Investigation of Complement-activating Pattern Recognition Molecules and Associated Enzymes as Possible Inflammatory Markers in Oligoarticular and Systemic Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
OBJECTIVE: The complement system plays a crucial role in the pathogenesis of inflammatory processes. The lectin pathway of the complement system is activated through the recognition of pathogens by soluble pattern recognition molecules (PRM), i.e., mannan-binding lectin (MBL), collectin-LK, and the ficolins. PRM are reportedly correlated to disease activity in rheumatoid arthritis (RA). The aim was to evaluate the pathogenic role of PRM in juvenile idiopathic arthritis (JIA). METHODS: We measured MBL, M-ficolin, H-ficolin, MBL-associated serine proteases (MASP) 1, MASP-2, MASP-3, and 2 alternative splice products, MBL-associated protein (MAp) 44 and MAp19, in plasma and synovial fluid (SF) of children with persistent oligoarticular (n = 109 in plasma, n = 38 in SF) and systemic JIA (n = 19 in plasma, n = 11 in SF). The concentrations of the proteins were measured by in-house time-resolved immunofluorometric assays. RESULTS: We observed significantly higher levels of M-ficolin, MASP-1, MASP-2, and MASP-3 in plasma and SF from patients with systemic JIA compared with persistent oligoarticular JIA (p < 0.001). In paired samples of plasma and SF from 47 patients with oligoarticular and systemic JIA, we observed higher concentrations in plasma for both subtypes for 7 of the measured proteins while the reverse relationship was observed for MASP-3. M-ficolin and MASP-2 correlated to erythrocyte sedimentation rate, C-reactive protein, white blood cell count, and platelet count (p < 0.001). M-ficolin was in addition related to the number of active joints and inversely related to hemoglobin levels. CONCLUSION: Our results point to plasma M-ficolin and MASP-2 as inflammatory markers in JIA. The levels of all proteins are higher in plasma than in SF, except for MASP-3, indicating that MASP-3 may be produced locally in joints.
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 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 | 0.002 | 0.001 |
| 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) | 0.000 | 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".