Evidence map›Paper›PMID 29641209›Full record

ArticleJournal of proteome research2018

A Cost-Effective High-Throughput Plasma and Serum Proteomics Workflow Enables Mapping of the Molecular Impact of Total Pancreatectomy with Islet Autotransplantation.

Tue Bjerg Bennike, Melena D Bellin, Yue Xuan, Allan Stensballe, Frederik Trier Møller, Gregory J Beilman, Ofer Levy, Zobeida Cruz-Monserrate, Vibeke Andersen, Judith Steen and 2 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

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  15. Ultra-fast proteomics with Scanning SWATH.Nature biotechnology · 2021
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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

12 authors.

Tue Bjerg BennikeDepartment of Pathology , Harvard Medical School , Boston , Massachusetts , United States.ORCID 0000-0003-4354-1731
Melena D BellinDepartment of Surgery , University of Minnesota Medical Center , Minneapolis , Minnesota , United States.
Yue XuanThermo Fisher Scientific , Bremen , Germany.
Allan StensballeDepartment of Health Science and Technology , Aalborg University , Aalborg , Denmark.ORCID 0000-0002-9888-1955
Frederik Trier MøllerDepartment of Epidemiology Research , Statens Serum Institut , Copenhagen , Denmark.
Gregory J BeilmanDepartment of Surgery , University of Minnesota Medical Center , Minneapolis , Minnesota , United States.
Ofer LevyPrecision Vaccines Program , Boston Children's Hospital , Boston , Massachusetts , United States.
Zobeida Cruz-MonserrateDivision of Gastroenterology, Hepatology and Nutrition , The Ohio State University Wexner Medical Center , Columbus , Ohio United States.
Vibeke AndersenFocused Research Unit for Molecular Diagnostic and Clinical Research (MOK), IRS-Center Sonderjylland , Hospital of Southern Jutland , Aabenraa , Denmark.
Judith SteenF.M. Kirby Neurobiology Center, Boston Children's Hospital, and Department of Neurology , Harvard Medical School , Boston , Massachusetts , United States.
Darwin L ConwellDivision of Gastroenterology, Hepatology and Nutrition , The Ohio State University Wexner Medical Center , Columbus , Ohio United States.
Hanno SteenDepartment of Pathology , Harvard Medical School , Boston , Massachusetts , United States.

Funding

Transcriptomics to define biomarkers of neonatal vaccine immunogenicityU19AI118608 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI OZONOFF, AL · 2017 to 2021
$24.7M
The Ohio State University Pancreatic Disorders Network (OSU-PDN)U01DK108327 · NIDDK · OHIO STATE UNIVERSITY · PI CONWELL, DARWIN LEWIS, HART, PHILIP A. · 2015 to 2024
$5.5M
Sitagliptin therapy to improve outcomes after islet autotransplantation.K23DK084315 · NIDDK · UNIVERSITY OF MINNESOTA · PI BELLIN, MELENA D. · 2010 to 2014
$816k
NIAID NIH HHS U19 AI118608NIDDK NIH HHS K23 DK084315NIDDK NIH HHS U01 DK108327
6 · The paper itself

Abstract

Blood is an ideal body fluid for the discovery or monitoring of diagnostic and prognostic protein biomarkers. However, discovering robust biomarkers requires the analysis of large numbers of samples to appropriately represent interindividual variability. To address this analytical challenge, we established a high-throughput and cost-effective proteomics workflow for accurate and comprehensive proteomics at an analytical depth applicable for clinical studies. For validation, we processed 1 μL each from 62 plasma samples in 96-well plates and analyzed the product by quantitative data-independent acquisition liquid chromatography/mass spectrometry; the data were queried using feature quantification with Spectronaut. To show the applicability of our workflow to serum, we analyzed a unique set of samples from 48 chronic pancreatitis patients, pre and post total pancreatectomy with islet autotransplantation (TPIAT) surgery. We identified 16 serum proteins with statistically significant abundance alterations, which represent a molecular signature distinct from that of chronic pancreatitis. In summary, we established a cost-efficient high-throughput workflow for comprehensive proteomics using PVDF-membrane-based digestion that is robust, automatable, and applicable to small plasma and serum volumes, e.g., finger stick. Application of this plasma/serum proteomics workflow resulted in the first mapping of the molecular implications of TPIAT on the serum proteome.

Indexed as

Islets of Langerhans TransplantationPancreatectomyBiomarkersBlood ProteinsChromatography, LiquidCost-Benefit AnalysisHumansPancreatitisProteomicsTandem Mass SpectrometryTransplantation, AutologousWorkflowBiomarkersBlood Proteinsbiomarkerdata-independent acquisitionplasmaserumTPIAT

Identifiers

PMID29641209
PMCPMC6791589

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.