Glioblastoma multiforme (GBM) remains incurable despite aggressive implementation of multimodal treatments after surgical debulking. Almost all patients with GBM relapse within a narrow margin around the initial resected lesion due to postsurgery residual glioma stem cells (GSCs). Tracking and eradicating postsurgery residual GSCs is critical for preventing postoperative relapse of this devastating disease, yet effective strategies remain elusive. Here, we report a cavity-injectable nanoporter-hydrogel superstructure that creates GSC-specific chimeric antigen receptor (CAR) macrophages/microglia (MΦs) surrounding the cavity to prevent GBM relapse. Specifically, we demonstrate that the CAR gene–laden nanoporter in the hydrogel can introduce GSC-targeted CAR genes into MΦ nuclei after intracavity delivery to generate CAR-MΦs in mouse models of GBM. These CAR-MΦs were able to seek and engulf GSCs and clear residual GSCs by stimulating an adaptive antitumor immune response in the tumor microenvironment and prevented postoperative glioma relapse by inducing long-term antitumor immunity in mice. In an orthotopic patient–derived glioblastoma humanized mouse model, the combined treatment with nanoporter-hydrogel superstructure and CD47 antibody increased the frequency of positive immune responding cells and suppressed the negative immune regulating cells, conferring a robust tumoricidal immunity surrounding the postsurgical cavity and inhibiting postoperative glioblastoma relapse. Therefore, our work establishes a locoregional treatment strategy for priming cancer stem cell–specific tumoricidal immunity with broad application in patients suffering from recurrent malignancies.

Background SARS-CoV-2, an emerging strain of coronavirus, has affected millions of people from all the continents of world and received worldwide attention. This emerging health crisis calls for the urgent development of specific therapeutics against COVID-19 to potentially reduce the burden of this emerging pandemic. Purpose This study aims to evaluate the anti-viral efficacy of natural bioactive entities against COVID-19 via molecular docking and molecular dynamics simulation. Methods A library of 27 caffeic-acid derivatives was screened against 5 proteins of SARS-CoV-2 by using Molegro Virtual Docker 7 to obtain the binding energies and interactions between compounds and SARS-CoV-2 proteins. ADME properties and toxicity profiles were investigated via www.swissadme.ch web tools and Toxtree respectively. Molecular dynamics simulation was performed to determine the stability of the lead-protein interactions. Results Our obtained results has uncovered khainaoside C, 6-O-Caffeoylarbutin, khainaoside B, khainaoside C and vitexfolin A as potent modulators of COVID-19 possessing more binding energies than nelfinavir against COVID-19 M pro , Nsp15, SARS-CoV-2 spike S2 subunit, spike open state and closed state structure respectively. While Calceolarioside B was identified as pan inhibitor, showing strong molecular interactions with all proteins except SARS-CoV-2 spike glycoprotein closed state. The results are supported by 20 ns molecular dynamics simulations of the best complexes. Conclusion This study will hopefully pave a way for development of phytonutrients-based antiviral therapeutic for treatment or prevention of COVID-19 and further studies are recommended to evaluate the antiviral effects of these phytochemicals against SARS-CoV-2 in in vitro and in vivo models.

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The nomadic pastoral indigenous communities of the Ladakhi people share roots with Tibetan culture in terms of food, clothing, religion, festivals, and habits, and rely widely on plant resources for survival and livelihood. This survey was conducted during 2019–2021 to document the indigenous knowledge about plant resources of the Balti, Beda, and Brokpa communities of the Ladakh region, trans-Himalayas. Open- and close-ended semi-structured interviews (N = 184) and group discussions (N = 17) were used to collect the data. Quantitative data was further analyzed using various statistical tools. A total of 105 plant species belonging to 82 genera and 39 families were used as medicine, fuel wood, fragrance, oil, food, flavor, fodder, decoration, and dye. Among these, medicinal use was most prevalent, with 70% of use reports, followed by fodder and fuel wood. Leaves (27%) were the most preferred plant part used, followed by roots and flowers. The principal component analysis revealed five clusters of ethnobotanical usage, i.e., food, medicine, fuel wood, fodder, and fragrance, oil, dye, and flavor. The maximum number of plant species used was reported by the Brokpa, while the Beda reported the minimum number of plant species uses. Delphinium brunonianum, Waldheimia tomentosa, and Juniperus indica played a significant role in the cultural and religious ritual aspects, whereas Allium przewalskianum, Waldheimia tomentosa, Juniperus indica, and Hippophae rhamnoides were commonly used as a livelihood source among Ladakhi communities. The local people collected most plants (65%) for self-consumption, while the rest (35%) were sold in markets as a source of income. The sustainable utilization and management of plant resources by local people is a strategy to boost livelihoods and food security and alleviate poverty.

