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Analyzing the Functions of Mast Cells In Vivo Using 'Mast Cell Knock-in' Mice
Published on: May 27, 2015
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A pathway to next-generation mast cell stabilizers identified through the novel Phytomedical Analytics for Research
C Jansen1, B G Rice1,2, B Wooton1,2
1Laboratory of Pharmacology and Analytics, School of Natural Sciences and Mathematics, Chaminade University, Honolulu, Hawai'i.
Biorxiv : the Preprint Server for Biology
|September 15, 2025
Summary
Next-generation mast cell stabilizers (MCS) from phytomedicine show promise for allergy and inflammation. A novel data analytics approach identified and validated new candidates, potentially outperforming current treatments for conditions like Mast Cell Activation Syndrome (MCAS).
Area of Science:
- Pharmacology and Bioinformatics
- Phytomedicine and Drug Discovery
Background:
- Mast cell stabilizers (MCS) offer potential for allergy and inflammation by suppressing mast cell responses, unlike antihistamines that only block histamine.
- Current MCS have limitations including poor bioavailability, frequent dosing, and unclear mechanisms, creating a need for new therapeutic options.
- Phytomedicine represents a rich source for novel mast cell stabilizers (ngMCS), with cromolyn sodium derived from Ammi visnaga as a precedent.
Purpose of the Study:
- To develop and validate a coupled pharmacoanalytic and in vitro pharmacology approach to identify and prioritize next-generation mast cell stabilizers (ngMCS) from phytomedical sources.
- To leverage a novel phytopharmacopeia data platform and advanced analytics to discover and derisk potential ngMCS candidates.
- To address unmet therapeutic needs in allergy, inflammation, and complex conditions like Mast Cell Activation Syndrome (MCAS).
Main Methods:
- Development of a comprehensive phytopharmacopeia data platform integrating >3.5 billion linkage pathways across biogeography, medical systems, and chemical components.
- Application of a novel data analytics workflow including druggability indices, target, and pathway analyses for candidate identification.
- Validation of selected phytomedical ngMCS candidates using in silico workflows and in vitro pharmacology, alongside development of a harmonic mean-based 'MCS score' for prioritization.
Main Results:
- A novel data analytics workflow and phytopharmacopeia data platform were established for identifying potential ngMCS.
- A subset of candidate phytomedical ngMCS was successfully validated using in silico and in vitro methods.
- A new 'MCS score' was developed to streamline the prioritization of promising ngMCS candidates.
Conclusions:
- The developed pharmacoanalytic and in vitro pharmacology approach is effective in identifying and validating novel mast cell stabilizers from phytomedical sources.
- This strategy holds significant potential for discovering next-generation mast cell stabilizers (ngMCS) to overcome limitations of current therapies.
- The findings are particularly relevant for complex conditions like Mast Cell Activation Syndrome (MCAS), suggesting ngMCS may offer superior management strategies.

