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
🏥 Disease / Health Topic
Diabetes In Children
0
Clinical Trials
1
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42020164843
Does vitamin D supplementation decrease the risk to develop type 2 diabetes in overweight children or adolescents? A Systematic review and Meta-Analysis
Type 2 diabetes in children
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Diabetes In Children
🏥 Names
Disease Name
Diabetes In Children
Topic Type
syndrome
🧬 Ontology Classifications
DisGeNET Type
disease
UMLS Type
Disease or Syndrome
🔗 External References
HERB DB
DisGeNET
C3826457
🔍 Raw view — every non-empty column on this row (19 fields)
name
Diabetes In Children
topic type
syndrome
disgenet disease type
disease
umls disease type
Disease or Syndrome
umls disease type id
T047
herb disease id
HBDIS022517
disgenet id
C3826457
📊 Meta-Analyses
1 · systematic reviewCRD42020164843 Does vitamin D supplementation decrease the risk to develop type 2 diabetes in o
→ Type 2 diabetes in children
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_pinyinmatchingherbs.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