Comparison of Different Blockages on the Renin Angiotensin System in Murine Schistosomal Fibrosis.
Bibliographic record
Abstract
The inhibition of the renin-angiotensin system (RAS) display anti-fibrogenic effects in liver cirrhosis, however RAS influence on schistosomal fibrosis has not been totally clarified. Thus, our objective was to compare the activities of different antihypertensive drugs on the inhibition of the RAS in murine schistosomal fibrosis. BALB/c mice (n=40) weighing 20g were subjected to inoculation of 50 cercariae and subdivided in three groups: the first group (n=15), animals were treated with losartan (10 mgkg-1 body weight); the second group (n=15) was treated with lisinopril (10 mgkg-1 body weight); while the third group (n=10) was treated with proportional volume of 0.9% NaCl, daily for 12 weeks. For this purpose, histological analysis, RT-PCR of genes related to hepatic fibrosis, as well as TGF1 and p42/44 MAPK protein quantification were evaluated. There was observed a decrease in the collagen deposits in animals treated with losartan (p<0.01) and lisinopril (p<0.01) once compared to the controls. This improvement was accompanied by a reduction of -SMA labeled cells (p<0.001 and p<0.001) and procollagen 1(I) gene expression in both treated groups (p<0.05 and p<0.05). However, only losartan induced diminution of TGF1 and TIMP1 gene expression (p<0.01 and p<0.01), and TGF1 protein amount. Diversely, p42/44 MAPK protein was augmented in lisinopril group. Our findings demonstrated the effect of lisinopril and losartan on the decrease of hepatic fibrosis in murine schistosomiasis. The main mechanism of this process involves anti-fibrogenic activity via inhibition of TGF1 and TIMP1 by losartan treatment.Nevertheless, other possible mechanisms associated to lisinopril treatment may be implicated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".