Rapid and Reagent-Free Analysis of Dried Blood Spot by Paper Spray Mass Spectrometry Reveals Sex: Implications in Forensic Investigations.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2025-05-02 Epub Date: 2025-01-22 DOI:10.1021/acs.jproteome.4c00798
Supratim Mondal, Uddeshya Pandey, Sourik Chakrabarti, Pragya Pahchan, Debasish Koner, Shibdas Banerjee
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Abstract

Identifying sex from an unknown dried blood spot (DBS), especially when the corpse remains undiscovered, often provides valuable evidence in forensic casework. While DNA-based sex determination is a reliable method in forensic settings, it requires expensive reagents and is time-consuming. To develop a rapid reagent-free blood test for sex, we employed paper spray ionization mass spectrometry (PSI-MS) to capture sex-discriminatory lipid profiles from 200 DBS samples comprising 100 males and 100 females. We conducted a supervised machine learning (ML) analysis on all detected lipid signals to hunt biomarkers of sex within the data set. This analysis unveiled significant differences in specific sphingomyelin and phospholipid species levels between male and female DBS samples. Using the parsimonious set of 60 lipid signals, we constructed a classifier that achieved 100% overall accuracy in predicting sex from DBS on paper. Additionally, we assessed three-day-old air-exposed DBS on glass and granite surfaces, simulating the typical blood samples available for forensic investigations. Consequently, we achieved ∼92% overall sex prediction accuracy from the holdout test data set of DBS on glass and granite surfaces. As a highly sensitive detection tool, PSI-MS combined with ML has the potential to revolutionize forensic methods by rapidly analyzing blood molecules encoding personal information.

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用纸喷雾质谱法快速和无试剂分析干血斑揭示性别:在法医调查中的意义。
从未知的干血点(DBS)中识别性别,特别是当尸体未被发现时,通常为法医案件提供有价值的证据。虽然基于dna的性别测定在法医环境中是一种可靠的方法,但它需要昂贵的试剂,而且耗时。为了开发一种快速的无试剂血液性别检测方法,我们采用了纸喷雾电离质谱法(PSI-MS),从200份DBS样本(包括100名男性和100名女性)中捕获了性别差异的脂质谱。我们对所有检测到的脂质信号进行了监督式机器学习(ML)分析,以在数据集中寻找性别生物标志物。该分析揭示了雄性和雌性DBS样本之间特定鞘磷脂和磷脂种类水平的显着差异。使用60个脂质信号的精简集,我们构建了一个分类器,该分类器在预测纸上DBS的性别方面达到100%的总体准确率。此外,我们评估了在玻璃和花岗岩表面暴露三天的DBS,模拟了法医调查可用的典型血液样本。因此,我们从DBS在玻璃和花岗岩表面的顽固测试数据集中获得了约92%的总体性别预测精度。作为一种高灵敏度的检测工具,PSI-MS与ML相结合,通过快速分析编码个人信息的血液分子,有可能彻底改变法医方法。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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