Proteomic Analysis of Cerebellum in Common Marmoset Exposed to Methylmercury
Bibliographic record
Abstract
The cerebellum is known as the major target regions of methylmercury (MeHg) toxicity, but the mechanisms are still not fully understood. We studied the effects of MeHg exposure in the cerebellum of common marmoset (Callithrix jacchus) using a shotgun proteomic approach with liquid chromatography coupled to mass spectrometry. A total of 1000 common proteins were identified in all samples, and 102 proteins were significantly differentially expressed in the cerebellum of common marmoset with orally dosed MeHg (1.5 mg MeHg/kg body weight for 2 weeks) compared with those of the control group. Functional enrichment analysis and pathway predictions showed that the differentially expressed proteins were involved in carbohydrate derivative metabolic process, ion transport including synaptic transmission, cell development, and calcium signaling pathway. Cellular component enrichment analysis showed that they were mainly distributed in plasma membrane, excitatory synapse, and synaptic membrane. These results indicate that synaptic transmission and calcium signaling pathways are the core functions affected by MeHg. We found a total of 21 novel proteins affected by MeHg in synaptic transmission and calcium signaling pathways. DLG4: (PSD95) and MIR-19A/MIR-19B were found to be potential key targets leading to the multiple effects of MeHg neurotoxicity. These results show the global effects of MeHg on cellular functions and pathways leading to neurological deficits in common marmoset.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".