Mouse Models of Autoimmune Diseases: Immune Thrombocytopenia
Bibliographic record
Abstract
Immune thrombocytopenia or ITP is a debilitating and life-threatening disorder affecting more than 4 in every 10, 000 adults annually. Following a basic understanding of the immunopathology underlying ITP, namely that production of anti-platelet antibodies results in accelerated platelet clearance and thrombocytopenia, animal models of ITP were quickly developed. Rodent models that develop ITP spontaneously or by passive transfer of anti-platelet sera or antibodies have become instrumental in investigating the mechanisms responsible for the breakdown of tolerance in human ITP, understanding the immunopathology that underlies the progression of platelet destruction, elucidating the mechanism(s) of therapeutic amelioration of the ITP, and driving the development of new therapeutic modalities. This review aims to capture the development history and methodology of currently available ITP disease models, and review their advantages and limitations in the study of various aspects of ITP. We also review how closely the various ITP models reflect the pathobiology of human ITP and their usefulness in advancing the development of new therapeutics, which are particularly needed to address the unmet need of patients who are refractory to the currently available repertoire of interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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 | 0.001 |
| 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".