Sharma Gaurav, Duarte Sergio, Shen Qingyang, Khemtong Chalermchai
Department of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center Dallas Texas USA.
Advanced Imaging Research Center, University of Texas Southwestern Medical Center Dallas Texas USA.
RSC Adv. 2024 Nov 27;14(51):37871-37885. doi: 10.1039/d4ra03605k. eCollection 2024 Nov 25.
Metabolic diseases such as obesity, type 2 diabetes, and cardiovascular diseases have become a global health concern due to their widespread prevalence and profound impact on life expectancy, healthcare expenditures, and the overall economy. Devising effective treatment strategies and management plans for these diseases requires an in-depth understanding of the pathophysiology of the metabolic abnormalities associated with each disease. Mitochondrial dysfunction is intricately linked to a wide range of metabolic abnormalities and is considered an important biomarker for diseases. However, assessing mitochondrial functions in viable tissues remains a challenging task, with measurements of oxygen consumption rate (OCR) and ATP production being the most widely accepted approaches for evaluating the health of mitochondria in tissues. Measurements of cellular metabolism using carbon-13 (or C) tracers have emerged as a viable method for characterizing mitochondrial metabolism in a variety of organelles ranging from cultured cells to humans. Information on metabolic activities and mitochondrial functions can be obtained from magnetic resonance (MR) analyses of C-labeled metabolites in tissues and organs of interest. Combining novel C tracer technologies with advanced analytical and imaging tools in nuclear magnetic resonance spectroscopy (NMR) and magnetic resonance imaging (MRI) offers the potential to detect metabolic abnormalities associated with mitochondrial dysfunction. These capabilities would enable accurate diagnosis of various metabolic diseases and facilitate the assessment of responses to therapeutic interventions, hence improving patient health and optimizing clinical outcomes.
肥胖、2型糖尿病和心血管疾病等代谢性疾病因其广泛流行以及对预期寿命、医疗保健支出和整体经济的深远影响,已成为全球健康问题。为这些疾病制定有效的治疗策略和管理计划,需要深入了解与每种疾病相关的代谢异常的病理生理学。线粒体功能障碍与广泛的代谢异常密切相关,被认为是疾病的重要生物标志物。然而,在活组织中评估线粒体功能仍然是一项具有挑战性的任务,测量氧消耗率(OCR)和ATP生成是评估组织中线粒体健康最广泛接受的方法。使用碳-13(或C)示踪剂测量细胞代谢已成为一种可行的方法,可用于表征从培养细胞到人类等各种细胞器中的线粒体代谢。有关代谢活动和线粒体功能的信息可从对感兴趣的组织和器官中C标记代谢物的磁共振(MR)分析中获得。将新型C示踪技术与核磁共振波谱(NMR)和磁共振成像(MRI)中的先进分析和成像工具相结合,有可能检测与线粒体功能障碍相关的代谢异常。这些能力将能够准确诊断各种代谢性疾病,并有助于评估对治疗干预的反应,从而改善患者健康并优化临床结果。