Levels of leptin and adiponectin in patients with SLE, relationship with features of the course of the disease
Bibliographic record
Abstract
Annotation. The aim of the work was to establish possible differences between the levels of leptin and adiponectin in patients with systemic lupus erythematosus (SLE) and practically healthy people, as well as to identify probable patterns of changes in the levels of adipokines depending on the features of the course of the disease. We examined 79 patients with SLE and 30 practically healthy individuals of the control group. The content of leptin and adiponectin in blood serum was determined by the immunoenzymatic method according to the instructions of the manufacturer “Leptin ELISA (CAN-L-4260)” (DBC, Canada) and “Adiponectin ELISA Kit” (DBC, Canada). The SELENA-SLEDAI index was used to assess activity. Metabolic syndrome was established according to the IDF (2005) criteria. Statistical processing of the obtained results was carried out on a personal computer using the methods of parametric and non-parametric statistics using the program Statistica 12.5 (StatSoft Inc., USA) and Microsoft Excel 2016. During the study, it was found that the level of leptin was reliably 45.1% higher in patients with SLE than in the control group, which correlated with the age of the patients, the duration of the disease, the closest relationship was found with the activity of the inflammatory process according to the SLEDAI index (r=0.78) and ESR (r=0.54). SLE patients with metabolic syndrome had 60.5% higher average leptin values. According to the level of adiponectin, it is 17.8% lower in patients with SLE than in practically healthy people. With increasing age and duration of the disease, a significant decrease in the level of adiponectin was found in patients with SLE. All this determines the prospects for further research of these indicators and establishing their role in the progression of SLE.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".