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Kurzthaler C, Zhao Y, Zhou N, Schwarz-Linek J, Devailly C, Arlt J, Huang JD, Poon WCK, Franosch T, Tailleur J, Martinez VA. Characterization and Control of the Run-and-Tumble Dynamics of Escherichia Coli. Phys Rev Lett 2024; 132:038302. [PMID: 38307047 DOI: 10.1103/physrevlett.132.038302] [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] [Received: 12/21/2022] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 02/04/2024]
Abstract
We characterize the full spatiotemporal gait of populations of swimming Escherichia coli using renewal processes to analyze the measurements of intermediate scattering functions. This allows us to demonstrate quantitatively how the persistence length of an engineered strain can be controlled by a chemical inducer and to report a controlled transition from perpetual tumbling to smooth swimming. For wild-type E. coli, we measure simultaneously the microscopic motility parameters and the large-scale effective diffusivity, hence quantitatively bridging for the first time small-scale directed swimming and macroscopic diffusion.
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Affiliation(s)
- Christina Kurzthaler
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544, USA
- Institut für Theoretische Physik, Universität Innsbruck, Technikerstraße 21A, A-6020 Innsbruck, Austria
| | - Yongfeng Zhao
- Center for Soft Condensed Matter Physics and Interdisciplinary Research and School of Physical Science and Technology, Soochow University, Suzhou 215006, China
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pok Fu Lam, Hong Kong, China
- Université de Paris, MSC, UMR 7057 CNRS, 75205 Paris, France
- School of Physics and Astronomy and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Nan Zhou
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
| | - Jana Schwarz-Linek
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Clemence Devailly
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Jochen Arlt
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pok Fu Lam, Hong Kong, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wilson C K Poon
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Thomas Franosch
- Institut für Theoretische Physik, Universität Innsbruck, Technikerstraße 21A, A-6020 Innsbruck, Austria
| | - Julien Tailleur
- Université de Paris, MSC, UMR 7057 CNRS, 75205 Paris, France
| | - Vincent A Martinez
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
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2
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Huang JD, Wang H, Power U, McLaughlin JA, Nugent C, Rahman E, Barabas J, Maguire P. Detecting Respiratory Viruses Using a Portable NIR Spectrometer-A Preliminary Exploration with a Data Driven Approach. Sensors (Basel) 2024; 24:308. [PMID: 38203170 PMCID: PMC10781395 DOI: 10.3390/s24010308] [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] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/13/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024]
Abstract
Respiratory viruses' detection is vitally important in coping with pandemics such as COVID-19. Conventional methods typically require laboratory-based, high-cost equipment. An emerging alternative method is Near-Infrared (NIR) spectroscopy, especially a portable one of the type that has the benefits of low cost, portability, rapidity, ease of use, and mass deployability in both clinical and field settings. One obstacle to its effective application lies in its common limitations, which include relatively low specificity and general quality. Characteristically, the spectra curves show an interweaving feature for the virus-present and virus-absent samples. This then provokes the idea of using machine learning methods to overcome the difficulty. While a subsequent obstacle coincides with the fact that a direct deployment of the machine learning approaches leads to inadequate accuracy of the modelling results. This paper presents a data-driven study on the detection of two common respiratory viruses, the respiratory syncytial virus (RSV) and the Sendai virus (SEV), using a portable NIR spectrometer supported by a machine learning solution enhanced by an algorithm of variable selection via the Variable Importance in Projection (VIP) scores and its Quantile value, along with variable truncation processing, to overcome the obstacles to a certain extent. We conducted extensive experiments with the aid of the specifically developed algorithm of variable selection, using a total of four datasets, achieving classification accuracy of: (1) 0.88, 0.94, and 0.93 for RSV, SEV, and RSV + SEV, respectively, averaged over multiple runs, for the neural network modelling of taking in turn 3 sessions of data for training and the remaining one session of an 'unknown' dataset for testing. (2) the average accuracy of 0.94 (RSV), 0.97 (SEV), and 0.97 (RSV + SEV) for model validation and 0.90 (RSV), 0.93 (SEV), and 0.91 (RSV + SEV) for model testing, using two of the datasets for model training, one for model validation and the other for model testing. These results demonstrate the feasibility of using portable NIR spectroscopy coupled with machine learning to detect respiratory viruses with good accuracy, and the approach could be a viable solution for population screening.
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Affiliation(s)
- Jian-Dong Huang
- School of Computing, Ulster University, Belfast BT15 1AP, UK
| | - Hui Wang
- School of Computing, Ulster University, Belfast BT15 1AP, UK
| | - Ultan Power
- Wellcome Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast BT9 7BL, UK
| | - James A. McLaughlin
- NIBEC Nanotechnology & Integrated Bio-Engineering Centre, School of Engineering, Ulster University, Belfast BT15 1AP, UK
| | - Chris Nugent
- School of Computing, Ulster University, Belfast BT15 1AP, UK
| | - Enayetur Rahman
- NIBEC Nanotechnology & Integrated Bio-Engineering Centre, School of Engineering, Ulster University, Belfast BT15 1AP, UK
| | - Judit Barabas
- Wellcome Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast BT9 7BL, UK
| | - Paul Maguire
- NIBEC Nanotechnology & Integrated Bio-Engineering Centre, School of Engineering, Ulster University, Belfast BT15 1AP, UK
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3
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Jin M, Huo D, Sun J, Hu J, Liu S, Zhan M, Zhang BZ, Huang JD. Enhancing immune responses of ESC-based TAA cancer vaccines with a novel OMV delivery system. J Nanobiotechnology 2024; 22:15. [PMID: 38166929 PMCID: PMC10763241 DOI: 10.1186/s12951-023-02273-8] [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] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
Embryonic stem cell (ESC)-derived epitopes can act as therapeutic tumor vaccines against different types of tumors Jin (Adv Healthc Mater 2023). However, these epitopes have poor immunogenicity and stimulate insufficient CD8+ T cell responses, which motivated us to develop a new method to deliver and enhance their effectiveness. Bacterial outer membrane vesicles (OMVs) can serve as immunoadjuvants and act as a delivery vector for tumor antigens. In the current study, we engineered a new OMV platform for the co-delivery of ESC-derived tumor antigens and immune checkpoint inhibitors (PD-L1 antibody). An engineered Staphylococcal Protein A (SpA) was created to non-specifically bind to anti-PD-L1 antibody. SpyCatcher (SpC) and SpA were fused into the cell outer membrane protein OmpA to capture SpyTag-attached peptides and PD-L1 antibody, respectively. The modified OMV was able to efficiently conjugate with ESC-derived TAAs and PD-L1 antibody (SpC-OMVs + SpT-peptides + anti-PD-L1), increasing the residence time of TAAs in the body. The results showed that the combination therapy of ESC-based TAAs and PD-L1 antibody delivered by OMV had significant inhibitory effects in mouse tumor model. Specifically, it was effective in reducing tumor growth by enhancing IFN-γ-CD8+ T cell responses and increasing the number of CD8+ memory cells and antigen-specific T cells. Overall, the new OMV delivery system is a versatile platform that can enhance the immune responses of ESC-based TAA cancer vaccines.
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Affiliation(s)
- Meiling Jin
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, China
| | - Da Huo
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, China
| | - Jingjing Sun
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, China
| | | | - Shuzhen Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, China
| | - Mingshuo Zhan
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, China
| | - Bao-Zhong Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, China
| | - Jian-Dong Huang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, China.
- School of Biomedical Sciences, Faculty of Medicine, Li Ka Shing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
- Department of Clinical Oncology, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou, 510120, China.
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4
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Hu B, Chan JFW, Liu Y, Liu H, Chen YX, Shuai H, Hu YF, Hartnoll M, Chen L, Xia Y, Hu JC, Yuen TTT, Yoon C, Hou Y, Huang X, Chai Y, Zhu T, Shi J, Wang Y, He Y, Cai JP, Zhou J, Yuan S, Zhang J, Huang JD, Yuen KY, To KKW, Zhang BZ, Chu H. Divergent trajectory of replication and intrinsic pathogenicity of SARS-CoV-2 Omicron post-BA.2/5 subvariants in the upper and lower respiratory tract. EBioMedicine 2024; 99:104916. [PMID: 38101297 PMCID: PMC10733096 DOI: 10.1016/j.ebiom.2023.104916] [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: 07/31/2023] [Revised: 11/23/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Earlier Omicron subvariants including BA.1, BA.2, and BA.5 emerged in waves, with a subvariant replacing the previous one every few months. More recently, the post-BA.2/5 subvariants have acquired convergent substitutions in spike that facilitated their escape from humoral immunity and gained ACE2 binding capacity. However, the intrinsic pathogenicity and replication fitness of the evaluated post-BA.2/5 subvariants are not fully understood. METHODS We systemically investigated the replication fitness and intrinsic pathogenicity of representative post-BA.2/5 subvariants (BL.1, BQ.1, BQ.1.1, XBB.1, CH.1.1, and XBB.1.5) in weanling (3-4 weeks), adult (8-10 weeks), and aged (10-12 months) mice. In addition, to better model Omicron replication in the human nasal epithelium, we further investigated the replication capacity of the post-BA.2/5 subvariants in human primary nasal epithelial cells. FINDINGS We found that the evaluated post-BA.2/5 subvariants are consistently attenuated in mouse lungs but not in nasal turbinates when compared with their ancestral subvariants BA.2/5. Further investigations in primary human nasal epithelial cells revealed a gained replication fitness of XBB.1 and XBB.1.5 when compared to BA.2 and BA.5.2. INTERPRETATION Our study revealed that the post-BA.2/5 subvariants are attenuated in lungs while increased in replication fitness in the nasal epithelium, indicating rapid adaptation of the circulating Omicron subvariants in the human populations. FUNDING The full list of funding can be found at the Acknowledgements section.
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Affiliation(s)
- Bingjie Hu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, China; and The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Yuanchen Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Huan Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yan-Xia Chen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Huiping Shuai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Madeline Hartnoll
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Li Chen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yao Xia
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jing-Chu Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Terrence Tsz-Tai Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Chaemin Yoon
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yuxin Hou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Xiner Huang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yue Chai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Tianrenzheng Zhu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jialu Shi
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yang Wang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yixin He
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jian-Piao Cai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jie Zhou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Jinxia Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, China; and The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Kelvin Kai-Wang To
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.
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5
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Zhao Y, Kurzthaler C, Zhou N, Schwarz-Linek J, Devailly C, Arlt J, Huang JD, Poon WCK, Franosch T, Martinez VA, Tailleur J. Quantitative characterization of run-and-tumble statistics in bulk bacterial suspensions. Phys Rev E 2024; 109:014612. [PMID: 38366485 DOI: 10.1103/physreve.109.014612] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 12/04/2023] [Indexed: 02/18/2024]
Abstract
We introduce a numerical method to extract the parameters of run-and-tumble dynamics from experimental measurements of the intermediate scattering function. We show that proceeding in Laplace space is unpractical and employ instead renewal processes to work directly in real time. We first validate our approach against data produced using agent-based simulations. This allows us to identify the length and time scales required for an accurate measurement of the motility parameters, including tumbling frequency and swim speed. We compare different models for the run-and-tumble dynamics by accounting for speed variability at the single-cell and population level, respectively. Finally, we apply our approach to experimental data on wild-type Escherichia coli obtained using differential dynamic microscopy.
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Affiliation(s)
- Yongfeng Zhao
- Center for Soft Condensed Matter Physics and Interdisciplinary Research & School of Physical Science and Technology, Soochow University, Suzhou 215006, China
- School of Physics and Astronomy and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pok Fu Lam, Hong Kong, People's Republic of China
- Université de Paris, MSC, UMR 7057 CNRS, 75205 Paris, France
| | - Christina Kurzthaler
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544, USA
- Institut für Theoretische Physik, Universität Innsbruck, Technikerstraße 21A, A-6020 Innsbruck, Austria
| | - Nan Zhou
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
| | - Jana Schwarz-Linek
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Clemence Devailly
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Jochen Arlt
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pok Fu Lam, Hong Kong, People's Republic of China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wilson C K Poon
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Thomas Franosch
- Institut für Theoretische Physik, Universität Innsbruck, Technikerstraße 21A, A-6020 Innsbruck, Austria
| | - Vincent A Martinez
- School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom
| | - Julien Tailleur
- Université de Paris, MSC, UMR 7057 CNRS, 75205 Paris, France
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6
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Selvarasu K, Singh AK, Dakshinamoorthy A, Sreenivasmurthy SG, Iyaswamy A, Radhakrishnan M, Patnaik S, Huang JD, Williams LL, Senapati S, Durairajan SSK. Interaction of Tau with Kinesin-1: Effect of Kinesin-1 Heavy Chain Elimination on Autophagy-Mediated Mutant Tau Degradation. Biomedicines 2023; 12:5. [PMID: 38275365 PMCID: PMC10813313 DOI: 10.3390/biomedicines12010005] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/08/2023] [Accepted: 12/14/2023] [Indexed: 01/27/2024] Open
Abstract
Natively unfolded tau has a low propensity to form aggregates, but in tauopathies, such as Alzheimer's disease (AD), tau aggregates into paired helical filaments (PHFs) and neurofibrillary tangles (NFTs). Multiple intracellular transport pathways utilize kinesin-1, a plus-end-directed microtubule-based motor. Kinesin-1 is crucial in various neurodegenerative diseases as it transports multiple cargoes along the microtubules (MT). Kinesin-1 proteins cannot progress along MTs due to an accumulation of tau on their surfaces. Although kinesin-1-mediated neuronal transport dysfunction is well-documented in other neurodegenerative diseases, its role in AD has received less attention. Very recently, we have shown that knocking down and knocking out of kinesin-1 heavy chain (KIF5B KO) expression significantly reduced the level and stability of tau in cells and tau transgenic mice, respectively. Here, we report that tau interacts with the motor domain of KIF5B in vivo and in vitro, possibly through its microtubule-binding repeat domain. This interaction leads to the inhibition of the ATPase activity of the motor domain. In addition, the KIF5B KO results in autophagy initiation, which subsequently assists in tau degradation. The mechanisms behind KIF5B KO-mediated tau degradation seem to involve its interaction with tau, promoting the trafficking of tau through retrograde transport into autophagosomes for subsequent lysosomal degradation of tau. Our results suggest how KIF5B removal facilitates the movement of autophagosomes toward lysosomes for efficient tau degradation. This mechanism can be enabled through the downregulation of kinesin-1 or the disruption of the association between kinesin-1 and tau, particularly in cases when neurons perceive disturbances in intercellular axonal transport.
