Bibliographic record
Abstract
Hydatidiform mole (HM) is an abnormal human pregnancy characterized by the absence of, or abnormal, embryonic development and hydropic degeneration of the chorionic villi. In both Canada and the United States, the incidence of HM is 1 in every 1000 pregnancies. Recently, NLRP7 has been found to be responsible for recurrent hydatidiform moles (RHM) after the identification of various mutations in this gene. To investigate the functional consequences of NLRP7 mutations on IL-1β maturation and secretion, I used site-directed mutagenesis to introduce the various mutations found in patients with RHM into WT-NLRP7. HEK293 cell lines were cotransfected with WT-NLRP7, procaspase-1, and pro-IL-1β, as well as with or without Cardinal (CARD-8.). My results demonstrate that WT-NLRP7 inhibits IL-1β secretion in a dose-dependent manner. Furthermore, I found that Cardinal (CARD8), an important component of other inflammasomes, has no impact on the inhibitory effect of WT-NLRP7. My findings strengthen the idea that NLRP7 may function as a feedback regulator of IL-1β secretion.
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".