Matrix Metalloproteinase-3 and Nutrition in HD-Patients with Dialysis-related Amyloidosis.
Bibliographic record
Abstract
Matrix Metalloproteinase-3 (MMP-3) has been linked to articular destruction in rheumatic arthritis. In order to examine the clinical disease activity of HD-related amyloidosis, we measured circulating MMP-3 of HD patients with post-operative carpal tunnel syndrome (CTS). Moreover, for evaluation of nutritional status, we measured mid-arm circumstance (MAC) and the ratio of extra-cellular fluid (ECF) to total body water (TBW) by a bioimpedence method. 8 patients (5M/3F) with CTS were suffering from arthralgia and emaciation, mean age 58.2(51–72), treated for an average of 23.6 years (14–31). Levels of serum MMP-3 were determined by enzyme-linked immunoassays. In other randomized 11 HD patients (7 M/4F), pre-dialysis levels of MMP-3 & IL-6 were measured together for examining the relationship between MMP-3 and IL-6. In the amyloidosis group, MMP-3 showed remarkably high levels of 558 ng/ml (227–1090). MAC and ECF/TBW ratio were 91.9%(83–102) and 0.364 (0.344–0.375), respectively. More than half of patients with arthralgia showed decreased MAC and excessive extra-cellular fluids. In the randomized group, MMP-3 and IL-6 were correlated positively each other (p = 0.0082). Conclusively, patients with the clinical disease activity of HD-related amyloidosis have high levels of MMP-3 and protein energy malnutrition. IL-6 may mediate increase of MMP-3 and malnutrition.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".