Evaluation of biochemical profile and oxidative damage to lipids and proteins in patients with lysosomal acid lipase deficiency
Bibliographic record
Abstract
Lysosomal acid lipase deficiency (LALD) is an inborn error of metabolism that lacks satisfactory treatment, which leads to the development of severe hepatic and cardiac complications and may even lead to death. In this sense, knowledge of the mechanisms involved in the pathophysiology of this disorder becomes essential to allow the search for new therapeutic strategies. There are no studies in the literature investigating the role of reactive species and inflammatory processes in the pathophysiology of this disorder. Therefore, the aim of this work was to investigate parameters of oxidative and inflammatory stress in LALD patients. In this work, we obtained results that demonstrate that LALD patients are susceptible to oxidative stress caused by an increase in the production of free radicals, observed by the increase of 2-7-dihydrodichlorofluorescein. The decrease in sulfhydryl content reflects oxidative damage to proteins, as well as a decrease in antioxidant defenses. Likewise, the increase in urinary levels of di-tyrosine observed also demonstrates oxidative damage to proteins. Furthermore, the determination of chitotriosidase activity in the plasma of patients with LALD was significantly higher, suggesting a pro-inflammatory state. An increase in plasma oxysterol levels was observed in patients with LALD, indicating an important relationship between this disease and cholesterol metabolism and oxidative stress. Also, we observed in LALD patients increased levels of nitrate production. The positive correlation found between oxysterol levels and activity of chitotriosidase in these patients indicates a possible link between the production of reactive species and inflammation. In addition, an increase in lipid profile biomarkers such as total and low-density lipoprotein cholesterol were demonstrated in the patients, which reinforces the involvement of cholesterol metabolism. Thus, we can assume that, in LALD, oxidative and nitrosative damage, in addition to inflammatory process, play an important role in its evolution and future clinical manifestations. In this way, we can suggest that the study of the potential benefit of the use of antioxidant and anti-inflammatory substances as an adjuvant tool in the treatment will be important, which should be associated with the already recommended therapy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".