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A proteomic evaluation of urinary changes associated with cardiopulmonary bypass

Overview of attention for article published in Clinical Proteomics, August 2016
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Title
A proteomic evaluation of urinary changes associated with cardiopulmonary bypass
Published in
Clinical Proteomics, August 2016
DOI 10.1186/s12014-016-9118-9
Pubmed ID
Authors

Ravi C. Dwivedi, Mario Navarrete, Nora Choi, Victor Spicer, Claudio Rigatto, Rakesh C. Arora, Oleg Krokhin, Julie Ho, John A. Wilkins

Abstract

The urinary proteome of patients undergoing cardiopulmonary bypass (CPB) may provide important insights into systemic and renal changes associated with the procedure. Such information may ultimately provide a basis to differentiate changes or properties associated with the development of acute kidney injury. While mass spectrometry (MS) analysis offers the potential for in-depth compositional analysis it is often limited in coverage and relative quantitation capacity. The aim of this study was to develop a process flow for the preparation and comparison of the intraoperative urinary proteome. Urines were collected from patients at the start of CPB and 1-h into CPB. Pooled samples (n = 5) from each time point were processed using a modified Filter Assisted Sample Preparation protocol. The resulting peptides were analyzed by 2D-LC-MS/MS and by 1D-LC-MS/MS SWATH (Sequential Window acquisition of All Theoretical fragment ion spectra). The 2D-LC-MS/MS analysis identified 1324 proteins in the two pools, of which 744 were quantifiable. The SWATH approach provided quantitation for 730 proteins, 552 of which overlapped with the common population from the 2D-IDA results. Intensity correlation filtering between the two methods gave 475 proteins for biological interpretation. Proteins displaying greater than threefold changes (>log2 1.59) at 1-hour CPB relative to the initiation of CPB (26 down-regulated and 22 up-regulated) were selected for further analysis. Up-regulated proteins were enriched in GO terms related to humoral immune response, predominantly innate immunity (C4b, lactotransferrin, protein S100-A8, cathelicidin, myeloperoxidase) and extracellular matrix reorganization (e.g. MMP-9). This study describes a scheme for processing urine from patients undergoing CPB for mass spectrometry-based analysis. The introduction of SWATH into the workflow offers a sample and instrument sparing approach to obtaining consistent in-depth sample analysis. The design of the methodology is such that it can be readily applied to large numbers of clinical samples with the potential for automation. The results also suggest that activation of the innate immune responses occur during cardiac bypass surgery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 25%
Student > Ph. D. Student 4 20%
Professor > Associate Professor 2 10%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Other 5 25%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 25%
Agricultural and Biological Sciences 3 15%
Medicine and Dentistry 2 10%
Engineering 2 10%
Computer Science 1 5%
Other 3 15%
Unknown 4 20%
Attention Score in Context

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 17 August 2016.
All research outputs
#14,269,286
of 22,882,389 outputs
Outputs from Clinical Proteomics
#148
of 285 outputs
Outputs of similar age
#198,042
of 344,201 outputs
Outputs of similar age from Clinical Proteomics
#5
of 9 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 43rd percentile – i.e., 43% 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 344,201 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.