Evidence map›Paper›PMID 27528862›Full record

ArticleClinical proteomics2016

A proteomic evaluation of urinary changes associated with cardiopulmonary bypass.

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

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 2 institutions in 1 country.

Ravi C DwivediManitoba Centre for Proteomics and Systems Biology, University of Manitoba and Health Sciences Centre, Room 799, John Buhler Research Center, 715 Mc Dermot Avenue, Winnipeg, MB R3E 3P4 Canada ; Department of Internal Medicine, Section of Biomedical Proteomics, University of Manitoba, Winnipeg, MB Canada.
Mario NavarreteManitoba Centre for Proteomics and Systems Biology, University of Manitoba and Health Sciences Centre, Room 799, John Buhler Research Center, 715 Mc Dermot Avenue, Winnipeg, MB R3E 3P4 Canada ; Department of Internal Medicine, Section of Biomedical Proteomics, University of Manitoba, Winnipeg, MB Canada.
Nora ChoiManitoba Centre for Proteomics and Systems Biology, University of Manitoba and Health Sciences Centre, Room 799, John Buhler Research Center, 715 Mc Dermot Avenue, Winnipeg, MB R3E 3P4 Canada ; Department of Internal Medicine, Section of Biomedical Proteomics, University of Manitoba, Winnipeg, MB Canada ; Cardiac Sciences Program, St. Boniface Hospital Research Centre, Winnipeg, Canada.
Victor SpicerManitoba Centre for Proteomics and Systems Biology, University of Manitoba and Health Sciences Centre, Room 799, John Buhler Research Center, 715 Mc Dermot Avenue, Winnipeg, MB R3E 3P4 Canada ; Department of Internal Medicine, Section of Biomedical Proteomics, University of Manitoba, Winnipeg, MB Canada.
Claudio RigattoDepartment of Internal Medicine, Section of Nephrology, University of Manitoba, Winnipeg, MB Canada.
Rakesh C AroraDepartment of Surgery, University of Manitoba, Winnipeg, MB Canada ; Cardiac Sciences Program, St. Boniface Hospital Research Centre, Winnipeg, Canada.
Oleg KrokhinManitoba Centre for Proteomics and Systems Biology, University of Manitoba and Health Sciences Centre, Room 799, John Buhler Research Center, 715 Mc Dermot Avenue, Winnipeg, MB R3E 3P4 Canada ; Department of Internal Medicine, Section of Biomedical Proteomics, University of Manitoba, Winnipeg, MB Canada.
Julie HoManitoba Centre for Proteomics and Systems Biology, University of Manitoba and Health Sciences Centre, Room 799, John Buhler Research Center, 715 Mc Dermot Avenue, Winnipeg, MB R3E 3P4 Canada ; Department of Internal Medicine, Section of Biomedical Proteomics, University of Manitoba, Winnipeg, MB Canada ; Department of Internal Medicine, Section of Nephrology, University of Manitoba, Winnipeg, MB Canada ; Department of Immunology, University of Manitoba, Winnipeg, MB Canada.
John A WilkinsManitoba Centre for Proteomics and Systems Biology, University of Manitoba and Health Sciences Centre, Room 799, John Buhler Research Center, 715 Mc Dermot Avenue, Winnipeg, MB R3E 3P4 Canada ; Department of Internal Medicine, Section of Biomedical Proteomics, University of Manitoba, Winnipeg, MB Canada.
University of Manitoba · CAHealth Sciences Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsUrines 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).

resultsThe 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).

conclusionsThis 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.

Indexed as

Cardiac surgeryData dependent acquisition (DDA)Data independent acquisition (DIA)Information dependent data acquisition (IDA)Label free quantitationMolecular weight cut off (MWCO) filtersProteomicsRenalSWATHUrine

Identifiers

PMID27528862
PMCPMC4983784
OpenAlexW2468776262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.