Development of Nanomembrane Electronics and Machine-Learning Algorithms for Quantitative Screening of Dysphagia Therapeutics
开发用于定量筛选吞咽困难治疗药物的纳米膜电子学和机器学习算法
基本信息
- 批准号:10373326
- 负责人:
- 金额:$ 21.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-23 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:AgeAmericanAnimal ModelAnimalsBariumChokingClinical ResearchContrast MediaCoughingDataDeglutitionDeglutition DisordersDehydrationDetectionDevelopmentDevicesDiagnosisDiagnostic radiologic examinationDiseaseDrug EvaluationElectronicsEvaluationExperimental DesignsFDA approvedFoodGuidelinesHumanImageImmobilizationImpairmentIndividualIngestionMalnutritionMasticationMeasurementMechanicsMethodsModelingMonitorMovementMuscleMuscle functionNeurologicOralOutcomes ResearchPatientsPerformancePharmaceutical PreparationsPneumoniaQuality of lifeRattusReflex actionResearchRiluzoleSignal TransductionSkinStretchingSuperoxide DismutaseSystemSystems IntegrationTestingTherapeuticTimeTransgenic OrganismsWireless Technologybaseclassification algorithmcomputerized data processingdeep learningdeep learning algorithmdesigndigitaldrug candidatedrug classificationdrug developmentdrug efficacyeffective therapyefficacy evaluationflexibilityhuman subjectimprovedin vivolight weightmachine learning algorithmminiaturizemortalitynanomembranenovelnovel therapeuticsphenylmethylpyrazoloneportabilitypre-clinicalscreeningsignal processingtherapeutic evaluationtoolwearable devicewearable sensor technology
项目摘要
Project Summary
Dysphagia is an impairment of the swallow reflex's neurological and muscular functions that
causes a debilitating and potentially deadly condition such as choking, malnutrition, dehydration
or pneumonia during swallowing. Dysphagia afflicts almost 15 million Americans, particularly
individuals 50-60 years or older with up to a 20% chance of dysphagia. However, regardless of
the cause of dysphagia, currently there are no available therapeutic treatments. Limitation of
preclinical tools and methods to study dysphagia is one of the biggest reasons for the lack of
therapeutic treatment for dysphagia. Video-fluoroscopic swallowing study (VFSS) has been
used to diagnose dysphagia in a clinical study as well as research with animal models for drug
development. However, the VFSS method in clinical study relies on the active cooperation of a
human subject, such as ingestion of food with barium (oral contrast agent) and movement
immobilization during X-ray imaging. The VFSS tool shows the severe issue in an animal study
due to uncontrollable target, which results in poor image quality and unreliable drug
development. Overall, none of the existing commercial systems can offer a portable, real-time,
continuous monitoring of swallowing with either humans or animals.
Here, this project will develop a novel, nanomembrane electronic system that offers a
continuous, quantitative assessment of swallowing activities in a non-invasive way on the skin of
rat models, which will help to develop potential dysphagia drugs. Specifically, we will develop
soft, ultrathin, lightweight, miniaturized wearable electronics to monitor time-dependent changes
of swallowing muscle functions via wireless, real-time recording of electromyograms on
swallowing muscles of a dysphagia rat model. In this project, our initial study in the evaluation of
dysphagia therapeutics will focus on ALS-related dysphagia since there are well-established
animal models (transgenic superoxide dismutase; SODG93A) with severe dysphagia at a young
age. SODG93A animal models have been widely used to screen potential therapeutic
compounds, including two FDA-approved ALS drugs: edaravone and riluzole. Collectively, if
successful, the newly developed nanomembrane electronics will be a game-changer in the
therapeutic evaluation of candidate drugs for ALS-related dysphagia as well as other diseases-
related dysphagia. The research outcome is expected to provide a new drug for an effective
treatment of dysphagia, which will eventually reduce mortality and improve the quality of life of
dysphagia patients.
