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Correlative Analysis on the Relationship between PMI and DNA Degradation of Cell Nucleus in Human Different Tissues
引用本文:舒细记 刘亚玲 任亮 何方刚 周红艳 刘丽江 刘良. Correlative Analysis on the Relationship between PMI and DNA Degradation of Cell Nucleus in Human Different Tissues[J]. 华中科技大学学报(医学英德文版), 2005, 25(4): 423-426. DOI: 10.1007/BF02828213
作者姓名:舒细记 刘亚玲 任亮 何方刚 周红艳 刘丽江 刘良
作者单位:[1]Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science andTechnology, Wuhan 430030, China [2]Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan ,130022, China [3]Department of Pathology, School of Medicine and Life Sciences, J ianghan University, Wuhan 430056, China
基金项目:The project was supported by a grant of Wuhan Municipal Chengguang Program for Youth (No. 20015005049).
摘    要:
Summary: To determining the postmortem interval (PMI) through quantitative analysis of the DNA degradation of cell nucleus in human brain and spleen by using image analysis technique (IAT). The brain and spleen tissues from 32 cadavers with known PMI were collected, subjected to cell smear every 1 h within the first 5-36 h after death, stained by Feulgen-Van's staining, Three indices reflecting DNA in brain cells (astrocytes) and splenic lymphocytes, including integral optical density (IOD), average optical density (AOD), average gray (AG) were measured by employing the mage analysis instrument. The results showed that IOD and AOD declined and AG increased with the prolongation of dead time within 5 36 h. A correlation between the PMI and gray parameters (IOD,AOD and AG) was identified and the corresponding regression equation was obtained. The parameters (IOD, AOD and AG) were proved to be effective quantitative indicators for accurate estimation of PMI within 5-36 h after death.

关 键 词:死亡时间 DNA退化 细胞核 人体组织 图象分析技术 脑组织 脾脏组织 尸体
收稿时间:2005-01-13

Correlative analysis on the relationship between PMI and DNA degradation of cell nucleus in human different tissues
Shu Xiji,Liu Yaling,Ren Liang,He Fanggang,Zhou Hongyan,Liu Lijiang,Liu Liang. Correlative analysis on the relationship between PMI and DNA degradation of cell nucleus in human different tissues[J]. Journal of Huazhong University of Science and Technology. Medical sciences, 2005, 25(4): 423-426. DOI: 10.1007/BF02828213
Authors:Shu Xiji  Liu Yaling  Ren Liang  He Fanggang  Zhou Hongyan  Liu Lijiang  Liu Liang
Affiliation:1. Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China;Department of Pathology, School of Medicine and Life Sciences, Jianghan University, Wuhan 430056, China
2. Department of Pediatrics, Union Hospital, Tongji Medical College,Huazhong University of Science andTechnology, Wuhan 430022, China
3. Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
4. Department of Pathology, School of Medicine and Life Sciences, Jianghan University, Wuhan 430056, China
Abstract:
To determining the postmortem interval (PMI) through quantitative analysis of the DNA degradation of cell nucleus in human brain and spleen by using image analysis technique (IAT). The brain and spleen tissues from 32 cadavers with known PMI were collected, subjected to cell smear every 1 h within the first 5-36 h after death, stained by Feulgen-Van's staining, Three indices reflecting DNA in brain cells (astrocytes) and splenic lymphocytes, including integral optical density (IOD), average optical density (AOD), average gray (AG) were measured by employing the mage analysis instrument. The results showed that IOD and AOD declined and AG increased with the prolongation of dead time within 5-36 h. A correlation between the PMI and gray parameters (IOD,AOD and AG) was identified and the corresponding regression equation was obtained. The parameters (IOD,AOD and AG) were proved to be effective quantitative indicators for accurate estimation of PMI within 5-36 h after death.
Keywords:forensic pathology   postmortem interval   DNA   image analysis
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