Evidence map›Paper›PMID 25946140›Full record

ArticlePloS one2015

Differentially expressed gene transcripts using RNA sequencing from the blood of immunosuppressed kidney allograft recipients.

Casey Dorr, Baolin Wu, Weihua Guan, Amutha Muthusamy, Kinjal Sanghavi, David P Schladt, Jonathan S Maltzman, Steven E Scherer, Marcia J Brott, Arthur J Matas and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Peripheral Blood Gene Expression Signature to Diagnose Subclinical Acute Rejection.Journal of the American Society of Nephrology : JASN · 2019
    Article
  9. Single nucleotide variant counts computed from RNA sequencing and cellular traffic into human kidney allografts.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018
    Article
  10. Genetics of acute rejection after kidney transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2018
    Review
  11. Article
  12. Transplant genetics and genomics.Nature reviews. Genetics · 2017
    Review
  13. Article
  14. Current status of alloimmunity.Current opinion in nephrology and hypertension · 2016
    Review
  15. Article
  16. Article
  17. Article
  18. 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 4 institutions in 1 country.

Casey DorrMinneapolis Medical Research Foundation, Minneapolis, Minnesota, United States of America; Department of Medicine, Hennepin County Medical Center, University of Minnesota, Minneapolis, Minnesota, United States of America.
Baolin WuDivision of Biostatistics, University of Minnesota, Minneapolis, Minnesota, United States of America.
Weihua GuanDivision of Biostatistics, University of Minnesota, Minneapolis, Minnesota, United States of America.
Amutha MuthusamyMinneapolis Medical Research Foundation, Minneapolis, Minnesota, United States of America.
Kinjal SanghaviCollege of Pharmacy, University of Minnesota, Minneapolis, Minnesota, United States of America.
David P SchladtMinneapolis Medical Research Foundation, Minneapolis, Minnesota, United States of America.
Jonathan S MaltzmanDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Steven E SchererDepartment of Molecular and Human Genetics, Baylor College of Medicine, Dallas, Texas, United States of America.
Marcia J BrottCollege of Pharmacy, University of Minnesota, Minneapolis, Minnesota, United States of America.
Arthur J MatasDepartment of Surgery, University of Minnesota, Minneapolis, Minnesota, United States of America.
Pamala A JacobsonCollege of Pharmacy, University of Minnesota, Minneapolis, Minnesota, United States of America.
William S OettingCollege of Pharmacy, University of Minnesota, Minneapolis, Minnesota, United States of America.
Ajay K IsraniMinneapolis Medical Research Foundation, Minneapolis, Minnesota, United States of America; Department of Medicine, Hennepin County Medical Center, University of Minnesota, Minneapolis, Minnesota, United States of America; Department of Epidemiology and Community Health, University of Minnesota School of Medicine, Minneapolis, Minnesota, United States of America.
University of Minnesota · USOrthopaedic Research Foundation · USBaylor College of Medicine · USUniversity of Pennsylvania · US

Funding

Pharmacogenomics of Immune Suppressants in Kidney TransplantationU19AI070119 · NIAID · UNIVERSITY OF MINNESOTA · PI MATAS, ARTHUR J · 2006 to 2016
$17.1M
6 · The paper itself

Abstract

We performed RNA sequencing (RNAseq) on peripheral blood mononuclear cells (PBMCs) to identify differentially expressed gene transcripts (DEGs) after kidney transplantation and after the start of immunosuppressive drugs. RNAseq is superior to microarray to determine DEGs because it's not limited to available probes, has increased sensitivity, and detects alternative and previously unknown transcripts. DEGs were determined in 32 adult kidney recipients, without clinical acute rejection (AR), treated with antibody induction, calcineurin inhibitor, mycophenolate, with and without steroids. Blood was obtained pre-transplant (baseline), week 1, months 3 and 6 post-transplant. PBMCs were isolated, RNA extracted and gene expression measured using RNAseq. Principal components (PCs) were computed using a surrogate variable approach. DEGs post-transplant were identified by controlling false discovery rate (FDR) at < 0.01 with at least a 2 fold change in expression from pre-transplant. The top 5 DEGs with higher levels of transcripts in blood at week 1 were TOMM40L, TMEM205, OLFM4, MMP8, and OSBPL9 compared to baseline. The top 5 DEGs with lower levels at week 1 post-transplant were IL7R, KLRC3, CD3E, CD3D, and KLRC2 (Striking Image) compared to baseline. The top pathways from genes with lower levels at 1 week post-transplant compared to baseline, were T cell receptor signaling and iCOS-iCOSL signaling while the top pathways from genes with higher levels than baseline were axonal guidance signaling and LXR/RXR activation. Gene expression signatures at month 3 were similar to week 1. DEGs at 6 months post-transplant create a different gene signature than week 1 or month 3 post-transplant. RNAseq analysis identified more DEGs with lower than higher levels in blood compared to baseline at week 1 and month 3. The number of DEGs decreased with time post-transplant. Further investigations to determine the specific lymphocyte(s) responsible for differential gene expression may be important in selecting and personalizing immune suppressant drugs and may lead to targeted therapies.

Indexed as

Kidney TransplantationAdultAllograftsBase SequenceCalcineurin InhibitorsFemaleGene ExpressionGene Expression RegulationHumansImmunosuppression TherapyImmunosuppressive AgentsIMP DehydrogenaseLeukocytes, MononuclearMaleMiddle AgedMycophenolic AcidCalcineurin InhibitorsImmunosuppressive AgentsIMP DehydrogenaseMycophenolic Acid

Identifiers

PMID25946140
PMCPMC4422721
OpenAlexW2239813943

What Socratic 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 Socratic graph.