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Zhang R, Huang L, Zhang X, Yu Y, Liang T, Wang H, Zhang X, Hu D, Wang B, Wang Y, Jiang J, Yu X. Proteomics Platform Reveals Broad-Spectrum Nanobodies for SARS-CoV-2 Variant Neutralization. J Proteome Res 2024; 23:1559-1570. [PMID: 38603467 DOI: 10.1021/acs.jproteome.3c00569] [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: 04/13/2024]
Abstract
The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the emergence of different variants of concerns with immune evasion that have been prevalent over the past three years. Nanobodies, the functional variable regions of camelid heavy-chain-only antibodies, have garnered interest in developing neutralizing antibodies due to their smaller size, structural stability, ease of production, high affinity, and low immunogenicity, among other characteristics. In this work, we describe an integrated proteomics platform for the high-throughput screening of nanobodies against different SARS-CoV-2 spike variants. To demonstrate this platform, we immunized a camel with subunit 1 (S1) of the wild-type spike protein and constructed a nanobody phage library. The binding and neutralizing activities of the nanobodies against 72 spike variants were then measured, resulting in the identification of two nanobodies (C-282 and C-39) with broad neutralizing activity against six non-Omicron variants (D614G, Alpha, Beta, Gamma, Delta, Kappa) and five Omicron variants (BA.1-5). Their neutralizing capability was validated using in vitro pseudovirus-based neutralization assays. All these results demonstrate the utility of our proteomics platform to identify new nanobodies with broad neutralizing capability and to develop a treatment for patients with SARS-CoV-2 variant infection in the future.
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Affiliation(s)
- Ran Zhang
- School of Basic Medicine Sciences, Anhui Medical University, Hefei, Anhui 230031, PR China
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Lan Huang
- Changping Laboratory, Beijing 102206, China
| | - Xiaohan Zhang
- School of Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | | | - Te Liang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Hongye Wang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xiaomei Zhang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Di Hu
- ProteomicsEra Medical Co., Ltd., Beijing 102206, China
| | - Bingwei Wang
- School of Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | | | - Junyi Jiang
- Translational Medicine Technology Platform, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xiaobo Yu
- School of Basic Medicine Sciences, Anhui Medical University, Hefei, Anhui 230031, PR China
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
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Liang T, Chen H, Liu L, Zheng Y, Ma Z, Min L, Zhang J, Wu L, Ma J, Liu Z, Zhang Q, Luo K, Hu D, Ji T, Yu X. Antibody Profiling of Pan-Cancer Viral Proteome Reveals Biomarkers for Nasopharyngeal Carcinoma Diagnosis and Prognosis. Mol Cell Proteomics 2024; 23:100729. [PMID: 38309569 PMCID: PMC10933552 DOI: 10.1016/j.mcpro.2024.100729] [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: 08/07/2023] [Revised: 11/27/2023] [Accepted: 01/29/2024] [Indexed: 02/05/2024] Open
Abstract
Diagnosing, predicting disease outcome, and identifying effective treatment targets for virus-related cancers are lacking. Protein biomarkers have the potential to bridge the gap between prevention and treatment for these types of cancers. While it has been shown that certain antibodies against EBV proteins could be used to detect nasopharyngeal carcinoma (NPC), antibodies targeting are solely a tiny part of the about 80 proteins expressed by the EBV genome. Furthermore, it remains unclear what role other viruses play in NPC since many diseases are the result of multiple viral infections. For the first time, this study measured both IgA and IgG antibody responses against 646 viral proteins from 23 viruses in patients with NPC and control subjects using nucleic acid programmable protein arrays. Candidate seromarkers were then validated by ELISA using 1665 serum samples from three clinical cohorts. We demonstrated that the levels of five candidate seromarkers (EBV-BLLF3-IgA, EBV-BLRF2-IgA, EBV-BLRF2-IgG, EBV-BDLF1-IgA, EBV-BDLF1-IgG) in NPC patients were significantly elevated than controls. Additional examination revealed that NPC could be successfully diagnosed by combining the clinical biomarker EBNA1-IgA with the five anti-EBV antibodies. The sensitivity of the six-antibody signature at 95% specificity to diagnose NPC was comparable to the current clinically-approved biomarker combination, VCA-IgA, and EBNA1-IgA. However, the recombinant antigens of the five antibodies are easier to produce and standardize compared to the native viral VCA proteins. This suggests the potential replacement of the traditional VCA-IgA assay with the 5-antibodies combination to screen and diagnose NPC. Additionally, we investigated the prognostic significance of these seromarkers titers in NPC. We showed that NPC patients with elevated BLLF3-IgA and BDLF1-IgA titers in their serum exhibited significantly poorer disease-free survival, suggesting the potential of these two seromarkers as prognostic indicators of NPC. These findings will help develop serological tests to detect and treat NPC in the future.
