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Chen J, Ho WKH, Yin B, Zhang Q, Li C, Yan J, Huang Y, Hao J, Yi C, Zhang Y, Wong SHD, Yang M. Magnetic-responsive upconversion luminescence resonance energy transfer (LRET) biosensor for ultrasensitive detection of SARS-CoV-2 spike protein. Biosens Bioelectron 2024; 248:115969. [PMID: 38154329 DOI: 10.1016/j.bios.2023.115969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/08/2023] [Accepted: 12/22/2023] [Indexed: 12/30/2023]
Abstract
Upconversion nanoparticles (UCNPs) are ideal donors for luminescence resonance energy transfer (LRET)-based biosensors due to their excellent upconversion luminescence properties. However, the relatively large size of antibodies and proteins limits the application of UCNPs-based LRET biosensors in protein detection because the large steric hindrance of proteins leads to low energy transfer efficiency between UCNPs and receptors. Herein, we developed a magnetic responsive UCNPs-based LRET biosensor to control the coupling distance between antibody-functionalized UCNPs (Ab-UCNPs) as donors and antibody-PEG linker-magnetic gold nanoparticles (Ab-PEG-MGNs) as acceptors for ultrasensitive and highly selective detection of SARS-CoV-2 spike proteins. Our results showed that this platform reversibly shortened the coupling distance between UCNPs and MGNs and enhanced the LRET signal with a 10-fold increase in the limit of detection (LOD) from 20.6 pg/mL without magnetic modulation to 2.1 pg/mL with magnetic modulation within 1 h. The finite-difference time-domain (FDTD) simulation with cyclic distance change confirmed the distance-dependent LRET efficiency under magnetic modulation, which supported the experimental results. Moreover, the applications of this magnetic-responsive UCNP-based LRET biosensor could be extended to other large-size biomolecule detection.
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Affiliation(s)
- Jiareng Chen
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Willis Kwun Hei Ho
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Bohan Yin
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Qin Zhang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Chuanqi Li
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Jiaxiang Yan
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Yingying Huang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Jianhua Hao
- Department of Applied Physics, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments Guangdong, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Yu Zhang
- Department of Mechanical and Automotive Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC, 3000, Australia
| | - Siu Hong Dexter Wong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China.
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China.
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2
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Zheng K, Pan J, Yu Z, Yi C, Li MJ. Corrigendum to "A smartphone-assisted electrochemiluminescent detection of miRNA-21 in situ using Ru(bpy) 32+@MOF" [Talanta 258 (2024)125310]. Talanta 2024; 269:125468. [PMID: 38048678 DOI: 10.1016/j.talanta.2023.125468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/06/2023]
Affiliation(s)
- Kai Zheng
- Key Laboratory of Analysis and Detection Technology for Food Safety (Ministry of Education and Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, China
| | - Jiangfei Pan
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Zipei Yu
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China; Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen, 518057, China.
| | - Mei-Jin Li
- Key Laboratory of Analysis and Detection Technology for Food Safety (Ministry of Education and Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, China.
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Zheng K, Pan J, Yu Z, Yi C, Li MJ. A smartphone-assisted electrochemiluminescent detection of miRNA-21 in situ using Ru(bpy) 32+@MOF. Talanta 2024; 268:125310. [PMID: 37866303 DOI: 10.1016/j.talanta.2023.125310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/08/2023] [Accepted: 10/13/2023] [Indexed: 10/24/2023]
Abstract
We have proposed a signal dual-amplification electrochemiluminescence (ECL) strategy based on tris(2,2'-bipyridyl)ruthenium(II) (Ru(bpy)32+) as chromophores confined with three-dimensional (3D) zinc oxalate metal-organic frameworks (Ru(bpy)32+@MOFs) for the detection of miRNA-21. The three-dimensional chromophore connectivity in zinc oxalate MOFs provided a network among Ru(bpy)32+ units, shielding the chromophores from solvent molecules and resulting in high Ru(II) complex emission efficiency. Additionally, we discovered that magnetic beads (MBs) used as carrier for enriched signals contribute to enhanced ECL intensity of the chromophore. To evaluate its clinical application, we applied this method to determine the concentration of miRNA-21 solutions ranging from 1.56 to 100 nM, obtaining a calibration curve of ECL intensity versus logarithm of concentration (logC) of miRNA-21 with a high correlation coefficient. This work demonstrates the construction of a signal amplification strategy ECL biosensor for miRNA using Ru(bpy)32+@MOF systems and its application in ECL detection for analyte methodology.
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Affiliation(s)
- Kai Zheng
- Key Laboratory of Analysis and Detection Technology for Food Safety (Ministry of Education and Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, China
| | - Jiangfei Pan
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Zipei Yu
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China; Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen, 518057, China.
| | - Mei-Jin Li
- Key Laboratory of Analysis and Detection Technology for Food Safety (Ministry of Education and Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, China.
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Berkhout JB, Poormoghadam D, Yi C, Kalsbeek A, Meijer OC, Mahfouz A. An integrated single-cell RNA-seq atlas of the mouse hypothalamic paraventricular nucleus links transcriptomic and functional types. J Neuroendocrinol 2024; 36:e13367. [PMID: 38281730 DOI: 10.1111/jne.13367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 11/30/2023] [Accepted: 12/30/2023] [Indexed: 01/30/2024]
Abstract
The hypothalamic paraventricular nucleus (PVN) is a highly complex brain region that is crucial for homeostatic regulation through neuroendocrine signaling, outflow of the autonomic nervous system, and projections to other brain areas. In the past years, single-cell datasets of the hypothalamus have contributed immensely to the current understanding of the diverse hypothalamic cellular composition. While the PVN has been adequately classified functionally, its molecular classification is currently still insufficient. To address this, we created a detailed atlas of PVN transcriptomic cell types by integrating various PVN single-cell datasets into a recently published hypothalamus single-cell transcriptome atlas. Furthermore, we functionally profiled transcriptomic cell types, based on relevant literature, existing retrograde tracing data, and existing single-cell data of a PVN-projection target region. Finally, we validated our findings with immunofluorescent stainings. In our PVN atlas dataset, we identify the well-known different neuropeptide types, each composed of multiple novel subtypes. We identify Avp-Tac1, Avp-Th, Oxt-Foxp1, Crh-Nr3c1, and Trh-Nfib as the most important neuroendocrine subtypes based on markers described in literature. To characterize the preautonomic functional population, we integrated a single-cell retrograde tracing study of spinally projecting preautonomic neurons into our PVN atlas. We identify these (presympathetic) neurons to cocluster with the Adarb2+ clusters in our dataset. Further, we identify the expression of receptors for Crh, Oxt, Penk, Sst, and Trh in the dorsal motor nucleus of the vagus, a key region that the pre-parasympathetic PVN neurons project to. Finally, we identify Trh-Ucn3 and Brs3-Adarb2 as some centrally projecting populations. In conclusion, our study presents a detailed overview of the transcriptomic cell types of the murine PVN and provides a first attempt to resolve functionality for the identified populations.
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Affiliation(s)
- J B Berkhout
- Division of Endocrinology, Department of Medicine, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - D Poormoghadam
- Laboratory of Endocrinology, Department of Laboratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - C Yi
- Laboratory of Endocrinology, Department of Laboratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - A Kalsbeek
- Laboratory of Endocrinology, Department of Laboratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - O C Meijer
- Division of Endocrinology, Department of Medicine, Leiden University Medical Centre, Leiden, The Netherlands
| | - A Mahfouz
- Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
- Division of Pattern Recognition and Bioinformatics, Department of Intelligent Systems, Technical University Delft, Delft, The Netherlands
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Xu N, Xiao M, Yu Z, Jin B, Yang M, Yi C. On-site quantitation of xanthine in fish and serum using a smartphone-based spectrophotometer integrated with a dual-readout nanosensing assay. Food Chem 2024; 431:137107. [PMID: 37562333 DOI: 10.1016/j.foodchem.2023.137107] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 08/12/2023]
Abstract
Rapid and quantitative biochemical analysis at points-of-need is imperative for food safety inspection. This work reports on: 1) a stand-alone smartphone-based "two-in-one" spectrophotometer (the SAFS) installed with a self-developed application (the SAFS-App) which can precisely collect both absorption spectra and fluorescence spectra in a reproducible manner within 5 s; and 2) a straightforward protocol for xanthine detection using fluorescent carbon nanodots and silver nanoparticles. The assay performed with the SAFS demonstrates high specificity towards xanthine, and a linear range of 1-60 μM with LODs of 0.38 and 0.58 μM for colorimetric and fluorometric readouts, respectively. The reliability and robustness of the SAFS are validated by on-site quantitation of xanthine in fish and serum samples, with comparable accuracy to HPLC method. More importantly, the SAFS presents itself as an appealing device which is accessible to everyone through the Internet of Things and can be tailored for diverse point-of-care testing applications.
