Evidence map›Paper›PMID 20501940›Full record

ArticleMolecular & cellular proteomics : MCP2010

Proteomic signatures in plasma during early acute renal allograft rejection.

Gabriela V Cohen Freue, Mayu Sasaki, Anna Meredith, Oliver P Günther, Axel Bergman, Mandeep Takhar, Alice Mui, Robert F Balshaw, Raymond T Ng, Nina Opushneva and 8 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02050022 (Clinical Implementation and Outcomes Evaluation of Blood-Based Biomarkers for Chronic Obstructive Pulmonary Disease Management), which is not on this map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 2% 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.

NCT02050022 unknown statusnot on this mapstarted 2013, after this paper: background citation

Clinical Implementation and Outcomes Evaluation of Blood-Based Biomarkers for Chronic Obstructive Pulmonary Disease Management

TypeobservationalSponsorUniversity of British ColumbiaRan2013 to 2021Enrolled522ConditionsChronic Obstructive Pulmonary Disease
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Advances in Detection of Kidney Transplant Injury.Molecular diagnosis & therapy · 2019
    Review
  12. Article
  13. Role of biobanks in transplantation.Annals of medicine and surgery (2012) · 2018
    Review
  14. Article
  15. Biomarkers in renal transplantation: An updated review.World journal of transplantation · 2017
    Review
  16. Review
  17. Article
  18. Article
  19. Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long-Term Outcomes.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2016
    Article
  20. Review
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 at 5 institutions in 2 countries.

Gabriela V Cohen FreuePrevention of Organ Failure (PROOF) Centre of Excellence, Vancouver, British Columbia, Canada.
Mayu Sasaki
Anna Meredith
Oliver P Günther
Axel Bergman
Mandeep Takhar
Alice Mui
Robert F Balshaw
Raymond T Ng
Nina Opushneva
Zsuzsanna Hollander
Guiyun Li
Christoph H Borchers
Janet Wilson-McManus
Bruce M McManus
Paul A Keown
W Robert McMaster
Genome Canada Biomarkers in Transplantation Group
University of British Columbia · CAING Direct · USPrevention of Organ Failure · CAInstitute of Infection and Immunity · CAUniversity of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute graft rejection is an important clinical problem in renal transplantation and an adverse predictor for long term graft survival. Plasma biomarkers may offer an important option for post-transplant monitoring and permit timely and effective therapeutic intervention to minimize graft damage. This case-control discovery study (n = 32) used isobaric tagging for relative and absolute protein quantification (iTRAQ) technology to quantitate plasma protein relative concentrations in precise cohorts of patients with and without biopsy-confirmed acute rejection (BCAR). Plasma samples were depleted of the 14 most abundant plasma proteins to enhance detection sensitivity. A total of 18 plasma proteins that encompassed processes related to inflammation, complement activation, blood coagulation, and wound repair exhibited significantly different relative concentrations between patient cohorts with and without BCAR (p value <0.05). Twelve proteins with a fold-change >or=1.15 were selected for diagnostic purposes: seven were increased (titin, lipopolysaccharide-binding protein, peptidase inhibitor 16, complement factor D, mannose-binding lectin, protein Z-dependent protease and beta(2)-microglobulin) and five were decreased (kininogen-1, afamin, serine protease inhibitor, phosphatidylcholine-sterol acyltransferase, and sex hormone-binding globulin) in patients with BCAR. The first three principal components of these proteins showed clear separation of cohorts with and without BCAR. Performance improved with the inclusion of sequential proteins, reaching a primary asymptote after the first three (titin, kininogen-1, and lipopolysaccharide-binding protein). Longitudinal monitoring over the first 3 months post-transplant based on ratios of these three proteins showed clear discrimination between the two patient cohorts at time of rejection. The score then declined to baseline following treatment and resolution of the rejection episode and remained comparable between cases and controls throughout the period of quiescent follow-up. Results were validated using ELISA where possible, and initial cross-validation estimated a sensitivity of 80% and specificity of 90% for classification of BCAR based on a four-protein ELISA classifier. This study provides evidence that protein concentrations in plasma may provide a relevant measure for the occurrence of BCAR and offers a potential tool for immunologic monitoring.

Indexed as

Kidney TransplantationProteomicsBlood ProteinsCohort StudiesEnzyme-Linked Immunosorbent AssayGraft RejectionHumansLongitudinal StudiesMonitoring, PhysiologicProspective StudiesReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBlood Proteins

Identifiers

PMID20501940
PMCPMC2938106
OpenAlexW2161363481

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.