Plasma collagen neoepitopes are associated with multiorgan disease in the ACCESS and GRADS sarcoidosis cohorts
Bibliographic record
Abstract
INTRODUCTION: The pathogenesis of sarcoidosis involves tissue remodelling mediated by the accumulation of abnormal extracellular matrix, which is partly the result of an imbalance in collagen synthesis, cross-linking and degradation. During this process, collagen fragments or neoepitopes, are released into the circulation. The significance of these circulating collagen neoepitopes in sarcoidosis remains unknown. METHODS: We employed plasma samples from patients with sarcoidosis enrolled in A Case Control Etiologic Study of Sarcoidosis (ACCESS) and Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS), and healthy control patients recruited from the Yale community. Plasma concentrations of type III and VI collagen degradation (C3M and C6M) and formation (PRO-C3 and PRO-C6) were quantified via neoepitope-specific competitive ELISA, and statistical associations were sought with clinical phenotypes. RESULTS: Relative to healthy controls, the plasma of both sarcoidosis cohorts was enriched for C3M and C6M, irrespective of corticosteroid use and disease duration. While circulating collagen neoepitopes were independent of Scadding stage, there was a significant association between multiorgan disease and PRO-C3, PRO-C6 and C3M in the ACCESS cohort; PRO-C3 and C6M displayed this property in GRADS. These findings were unrelated to plasma levels of interleukin-4 (IL-4), IL-5, IL-6, IL-9, IL-10 and IL-13. Moreover, PRO-C3 was associated with dermatological disease in both cohorts. DISCUSSION: In two well-characterised sarcoidosis cohorts, we discovered that the plasma is enriched for neoepitopes of collagen degradation (C3M and C6M). In multiorgan disease, there was an association with circulating neoepitopes of type III formation (PRO-C3), perhaps mediated by dermatological sarcoidosis. Further investigation in this arena has the potential to foster new insights into the pathogenic mechanisms of this complex disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".