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Affiliation(s)
- Ningxia Xu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China; Department of Medical Equipment, Hospital of Jiangxi University of Traditional Chinese Medicine (Jiangxi Provincial Hospital of Traditional Chinese Medicine), Nanchang, Jiangxi 330000, China
| | - Meng Xiao
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China; Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Zipei Yu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China
| | - Baohui Jin
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518033, China
| | - Mengsu Yang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Changqing Yi
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China; Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen 518057, China.
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Liu C, Gong X, Yang X, Yu Z, Li W, Liao G, Lin C, Jiang L, Yi C. Development of enzyme-inorganic hybrid nanoflower-modified electrodes and a smartphone-controlled electrochemical analyzer for point-of-care testing of salivary amylase in saliva. Nanoscale 2023; 16:212-222. [PMID: 38051227 DOI: 10.1039/d3nr04388f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Quantitation of salivary alpha-amylase (sAA) plays a significant role in not only theoretical studies but also clinical practice. This study reports a quantitative point-of-care testing (POCT) system for sAA quantitation anywhere, anytime and by anyone, which consists of customized electrodes and a smartphone-controlled electrochemical analyzer. Organic-inorganic hybrid nanoflowers (NFs) encapsulating α-glucosidase (AG) and glucose dehydrogenase (GDH) have been synthesized and modified onto screen-printed electrodes (SPCEs) to fabricate the customized electrodes. The SPCEs integrated with the smartphone-controlled electrochemical analyzer exhibit good analytical performance for sAA with a low detection limit of 5.02 U mL-1 and a wide dynamic range of 100-2000 U mL-1 using chronoamperometry. The reported POCT system has been successfully demonstrated for quantitation of sAA in clinical saliva samples, and the quantitation results correlated well with those of the Bernfeld method which is extensively used in clinics. More importantly, this study reveals the great potential of sAA as an early warning indicator of abnormal glucose metabolism in obese individuals. Considering the non-invasive saliva sampling process as well as the easy-to-use and cost-effectiveness features of this quantitative POCT system, quantitation of salivary sAA at home by laypersons might become an appealing choice for obese individuals to monitor their glucose metabolism status anytime.
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Affiliation(s)
- Cong Liu
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, PR China.
| | - Xia Gong
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, PR China.
| | - Xiao Yang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, PR China.
| | - Zipei Yu
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, PR China.
| | - Weihao Li
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, PR China.
| | - Guangyi Liao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, PR China.
| | - Chuanquan Lin
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, PR China.
| | - Lelun Jiang
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, PR China.
| | - Changqing Yi
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, PR China.
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Korshunov A, Hu H, Subires D, Jiang Y, Călugăru D, Feng X, Rajapitamahuni A, Yi C, Roychowdhury S, Vergniory MG, Strempfer J, Shekhar C, Vescovo E, Chernyshov D, Said AH, Bosak A, Felser C, Bernevig BA, Blanco-Canosa S. Softening of a flat phonon mode in the kagome ScV 6Sn 6. Nat Commun 2023; 14:6646. [PMID: 37863907 PMCID: PMC10589229 DOI: 10.1038/s41467-023-42186-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/29/2023] [Indexed: 10/22/2023] Open
Abstract
Geometrically frustrated kagome lattices are raising as novel platforms to engineer correlated topological electron flat bands that are prominent to electronic instabilities. Here, we demonstrate a phonon softening at the kz = π plane in ScV6Sn6. The low energy longitudinal phonon collapses at ~98 K and q = [Formula: see text] due to the electron-phonon interaction, without the emergence of long-range charge order which sets in at a different propagation vector qCDW = [Formula: see text]. Theoretical calculations corroborate the experimental finding to indicate that the leading instability is located at [Formula: see text] of a rather flat mode. We relate the phonon renormalization to the orbital-resolved susceptibility of the trigonal Sn atoms and explain the approximately flat phonon dispersion. Our data report the first example of the collapse of a kagome bosonic mode and promote the 166 compounds of kagomes as primary candidates to explore correlated flat phonon-topological flat electron physics.
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Affiliation(s)
- A Korshunov
- European Synchrotron Radiation Facility (ESRF), BP 220, F-38043, Grenoble, France
| | - H Hu
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
| | - D Subires
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
| | - Y Jiang
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - D Călugăru
- Department of Physics, Princeton University, Princeton, NJ, 08544, USA
| | - X Feng
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - A Rajapitamahuni
- National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - C Yi
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - S Roychowdhury
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - M G Vergniory
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - J Strempfer
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, 60439, USA
| | - C Shekhar
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - E Vescovo
- National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - D Chernyshov
- Swiss-Norwegian BeamLines at European Synchrotron Radiation Facility, Grenoble, France
| | - A H Said
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, 60439, USA
| | - A Bosak
- European Synchrotron Radiation Facility (ESRF), BP 220, F-38043, Grenoble, France
| | - C Felser
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - B Andrei Bernevig
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain.
- Department of Physics, Princeton University, Princeton, NJ, 08544, USA.
- IKERBASQUE, Basque Foundation for Science, 48013, Bilbao, Spain.
| | - S Blanco-Canosa
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain.
- IKERBASQUE, Basque Foundation for Science, 48013, Bilbao, Spain.
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Chen X, Dai D, Ma J, Yu Z, Zhao J, Yi C. An MMP-2 Responsive Nanotheranostic Probe Enabled Synergistic Therapy of Rheumatoid Arthritis and MR/CT Assessment of Therapeutic Response In Situ. Adv Healthc Mater 2023; 12:e2300962. [PMID: 37499265 DOI: 10.1002/adhm.202300962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 06/21/2023] [Indexed: 07/29/2023]
Abstract
This study reports a facile and green synthesis of a new multifunctional nanotheranostic probe for the synergistic therapy of rheumatoid arthritis (RA) and in situ assessment of therapeutic response. The probe is synthesized through a one-step self-assembly of two exquisitely designed peptide-amphiphilic block copolymers (PEG-DTIPA-KGPLGVRK-MTX and Pal-GGGGHHHHD-TCZ) under mild conditions, requiring minimal energy input. The resultant probe demonstrates excellent biocompatibility, water solubility, and colloidal stability. It exhibits a strong IL-6R targeting ability toward inflamed joints, and releases drugs in an MMP-2-responsive manner. The co-loading of methotrexate(MTX) and tocilizumab (TCZ) into the probe enables synergistic RA therapy with improved efficacy by simultaneously decreasing the activity of adenosine synthetase and interfering with the binding of IL-6 to its receptor. In addition, the resultant probe exhibits a high r1 relaxation rate (7.00 mm-1 s-1 ) and X-ray absorption capability (69.04 Hu mm-1 ), enabling sensitive MR and CT dual-modal imaging for simultaneous evaluation of synovial thickness and bone erosion. Both in vitro experiments using lipopolysaccharide-treated RAW264.7 cells and in vivo experiments using collagen-induced arthritis mice demonstrate the probe's high effectiveness in synergistically inhibiting inflammation. This study provides new insights into RA theranostics, therapeutic monitoring, the design of multifunctional theranostic probes, and beyond.
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Affiliation(s)
- Xuan Chen
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, China
- The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China
| | - Deshen Dai
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Junping Ma
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Zipei Yu
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Junkai Zhao
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Changqing Yi
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510275, China
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Li W, Zhou Z, Zhou X, Khoo BL, Gunawan R, Chin YR, Zhang L, Yi C, Guan X, Yang M. 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor-on-a-Chip. Adv Healthc Mater 2023; 12:e2202609. [PMID: 36917657 DOI: 10.1002/adhm.202202609] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/22/2023] [Indexed: 03/16/2023]
Abstract
Decades of efforts in engineering in vitro cancer models have advanced drug discovery and the insight into cancer biology. However, the establishment of preclinical models that enable fully recapitulating the tumor microenvironment remains challenging owing to its intrinsic complexity. Recent progress in engineering techniques has allowed the development of a new generation of in vitro preclinical models that can recreate complex in vivo tumor microenvironments and accurately predict drug responses, including spheroids, organoids, and tumor-on-a-chip. These biomimetic 3D tumor models are of particular interest as they pave the way for better understanding of cancer biology and accelerating the development of new anticancer therapeutics with reducing animal use. Here, the recent advances in developing these in vitro platforms for cancer modeling and preclinical drug screening, focusing on incorporating hydrogels are reviewed to reconstitute physiologically relevant microenvironments. The combination of spheroids/organoids with microfluidic technologies is also highlighted to better mimic in vivo tumors and discuss the challenges and future directions in the clinical translation of such models for drug screening and personalized medicine.
