Martínez-Rivera Vanessa, Cárdenas-Monroy Christian A, Millan-Catalan Oliver, González-Corona Jessica, Huerta-Pacheco N Sofia, Martínez-Gutiérrez Antonio, Villavicencio-Queijeiro Alexa, Pedraza-Lara Carlos, Hidalgo-Miranda Alfredo, Bravo-Gómez María Elena, Pérez-Plasencia Carlos, Guardado-Estrada Mariano
Laboratorio de Genética, Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México.
Unidad de Investigación Biomédica en Cáncer, Laboratorio de Genómica, Instituo Nacional de Cancerologia, Ciudad de México, México.
PeerJ. 2021 Apr 27;9:e11102. doi: 10.7717/peerj.11102. eCollection 2021.
The post-mortem interval (PMI) is the time elapsed since the dead of an individual until the body is found, which is relevant for forensic purposes. The miRNAs regulate the expression of some genes; and due to their small size, they can better support degradation, which makes them suitable for forensic analysis. In the present work, we evaluated the gene expression of miR-381-3p, miR-23b-3p, and miR-144-3p in skeletal muscle in a murine model at the early PMI.
We designed a rat model to evaluate the early PMI under controlled conditions. This model consisted in 25 rats divided into five groups of rats, that correspond to the 0, 3, 6, 12 and 24 hours of PMI. The 0 h-PMI was considered as the control group. Muscle samples were taken from each rat to analyze the expression of miR-381-3p, miR-23b-3p, and miR-144-3p by quantitative RT-PCR. The gene expression of each miRNA was expressed as (FC) and compared among groups. To find the targets of these miRNAs and the pathways where they participate, we performed an in-silico analysis. From the gene targets of miR-381-3p identified in the silico analysis, the gene was selected for gene expression analysis by quantitative RT-PCR in these samples. Also, to evaluate if miR-381-3p could predict the early PMI, a mixed effects model was calculated using its gene expression.
An upregulation of miR-381-3p was found at 24 h-PMI compared with the control group of 0 h-PMI and (FC = 1.02 vs. FC = 1.96; = 0.0079). This was the opposite for miR-23b-3p, which had a down-regulation at 24 h-PMI compared to 0 h-PMI (FC = 1.22 vs. FC = 0.13; = 0.0079). Moreover, the gene expression of miR-381-3p increased throughout the first 24 h of PMI, contrary to miR-23b-3p. The targets of these two miRNAs, participate in biological pathways related to hypoxia, apoptosis, and RNA metabolism. The gene expression of was found downregulated at 3 and 12 h of PMI, whereas it remained unchanged at 6 h and 24 h of PMI. Using a multivariate analysis, it was possible to predict the FC of miR-381-3p of all but 6 h-PMI analyzed PMIs.
The present results suggest that miR-23b-3p and miR-381-3p participate at the early PMI, probably regulating the expression of some genes related to the autolysis process as gene. Although the miR-381-3p gene expression is a potential estimator of PMI, further studies will be required to obtain better estimates.
死后间隔时间(PMI)是指个体死亡至尸体被发现所经过的时间,这在法医学上具有重要意义。微小RNA(miRNA)可调控某些基因的表达;因其体积小,能更好地抵抗降解,使其适用于法医学分析。在本研究中,我们评估了在早期PMI的小鼠模型中,骨骼肌中miR-381-3p、miR-23b-3p和miR-144-3p的基因表达。
我们设计了一个大鼠模型,在可控条件下评估早期PMI。该模型由25只大鼠组成,分为五组,分别对应PMI的0、3、6、12和24小时。将0小时PMI组视为对照组。从每只大鼠身上采集肌肉样本,通过定量逆转录聚合酶链反应(RT-PCR)分析miR-381-3p、miR-23b-3p和miR-144-3p的表达。每个miRNA的基因表达以倍数变化(FC)表示,并在各组间进行比较。为了找到这些miRNA的靶标及其参与的途径,我们进行了计算机模拟分析。从计算机模拟分析中鉴定出的miR-381-3p的基因靶标中,选择该基因进行这些样本的定量RT-PCR基因表达分析。此外,为了评估miR-381-3p是否能预测早期PMI,使用其基因表达计算了一个混合效应模型。
与0小时PMI的对照组相比,在24小时PMI时发现miR-381-3p上调(FC = 1.02对FC = 1.96;P = 0.0079)。miR-23b-3p则相反,与0小时PMI相比,在24小时PMI时下调(FC = 1.22对FC = 0.13;P = 0.0079)。此外,与miR-23b-3p相反,miR-381-3p的基因表达在PMI的前24小时内增加。这两种miRNA的靶标参与了与缺氧、凋亡和RNA代谢相关的生物学途径。在PMI的3小时和12小时发现该基因表达下调,而在PMI的6小时和24小时保持不变。使用多变量分析,除了分析的6小时PMI外,有可能预测所有PMI的miR-381-3p的FC。
目前的结果表明,miR-23b-3p和miR-381-3p在早期PMI中发挥作用,可能调控与自溶过程相关的某些基因的表达,如该基因。尽管miR-381-3p的基因表达是PMI的一个潜在估计指标,但需要进一步研究以获得更好的估计值。