Evidence map›Paper›PMID 41921955›Full record

ArticleAnalytical chemistry2026

Application of Proteomic Workflows for the Identification of Biomarkers for the Retrospective Verification of Sulfur Mustard Intoxication.

Gianin Thomann, Maximilian Brackmann, Christian G Bochet, Christophe Curty

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Gianin ThomannSpiez Laboratory, Federal Office for Civil Protection, 3700 Spiez, Switzerland.ORCID 0000-0003-2980-5008
Maximilian BrackmannSpiez Laboratory, Federal Office for Civil Protection, 3700 Spiez, Switzerland.ORCID 0000-0003-0079-1693
Christian G BochetDepartment of Chemistry, University of Fribourg, 1700 Fribourg, Switzerland.ORCID 0000-0003-4267-0523
Christophe CurtySpiez Laboratory, Federal Office for Civil Protection, 3700 Spiez, Switzerland.ORCID 0000-0003-1527-7638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The family of sulfur mustards, as potent alkylating agents, has been used as chemical warfare agents for over a century. The retrospective verification of exposure and, hence, the confirmation of alleged use of such agents, remains a challenging task with high demand for resources in the identification, preparation, and analysis of potential specific biomarkers. We report a facile, high-throughput methodology appropriate for biomedical samples using proteomic workflows and the implementation of statistical models. Following the strategy, full proteome analysis of blood serum exposed to three different sulfur mustard representatives, namely, mustard gas, sesquimustard, and O-mustard, revealed 270 potential biomarkers with 213 novel alkylation sites. Targeted sample preparation by human serum albumin enrichment using Cibacron Blue-modified magnetic beads and analysis in prm-PASEF mode allowed the unequivocal retrospective verification of in vitro exposure to a level of 5 μM final concentration of agent in serum. Finally, the synthesis of four alkylated amino acid building blocks (Glu, Asp, Cys, and His) and their implementation in four different representative peptide sequences are demonstrated.

Indexed as

Chemical Warfare AgentsMustard GasProteomicsAlkylationAmino Acid SequenceBiomarkersHumansBiomarkersChemical Warfare AgentsMustard Gas

Identifiers

PMID41921955
PMCPMC13084624

What OpenQuestion holds

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Registered trials

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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.