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Affiliation(s)
- Wenxiu Li
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Zhihang Zhou
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
- Department of Gastroenterology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Xiaoyu Zhou
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Bee Luan Khoo
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Renardi Gunawan
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Y Rebecca Chin
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Liang Zhang
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Changqing Yi
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 518107, China
| | - Xinyuan Guan
- Department of Clinical Oncology, State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Mengsu Yang
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
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10
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Xiao M, Xu N, He A, Yu Z, Chen B, Jin B, Jiang L, Yi C. A smartphone-based fluorospectrophotometer and ratiometric fluorescence nanoprobe for on-site quantitation of pesticide residue. iScience 2023; 26:106553. [PMID: 37123231 PMCID: PMC10139973 DOI: 10.1016/j.isci.2023.106553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/11/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Cost-effective and user-friendly quantitation at points-of-need plays an important role in food safety inspection, environmental monitoring, and biomedical analysis. This study reports a stand-alone smartphone-based fluorospectrophotometer (the SBS) installed with a custom-designed application (the SBS-App) for on-site quantitation of pesticide using a ratiometric sensing scheme. The SBS can collect fluorescence emission spectra in the wavelength range of 380-760 nm within 5 s. A ratiometric fluorescence probe is facilely prepared by directly mixing the blue-emissive carbon nanodots (the Fe3+-specific fluorometric indicator) and red-emissive quantum dots (the internal standard) at a ratio of 11.6 (w/w). Based on the acetylcholinesterase/choline oxidase dual enzyme-mediated cascade catalytic reactions of Fe2+/Fe3+ transformation, a ratiometric fluorescence sensing scheme is developed. The practicability of the SBS is validated by on-site quantitation of chlorpyrifos in apple and cabbage with a comparable accuracy to the GC-MS method, offering a scalable solution to establish a cost-effective surveillance system for pesticide pollution.
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Affiliation(s)
- Meng Xiao
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Ningxia Xu
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
| | - Aitong He
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
| | - Zipei Yu
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
| | - Bo Chen
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518033, China
| | - Baohui Jin
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518033, China
| | - Lelun Jiang
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
| | - Changqing Yi
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
- Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen 518057, China
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Yang J, Gong X, Chen S, Zheng Y, Peng L, Liu B, Chen Z, Xie X, Yi C, Jiang L. Development of Smartphone-Controlled and Microneedle-Based Wearable Continuous Glucose Monitoring System for Home-Care Diabetes Management. ACS Sens 2023; 8:1241-1251. [PMID: 36821704 DOI: 10.1021/acssensors.2c02635] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Continuous glucose monitoring (CGM) can mini-invasively track blood glucose fluctuation and reduce the risk of hyperglycemia and hypoglycemia, and this is is in great demand for diabetes management. However, cost-effective manufacture of CGM systems with continuously improved convenience and performance is still the persistent goal. Herein, we developed a smartphone-controlled and microneedle (MN)-based wearable CGM system for long-term glucose monitoring. The CGM system modified with a sandwich-type enzyme immobilization strategy can satisfy the clinical requirement of interstitial fluid (ISF) glucose monitoring for 14 days with a mean absolute relative difference of 10.2% and a cost of less than $15, which correlated well with the commercial glucometer and FDA-approved CGM system FreeStyle Libre (Abbott Inc., Illinois, USA). The self-developed CGM system is demonstrated to accurately monitor glucose fluctuations and provide abundant clinical information. It is better to find the cause of individual blood glucose changes and beneficial for the guide of precise glucose control. On the whole, the intelligently wearable CGM system may provide an alternative solution for home-care diabetes management.
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Affiliation(s)
- Jian Yang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
| | - Xia Gong
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
| | - Shuijin Chen
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
| | - Ying Zheng
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
| | - Lelun Peng
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
| | - Bin Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
| | - Zhipeng Chen
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
| | - Xi Xie
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, P. R. China
| | - Changqing Yi
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
- Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen 518057, P. R. China
| | - Lelun Jiang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, P. R. China
- Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen 518057, P. R. China
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Cai C, Tian F, Ma J, Yu Z, Yang M, Yi C. BSA-templated synthesis of Ir/Gd bimetallic oxide nanotheranostics for MR/CT imaging-guided photothermal and photodynamic synergistic therapy. Nanoscale 2023; 15:4457-4468. [PMID: 36752324 DOI: 10.1039/d2nr06306a] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Precision medicine urges the development of theranostics which can efficiently integrate precise diagnosis and effective therapy. In this study, a facile synthesis of Ir/Gd bimetallic oxide nanotheranostics (termed BSA@Gd2O3/IrO2 NPs) with good biocompatibility was demonstrated using a biomineralization method where bovine serum albumin (BSA) served as a versatile template. BSA@Gd2O3/IrO2 NPs exhibited high longitudinal relaxivity (5.2 mM-1 s-1) and X-ray absorption capability (14.5 Hu mM-1), illustrating them to be a good contrast agent for magnetic resonance (MR) and computed tomography (CT) dual-modal imaging. Moreover, BSA@Gd2O3/IrO2 NPs can act as not only a photothermal conversion agent with ultrahigh efficiency (66.7%) as well as a good photosensitizer, but also an effective catalase to decompose endogenous H2O2 to produce O2, thus relieving hypoxia and enhancing the phototherapeutic effect. Both in vitro and in vivo experiments demonstrated the high effectiveness of BSA@Gd2O3/IrO2 NPs in MR/CT dual-modal imaging and photothermal and photodynamic synergistic tumor treatments. This work sheds new light on the development of versatile nanotheranostic systems using mild and robust biomineralization methods.
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Affiliation(s)
- Chao Cai
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen Campus, 518107, China.
| | - Feng Tian
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Junping Ma
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen Campus, 518107, China.
| | - Zipei Yu
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen Campus, 518107, China.
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Changqing Yi
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen Campus, 518107, China.
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Xia S, Pan J, Dai D, Dai Z, Yang M, Yi C. Design of portable electrochemiluminescence sensing systems for point-of-care-testing applications. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.107799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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14
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Yin B, Zhang Q, Xia X, Li C, Ho WKH, Yan J, Huang Y, Wu H, Wang P, Yi C, Hao J, Wang J, Chen H, Wong SHD, Yang M. A CRISPR-Cas12a integrated SERS nanoplatform with chimeric DNA/RNA hairpin guide for ultrasensitive nucleic acid detection. Am J Cancer Res 2022; 12:5914-5930. [PMID: 35966585 PMCID: PMC9373821 DOI: 10.7150/thno.75816] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 08/01/2022] [Indexed: 11/05/2022] Open
Abstract
Background: CRISPR-Cas12a has been integrated with nanomaterial-based optical techniques, such as surface-enhanced Raman scattering (SERS), to formulate a powerful amplification-free nucleic acid detection system. However, nanomaterials impose steric hindrance to limit the accessibility of CRISPR-Cas12a to the narrow gaps (SERS hot spots) among nanoparticles (NPs) for producing a significant change in signals after nucleic acid detection. Methods: To overcome this restriction, we specifically design chimeric DNA/RNA hairpins (displacers) that can be destabilized by activated CRISPR-Cas12a in the presence of target DNA, liberating excessive RNA that can disintegrate a core-satellite nanocluster via toehold-mediated strand displacement for orchestrating a promising "on-off" nucleic acid biosensor. The core-satellite nanocluster comprises a large gold nanoparticle (AuNP) core surrounded by small AuNPs with Raman tags via DNA hybridization as an ultrabright Raman reporter, and its disassembly leads to a drastic decrease of SERS intensity as signal readouts. We further introduce a magnetic core to the large AuNPs that can facilitate their separation from the disassembled nanostructures to suppress the background for improving detection sensitivity. Results: As a proof-of-concept study, our findings showed that the application of displacers was more effective in decreasing the SERS intensity of the system and attained a better limit of detection (LOD, 10 aM) than that by directly using activated CRISPR-Cas12a, with high selectivity and stability for nucleic acid detection. Introducing magnetic-responsive functionality to our system further improves the LOD to 1 aM. Conclusion: Our work not only offers a platform to sensitively and selectively probe nucleic acids without pre-amplification but also provides new insights into the design of the CRISPR-Cas12a/SERS integrated system to resolve the steric hindrance of nanomaterials for constructing biosensors.