项目摘要
吞咽困难是吞咽反射的神经和肌肉功能受损,
导致衰弱和潜在的致命情况,如窒息、营养不良、脱水
或吞咽时的肺炎。吞咽困难困扰着近1500万美国人,尤其是
50-60岁或以上的人吞咽困难的可能性高达20%。然而,无论
对于吞咽困难的原因,目前还没有可用的治疗方法。限制
临床前研究吞咽困难的工具和方法是缺乏
吞咽困难的治疗。视频透视吞咽研究(VFSS)已被
在临床研究和药物动物模型研究中用于诊断吞咽困难
发展。然而,VFSS方法在临床研究中的应用有赖于
人体受试者,如摄入含钡(口服造影剂)的食物和运动
在X射线成像过程中的固定。VFSS工具在动物研究中显示了严重的问题
由于靶标不可控,导致图像质量差,药物不可靠
发展。总体而言,现有的商业系统都不能提供可移植的、实时的、
持续监测人类或动物的吞咽情况。
在这里,这个项目将开发一种新型的纳米膜电子系统,它提供了一种
持续的、定量的非侵入性吞咽活动评估
这将有助于开发潜在的吞咽困难药物。具体来说,我们将发展
柔软、超薄、轻便、小型化的可穿戴电子设备,可监控随时间变化的情况
通过无线实时记录肌电记录吞咽肌肉功能
吞咽困难大鼠模型的肌肉。在这个项目中,我们初步研究了对
吞咽困难的治疗将侧重于ALS相关的吞咽困难,因为有公认的
幼年严重吞咽困难的动物模型(转基因超氧化物歧化酶;SODG93A)
年龄。SODG93A动物模型已被广泛用于筛选潜在的治疗方法
化合物,包括FDA批准的两种ALS药物:依达拉奉和利鲁唑。总体来说,如果
如果成功,新开发的纳米膜电子产品将改变游戏规则
肌萎缩侧索硬化症相关吞咽困难及其他疾病候选药物的疗效评价-
相关的吞咽困难。这一研究成果有望为有效的治疗提供一种新的药物
吞咽困难的治疗,这最终将降低死亡率,提高患者的生活质量
吞咽困难的病人。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Woon-Hong Yeo其他文献
Woon-Hong Yeo的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Woon-Hong Yeo', 18)}}的其他基金
Development of Nanomembrane Electronics and Machine-Learning Algorithms for Quantitative Screening of Dysphagia Therapeutics
开发用于定量筛选吞咽困难治疗药物的纳米膜电子学和机器学习算法
- 批准号:
10493361 - 财政年份:2021
- 资助金额:
$ 21.19万 - 项目类别:
Development of Nanomembrane Electronics and Machine-Learning Algorithms for Quantitative Screening of Dysphagia Therapeutics
开发用于定量筛选吞咽困难治疗药物的纳米膜电子学和机器学习算法
- 批准号:
10675556 - 财政年份:2021
- 资助金额:
$ 21.19万 - 项目类别:
相似海外基金
Collaborative Research: REU Site: Earth and Planetary Science and Astrophysics REU at the American Museum of Natural History in Collaboration with the City University of New York
合作研究:REU 地点:地球与行星科学和天体物理学 REU 与纽约市立大学合作,位于美国自然历史博物馆
- 批准号:
2348998 - 财政年份:2025
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
Collaborative Research: REU Site: Earth and Planetary Science and Astrophysics REU at the American Museum of Natural History in Collaboration with the City University of New York
合作研究:REU 地点:地球与行星科学和天体物理学 REU 与纽约市立大学合作,位于美国自然历史博物馆
- 批准号:
2348999 - 财政年份:2025
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
Understanding Latin American Challenges in the 21st Century (LAC-EU)
了解拉丁美洲在 21 世纪面临的挑战 (LAC-EU)
- 批准号:
EP/Y034694/1 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Research Grant
Conference: North American High Order Methods Con (NAHOMCon)
会议:北美高阶方法大会 (NAHOMCon)
- 批准号:
2333724 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
Collaborative Research: RUI: Continental-Scale Study of Jura-Cretaceous Basins and Melanges along the Backbone of the North American Cordillera-A Test of Mesozoic Subduction Models
合作研究:RUI:北美科迪勒拉山脊沿线汝拉-白垩纪盆地和混杂岩的大陆尺度研究——中生代俯冲模型的检验
- 批准号:
2346565 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
REU Site: Research Experiences for American Leadership of Industry with Zero Emissions by 2050 (REALIZE-2050)
REU 网站:2050 年美国零排放工业领先地位的研究经验 (REALIZE-2050)
- 批准号:
2349580 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
Collaborative Research: RUI: Continental-Scale Study of Jura-Cretaceous Basins and Melanges along the Backbone of the North American Cordillera-A Test of Mesozoic Subduction Models
合作研究:RUI:北美科迪勒拉山脊沿线汝拉-白垩纪盆地和混杂岩的大陆尺度研究——中生代俯冲模型的检验
- 批准号:
2346564 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
Conference: Latin American School of Algebraic Geometry
会议:拉丁美洲代数几何学院
- 批准号:
2401164 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
Collaborative Research: Ionospheric Density Response to American Solar Eclipses Using Coordinated Radio Observations with Modeling Support
合作研究:利用协调射电观测和建模支持对美国日食的电离层密度响应
- 批准号:
2412294 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant
Conference: Doctoral Consortium at Student Research Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
会议:计算语言学协会 (NAACL) 北美分会年会学生研究研讨会上的博士联盟
- 批准号:
2415059 - 财政年份:2024
- 资助金额:
$ 21.19万 - 项目类别:
Standard Grant