Evidence map›Paper›PMID 37011904›Full record

ArticleJournal of proteome research2023

Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics.

Antoine Lesur, François Bernardin, Eric Koncina, Elisabeth Letellier, Gary Kruppa, Pierre-Olivier Schmit, Gunnar Dittmar

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 21 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

7 authors at 4 institutions in 3 countries.

Antoine LesurLuxembourg Institute of Health, Strassen L-1445, Luxembourg.
François BernardinLuxembourg Institute of Health, Strassen L-1445, Luxembourg.
Eric KoncinaDepartment of Life Sciences and Medicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
Elisabeth LetellierDepartment of Life Sciences and Medicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
Gary KruppaBruker Daltonics, Billerica, Massachusetts 01821, United States.
Pierre-Olivier SchmitBruker Daltonique S.A., Wissembourg F-67160, France.
Gunnar DittmarLuxembourg Institute of Health, Strassen L-1445, Luxembourg.ORCID 0000-0003-3647-8623
University of Luxembourg · LULuxembourg Institute of Health · LUBruker (France) · FRBruker (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood analysis is one of the foundations of clinical diagnostics. In recent years, the analysis of proteins in blood samples by mass spectrometry has taken a jump forward in terms of sensitivity and the number of identified proteins. The recent development of parallel reaction monitoring with parallel accumulation and serial fragmentation (prm-PASEF) combines ion mobility as an additional separation dimension. This increases the proteome coverage while allowing the use of shorter chromatographic gradients. To demonstrate the method's full potential, we used an isotope-labeled synthetic peptide mix of 782 peptides, derived from 579 plasma proteins, spiked into blood plasma samples with a prm-PASEF measurement allowing the quantification of 565 plasma proteins by targeted proteomics. As a less time-consuming alternative to the prm-PASEF method, we describe guided data independent acquisition (dia)-PASEF (g-dia-PASEF) and compare its application to prm-PASEF for measuring blood plasma. To demonstrate both methods' performance in clinical samples, 20 patient plasma samples from a colorectal cancer (CRC) cohort were analyzed. The analysis identified 14 differentially regulated proteins between the CRC patient and control individual plasma samples. This shows the technique's potential for the rapid and unbiased screening of blood proteins, abolishing the need for the preselection of potential biomarker proteins.

Indexed as

PeptidesProteomicsBlood ProteinsChromatography, LiquidHumansMass SpectrometryProteomeBlood ProteinsPeptidesProteomebiomarkercolorectal cancerCRCDIAPASEFplasmaPRMSIL peptidestargeted proteomics

Identifiers

PMID37011904
PMCPMC10243115
OpenAlexW4362521459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.