Emerging clinical and experimental evidence for the role of lipocalin‐2 in metabolic syndrome
Bibliographic record
Abstract
The inflammatory state, which is associated with the current pandemic of obesity, has been established as an important contributing pathogenic factor to the increased prevalence of the so-called metabolic syndrome. Many studies have focused on the contribution of various adipokines to this phenomenon, and in the present study, we provide an update on the emerging evidence that the pro-inflammatory factor, lipocalin-2, might influence various aspects of metabolic syndrome. Previous reports indicate a positive correlation of serum lipocalin-2 with fasting glucose, the homeostasis model assessment of insulin resistance index, and the inflammatory marker high-sensitivity C-reactive protein, even after adjustment for body mass index, suggesting that it is an independent risk factor for insulin resistance, diabetes, and inflammation. Direct analysis of lipocalin-2 action now also shows effects on peripheral metabolism and on cardiovascular function. A better understanding of how lipocalin-2 is regulated locally and systemically is crucial for adding to our understanding of the pathogenesis of metabolic syndrome, and to uncover potential new avenues for therapeutic approaches.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".