Variants in Interferon Lambda are Associated with Very Early Onset Inflammatory Bowel Disease
Bibliographic record
Abstract
Abstract Inflammatory bowel diseases (IBD) are chronic inflammatory disorders of the intestine that affect children and adults. The etiology is multifactorial with the contribution of genetic, immune, microbial, and environmental risk factors with a substantial involvement of host:microbial cross-talk in the lumen. Whether and how antiviral responses contribute to IBD pathogenesis is under intense investigation. Here, we identified two unrelated patients diagnosed with very early onset IBD (VEOIBD) with rare variants in type III Interferons (IFNs), also known as interferon lambdas (IFNλs), a group of IFNs that play key roles in the protection against enteric viruses. The first patient was found to have homozygous variants in both IFNL2 and IFNL3 , the genes encoding, IFN-λ2 and IFN-λ3, respectively. The second patient was found to have inherited compound heterozygous variants in IFNL3 , with one of the two alleles bearing the same variant as the first patient. Functional analyses revealed that the proteins coded for by these variant IFN-λ genes exhibited defects in the induction of IFN signaling. More detailed assessment of the variants identified in Patient 1 demonstrated defects in their ability to bind to IFN-λ receptor 1 (IFNLR1), as well as their ability to induce heterodimerization of IFNLR1 and IL10RB, which together compromise the functional receptor for IFN-λ (IFNLR). These patient-encoded IFN-λ variants also exhibit defects in the ability to induce robust downstream IFN-stimulated genes (ISGs) in patient-derived intestinal organoids. All in all, we demonstrate that VEOIBD is associated with variants in IFN-λs and defective induction of downstream IFN signaling.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".