Achter Jonathan S, Jensen Thomas H L, Pisano Paola, Bundgaard Johan S, Raaschou-Oddershede Daniel, Rossing Kasper, Wierer Michael, Lundby Alicia
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Department of Pathology, Diagnostic Center, Copenhagen University Hospital, Copenhagen, Denmark.
Nat Cardiovasc Res. 2025 Oct;4(10):1409-1423. doi: 10.1038/s44161-025-00721-2. Epub 2025 Sep 26.
Proteomic technologies have advanced our understanding of disease mechanisms, patient stratification and targeted therapies. However, applying cardiac proteomics in translational research requires overcoming the barrier of tissue accessibility. Formalin-fixed, paraffin-embedded (FFPE) heart tissue, widely preserved in pathology collections, remains a largely untapped resource. Here we demonstrate that proteomic profiles are well preserved in FFPE human heart specimens and compatible with high-resolution, quantitative analysis. Quantifying approximately 4,000 proteins per sample, we show this approach effectively distinguishes disease states and subanatomical regions, revealing distinct underlying protein signatures. Specifically, the human sinoatrial node exhibited enrichment of collagen VI and G protein-coupled receptor signaling. Myocardial biopsies from patients with arrhythmogenic cardiomyopathy were characterized by fibrosis and metabolic/cytoskeletal derangements, clearly separating them from donor heart biopsies. This study establishes FFPE heart tissue as a robust resource for cardiac proteomics, enabling retrospective molecular profiling at scale and unlocking archived specimens for disease discovery and precision cardiology.
蛋白质组学技术推动了我们对疾病机制、患者分层和靶向治疗的理解。然而,将心脏蛋白质组学应用于转化研究需要克服组织获取的障碍。广泛保存在病理样本库中的福尔马林固定、石蜡包埋(FFPE)心脏组织,在很大程度上仍是未开发的资源。在此,我们证明蛋白质组学图谱在FFPE人类心脏标本中保存良好,并且与高分辨率定量分析兼容。通过对每个样本约4000种蛋白质进行定量分析,我们表明这种方法能有效区分疾病状态和亚解剖区域,揭示不同的潜在蛋白质特征。具体而言,人类窦房结显示出富含VI型胶原蛋白和G蛋白偶联受体信号。致心律失常性心肌病患者的心肌活检具有纤维化以及代谢/细胞骨架紊乱的特征,这使其与供体心脏活检明显区分开来。本研究将FFPE心脏组织确立为心脏蛋白质组学的强大资源,能够大规模进行回顾性分子分析,并为疾病发现和精准心脏病学解锁存档标本。