Significance of Mannan Binding Lectin-Associated Serine Protease 2 in Urinary Extracellular Vesicles in IgA Nephropathy
Bibliographic record
Abstract
PURPOSE: Immunoglobulin A (IgA) nephropathy (IgAN) is a common chronic glomerulonephritis and the main cause of end-stage renal diseases. Recent evidence suggests that mannan binding lectin associated serine proteases 2 (MASP2) is related to IgAN; therefore, we investigated the expression and significance of MASP2 in serum and urinary extracellular vesicles (UEVs) in patients with IgAN. METHODS: Thirty-eight patients with IgAN and 17 healthy controls were enrolled in this study. UEVs were extracted by ultracentrifugation. The separation by ultra-high-speed centrifuge was verified by transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA). Candidate internal references (TSG101, CD9, flotillin, β-actin and GAPDH) were identified by western blotting in the control group, and the expression of MASP2 in the UEVs was compared. The levels of MASP2 in the serum and UEVs in the IgAN and control groups were determined by enzyme-linked immunosorbent assay (ELISA). RESULTS: TEM and NTA results demonstrated that UEVs were successfully extracted. Western blotting results confirmed that TSG101 was suitable as an internal reference for this study. Compared with the control group, the IgAN group showed positive expression of MASP2. MASP2 levels in the UEVs, determined by ELISA, showed significant differences between IgAN and control groups, which were significantly positively correlated with the level of urinary microalbumin. CONCLUSIONS: The level of MASP2 in UEVs was related to IgAN and shows promise as a biomarker for evaluating the severity of renal injury and prognosis of IgAN, thereby helping to elucidate the role of MASP2 in the mannan-binding lectin pathway.
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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 | 0.000 |
| 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 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".