Evidence map›Paper›PMID 32636717›Full record

ArticleClinical proteomics2020

The plasma peptides of sepsis.

Thanusi Thavarajah, Claudia C Dos Santos, Arthur S Slutsky, John C Marshall, Pete Bowden, Alexander Romaschin, John G Marshall

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

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  4. Plasma proteomics identifies molecular subtypes in sepsis.Critical care (London, England) · 2025
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  7. Multi-omic studies on the pathogenesis of Sepsis.Journal of translational medicine · 2025
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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

7 authors at 3 institutions in 2 countries.

Thanusi ThavarajahRyerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada.
Claudia C Dos SantosSt. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada.
Arthur S SlutskySt. Michael's Hospital, Keenan Chair in Medicine, University of Toronto, Toronto, Canada.
John C MarshallInternational Biobank of Luxembourg (IBBL), Institute of Health (formerly CRP Sante Luxembourg), Dudelange, Luxembourg.
Pete BowdenRyerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada.
Alexander RomaschinSt. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada.
John G MarshallRyerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada.ORCID 0000-0002-7124-1448
St. Michael's Hospital · CANational Library of Luxembourg · LUToronto Metropolitan University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA practical strategy to discover sepsis specific proteins may be to compare the plasma peptides and proteins from patients in the intensive care unit with and without sepsis. The aim was to discover proteins and/or peptides that show greater observation frequency and/or precursor intensity in sepsis. The endogenous tryptic peptides of ICU-Sepsis were compared to ICU Control, ovarian cancer, breast cancer, female normal, sepsis, heart attack, Alzheimer's and multiple sclerosis along with their institution-matched controls, female normals and normal samples collected directly onto ice.

methodsEndogenous tryptic peptides were extracted from individual sepsis and control EDTA plasma samples in a step gradient of acetonitrile for random and independent sampling by LC-ESI-MS/MS with a set of robust and sensitive linear quadrupole ion traps. The MS/MS spectra were fit to fully tryptic peptides within proteins using the X!TANDEM algorithm. The protein observation frequency was counted using the SEQUEST algorithm after selecting the single best charge state and peptide sequence for each MS/MS spectra. The protein observation frequency of ICU-sepsis versus ICU Control was subsequently tested by Chi square analysis. The average protein or peptide log

resultsPeptides and/or phosphopeptides of common plasma proteins such as ITIH3, SAA2, SAA1, and FN1 showed increased observation frequency by Chi square (χ

conclusionSpecific proteins and peptides that vary between diseases might be discovered by the random and independent sampling of multiple disease and control plasma from different hospital and clinics by LC-ESI-MS/MS for storage in a relational SQL Server database and analysis with the R statistical system that will be a powerful tool for clinical research. The processing of SAA1 may play an unappreciated role in the inflammatory response to Sepsis.

Indexed as

Chi square test and ANOVADiscovery of variationElectrospray ionization tandem mass spectrometryHuman EDTA plasmaIntensive Care UnitLC–ESI–MS/MSLinear quadrupole ion trapNano chromatographyOrganic extractionRandom and independent samplingSepsisSQL SERVER & R

Identifiers

PMID32636717
PMCPMC7331219
OpenAlexW3040158332

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.