Hunan University of Chinese Medicine, Yuelu District, Changsha City, 410208, Hunan Province, China.
The Second People's Hospital of Hunan Province, Furong District, Changsha City, 410007, Hunan Province, China.
Sci Rep. 2024 Aug 23;14(1):19586. doi: 10.1038/s41598-024-70678-y.
To study the degradation of lncRNAs in EPMI in rat brain tissue, this study provides a new direction for the estimation of EPMI. LncRNA high-throughput sequencing was performed on the brain tissues of hemorrhagic shock model rats at 0 h and 24 h, and the target lncRNAs were screened. Samples at 0, 1, 3, 6, 12, 18 and 24 h after death were collected, and miRNA-9 and miRNA-125b were used as reference genes. The relative expression levels of lncRNAs at each PMI were detected by RT-qPCR, and a functional model involving lncRNAs and EPMI was established. Samples were collected at 6, 9, 15, and 21 h after death for functional model verification. The expression of several lncRNAs decreased with the prolongation of EPMI, and the mathematical model established by several lncRNA indices exhibited good fit. The verification results of the multi-index joint function model are significantly better than those of the single-index function model, and the established model is more practical. There is a linear relationship between lncRNAs and EPMI, and the multi-index function model is significantly better than the single-index function model, which is important for EPMI inference in forensic pathology practice.
为了研究大鼠脑组织中 EPMI 的 lncRNA 降解情况，本研究为 EPMI 的评估提供了新的方向。对出血性休克模型大鼠脑组织在 0 h 和 24 h 进行了 lncRNA 高通量测序，并筛选出靶 lncRNA。收集死亡后 0、1、3、6、12、18 和 24 h 的样本，以 miRNA-9 和 miRNA-125b 为参照基因。通过 RT-qPCR 检测各 PMI 时 lncRNA 的相对表达水平，并建立涉及 lncRNA 和 EPMI 的功能模型。在死亡后 6、9、15 和 21 h 收集样本进行功能模型验证。结果显示，随着 EPMI 的延长，几种 lncRNA 的表达水平降低，由几个 lncRNA 指数建立的数学模型拟合良好。多指标联合功能模型的验证结果明显优于单指标功能模型，所建立的模型更具实用性。lncRNAs 与 EPMI 之间存在线性关系，多指标功能模型明显优于单指标功能模型，这对于法医病理学实践中的 EPMI 推断具有重要意义。