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Affiliation(s)
- Karthikeyan Selvarasu
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Neelakudi, Thiruvarur 610 005, India; (K.S.); (A.K.S.); (S.P.)
| | - Abhay Kumar Singh
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Neelakudi, Thiruvarur 610 005, India; (K.S.); (A.K.S.); (S.P.)
| | - Avinash Dakshinamoorthy
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, India; (A.D.); (S.S.)
| | | | - Ashok Iyaswamy
- Mr. & Mrs. Ko Chi-Ming Centre for Parkinson’s Disease Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China;
- Department of Biochemistry, Karpagam Academy of Higher Education, Coimbatore 641021, India
| | - Moorthi Radhakrishnan
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Neelakudi, Thiruvarur 610 005, India; (K.S.); (A.K.S.); (S.P.)
| | - Supriti Patnaik
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Neelakudi, Thiruvarur 610 005, India; (K.S.); (A.K.S.); (S.P.)
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Leonard L. Williams
- Center for Excellence in Post Harvest Technologies, North Carolina Agricultural and Technical State University, The North Carolina Research Campus, 500 Laureate Way, Kannapolis, NC 28081, USA
| | - Sanjib Senapati
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, India; (A.D.); (S.S.)
| | - Siva Sundara Kumar Durairajan
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Neelakudi, Thiruvarur 610 005, India; (K.S.); (A.K.S.); (S.P.)
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
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Liu R, Hu YF, Du J, Zhang BZ, Yau T, Fan X, Huang JD. Family-Specific Training Improves Linear B Cell Epitope Prediction for Emerging Viruses. IEEE/ACM Trans Comput Biol Bioinform 2023; 20:3669-3680. [PMID: 37665713 DOI: 10.1109/tcbb.2023.3311444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
The rational design of vaccines and antibody-based therapeutics against newly emerging viruses relies on B cell epitopes mainly. To predict the B cell epitopes of a novel virus, several algorithms have been developed. While most existing algorithms are trained on a dataset in which B cell epitopes are classified as 'Positive' or 'Negative'. However, we found that training on such data contaminates the target pattern of specific viruses, leading to inaccurate predictions in some cases. In this paper, we introduce a novel framework for predicting linear B cell epitopes of novel viruses by exclusively using highly similar viruses for training data. We employed kernel regression based on seropositive rates, which are the percentages of seropositive samples among the population, to predict the potential epitopes. To assess our method, we conducted simulations and utilized two real-world datasets. Our method significantly outperformed other existing methods on the testing data of four viruses with seropositive rates. Also, our strategy showed a better prediction in a larger dataset from the IEDB. Thus, a novel framework providing better linear B cell prediction of newly emerging viruses is established, which will benefit the rational design of vaccines and antibody-based therapeutics in the future.
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Hua Z, Wu S, Zhang Y, Wang X, Cui J, Li Y, Yang C, Zhai M, Deng B, Yu B, Huang JD, Wang Z, Zhou J. Targeted IFNγ induction by a genetically engineered Salmonella typhimurium is the key to the liver metastasis inhibition in a mouse model of pancreatic neuroendocrine tumor. Front Med (Lausanne) 2023; 10:1284120. [PMID: 38020179 PMCID: PMC10644712 DOI: 10.3389/fmed.2023.1284120] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Background Liver metastasis is one of the primary causes of death for the patients with pancreatic neuroendocrine tumors (PNETs). However, no curative therapy has been developed so far. Methods The anti-tumor efficacy of a genetically engineered tumor-targeting Salmonella typhimurium YB1 was evaluated on a non-functional INR1G9 liver metastasis model. Differential inflammatory factors were screened by Cytometric Bead Array. Antibody depletion assay and liver-targeted AAV2/8 expression vector were used for functional evaluation of the differential inflammatory factors. Results We demonstrated that YB1 showed significant anti-tumor efficacy as a monotherapy. Since YB1 cannot infect INR1G9 cells, its anti-tumor effect was possibly due to the modulation of the tumor immune microenvironment. Two inflammatory factors IFNγ and CCL2 were elevated in the liver after YB1 administration, but only IFNγ was found to be responsible for the anti-tumor effect. Liver-targeted expression of IFNγ caused the activation of macrophages and NK cells, and reproduced the therapeutic effect of YB1 on liver metastasis. Conclusion We demonstrated that YB1 may exhibit anti-tumor effect mainly based on IFNγ induction. Targeted IFNγ therapy can replace YB1 for treating liver metastasis of PNETs.
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Affiliation(s)
- Zhan Hua
- Department of General Surgery, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Shan Wu
- Research Center for Translational Medicine, Cancer Stem Cell Institute, East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yulian Zhang
- Department of Neurosurgery, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Xiuhong Wang
- Department of Pathology, China-Japan Friendship Hospital, Beijing, China
| | - Ju Cui
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yunxuan Li
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | | | - Min Zhai
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Bo Deng
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Bin Yu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- HKND YB1 Pharmaceutical Limited, Hong Kong, Hong Kong SAR, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Zai Wang
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Jianjun Zhou
- Research Center for Translational Medicine, Cancer Stem Cell Institute, East Hospital, Tongji University School of Medicine, Shanghai, China
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Xu Y, Yang RX, Li DY, Zhang Y, Huang JD, Hu JJ, Guan YC, Sun LJ. [The effect of unexpected follicular development in artificial cycles on the clinical outcomes in frozen thawed embryo transfer based on propensity score matching]. Zhonghua Yi Xue Za Zhi 2023; 103:2720-2726. [PMID: 37675544 DOI: 10.3760/cma.j.cn112137-20221215-02653] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Objective: To study the effect of unexpected follicular development in artificial cycles on the clinical outcomes in frozen thawed embryo transfer based on propensity score matching(PSM). Methods: The retrospective cohort study analyzed the clinical data of 7 064 cycles (5 716 patients) of artificial cycle frozen-thawed embryo transfer (AC-FET) in the Reproduction Center of the Third Affiliated Hospital of Zhengzhou University from January 1, 2016 to December 31, 2020. The clinical data were divided into three groups according to the degree of follicular development in AC-FET: no follicular growth group (group A, 6 349 cycles), small follicular growth group (group B, 248 cycles), and large follicular growth group (group C, 467 cycles). Differences in clinical outcomes between the small follicle growth group (Group B) and the large follicle growth group (Group C) were compared with the no follicle growth group (Group A) after PSM and logistic regression to adjust for confounding factors at baseline. A binary logistic regression model was used to analyze the factors related to the unanticipated follicular development in AC-FET. Results: Age [M(Q1,Q3)] was [31.0 (28.0, 36.0)] years in Group A, [34.5 (30.0, 40.0)] years in Group B, and [36.0 (31.0, 41.0)] years in Group C. After adjusting for confounders, the differences between Groups A and B in clinical pregnancy rate (P=0.169), live birth rate (P=0.318), early abortion rate (P=0.470), and miscarriage rate (P=0.783) were not statistically significant. The differences in clinical pregnancy rate (P=0.743), live birth rate (P=0.486) and miscarriage rate (P=0.080) between Groups A and C were not statistically significant, while early miscarriage rate (P=0.034) differences were statistically significant. The age, BMI, basal AFC, AMH and starting dose of estrogen were correlates of the emergence of non-expected small follicles in Groups B and A. The adjusted OR (AOR) values (95%CI) were 1.03 (1.01-1.06), 0.93 (0.90-0.98), 0.97 (0.95-0.99), 0.96 (0.95-0.97), and 0.59 (0.45-0.77), all P<0.05. Age, basal AFC, AMH and starting dose of estrogen were the associated factors of the appearance of non-expected large follicles in Groups C and A. The AOR values (95%CI) were 1.03 (1.01-1.05), 0.93 (0.91-0.95), 0.96 (0.95-0.97), and 0.52 (0.42-0.64), all P<0.05. Conclusions: In AC-FET, the clinical outcome of small follicular growth is similar to that of unfollicular growth; Compared with the growth without follicles, the growth and development of large follicles can reduce the early abortion rate; Patients with older age, less AFC, lower AMH, and lower initial dose of estrogen could be more likely to have unanticipated follicular development during endometrial preparation.
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Affiliation(s)
- Y Xu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - R X Yang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - D Y Li
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Zhang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J D Huang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J J Hu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y C Guan
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - L J Sun
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Shuai H, Chan JFW, Hu B, Chai Y, Yoon C, Liu H, Liu Y, Shi J, Zhu T, Hu JC, Hu YF, Hou Y, Huang X, Yuen TTT, Wang Y, Zhang J, Xia Y, Chen LL, Cai JP, Zhang AJ, Yuan S, Zhou J, Zhang BZ, Huang JD, Yuen KY, To KKW, Chu H. The viral fitness and intrinsic pathogenicity of dominant SARS-CoV-2 Omicron sublineages BA.1, BA.2, and BA.5. EBioMedicine 2023; 95:104753. [PMID: 37579626 PMCID: PMC10448076 DOI: 10.1016/j.ebiom.2023.104753] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [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: 04/19/2023] [Revised: 07/25/2023] [Accepted: 07/27/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND Among the Omicron sublineages that have emerged, BA.1, BA.2, BA.5, and their related sublineages have resulted in the largest number of infections. While recent studies demonstrated that all Omicron sublineages robustly escape neutralizing antibody response, it remains unclear on whether these Omicron sublineages share any pattern of evolutionary trajectory on their replication efficiency and intrinsic pathogenicity along the respiratory tract. METHODS We compared the virological features, replication capacity of dominant Omicron sublineages BA.1, BA.2 and BA.5 in the human nasal epithelium, and characterized their pathogenicity in K18-hACE2, A129, young C57BL/6, and aged C57BL/6 mice. FINDINGS We found that BA.5 replicated most robustly, followed by BA.2 and BA.1, in the differentiated human nasal epithelium. Consistently, BA.5 infection resulted in higher viral gene copies, infectious viral titres and more abundant viral antigen expression in the nasal turbinates of the infected K18-hACE2 transgenic mice. In contrast, the Omicron sublineages are continuously attenuated in lungs of infected K18-hACE2 and C57BL/6 mice, leading to decreased pathogenicity. Nevertheless, lung manifestations remain severe in Omicron sublineages-infected A129 and aged C57BL/6 mice. INTERPRETATION Our results suggested that the Omicron sublineages might be gaining intrinsic replication fitness in the upper respiratory tract, therefore highlighting the importance of global surveillance of the emergence of hyper-transmissive Omicron sublineages. On the contrary, replication and intrinsic pathogenicity of Omicron is suggested to be further attenuated in the lower respiratory tract. Effective vaccination and other precautions should be in place to prevent severe infections in the immunocompromised populations at risk. FUNDING A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
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Affiliation(s)
- Huiping Shuai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, China; and The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Bingjie Hu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yue Chai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Chaemin Yoon
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Huan Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yuanchen Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jialu Shi
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Tianrenzheng Zhu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jing-Chu Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yuxin Hou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Xiner Huang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Terrence Tsz-Tai Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yang Wang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jinjin Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yao Xia
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Lin-Lei Chen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jian-Piao Cai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Anna Jinxia Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Jie Zhou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, China; and The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Kelvin Kai-Wang To
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.
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Ke MR, Chen Z, Shi J, Wei Y, Liu H, Huang S, Li X, Zheng BY, Huang JD. A smart and visible way to switch the aromaticity of silicon(IV) phthalocyanines. Chem Commun (Camb) 2023; 59:9832-9835. [PMID: 37505224 DOI: 10.1039/d3cc02910g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Unlike traditional methods of modifying phthalocyanines (Pcs), we herein report a smart and visible way to switch the aromaticity of silicon(IV) phthalocyanines via a reversible nucleophilic addition reaction of the Pc skeleton induced by alkalis and acids, leading to an interesting allochroism phenomenon and the switching of photosensitive activities.
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Affiliation(s)
- Mei-Rong Ke
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Zixuan Chen
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Jie Shi
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Ying Wei
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Hao Liu
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Shuping Huang
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Xingshu Li
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Bi-Yuan Zheng
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
| | - Jian-Dong Huang
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, China.
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Hu YF, Yuen TTT, Gong HR, Hu B, Hu JC, Lin XS, Rong L, Zhou CL, Chen LL, Wang X, Lei C, Yau T, Hung IFN, To KKW, Yuen KY, Zhang BZ, Chu H, Huang JD. Rational design of a booster vaccine against COVID-19 based on antigenic distance. Cell Host Microbe 2023; 31:1301-1316.e8. [PMID: 37527659 DOI: 10.1016/j.chom.2023.07.004] [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: 01/11/2023] [Revised: 06/03/2023] [Accepted: 07/07/2023] [Indexed: 08/03/2023]
Abstract
Current COVID-19 vaccines are highly effective against symptomatic disease, but repeated booster doses using vaccines based on the ancestral strain offer limited additional protection against SARS-CoV-2 variants of concern (VOCs). To address this, we used antigenic distance to in silico select optimized booster vaccine seed strains effective against both current and future VOCs. Our model suggests that a SARS-CoV-1-based booster vaccine has the potential to cover a broader range of VOCs. Candidate vaccines including the spike protein from ancestral SARS-CoV-2, Delta, Omicron (BA.1), SARS-CoV-1, or MERS-CoV were experimentally evaluated in mice following two doses of the BNT162b2 vaccine. The SARS-CoV-1-based booster vaccine outperformed other candidates in terms of neutralizing antibody breadth and duration, as well as protective activity against Omicron (BA.2) challenge. This study suggests a unique strategy for selecting booster vaccines based on antigenic distance, which may be useful in designing future booster vaccines as new SARS-CoV-2 variants emerge.
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Affiliation(s)
- Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 4/F Professional Block, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China; BayVax Biotech Limited, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong, China
| | - Terrence Tsz-Tai Yuen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Hua-Rui Gong
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Bingjie Hu
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Jing-Chu Hu
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Xuan-Sheng Lin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Li Rong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Coco Luyao Zhou
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Lin-Lei Chen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Xiaolei Wang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Chaobi Lei
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China
| | - Thomas Yau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 4/F Professional Block, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 4/F Professional Block, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Kwok-Yung Yuen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Bao-Zhong Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China.
| | - Hin Chu
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China.
| | - Jian-Dong Huang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China; Clinical Oncology Center, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China; Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou 510120, China.
