Evidence map›Paper›PMID 21150872›Full record

ArticleKidney international2011

Oncostatin M receptor β and cysteine/histidine-rich 1 are biomarkers of the response to erythropoietin in hemodialysis patients.

Michael L Merchant, Adam E Gaweda, Andrew J Dailey, Daniel W Wilkey, Xiaolan Zhang, Brad H Rovin, Jon B Klein, Michael E Brier

Open access · bronzeAbstract read
In one paragraph

Article in Kidney international, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Predictive modeling for improved anemia management in dialysis patients.Current opinion in nephrology and hypertension · 2011
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Michael L MerchantDepartment of Medicine, University of Louisville, Louisville, Kentucky, USA.
Adam E GawedaDepartment of Medicine, University of Louisville, Louisville, Kentucky, USA.
Andrew J DaileyDepartment of Medicine, University of Louisville, Louisville, Kentucky, USA.
Daniel W WilkeyDepartment of Medicine, University of Louisville, Louisville, Kentucky, USA.
Xiaolan ZhangDepartment of Medicine, Ohio State University School of Medicine, Columbus, Ohio, USA.
Brad H RovinDepartment of Medicine, Ohio State University School of Medicine, Columbus, Ohio, USA.
Jon B Klein *Department of Medicine, University of Louisville, Louisville, Kentucky, USA.
Michael E Brier *Department of Medicine, University of Louisville, Louisville, Kentucky, USA.
University of Louisville · USThe Ohio State University · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES014443 · NIEHS · UNIVERSITY OF LOUISVILLE · PI PROUGH, RUSSELL ALLEN · 2007 to 2010
$4.4M
Forecasters of futute and progressive CDK in patients with microvascular glomerulU01DK085673 · NIDDK · OHIO STATE UNIVERSITY · PI KLEIN, JON, ROVIN, BRAD H · 2009 to 2013
$2.0M
Intelligent Control Approach to Anemia ManagementK25DK072085 · NIDDK · UNIVERSITY OF LOUISVILLE · PI GAWEDA, ADAM E · 2007 to 2011
$717k
Protein Phenotyping of SLE Nephritis Flare CycleR21DK077331 · NIDDK · OHIO STATE UNIVERSITY · PI ROVIN, BRAD H · 2008 to 2009
$413k
NIDDK NIH HHS 1K25DK072085NIDDK NIH HHS K25 DK072085NIDDK NIH HHS R21 DK077331NIDDK NIH HHS R21DK077331NIDDK NIH HHS U01 DK085673NIDDK NIH HHS U01DK085673-01NIEHS NIH HHS P30 ES014443NIEHS NIH HHS P30ES014443
6 · The paper itself

Abstract

Biomarkers that evaluate the response to erythropoietic-stimulating agents largely measure inflammation and iron availability. While these are important factors in modifying an individual's response to these agents, they do not address all aspects of a poor response. To clarify this, we isolated peptides in the serum of good and poor responders to erythropoietin in order to identify biomarkers of stimulating agent response. Ninety-one candidate biomarker targets were identified and characterized using mass spectrometry, of which tandem mass spectroscopy provided partial amino-acid sequence information of 17 different peptides for 16 peptide masses whose abundance significantly differed between poor and good responders. The analysis concluded that three peptides associated with a poor response were derived from oncostatin M receptor β (OSMRβ). The 13 serum peptides associated with a good response were derived from fibrinogen α and β, coagulation factor XIII, complement C3, and cysteine/histidine rich 1(CYHR1). Poor response was most strongly associated with the OSMRβ fragment with the largest molecular weight, while a good response was most strongly associated with CYHR1. Immunoblots found the abundance of intact OSMRβ and CYHR1 significantly differed between good and poor responders. Thus, two measurable biomarkers of the response to erythropoietic-stimulating agents are present in the serum of treated patients.

Indexed as

Renal DialysisBiomarkersCytokinesErythropoietinFemaleFibrinopeptide BHumansMaleOncostatin M Receptor beta SubunitPeptide FragmentsProteinsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkersCYHR1 protein, humanCytokinesErythropoietinFibrinopeptide BOncostatin M Receptor beta SubunitOSMR protein, humanPeptide FragmentsProteins

Identifiers

PMID21150872
PMCPMC4024449
OpenAlexW2056069621

What OpenQuestion holds

Textmetadata
LicenceTDM
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.