1
|
Yan Q, Zhang Y, Hou R, Pan W, Liang H, Gao X, Deng W, Huang X, Qu L, Tang C, He P, Liu B, Wang Q, Zhao X, Lin Z, Chen Z, Li P, Han J, Xiong X, Zhao J, Li S, Niu X, Chen L. Deep immunoglobulin repertoire sequencing depicts a comprehensive atlas of spike-specific antibody lineages shared among COVID-19 convalescents. Emerg Microbes Infect 2024; 13:2290841. [PMID: 38044868 PMCID: PMC10810631 DOI: 10.1080/22221751.2023.2290841] [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: 09/07/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Neutralizing antibodies are a key component in protective humoral immunity against SARS-CoV-2. Currently, available technologies cannot track epitope-specific antibodies in global antibody repertoires. Thus, the comprehensive repertoire of spike-specific neutralizing antibodies elicited by SARS-CoV-2 infection is not fully understood. We therefore combined high-throughput immunoglobulin heavy chain (IgH) repertoire sequencing, and structural and bioinformatics analysis to establish an antibodyomics pipeline, which enables tracking spike-specific antibody lineages that target certain neutralizing epitopes. We mapped the neutralizing epitopes on the spike and determined the epitope-preferential antibody lineages. This analysis also revealed numerous overlaps between immunodominant neutralizing antibody-binding sites and mutation hotspots on spikes as observed so far in SARS-CoV-2 variants. By clustering 2677 spike-specific antibodies with 360 million IgH sequences that we sequenced, a total of 329 shared spike-specific antibody clonotypes were identified from 33 COVID-19 convalescents and 24 SARS-CoV-2-naïve individuals. Epitope mapping showed that the shared antibody responses target not only neutralizing epitopes on RBD and NTD but also non-neutralizing epitopes on S2. The immunodominance of neutralizing antibody response is determined by the occurrence of specific precursors in human naïve B-cell repertoires. We identified that only 28 out of the 329 shared spike-specific antibody clonotypes persisted for at least 12 months. Among them, long-lived IGHV3-53 antibodies are likely to evolve cross-reactivity to Omicron variants through accumulating somatic hypermutations. Altogether, we created a comprehensive atlas of spike-targeting antibody lineages in COVID-19 convalescents and antibody precursors in human naïve B cell repertoires, providing a valuable reference for future vaccine design and evaluation.
Collapse
Affiliation(s)
- Qihong Yan
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Yudi Zhang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Ruitian Hou
- Guangzhou Institute of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Wenjing Pan
- Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
- Nanjing ARP Biotechnology Co., Ltd, Nanjing, People’s Republic of China
| | - Huan Liang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Xijie Gao
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Weiqi Deng
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Xiaohan Huang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Linbing Qu
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Congli Tang
- Nanjing ARP Biotechnology Co., Ltd, Nanjing, People’s Republic of China
| | - Ping He
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Banghui Liu
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Qian Wang
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Xinwei Zhao
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Zihan Lin
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Zhaoming Chen
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Pingchao Li
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Jian Han
- iRepertoire Inc., Huntsville, AL, USA
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Song Li
- Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Xuefeng Niu
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Ling Chen
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou Institute of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| |
Collapse
|
2
|
Jin Y, Yuan X, Ou L, Wu J, Hu J, Xue K, Xiong X. In situ fast self-assembled preparation of dandelion-like Cu(OH) 2@Cu 3(HHTP) 2 with core-shell heterostructure arrays for electrochemical sensing of formaldehyde in food samples. Food Chem 2024; 447:139013. [PMID: 38507950 DOI: 10.1016/j.foodchem.2024.139013] [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: 11/14/2023] [Revised: 02/05/2024] [Accepted: 03/10/2024] [Indexed: 03/22/2024]
Abstract
Formaldehyde is known to harm the respiratory, nervous, and digestive systems of people. In this paper, a novel dandelion-like electrocatalyst with core-shell heterostructure arrays were fast self-assembled prepared in situ using copper foam (CF) as support substrate and 2,3,6,7,10,11 hexahydroxy-triphenyl (HHTP) as ligand (Cu(OH)2@Cu3(HHTP)2/CF) by a simple two-step hydrothermal reaction. The 1D Cu(OH)2 nanorods "core" and the 2D π-conjugated conducting metal-organic frameworks (Cu3(HHTP)2cMOF) "shell" with remote delocalized electrons give the dandelion-like heterogeneous catalysts excellent electrochemical activity such as a large specific surface area, high conductivity and a fast electron transfer rate. The Cu(OH)2@Cu3(HHTP)2/CF exhibited excellent electrocatalytic performance for formaldehyde under alkaline conditions with a linear range of 0.2 μmol/L - 125 μmol/L and 125 μmol/L - 8 mmol/L, a detection limit as low as 15.9 nmol/L (S/N = 3), as well as good accuracy, consistency, and durability, and it effectively identified FA in food.
Collapse
Affiliation(s)
- Yao Jin
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Xiangwei Yuan
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Lian Ou
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Jiaying Wu
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Jiangtao Hu
- Technology Center of Chengdu Customs, Chengdu 610041, Sichuan, China; Food Safety Detection Key Laboratory of Sichuan Province, Chengdu 610041, Sichuan, China
| | - Kang Xue
- Technology Center of Chengdu Customs, Chengdu 610041, Sichuan, China; Food Safety Detection Key Laboratory of Sichuan Province, Chengdu 610041, Sichuan, China.
| | - Xiaoli Xiong
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China.
| |
Collapse
|
3
|
Zhu L, Zhang X, Yang L, Qiu S, Liu G, Xiong X, Xiao T, Huang K, Zhu L. Label-free electrochemical sensing platform for sensitive detection of ampicillin by combining nucleic acid isothermal enzyme-free amplification circuits with CRISPR/Cas12a. Talanta 2024; 273:125950. [PMID: 38521024 DOI: 10.1016/j.talanta.2024.125950] [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: 02/04/2024] [Revised: 03/06/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
The residue of ampicillin (AMP) in food and ecological environment poses a potential harm to human health. Therefore, a reliable system for detecting AMP is in great demand. Herein, a label-free and sensitive electrochemical sensor utilizing NH2-Co-MOF as an electrocatalytic active material for methylene blue (MB) was developed for rapid and facile AMP detection by combining hybridization chain reaction (HCR), catalytic hairpin assembly (CHA) with CRISPR/Cas12a. The surface of glassy carbon electrode modified with NH2-Co-MOF was able to undergo HCR independent of the AMP, forming long dsDNA complexes to load MB, resulting in strong original electrochemical signal. The presence of AMP could trigger upstream CHA circuit to activate the CRISPR/Cas12a system, thereby achieving rapid non-specific cleavage of the trigger ssDNA of HCR on the electrode surface, hindering the occurrence of HCR and reducing the load of MB. Significant signal change triggered by the target was ultimately obtained, thus achieving sensitive detection of the AMP with a detection limit as low as 1.60 pM (S/N = 3). The proposed sensor exhibited good stability, selectivity, and stability, and achieved reliable detection of AMP in milk and livestock wastewater samples, demonstrating its promising application prospects in food safety and environmental monitoring.
Collapse
Affiliation(s)
- Li Zhu
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China
| | - Xuemei Zhang
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China
| | - Li Yang
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China
| | - Shan Qiu
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China
| | - Guoyu Liu
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China
| | - Xiaoli Xiong
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China
| | - Ting Xiao
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China
| | - Ke Huang
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China.
| | - Liping Zhu
- Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling Sichuan Normal University, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources Ministry of Education, Sichuan Normal University, College of Chemistry and Materials Science, Chengdu, 610066, China.
| |
Collapse
|
4
|
Zhang X, Zhu L, Yang L, Liu G, Qiu S, Xiong X, Huang K, Xiao T, Zhu L. A sensitive and versatile electrochemical sensor based on hybridization chain reaction and CRISPR/Cas12a system for antibiotic detection. Anal Chim Acta 2024; 1304:342562. [PMID: 38637031 DOI: 10.1016/j.aca.2024.342562] [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: 02/23/2024] [Revised: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/20/2024]
Abstract
A sensitive electrochemical platform was constructed with NH2-Cu-MOF as electrochemical probe to detect antibiotics using CRISPR/Cas12a system triggered by hybridization chain reaction (HCR). The sensing system consists of two HCR systems. HCR1 occurred on the electrode surface independent of the target, generating long dsDNA to connect signal probes and producing a strong electrochemical signal. HCR2 was triggered by target, and the resulting dsDNA products activated the CRISPR/Cas12a, thereby resulting in effective and rapid cleavage of the trigger of HCR1, hindering the occurrence of HCR1, and reducing the number of NH2-Cu-MOF on the electrode surface. Eventually, significant signal change depended on the target was obtained. On this basis and with the help of the programmability of DNA, kanamycin and ampicillin were sensitively detected with detection limits of 60 fM and 10 fM (S/N = 3), respectively. Furthermore, the sensing platform showed good detection performance in milk and livestock wastewater samples, demonstrating its great application prospects in the detection of antibiotics in food and environmental water samples.
Collapse
Affiliation(s)
- Xuemei Zhang
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Li Zhu
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Li Yang
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Guoyu Liu
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Shan Qiu
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Xiaoli Xiong
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Ke Huang
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Ting Xiao
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| | - Liping Zhu
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, 610066, China; Sichuan Provincial Engineering Laboratory of Livestock Manure Treatment and Recycling (Sichuan Normal University), Chengdu, 610066, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| |
Collapse
|
5
|
Tang X, Yuan X, Jin Y, Wu J, Ling C, Huang K, Zhu L, Xiong X. A novel hollow CuMn-PBA@NiCo-LDH nanobox for efficient detection of glucose in food. Food Chem 2024; 438:137969. [PMID: 37976880 DOI: 10.1016/j.foodchem.2023.137969] [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: 07/06/2023] [Revised: 10/16/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
Designing a rapid and sensitive glucose detection method is of great significance to public health. Herein, hollow CuMn-PBA@NiCo-LDH nanoboxes (CuMn-PBA@NiCo-LDH NBs) were prepared using acid etching, cation exchange, and reflux method. The modified electrode exhibited outstanding electrocatalytic performance for glucose oxidation due to the unique hollow nanostructure and synergistic effects. The CuMn-PBA@NiCo-LDH NBs electrode displayed excellent electrocatalytic oxidation activity for glucose in an alkaline solution. Under optimal conditions, the electrode achieved a wide linear range (0.0005-1 mmol L-1, and 1-7 mmol L-1) and high sensitivity (10,300 μA L/mmol cm-2 and 5310 μA L/mmol cm-2), with a limit of detection (LOD) of 19 nmol L-1. The feasibility of the sensor applied to the detection of glucose was verified in real food samples through spiked recovery experiments. This electrode material offers an alternative method for the non-enzymatic glucose sensors.
Collapse
Affiliation(s)
- Xin Tang
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Xiangwei Yuan
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Yao Jin
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Jiaying Wu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Chengshuang Ling
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Ke Huang
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Liping Zhu
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China.
| | - Xiaoli Xiong
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China.
| |
Collapse
|
6
|
Ling C, Xu L, Ou L, Wu J, Tan C, Zhu L, Xiong X. NiCo-LDH coupled with 2D ZIF-derived Co nitrogen doped carbon nanosheet arrays as a self-supporting electrocatalyst for detection of formaldehyde. Chemistry 2024; 30:e202304024. [PMID: 38391394 DOI: 10.1002/chem.202304024] [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: 12/02/2023] [Revised: 01/29/2024] [Accepted: 02/16/2024] [Indexed: 02/24/2024]
Abstract
Formaldehyde is susceptible to illegal addition to foodstuffs to extend their shelf life due to its antimicrobial, preservative and bleaching properties. In this study, a self-supporting "nanosheet on nanosheet" arrays electrocatalyst with core-shell heterostructure was prepared in situ by coupling NiCo layer double hydroxide with 2D ZIF derived Co-nitrogen-doped porous carbon on carbon cloth (Co-N/C@NiCo-LDH NSAs/CC). Co-N/C nanosheet arrays act as a scaffold core with good electrical conductivity, providing more NiCo-LDH nucleation sites to avoid NiCo-LDH agglomeration, thus having fast mass/charge transfer performance. While the NiCo-LDH nanosheet arrays shell with high specific surface area provide more active sites for electrochemical reactions. As an electrocatalytic sensing electrode, Co-N/C@NiCo-LDH NSAs/CC has a wide linear range of 1 μM to 13 mM for formaldehyde detection, and the detection limit is 82 nM. Besides, the sensor has been applied to the detection of formaldehyde in food samples with satisfactory results.
