The Perlecan Fragment LG3 Is a Novel Regulator of Obliterative Remodeling Associated With Allograft Vascular Rejection
Bibliographic record
Abstract
RATIONALE: Endothelial apoptosis is increased in association with acute and chronic vascular rejection (VR) of solid allografts. Apoptotic endothelial cells (EC) release LG3, a C-terminal fragment of perlecan of potential importance in vascular remodeling and neointima formation. OBJECTIVE: Our 2 goals were to determine whether circulating levels of LG3 are increased in association with acute VR of renal allografts and to evaluate the impact of LG3 on vascular remodeling. METHODS AND RESULTS: We conducted a case-control study to compare serum LG3 levels in human renal transplant patients with acute VR, tubulo-interstitial rejection (ATIR) and normal graft function. Aorta transplantation between fully MHC-mismatched mice in association with intravenous LG3 injection was used to characterize the impact of LG3 on vascular remodeling. Scratch assays evaluated the promigratory activity of LG3 on vascular smooth muscle cells (VSMC) in vitro. Serum LG3 levels were significantly elevated in human renal transplant patients with acute VR (n = 16) compared to ATIR (n = 16) and normal graft function (n = 32, P = 0.004). In patients with acute VR, graft loss was associated with elevated LG3 levels. Increasing LG3 serum levels in aortic allograft recipients significantly increased neointima formation. LG3 injection fostered accumulation of α-smooth muscle actin-positive cells and decreased the number of CD31 positive EC. LG3 increased the migration of VSMC through extracellular signal-regulated kinases 1/2-dependent pathways. CONCLUSION: These results indicate that LG3 is a novel regulator of obliterative vascular remodeling during rejection.
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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) | 0.001 | 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".