Effect of plasma free fatty acids on lung function in male COPD patients
Bibliographic record
Abstract
Inflammation and oxidative stress play a pivotal role in COPD pathogenesis. Free fatty acids (FFA) as signaling molecules through a series of G-proteins coupled receptors, play an important role in regulation of the immune system and oxidative stress. For this reason, we decided to investigate the profile of FFA in the plasma in the COPD patients. This is a case-control study comparing 40 male patients with COPD and 40 healthy controls. Biochemical plasma parameters were measured by Autoanalyzer, Malondialdehyde by TBA, total antioxidant capacity via FRAP method and the concentration of free fatty acids were measured by gas chromatography. Then the relationship between the data and the spirometric findings of the patients was determined. In male COPD patients, fasting glucose, myristic acid, palmitic acid, stearic acid, oleic acid, elaidic acid, linoleic acid, linolenic acid and total FFA showed a significant difference with the control group. Also, a positive correlation between the medium chain FFA and lung function was observed. The results of the present study showed that the concentration of different free fatty acids is different in healthy people and male COPD patients, and these differences, especially in the case of medium and long chain fatty acids, can be related to the lung function.
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 | 0.001 |
| 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 | 0.000 |
| 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".