Collapse
Affiliation(s)
- Chengshuang Ling
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu, 610068, China
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, China
| | - Li Xu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, China
| | - Lian Ou
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, China
| | - Jiaying Wu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, China
| | - Chao Tan
- Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, 644000, China
| | - Liping Zhu
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu, 610068, China
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, China
| | - Xiaoli Xiong
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu, 610068, China
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, China
| |
Collapse
|
7
|
Han X, Gao Y, Zhou B, Hameed HMA, Fang C, Ju Y, He J, Fang X, Liu Z, Yu W, Xiong X, Zhong N, Zhang T. Indole Propionic Acid Disturbs the Normal Function of Tryptophanyl-tRNA Synthetase in Mycobacterium tuberculosis. ACS Infect Dis 2024; 10:1201-1211. [PMID: 38457660 DOI: 10.1021/acsinfecdis.3c00585] [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] [Indexed: 03/10/2024]
Abstract
Tuberculosis (TB) is the leading infectious disease caused by Mycobacterium tuberculosis and the second-most contagious killer after COVID-19. The emergence of drug-resistant TB has caused a great need to identify and develop new anti-TB drugs with novel targets. Indole propionic acid (IPA), a structural analog of tryptophan (Trp), is active against M. tuberculosis in vitro and in vivo. It has been verified that IPA exerts its antimicrobial effect by mimicking Trp as an allosteric inhibitor of TrpE, which is the first enzyme in the Trp synthesis pathway of M. tuberculosis. However, other Trp structural analogs, such as indolmycin, also target tryptophanyl-tRNA synthetase (TrpRS), which has two functions in bacteria: synthesis of tryptophanyl-AMP by catalyzing ATP + Trp and producing Trp-tRNATrp by transferring Trp to tRNATrp. So, we speculate that IPA may also target TrpRS. In this study, we found that IPA can dock into the Trp binding pocket of M. tuberculosis TrpRS (TrpRSMtb), which was further confirmed by isothermal titration calorimetry (ITC) assay. The biochemical analysis proved that TrpRS can catalyze the reaction between IPA and ATP to generate pyrophosphate (PPi) without Trp as a substrate. Overexpression of wild-type trpS in M. tuberculosis increased the MIC of IPA to 32-fold, and knock-down trpS in Mycolicibacterium smegmatis made it more sensitive to IPA. The supplementation of Trp in the medium abrogated the inhibition of M. tuberculosis by IPA. We demonstrated that IPA can interfere with the function of TrpRS by mimicking Trp, thereby impeding protein synthesis and exerting its anti-TB effect.
Collapse
Affiliation(s)
- Xingli Han
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Yamin Gao
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Biao Zhou
- Guangzhou Laboratory, Guangzhou Medical University, Guangzhou 511436, China
- Guangzhou International Bio Island, Guangzhou 510320, China
| | - H M Adnan Hameed
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Cuiting Fang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Yanan Ju
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
| | - Jing He
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
| | - Xiange Fang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Zhiyong Liu
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
- Guangzhou Laboratory, Guangzhou Medical University, Guangzhou 511436, China
| | - Wei Yu
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
- Guangzhou Laboratory, Guangzhou Medical University, Guangzhou 511436, China
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Nanshan Zhong
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- Guangzhou Laboratory, Guangzhou Medical University, Guangzhou 511436, China
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Tianyu Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
- Guangdong-Hong Kong-Macau Joint Laboratory of Respiratory Infectious Diseases, Guangzhou 510530, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| |
Collapse
|
8
|
Xiong X, Wang J, Hao Z, Fan X, Jiang N, Qian X, Hong R, Dai Y, Hu C. MRI-based bone marrow radiomics for predicting cytogenetic abnormalities in multiple myeloma. Clin Radiol 2024; 79:e491-e499. [PMID: 38238146 DOI: 10.1016/j.crad.2023.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/27/2023] [Accepted: 12/14/2023] [Indexed: 03/09/2024]
Abstract
AIM To develop a radiomics signature applied to magnetic resonance imaging (MRI)-images to predict cytogenetic abnormalities in multiple myeloma (MM). MATERIALS AND METHODS Patients with newly diagnosed MM were enrolled retrospectively from March 2019 to September 2022. They were categorised into the high-risk cytogenetics (HRC) group and standard-risk cytogenetics (SRC) group. The patients were allocated randomly at a ratio of 7:3 into training and validation cohorts. Volumes of interest (VOI) was drawn manually on fat suppression T2-weighted imaging (FS-T2WI) and copied to the same location of the T1-weighted imaging (T1WI) sequence. Radiomics features were extracted from two sequences and selected by reproducibility and redundant analysis. The least absolute shrinkage selection operation (LASSO) algorithm was applied to build the radiomics signatures. The performance of the radiomics signatures to distinguish HRC with SRC was evaluated by ROC curves. The area under the curve (AUC), specificity, and sensitivity were also calculated. RESULTS A total of 105 MM patients were enrolled in this study. The four and 11 most significant and relevant features were selected separately from T1WI and FS-T2WI sequences to build the radiomics signatures based on the training cohort. Compared to the T1WI sequence, the radiomics signature based on the FS-T2WI sequence achieved better performance with AUCs of 0.896 and 0.729 in the training and validation cohorts respectively. A sensitivity of 0.833, specificity of 0.667, and Youden index of 0.500 were achieved for the FS-T2WI radiomics signature in the validation cohort. CONCLUSIONS The radiomics signature based on MRI provides a non-invasive and convenient tool to predict cytogenetic abnormalities in MM patients.
Collapse
Affiliation(s)
- X Xiong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - J Wang
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, China
| | - Z Hao
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - X Fan
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - N Jiang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - X Qian
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China
| | - R Hong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - Y Dai
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China.
| | - C Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
| |
Collapse
|
9
|
Ou L, Yang J, Xu L, Zhao S, Xiong X, Xiao T. Construction of Co-ZIF-derived CoS 2@Cu hollow heterogeneous nanotube array for the detection of hydrazine in environmental water samples. Environ Res 2024; 246:118177. [PMID: 38215926 DOI: 10.1016/j.envres.2024.118177] [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] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/14/2024]
Abstract
As a neurotoxin, it is necessary to establish a low cost, stable and sensitive method for the quantitative detection of hydrazine. Using Co-ZIF (zeolite imidazole framework) nanorods as precursor, CoS2 hollow nanotube array heterogeneous structure loaded with Cu nanoparticles were prepared on carbon cloth (CC) by etching, calcination and plasma magnetron sputtering (CoS2@Cu HNTA/CC). As a self-supporting electrode, its hollow heterogeneous structure provides a large area of electron transfer channel for the oxidation of the food pollutant hydrazine. In addition, bimetallic synergies and in situ N doping regulated the electronic structure of CoS2@Cu HNTA/CC, and thus significantly improved the electrical conductivity and catalytic activity. As an efficient hydrazine sensor with a wide linear range of 1 μM L-1-10 mM (1 μM-1 mM and 1 mM-10 mM), its sensitivity and the limit of detection are 7996 μA mM-1 cm-2, 3772 μA mM-1 cm-2 and 0.276 μM (S/N = 3), respectively. This study provides a new strategy for the construction of MOFs (Metal Organic Framework)-derived bimetallic composites and their application in electrochemical sensing.
Collapse
Affiliation(s)
- Lian Ou
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan, 610068, China
| | - Jie Yang
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan, 610068, China
| | - Li Xu
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan, 610068, China
| | - Shan Zhao
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan, 610068, China
| | - Xiaoli Xiong
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan, 610068, China.
| | - Ting Xiao
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan, 610068, China.
| |
Collapse
|
10
|
Chen X, Huang X, Ma Q, Kuzmič P, Zhou B, Zhang S, Chen J, Xu J, Liu B, Jiang H, Zhang W, Yang C, Wu S, Huang J, Li H, Long C, Zhao X, Xu H, Sheng Y, Guo Y, Niu C, Xue L, Xu Y, Liu J, Zhang T, Spencer J, Zhu Z, Deng W, Chen X, Chen SH, Zhong N, Xiong X, Yang Z. Preclinical evaluation of the SARS-CoV-2 M pro inhibitor RAY1216 shows improved pharmacokinetics compared with nirmatrelvir. Nat Microbiol 2024; 9:1075-1088. [PMID: 38553607 PMCID: PMC10994847 DOI: 10.1038/s41564-024-01618-9] [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: 02/27/2023] [Accepted: 01/22/2024] [Indexed: 04/06/2024]
Abstract
Although vaccines are available for SARS-CoV-2, antiviral drugs such as nirmatrelvir are still needed, particularly for individuals in whom vaccines are less effective, such as the immunocompromised, to prevent severe COVID-19. Here we report an α-ketoamide-based peptidomimetic inhibitor of the SARS-CoV-2 main protease (Mpro), designated RAY1216. Enzyme inhibition kinetic analysis shows that RAY1216 has an inhibition constant of 8.4 nM and suggests that it dissociates about 12 times slower from Mpro compared with nirmatrelvir. The crystal structure of the SARS-CoV-2 Mpro:RAY1216 complex shows that RAY1216 covalently binds to the catalytic Cys145 through the α-ketoamide group. In vitro and using human ACE2 transgenic mouse models, RAY1216 shows antiviral activities against SARS-CoV-2 variants comparable to those of nirmatrelvir. It also shows improved pharmacokinetics in mice and rats, suggesting that RAY1216 could be used without ritonavir, which is co-administered with nirmatrelvir. RAY1216 has been approved as a single-component drug named 'leritrelvir' for COVID-19 treatment in China.
Collapse
Affiliation(s)
- Xiaoxin Chen
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Guangdong Raynovent Biotech Co., Ltd, Guangzhou, China
| | - Xiaodong Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Qinhai Ma
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Biao Zhou
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
| | - Sai Zhang
- Guangzhou National Laboratory, Guangzhou, China
| | | | - Jinxin Xu
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Bin Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haiming Jiang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenjie Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chunguang Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shiguan Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Haijun Li
- Guangdong Raynovent Biotech Co., Ltd, Guangzhou, China
| | - Chaofeng Long
- Guangdong Raynovent Biotech Co., Ltd, Guangzhou, China
| | - Xin Zhao
- Guangdong Provincial Key Laboratory of Chemical Measurement and Emergency Test Technology, Institute of Analysis, Guangdong Academy of Sciences (China National Analytical Center Guangzhou), Guangzhou, China
| | - Hongrui Xu
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yanan Sheng
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Yaoting Guo
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Chuanying Niu
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Lu Xue
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yong Xu
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jinsong Liu
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Tianyu Zhang
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - James Spencer
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
| | | | - Wenbin Deng
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Xinwen Chen
- Guangzhou National Laboratory, Guangzhou, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
| | | | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
- Guangzhou National Laboratory, Guangzhou, China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China.
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
| | - Zifeng Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
- Guangzhou National Laboratory, Guangzhou, China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China.
| |
Collapse
|
11
|
Zhu L, Tang Z, Zhang X, Zhu L, Meng T, Yu L, Xiao T, Lu S, Xiong X, Yang X. A sensitive "off-on" electrochemiluminescence DNA sensor based on signal cascade amplification circuit and distance-dependent energy transfer. Talanta 2024; 269:125464. [PMID: 38039672 DOI: 10.1016/j.talanta.2023.125464] [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: 06/27/2023] [Revised: 10/08/2023] [Accepted: 11/21/2023] [Indexed: 12/03/2023]
Abstract
A sensitive "off-on" electrochemiluminescence (ECL) DNA sensor was constructed based on Exo III-assisted cascade amplification system. In the cascade amplification circuit, target DNA and Exo III cutting substrate were designed into an inverted T-shaped binding mode to form a stable DNA junction, thus effectively triggering Exo III digestion cycle. During the biosensor assembly process, ferrocene (Fc) and distance-dependent ECL resonance energy transfer (ECL-RET) and surface plasmon resonance (SPR) effects were introduced to regulate the ECL of semiconductor quantum dots (QDs). Carboxylated ZnCdSe/ZnS QDs were used as ECL signal probes and K2S2O8 was coreactant, and the initial cathodic ECL signal of QDs was efficiently quenched through electron and energy transfer with Fc and ECL-RET with Au NPs, leaving the system in "off" state. After the products of cascade amplification were introduced into the electrode surface, the single-stranded DNA modified with Fc was displaced, and the distance between Au NPs and QDs became farther, resulting in a transition from ECL-RET to SPR, and then a significant ECL signal boost was achieved, turning the system into "on" state. The combination of efficient cascade amplification system and sensitive "off-on" ECL signal change mode enabled the biosensing platform to detect target DNA with high selectivity (able to distinguish single-base mutated DNA) and ultra-high sensitivity (limit of detection was 31.67 aM, S/N = 3), providing a new perspective for designing highly sensitive and programmable ECL biosensors.
Collapse
Affiliation(s)
- Liping Zhu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| | - Zeng Tang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Xuemei Zhang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Li Zhu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Tian Meng
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
| | - Linying Yu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
| | - Ting Xiao
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Shasha Lu
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China
| | - Xiaoli Xiong
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Xiurong Yang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China.
| |
Collapse
|
12
|
Dou JY, Zhou YP, Cui Y, Sun T, Shi JY, Xiong X, Zhang YC. [Pathogenic characteristics and influence factors of bloodstream infection-induced severe sepsis in pediatric intensive care unit]. Zhonghua Yi Xue Za Zhi 2024; 104:198-204. [PMID: 38220445 DOI: 10.3760/cma.j.cn112137-20230729-00115] [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: 01/16/2024]
Abstract
Objective: To summarize the pathogenic characteristics of bloodstream infection (BSI)-induced severe sepsis and analyze the influence factors in pediatric intensive care unit (PICU). Methods: Pediatric patients who were diagnosed with severe sepsis caused by BSI in the PICU of Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2016 to December 2021 were retrospectively selected and divided into survival group and death group according to their discharge outcomes. Clinical characteristics, laboratory parameters, pathogenic characteristics and drug resistance of the patients were collected. The characteristics of pathogens, clinical and laboratory indicators were summarized, and the influencing factors of death in children with severe sepsis caused by BSI were analyzed based on binary multivariate logistic regression. Results: A total of 132 patients, aged [M (Q1, Q3)] 36 (10, 119) months, with BSI-induced severe sepsis were enrolled in this study, including 81 males and 51 females. There were 38 cases aged 36 (15, 120) months in the death group, including 23 males and 15 females. There were 94 cases, aged 36 (8, 108) months, in the survival group, including 58 males and 36 females. A total of 132 strains of pathogens were isolated, including 87 strains (65.9%) of Gram-negative bacteria. The top 5 pathogens were Klebsiella pneumoniae (24 cases, 18.2%), Escherichia coli (17 cases, 12.9%), Acinetobacter baumannii (13 cases, 9.8%), Pseudomonas aeruginosa (10 cases, 7.6%) and Staphylococcus aureus (10 cases, 7.6%). The proportion of multi-drug resistant bacteria in hospital-acquired BSI was higher than that in community-acquired BSI [52.9% (36/68) vs 15.6% (10/64), P=0.001]. The proportions of community-acquired infection were 58.5% (55/94) and 23.7% (9/38) in the survival and death groups, respectively, the difference was statistically significant (P<0.001). The proportion of central venous catheter insertion before bloodstream infection in the death group was higher than that in the survival group [63.2% (24/38) vs 42.6% (40/94), P=0.034]. According to the binary multivariate logistic regression analysis, hospital-acquired infection (OR=4.80, 95%CI: 1.825-12.621, P=0.001), absolute neutrophil count (ANC) (OR=0.93, 95%CI: 0.863-0.993, P=0.030) and decreased albumin (OR=0.89, 95%CI: 0.817-0.977, P=0.014) were risk factors for death. Conclusions: The common pathogen of BSI-induced severe sepsis in PICU is Gram-negative bacteria. The proportion of multi-drug resistant organisms of BSI obtained in hospitals is high. Children with severe sepsis due to BSI with nosocomial acquired infection, ANC and decreased albumin have a high risk of death.
