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PLIN1-related familial partial lipodystrophy
disorderSNOMED 783616005CUI C5191005
Overview
PLIN1-related familial partial lipodystrophy is a disorder.
Auto-generated from clinical reference data. Not a substitute for medical advice.
Signs & Symptoms
Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.
Acanthosis nigricans
Always present (100%)HP:0000956
Atrophy of fat
Always present (100%)HP:0100578
Body fails to respond to insulin
Always present (100%)HP:0000855
Fatty liver
Always present (100%)HP:0001397
High blood pressure
Always present (100%)HP:0000822
Hyperinsulinemia
Always present (100%)HP:0000842
Inability to make and keep healthy fat tissue
Always present (100%)HP:0009125
Increased triglycerides
Always present (100%)HP:0002155
Insulin-resistant diabetes mellitus at puberty
Always present (100%)HP:0000877
Increased size of calf muscles
Very frequent (80-99%)HP:0008981
Infertility
Very frequent (80-99%)HP:0000789
Loss of fat tissue below the skin in gluts
Very frequent (80-99%)HP:0009017
Loss of subcutaneous adipose tissue from extremities
Very frequent (80-99%)HP:0003635
Reduced subcutaneous adipose tissue
Very frequent (80-99%)HP:0003758
Abnormal circulating hormone concentration
Frequent (30-79%)HP:0003117
Cerebral vascular events
Frequent (30-79%)HP:0001297
Hypertrophic muscles
Frequent (30-79%)HP:0003712
Insulin-resistant diabetes
Frequent (30-79%)HP:0000831
Light or infrequent menstrual periods
Frequent (30-79%)HP:0000876
Liver fibrosis
Frequent (30-79%)HP:0001395
Polycystic ovary disease
Frequent (30-79%)HP:0000147
Quick Facts
- SNOMED CT
- 783616005
- UMLS CUI
- C5191005
- Fully Specified Name
- Perilipin 1 related familial partial lipodystrophy (disorder)
- Specialists
- 0
- Diagnostic Biomarkers
- 0
- HPO Phenotypes
- 21
Medical Disclaimer
This information is for educational purposes only and does not constitute medical advice, diagnosis, or treatment. Always consult with a qualified healthcare provider regarding any medical condition or treatment plan.
Clinical content is derived from the SNOMED CT clinical ontology and curated medical knowledge graphs.