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Model for the prediction of mechanical asphyxia as the cause of death based on four biological indexes in human cardiac tissue
Authors:Liujun Han  Wencan Li  Yikai Hu  Heng Zhang  Jianlong Ma  Kaijun Ma  Bi Xiao  Geng Fei  Yan Zeng  Lu Tian  Long Chen
Affiliation:1. Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China;2. Institute of Criminal Scientific Technology, Shanghai Public Security Bureau Pudong Branch, Shanghai 200125, China;3. Department of Pathology, Anhui Medical University, Hefei 230032, China;4. Criminal Investigation Department of Shenzhen Public Security Bureau, Shenzhen Institute of Criminal Science and Technology, Shenzhen 518000, China;5. Forensic Lab, Criminal Science and Technology Institute, Shanghai Public Security Bureau, Shanghai 200082, China;6. Shanghai Police College, Shanghai 200137, China;7. Children’s Hospital of Fudan University, Shanghai 201102, China
Abstract:Determination of mechanical asphyxia as the cause of death has always been difficult for forensic pathologists, particularly when signs of asphyxia are not obvious on the body. Currently, depending on only physical examination of corpses, pathologists must be cautious when making cause-of-death appraisals. In a previous study, four biomarkers—dual-specificity phosphatase 1 (DUSP1), potassium voltage-gated channel subfamily J member 2 (KCNJ2), miR-122, and miR-3185—were screened in human cardiac tissue from cadavers that died from mechanical asphyxia compared with those that died from craniocerebral injury, hemorrhagic shock, or other causes. Expression of the markers correlated with death from mechanical asphyxia regardless of age, environmental temperature, and postmortem interval. However, a single biological index is not an accurate basis for the identification of the cause of death. In this study, receiver operating characteristic curves of the ΔCq values of the four indexes were generated. The diagnostic accuracy of the indexes was judged according to their area under the curve (DUSP1: 0.773, KCNJ2: 0.775, miR-122: 0.667, and miR-3185: 0.801). Finally, a nomogram was generated, and single blind experiment was conducted to verify the cause of death of mechanical asphyxia.
Keywords:Mechanical asphyxia  Prediction model  Cardiac tissue  ROC curves  Nomogram
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