Collapse
Affiliation(s)
- J Y Dou
- Department of Critical Care Medicine, Shanghai Children's Hospital, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200062, China
| | - Y P Zhou
- Department of Critical Care Medicine, Shanghai Children's Hospital, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200062, China
| | - Y Cui
- Department of Critical Care Medicine, Shanghai Children's Hospital, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200062, China
| | - T Sun
- Department of Critical Care Medicine, Shanghai Children's Hospital, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200062, China
| | - J Y Shi
- Department of Critical Care Medicine, Shanghai Children's Hospital, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200062, China
| | - X Xiong
- Department of Critical Care Medicine, Shanghai Children's Hospital, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200062, China
| | - Y C Zhang
- Department of Critical Care Medicine, Shanghai Children's Hospital, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200062, China
| |
Collapse
|
13
|
Chen C, Li Z, Xiong X, Yao A, Wang S, Liu X, Liu X, Wang J. Intraperitoneal PD-1 monoclonal antibody for the treatment of advanced primary liver cancer with malignant ascites: a single-arm, single-center, phase Ib trial. ESMO Open 2024; 9:102206. [PMID: 38194882 PMCID: PMC10820330 DOI: 10.1016/j.esmoop.2023.102206] [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: 10/18/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Advanced primary liver cancer patients with malignant ascites have a poor prognosis and lack effective treatment plans. This phase Ib study aims to explore the safety and clinical efficacy of intraperitoneal anti-programmed cell death protein 1 (PD-1) antibody in these patients. PATIENTS AND METHODS Patients received sintilimab 100 mg intraperitoneally plus best supportive care on days 1, 8, and 15 in three cycles of 4 weeks. The course was repeated every 28 days until intolerable toxicity had developed or disease progression. The primary endpoint was safety, while the secondary endpoints were objective response rate (ORR), ascites control rate (ACR), and overall survival (OS). RESULTS From February 2021 through November 2022, a total of 21 patients (14 hepatocellular carcinoma and 7 cholangiocarcinoma) were enrolled to receive intraperitoneal sintilimab. Twelve patients had adverse events (AEs). The most common grade 3 AEs were fatigue, rash, and abdominal pain. No grade ≥4 AEs occurred in any patients. ORR was only evaluated in 13 patients, including partial response in 4, stable disease in 7, and progressive disease in 2. A reduction in the median maximum diameter of the tumor after treatment was observed; however, there was no statistical significance among patients. The objective remission rate of ascites was 43.75%, and the median OS for all 21 patients was 17.6 weeks. CONCLUSIONS This exploratory study represents the first trial to demonstrate the safety and clinical efficacy of intraperitoneal anti-PD-1 antibody administration. No unexpected safety concerns were identified. A large, multicenter, prospective study is needed to confirm the promising clinical efficacy.
Collapse
Affiliation(s)
- C Chen
- Department of Oncology, Jinling Hospital, Nanjing Medical University, Nanjing
| | - Z Li
- Department of Oncology, Jinling Hospital, Nanjing Medical University, Nanjing
| | - X Xiong
- Department of Hepatology, Jinling Hospital, Nanjing Medical University, Nanjing
| | - A Yao
- Department of Research Institute of General Surgery, Jinling Hospital, Nanjing Medical University, Nanjing
| | - S Wang
- Department of Research Institute of General Surgery, Jinling Hospital, Nanjing Medical University, Nanjing
| | - X Liu
- Department of Oncology, Jinling Hospital, Nanjing Medical University, Nanjing
| | - X Liu
- Department of Oncology, Jinling Hospital, Nanjing Medical University, Nanjing.
| | - J Wang
- Department of Hematology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing; Yizheng Hospital of Nanjing Drum Tower Hospital Group, Yizheng, PR China.
| |
Collapse
|
14
|
Saphire E, Salie ZL, Ke Z, Halfmann P, DeWald LE, McArdle S, Grinyo A, Davidson E, Schendel S, Hariharan C, Norris M, Yu X, Chennareddy C, Xiong X, Heinrich M, Holbrook M, Doranz B, Crozier I, Hastie K, Kawaoka Y, Branco L, Kuhn J, Briggs J, Worwa G, Davis C, Ahmed R. Anti-Ebola virus mAb 3A6 with unprecedented potency protects highly viremic animals from fatal outcome and physically lifts its glycoprotein target from the virion membrane. Res Sq 2023:rs.3.rs-3722563. [PMID: 38196595 PMCID: PMC10775387 DOI: 10.21203/rs.3.rs-3722563/v1] [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] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Monoclonal antibodies (mAbs) against Ebola virus (EBOV) glycoprotein (GP1,2) are the standard of care for Ebola virus disease (EVD). Anti-GP1,2 mAbs targeting the stalk and membrane proximal external region (MPER) potently neutralize EBOV in vitro. However, their neutralization mechanism is poorly understood because they target a GP1,2 epitope that has evaded structural characterization. Moreover, their in vivo efficacy has only been evaluated in the mouse model of EVD. Using x-ray crystallography and cryo-electron tomography of 3A6 complexed with its stalk- GP1,2 MPER epitope we reveal a novel mechanism in which 3A6 elevates the stalk or stabilizes a conformation of GP1,2 that is lifted from the virion membrane. In domestic guinea pig and rhesus monkey EVD models, 3A6 provides therapeutic benefit at high viremia levels, advanced disease stages, and at the lowest dose yet demonstrated for any anti-EBOV mAb-based monotherapy. These findings can guide design of next-generation, highly potent anti-EBOV mAbs.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Xiaoli Xiong
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences
| | | | - Michael Holbrook
- National Institute of Allergy and Infectious Diseases (NIAID) Integrated Research Facility, National Institutes of Health (NIH)
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
15
|
Xiong X, Zhu Q, Zhou Z, Qian X, Hong R, Dai Y, Hu C. Discriminating minimal residual disease status in multiple myeloma based on MRI: utility of radiomics and comparison of machine-learning methods. Clin Radiol 2023; 78:e839-e846. [PMID: 37586967 DOI: 10.1016/j.crad.2023.07.011] [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] [Received: 03/22/2023] [Revised: 07/11/2023] [Accepted: 07/17/2023] [Indexed: 08/18/2023]
Abstract
AIM To explore the possibility of discriminating minimal residual disease (MRD) status in multiple myeloma (MM) based on magnetic resonance imaging (MRI) and identify optimal machine-learning methods to optimise the clinical treatment regimen. MATERIALS AND METHODS A total of 83 patients were analysed retrospectively. They were divided randomly into training and validation cohorts. The regions of interest were segmented and radiomics features were extracted and analysed on two sequences, including T1-weighted imaging (WI) and fat saturated (FS)-T2WI, and then radiomics models were built in the training cohort and evaluated in the validation cohort. Clinical characteristics were calculated to build a traditional model. A combined model was also built using the clinical characteristics and radiomics features. Classification accuracy was assessed using area under the curve (AUC) and F1 score. RESULTS In the training cohort, only the bone marrow (BM) infiltrate ratio (p=0.005) was retained after univariate and multivariable logistic regression analysis. In T1WI, the linear support vector machine (SVM) achieved the best performance compared to other classifiers, with AUCs of 0.811 and 0.708 and F1 scores of 0.792 and 0.696 in the training and validation cohorts, respectively. Similarly, in FS-T2WI sequence, linear SVM achieved the best performance with AUCs of 0.833 and 0.800 and F1 score of 0.833 and 0.800. The combined model constructed by the FS-T2WI-linear SVM and BM infiltrate ratio outperformed the traditional model (p=0.050 and 0.012, Delong test), but showed no significant difference compared with the radiomics model (p=0.798 and 0.855). CONCLUSION The linear SVM-based machine-learning method can offer a non-invasive tool for discriminating MRD status in MM.
Collapse
Affiliation(s)
- X Xiong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - Q Zhu
- Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - Z Zhou
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China
| | - X Qian
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China; School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China
| | - R Hong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - Y Dai
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China
| | - C Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
| |
Collapse
|
16
|
Tan T, Jiang L, He Z, Ding X, Xiong X, Tang M, Chen Y, Tang Y. NR1 Splicing Variant NR1a in Cerebellar Granule Neurons Constitutes a Better Motor Learning in the Mouse. Cerebellum 2023:10.1007/s12311-023-01614-5. [PMID: 37880519 DOI: 10.1007/s12311-023-01614-5] [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] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 10/27/2023]
Abstract
As an excitatory neuron in the cerebellum, the granule cells play a crucial role in motor learning. The assembly of NMDAR in these neurons varies in developmental stages, while the significance of this variety is still not clear. In this study, we found that motor training could specially upregulate the expression level of NR1a, a splicing form of NR1 subunit. Interestingly, overexpression of this splicing variant in a cerebellar granule cell-specific manner dramatically elevated the NMDAR binding activity. Furthermore, the NR1a transgenic mice did not only show an enhanced motor learning, but also exhibit a higher efficacy for motor training in motor learning. Our results suggested that as a "junior" receptor, NR1a facilitates NMDAR activity as well as motor skill learning.
Collapse
Affiliation(s)
- Ting Tan
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China
- Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, 510623, China
| | - Linyan Jiang
- Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, 510623, China
| | - Zhengxiao He
- Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, 510623, China
| | - Xuejiao Ding
- Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, 510623, China
| | - Xiaoli Xiong
- Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, 510623, China
| | - Mingxi Tang
- Department of Pathology, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
| | - Yuan Chen
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China.
| | - Yaping Tang
- Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, 510623, China.
| |
Collapse
|
17
|
Zhu L, Zhu L, Zhang X, Yang L, Liu G, Xiong X. Programmable electrochemical biosensing platform based on catalytic hairpin assembly and entropy-driven catalytic cascade amplification circuit. Anal Chim Acta 2023; 1278:341715. [PMID: 37709458 DOI: 10.1016/j.aca.2023.341715] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/10/2023] [Accepted: 08/13/2023] [Indexed: 09/16/2023]
Abstract
Herein, powerful DNA strand displacement reaction and sensitive electrochemical analysis method were ingeniously integrated to develop a programmable biosensing platform. Using DNA as the detection model, a cascade amplification system based on catalytic hairpin assembly and entropy-driven catalytic was constructed, and the reaction rate and signal amplification effect were significantly improved. The product of the cascade amplification circuit could undergo strand displacement reaction with the signal probe on the electrode surface to obtain sensitive electrochemical signal changes and realize highly sensitive detection of the target. In addition, without redesigning the DNA sequences in the cascade amplification circuit, the by-product strand typically wasted in traditional entropy-driven catalytic reactions can be fully utilized to construct a single-signal output biosensing system and even a dual-signal output ratiometric biosensing platform, improving the detection repeatability and reliability of the system, and expanding the application of DNA strand displacement reaction in electrochemical biosensing. Furthermore, benefiting from the design flexibility of the DNA molecules, the constructed biosensing platform realized the sensitive detection of aptamer substrate (kanamycin as an example) and certain metal ion (mercury as an example) by simply recoding the corresponding recognition sequence, demonstrating the good versatility of the biosensing platform.
Collapse
Affiliation(s)
- Liping Zhu
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Sichuan Normal University), Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| | - Li Zhu
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Sichuan Normal University), Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Xuemei Zhang
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Sichuan Normal University), Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Li Yang
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Sichuan Normal University), Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Guoyu Liu
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Sichuan Normal University), Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China
| | - Xiaoli Xiong
- Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Sichuan Normal University), Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| |
Collapse
|
18
|
Li Y, Zhu M, Chen WX, Luo J, Li X, Cao Y, Zheng M, Ma S, Xiao Z, Zhang Y, Jiang L, Wang X, Tan T, Li X, Gong Q, Xiong X, Wang J, Tang M, Li M, Tang YP. A novel mutation in intron 1 of Wnt1 causes developmental loss of dopaminergic neurons in midbrain and ASD-like behaviors in rats. Mol Psychiatry 2023; 28:3795-3805. [PMID: 37658228 PMCID: PMC10730402 DOI: 10.1038/s41380-023-02223-8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 08/02/2023] [Accepted: 08/07/2023] [Indexed: 09/03/2023]
Abstract
Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders with a strong genetic liability. Despite extensive studies, however, the underlying pathogenic mechanism still remains elusive. In the present study, we identified a homozygous mutation in the intron 1 of Wnt1 via large-scale screening of ASD risk/causative genes and verified that this mutation created a new splicing donor site in the intron 1, and consequently, a decrease of WNT1 expression. Interestingly, humanized rat models harboring this mutation exhibited robust ASD-like behaviors including impaired ultrasonic vocalization (USV), decreased social interactions, and restricted and repetitive behaviors. Moreover, in the substantia nigra compacta (SNpc) and the ventral tegmental area (VTA) of mutant rats, dopaminergic (DAergic) neurons were dramatically lost, together with a comparable decrease in striatal DAergic fibers. Furthermore, using single-cell RNA sequencing, we demonstrated that the decreased DAergic neurons in these midbrain areas might attribute to a shift of the boundary of the local pool of progenitor cells from the hypothalamic floor plate to the midbrain floor plate during the early embryonic stage. Moreover, treatments of mutant rats with levodopa could attenuate the impaired USV and social interactions almost completely, but not the restricted and repetitive behaviors. Our results for the first time documented that the developmental loss of DAergic neurons in the midbrain underlies the pathogenesis of ASD, and that the abnormal progenitor cell patterning is a cellular underpinning for this developmental DAergic neuronal loss. Importantly, the effective dopamine therapy suggests a translational significance in the treatment of ASD.
