Zhao Minglei, Tanourlouee Saman Behboudi, McCracken Sean, Williams Philip R
Washington University School of Medicine, John F. Hardesty, MD Department of Ophthalmology and Visual Sciences, St. Louis, Missouri, United States.
Washington University School of Medicine, Department of Neuroscience, St. Louis, Missouri, United States.
Neurophotonics. 2025 Jun;12(Suppl 2):S22805. doi: 10.1117/1.NPh.12.S2.S22805. Epub 2025 Sep 4.
Nervous system tissue is the most metabolically active in the body and neurons are the primary consumers of oxygen and metabolites in nervous tissue. Many processes support neuronal metabolism, and dysregulation of these processes or intrinsic neuronal metabolism is often tied to neurodegenerative diseases. While many techniques are available to query metabolic function and disease (e.g. Seahorse XF, histology, immunostaining), almost all of these approaches are destructive and few offer cellular resolution. However, genetically encoded biosensors can optically measure metabolic features in any tissue with optical access. Biosensors represent an approach to non-destructively monitor metabolic components and regulatory signaling repeatedly over time in intact tissues. In this review, we discuss the application of genetically encoded biosensors that measure metabolites and metabolic processes as applied to studies of neurodegeneration.
神经系统组织是体内代谢最活跃的组织,神经元是神经组织中氧气和代谢物的主要消耗者。许多过程支持神经元代谢,这些过程或内在神经元代谢的失调通常与神经退行性疾病有关。虽然有许多技术可用于研究代谢功能和疾病(例如海马XF、组织学、免疫染色),但几乎所有这些方法都是破坏性的,很少能提供细胞分辨率。然而,基因编码生物传感器可以通过光学手段在任何可进行光学检测的组织中测量代谢特征。生物传感器代表了一种在完整组织中随时间反复无损监测代谢成分和调节信号的方法。在这篇综述中,我们讨论了用于测量代谢物和代谢过程的基因编码生物传感器在神经退行性疾病研究中的应用。