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通过定量实时聚合酶链反应进行游离DNA和微小RNA分析以确定死后间隔时间

Cell free DNA and MiRNA analysis by quantitative Real-Time polymerase chain reaction in postmortem interval determination.

作者信息

Yavuz-Kilicaslan Duygu, Emiral Emrah, Satiroglu-Tufan N Lale

机构信息

Gendarmerie and Coast Guard Academy, Department of Security Sciences, İncek Şehit Savcı Mehmet Selim Kiraz Bulvarı, Çankaya, Ankara, 06805, Turkey.

Ankara University School of Medicine, Department of Forensic Medicine, Dikimevi, Ankara, 06590, Turkey.

出版信息

Int J Legal Med. 2025 Sep 16. doi: 10.1007/s00414-025-03590-3.

Abstract

The time elapsed after death is known as the postmortem interval (PMI). After death, the body undergoes changes such as algor mortis, rigor mortis, livor mortis, and putrefaction. In forensic medicine, PMI is traditionally determined using standard methods and forensic entomology, both of which can be affected by environmental conditions. Recently, genetic materials, which are less influenced by the environment, have gained attention in PMI studies. Cell-free DNA (cfDNA) comprises short DNA fragments released into the bloodstream due to cell necrosis and apoptosis. This study quantitatively analyzed cfDNA and specific microRNAs (miRNAs) - miR-122, miR-133, miR-1, miR-16, and let-7e - in serum samples from rats at various time intervals to assess their correlation with PMI. The results were analyzed using Ct, ΔCt, ΔΔCt, and fold change methods. Statistically, miR-16 and miR-122 had lower ΔCt values at all time points. miR-16 showed a lower ΔΔCt average at 24 and 48 h and the highest fold change at 24 h. Reference genes GAPDH and ACTB declined over time, with higher averages at 0, 6, and 12 h compared to 24 and 48 h. This research is the first to quantitatively explore cfDNA's potential role in PMI estimation.

摘要

死后经过的时间称为死后间隔时间(PMI)。死后,身体会经历诸如尸冷、尸僵、尸斑和腐败等变化。在法医学中,传统上使用标准方法和法医昆虫学来确定PMI,而这两种方法都会受到环境条件的影响。最近,受环境影响较小的遗传物质在PMI研究中受到了关注。游离DNA(cfDNA)由因细胞坏死和凋亡而释放到血液中的短DNA片段组成。本研究对不同时间间隔的大鼠血清样本中的cfDNA和特定微小RNA(miRNA)——miR-122、miR-133、miR-1、miR-16和let-7e进行了定量分析,以评估它们与PMI的相关性。使用Ct、ΔCt、ΔΔCt和倍数变化方法对结果进行了分析。统计学上,miR-16和miR-122在所有时间点的ΔCt值都较低。miR-16在24小时和48小时时的ΔΔCt平均值较低,在24小时时的倍数变化最高。参考基因GAPDH和ACTB随时间下降,与24小时和48小时相比,在0小时、6小时和12小时时的平均值更高。本研究首次定量探索了cfDNA在PMI估计中的潜在作用。

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