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Relationship Graph Explorer

Follow the connections

Every herb, ingredient, formula, gene target, and disease — connected through real research. Search, pick a subject, and navigate the graph in any direction.

🌿
Herb
6,826
→
⚗️
Ingredient
44,598
→
🧬
Gene Target
15,695
→
🏥
Disease
30,467
→
🧪
Evidence
23,295
trials · metas · refs
Plus 6,743 TCM formulas connecting herbs together
Subject Type: 🌿 Herbs ⚗️ Ingredients 📜 Formulas 🧬 Targets 🏥 Diseases
Quick picks: Abetalipoproteinemia Abortion, Habitual Agenesis Acanthamoeba Keratitis Acanthosis Nigricans Achondrogenesis Achondroplasia Acne Vulgaris Acne Keloid Apert Syndrome
🏥 Disease / Health Topic

Injury of Liver

Open on HERB 2.0 ↗
0
Clinical Trials
1
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42022327925
Serum copper and risk of liver cancer: a systematic review and meta-analysis
Liver cancer has become a major public health challenge as it is the sixth most
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Injury of Liver
🏥 Names
Disease Name
Injury of Liver
Topic Type
disease
🧬 Ontology Classifications
DisGeNET Type
disease
UMLS Type
Injury or Poisoning
MeSH Class
Wounds and Injuries; Digestive System Diseases
🔗 External References
HERB DB
HBDIS004097 ↗
DisGeNET
C0160390
🔍 Raw view — every non-empty column on this row (21 fields)
name
Injury of Liver
topic type
disease
disgenet disease type
disease
umls disease type
Injury or Poisoning
mesh disease class
Wounds and Injuries; Digestive System Diseases
umls disease type id
T037
mesh disease class id
C06; C26
herb disease id
HBDIS004097
disgenet id
C0160390

📊 Meta-Analyses

1 · systematic review
CRD42022327925 Serum copper and risk of liver cancer: a systematic review and meta-analysis
→ Liver cancer has become a major public health chal
How relationships are computed
  • Clinical Trials / Meta-Analyses / References: direct foreign-key link via subject_entity_id (Phase 2d wireup)
  • Formula ↔ Herbs: text bridge via formulas.herbs_in_pinyin matching herbs.pinyin_name
  • Herb ↔ Ingredient: ACTIVE — direct link via herb_ingredients
  • Ingredient ↔ Target: ACTIVE — direct link via ingredient_targets
  • Target ↔ Disease: ACTIVE — direct link via target_health_topics
  • Herb → Target → Disease (full chemical spine): ACTIVE — joins all three link tables