Early postmortem interval estimation based on Cdc25b mRNA in rat cardiac tissue
Early postmortem interval estimation based on Cdc25b mRNA in rat cardiac tissue
复制标题
基于大鼠心脏组织中 Cdc25b mRNA 的早期死亡间隔估计
DOI：
10.1016/j.legalmed.2018.09.004
复制
发表时间：
2018-11-01
期刊：
影响因子：
1.5
通讯作者：
Chen, Long
中科院分区：
文献类型：
--
作者：
Tao, Li;Ma, Jianlong;Chen, Long
目的：死亡时间间隔（PMI）是指从死亡开始到死亡结束的时间。多年来，开发了许多方法来评估PMI，但其适用时间范围仅为几天至几周。本研究的目的是寻找一种敏感的mRNA标记物，以判断死后早期（24 h以内）心肌组织中mRNA的降解情况。然后，使用实时荧光定量PCR（qPCR）在24 h内的7个时间点和25 ℃和35 ℃的温度下验证候选标记。结果：在所有候选标记物中，细胞分裂周期25同源物B（Cdc25 B）Δ Cq与死亡时间的相关系数最高，并利用R软件建立模型。验证性检验的结果表明，误差率小于15%，表明我们的数学模型具有较高的预测能力。结论：在这项研究中，Cdc25b被发现是敏感的标记，以估计早期死后间隔，和Rp127被发现适合用作内源性对照。我们的工作提供了新的线索的分子方法，早期死后间隔估计使用显着的mRNA标记在这里建立。
Purpose: The postmortem interval (PMI) is the amount of time that has elapsed since the time of death. Over the years, many approaches have been developed to assess PMI, but their time frame of applicability has been only days to weeks. Our present pilot study aimed to find the sensitive mRNA marker if the degradation of mRNA could be used to estimate the early postmortem interval (up to 24 h).Methods: In our study, we use the microarray to screen 217 mRNAs markers of rat cardiac tissue. Then, real-time fluorescent quantitative PCR (qPCR) was used to validate of the candidate markers at 7 time points within 24 h and at temperatures of 25 degrees C and 35 degrees C. Another 27 rats were then used to verify the model.Results: Among all of the candidate markers, Delta Cq (cell division cycle 25 homolog B(Cdc25b)) had the best correlation coefficient with early postmortem interval and was used to build a new model using the R software. The results of verification testing demonstrated that the error rate was less than 15%, demonstrating the high predictive power of our mathematical model.Conclusion: In this study, Cdc25b was found to be the sensitive marker to estimate early postmortem interval, and Rpl27 was found to be suitable for use as the endogenous control. Our work provided new leads for molecular approaches to early postmortem interval estimation using the significant mRNA markers established here.