Modeling temporomandibular joint disorders pain: role of transient receptor potential ion channels

颞下颌关节疾病疼痛建模:瞬时受体电位离子通道的作用

基本信息

  • 批准号:
    9595624
  • 负责人:
  • 金额:
    $ 37.72万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-01 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

Masticatory and spontaneous pain associated with temporomandibular joint disorders (TMJD) is a prevalent and significant contributor to orofacial pain. TMJD pain presents for too many patients as a debilitating chronic trigeminal pain condition that impacts their lives overwhelmingly. TMJD pain is undoubtedly a serious unmet medical need. Unfortunately, current treatments for TMJD pain are lacking in effectiveness, primarily due to: 1) shortcomings of current TMJD preclinical models to faithfully model patients’ cardinal complaints; 2) the elusiveness of the molecular, cellular and neural-circuit mechanisms that underlie TMJD pain. Our proposal seeks to address both key issues. TRP channels relevant for pain, pain-TRPs, expressed by trigeminal ganglion (TG) sensory neurons, have been critically implicated in both acute and chronic pain and represent possible bona-fide targets for development of rationally-guided anti-pain strategies. However, their direct-mechanistic roles in masticatory and spontaneous pain of TMJD are elusive and in need of clarification. In our previously published and preliminary studies, we developed and validated bite force and conditioned place preference assays for measuring masticatory and spontaneous pain, induced by inflammatory injury to the TMJ or ligation of the tendon of the masseter muscle, both methods evoking long- lasting pain-behavior. Using bite force metrics, we found TMJ inflammation-induced masticatory pain to be significantly attenuated, but not fully reversed in Trpv4 knockout (KO) mice, suggesting that the residual pain might be mediated by other pain-TRPs. Our gene expression studies demonstrated that TRPV1 and TRPA1 were up-regulated in the TG in response to TMJ inflammation, moreover, in a Trpv4-dependent manner. Therefore, we hypothesize that TRPV1 and TRPA1, like TRPV4, contribute to TMJD pain, in particular via the ensemble of their signaling. This hypothesis will be examined using our two models of TMJ injury. Pain- behavior read-out metrics will be bite force and conditioned place preference. We will employ a combination of pharmacologic and genetic loss-of-function approaches for the targeted genes as well as selective neuronal silencing using specific TRP agonists combined with positively charged lidocaine derivative (QX314). Also, we will target TMEM100, a recently discovered adaptor of TRPV1-TRPA1 functional interactions, by using a TMEM100-inhibitory peptide for local injections and sensory neuron-TMEM100 conditional knockout mice. Our three Specific Aims will examine the contribution of TRPV1, TRPV4, TRPA1 and TMEM100 to pathogenesis of TMJD pathologic pain including assessment of neurogenic inflammation, a pathogenic mechanism for which we have collected exciting pilot data revealing its key contribution to TMJD pain. Successfully addressing our ambitious, yet feasible Aims will provide a rich yield of new fundamental insights and also readily translatable new knowledge. These will empower us to overcome a serious unmet medical need that our society faces in the age of the “opioid epidemic”, namely chronic TMJD pain, by applying a rationally-guided new strategy.
与颞下颌关节疾病(TMJD)有关的咀嚼性和赞助疼痛是一个 流行而重要的是口服疼痛。 TMJD疼痛为太多患者带来了 使慢性三叉神经疼痛状况衰弱,这绝大多数会影响他们的生活。 TMJD疼痛无疑是 严重未满足的医疗需求。不幸的是,目前对TMJD疼痛的治疗缺乏有效性, 主要由于:1)当前TMJD临床前模型的缺点,以忠实地对患者的红衣主教建模 投诉; 2)分子,细胞和神经电路机制的弹性,这些机制是TMJD的基础 疼痛。我们的建议旨在解决这两个关键问题。与疼痛,疼痛TRP相关的TRP通道表达 通过三叉神经节(TG)感觉神经元,与急性和慢性疼痛有关 并代表可能的善意目标,用于制定理性引导的反潘恩策略。然而, 它们在TMJD的咀嚼和赞助商中的直接机械角色是难以捉摸的,需要 澄清。在我们先前发表的初步研究中,我们开发并验证了咬合力, 有条件地点偏好测定测量咀嚼性和赞助疼痛的测定法 咬伤肌肉肌肉的TMJ炎症损伤或结扎,两种方法都引起了长期 持久的疼痛行为。使用咬合力指标,我们发现TMJ炎症引起的咀嚼性疼痛为 显着减弱,但在TRPV4敲除(KO)小鼠中没有完全逆转,表明残留疼痛 可能是由其他疼痛trps介导的。我们的基因表达研究表明TRPV1和TRPA1 此外,在TMJ注入的情况下,在TG中以TRPV4依赖性方式被上调。 因此,我们假设TRPV1和TRPA1(如TRPV4)尤其会导致TMJD疼痛,特别是通过 信号的合奏。该假设将使用我们的TMJ损伤模型进行检查。疼痛- 行为读出的指标将是咬合力和条件的地点偏好。我们将采用组合 针对靶向基因以及选择性神经元的药理和遗传丧失方法 使用特定的TRP激动剂结合带正电的利多卡因衍生物(QX314)的沉默。另外,我们 将通过使用A靶标TMEM100,这是最近发现的TRPV1-TRPA1功能相互作用的适配器 TMEM100抑制性肽用于局部注射和感觉神经元-TMEM100条件敲除小鼠。我们的 三个具体目的将研究TRPV1,TRPV4,TRPA1和TMEM100对发病机理的贡献 TMJD病理疼痛,包括评估神经源性感染,一种致病机制 我们收集了令人兴奋的试点数据,揭示了其对TMJD疼痛的关键贡献。成功地解决了我们的问题 雄心勃勃但可行的目标将提供丰富的新基本见解,并且很容易翻译 新知识。这些将使我们能够克服我们社会面临的严重未满足的医疗需求 通过采用合理引导的新策略,“阿片类流行病”的年龄,即慢性TMJD疼痛。

