VataT™ combination screening uses CytoSolve to quantify eight-herb synergy across detox, neuromuscular relaxation, and mobility-support pathway modules
VataT™ VataT™ is a herbal tea formulated as a proprietary blend of eight Indigenous Indian herbs—Indian ginseng, heart-leaved moonseed, dried ginger, black pepper, long pepper, clove, crab’s claw gall, and white gulmohar leaf—positioned to support the body’s natural detox process and help balance Vata. The product narrative highlights functional support for mobility, muscle relaxation, and ease of movement, alongside a free “Your Body Your System” analysis to guide personalized tea selection.
Challenge
VataT™ is a multi-ingredient botanical formulation intended to support movement and neuromuscular comfort while also contributing to detox support. Substantiating such blends presents challenges because:
- Individual herbs can influence multiple biological systems (inflammation, oxidative balance, neuromuscular signaling, connective tissue support)
- Desired outcomes often arise from synergistic interactions across pathways rather than from any single ingredient
- Traditional experimental testing struggles to efficiently separate single-ingredient effects from emergent blend behavior, especially across mobility-related domains
A systems-level approach was required to evaluate VataT™ as a combination, while preserving mechanistic traceability and supporting responsible structure/function communication.
How CytoSolve Helped
CytoSolve applied its in silico combination screening workflow to evaluate VataT™ as an integrated biological system.
Systems architecture for VataT™
CytoSolve translated the product’s intended functions into a pathway blueprint organized into four interacting subsystem modules:
- Detox and clearance biology (inflammatory tone, oxidative balance, endogenous clearance signaling)
- Neuromuscular relaxation module (muscle tone regulation and neuromuscular signaling proxies)
- Mobility and movement module (joint and connective tissue–adjacent signaling proxies influencing range of motion)
- Stress-response / adaptation module (stress-modulated pathways that can influence muscle tension and movement comfort)
These modules were integrated to preserve cross-talk—for example, how inflammatory tone and oxidative stress influence muscle stiffness, and how stress-response signaling affects movement ease.
Ingredient encoding and model inputs
- Encoded the eight ingredients—Indian ginseng, heart-leaved moonseed, dried ginger, black pepper, long pepper, clove, crab’s claw gall, and white gulmohar leaf—as mechanistic perturbations mapped across the relevant subsystem modules
- Used a use-relevant dosing framework aligned with preparation instructions (boiling water, steeping, serving size)
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Single-ingredient baselining
- Simulated each herb independently to establish baseline pathway “fingerprints,” identifying which subsystems each ingredient most strongly influences (e.g., relaxation-focused vs. mobility-focused signaling).
Combination screening and synergy analysis
- Simulated the full eight-herb blend and compared outputs against the expected additive envelope derived from single-ingredient simulations
- Quantified synergy where the blend produced:
- Broader subsystem engagement (simultaneous modulation across detox, neuromuscular, and mobility modules)
- Non-additive depth (greater-than-expected modulation of muscle-relaxation or movement-support proxies)
- Evaluated coordinated behavior consistent with a Vata-balancing profile: calming, grounding, and movement-supportive signaling patterns
Personalization enablement (Your Body Your System)
- Structured outputs to support education-led personalization by mapping the blend’s subsystem signature to an individual’s “Your Body Your System” profile for guidance on tea selection and use.
- Broader subsystem engagement (simultaneous modulation across detox, neuromuscular, and mobility modules)
- Non-additive depth (greater-than-expected modulation of muscle-relaxation or movement-support proxies)