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Mathematical Modeling and Simulations for Developing Nanoparticle-Based Cancer Drug Delivery Systems: A Review 基于纳米颗粒的癌症药物传递系统的数学建模与仿真研究综述
Q1 Medicine Pub Date : 2021-01-06 DOI: 10.1007/s40139-020-00219-5
Nitin Sahai, M. Gogoi, N. Ahmad
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引用次数: 19
Chemokine-Based Therapeutics for the Treatment of Inflammatory and Fibrotic Convergent Pathways in COVID-19. 基于趋化因子的疗法治疗COVID-19的炎症和纤维化趋同途径。
Q1 Medicine Pub Date : 2021-01-01 Epub Date: 2021-12-08 DOI: 10.1007/s40139-021-00226-0
Dana R Julian, Megan A Kazakoff, Akhil Patel, Jesse Jaynes, Monte S Willis, Cecelia C Yates

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 betacoronavirus and has taken over 761,426 American lives as of the date of publication and will likely result in long-term, if not permanent, tissue damage for countless patients. COVID-19 presents with diverse and multisystemic pathologic processes, including a hyperinflammatory response, acute respiratory distress syndrome (ARDS), vascular injury, microangiopathy, tissue fibrosis, angiogenesis, and widespread thrombosis across multiple organs, including the lungs, heart, kidney, liver, and brain. C-X-C chemokines contribute to these pathologies by attracting inflammatory mediators, the disruption of endothelial cell integrity and function, and the initiation and propagation of the cytokine storm. Among these, CXCL10 is recognized as a critical contributor to the hyperinflammatory state and poor prognosis in COVID-19. CXCL10 is also known to regulate growth factor-induced fibrosis, and recent evidence suggests the CXCL10-CXCR3 signaling system may be vital in targeting convergent pro-inflammatory and pro-fibrotic pathways. This review will explore the mechanistic role of CXCL10 and related chemokines in fibrotic complications associated with COVID-19 and the potential of CXCL10-targeted therapeutics for early intervention and long-term treatment of COVID-19-induced fibrosis.

2019冠状病毒病(COVID-19)是一种由SARS-CoV-2乙型冠状病毒引起的传染病,截至发表之日,已经夺走了761,426名美国人的生命,并可能导致无数患者的长期(如果不是永久性)组织损伤。COVID-19表现为多种和多系统的病理过程,包括高炎症反应、急性呼吸窘迫综合征(ARDS)、血管损伤、微血管病变、组织纤维化、血管生成和多器官广泛血栓形成,包括肺、心、肾、肝和脑。C-X-C趋化因子通过吸引炎症介质,破坏内皮细胞完整性和功能,以及细胞因子风暴的启动和传播,促进这些病理。其中,CXCL10被认为是导致COVID-19高炎症状态和不良预后的关键因素。众所周知,CXCL10也调节生长因子诱导的纤维化,最近的证据表明,CXCL10- cxcr3信号系统可能在靶向趋同促炎和促纤维化途径中至关重要。本文将探讨CXCL10及相关趋化因子在COVID-19相关纤维化并发症中的机制作用,以及CXCL10靶向治疗在COVID-19诱导纤维化的早期干预和长期治疗中的潜力。
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引用次数: 9
The Pathobiological Basis for Thrombotic Complications in COVID-19: a Review of the Literature. COVID-19血栓性并发症的病理生物学基础:文献综述
Q1 Medicine Pub Date : 2021-01-01 DOI: 10.1007/s40139-021-00228-y
Lara Hoteit, Andrew-Paul Deeb, Elizabeth A Andraska, Christof Kaltenmeier, Hamza O Yazdani, Samer Tohme, Matthew D Neal, Roberto I Mota

Purpose of review: COVID-19 has rapidly evolved into a global pandemic infecting over two hundred and forty-four million individuals to date. In addition to the respiratory sequelae and systemic infection that ensues, an alarming number of micro and macrovascular thrombotic complications have been observed. This review examines the current understanding of COVID-19-associated thrombotic complications, potential mechanisms, and pathobiological basis for thromboses development.

