Systems map

One model. Many interfaces.

Each pillar feeds the others. The map below shows the high-traffic relationships you'll be reasoning about clinically.

Ecological & metabolic interface

Microbiome

Signaling molecules & therapeutic messengers

Peptides

Neural regulation & neuroimmune feedback

Vagus & Autonomic

Inherited blueprint & expression layer

Genomics & Epigenomics

Feedback, safety & early-warning

Lab Testing

Filter by case
GenomeInherited blueprintEpigenomeExpression layerMicrobiomeEcological interfacePeptidesSignaling messengersVagusAutonomic regulationLabsFeedback & safety

Hover a node to see its edges. Click to pin. Pick a case to dim pillars not in play.

Edges

  • Genome
    Peptide response
    Receptor biology, drug metabolism, endocrine risk.
  • Genome
    Microbiome
    Mucosal immunity, secretor status, barrier, bile acids, diet tolerance.
  • Microbiome
    Epigenome
    SCFAs (HDAC), folate, B12, bile acids, indoles, inflammation.
  • Vagus / autonomic tone
    Epigenome
    Stress physiology, HPA axis, sleep, inflammation as expression modifiers.
  • Labs
    Genome interpretation
    Phenotype determines whether genomic risk is clinically active.
  • Genome
    Early warning
    Family history, pathogenic variants, polygenic risk, pharmacogenomics.
  • CRISPR / gene therapy
    Genome
    Regulated gene-targeted intervention for selected diseases.
  • Peptides
    Epigenome
    Insulin, GLP-1, growth axis, sex hormones, oxytocin, inflammatory signaling.

Node lexicon

  • Genome
  • Epigenome
  • Gene expression
  • Pharmacogenomics
  • Nutrigenomics
  • Polygenic risk
  • Monogenic risk
  • Family history
  • Clinically actionable variant
  • Variant of uncertain significance
  • DNA methylation
  • Histone modification
  • microRNA
  • Transcriptome
  • Proteome
  • Metabolome
  • Exposome
  • CRISPR / gene editing
  • RNA therapeutics
  • Gene therapy
  • Genetic counseling
  • Cascade testing
Read the map clinically
When you click any node in your head, ask: mechanism, clinical relevance, testing options, related labs, related interventions, evidence grade, what is actionable, what is not proven, referral triggers, ethics & privacy.