Identification of excitability profiles following acquired brain injury: A biomarker of neuronal health
Identification of excitability profiles following acquired brain injury: A biomarker of neuronal health
批准号:
MR/R00112X/1
负责人:
Sharon Jewell
金额:
$34.61万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
继发性脑损伤是影响中风或创伤性脑损伤后预后的一个关键因素。这是一个对脑组织造成更多损害的过程,发生在原始事件发生后的数小时或数天内。目前,我们几乎无法恢复因最初的创伤或中风而受损的大脑区域的正常工作。然而,如果我们能够在它的发展过程中检测到它,我们可能能够预防继发性脑损伤。受伤后,在受伤核心周围建立了一个脆弱但仍有可能存活的脑组织区域。这个区域很容易受到继发性脑损伤,被称为“半影区”。我们现在知道,被称为“扩张性去极化”(SD)的脑电波,在受伤后经常出现在半影区。我们认为一类特殊的SDs是非常有害的,并且对继发性损伤的过程有很大的贡献。然而,还有另一组SDs会带来额外的氧气和葡萄糖供应。这对半影区的神经元非常有益,可以帮助它们恢复。因此,虽然我们希望阻止有害的SDs,但我们不想阻止那些可能有利的SDs。问题是,我们目前没有办法区分它们之间的区别。我们或许可以通过检查它们对神经元健康的影响来区分它们。在过去的几年里,我一直致力于开发一种方法来探测神经元的健康状况,并实时监测神经元活力的变化。现在我想用这个方法来描述那些表明神经元活力下降的变化。这将使我们能够在病人床边看到继发性脑损伤的现场情况,使我们有更好的机会在为时已晚之前进行干预。我还想用这种方法来确定哪些SDs会对神经元造成伤害,哪些可能会帮助它们恢复。这将意味着我们可以针对遭受有害SDs的患者进行个性化治疗。此外,因为即使是一个有害的SD也可能会损害或杀死半影区的神经元,所以我们理想地希望完全防止它们发生。这就意味着,我们必须找出使神经元只对有害的SDs脆弱的变化。幸运的是,我们从临床前实验中知道,组织环境中有一些非常具体的变化,使神经元容易产生有害的SD。重要的是,这些变化之前没有看到那些可能有益的变化。作为我在开发一种探测神经元健康的方法方面所做的工作的一部分,我还建立了一种评估组织环境变化的方法,这些变化使神经元容易受到有害SDs的影响。我想用这种方法来预测哪些患者可能开始出现有害的SDs。这将意味着,在未来,我们可以对易感患者进行先发制人的治疗,而不是等待它们开始。最后,为了积极预防继发性脑损伤,我们需要知道什么时候神经元的健康状况在下降,也需要知道什么样的治疗方法可以有效地改善这种状况。通过持续实时跟踪神经元健康状况,我的目标是为医生提供一个在线床边工具,既可以识别健康状况下降,又可以对治疗干预的有效性提供即时反馈。将这种工具应用到临床实践中,有可能限制损伤后发生的继发性脑损伤的数量,从而显著改善患者的预后。
英文摘要
A key contributor to outcome following a stroke or a traumatic brain insult is the development of secondary brain injury. This is a process of more damage to brain tissue that occurs over a number of hours and days after the original event. Currently, there is little we can do to restore normal working in brain regions that have been damaged beyond repair by the initial trauma or stroke. However, we might be able to prevent secondary brain injury if we were able to detect this as it progresses.After an injury, a region of vulnerable but still potentially viable brain tissue is established around the injury core. This is the region that is susceptible to secondary brain injury and is called the 'penumbra'. We now know that electrical brain waves, called "spreading depolarisations" (SD), frequently occur in the penumbra after an injury. We believe a special class of these SDs to be very harmful and to contribute significantly to the process of secondary injury. However, there is another group of SDs that bring with them an extra supply of oxygen and glucose. This can be very beneficial to the neurons in the penumbra in helping them to recover. As such, whilst we would like to prevent SDs that are harmful, we do not want to prevent those that might be favourable. The problem is, we currently have no way of telling the difference between them. One way we might be able to tell the difference though is to examine the effect they have on the health of the neurons.Over the last few years I have worked to develop a method to probe neuronal health and to monitor changes in the viability of the neurons in real-time. Now I would like to use this method to characterise the changes that indicate declining neuronal viability. This would enable us to see secondary brain injury happening live at the patient's bedside, giving us a much better opportunity to intervene before it is too late. I would also like to use this method to identify which SDs are causing harm to the neurons and which ones are potentially helping them recover. This would mean that we could personalise treatments for patients experiencing harmful SDs.Furthermore, because even just one harmful SD will likely damage or kill neurons in the penumbra we would ideally like to prevent them from happening at all. This would mean though, that we would have to identify the changes that make neurons vulnerable only to harmful SDs. Luckily, we know from pre-clinical experiments that there are some very specific changes in the tissue environment that predispose neurons to harmful SD. Importantly, these changes are not seen before those that might be beneficial.As a part of the work I have done in developing a method to probe neuronal health, I have also established a way of assessing changes in the tissue environment that predispose neurons to harmful SDs. I would like to use this method to see if I can predict which patients are likely to begin having harmful SDs. This would mean that in the future, instead of waiting for them to start we could give pre-emptive treatments to susceptible patients.Finally, in order to actively prevent secondary brain injury, we need to know both when neuronal health is in decline and also what treatments are effective in improving this. By continuously tracking neuronal health status in real-time I aim to provide physicians with an online bedside tool that will both identify declining health and provide immediate feedback on the effectiveness of therapeutic interventions. The implementation of such a tool into clinical practice has the potential to limit the amount of secondary brain damage that occurs after an injury and thereby to significantly improve the outcome of the patients.
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DOI:
10.1007/s12028-021-01228-x
发表时间:
2021-10
期刊:
Neurocritical care
影响因子:
3.5
作者:
[Jewell S, Hobson S, Brewer G, Rogers M, Hartings JA, Foreman B, Lavrador JP, Sole M, Pahl C, Boutelle MG, Strong AJ]
通讯作者:
Strong AJ
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach
通过脑电图进行实时非侵入性成像和扩散去极化检测:一种超轻可解释的深度学习方法
DOI:
10.48550/arxiv.2309.03147
发表时间:
2023
期刊:
影响因子:
--
作者:
[Wu Y]
通讯作者:
Wu Y
DOI:
10.1089/neu.2019.6599
发表时间:
2020
期刊:
Journal of neurotrauma
影响因子:
4.2
作者:
[Hurst T]
通讯作者:
Hurst T
DOI:
10.1039/c9lc00044e
发表时间:
2019-06-07
期刊:
Lab on a chip
影响因子:
6.1
作者:
[]
通讯作者:
DOI:
10.1007/s12028-019-00777-6
发表时间:
2020-02-01
期刊:
NEUROCRITICAL CARE
影响因子:
3.5
作者:
[Helbok, Raimund, Hartings, Jed A., Carlson, Andrew]
通讯作者:
Carlson, Andrew
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