Conscious ambulatory bladder monitoring to understand neural control of lower urinary tract function

有意识的动态膀胱监测以了解下尿路功能的神经控制

• 批准号: 10459673
• 负责人: DENNIS BOURBEAU
• 金额: $ 27.49万
• 依托单位: CLEVELAND CLINIC LERNER COM-CWRU
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10459673
• 关键词: Conscious; ambulatory; bladder; monitoring; understand

ABSTRACT Mechanisms underlying neural control of the lower urinary tract (LUT) in health and disease, including mechanisms of pathology development, are not well understood. New neurophysiology experiments to address knowledge gaps are being conducted in awake, behaving animals, rather than under anesthesia, but monitoring bladder function during chronic experiments remains a challenge. Current technologies can be used to wirelessly monitor bladder pressure via a surgically placed suprapubic catheter, but these technologies are limited because they do not measure bladder volume, which is an important variable; the catheter may irritate the bladder and confound the data; the receiver coil is not portable, which requires the animal to remain in a confined space for data collection; and the technology does not scale up to future human applications. A wireless, catheter-free bladder pressure and volume sensor is needed for chronic experiments in awake, behaving animals or humans to elucidate the neurophysiology of LUT function in health and disease. We have developed a prototype for a small, wireless, catheter-free pressure transducer that is rechargeable and can transmit continuous pressure data. We are building on this success by adding volume sensing and modifying the packaging for intravesical bladder placement. This new device, the Urological Monitor of Conscious Activity (UroMOCA), will be able to continuously measure and wirelessly transmit pressure and volume data from within the bladder to a small, wearable receiver unit. We have tested a potential packaging form factor in an animal bladder to demonstrate that it is not voided, nor does it obstruct bladder emptying. We have also tested an electrical conductance method of estimating volume wherein a very small current is passed between two outer electrodes and voltage is measured between two inner electrodes within the urine contained in the bladder, which we use to determine conductance from Ohm’s Law. By knowing the conductance, the conductivity of the urine, and the spacing between our electrodes, we were able to estimate bladder volume and this method can be incorporated into the UroMOCA. The goal of this proposal is to develop and validate the UroMOCA. The central hypothesis of this research is that the UroMOCA will wirelessly provide accurate bladder pressure and volume measurements for future neurophysiology experiments as validated by standard urodynamics tools and testing in conscious ambulating animals. The objectives of the proposed work are to (1) develop the UroMOCA for intravesical pressure and volume measurements by adding volume measurement to our previous design and repackaging the device into a new form factor and (2) validating the biocompatibility and function of the device by testing in acute nonsurvival and chronic ambulatory animal experiments. Completion of the proposed research will provide an important tool, which could be used in conjunction with nerve, electrocardiogram, electromyography or other recordings, for use by investigators studying the neural control of the lower urinary tract during conscious ambulatory experiments. It will also inform the design of next generation neuromodulation therapies to improve or restore LUT function, such as by providing closed-loop LUT control.

摘要

项目成果

High-density neural recordings from feline sacral dorsal root ganglia with thin-film array

使用薄膜阵列对猫骶骨背根神经节进行高密度神经记录

• DOI: 10.1088/1741-2552/abe398
• 发表时间: 2021
• 期刊: Journal of Neural Engineering
• 影响因子: 4
• 作者: Sperry, Zachariah J;Na, Kyounghwan;Jun, James;Madden, Lauren R;Socha, Alec;Yoon, Eusik;Seymour, John P;Bruns, Tim M
• 通讯作者: Bruns, Tim M

A Conductance-Based Sensor to Estimate Bladder Volume in Felines.

一种基于电导的传感器来估计猫科动物的膀胱体积。

• DOI: 10.1109/embc.2018.8512582
• 发表时间: 2018
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: McAdams,IanS;Majerus,SteveJA;Hanzlicek,Brett;Zorman,Christian;Bourbeau,Dennis;Damaser,MargotS
• 通讯作者: Damaser,MargotS

Sensors Selection for Continuous Monitoring of Bowel State and Activity.

用于连续监测肠道状态和活动的传感器选择。

• DOI: 10.1109/embc.2018.8512948
• 发表时间: 2018
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Smiley,Aref;Majerus,SteveJA;McAdams,IanS;Hanzlicek,Brett;Bourbeau,Dennis;Damaser,MargotS
• 通讯作者: Damaser,MargotS

Low-cost, Implantable Wireless Sensor Platform for Neuromodulation Research.

用于神经调节研究的低成本、植入式无线传感器平台。

• DOI: 10.1109/biocas.2018.8584729
• 发表时间: 2018
• 期刊: IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference
• 作者: McAdams,Ian;Kenyon,Hannah;Bourbeau,Dennis;Damaser,MargotS;Zorman,Christian;Majerus,SteveJA
• 通讯作者: Majerus,SteveJA

Wireless and Catheter-Free Bladder Pressure and Volume Sensor.

无线、无导管膀胱压力和容量传感器。

• DOI: 10.1109/jsen.2023.3267749
• 发表时间: 2024
• 期刊: IEEE sensors journal
• 影响因子: 4.3
• 作者: Majerus,SteveJA;Hanzlicek,Brett;Hacohen,Yaneev;Cabal,Dario;Bourbeau,Dennis;Damaser,MargotS
• 通讯作者: Damaser,MargotS