Applications of some advanced sequencing, analytical, and computational approaches in medicinal plant research: a review.

The potential active chemicals found in medicinal plants, which have long been employed as natural medicines, are abundant. Exploring the genes responsible for producing these compounds has given new insights into medicinal plant research. Previously, the authentication of medicinal plants was done via DNA marker sequencing. With the advancement of sequencing technology, several new techniques like next-generation sequencing, single molecule sequencing, and fourth-generation sequencing have emerged. These techniques enshrined the role of molecular approaches for medicinal plants because all the genes involved in the biosynthesis of medicinal compound(s) could be identified through RNA-seq analysis. In several research insights, transcriptome data have also been used for the identification of biosynthesis pathways. miRNAs in several medicinal plants and their role in the biosynthesis pathway as well as regulation of the disease-causing genes were also identified. In several research articles, an in silico study was also found to be effective in identifying the inhibitory effect of medicinal plant-based compounds against virus' gene(s). The use of advanced analytical methods like spectroscopy and chromatography in metabolite proofing of secondary metabolites has also been reported in several recent research findings. Furthermore, advancement in molecular and analytic methods will give new insight into studying the traditionally important medicinal plants that are still unexplored.

Graphene-based materials for the adsorptive removal of uranium in aqueous solutions.

Ground water contamination by radioactive elements has become a critical issue that can pose significant threats to human health. Adsorption is the most promising approach for the removal of radioactive elements owing to its simplicity, effectiveness, and easy operation. Among the plethora of functional adsorbents, graphene oxide and its derivatives are recognized for their excellent potential as adsorbent with the unique 2D structure, high surface area, and intercalated functional groups. To learn more about their practical applicability, the procedures involved in their preparation and functionalization are described with the microscopic removal mechanism by GO functionalities across varying solution pH. The performance of these adsorbents is assessed further in terms of the basic performance metrics such as partition coefficient. Overall, this article is expected to provide valuable insights into the current status of graphene-based adsorbents developed for uranium removal with a guidance for the future directions in this research field.

Antifungal efficacy of three medicinal plants Glycyrrhiza glabra, Ficus religiosa, and Plantago major against oral Candida albicans: A comparative analysis.

INTRODUCTION: From ancient times, plants with medicinal values are being tested and used in the treatment of various infectious diseases. AIMS AND OBJECTIVES: The present in vitro study was designed to assess the antifungal activity of three commonly available medicinal plants Glycyrrhiza glabra, Ficus religiosa, and Plantago major on inhibiting oral Candida albicans in comparison to standard antifungal agents. MATERIALS AND METHODS: Bark of G. glabra, stem of F. religiosa, and husk of P. major were collected, crushed into fine powder, and dissolved in 67% ethanol. Extracts were subjected to antifungal efficacy test against oral C. albicans (ATCC 66027) using Kirby-Bauer disc diffusion method. Mean zone of inhibition (ZOI) was measured by HI antibiotic zone scale. One-way ANOVA using Tukey's post hoc and t-test were applied for statistical analysis. RESULTS: G. glabra was found to be most effective among the three with highest mean ZOI measuring 19.8 ± 0.83, 19.4 ± 0.54, and 18.2 ± 1.09 at 24, 48, and 72 h, respectively. Tukey's post hoc test showed statistically nonsignificant difference between antifungal activity of F. religiosa and P. major with itraconazole 10 mcg. CONCLUSION: G. glabra, F. religiosa, and P. major showed acceptable potency against C. albicans (ATCC 66027) comparable to that of synthetic antifungal agents. However, further studies should be undertaken to affirm the same and test their efficacy in different concentrations and clinical utility.

Recombinant HA1 produced in E. coli forms functional oligomers and generates strain-specific SRID potency antibodies for pandemic influenza vaccines.

Vaccine production and initiation of mass vaccination is a key factor in rapid response to new influenza pandemic. During the 2009-2010 H1N1 pandemic, several bottlenecks were identified, including the delayed availability of vaccine potency reagents. Currently, antisera for the single-radial immunodiffusion (SRID) potency assay are generated in sheep immunized repeatedly with HA released and purified after bromelain-treatment of influenza virus grown in eggs. This approach was a major bottleneck for pandemic H1N1 (H1N1pdm09) potency reagent development in 2009. Alternative approaches are needed to make HA immunogens for generation of SRID reagents in the shortest possible time. In this study, we found that properly folded recombinant HA1 globular domain (rHA1) from several type A viruses including H1N1pdm09 and two H5N1 viruses could be produced efficiently using a bacterial expression system and subsequent purification. The rHA1 proteins were shown to form functional oligomers of trimers, similar to virus derived HA, and elicited high titer of neutralizing antibodies in rabbits and sheep. Importantly, the immune sera formed precipitation rings with reference antigens in the SRID assay in a dose-dependent manner. The HA contents in multiple H1N1 vaccine products from different manufacturers (and in several lots) as determined with the rHA1-generated sheep sera were similar to the values obtained with a traditionally generated sheep serum from NIBSC. We conclude that bacterially expressed recombinant HA1 proteins can be produced rapidly and used to generate SRID potency reagents shortly after new influenza strains with pandemic potential are identified.