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Liu R, Hu YF, Huang JD, Fan X. A Bayesian approach to estimate MHC-peptide binding threshold. Brief Bioinform 2023; 24:bbad208. [PMID: 37279464 DOI: 10.1093/bib/bbad208] [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: 03/22/2023] [Revised: 05/08/2023] [Accepted: 05/16/2023] [Indexed: 06/08/2023] Open
Abstract
Major histocompatibility complex (MHC)-peptide binding is a critical step in enabling a peptide to serve as an antigen for T-cell recognition. Accurate prediction of this binding can facilitate various applications in immunotherapy. While many existing methods offer good predictive power for the binding affinity of a peptide to a specific MHC, few models attempt to infer the binding threshold that distinguishes binding sequences. These models often rely on experience-based ad hoc criteria, such as 500 or 1000nM. However, different MHCs may have different binding thresholds. As such, there is a need for an automatic, data-driven method to determine an accurate binding threshold. In this study, we proposed a Bayesian model that jointly infers core locations (binding sites), the binding affinity and the binding threshold. Our model provided the posterior distribution of the binding threshold, enabling accurate determination of an appropriate threshold for each MHC. To evaluate the performance of our method under different scenarios, we conducted simulation studies with varying dominant levels of motif distributions and proportions of random sequences. These simulation studies showed desirable estimation accuracy and robustness of our model. Additionally, when applied to real data, our results outperformed commonly used thresholds.
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Affiliation(s)
- Ran Liu
- Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong SAR, China
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 4/F Professional Block, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong SAR, China
- BayVax Biotech Limited, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong SAR, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Clinical Oncology Center, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou 510120, China
- State Key Laboratory of Cognitive and Brain Research, The University of Hong Kong, Hong Kong SAR, China
| | - Xiaodan Fan
- Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR, China
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14
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Firth J, Sun J, George V, Huang JD, Bajaj-Elliott M, Gustafsson K. Bacterial outer-membrane vesicles promote Vγ9Vδ2 T cell oncolytic activity. Front Immunol 2023; 14:1198996. [PMID: 37529036 PMCID: PMC10388717 DOI: 10.3389/fimmu.2023.1198996] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/12/2023] [Indexed: 08/03/2023] Open
Abstract
Background Increasing evidence suggests the immune activation elicited by bacterial outer-membrane vesicles (OMVs) can initiate a potent anti-tumor immunity, facilitating the recognition and destruction of malignant cells. At present the pathways underlying this response remain poorly understood, though a role for innate-like cells such as γδ T cells has been suggested. Methods Peripheral blood mononuclear cells (PBMCs) from healthy donors were co-cultured with E. coli MG1655 Δpal ΔlpxM OMVs and corresponding immune activation studied by cell marker expression and cytokine production. OMV-activated γδ T cells were co-cultured with cancer cell lines to determine cytotoxicity. Results The vesicles induced a broad inflammatory response with γδ T cells observed as the predominant cell type to proliferate post-OMV challenge. Notably, the majority of γδ T cells were of the Vγ9Vδ2 type, known to respond to both bacterial metabolites and stress markers present on tumor cells. We observed robust cytolytic activity of Vγ9Vδ2 T cells against both breast and leukaemia cell lines (SkBr3 and Nalm6 respectively) after OMV-mediated expansion. Conclusions Our findings identify for the first time, that OMV-challenge stimulates the expansion of Vγ9Vδ2 T cells which subsequently present anti-tumor capabilities. We propose that OMV-mediated immune activation leverages the anti-microbial/anti-tumor capacity of Vγ9Vδ2 T cells, an axis amenable for improved future therapeutics.
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Affiliation(s)
- Jack Firth
- Department of Biochemical Engineering University College London, London, United Kingdom
| | - Jingjing Sun
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Vaques George
- Department of Biochemical Engineering University College London, London, United Kingdom
| | - Jian-Dong Huang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Mona Bajaj-Elliott
- Great Ormond Street Institute of Child Health, University College London (UCL), London, United Kingdom
| | - Kenth Gustafsson
- Department of Biochemical Engineering University College London, London, United Kingdom
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15
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Chen J, Li T, Zhou N, He Y, Zhong J, Ma C, Zeng M, Ji J, Huang JD, Ke Y, Sun H. Engineered Salmonella inhibits GPX4 expression and induces ferroptosis to suppress glioma growth in vitro and in vivo. J Neurooncol 2023; 163:607-622. [PMID: 37351767 DOI: 10.1007/s11060-023-04369-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/08/2023] [Indexed: 06/24/2023]
Abstract
PURPOSE Glioma is a life-threatening malignancy where conventional therapies are ineffective. Bacterial cancer therapy has shown potential for glioma treatment, in particular, the facultative anaerobe Salmonella has been extensively studied. Meanwhile, ferroptosis is a newly characterized form of cell death. Nevertheless, the role of ferroptosis in Salmonella-induced tumour cell death remains unclear. Therefore, we aim to elucidate whether Salmonella YB1 exerts therapeutic effects via inducing ferroptosis in glioma. METHODS Following Salmonella YB1 infection, mRNA sequencing was applied to detect ferroptosis-related gene expression and the levels of reactive oxygen species, malondialdehyde, and glutathione were quantified. Transmission electron microscopy (TEM) was then used to observe the changes in the mitochondrial morphology of glioma cells. The role of ferroptosis in the anti-tumor effect of YB1 was assessed in vivo in mouse tumor xenograft models. RESULTS Whole-transcriptome analysis revealed that Salmonella YB1 infection alters ferroptosis-related gene expression in the U87 glioma cell line. Moreover, we found that Salmonella-induced ferroptosis is correlated with reduced levels of glutathione and glutathione peroxidase-4 (GPX4) and increased levels of reactive oxygen species and malondialdehyde in vitro. Meanwhile, TEM revealed that mitochondria are shrunken and mitochondrial membrane density increases in infected glioma cells. Experiments in vivo further showed that tumor growth in the Salmonella-treated group was significantly slower compared to the control and Fer-1 groups. However, Salmonella-induced tumor suppression can be reversed in vivo by Fer-1 treatment. CONCLUSION Salmonella YB1 inhibits GPX4 expression and induces ferroptosis to suppress glioma growth. Hence, ferroptosis regulation might represent a promising strategy to improve the efficacy of bacterial cancer therapy.
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Affiliation(s)
- Jiawen Chen
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Ting Li
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
- Department of Laboratory Medicine, Clinical Biobank Center, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Nan Zhou
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, China
| | - Yige He
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, 999077, China
| | - Jiasheng Zhong
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Chengcheng Ma
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Meiqin Zeng
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
- Department of Laboratory Medicine, Clinical Biobank Center, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Jingsen Ji
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, 999077, China
- Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (CAS), Chinese Academy of Sciences, Shenzhen, 518055, China
- Clinical Oncology Center, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518055, China
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou, 510120, China
- Department of Laboratory Medicine, Clinical Biobank Center, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Yiquan Ke
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
| | - Haitao Sun
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
- Department of Laboratory Medicine, Clinical Biobank Center, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
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16
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Wang X, Yuen TTT, Dou Y, Hu J, Li R, Zeng Z, Lin X, Gong H, Chan CHC, Yoon C, Shuai H, Ho DTY, Hung IFN, Zhang BZ, Chu H, Huang JD. Vaccine-induced protection against SARS-CoV-2 requires IFN-γ-driven cellular immune response. Nat Commun 2023; 14:3440. [PMID: 37301910 PMCID: PMC10257169 DOI: 10.1038/s41467-023-39096-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 09/05/2022] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
The overall success of worldwide mass vaccination in limiting the negative effect of the COVID-19 pandemics is inevitable, however, recent SARS-CoV-2 variants of concern, especially Omicron and its sub-lineages, efficiently evade humoral immunity mounted upon vaccination or previous infection. Thus, it is an important question whether these variants, or vaccines against them, induce anti-viral cellular immunity. Here we show that the mRNA vaccine BNT162b2 induces robust protective immunity in K18-hACE2 transgenic B-cell deficient (μMT) mice. We further demonstrate that the protection is attributed to cellular immunity depending on robust IFN-γ production. Viral challenge with SARS-CoV-2 Omicron BA.1 and BA.5.2 sub-variants induce boosted cellular responses in vaccinated μMT mice, which highlights the significance of cellular immunity against the ever-emerging SARS-CoV-2 variants evading antibody-mediated immunity. Our work, by providing evidence that BNT162b2 can induce significant protective immunity in mice that are unable to produce antibodies, thus highlights the importance of cellular immunity in the protection against SARS-CoV-2.
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Affiliation(s)
- Xiaolei Wang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
- Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China
| | - Terrence Tsz-Tai Yuen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Ying Dou
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Jingchu Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Renhao Li
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Zheng Zeng
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Xuansheng Lin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Huarui Gong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Celia Hoi-Ching Chan
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Chaemin Yoon
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Huiping Shuai
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Deborah Tip-Yin Ho
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
- Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China
| | - Bao-Zhong Zhang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Hin Chu
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.
- Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.
- Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou, China.
- Clinical Oncology Center, Shenzhen Key Laboratory for cancer metastasis and personalized therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
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Durairajan SSK, Singh AK, Saravanan UB, Namachivayam M, Radhakrishnan M, Huang JD, Dhodapkar R, Zhang H. Gastrointestinal Manifestations of SARS-CoV-2: Transmission, Pathogenesis, Immunomodulation, Microflora Dysbiosis, and Clinical Implications. Viruses 2023; 15:1231. [PMID: 37376531 DOI: 10.3390/v15061231] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/12/2023] [Accepted: 05/15/2023] [Indexed: 06/29/2023] Open
Abstract
The clinical manifestation of COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in the respiratory system of humans is widely recognized. There is increasing evidence suggesting that SARS-CoV-2 possesses the capability to invade the gastrointestinal (GI) system, leading to the manifestation of symptoms such as vomiting, diarrhea, abdominal pain, and GI lesions. These symptoms subsequently contribute to the development of gastroenteritis and inflammatory bowel disease (IBD). Nevertheless, the pathophysiological mechanisms linking these GI symptoms to SARS-CoV-2 infection remain unelucidated. During infection, SARS-CoV-2 binds to angiotensin-converting enzyme 2 and other host proteases in the GI tract during the infection, possibly causing GI symptoms by damaging the intestinal barrier and stimulating inflammatory factor production, respectively. The symptoms of COVID-19-induced GI infection and IBD include intestinal inflammation, mucosal hyperpermeability, bacterial overgrowth, dysbiosis, and changes in blood and fecal metabolomics. Deciphering the pathogenesis of COVID-19 and understanding its exacerbation may provide insights into disease prognosis and pave the way for the discovery of potential novel targets for disease prevention or treatment. Besides the usual transmission routes, SARS-CoV-2 can also be transmitted via the feces of an infected person. Hence, it is crucial to implement preventive and control measures in order to mitigate the fecal-to-oral transmission of SARS-CoV-2. Within this context, the identification and diagnosis of GI tract symptoms during these infections assume significance as they facilitate early detection of the disease and the development of targeted therapeutics. The present review discusses the receptors, pathogenesis, and transmission of SARS-CoV-2, with a particular focus on the induction of gut immune responses, the influence of gut microbes, and potential therapeutic targets against COVID-19-induced GI infection and IBD.
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Affiliation(s)
| | - Abhay Kumar Singh
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur 610005, India
| | - Udhaya Bharathy Saravanan
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur 610005, India
| | - Mayurikaa Namachivayam
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur 610005, India
| | - Moorthi Radhakrishnan
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur 610005, India
| | - Jian-Dong Huang
- Department of Biochemistry, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong 999077, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Rahul Dhodapkar
- Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER), Government of India, Puducherry 605006, India
| | - Hongjie Zhang
- School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China
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18
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Guo ZW, Lin LH, Ye JP, Chen Y, Li XX, Lin S, Huang JD, Zheng ST. Core-Shell-Type All-Inorganic Heterometallic Nanoclusters: Record High-Nuclearity Cobalt Polyoxoniobates for Visible-Light-Driven Photocatalytic CO2 Reduction. Angew Chem Int Ed Engl 2023:e202305260. [PMID: 37118979 DOI: 10.1002/anie.202305260] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 04/28/2023] [Accepted: 04/28/2023] [Indexed: 04/30/2023]
Abstract
Only rarely have polyoxometalates been found to form core-shell nanoclusters. Here, we succeeded in isolating a series of rare giant and all-inorganic core-shell cobalt polyoxoniobates (Co-PONbs) with diverse shapes, nuclearities and original topologies, including 50-nuclearity {Co12Nb38O132}, 54-nuclearity {Co20Nb34O128}, 62-nuclearity {Co26Nb36O140} and 87-nuclearity {Co33Nb54O128}. They are the largest Co-PONbs and also the polyoxometalates containing the greatest number of Co ions and the largest cobalt clusters known thus far. These molecular Co-PONbs have intriguing and atomically precise core-shell architectures comprising unique cobalt oxide cores and niobate oxide shells. In particular, the encapsulated cobalt oxide cores with different nuclearities have identical compositions, structures and mixed-valence Co3+/Co2+ states as the different sized Co-O moieties of the bulk cubic-spinel Co3O4, suggesting that they can serve as various molecular models of the cubic-spinel Co3O4. The successful construction of the series of the Co-PONbs reveals a feasible and versatile synthetic method for making rare core-shell heterometallic PONbs. Further, these new-type core-shell bimetal species are promising cluster molecular catalysts for visible-light-driven CO2 reduction.
