Evidence map›Paper›PMID 31922062›Full record

ArticleKidney international reports2020

Predicting and Defining Steroid Resistance in Pediatric Nephrotic Syndrome Using Plasma Proteomics.

Shipra Agrawal, Michael L Merchant, Jiro Kino, Ming Li, Daniel W Wilkey, Adam E Gaweda, Michael E Brier, Melinda A Chanley, Jessica R Gooding, Susan J Sumner and 3 more

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
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  5. Review
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  12. What is circulating factor disease and how is it currently explained?Pediatric nephrology (Berlin, Germany) · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Advances in proteomic profiling of pediatric kidney diseases.Pediatric nephrology (Berlin, Germany) · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 13 institutions in 2 countries.

Shipra AgrawalThe Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Michael L MerchantKidney Disease Program, University of Louisville, Louisville, Kentucky, USA.
Jiro KinoThe Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Ming LiKidney Disease Program, University of Louisville, Louisville, Kentucky, USA.
Daniel W WilkeyKidney Disease Program, University of Louisville, Louisville, Kentucky, USA.
Adam E GawedaKidney Disease Program, University of Louisville, Louisville, Kentucky, USA.
Michael E BrierKidney Disease Program, University of Louisville, Louisville, Kentucky, USA.
Melinda A ChanleyThe Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Jessica R GoodingNational Institutes of Health Eastern Regional Comprehensive Metabolomics Resource Core at UNC, Chapel Hill, North Carolina, USA.
Susan J SumnerNational Institutes of Health Eastern Regional Comprehensive Metabolomics Resource Core at UNC, Chapel Hill, North Carolina, USA.
Jon B KleinKidney Disease Program, University of Louisville, Louisville, Kentucky, USA.
William E SmoyerThe Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Midwest Pediatric Nephrology Consortium
University of Louisville · USNationwide Children's Hospital · USUniversity of North Carolina Health Care · USChildren's Mercy Hospital · USEmory University · USLouisiana State University System · USLouisville VA Medical Center · USMedical College of Wisconsin · USSickKids Foundation · CAThe Ohio State University · USUniversity of Iowa · USUniversity of North Carolina at Chapel Hill · USWest Virginia University · US

Funding

Role of oxidized linoleic acid metabolites in the pathogenesis of alcoholic liver diseaseP20GM113226 · NIGMS · UNIVERSITY OF LOUISVILLE · PI MCCLAIN, CRAIG J. · 2016 to 2025
$24.1M
The Role of Nutrition in the Development/Progression of Alcohol-Induced Organ InjuryP50AA024337 · NIAAA · UNIVERSITY OF LOUISVILLE · PI CRAIG J. MCCLAIN · 2016 to 2026
$17.9M
Novel biomarker validation and dosing algorithms for anemia management in ESRDR01DK091584 · NIDDK · UNIVERSITY OF LOUISVILLE · PI BRIER, MICHAEL E, MERCHANT, MICHAEL L · 2011 to 2015
$2.6M
Integrating Proteomics and Metabolomics to Understand Pediatric Glomerular Disease Pathophysiology and PrognosisR01DK110077 · NIDDK · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI KLEIN, JON, SMOYER, WILLIAM E · 2016 to 2020
$1.8M
Nuclear Receptor and MAP Kinase Signaling in Podocyte InjuryR01DK095059 · NIDDK · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI SMOYER, WILLIAM E · 2013 to 2017
$1.6M
NIAAA NIH HHS P50 AA024337NIDDK NIH HHS R01 DK091584NIDDK NIH HHS R01 DK095059NIDDK NIH HHS R01 DK110077NIGMS NIH HHS P20 GM113226
6 · The paper itself

Abstract

introductionNephrotic syndrome (NS) is a characterized by massive proteinuria, edema, hypoalbuminemia, and dyslipidemia. Glucocorticoids (GCs), the primary therapy for >60 years, are ineffective in approximately 50% of adults and approximately 20% of children. Unfortunately, there are no validated biomarkers able to predict steroid-resistant NS (SRNS) or to define the pathways regulating SRNS.

methodsWe performed proteomic analyses on paired pediatric NS patient plasma samples obtained both at disease presentation before glucocorticoid initiation and after approximately 7 weeks of GC therapy to identify candidate biomarkers able to either predict steroid resistance before treatment or define critical molecular pathways/targets regulating steroid resistance.

resultsProteomic analyses of 15 paired NS patient samples identified 215 prevalent proteins, including 13 candidate biomarkers that predicted SRNS before GC treatment, and 66 candidate biomarkers that mechanistically differentiated steroid-sensitive NS (SSNS) from SRNS. Ingenuity Pathway Analyses and protein networking pathways approaches further identified proteins and pathways associated with SRNS. Validation using 37 NS patient samples (24 SSNS/13 SRNS) confirmed vitamin D binding protein (VDB) and APOL1 as strong predictive candidate biomarkers for SRNS, and VDB, hemopexin (HPX), adiponectin (ADIPOQ), sex hormone-binding globulin (SHBG), and APOL1 as strong candidate biomarkers to mechanistically distinguish SRNS from SSNS. Logistic regression analysis identified a candidate biomarker panel (VDB, ADIPOQ, and matrix metalloproteinase 2 [MMP-2]) with significant ability to predict SRNS at disease presentation (

conclusionPlasma proteomic analyses and immunoblotting of serial samples in childhood NS identified a candidate biomarker panel able to predict SRNS at disease presentation, as well as candidate molecular targets/pathways associated with clinical steroid resistance.

Indexed as

biomarkersnephrotic syndromeproteomicssteroid resistance

Identifiers

PMID31922062
PMCPMC6943770
OpenAlexW2974379499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.