CD38 Coordinates with NF-κB to Promote Cochlear Inflammation in Noise-Induced Hearing Loss: the Protective Effect of Apigenin
Bibliographic record
Abstract
Noise exposure is one of the most common causes of sensorineural hearing loss. Although many studies considered inflammation to be a major contributor to noise-induced hearing loss, the process of cochlear inflammation is still unclear. Studies have found that activation of the NF-κB signaling pathway results in the accumulation of macrophages in the inner ear plays an important role in hair cell damage. In this study, tandem mass tag (TMT) technique was used to analyze the changes in basilar membrane proteome expression before and after acoustic injury. After noise exposure, the nicotinamide adenine dinucleotide (NAD) metabolism level was decreased, and the NF-κB signaling pathway was activated. The expression of CD38, the main NAD hydrolase in mammals, may directly lead to inflammation onset. Then, anakinra, an IL-1 receptor blocker, and apigenin, a CD38 inhibitor, were administered to animals to protect against noise-induced hearing loss. Our results showed that anakinra had little influence on the hearing threshold shift, while apigenin significantly reduce the threshold shift of hearing by inhibiting the expression of NF-κB and CD38 can be a promising target for protecting against noise-induced hearing loss.
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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 | 0.000 | 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 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".