Utility of labial salivary gland biopsy in the histological diagnosis of neuronal intranuclear inclusion disease
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Neuronal intranuclear inclusion disease (NIID) poses a diagnostic challenge because of its diverse clinical manifestations. Detection of intranuclear inclusions remains the primary diagnostic criterion for NIID. Skin biopsies have traditionally been used, but concerns exist regarding postoperative complications and scarring. We sought to investigate the diagnostic utility of labial salivary gland biopsy, a less invasive alternative. METHODS: This study included a total of 19 patients and 11 asymptomatic carriers who underwent labial gland biopsies, while 10 patients opted for skin biopsies. All these individuals were confirmed to have pathogenic GGC repeat expansions in the NOTCH2NLC gene. The control group comprised 20 individuals matched for age and sex, all with nonpathogenic GGC repeat expansions, and their labial gland tissue was sourced from oral surgery specimens. RESULTS: Labial gland biopsies proved to be a highly effective diagnostic method in detecting eosinophilic intranuclear inclusions in NIID patients. The inclusions showed positive staining for p62 and ubiquitin, confirming their pathological significance. The presence of uN2CpolyG protein in the labial gland tissue further supported the diagnosis. Importantly, all patients who underwent lip gland biopsy experienced fast wound healing without any noticeable scarring. In contrast, skin biopsies led to varying degrees of scarring and one instance of a localized infection. CONCLUSION: Labial salivary gland biopsy emerged as a minimally invasive, efficient diagnostic method for NIID, with rapid healing and excellent sensitivity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".