Model Human β Thalassemic Erythrocytes: Effect of Unpaired Purified α-Hemoglobin Chains on Normal Erythrocytes
Bibliographic record
Abstract
β thalassemias arise from genetic defects that interfere with the synthesis of the β hemoglobin chain and the subsequent production of the normal α2β2 hemoglobin tetramer. As a consequence of this decreased β-chain synthesis, unpaired α-hemoglobin chains are found within the red blood cell (RBC). The unstable α-chains are associated with a number of cellular defects, including: membrane-bound globin; membrane thiol oxidation; altered cytoskeletal proteins; decreased cellular and membrane deformability; and increased susceptibility to both endogenous and exogenous oxidants. Surprisingly, while significant injury to human thalassemic RBC arise from the unpaired α-chains, the underlying intra-RBC mechanisms are not easily studied in patient samples or in mouse models. To better study the fate of excess α-chains in human RBC, the model β Thalassemic cell was developed. Model human β thalassemic RBC is made by entrapping purified human α-chains within normal RBC via osmotic lysis and resealing. This human model allows for the systematic examination of the mechanisms underlying the α-chain mediated damage in the β thalassemic RBC. Studies utilizing the model β thalassemic RBC have demonstrated that the α-chains give rise to an iron and glutathione-dependent, self-amplifying and self-propagating oxidative reaction.
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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) | 0.002 | 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".