PittaT™ combination screening uses CytoSolve to quantify multi-herb synergy across detox, digestion, relaxation, and bowel-motility pathway modules
PittaT™ PittaT™ is a herbal tea formulated as a proprietary blend of Indigenous Indian herbs—nut grass, long pepper, coriander, vetiver, and chanca piedra—positioned to support the body’s natural detox process and help balance Pitta. The product narrative highlights functional support for digestion, relaxation, and bowel movement, alongside an optional “Your Body Your System” analysis to guide personalized selection.
Challenge
PittaT™ is a multi-ingredient botanical formulation intended to support several functional outcomes simultaneously. Substantiating such blends presents challenges because:
- Each herb can act on multiple molecular targets (digestive signaling, smooth muscle tone, inflammatory/oxidative balance)
- Benefits often emerge from synergistic interactions across pathways rather than from any single ingredient
- Traditional testing struggles to efficiently separate individual contributions from emergent blend behavior across digestion, relaxation, and elimination domains
A systems-level approach was required to evaluate the formulation as consumed—as a combination—while preserving mechanistic traceability.
How CytoSolve Helped
CytoSolve applied its in silico combination screening workflow to evaluate PittaT™ as an integrated biological system.
Systems architecture for PittaT™
CytoSolve translated the product’s intended functions into a pathway blueprint organized into four interacting subsystem modules:
- Detox and clearance biology (endogenous clearance signaling, inflammatory tone, oxidative balance)
- Digestive function module (digestive comfort and nutrient-processing–adjacent signaling proxies)
- Bowel motility module (smooth muscle activity and transit–adjacent signaling proxies)
- Relaxation / stress-response module (neuroendocrine-adjacent signaling proxies influencing calm state)
The modules were integrated to preserve cross-talk (e.g., how inflammatory tone influences digestion and motility, and how stress-response signaling affects relaxation and gut function).
Ingredient encoding and model inputs
- Encoded nut grass, long pepper, coriander, vetiver, and chanca piedra as mechanistic perturbations mapped across the relevant subsystem modules
- Simulations used a use-relevant dosing framework aligned with preparation directions (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
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 (simultaneous shifts in airway inflammation, mucus balance, and airway patency)
- Non-additive depth (greater-than-expected modulation of congestion and airway-comfort proxies)
- Evaluated coordinated behavior consistent with the product narrative: improved respiratory support and reduced “blocked nostrils” via combined modulation of inflammation and mucus pathways
Personalization enablement (Your Body Your System)
- Structured outputs to support education-led personalization by mapping subsystem signatures to an individual’s “Your Body Your System” profile for tea selection guidance.
- 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 (simultaneous shifts in airway inflammation, mucus balance, and airway patency)
- Non-additive depth (greater-than-expected modulation of congestion and airway-comfort proxies)
- Evaluated coordinated behavior consistent with the product narrative: improved respiratory support and reduced “blocked nostrils” via combined modulation of inflammation and mucus pathways
- Structured outputs to support education-led personalization by mapping subsystem signatures to an individual’s “Your Body Your System” profile for tea selection guidance.