Tan Joanne Jennifer E, Bilog Marvin M, Profit Adam A, Heralde Francisco M, Desamero Ruel Z B
Department of Biochemistry and Molecular Biology, College of Medicine, University of the Philippines Manila, Ermita, Manila 1000, Philippines.
Department of Chemistry, York College of the City University of New York, Jamaica, New York 11451, USA.
Biochim Biophys Acta Gen Subj. 2025 Feb;1869(2):130742. doi: 10.1016/j.bbagen.2024.130742. Epub 2024 Dec 15.
Atherosclerosis, the major underlying cause of cardiovascular disease, is believed to arise from the accumulation of low-density lipoprotein (LDL) in the arterial subendothelial space, ultimately leading to plaque formation. It is proposed that the accumulation of LDL is linked to its intrinsic aggregation propensity. Although the native LDL is not prone to aggregation, LDL(-), an electronegative LDL characterized in the plasma, has been shown to prime LDL aggregation in a domino-like behavior similar to amyloidogenic proteins. LDL(-) has also been observed to have a misfolded apolipoprotein B-100 (apo B-100), a huge protein consisting of 4563 amino acid residues. As misfolding of proteins is commonly associated with amyloid formation, apo B-100 is therefore being considered as the possible triggering factor in LDL aggregation. Previous computational studies have implicated the α2 domain to be the aggregation-prone region of apo B-100. In this study, the amyloidogenic properties of the α2 domain of apo B-100 were interrogated using both in silico and in vitro techniques. Since the crystal structure of the 570-amino acid α2 domain of apo B-100 is yet to be solved, we used several secondary structure prediction tools to model putative helical regions that make up the α2 domain. The stability of each of the 17 helices thus identified was further probed using molecular dynamics (MD), with the least stable of the helices considered as potentially amyloidogenic. In a 100 ns simulation window, helices k (YFEKLVGFIDDAVK), m (YHQFVDETNDKIREVTQRLNGEIQA), and p (QQELQRYLSLVGQVYS) were the least stable and appeared to transition to β-structures, the hallmark of amyloidogenesis. When the simulation was extended to longer times, only helices k and p formed stable β-sheets that persisted. Analysis of the data indicates that the final β-sheet conformation was stabilized by the π-π stacking interactions between the aromatic rings of Tyr-1 and Phe-8 for helix k and likely π-π stacking contacts between Arg-6 guanidino group and Tyr-15 ring for helix p. Based on the in silico work, we proceeded to synthesize and spectroscopically characterize helices k, m (QRLNGEIQA), and p. As expected, k and p formed detectable amyloids, with the latter appearing to be substantially more amyloidogenic based on kinetic aggregation assays. Amyloid fibrils formed by p were confirmed using circular dichroism spectroscopy and transmission electron microscopy. Data obtained could be exploited to further investigate the roles of peptides derived from the α2 domain helices of apo B-100 in triggering LDL aggregation. Based on preliminary data, one of the peptides designed based on this work reduced the aggregation of LDL.
动脉粥样硬化是心血管疾病的主要潜在病因,被认为是由于低密度脂蛋白(LDL)在动脉内皮下间隙的积累而产生的,最终导致斑块形成。有人提出,LDL的积累与其内在的聚集倾向有关。虽然天然LDL不易聚集,但血浆中具有特征的带负电的LDL(LDL(-))已被证明能以类似于淀粉样蛋白生成蛋白的多米诺骨牌样行为引发LDL聚集。还观察到LDL(-)具有错误折叠的载脂蛋白B-100(apo B-100),这是一种由4563个氨基酸残基组成的巨大蛋白质。由于蛋白质的错误折叠通常与淀粉样蛋白形成有关,因此apo B-100被认为是LDL聚集的可能触发因素。先前的计算研究表明α2结构域是apo B-100的易于聚集的区域。在本研究中,使用计算机模拟和体外技术对apo B-100的α2结构域的淀粉样蛋白生成特性进行了研究。由于apo B-100的570个氨基酸的α2结构域的晶体结构尚未解析,我们使用了几种二级结构预测工具来模拟构成α2结构域的假定螺旋区域。使用分子动力学(MD)进一步探究了由此鉴定出的17个螺旋中每个螺旋的稳定性,其中最不稳定的螺旋被认为具有潜在的淀粉样蛋白生成能力。在100纳秒的模拟窗口中,螺旋k(YFEKLVGFIDDAVK)、m(YHQFVDETNDKIREVTQRLNGEIQA)和p(QQELQRYLSLVGQVYS)最不稳定,并且似乎转变为β结构,这是淀粉样蛋白生成的标志。当模拟扩展到更长时间时,只有螺旋k和p形成了持续存在的稳定β折叠。数据分析表明,最终的β折叠构象通过螺旋k的Tyr-1和Phe-8芳香环之间的π-π堆积相互作用以及螺旋p的Arg-6胍基和Tyr-15环之间可能的π-π堆积接触而稳定。基于计算机模拟工作,我们接着合成了螺旋k、m(QRLNGEIQA)和p,并对其进行了光谱表征。正如预期的那样,k和p形成了可检测到的淀粉样蛋白,根据动力学聚集分析,后者似乎具有更强的淀粉样蛋白生成能力。通过圆二色光谱和透射电子显微镜确认了由p形成的淀粉样纤维。获得的数据可用于进一步研究源自apo B-100的α2结构域螺旋的肽在触发LDL聚集中的作用。根据初步数据,基于这项工作设计的一种肽减少了LDL的聚集。