The Measurement of the Endothelial Glycocalyx as a New Biomarker of Endothelial Derangement in Systemic Sclerosis: A Challenge for the Future
Bibliographic record
Abstract
In systemic sclerosis (SSc), the involvement of the vascular system dictates the fate of the patient1,2. In recent decades, significant attention has been devoted to understanding the mechanisms involved in the derangement of the endothelium of the microvascular system in SSc. In this perspective, many papers have investigated the consistency of endothelial markers to disclose the ongoing endothelial derangement during the progression of the disease. To date, no endothelial marker has been shown to be useful in a real-world setting, and the search for new methodologies to shed light on this important clinical need is still ongoing. The endothelial layer is the interface between the bloodstream and the vessel wall. It is well known that any modification of the endothelial function is of pivotal importance in SSc pathogenesis3,4. In fact, endothelial cells (EC) react to any humoral, neural, hemodynamic, and oxidative stress. Moreover, the endothelium affects platelet function, vessel wall inflammation, proliferation and migration of smooth muscle cells, and vascular tone control5. Therefore, endothelial derangement is of paramount importance in SSc pathogenesis. In this issue of The Journal , Machin, et al provide interesting data disclosing that microvascular structural and functional abnormalities in SSc could be due to a dysfunctional endothelial glycocalyx … Address correspondence to Dr. S. Bellando-Randone, Dept. of Experimental and Clinical Medicine, University of Florence, V.le Pieraccini 18, Florence 50139, Italy. E-mail: s.bellandorandone{at}gmail.com
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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 | 0.016 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".