法医学杂志 ›› 2019, Vol. 35 ›› Issue (2): 166-170.DOI: 10.12116/j.issn.1004-5619.2019.02.007

所属专题: 损伤时间推断

• 专题 • 上一篇    下一篇

应用中性粒细胞迁移距离推断损伤时间

刘起清1, 郭红民2, 王磊1, 鲁翰霖1, 杜秋香1, 百茹峰3, 孙俊红1, 王英元1   

  1. 1. 山西医科大学法医学院,山西 太原 030001; 2. 太原市公安局迎泽分局,山西 太原 030002; 3. 中国政法大学刑事司法学院,北京 100040
  • 发布日期:2019-04-25 出版日期:2019-04-28
  • 通讯作者: 通信作者:孙俊红,男,博士,教授,主要从事损伤病理学和猝死病理学研究;E-mail:junhong.sun@sxmu.edu.cn 通信作者:王英元,男,教授,主要从事损伤病理学和猝死病理学研究;E-mail:wyy580218@163.com
  • 作者简介:刘起清(1989—),男,硕士研究生,主要从事损伤病理学研究;E-mail:1060121847@qq.com
  • 基金资助:
    国家自然科学基金面上基金资助项目(81571852,81373241);国家自然科学基金青年科学基金资助项目(81601646)

Wound Age Estimation by Neutrophil Migration Distance#br#

LIU Qi-qing1, GUO Hong-min2, WANG Lei1, LU Han-lin1, DU Qiu-xiang1, BAI Ru-feng3,4, SUN Jun-hong1, WANG Ying-yuan1   

  1. 1. School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China; 2. Yingze Branch of Taiyuan Public Security Bureau, Taiyuan 030002, China; 3. School of Criminal Justice, China University of Political Science, Beijing 100040, China
  • Online:2019-04-25 Published:2019-04-28

摘要: 目的 探索中性粒细胞迁移距离在大鼠骨骼肌损伤时间推断中的应用,为后续损伤时间推断研究提供方法学依据。 方法 建立大鼠骨骼肌挫伤模型,设置对照组和损伤后2、4、6 h组,采用免疫组织化学染色技术检测损伤后中性粒细胞参与炎症的反应规律,运用TissueFAXS PLUS软件检测中性粒细胞的迁移距离,并探讨其与损伤时间的关系。 结果 骨骼肌损伤后2~6 h中性粒细胞浸润明显,伤后2 h中性粒细胞阳性率为(28.75±0.94)%,伤后4 h达到峰值[(45.50±3.63)%],伤后6 h下降为(31.92±1.56)%。中性粒细胞迁移距离随炎症进展逐渐增大,伤后2、4、6 h分别为(124.80±12.32) μm、(229.03±21.45) μm、(335.04±16.75) μm。 结论 骨骼肌损伤后2~6 h,中性粒细胞的数量及迁移距离与损伤时间之间存在相关性,有望用于骨骼肌早期损伤时间推断。

关键词: 法医病理学, 创伤和损伤, 细胞迁移分析, 中性粒细胞, 骨骼肌, 损伤时间推断, 大鼠

Abstract: Objective To explore the application of neutrophil migration distance for wound age estimation of skeletal muscles in rats, and to provide methodological basis for follow-up study in future. Methods The skeletal muscle contusion model was established in rats, and the control group and the 2, 4, 6 h post-traumatic groups were set. The law of response of neutrophils that participated in the inflammation after injury was detected by immunohistochemical staining, and the relationship between neutrophil migration distance and injury time was detected by TissueFAXS PLUS software. Results The skeletal muscle was obviously infiltrated with neutrophils 2-6 h after injury. The positive rate of neutrophil was (28.75±0.94)% at 2 h post-traumatic, and reached the peak (45.50±3.63)% at 4 h post-traumatic, then decreased to (31.92±1.56)% at 6 h post-traumatic. The neutrophil migration distances increased with the progress of inflammation, and reached (124.80±12.32) μm, (229.03±21.45) μm and (335.04±16.75) μm at 2 h, 4 h and 6 h, respectively. Conclusion There is a relationship of neutrophil infiltrated number and migration distance and wound age within the 2-6 h after skeletal muscle injury, which could be used for the inference of skeletal muscle wound age.

Key words: forensic pathology, wounds and injuries, cell migration assays, neutrophil, skeletal muscle, wound age estimation, rats