Soluble E-cadherin in Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: E-cadherin is a potent adherens junction molecule implicated in tissue morphogenesis, epithelial functioning, and immune regulation. Serum levels of soluble E-cadherin (sE-cadherin), an end product of proteolytic cleavage of E-cadherin, is increased in patients with cancer, infections, and inflammation-related diseases. The aim of our study was to measure serum levels of sE-cadherin in systemic lupus erythematosus (SLE) and to determine associations between serum levels of sE-cadherin and markers of inflammation and organ damage in female patients with SLE. METHODS: Serum levels of sE-cadherin were analyzed by ELISA in 150 female patients with SLE and 31 healthy women. Simple and multiple regression analyses between sE-cadherin levels and disease-related variables were performed in patients with SLE. RESULTS: Serum levels of sE-cadherin were elevated in patients with SLE compared with levels in healthy controls. sE-cadherin levels correlated positively with age, disease duration, SLE Collaborating Clinics Damage Index, erythrocyte sedimentation rate (ESR), s-creatinine, cholesterol, triglycerides, interleukin 6, and matrix metalloproteinase-3. In multiple regression analysis, s-creatinine, age, ESR, and triglycerides remained determinants of sE-cadherin. Within the patients with SLE, higher sE-cadherin levels were found only in patients with renal damage, i.e., s-creatinine > 90 μmol/l, glomerular filtration rate < 50 ml/min, or renal involvement ever by SLE. CONCLUSION: Our study demonstrates significantly elevated serum levels of sE-cadherin in women with SLE compared with healthy women. The levels of sE-cadherin were positively correlated to s-creatinine, age, ESR, and triglycerides. Significantly elevated sE-cadherin levels were observed only in patients with renal damage.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".