Evidence map›Paper›PMID 29191961›Full record

ArticleJournal of the American Society of Nephrology : JASN2018

Intragraft Molecular Pathways Associated with Tolerance Induction in Renal Transplantation.

Lorenzo Gallon, James M Mathew, Sai Vineela Bontha, Catherine I Dumur, Pranav Dalal, Lakshmi Nadimpalli, Daniel G Maluf, Aneesha A Shetty, Suzanne T Ildstad, Joseph R Leventhal and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. Article
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  8. 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

11 authors at 5 institutions in 2 countries.

Lorenzo GallonDepartments of Medicine-Nephrology, l-gallon@northwestern.edu.
James M MathewComprehensive Transplant Center, Northwestern University, Chicago, Illinois.ORCID 0000-0002-5667-750X
Sai Vineela BonthaTranslational Genomics Transplant Laboratory, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Catherine I DumurMolecular Diagnostics Laboratory, Department of Pathology, Virginia Commonwealth University, Richmond, Virginia; and.
Pranav DalalComprehensive Transplant Center, Northwestern University, Chicago, Illinois.
Lakshmi NadimpalliComprehensive Transplant Center, Northwestern University, Chicago, Illinois.
Daniel G MalufTranslational Genomics Transplant Laboratory, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Aneesha A ShettyDepartments of Medicine-Nephrology.
Suzanne T IldstadDepartments of Surgery.
Joseph R LeventhalComprehensive Transplant Center, Northwestern University, Chicago, Illinois.
Valeria R MasTranslational Genomics Transplant Laboratory, Department of Surgery, University of Virginia, Charlottesville, Virginia.ORCID 0000-0001-9297-9751
Northwestern University · USUniversity of Virginia · USBipar · FRUniversity of Louisville · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The modern immunosuppression regimen has greatly improved short-term allograft outcomes but not long-term allograft survival. Complications associated with immunosuppression, specifically nephrotoxicity and infection risk, significantly affect graft and patient survival. Inducing and understanding pathways underlying clinical tolerance after transplantation are, therefore, necessary. We previously showed full donor chimerism and immunosuppression withdrawal in highly mismatched allograft recipients using a bioengineered stem cell product (FCRx). Here, we evaluated the gene expression and microRNA expression profiles in renal biopsy samples from tolerance-induced FCRx recipients, paired donor organs before implant, and subjects under standard immunosuppression (SIS) without rejection and with acute rejection. Unlike allograft samples showing acute rejection, samples from FCRx recipients did not show upregulation of T cell- and B cell-mediated rejection pathways. Gene expression pathways differed slightly between FCRx samples and the paired preimplantation donor organ samples, but most of the functional gene networks overlapped. Notably, compared with SIS samples, FCRx samples showed upregulation of genes involved in pathways, like B cell receptor signaling. Additionally, prediction analysis showed inhibition of proinflammatory regulators and activation of anti-inflammatory pathways in FCRx samples. Furthermore, integrative analyses (microRNA and gene expression profiling from the same biopsy sample) identified the induction of regulators with demonstrated roles in the downregulation of inflammatory pathways and maintenance of tissue homeostasis in tolerance-induced FCRx samples compared with SIS samples. This pilot study highlights the utility of molecular intragraft evaluation of pathways related to FCRx-induced tolerance and the use of integrative analyses for identifying upstream regulators of the affected downstream molecular pathways.

Indexed as

Hematopoietic Stem Cell TransplantationKidney TransplantationAdultAgedB-LymphocytesChimerismDown-RegulationFemaleGene ExpressionGene OntologyGraft RejectionGraft SurvivalHumansImmunosuppression TherapyMaleMicroRNAsMicroRNAsRNA, MessengerImmunology and pathologykidney biopsykidney transplantationtolerancetranscriptional profiling

Identifiers

PMID29191961
PMCPMC5791065
OpenAlexW2772411532

What OpenQuestion holds

Textmetadata
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.