions solved and further helping us design possible solutions by generating a pathway-based research on which future work in this field could be driven.