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

Overview of attention for article published in Human Genomics, January 2016
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

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3 tweeters

Citations

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3 Dimensions

Readers on

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24 Mendeley
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Title
Intragraft transcriptional profiling of renal transplant patients with tubular dysfunction reveals mechanisms underlying graft injury and recovery
Published in
Human Genomics, January 2016
DOI 10.1186/s40246-015-0059-6
Pubmed ID
Authors

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

Abstract

Proximal 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. Thirty-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. Only 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. These 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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 29%
Researcher 3 13%
Student > Master 2 8%
Student > Doctoral Student 2 8%
Librarian 1 4%
Other 4 17%
Unknown 5 21%
Readers by discipline Count As %
Medicine and Dentistry 7 29%
Computer Science 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Engineering 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Other 1 4%
Unknown 7 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2016.
All research outputs
#2,975,000
of 6,922,153 outputs
Outputs from Human Genomics
#92
of 137 outputs
Outputs of similar age
#128,810
of 302,528 outputs
Outputs of similar age from Human Genomics
#7
of 10 outputs
Altmetric has tracked 6,922,153 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
So far Altmetric has tracked 137 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 302,528 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.