Collapse
Affiliation(s)
- Yongyi Li
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Mingwei Zhu
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Wen-Xiong Chen
- Department of Neurology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Jing Luo
- School of Basic Medicine, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Xin Li
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
- School of Basic Medicine, Southwest Medical University, Luzhou, Sichuan, 646000, China
- Department of Pathology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Yangyang Cao
- Department of Child Health, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Meng Zheng
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Shanshan Ma
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhilan Xiao
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Yani Zhang
- Department of Neurology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Linyan Jiang
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Xiumin Wang
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Ting Tan
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Xia Li
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Qian Gong
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Xiaoli Xiong
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China
| | - Jun Wang
- Department of Child Health, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Mingxi Tang
- Department of Pathology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
| | - Mingtao Li
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Ya-Ping Tang
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
- Department of Child Health, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
| |
Collapse
|
19
|
Zhang X, Li Z, Zhang Y, Liu Y, Wang J, Liu B, Chen Q, Wang Q, Fu L, Wang P, Zhong X, Jin L, Yan Q, Chen L, He J, Zhao J, Xiong X. Disulfide stabilization reveals conserved dynamic features between SARS-CoV-1 and SARS-CoV-2 spikes. Life Sci Alliance 2023; 6:e202201796. [PMID: 37402591 PMCID: PMC10320017 DOI: 10.26508/lsa.202201796] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 07/06/2023] Open
Abstract
SARS-CoV-2 spike protein (S) is structurally dynamic and has been observed by cryo-EM to adopt a variety of prefusion conformations that can be categorized as locked, closed, and open. S-trimers adopting locked conformations are tightly packed featuring structural elements incompatible with RBD in the "up" position. For SARS-CoV-2 S, it has been shown that the locked conformations are transient under neutral pH. Probably because of their transience, locked conformations remain largely uncharacterized for SARS-CoV-1 S. In this study, we introduced x1, x2, and x3 disulfides into SARS-CoV-1 S. Some of these disulfides have been shown to preserve rare locked conformations when introduced to SARS-CoV-2 S. Introduction of these disulfides allowed us to image a variety of locked and other rare conformations for SARS-CoV-1 S by cryo-EM. We identified bound cofactors and structural features that are associated with SARS-CoV-1 S locked conformations. We compare newly determined structures with other available spike structures of SARS-related CoVs to identify conserved features and discuss their possible functions.
Collapse
Affiliation(s)
- Xixi Zhang
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zimu Li
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yanjun Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yutong Liu
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jingjing Wang
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Banghui Liu
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Qiuluan Chen
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | - Qian Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lutang Fu
- Cryo-electron Microscopy Center, Southern University of Science and Technology, Shenzhen, China
| | - Peiyi Wang
- Cryo-electron Microscopy Center, Southern University of Science and Technology, Shenzhen, China
| | - Xiaolin Zhong
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | - Liang Jin
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | - Qihong Yan
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ling Chen
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China
| | - Jun He
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| |
Collapse
|
20
|
Zhou L, Zhang L, Zhang L, Yi W, Yu X, Mei H, Xiao H, Wang Y, Qin H, Xiong X, Yan S, Dong H, Chen P, Chen X. Analysis of risk factors for non-alcoholic fatty liver disease in hospitalized children with obesity before the late puberty stage. Front Endocrinol (Lausanne) 2023; 14:1224816. [PMID: 37720532 PMCID: PMC10501779 DOI: 10.3389/fendo.2023.1224816] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/04/2023] [Indexed: 09/19/2023] Open
Abstract
Objective This study aimed to determine the clinical characteristics of obese pediatric non-alcoholic fatty liver disease (NAFLD) in central China and verify the applicability of some known risk factors for pediatric NAFLD before late puberty. Methods This was a retrospective case-control study. A total of 1,029 inpatients at Wuhan Children's Hospital before the late puberty stage were enrolled in the study, including 815 children with obesity (non-NAFLD group) and 214 children with obesity and NAFLD (NAFLD group) diagnosed by liver ultrasound. Subgroup analyses were performed according to sex and puberty. The anthropometric indices and laboratory test data of these 1,029 children were sorted. After intergroup comparison, a logistic regression model was used to determine the risk factors for pediatric NAFLD. Significant risk factors for NAFLD were further tested using receiver operating characteristic (ROC) curves to evaluate their ability to predict an early diagnosis of NAFLD. Results The NAFLD group had a mean age of 11.03 ± 1.66, with 11.18 ± 1.66 and 10.27 ± 1.45 years for male and female children, respectively (p < 0.05 and p < 0.01, respectively). Even subdivided by both sex and puberty, raised body mass index (BMI), homeostatic model-insulin resistance, triglycerides, alanine transaminase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transferase (γ-GT) were still found in the non-NAFLD and NAFLD groups (p < 0.05 and p < 0.01, respectively). The results of logistic regression analysis showed that BMI (odds ratio [OR], 1.468;95% confidence interval [CI], 1.356-1.590; p<0.001) and ALT (OR, 1.073;95%CI, 1.060-1.087; P<0.001) were two most independent risk factors for NAFLD. The maximal OR for BMI was 1.721 (95% CI, 1.336-2.217). In the female group, the maximal OR of ALT was found to be 1.104 (95% CI, 1.061-1.148). Age and thyroid-stimulating hormone (TSH) and γ-GT levels were also risk factors, but they appeared only in some groups. The results of the ROC analysis showed that ALT was a better predictor of pediatric NAFLD than BMI. The maximum area under the ROC curve in six of the nine groups belongs to ALT. Conclusions BMI, ALT, and age are risk factors for NAFLD in children with obesity before late puberty. BMI had the greatest exposure risk for NAFLD, and ALT had the highest predictive value for the diagnosis of NAFLD. At the stratified level, for exposure risk, age was specific to the male sex, TSH was specific to the early puberty stage, and γ-GT was specific to the female sex plus the prepuberty stage. On a stratified level, for the female sex, even with age stratification, BMI rather than ALT has a better ability for the diagnosis of NAFLD.
Collapse
Affiliation(s)
- Lishan Zhou
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Linli Zhang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Lingling Zhang
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Yi
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xue Yu
- Department of Pediatrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Affiliated Hospital of Jianghan University, Jianghan University, Wuhan, Hubei, China
| | - Hong Mei
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Haiyan Xiao
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuji Wang
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huan Qin
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaoli Xiong
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Suqi Yan
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hui Dong
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Peng Chen
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaohong Chen
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| |
Collapse
|
21
|
Li R, Chen Q, Cao X, Yan H, Wang P, Huang Q, Li X, Chen F, Li Y, Kong Q, Guo C, Zhang Q, Hong Q, Liu Y, Xiong X, Han Y, Xiao X, Wang K, Wu X, Zhu X, Zhang Q, Chen L. Pregnancy characteristics and adverse outcomes in offspring of women with epilepsy: a prospective registry study from Mainland China. Front Neurol 2023; 14:1195003. [PMID: 37638195 PMCID: PMC10455922 DOI: 10.3389/fneur.2023.1195003] [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: 03/27/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
Objective This study aimed to explore the influencing factors of adverse outcomes in the offspring of women with epilepsy (WWE) and to analyze the changes brought about by the epilepsy knowledge popularization campaign in China (EKPCIC). Methods This nested case-control study focused on WWE and their offspring from a female epilepsy cohort in mainland China. From January 2009 to August 2022, WWE was prospectively enrolled in 32 study centers. This study aimed to observe the health outcomes of their offspring within 1 year of age. The main outcome measure assessed the health status of the offspring within their first year of age. We aimed to analyze the effects of seizures, anti-seizure medicines (ASMs), and a lack of folic acid supplementation on adverse outcomes in the offspring of WWE and to explore the changes in perinatal management and adverse outcomes of the offspring after dissemination of the EKPCIC in 2015. Additionally, subgroup analyses were conducted to compare seizure control during pregnancy between the valproate and non-valproate groups. Results In total, 781 pregnancies in 695 WWE were included, of which 186 (23.69%) had adverse outcomes. The National Hospital Epilepsy Severity Scale score, number of seizures, status epilepticus, ASM type, and valproate and folic acid doses were associated with a high risk of adverse outcomes. After the EKPCIC, the use of ASMs (P = 0.013) and folic acid (P < 0.001), the seizure-free rate during pregnancy (P = 0.013), and the breastfeeding rate (P < 0.001) increased, whereas the incidence of complications during pregnancy decreased (P = 0.013). However, there was no significant difference in the incidence of adverse outcomes between the analyzed offspring pre-/post-EKPCIC. Additionally, there was no association between the frequency of seizures at different time points during pregnancy and the use of valproate (F = 1.514, P = 0.221). Conclusion Possible factors influencing adverse outcomes in the offspring of WWE include seizures, type and number of ASM usage, and a lack of folic acid supplementation. Although the management of WWE during pregnancy is now more standardized, further efforts are needed to reduce adverse outcomes in offspring.
Collapse
Affiliation(s)
- Rui Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qian Chen
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xing Cao
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Hua Yan
- Department of Neurology, Jianyang People's Hospital, Chengdu, Sichuan, China
| | - Pei Wang
- Department of Neurology, Xianyang First People's Hospital, Xianyang, Shanxi, China
| | - Qun Huang
- Department of Pediatrics, The WenJiang Maternal and Child Health Hospital, Chengdu, Sichuan, China
| | - Xiaoyi Li
- Department of Neurology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Fang Chen
- Department of Neurology, Panzhihua Central Hospital, Panzhihua, Sichuan, China
| | - Yangchao Li
- Department of Neurology, The First Affiliated Hospital of Dali University, Dali, Yunnan, China
| | - Qingxia Kong
- Department of Neurology, Affiliated Hospital of Jining Medical College, Jining, Shandong, China
| | - Chonglun Guo
- Epilepsy Center, Suichuan County People's Hospital, Suichuan, Jiangxi, China
| | - Qi Zhang
- Department of Neurology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, Sichuan, China
| | - Qiulei Hong
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yong Liu
- Department of Neurology, The First Affiliation Hospital of Xi'an Jiaotong University, Xian, Shanxi, China
| | - Xiaoli Xiong
- Department of Neurology, Guangyuan Mental Health Center, Guangyuan, Sichuan, China
| | - Yanbing Han
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xiaohua Xiao
- Department of Geriatric Medicine, Shenzhen Second People's Hospital, Shenzhen, Guangzhou, China
| | - Kuiyun Wang
- Department of Neurology, The Jintang First People's Hospital, Chengdu, Sichuan, China
| | - Xunyi Wu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xi Zhu
- Department of Neurology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Qing Zhang
- Department of Neurology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
| | - Lei Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
22
|
Ling Y, Xiong X, Luo J, Zou Q, Chen P, Pan L, Long M, Feng H, Ouyang W. The efficacy and safety in radioactive iodine refractory thyroid cancer patients treated with sorafenib. Front Endocrinol (Lausanne) 2023; 14:1200932. [PMID: 37534207 PMCID: PMC10393119 DOI: 10.3389/fendo.2023.1200932] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/28/2023] [Indexed: 08/04/2023] Open
Abstract
Background Sorafenib included in Chinese medical insurance is the earliest targeted drug for radioactive iodine refractory differentiated thyroid cancer (RR-DTC). This study is to further demonstrate the clinical efficacy and safety of sorafenib used in Zhujiang Hospital of Southern Medical University. Methods RR-DTC patients treated at our Department of Nuclear Medicine in Zhujiang Hospital of Southern Medical University (October 2017-May 2020) were retrospectively analyzed. Treatment effects, progression-free survival (PFS), and adverse effects (AEs) during medication were evaluated. Results Of the 31 patients included, 26 patients were evaluated for efficacy with a median follow-up time of 17.5 months (4.0-51.0 months). The disease control rate (DCR) was 57.7% (n = 15) and the objective response rate (ORR) was 26.9% (n = 7). Most patients with disease control had thyroglobulin decreases of more than 60% (p = 0.004), ORRs were favorable in patients with lung metastasis and lung-only metastasis (p = 0.010 and 0.001, respectively). The PFS of the 26 patients analyzed was 16.5 months (95%CI: 14.41 -23.90 months). In the subgroup analysis, female, patients with lung-only metastasis, hand-foot skin syndrome (HFS), and thyroglobulin response ≥ 60% observed longer PFS (p = 0.038, 0.045, 0.035, and 0.000, respectively), while patients with bone metastasis had lower PFS (p = 0.035). The most common toxicity profile was HFS (93.5%), followed by diarrhea (83.9%), alopecia (74.2%). All the side effects were mainly grade 1-2. Grade 3-4 adverse reactions were more common in diarrhea and HFS. Conclusions Sorafenib has promising efficacy in RR-DTC, especially in patients with lung metastasis and lung-only metastasis. The AEs of sorafenib were generally mild, and the main AE was HFS.
Collapse
Affiliation(s)
- Yuanna Ling
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoli Xiong
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jiaxin Luo
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Quanliang Zou
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Pan Chen
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Liqin Pan
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Man Long
- Department of Ultrasound Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Huijuan Feng
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Wei Ouyang
- Department of Nuclear Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| |
Collapse
|
23
|
Xie J, Chen P, Wang J, Luo X, Luo J, Xiong X, Li C, Pan L, Wu J, Feng H, Ouyang W. Corrigendum: Incorporation size of lymph node metastasis focus and pre-ablation stimulated Tg could more effectively predict clinical outcomes in differentiated thyroid cancer patients without distant metastases. Front Endocrinol (Lausanne) 2023; 14:1221004. [PMID: 37522125 PMCID: PMC10382131 DOI: 10.3389/fendo.2023.1221004] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 06/27/2023] [Indexed: 08/01/2023] Open
Abstract
[This corrects the article DOI: 10.3389/fendo.2023.1094339.].
