IL-17-related signature genes linked to human necrotizing enterocolitis
Bibliographic record
Abstract
OBJECTIVE: Necrotizing enterocolitis (NEC) is the most frequent life-threatening gastrointestinal disease experienced by premature infants in neonatal intensive care units all over the world. The objective of the present study was to take advantage of RNA-Seq data from the analysis of intestinal specimens of preterm infants diagnosed with NEC. Function enrichments with Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes were used to analyse previous data in order to identify biological and functional processes, which could provide more insight into the pathogenesis of NEC in infants. RESULTS: Gene set enrichment analysis indicated that the most significant biological pathways over-represented in NEC neonates were closely associated with innate immune functions. One of the striking observations was the highly modulated expression of inflammatory genes related to the IL-17 pathway including such as pro-inflammatory cytokines (CXCL8), chemokines (CXCL5 and CXCL10) and antimicrobials (DEF5A, DEF6A, LCN2, NOS2) in the intestine of neonates diagnosed with NEC. Interestingly, the increase in IL-17 expression appeared to be under the IL-17F form, as reported in Crohn's disease, another inflammatory bowel disease. Further investigation is thus still needed to determine the precise role of IL-17F and its downstream targets in NEC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".