The elusive task of biomarkers of renal injury

Neutrophil gelatinase-associated lipocalin (NGAL) is one of the most promising candidate biomarkers of renal injury, with expression in renal tissue increasing dramatically after ischemia-reperfusion injury but not in the case of pure pre-renal failure. In a recent issue of Critical Care, Di Somma and colleagues reported that NGAL could improve the classification of acute kidney injury compared with clinical assessment and showed that NGAL was associated with poor prognosis. NGAL may therefore carry different information than biomarkers of renal function. This study finally provides additional evidence for the highly complex relationship between renal function and renal injury.

insights [1]. Th e study included patients admitted to hospital from the emergency room, to assess the diagnosis and prognosis value of plasmatic NGAL using a point-of-care method. Th e authors attempted a multidimensional approach including the NGAL level combined with the initial clinical assessment of risk of presumed AKI by the caring physician. In a Net Reclassifi cation Improvement analysis, NGAL improved classi fica tion of AKI by 32.4%. Th is improvement occurred mainly by moving patients from the AKI to the no-AKI subgroups. NGAL was confi rmed to have a high predictive negative value in this population with low prevalence of AKI.
At fi rst glance, these results suggest that NGAL has an additional diagnostic value to clinical suspicion, which is a crucial requirement for a new biomarker to improve the predictive accuracy of the standard of care. Looking deeper, this study highlights concerns regarding the clinical validation of bio markers of renal injury. Interestingly, the authors excluded acute renal dysfunctions from AKI, a classi fi cation that referred to a subset of disease characterized by transient decline of the glomerular fi ltration rate with presumed no or minor structural damage (similarly to pre-renal AKI) [4]. Th is study adds evidence to the recent study from Nejat and colleagues that these classifi cations based on clinical presumption may be erroneous, with increased serum levels of both biomarkers of renal function and injury in these subsets of patients [5]. Using classifi cations based on markers of glomerular function (Acute Kidney Injury Network/Risk Injury Failure Loss Endstage/Kidney Disease: Improving Global Outcomes) to validate biomarkers of renal injury introduces the risk of diverting such biomarkers from their true goal and signifi cance, namely to detect organ damage. Using classifi cations based on a clinical assumption of pure pre-renal mechanism of renal failure obviously further exposes the patient to misclassifi cation of outcome. Although an association exists between organ injury and the inherent loss of function, the relationship is obviously complex and may vary with respect to the causative process [6,7].
Th e infl uence of comorbidities adds further complexity. Intriguingly, urine NGAL has been associated with longterm cardiovascular mortality in a cohort of older Abstract Neutrophil gelatinase-associated lipocalin (NGAL) is one of the most promising candidate biomarkers of renal injury, with expression in renal tissue increasing dramatically after ischemia-reperfusion injury but not in the case of pure pre-renal failure. In a recent issue of Critical Care, Di Somma and colleagues reported that NGAL could improve the classifi cation of acute kidney injury compared with clinical assessment and showed that NGAL was associated with poor prognosis. NGAL may therefore carry diff erent information than biomarkers of renal function. This study fi nally provides additional evidence for the highly complex relationship between renal function and renal injury. community-dwelling adults with no past history of clinical cardiovascular disease with a median level of 192 ng/ml, higher than the threshold proposed for detection of AKI in the study by Di Somma and colleagues (that is, 150 ng/ml), refl ecting a high noise/ signal ratio for the diagnosis of renal failure (which semantically better defi nes altered glomerular function) [8]. Th e expectation that a single biomarker (with a much hunted critical threshold) could at the same time capture these mechanisms of disease and could accurately predict the loss of function and/or stage of kidney injury is therefore obviously fl awed. By analogy, who would expect increased serum troponin to accurately detect or predict heart failure? Other (bio)markers can do so.
NGAL carries risk information beyond markers of renal function and clinical assessment. In the present study NGAL did not perform better than the estimated glomerular fi ltration rate or clinical judgment, which share common criteria with the clinical endpoint (namely serum creatinine and estimated glomerular fi ltration rate) -further suggesting that these biomarkers provide diff erent information, including a prognostic value [9]. Is it time for intensivists to operate the paradigm shift at the bedside in the way we assess AKI by using NGAL to monitor renal damage? Further exploration of the association between biomarkers of renal function, biomarkers of renal injury and prognosis appears a crucial next step before doing so. Th e results of an ongoing large multi center study assessing the association between NGAL and 1-year outcome in ICU patients will provide impor tant insights into this issue (FROG-ICU trial, ClinicalTrials.gov:NCT01367093). Exploration of the links between hits, damage and driving forces of renal failure through the sources of diff erent biomarkers [1], identifi cation of the NGAL pathways (that is, systemic infl ammation, chronic renal injury, acute renal injury, and so forth) [10] and increased specifi city of biomarkers toward renal injury is then required [11,12] (Figure 1). Most importantly, intensivists and emergency physicians should explore whether risk stratifi cation using NGAL will translate in clinical decision-making.
In conclusion, current defi nitions of AKI are based on renal function biomarkers that carry diff erent information than biomarkers of injury. NGAL can detect renal injury, and does so pretty well. Injury does not always translate into renal failure, however, and the converse holds true. Future research should aim at clarifying what we are really looking at with biomarkers of kidney injury, including NGAL, and what are the clinical implications. Pending these advance ments, we certainly have to accept that injury is not function and that in most conditions trying to predict renal failure with biomarkers of injury will remain an elusive task.

Competing interests
The authors declare that they have no competing interests.  Several lines of evidence suggest that a rise of serum or urine level of neutrophil-gelatinase associated lipocalin (NGAL) might outweigh biomarkers of renal function for prediction of adverse outcome (that is, mortality). Further prospective studies should confi rm these fi ndings. Dashed lines enclose potential eff ectors linking biomarkers of renal function (for example, serum creatinine) and renal injury (for example, NGAL) to poor outcome. These factors can aff ect the serum level of these biomarkers (+) but can also infl uence outcome (-). Further research should explore the signifi cance of these associations and will unveil the specifi city of the biomarkers toward renal injury.