Expression Study Of TMEM229B Genes In Relation With Apoptotic Pathway Of STZ Induced Diabetic Rats
Bibliographic record
Abstract
Background: Diabetes mellitus (DM) is a chronic non-communicable endocrine disorder characterized by hyperglycemia. Streptozotocin (STZ) is a naturally occurring compound which damages pancreatic β cells and has been broadly implemented to produce an animal model of DM. The cytotoxic effect of STZ accompanying the synthesis of ROS bases oxidative stress and oxidative injury in the cells. Objectives: In the present study, the effect of STZ induction on the apoptotic genes as well as the glucose metabolism has been investigated. Methods: The two groups of albino rats (each n=6) were taken. One group has been considered as the control and the other was STZ induced diabetics. Results: It has been shown that the blood sugar levels of STZ treated rats showed a significant increase as compared to the control group, whereas significant decrease (p < 0.05) in the average body weights over a period of two weeks has been observed. This gradual and significant increase in blood sugar and decrease in weights of experimental group disclosed that STZ effectively had induced diabetes in treated rats. The histopathological results of diabetic pancreas has shown lower concentration of beta cells in Langerhans islets, Acinar cell necrosis and inflammatory cell aggregation around beta cell while they are normal in control group without any inflammation. Conclusion: To conclude, the expression of apoptotic genes like BAX, p53 and Caspase 3 has been upregulated markedly in STZ induced group whereas the level was normal in the control group. All the data was normalized using GAPDH as an internal control which remained consistent in both groups. Furthermore, the expression of TMEM229B which is a major contributor of glucose metabolism has also been studied and it was intensely repressed by STZ.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".