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Affiliation(s)
| | | | | | - Yi Chen
- Fuzhou University, Chemistry, CHINA
| | | | - Sen Lin
- Fuzhou University, Chemistry, CHINA
| | | | - Shou-Tian Zheng
- Fuzhou University, Department of Chemistry, #2 Xueyuan road, 350002, Fuzhou, CHINA
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19
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Zhai L, Huang C, Ning Z, Zhang Y, Zhuang M, Yang W, Wang X, Wang J, Zhang L, Xiao H, Zhao L, Asthana P, Lam YY, Chow CFW, Huang JD, Yuan S, Chan KM, Yuan CS, Lau JYN, Wong HLX, Bian ZX. Ruminococcus gnavus plays a pathogenic role in diarrhea-predominant irritable bowel syndrome by increasing serotonin biosynthesis. Cell Host Microbe 2023; 31:33-44.e5. [PMID: 36495868 DOI: 10.1016/j.chom.2022.11.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [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: 03/13/2022] [Revised: 09/06/2022] [Accepted: 11/15/2022] [Indexed: 12/14/2022]
Abstract
Diarrhea-predominant irritable bowel syndrome (IBS-D), a globally prevalent functional gastrointestinal (GI) disorder, is associated with elevated serotonin that increases gut motility. While anecdotal evidence suggests that the gut microbiota contributes to serotonin biosynthesis, mechanistic insights are limited. We determined that the bacterium Ruminococcus gnavus plays a pathogenic role in IBS-D. Monocolonization of germ-free mice with R. gnavus induced IBS-D-like symptoms, including increased GI transit and colonic secretion, by stimulating the production of peripheral serotonin. R. gnavus-mediated catabolism of dietary phenylalanine and tryptophan generated phenethylamine and tryptamine that directly stimulated serotonin biosynthesis in intestinal enterochromaffin cells via a mechanism involving activation of trace amine-associated receptor 1 (TAAR1). This R. gnavus-driven increase in serotonin levels elevated GI transit and colonic secretion but was abrogated upon TAAR1 inhibition. Collectively, our study provides molecular and pathogenetic insights into how gut microbial metabolites derived from dietary essential amino acids affect serotonin-dependent control of gut motility.
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Affiliation(s)
- Lixiang Zhai
- Centre for Chinese Herbal Medicine Drug Development Limited, Hong Kong Baptist University, Hong Kong SAR, China
| | - Chunhua Huang
- Centre for Chinese Herbal Medicine Drug Development Limited, Hong Kong Baptist University, Hong Kong SAR, China; School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | - Ziwan Ning
- Centre for Chinese Herbal Medicine Drug Development Limited, Hong Kong Baptist University, Hong Kong SAR, China; School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | - Yijing Zhang
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | - Min Zhuang
- Centre for Chinese Herbal Medicine Drug Development Limited, Hong Kong Baptist University, Hong Kong SAR, China
| | - Wei Yang
- Centre for Chinese Herbal Medicine Drug Development Limited, Hong Kong Baptist University, Hong Kong SAR, China
| | - Xiaolei Wang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Jingjing Wang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China
| | - Lu Zhang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China
| | - Haitao Xiao
- School of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen, China
| | - Ling Zhao
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Pallavi Asthana
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | - Yan Y Lam
- Centre for Chinese Herbal Medicine Drug Development Limited, Hong Kong Baptist University, Hong Kong SAR, China
| | - Chi Fung Willis Chow
- Center for Systems Biology Dresden, Max Planck Institute for Molecular Cell and Biology, Dresden, Germany
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kui Ming Chan
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Chun-Su Yuan
- Tang Center for Herbal Medicine Research and Department of Anesthesia and Critical Care, University of Chicago, Chicago, USA
| | - Johnson Yiu-Nam Lau
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | | | - Zhao-Xiang Bian
- Centre for Chinese Herbal Medicine Drug Development Limited, Hong Kong Baptist University, Hong Kong SAR, China; School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China.
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20
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Sun J, Lin X, He Y, Zhang B, Zhou N, Huang JD. A bacterial outer membrane vesicle-based click vaccine elicits potent immune response against Staphylococcus aureus in mice. Front Immunol 2023; 14:1088501. [PMID: 36742310 PMCID: PMC9892643 DOI: 10.3389/fimmu.2023.1088501] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 01/06/2023] [Indexed: 01/20/2023] Open
Abstract
Staphylococcus aureus infection is a severe public health concern with the growing number of multidrug-resistant strains. S. aureus can circumvent the defense mechanisms of host immunity with the aid of multiple virulence factors. An efficacious multicomponent vaccine targeting diverse immune evasion strategies developed by S. aureus is thus crucial for its infection control. In this study, we exploited the SpyCatcher-SpyTag system to engineer bacterial outer membrane vesicles (OMVs) for the development of a multitargeting S. aureus click vaccine. We decorated OMVs with surface exposed SpyCatcher via a truncated OmpA(a.a 1-155)-SpyCatcher fusion. The engineered OMVs can flexibly bind with various SpyTag-fused S. aureus antigens to generate an OMV-based click vaccine. Compared with antigens mixed with alum adjuvant, the click vaccine simultaneously induced more potent antigen-specific humoral and Th1-based cellular immune response, which afforded protection against S. aureus Newman lethal challenge in a mouse model. Our study provided a flexible and versatile click vaccine strategy with the potential for fighting against emerging S. aureus clinical isolates.
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Affiliation(s)
- Jingjing Sun
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.,ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, China
| | - Xuansheng Lin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Yige He
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.,School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Baozhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Nan Zhou
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.,ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, China
| | - Jian-Dong Huang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.,School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China.,Department of Clinical Oncology, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.,Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou, China
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21
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Chang LM, Ma ZZ, Huang JD, Gu ZG. Liquid-Phase Epitaxial Growth of Multiple MOF Thin Films with Highly Lattice Mismatch. Inorg Chem Front 2023. [DOI: 10.1039/d2qi02464k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The development of multiple metal-organic frameworks (MOFs) thin films with high lattice mismatches is still a challenging task. Herein we report a series of single and multiple (bi-varietal and tri-varietal)...
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22
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Jin M, Hu J, Tong L, Zhang BZ, Huang JD. The Epitope Basis of Embryonic Stem Cell-Induced Antitumor Immunity against Bladder Cancer. Adv Healthc Mater 2022; 12:e2202691. [PMID: 36510117 DOI: 10.1002/adhm.202202691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 10/18/2022] [Revised: 12/06/2022] [Indexed: 12/15/2022]
Abstract
Embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) share many cellular and molecular features with cancer cells. Taking advantage of these similarities, stem cells are effective vaccines against cancers in animal models. However, the molecular basis is not well understood, which hinders the development of effective cancer vaccines. Here, prophylactic and therapeutic bladder cancer vaccines composed of allogeneic ESCs and CpG with or without granulocyte macrophage colony stimulating factor are tested. The ESC-based cancer vaccines are able to induce specific antitumor immunity including stimulating cytotoxic CD8+ T cells and memory CD4+ T cells, reducing myeloid-derived suppressor cells, and preventing bladder cancer growth in mouse models. Furthermore, several genes that are overexpressed in both ESCs and tumors are identified. An epitope-based vaccine designed with shared overexpressed proteins induces specific antitumor immunity and reduces bladder cancer growth. Functional epitopes underlying the action of stem cell-based vaccines against bladder cancer are identified and it is confirmed that ESC-based anticancer vaccines have great potential. A systematic approach is provided here to developing novel effective epitope-based cancer vaccines in the future.
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Affiliation(s)
- Meiling Jin
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jingchu Hu
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.,School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Lili Tong
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Bao-Zhong Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jian-Dong Huang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.,School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.,Department of Clinical Oncology, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518053, China.,Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou, 510120, China
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23
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Gong HR, Hu YF, Li X, Yau T, Zhang BZ, Huang JD. Non-Neutralizing Epitopes Shade Neutralizing Epitopes against Omicron in a Multiple Epitope-Based Vaccine. ACS Infect Dis 2022; 8:2586-2593. [PMID: 36357959 PMCID: PMC9662650 DOI: 10.1021/acsinfecdis.2c00488] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Indexed: 11/13/2022]
Abstract
The ongoing coronavirus disease 2019 pandemic has raised concerns about the risk of re-infection. Non-neutralizing epitopes are one of the major reasons for antibody-dependent enhancement. Past studies on the ancestral severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have revealed an infectivity-enhancing site on the ancestral SARS-CoV-2 spike protein. However, infection enhancement associated with the SARS-CoV-2 Omicron strain remains elusive. In this study, we examined the antibodies induced by a multiple epitope-based vaccine, which showed infection enhancement for the Omicron strain but not for the ancestral SARS-CoV-2 or Delta strain. By examining the antibodies induced by single epitope-based vaccines, we identified a conserved epitope, IDf (450-469), with neutralizing activity against ancestral SARS-CoV-2, Delta, and Omicron. Although neutralizing epitopes are present in the multiple epitope-based vaccine, other immunodominant non-neutralizing epitopes such as IDg (480-499) can shade their neutralizing activity, leading to infection enhancement of Omicron. Our study provides up-to-date epitope information on SARS-CoV-2 variants to help design better vaccines or antibody-based therapeutics against future variants.
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Affiliation(s)
- Hua-Rui Gong
- School of Biomedical Sciences, Li Ka Shing Faculty of
Medicine, University of Hong Kong, 3/F, Laboratory Block, 21
Sassoon Road, Hong kong999077, China
| | - Ye-fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of
Medicine, University of Hong Kong, 3/F, Laboratory Block, 21
Sassoon Road, Hong kong999077, China
- Department of Medicine, School of Clinical Medicine,
University of Hong Kong, 4/F Professional Block, Queen Mary
Hospital, 102 Pokfulam Road, Hong Kong999077, China
| | - Xuechen Li
- Department of Chemistry, University of Hong
Kong, Pokfulam Road, Hong Kong999077, China
| | - Thomas Yau
- Department of Medicine, School of Clinical Medicine,
University of Hong Kong, 4/F Professional Block, Queen Mary
Hospital, 102 Pokfulam Road, Hong Kong999077, China
| | - Bao-Zhong Zhang
- Chinese Academy of Sciences (CAS) Key
Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology,
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,
Shenzhen518055, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of
Medicine, University of Hong Kong, 3/F, Laboratory Block, 21
Sassoon Road, Hong kong999077, China
- Chinese Academy of Sciences (CAS) Key
Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology,
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,
Shenzhen518055, China
- Department of Clinical Oncology, Shenzhen Key Laboratory
for Cancer Metastasis and Personalized Therapy, The University of Hong
Kong-Shenzhen Hospital, Shenzhen518055, China
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine,
Sun Yat-Sen University, Guangzhou510120,
China
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24
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Chan CM, Tse H, Wong SSY, Woo PCY, Lau SKP, Chen L, Zheng BJ, Huang JD, Yuen KY. Corrigendum to "Examination of seroprevalence of coronavirus HKU1 infection with S protein-based ELISA and neutralization assay against viral spike pseudotyped virus" Journal of Clinical Virology 45 (2009) 54-60. J Clin Virol 2022; 157:105295. [PMID: 36307272 PMCID: PMC9597574 DOI: 10.1016/j.jcv.2022.105295] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- C M Chan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Hong Kong; Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong; Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China
| | - Herman Tse
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Hong Kong; Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong; Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China
| | - S S Y Wong
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Hong Kong; Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong; Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China
| | - P C Y Woo
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Hong Kong; Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong; Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China
| | - S K P Lau
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Hong Kong; Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong; Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China
| | - L Chen
- Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China
| | - B J Zheng
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Hong Kong; Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong; Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China
| | - J D Huang
- Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong
| | - K Y Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Hong Kong; Research Center of Infection and Immunology, The University of Hong Kong, Hong Kong; Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, PR China.
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25
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Selvarasu K, Singh AK, Iyaswamy A, Gopalkrishnashetty Sreenivasmurthy S, Krishnamoorthi S, Bera AK, Huang JD, Durairajan SSK. Reduction of kinesin I heavy chain decreases tau hyperphosphorylation, aggregation, and memory impairment in Alzheimer's disease and tauopathy models. Front Mol Biosci 2022; 9:1050768. [PMID: 36387285 PMCID: PMC9641281 DOI: 10.3389/fmolb.2022.1050768] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 09/22/2022] [Accepted: 10/10/2022] [Indexed: 08/29/2023] Open
Abstract
Many neurodegenerative diseases, such as Alzheimer's disease (AD) and frontotemporal dementia with Parkinsonism linked to chromosome 17, are characterized by tau pathology. Numerous motor proteins, many of which are involved in synaptic transmission, mediate transport in neurons. Dysfunction in motor protein-mediated neuronal transport mechanisms occurs in several neurodegenerative disorders but remains understudied in AD. Kinesins are the most important molecular motor proteins required for microtubule-dependent transport in neurons, and kinesin-1 is crucial for neuronal transport among all kinesins. Although kinesin-1 is required for normal neuronal functions, the dysfunction of these motor domains leading to neurodegenerative diseases is not fully understood. Here, we reported that the kinesin-I heavy chain (KIF5B), a key molecular motor protein, is involved in tau homeostasis in AD cells and animal models. We found that the levels of KIF5B in P301S tau mice are high. We also found that the knockdown and knockout (KO) of KIFf5B significantly decreased the tau stability, and overexpression of KIF5B in KIF5B-KO cells significantly increased the expression of phosphorylated and total tau levels. This suggested that KIF5B might prevent tau accumulation. By conducting experiments on P301S tau mice, we showed that partially reducing KIF5B levels can reduce hyperphosphorylation of the human tau protein, formation of insoluble aggregates, and memory impairment. Collectively, our results suggested that decreasing KIF5B levels is sufficient to prevent and/or slow down abnormal tau behavior of AD and other tauopathies.
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Affiliation(s)
- Karthikeyan Selvarasu
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, Central University of Tamil Nadu, Thiruvarur, India
| | - Abhay Kumar Singh
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, Central University of Tamil Nadu, Thiruvarur, India
| | - Ashok Iyaswamy
- Mr. and Mrs. Ko Chi-Ming Centre for Parkinson’s Disease Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | | | - Senthilkumar Krishnamoorthi
- Centre for Trans-Disciplinary Research, Department of Pharmacology, Saveetha Dental College and Hospitals, Chennai, India
| | - Amal Kanti Bera
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Siva Sundara Kumar Durairajan
- Molecular Mycology and Neurodegenerative Disease Research Laboratory, Department of Microbiology, Central University of Tamil Nadu, Thiruvarur, India
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26
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Huang JD, Wang J, Ramsey E, Leavey G, Chico TJA, Condell J. Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review. Sensors (Basel) 2022; 22:8002. [PMID: 36298352 PMCID: PMC9610988 DOI: 10.3390/s22208002] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [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: 09/02/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 06/06/2023]
Abstract
Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as wearables to provide an earlier and more accurate prediction and diagnosis of heart disease. Digital health technologies that fuse AI and sensing devices may help disease prevention and reduce the substantial morbidity and mortality caused by CVD worldwide. In this review, we identify and describe recent developments in the application of digital health for CVD, focusing on AI approaches for CVD detection, diagnosis, and prediction through AI models driven by data collected from wearables. We summarise the literature on the use of wearables and AI in cardiovascular disease diagnosis, followed by a detailed description of the dominant AI approaches applied for modelling and prediction using data acquired from sensors such as wearables. We discuss the AI algorithms and models and clinical applications and find that AI and machine-learning-based approaches are superior to traditional or conventional statistical methods for predicting cardiovascular events. However, further studies evaluating the applicability of such algorithms in the real world are needed. In addition, improvements in wearable device data accuracy and better management of their application are required. Lastly, we discuss the challenges that the introduction of such technologies into routine healthcare may face.
