A Comprehensive Database and Analysis Framework To Incorporate Multiscale Data Types and Enable Integrated Analysis...

Area of Science:

• Pharmacology and Toxicology
• Bioinformatics and Computational Biology
• Natural Product Chemistry

Background:

• Clinical development of botanical preparations necessitates detailed characterization of chemical composition, bioavailability, activity, and safety.
• Diverse experimental protocols and model systems are typically employed, generating heterogeneous data.
• Integrating this multiscale data is crucial for understanding complex biological responses.

Purpose of the Study:

• To establish a comprehensive database and analysis framework for collecting, collating, and integratively analyzing diverse data sets from botanical preparations.
• To conduct an integrative analysis of heterogeneous data from in vivo and in vitro investigations of a complex bioactive dietary polyphenol-rich preparation (BDPP).
• To build an integrated network linking data from various experimental paradigms to provide a global overview of biological responses.

Main Methods:

• Development of a comprehensive database and standardized framework for data collection, collation, and storage.
• Integrative analysis of heterogeneous data from in vivo and in vitro studies.
• Construction of an integrated network to link diverse experimental data sets.
• Application of a statistical ranking scheme for prioritizing treatment responses and reconstructing functionality studies.

Main Results:

• A functional database and analysis framework were established for systematic data management and querying.
• An integrated network was built, linking heterogeneous data from multiple experimental paradigms.
• The system demonstrated utility in prioritizing treatment responses and reconstructing functionality studies.
• Novel insights into the biological activities of BDPP were gained through data-driven characterization of phenolic metabolite interactions and mechanisms.

Conclusions:

• The developed integrative analysis framework facilitates systematic analysis of heterogeneous data types for complex botanicals.
• This approach provides novel means to gain insights into biological activities, mechanisms of action, and potential interactions of botanical compounds.
• The framework supports the development of complex botanicals, such as polyphenols, for eventual clinical and translational applications.