Unravelling the role of nanomedicine in attenuating inflammation, oxidative stress and cellular ageing in chronic obstructive pulmonary disease
Bibliographic record
Abstract
Chronic obstructive pulmonary disease is a chronic lung disease which causes obstruction and inflammation in the airways or other parts of the lung. It is often associated with structural changes in the lung due to persistent inflammation caused by prolong exposure to cigarette smoke. Other factors such as oxidative stress, chronic inflammation and cellular senescence also play a major role in the progression of the disease. Chronic inflammation is responsible for cell cycle dysfunction. Cellular senescence is associated in the pathogenesis of COPD, which can accelerate the lung aging process. Cellular senescence can elevate the level inflammatory mediators, which can comprise lung function and structure. This review explores various pathologic mechanisms which are involved in the progression of COPD. It also explores the application of nanostructure-based drug delivery systems such as solid lipid nanoparticles, polymeric nanoparticles, liposomes, nanoemulsions, dendrimers and other miscellaneous nanostructures in overcoming challenges associated with current conventional treatments for COPD. This review explores recent advancements in the field of nanostructures-based drug delivery systems for COPD treatment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".