Detection of erythroblast antibodies in mitogen‐stimulated bone marrow cultures from patients with myelodysplastic syndromes
Bibliographic record
Abstract
BACKGROUND: Low-risk myelodysplastic syndromes (MDS) show several immunologic abnormalities, including increased frequency of autoimmune manifestations and/or overt autoimmune diseases, whose prognostic significance still remains controversial. STUDY DESIGN AND METHODS: We studied the presence of erythroblast antibodies in mitogen-stimulated bone marrow (BM) cultures of 70 patients with early-stage MDS (refractory anemia and refractory anemia with ringed sideroblasts). RESULTS: Sixty-six percent of patients showed positive erythroblast antibodies, along with BM erythroid hyperplasia and a hemolytic picture in the peripheral blood. Supernatants from positive cultures induced an increase of overall cellularity, the appearance of erythroblastic clustering, and dyserythropoietic signs in normal BM. We identified CD45(dim) Gly-A(dim) CD71(bright) cells (red blood cell precursors at different maturation stage) as the target of the antibodies. Erythropoietin (EPO) levels were reduced and EPO receptors (EPO-R) increased in BM culture supernatants from positive patients. However, flow cytometric analysis showed that neither EPO nor EPO-R was involved in an abnormal stimulation driven by these autoantibodies. Values of the proapoptotic protein Bax were increased in positive patients and Bcl-2 levels were decreased, although not significantly. CONCLUSION: MDS patients with anti-erythroblast autoimmunity showed increased BM apoptosis, suggesting that the autoimmune reaction may contribute to an unfavorable BM microenvironment for optimal erythropoiesis.
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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 | 0.001 | 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".