背角神经亚电路异感症的兴奋-抑制平衡失调机制

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2025-01-14 eCollection Date: 2025-01-01 DOI:10.1371/journal.pcbi.1012234
Alexander G Ginsberg, Scott F Lempka, Bo Duan, Victoria Booth, Jennifer Crodelle
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引用次数: 0

摘要

慢性疼痛是一种普遍存在的疾病,使人虚弱,治疗费用昂贵,仅在2010年,美国就花费了大约6000亿美元。慢性疼痛的一种常见症状是异常性疼痛,非疼痛刺激产生的疼痛反应在个体之间具有高度不同的表现。虽然具体机制尚不清楚,但假设异常性痛是由脊髓背角疼痛处理神经回路中的兴奋-抑制(E-I)平衡失调引起的。在这项工作中,我们分析了生物物理驱动的亚回路结构,这些亚回路结构代表了背角I-II层神经回路中的共同基序。这些回路被假设为神经通路的一部分,介导两种不同类型的异常性疼痛:静态和动态。我们使用神经放电率模型来描述每个亚回路中兴奋性和抑制性中间神经元群的活动。通过考虑在健康条件下实验观察到的响应,我们指定了在正常条件下产生典型行为的子电路种群的模型参数。然后,我们实施了一种敏感性分析方法,以确定最有可能导致亚回路E-I信号失调的机制。我们发现E-I平衡的破坏通常是由于抑制信号的下调,从而使兴奋性神经元从抑制控制中“释放”,或者由于兴奋性神经元反应的上调,从而使兴奋性神经元“逃脱”其抑制控制。哪一种机制最有可能发生,参与该机制的子电路组件,以及显示该机制的子电路的比例可以根据子电路结构而变化。这些结果提出了可能最可能导致异位性疼痛的多种机制的具体假设,从而为异位性疼痛中观察到的高度个体间变异性提供了预测,并为进一步实验研究这种慢性疼痛症状的潜在机制确定了目标。
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Mechanisms for dysregulation of excitatory-inhibitory balance underlying allodynia in dorsal horn neural subcircuits.

Chronic pain is a wide-spread condition that is debilitating and expensive to manage, costing the United States alone around $600 billion in 2010. In a common symptom of chronic pain called allodynia, non-painful stimuli produce painful responses with highly variable presentations across individuals. While the specific mechanisms remain unclear, allodynia is hypothesized to be caused by the dysregulation of excitatory-inhibitory (E-I) balance in pain-processing neural circuitry in the dorsal horn of the spinal cord. In this work, we analyze biophysically-motivated subcircuit structures that represent common motifs in neural circuits in laminae I-II of the dorsal horn. These circuits are hypothesized to be part of the neural pathways that mediate two different types of allodynia: static and dynamic. We use neural firing rate models to describe the activity of populations of excitatory and inhibitory interneurons within each subcircuit. By accounting for experimentally-observed responses under healthy conditions, we specify model parameters defining populations of subcircuits that yield typical behavior under normal conditions. Then, we implement a sensitivity analysis approach to identify the mechanisms most likely to cause allodynia-producing dysregulation of the subcircuit's E-I signaling. We find that disruption of E-I balance generally occurs either due to downregulation of inhibitory signaling so that excitatory neurons are "released" from inhibitory control, or due to upregulation of excitatory neuron responses so that excitatory neurons "escape" their inhibitory control. Which of these mechanisms is most likely to occur, the subcircuit components involved in the mechanism, and the proportion of subcircuits exhibiting the mechanism can vary depending on the subcircuit structure. These results suggest specific hypotheses about diverse mechanisms that may be most likely responsible for allodynia, thus offering predictions for the high interindividual variability observed in allodynia and identifying targets for further experimental studies on the underlying mechanisms of this chronic pain symptom.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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