Protein Biomarkers as Molecular Tools for Forensic Biofluid Identification
Clinical Snapshot
PICO Framework
| P — Population | Forensic biological samples (blood, saliva, semen, tissues) |
| I — Intervention | Proteomic analysis using mass spectrometry and bioinformatics |
| C — Comparator | Traditional DNA analysis and conventional forensic methods |
| O — Outcomes | Biofluid identification accuracy, post-mortem interval estimation, species identification |
Bottom Line
This narrative review examines the potential of proteomic biomarkers in forensic applications, particularly for biofluid identification and post-mortem interval estimation. While the technology shows promise for enhancing forensic investigations when DNA analysis is insufficient, the review lacks systematic methodology and provides no quantitative evidence synthesis. The authors appropriately acknowledge significant barriers to implementation, including equipment costs, sample stability issues, and the need for standardized protocols that meet legal standards. The field remains in early development, requiring extensive validation studies before routine forensic application. Healthcare professionals should view this as an emerging technology with potential future applications rather than a ready-to-implement forensic tool.
Key Findings
Effect Size: Not quantified
Primary Outcome: Forensic proteomics shows promise for biofluid identification and PMI estimation
Nnt Or Sensitivity: Sensitivity and specificity values not reported
Confidence Interval: Not provided
Clinical Application
Currently limited by high costs, equipment requirements, and lack of standardization Would require validation under Australian forensic standards and potential integration with existing forensic protocols Forensic laboratories and legal medicine practitioners
Abstract
Forensic proteomics has rapidly established a significant role in forensics, particularly when DNA analysis is insufficient. Proteomics has been frequently recognized for helping reveal useful information about the origin, state and context of forensic samples. Proteins are considered crucial biomarkers in biological samples because of their ability to elucidate cellular functions and post-mortem alterations. Combining advanced mass spectrometry and bioinformatics has increased the importance of proteomics in forensic sciences. The current study examined the use of proteomic technologies, mass spectrometry, and sophisticated software across the key domains of forensic research. The procedure for Post-Mortem Interval (PMI) estimation and body fluid classification proved to be more precise because of the use of machine learning. Peptide biomarkers have helped identify various species by samples of blood, saliva, and semen, and recognize brain, muscles, and skin tissues. Despite significant advancements, the wide acceptance of forensic proteomics remains problematic due to intricate sample stability, high equipment costs, and strict legal standards. Recent advancements in analytical sensitivity, data interpretation tools, and collaborative efforts toward robust protocols position forensic proteomics as an indispensable component of the forensic toolkit. This review indicates the increasing relevance of proteomics in forensic applications, especially relating to PMI estimation, body fluid differentiation, and disease profiling. It promises to significantly enhance the depth of evidentiary interpretation and contribute to more precise and equitable outcomes in the criminal justice system. Proteomic biomarkers need further validation across a range of environments, and standardized protocols should be developed and tested to ensure that proteomics is suitable for forensic use in the courts.
References
- 1.Chhikara, A., Gupta, V., Kumari, P., & Dalal, J. (2026). Protein biomarkers as molecular tools for forensic biofluid identification. Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.5c00898
Related Research
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Handwritten signatures in neurological and psychiatric disorders: a systematic review with clinical and forensic implications.
30 July 2026
PloS one
New integrative methodology for the excavation and study of mass graves and partially commingled remains
20 July 2026
Proceedings of the National Academy of Sciences of the United States of America
Training humans to detect AI-generated faces
30 June 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service