Postnatal impairments of auditory acuity and neural transmission times induced by maternal iron deficiency
Bibliographic record
Abstract
Iron deficiency (ID) is believed to affect central nervous system (CNS) on several aspects such as myelinogenesis, neurotransmitter synthesis and brain fatty acid metabolism. While most findings in humans investigated ID during post natal periods, our study aimed to evaluate consequences of moderate maternal ID on CNS development in guinea pig offspring. We used auditory brainstem response (ABR) to assess neurophysiologic auditory function and neural transmission times (NTT). Females were fed an iron sufficient (IS) or deficient (ID) diet during the gestation and lactation periods. ID appeared in the third trimester of pregnancy for the ID group. On post natal day 9 (PND9), an IS diet was introduced to wean offspring from both groups. ABR was measured on PND24 using descending intensities and various frequencies (2 to 32 kHz). ID pups had significantly elevated ABR thresholds (hearing loss) at 2, 16 and 32 kHz. NTT seemed to demonstrate shorter inter peak latencies for offspring born to ID dams. A delay in the appearance of the first neural nucleus is likely to be the explanation, whereas later relays did not differ among the two groups. Our study demonstrates that a moderate maternal ID adversely impairs the auditory functions of pups born to ID females. These results suggest that maternal ID may alter the CNS myelinogenesis in the progeny. Support: Canadian Institutes of Health Research and the Canada Research Chairs.
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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) | 0.000 | 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 | 0.001 |
| 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".