Song Binghui, Fu Jiewen, Cheng Jingliang, Chiampanichayakul Sawitree, Anuchapreeda Songyot, Fu Junjiang
Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand.
Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Sci Rep. 2025 Jul 1;15(1):21577. doi: 10.1038/s41598-025-07998-0.
Circular RNAs (circRNAs) are conserved, abundant, stable, and specifically expressed in mammals. The postmortem interval (PMI) estimation is crucial in forensic medicine, particularly for case investigation and civil action. CircRNAs may serve as ideal PMI biomarkers. However, no research has explored PMI estimation in the brain using circRNAs. The total RNA, including circRNA, was sampled from mouse brain tissues at multiple temperatures (4℃, 25℃, and 35℃). The semi-quantitative reverse transcription (RT)-PCR and real-time quantitative PCR (RT-qPCR) were used to test the postmortem degradation levels at different PMIs. As a result, we found circFat3 is highly and specifically expressed in mouse brain tissue, with postmortem levels significantly correlated with PMI across multiple temperatures. In addition, mt-co1 and 28 S rRNA demonstrated stability under various temperature conditions, supporting their use as reliable reference genes for PMI models. Moreover, the error rates showed that the circFat3/28S rRNA model was more accurate at 4℃. The circFat3/mt-co1 and circFat3/28S rRNA models provided slightly better predictions for short-term and long-term PMI, respectively at 25℃, while the circFat3/mt-co1 model was more accurate at 35℃. The combined application of the two reference genes was beneficial primarily for long-term PMI estimation. Furthermore, the validation results confirmed that these models were more accurate for long-term PMI estimation. Thus, our mathematical models were constructed at multiple temperatures based on circFat3 and these two reference genes. Taken together, this is the first study to identify circRNA circFat3 as a novel biomarker that may serve as a complementary tool for PMI estimation.
环状RNA(circRNAs)在哺乳动物中具有保守性、丰度高、稳定性好且表达具有特异性。死后间隔时间(PMI)的估计在法医学中至关重要,尤其是在案件调查和民事诉讼方面。环状RNA可能是理想的PMI生物标志物。然而,尚无研究探索利用环状RNA进行脑内PMI的估计。从处于多个温度(4℃、25℃和35℃)的小鼠脑组织中提取包括环状RNA在内的总RNA。采用半定量逆转录(RT)-PCR和实时定量PCR(RT-qPCR)检测不同PMI下的死后降解水平。结果发现,circFat3在小鼠脑组织中高表达且具有特异性,其死后水平在多个温度下均与PMI显著相关。此外,线粒体细胞色素c氧化酶亚基1(mt-co1)和28S核糖体RNA在各种温度条件下均表现出稳定性,支持它们作为PMI模型的可靠参考基因。而且,错误率表明circFat3/28S rRNA模型在4℃时更准确。circFat3/mt-co1和circFat3/28S rRNA模型分别在25℃时对短期和长期PMI提供了稍好的预测,而circFat3/mt-co1模型在35℃时更准确。两个参考基因的联合应用主要有利于长期PMI估计。此外,验证结果证实这些模型在长期PMI估计方面更准确。因此,我们基于circFat3和这两个参考基因在多个温度下构建了数学模型。综上所述,这是首次鉴定出环状RNA circFat3作为一种新型生物标志物,可作为PMI估计的补充工具的研究。