Статья

MALDI-TOF MS as a Novel Tool for the Estimation of Postmortem Interval in Liver Tissue Samples

Chengzhi LiSchool of Forensic Science and Medicine, Xi'an Jiaotong University, Xi'an, 710061, ChinaZhengdong LiShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, ChinaYa TuoDepartment of Biochemistry and Physiology, Shanghai University of Medicine and Health Sciences, Shanghai, ChinaDong MaShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, ChinaYan ShiShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, ChinaQinghua ZhangShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, ChinaXianyi ZhuoShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, ChinaKaifei DengShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, ChinaYijiu ChenShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, ChinaZhenyuan WangSchool of Forensic Science and Medicine, Xi'an Jiaotong University, Xi'an, 710061, China. [email protected]Ping HuangShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, China. [email protected]

2017en

ABI

Аннотация

Estimation of the postmortem interval (PMI) is a complicated task in forensic medicine, especially during homicide and unwitnessed death investigations. Many biological, chemical, and physical indicators can be used to determine the postmortem interval, but most are not accurate. Here, we present a novel matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) method that can be used for the estimation of PMI using molecular images and multivariate analyses. In this study, we demonstrate that both rat and human liver tissues of various PMIs (0, 2, 4, and 6days) can be discriminated using MALDI imaging and principal component analysis (PCA). Using genetic algorithm (GA), supervised neural network (SNN), and quick classifier (QC) methods, we built 6 classification models, which showed high recognition capability and good cross-validation. The histological changes in all the samples at different time points were also consistent with the changes seen in MALDI imaging. Our work suggests that MALDI-TOF MS, along with multivariate analysis, can be used to determine intermediate PMIs.

Перевод пока недоступен

Идентификаторы

DOI: 10.1038/s41598-017-05216-0

Цитирования и источники

Цитирований: 2Использованных источников: 0

Показатели — AkademScholar