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Affiliation(s)
- Bohan Yin
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Qin Zhang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Xinyue Xia
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
| | - Chuanqi Li
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Willis Kwun Hei Ho
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Jiaxiang Yan
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Yingying Huang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Honglian Wu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Pui Wang
- Department of Microbiology, The University of Hong Kong, Pokfulam, Hong Kong 999077, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, P. R. China
| | - Jianhua Hao
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Jianfang Wang
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
| | - Honglin Chen
- Department of Microbiology, The University of Hong Kong, Pokfulam, Hong Kong 999077, China
| | - Siu Hong Dexter Wong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China.,Research Institute for Sports Science and Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
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15
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Mu X, Zhang W, Yi C, Li MJ, Fu F. Colorimetric and Photoluminescent Probes Based on Iridium(III) Complexes for Highly Selective Detection of Homocysteine. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.134028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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16
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Xiao M, Tian F, Liu X, Zhou Q, Pan J, Luo Z, Yang M, Yi C. Virus Detection: From State-of-the-Art Laboratories to Smartphone-Based Point-of-Care Testing. Adv Sci (Weinh) 2022; 9:e2105904. [PMID: 35393791 PMCID: PMC9110880 DOI: 10.1002/advs.202105904] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 02/27/2022] [Indexed: 05/07/2023]
Abstract
Infectious virus outbreaks pose a significant challenge to public healthcare systems. Early and accurate virus diagnosis is critical to prevent the spread of the virus, especially when no specific vaccine or effective medicine is available. In clinics, the most commonly used viral detection methods are molecular techniques that involve the measurement of nucleic acids or proteins biomarkers. However, most clinic-based methods require complex infrastructure and expensive equipment, which are not suitable for low-resource settings. Over the past years, smartphone-based point-of-care testing (POCT) has rapidly emerged as a potential alternative to laboratory-based clinical diagnosis. This review summarizes the latest development of virus detection. First, laboratory-based and POCT-based viral diagnostic techniques are compared, both of which rely on immunosensing and nucleic acid detection. Then, various smartphone-based POCT diagnostic techniques, including optical biosensors, electrochemical biosensors, and other types of biosensors are discussed. Moreover, this review covers the development of smartphone-based POCT diagnostics for various viruses including COVID-19, Ebola, influenza, Zika, HIV, et al. Finally, the prospects and challenges of smartphone-based POCT diagnostics are discussed. It is believed that this review will aid researchers better understand the current challenges and prospects for achieving the ultimate goal of containing disease-causing viruses worldwide.
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Affiliation(s)
- Meng Xiao
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Feng Tian
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHunghomHong Kong999077P. R. China
| | - Xin Liu
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Qiaoqiao Zhou
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Jiangfei Pan
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Zhaofan Luo
- Department of Clinical LaboratoryThe Seventh Affiliated Hospital of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Mo Yang
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHunghomHong Kong999077P. R. China
| | - Changqing Yi
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
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17
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Yang J, Yang J, Gong X, Zheng Y, Yi S, Cheng Y, Li Y, Liu B, Xie X, Yi C, Jiang L. Recent Progress in Microneedles‐Mediated Diagnosis, Therapy, and Theranostic Systems (Adv. Healthcare Mater. 10/2022). Adv Healthc Mater 2022. [DOI: 10.1002/adhm.202270050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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18
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Yang J, Yang J, Gong X, Zheng Y, Yi S, Cheng Y, Li Y, Liu B, Xie X, Yi C, Jiang L. Recent Progress in Microneedles-Mediated Diagnosis, Therapy, and Theranostic Systems. Adv Healthc Mater 2022; 11:e2102547. [PMID: 35034429 DOI: 10.1002/adhm.202102547] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/04/2022] [Indexed: 02/06/2023]
Abstract
Theranostic system combined diagnostic and therapeutic modalities is critical for the real-time monitoring of disease-related biomarkers and personalized therapy. Microneedles, as a multifunctional platform, are promising for transdermal diagnostics and drug delivery. They have shown attractive properties including painless skin penetration, easy self-administration, prominent therapeutic effects, and good biosafety. Herein, an overview of the microneedles-based diagnosis, therapies, and theranostic systems is given. Four microneedles-based detection methods are concluded based on the sensing mechanism: i) electrochemistry, ii) fluorometric, iii) colorimetric, and iv) Raman methods. Additionally, robust microneedles are suitable for implantable drug delivery. Microneedles-assisted transdermal drug delivery can be primarily classified as passive, active, and responsive drug release, based on the release mechanisms. Microneedles-assisted oral and implantable drug delivery mechanisms are also presented in this review. Furthermore, the key frontier developments in microneedles-mediated theranostic systems as the major selling points are emphasized in this review. These systems are classified into open-loop and closed-loop theranostic systems based on the indirectness and directness of feedback between the transdermal diagnosis and therapy, respectively. Finally, conclusions and future perspectives for next-generation microneedles-mediated theranostic systems are also discussed. Taken together, microneedle-based systems are promising as the new avenue for diagnosis, therapy, and disease-specific closed-loop theranostic applications.
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Affiliation(s)
- Jian Yang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Jingbo Yang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Xia Gong
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Ying Zheng
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Shengzhu Yi
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Yanxiang Cheng
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Yanjun Li
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Bin Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
| | - Xi Xie
- State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat‐Sen University Guangzhou 510006 P. R. China
| | - Changqing Yi
- Research Institute of Sun Yat‐Sen University in Shenzhen Shenzhen 518057 P. R. China
| | - Lelun Jiang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Shenzhen Campus of Sun Yat‐Sen University Shenzhen 518107 P. R. China
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Yang J, Cheng Y, Gong X, Yi S, Li CW, Jiang L, Yi C. An integrative review on the applications of 3D printing in the field of in vitro diagnostics. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2021.08.105] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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20
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Zhang Q, Yin B, Hao J, Ma L, Huang Y, Shao X, Li C, Chu Z, Yi C, Wong SHD, Yang M. An AIEgen/graphene oxide nanocomposite (AIEgen@GO)-based two-stage "turn-on" nucleic acid biosensor for rapid detection of SARS-CoV-2 viral sequence. Aggregate (Hoboken) 2022; 4:e195. [PMID: 35539693 PMCID: PMC9073974 DOI: 10.1002/agt2.195] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/11/2022] [Accepted: 03/08/2022] [Indexed: 05/24/2023]
Abstract
The ongoing outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic has posed significant challenges in early viral diagnosis. Hence, it is urgently desirable to develop a rapid, inexpensive, and sensitive method to aid point-of-care SARS-CoV-2 detection. In this work, we report a highly sequence-specific biosensor based on nanocomposites with aggregation-induced emission luminogens (AIEgen)-labeled oligonucleotide probes on graphene oxide nanosheets (AIEgen@GO) for one step-detection of SARS-CoV-2-specific nucleic acid sequences (Orf1ab or N genes). A dual "turn-on" mechanism based on AIEgen@GO was established for viral nucleic acids detection. Here, the first-stage fluorescence recovery was due to dissociation of the AIEgen from GO surface in the presence of target viral nucleic acid, and the second-stage enhancement of AIE-based fluorescent signal was due to the formation of a nucleic acid duplex to restrict the intramolecular rotation of the AIEgen. Furthermore, the feasibility of our platform for diagnostic application was demonstrated by detecting SARS-CoV-2 virus plasmids containing both Orf1ab and N genes with rapid detection around 1 h and good sensitivity at pM level without amplification. Our platform shows great promise in assisting the initial rapid detection of the SARS-CoV-2 nucleic acid sequence before utilizing quantitative reverse transcription-polymerase chain reaction for second confirmation.
