Epidermal Growth Factor Receptor Expression in Human Fetal Cochlea With Turner Syndrome
Bibliographic record
Abstract
HYPOTHESIS: Growth hormones have beneficial effects on increasing height in adults with Turner syndrome (TS) and may also affect auditory function. BACKGROUND: Turner syndrome is the most common sex-linked chromosomal abnormality in female conceptions. Epidermal growth factor and its receptor (EGFR) affect differentiation, proliferation, and migration of epithelial cells and function as survival factors. The expression of EGFR is found in the developing and juvenile inner ear of experimental animals but is absent in adults. METHODS: To determine whether EGFR plays a role in TS, its expression was analyzed in the cochlea of healthy fetus and fetus with TS and in healthy adults. RESULTS: In healthy fetuses, EGFR protein expression was localized to the inner and outer hair cells and the Reissner membrane. The fetuses with TS on the 13th gestational week (GW) showed a similar pattern of immunoreactivity as the normal 16th and 20th GW cochlea. By the 23rd GW, EGFR immunoreactivity was not detectable in the TS hair cells or the Reissner membrane, and less intensive staining was found in the surrounding fibrocytes of the spiral ganglion. CONCLUSION: This is the first demonstration of EGFR immunoreactivity in the human cochlea and illustrates how EGFR expression is altered during development in TS. These findings indicate the importance of growth hormone receptors for inner ear development in humans.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".