Collapse
|
24
|
Yang Z, Xiong X, Yan X, Luo S, Zhang Y, Briseghella B, Marano GC. NO x degradation ability of S-g-C 3N 4/MgAl-CLDH nanocomposite and its potential application in cement-based materials. RSC Adv 2023; 13:21510-21520. [PMID: 37469967 PMCID: PMC10352702 DOI: 10.1039/d3ra04243j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 07/12/2023] [Indexed: 07/21/2023] Open
Abstract
In this study a new photocatalytic nanocomposite, S-g-C3N4/MgAl-CLDH, was synthesized and implemented into cement mortar by internal mixing or coating. The photocatalytic NOx degradation efficiency of the S-g-C3N4/MgAl-CLDH and photocatalytic mortar was investigated. The NOx degradation efficiency and photoluminescence spectra of S-g-C3N4/MgAl-CLDH after being immersed in the simulated concrete pore solution were evaluated to assess its chemical stability. The results show that compared with S-g-C3N4, the S-g-C3N4/MgAl-CLDH exhibits a narrower bandgap (2.45 eV), a lower photogenerated electron-hole pair recombination rate and a higher specific surface area (36.86 m2 g-1). After 21 min of visible light irradiation, the NOx degradation rate of S-g-C3N4/MgAl-CLDH achieves 100% as compared to merely 81.5% of S-g-C3N4. After being submerged in simulated concrete pore solution, the S-g-C3N4/MgAl-CLDH exhibits only a slight decrease of 5% in degradation rate after 12 min of irradiation, confirming a good compatibility and stability in cement-based materials. The NOx degradation ability of the internally mixed mortar is enhanced with an increase in the dosage of S-g-C3N4/MgAl-CLDH. For coated mortar, in contrast, a decline in NOx degradation rate is observed after 5 layers of coating owing to the lower porosity of mortar after excessive coating.
Collapse
Affiliation(s)
- Zhengxian Yang
- Joint International Research Laboratory of Deterioration and Control of Costal and Marine Infrastructures and Materials, College of Civil Engineering, Fuzhou University Fuzhou 350108 China
| | - Xiaoli Xiong
- Joint International Research Laboratory of Deterioration and Control of Costal and Marine Infrastructures and Materials, College of Civil Engineering, Fuzhou University Fuzhou 350108 China
| | - Xueyuan Yan
- Joint International Research Laboratory of Deterioration and Control of Costal and Marine Infrastructures and Materials, College of Civil Engineering, Fuzhou University Fuzhou 350108 China
| | - Shengyang Luo
- Joint International Research Laboratory of Deterioration and Control of Costal and Marine Infrastructures and Materials, College of Civil Engineering, Fuzhou University Fuzhou 350108 China
| | - Yong Zhang
- Joint International Research Laboratory of Deterioration and Control of Costal and Marine Infrastructures and Materials, College of Civil Engineering, Fuzhou University Fuzhou 350108 China
| | - Bruno Briseghella
- Joint International Research Laboratory of Deterioration and Control of Costal and Marine Infrastructures and Materials, College of Civil Engineering, Fuzhou University Fuzhou 350108 China
| | - Giuseppe Carlo Marano
- Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino Corso Duca degli Abruzzi 24-10129 Torino Italy
| |
Collapse
|
25
|
Zou Z, Ye S, Xiao J, Jiang C, Zhang S, Tan C, Xiong X, Huang K. Ag-containing metal organic framework reacted with AsH 3: Mechanism and application for inorganic arsenic detection by hydride generation-smartphone RGB readout colorimetric system. Food Chem 2023; 428:136806. [PMID: 37450952 DOI: 10.1016/j.foodchem.2023.136806] [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: 02/15/2023] [Revised: 06/26/2023] [Accepted: 07/02/2023] [Indexed: 07/18/2023]
Abstract
The reaction mechanism of Ag-containing metal organic framework (Ag-BTC) and hydrogen arsenide (AsH3) was discussed in detail in this work. Silver ions in Ag-BTC were reacted with AsH3, and silver nanoparticles were generated on the surface of Ag-BTC, causing its color changed. This property was further applied to a hydride generation-colorimetric analytical system. As(III) was converted to AsH3via hydride generation and then reacted with the Ag-BTC (immobilized on test paper), leading to the test paper changed from white to black. Visual colorimetric and smartphone RGB readout mode were used for this analytical system. The results could be readout by naked-eye in visual colorimetric mode and a smartphone in RGB readout mode. Under the optimized conditions, As(III) concentration as low as 10 μg/L and 50 μg/L could be readout by smartphone and naked-eye, respectively. This method was further successful applied to As(III) determination in real samples (drinking water samples and scented tea samples), with recoveries of 91-113%.
Collapse
Affiliation(s)
- Zhirong Zou
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China; Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China.
| | - Shuang Ye
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Jing Xiao
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Chenxi Jiang
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Shu Zhang
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Chao Tan
- Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China
| | - Xiaoli Xiong
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Ke Huang
- College of Chemistry and Material Science, Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu, Sichuan 610068, China.
| |
Collapse
|
26
|
Tang X, Zhao S, Wu J, He Z, Zhang Y, Huang K, Zou Z, Xiong X. Construction of rose flower-like NiCo-LDH electrode derived from bimetallic MOF for highly sensitive electrochemical sensing of hydrazine in food samples. Food Chem 2023; 427:136648. [PMID: 37399644 DOI: 10.1016/j.foodchem.2023.136648] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 06/11/2023] [Accepted: 06/14/2023] [Indexed: 07/05/2023]
Abstract
It is necessary to efficient detection hydrazine in food. Exploring highly sensitive, low-cost and fast response electrochemical hydrazine sensing methods has been a challenge in this field. In this paper, a conformal transformation method is used to prepare rose flower-like NiCo-LDH derivating from the bimetallic NiCo-MOFs, and the N2H4 sensing platform with a large electrocatalytic area, high conductivity and good stability was constructed. Based on the synergy between Ni and Co and the remarkable catalytic activity of the rough 3D flower-like structure, the N2H4 sensor has a linear response in the concentration range of 0.001-1 mmol/L and 1-7 mmol/L, with a sensitivity of 5342 μA L mmol-1 cm-2 and 2965 μA L mmol-1 cm-2 (S/N = 3), respectively, and low limit of detection of 0.043 μmol/L. This study opens a new door for the successful application of electrochemical sensors to detect N2H4 in real food samples.
Collapse
Affiliation(s)
- Xin Tang
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, Sichuan, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Shan Zhao
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Jiaying Wu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Zhiyuan He
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Yu Zhang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Ke Huang
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, Sichuan, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China
| | - Zhirong Zou
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, Sichuan, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China.
| | - Xiaoli Xiong
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, Sichuan, China; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, Sichuan, China.
| |
Collapse
|
27
|
Zhou J, Lin X, Zhao L, Huang K, Yang Q, Yu H, Xiong X. Headspace single drop microextraction based visual colorimetry for highly sensitive, selective and matrix interference-resistant determination of sulfur dioxide in food samples. Food Chem 2023; 426:136659. [PMID: 37356248 DOI: 10.1016/j.foodchem.2023.136659] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 05/30/2023] [Accepted: 06/16/2023] [Indexed: 06/27/2023]
Abstract
Excessive intake of SO2, a widely-used food additive, is able to cause respiratory, cardiovascular and neurological disease. For effectively monitoring SO2 level, we have developed a headspace single drop microextraction based visual colorimetry for highly sensitive and selective sensing of SO2 with TMB (3,3',5,5'-tetramethylbenzidine) as a classic chromogenic reagent. A combination of single drop and headspace microextraction integrated merits of high extraction efficiency, low consumption of reagents and excellent matrix interference-resistant ability. The colorimetric principle was based on oxidation of TMB, and SO2 could compete with TMB to preferentially react with ·OH, resulting in the fading of color blue that could be easily read out by naked eye. LOD was calculated to be 0.53 μM and 5 μM by UV-vis and naked eye, respectively. The method was successfully utilized to analysis of food samples, and the experimental device was miniaturized and easy to construct, thus showing a promising potential in field analysis.
Collapse
Affiliation(s)
- Jie Zhou
- College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Xiaojie Lin
- College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Li Zhao
- College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Ke Huang
- College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Qing Yang
- College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Huimin Yu
- College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Xiaoli Xiong
- College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| |
Collapse
|
28
|
Zhang Y, Jin Y, Yuan X, Zhao S, Ye J, Xue K, Hu J, Xiong X. Layered bimetallic hydroxide nanocage assembled on MnO 2 nanotubes: A hierarchical porous sugar gourd-like electrocatalyst for the sensitive detection of hydrogen peroxide in food. Food Chem 2023; 426:136517. [PMID: 37348396 DOI: 10.1016/j.foodchem.2023.136517] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/30/2023] [Accepted: 05/30/2023] [Indexed: 06/24/2023]
Abstract
Hydrogen peroxide is used widely as a disinfection or bleaching additive during processing in the food industry. However, excessive residues of hydrogen peroxide in food have serious human health implications. In the present study, a novel electrochemical sensing electrode (MnO2/ZIF-67@LDH) with hierarchical porous sugar gourd-like structure was fabricated through a multi-step hydrothermal method using ZIF as the precursor. The unique porous nanocage structure of the sensing electrode provided multidimensional charge transfer channels and accelerated the electron transfer rate. As a hydrogen peroxide sensor, the electrode had two detection linear ranges of 1×10-3-4 mmol L-1 and 4-8 mmol L-1, and the detection limit was 0.26 µmol L-1. The MnO2/ZIF-67@LDH sensor was also applied to determine the content of hydrogen peroxide in actual food samples of juice and milk, and satisfactory recovery were achieved. The present study provides a novel and effective design strategy for the construction of electrochemical sensing electrodes.
Collapse
Affiliation(s)
- Yu Zhang
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, Sichuan, China
| | - Yao Jin
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, Sichuan, China
| | - Xiangwei Yuan
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, Sichuan, China
| | - Shan Zhao
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, Sichuan, China
| | - Jun Ye
- College of Chemistry and Life Science, Chengdu Normal University, Chengdu, 611130, Sichuan, China.
| | - Kang Xue
- Food Safety Detection Key Laboratory of Sichuan Province, Chengdu, 610041, Sichuan, China; Technology Center of Chengdu Customs, Chengdu, 610041, Sichuan, China
| | - Jiangtao Hu
- Food Safety Detection Key Laboratory of Sichuan Province, Chengdu, 610041, Sichuan, China; Technology Center of Chengdu Customs, Chengdu, 610041, Sichuan, China
| | - Xiaoli Xiong
- Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610068, Sichuan, China.
| |
Collapse
|
29
|
Jiang C, Ye S, Xiao J, Tan C, Yu H, Xiong X, Huang K, Deng Y, Zou Z. Hydride generation-smartphone RGB readout and visual colorimetric dual-mode system for the detection of inorganic arsenic in water samples and honeys. Food Chem X 2023; 18:100634. [PMID: 36968312 PMCID: PMC10036497 DOI: 10.1016/j.fochx.2023.100634] [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] [Received: 01/03/2023] [Revised: 03/04/2023] [Accepted: 03/06/2023] [Indexed: 03/18/2023] Open
Abstract
A miniaturized/portable dual-mode colorimetric analytical system was established for inorganic arsenic determination in honey and drinking water samples. Hydride generation (HG) was utilized as a sampling technique for this colorimetric system, because of its high generation efficiency and efficient matrix separation. AsH3 was generated via HG and then reacted with HAuCl4, gold nanoparticles (Au NPs) were formed on the paper sheet, leading the paper color changed from light yellow to dark blue, it could be readout by naked-eye (visual colorimetric mode) and a smartphone (RGB readout mode) simultaneously. The accuracy and potential application for field analysis were further confirmed by the analysis of two water samples, four honey samples and two certified reference water samples (BWB2440-2016 and GBW08650), good recoveries (90-116%) were obtained for those samples and their spiked samples.
Collapse
|
30
|
Tang Z, Yu P, Guo Q, Chen M, Lei Y, Zhou L, Mai W, Chen L, Deng M, Kong W, Niu C, Xiong X, Li W, Chen C, Lai C, Wang Q, Li B, Ji T. Clinical characteristics and host immunity responses of SARS-CoV-2 Omicron variant BA.2 with deletion of ORF7a, ORF7b and ORF8. Virol J 2023; 20:106. [PMID: 37248496 DOI: 10.1186/s12985-023-02066-3] [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: 02/05/2023] [Accepted: 05/08/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND The pathogenicity and virulence of the Omicron strain have weakened significantly pathogenesis of Omicron variants. Accumulating data indicated accessory proteins play crucial roles in host immune evasion and virus pathogenesis of SARS-CoV-2. Therefore, the impact of simultaneous deletion of accessory protein ORF7a, ORF7b and ORF8 on the clinical characteristics and specific immunity in Omicron breakthrough infected patients (BIPs) need to be verified. METHODS Herein, plasma cytokines were identified using a commercial Multi-cytokine detection kit. Enzyme-linked immunosorbent assay and pseudovirus neutralization assays were utilized to determine the titers of SARS-CoV-2 specific binding antibodies and neutralizing antibodies, respectively. In addition, an enzyme-linked immunospot assay was used to quantify SARS-CoV-2 specific T cells and memory B cells. RESULTS A local COVID-19 outbreak was caused by the Omicron BA.2 variant, which featured a deletion of 871 base pairs (∆871 BA.2), resulting in the removal of ORF7a, ORF7b, and ORF8. We found that hospitalized patients with ∆871 BA.2 had significantly shorter hospital stays than those with wild-type (WT) BA.2. Plasma cytokine levels in both ∆871 BA.2 and WT BA.2 patients were within the normal range of reference, and there was no notable difference in the titers of SARS-CoV-2 ancestor or Omicron-specific binding IgG antibodies, neutralizing antibody titers, effector T cells, and memory B cells frequencies between ∆871 BA.2 and WT BA.2 infected adult patients. However, antibody titers in ∆871 BA.2 infected adolescents were higher than in adults. CONCLUSIONS The simultaneous deletion of ORF7a, ORF7b, and ORF8 facilitates the rapid clearance of the BA.2 variant, without impacting cytokine levels or affecting SARS-CoV-2 specific humoral and cellular immunity in Omicron-infected individuals.
