| Title |
Preterm neonatal urinary renal developmental and acute kidney injury metabolomic profiling: an exploratory study
|
|---|---|
| Published in |
Pediatric Nephrology, July 2016
|
| DOI | 10.1007/s00467-016-3439-9 |
| Pubmed ID | |
| Authors |
Kelly Mercier, Susan McRitchie, Wimal Pathmasiri, Andrew Novokhatny, Rajesh Koralkar, David Askenazi, Patrick D. Brophy, Susan Sumner |
| Abstract |
Acute 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. Urine 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. There 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. Metabolomics 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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 25% |
| Venezuela, Bolivarian Republic of | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 15% |
| Student > Master | 7 | 13% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 17% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 31% |
| Agricultural and Biological Sciences | 6 | 11% |
| Psychology | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 18 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2016.
All research outputs
#13,985,702
of 22,880,691 outputs
Outputs from Pediatric Nephrology
#2,327
of 3,553 outputs
Outputs of similar age
#206,076
of 363,105 outputs
Outputs of similar age from Pediatric Nephrology
#33
of 63 outputs
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