Successful therapy for protein-losing enteropathy caused by chronic neuronopathic Gaucher disease
Bibliographic record
Abstract
Gaucher disease (OMIM #230800) is caused by β-glucosidase deficiency and primarily involves the mononuclear phagocyte system (also called Reticuloendothelial System or Macrophage System). The disease is classified into three main phenotypes based on the presence or absence of neurological manifestations: non-neuronopathic (type 1), acute neuronopathic (type 2) and chronic neuronopathic (type 3). Typical manifestations include hepatosplenomegaly, skeletal deformities, hematological abnormalities, interstitial lung fibrosis and neurodegeneration in neuronopathic cases. Mesenteric lymphadenopathy with resultant protein losing enteropathy (PLE) has only been rarely described. Mesenteric lymphadenopathy may lead to intestinal lymphatic obstruction and secondary lymphangiectasia resulting in chronic diarrhea, abdominal pain and weight loss. Fecal protein loss with secondary hypoalbuminemia can be significant. We report a male with Chronic Neuronopathic Gaucher disease (GD) (homozygous for c.1448T > C (NM_000157.3) GBA mutation) who at 16 years of age developed intractable abdominal pain, diarrhea and weight loss. This was caused by PLE secondary to intestinal lymphangiectasia caused by calcified mesenteric lymphadenopathy despite prior long term enzyme replacement therapy (ERT) and/or substrate reduction therapy (SRT). His older similarly affected sister who had been receiving treatment with ERT and/or SRT remains stable on these treatments with no evidence of mesenteric lymphadenopathy. Medical management with total parenteral nutrition, daily medium chain triglyceride-oil (MCT) supplementation, low dose oral budesonide, continued oral SRT and an increased dose of parenteral ERT has stabilized his condition with resolution of the gastrointestinal symptoms and appropriate weight gain.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".