Data_Sheet_2_Deciphering the Protein, Modular Connections and Precision Medicine for Heart Failure With Preserved Ejection Fraction and Hypertension Based on TMT Quantitative Proteomics and Molecular Docking.ZIP

Background: Exploring the potential biological relationships between heart failure with preserved ejection fraction (HFpEF) and concomitant diseases has been the focus of many studies for the establishment of personalized therapies. Hypertension (HTN) is the most common concomitant disease in HFpEF patients, but the functional connections between HFpEF and HTN are still not fully understood and effective treatment strategies are still lacking.Methods: In this study, tandem mass tag (TMT) quantitative proteomics was used to identify disease-related proteins and construct disease-related networks. Furthermore, functional enrichment analysis of overlapping network modules was used to determine the functional similarities between HFpEF and HTN. Molecular docking and module analyses were combined to identify therapeutic targets for HFpEF and HTN.Results: Seven common differentially expressed proteins (co-DEPs) and eight overlapping modules were identified in HFpEF and HTN. The common biological processes between HFpEF and HTN were mainly related to energy metabolism. Myocardial contraction, energy metabolism, apoptosis, oxidative stress, immune response, and cardiac hypertrophy were all closely associated with HFpEF and HTN. Epinephrine, sulfadimethoxine, chloroform, and prednisolone acetate were best matched with the co-DEPs by molecular docking analyses.Conclusion: Myocardial contraction, energy metabolism, apoptosis, oxidative stress, immune response, and cardiac hypertrophy were the main functional connections between HFpEF and HTN. Epinephrine, sulfadimethoxine, chloroform, and prednisolone acetate could potentially be effective for the treatment of HTN and HFpEF.

背景：探究保留射血分数心力衰竭（HFpEF）与伴发疾病之间的潜在生物学关联，已成为众多研究的热点，旨在建立个体化治疗方案。高血压（HTN）是HFpEF患者中最常见的伴发疾病，然而，HFpEF与HTN之间的功能联系尚未完全明了，有效的治疗策略仍显不足。方法：本研究采用串联质谱定量蛋白质组学技术，以识别疾病相关蛋白并构建疾病相关网络。此外，通过对重叠网络模块的功能富集分析，确定HFpEF与HTN之间的功能相似性。结合分子对接和模块分析，以识别HFpEF和HTN的治疗靶点。结果：在HFpEF和HTN中，共鉴定出七个共表达差异蛋白（co-DEPs）和八个重叠模块。HFpEF与HTN之间的共同生物学过程主要与能量代谢相关。心肌收缩、能量代谢、细胞凋亡、氧化应激、免疫反应和心脏肥厚均与HFpEF和HTN密切相关。通过分子对接分析，肾上腺素、磺胺二甲基嘧啶、氯仿和醋酸泼尼松龙与co-DEPs的匹配度最高。结论：心肌收缩、能量代谢、细胞凋亡、氧化应激、免疫反应和心脏肥厚是HFpEF与HTN之间的主要功能联系。肾上腺素、磺胺二甲基嘧啶、氯仿和醋酸泼尼松龙可能对HTN和HFpEF的治疗具有潜在效果。