Kapha-VataT™ combination screening uses CytoSolve® to evaluate seven-herb synergy across detox, stress-response, mood, and women’s reproductive support pathways
Kapha-VataT™ Kapha-VataT™ is a herbal tea formulated as a proprietary blend of seven Indigenous Indian herbs—black cumin, ink nut, betel nut, black catechu, gall nut, fig tree bark, and gum arabic tree bark—positioned to support the body’s natural detox process and help balance Kapha-Vata. The product narrative also highlights potential support for mood, anxiety, and women’s reproductive health, alongside an option to receive a free personalized “Your Body Your System” analysis to determine the best tea match.
Challenge
Kapha-VataT™ is a multi-ingredient botanical formulation with intended effects spanning multiple functional domains, including detox support, stress-related mood and anxiety balance, and women’s reproductive support. The core scientific challenge for such formulations is that:
- Each herb can affect multiple molecular pathways, often with overlapping or counterbalancing effects
- Benefits may emerge as synergistic combination behavior rather than predictable single-herb outcomes
- Traditional experimental methods are limited in efficiently isolating single-ingredient versus blend-driven effects, especially across multiple physiological domains simultaneously
A systems-level, repeatable approach was needed to evaluate ingredient interactions, quantify synergy, and connect outcomes to mechanistic pathways while staying within responsible structure/function communication.
How CytoSolve Helped
CytoSolve® applied its in silico combination screening workflow to evaluate Kapha-VataT™ as an integrated biological system.
Systems architecture for Kapha-VataT™
CytoSolve® translated the product’s intended functional domains into a pathway blueprint organized into four interacting subsystem modules:
- Detox and clearance biology (endogenous clearance signaling, inflammatory tone, oxidative balance)
- Stress-response signaling (pathways associated with neuroendocrine response and stress adaptation)
- Mood and affect regulation (neurotransmission-adjacent signaling proxies and inflammatory–neurologic cross-talk)
- Women’s reproductive support pathways (hormone-adjacent signaling proxies and tissue-support pathways)
Ingredient encoding and model inputs
- Encoded the seven ingredients—black cumin, ink nut, betel nut, black catechu, gall nut, fig tree bark, and gum arabic tree bark—as mechanistic perturbations mapped across the relevant subsystem modules
- Aligned simulations to use-relevant intake levels consistent with the preparation instructions (boiling water, steeping, serving-size dosing)
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Single-ingredient baselining
- Simulated each ingredient independently to establish baseline pathway signatures and identify the subsystems each ingredient most strongly influences
Combination screening and synergy analysis
- Simulated the full seven-herb blend and compared outputs against the expected additive envelope derived from single-ingredient simulations
- Quantified synergy where the blend produced:
- Broader subsystem engagement (multi-module effects occurring concurrently)
- Deeper modulation (effects exceeding single-ingredient expectations)
- Evaluated whether coordinated changes occurred across detox, stress-response, and mood modules, consistent with the formulation’s intended “balance” profile
Personalization enablement (Your Body, Your System®)
- Structured outputs to support education-led personalization, mapping subsystem signatures to an individual’s “Your Body Your System” profile to guide tea selection and informed counseling
- Broader subsystem engagement (multi-module effects occurring concurrently)
- Deeper modulation (effects exceeding single-ingredient expectations)