MICA: Partnership for Assessment and Investigation of Neuropathic Pain: Studies Tracking Outcomes, Risks and Mechanisms (PAINSTORM).
MICA: Partnership for Assessment and Investigation of Neuropathic Pain: Studies Tracking Outcomes, Risks and Mechanisms (PAINSTORM).
批准号:
MR/W002388/1
负责人:
David Bennett
金额:
$461.28万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
该联盟汇集了神经病理性疼痛(NeuP)方面的专家。NeuP影响8%的人口,由感觉神经系统损伤(通过糖尿病、化疗和艾滋病毒等疾病)引起。由于人口老龄化、糖尿病水平的增加和癌症存活率的提高,这种情况越来越常见。NeuP对生活质量有很大的负面影响。不幸的是,目前的治疗方案并不充分,因为它们只对一小部分患者有效。此外,虽然NeuP Impact是多维的,但这一领域的大多数研究和临床管理都是独立的,而不是跨学科的。他们过于强调通常与副作用相关的药理学方法,而不是采取更全面的方法来解决NeuP的复杂的社会和心理方面。为了纠正这种情况,我们需要了解驱动患者中性粒细胞早搏的机制。为了做到这一点,PAINSTORM将使用跨越传统学科界限的广泛方法,揭示NeuP的原因并了解它们是如何相互作用的。这种跨学科的合作将包括NeuP患者(嵌入患者和公众参与)的患者,来自不同临床和科学背景的科学家,以及帮助将研究转化为有效的、多方面干预的行业专业知识。我们的重点将是研究NeuP风险人群并跟踪他们的进展。我们将使用一些现有的队列,以及招募新的参与者,并将结果与全国范围的社区研究协调一致。一个关键的问题是理解为什么有些人会受到NeuP的严重影响,而其他有类似神经损伤模式的人则不会。因此,我们将确定决定NeuP风险的个人特征(如年龄、性别和种族)、环境/社会和临床因素。我们将识别和验证NeuP的新的遗传风险因素。组织样本和患者来源的细胞将被用于验证导致慢性NeuP的分子途径,并帮助开发血液生物标记物。这些样本将被储存起来,并通过生物库提供给其他研究人员。我们将优化评估NeuP的措施,包括感觉特征、远程监测的应用和心理社会因素的评估,以了解疼痛对日常活动(从自我护理到工作)的影响,以及经常与慢性疼痛相关的重要情况,如抑郁、焦虑和睡眠不佳。我们将使用创新技术,包括脑、脊髓和神经成像以及电生理学,直接评估驱动NeuP的因素。我们将整合这个多维数据集,以了解风险和保护因素之间的相互作用。我们将开发生物标记物,作为测量疼痛及其随时间变化的手段,可应用于临床实践和药物试验。我们的目标是改善现有疗法的目标,以及确定和优先考虑新的治疗目标。我们将在一开始和整个PAINSTORM期间与包括卫生专业人员、NeuP患者和行业在内的关键利益攸关方团体接触。结果将通过开发可访问的数据库、摘要、可访问的生物库以及对我们联盟内外的科学家和临床医生进行持续培训来广泛传播,以增强影响。我们的目标是,PAINSTORM应该通过我们对NeuP的理解和未来的跨学科管理来改变生活。
英文摘要
This consortium brings together experts in Neuropathic pain (NeuP). NeuP affects 8% of the population and is caused by damage to the sensory nervous system (through conditions such as diabetes, chemotherapy and HIV). It is increasingly common as a consequence of the ageing population, increasing levels of diabetes and enhanced cancer survival. NeuP has a major negative impact on quality of life. Unfortunately current management options are inadequate as they are only effective in a small subgroup of patients. Additionally, whilst NeuP impact is multidimensional, most research and clinical management in this area is separate rather than being interdisciplinary. They over emphasise pharmacological approaches, often associated with side effects, rather than taking a more holistic approach addressing the complex social and psychological aspects of NeuP. To rectify this situation we need to understand the mechanisms driving NeuP in patients. In order to do so, PAINSTORM will use a broad range of approaches cutting across traditional disciplinary boundaries, to uncover the causes of NeuP and understand how they interact. This inter-disciplinary collaboration will include people living with NeuP (embedding patient and public involvement), scientists from diverse clinical and scientific backgrounds, and industry expertise to help translate the research into effective, multifaceted interventions.Our focus will be on studying people at risk of NeuP and following their progress over time. We will use a number of established cohorts, as well as recruiting new participants, and harmonise outcomes with national scale community studies. A key question is understanding why some people are severely impacted by NeuP whilst others with a similar pattern of nerve damage are not. Hence we will identify the personal characteristics (such as age, gender and ethnicity), environmental/social and clinical factors which determine NeuP risk. We will identify and validate novel genetic risk factors for NeuP. Tissue samples and patient-derived cells will be used to validate molecular pathways contributing to chronic NeuP and help develop blood biomarkers. These samples will be stored and made available to other researchers via a biobank. We will optimise measures to assess NeuP, including sensory profiling, application of remote monitoring and assessment of psychosocial factors to understand the impact of pain on daily activities (from self-care to work) and important conditions that are often associated with chronic pain such as depression, anxiety and poor sleep. We will use innovative technologies, including brain, spinal cord and nerve imaging and electrophysiology, to directly assess the factors that drive NeuP. We will integrate this multi-dimensional dataset to understand the interaction between risk and protective factors. We will develop biomarkers, as a means to measure pain and how it changes over time, which can be applied to clinical practice and drug trials. We aim to improve targeting of existing therapies, as well as identifying and prioritising novel treatment targets. We will engage key stakeholder groups including health professionals, people living with NeuP and industry at the outset and throughout PAINSTORM. Results will be widely disseminated through development of accessible databases, lay summaries, an accessible biobank and ongoing training of scientists and clinicians both within and external to our consortium to enhance impact. Our aim is that PAINSTORM should transform lives through our understanding and future interdisciplinary management of NeuP.
