NeuronS_MATTR Network: Neuronal & Systems Mechanisms of Affective Touch & Therapeutic Tissue Manipulation Research Network

摘要/项目总结 这项建议的目标是建立一个高度优先的研究网络，以确定各种机制， 软组织操作（STM），例如按摩，对神经系统、非神经系统和神经系统施加生物效应。 细胞和组织。神经肌肉骨骼疼痛困扰着多达一半的美国成年人口，是最常见的 接受按摩的常见健康原因。软组织操作已被证明可以促进 放松，减少焦虑，减轻疼痛，减轻炎症，并促进功能变化。STM也 为短期疼痛缓解提供了非成瘾性的药物干预替代方案。虽然STM STM自古以来就被广泛使用，但其有益作用的机制尚不清楚 STM干预措施没有基于严格和令人信服的科学证据进行优化。 尽管在过去十年中的机制研究已经确定了分子，细胞和电路机制， 尽管在哺乳动物中存在区分性触觉，但这些神经通路如何被STM参与尚不清楚。 此外，细胞和电路介导的触觉感觉的情感成分还没有被定义。 使STM的治疗效果，跨学科研究和新资源的机制研究成为可能 是必要的。该领域需要手动治疗师，神经科学家，工程师和细胞之间的合作 生物学家科学会议或其他沟通这些学科的网络机会目前还没有 存在.本申请响应RFA-AT-21 - 006将创建一个跨学科的研究网络， 科学家和临床医生的共同目标是开发技术和合作，以打破障碍， 中求进工作总首先，很少有量化的标准存在，以严格衡量治疗师如何应用实践 操作，或者这些操作如何改变接收组织中的应力/应变场。第二，该领域缺乏 技术和计算模型来量化STM技术的时空动态。三是如何 非神经信号和细胞类型，包括细胞因子、免疫细胞、成纤维细胞和上皮细胞， 恢复性修复与纤维化愈合尚未确定。我们的核心调查小组由科学家组成 和临床医生，他们的集体专业知识涵盖物理治疗，神经科学，从分子到电路， 小鼠和人类神经系统，工程和组织力学，以及神经组织，包括 免疫、肌筋膜和皮肤系统。推进STM的机理研究， 机械感觉信号，U24网络旨在1）组织会议计划，以促进包容性 网络和跨学科合作，吸引不同的研究人员和临床医生到现场，并促进 对机械疗法的神经生物学进行多尺度的机械研究。2)实施试点项目计划 生成新的工具，用于量化基于力的操纵，可检验的假设，以及新的机制， 知识3)快速和自由地传播高影响力的研究，通过分享创新， 定义短时记忆有益作用的神经机制的概念和技术。

ABSTRACT / PROJECT SUMMARY The goal of this proposal is to establish a high-priority research network to identify mechanisms through which soft tissue manipulation (STM), such as massage, exerts biological effects on the nervous system, non-neural cells and tissues. Neuromusculoskeletal pain afflicts up to half of the adult U.S. population and is the most commonly cited health reason for receiving massage. Soft tissue manipulation has been shown to promote relaxation, reduce anxiety, attenuate pain, mitigate inflammation, and promote functional change. STM also offers non-addictive alternatives to pharmacological interventions for short-term pain relief. Although STM has been used widely since ancient times, the underlying mechanisms of STM’s beneficial effects are not well understood, and STM interventions are not optimized based on rigorous and compelling scientific evidence. Although mechanistic studies over the past decade have identified molecular, cellular and circuit mechanisms of discriminative touch sensation in mammals, how these neural pathways are engaged by STM is unknown. Moreover, the cells and circuits that mediate affective components of touch sensation have not been defined. To enable mechanistic research into therapeutic effects of STM, interdisciplinary research and new resources are needed. The field requires collaboration between manual therapists, neuroscientists, engineers, and cell biologists. Scientific conferences or other networking opportunities that bridge these disciplines do not currently exist. This application in response to RFA-AT-21-006 will create a cross-disciplinary research network of scientists and clinicians with the shared goal of developing technologies and collaborations to break barriers to progress. First, few quantifiable standards exist to rigorously measure either how therapists apply hands-on manipulations, or how these manipulations alter stress/strain fields in receiving tissues. Second, the field lacks technologies and computational models to quantify the spatiotemporal dynamics of STM techniques. Third, how non-neural signals and cell types, including cytokines, immune cells, fibroblasts, and epithelial cells, promote restorative repair versus fibrotic healing have not been defined. Our core investigative team consists of scientists and clinicians whose collective expertise spans physical therapy, neuroscience from molecules to circuits in the mouse and human nervous systems, engineering and tissue mechanics, and extraneural tissues including the immune, myofascial and integumentary systems. To advance mechanistic research on STM and mechanosensory signaling, the U24 network aims to 1) Organize a Conferences Program to promote inclusive networking and cross-disciplinary collaborations, draw diverse researchers and clinicians to the field, and foster mechanistic, multi-scale research on the neurobiology of mechanotherapy. 2) Implement a Pilot Project Program to generate new tools for quantifying force-based manipulations, testable hypotheses, and new mechanistic knowledge. 3) Rapidly and freely disseminate high-impact research to advance the field by sharing innovative concepts and technologies that define neural mechanisms of the beneficial effects of STM.