Pulmonary Neuroendocrine Cells and Neuroepithelial Bodies in Sudden Infant Death Syndrome: Potential Markers of Airway Chemoreceptor Dysfunction
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Bibliographic record
Abstract
Pulmonary neuroendocrine cells (PNEC), including neuroepithelial bodies (NEB), are amine- and peptide (for example, bombesin)-producing cells that function as hypoxia/hypercapnia-sensitive chemoreceptors that could be involved in the pathophysiology of sudden infant death syndrome (SIDS). We assessed morphometrically the frequency and size of PNEC/NEB in lungs of infants who died of SIDS (n = 21) and compared them to an equal number PNEC/NEB in lungs of age-matched control infants who died of accidental death or homicide, with all cases obtained from the San Diego SIDS/SUDC Research Project database. As a marker for PNEC/NEB we used an antibody against chromogranin A (CGA), and computer-assisted morphometric analysis was employed to determine the relative frequency of PNEC per airway epithelial area (% immunostained area, %IMS), the size of NEB, the number of nuclei/NEB, and the size of the NEB cells. The lungs of SIDS infants showed significantly greater %IMS of airway epithelium (2.72 +/- 0.28 [standard error of the mean, SEM] versus 1.88 +/- 0.24; P < 0.05) and larger NEB (1557 +/- 153 microm(2) versus 1151 +/- 106 microm(2); P < 0.05) compared to control infants. The size of NEB cells was also significantly increased in SIDS cases compared to the controls (180 +/- 6.39 microm(2) versus 157 +/- 8.0 microm(2); P < 0.05), indicating the presence of hypertrophy in addition to hyperplasia. Our findings support previous studies demonstrating hyperplasia of PNEC/NEB in lungs of infants who died of SIDS. These changes could be secondary to chronic hypoxia and/or could be attributable to maturational delay. Morphometric assessment and/or measurement of the secretory products of these cells (for example, CGA, bombesin) could provide a potential biological marker for SIDS.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 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 it