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Affiliation(s)
- Jian-Dong Huang
- School of Computing, Engineering and Intelligent Systems, Ulster University at Magee, Londonderry BT48 7JL, UK
| | - Jinling Wang
- School of Computing, Engineering and Intelligent Systems, Ulster University at Magee, Londonderry BT48 7JL, UK
| | - Elaine Ramsey
- Department of Global Business & Enterprise, Ulster University at Magee, Londonderry BT48 7JL, UK
| | - Gerard Leavey
- School of Psychology, Ulster University at Coleraine, Londonderry BT52 1SA, UK
| | - Timothy J. A. Chico
- Department of Infection, Immunity and Cardiovascular Disease, The Medical School, The University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK
| | - Joan Condell
- School of Computing, Engineering and Intelligent Systems, Ulster University at Magee, Londonderry BT48 7JL, UK
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27
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Chan JFW, Hu B, Chai Y, Shuai H, Liu H, Shi J, Liu Y, Yoon C, Zhang J, Hu JC, Hou Y, Huang X, Yuen TTT, Zhu T, Li W, Cai JP, Luo C, Yip CCY, Zhang AJ, Zhou J, Yuan S, Zhang BZ, Huang JD, To KKW, Yuen KY, Chu H. Virological features and pathogenicity of SARS-CoV-2 Omicron BA.2. Cell Rep Med 2022; 3:100743. [PMID: 36084644 PMCID: PMC9420712 DOI: 10.1016/j.xcrm.2022.100743] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 07/27/2022] [Accepted: 08/23/2022] [Indexed: 11/24/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron BA.2 was a dominant circulating SARS-CoV-2 variant worldwide. Recent reports hint that BA.2 is similarly potent regarding antibody evasion but may be more transmissible than BA.1. The pathogenicity of BA.2 remains unclear and is of critical public health significance. Here we investigated the virological features and pathogenicity of BA.2 with in vitro and in vivo models. We show that BA.2 is less dependent on transmembrane protease serine 2 (TMPRSS2) for virus entry in comparison with BA.1 in vitro. In K18-hACE2 mice, BA.2 replicates more efficiently than BA.1 in the nasal turbinates and replicates marginally less efficiently in the lungs, leading to decreased body weight loss and improved survival. Our study indicates that BA.2 is similarly attenuated in lungs compared with BA.1 but is potentially more transmissible because of its better replication at the nasal turbinates.
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Affiliation(s)
- Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Bingjie Hu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yue Chai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Huiping Shuai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Huan Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jialu Shi
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yuanchen Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Chaemin Yoon
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jinjin Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jing-Chu Hu
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China
| | - Yuxin Hou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Xiner Huang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Terrence Tsz-Tai Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Tianrenzheng Zhu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Wenjun Li
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China
| | - Jian-Piao Cai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Cuiting Luo
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Cyril Chik-Yan Yip
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
| | - Anna Jinxia Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Jie Zhou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China
| | - Jian-Dong Huang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Guangzhou Laboratory, Guangdong Province, China
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Infectious Disease and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.
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Ma XY, Zhang W, Que RB, Wang C, Shang WW, Zhu YY, Zheng BY, Chen Y, Ke MR, Huang JD. Thermosensitive Liposomal Nanoplatform Based on Metal-Free Phthalocyanine with Copper(II)-Regulated Photoactivities. Chempluschem 2022; 87:e202200113. [PMID: 36220346 DOI: 10.1002/cplu.202200113] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 09/15/2022] [Indexed: 11/12/2022]
Abstract
This work reports the development of a multifunctional thermosensitive liposomal nanoplatform (PcS4 @Lip-FA) based on a metal-free phthalocyanine modified with tetra-sulfonates (PcPS4 ), which exhibited photodynamic and photothermal activities simultaneously. Upon irradiation with a near infrared laser, thermosensitive PcS4 @Lip-FA could release PcS4 as a result of the local hyperthermia of PcS4 . Interestingly, PcS4 could easily chelate with Cu2+ , leading to the enhancement of photothermal activity and decrease of photodynamic activity. In addition, in vivo fluorescence imaging revealed that PcS4 @Lip-FA could selectively accumulate in tumor tissue of H22 tumor-bearing mice after tail vein injection, and exhibited a significant anticancer phototherapeutic effect, with a tumor inhibition rate of 83.5 %. Therefore, PcPS4 @Lip-FA has realized fluorescence imaging-guided combined cancer treatment, providing a promising multifunctional nanoplatform for cancer diagnostics and therapy.
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Affiliation(s)
- Xin-Yue Ma
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Wen Zhang
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Rong-Bin Que
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Chao Wang
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Wen-Wen Shang
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Yuan-Yuan Zhu
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Bi-Yuan Zheng
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Yu Chen
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, 350000 Fu, Zhou, P. R. China
| | - Mei-Rong Ke
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
| | - Jian-Dong Huang
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, 350108, Fu Zhou, P. R. China
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Liu H, Lv LL, Wen H, Zhao DM, Wu J, Ke MR, Zheng BY, Li J, Li X, Huang JD. Molecular and Supramolecular Approach to Highly Photocytotoxic Phthalocyanines with Dual Cell Uptake Pathways and Albumin-Enhanced Tumor Targeting. ACS Appl Mater Interfaces 2022; 14:28581-28590. [PMID: 35709499 DOI: 10.1021/acsami.2c05814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Phototherapy for non-invasive cancer treatment has been extensively studied. An urgent challenge in phototherapy application is to fabricate appropriate targeted agents to achieve efficient therapeutic effect. Herein, a molecular and supramolecular approach for targeting phototherapy was reasonably designed and realized through the axial sulfonate modification of silicon(IV) phthalocyanines (Pcs), followed by supramolecular interaction with albumin. This approach can not only improve the photoactivities (e.g., fluorescence emission and reactive oxygen species production) of the Pcs but also enhance their tumor targeting. Most importantly, one of the deigned Pcs (4) can target HepG2 cells through dual cell pathways, leading to an extremely high phototoxicity with an EC50 (i.e., concentration of Pcs to kill 50% of cells under light irradiation) value of 2.0 nM. This finding presents a feasible strategy to realize efficient targeting phototherapy.
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Affiliation(s)
- Hao Liu
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Li-Li Lv
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Huang Wen
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Dong-Mei Zhao
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Juhong Wu
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Mei-Rong Ke
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Bi-Yuan Zheng
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Jinyu Li
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
- Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, Xiamen 361005, China
| | - Xingshu Li
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Jian-Dong Huang
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
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Longé C, Bratti M, Kurowska M, Vibhushan S, David P, Desmeure V, Huang JD, Fischer A, de Saint Basile G, Sepulveda FE, Blank U, Ménasché G. Rab44 regulates murine mast cell-driven anaphylaxis through kinesin-1-dependent secretory granule translocation. J Allergy Clin Immunol 2022; 150:676-689. [PMID: 35469841 DOI: 10.1016/j.jaci.2022.04.009] [Citation(s) in RCA: 2] [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: 12/20/2021] [Revised: 03/15/2022] [Accepted: 04/08/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Mast cells (MCs) are key effectors of the allergic response. Following the cross-linking of IgE receptors (FcεRIs), they release crucial inflammatory mediators through degranulation. Although degranulation depends critically on secretory granule (SG) trafficking towards the plasma membrane, the molecular machinery underlying this transport has not been fully characterized. OBJECTIVE Here, we analyzed the function of Rab44, a large atypical Rab GTPase highly expressed in MC, in MC degranulation process. METHODS Murine KO mouse models (KORab44 and DKOKif5b/Rab44) were used to perform passive cutaneous anaphylaxis (PCA) experiments and analyze granule translocation in derived bone-marrow-derived MCs (BMMCs) during degranulation. RESULTS We demonstrate that mice lacking Rab44 (KORab44) in their BMMCs are impaired in their ability to translocate and degranulate SGs at the plasma membrane upon FcεRI stimulation. Accordingly, KORab44 mice were less sensitive to IgE-mediated passive cutaneous anaphylaxis in vivo. A lack of Rab44 did not impair early FcεRI-stimulated signaling pathways, microtubule reorganization, lipid mediator or cytokine secretion. Mechanistically, Rab44 appears to interact with and function as part of the previously described kinesin-1-dependent transport pathway. CONCLUSIONS Our results highlight a novel role of Rab44 as a regulator of SG transport during degranulation and anaphylaxis acting through the kinesin-1-dependent microtubule transport machinery. Rab44 can thus be considered as a potential target for modulating MC degranulation and inhibiting IgE-mediated allergic reactions.
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Affiliation(s)
- Cyril Longé
- Université Paris Cité, Imagine Institute, Laboratory of Molecular basis of altered immune homeostasis, INSERM UMR1163, F-75015 Paris France
| | - Manuela Bratti
- Université Paris Cité, Centre de Recherche sur l'Inflammation, INSERM UMR1149, CNRS EMR8252, Faculté de Médecine site Bichat, Paris, France; Laboratoire d'Excellence Inflamex, F-75018, Paris, France
| | - Mathieu Kurowska
- Université Paris Cité, Imagine Institute, Laboratory of Molecular basis of altered immune homeostasis, INSERM UMR1163, F-75015 Paris France
| | - Shamila Vibhushan
- Université Paris Cité, Centre de Recherche sur l'Inflammation, INSERM UMR1149, CNRS EMR8252, Faculté de Médecine site Bichat, Paris, France; Laboratoire d'Excellence Inflamex, F-75018, Paris, France
| | - Pierre David
- Transgenesis Facility, Laboratoire d'Expérimentation Animale et Transgénèse (LEAT), Imagine Institute, Structure Fédérative de Recherche Necker INSERM US24/CNRS UMS3633, F-75015, Paris, France
| | - Valère Desmeure
- Université Paris Cité, Imagine Institute, Laboratory of Molecular basis of altered immune homeostasis, INSERM UMR1163, F-75015 Paris France
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Alain Fischer
- Université Paris Cité, Imagine Institute, Laboratory of Molecular basis of altered immune homeostasis, INSERM UMR1163, F-75015 Paris France; Immunology and Pediatric Hematology Department, Necker Children's Hospital, AP-HP, F-75015 Paris, France; Collège de France, F-75005 Paris, France
| | - Geneviève de Saint Basile
- Université Paris Cité, Imagine Institute, Laboratory of Molecular basis of altered immune homeostasis, INSERM UMR1163, F-75015 Paris France; Centre d'Etude des Déficits Immunitaires, AP-HP, Hôpital Necker-Enfants Malades, F-75015, Paris, France
| | - Fernando E Sepulveda
- Université Paris Cité, Imagine Institute, Laboratory of Molecular basis of altered immune homeostasis, INSERM UMR1163, F-75015 Paris France; Centre National de la Recherche Scientifique, F-75015, Paris. France
| | - Ulrich Blank
- Université Paris Cité, Centre de Recherche sur l'Inflammation, INSERM UMR1149, CNRS EMR8252, Faculté de Médecine site Bichat, Paris, France; Laboratoire d'Excellence Inflamex, F-75018, Paris, France
| | - Gaël Ménasché
- Université Paris Cité, Imagine Institute, Laboratory of Molecular basis of altered immune homeostasis, INSERM UMR1163, F-75015 Paris France
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31
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Zhang BZ, Shuai H, Gong HR, Hu JC, Yan B, Yuen TTT, Hu YF, Yoon C, Wang XL, Hou Y, Lin X, Huang X, Li R, Au-Yeung YM, Li W, Hu B, Chai Y, Yue M, Cai JP, Ling GS, Hung IFN, Yuen KY, Chan JFW, Huang JD, Chu H. Bacillus Calmette-Guérin-induced trained immunity protects against SARS-CoV-2 challenge in K18-hACE2 mice. JCI Insight 2022; 7:157393. [PMID: 35446790 PMCID: PMC9220951 DOI: 10.1172/jci.insight.157393] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [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: 12/08/2021] [Accepted: 04/20/2022] [Indexed: 11/17/2022] Open
Abstract
SARS-CoV-2 has been confirmed in over 450 million confirmed cases since 2019. Although several vaccines have been certified by the WHO and people are being vaccinated on a global scale, it has been reported that multiple SARS-CoV-2 variants can escape neutralization by antibodies, resulting in vaccine breakthrough infections. Bacillus Calmette-Guérin (BCG) is known to induce heterologous protection based on trained immune responses. Here, we investigated whether BCG-induced trained immunity protected against SARS-CoV-2 in the K18-hACE2 mouse model. Our data demonstrate that i.v. BCG (BCG-i.v.) vaccination induces robust trained innate immune responses and provides protection against WT SARS-CoV-2, as well as the B.1.617.1 and B.1.617.2 variants. Further studies suggest that myeloid cell differentiation and activation of the glycolysis pathway are associated with BCG-induced training immunity in K18-hACE2 mice. Overall, our study provides the experimental evidence that establishes a causal relationship between BCG-i.v. vaccination and protection against SARS-CoV-2 challenge.
