神经递质组织水平的神经化学评估近似神经递质系统连接。

IF 3.9 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
ACS Chemical Neuroscience Pub Date : 2025-04-02 Epub Date: 2025-03-11 DOI:10.1021/acschemneuro.5c00060
Jasmine Jade Butler, Chloé Aman, Marion Rivalan, Aurélie Fitoussi, Sandrine Parrot, Françoise Dellu-Hagedorn, Philippe De Deurwaerdère
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引用次数: 0

摘要

组织神经递质的死后测量是一种有趣的技术,以解决总体生化活动。它的主要限制是缺乏时间分辨率,尽管与体内方法相比,这可以通过增强空间分辨率来缓解。这种神经化学数据是定量的,不需要复杂的转换,使其成为通过脑区之间生化信号的相关性来分析神经化学连通性的理想选择。这些相关的定量测量方法基本上是基于数据的可变性,这是神经化学分析中一个不发达的领域。其中一个主要原因,正如本观点所讨论的,是神经化学家认识到定量数据的可变性不仅源于生物的可变性,如个体间的差异,还源于分析设备等因素。通过精心设计、精确的方案,有几种方法可以减少由分析和实验偏差引起的变异性,从而研究有意义的生物变异性,例如受试者之间的个体差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neurochemical Assessment of Tissue Levels of Neurotransmitters for Approximating Neurotransmitter System Connectivity.

The post-mortem measurement of tissue neurotransmitters is an interesting technique to address the gross biochemical activity. Its primary limitation is a lack of temporal resolution, although this is mitigated by enhanced spatial resolution, compared to in vivo methods. This neurochemical data is quantitative and requires no complex transformation, making it ideal to analyze neurochemical connectivity via the correlation of the biochemical signals between brain regions. These correlative approaches to quantitative measurements are fundamentally based on the variability of the data, an underdeveloped area of analysis in neurochemistry. One of the main reasons, as discussed in this Viewpoint, is that neurochemists recognize that variability in quantitative data stems not only from the biological variability, such as interindividual differences, but also from factors such as analytical devices. There are several ways to reduce variability caused by analytical and experimental biases through well-designed, precise protocols, allowing for the study of meaningful biological variability, such as interindividual differences between subjects.

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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍: ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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