Evidence map›Paper›PMID 40899810›Full record

ArticleJournal of proteome research2025

Potential of Proteomics in Forensic Phenotyping: A Focus on Biological Sex Estimation.

Shirin Alex, Ruben Almey, Rachel Sian Dennis, Olivier Tytgat, Robbin Bouwmeester, Dieter Deforce, Marcel De Puit, Maarten Dhaenens, Laura De Clerck

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Shirin AlexNetherlands Forensic Institute, Laan van Ypenburg 6, Den Haag 2497GB, the Netherlands.ORCID 0009-0007-3049-2500
Ruben AlmeyProGenTomics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Belgium.ORCID 0000-0001-6911-5904
Rachel Sian DennisProGenTomics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Belgium.
Olivier TytgatProGenTomics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Belgium.
Robbin BouwmeesterVIB-UGhent Center for Medical Biotechnology, Technologiepark-Zwijnaarde 75, Ghent 9052, Belgium.ORCID 0000-0001-6807-7029
Dieter DeforceProGenTomics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Belgium.
Marcel De PuitNetherlands Forensic Institute, Laan van Ypenburg 6, Den Haag 2497GB, the Netherlands.
Maarten DhaenensProGenTomics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Belgium.ORCID 0000-0002-9801-3509
Laura De ClerckProGenTomics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forensic DNA analysis is well established for phenotyping, providing valuable investigative leads. Proteomics, the large-scale study of proteins, is emerging as a complementary tool to DNA analysis, particularly for enhancing the evidential value of traces. This study explores the potential of proteomics to extract phenotypic traits from whole blood, using the estimation of biological sex as a starting point. Using LC-MS/MS, proteomes from 100 whole blood samples of known sex were analyzed to develop a biological sex classifier. Cross-validation of the model highlighted the model's ability to achieve accurate classification, identifying key peptides, such as those from pregnancy zone protein and ceruloplasmin, as critical markers. To test real-world applicability, mock case samples were generated, bringing attention to the need for model robustness. Overall, our results suggest that using proteomics to infer phenotypic traits from whole blood samples in the context of forensics, while feasible, is hindered by hard-to-overcome technical challenges. We therefore recommend that future forensic proteomics research be directed toward areas where it can be most informative, such as source attribution and estimating the timeline of events, rather than focusing on extracting phenotypic traits for donor profiling.

Indexed as

Forensic MedicineProteomicsSex Determination AnalysisBiomarkersFemaleHumansMalePeptidesProteomeBiomarkersPeptidesProteomeforensic phenotypingmachine learningmass spectrometryproteomicssex estimation

Identifiers

PMID40899810
PMCPMC12501993

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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.