Molecular Prediction of Osteoarthritis to enable its Prevention: Post-traumatic Osteoarthritis as an exemplar

骨关节炎的分子预测以实现预防:以创伤后骨关节炎为例

基本信息

  • 批准号:
    MR/S016538/2
  • 负责人:
  • 金额:
    $ 99.9万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Fellowship
  • 财政年份:
    2021
  • 资助国家:
    英国
  • 起止时间:
    2021 至 无数据
  • 项目状态:
    已结题

项目摘要

Osteoarthritis (OA) is the commonest form of arthritis, affecting 8.5 million people in the UK. It is the main reason for hip and knee joint replacement surgery, with an associated healthcare budget estimated at £2 billion, with much greater societal cost. We currently have no drug treatments that prevent, slow or cure OA. Knee joint injury, such as anterior cruciate ligament rupture, is the biggest risk factor for future knee OA. About half of all people with knee injuries will develop OA; surgery to treat the injury does not reduce this risk. This type of OA is known as 'post traumatic osteoarthritis' (PTOA). Individuals are often younger when they develop PTOA, but we don't know if this form of OA is otherwise different from 'usual' OA. There is an inflammation response in the knee to the injury which varies considerably between people. Our laboratory studies link this initial 'joint injury response' to later OA. We can measure different aspects of the response: protein 'markers' in knee joint fluid, message levels of genes in blood, an individual's genetic makeup and clinical factors like age, sex or type of injury. Studying the joint injury response gives us an opportunity to understand the processes which cause OA, and to aim to prevent PTOA by picking out those who are at high risk and treating them at the time of their injury. My aim is to identify and test predictors of progression to PTOA after knee injury which can be used in the clinic. I will:-Identify clinical factors and measurable markers at the time of the knee injury which predict PTOA (in the joint and in blood)-Assess the genetic risk of PTOA-Develop a test or risk score which can rate a person's individual risk of future PTOA-Improve our ability to design clinical trials with the aim of preventing PTOAWe will achieve this by using 3 different approaches: (1) work in specific knee injury 'cohorts' (groups) of individuals who have been followed over time with the collection of clinical samples, questionnaires and scans or X-rays; (2) join together a number of other international knee injury cohorts to ask genetic questions in PTOA, but also to check our findings and (3) access much larger existing research studies of individuals with associated healthcare data: UK Biobank (~32,000 individuals have knee OA and associated genetic information), and a large group of general OA studies (Genetics of Osteoarthritis) has an additional 61,000 cases of knee OA. These big numbers are needed to ask genetic questions. We will ask whether known genetic risks for 'usual' OA are the same for PTOA, and whether we can identify any new inherited risk factors. We will also look at 5000 markers in a single joint fluid sample at once, and look at how genes and markers relate to each other.If we identify markers that predict OA, we can develop a test or risk score which gives an individual their personal risk of OA. This would have a number of benefits: helping those with injury, with work and life planning and choices around exercise and potential treatments. It would enable clinical trials in this area, because for the first time we would be able to pick out those at the highest risk. This would make clinical trials more acceptable to participants, and also increase our chances of measuring a true effect of a treatment, allowing smaller numbers and greater certainty about our findings. It may also give us faster, more accurate answers in trials. Lastly, the test could be used in the clinic, channelling scarce healthcare resources to those who are at greatest risk and not giving unnecessary treatments. It is possible that these types of markers may also be relevant to those with early OA of other causes and we will test this. Given the high and growing frequency of OA, finding a way of making any difference in this area is likely to reduce our future health and social care costs.