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Affiliation(s)
- Qin Zhang
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Bohan Yin
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Jianhua Hao
- Department of Applied PhysicsThe Hong Kong Polytechnic UniversityHong KongChina
| | - Linjie Ma
- Department of Electrical and Electronic EngineeringJoint Appointment with School of Biomedical SciencesThe University of Hong KongHong KongChina
| | - Yingying Huang
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Xueying Shao
- Department of Electrical and Electronic EngineeringJoint Appointment with School of Biomedical SciencesThe University of Hong KongHong KongChina
| | - Chuanqi Li
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Zhiqin Chu
- Department of Electrical and Electronic EngineeringJoint Appointment with School of Biomedical SciencesThe University of Hong KongHong KongChina
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province)School of Biomedical EngineeringSun Yat‐Sen UniversityGuangzhouPR China
| | - Siu Hong Dexter Wong
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Mo Yang
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
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Qiu D, Li J, Zhang J, Minfeng C, Gao X, Tang Y, Zhang Y, Yi X, Yin H, Gan Y, Wang G, Zu X, Hu S, Yi C. Dual-Tracer PET/CT-Targeted, mpMRI-Targeted, systematic biopsy, and combined biopsy for the diagnosis of prostate cancer. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00824-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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22
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DIAO X, Zheng Z, Yi C, Cao P, Ye H, Liu R, Lin J, Chen W, Mao H, Huang F, Yang X. POS-680 ASSOCIATION OF ABNORMAL IRON STATUS WITH THE OCCURRENCE AND PROGNOSIS OF PERITONEAL DIALYSIS-RELATED PERITONITIS. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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23
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LIU R, Ye H, Peng Y, Yi C, Lin J, Wu H, Diao X, Huang X, Mao H, Huang F, Yu X, Yang X. POS-702 INCREMENTAL PERITONEAL DIALYSIS WAS ASSOCIATED WITH BETTER SURVIVAL OUTCOMES AT THE INITIAL 6 YEARS OF PERITONEAL DIALYSIS: A PROPENSITY-MATCHED COHORT STUDY. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Hou M, Chen W, Zhao J, Dai D, Yang M, Yi C. Facile synthesis and in vivo bioimaging applications of porphyrin derivative-encapsulated polymer nanoparticles. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.01.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Tian F, Zhong X, Zhao J, Gu Y, Fan Y, Shi F, Zhang Y, Tan Y, Chen W, Yi C, Yang M. Hybrid theranostic microbubbles for ultrasound/photoacoustic imaging guided starvation/low-temperature photothermal/hypoxia-activated synergistic cancer therapy. J Mater Chem B 2021; 9:9358-9369. [PMID: 34726226 DOI: 10.1039/d1tb01735g] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Constructing a theranostic agent for high-contrast multimodality imaging-guided synergistic therapy with long-term tumor retention and minimum systemic side effects still remains a major challenge. Herein, a hybrid microbubble-based theranostic platform was developed for dual-modality ultrasound (US) and enhanced photoacoustic (PA) imaging-guided synergistic tumor therapy by combining starvation therapy, low-temperature photothermal therapy (PTT), and hypoxia-activated therapy, based on polydopamine (PDA) doped poly(vinyl alcohol) microbubbles loaded with glucose oxidase (GOx) (PDA-PVAMBs@GOx) and hypoxia-activated prodrug (HAP) tirapazamine (TPZ). For dual-modality US/enhanced PA imaging, PDA-PVAMBs provided 6.5-fold amplified PA signals relative to freely dispersed PDA nanoparticles (PDA NPs). For synergistic cancer therapy, oxygen (O2) carried by PDA-PVAMBs@GOx was first released to promote starvation therapy by loaded GOx. Then, moderate near-infrared (NIR) laser irradiation triggered PTT and improved enzymatic activity of GOx with its optimal activity around 47 °C. Subsequently, GOx-mediated tumor starvation depleted O2 and exacerbated the hypoxia environment, thereby activating the toxicity of TPZ in the tumor site. Through dual-modality US/PA imaging monitoring, PDA-PVAMBs@GOx with long-term retention (∼7 days) combined with PTT and TPZ significantly inhibited the growth of solid tumors with minimum systemic side effects, which might be a powerful tool for effective tumor treatment.
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Affiliation(s)
- Feng Tian
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
| | - Xingjian Zhong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
| | - JunKai Zhao
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, P. R. China
| | - Yutian Gu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
| | - Yadi Fan
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
| | - Fan Shi
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
| | - Yu Zhang
- Department of Mechanical and Automotive Engineering, Royal Melbourne Institute of Technology University, Melbourne, Victoria 3000, Australia
| | - Youhua Tan
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
| | - Wen Chen
- Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, P. R. China
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
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Yang J, Zhang Y, Zhao J, Ma J, Yi C. Development of gold nanoparticles-aptamer nanocomposite for multiplexed analysis of antibiotics and design of molecular logic gates. Nanotechnology 2021; 33:015501. [PMID: 34598169 DOI: 10.1088/1361-6528/ac2c41] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 10/01/2021] [Indexed: 06/13/2023]
Abstract
The widespread use of antibiotics caused severe problems of antibiotic residues in foodstuffs and water, posing a serious threat to public health and thus urging the development of sensitive, selective, and rapid detection methods for antibiotics. In this study, a fluorescence resonance energy transfer (FRET)-based system is developed for the multiplexed analysis of chloramphenicol (CAP) and streptomycin (Strep) with detection limits of 2.51 and 8.69μg l-1, respectively. The FRET-based system consists of Cy3-tagged anti-CAP aptamer-conjugated gold nanoparticles (AuNPs) (referred to as AuNPs-AptCAP) and Cy5-tagged anti-Strep aptamer-conjugated AuNPs (referred to as AuNPs-AptStrep). In addition, AuNPs-AptCAP and AuNPs-AptStrep have been demonstrated to serve as signal transducers for implementing a series of logic operations such as YES, NOT, INH, OR, (2-4)-Decoder and even more complicated multi-level logic gates (OR-INH). Based on the outputs of logic operations, it could be figured out whether targeted analytes were present or not, thus enabling multiplex sensing and evaluation of pollution status. This proof of concept study might provide a new route for the enhanced sensing performance to distinguish different pollution status as well as the design of molecular mimics of logic elements to demonstrate better applicability.
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Affiliation(s)
- Jun Yang
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Yali Zhang
- Shenzhen Second People's Hospital, Shenzhen 518035, People's Republic of China
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, People's Republic of China
| | - Junkai Zhao
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, People's Republic of China
| | - Junping Ma
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, People's Republic of China
| | - Changqing Yi
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, People's Republic of China
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Chen W, Zhao J, Hou M, Yang M, Yi C. Gadolinium-porphyrin based polymer nanotheranostics for fluorescence/magnetic resonance imaging guided photodynamic therapy. Nanoscale 2021; 13:16197-16206. [PMID: 34545903 DOI: 10.1039/d1nr04489c] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Nanotheranostics for fluorescence/magnetic resonance (FL/MR) dual-modal imaging guided photodynamic therapy (PDT) are highly desirable in precision and personalized medicine. In this study, a facile non-covalent electrostatic interaction induced self-assembly strategy is developed to effectively encapsulate gadolinium porphyrin (Gd-TCPP) into homogeneous supramolecular nanoparticles (referred to as Gd-PNPs). Gd-PNPs exhibit the following advantages: (1) excellent FL imaging property, high longitudinal relaxivity (16.157 mM-1 s-1), and good singlet oxygen (1O2) production property; (2) excellent long-term colloidal stability, dispersity and biocompatibility; and (3) enhanced in vivo FL/MR imaging guided tumor growth inhibition efficiency for CT 26 tumor-bearing mice. This study provides a new strategy to design and synthesize metalloporphyrin-based nanotheranostics for imaging-guided cancer therapy with enhanced theranostic properties.
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Affiliation(s)
- Wandi Chen
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China.
| | - Junkai Zhao
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China.
| | - Mengfei Hou
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China.
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China
| | - Changqing Yi
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China.
- Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen, 518057, P. R. China
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Shi Y, Liu J, Zhang Y, Bao J, Cheng J, Yi C. Microwave-assisted synthesis of colorimetric and fluorometric dual-functional hybrid carbon nanodots for Fe3+ detection and bioimaging. CHINESE CHEM LETT 2021. [DOI: 10.1016/j.cclet.2021.03.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
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Huang ZR, Sheng MT, Pan LM, Zhang SZ, Zhu ZL, Wang H, Xu CL, Teng L, He L, Gu C, Yi C, Li JM. [Effects of protein disulfide isomerase on hyperglycemia and hypoxia/reoxygenation injury in H9c2 cardiomyocytes]. Zhonghua Yi Xue Za Zhi 2021; 101:1523-1528. [PMID: 34044521 DOI: 10.3760/cma.j.cn112137-20200926-02724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effect of protein disulfide isomerase (PDI) in diabetic ischemic heart disease. Methods: We established an in vitro model of high glucose and hypoxia/reoxygenation in H9c2 rat myocardial cells. Cultured cells were divided into four groups: Control, high glucose (HG), hypoxia/reoxygenation (H/R) and HG+H/R. Changes in PDI expression mediated by PDI adenovirus(Ad-PDI) infection and siRNA(PDI-siRNA) transfection in myocardial cells were observed by inverted fluorescence microscopy. We also measured lactate dehydrogenase(LDH) activity and malondialdehyde(MDA) and high molecular weight(HMW)-APN concentrations. PDI, APN, cleaved caspase-3, and glucose regulated protein 78 (Grp78) protein expression were detected. Results: PDI expression was significantly decreased in the HG, H/R and HG+H/R groups compared to the Control group; however, LDH activity[(179.7±10.4) U/L、(218.4±18.4) U/L、(328.2±5.3) U/L vs (91.0±11.0) U/L], MDA concentration[(7.0±0.4) μmol/L、(10.0±1.0) μmol/L、(11.7±1.0) μmol/L vs (4.2±1.8) μmol/L], cleaved caspase-3, and Grp78 expression were increased. Interestingly, APN and HMW-APN expression were decreased [(2.01±0.21) μg/L、(1.64±0.27) μg/L、(1.20±0.14) μg/L vs (2.62±0.12) μg/L, all P<0.05]. Over expression of PDI attenuated high glucose and hypoxia/reoxygenation induced apoptosis and oxidative stress in H9c2 cardiomyocytes(all P<0.05), and simultaneously increased APN and HMW-APN expression [(2.86±0.03) μg/L vs (3.03±0.10) μg/L、(2.06±0.05) μg/L vs (2.31±0.06) μg/L、(1.83±0.07) μg/L vs (1.96±0.11) μg/L、(1.20±0.06) μg/L vs (1.39±0.09) μg/L]. PDI-siRNA transfection increased LDH activity, MDA concentration, and cleaved caspase-3 and Grp78 expression, and decreased APN and HMW-APN expression [(0.75±0.09) μg/L vs (0.59±0.09) μg/L、(0.62±0.04) μg/L vs (0.53±0.05) μg/L、(0.55±0.14) μg/L vs (0.51±0.12) μg/L、(0.48±0.12) μg/L vs (0.35±0.08) μg/L] in response to different treatments in cultured H9c2 cardiomyocytes (all P<0.05). Conclusion: PDI may regulate the expression of APN and HMW-APN, and play an important role in the function of diabetic ischemia-reperfusion cardiomyocytes.