项目成果

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Yong Chen其他文献

Yong Chen的其他文献

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{{ truncateString('Yong Chen', 18)}}的其他基金

ClinEX - Clinical Evidence Extraction, Representation, and Appraisal
ClinEX - 临床证据提取、表示和评估
  • 批准号:
    10754029
  • 财政年份:
    2023
  • 资助金额:
    $ 37.72万
  • 项目类别:
Surrogate Augmented Deep Predictive Learning for Retinopathy of Prematurity
早产儿视网膜病变的替代增强深度预测学习
  • 批准号:
    10740289
  • 财政年份:
    2023
  • 资助金额:
    $ 37.72万
  • 项目类别:
Development of Magnetic Resonance Fingerprinting (MRF) to Assess Response to Neoadjuvant Chemotherapy in Breast Cancer
开发磁共振指纹图谱 (MRF) 来评估乳腺癌新辅助化疗的反应
  • 批准号:
    10713097
  • 财政年份:
    2023
  • 资助金额:
    $ 37.72万
  • 项目类别:
Development of Magnetic Resonance Fingerprinting in Kidney for Evaluation of Renal Cell Carcinoma
肾脏磁共振指纹图谱用于肾细胞癌评估的发展
  • 批准号:
    10522570
  • 财政年份:
    2022
  • 资助金额:
    $ 37.72万
  • 项目类别:
Development of Magnetic Resonance Fingerprinting in Kidney for Evaluation of Renal Cell Carcinoma
肾脏磁共振指纹图谱用于肾细胞癌评估的发展
  • 批准号:
    10707150
  • 财政年份:
    2022
  • 资助金额:
    $ 37.72万
  • 项目类别:
CICADA: clinical informatics and computational approaches for drug-repositioning of AD/ADRD
CICADA:AD/ADRD 药物重新定位的临床信息学和计算方法
  • 批准号:
    10476677
  • 财政年份:
    2021
  • 资助金额:
    $ 37.72万
  • 项目类别:
PheBC: bias correction methods for EHR derived phenotype
PheBC:EHR 衍生表型的偏差校正方法
  • 批准号:
    10471166
  • 财政年份:
    2021
  • 资助金额:
    $ 37.72万
  • 项目类别:
PheBC: bias correction methods for EHR derived phenotype
PheBC:EHR 衍生表型的偏差校正方法
  • 批准号:
    10839649
  • 财政年份:
    2021
  • 资助金额:
    $ 37.72万
  • 项目类别:
TRiPOD: Toward Reusable Phenotypes in Observational Data for AD/ADRD - managing definitions and correcting bias
TRiPOD:在 AD/ADRD 观察数据中实现可重复使用的表型 - 管理定义和纠正偏差
  • 批准号:
    10642888
  • 财政年份:
    2021
  • 资助金额:
    $ 37.72万
  • 项目类别:
TRiPOD: Toward Reusable Phenotypes in Observational Data for AD/ADRD - managing definitions and correcting bias
TRiPOD:在 AD/ADRD 观察数据中实现可重复使用的表型 - 管理定义和纠正偏差
  • 批准号:
    10279554
  • 财政年份:
    2021
  • 资助金额:
    $ 37.72万
  • 项目类别:

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