Evidence map›Paper›PMID 33057112›Full record

ArticleScientific reports2020

Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study.

Anjali A Satoskar, John P Shapiro, Mikayla Jones, Cherri Bott, Samir V Parikh, Sergey V Brodsky, Lianbo Yu, Haikady N Nagaraja, Daniel W Wilkey, Michael L Merchant and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. International journal of molecular sciences · 2022
    Review
  6. Spatial transcriptomics and the kidney.Current opinion in nephrology and hypertension · 2022
    Review
  7. Cellular and molecular interrogation of kidney biopsy specimens.Current opinion in nephrology and hypertension · 2022
    Review
  8. Review
  9. Persistent Left Superior Vena Cava in the Setting ofJournal of investigative medicine high impact case reports
    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

13 authors at 3 institutions in 1 country.

Anjali A SatoskarDivision of Renal and Transplant Pathology, Department of Pathology, The Ohio State University Wexner Medical Center, 320 W. 10th Avenue, M015/018 Starling Loving Hall, Columbus, OH, 43210, USA. anjali.satoskar@osumc.edu.
John P ShapiroDivision of Nephrology, Department of Internal Medicine, Ground Floor, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, OH, 43210, USA.
Mikayla JonesDivision of Renal and Transplant Pathology, Department of Pathology, The Ohio State University Wexner Medical Center, 320 W. 10th Avenue, M015/018 Starling Loving Hall, Columbus, OH, 43210, USA.
Cherri BottDivision of Renal and Transplant Pathology, Department of Pathology, The Ohio State University Wexner Medical Center, 320 W. 10th Avenue, M015/018 Starling Loving Hall, Columbus, OH, 43210, USA.
Samir V ParikhDivision of Nephrology, Department of Internal Medicine, Ground Floor, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, OH, 43210, USA.
Sergey V BrodskyDivision of Renal and Transplant Pathology, Department of Pathology, The Ohio State University Wexner Medical Center, 320 W. 10th Avenue, M015/018 Starling Loving Hall, Columbus, OH, 43210, USA.
Lianbo YuCenter for Biomedical Informatics, The Ohio State University, Columbus, USA.
Haikady N NagarajaDivision of Biostatistics, The Ohio State University College of Public Health, Columbus, USA.
Daniel W WilkeyDivision of Nephrology and Hypertension, Department of Medicine, University of Louisville, Louisville, USA.
Michael L MerchantDivision of Nephrology and Hypertension, Department of Medicine, University of Louisville, Louisville, USA.
Jon B KleinDivision of Nephrology and Hypertension, Department of Medicine, University of Louisville, Louisville, USA.
Tibor NadasdyDivision of Renal and Transplant Pathology, Department of Pathology, The Ohio State University Wexner Medical Center, 320 W. 10th Avenue, M015/018 Starling Loving Hall, Columbus, OH, 43210, USA.
Brad H RovinDivision of Nephrology, Department of Internal Medicine, Ground Floor, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, OH, 43210, USA. rovin.1@osu.edu.
The Ohio State University Wexner Medical Center · USUniversity of Louisville · USThe Ohio State University · US

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
Discovery & Validation of Biomarkers of Kidney PathologyU01DK096927 · NIDDK · OHIO STATE UNIVERSITY · PI ROVIN, BRAD H · 2013 to 2017
$2.0M
NCATS NIH HHS UL1 TR001070NIDDK NIH HHS U01 DK096927
6 · The paper itself

Abstract

Staphylococcus infection-associated glomerulonephritis (SAGN) and primary IgA nephropathy (IgAN) are separate disease entities requiring different treatment approaches. However, overlapping histologic features may cause a diagnostic dilemma. An exploratory proteomic study to identify potential distinguishing biomarkers was performed on formalin fixed paraffin embedded kidney biopsy tissue, using mass spectrometry (HPLC-MS/MS) (n = 27) and immunohistochemistry (IHC) (n = 64), on four main diagnostic groups-SAGN, primary IgAN, acute tubular necrosis (ATN) and normal kidney (baseline transplant biopsies). Spectral counts modeled as a negative binomial distribution were used for statistical comparisons and in silico pathway analysis. Analysis of variance techniques were used to compare groups and the ROC curve to evaluate classification algorithms. The glomerular proteomes of SAGN and IgAN showed remarkable similarities, except for significantly higher levels of monocyte/macrophage proteins in SAGN-mainly lysozyme and S100A9. This finding was confirmed by IHC. In contrast, the tubulointerstitial proteomes were markedly different in IgAN and SAGN, with a lower abundance of metabolic pathway proteins and a higher abundance of extracellular matrix proteins in SAGN. The stress protein transglutaminase-2 (TGM2) was also significantly higher in SAGN. IHC of differentially-expressed glomerular and tubulointerstitial proteins can be used to help discriminate between SAGN and IgAN in ambiguous cases.

Indexed as

AdultAgedBiomarkersBiopsyCase-Control StudiesFemaleGlomerular Filtration RateGlomerulonephritis, IGAGTP-Binding ProteinsHumansImmunoglobulin AKidney GlomerulusMaleMiddle AgedProtein Glutamine gamma Glutamyltransferase 2ROC CurveBiomarkersGTP-Binding ProteinsImmunoglobulin AProtein Glutamine gamma Glutamyltransferase 2TGM2 protein, humanTransglutaminases

Identifiers

PMID33057112
PMCPMC7560901
OpenAlexW3092722134

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.