Recent findings: The endothelium plays a major role in the process due to direct and indirect injury. The immune system also contributes to a pro-thrombotic environment with immune cell dysregulation leading to excessive formation of cytokines, also called cytokine storm, and an eventual promotion of a hypercoagulable environment, known as immunothrombosis. Additionally, neutrophils play an important role by forming neutrophil extracellular traps, which are shown to be pro-thrombotic and further enhanced in COVID-19 patients. A disruption of the fibrinolysis system has also been observed.

Summary: Multiple pathways likely contribute synergistically to form a pro-thrombotic milieu. A better understanding of these factors and the complex interplay between them will lead to the improvement of diagnostic and therapeutic interventions.

审查目的:COVID-19已迅速演变为全球大流行,迄今已感染超过2.44亿人。除了随之而来的呼吸系统后遗症和全身感染外,还观察到数量惊人的微血管和大血管血栓并发症。本文综述了目前对covid -19相关血栓性并发症、潜在机制和血栓形成的病理生物学基础的认识。最近研究发现:内皮细胞在直接和间接损伤的过程中起主要作用。免疫系统也有助于促进血栓形成环境,免疫细胞失调导致细胞因子过度形成,也称为细胞因子风暴,并最终促进高凝环境,称为免疫血栓形成。此外,中性粒细胞通过形成中性粒细胞胞外陷阱发挥重要作用,这被证明是促血栓形成的,并在COVID-19患者中进一步增强。纤维蛋白溶解系统的破坏也被观察到。总结:多种途径可能协同作用形成促血栓形成的环境。更好地了解这些因素以及它们之间复杂的相互作用将有助于改进诊断和治疗干预措施。
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引用次数: 6
Toxicology of Nanoparticles in Drug Delivery. 纳米颗粒在药物传递中的毒理学研究。
Q1 Medicine Pub Date : 2021-01-01 Epub Date: 2021-11-24 DOI: 10.1007/s40139-021-00227-z
Swati Sharma, Roza Parveen, Biswa Prasun Chatterji

Nanoparticles have revolutionized biomedicine especially in the field of drug delivery due to their intriguing properties such as systemic stability, level of solubility, and target site specificity. It can, however, be both beneficial and damaging depending on the properties in different environments, thus highlighting the importance of nanotoxicology studies before use in humans. Different types of nanoparticles have been used in drug delivery, and this review summarizes the recent toxicity studies of these nanoparticles. The toxicological evaluation of three widely used nanoparticles in drug delivery that are metal, lipid, and protein nanoparticles has been discussed in detail. Studies have recorded several toxic effects of various nanoparticles such as metal-based nanoparticles have been linked to increased oxidative stress and have the potential to infiltrate the cell nucleus and protein-based nanoparticles have been observed to have hepatotoxicity and nephrotoxicity as their adverse effects. Considering the increasing application of nanoparticles in drug delivery and the growing concerns of regulatory authorities regarding the toxicity of nanocarriers in living organisms, it requires urgent attention to identify the gap in toxicity studies. The review highlights the gap in toxicity studies and potential focus areas to overcome the existing challenges.

纳米粒子已经彻底改变了生物医学,特别是在药物输送领域,由于其有趣的性质,如系统稳定性,溶解度水平和靶点特异性。然而,它可能是有益的,也可能是有害的,这取决于它在不同环境中的特性,因此强调了在用于人类之前进行纳米毒理学研究的重要性。不同类型的纳米颗粒已被用于给药,本文综述了近年来这些纳米颗粒的毒性研究。本文详细讨论了三种广泛应用于药物传递的纳米颗粒金属、脂质和蛋白质的毒理学评价。研究记录了各种纳米颗粒的几种毒性作用,如金属基纳米颗粒与氧化应激增加有关,并有可能渗透细胞核,蛋白质基纳米颗粒已被观察到具有肝毒性和肾毒性作为其不利影响。考虑到纳米颗粒在药物传递中的应用越来越多,以及监管部门对纳米载体在生物体中的毒性的日益关注,迫切需要关注毒性研究的空白。这篇综述强调了毒性研究的差距和克服现有挑战的潜在重点领域。
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引用次数: 39
Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics 用数字病理学和病理学表征肿瘤全幻灯片图像中的免疫反应
Q1 Medicine Pub Date : 2020-12-01 DOI: 10.1007/s40139-020-00217-7
Rajarsi Gupta, H. Le, John S. Van Arnam, David Belinsky, Mahmudul Hasan, D. Samaras, T. Kurç, J. Saltz
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引用次数: 3
Acceleration of PDE-Based Biological Simulation Through the Development of Neural Network Metamodels. 通过开发神经网络元模型加速基于PDE的生物模拟。
Q1 Medicine Pub Date : 2020-12-01 Epub Date: 2020-11-06 DOI: 10.1007/s40139-020-00216-8
Lukasz Burzawa, Linlin Li, Xu Wang, Adrian Buganza-Tepole, David M Umulis