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Affiliation(s)
- Bao-Zhong Zhang
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shen Zhen, China
| | - Huiping Shuai
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Hua-Rui Gong
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Jing-Chu Hu
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shen Zhen, China
| | - Bingpeng Yan
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | | | - Ye-Fan Hu
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Chaemin Yoon
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Xiao-Lei Wang
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Yuxin Hou
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Xuansheng Lin
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Xiner Huang
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Renhao Li
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Yee Man Au-Yeung
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wenjun Li
- Shenzhen Institutes of Advanced Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shen Zhen, China
| | - Bingjie Hu
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Yue Chai
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Ming Yue
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Jian-Piao Cai
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Guang Sheng Ling
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Ivan Fan-Ngai Hung
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Kwok-Yung Yuen
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Jasper Fuk-Woo Chan
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Jian-Dong Huang
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Hin Chu
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong
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32
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Hu YF, Hu JC, Gong HR, Danchin A, Sun R, Chu H, Hung IFN, Yuen KY, To KKW, Zhang BZ, Yau T, Huang JD. Computation of Antigenicity Predicts SARS-CoV-2 Vaccine Breakthrough Variants. Front Immunol 2022; 13:861050. [PMID: 35401572 PMCID: PMC8987580 DOI: 10.3389/fimmu.2022.861050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/25/2022] [Indexed: 11/13/2022] Open
Abstract
It has been reported that multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) including Alpha, Beta, Gamma, and Delta can reduce neutralization by antibodies, resulting in vaccine breakthrough infections. Virus–antiserum neutralization assays are typically performed to monitor potential vaccine breakthrough strains. However, experiment-based methods took several weeks whether newly emerging variants can break through current vaccines or therapeutic antibodies. To address this, we sought to establish a computational model to predict the antigenicity of SARS-CoV-2 variants by sequence alone. In this study, we firstly identified the relationship between the antigenic difference transformed from the amino acid sequence and the antigenic distance from the neutralization titers. Based on this correlation, we obtained a computational model for the receptor-binding domain (RBD) of the spike protein to predict the fold decrease in virus–antiserum neutralization titers with high accuracy (~0.79). Our predicted results were comparable to experimental neutralization titers of variants, including Alpha, Beta, Delta, Gamma, Epsilon, Iota, Kappa, and Lambda, as well as SARS-CoV. Here, we predicted the fold of decrease of Omicron as 17.4-fold less susceptible to neutralization. We visualized all 1,521 SARS-CoV-2 lineages to indicate variants including Mu, B.1.630, B.1.633, B.1.649, and C.1.2, which can induce vaccine breakthrough infections in addition to reported VOCs Beta, Gamma, Delta, and Omicron. Our study offers a quick approach to predict the antigenicity of SARS-CoV-2 variants as soon as they emerge. Furthermore, this approach can facilitate future vaccine updates to cover all major variants. An online version can be accessed at http://jdlab.online.
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Affiliation(s)
- Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China
| | - Jing-Chu Hu
- Chinese Academy of Sciences Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hua-Rui Gong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Antoine Danchin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Kodikos Labs, Paris, France
| | - Ren Sun
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Hin Chu
- Department of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong SARS, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China
| | - Kwok Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong SARS, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong SARS, China
| | - Bao-Zhong Zhang
- Chinese Academy of Sciences Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- *Correspondence: Bao-Zhong Zhang, ; Thomas Yau, ; Jian-Dong Huang,
| | - Thomas Yau
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China
- *Correspondence: Bao-Zhong Zhang, ; Thomas Yau, ; Jian-Dong Huang,
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Chinese Academy of Sciences Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou, China
- *Correspondence: Bao-Zhong Zhang, ; Thomas Yau, ; Jian-Dong Huang,
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Saravanan UB, Namachivayam M, Jeewon R, Huang JD, Durairajan SSK. Animal models for SARS-CoV-2 and SARS-CoV-1 pathogenesis, transmission and therapeutic evaluation. World J Virol 2022; 11:40-56. [PMID: 35117970 PMCID: PMC8788210 DOI: 10.5501/wjv.v11.i1.40] [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] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/22/2021] [Accepted: 11/25/2021] [Indexed: 02/06/2023] Open
Abstract
There is a critical need to develop animal models to alleviate vaccine and drug development difficulties against zoonotic viral infections. The coronavirus family, which includes severe acute respiratory syndrome coronavirus 1 and severe acute respiratory syndrome coronavirus 2, crossed the species barrier and infected humans, causing a global outbreak in the 21st century. Because humans do not have pre-existing immunity against these viral infections and with ethics governing clinical trials, animal models are therefore being used in clinical studies to facilitate drug discovery and testing efficacy of vaccines. The ideal animal models should reflect the viral replication, clinical signs, and pathological responses observed in humans. Different animal species should be tested to establish an appropriate animal model to study the disease pathology, transmission and evaluation of novel vaccine and drug candidates to treat coronavirus disease 2019. In this context, the present review summarizes the recent progress in developing animal models for these two pathogenic viruses and highlights the utility of these models in studying SARS-associated coronavirus diseases.
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Affiliation(s)
- Udhaya Bharathy Saravanan
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur 610005, India
| | - Mayurikaa Namachivayam
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur 610005, India
| | - Rajesh Jeewon
- Department of Health Sciences, Faculty of Medicine and Health Sciences, University of Mauritius, Reduit 80837, Mauritius
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong Province, China
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34
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Shuai H, Chan JFW, Hu B, Chai Y, Yuen TTT, Yin F, Huang X, Yoon C, Hu JC, Liu H, Shi J, Liu Y, Zhu T, Zhang J, Hou Y, Wang Y, Lu L, Cai JP, Zhang AJ, Zhou J, Yuan S, Brindley MA, Zhang BZ, Huang JD, To KKW, Yuen KY, Chu H. Attenuated replication and pathogenicity of SARS-CoV-2 B.1.1.529 Omicron. Nature 2022; 603:693-699. [PMID: 35062016 DOI: 10.1038/s41586-022-04442-5] [Citation(s) in RCA: 362] [Impact Index Per Article: 181.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/19/2022] [Indexed: 11/09/2022]
Abstract
SARS-CoV-2 Omicron emerged in November 2021 and is rapidly spreading among the human population1. While recent reports reveal that the Omicron variant robustly escapes from vaccine and therapeutic neutralization antibodies2-10, the pathogenicity of the virus remains unknown. Here we show that the replication of the Omicron variant is dramatically attenuated in Calu3 and Caco2 cells. Further mechanistic investigations reveal that the Omicron variant is inefficient in transmembrane serine protease 2 (TMPRSS2) usage in comparison to that of WT and previous variants, which may explain its reduced replication in Calu3 and Caco2 cells. Omicron replication is markedly attenuated in both the upper and lower respiratory tract of infected K18-hACE2 mice in comparison to that of WT and Delta variant, which results in its dramatically ameliorated lung pathology. When compared with SARS-CoV-2 WT, Alpha, Beta, and Delta variant, infection by the Omicron variant causes the least body weight loss and mortality rate. Overall, our study demonstrates that the Omicron variant is attenuated in virus replication and pathogenicity in mice in comparison with WT and previous variants.
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Affiliation(s)
- Huiping Shuai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Bingjie Hu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Yue Chai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Terrence Tsz-Tai Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Feifei Yin
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan, China.,Academician Workstation of Hainan Province, Hainan Medical University, Haikou, Hainan, People's Republic of China.,Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, China
| | - Xiner Huang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Chaemin Yoon
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Jing-Chu Hu
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Huan Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Jialu Shi
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Yuanchen Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Tianrenzheng Zhu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Jinjin Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Yuxin Hou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Yixin Wang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Lu Lu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Jian-Piao Cai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Anna Jinxia Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Jie Zhou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.,Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital; Shenzhen, Guangdong, People's Republic of China
| | - Melinda A Brindley
- Department of Infectious Diseases, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, GA, 30602, USA
| | - Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China
| | - Kelvin Kai-Wang To
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.,Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital; Shenzhen, Guangdong, People's Republic of China.,Department of Microbiology, Queen Mary Hospital; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.,Guangzhou Laboratory, Guangzhou, Guangdong Province, China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China. .,Academician Workstation of Hainan Province, Hainan Medical University, Haikou, Hainan, People's Republic of China. .,Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, China. .,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China. .,Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital; Shenzhen, Guangdong, People's Republic of China. .,Department of Microbiology, Queen Mary Hospital; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China. .,Guangzhou Laboratory, Guangzhou, Guangdong Province, China.
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China. .,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China. .,Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital; Shenzhen, Guangdong, People's Republic of China.
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Tan YN, Li YP, Huang JD, Luo M, Li SS, Lee AWM, Hu FQ, Guan XY. Thermal-sensitive lipid nanoparticles potentiate anti-PD therapy through enhancing drug penetration and T lymphocytes infiltration in metastatic tumor. Cancer Lett 2021; 522:238-254. [PMID: 34571084 DOI: 10.1016/j.canlet.2021.09.031] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 05/12/2021] [Revised: 09/06/2021] [Accepted: 09/21/2021] [Indexed: 12/12/2022]
Abstract
The response rate of anti-PD therapy in most cancer patients remains low. Therapeutic drug and tumor-infiltrating lymphocytes (TILs) are usually obstructed by the stromal region within tumor microenvironment (TME) rather than distributed around tumor cells, thus unable to induce the immune response of cytotoxic T cells. Here, we constructed the cationic thermosensitive lipid nanoparticles IR780/DPPC/BMS by introducing cationic NIR photosensitizer IR-780 iodide (IR780) modified lipid components, thermosensitive lipid DPPC and PD-1/PD-L1 inhibitor BMS202 (BMS). Upon laser irradiation, IR780/DPPC/BMS penetrated into deep tumor, and reduced cancer-associated fibroblasts (CAFs) around tumor cells to remodel the spatial distribution of TILs in TME. Interestingly, the cationic IR780/DPPC/BMS could capture released tumor-associated antigens (TAAs), thereby enhancing the antigen-presenting ability of DCs to activate cytotoxic T lymphocytes. Moreover, IR780/DPPC/BMS initiated gel-liquid crystal phase transition under laser irradiation, accelerating the disintegration of lipid bilayer structure and leading to the responsive release of BMS, which would reverse the tumor immunosuppression state by blocking PD-1/PD-L1 pathway for a long term. This combination treatment can synergistically exert the antitumor immune response and inhibit the tumor growth and metastasis.
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Affiliation(s)
- Ya-Nan Tan
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518053, China; CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yong-Peng Li
- Department of Urology, The Third Affiliated Hospital of Shenzhen University (Luohu Hospital Group), Shenzhen, 518000, China
| | - Jian-Dong Huang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Min Luo
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518053, China
| | - Shan-Shan Li
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518053, China
| | - Anne Wing-Mui Lee
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518053, China; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, 00852, China
| | - Fu-Qiang Hu
- College of Pharmaceutical Science, Zhejiang University, Hangzhou, 310058, China
| | - Xin-Yuan Guan
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518053, China; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, 00852, China.
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Zhao PH, Wu YL, Li XY, Feng LL, Zhang L, Zheng BY, Ke MR, Huang JD. Aggregation-Enhanced Sonodynamic Activity of Phthalocyanine-Artesunate Conjugates. Angew Chem Int Ed Engl 2021; 61:e202113506. [PMID: 34761489 DOI: 10.1002/anie.202113506] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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: 10/05/2021] [Revised: 11/05/2021] [Indexed: 12/15/2022]
Abstract
The clinical prospect of sonodynamic therapy (SDT) has not been fully realized due to the scarcity of efficient sonosensitizers. Herein, we designed phthalocyanine-artesunate conjugates (e.g. ZnPcT4 A), which could generate up to ca. 10-fold more reactive oxygen species (ROS) than the known sonosensitizer protoporphyrin IX. Meanwhile, an interesting and significant finding of aggregation-enhanced sonodynamic activity (AESA) was observed for the first time. ZnPcT4 A showed about 60-fold higher sonodynamic ROS generation in the aggregated form than in the disaggregated form in aqueous solutions. That could be attributed to the boosted ultrasonic cavitation of nanostructures. The level of the AESA effect depended on the aggregation ability of sonosensitizer molecules and the particle size of their aggregates. Moreover, biological studies demonstrated that ZnPcT4 A had high anticancer activities and biosafety. This study thus opens up a new avenue the development of efficient organic sonosensitizers.
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Affiliation(s)
- Peng-Hui Zhao
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
| | - Yu-Lin Wu
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
| | - Xue-Yan Li
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
| | - Lin-Lin Feng
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
| | - Ling Zhang
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
| | - Bi-Yuan Zheng
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
| | - Mei-Rong Ke
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
| | - Jian-Dong Huang
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, Fujian, 350108, China
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Shuai H, Chan JFW, Yuen TTT, Yoon C, Hu JC, Wen L, Hu B, Yang D, Wang Y, Hou Y, Huang X, Chai Y, Chan CCS, Poon VKM, Lu L, Zhang RQ, Chan WM, Ip JD, Chu AWH, Hu YF, Cai JP, Chan KH, Zhou J, Sridhar S, Zhang BZ, Yuan S, Zhang AJ, Huang JD, To KKW, Yuen KY, Chu H. Emerging SARS-CoV-2 variants expand species tropism to murines. EBioMedicine 2021; 73:103643. [PMID: 34689086 PMCID: PMC8530107 DOI: 10.1016/j.ebiom.2021.103643] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 10/07/2021] [Accepted: 10/07/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Wildtype mice are not susceptible to SARS-CoV-2 infection. Emerging SARS-CoV-2 variants, including B.1.1.7, B.1.351, P.1, and P.3, contain mutations in spike that has been suggested to associate with an increased recognition of mouse ACE2, raising the postulation that these SARS-CoV-2 variants may have evolved to expand species tropism to wildtype mouse and potentially other murines. Our study evaluated this possibility with substantial public health importance. METHODS We investigated the capacity of wildtype (WT) SARS-CoV-2 and SARS-CoV-2 variants in infecting mice (Mus musculus) and rats (Rattus norvegicus) under in vitro and in vivo settings. Susceptibility to infection was evaluated with RT-qPCR, plaque assays, immunohistological stainings, and neutralization assays. FINDINGS Our results reveal that B.1.1.7 and other N501Y-carrying variants but not WT SARS-CoV-2 can infect wildtype mice. High viral genome copies and high infectious virus particle titres are recovered from the nasal turbinate and lung of B.1.1.7-inocluated mice for 4-to-7 days post infection. In agreement with these observations, robust expression of viral nucleocapsid protein and histopathological changes are detected from the nasal turbinate and lung of B.1.1.7-inocluated mice but not that of the WT SARS-CoV-2-inoculated mice. Similarly, B.1.1.7 readily infects wildtype rats with production of infectious virus particles. INTERPRETATION Our study provides direct evidence that the SARS-CoV-2 variant, B.1.1.7, as well as other N501Y-carrying variants including B.1.351 and P.3, has gained the capability to expand species tropism to murines and public health measures including stringent murine control should be implemented to facilitate the control of the ongoing pandemic. FUNDING A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
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Affiliation(s)
- Huiping Shuai
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Academician workstation of Hainan Province, Hainan Medical University, and Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
| | - Terrence Tsz-Tai Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Chaemin Yoon
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jing-Chu Hu
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Lei Wen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Bingjie Hu
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Dong Yang
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yixin Wang
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yuxin Hou
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Xiner Huang
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yue Chai
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Chris Chung-Sing Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Vincent Kwok-Man Poon
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Lu Lu
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Rui-Qi Zhang
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Wan-Mui Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, China
| | - Jian-Piao Cai
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kwok-Hung Chan
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jie Zhou
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Siddharth Sridhar
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
| | - Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Anna Jinxia Zhang
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Jian-Dong Huang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong; Pokfulam, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China; Academician workstation of Hainan Province, Hainan Medical University, and Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.
