Evidence map›Paper›PMID 32235494›Full record

ArticleInternational journal of molecular sciences2020

Proteomic Analysis of Renal Biomarkers of Kidney Allograft Fibrosis-A Study in Renal Transplant Patients.

Line Aas Mortensen, Anne Marie Svane, Mark Burton, Claus Bistrup, Helle Charlotte Thiesson, Niels Marcussen, Hans Christian Beck

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

7 authors at 2 institutions in 1 country.

Line Aas MortensenDepartment of Nephrology, Odense University Hospital, DK-5000 Odense, Denmark.
Anne Marie SvaneDepartment of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, DK-5000 Odense, Denmark.ORCID 0000-0001-6356-0484
Mark BurtonDepartment of Clinical Genetics, Odense University Hospital, DK-5000 Odense, Denmark.
Claus BistrupDepartment of Nephrology, Odense University Hospital, DK-5000 Odense, Denmark.ORCID 0000-0002-9280-916X
Helle Charlotte ThiessonDepartment of Nephrology, Odense University Hospital, DK-5000 Odense, Denmark.
Niels MarcussenDepartment of Pathology, Odense University Hospital, DK-5000 Odense, Denmark.
Hans Christian BeckDepartment of Clinical Biochemistry and Pharmacology, Centre for Clinical Proteomics, Odense University Hospital, DK-5000 Odense, Denmark.ORCID 0000-0002-7763-3637
Odense University Hospital · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal transplantation is the preferred treatment of end stage renal disease, but allograft survival is limited by the development of interstitial fibrosis and tubular atrophy in response to various stimuli. Much effort has been put into identifying new protein markers of fibrosis to support the diagnosis. In the present work, we performed an in-depth quantitative proteomics analysis of allograft biopsies from 31 prevalent renal transplant patients and correlated the quantified proteins with the volume fraction of fibrosis as determined by a morphometric method. Linear regression analysis identified four proteins that were highly associated with the degree of interstitial fibrosis, namely Coagulation Factor XIII A chain (estimate 18.7, adjusted

Indexed as

Kidney TransplantationActin-Related Protein 2-3 ComplexAdultAgedAllograftsBiomarkersFactor XIIIFemaleFibrosisHumansKidneyKidney DiseasesMaleMiddle AgedProteomicsUridine PhosphorylaseActin-Related Protein 2-3 ComplexBiomarkersFactor XIIIUPP1 protein, humanUridine PhosphorylaseIFTAinterstitial fibrosis and tubular atrophyproteomicsrenal transplantation

Identifiers

PMID32235494
PMCPMC7177439
OpenAlexW3013703805

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.