Evidence map›Paper›PMID 36705086›Full record

ArticleThe journal of applied laboratory medicine2023

Analytical and Biological Variability of a Commercial Modified Aptamer Assay in Plasma Samples of Patients with Chronic Kidney Disease.

Ruth F Dubin, Rajat Deo, Yue Ren, Hongzhe Lee, Haochang Shou, Harold Feldman, Paul Kimmel, Sushrut S Waikar, Eugene P Rhee, Adrienne Tin and 8 more

Abstract read
In one paragraph

Article in The journal of applied laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

18 authors.

Ruth F DubinDivision of Nephrology, University of Texas Southwestern Medical Center, San Francisco, CA, USA.
Rajat DeoDivision of Cardiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Yue RenDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Hongzhe LeeDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Haochang ShouDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Harold FeldmanDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Paul KimmelDivision of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Washington, DC, USA.
Sushrut S WaikarDivision of Nephrology, Boston University School of Medicine, Boston, MA, USA.
Eugene P RheeDivision of Nephrology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Adrienne TinDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Jingsha ChenJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Joseph CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Alan S GoDivision of Research, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA.
Tanika KellyDepartment of Epidemiology, Tulane University, New Orleans, LA, USA.
Paduranga S RaoDepartment of Medicine, University of Michigan Ann Arbor, Ann Arbor, MI, USA.
Teresa K ChenDivision of Nephrology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Mark R SegalDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Peter GanzDivision of Cardiology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-0437-8882

Funding

Scientific and Data Coordinating Center(SDCC) for the P*U01DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2001 to 2017
$50.1M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Limited Competition for the Continuation of the Chronic Renal Insufficiency CohorU01DK061021 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI RAHMAN, MAHBOOB · 2001 to 2025
$17.3M
Prospective Renal Insufficiency Cohort Evaluation:PRICEU01DK060984 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI COHEN, DEBBIE L · 2001 to 2025
$17.0M
Prospective Cohort Study of Chronic Renal InsufficiencyU01DK061028 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, PANDURANGA S · 2001 to 2025
$16.9M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2022
$16.8M
Limited Competition for the Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Hopkins Clinical CenterU01DK061022 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI APPEL, LAWRENCE JOHN · 2001 to 2025
$15.7M
Proposal for a Chicago-CRIC Clinical CenterU01DK060980 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LASH, JAMES P. · 2001 to 2025
$15.4M
Tulane Clinical Center for Chronic Renal Insufficiency Cohort StudyU01DK060963 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, JING, HAMM, L LEE · 2001 to 2025
$13.9M
Chronic Kidney Disease (CKD) Biomarkers Consortium Data Coordinating CenterU01DK103225 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SCHRAUBEN, SARAH JEANNE · 2014 to 2020
$5.5M
Identifying Modifiable Biomarkers/Mediators for Cardiovascular Disease in Chronic Kidney DiseaseU01DK108809 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DEO, RAJAT, DUBIN, RUTH · 2016 to 2020
$1.9M
Biomarkers of Immune Activation in African Americans with CKDK08DK117068 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHEN, TERESA · 2019 to 2023
$961k
NIDDK NIH HHS K08 DK117068NIDDK NIH HHS P30 DK079310NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U01 DK103225NIDDK NIH HHS U01 DK108809
6 · The paper itself

Abstract

backgroundWe carried out a study of the aptamer proteomic assay, SomaScan V4, to evaluate the analytical and biological variability of the assay in plasma samples of patients with moderate to severe chronic kidney disease (CKD).

methodsPlasma samples were selected from 2 sources: (a) 24 participants from the Chronic Renal Insufficiency Cohort (CRIC) and (b) 49 patients from the Brigham and Women's Hospital-Kidney/Renal Clinic. We calculated intra-assay variability from both sources and examined short-term biological variability in samples from the Brigham clinic. We also measured correlations of aptamer measurements with traditional biomarker assays.

resultsA total of 4656 unique proteins (4849 total aptamer measures) were analyzed in all samples. Median (interquartile range [IQR] intra-assay CV) was 3.7% (2.8-5.3) in CRIC and 5.0% (3.8-7.0) in Brigham samples. Median (IQR) biological CV among Brigham samples drawn from one individual on 2 occasions separated by median (IQR) 7 (4-14) days was 8.7% (6.2-14). CVs were independent of CKD stage, diabetes, or albuminuria but were higher in patients with systemic lupus erythematosus. Rho correlations between aptamer and traditional assays for biomarkers of interest were cystatin C = 0.942, kidney injury model-1 = 0.905, fibroblast growth factor-23 = 0.541, tumor necrosis factor receptors 1 = 0.781 and 2 = 0.843, P < 10-100 for all.

conclusionsIntra-assay and within-subject variability for SomaScan in the CKD setting was low and similar to assay variability reported from individuals without CKD. Intra-assay precision was excellent whether samples were collected in an optimal research protocol, as were CRIC samples, or in the clinical setting, as were the Brigham samples.

Indexed as

Diabetes MellitusRenal Insufficiency, ChronicBiomarkersCohort StudiesFemaleHumansProteomicsBiomarkers

Identifiers

PMID36705086
PMCPMC11658805

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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.