骨关节炎(OA)是关节炎最常见的形式,影响英国850万人。这是髋关节和膝关节置换手术的主要原因,相关的医疗预算估计为20亿英镑,社会成本要高得多。我们目前没有预防、减缓或治愈OA的药物治疗。膝关节损伤,如前交叉韧带断裂,是未来膝关节OA的最大危险因素。大约一半的膝关节损伤患者会发展为OA;手术治疗损伤并不能降低这种风险。这种类型的OA被称为“创伤后骨关节炎”(PTOA)。个体在发展PTOA时通常更年轻,但我们不知道这种形式的OA是否与“普通”OA不同。膝盖对损伤有炎症反应,这在人与人之间有很大的差异。我们的实验室研究将这种最初的“关节损伤反应”与后来的OA联系起来。我们可以测量反应的不同方面:膝关节液中的蛋白质“标记物”,血液中基因的信息水平,个体的遗传构成和年龄,性别或损伤类型等临床因素。研究关节损伤反应使我们有机会了解导致OA的过程,并旨在通过挑选出那些处于高风险的人并在受伤时对其进行治疗来预防PTOA。我的目的是确定和测试膝关节损伤后PTOA进展的预测因子,这些预测因子可用于临床。我将:-确定膝关节损伤时预测PTOA的临床因素和可测量标志物(在关节和血液中)-评估PTOA的遗传风险-开发一种测试或风险评分,可以评估一个人未来PTOA的个体风险-提高我们设计旨在预防PTOA的临床试验的能力我们将通过使用3种不同的方法来实现这一目标:(1)在特定的膝关节损伤“队列”(组)中工作,这些人已经通过收集临床样本,问卷调查和扫描或X光片进行了一段时间的随访;(2)将其他一些国际膝关节损伤队列结合在一起,以询问PTOA中的遗传问题,但也要检查我们的发现,以及(3)访问具有相关医疗保健数据的个人的更大规模的现有研究:英国生物银行(约32,000人患有膝关节OA和相关遗传信息),一个大的一般OA研究组(骨关节炎遗传学)有额外的61,000例膝关节OA病例。我们需要这些大的数字来提出遗传学问题。我们将询问已知的“普通”OA的遗传风险是否与PTOA相同,以及我们是否可以确定任何新的遗传风险因素。我们还将一次查看单个关节液样本中的5000个标记物,并查看基因和标记物如何相互关联。如果我们确定了预测OA的标记物,我们可以开发一种测试或风险评分,从而为个人提供OA的个人风险。这将有许多好处:帮助那些受伤的人,工作和生活规划以及围绕运动和潜在治疗的选择。这将使这一领域的临床试验成为可能,因为这是我们第一次能够挑选出那些风险最高的人。这将使临床试验更容易被参与者接受,也增加了我们测量治疗真实效果的机会,允许更小的数字和更大的确定性。它还可以在试验中给我们更快,更准确的答案。最后,该测试可用于临床,将稀缺的医疗资源引导到那些风险最大的人身上,而不是进行不必要的治疗。这些类型的标志物也可能与其他原因的早期OA患者相关,我们将对此进行测试。考虑到OA的高频率和不断增长的频率,找到一种在这一领域有所作为的方法可能会减少我们未来的健康和社会保健成本。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Is Treating Post-Menopausal Women With Symptomatic Hand Osteoarthritis With Hormone Replacement Therapy Feasible?: Results From The Hope-E Randomised, Placebo-Controlled Feasibility Study
用激素替代疗法治疗患有症状性手部骨关节炎的绝经后女性是否可行?:Hope-E 随机、安慰剂对照可行性研究的结果
  • DOI:
    10.1016/j.joca.2023.01.222
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    7
  • 作者:
    Chester-Jones M
  • 通讯作者:
    Chester-Jones M
Clinical and molecular associations with outcomes at 2 years after acute knee injury: a longitudinal study in the Knee Injury Cohort at the Kennedy (KICK).
  • DOI:
    10.1016/s2665-9913(21)00116-8
  • 发表时间:
    2021-09
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Garriga C;Goff M;Paterson E;Hrusecka R;Hamid B;Alderson J;Leyland K;Honeyfield L;Greenshields L;Satchithananda K;Lim A;Arden NK;Judge A;Williams A;Vincent TL;Watt FE
  • 通讯作者:
    Watt FE
Harmonising knee pain patient-reported outcomes: a systematic literature review and meta-analysis of Patient Acceptable Symptom State (PASS) and individual participant data (IPD)
协调膝盖疼痛患者报告的结果:系统文献综述和患者可接受症状状态 (PASS) 和个体参与者数据 (IPD) 的荟萃分析
  • DOI:
    10.1016/j.joca.2022.08.011
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    7
  • 作者:
    Georgopoulos V
  • 通讯作者:
    Georgopoulos V
Lifetime risk and genetic predisposition to post-traumatic OA of the knee in the UK Biobank
  • DOI:
    10.1016/j.joca.2023.05.012
  • 发表时间:
    2023-10-01
  • 期刊:
  • 影响因子:
    7
  • 作者:
    Hollis, B.;Chatzigeorgiou, C.;Watt, F. E.
  • 通讯作者:
    Watt, F. E.
Commonality Between The Proteome Signatures Of Clinical Response To Surgically Sustained And Acute Traumatic Cartilage Injuries In Two Human Knee Cohorts
两个人类膝关节群体对持续手术和急性创伤性软骨损伤临床反应的蛋白质组特征之间的共性
  • DOI:
    10.1016/j.joca.2023.01.399
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    7
  • 作者:
    Hulme C
  • 通讯作者:
    Hulme C
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Fiona Watt其他文献

