Binding of Dimethylarsinous Acid to Cys-13α of Rat Hemoglobin Is Responsible for the Retention of Arsenic in Rat Blood
Bibliographic record
Abstract
The metabolism, disposition, and carcinogenicity of arsenic differ dramatically between humans and rats. To understand the molecular basis of these differences, we have characterized arsenic species in rats that were treated with inorganic arsenate (iAsV), monomethylarsonic acid (MMAV), or dimethylarsinic acid (DMAV) for up to 15 weeks. Arsenic significantly accumulated in the red blood cells (RBCs) of rats in the form of hemoglobin (Hb) complexed with dimethylarsinous acid (DMAIII), regardless of whether the rats were treated with iAsV, MMAV, or DMAV, suggesting rapid methylation of arsenic species followed by strong binding of DMAIII to rat Hb. The binding site for DMAIII was identified to be cysteine 13 in the alpha-chain of rat Hb with a stoichiometry of 1:1. Over 99% of the total arsenic (maximum 2.5-3.5 mM) in rat RBCs was bound to Hb for all rats examined (n = 138). In contrast, only 40-49% of the total arsenic (maximum approximately 10 muM) in rat plasma was bound to proteins. The ratios of the total arsenic in RBCs to that in plasma ranged from 88-423 for rats that were fed iAsV, 100-680 for rats that were fed MMAV, and 185-1393 for rats that were fed DMAV, when samples were obtained over the 15-week exposure duration. Previous studies have shown an increase in urothelial hyperplasia in rats fed DMAV. This is the first article reporting that treatment with iAsV in the drinking water also produces urothelial hyperplasia and at an even earlier time point than dietary DMAV. Dietary MMAV produced only a slight urothelial response. A correlation between the Hb-DMAIII complex and urothelial lesion severity in rats was observed. The lack of cysteine 13alpha in human Hb may be responsible for the shorter retention of arsenic in human blood. These differences in the disposition of arsenicals may contribute to the observed differences between humans and rats in susceptibility to arsenic carcinogenicity.
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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 | 0.000 |
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".