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Zhang BZ, Hu D, Dou Y, Xiong L, Wang X, Hu J, Xing SZ, Li W, Cai JP, Jin M, Zhang M, Lin Q, Li M, Yuen KY, Huang JD. Identification and Evaluation of Recombinant Outer Membrane Proteins as Vaccine Candidates Against Klebsiella pneumoniae. Front Immunol 2021; 12:730116. [PMID: 34745099 PMCID: PMC8564470 DOI: 10.3389/fimmu.2021.730116] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 09/20/2021] [Indexed: 11/13/2022] Open
Abstract
Klebsiella pneumoniae found in the normal flora of the human oral and intestinal tract mainly causes hospital-acquired infections but can also cause community-acquired infections. To date, most clinical trials of vaccines against K. pneumoniae have ended in failure. Furthermore, no single conserved protein has been identified as an antigen candidate to accelerate vaccine development. In this study, we identified five outer membrane proteins of K. pneumoniae, namely, Kpn_Omp001, Kpn_Omp002, Kpn_Omp003, Kpn_Omp004, and Kpn_Omp005, by using reliable second-generation proteomics and bioinformatics. Mice vaccinated with these five KOMPs elicited significantly higher antigen-specific IgG, IgG1, and IgG2a. However, only Kpn_Omp001, Kpn_Omp002, and Kpn_Omp005 were able to induce a protective immune response with two K. pneumoniae infection models. These protective effects were accompanied by the involvement of different immune responses induced by KOMPs, which included KOMPs-specific IFN-γ-, IL4-, and IL17A-mediated immune responses. These findings indicate that Kpn_Omp001, Kpn_Omp002, and Kpn_Omp005 are three potential Th1, Th2, and Th17 candidate antigens, which could be developed into multivalent and serotype-independent vaccines against K. pneumoniae infection.
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Affiliation(s)
- Bao-Zhong Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Danyu Hu
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ying Dou
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
| | - Lifeng Xiong
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
| | - Xiaolei Wang
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
| | - Jingchu Hu
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Shao-Zhen Xing
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
| | - Wenjun Li
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jian-Piao Cai
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
| | - Meiling Jin
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Mengya Zhang
- Vaccine and Antibody Engineering, HKU-Zhejiang Institute of Research and Innovation (HKU-ZIRI), Hangzhou, China
| | - Qiubin Lin
- Vaccine and Antibody Engineering, HKU-Zhejiang Institute of Research and Innovation (HKU-ZIRI), Hangzhou, China
| | - Min Li
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, Hong Kong, SAR China
| | - Kwok-Yung Yuen
- Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
| | - Jian-Dong Huang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
- Vaccine and Antibody Engineering, HKU-Zhejiang Institute of Research and Innovation (HKU-ZIRI), Hangzhou, China
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Guguloth SK, Lakshmi A R, Rajendran R, Rajaram K, Chinnasamy T, Huang JD, Zhang H, Senapati S, Durairajan SSK. A Mechanistic Review on Plant-derived Natural Inhibitors of Human Coronaviruses with Emphasis on SARS-COV-1 and SARS-COV-2. Curr Drug Targets 2021; 23:818-835. [PMID: 34636297 DOI: 10.2174/1389450122666211005115313] [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: 02/09/2021] [Revised: 09/06/2021] [Accepted: 09/06/2021] [Indexed: 11/22/2022]
Abstract
Coronaviruses have been receiving continuous attention worldwide as they have caused a serious threat to global public health. This group of viruses is named so as they exhibit characteristic crown-like spikes on their protein coat. SARS-CoV-2, a type of coronavirus that emerged in 2019, causes severe infection in the lower respiratory tract of humans and is often fatal in immunocompromised individuals. No medications have been approved so far for the direct treatment of SARS-CoV-2 infection, and the currently available treatment options rely on relieving the symptoms. The medicinal plants occurring in nature serve as a rich source of active ingredients that could be utilized for developing pharmacopeial and non-pharmacopeial/synthetic drugs with antiviral properties. Compounds obtained from certain plants have been used for directly and selectively inhibiting different coronaviruses, including SARS-CoV, MERS-CoV, and SARS-CoV-2. The present review discusses the potential natural inhibitors against the highly pathogenic human coronaviruses, with a systematic elaboration on the possible mechanisms of action of these natural compounds while acting in the different stages of the life cycle of coronaviruses. Moreover, through a comprehensive exploration of the existing literature in this regard, the importance of such compounds in the research and development of effective and safe antiviral agents is discussed. We focused on the mechanism of action of several natural compounds along with their target of action. In addition, the immunomodulatory effects of these active components in the context of human health are elucidated. Finally, it is suggested that the use of traditional medicinal plants is a novel and feasible remedial strategy against human coronaviruses.
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Affiliation(s)
- Sai Krishna Guguloth
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur. India
| | - Lakshmi A R
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur. India
| | - Radhika Rajendran
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur. India
| | - Kaushik Rajaram
- Department of Microbiology, School of Life Sciences, Central University of Tamil Nadu, Tiruvarur. India
| | | | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, , Pokfulam, Hong Kong. China
| | - Hongjie Zhang
- School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong,. China
| | - Sanjib Senapati
- Department of Biotechnology and BJM School of Biosciences, Indian Institute of Technology Madras, Chennai. India
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Zhao YY, Zhang L, Chen Z, Zheng BY, Ke M, Li X, Huang JD. Nanostructured Phthalocyanine Assemblies with Efficient Synergistic Effect of Type I Photoreaction and Photothermal Action to Overcome Tumor Hypoxia in Photodynamic Therapy. J Am Chem Soc 2021; 143:13980-13989. [PMID: 34425676 DOI: 10.1021/jacs.1c07479] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Most photodynamic therapy (PDT) paradigms work through the highly O2-dependent type II photoreaction to generate singlet oxygen (1O2). The hypoxic microenvironment of solid tumors severely hampers therapeutic outcomes. Here, we present a novel design that could transfer the photophysical and photochemical properties of traditional phthalocyanine-based photosensitizers from type II photoreaction to efficient type I photoreaction and vibrational relaxation-induced photothermal conversion. These features enable the obtained nanostructured phthalocyanine assemblies (e.g., NanoPcAF) to display excellent phototherapies under both normoxic and hypoxic conditions. Moreover, NanoPcAF has a high level of accumulation in tumor tissues after intravenous injection, and 94% of tumor growth is inhibited in a preclinical model at a NanoPcAF dose of 0.8 nmol g-1 and light dose of 300 J cm-2.
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Affiliation(s)
- Yuan-Yuan Zhao
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Ling Zhang
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Zixuan Chen
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Bi-Yuan Zheng
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Meirong Ke
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Xingshu Li
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Jian-Dong Huang
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
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Deng J, Zhang BZ, Chu H, Wang XL, Wang Y, Gong HR, Li R, Yang D, Li C, Dou Y, Gao P, Cai JP, Jin M, Du Q, Chan JFW, Kao RYT, Yuen KY, Huang JD. Adenosine synthase A contributes to recurrent Staphylococcus aureus infection by dampening protective immunity. EBioMedicine 2021; 70:103505. [PMID: 34332295 PMCID: PMC8340124 DOI: 10.1016/j.ebiom.2021.103505] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 03/14/2021] [Revised: 07/13/2021] [Accepted: 07/13/2021] [Indexed: 02/07/2023] Open
Abstract
Background: Staphylococcus aureus is a common human pathogen capable of causing diverse illnesses with possible recurrent infections. Although recent studies have highlighted the role of cellular immunity in recurrent infections, the mechanism by which S. aureus evades host responses remains largely unexplored. Methods: This study utilizes in vitro and in vivo infection experiments to investigate difference of pro-inflammatory responses and subsequent adaptive immune responses between adsA mutant and WT S. aureus strain infection. Findings: We demonstrated that adenosine synthase A (AdsA), a potent S. aureus virulence factor, can alter Th17 responses by interfering with NLRP3 inflammasome-mediated IL-1β production. Specifically, S. aureus virulence factor AdsA dampens Th1/Th17 immunity by limiting the release of IL-1β and other Th polarizing cytokines. In particular, AdsA obstructs the release of IL-1β via the adenosine/A2aR/NLRP3 axis. Using a murine infection model, pharmacological inhibition of A2a receptor enhanced S. aureus-specific Th17 responses, whereas inhibition of NLRP3 and caspase-1 downregulated these responses. Our results showed that AdsA contributes to recurrent S. aureus infection by restraining protective Th1/Th17 responses. Interpretation: Our study provides important mechanistic insights for therapeutic and vaccination strategies against S. aureus infections.
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Affiliation(s)
- Jian Deng
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
| | - Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Hin Chu
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
| | - Xiao-Lei Wang
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
| | - Yixin Wang
- Department of Microbiology, The University of Hong Kong, Hong Kong, China
| | - Hua-Rui Gong
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
| | - Renhao Li
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
| | - Dong Yang
- Department of Microbiology, The University of Hong Kong, Hong Kong, China
| | - Cun Li
- Department of Microbiology, The University of Hong Kong, Hong Kong, China
| | - Ying Dou
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
| | - Peng Gao
- Department of Microbiology, The University of Hong Kong, Hong Kong, China
| | - Jian-Piao Cai
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
| | - Meilin Jin
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Qian Du
- The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Jasper Fuk-Woo Chan
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
| | | | - Kwok-Yung Yuen
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China; CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
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42
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Zhang BZ, Wang X, Yuan S, Li W, Dou Y, Poon VKM, Chan CCS, Cai JP, Chik KK, Tang K, Chan CCY, Hu YF, Hu JC, Badea SR, Gong HR, Lin X, Chu H, Li X, To KKW, Liu L, Chen Z, Hung IFN, Yuen KY, Chan JFW, Huang JD. A novel linker-immunodominant site (LIS) vaccine targeting the SARS-CoV-2 spike protein protects against severe COVID-19 in Syrian hamsters. Emerg Microbes Infect 2021; 10:874-884. [PMID: 33890550 PMCID: PMC8118541 DOI: 10.1080/22221751.2021.1921621] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic is unlikely to abate until sufficient herd immunity is built up by either natural infection or vaccination. We previously identified ten linear immunodominant sites on the SARS-CoV-2 spike protein of which four are located within the RBD. Therefore, we designed two linkerimmunodominant site (LIS) vaccine candidates which are composed of four immunodominant sites within the RBD (RBD-ID) or all the 10 immunodominant sites within the whole spike (S-ID). They were administered by subcutaneous injection and were tested for immunogenicity and in vivo protective efficacy in a hamster model for COVID-19. We showed that the S-ID vaccine induced significantly better neutralizing antibody response than RBD-ID and alum control. As expected, hamsters vaccinated by S-ID had significantly less body weight loss, lung viral load, and histopathological changes of pneumonia. The S-ID has the potential to be an effective vaccine for protection against COVID-19.
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Affiliation(s)
- Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Xiaolei Wang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Wenjun Li
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Ying Dou
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Vincent Kwok-Man Poon
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Chris Chung-Sing Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Jian-Piao Cai
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Kenn KaHeng Chik
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Kaiming Tang
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Chris Chun-Yiu Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Jing-Chu Hu
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Smaranda Ruxandra Badea
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Hua-Rui Gong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Xuansheng Lin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Xuechen Li
- Department of Chemistry, Faculty of Science, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Kelvin Kai-Wang To
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Li Liu
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,AIDS Institute, Li Ka Shing Faculty of Medicine, The University of Hong Kong, People's Republic of China
| | - Zhiwei Chen
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,AIDS Institute, Li Ka Shing Faculty of Medicine, The University of Hong Kong, People's Republic of China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Kwok Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
| | - Jian-Dong Huang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.,School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, People's Republic of China
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43
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Huo D, Yang H, Huang JD, Cai JP, Cui J. Roles of kinesin superfamily proteins in colorectal cancer carcinogenesis (Review). Oncol Rep 2021; 46:121. [PMID: 33955521 DOI: 10.3892/or.2021.8072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 12/11/2020] [Accepted: 04/02/2021] [Indexed: 11/06/2022] Open
Abstract
Colorectal cancer (CRC), a commonly occurring carcinoma, now ranks the second in terms of cancer‑associated deaths around the world. Among the numerous factors that contribute to CRC tumor progression, a class of motor proteins known as the kinesins has been found to play a vital role. Kinesins are responsible for the intracellular trafficking of functional proteins, organelles and biomacromolecules along microtubules. Dysregulation of kinesins has been revealed to influence the cell cycle to cause abnormal cell growth and affect cell adhesion to promote epithelial‑mesenchymal transition in breast, bladder, ovarian and prostate cancer. Studies on the function of kinesins in CRC have also been performed, although, to the best of our knowledge, little is known about the underlying mechanisms of kinesins in CRC progression. The present review outlines the roles played by different kinesins in CRC carcinogenesis, mainly discussing the most studied subfamilies (kinesin 3‑6, 8, 10, 11 and 13), This review aims to illustrate the functions of kinesins in CRC cell growth, cancer metastasis and chemoresistance to provide insights regarding kinesins as potential targets for determining CRC prognosis and selecting therapy.
