Evans Department of Medicine and The Whitaker Cardiovascular Institute, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Department of Medicine, Section of Computational Biomedicine, and Clinical and Translational Science Institute, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Cardiovasc Pathol. 2023 Mar-Apr;63:107495. doi: 10.1016/j.carpath.2022.107495. Epub 2022 Nov 2.
We sought to develop a rigorous, systematic protocol for the dissection and preservation of human hearts for biobanking that expands previous success in postmortem transcriptomics to multiomics from paired tissue.
Existing cardiac biobanks consist largely of biopsy tissue or explanted hearts in select diseases and are insufficient for correlating whole organ phenotype with clinical data.
We demonstrate optimal conditions for multiomics interrogation (ribonucleic acid (RNA) sequencing, untargeted metabolomics) in hearts by evaluating the effect of technical variables (storage solution, temperature) and simulated postmortem interval (PMI) on RNA and metabolite stability. We used bovine (n=3) and human (n=2) hearts fixed in PAXgene or snap-frozen with liquid nitrogen.
Using a paired Wald test, only two of the genes assessed were differentially expressed between left ventricular samples from bovine hearts stored in PAXgene at 0 and 12 hours PMI (FDR q<0.05). We obtained similar findings in human left ventricular samples, suggesting stability of RNA transcripts at PMIs up to 12 hours. Different library preparation methods (mRNA poly-A capture vs. rRNA depletion) resulted in similar quality metrics with both library preparations achieving >95% of reads properly aligning to the reference genomes across all PMIs for bovine and human hearts. PMI had no effect on RNA Integrity Number or quantity of RNA recovered at the time points evaluated. Of the metabolites identified (855 total) using untargeted metabolomics of human left ventricular tissue, 503 metabolites remained stable across PMIs (0, 4, 8, 12 hours). Most metabolic pathways retained several stable metabolites.
Our data demonstrate a technically rigorous, reproducible protocol that will enhance cardiac biobanking practices and facilitate novel insights into human CVD.
Cardiovascular disease (CVD) is the leading cause of mortality worldwide. Current biobanking practices insufficiently capture both the diverse array of phenotypes present in CVDs and the spatial heterogeneity across cardiac tissue sites. We have developed a rigorous and systematic protocol for the dissection and preservation of human cardiac biospecimens to enhance the availability of whole organ tissue for multiple applications. When combined with longitudinal clinical phenotyping, our protocol will enable multiomics in hearts to deepen our understanding of CVDs.
我们旨在开发一种严格、系统的人类心脏解剖和保存方案,用于生物银行,该方案将先前在死后转录组学方面的成功扩展到配对组织的多组学。
现有的心脏生物库主要由活检组织或选定疾病中的移植心脏组成,不足以将整个器官表型与临床数据相关联。
我们通过评估技术变量(储存溶液、温度)和模拟死后间隔(PMI)对 RNA 和代谢物稳定性的影响,展示了多组学检测(核糖核酸(RNA)测序、非靶向代谢组学)的最佳条件。我们使用牛(n=3)和人(n=2)心脏,分别用 PAXgene 固定或用液氮冷冻。
使用配对 Wald 检验,仅在牛心脏左心室样本中评估的两个基因在储存于 PAXgene 中的样本在 0 小时和 12 小时 PMI 之间有差异表达(FDR q<0.05)。我们在人类左心室样本中得到了类似的发现,表明 RNA 转录本在 PMI 长达 12 小时内稳定。不同的文库制备方法(mRNA 多聚 A 捕获与 rRNA 耗竭)在牛和人心肌的所有 PMI 下,都产生了类似的质量指标,两种文库制备方法均实现了>95%的读取正确比对到参考基因组。在评估的时间点,PMI 对 RNA 完整性数量或回收的 RNA 数量没有影响。使用人类左心室组织的非靶向代谢组学鉴定的代谢物(共 855 种)中,有 503 种代谢物在 PMI(0、4、8、12 小时)之间保持稳定。大多数代谢途径保留了几种稳定的代谢物。
我们的数据证明了一种技术上严格、可重复的方案,这将增强心脏生物库的实践,并促进对人类 CVD 的新见解。
心血管疾病(CVD)是全球范围内死亡的主要原因。目前的生物库实践不足以同时捕捉 CVD 中存在的多种表型和心脏组织部位的空间异质性。我们已经开发了一种严格而系统的人类心脏生物样本解剖和保存方案,以增强整个器官组织在多种应用中的可用性。当与纵向临床表型相结合时,我们的方案将使心脏的多组学能够加深我们对 CVD 的理解。