BreaThe™ combination screening uses CytoSolve to quantify seven-herb synergy across detox, airway comfort, and congestion-relief pathway modules
BreaThe™ BreaThe™ 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 emphasizes functional support for respiration, fever support, and relief of blocked nostrils, and is recommended for breathing-related comfort.
Challenge
BreaThe™ is a multi-ingredient botanical formulation intended to support respiratory comfort and congestion relief. Scientific substantiation for such blends is challenging because:
- Individual herbs can act on multiple biological targets (inflammatory tone, mucus balance, airway smooth muscle signaling)
- Benefits may arise from synergistic interactions across interconnected pathways rather than from predictable single-herb effects
- Traditional testing is limited in efficiently distinguishing individual ingredient contributions from emergent blend behavior across respiratory and detox domains simultaneously
A systems-level approach was needed to evaluate the formulation as consumed—as a combination—while preserving mechanistic traceability suitable for responsible structure/function communication.
How CytoSolve Helped
CytoSolve applied its in silico combination screening workflow to evaluate BreaThe™ as an integrated respiratory-support system.
Systems architecture for BreaThe™
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 and secretion balance proxies, clearance signaling)
- Airway patency module (smooth muscle tone 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 affects 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
- Simulations used a use-relevant dosing framework aligned with preparation directions (boiling water, steeping, serving size)
</br
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
- 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)