Long-term improvement of metabolic control with pioglitazone in a woman with diabetes mellitus related to Dunnigan syndrome: a case report
Abstract
A 54-year-old woman was referred to hospital because of poor metabolic control. Clinical examination revealed marked acanthosis nigricans, and a striking lack of adipose tissue on the limbs, and excess fat deposits on the neck and face. She had been treated for diabetes since 2001 with high doses of insulin along with metformin. Clinical tests showed hypertriglyceridaemia with low high density lipoprotein (HDL) cholesterol, and cholestasis with mild cytolysis. Dunnigan syndrome (familial partial lipodystrophy type 2) was suspected and confirmed by molecular genetics. Pioglitazone was added to her treatment, and follow-up showed improvement of metabolic control 7 months after introducing pioglitazone, and improvement of insulin sensitivity 2 years later. Diabetes related to mutations of the lamin A/C gene is difficult to treat because of severe insulin resistance. Nevertheless, therapy with pioglitazone resulted in marked and sustained improvements in metabolic control and insulin sensitivity.
How strong is the evidence?
Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Metformin as an adjuvant in breast cancer treatment
- Metformin Lysosomal Targeting: A Novel Aspect to Be Investigated for Metformin Repurposing in Neurodegenerative Diseases?
- Aberrant HSF1 signaling activation underlies metformin amelioration of myocardial infarction in mice
- Metformin induces ZFP36 by mTORC1 inhibition in cervical cancer-derived cell lines
- Protein Interaction Network for Identifying Vascular Response of Metformin (Oral Antidiabetic)
- Preventing Long COVID With Metformin
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.