Collapse
Affiliation(s)
- Zhizhong Tang
- Urology Surgery Department, Maoming People's Hospital, Maoming, 525000, People's Republic of China
| | - Pei Yu
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Qianfang Guo
- Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong, 511430, People's Republic of China
| | - Mingxiao Chen
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Yu Lei
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Lei Zhou
- Department Of Pathology Laboratory, Maoming People's Hospital, Maoming, 525000, People's Republic of China
| | - Weikang Mai
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Lu Chen
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Min Deng
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Weiya Kong
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Chuanying Niu
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510535, People's Republic of China
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510535, People's Republic of China
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, 510005, People's Republic of China
| | - Wenrui Li
- Clinical Laboratory Medicine Department, Dongguan Ninth People's Hospital, Dongguan, 523016, People's Republic of China
| | - Chunbo Chen
- Intensive Care Unit Department, Maoming People's Hospital, Maoming, 525000, People's Republic of China
| | - Changchun Lai
- Clinical Laboratory Medicine Department, Maoming People's Hospital, Maoming, 525000, People's Republic of China.
| | - Qian Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China.
| | - Baisheng Li
- Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong, 511430, People's Republic of China.
| | - Tianxing Ji
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China.
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, 511495, People's Republic of China.
| |
Collapse
|
31
|
Ma Y, Li P, Hu Y, Qiu T, Wang L, Lu H, Lv K, Xu M, Zhuang J, Liu X, He S, He B, Liu S, Liu L, Wang Y, Yue X, Zhai Y, Luo W, Mai H, Kuang Y, Chen S, Ye F, Zhou N, Zhao W, Chen J, Chen S, Xiong X, Shi M, Pan JA, Chen YQ. Spike substitution T813S increases Sarbecovirus fusogenicity by enhancing the usage of TMPRSS2. PLoS Pathog 2023; 19:e1011123. [PMID: 37196033 DOI: 10.1371/journal.ppat.1011123] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 05/30/2023] [Accepted: 04/24/2023] [Indexed: 05/19/2023] Open
Abstract
SARS-CoV Spike (S) protein shares considerable homology with SARS-CoV-2 S, especially in the conserved S2 subunit (S2). S protein mediates coronavirus receptor binding and membrane fusion, and the latter activity can greatly influence coronavirus infection. We observed that SARS-CoV S is less effective in inducing membrane fusion compared with SARS-CoV-2 S. We identify that S813T mutation is sufficient in S2 interfering with the cleavage of SARS-CoV-2 S by TMPRSS2, reducing spike fusogenicity and pseudoparticle entry. Conversely, the mutation of T813S in SARS-CoV S increased fusion ability and viral replication. Our data suggested that residue 813 in the S was critical for the proteolytic activation, and the change from threonine to Serine at 813 position might be an evolutionary feature adopted by SARS-2-related viruses. This finding deepened the understanding of Spike fusogenicity and could provide a new perspective for exploring Sarbecovirus' evolution.
Collapse
Affiliation(s)
- Yong Ma
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Pengbin Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yunqi Hu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Tianyi Qiu
- Institute of Clinical Science, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lixiang Wang
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Hongjie Lu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Kexin Lv
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Mengxin Xu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Jiaxin Zhuang
- The Center for Infection and Immunity Study and Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Xue Liu
- The Center for Infection and Immunity Study and Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Suhua He
- Molecular Imaging Center, Guangdong Provincial Key Laboratory of Biomedical Imaging, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Bing He
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Shuning Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Lin Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yuanyuan Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Xinyu Yue
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yanmei Zhai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Wanyu Luo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Haoting Mai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yu Kuang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Shifeng Chen
- The 74(th) Group Army Hospital, Guangzhou, China
| | - Feng Ye
- The 74(th) Group Army Hospital, Guangzhou, China
| | - Na Zhou
- The 74(th) Group Army Hospital, Guangzhou, China
| | - Wenjing Zhao
- The Center for Infection and Immunity Study and Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Jun Chen
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Shoudeng Chen
- Molecular Imaging Center, Guangdong Provincial Key Laboratory of Biomedical Imaging, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Mang Shi
- The Center for Infection and Immunity Study and Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Ji-An Pan
- The Center for Infection and Immunity Study and Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yao-Qing Chen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
- National Medical Products Administration Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Sun Yat-sen University, Guanzhou, China
| |
Collapse
|
32
|
Yun W, Lin Y, Wang R, Ha X, Xie N, Xiong X, Xiong Z, Li N, Wang X, Yang L. Dual-amplification colorimetric detection of bisphenol A based on catalytic hairpin assembly and DNAzyme-caused fragment self-assembly hybridization chain reaction. Anal Methods 2023; 15:2522-2527. [PMID: 37191086 DOI: 10.1039/d3ay00409k] [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] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
An efficient and innovative strategy for colorimetric detection of bisphenol A (BPA) is shown here based on target-induced catalytic hairpin assembly (CHA) and DNAzyme-caused fragment self-assembly hybridization chain reaction (HCR). BPA can bind with its aptamer hairpin to trigger CHA, thus forming Y-shaped DNA nanostructures with an enzyme-strand (E-DNA) tail. Subsequently, the E-DNA can cyclically cleave the substrate hairpin, generating many fragments which can cause self-assembly HCR to form long strand DNA. Finally, the formed long strand DNA can hybridize with short single strand DNA on AuNPs, causing the color change of AuNPs from red to blue. Six important detection conditions of the proposed aptasensor were optimized. Under optimal conditions, the biosensor has high sensitivity for BPA detection at concentrations ranging from 0.8 pM to 500 pM and the detection limit is as low as 0.2 pM, providing a promising prospective ultrasensitive detection of BPA.
Collapse
Affiliation(s)
- Wen Yun
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Yiyan Lin
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Ruiqi Wang
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Xia Ha
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Nana Xie
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Xiaoli Xiong
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Zhengwei Xiong
- Collaborative Innovation Centre for Child Nutrition and Health Development, Chongqing University of Education, Chongqing 400067, P. R. China
| | - Ning Li
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Xingmin Wang
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China
| | - Lizhu Yang
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| |
Collapse
|
33
|
Dong Q, Ling C, Zhao S, Tang X, Zhang Y, Xing Y, Yu H, Huang K, Zou Z, Xiong X. One-step rapid synthesis of Ni 0.5Co 0.5-CPO-27 nanorod array with oxygen vacancies based on DBD microplasma: As an effective non-enzymatic glucose sensor for beverage and human serum. Food Chem 2023; 407:135144. [PMID: 36493474 DOI: 10.1016/j.foodchem.2022.135144] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 11/26/2022] [Accepted: 11/30/2022] [Indexed: 12/03/2022]
Abstract
The rational design of high-efficiency catalysts for non-enzymatic glucose sensing is extremely important for the timely and effective monitoring of glucose content in beverages and human blood. A 3D bimetallic organic framework (Coordination Polymer of Oslo, CPO) nanorod array with oxygen vacancies was green fabricated on carbon cloth (Ni0.5Co0.5-CPO-27 NRA/CC) using dielectric barrier discharge (DBD) microplasma for the first time. Density functional theory (DFT) calculations demonstrated that the oxygen vacancy of Ni0.5Co0.5-CPO-27 can be effectively induced under DBD microplasma conditions. Based on the 3D nanorod arrays with rich oxygen vacancies and bimetallic synergistic effects, as a non-enzyme glucose sensor, the Ni0.5Co0.5-CPO-27 electrode exhibited a sensitivity of 8499.5 μA L/mmol cm-2 and 3239.2 μA L/mmol cm-2 and a limit of detection (LOD) of 0.16 μmol/L (S/N = 3). It has been successfully applied to the determination of glucose levels in real samples such as cola, green tea and human serum.
Collapse
Affiliation(s)
- Qiaoyan Dong
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Chengshuang Ling
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Shan Zhao
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Xin Tang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Yu Zhang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Yun Xing
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Huimin Yu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Ke Huang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Zhirong Zou
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Xiaoli Xiong
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| |
Collapse
|
34
|
Guo Y, Dai G, Xiong X, Wang X, Chen H, Zhou X, Huang W, Chen F. Intravoxel incoherent motion radiomics nomogram for predicting tumor treatment responses in nasopharyngeal carcinoma. Transl Oncol 2023; 31:101648. [PMID: 36905870 PMCID: PMC10020114 DOI: 10.1016/j.tranon.2023.101648] [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: 09/20/2022] [Revised: 02/09/2023] [Accepted: 02/27/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Intravoxel incoherent motion (IVIM) plays an important role in predicting treatment responses in patient with nasopharyngeal carcinoma (NPC). The goal of this study was to develop and validate a radiomics nomogram based on IVIM parametric maps and clinical data for the prediction of treatment responses in NPC patients. METHODS Eighty patients with biopsy-proven NPC were enrolled in this study. Sixty-two patients had complete responses and 18 patients had incomplete responses to treatment. Each patient received a multiple b-value diffusion-weighted imaging (DWI) examination before treatment. Radiomics features were extracted from IVIM parametric maps derived from DWI image. Feature selection was performed by the least absolute shrinkage and selection operator method. Radiomics signature was generated by support vector machine based on the selected features. Receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) values were used to evaluate the diagnostic performance of radiomics signature. A radiomics nomogram was established by integrating the radiomics signature and clinical data. RESULTS The radiomics signature showed good prognostic performance to predict treatment response in both training (AUC = 0.906, P<0.001) and testing (AUC = 0.850, P<0.001) cohorts. The radiomic nomogram established by integrating the radiomic signature with clinical data significantly outperformed clinical data alone (C-index, 0.929 vs 0.724; P<0.0001). CONCLUSIONS The IVIM-based radiomics nomogram provided high prognostic ability to treatment responses in patients with NPC. The IVIM-based radiomics signature has the potential to be a new biomarker in prediction of the treatment responses and may affect treatment strategies in patients with NPC.
Collapse
Affiliation(s)
- Yihao Guo
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China
| | - Ganmian Dai
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China
| | - Xiaoli Xiong
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China
| | - Xiaoyi Wang
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China
| | - Huijuan Chen
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China
| | - Xiaoyue Zhou
- Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai 201306, China
| | - Weiyuan Huang
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China.
| | - Feng Chen
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China.
| |
Collapse
|
35
|
Yu H, Liu B, Zhang Y, Gao X, Wang Q, Xiang H, Peng X, Xie C, Wang Y, Hu P, Shi J, Shi Q, Zheng P, Feng C, Tang G, Liu X, Guo L, Lin X, Li J, Liu C, Huang Y, Yang N, Chen Q, Li Z, Su M, Yan Q, Pei R, Chen X, Liu L, Hu F, Liang D, Ke B, Ke C, Li F, He J, Wang M, Chen L, Xiong X, Tang X. Somatically hypermutated antibodies isolated from SARS-CoV-2 Delta infected patients cross-neutralize heterologous variants. Nat Commun 2023; 14:1058. [PMID: 36828833 PMCID: PMC9951844 DOI: 10.1038/s41467-023-36761-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 02/10/2023] [Indexed: 02/26/2023] Open
Abstract
SARS-CoV-2 Omicron variants feature highly mutated spike proteins with extraordinary abilities in evading antibodies isolated earlier in the pandemic. Investigation of memory B cells from patients primarily with breakthrough infections with the Delta variant enables isolation of a number of neutralizing antibodies cross-reactive to heterologous variants of concern (VOCs) including Omicron variants (BA.1-BA.4). Structural studies identify altered complementarity determining region (CDR) amino acids and highly unusual heavy chain CDR2 insertions respectively in two representative cross-neutralizing antibodies-YB9-258 and YB13-292. These features are putatively introduced by somatic hypermutation and they are heavily involved in epitope recognition to broaden neutralization breadth. Previously, insertions/deletions were rarely reported for antiviral antibodies except for those induced by HIV-1 chronic infections. These data provide molecular mechanisms for cross-neutralization of heterologous SARS-CoV-2 variants by antibodies isolated from Delta variant infected patients with implications for future vaccination strategy.
Collapse
Affiliation(s)
- Haisheng Yu
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
| | - Banghui Liu
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China
| | - Yudi Zhang
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xijie Gao
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, China
| | - Qian Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haitao Xiang
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Xiaofang Peng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Caixia Xie
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Yaping Wang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Peiyu Hu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, China
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China
| | - Jingrong Shi
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Quan Shi
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Pingqian Zheng
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, China
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China
| | - Chengqian Feng
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Guofang Tang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaopan Liu
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Liliangzi Guo
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiumei Lin
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Jiaojiao Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Chuanyu Liu
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Yaling Huang
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Naibo Yang
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Qiuluan Chen
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, China
| | - Zimu Li
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China
| | - Mengzhen Su
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China
- University of Science and Technology of China, Hefei, Anhui, China
| | - Qihong Yan
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rongjuan Pei
- State Key Laboratory of Virology, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Xinwen Chen
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China
- State Key Laboratory of Virology, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Longqi Liu
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Fengyu Hu
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Dan Liang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Bixia Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Changwen Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
| | - Feng Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
| | - Jun He
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China.