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Affiliation(s)
- Da Huo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Hua Yang
- Department of General Surgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Jian-Dong Huang
- School of Biomedical Sciences and Shenzhen Institute of Research and Innovation, University of Hong Kong, Hong Kong, SAR, P.R. China
| | - Jian-Ping Cai
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Ju Cui
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, P.R. China
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Lin Q, Rong L, Jia X, Li R, Yu B, Hu J, Luo X, Badea SR, Xu C, Fu G, Lai K, Lee MC, Zhang B, Gong H, Zhou N, Chen XL, Lin SH, Fu G, Huang JD. IFN-γ-dependent NK cell activation is essential to metastasis suppression by engineered Salmonella. Nat Commun 2021; 12:2537. [PMID: 33953170 PMCID: PMC8099885 DOI: 10.1038/s41467-021-22755-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [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: 01/28/2020] [Accepted: 03/25/2021] [Indexed: 02/07/2023] Open
Abstract
Metastasis accounts for 90% of cancer-related deaths and, currently, there are no effective clinical therapies to block the metastatic cascade. A need to develop novel therapies specifically targeting fundamental metastasis processes remains urgent. Here, we demonstrate that Salmonella YB1, an engineered oxygen-sensitive strain, potently inhibits metastasis of a broad range of cancers. This process requires both IFN-γ and NK cells, as the absence of IFN-γ greatly reduces, whilst depletion of NK cells in vivo completely abolishes, the anti-metastatic ability of Salmonella. Mechanistically, we find that IFN-γ is mainly produced by NK cells during early Salmonella infection, and in turn, IFN-γ promotes the accumulation, activation, and cytotoxicity of NK cells, which kill the metastatic cancer cells thus achieving an anti-metastatic effect. Our findings highlight the significance of a self-regulatory feedback loop of NK cells in inhibiting metastasis, pointing a possible approach to develop anti-metastatic therapies by harnessing the power of NK cells.
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Affiliation(s)
- Qiubin Lin
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China ,HKU-Zhejiang Institute of Research and Innovation (HKU-ZIRI), Hangzhou, China
| | - Li Rong
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China
| | - Xian Jia
- grid.12955.3a0000 0001 2264 7233State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Medicine, Xiamen University, Xiamen, China
| | - Renhao Li
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China ,grid.194645.b0000000121742757Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China
| | - Bin Yu
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China
| | - Jingchu Hu
- grid.9227.e0000000119573309Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xiao Luo
- grid.9227.e0000000119573309Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - S. R. Badea
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China
| | - Chen Xu
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China
| | - Guofeng Fu
- grid.12955.3a0000 0001 2264 7233State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Medicine, Xiamen University, Xiamen, China
| | - Kejiong Lai
- grid.12955.3a0000 0001 2264 7233State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Medicine, Xiamen University, Xiamen, China
| | - Ming-chun Lee
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China
| | - Baozhong Zhang
- grid.9227.e0000000119573309Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Huarui Gong
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China
| | - Nan Zhou
- grid.9227.e0000000119573309Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xiao Lei Chen
- grid.12955.3a0000 0001 2264 7233State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Medicine, Xiamen University, Xiamen, China ,grid.12955.3a0000 0001 2264 7233Cancer Research Center of Xiamen University, Xiamen, China
| | - Shu-hai Lin
- grid.12955.3a0000 0001 2264 7233State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Medicine, Xiamen University, Xiamen, China
| | - Guo Fu
- grid.12955.3a0000 0001 2264 7233State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Medicine, Xiamen University, Xiamen, China ,grid.12955.3a0000 0001 2264 7233Cancer Research Center of Xiamen University, Xiamen, China
| | - Jian-Dong Huang
- grid.194645.b0000000121742757School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China ,HKU-Zhejiang Institute of Research and Innovation (HKU-ZIRI), Hangzhou, China ,grid.9227.e0000000119573309Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Zheng BD, Huang ZL, Lv LL, Lan WL, Hu JQ, Li X, Zheng BY, Ke MR, Huang JD. A pH-sensitive nanoagent self-assembled from a highly negatively-charged phthalocyanine with excellent biosafety for photothermal therapy. J Mater Chem B 2021; 9:2845-2853. [PMID: 33704321 DOI: 10.1039/d0tb02981e] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Photothermal therapy (PTT) is a promising strategy for cancer treatment. However, the development of highly efficient photothermal agents with excellent biosafety, particularly with low liver retention, is very meaningful for clinical applications, but it is also challenging. We herein prepared a pH-sensitive nanoagent (NanoPc3) by the self-assembly of a zinc(ii) phthalocyanine substituted with hexadeca-sulphonates linked by hydrazone bonds for photoacoustic imaging and PTT. Due to the highly negative surface potential (-30.80 mV in water), NanoPc3 could effectively escape the phagocytosis of the reticuloendothelial system and be rapidly cleared from normal tissues, leading to little accumulation in the liver and excellent biosafety. The highly negatively-charged NanoPc3 changed into nearly neutral nanoparticles (NanoPc3H) under slightly acidic conditions, resulting in enhanced cellular uptake and retention time in tumor tissues. Moreover, the tumor of H22 tumor-bearing mice treated with NanoPc3 almost disappeared, suggesting an outstanding photothermal antitumor effect. NanoPc3 also hardly showed skin phototoxicity under irradiation. Its excellent antitumor effect and biosafety make NanoPc3 highly promising in clinical applications. This work will provide a new strategy for the design of tumor-targeted photothermal nanoagents with high biosafety.
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Affiliation(s)
- Bing-De Zheng
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350116, China.
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46
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Yu J, Kuwentrai C, Huang JD, Xu C. Carbon-based nanomaterials for viral infection management. Biomicrofluidics 2021; 15:011501. [PMID: 33425089 PMCID: PMC7785324 DOI: 10.1063/5.0032427] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 12/16/2020] [Indexed: 05/07/2023]
Abstract
Carbon-based nanomaterials such as graphene and nanodiamonds have demonstrated impressive physical and chemical properties, such as remarkable strength, corrosion resistance, and excellent electrical and thermal conductivity, and stability. Because of these unique characteristics, carbon nanomaterials are explored in a wide range of fields, including the diagnosis and treatment of viruses. As there are emerging concerns about the control of virus including Middle East respiratory syndrome virus (MERS), severe acute respiratory syndrome coronavirus (SARS-CoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), this review highlights the recent development of carbon based-nanomaterials for the management of viral infections.
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Affiliation(s)
- Jinming Yu
- Department of Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR, China
| | - Chaiyaporn Kuwentrai
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 21 Sassoon Road, Hong Kong SAR, China
| | | | - Chenjie Xu
- Department of Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR, China
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Kuwentrai C, Yu J, Rong L, Zhang BZ, Hu YF, Gong HR, Dou Y, Deng J, Huang JD, Xu C. Intradermal delivery of receptor-binding domain of SARS-CoV-2 spike protein with dissolvable microneedles to induce humoral and cellular responses in mice. Bioeng Transl Med 2020; 6:e10202. [PMID: 33349797 PMCID: PMC7744900 DOI: 10.1002/btm2.10202] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [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: 09/09/2020] [Revised: 10/08/2020] [Accepted: 10/12/2020] [Indexed: 01/24/2023] Open
Abstract
The S1 subunit of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) spike protein contains an immunogenic receptor‐binding domain (RBD), which is a promising candidate for the development of a potential vaccine. This study demonstrated that intradermal delivery of an S‐RBD vaccine using a dissolvable microneedle skin patch can induce both significant B‐cell and significant T‐cell responses against S‐RBD. Importantly, the outcomes were comparable to that of conventional bolus injection.
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Affiliation(s)
- Chaiyaporn Kuwentrai
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China
| | - Jinming Yu
- Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR China
| | - Li Rong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China
| | - Bao-Zhong Zhang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China.,Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
| | - Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China.,Department of Medicine University of Hong Kong, Queen Mary Hospital Hong Kong China
| | - Hua-Rui Gong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China
| | - Ying Dou
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China
| | - Jian Deng
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine University of Hong Kong Hong Kong SAR China.,Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
| | - Chenjie Xu
- Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR China
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48
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Zhao PH, Ma ST, Hu JQ, Zheng BY, Ke MR, Huang JD. Artesunate-Based Multifunctional Nanoplatform for Photothermal/Photoinduced Thermodynamic Synergistic Anticancer Therapy. ACS Appl Bio Mater 2020; 3:7876-7885. [PMID: 35019528 DOI: 10.1021/acsabm.0c01026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 12/22/2022]
Abstract
Thermodynamic therapy (TDT), one that uses heat to activate thermosensitizers and produce reactive oxygen species (ROS), has recently emerged as an attractive approach for cancer therapy. However, the development of safe and efficient thermosensitizers for TDT remains a big challenge. Here, we have found that artesunate (ARS) could produce ROS upon heating. Based on this interesting result, we have designed and prepared a pH-sensitive liposomal nanoplatform (ICG-ARS@NPs) composed of indocyanine green (ICG) and ARS for photoinduced TDT as well as photothermal therapy (PTT). Under the slightly acidic conditions in tumor tissues, the pH-sensitive liposomal ICG-ARS@NPs were able to release their drug cargos. Upon near-infrared irradiation, the photothermal agent ICG generated in situ hyperthermia and triggered the thermal sensitizing activity of ARS to produce ROS, resulting in damage to cancer cells and tumor tissues. The heat-induced ROS generation of ARS was also confirmed both in vitro and in vivo. In addition, because of their specific tumor targeting and synergistic photothermal and thermodynamic effects, ICG-ARS@NPs exhibited highly efficient anticancer therapeutic efficacy in H22 tumor-bearing mice. We believe that this work will promote the exploration of TDT for cancer therapy as well as the application of the old drug, artemisinin.
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Affiliation(s)
- Peng-Hui Zhao
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, PR China
| | - Si-Tan Ma
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, PR China
| | - Jia-Qian Hu
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, PR China
| | - Bi-Yuan Zheng
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, PR China
| | - Mei-Rong Ke
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, PR China
| | - Jian-Dong Huang
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, PR China
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49
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Li X, Jeon YH, Kwon N, Park JG, Guo T, Kim HR, Huang JD, Lee DS, Yoon J. In Vivo-assembled phthalocyanine/albumin supramolecular complexes combined with a hypoxia-activated prodrug for enhanced photodynamic immunotherapy of cancer. Biomaterials 2020; 266:120430. [PMID: 33011679 DOI: 10.1016/j.biomaterials.2020.120430] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [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: 05/23/2020] [Revised: 09/22/2020] [Accepted: 09/27/2020] [Indexed: 12/30/2022]
Abstract
Immunogenic photodynamic therapy (PDT) has the potential to moderate the shortfalls of cancer immunotherapy. However, its efficacy is severely limited particularly because of the lack of optimal photosensitizers and smart delivery processes and the inherent shortcomings of PDT (e.g., hypoxia resistance). Here, we demonstrate a clinically promising approach that utilizes a water-soluble phthalocyanine derivative (PcN4) concomitantly delivered with a hypoxia-activated prodrug (AQ4N) to amplify the effect of PDT and enhance cancer immunotherapy. After intravenous injection, PcN4 selectively interacted with endogenous albumin dimers and formed supramolecular complexes, providing a facile and green approach for tumor-targeted PDT. The concomitant delivery of AQ4N overcame the limitations of hypoxia in PDT and improved the antitumor activity of PDT. Treatment with PcN4-mediated and AQ4N-amplified PDT almost completely eradicated sizable primary tumors in a triple-negative breast cancer model and significantly activated CD8+ T cells. As the majority of tumor infiltrating CD8+ T cells were both PD-1- and TIM3-positive, additional combination therapy using PD-L1/PD-1 pathway blockade was warranted. After combination with immune checkpoint blockade treatment, an enhanced abscopal effect was achieved in both distant and metastatic tumors.
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Affiliation(s)
- Xingshu Li
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, 350108, China
| | - Yun-Hui Jeon
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Nahyun Kwon
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, 03760, Republic of Korea
| | - Jun-Gyu Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Tian Guo
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, 03760, Republic of Korea
| | - Hang-Rae Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jian-Dong Huang
- College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou, 350108, China.
| | - Dong-Sup Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
| | - Juyoung Yoon
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, 03760, Republic of Korea.
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50
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To KKW, Hung IFN, Ip JD, Chu AWH, Chan WM, Tam AR, Fong CHY, Yuan S, Tsoi HW, Ng ACK, Lee LLY, Wan P, Tso E, To WK, Tsang D, Chan KH, Huang JD, Kok KH, Cheng VCC, Yuen KY. COVID-19 re-infection by a phylogenetically distinct SARS-coronavirus-2 strain confirmed by whole genome sequencing. Clin Infect Dis 2020; 73:e2946-e2951. [PMID: 32840608 PMCID: PMC7499500 DOI: 10.1093/cid/ciaa1275] [Citation(s) in RCA: 469] [Impact Index Per Article: 117.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 08/24/2020] [Indexed: 12/19/2022] Open
Abstract
Background Waning immunity occurs in patients who have recovered from COVID-19. However, it remains unclear whether true re-infection occurs. Methods Whole genome sequencing was performed directly on respiratory specimens collected during two episodes of COVID-19 in a patient. Comparative genome analysis was conducted to differentiate re-infection from persistent viral shedding. Laboratory results, including RT-PCR Ct values and serum SARS-CoV-2 IgG, were analyzed. Results The second episode of asymptomatic infection occurred 142 days after the first symptomatic episode in an apparently immunocompetent patient. During the second episode, there was serological evidence of elevated C-reactive protein and SARS-CoV-2 IgG seroconversion. Viral genomes from first and second episodes belong to different clades/lineages. Compared to viral genomes in GISAID, the first virus genome has a stop codon at position 64 of orf8 leading to a truncation of 58 amino acids, and was phylogenetically closely related to strains collected in March/April 2020, while the second virus genome was closely related to strains collected in July/August 2020. Another 23 nucleotide and 13 amino acid differences located in 9 different proteins, including positions of B and T cell epitopes, were found between viruses from the first and second episodes. Conclusions Epidemiological, clinical, serological and genomic analyses confirmed that the patient had re-infection instead of persistent viral shedding from first infection. Our results suggest SARS-CoV-2 may continue to circulate among the human populations despite herd immunity due to natural infection or vaccination. Further studies of patients with re-infection will shed light on protective correlates important for vaccine design.
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Affiliation(s)
- Kelvin Kai-Wang To
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Wan-Mui Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Anthony Raymond Tam
- Department of Medicine, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Carol Ho-Yan Fong
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Shuofeng Yuan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Hoi-Wah Tsoi
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Anthony Chin-Ki Ng
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Larry Lap-Yip Lee
- Department of Accident and Emergency Medicine, Tin Shui Wai Hospital, Hong Kong Special Administrative Region, China
| | - Polk Wan
- Department of Medicine, North Lantau Hospital, Hong Kong Special Administrative Region, China
| | - Eugene Tso
- Department of Medicine, United Christian Hospital, Hong Kong SAR, China
| | - Wing-Kin To
- Department of Pathology, Princess Margaret Hospital, Hong Kong, China
| | - Dominic Tsang
- Centre for Health Protection, Department of Health, Hong Kong
| | - Kwok-Hung Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kin-Hang Kok
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Vincent Chi-Chung Cheng
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
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