Neutrophil Gelatinase-Associated Lipocalin (NGAL) as a New Biomarker for Non – Acute Kidney Injury (AKI) Diseases
Bibliographic record
Abstract
Neutrophil gelatinase-associated lipocalin, or NGAL, an acute phase protein, is part of the lipocalin family. NGAL is highly induced in inflammatory conditions and ischemia, and is a critical component of innate immunity to bacterial infection. Recently, NGAL has been proven as an emerging biomarker for predicting acute kidney injury (AKI). Meanwhile, numerous studies have also demonstrated that NGAL may be a potential biomarker for the diagnosis, prediction, prevention, and prognosis of non-AKI diseases such as chronic kidney diseases, vascular disorders, cancer, preeclampsia, and allergies. This article systematically reviews the clinical utilities of NGAL as a new biomarker for non - AKI diseases. Keywords: NGAL, biomarker, non-AKI diseases, diagnosis, Acute kidney injury, Anti-neutrophilic cytoplasmic auto-antibodies, Chronic kidney disease, Cardiovascular Disorders, Neutrophil Gelatinase-Associated Lipocalin, vascular disorders, preeclampsia
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".