Changes in gene expression of lactate carriers (MCT1 and CD147) in cardiac muscle of diabetic male rats: the effect of dichloroacetate and endurance training
Bibliographic record
Abstract
Lactate accumulation can activate the pathways of mitochondrial biogenesis in the heart muscle. The purpose of this study was to investigate the effects of Pyruvate Dehydrogenase Kinase 4 (PDK4) inhibition and endurance training on the gene expression of lactate carriers (MCT1 and CD147) in the cardiac muscle of STZ-diabetic rats. In this experimental study, 64 male Wistar rats were selected and randomly divided into eight groups after induction of diabetes with streptozotocin (STZ). The endurance training protocol was performed on a treadmill for 6 weeks. Intraperitoneal injection of DCA of 50 mg/ kg body weight was used for the inhibition of PDK4 in the myocardium. Gene expression were measured using real-time PCR. The two-way ANOVA test was used to analyze the data. The results of the study showed that after endurance training, the expression of MCT1, PDK4, and CD147 genes increased significantly in line with each other (P < 0.05), and by inhibition of PDK4 in the heart muscle, the expression of MCT1 and CD147 genes in the endurance training group + diabetes + DCA and in the diabetes group + DCA decreased significantly (P < 0.05). According to the results of this study, it can be concluded that the repeated accumulation of lactate caused by exercise training in diabetic patients decrease through mitochondrial adaptation by DCA injection and subsequently oxidative stress can be reduced in cardiac tissue of diabetic patients and heart efficacy can be increased.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".