Reduction in myocardial fibrosis in MDX mice on oral consumption of <i>Aureobasidium Pullulans</i> produced Neu REFIX Beta-glucans; holds potential as an adjuvant in managing post-transplantation organ fibrosis
Bibliographic record
Abstract
Abstract Organ fibrosis is one of the major causes of morbidity and mortality globally. Though fibrosis in genetic diseases such as Duchenne muscular dystrophy (DMD) may be attributed to the genetic defect, chronic microinflammation remains a key mechanism underlying such fibrosis, which also precedes both other organ fibrosis and post-organ transplant fibrosis. Having proven the anti-inflammatory, anti-fibrotic effects of Beta-1,3-1,6-glucan (Neu-REFIX) produced by N-163 strain of Aureobasidium Pullulans in earlier clinical and pre-clinical studies, we performed the current study to evaluate its effects on myocardial fibrosis. N-163 beta-glucan was administered to 45 mice in three groups, each fifteen animals, Gr. 1, normal mice, Gr.2, mdx mice as vehicle, Gr.3, mdx mice which were administered Neu REFIX beta-glucan orally. Evaluation of Collagen Type I (Col-I) in myocardium was performed by immunohistochemistry. Percentage of myocardium Col-I positive area of 6.42 ± 2.67 significantly decreased in the Neu-REFIX group (4.32 ± 1.78) (p-value < 0.01). As myocardial fibrosis has been shown to be reduced following treatment with N-163 beta glucan in a genetic, muscle structure anomaly disease such as DMD, in addition to adding value to DMD patients, in whom myocardial failure occurs in the advanced stages leading to pre-mature death, Neu-REFIX beta-glucan adjuvant treatment in the setting of solid organ transplantation may be of value to reduce the incidence of fibrosis which is a known feature of chronic allograft rejection leading to graft loss.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".