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Ma C, Li X, Mao N, Wang M, Cui C, Jia H, Liu X, Sun Q. Semi-invasive wearable clinic: Solution-processed smart microneedle electronics for next-generation integrated diagnosis and treatment. Biosens Bioelectron 2024; 260:116427. [PMID: 38823368 DOI: 10.1016/j.bios.2024.116427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/16/2024] [Accepted: 05/23/2024] [Indexed: 06/03/2024]
Abstract
The integrated smart electronics for real-time monitoring and personalized therapy of disease-related analytes have been gradually gaining tremendous attention. However, human tissue barriers, including the skin barrier and brain-blood barrier, pose significant challenges for effective biomarker detection and drug delivery. Microneedle (MN) electronics present a promising solution to overcome these tissue barriers due to their semi-invasive structures, enabling effective drug delivery and target-analyte detection without compromising the tissue configuration. Furthermore, MNs can be fabricated through solution processing, facilitating large-scale manufacturing. This review provides a comprehensive summary of the recent three-year advancements in smart MNs development, categorized as follows. First, the solution-processed technology for MNs is introduced, with a focus on various printing technologies. Subsequently, smart MNs designed for sensing, drug delivery, and integrated systems combining diagnosis and treatment are separately summarized. Finally, the prospective and promising applications of next-generation MNs within mediated diagnosis and treatment systems are discussed.
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Affiliation(s)
- Chao Ma
- School of Materials Science and Engineering, Zhengzhou Key Laboratory of Flexible Electronic Materials and Thin-Film Technologies, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaomeng Li
- National Center for International Joint Research of Micro-nano Molding Technology, School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Ning Mao
- School of Materials Science and Engineering, Zhengzhou Key Laboratory of Flexible Electronic Materials and Thin-Film Technologies, Zhengzhou University, Zhengzhou 450001, China
| | - Mengwei Wang
- School of Materials Science and Engineering, Zhengzhou Key Laboratory of Flexible Electronic Materials and Thin-Film Technologies, Zhengzhou University, Zhengzhou 450001, China
| | - Cancan Cui
- School of Materials Science and Engineering, Zhengzhou Key Laboratory of Flexible Electronic Materials and Thin-Film Technologies, Zhengzhou University, Zhengzhou 450001, China
| | - Hanyu Jia
- School of Materials Science and Engineering, Zhengzhou Key Laboratory of Flexible Electronic Materials and Thin-Film Technologies, Zhengzhou University, Zhengzhou 450001, China
| | - Xuying Liu
- School of Materials Science and Engineering, Zhengzhou Key Laboratory of Flexible Electronic Materials and Thin-Film Technologies, Zhengzhou University, Zhengzhou 450001, China
| | - Qingqing Sun
- School of Materials Science and Engineering, Zhengzhou Key Laboratory of Flexible Electronic Materials and Thin-Film Technologies, Zhengzhou University, Zhengzhou 450001, China.
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Yang G, Xu W, Xu B, Yang Y, Li P, Yu A, Ning S, Fu Q, Zhang R, Liu X. Two Decades' advancements and Research trends in needle-type Sensor technology: A scientometric analysis. Heliyon 2024; 10:e27399. [PMID: 38510014 PMCID: PMC10951530 DOI: 10.1016/j.heliyon.2024.e27399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/22/2024] Open
Abstract
Needle-type sensor, characterized by its slender, elongated shape, is a promising sensing method due to its rapid response, high sensitivity, and portability. Recently, the needle-type sensor technology has garnered increasing attention, leading to its accelerated development and extensive use in medical and healthcare, environmental monitoring, and geosciences. However, there remains a need for a comprehensive review of existing research. Here, we utilize scientometric analysis, which is booming recently, to conduct a comprehensive investigation of the needle-type sensor field. This analysis covers various aspects, including annual trends, journals, institutions, countries, disciplines, authors, references, and keywords of 136,667 publications from the Web of Science Core Collection (WoSCC) database spanning from January 1, 2004, to January 1, 2024. Additionally, we identify current hotspots, frontiers, and predict future trends. Eventually, three research hotspots are refined: multidisciplinary materials science, sensor miniaturization and integration, and biomedical engineering, indicating that further investigations may focus on creating biocompatible materials to enhance sensing properties, optimizing sensor structure through miniaturization and integration methods, and improving clinical applications in biomedical engineering. This work may facilitate the development of needle-type sensors.
