Evidence map›Paper›PMID 24611000›Full record

ArticleDrug design, development and therapy2014

Characterization of renal biomarkers for use in clinical trials: biomarker evaluation in healthy volunteers.

David A Brott, Scott H Adler, Ramin Arani, Susan C Lovick, Mark Pinches, Stephen T Furlong

Open access · goldAbstract readClinical Trial, Phase I
In one paragraph

Article in Drug design, development and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Urinary Concentration of Renal Biomarkers in Healthy Term Neonates: Gender Differences in GST-pi Excretion.Medical science monitor : international medical journal of experimental and clinical research · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

David A BrottTranslational Patient Safety and Enabling Sciences, AstraZeneca Pharmaceuticals, Wilmington, DE, USA.
Scott H AdlerTranslational Patient Safety and Enabling Sciences, AstraZeneca Pharmaceuticals, Wilmington, DE, USA.
Ramin AraniAstraZeneca Pharmaceuticals, Wilmington, DE, USA.
Susan C LovickAstraZeneca Pharmaceuticals, Macclesfield, Cheshire, UK.
Mark PinchesGlobal Safety Assessment, AstraZeneca Pharmaceuticals, Macclesfield, Cheshire, UK.
Stephen T FurlongTranslational Patient Safety and Enabling Sciences, AstraZeneca Pharmaceuticals, Wilmington, DE, USA.
AstraZeneca (United Kingdom) · GBWilmington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral preclinical urinary biomarkers have been qualified and accepted by the health authorities (US Food and Drug Administration, European Medicines Agency, and Pharmaceuticals and Medical Devices Agency) for detecting drug-induced kidney injury during preclinical toxicologic testing. Validated human assays for many of these biomarkers have become commercially available, and this study was designed to characterize some of the novel clinical renal biomarkers. The objective of this study was to evaluate clinical renal biomarkers in a typical Phase I healthy volunteer population to determine confidence intervals (pilot reference intervals), intersubject and intrasubject variability, effects of food intake, effect of sex, and vendor assay comparisons.

methodsSpot urine samples from 20 male and 19 female healthy volunteers collected on multiple days were analyzed using single analyte and multiplex assays. The following analytes were measured: α-1-microglobulin, β-2-microglobulin, calbindin, clusterin, connective tissue growth factor, creatinine, cystatin C, glutathione S-transferase-α, kidney injury marker-1, microalbumin, N-acetyl-β-(D) glucosaminidase, neutrophil gelatinase-associated lipocalin, osteopontin, Tamm-Horsfall urinary glycoprotein, tissue inhibitor of metalloproteinase 1, trefoil factor 3, and vascular endothelial growth factor.

resultsConfidence intervals were determined from the single analyte and multiplex assays. Intersubject and intrasubject variability ranged from 38% to 299% and from 29% to 82% for biomarker concentration, and from 24% to 331% and from 10% to 67% for biomarker concentration normalized to creatinine, respectively. There was no major effect of food intake or sex. Single analyte and multiplex assays correlated with r (2)≥0.700 for five of six biomarkers when evaluating biomarker concentration, but for only two biomarkers when evaluating concentration normalized to creatinine.

conclusionConfidence intervals as well as intersubject and intrasubject variability were determined for novel clinical renal biomarkers/assays, which should be considered for evaluation in the next steps of the qualification process.

Indexed as

AdultAgedBiomarkersEatingFemaleHealthy VolunteersHumansKidneyMaleMiddle AgedSex FactorsBiomarkersbiomarkersclinicaldrug developmenthealthy volunteerskidneyqualification

Identifiers

PMID24611000
PMCPMC3928457
OpenAlexW2002251399

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.