Miller Dalia M, Archer Stephen L, Dunham-Snary Kimberly J
Department of Medicine, Queen's University, Kingston, ON, Canada.
Queen's CardioPulmonary Unit, Queen's University, Kingston, ON, Canada.
Front Aging. 2025 Jun 23;6:1585508. doi: 10.3389/fragi.2025.1585508. eCollection 2025.
Mitochondrial-driven diseases encompass a diverse group of single-gene and complex disorders, all linked to mitochondrial dysfunction, with significant impacts on human health. While there are rare mitochondrial diseases in which the primary defect resides in mutations in mitochondrial DNA, it is increasingly clear that acquired mitochondrial dysfunction, both genetically- and epigenetically-mediated, complicates common complex diseases, including diabetes, cardiovascular disease and ischemia reperfusion injury, cancer, pulmonary hypertension, and neurodegenerative diseases. It is also recognized that mitochondrial abnormalities not only act by altering metabolism but, through effects on mitochondrial dynamics, can regulate numerous cellular processes including intracellular calcium handling, cell proliferation, apoptosis and quality control. This review examines the crucial role of preclinical models in advancing our understanding of mitochondrial genetic contributions to these conditions. It follows the evolution of models of mitochondrial-driven diseases, from earlier and systems to the use of more innovative approaches, such as CRISPR-based gene editing and mitochondrial replacement therapies. By assessing both the strengths and limitations of these models, we highlight their contributions to uncovering disease mechanisms, identifying therapeutic targets, and facilitating novel discoveries. Challenges in translating preclinical findings into clinical applications are also addressed, along with strategies to enhance the accuracy and relevance of these models. This review outlines the current state of the field, the future trajectory of mitochondrial disease modeling, and its potential impact on patient care.
线粒体驱动的疾病涵盖了多种单基因和复杂疾病,所有这些疾病都与线粒体功能障碍有关,对人类健康有重大影响。虽然存在一些罕见的线粒体疾病,其主要缺陷在于线粒体DNA的突变,但越来越明显的是,遗传和表观遗传介导的后天性线粒体功能障碍使包括糖尿病、心血管疾病和缺血再灌注损伤、癌症、肺动脉高压和神经退行性疾病在内的常见复杂疾病复杂化。人们还认识到,线粒体异常不仅通过改变代谢起作用,而且通过对线粒体动力学的影响,可以调节包括细胞内钙处理、细胞增殖、凋亡和质量控制在内的许多细胞过程。本综述探讨了临床前模型在增进我们对线粒体遗传因素对这些疾病的影响的理解方面的关键作用。它追踪了线粒体驱动疾病模型的演变,从早期的 和 系统到使用更具创新性的方法,如基于CRISPR的基因编辑和线粒体替代疗法。通过评估这些模型的优势和局限性,我们强调了它们在揭示疾病机制、确定治疗靶点和促进新发现方面的贡献。还讨论了将临床前研究结果转化为临床应用的挑战,以及提高这些模型的准确性和相关性的策略。本综述概述了该领域的现状、线粒体疾病建模的未来发展轨迹及其对患者护理的潜在影响。