Evidence map›Paper›PMID 26742487›Full record

ArticleHuman genomics2016

Intragraft transcriptional profiling of renal transplant patients with tubular dysfunction reveals mechanisms underlying graft injury and recovery.

Hátylas Azevedo, Paulo Guilherme Renesto, Rogério Chinen, Erika Naka, Ana Cristina Carvalho de Matos, Marcos Antônio Cenedeze, Carlos Alberto Moreira-Filho, Niels Olsen Saraiva Câmara, Alvaro Pacheco-Silva

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2016. 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
0.2field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. 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

9 authors at 3 institutions in 1 country.

Hátylas AzevedoDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
Paulo Guilherme RenestoLaboratory of Clinical and Experimental Immunology, Nephrology Division, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Rogério ChinenLaboratory of Clinical and Experimental Immunology, Nephrology Division, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Erika NakaLaboratory of Clinical and Experimental Immunology, Nephrology Division, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Ana Cristina Carvalho de MatosLaboratory of Clinical and Experimental Immunology, Nephrology Division, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Marcos Antônio CenedezeLaboratory of Clinical and Experimental Immunology, Nephrology Division, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Carlos Alberto Moreira-FilhoDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
Niels Olsen Saraiva CâmaraLaboratory of Transplantation Immunobiology, Department of Immunology, Institute of Biomedical Sciences, Universidade de São Paulo (USP), São Paulo, Brazil. niels@icb.usp.br.
Alvaro Pacheco-SilvaLaboratory of Clinical and Experimental Immunology, Nephrology Division, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil. alvaro.pfilho@einstein.br.
Universidade Federal de São Paulo · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHospital Israelita Albert Einstein · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProximal tubular dysfunction (PTD) is associated with a decreased long-term graft survival in renal transplant patients and can be detected by the elevation of urinary tubular proteins. This study investigated transcriptional changes in biopsies from renal transplant patients with PTD to disclose molecular mechanisms underlying graft injury and functional recovery.

methodsThirty-three renal transplant patients with high urinary levels of retinol-binding protein, a biomarker of PTD, were enrolled in the study. The initial immunosuppressive scheme included azathioprine, cyclosporine, and steroids. After randomization, 18 patients (group 2) had their treatment modified by reducing cyclosporine dosage and substituting azathioprine for mycophenolate mofetil, while the other 15 patients (group 1) remained under the initial scheme. Patients were biopsied at enrollment and after 12 months of follow-up, and paired comparisons were performed between their intragraft gene expression profiles. The differential transcriptome profiles were analyzed by constructing gene co-expression networks and identifying enriched functions and central nodes in each network.

resultsOnly the alternative immunosuppressive scheme used in group 2 ameliorated renal function and tubular proteinuria after 12 months of follow-up. Intragraft molecular changes observed in group 2 were linked to autophagy, extracellular matrix, and adaptive immunity. Conversely, gene expression changes in group 1 were related to fibrosis, endocytosis, ubiquitination, and endoplasmic reticulum stress.

conclusionThese results suggest that molecular networks associated with the control of endocytosis, autophagy, protein overload, fibrosis, and adaptive immunity may be involved in improvement of graft function.

Indexed as

AdultAgedAzathioprineCyclosporineFanconi SyndromeFemaleGene Expression RegulationGenomicsGraft SurvivalHumansImmunosuppression TherapyKidney TransplantationMaleMiddle AgedRandom AllocationRetinol-Binding Proteins, CellularAzathioprineCyclosporineRetinol-Binding Proteins, CellularSteroids

Identifiers

PMID26742487
PMCPMC4705764
OpenAlexW2225613094

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.