Mitochondrial Metabolic Reprogramming along with NRF2/KEAP1-Mediated Antioxidant Mechanisms Drive Temozolomide Resistance in Glioblastoma Multiforme
Bibliographic record
Abstract
Temozolomide (TMZ) is a frontline chemotherapeutic agent for glioblastoma multiforme (GBM); however, approximately half of patients develop resistance to therapy. This study investigates the role of altered cellular bioenergetics and metabolism in the acquired TMZ resistance. Using untargeted metabolomics, we explored the metabolic rewiring in TMZ-resistant GBM cells and identified key alterations in glycolysis, the tricarboxylic acid (TCA) cycle, fatty acid metabolism, and amino acid metabolism, all might be linked to cellular proliferation. Our findings suggest that while glycolysis remains important, increased TCA cycle activity contributes to the drug resistance, supported by increased levels of mitochondrial mass and mitochondrial membrane potential. We observed significantly elevated glutamine levels, which may enhance mitochondrial activity, thereby supporting increased energy production. Furthermore, resistant cells exhibited enhanced NRF2 level in parallel with higher levels of antioxidants, including glutathione and catalase enzyme, and a concomitant decrease in the level of its negative regulator, KEAP1. These factors collectively may contribute to drug resistance by mitigating oxidative stress. These findings indicate that mitochondrial metabolic reprogramming and NRF2/KEAP1-mediated antioxidant defense mechanisms play a crucial role in TMZ resistance, and targeting these pathways may offer a novel strategy to overcome resistance in GBM therapy.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.000 | 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".