Evidence map›Paper›PMID 37059833›Full record

ArticleScientific reports2023

Mass spectrometry-based proteomic strategy for ecchymotic skin examination in forensic pathology.

Lorenzo Toma, Giulia Vignali, Elisa Maffioli, Stefano Tambuzzi, Roberta Giaccari, Monica Mattarozzi, Simona Nonnis, Marco Milioli, Lorenzo Franceschetti, Gianluca Paredi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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

16 authors at 3 institutions in 1 country.

Lorenzo Toma *Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124, Parma, Italy.
Giulia Vignali *Institute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, 20133, Milan, Italy.
Elisa Maffioli *Department of Veterinary Medicine and Animal Science, University of Milan, 26900, Lodi, Italy.
Stefano TambuzziInstitute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, 20133, Milan, Italy.
Roberta GiaccariFood and Drug Department, University of Parma, 43124, Parma, Italy.
Monica MattarozziDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124, Parma, Italy. monica.mattarozzi@unipr.it.ORCID 0000-0002-6766-4616
Simona NonnisDepartment of Veterinary Medicine and Animal Science, University of Milan, 26900, Lodi, Italy. simona.nonnis@unimi.it.ORCID 0000-0002-3453-7282
Marco MilioliDepartment of Pharmacokinetic, Biochemistry and Metabolism, Global Research and Preclinical Development, Chiesi Farmaceutici Spa, 43122, Parma, Italy.
Lorenzo FranceschettiInstitute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, 20133, Milan, Italy.
Gianluca ParediFood and Drug Department, University of Parma, 43124, Parma, Italy.
Armando NegriDepartment of Veterinary Medicine and Animal Science, University of Milan, 26900, Lodi, Italy.
Benedetta RiccardiDepartment of Pharmacokinetic, Biochemistry and Metabolism, Global Research and Preclinical Development, Chiesi Farmaceutici Spa, 43122, Parma, Italy.
Cristina CattaneoInstitute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, 20133, Milan, Italy.
Maria CareriDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124, Parma, Italy.
Gabriella TedeschiDepartment of Veterinary Medicine and Animal Science, University of Milan, 26900, Lodi, Italy.
Stefano BrunoFood and Drug Department, University of Parma, 43124, Parma, Italy.
University of Milan · ITUniversity of Parma · ITChiesi (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry (MS)-based proteomics has recently attracted the attention from forensic pathologists. This work is the first report of the development of a shotgun bottom-up proteomic approach based on rapid protein extraction and nano-liquid chromatography/high-resolution mass spectrometry applied to full-thickness human skin for the differential analysis of normal and ecchymotic tissues to identify new biomarkers for bruise characterization and dating. We identified around 2000 proteins from each pooled extract. The method showed excellent precision on independent replicates, with Pearson correlation coefficients always higher than 95%. Glycophorin A, a known biomarker of vital wounds from immunochemical studies, was identified only in ecchymotic tissues, as confirmed by Western blotting analysis. This finding suggests that this protein can be used as a MS-detectable biomarker of wound vitality. By focusing on skin samples from individuals with known wound dating, besides Glycophorin A, other proteins differentially expressed in ecchymotic samples and dependant on wound age were identified, although further analysis on larger datasets are needed to validate these findings. This study paves the way for an in-depth investigation of the potential of MS-based techniques for wound examination in forensic pathology, overcoming the limitations of immunochemical assays.

Indexed as

GlycophorinsTandem Mass SpectrometryBiomarkersForensic PathologyHumansProteinsProteomicsBiomarkersGlycophorinsProteins

Identifiers

PMID37059833
PMCPMC10104867
OpenAlexW4365517116

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.