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BRS1 — Neurotransmitter Regulation

BRS1(FM5) - Excitatory–Inhibitory Balance (GABA–Glutamate Regulation)

1. Definition

Functional control of excitatory–inhibitory tone through GABA–glutamate balance, supporting neural stability, inhibitory control, and resistance to overstimulation.

2. Intervention Breakdown

Food-State Leaning

3. Functional Role

↑ inhibitory tone support; ↑ GABA synthesis support; ↑ glutamate control; ↑ excitation–inhibition balance

4. Mechanistic Basis (Implementation of PMs)

Integrated control of excitatory–inhibitory tone through GABA–glutamate balance and excitotoxicity modulation.

PM6 governs GABA–Glutamate Neurotransmission Balance. PM7 governs GABA Synthesis Capacity. PM8 governs Glutamate Clearance & Recycling. PM9 governs Excitotoxicity Modulation.

Together, these PMs operationalise BRS1(FM5) as coordinated excitatory–inhibitory balance regulation.

5. Underlying Mechanisms and Requirements

5.1 Cofactors and Substrates

PMCofactorsKC substrates
BRS1(PM6)B6, magnesium, zinccholine, dietary protein, tryptophan, tyrosine, LNAAs (KC1)
BRS1(PM7)B6 (PLP), magnesiumcholine, dietary protein, tryptophan, tyrosine, LNAAs (KC1)
BRS1(PM8)Magnesium, antioxidant support indirectlycholine, dietary protein, tryptophan, tyrosine, LNAAs (KC1)
BRS1(PM9)Magnesium, omega-3, antioxidants indirectlycholine, dietary protein, tryptophan, tyrosine, LNAAs (KC1)

5.2 PMs (Primary Mechanisms)

5.3 KCs (Key Constraints)

  • BRS6-PM1 — Glycaemic Stability
  • BRS3-PM1 — Inflammatory Tone Regulation
  • BRS4-PM1 — Mitochondrial Bioenergetic Support

6. Dietary Levers

Diet
  • Magnesium ← leafy greens
  • Magnesium + B6 ← lentils
  • Magnesium + zinc ← pumpkin seeds
  • Protein matrix ← yogurt, kefir
  • Fermented foods ← yogurt, kefir (GABA-active context)

7. Lifestyle Levers

Lifestyle
  • Meal timing and protein–carbohydrate composition may modulate neurotransmitter bias where relevant to this FM.
  • Sleep regularity and stress-load management may influence downstream neurotransmitter tone (broader modifiers).

8. Scoreable Inputs & Modulation Signals

These inputs are used within the BRAIN Diet ontology to generate evidence-constrained estimates of plausible BRS1 support. They are not direct measures of clinical efficacy.

Scoreable Input Categories
Input CategoryExample InputsFunctional Relevance
Functional Property Potentialscomplete_protein_context; low_glycaemic_carbohydrate_matrix; phospholipid_dha_contextMay support neurotransmitter precursor and membrane-related FM outcomes.
Realised Functional Statesbalanced_lnaa_meal; slow_carbohydrate_pairing; phospholipid_rich_mealRepresent realised meal-level neurotransmitter support patterns.
Substance / Nutrient Signalstyrosine; tryptophan; choline; DHA; B6; iron; magnesiumSubstrate and cofactor signals linked to this FM cluster.
Preparation Transformationscomplementary_protein_pairing; minimally_processed_protein_sourcesModify amino-acid completeness and meal-matrix effects.

9. References

  1. Edden et al. (2012)
  2. Puts et al. (2020)
  3. Mamiya et al. (2021)