KaphaT™ combination screening uses CytoSolve to quantify seven-herb synergy across detox, airway comfort, and congestion-relief pathway modules

KaphaT™
KaphaT™ is a herbal tea formulated as a proprietary blend of seven Indigenous Indian herbs—long pepper, dried ginger, black pepper, red peas egg plant root, pricky brinjal root, licorice, and adathoda—positioned to support the body’s natural detox process and help balance Kapha. The product narrative highlights functional support for respiration, fever support, and relief of blocked nostrils, with an option to receive a free personalized “Your Body Your System” analysis to help identify which tea may fit best.

Challenge

KaphaT™ is a multi-herb blend intended to support multiple functional outcomes at once (detox support, respiratory comfort, and congestion-related support). The scientific challenge for substantiating such formulations is that:

  • Each ingredient can influence multiple molecular targets (e.g., inflammatory tone, mucus balance, airway smooth muscle signaling)
  • Benefits may arise from synergistic, multi-pathway interactions rather than predictable single-herb effects
  • Traditional testing is limited in efficiently separating individual contributions from emergent combination behavior across respiratory and immune domains simultaneously

A systems-level approach was needed to evaluate the seven-herb combination as it is consumed, while still quantifying ingredient-level and blend-level effects in a repeatable way.

How CytoSolve Helped

CytoSolve applied its in silico combination screening workflow to characterize KaphaT™ as an integrated respiratory-support and detox-support intervention.

Systems architecture for KaphaT™

CytoSolve translated the product’s intended functions into an integrated pathway blueprint organized into four interacting subsystem modules:

  • Detox and clearance biology (endogenous clearance signaling, inflammatory tone, oxidative balance)
  • Airway inflammation module (inflammation-associated signaling relevant to airway comfort)
  • Congestion / mucus homeostasis module (mucin production, secretion balance proxies, and clearance signaling)
  • Airway patency module (smooth muscle relaxation proxies and airway openness signaling)

These modules were integrated to preserve cross-talk—for example, how inflammation influences mucus buildup and airway reactivity, and how clearance signaling can affect perceived congestion and breathing comfort..

Ingredient encoding and model inputs

  • Encoded the seven ingredients—long pepper, dried ginger, black pepper, red peas eggplant root, prickly brinjal root, licorice, and adathoda—as mechanistic perturbations mapped across the relevant subsystem modules
  • 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 signatures (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: mapping the blend’s subsystem signature to an individual’s “Your Body Your System” profile to guide tea selection and use

Key Benefits Realized

  • Synergy-aware evaluation: Quantified blend-level effects beyond what any single herb predicts
  • Mechanistic coherence: Connected detox support with airway comfort and congestion-related subsystem behavior in one model
  • Controlled, repeatable comparisons: Enabled consistent single-ingredient versus combination screening without immediate reliance on extensive in vivo testing
  • Personalization-ready interpretation: Created subsystem “fingerprints” usable by Systems Health Educators for individualized tea matching

Outcome

CytoSolve’s in silico combination screening characterized KaphaT™ as a coordinated seven-herb formulation capable of producing multi-system pathway effects aligned with its intended uses—supporting the body’s natural detox processes while engaging airway inflammation, mucus homeostasis, and airway patency modules relevant to respiration support and nasal openness. The workflow distinguished individual ingredient contributions from emergent blend behavior, strengthening mechanistic substantiation and enabling responsible, education-led personalization.

Regulatory note: Consistent with the product disclaimer, this case study describes structure/function support at a pathway level and does not assert disease treatment or prevention claims. These statements have not been evaluated by the FDA, and the product is not intended to diagnose, treat, cure, or prevent any disease.