Urine biomarkers for monitoring acute kidney injury in premature infants

Implementation Strategies for Baby NINJA (Nephrotoxic Injury Negated by Just-in-Time Action) to Prevent Neonatal Medication-Induced Kidney Injury

Acute kidney injury (AKI) is a common complication among patients admitted to the neonatal intensive care unit. Nephrotoxic medications (NTMs) are known to increase the incidence of AKI, but the use of these -medications is often unavoidable. Baby NINJA (Nephrotoxic Injury Negated by Just-in-Time Action) is a -quality improvement (QI) project that may be implemented at individual institutions and aims to systematically identify AKI in neonates and infants receiving NTMs. The purpose of this review is to describe nephrotoxic AKI in the neonatal population, introduce the Baby NINJA QI project and its potential to reduce neonatal AKI, and outline strategies for effective implementation of Baby NINJA.

Urine acute kidney injury biomarkers in extremely low gestational age neonates: a nested case control study of 21 candidate urine biomarkers

BACKGROUND

Acute kidney injury (AKI) is common and is associated with poor clinical outcomes in premature neonates. Urine biomarkers hold the promise to improve our understanding and care of patients with kidney disease. Because kidney maturation and gender can impact urine biomarker values in extremely low gestational age neonates (ELGANs), careful control of gestational age (GA) and time is critical to any urine biomarker studies in neonates.

METHODS

To improve our understanding of the potential use of urine biomarkers to detect AKI during the first postnatal weeks, we performed a nested case-control study to evaluate 21 candidate urine AKI biomarkers. Cases include 20 ELGANs with severe AKI. Each case was matched with 2 controls for the same GA week (rounded down to the nearest week), gender, and birth weight (BW) (± 50 g).

RESULTS

Urine cystatin C, creatinine, ghrelin, fibroblast growth factor-23 (FGF23), tissue metalloproteinase 2 (TIMP2) and vascular endothelial growth factor A (VEGFa) concentrations were higher in ELGANs with early severe AKI compared to matched control subjects without AKI. Urine epidermal growth factor (EGF) and uromodulin (UMOD) concentrations are lower in cases than controls. Interleukin (IL)-15 was lower on day 1, but higher on day 8 in cases than controls; while VEGFa was lower on day 1, but higher on day 5 in cases than controls.

CONCLUSION

Urine biomarkers hold the promise to improve our ability to reliably detect kidney injury. Interventional studies are needed to determine the biomarkers' ability to predict outcomes, enhance AKI phenotypes, and improve timely interventions which can prevent the sequalae of AKI in ELGANs. A higher resolution version of the Graphical abstract is available as Supplementary information.

Gestational age, sex, and time affect urine biomarker concentrations in extremely low gestational age neonates

BACKGROUND

Our understanding of the normative concentrations of urine biomarkers in premature neonates is limited.

METHODS

We evaluated urine from 750 extremely low gestational age (GA) neonates without severe acute kidney injury (AKI) to determine how GA affects ten different urine biomarkers at birth and over the first 30 postnatal days. Then, we investigated if the urine biomarkers changed over time at 27, 30, and 34 weeks postmenstrual age (PMA). Next, we evaluated the impact of sex on urine biomarker concentrations at birth and over time. Finally, we evaluated if urine biomarkers were impacted by treatment with erythropoietin (Epo).

RESULTS

We found that all ten biomarker concentrations differ at birth by GA and that some urine biomarker concentrations increase, while others decrease over time. At 27 weeks PMA, 7/10 urine biomarkers differed by GA. By 30 weeks PMA, 5/10 differed, and by 34 weeks PMA, only osteopontin differed by GA. About half of the biomarker concentrations differed by sex, and 4/10 showed different rates of change over time between males vs. females. We found no differences in urine biomarkers by treatment group.

CONCLUSIONS

The temporal patterns, GA, and sex differences need to be considered in urine AKI biomarker analyses.

IMPACT

Urine biomarker concentrations differ by GA at birth. Some urine biomarkers increase, while others decrease, over the first 30 postnatal days. Most urine biomarkers differ by GA at 27 weeks PMA, but are similar by 34 weeks PMA. Some urine biomarkers vary by sex in premature neonates. Urine biomarkers did not differ between neonates randomized to placebo vs. Epo.

Isolation and Characterization of Urinary Extracellular Vesicles for MicroRNA Biomarker Signature Development with Reference to MISEV Compliance

Urine bears high potential for serving as biomarker repository for renal and urinary tract associated disorders. Besides various metabolites and salts, urine carries extracellular vesicles (EVs)-a heterogeneous group of cell-derived mediators comprising proteins, lipids, and nucleic acids such as microRNAs (miRNAs). Particularly, EV-derived miRNA biomarkers have already been identified for numerous disorders such as sepsis, various blood and solid cancer entities, respiratory and renal diseases. However, study results are often incomparable due to poorly reported EV separation and miRNA isolation protocols and emphasize the need for standardization and reproducibility. To ensure valid EV-derived miRNA biomarker findings from urine, a step-by-step protocol compliant with the "Minimal Information for Studies of Extracellular Vesicles" (MISEV) is outlined in the following paragraphs. Actually, an immunoaffinity-based EV separation method followed by EV characterization, quantification, and normalization, as well as consecutive miRNA isolation and miRNA profiling by small RNA sequencing, are described.

Assessing the value of serum and urinary interleukins for diagnosis of acute kidney injury in children and adolescents: A systematic review and meta-analysis

Introduction

Method

Results

Conclusion

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Urinary level of IL-18 is significantly higher in AKI children in comparison with non-AKI children.

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Serum levels of IL-6 and IL-8 are significantly higher in AKI children in comparison with non-AKI children.

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Overall, the sensitivity and specificity of these markers are not desirable for diagnosing AKI.

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Future studies should be directed towards unifying cut-off points for these markers.