Evaluation of sE-Selectin and sICAM-1 as Parameters for Renal Function

Prediction of acute kidney injury using a combined model of inflammatory vascular endothelium biomarkers and ultrasound indices

BACKGROUND

Acute kidney injury (AKI) is a common complication of sepsis, with the burden of long hospital admission. Early prediction of AKI is the most effective strategy for intervention and improvement of the outcomes.

OBJECTIVE

In our study, we aimed to investigate the predictive performance of the combined model using ultrasound indices (grayscale and Doppler indieces), endothelium injury (E-selectin, VCAM-1, ICAM1, Angiopoietin 2, syndecan-1, and eNOS) as well as inflammatory biomarkers (TNF-a, and IL-1β) to identify AKI.

METHODS

Sixty albino rats were divided into control and lipopolysaccharide (LPS) groups. Renal ultrasound, biochemical and immunohistological variables were recorded 6 hrs, 24 hrs, and 48 hrs after AKI.

RESULTS

Endothelium injury and inflammatory markers were found to be significantly increased early after AKI, and correlated significantly with kidney size reduction and renal resistance indices elevation.

CONCLUSIONS

Using area under the curve (AUC), the combined model was analyzed based on ultrasound and biochemical variables and provided the highest predictive value for renal injury.

Selectins and Associated Adhesion Proteins in Inflammatory disorders

Inflammation is defined as the normal response of living tissue to injury or infection. It is important to emphasize two components of this definition. First, that inflammation is a normal response and, as such, is expected to occur when tissue is damaged. Infact, if injured tissue does not exhibit signs of inflammation this would be considered abnormal and wounds and infections would never heal without inflammation. Secondly, inflammation occurs in living tissue, hence there is need for an adequate blood supply to the tissues in order to exhibit an inflammatory response. The inflammatory response may be triggered by mechanical injury, chemical toxins, and invasion by microorganisms, and hypersensitivity reactions. Three major events occur during the inflammatory response: the blood supply to the affected area is increased substantially, capillary permeability is increased, and leucocytes migrate from the capillary vessels into the surrounding interstitial spaces to the site of inflammation or injury. The inflammatory response represents a complex biological and biochemical process involving cells of the immune system and a plethora of biological mediators. Cell-to-cell communication molecules such as cytokines play an extremely important role in mediating the process of inflammation. Inflammation and platelet activation are critical phenomena in the setting of acute coronary syndromes. An extensive exposition of this complex phenomenon is beyond the scope of this article (Rankin 2004).

A common missense single nucleotide polymorphism in the E-selectin gene is significantly associated with essential hypertension in the Han population but only weakly associated in the Uygur population

Experimental and clinical observations suggest that E-selectin could have an important role in essential hypertension (EH), but the relationship between common E-selectin variants and EH has not been extensively studied in the Chinese population. In this study, we explored the association between two common variants in the E-selectin gene (rs5361A/C and rs5355C/T) and EH in the Uygur, Kazakh and Han populations in the Xinjiang area. A case-control study was conducted to explore the association between these two single-nucleotide polymorphisms and EH in a large sample size, including 941 EH subjects (309 Uygur, 264 Kazakh and 368 Han individuals) and 924 control subjects (300 Uygur, 275 Kazakh and 349 Han individuals). Univariate analysis showed that the rs5361 A/C polymorphism was significantly associated with EH in the Uygur (P=0.002) and Han (P=3.6 × 10(-7)) populations. The CC genotype of this SNP was present only in patients with EH in all of the three nationalities studied. Han individuals who carry the CC genotype of rs5361 were more susceptible to EH, according to the dominant models (P=1.13 × 10(-4), odds ratio=3.812, 95% confidence interval: 1.685-7.792), but there was no association of genotype with EH for the other ethnicities. No significant difference in rs5355 C/T polymorphism rate was found between the EH and control groups. Our results indicate that the common variant rs5361 is strongly associated with EH in Han individuals and weakly associated in Uygur individuals. The CC genotype of rs5361 might be an independent risk factor for EH among Uygur, Kazakh and Han individuals in the Xinjiang area.

Tubular proteinuria in acute kidney injury: a critical evaluation of current status and future promise

The diagnosis and prognosis of acute kidney injury (AKI) by current clinical means is inadequate. Biomarkers of kidney injury that are easily measured and unaffected by physiological variables could revolutionize the management of AKI. Our objective was to systematically review the diagnostic and prognostic utility of urine and serum biomarkers of AKI in humans. We searched MEDLINE, PubMed and EMBASE databases (January 2000–August 2009) for biomarker studies that could be classified into the following categories: (a) confirmation of the diagnosis of established AKI, (b) early prediction of AKI, and (c) prognostication of AKI. We identified 54 manuscripts published since 2000 that met our inclusion and exclusion criteria. Urinary interleukin-18 (IL-18), kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL) and N-acetyl- β-d-glucosaminidase (NAG) are potentially useful biomarkers for the diagnosis of established AKI. Urinary NGAL, IL-18, and liver-type fatty acid binding protein, and serum NGAL and cystatin C represent the most promising biomarkers for early prediction of AKI. Urinary cystatin C, α1-microglobulin, NAG and retinol-binding protein may be useful to predict severity and outcomes of AKI. In conclusion, we identified several studies of promising biomarkers for the diagnosis, prediction and prognostication of AKI. However, we note several limitations, including small sample sizes, inadequate gold standard, exclusion of patients with chronic kidney disease, incomplete statistical analyses, utilization of research-based assays and a paucity of studies examining prediction for clinical outcomes. Future studies will need to address these limitations in order for further progress to be made.

Secondary prevention of acute kidney injury

PURPOSE OF REVIEW

Secondary prevention follows identification of acute kidney injury (AKI), in which functional outcome is incomplete. Secondary prevention requires biomarkers for early diagnosis and response to appropriate treatment, on-going injury and repair, and meaningful metrics to monitor outcome. This review summarizes recent research in these areas.

RECENT FINDINGS

Proteomics and genetic studies have identified new risk factors and biomarkers of AKI. Biomarker performance studies reveal differences in prognostic performance according to population and AKI definition. The first early secondary prevention study utilizing a urinary biomarker of AKI as a triaging tool to randomize to treatment has been completed. Recent creatinine-kinetic modelling has highlighted issues with defining AKI which continue to make comparison of treatment outcomes difficult. Biomarkers to monitor repair are emerging.

SUMMARY

The prognostic performance of novel biomarkers of AKI in a range of clinical settings is encouraging and critical to effective secondary prevention. Identification of cause and time-course of specific biomarkers are required before biomarker panels for secondary prevention are developed. Agreed standards around reporting of biomarker studies would facilitate comparisons between studies. Phase-specific biomarkers are required to triage to phase-specific treatment.