Physiologically relevant hCys concentrations mobilize MeHg from rabbit serum albumin to form MeHg–hCys complexes
Bibliographic record
Abstract
Methylmercury (MeHg) is one of the most potent neurotoxins to which humans are exposed via the consumption of fish, from which it is effectively absorbed via the gastrointestinal tract into the bloodstream. Its interactions with plasma proteins, small-molecular-weight (SMW) molecules, and red blood cells, however, are incompletely understood, but critical as they determine whether and how much MeHg reaches target organs. To better define the role that SMW thiols play in the delivery of MeHg to known transporters located at the placental and blood-brain barrier, we have employed size exclusion chromatography-inductively coupled plasma-atomic emission spectroscopy to analyze MeHg-spiked rabbit plasma in the absence and presence of SMW thiols dissolved in the phosphate-buffered saline buffer mobile phase. While 300 μM methionine did not affect the binding of MeHg to rabbit serum albumin (RSA), cysteine (Cys), homocysteine (hCys), and glutathione resulted in the elution of the main Hg peak in the SMW elution range. In addition, 50 μM of hCys or Cys in the mobile phase resulted in the mobilization of MeHg from RSA in rabbit plasma and from pure RSA in solution. The Hg peak that eluted in the SMW elution range (50 μM of hCys) was identified by electrospray ionization-mass spectrometry as an MeHg-hCys complex. Since l-type amino acid transporters are present at the blood-brain barrier (BBB), which facilitate the uptake of MeHg-Cys species into the brain, our results contribute to establish the bioinorganic mechanisms that deliver MeHg to the BBB, which is critical to predict organ-based adverse health effects.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".