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Affiliation(s)
- Te Liang
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
| | - Hao Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Lei Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Yongqiang Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhaoen Ma
- Otolaryngological department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ling Min
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Jiahui Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Lianfu Wu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Jie Ma
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Zexian Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Qingfeng Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Kai Luo
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Di Hu
- ProteomicsEra Medical Co., Ltd., Beijing, China
| | - Tianxing Ji
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
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Wu M, Liu J, Wang X, Zhang X, Liang T, Chen L, Huang T, Li Y, Zheng C, Yang Y, Wang J, Yu X, Guo L, Yang J, Ren L. Profiling of SARS-CoV-2 neutralizing antibody-associated antigenic peptides signature using proteome microarray. MedComm (Beijing) 2023; 4:e361. [PMID: 37667740 PMCID: PMC10475218 DOI: 10.1002/mco2.361] [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: 11/24/2022] [Revised: 08/02/2023] [Accepted: 08/06/2023] [Indexed: 09/06/2023] Open
Abstract
The profile of antibodies against antigenic epitopes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during neutralizing antibody (NAb) decay has not been clarified. Using a SARS-CoV-2 proteome microarray that contained viral antigenic peptides, we analyzed the characteristics of the humoral response in patients with coronavirus disease 19 (COVID-19) in a longitudinal study. A total of 89 patients were recruited, and 226 plasma samples were serially collected in 2020. In the antigenic peptide microarray, the level of immunoglobulin G (IgG) antibodies against peptides within the S2 subunit (S-82) and a conserved gene region in variants of interest, open reading frame protein 10 (ORF10-3), were closely associated with the presence of SARS-CoV-2 NAbs. In an independent evaluation cohort of 232 plasma samples collected from 116 COVID-19 cases in 2020, S82-IgG titers were higher in NAbs-positive samples (p = 0.002) than in NAbs-negative samples using enzyme-linked immunosorbent assay. We further collected 66 plasma samples from another cohort infected by Omicron BA.1 virus in 2022. Compared with the samples with lower S82-IgG titers, NAb titers were significantly higher in the samples with higher S82-IgG titers (p = 0.04). Our findings provide insights into the understanding of the decay-associated signatures of SARS-CoV-2 NAbs.
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Affiliation(s)
- Mingkun Wu
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Jiangfeng Liu
- State Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Xinming Wang
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research CenterNational Center for Protein Sciences‐Beijing (PHOENIX Center)Beijing Institute of LifeomicsBeijingChina
| | - Te Liang
- State Key Laboratory of Proteomics, Beijing Proteome Research CenterNational Center for Protein Sciences‐Beijing (PHOENIX Center)Beijing Institute of LifeomicsBeijingChina
| | - Lan Chen
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Tingxuan Huang
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Yanan Li
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Chang Zheng
- State Key Laboratory of Proteomics, Beijing Proteome Research CenterNational Center for Protein Sciences‐Beijing (PHOENIX Center)Beijing Institute of LifeomicsBeijingChina
| | - Yehong Yang
- State Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Jianwei Wang
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- Key Laboratory of Respiratory Disease PathogenomicsChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research CenterNational Center for Protein Sciences‐Beijing (PHOENIX Center)Beijing Institute of LifeomicsBeijingChina
| | - Li Guo
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- Key Laboratory of Respiratory Disease PathogenomicsChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Juntao Yang
- State Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Lili Ren
