Anyaegbunam Uchenna Alex, More Piyush, Fontaine Jean-Fred, Cate Vincent Ten, Bauer Katrin, Distler Ute, Araldi Elisa, Bindila Laura, Wild Philipp, Andrade-Navarro Miguel A
Computational Biology and Data Mining Group (CBDM), Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg University, 55122 Mainz, Germany.
Department of Pharmacology, University Medical Center Mainz, 55131 Mainz, Germany.
Curr Issues Mol Biol. 2023 Dec 9;45(12):9904-9916. doi: 10.3390/cimb45120618.
Lipids are important modifiers of protein function, particularly as parts of lipoproteins, which transport lipophilic substances and mediate cellular uptake of circulating lipids. As such, lipids are of particular interest as blood biological markers for cardiovascular disease (CVD) as well as for conditions linked to CVD such as atherosclerosis, diabetes mellitus, obesity and dietary states. Notably, lipid research is particularly well developed in the context of CVD because of the relevance and multiple causes and risk factors of CVD. The advent of methods for high-throughput screening of biological molecules has recently resulted in the generation of lipidomic profiles that allow monitoring of lipid compositions in biological samples in an untargeted manner. These and other earlier advances in biomedical research have shaped the knowledge we have about lipids in CVD. To evaluate the knowledge acquired on the multiple biological functions of lipids in CVD and the trends in their research, we collected a dataset of references from the PubMed database of biomedical literature focused on plasma lipids and CVD in human and mouse. Using annotations from these records, we were able to categorize significant associations between lipids and particular types of research approaches, distinguish non-biological lipids used as markers, identify differential research between human and mouse models, and detect the increasingly mechanistic nature of the results in this field. Using known associations between lipids and proteins that metabolize or transport them, we constructed a comprehensive lipid-protein network, which we used to highlight proteins strongly connected to lipids found in the CVD-lipid literature. Our approach points to a series of proteins for which lipid-focused research would bring insights into CVD, including Prostaglandin G/H synthase 2 (PTGS2, a.k.a. COX2) and Acylglycerol kinase (AGK). In this review, we summarize our findings, putting them in a historical perspective of the evolution of lipid research in CVD.
脂质是蛋白质功能的重要调节因子,尤其是作为脂蛋白的组成部分,脂蛋白负责运输亲脂性物质并介导循环脂质的细胞摄取。因此,脂质作为心血管疾病(CVD)以及与CVD相关的病症(如动脉粥样硬化、糖尿病、肥胖症和饮食状态)的血液生物标志物备受关注。值得注意的是,由于CVD的相关性、多种病因和风险因素,脂质研究在CVD领域发展得尤为成熟。生物分子高通量筛选方法的出现,最近产生了脂质组图谱,能够以非靶向方式监测生物样品中的脂质组成。生物医学研究中的这些以及其他早期进展,塑造了我们对CVD中脂质的认识。为了评估在CVD中脂质多种生物学功能方面所获得的知识及其研究趋势,我们从专注于人类和小鼠血浆脂质与CVD的生物医学文献PubMed数据库中收集了参考文献数据集。利用这些记录中的注释,我们能够对脂质与特定类型研究方法之间的显著关联进行分类,区分用作标志物的非生物脂质,识别人类和小鼠模型之间的差异研究,并检测该领域研究结果日益增加的机制性质。利用脂质与代谢或运输它们的蛋白质之间的已知关联,我们构建了一个全面的脂质 - 蛋白质网络,用于突出与CVD - 脂质文献中发现的脂质紧密相连的蛋白质。我们的方法指出了一系列蛋白质,针对这些蛋白质进行以脂质为重点的研究将为CVD带来深入见解,包括前列腺素G/H合酶2(PTGS2,又名COX2)和酰基甘油激酶(AGK)。在本综述中,我们总结了我们的发现,并将其置于CVD脂质研究演变的历史背景中。