Islam Mohammad Aminul, Ford Versypt Ashlee N
Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA; Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA; Institute for Artificial Intelligence and Data Science, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA; Witebsky Center for Microbial Pathogenesis and Immunology, University at Buffalo, The State University of New York, Buffalo, NY, 14203, USA; Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, 14215, USA.
Comput Biol Med. 2025 Mar;186:109631. doi: 10.1016/j.compbiomed.2024.109631. Epub 2025 Jan 2.
Patient-specific premorbidity, age, and sex are significant heterogeneous factors that influence the severe manifestation of lung diseases, including COVID-19 fibrosis. The renin-angiotensin system (RAS) plays a prominent role in regulating the effects of these factors. Recent evidence shows patient-specific alterations of RAS peptide homeostasis concentrations with premorbidity and the expression level of angiotensin-converting enzyme 2 (ACE2) during COVID-19. However, conflicting evidence suggests decreases, increases, or no changes in RAS peptides after SARS-CoV-2 infection. A multiscale computational model was developed to quantify the systemic contribution of heterogeneous factors of RAS during COVID-19. Three submodels were connected-an agent-based model for in-host COVID-19 response in the lung tissue, a RAS dynamics model, and a fibrosis dynamics model to investigate the effects of patient-group-specific factors in the systemic alteration of RAS and collagen deposition in the lung. The model results indicated cell death due to inflammatory response as a major contributor to the reduction of ACE and ACE2. The model explained possible mechanisms for conflicting evidence of patient-group-specific changes in RAS peptides in previously published studies. RAS peptides decreased for all virtual patient groups with aging in both sexes. In contrast, large variations in the magnitude of reduction were observed between male and female virtual patients in the older and middle-aged groups. The patient-specific variations in homeostasis RAS peptide concentrations of SARS-CoV-2-negative patients affected the dynamics of RAS during infection. This model may find further applications in patient-specific calibrations of tissue models for acute and chronic lung diseases to develop personalized treatments.
患者特异性的病前状况、年龄和性别是影响肺部疾病严重表现的重要异质性因素,包括新冠病毒纤维化。肾素-血管紧张素系统(RAS)在调节这些因素的作用方面发挥着重要作用。最近的证据表明,在新冠病毒感染期间,病前状况会导致RAS肽稳态浓度的患者特异性改变,以及血管紧张素转换酶2(ACE2)的表达水平变化。然而,相互矛盾的证据表明,在感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)后,RAS肽会减少、增加或没有变化。我们开发了一个多尺度计算模型,以量化新冠病毒感染期间RAS异质性因素的全身作用。该模型连接了三个子模型——一个基于主体的模型,用于模拟肺部组织中宿主对新冠病毒的反应;一个RAS动力学模型;以及一个纤维化动力学模型,以研究患者组特异性因素对肺部RAS系统改变和胶原蛋白沉积的影响。模型结果表明,炎症反应导致的细胞死亡是ACE和ACE2减少的主要原因。该模型解释了先前发表的研究中关于患者组特异性RAS肽变化的相互矛盾证据的可能机制。在所有虚拟患者组中,RAS肽均随年龄增长而减少,且男女皆然。相比之下,在老年和中年组的男性和女性虚拟患者中,观察到减少幅度存在很大差异。新冠病毒阴性患者体内RAS肽稳态浓度的患者特异性变化影响了感染期间RAS的动态变化。该模型可能会在急性和慢性肺部疾病组织模型的患者特异性校准中得到进一步应用,以开发个性化治疗方案。