Evidence map›Paper›PMID 20504838›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2010

Low-density array PCR analysis of reperfusion biopsies: an adjunct to histological analysis.

Paolo Cravedi, Umberto Maggiore, Roslyn B Mannon

Abstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
  4. 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

3 authors.

Paolo CravediMario Negri Institute for Pharmacological Research, Bergamo, Italy. p.cravedi@gmail.com
Umberto Maggiore
Roslyn B Mannon

Funding

Long-term Deterioration of Kidney Allograft FunctionU01AI058013 · NIAID · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MATAS, ARTHUR J · 2005 to 2010
$10.2M
Preserving Renal Function & Protective Immunity Via Anti-LFA1-Based CNI AvoidanceU01AI084150 · NIAID · EMORY UNIVERSITY · PI NEWELL, KENNETH A. · 2009 to 2013
$10.2M
The Role of Connective Tissue Growth Factor in Chronic AZ01DK062008 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI MANNON, ROSLYN B · 2003 to 2008
$1.3M
Intramural NIH HHS Z01 DK062008NIAID NIH HHS U01 AI058013NIAID NIH HHS U01AI058013NIAID NIH HHS U01 AI084150NIAID NIH HHS U01AI084150
6 · The paper itself

Abstract

backgroundHistologic evaluation of baseline kidney biopsies is an inconsistent tool to predict graft outcomes, which might be assisted by gene expression analysis.

methodsWe evaluated 49 consecutive kidney graft biopsies obtained post-reperfusion in 18 deceased donors (DD) and 31 living donors (LD) at our center. Biopsies were evaluated and scored using Banff criteria. Low-density real-time polymerase chain reaction arrays were used to measure intragraft expression of 95 genes associated with programmed cell death, fibrosis, innate and adaptive immunity and oxidative stress signaling. A pool of 25 normal kidney biopsies was used as control. We applied a stepwise forward selection procedure to build a multiple regression model predicting estimated glomerular filtration rate (eGFR) at 1 year after transplant using baseline clinical characteristics and gene expression levels.

resultsDD grafts displayed a pattern of gene expression remarkably different from LD, including an increased expression of complement protein C3, and chemokines, CXCL1 and CXCL2, consistent with the proinflammatory setting of ischaemia-reperfusion injury. There was no association between any of the reperfusion biopsy histological features and either renal function at 1 year post-transplant or risk of acute rejection. Conversely, older donor age (R(2) = 0.17, P < 0.001) and higher integrin β2 gene expression levels (incremental R(2) versus Donor Age-only model = 0.23, P < 0.001) jointly predicted lower eGFR at 1 year after transplant (multiple regression R(2) = 0.40). Patients with higher ITGβ2 expression levels in baseline biopsies showed lower eGFR, higher levels of proteinuria and more transplant glomerulopathy on the 1-year per-protocol biopsies.

conclusionITGβ2 gene expression in reperfusion biopsies may represent a prognostic marker for kidney transplant recipients, potentially helpful in shaping patients' treatment. Further studies are needed to confirm our findings.

Indexed as

Gene Expression ProfilingPolymerase Chain ReactionAdultAge FactorsBiomarkersBiopsyCase-Control StudiesCD18 AntigensFemaleHumansKidneyKidney TransplantationLiving DonorsMaleMiddle AgedPrognosisBiomarkersCD18 Antigens

Identifiers

PMID20504838
PMCPMC3108365

What OpenQuestion holds

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Registered trials

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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.