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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

Osteopenia/Osteoporosis

Open on HERB 2.0 ↗
0
Clinical Trials
1
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42021260532
The effects of testosterone administration on body composition and muscle and bone clinical outcomes in the same population of men.
Muscle and bone mass decline with ageing. Excessive loss of those tissues leads
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Osteopenia/Osteoporosis
🏥 Names
Disease Name
Osteopenia/Osteoporosis
Topic Type
syndrome
🧬 Ontology Classifications
DisGeNET Type
disease
UMLS Type
Disease or Syndrome
MeSH Class
Nutritional and Metabolic Diseases; Musculoskeletal Diseases
🔗 External References
HERB DB
HBDIS005527 ↗
DisGeNET
C0262586
🔍 Raw view — every non-empty column on this row (21 fields)
name
Osteopenia/Osteoporosis
topic type
syndrome
disgenet disease type
disease
umls disease type
Disease or Syndrome
mesh disease class
Nutritional and Metabolic Diseases; Musculoskeletal Diseases
umls disease type id
T047
mesh disease class id
C05; C18
herb disease id
HBDIS005527
disgenet id
C0262586

📊 Meta-Analyses

1 · systematic review
CRD42021260532 The effects of testosterone administration on body composition and muscle and bo
→ Muscle and bone mass decline with ageing. Excessiv
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