Evidence map›Paper›PMID 23802725›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2013

Multicenter evaluation of a standardized protocol for noninvasive gene expression profiling.

K S Keslar, M Lin, A A Zmijewska, T K Sigdel, T Q Tran, L Ma, M Bhasin, P Rao, R Ding, D N Iklé and 7 more

Registry-linked trialAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04670926 (Immunosuppression Management in Renal Transplant Recipients With Transplant Excellence Based on TruGraf Test), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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.

NCT04670926 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Immunosuppression Management in Renal Transplant Recipients With Transplant Excellence Based on TruGraf Test

TypeinterventionalSponsorTransplant Genomics, Inc.Ran2021 to 2023Enrolled75ConditionsKidney Transplant Rejection, ImmunosuppressionArmsTruGraf, Standard of Care
3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Transplant genetics and genomics.Nature reviews. Genetics · 2017
    Review
  11. Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.Journal of the American Society of Nephrology : JASN · 2017
    Review
  12. Review
  13. Quantification of CD4(+) T Cell Alloreactivity and Its Control by Regulatory T Cells Using Time-Lapse Microscopy and Immune Synapse Detection.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2016
    Article
  14. Multicenter Analysis of Immune Biomarkers and Heart Transplant Outcomes: Results of the Clinical Trials in Organ Transplantation-05 Study.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2016
    Observational
  15. Review
  16. Review
  17. Molecular monitoring of alloimmune-mediated injury in kidney transplant patients.Current opinion in nephrology and hypertension · 2014
    Review
  18. Review
  19. Biomarkers for kidney transplant rejection.Nature reviews. Nephrology · 2014
    Review
  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

17 authors.

K S KeslarDepartment of Immunology, Cleveland Clinic, Cleveland, OH, USA. keslark@ccf.org
M Lin
A A Zmijewska
T K Sigdel
T Q Tran
L Ma
M Bhasin
P Rao
R Ding
D N Iklé
R B Mannon
M M Sarwal
T B Strom
E F Reed
P S Heeger
M Suthanthiran
R L Fairchild

Funding

Noninvasive Markers and Transplant Outcome in HumansU01AI063594 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HEEGER, PETER SCOTT · 2004 to 2022
$66.5M
Anti-MHC Effects on EndotheliumR01AI042819 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, ELAINE F · 1999 to 2014
$4.0M
Medical Research Council MR/J006742/1NIAID NIH HHS R01 AI042819NIAID NIH HHS U01 AI063594PHS HHS U0163594
6 · The paper itself

Abstract

Gene expression profiling of transplant recipient blood and urine can potentially be used to monitor graft function, but the multitude of protocols in use make sharing data and comparing results from different laboratories difficult. The goal of this study was to evaluate the performance of current methods of RNA isolation, reverse transcription and quantitative polymerase chain reaction (qPCR) and to test whether multiple centers using a standardized protocol can obtain the same results. Samples, reagents and detailed instructions were distributed to six participating sites that performed RNA isolation, reverse transcription and qPCR for 18S, PRF, GZB, IL8, CXCL9 and CXCL10 as instructed. All data were analyzed at a single site. All sites demonstrated proficiency in RNA isolation and qPCR analysis. Gene expression measurements for all targets and samples had correlations >0.938. The coefficient of variation of fold-changes between pairs of samples was less than 40%. All sites were able to accurately quantify a control sample of known concentration within a factor of 1.5. Collectively, we have formulated and validated detailed methods for measuring gene expression in blood and urine that can yield consistent results in multiple laboratories.

Indexed as

Gene Expression RegulationKidney TransplantationGene Expression ProfilingHumansLimit of DetectionReverse Transcriptase Polymerase Chain ReactionRNA-Directed DNA PolymeraseRNA, MessengerSensitivity and SpecificityTransplantation, HomologousRNA-Directed DNA PolymeraseRNA, Messenger

Identifiers

PMID23802725
PMCPMC3781926

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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.