ArticlePediatric nephrology (Berlin, Germany)2017
Preterm neonatal urinary renal developmental and acute kidney injury metabolomic profiling: an exploratory study.
Article in Pediatric nephrology (Berlin, Germany), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Serum and urinary biomarkers to predict acute kidney injury in premature infants: a systematic review and meta-analysis of diagnostic accuracy.Journal of nephrology · 2022Pooled it
- Discovery urinary metabolomics of preterm neonatal acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2026Observational
- Longitudinal urine metabolomics predicts high-grade brain injury in very preterm infants.Pediatric research · 2026Article
- Stealing nephrons-a review on how patent ductus arteriosus physiology impacts neonatal kidney health.Journal of perinatology : official journal of the California Perinatal Association · 2026Review
- Metabolomic and transcriptomic insights into the mechanisms of renal ischemia-reperfusion injury progression.Scientific reports · 2024Article
- Assessing the prognostic impact of KDIGO criteria on acute kidney injury in very low birth weight infants: a critical insight.Childhood kidney diseases · 2024Article
- Article
- Urine acute kidney injury biomarkers in extremely low gestational age neonates: a nested case control study of 21 candidate urine biomarkers.Pediatric nephrology (Berlin, Germany) · 2023Article
- Urinary metabolomics to develop predictors for pediatric acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2022Article
- Use of ultra high performance liquid chromatography with high resolution mass spectrometry to analyze urinary metabolome alterations following acute kidney injury in post-cardiac surgery patients.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- A LongitudinalMetabolites · 2022Article
- New Insights from Metabolomics in Pediatric Renal Diseases.Children (Basel, Switzerland) · 2022Review
- A Canadian Study of Cisplatin Metabolomics and Nephrotoxicity (ACCENT): A Clinical Research Protocol.Canadian journal of kidney health and disease · 2021Article
- Urinary NMR Profiling in Pediatric Acute Kidney Injury-A Pilot Study.International journal of molecular sciences · 2020Article
- Renal Function Profiles in Preterm Neonates With Birth Asphyxia Within the First 24 H of Life.Frontiers in pediatrics · 2020Article
- [Application of metabolomics in neonatal clinical practice].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2019Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundAcute kidney injury (AKI) staging has been developed in the adult and pediatric populations, but these do not yet exist for the neonatal population. Metabolomics was utilized to uncover biomarkers of normal and AKI-associated renal function in preterm infants. The study comprised 20 preterm infants with an AKI diagnosis who were matched by gestational age and gender to 20 infants without an AKI diagnosis.
methodsUrine samples from pre-term newborn infants collected on day 2 of life were analyzed using broad-spectrum nuclear magnetic resonance (NMR) metabolomics. Multivariate analysis methods were used to identify metabolite profiles that differentiated AKI and no AKI, and to identify a metabolomics profile correlating with gestational age in infants with and without AKI.
resultsThere was a clear distinction between the AKI and no-AKI profiles. Two previously identified biomarkers of AKI, hippurate and homovanillate, differentiated AKI from no-AKI profiles. Pathway analysis revealed similarities to cholinergic neurons, prenatal nicotine exposure on pancreatic β cells, and amitraz-induced inhibition of insulin secretion. Additionally, a pH difference was noted. Both pH and the metabolites were found to be associated with AKI; however, only the metabotype was a significant predictor of AKI. Pathways for the no-AKI group that correlated uniquely with gestational age included aminoacyl-t-RNA biosynthesis, whereas pathways in the AKI group yielded potential metabolite changes in pyruvate metabolism.
conclusionsMetabolomics was able to differentiate the urinary profiles of neonates with and without an AKI diagnosis and metabolic developmental profiles correlated with gestational age. Further studies in larger cohorts are needed to validate these results.
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