1.Progress on ultrasound-responsive piezoelectric drug delivery system for treatment of neurodegenerative diseases.
Journal of Zhejiang University. Medical sciences 2025;54(4):522-528
Ultrasound has emerged as a non-invasive neural modulation technique. Its mechanisms of action in the brain involve mechanical, cavitation, and thermal effects, which modulate neural activity by activating mechanosensitive ion channels, enhancing cell permeability, and improving blood circulation. The ultrasound-piezo-electric systems, based on the coupling between ultrasound and piezoelectric materials, can generate wireless electrical stimulation to promote neural repair, significantly improving therapeutic outcomes for neurodegenerative diseases and showing potential as a replacement for traditional invasive deep brain stimulation techniques. The ultrasound-responsive piezoelectric drug delivery system combines mechano-electrical conversion capability of piezoelectric materials with the non-invasive penetration advantage of ultrasound. This system achieves synergistic therapeutic effects for neurodegenerative diseases through on-demand drug release and wireless electrical stimulation in deep brain regions. It can effectively overcome the blood-brain barrier limitation, enabling precisely targeted drug delivery to specific brain regions. Simultaneously, it generates electrical stimulation in deep brain areas to exert synergistic neuroreparative effects. Together, these capabilities provide a more precise, efficient, and safe solution for treating neurodegenerative diseases. This review summarizes the neural regulatory mechanisms, technical advantages, and research progress of the ultrasound-responsive piezoelectric drug delivery systems for neurodegenerative disease therapy, aiming to offer novel insights for the field.
Humans
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Neurodegenerative Diseases/drug therapy*
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Drug Delivery Systems/methods*
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Blood-Brain Barrier
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Ultrasonic Waves
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Brain
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Ultrasonic Therapy
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Deep Brain Stimulation/methods*
2.Auto recognizing critical values from medical image examination reports by using regular expressions
Rongjie CAI ; Dapeng LI ; Fangyuan QIN ; Jingjing HUANG ; Xiaoyan YANG ; Lipeng MA
Journal of Practical Radiology 2018;34(3):444-446
Objective To introduce a method of automatically identifying critical values from medical image examination reports and prompt the physician to report it,to prevent the omission of the critical value reporting and improve the medical quality.Methods According to the requirement of critical value reporting system,regular expressions were made for each emergency situation of medical image examination,in order to form a critical value feature library.And an algorithm was designed to find critical value and prompt doctors automatically.Results According to this method,the critical value auto recognize software was developed and had been tested in Nanfang Hospital for 6 months.The software ran well.Conclusion Using regular expressions to define a criteria value feature library and design an algorithm of identifying criteria values,can recognize critical values and prompt physician automatically.
3.Prevalence trend of human brucellosis in Qinghai Province from 2000 to 2012
Liqing XU ; Zhijun ZHAO ; Li MA ; Chao LI ; Xuxin YANG ; Guiying HU ; Rongjie WEI ; Ya'nan LI ; Qiang LI
Chinese Journal of Endemiology 2016;(1):51-53
Objective By summing up monitoring data of human brucellosis in Qinghai Province from 2000 to 2012, to evaluate epidemiological dynamics and analyze prevalence trend. Method Monitoring data of human brucellosis in Qinghai Province from 2000 to 2012 were collected, epidemiological characteristics including prevalence condition, area and population distribution were analyzed by descriptive epidemiology method. Results Totally 38 578 persons were examined from 2000 to 2012. The number of persons infected with brucellosis was 1 209, the infection rate was 3.34%;the number of patients diagnosed with human brucellosis was 344, the prevalence rate was 0.89%. New cases had occurred since 2006, and there were 158 new cases diagnosed with brucellosis. The prevalence rates in cities and areas of agriculture and pasture were 2.93%(78/2 663), 1.18%(33/2 806) and 0.70%(233/33 109), respectively. The ages of developing brucellosis ranged from 10 to 72 years old. The prevalence rates of biological pharmaceutical producers and the herdsman were [18.13%(196/1 081)] and [6.13%(353/5 763)], respectively. The prevalence rate of human brucellosis in Han nation was the highest [4.61%(467/10 140)], followed by Tibet [3.60%(443/12 318)], Mongolia [2.53%(211/8 342)], Tu [2.22%(110/4 953)] and Hui [2.09%(59/2 825)], and the differences were statistically significant (χ2 = 102.493, P < 0.01). Conclusion The prevalence state of human brucellosis in Qinghai Province is in a increasing trend, and new cases are increasing.
4.Spatial distribution of brucellosis in Qinghai Province from 2011 to 2013
Liqing XU ; Rongjie WEI ; Li MA ; Xuxin YANG
Chinese Journal of Endemiology 2016;35(4):269-271
Objective To reflect the spatial distribution of brucellosis among 7 counties in Qinghai Province from 2011 to 2013 with Geographic Information System (GIS) map.Method Epidemiological situations were overlay analyzed in infectious rate and prevalence rate with QHEndemic-GIS and SPSS 17.0 by statistics and mapping.Results Brucellosis was detected in 7 counties through the spatial distribution map.The infectious rate and prevalence rate of brucellosis were showing a phenomenon of high and low alternation in 3 years;meanwhile the prevalence in Gonghe County showed an obviously upward trend with the rates of 0.50% (1/201),1.50% (3/200),and 3.73% (9/241),respectively.Conclusions GIS could reflect the state of brucellosis infection directly and correctly.Prevalence of brucellosis in the 7 counties has showed a sporadic phenomenon,and the prevalence of brucellosis has covered a wide region and many populations are at risk of this disease.The prevalence has showed an up-ward trend in these regions,which provides a scientific basis for prevention and control of brucellosis in these key regions.

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