by Vanderbilt University

Credit: Vanderbilt University

Xiaoguang Dong, assistant professor of mechanical engineering at Vanderbilt University, is leading a team of researchers that has developed a system of artificial cilia capable of monitoring mucus conditions in human airways to better detect infection, airway obstruction, or the severity of diseases like cystic fibrosis (CF), chronic obstructive pulmonary diseases (COPD) and lung cancer.

The paper, titled “Sensory Artificial Cilia for In Situ Monitoring of Airway Physiological Properties,” is published in the journal Proceedings of the National Academy of Sciences.

In their paper, the researchers noted that continuously monitoring human airway conditions is crucial for timely interventions, especially when airway stents are implanted to alleviate central airway obstruction in lung cancer and other diseases.

In particular, mucus conditions offer important biomarkers for indicating inflammation and stent patency but remain challenging to monitor. Current methods—reliant on computational tomography imaging and bronchoscope inspection—pose risks due to radiation and lack the ability to provide continuous real-time feedback outside of hospitals.

Mimicking the sensing ability of biological cilia, Dong and his team developed novel technology for detecting mucus conditions, including viscosity and layer thickness, which are crucial biomarkers for disease severity.

“The sensing mechanism for mucus viscosity leverages external magnetic fields to actuate a magnetic artificial cilium and sense its shape using a flexible strain-gauge,” the researchers wrote. “Additionally, we report an artificial cilium with capacitance sensing for mucus layer thickness, offering unique self-calibration, adjustable sensitivity, and range, all enabled by external magnetic fields generated by a wearable magnetic actuation system.”

The researchers tested the method by deploying the sensors independently or in conjunction with an airway stent within an artificial trachea and sheep trachea. Sensing signals are transferred wirelessly to a smart phone or the cloud for further data analysis and disease diagnosis.

“The proposed sensing mechanisms and devices pave the way for real-time monitoring of mucus conditions, facilitating early disease detection and providing stent patency alerts, thereby allowing timely interventions and personalized care,” according to the study.

More information: Yusheng Wang et al, Sensory artificial cilia for in situ monitoring of airway physiological properties, Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2412086121

Journal information:Proceedings of the National Academy of Sciences

Provided by Vanderbilt University

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