Page 62 - 2025中醫藥與天然藥物聯合學術研討會-中醫藥與天然藥物的挑戰X機遇與未來大會手冊
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Integrating  Pharmacometabolomics  and  Traditional  Wisdom:  Evidence-

               Based Approaches from Thai Traditional Medicine


               Pravit Akarasereenont*   ,1,2,3

               1  Siriraj Center of Applied Thai Traditional Medicine (Si-CATTM),
               2  Division of Inflammopharmacology, Pharmacology Department, Siriraj Metabolomics and
                 Phenomic Center (SiMPC),
               3  WHO CC for traditional medicine in Thailand Faculty of Medicine Siriraj Hospital, Mahidol
                 University.
               * E-mail: pravit.auk@mahidol.ac.th

               Abstract
                 The  presentation  explores  how  Thai  traditional  medical  knowledge  can  be  scientifically
               validated and advanced through the integration of pharmacometabolomics and evidence-based

               research. Anchored in the holistic principles of Thai Traditional Medicine (TTM), the Siriraj
               Center of Applied Thai Traditional Medicine (Si-CATTM) has pioneered translational research
               that bridges ancient healing practices with modern scientific methodologies.
                  Key  highlights  include  the  application  of  multi-omics  approaches—particularly

               metabolomics—in evaluating the efficacy and safety of traditional herbal formulas such as the
               Sahatsatara recipe, renowned for its analgesic and anti-inflammatory properties. Clinical trials
               ranging from in vitro studies to phase II interventions are presented, demonstrating measurable
               outcomes in pain reduction, improved circulation, and enhanced quality of life.

                 The  session  also  examines  the  role  of  Court-type Thai  Traditional  Massage  (CTTM)  in
               modulating biochemical pathways related to myofascial pain syndrome (MPS), with untargeted
               metabolomics profiling revealing shifts in key metabolites and associated pathways before and
               after treatment. These findings support TTM’s role in personalized, integrative healthcare and

               contribute to its positioning within the global precision medicine landscape.
                 Finally, the presentation addresses the future of TTM in the digital era—highlighting how AI,
               big  data,  and  personalized  medicine  frameworks  can  enhance  traditional  diagnostic  and
               therapeutic strategies while preserving cultural wisdom. This integrated approach exemplifies

               how traditional systems, when scientifically contextualized, can contribute to  global health
               innovation and holistic well-being.















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