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Affiliation(s)
- Guangyi Yang
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Wenjing Xu
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Botan Xu
- School of Nursing, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Yi Yang
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Pengwei Li
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Aotian Yu
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Simin Ning
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Qixuan Fu
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Rong Zhang
- The Third Clinical Medical College, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Xiaohan Liu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing 102488, China
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Chen K, Zhao Y, Zhao W, Mao X, Li D, Wang Y, Shang S, Zhang H. Lubricating Microneedles System with Multistage Sustained Drug Delivery for the Treatment of Osteoarthritis. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2307281. [PMID: 38225701 DOI: 10.1002/smll.202307281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/31/2023] [Indexed: 01/17/2024]
Abstract
Osteoarthritis (OA) is a typical joint degenerative disease that is prevalent worldwide and significantly affects the normal activities of patients. Traditional treatments using diclofenac (DCF) as an anti-inflammatory drug by oral administration and transdermal delivery have many inherent deficiencies. In this study, a lubricating microneedles (MNs) system for the treatment of osteoarthritis with multistage sustained drug delivery and great reduction in skin damage during MNs penetration is developed. The bilayer dissolvable MNs system, namely HA-DCF@PDMPC, is prepared by designating the composite material of hyaluronic acid (HA) and covalently conjugated drug compound (HA-DCF) as the MNs tips and then modifying the surface of MNs tips with a self-adhesive lubricating copolymer (PDMPC). The MNs system is designed to achieve sustained drug release of DCF via ester bond hydrolysis, physical diffusion from MNs tips, and breakthrough of lubrication coating. Additionally, skin damage is reduced due to the presence of the lubrication coating on the superficial surface. Therefore, the lubricating MNs with multistage sustained drug delivery show good compliance as a transdermal patch for OA treatment, which is validated from anti-inflammatory cell tests and therapeutic animal experiments, down-regulating the expression levels of pro-inflammatory factors and alleviating articular cartilage destruction.
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Affiliation(s)
- Kexin Chen
- Center of Digital Dentistry/Department of Prosthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, 100081, China
- School of Nursing, Peaking of University, Beijing, 100191, China
| | - Yanlong Zhao
- State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
| | - Weiwei Zhao
- Department of Biomaterials, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Shandong Provincial Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Xiaowei Mao
- State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
| | - Dan Li
- School of Nursing, Peaking of University, Beijing, 100191, China
| | - Yuguang Wang
- Center of Digital Dentistry/Department of Prosthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, 100081, China
| | - Shaomei Shang
- School of Nursing, Peaking of University, Beijing, 100191, China
| | - Hongyu Zhang
- State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
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Xu Z, Mo F, Yang G, Fan P, Lu B, Liang W, Kong F, Jing L, Xu W, Liu J, Wang M, Wu Y, Cai X. Impaired Spatial Firing Representations of Neurons in the Medial Entorhinal Cortex of the Epileptic Rat Using Microelectrode Arrays. RESEARCH (WASHINGTON, D.C.) 2023; 6:0229. [PMID: 37719050 PMCID: PMC10503993 DOI: 10.34133/research.0229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 08/28/2023] [Indexed: 09/19/2023]
Abstract
Epilepsy severely impairs the cognitive behavior of patients. It remains unclear whether epilepsy-induced cognitive impairment is associated with neuronal activities in the medial entorhinal cortex (MEC), a region known for its involvement in spatial cognition. To explore this neural mechanism, we recorded the spikes and local field potentials from MEC neurons in lithium-pilocarpine-induced epileptic rats using self-designed microelectrode arrays. Through the open field test, we identified spatial cells exhibiting spatially selective firing properties and assessed their spatial representations in relation to the progression of epilepsy. Meanwhile, we analyzed theta oscillations and theta modulation in both excitatory and inhibitory neurons. Furthermore, we used a novel object recognition test to evaluate changes in spatial cognitive ability of epileptic rats. After the epilepsy modeling, the spatial tuning of various types of spatial cells had suffered a rapid and pronounced damage during the latent period (1 to 5 d). Subsequently, the firing characteristics and theta oscillations were impaired. In the chronic period (>10 d), the performance in the novel object experiment deteriorated. In conclusion, our study demonstrates the detrimental effect on spatial representations and electrophysiological properties of MEC neurons in the epileptic latency, suggesting the potential use of these changes as a "functional biomarker" for predicting cognitive impairment caused by epilepsy.
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Affiliation(s)
- Zhaojie Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fan Mo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Gucheng Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Penghui Fan
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Botao Lu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Liang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fanli Kong
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Luyi Jing
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Juntao Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mixia Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yirong Wu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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