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, China.
| | - Meiniang Wang
- BGI-Shenzhen, Shenzhen, China.
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.
| | - Ling Chen
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China.
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, China.
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China.
| | - Xiaoli Xiong
- The State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, the Chinese Academy of Sciences, Guangzhou, China.
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, China.
| | - Xiaoping Tang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China.
| |
Collapse
|
36
|
Zhou L, Luo L, Ying DM, Xiang JG, Xiong X, Gao CY, Sun QL, Chen ZQ. [Observation on the clinical outcomes of continued pregnancy following cesarean scar pregnancy in 55 women]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:37-43. [PMID: 36720613 DOI: 10.3760/cma.j.cn112141-20220817-00515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Objective: To observe the clinical outcomes of continued pregnancy in pregnant women with cesarean scar pregnancy (CSP). Methods: A retrospective analysis was performed on the pregnancy outcomes of 55 pregnant women who were diagnosed with CSP at the Second Affiliated Hospital of Army Medical University during the first trimester of pregnancy from August 1st, 2018 to October 31st, 2021 and strongly requested to continue the pregnancy. Results: Of the 55 pregnant women, 15 terminated the pregnancy in the first trimester, 1 underwent hysterotomy at 23 weeks of gestation due to cervical dilation, and 39 (71%, 39/55) continued pregnancy to the third trimester achieving live births via cesarean section. The gestational age of the 39 pregnant women delivered by cesarean section was 35+6 weeks (range: 28+5-39+2 weeks), of whom 7 cases at 28+5-33+6 weeks, 20 cases at 34-36+6 weeks, and 12 cases at 37-39+2 weeks. The results of pathological examination were normal placenta in 3 cases (8%, 3/39), placenta creta in 4 cases (10%, 4/39), placenta increta in 9 cases (23%, 9/39) and placenta percreta in 23 cases (59%, 23/39). Among the 36 pregnant women who were pathologically confirmed as placenta accreta spectrum disorders (PAS) after surgery, the last prenatal ultrasonography showed placenta previa in 27 cases (75%, 27/36) and not observed placenta previa in 9 cases. The median intraoperative blood loss, autologous blood transfusion, and allogeneic suspended red blood cell infusion of 39 pregnant women during cesarean section were 1 000 ml (300-3 500 ml), 300 ml (0-2 000 ml) and 400 ml (0-2 400 ml), respectively. The uterine preservation rate was 100% (39/39), and only 1 case received cystostomy due to intracystic hemorrhage. The birth weight of the newborn was 2 580 g (1 350-3 800 g), and 1 case of mild asphyxia. Conclusions: Pregnant women with CSP who continue pregnancy under close monitoring after adequate ultrasound evaluation and doctor-patient communication could achieve better maternal and infant outcomes, but pregnant women with CSP are highly likely to continue pregnancy and develop into PAS. Effective hemostasis means and multidisciplinary team cooperation are needed in perinatal period for ensuring maternal and fetal safety.
Collapse
Affiliation(s)
- L Zhou
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - L Luo
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - D M Ying
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - J G Xiang
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - X Xiong
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - C Y Gao
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - Q L Sun
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - Z Q Chen
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| |
Collapse
|
37
|
Zhang Y, Wu J, Zhao S, Tang X, He Z, Huang K, Yu H, Zou Z, Xiong X. Self-assembled ZnO microspheres coated with carbon dot-doped CoNi LDH wrinkled films as electrochemical sensors for highly sensitive detection of hydrazine. Anal Methods 2023; 15:304-310. [PMID: 36546428 DOI: 10.1039/d2ay01698b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In this study, a 3D surface-folded composite was prepared in situ as a hydrazine sensor by loading a hybrid film of CoNi-layered double hydroxides (LDHs) with nitrogen-doped carbon dots on self-assembled ZnO microspheres. The nanocomposite was characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR), and the electrochemical behavior of the sensors was investigated by cyclic voltammetry (CV), amperometry and electrochemical impedance spectroscopy (EIS). The results showed that ZnO microspheres with nitrogen-doped carbon dots strongly coupled with LDHs can significantly reduce the charge transfer resistance, accelerate the oxidation kinetics of hydrazine, and effectively increase the electrochemically active surface area (ECSA). The sensor achieved ultra-sensitive (13 040 μA mM-1 cm-2 (S/N = 3)) detection of hydrazine in the concentration range of 0.7 μM to 4 mM, exhibited excellent selectivity, reproducibility and high stability, and was successfully applied to the determination of hydrazine in actual environmental water samples and landfill leachate samples.
Collapse
Affiliation(s)
- Yu Zhang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Jiaying Wu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Shan Zhao
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Xin Tang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Zhiyuan He
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Ke Huang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Huimin Yu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Zhirong Zou
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Xiaoli Xiong
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| |
Collapse
|
38
|
Li N, Yuan M, Lu S, Xiong X, Xie Z, Liu Y, Guan W. Highly effective removal of nickel ions from wastewater by calcium-iron layered double hydroxide. Front Chem 2023; 10:1089690. [PMID: 36688044 PMCID: PMC9846783 DOI: 10.3389/fchem.2022.1089690] [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: 11/04/2022] [Accepted: 12/08/2022] [Indexed: 01/06/2023] Open
Abstract
Water pollution due to heavy metals has become a universal environmental problem. Ni(II) is a common heavy metal ion in polluted wastewater, which has high toxicity and carcinogenicity. In this study, the structure of a calcium-iron layered double hydroxide (Ca-Fe-LDHs) was synthesized and characterized by FTIR, XRD, SEM and XPS. Then, Ni(II) ion was effectively removed by Ca-Fe-LDHs and its mechanism for this materials was described. The maximum adsorption capacity of Ni(II) for Ca-Fe-LDHs was 418.9 mg‧g-1 when the initial concentration of Ni(II) was 1 g/L. The adsorption and removal of Ni(II) by Ca-Fe-LDHs was attributed to the action of hydroxyl groups on the hydrotalcite, generating surface capture. Ni(OH)2)0.75(H2O)0.16(NiCO3)0.09, Ni(OH)2, NiO, NiSO4 and other precipitates were generated on its surface. And a small amount of Ni-Fe-LDHs was generated through isomorphic transition before hydrolysis. Therefore, surface capture and isomorphic transition enhanced the removal efficiency of Ni(II) with Ca-Fe-LDHs, making Ca-Fe-LDHs as a potential material for effective removal of Ni(II).
Collapse
Affiliation(s)
- Ning Li
- Department of Chemistry and Chemical Engineering, College of Environment and Resource, Chongqing Technology and Business University, Chongqing, China
| | - Mingjie Yuan
- Department of Chemistry and Chemical Engineering, College of Environment and Resource, Chongqing Technology and Business University, Chongqing, China
| | - Sheng Lu
- Department of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, China
| | - Xiaoli Xiong
- Department of Chemistry and Chemical Engineering, College of Environment and Resource, Chongqing Technology and Business University, Chongqing, China
| | - Zhigang Xie
- Chongqing Key Laboratory of Environmental Materials and Remediation Technologies, Chongqing University of Arts and Sciences, Chongqing, China,*Correspondence: Zhigang Xie, ; Wei Guan,
| | - Yongsheng Liu
- Department of Chemistry and Chemical Engineering, College of Environment and Resource, Chongqing Technology and Business University, Chongqing, China
| | - Wei Guan
- Chongqing Key Laboratory of Environmental Materials and Remediation Technologies, Chongqing University of Arts and Sciences, Chongqing, China,*Correspondence: Zhigang Xie, ; Wei Guan,
| |
Collapse
|
39
|
Liu J, Wang Y, Yin J, Zi L, Xiong X, Jian Z. A Canine Surgical Model of Stroke by Minimally Invasive Occlusion of the Proximal Middle Cerebral Artery. Bull Exp Biol Med 2023; 174:370-375. [PMID: 36735113 DOI: 10.1007/s10517-023-05710-8] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Indexed: 02/04/2023]
Abstract
In this study, a model of ischemic stroke by surgical proximal middle cerebral artery (MCA) occlusion was developed on 10 beagle dogs. The advantages of this model are the transtemporal approach and a minimally invasive surgical procedure. Dogs were randomly assigned to two groups: sham-operated (proximal MCA exposure without occlusion) and experimental (permanent proximal MCA occlusion) groups. Different evaluation methods were used to assess the consequences of MCA occlusion in dogs, including neurobehavioral tests, MRI, and immunohistochemical staining. Clear signs of cerebral infarction associated with the region supplied by MCA were confirmed and the model showed good repeatability and consistency. The model can serve as an appropriate large animal model to improve the translation of stroke therapeutics research from the laboratory to the clinical practice.
Collapse
Affiliation(s)
- J Liu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Y Wang
- Department of Cardiology, Renmin Hospital of Wuhan University, Cardiovascular Research Institute of Wuhan University, Hubei Key Laboratory of Cardiology, Wuhan, Hubei Province, China
| | - J Yin
- Department of Cardiology, Renmin Hospital of Wuhan University, Cardiovascular Research Institute of Wuhan University, Hubei Key Laboratory of Cardiology, Wuhan, Hubei Province, China
| | - L Zi
- Department of Cardiology, Renmin Hospital of Wuhan University, Cardiovascular Research Institute of Wuhan University, Hubei Key Laboratory of Cardiology, Wuhan, Hubei Province, China
| | - X Xiong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
| | - Z Jian
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
| |
Collapse
|
40
|
Xie J, Chen P, Wang J, Luo X, Luo J, Xiong X, Li C, Pan L, Wu J, Feng H, Ouyang W. Incorporation size of lymph node metastasis focus and pre-ablation stimulated Tg could more effectively predict clinical outcomes in differentiated thyroid cancer patients without distant metastases. Front Endocrinol (Lausanne) 2023; 14:1094339. [PMID: 37025409 PMCID: PMC10072321 DOI: 10.3389/fendo.2023.1094339] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 03/07/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND The size of lymph node metastasis (LNM) and pre-ablation stimulated Tg (ps-Tg) were key predictors of clinical prognosis in differentiated thyroid cancer (DTC) patients, however, very few studies combine the above two as predictors of clinical prognosis of DTC patients. METHODS Persistent/recurrent disease and clinicopathologic factors were analyzed in 543 DTC patients without distant metastases who underwent LN dissection, near-total/total thyroidectomy, and radioiodine ablation. RESULTS In the multivariate analysis, size of LNM, ps-Tg, and the activity of 131I significantly correlated with long-term remission. The optimal cutoff size of LNM 0.4 cm-1.4 cm (intermediate-risk patients) and >1.4cm (high-risk patients) increased the recurrence risk (hazard ratio [95% CI], 4.674 [2.881-7.583] and 13.653 [8.135-22.913], respectively). Integration of ps-Tg into the reclassification risk stratification showed that ps-Tg ≤ 10.0 ng/mL was relevant to a greatly heightened possibility of long-term remission (92.2%-95.4% in low-risk patients, 67.3%-87.0% in intermediate-risk patients, and 32.3%-57.7% in high-risk patients). CONCLUSION The cutoff of 0.4 cm and 1.4 cm for a definition of size of LNM in DTC patients without distant metastases can reclassify risk assessment, and incorporating ps-Tg could more effectively predict clinical outcomes and modify the postoperative management plan.
Collapse
|
41
|
Ran G, Yang J, Xing Y, Zhang Y, Tang X, Hu Q, Huang K, Zou Z, Yu H, Xiong X. A novel Co3Mo3N self-embedded in porous carbon nanocomposite derived from Mo doped ZIF-67: An effective catalyst for electrochemical H2O2 sensing. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
|
42
|
Zhao L, Zhou J, Zhou J, Lin X, Huang K, Jiang X, Yu H, Xiong X. A microplasma converter-based spectrophotometry and visual colorimetry for nonchromatographic speciation analysis of H2S/SO2 or S2-/ SO32- in environmental water samples. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
43
|
Abstract
Milk is an essential source of protein for infants and young children. At the same time, cow's milk is also one of the most common allergenic foods causing food allergies in children. Recently, cow's milk allergy (CMA) has become a common public health issue worldwide. Modern food processing technologies have been developed to reduce the allergenicity of milk proteins and improve the quality of life of patients with CMA. In this review, we summarize the main allergens in cow's milk, and introduce the recent findings on CMA responses. Moreover, the reduced effects and underlying mechanisms of different food processing techniques (such as heating, high pressure, γ-ray irradiation, ultrasound irradiation, hydrolysis, glycosylation, etc.) on the allergenicity of cow's milk proteins, and the application of processed cow's milk in clinical studies, are discussed. In addition, we describe the changes of nutritional value in cow's milk treated by different food processing technologies. This review provides an in-depth understanding of the allergenicity reduction of cow's milk proteins by various food processing techniques.
