Evidence map›Paper›PMID 38609491›Full record

ArticleScientific reports2024

The development of lateral flow devices for urinary biomarkers to assess kidney health.

Serena D Souza, Wassim Obeid, Jeanine Hernandez, David Hu, Yumeng Wen, Dennis G Moledina, Andre Albert, Anya Gregg, Andrew Wheeler, Heather Thiessen Philbrook and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. PHENOTYPING REPAIR AFTER ACUTE KIDNEY INJURY: PRECISION MEDICINE TO CLINICAL TRIALS.Transactions of the American Clinical and Climatological Association · 2024
    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

11 authors.

Serena D SouzaDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA.
Wassim ObeidDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA.
Jeanine HernandezDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA.
David HuDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA.
Yumeng WenDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA.
Dennis G MoledinaSection of Nephrology and Clinical and Translational Research Accelerator, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Andre AlbertMologic Inc (D/B/A Global Access Diagnostics), 83 Pineland Drive, Gray Hall Suite 202, New Gloucester, ME, USA.
Anya GreggMologic Ltd (D/B/A Global Access Diagnostics), Bedford Technology Park, Thurleigh, UK.
Andrew WheelerMologic Inc (D/B/A Global Access Diagnostics), 83 Pineland Drive, Gray Hall Suite 202, New Gloucester, ME, USA.
Heather Thiessen PhilbrookDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA.
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA. chirag.parikh@jhmi.edu.

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 PREISIG, PATRICIA A · 2008 to 2022
$16.8M
Novel Kidney Injury Tools in Deceased Organ Donation to Predict Graft OutcomesR01DK093770 · NIDDK · YALE UNIVERSITY · PI Chirag R Parikh · 2012 to 2026
$9.5M
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK093770NIH HHS R01DK093770
6 · The paper itself

Abstract

Serum creatinine levels are insensitive to real-time changes in kidney function or injury. There is a growing interest in assessing kidney injury by measuring biomarkers in body fluid. From our previous studies, we identified and reported three urinary biomarkers namely Uromodulin (UMOD), Osteopontin (OPN), and Interleukin-9 (IL-9) to be associated with kidney health. The availability of a rapid point-of-care test for these urinary biomarkers will potentially accelerate its applicability and accessibility. In this study, we aimed to develop novel lateral flow device (LFD) for UMOD, OPN and IL-9. We tested paired antibodies using Enzyme Linked Immunosorbent Assay wherein we observed functionality only for UMOD and OPN and not for IL-9. A conjugation buffer pH of 7.8 and 8.5 was found suitable at a detection antibody concentration of 15 µg/mL for LFD development. The developed LFDs were found to quantitatively measure UMOD standard (LLOD of 80,000 pg/mL) and OPN standard (LLOD of 8600 pg/mL) respectively. The LFD was also able to measure human urinary UMOD and OPN with a percent CV of 12.12 and 5.23 respectively.

Indexed as

Interleukin-9Urinary TractAntibodiesBiomarkersHumansKidneyUromodulinAntibodiesBiomarkersInterleukin-9Uromodulin

Identifiers

PMID38609491
PMCPMC11014899

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Registered trials

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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.