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Affiliation(s)
- Z R Huang
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
| | - M T Sheng
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
| | - L M Pan
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
| | - S Z Zhang
- China Three Gorges University, Yichang 443000, China
| | - Z L Zhu
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
| | - H Wang
- China Three Gorges University, Yichang 443000, China
| | - C L Xu
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
| | - L Teng
- the First College of Clinical Medical Sciences of Three Gorges University/Central People's Hospital of Yichang, Yichang 443000, China
| | - L He
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
| | - C Gu
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
| | - C Yi
- the First College of Clinical Medical Sciences of Three Gorges University/Central People's Hospital of Yichang, Yichang 443000, China
| | - J M Li
- The People's Hospital of Three Gorges University/the First People's Hospital of Yichang, Yichang 443000, China
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Cong P, Yi C, Wang X, Peng Y. Construction of specific Smo lentivirus and expression of infected pancreatic cancer cells positive for CD24CD44 surface antibody. J BIOL REG HOMEOS AG 2021; 35:525-535. [PMID: 33728829 DOI: 10.23812/20-554-a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This study aimed to construct a vector lentivirus carrying the Smo gene and transfect pancreatic cancer cells positive for CD24CD44 surface antibody and detect the infectivity. A lentivirus carrying a specific Smo fragment was designed and synthesized, and its functionality was tested. An overexpression group, inhibitory group, and negative control group were used for subsequent experimental research and comparison. A virus was successfully designed and produced. The best viral load was the 1X106 TU virus, where the cell growth and fluorescence effect of culture wells with polybrene dilution were the best. These are the transfection conditions and transfection param-eters for subsequent experiments. This plasmid was detected with a flag antibody by Western blot. The result was that it had a large specific 250kD band, and the membrane protein was overexpressed successfully. The expression results of Smo in five groups of cells after virus transfection detected by RT-PCR: blank group were 1.0038±0.0344, CON238 negative group: 1.0276±0.2944d, CON077 negative group: 0.8793±0.0402; LV-SMO15570-2 overexpres-sion group: 2.7479±0.8308, and LV-SMO-RNAi37304-1 inhibition group: 0.2386±0.0481. There were differences among the overexpression group and inhibition group with the other three groups. Homogeneity of variance: Bartlett F = 4.3530, P = 0.0016 < 0.05, heterogeneous. K-W test: cc2 = 10.9905* P = 0.0267, and there was a statisti-cally significant difference. The designed virus achieved the goal requirements. An sRNA fragment was designed for the key gene Smo of the Hh signaling pathway, and a vector lentivirus carrying this fragment was successfully constructed. The expression of Smo was analyzed after transfecting SW1990CD24CD44 positive cells, suggesting that the function of the RNA fragment designed for the key gene Smo in this experiment was successful.
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Affiliation(s)
- P Cong
- Department of Hepatobiliary and Pancreatic Surgery, Nanchong Central Hospital, Sichuan, P.R. China
| | - C Yi
- Department of Hepato-Pancreato-Biliary Surgery, Cancer Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang, P.R. China
| | - X Wang
- Department of Hepato-Pancreato-Biliary Surgery, Cancer Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang, P.R. China
| | - Y Peng
- Department of Hepatobiliary and Pancreatic Surgery, Nanchong Central Hospital, Sichuan, P.R. China
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Luo Y, Hou WT, Zeng L, Li ZP, Ge W, Yi C, Kang JP, Li WM, Wang F, Wu DB, Wang RY, Qu BL, Li XF, Wang JJ. Progress in the study of markers related to glioma prognosis. Eur Rev Med Pharmacol Sci 2021; 24:7690-7697. [PMID: 32744695 DOI: 10.26355/eurrev_202007_22271] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE In the era of precision medicine, molecular and genetic biomarkers act as the key indicators for glioma patients' recurrence and prognosis. MATERIALS AND METHODS We summarize the biomarkers of glioma prognosis from molecular level, gene level and microRNA level. RESULTS In molecular biomarkers, cyclinD1 high expression/P16 low expression, MIF high expression and VEGF high expression were all related to glioma patients' poor prognosis; in genetic biomarkers, MGMT promoter methylation absence, IDH1 wild type, HIF-α high expression, Chromosome 1p/19q non-deletion and TERT promoter mutation were associated with poor prognosis for glioma; in microRNA biomarkers, miR-524-5p, miR-586, miR-433, miR-619, miR-548d-5p, miR-525-5p, miR-301a, miR-210, miR-10b-5p, miR-15b-5p and miRNA-182 high expression, miR-124, miR-128, miR-146b and miR-218 low expression were commonly seen in glioma poor prognosis patients. CONCLUSIONS With the continuous development of science and technology, the diagnosis of glioma will tend to the gene and molecular level. Finding specific markers is helpful for the early diagnosis and accurate prognosis of glioma, which provides the possibility for individualized treatment.
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Affiliation(s)
- Y Luo
- Department of Medical Oncology Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan Province, China.
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Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Deng J, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Yun JP, Huang D, Song Z, Fan X, Chen L, Yan X, Li Z, Huang ZC, Huang J, Luttrell J, Zhang CY, Zhou W, Zhang K, Yi C, Wu C, Shen H, Wang YP, Xiao HM, Deng HW. Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence. BMC Med 2021; 19:76. [PMID: 33752648 PMCID: PMC7986569 DOI: 10.1186/s12916-021-01942-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. METHODS Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. RESULTS Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. CONCLUSIONS This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.
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Affiliation(s)
- K S Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - G Yu
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Xu
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - X H Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China
| | - J Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Zheng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Deng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - L Shang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - R Liu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - S Su
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - X Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - Q Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - K Ma
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Qi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Hu
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - P Tang
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
| | - X Qiu
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - B Y Li
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - W D Shen
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - R P Quan
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - J T Yang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - L Y Huang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Y Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Z C Yang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, Hunan, China
| | - Z Li
- School of Life Sciences, Central South University, Changsha, 410013, Hunan, China
| | - S C Wang
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - H Ren
- Department of Pathology, Gongli Hospital, Second Military Medical University, Shanghai, 200135, China
- Department of Pathology, the Peace Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China
| | - C Liang
- Pathological Laboratory of Adicon Medical Laboratory Co., Ltd, Hangzhou, 310023, Zhejiang, China
| | - W Guo
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - Y Li
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - H Xiao
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Gu
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - J P Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - D Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Z Song
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - X Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - L Chen
- Department of Pathology, The first affiliated hospital, Air Force Medical University, Xi'an, 710032, China
| | - X Yan
- Institute of Pathology and southwest cancer center, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Z Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z C Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Luttrell
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - C Y Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - W Zhou
- College of Computing, Michigan Technological University, Houghton, MI, 49931, USA
| | - K Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - C Yi
- Department of Pathology, Ochsner Medical Center, New Orleans, LA, 70121, USA
| | - C Wu
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - H Shen
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Y P Wang
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - H M Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
| | - H W Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA.
