Neuroprotective potential of saroglitazar in <scp>6‐OHDA</scp> induced Parkinson's disease in rats
Why this work is in the frame
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Bibliographic record
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder that affects 2%-3% of the population worldwide. Clinical presentation of PD includes motor and non-motor symptoms. The interplay between pathogenic factors such as increased oxidative stress, neuroinflammation, mitochondrial dysfunction and apoptosis are responsible for neurodegeneration in PD. Intrastriatal administration of 6-hydroxy dopamine (6-OHDA) in rat brain provoked oxidative and nitrosative stress by decreasing endogenous antioxidants such as superoxide dismutase, catalase, glutathione, glutathione peroxidase and glutathione reductase. Consequently, interleukin-6, tumour necrosis-α, interferon-γ and cyclooxygenase-2 mediated neuroinflammation leads to mitochondrial dysfunction, involving inhibition of complex-II and IV activities, followed by apoptosis and degeneration of striatal dopaminergic neurons. Degeneration of dopaminergic neurons resulted in reduced dopamine turnover, consequently induced behavioural abnormalities in rats. Activation of peroxisome proliferator-activated receptors (PPARs) have protective role in PD by modulating response of antioxidant enzymes, neuroinflammation and apoptosis in various animal models of PD. Saroglitazar (SG) being dual PPAR-α/γ agonist activates both PPAR-α and PPAR-γ receptors and provide neuroprotection by reducing oxidative stress, neuroinflammation, mitochondrial dysfunction and apoptosis of dopaminergic cells in 6-OHDA induced PD in rats. Thereby, SG restored striatal histopathological damage and dopamine concentration in rat striatum, and behavioural alterations in rats. Thus, SG proved neuroprotective effects in rat model of PD. Potential benefits of SG in rat model of PD advocates to consider it for further preclinical and clinical evaluation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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 it