Purpose of review: Partial differential equation (PDE) mathematical models of biological systems and the simulation approaches used to solve them are widely used to test hypotheses and infer regulatory interactions based on optimization of the PDE model against the observed data. In this review, we discuss the ability of powerful machine learning methods to accelerate the parametric screening of biophysical informed- PDE systems.

Recent findings: A major shortcoming in more broad adaptation of PDE-based models is the high computational complexity required to solve and optimize the models and it requires many simulations to traverse the very high-dimensional parameter spaces during model calibration and inference tasks. For instance, when scaling up to tens of millions of simulations for optimization and sensitivity analysis of the PDE models, compute times quickly extend from months to years for sufficient coverage to solve the problems. For many systems, this brute-force approach is simply not feasible. Recently, neural network metamodels have been shown to be an efficient way to accelerate PDE model calibration and here we look at the benefits and limitations in extending the PDE acceleration methods to improve optimization and sensitivity analysis.

Summary: We use an example simulation to quantitatively and qualitatively show how neural network metamodels can be accurate and fast and demonstrate their potential for optimization of complex spatiotemporal problems in biology. We expect these approaches will be broadly applied to speed up scientific research and discovery in biology and other systems that can be described by complex PDE systems.

综述目的:生物系统的偏微分方程(PDE)数学模型及其求解方法被广泛用于检验假设,并根据观测数据对PDE模型进行优化,推断调节相互作用。在这篇综述中,我们讨论了强大的机器学习方法加速生物物理知情-PDE系统参数筛选的能力。最近的发现:基于PDE的模型的更广泛适应的一个主要缺点是求解和优化模型所需的计算复杂度高,并且在模型校准和推理任务期间需要进行多次模拟来遍历非常高维的参数空间。例如,当为PDE模型的优化和灵敏度分析扩展到数千万次模拟时,计算时间从几个月迅速延长到几年,以获得足够的覆盖范围来解决问题。对于许多系统来说,这种强力方法根本不可行。最近,神经网络元模型已被证明是加速PDE模型校准的有效方法,在这里,我们来看看扩展PDE加速方法以改进优化和灵敏度分析的好处和局限性。摘要:我们使用一个示例模拟来定量和定性地展示神经网络元模型是如何准确快速的,并展示其在优化生物学中复杂时空问题方面的潜力。我们预计这些方法将被广泛应用于加快生物学和其他可以用复杂PDE系统描述的系统的科学研究和发现。
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引用次数: 4
Beyond Growth Factors: Macrophage-Centric Strategies for Angiogenesis 超越生长因子:巨噬细胞为中心的血管生成策略
Q1 Medicine Pub Date : 2020-11-10 DOI: 10.1007/s40139-020-00215-9
A. Nolfi, Marissa N. Behun, C. Yates, B. Brown, M. Kulkarni
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引用次数: 9
Alcohol-Induced Neuropathy in Chronic Alcoholism: Causes, Pathophysiology, Diagnosis, and Treatment Options 慢性酒精中毒的酒精性神经病变:病因、病理生理学、诊断和治疗选择
Q1 Medicine Pub Date : 2020-10-23 DOI: 10.1007/s40139-020-00214-w
Iga Dudek, D. Hajduga, Cezary Sieńko, Amr Maani, E. Sitarz, M. Sitarz, Alicja Forma
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引用次数: 4
Angiogenesis in Wound Healing following Pharmacological and Toxicological Exposures 药理学和毒理学暴露后伤口愈合中的血管生成
Q1 Medicine Pub Date : 2020-09-12 DOI: 10.1007/s40139-020-00212-y
R. Hunter, K. Kivlighan, S. Ruyak, Quiteria Jacquez, K. Zychowski
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引用次数: 2
Harnessing the Proteostasis Network in Alcohol-associated Liver Disease. 利用蛋白质稳定网络治疗酒精相关性肝病
Q1 Medicine Pub Date : 2020-09-01 Epub Date: 2020-07-17 DOI: 10.1007/s40139-020-00211-z
Asmita Choudhury, Pranoti Mandrekar