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
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Wang Q, Shi Y, Chen W, Yang M, Yi C. Synthesis of fluorescent nanoprobe with simultaneous response to intracellular pH and Zn 2+ for tumor cell distinguishment. Mikrochim Acta 2021; 188:9. [PMID: 33389210 DOI: 10.1007/s00604-020-04682-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 12/03/2020] [Indexed: 12/19/2022]
Abstract
A novel dual-functional nanoprobe was designed and synthesized by facile assembly of quinoline derivative (PEIQ) and meso-tetra (4-carboxyphenyl) porphine (TCPP) via electrostatic interaction for simultaneous sensing of fluorescence of Zn2+ and pH. Under the single-wavelength excitation at 400 nm, this nanoprobe not only exhibits "OFF-ON" green fluorescence at 512 nm by specific PEIQ-Zn2+ chelation, but also presents red fluorescence enhancement at 654 nm by H+-triggered TCPP release. The nanoprobe demonstrated excellent sensing performance with a good linear range (Zn2+, 1-40 μM; pH, 5.0-8.0), low detection limit (Zn2+, 0.88 μM), and simultaneous response towards Zn2+ and pH in pure aqueous solution within 2 min. More importantly, this dual-functional nanoprobe demonstrates the capability of discerning cancerous cells from normal cells, as evidenced by the fact that cancerous HepG2 cells in tumor microenvironment exhibit substantially higher red fluorescence and significantly lower green fluorescence than normal HL-7702 cells. The simultaneous, real-time fluorescence imaging of multiple analytes in a living system could be significant for cell analysis and tracking, cancer diagnosis, and even fluorescence-guided surgery of tumors.
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Affiliation(s)
- Qin Wang
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Yupeng Shi
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Wandi Chen
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.
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Zhao J, Chen X, Ho KH, Cai C, Li CW, Yang M, Yi C. Nanotechnology for diagnosis and therapy of rheumatoid arthritis: Evolution towards theranostic approaches. CHINESE CHEM LETT 2021. [DOI: 10.1016/j.cclet.2020.11.048] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Oudeng G, Benz M, Popova AA, Zhang Y, Yi C, Levkin PA, Yang M. Droplet Microarray Based on Nanosensing Probe Patterns for Simultaneous Detection of Multiple HIV Retroviral Nucleic Acids. ACS Appl Mater Interfaces 2020; 12:55614-55623. [PMID: 33269927 PMCID: PMC7724762 DOI: 10.1021/acsami.0c16146] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 11/20/2020] [Indexed: 05/09/2023]
Abstract
Multiplexed detection of viral nucleic acids is important for rapid screening of viral infection. In this study, we present a molybdenum disulfide (MoS2) nanosheet-modified dendrimer droplet microarray (DMA) for rapid and sensitive detection of retroviral nucleic acids of human immunodeficiency virus-1 (HIV-1) and human immunodeficiency virus-2 (HIV-2) simultaneously. The DMA platform was fabricated by omniphobic-omniphilic patterning on a surface-grafted dendrimer substrate. Functionalized MoS2 nanosheets modified with fluorescent dye-labeled oligomer probes were prepatterned on positively charged amino-modified omniphilic spots to form a fluorescence resonance energy transfer (FRET) sensing microarray. With the formation of separated microdroplets of sample on the hydrophobic-hydrophilic micropattern, prepatterned oligomer probes specifically hybridized with the target HIV genes and detached from the MoS2 nanosheet surface due to weakening of the adsorption force, leading to fluorescence signal recovery. As a proof of concept, we used this microarray with a small sample size (<150 nL) for simultaneous detection of HIV-1 and HIV-2 nucleic acids with a limit of detection (LOD) of 50 pM. The multiplex detection capability was further demonstrated for simultaneous detection of five viral genes (HIV-1, HIV-2, ORFlab, and N genes of SARS-COV-2 and M gene of Influenza A). This work demonstrated the potential of this novel MoS2-DMA FRET sensing platform for high-throughput multiplexed viral nucleic acid screening.
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Affiliation(s)
- Gerile Oudeng
- Department of Biomedical
Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong SAR, P. R. China
| | - Maximilian Benz
- Institute of Biological and Chemical Systems—Functional Molecular
Systems (IBCS-FMS), Karlsruhe Institute
of Technology (KIT), Hermann-von Helmholtz-Platz 1, Eggenstein-Leopoldshafen 76344, German
| | - Anna A. Popova
- Institute of Biological and Chemical Systems—Functional Molecular
Systems (IBCS-FMS), Karlsruhe Institute
of Technology (KIT), Hermann-von Helmholtz-Platz 1, Eggenstein-Leopoldshafen 76344, German
| | - Yu Zhang
- Department
of Mechanical and Automotive Engineering, Royal Melbourne Institute of Technology University, Victoria 3000, Melbourne, Australia
| | - Changqing Yi
- Key Laboratory of
Sensing Technology and Biomedical Instruments (Guangdong Province),
School of Biomedical Engineering, Sun Yat-Sen
University, Guangzhou 510006, P. R. China
| | - Pavel A. Levkin
- Institute of Biological and Chemical Systems—Functional Molecular
Systems (IBCS-FMS), Karlsruhe Institute
of Technology (KIT), Hermann-von Helmholtz-Platz 1, Eggenstein-Leopoldshafen 76344, German
| | - Mo Yang
- Department of Biomedical
Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong SAR, P. R. China
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Cao L, Zhou YJ, Zhang F, Liu YR, Wang XD, Yi C, Xu QJ, Xiao S, Wang L. [The role of time-series propagation map and activity path of confirmed cases in the analysis and determination of COVID-19 epidemic]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1782-1785. [PMID: 33297638 DOI: 10.3760/cma.j.cn112338-20200305-00257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: The time sequence transmission map and the cases travel track were used to explain the chain of transmission, describe the characteristics of transmission and analyze the mode of epidemic of novel coronavirus pneumonia, so as to provide evidence for the relevant government departments to carry out epidemic prevention and control. Methods: The time sequence transmission map and the cases travel track table were drawn, according to the time of incidence, age, sex, number of close contacts and their interrelations. Results: At the end of February 10, 2020, 63 COVID-19 cases were reported in the research area. Among them, 57 cases were confirmed (1 deaths) and 6 cases were asymptomatic, 57 cases were imported cases (90.48%), 36 cases were reported by cluster epidemic (57.14%) among friends and relatives. Cases have been spread to the fourth generation. Conclusion: The time sequence transmission map and the cases travel track showed that, in the research area, the epidemic situation of COVID-19 was mainly caused by imported case, and the clustering transmission was the major spread model. The time sequence transmission map and the cases travel track are worth popularizing in the prevention and control of major infectious diseases.
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Affiliation(s)
- L Cao
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - Y J Zhou
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - F Zhang
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - Y R Liu
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - X D Wang
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - C Yi
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - Q J Xu
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - S Xiao
- School of Public Health Hainan Medical University, Haikou 571199, China
| | - L Wang
- School of Public Health Hainan Medical University, Haikou 571199, China; National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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37
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Gao Y, Zeng S, Xiong X, Cai G, Wang Z, Xu X, Chi J, Jiao X, Liu J, Li R, Yao S, Li X, Song K, Tang J, Xing H, Yu Z, Zeng S, Zhang Q, Yi C, Kong B, Xie X, Ma D, Li X, Gao Q. A deep convolutional neural network enabled pelvic ultrasound imaging algorithm for early and accurate diagnosis of ovarian cancer. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.05.628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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38
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Zhang Y, Li CW, Zhou L, Chen Z, Yi C. "Plug and Play" logic gate construction based on chemically triggered fluorescence switching of gold nanoparticles conjugated with Cy3-tagged aptamer. Mikrochim Acta 2020; 187:437. [PMID: 32647943 DOI: 10.1007/s00604-020-04421-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 06/30/2020] [Indexed: 11/29/2022]
Abstract
Gold nanoparticles (AuNPs) conjugated with Cy3-tagged aptamer which can specifically recognize chloramphenicol (CAP) (referred to as AuNPs-AptCAP) are described. CAP can trigger the configuration change of CAP binding aptamer, and thus switching the fluorescence of AuNPs-AptCAP through changing the efficiency of the fluorescence resonance energy transfer (FRET) system with Cy3 as donors and AuNPs as recipients. AuNPs-AptCAP exhibits a linear range of CAP concentrations from 26.0 to 277 μg L-1 with a limit of detection of 8.1 μg L-1 when Cy3 was excited at 530 nm and emission was measured at 570 nm. More importantly, AuNPs-AptCAP can be utilized as signal transducers for the build-up of a series of logic gates including YES, PASS 0, INH, NOT, PASS 1, and NAND. Utilizing the principle of a metal ion-mediated fluorescence switch together with a strong metal ion chelator, the fluorescence of AuNPs-AptCAP could be modulated by adding metal ions and EDTA sequentially. Therefore, a "Plug and Play" logic system based on AuNPs-AptCAP has been realized by simply adding other components to create new logic functions. This work highlights the advantages of simple synthesis and facile fluorescence switching properties, which will provide useful knowledge for the establishment of molecular logic systems. Graphical abstract.
