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Every herb, ingredient, formula, gene target, and disease — connected through real research. Search, pick a subject, and navigate the graph in any direction.
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🏥 Disease / Health Topic
Loss of Subcutaneous Adipose Tissue In Limbs
0
Clinical Trials
0
Meta-Analyses
0
PubMed References
🏥 All Disease / Health Topic data fields for Loss of Subcutaneous Adipose Tissue In Limbs
🏥 Names
Disease Name
Loss of Subcutaneous Adipose Tissue In Limbs
Alias Names
Loss of Subcutaneous Adipose Tissue In Limbs; Loss of Fat Tissue Below The Skin In Limbs; Loss of Subcutaneous Adipose Tissue From Extremities
Topic Type
phenotype
🧬 Ontology Classifications
DisGeNET Type
phenotype
UMLS Type
Finding
HPO Class
Abnormality of connective tissue
🔗 External References
🔍 Raw view — every non-empty column on this row (23 fields)
name
Loss of Subcutaneous Adipose Tissue In Limbs
alias name
Loss of Subcutaneous Adipose Tissue In Limbs; Loss of Fat Tissue Below The Skin In Limbs; Loss of Subcutaneous Adipose Tissue From Extremities
topic type
phenotype
disgenet disease type
phenotype
umls disease type
Finding
hpo disease class
Abnormality of connective tissue
umls disease type id
T033
hpo disease class id
HP:0003549
herb disease id
HBDIS015615
disgenet id
C1837764
hpo id
HP:0003635
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Each box lists records connected to the one you are viewing, and says how the connection was made. A connection shows that two records are related in the source data. It does not show that something works, is safe or should be used, and a record with many connections is not necessarily better studied or more effective.
- Study records (trials, systematic reviews, publications): the study names this subject. Registered or ongoing studies have no results here, and animal or cell research does not show an effect in people.
- Source-database links (for example herb and compound, compound and gene target): taken from the imported databases and not independently checked by us.
- Name matches (for example formula and herb, or a condition named in a study): found by matching names, so they can be wrong. Treat them as leads, not findings.