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组织拉伸是快速衰老的鳉鱼神经退行性变评估中的一个混杂因素。

Tissue stretching is a confounding factor for the evaluation of neurodegeneration in the fast-ageing killifish.

作者信息

Bergmans Steven, Serneels Pieter-Jan, Masin Luca, Moons Lieve

机构信息

Department of Biology, Animal Physiology and Neurobiology Division, Neural Circuit Development & Regeneration Research Group, KU Leuven, Leuven Brain Institute, 3000, Leuven, Belgium.

出版信息

Biogerontology. 2023 Jun;24(3):403-419. doi: 10.1007/s10522-023-10026-1. Epub 2023 Mar 13.

Abstract

The fast-ageing killifish has gained increasing attention as a promising gerontology model to study age-related processes and neurodegeneration. Interestingly, it is the first vertebrate model organism that shows physiological neuron loss at old age in its central nervous system (CNS), including its brain and retina. However, the fact that the killifish brain and retina are ever-growing tissues complicates studying neurodegenerative events in aged fish. Indeed, recent studies showed that the method of tissue sampling, either using sections or whole-organs, has a large effect on the observed cell densities in the fast-expanding CNS. Here, we elaborated on how these two sampling methods affect neuronal counts in the senescent retina and how this tissue grows upon ageing. Analysis of the different retinal layers in cryosections revealed age-dependent reduction in cellular density but evaluation of whole-mount retinas did not detect any neuron loss, as a result of an extremely fast retinal expansion with age. Using BrdU pulse-chase experiments, we showed that the young adult killifish retina mainly grows by cell addition. However, with increasing age, the neurogenic potency of the retina declines while the tissue keeps on growing. Further histological analyses revealed tissue stretching, including cell size increase, as the main driver of retinal growth at old age. Indeed, both cell size and inter-neuronal distance augment with ageing, thereby decreasing neuronal density. All in all, our findings urge the 'ageing science' community to consider cell quantification bias and employ tissue-wide counting methods to reliably quantify neuronal numbers in this unique gerontology model.

摘要

快速衰老的鳉鱼作为一种有前途的老年学模型,用于研究与年龄相关的过程和神经退行性变,越来越受到关注。有趣的是,它是第一个在中枢神经系统(CNS),包括大脑和视网膜中,在老年时出现生理性神经元丢失的脊椎动物模型生物。然而,鳉鱼的大脑和视网膜是不断生长的组织,这一事实使得研究老年鱼的神经退行性事件变得复杂。事实上,最近的研究表明,无论是使用切片还是全器官的组织采样方法,对快速扩张的中枢神经系统中观察到的细胞密度都有很大影响。在这里,我们详细阐述了这两种采样方法如何影响衰老视网膜中的神经元计数,以及这种组织在衰老过程中是如何生长的。对冰冻切片中不同视网膜层的分析揭示了细胞密度的年龄依赖性降低,但对整个视网膜的评估未检测到任何神经元丢失,这是由于视网膜随着年龄增长而极快扩张的结果。使用BrdU脉冲追踪实验,我们表明年轻成年鳉鱼的视网膜主要通过细胞增殖生长。然而,随着年龄的增加,视网膜的神经发生潜能下降,而组织仍在生长。进一步的组织学分析表明,组织拉伸,包括细胞大小增加,是老年视网膜生长的主要驱动因素。事实上,细胞大小和神经元间距离都随着衰老而增加,从而降低了神经元密度。总而言之,我们的研究结果敦促“衰老科学”界考虑细胞定量偏差,并采用全组织计数方法来可靠地量化这个独特老年学模型中的神经元数量。

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