Evidence map›Paper›PMID 34414423›Full record

ArticleThe journal of applied laboratory medicine2021

Sample Processing and Stability for Urine Biomarker Studies.

Crystal Chang, Wassim Obeid, Heather Thiessen-Philbrook, Chirag R Parikh

Open access · bronzeAbstract read
In one paragraph

Article in The journal of applied laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  4. Review
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  9. Review
  10. Review
  11. PHENOTYPING REPAIR AFTER ACUTE KIDNEY INJURY: PRECISION MEDICINE TO CLINICAL TRIALS.Transactions of the American Clinical and Climatological Association · 2024
    Article
  12. Article
  13. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  14. Article
  15. Article
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

4 authors at 1 institution in 1 country.

Crystal ChangDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Wassim ObeidDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Heather Thiessen-PhilbrookDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0003-2067-0514
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-9051-7385
Johns Hopkins University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
AKI Matched Phenotype Linked Evaluation with Tissue (AMPLE-Tissue)UH3DK114866 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PARIKH, CHIRAG R · 2019 to 2021
$900k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS P30 DK079310NIDDK NIH HHS U01 DK082185NIDDK NIH HHS UH3 DK114866NIH HHS R01HL085757
6 · The paper itself

Abstract

backgroundCurrent methods of processing and storing urine samples have not been compared systematically to determine optimal conditions for advancing research on urinary biomarkers. Often, preanalytical handling is nonideal, especially considering the COVID-19 pandemic; consequently, we compared the effects of different short-term storage and processing methods on urinary biomarker measurements.

methodsSpot urine samples were collected via a Foley catheter from 20 hospitalized patients from the Yale New Haven Hospital within 48 hours postcardiac surgery. The effects of 3 urine storage and processing methods on biomarkers were tested: (a) 48-hour temporary storage at 4 °C prior to freezing at -80 °C, (b) 48-hour temporary storage at 25 °C prior to freezing at -80 °C, and (c) no centrifugation and immediate storage at -80 °C. Established Meso-Scale Device assay methods were used to measure the urine concentrations of 18 biomarkers: interferon gamma (IFN-ɣ), interleukin (IL)-10, IL-12p70, IL-13, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-18, tumor necrosis factor alpha (TNF-α), epidermal growth factor (EGF), neutrophil gelatinase-associated lipocalin (NGAL), osteopontin (OPN), uromodulin (UMOD), kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein-1 (MCP-1), and chitinase-3-like protein 1 (YKL-40).

resultsMeasurements of most biomarkers investigated remained stable after temporary storage at 4 °C. IL-6, IL-8, KIM-1, MCP-1, YKL-40, EGF, and NGAL were stable across all 3 processing conditions. IL-12p70 and IL-4 demonstrated significant differences in all tested conditions compared to the reference standard.

conclusionsWe identified several notable biomarkers that are robust to variations in preanalytical techniques and can be reliably investigated with nonideal handling conditions.

Indexed as

Acute Kidney InjuryCOVID-19BiomarkersHumansPandemicsSARS-CoV-2Specimen HandlingBiomarkersacute kidney injurybiospecimen handlingbiospecimen storageprotein stabilityurinalysis

Identifiers

PMID34414423
PMCPMC8561784
OpenAlexW3196067859

What OpenQuestion holds

Textmetadata
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.