Collapse
Affiliation(s)
- Jing Yang
- Chongqing Engineering Research Center for Processing & Storage of Distinct Agricultural Products, Chongqing Technology and Business University, Chongqing, China
- College of Modern Industry for Nutrition & Health, Chongqing Technology and Business University, Chongqing, China
| | - Hong Kuang
- Chongqing Engineering Research Center for Processing & Storage of Distinct Agricultural Products, Chongqing Technology and Business University, Chongqing, China
| | - Xiaoli Xiong
- Chongqing Engineering Research Center for Processing & Storage of Distinct Agricultural Products, Chongqing Technology and Business University, Chongqing, China
| | - Ning Li
- Chongqing Engineering Research Center for Processing & Storage of Distinct Agricultural Products, Chongqing Technology and Business University, Chongqing, China
| | - Jiajia Song
- College of Food Science, Southwest University, Chongqing, China
| |
Collapse
|
44
|
Zhu P, Xiong X, Chen C, Ran J. Association of aldehyde exposure with bone mineral density in the national health and nutrition examination survey (NHANES 2013-2014). J Endocrinol Invest 2022; 45:2085-2096. [PMID: 35788555 DOI: 10.1007/s40618-022-01840-4] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/10/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE The association between aldehyde exposure and bone health in humans remains unclear. This study was to evaluate the association of serum aldehydes with bone mineral density (BMD) and osteopenia/osteoporosis. METHODS We analyzed the US National Health and Nutrition Examination Survey cross-sectional data from 2013 to 2014. Weighted multivariate-adjusted linear regression and logistic regression models were used to assess the association between specific aldehydes and osteopenia/osteoporosis. Associations between aldehyde combinations and BMD were also evaluated using the restricted cubic spline (RCS) method. RESULTS Compared with men in the first tertile, those in the third tertile of propanaldehyde concentration were negatively associated with proximal femur and lumbar spine BMD. Significant inverse associations were observed between benzaldehyde exposure and trochanter BMD in women. Benzaldehyde increased the risk of osteopenia/osteoporosis 2.75-fold [95% confidence interval (CI) = 1.06, 7.11] in the highest tertile in women compared to the lowest tertile concentration. In males, the prevalence of total femur, femur neck, and trochanter osteopenia/osteoporosis was significantly higher in the highest versus the lowest tertile of propanaldehyde exposure, with odds ratios (ORs) of 6.84 (95% CI = 2.33, 20.04), 2.72 (95% CI = 1.18, 6.27), and 3.26 (95% CI = 1.25, 8.56), respectively. RCS regression also showed decreased BMD continuously with increasing serum mixed aldehyde levels. CONCLUSIONS Serum aldehyde concentrations were associated with low BMD and high osteopenia/osteoporosis risk in adults, with propanaldehyde and benzaldehyde being the most critical. Co-exposure to aldehyde combinations was negatively correlated with BMD.
Collapse
Affiliation(s)
- P Zhu
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China
| | - X Xiong
- Guangzhou Institute of Traumatic Surgery, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China
| | - C Chen
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China
| | - J Ran
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220, China.
| |
Collapse
|
45
|
Chen WX, Liu B, Zhou L, Xiong X, Fu J, Huang ZF, Tan T, Tang M, Wang J, Tang YP. De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability. Hum Genomics 2022; 16:52. [PMID: 36320054 PMCID: PMC9623983 DOI: 10.1186/s40246-022-00427-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 05/04/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is often accompanied by intellectual disability (ID). Despite extensive studies, however, the genetic basis for this comorbidity is still not clear. In this study, we tried to develop an analyzing pipeline for de novo mutations and possible pathways related to ID phenotype in ASD. Whole-exome sequencing (WES) was performed to screen de novo mutations and candidate genes in 79 ASD children together with their parents (trios). The de novo altering genes and relative pathways which were associated with ID phenotype were analyzed. The connection nodes (genes) of above pathways were selected, and the diagnostic value of these selected genes for ID phenotype in the study population was also evaluated. RESULTS We identified 89 de novo mutant genes, of which 34 genes were previously reported to be associated with ASD, including double hits in the EGF repeats of NOTCH1 gene (p.V999M and p.S1027L). Interestingly, of these 34 genes, 22 may directly affect intelligence quotient (IQ). Further analyses revealed that these IQ-related genes were enriched in protein synthesis, energy metabolism, and amino acid metabolism, and at least 9 genes (CACNA1A, ALG9, PALM2, MGAT4A, PCK2, PLEKHA1, PSME3, ADI1, and TLE3) were involved in all these three pathways. Seven patients who harbored these gene mutations showed a high prevalence of a low IQ score (< 70), a non-verbal language, and an early diagnostic age (< 4 years). Furthermore, our panel of these 9 genes reached a 10.2% diagnostic rate (5/49) in early diagnostic patients with a low IQ score and also reached a 10% diagnostic yield in those with both a low IQ score and non-verbal language (4/40). CONCLUSION We found some new genetic disposition for ASD accompanied with intellectual disability in this study. Our results may be helpful for etiologic research and early diagnoses of intellectual disability in ASD. Larger population studies and further mechanism studies are warranted.
Collapse
Affiliation(s)
- Wen-Xiong Chen
- grid.410737.60000 0000 8653 1072The Assessment and Intervention Center for Autistic Children, Department of Neurology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China
| | - Bin Liu
- grid.410737.60000 0000 8653 1072Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, 510623 China ,grid.258164.c0000 0004 1790 3548Department of Biobank, Shenzhen Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, 518102 Guangdong China
| | - Lijie Zhou
- grid.412719.8Department of Pediatric Rehabilitation, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 China
| | - Xiaoli Xiong
- grid.410737.60000 0000 8653 1072Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, 510623 China
| | - Jie Fu
- grid.410737.60000 0000 8653 1072Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, 510623 China
| | - Zhi-Fang Huang
- grid.410737.60000 0000 8653 1072The Assessment and Intervention Center for Autistic Children, Department of Neurology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China
| | - Ting Tan
- grid.410737.60000 0000 8653 1072Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, 510623 China
| | - Mingxi Tang
- grid.488387.8Department of Pathology, Affiliated Hospital of Southwest Medical University, Luzhou, 646000 Sichuan China
| | - Jun Wang
- grid.412719.8Department of Pediatric Rehabilitation, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 China
| | - Ya-Ping Tang
- grid.410737.60000 0000 8653 1072Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, 510623 China ,grid.412719.8Department of Pediatric Rehabilitation, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080 Guangdong China
| |
Collapse
|
46
|
Zhou J, Xia Y, Zou Z, Yang Q, Jiang X, Xiong X. Microplasma-enabled carbon dots composited with multi-walled carbon nanotubes for dopamine detection. Anal Chim Acta 2022; 1237:340631. [DOI: 10.1016/j.aca.2022.340631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/13/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022]
|
47
|
Yan Q, Hou R, Huang X, Zhang Y, He P, Zhang Y, Liu B, Wang Q, Rao H, Chen X, Zhao X, Niu X, Zhao J, Xiong X, Chen L. Shared IGHV1-69-encoded neutralizing antibodies contribute to the emergence of L452R substitution in SARS-CoV-2 variants. Emerg Microbes Infect 2022; 11:2749-2761. [PMID: 36288106 PMCID: PMC9662066 DOI: 10.1080/22221751.2022.2140611] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
SARS-CoV-2 variants continue to emerge facing established herd immunity. L452R, previously featured in the Delta variant, quickly emerged in Omicron subvariants, including BA.4/BA.5, implying a continued selection pressure on this residue. The underlying links between spike mutations and their selective pressures remain incompletely understood. Here, by analyzing 221 structurally characterized antibodies, we found that IGHV1-69-encoded antibodies preferentially contact L452 using germline-encoded hydrophobic residues at the tip of HCDR2 loop. Whereas somatic hypermutations or VDJ rearrangements are required to acquire L452-contacting hydrophobic residues for non-IGHV1-69 encoded antibodies. Antibody repertoire analysis revealed that IGHV1-69 L452-contacting antibody lineages are commonly induced among COVID-19 convalescents but non-IGHV1-69 encoded antibodies exhibit limited prevalence. In addition, we experimentally demonstrated that L452R renders most published IGHV1-69 antibodies ineffective. Furthermore, we found that IGHV1-69 L452-contacting antibodies are enriched in convalescents experienced Omicron BA.1 (without L452R) breakthrough infections but rarely found in Delta (with L452R) breakthrough infections. Taken together, these findings support that IGHV1-69 population antibodies contribute to selection pressure for L452 substitution. This study thus provides a better understanding of SARS-CoV-2 variant genesis and immune evasion.
Collapse
Affiliation(s)
- Qihong Yan
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ruitian Hou
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Science, Beijing, China
| | - Xiaohan Huang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Science, Beijing, China
| | - Yanjun Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ping He
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Science, Beijing, China
| | - Yudi Zhang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Science, Beijing, China
| | - Banghui Liu
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Qian Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haiyue Rao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xianying Chen
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinwei Zhao
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xuefeng Niu
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ling Chen
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
48
|
Yu X, Chen P, Yi W, Ruan W, Xiong X. Identification of cell senescence molecular subtypes in prediction of the prognosis and immunotherapy of hepatitis B virus-related hepatocellular carcinoma. Front Immunol 2022; 13:1029872. [PMID: 36275676 PMCID: PMC9582940 DOI: 10.3389/fimmu.2022.1029872] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 09/20/2022] [Indexed: 01/10/2023] Open
Abstract
Hepatitis B virus (HBV)-infected hepatocellular carcinoma (HCC) has a high incidence and fatality rate worldwide, being among the most prevalent cancers. The growing body of data indicating cellular senescence (CS) to be a critical factor in hepatocarcinogenesis. The predictive value of CS in HBV-related HCC and its role in the immune microenvironment are unknown. To determine the cellular senescence profile of HBV-related HCC and its role in shaping the immune microenvironment, this study employed a rigorous evaluation of multiple datasets encompassing 793 HBV-related HCC samples. Two novel distinct CS subtypes were first identified by nonnegative matrix factorization, and we found that the senescence-activated subgroup had the worst prognosis and correlated with cancer progression. C1 and C2 were identified as the senescence-suppressed and senescence-activated subgroups. The immune microenvironment indicated that C2 exhibited a relatively low immune status, higher tumor purity, and lower immune scores and estimated scores, while the C1 subgroup possessed a better prognosis. The CS score signature based on five genes (CENPA, EZH2, G6PD, HDAC1, and PRPF19) was established using univariate Cox regression and the lasso method. ICGC-LIRI and GSE14520 cohorts were used to validate the reliability of the CS scoring system. In addition, we examined the association between the risk score and hallmark pathways through gene set variation analysis and gene set enrichment analysis. The results revealed a high CS score to be associated with the activation of cell senescence-related pathways. The CS score and other clinical features were combined to generate a CS dynamic nomogram with a better predictive capacity for OS at 1, 2, and 3 years than other clinical parameters. Our study demonstrated that cellular senescence patterns play a non-negligible role in shaping the characteristics of the immune microenvironment and profoundly affecting tumor prognosis. The results of this study will help predict patient prognosis more accurately and may assist in development of personalized immunotherapy for HBV-related HCC patients.
Collapse
Affiliation(s)
- Xue Yu
- School of Medicine, Jianghan University, Wuhan, China
- Department of Integrated Chinese and Western Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
- *Correspondence: Xiaoli Xiong,
| | - Peng Chen
- Department of Respiratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
- *Correspondence: Xiaoli Xiong,
| | - Wei Yi
- Department of Integrated Chinese and Western Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Wen Ruan
- School of Medicine, Jianghan University, Wuhan, China
| | - Xiaoli Xiong
- Department of Integrated Chinese and Western Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
- *Correspondence: Xiaoli Xiong,
| |
Collapse
|
49
|
Xing Y, Tang X, Ling C, Zhang Y, He Z, Ran G, Yu H, Huang K, Zou Z, Xiong X. Three-dimensional Setaria viridis-like NiCoSe2 nanoneedles array: As an efficient electrochemical hydrazine sensor. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2022.129549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
|
50
|
He P, Liu B, Gao X, Yan Q, Pei R, Sun J, Chen Q, Hou R, Li Z, Zhang Y, Zhao J, Sun H, Feng B, Wang Q, Yi H, Hu P, Li P, Zhang Y, Chen Z, Niu X, Zhong X, Jin L, Liu X, Qu K, Ciazynska KA, Carter AP, Briggs JAG, Chen J, Liu J, Chen X, He J, Chen L, Xiong X. SARS-CoV-2 Delta and Omicron variants evade population antibody response by mutations in a single spike epitope. Nat Microbiol 2022; 7:1635-1649. [PMID: 36151403 PMCID: PMC9519457 DOI: 10.1038/s41564-022-01235-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/12/2022] [Indexed: 12/18/2022]
Abstract
Population antibody response is thought to be important in selection of virus variants. We report that SARS-CoV-2 infection elicits a population immune response that is mediated by a lineage of VH1-69 germline antibodies. A representative antibody R1-32 from this lineage was isolated. By cryo-EM, we show that it targets a semi-cryptic epitope in the spike receptor-binding domain. Binding to this non-ACE2 competing epitope results in spike destruction, thereby inhibiting virus entry. On the basis of epitope location, neutralization mechanism and analysis of antibody binding to spike variants, we propose that recurrent substitutions at 452 and 490 are associated with immune evasion of the identified population antibody response. These substitutions, including L452R (present in the Delta variant), disrupt interactions mediated by the VH1-69-specific hydrophobic HCDR2 to impair antibody-antigen association, enabling variants to escape. The first Omicron variants were sensitive to antibody R1-32 but subvariants that harbour L452R quickly emerged and spread. Our results provide insights into how SARS-CoV-2 variants emerge and evade host immune responses.
Collapse
Affiliation(s)
- Ping He
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Science, Beijing, China
| | - Banghui Liu
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xijie Gao
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | - Qihong Yan
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rongjuan Pei
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
| | - Jing Sun
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiuluan Chen
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | - Ruitian Hou
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Science, Beijing, China
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zimu Li
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yanjun Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hao Sun
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
| | - Bo Feng
- School of Biomedical Sciences, Huaqiao University, Quanzhou, China
| | - Qian Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haisu Yi
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Peiyu Hu
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Pingchao Li
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yudi Zhang
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Science, Beijing, China
| | - Zhilong Chen
- School of Biomedical Sciences, Huaqiao University, Quanzhou, China
- Xiamen United Institute of Respiratory Health, Xiamen, China
| | - Xuefeng Niu
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaolin Zhong
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | - Liang Jin
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China
| | | | - Kun Qu
- Infectious Diseases Translational Research Programme, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Katarzyna A Ciazynska
- Structural Studies Division, Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Andrew P Carter
- Structural Studies Division, Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - John A G Briggs
- Structural Studies Division, Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jizheng Chen
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China
| | - Jinsong Liu
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xinwen Chen
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
| | - Jun He
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China.
| | - Ling Chen
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China.
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health - Guangdong Laboratory), Guangzhou, China.
| |
Collapse
|