What are the current methods used for pharmacological screening to identify potential immunity enhancers derived from plants?
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Current methods for pharmacological screening to identify potential immunity enhancers derived from plants include in vitro assays like MTT and Griess assays to evaluate cell viability and nitric oxide production, western blot analysis for protein expression, and ELISA for cytokine measurement . Additionally, computational screening methods based on molecular dynamics simulations are utilized to predict interactions between plant pattern recognition receptors (PRRs) and carbohydrate moieties, aiding in the discovery of immune-activating compounds . Furthermore, a multiparametric analysis combined with machine learning algorithms such as rCCA, sparse-PLS, and DIABLO is employed to assess adjuvanticity in vivo and immunological profiles in vitro, enhancing the screening of potential vaccine adjuvants derived from herbal medicines . These diverse approaches contribute to the efficient identification of plant-derived compounds with immunomodulatory properties.
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| Papers (5) | Insight |
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23 Citations | Pharmacological screening methods combine evolutionary inference and metabolomics to identify plants with medicinal potential, focusing on secondary metabolites and phylogenetic patterns for immunity enhancers. |
15 Citations | Not addressed in the paper. |
| The study utilized MTT, Griess assays, western blot analysis, ELISA, and phagocytic activity assessment to screen plant extracts for immune-enhancing effects on RAW 264.7 cells. | |
| Machine learning algorithms like rCCA, sparse-PLS, and DIABLO are utilized for screening potential immunity enhancers from herbal medicine extracts based on multiparametric analysis of adjuvanticity and immunological profiles. | |
| In vitro and in vivo methods like histamine inhibition, total leucocytes count, and phagocytosis are used for screening plant-derived immunity enhancers pharmacologically. |
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