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Lately, nitrogenous heterocyclic antivirals, such as nucleoside-like compounds, oxadiazoles, thiadiazoles, triazoles, quinolines, and isoquinolines, topped the therapeutic scene as promising agents of choice for the treatment of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and their accompanying ailment, the coronavirus disease 2019 (COVID-19). At the same time, the continuous emergence of new strains of SARS-CoV-2, like the Omicron variant and its multiple sublineages, resulted in a new defiance in the enduring COVID-19 battle. Ensitrelvir (S-217622) is a newly discovered orally active noncovalent nonpeptidic agent with potential strong broad-spectrum anticoronaviral activities, exhibiting promising nanomolar potencies against the different SARS-CoV-2 variants. S-217622 effectively and nonspecifically hits the main protease (M pro ) enzyme of a broad scope of coronaviruses. Herein, in the present computational/biological study, we tried to extend these previous findings to prove the universal activities of this investigational agent against any coronavirus, irrespective of its type, through synchronously acting on most of its main unchanged replication enzymes/proteins, including (in addition to the M pro ), e.g., the highly conserved RNA-dependent RNA polymerase (RdRp) and 3′-to-5′ exoribonuclease (ExoN). Biochemical evaluation proved, using the in vitro anti-RdRp/ExoN bioassay, that S-217622 can potently inhibit the replication of coronaviruses, including the new virulent strains of SARS-CoV-2, with extremely minute in vitro anti-RdRp and anti-RdRp/ExoN half-maximal effective concentration (EC 50 ) values of 0.17 and 0.27 μM, respectively, transcending the anti-COVID-19 drug molnupiravir. The preliminary in silico results greatly supported these biochemical results, proposing that the S-217622 molecule strongly and stabilizingly strikes the key catalytic pockets of the SARS-CoV-2 RdRp's and ExoN's principal active sites predictably via the nucleoside analogism mode of anti-RNA action (since the S-217622 molecule can be considered as a uridine analog). Moreover, the idealistic druglikeness and pharmacokinetic continued...

Lately, nucleos(t)ide antivirals topped the scene as top options for the treatment of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Targeting the two broadly conserved SARS-CoV-2 enzymes, RNA-dependent RNA polymerase (RdRp) and 3′-to-5′ exoribonuclease (ExoN), together using only one shot is a very successful new tactic to stop SARS-CoV-2 multiplication irrespective of the SARS-CoV-2 variant type. Herein, the current studies investigated most nucleoside analogue (NA) libraries, searching for the ideal drug candidates expectedly able to act through this double tactic. Gradual computational filtration gave rise to six different promising NAs along with their corresponding triphosphate (TP) nucleotides. The subsequent biological assessment proved for the first time that, among the six NAs, riboprine and forodesine are able to hyperpotently inhibit the replication of the Omicron strain of SARS-CoV-2 with extremely low in vitro anti-RdRp, anti-ExoN, and anti-SARS-CoV-2 EC 50 values of about 0.18, 0.28, and 0.40 μM for riboprine and about 0.20, 0.31, and 0.65 μM for forodesine, respectively, surpassing remdesivir and molnupiravir. The significant probability that both compounds may also act as prodrugs for their final TP nucleotides in vivo pushed us to examine the same activities for forodesine-TP and riboprine-TP. Both nucleotides similarly displayed very promising results, respectively, which are much better than those for the two reference TP nucleotides, GS-443902 and β- d - N 4 -hydroxycytidine 5′-TP (NHC-TP). The prior in silico data supported these biochemical findings, suggesting that riboprine and forodesine molecules and their expected active TP metabolites strongly hit the key catalytic pockets of the SARS-CoV-2 RdRp’s and ExoN’s main active sites. In brief, the current important results of this comprehensive study revealed the interesting repurposing potentials of, mainly, the two bioactive nucleosides forodesine and riboprine and their TP nucleotides to effectively shut down the polymerase/exoribonuclease-RNA nucleotide interactions of SARS-CoV-2 and consequently treat COVID-19 infections.

Dengue has become a huge global health burden. It is currently recognized as the most rapidly spreading mosquito-borne viral disease. Yet, there are currently no licensed vaccines or specific therapeutics to manage the virus, thus, scaling up vector control approaches is important in controlling this viral spread. This study aimed to identify and study in silico , potential anti-mosquito compounds targeting Juvenile hormone (JH) mediated pathways via the Mosquito Juvenile Hormone Binding Protein (MJHBP). The study was implemented using series of computational methods. The query compounds included pyrethroids and those derived from ZINC and ANPDB databases using a simple pharmacophore model in Molecular Operating Environment (MOE). Molecular docking of selected compounds’ library was implemented in MOE. The resultant high-score compounds were further validated by molecular dynamics simulation via Maestro 12.3 module and the respective Prime/Molecular Mechanics Generalized Born Surface Area (Prime/MM-GBSA) binding energies computed. The study identified compounds-pyrethroids, natural and synthetic - with high docking energy scores (ranging from 10.91–12.34 kcal/mol). On further analysis of the high-ranking (in terms of docking scores) compounds using MD simulation, the compounds - Ekeberin D4, Maesanin, Silafluofen and ZINC16919139- revealed very low binding energies (−122.99, −72.91 -104.50 and,-74.94 kcal/mol respectively), fairly stable complex and interesting interaction with JH-binding site amino acid residues on MJHBP. Further studies can explore these compounds in vitro/in vivo in the search for more efficient mosquito vector control.