Determination of the early time of death by computerized image analysis of DNA degradation: Which is the best quantitative indicator of DNA degradation?

Lijiang Liu , Xiji Shu , Liang Ren , Hongyan Zhou , Yan Li , Wei Liu , Cheng Zhu , Liang Liu

Current Medical Science ›› 2007, Vol. 27 ›› Issue (4) : 362 -366.

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Current Medical Science ›› 2007, Vol. 27 ›› Issue (4) : 362 -366. DOI: 10.1007/s11596-007-0404-7
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Determination of the early time of death by computerized image analysis of DNA degradation: Which is the best quantitative indicator of DNA degradation?

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Abstract

This study evaluated the correlation between DNA degradation of the splenic lymphocytes and the early time of death, examined the early time of death by computerized image analysis technique (CIAT) and identified the best parameter that quantitatively reflects the DNA degradation. The spleen tissues from 34 SD rats were collected, subjected to cell smearing every 2 h within the first 36 h after death, stained by Feulgen-Van’s staining, three indices reflecting DNA content in splenic lymphocytes, including integral optical density (IOD), average optical density (AOD), average gray scale (AG) were measured by the image analysis. Our results showed that IOD and AOD decreased and AG increased over time within the first 36 h. A stepwise linear regression analysis showed that only AG was fitted. A correlation between the postmortem interval (PMI) and AG was identified and the corresponding regression equation was obtained. Our study suggests that CIAT is a useful and promising tool for the estimation of early PMI with good objectivity and reproducibility, and AG is a more effective and better quantitative indicator for the estimation of PMI within the first 36 h after death in rats.

Keywords

forensic pathology / postmortem interval / DNA degradation / image analysis

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Lijiang Liu, Xiji Shu, Liang Ren, Hongyan Zhou, Yan Li, Wei Liu, Cheng Zhu, Liang Liu. Determination of the early time of death by computerized image analysis of DNA degradation: Which is the best quantitative indicator of DNA degradation?. Current Medical Science, 2007, 27(4): 362-366 DOI:10.1007/s11596-007-0404-7

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