Elevated Plasma Complement Factors in <i>CRB1</i>-Associated Inherited Retinal Dystrophies
Bibliographic record
Abstract
Purpose: To determine the profile of inflammation-related proteins and complement system factors in the plasma of CRB1-associated inherited retinal dystrophies (CRB1-IRDs). Methods: We used the Olink Explore 384 Inflammation II panel for targeted proteomics in 30 cases and 29 controls (cohort I) to identify immune pathways involved in CRB1-IRDs. Genotyping was performed in cohort I and a second cohort of 123 patients from 14 countries and 1292 controls (cohort II). Results: A significant shift in complement cascade factors was observed in plasma proteomes of CRB1-IRD patients (enrichment for complement cascade, Padj = 3.03 × 10-15). We detected higher plasma levels of complement factor I and complement factor H [CFH] (q = 0.008 and q = 0.046, respectively, adjusted for age and sex), inhibitors of complement component 3 (C3), which correlated significantly (Pearson's coefficient >0.6) with elevated levels of C3 (q = 0.064). The CRB1 missense variants frequently found in patients showed a strong linkage disequilibrium with the common CFH variant rs7535263 (D' = 0.97 for p.(Cys948Tyr); D' = 1.0 for p.(Arg764Cys)), known to be linked with altered plasma CFH-related protein levels. Correction for the CFH genotype revealed significantly elevated plasma levels of CFH-related 2 (CFHR2) in CRB1-IRD patients (q = 0.041). Conclusions: CRB1-IRDs are characterized by changes in plasma levels of complement factors and proteins of the innate immune system, and linkage between CRB1 and CFH genes implicates functional variants of the CFH-CFHR locus with specific pathogenic variants of CRB1.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".