Bibliographic record
Abstract
Atypical Hemolytic Uremic Syndrome (aHUS) is a rare condition which causes thrombosis in the renal microvasculature. Pneumococcal aHUS (P-aHUS) is a rare subtype resulting from severe Streptococcus pneumoniae infections. Although the pathophysiology of P-aHUS remains unknown, patients often present with high blood levels of sialidase, enzymes which remove terminal sialic acids from cell surface glycans. Recently, recessive mutations resulting in loss-of-function in the sialyltransferase ST3GAL1 were identified in three siblings with aHUS. To determine how sialic acid-deficiency promotes thrombosis in the renal microvasculature, the desialylated glycoproteins expressed on sialic acid-deficient endothelial cells were identified and the renal phenotypes of sialic acid-deficient rats were characterized. In total, 5 desialylated glycoproteins of interest were identified by mass spectrometry proteomics, while sialic acid-deficient rats were revealed to have significant renal microvasculature injury. The data collected provides evidence for sialic acid-deficiency as a mechanism for promoting renal thrombosis, and potentially novel targets for future study.
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 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".