Hair follicle stem cells define a niche for tactile sensation via secretion of a specialized ECM
  • DOI:
    10.1016/j.jdermsci.2017.02.177
  • 发表时间:
    2017-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Chun-Chun Cheng;Ko Tsutsui;Toru Taguchi;Noriko Ban-Sanzen;Kisa Kakiguchi;Shigenobu Yonemura;Shigehiro Kuraku;Fiona Watt;Hironobu Fujiwara
  • 通讯作者:
    Hironobu Fujiwara
Irrigation of squamous cell carcinoma wounds to prevent local recurrence
  • DOI:
    10.1016/j.ijsu.2012.06.039
  • 发表时间:
    2012-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Stephen Goldie;Scott Lyons;Richard Price;Fiona Watt
  • 通讯作者:
    Fiona Watt
Spatiotemporal dynamics of ERK activity in human and mouse epidermal cells
人和小鼠表皮细胞 ERK 活性的时空动态
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    平塚 徹;Ignacio Bordeau;Gunnar Preussner;Fiona Watt
  • 通讯作者:
    Fiona Watt
Epidermal Wnt/beta-catenin signalling promotes dermal adipocyte differentiation during hair follicle morphogenesis and regeneration
  • DOI:
    10.1016/j.jdermsci.2012.11.502
  • 发表时间:
    2013-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Hironobu Fujiwara;Giacomo Donati;Valentina Proserpio;Ken Natsuga;Charlotte Collins;Fiona Watt
  • 通讯作者:
    Fiona Watt
Arthritis in the perimenopause
  • DOI:
    10.1016/j.maturitas.2017.03.055
  • 发表时间:
    2017-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Fiona Watt
  • 通讯作者:
    Fiona Watt

Fiona Watt的其他文献

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{{ truncateString('Fiona Watt', 18)}}的其他基金

Developing new tests and treatments to enable prevention of osteoarthritis.
开发新的测试和治疗方法以预防骨关节炎。
  • 批准号:
    MR/Y003470/1
  • 财政年份:
    2024
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Fellowship
Molecular Prediction of Osteoarthritis to enable its Prevention: Post-traumatic Osteoarthritis as an exemplar
骨关节炎的分子预测以实现预防:以创伤后骨关节炎为例
  • 批准号:
    MR/S016538/1
  • 财政年份:
    2019
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Fellowship
Understanding the roles of distinct fibroblast subpopulations in skin homeostasis and disease
了解不同成纤维细胞亚群在皮肤稳态和疾病中的作用
  • 批准号:
    MR/P018823/1
  • 财政年份:
    2018
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Research Grant
Effect of the topography of the human epidermal-dermal junction in influencing stem cell behaviour
人表皮-真皮交界处的地形对干细胞行为的影响
  • 批准号:
    BB/M007219/1
  • 财政年份:
    2015
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Research Grant
Overcoming immunological barriers to regenerative medicine
克服再生医学的免疫障碍
  • 批准号:
    MR/L022699/1
  • 财政年份:
    2014
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Research Grant
Reciprocal signalling between stem cells and their microenvironment in epidermis and tumours
表皮和肿瘤中干细胞及其微环境之间的相互信号传导
  • 批准号:
    G1100073-E01/1
  • 财政年份:
    2012
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Research Grant
Wellcome Trust MRC Human Inducible Pluripotent Stem Cell Initiative
Wellcome Trust MRC 人类诱导多能干细胞计划
  • 批准号:
    MC_PC_12026
  • 财政年份:
    2012
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Intramural
Epidermal stem and transit amplifying cells
表皮干细胞和转运扩增细胞
  • 批准号:
    G0600796/1
  • 财政年份:
    2007
  • 资助金额:
    $ 99.9万
  • 项目类别:
    Research Grant

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