| Title |
Impact of gestational age, sex, and postnatal age on urine biomarkers in premature neonates
|
|---|---|
| Published in |
Pediatric Nephrology, May 2015
|
| DOI | 10.1007/s00467-015-3129-z |
| Pubmed ID | |
| Authors |
Behtash Saeidi, Rajesh Koralkar, Russell L. Griffin, Brian Halloran, Namasivayam Ambalavanan, David J. Askenazi |
| Abstract |
Urine proteins may help in understanding physiology and diagnosing disease in premature infants. Determining how urine proteins vary by degree of prematurity, sex, and postnatal day is warranted. We performed a prospective cohort study to assess the independent correlation of 14 urine biomarkers (measured on postnatal days 1-4) with gestational age (GA), sex, and postnatal age in 81 premature infants (mean, 1017 g) without acute kidney injury using a random-effects mixed model. Neutrophil gelatinase-associated lipocalin (NGAL) and vascular endothelial growth factor (VEGF) showed significant associations for sex, GA, and postnatal age. Cystatin C, osteopontin (OPN), and trefoil factor 3 (TFF3) were associated with postnatal age and GA, but not sex. Epithelial growth factor (EGF) and uromodulin were associated with GA only. Clusterin was associated with postnatal age and sex. Albumin was associated with sex only. Beta-2-microglbulin (B2M), osteoactivin, kidney injury molecule -1 (KIM-1), and alpha glutathione S-transferase (αGST) were associated with postnatal age only. Postnatal age affects B2M, cystatin C, NGAL, OPN, clusterin, Kim-1, osteoactivin, TFF3, VEGF, αGST. GA affects cystatin C, EGF, NGAL, OPN, UMOD, TFF3, and VEGF. Sex affects albumin, NGAL, and clusterin. Interpretation of urine biomarkers will need to account for these associations. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 7 | 13% |
| Other | 6 | 11% |
| Researcher | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 9 | 17% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 44% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Psychology | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 20 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 May 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Pediatric Nephrology
#3,294
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Outputs of similar age
#224,097
of 267,813 outputs
Outputs of similar age from Pediatric Nephrology
#46
of 62 outputs
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