Megakaryocyte and platelet abnormalities in a patient with a W33C mutation in the conserved SH3-like domain of myosin heavy chain IIA
Bibliographic record
Abstract
Heterozygous mutations in MYH9, which encodes non-muscle myosin heavy chain IIA (MHC-IIA), result in autosomal dominant inherited MYH9-related disorders characterised by macro-thrombocytopenia, granulocyte inclusions, variable sensorineural deafness, cataracts and nephritis. MHC-IIA is assembled into a complex consisting of two pairs of light chains and two heavy chains, where the latter contain a neck region, SH3-like, motor and rod domains. We describe a patient with a Trp33Cys missense mutation in the SH3-like domain of MHC-IIA. Abnormal platelet function was observed using platelet aggregometry with the agonists epinephrine and adenosine diphosphate (ADP). Patient granulocytes and megakaryocytes, but not platelets, contained abnormal MHC-IIA inclusions visualised by confocal immunofluorescence or electron microscopy. Megakaryocytes grown in culture were smaller and contained hypolobulated nuclei compared to controls. Bone marrow-derived megakaryocytes revealed a preponderance of immature forms, the presence of structurally diverse inclusion bodies, and frequent emperipolesis as assessed by electron microscopy. Platelets and leukocytes contained indistinguishable amounts of total MHC-IIA determined by immunoblotting. Molecular modelling studies indicated that mutation of Trp33 destabilises the interface between the SH3-like and motor domain of MHC-IIA, which is close to previously described motor domain mutations, implying an important structural and/or functional role for this region in MHC-IIA.
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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 | 0.000 |
| 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) | 0.000 | 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".