Hyperinsulinemia and Insulin Resistance in Dopamine β-Hydroxylase Deficiency
Bibliographic record
Abstract
Context: Dopamine β-hydroxylase (DBH) deficiency is a rare genetic disorder characterized by failure to convert dopamine to norepinephrine. DBH-deficient patients lack sympathetic adrenergic function and are therefore predisposed to orthostatic hypotension. DBH-deficient mice exhibit hyperinsulinemia, lower plasma glucose levels, and insulin resistance due to loss of tonic sympathetic inhibition of insulin secretion. The impact of DBH deficiency on glucose homeostasis in humans is unknown. Case Description: We describe the metabolic profile of an adolescent female DBH-deficient patient. The patient underwent genetic testing, cardiovascular autonomic function testing, and evaluation of insulin secretion and sensitivity with hyperglycemic clamp under treatment-naive conditions. All procedures were repeated after 1 year of treatment with the norepinephrine prodrug droxidopa (300 mg, 3 times a day). Genetic testing showed a homozygous mutation in the DBH gene (rs74853476). Under treatment-naive conditions, she had undetectable plasma epinephrine and norepinephrine levels, resulting in sympathetic noradrenergic failure and orthostatic hypotension (-32 mm Hg supine to seated). She had high adiposity (41%) and fasting plasma insulin levels (25 μU/mL), with normal glucose (91 mg/dL). Hyperglycemic clamp revealed increased glucose-stimulated insulin secretion and insulin resistance. Droxidopa restored plasma norepinephrine and improved orthostatic tolerance, with modest effects on glucose homeostasis. Conclusions: We provide evidence for impairment in cardiovascular autonomic regulation, hyperinsulinemia, enhanced glucose-stimulated insulin secretion, and insulin resistance in a DBH-deficient patient. These metabolic derangements were not corrected by chronic droxidopa treatment. These findings provide insight into the pathophysiology and treatment of DBH deficiency and into the importance of catecholaminergic mechanisms to resting metabolism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".