Acridocarpus orientalis is an important medicinal plant for some of the locals of Arabian region. Very little is known about its phytochemical constituents. In the present study, we aimed to isolate bioactive chemicals from the crude methanolic extract of the aerial parts of A. orientalis. The extraction and isolation resulted in the purification of two flavonoids: morin (1) and morin-3-O-β-D-glucopyranoside (2). The structure elucidation was carried out by extensive analysis of spectroscopic data and comparison with the reported data for the known constituents. The pure isolates were subjected to various biological assays for their bioactivities. The compounds 1 and 2 were significantly active against the growth of various pathogenic fungi and phytotoxic against lettuce seed at higher concentrations. Furthermore, the free radical scavenging activities, anti-lipid peroxidation, and cytotoxic effects against HepG2, HT29, and HCT116 cancer cell lines were also assayed and the results are presented in this paper.

Detection of adulteration in carbohydrate-rich foods like fruit juices is particularly difficult because of the variety of the commercial sweeteners available that match the concentration profiles of the major carbohydrates in the foods. In present study, a new sensitive and robust assay using Fourier Transform Near-Infrared Spectroscopy (FT-NIRS) combined with partial least square (PLS) multivariate methods has been developed for detection and quantification of saccharin adulteration in different commercial fruit juice samples. For this investigation, six different commercially available fruit juice samples were intentionally adulterated with saccharin at the following percentage levels: 0%, 0.10%, 0.30%, 0.50%, 0.70%, 0.90%, 1.10%, 1.30%, 1.50%, 1.70% and 2.00% (weight/volume). Altogether, 198 samples were used including 18 pure juice samples (unadulterated) and 180 juice samples adulterated with saccharin. PLS multivariate methods including partial least-squares discriminant analysis (PLS-DA) and partial least-squares regressions (PLSR) were applied to the obtained spectral data to build models. The PLS-DA model was employed to differentiate between pure fruit juice samples and those adulterated with saccharin. The R² value obtained for the PLS-DA model was 97.90% with an RMSE error of 0.67%. Similarly, a PLS regression model was also developed to quantify the amount of saccharin adulterant in juice samples. The R² value obtained for the PLSR model was 97.04% with RMSECV error of 0.88%. The employed model was then cross-validated by using a test set which included 30% of the total adulterated juice samples. The excellent performance of the model was proved by the low root mean squared error of prediction value of 0.92% and the high correlation factor of 0.97. This newly developed method is robust, nondestructive, highly sensitive and economical.

As per the World Health Organization (WHO), more than 288 vaccines against COVID-19 are being developed, with an estimated 184 being presently investigated in the pre-clinical phases, while 104 of these vaccine candidates are at various stages of clinical trials. Twelve of these are in the advanced stages of clinical investigation, and promising results in the phase 3 trials have already paved the way for their regulatory approval and subsequent dissemination for global use. Preliminary and interim results of some of these candidate vaccines are being analyzed for public dissemination. Some of these vaccines have already been rolled out to immunize not only the highest risk individuals but also the general population in several countries. Once their safety and efficacy are established, the next limiting step would be their mass manufacturing by the pharmaceutical companies to fulfill the global demand. The challenge of manufacturing billions of doses of high-quality vaccines is under-appreciated at the moment. A massive vaccination drive would be needed to protect people of all ages. The timely and coordinated execution of the vaccination effort would require unprecedented coordination at the national and international levels for generating funds to purchase the required doses of vaccines, fair distribution of doses and managing the mechanics of delivering vaccines throughout the world.

Diabetes mellitus has a high prevalence rate and it has been deemed a severe chronic metabolic disorder with long-term complications. This research aimed to identify compounds that could potentially inhibit the vital metabolic enzyme α-glucosidase and thereby exert an anti-hyperglycemic effect. The main goal was to establish an effective approach to control diabetes. To proceed with this study, a series of novel coumarin-derived thiosemicarbazones 3a–3m was synthesized and examined using a variety of spectroscopic methods. Moreover, all the compounds were subjected to α-glucosidase inhibition bioassay to evaluate their antidiabetic potential. Fortunately, all the compounds exhibited several folds potent α-glucosidase inhibitory activities with IC₅₀ values ranging from 2.33 to 22.11 µM, in comparison to the standard drug acarbose (IC₅₀ = 873.34 ± 1.67 µM). The kinetic studies of compound 3c displayed concentration-dependent inhibition. Furthermore, the binding modes of these molecules were elucidated through a molecular docking strategy which depicted that the thiosemicarbazide moiety of these molecules plays a significant role in the interaction with different residues of the α-glucosidase enzyme. However, their conformational difference is responsible for their varied inhibitory potential. The molecular dynamics simulations suggested that the top-ranked compounds (3c, 3g and 3i) have a substantial effect on the protein dynamics which alter the protein function and have stable attachment in the protein active pocket. The findings suggest that these molecules have the potential to be investigated further as novel antidiabetic medications.

Medicinal plants are important treasures for the treatment of different types of diseases. Current study provides significant ethnopharmacological information, both qualitative and quantitative on medical plants related to children disorders from district Bannu, Khyber Pakhtunkhwa (KPK) province of Pakistan. The information gathered was quantitatively analyzed using informant consensus factor, relative frequency of citation and use value method to establish a baseline data for more comprehensive investigations of bioactive compounds of indigenous medicinal plants specifically related to children disorders. To best of our knowledge it is first attempt to document ethno-botanical information of medicinal plants using quantitative approaches. Total of 130 informants were interviewed using questionnaire conducted during 2014-2016 to identify the preparations and uses of the medicinal plants for children diseases treatment. A total of 55 species of flowering plants belonging to 49 genera and 32 families were used as ethno-medicines in the study area. The largest number of specie belong to Leguminosae and Cucurbitaceae families (4 species each) followed by Apiaceae, Moraceae, Poaceae, Rosaceae and Solanaceae (3 species each). In addition leaves and fruits are most used parts (28%), herbs are most used life form (47%), decoction method were used for administration (27%), and oral ingestion was the main used route of application (68.5%). The highest use value was reported for species Momordica charantia and Raphnus sativus (1 for each) and highest Informant Consensus Factor was observed for cardiovascular and rheumatic diseases categories (0.5 for each). Most of the species in the present study were used to cure gastrointestinal diseases (39 species). The results of present study revealed the importance of medicinal plant species and their significant role in the health care of the inhabitants in the present area. The people of Bannu own high traditional knowledge related to children diseases. In conclusion we recommend giving priority for further phytochemical investigation to plants that scored highest FIC, UV values, as such values could be considered as good indicator of prospective plants for discovering new drugs and attract future generations towards traditional healing practices.