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Affiliation(s)
- Yali Zhang
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Cheuk-Wing Li
- School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK
| | - Lefei Zhou
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Zhanpeng Chen
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China. .,Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen, 518057, China.
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Fang Y, Zhou L, Yang J, Zhao J, Zhang Y, Yi C. Multilevel, Dual-Readout Logic Operations Based on pH-Responsive Holmium(III)-Doped Carbon Nanodots. ACS Appl Bio Mater 2020; 3:3761-3769. [DOI: 10.1021/acsabm.0c00356] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Yaning Fang
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
| | - Lefei Zhou
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
| | - Jun Yang
- Guangdong Provincial People’s Hospital, Guangzhou 510080, China
| | - Junkai Zhao
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
| | - Yali Zhang
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
- Research Institute of Sun Yat-sen University in Shenzhen, Shenzhen 518057, China
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40
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Xiao M, Liu Z, Xu N, Jiang L, Yang M, Yi C. A Smartphone-Based Sensing System for On-Site Quantitation of Multiple Heavy Metal Ions Using Fluorescent Carbon Nanodots-Based Microarrays. ACS Sens 2020; 5:870-878. [PMID: 32141287 DOI: 10.1021/acssensors.0c00219] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The development of cost-effective and versatile sensing system for simultaneous and rapid quantitation of multiple targets is highly demanded for environmental surveillance, food safety inspection, home healthcare, etc. This work reports on (1) paper-based microarrays relying on fluorescence turn-off of carbon nanodots (CDs) for analyte recognition and (2) a stand-alone smartphone-based portable reader (SBR) installed with a custom-designed APP (SBR-App), which can accurately and reproducibly acquire fluorescence change from the microarray chip, automatically report the results, generate and share the reports via wireless network. Simultaneous detection of Hg2+, Pb2+, and Cu2+ in the Pearl River water samples was achieved with the reported sensing system. End-user operation is limited to pipet samples to the microarray chip, insert the chip to the SBR, and open the SBR-App to acquire an image 5 min after sample introduction. There is no requirement for complicated sample pre-treatment and expensive equipment except for a smartphone. This versatile and cost-effective smartphone-based sensing system featured with reliability and simplicity is ideally suited for user- and eco-friendly point-of-need detection in resource-constrained environments.
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Affiliation(s)
- Meng Xiao
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou 510006, China
| | - Zhonggang Liu
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou 510006, China
| | - Ningxia Xu
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou 510006, China
| | - Lelun Jiang
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou 510006, China
- Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen 518057, China
| | - Mengsu Yang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou 510006, China
- Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen 518057, China
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Ma J, Yi C, Li CW. Facile synthesis and functionalization of color-tunable Ln 3+-doped KGdF 4 nanoparticles on a microfluidic platform. Mater Sci Eng C Mater Biol Appl 2019; 108:110381. [PMID: 31924035 DOI: 10.1016/j.msec.2019.110381] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 10/09/2019] [Accepted: 10/29/2019] [Indexed: 12/20/2022]
Abstract
Hyaluronic acid (HA)-functionalized lanthanide-doped KGdF4 nanoparticles were synthesized through two steps on a microfluidic platform. This microfluidic synthesis method allows better control of experimental conditions with lower labor and energy input than traditional beaker synthesis methods for large-scale production of nanoparticles with higher uniformity. First, Ln3+-doped KGdF4 nanoparticles were ultrafast (in minutes) and continuously synthesized using a four-inlets microfluidic chip at room temperature. Then, HA is continuously functionalized on the surface of Ln3+-doped KGdF4 nanoparticles using a T-shape chip through electrostatic adsorption. The synthesized nanoparticles show good uniformity, high biocompatibility, targeted cellular uptake, photoluminescence (PL) and magnetic resonance (MR) properties. This work highlights the potential of microfluidic platform for the development of multifunctional nanoparticles in biomedicine.
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Affiliation(s)
- Junping Ma
- Institute of Chinese Medical Sciences, University of Macau, Macau, China; Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province), School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China; Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen, 518057, China.
| | - Cheuk-Wing Li
- Institute of Chinese Medical Sciences, University of Macau, Macau, China; School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, United Kingdom.
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42
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Cheng M, Zhou L, Ma J, Mu J, Yi C, Li MJ. Iridium(III) and gadolinium(III) loaded and peptide-modified silica nanoparticles for photoluminescence and magnetic resonance (dual) imaging. Materials Science and Engineering: C 2019; 104:109972. [DOI: 10.1016/j.msec.2019.109972] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/18/2019] [Accepted: 07/12/2019] [Indexed: 01/11/2023]
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43
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Yuan B, Zhao J, Zhou C, Wang X, Zhu B, Zhuo M, Yi C, Zhang H, Dong X, Feng J, Yang Y, Zhou W, Chen Z, Yang S, Zhang Y, Ai X, Chen K, Cui X, Liu D, Wu W, Shi C, Chang L, Li J, Chen R, Yang S. P1.01-126 The Co-Occurring Genomic Landscape of ERBB2 Exon 20 Insertion in Non-Small Cell Lung Cancer (NSCLC) and the Potential Indicator of Response to Afatinib. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Alam MK, Koomson E, Zou H, Yi C, Li CW, Xu T, Yang M. Recent advances in microfluidic technology for manipulation and analysis of biological cells (2007–2017). Anal Chim Acta 2018; 1044:29-65. [DOI: 10.1016/j.aca.2018.06.054] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 06/19/2018] [Accepted: 06/19/2018] [Indexed: 12/17/2022]
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45
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Fang Y, Jia J, Yang J, Zheng J, Yi C. Facile preparation of holmium(III)-doped carbon nanodots for fluorescence/magnetic resonance dual-modal bioimaging. CHINESE CHEM LETT 2018. [DOI: 10.1016/j.cclet.2017.10.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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46
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Zhu Y, Al-ebbinni N, Henney R, Yi C, Barat R. Extension to multiple temperatures of a three-reaction global kinetic model for methane dehydroaromatization. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2017.11.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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47
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Pan Y, Chen W, Yang J, Zheng J, Yang M, Yi C. Facile Synthesis of Gadolinium Chelate-Conjugated Polymer Nanoparticles for Fluorescence/Magnetic Resonance Dual-Modal Imaging. Anal Chem 2018; 90:1992-2000. [DOI: 10.1021/acs.analchem.7b04078] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Yi Pan
- Key
Laboratory of Sensing Technology and Biomedical Instruments (Guangdong
Province), School of Engineering, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Wandi Chen
- Key
Laboratory of Sensing Technology and Biomedical Instruments (Guangdong
Province), School of Engineering, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Jun Yang
- Guangdong General Hospital, Guangzhou, People’s Republic of China
| | - Junhui Zheng
- Guangdong General Hospital, Guangzhou, People’s Republic of China
| | - Mengsu Yang
- Department
of Biomedical Sciences, City University of Hong Kong, Hong Kong, People’s Republic of China
| | - Changqing Yi
- Key
Laboratory of Sensing Technology and Biomedical Instruments (Guangdong
Province), School of Engineering, Sun Yat-Sen University, Guangzhou, People’s Republic of China
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48
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Kanwal M, Ding X, Zhanshan M, Wang P, Yun-Chao H, Yi C. P1.02-040 Genetic Risk Evaluation in Families with Lung Cancer History in High Lung Cancer Mortality Region of Xuanwei, China. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2017.09.773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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49
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Wang X, Shen Y, Li Q, Qiu M, Li Z, Liu J, Gou H, Yang Y, Cao D, Yi C, Luo D, Zhu H, Zhou Z, Tan S, Wang W, Ye X, Su X, Xu F, Bi F. Adjuvant oxaliplatin plus S-1 (SOX) with concurrent radiotherapy versus SOX alone for gastric cancer with D2 lymph node dissection and high risk factors: a randomized phase III trial. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx369.161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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50
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Cao XH, Wang Q, Li J, Yi C, Li MJ. Gold nanoparticles functionalized with Ru(II)bipyridyl labeled DNA as a luminescent probe for the sensitive determination of DNase I. Mikrochim Acta 2017. [DOI: 10.1007/s00604-017-2330-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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