Purpose of review: Alcohol associated liver disease (ALD) accounts for significant mortality and morbidity in the United States. Prolonged alcohol exposure leads to increased reactive oxygen species and oxidative stress resulting in protein misfolding and/or aggregation. Cellular protein homeostasis network is an adaptive cellular response comprised of machineries that regulate biogenesis or degradation of proteins with chaperones as central coordinators to maintain proteome integrity during stress. Two extensively studied organelle-specific transcriptional proteostasis pathways are the heat shock response (HSR) in the cytosol and unfolded protein response (UPR) in endoplasmic reticulum (ER). Here we review the pathophysiological role of HSR and UPR and their potential as therapeutic targets in ALD.

Recent findings: The HSR and UPR are emerging as important pathways in ALD pathogenesis. We reported that acute and chronic alcohol activate the HSR to discretely induce downstream target chaperones, HSPA1A/HSP70 and HSP90, respectively. HSP90 serves as a pro-inflammatory mediator in ALD by stabilizing client kinases and adapters. On the other hand, HSF1 and HSPA1A prevents liver injury due to their anti-inflammatory properties. In vivo pharmacological targeting of HSP90 reduced pro-inflammatory cytokines and NLRP3 inflammasome mediated IL-1β and IL-18. The presence of HSP90 in circulating extracellular vesicles in ALD mouse models suggests its role in pathogenesis. Activation of UPR due to prolonged ER stress is associated with apoptosis, inflammation, and lipogenesis contributing to liver injury.

Summary: This review highlights the contribution of HSR and UPR, as well as druggable chaperones in pathogenesis of ALD. Binge/moderate or chronic alcohol exposure perturbs proteostasis mediators which fail to maintain proteome integrity and disease ensues. Understanding mechanisms that regulate proteostasis pathways, HSR and UPR, could identify novel disease modulators and guide development of therapeutic targets in ALD.

综述目的:酒精相关性肝病(ALD)在美国的死亡率和发病率都很高。长时间的酒精暴露导致活性氧增加和氧化应激,导致蛋白质错误折叠和/或聚集。细胞蛋白质稳态网络是一种适应性细胞反应,由调节蛋白质生物发生或降解的机制组成,以伴侣蛋白为中心协调者,在应激条件下维持蛋白质组的完整性。两种广泛研究的细胞器特异性转录蛋白停滞途径是细胞质溶胶中的热休克反应(HSR)和内质网(ER)中的未折叠蛋白反应(UPR)。本文综述了HSR和UPR的病理生理作用及其作为ALD治疗靶点的潜力。最近的研究发现:HSR和UPR是ALD发病的重要途径。我们报道了急性和慢性酒精激活HSR分别诱导下游靶伴侣HSPA1A/HSP70和HSP90。HSP90通过稳定客户激酶和适配器在ALD中充当促炎介质。另一方面,HSF1和HSPA1A由于其抗炎特性可以预防肝损伤。体内药物靶向HSP90可降低促炎细胞因子和NLRP3炎性体介导的IL-1β和IL-18。热休克蛋白90在ALD小鼠循环细胞外囊泡中的存在提示其在发病机制中的作用。内质网长期应激导致的UPR激活与导致肝损伤的细胞凋亡、炎症和脂肪生成有关。摘要:本文综述了HSR和UPR以及可药物伴侣蛋白在ALD发病机制中的作用。暴饮暴食/中度或慢性酒精暴露会扰乱蛋白质平衡介质,使其无法维持蛋白质组的完整性,从而导致疾病的发生。了解蛋白质平衡通路,HSR和UPR的调节机制,可以识别新的疾病调节剂并指导ALD治疗靶点的开发。
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引用次数: 0
期刊
Current Pathobiology Reports
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