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Classification of Painful or Painless Diabetic Peripheral Neuropathy and Identification of the Most Powerful Predictors Using Machine Learning Models in Large Cross-Sectional Cohorts
在大横截面队列中使用机器学习模型对疼痛或无痛糖尿病周围神经病变进行分类并识别最强大的预测因子
DOI:
10.21203/rs.3.rs-1074596/v1
发表时间:
2021
期刊:
影响因子:
--
作者:
[Baskozos G]
通讯作者:
Baskozos G
DOI:
10.1186/s12911-022-01890-x
发表时间:
2022-05-29
期刊:
BMC MEDICAL INFORMATICS AND DECISION MAKING
影响因子:
3.5
作者:
[Baskozos, Georgios, Themistocleous, Andreas C., Hebert, Harry L., Pascal, Mathilde M., V, John, Jishi, Callaghan, Brian C., Laycock, Helen, Granovsky, Yelena, Crombez, Geert, Yarnitsky, David, Rice, Andrew S. C., Smith, Blair H., Bennett, David L. H.]
通讯作者:
Bennett, David L. H.
The epidemiology of neuropathic pain: an analysis of prevalence and associated factors in UK Biobank
神经性疼痛的流行病学:英国生物银行的患病率和相关因素分析
DOI:
10.1101/2022.07.26.22278063
发表时间:
2022
期刊:
影响因子:
--
作者:
[Baskozos G]
通讯作者:
Baskozos G
DOI:
10.1097/pr9.0000000000001115
发表时间:
2023-12
期刊:
Pain reports
影响因子:
4.8
作者:
[]
通讯作者:
Additional file 1 of Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts
附加文件 1:疼痛或无痛糖尿病周围神经病变的分类以及在大横截面队列中使用机器学习模型识别最强大的预测因子
DOI:
10.6084/m9.figshare.19923357
发表时间:
2022
期刊:
影响因子:
--
作者:
[Baskozos G]
通讯作者:
Baskozos G
共 8 条
Defining the primary afferent circuitry that drives neuropathic pain
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批准号:MR/T020113/1
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项目类别:Research Grant
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Using human IPSC derived nociceptors as a cellular model to investigate and therapeutically target Nav1.7
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The role of CASPR2 in regulating sensory neuronal excitability and chronic pain
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项目类别:Research Grant
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财政年份:2015
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负责人:David Bennett
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依托单位:
Cold and Possibly Unbound Planets from Wide-Field Microlensing Surveys
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批准号:1211875
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项目类别:Standard Grant
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资助金额:$36.63万
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财政年份:2012
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负责人:David Bennett
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依托单位:
CNH: People, Water, and Climate: Adaptation and Resilience in Agricultural Watersheds
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批准号:1114978
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项目类别:Standard Grant
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资助金额:$101.18万
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财政年份:2011
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负责人:David Bennett
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依托单位:
Next Generation Microlensing Planet Search Analysis and Observations
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批准号:1009621
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项目类别:Standard Grant
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资助金额:$42.38万
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财政年份:2010
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负责人:David Bennett
-
依托单位:
Analysis and Interpretation of Planetary Gravitational Microlensing Events
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批准号:0708890
-
项目类别:Standard Grant
-
资助金额:$33.46万
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财政年份:2007
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负责人:David Bennett
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依托单位:
HSD: Collaborative Research: Social Complexity and the Management of the Commons
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批准号:0624297
-
项目类别:Standard Grant
-
资助金额:$19.84万
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财政年份:2006
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负责人:David Bennett
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依托单位:
Observations and Analysis of Exotic Gravitational Microlensing Events
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批准号:0206189
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项目类别:Continuing Grant
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资助金额:$27.0万
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财政年份:2002
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负责人:David Bennett
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依托单位:
A Search for Extra-Solar Planets via Gravitational Microlensing
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批准号:9619575
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项目类别:Continuing Grant
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资助金额:$15.78万
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财政年份:1997
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负责人:David Bennett
-
依托单位:
U.S.-South Africa Planning Visit: Use of a Gravitational Microlensing Technique to Search for Extra-Solar Planetary Systems
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批准号:9603140
-
项目类别:Fixed Amount Award
-
资助金额:$0.38万
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财政年份:1996
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负责人:David Bennett
-
依托单位:
NSF Postdoctoral Fellowship in Plant Biology
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批准号:8312553
-
项目类别:Fellowship Award
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资助金额:$7.96万
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财政年份:1983
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负责人:David Bennett
-
依托单位:
海外基金