Department of Preclinical Research, BioChron LLC, Worcester, Massachusetts 01605.
Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts 02118.
J Neurosci. 2019 Apr 10;39(15):2810-2822. doi: 10.1523/JNEUROSCI.2730-18.2019. Epub 2019 Feb 8.
Neurogenesis in the adult brain, a powerful mechanism for neuronal plasticity and brain repair, is altered by aging and pathological conditions, including metabolic disorders. The search for mechanisms and therapeutic solutions to alter neurogenesis requires understanding of cell kinetics within neurogenic niches using a high-throughput quantitative approach. The challenge is in the dynamic nature of the process and multiple cell types involved, each having several potential modes of division or cell fate. Here we show that cell kinetics can be revealed through a combination of the BrdU/EdU pulse-chase, based on the circadian pattern of DNA replication, and a differential equations model that describes time-dependent cell densities. The model is validated through the analysis of cell kinetics in the cerebellar neurogenic niche of normal young adult male zebrafish, with cells quantified in 2D (sections), and with neuronal fate and reactivation of stem cells confirmed in 3D whole-brain images (CLARITY). We then reveal complex alterations in cell kinetics associated with accelerated aging due to chronic high caloric intake. Low activity of neuronal stem cells in this condition persists 2 months after reverting to normal diet, and is accompanied by overproduction of transient amplifying cells, their accelerated cell death, and slow migration of postmitotic progeny. This combined experimental and mathematical approach should allow for relatively high-throughput analysis of early signs of pathological and age-related changes in neurogenesis, evaluation of specific therapeutic targets, and drug efficacy. Understanding normal cell kinetics of adult neurogenesis and the type of cells affected by a pathological process is needed to develop effective prophylactic and therapeutic measures directed at specific cell targets. Complex time-dependent mechanisms involved in the kinetics of multiple cell types require a combination of experimental and mathematical modeling approaches. This study demonstrates such a combined approach by comparing normal neurogenesis with that altered by diet-induced accelerated aging in adult zebrafish.
成年大脑中的神经发生是神经元可塑性和大脑修复的强大机制,它会随着年龄的增长和包括代谢紊乱在内的病理状况而改变。寻找改变神经发生的机制和治疗方法需要使用高通量定量方法来理解神经发生龛中的细胞动力学。挑战在于该过程的动态性质和涉及的多种细胞类型,每种类型都具有几种潜在的分裂或细胞命运模式。在这里,我们通过将 BrdU/EdU 脉冲追踪与基于 DNA 复制的昼夜节律模式相结合,并使用描述时间依赖性细胞密度的微分方程模型,来揭示细胞动力学。该模型通过分析正常年轻成年雄性斑马鱼小脑神经发生龛中的细胞动力学得到验证,通过 2D(切片)定量细胞,并通过 3D 全脑图像(CLARITY)确认神经元命运和干细胞的再激活。然后,我们揭示了与慢性高卡路里摄入导致的加速衰老相关的细胞动力学的复杂变化。在这种情况下,神经元干细胞的活性降低在恢复正常饮食后持续 2 个月,并且伴随着短暂扩增细胞的过度产生、其加速细胞死亡以及有丝分裂后祖细胞的缓慢迁移。这种结合实验和数学的方法应该允许对神经发生的病理和年龄相关变化的早期迹象进行相对高通量的分析,评估特定的治疗靶点和药物疗效。了解成年神经发生的正常细胞动力学以及病理过程影响的细胞类型,对于开发针对特定细胞靶点的有效预防和治疗措施是必要的。涉及多种细胞类型的动力学的复杂时变机制需要实验和数学建模方法的结合。本研究通过比较正常神经发生与饮食诱导的成年斑马鱼加速衰老改变的神经发生,展示了这种联合方法。