- National Health Commission Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux LaboratoryInstitute of Pathogen BiologyChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- Key Laboratory of Respiratory Disease PathogenomicsChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Chen KT, Tesfay R, Koran MEI, Ouyang J, Shams S, Young CB, Davidzon G, Liang T, Khalighi M, Mormino E, Zaharchuk G. Generative Adversarial Network-Enhanced Ultra-Low-Dose [ 18F]-PI-2620 τ PET/MRI in Aging and Neurodegenerative Populations. AJNR Am J Neuroradiol 2023; 44:1012-1019. [PMID: 37591771 PMCID: PMC10494955 DOI: 10.3174/ajnr.a7961] [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: 11/03/2022] [Accepted: 07/11/2023] [Indexed: 08/19/2023]
Abstract
BACKGROUND AND PURPOSE With the utility of hybrid τ PET/MR imaging in the screening, diagnosis, and follow-up of individuals with neurodegenerative diseases, we investigated whether deep learning techniques can be used in enhancing ultra-low-dose [18F]-PI-2620 τ PET/MR images to produce diagnostic-quality images. MATERIALS AND METHODS Forty-four healthy aging participants and patients with neurodegenerative diseases were recruited for this study, and [18F]-PI-2620 τ PET/MR data were simultaneously acquired. A generative adversarial network was trained to enhance ultra-low-dose τ images, which were reconstructed from a random sampling of 1/20 (approximately 5% of original count level) of the original full-dose data. MR images were also used as additional input channels. Region-based analyses as well as a reader study were conducted to assess the image quality of the enhanced images compared with their full-dose counterparts. RESULTS The enhanced ultra-low-dose τ images showed apparent noise reduction compared with the ultra-low-dose images. The regional standard uptake value ratios showed that while, in general, there is an underestimation for both image types, especially in regions with higher uptake, when focusing on the healthy-but-amyloid-positive population (with relatively lower τ uptake), this bias was reduced in the enhanced ultra-low-dose images. The radiotracer uptake patterns in the enhanced images were read accurately compared with their full-dose counterparts. CONCLUSIONS The clinical readings of deep learning-enhanced ultra-low-dose τ PET images were consistent with those performed with full-dose imaging, suggesting the possibility of reducing the dose and enabling more frequent examinations for dementia monitoring.
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Affiliation(s)
- K T Chen
- From the Department of Biomedical Engineering (K.T.C.), National Taiwan University, Taipei, Taiwan
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
| | - R Tesfay
- Meharry Medical College (R.T.), Nashville, Tennessee
| | - M E I Koran
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
| | - J Ouyang
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
| | - S Shams
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
| | - C B Young
- Department of Neurology and Neurological Sciences (C.B.Y., E.M.), Stanford University, Stanford, California
| | - G Davidzon
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
| | - T Liang
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
| | - M Khalighi
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
| | - E Mormino
- Department of Neurology and Neurological Sciences (C.B.Y., E.M.), Stanford University, Stanford, California
| | - G Zaharchuk
- Department of Radiology (K.T.C., M.E.I.K., J.O., S.S., G.D., T.L., M.K., G.Z.), Stanford University, Stanford, California
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Liang T, Dai W, Zhang Z, Bempah G, Shi L, Lu C. Altitudinal gradients and body size variation among Chinese lizards in different terrains. J Zool (1987) 2023. [DOI: 10.1111/jzo.13055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Affiliation(s)
- T. Liang
- Wildlife Conservation and Utilization Nanjing Forestry University Nanjing Jiangsu China
| | - W. Dai
- Wildlife Conservation and Utilization Nanjing Forestry University Nanjing Jiangsu China
| | - Z. Zhang
- Wildlife Conservation and Utilization Nanjing Forestry University Nanjing Jiangsu China
| | - G. Bempah
- Wildlife Conservation and Utilization Nanjing Forestry University Nanjing Jiangsu China
| | - L. Shi
- College of Life Sciences Xinjiang Agricultural University Urumqi Xinjiang China
| | - C. Lu
- Wildlife Conservation and Utilization Nanjing Forestry University Nanjing Jiangsu China
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Cheng L, Wang D, Wang Z, Li H, Wang G, Wu Z, Xu M, Yan S, Zhan H, Wang H, Zhang X, Liang T, Wei C, Zhang F, Zheng W, Yu X, Li Y. Proteomics Landscape Mapping of Organ-Resolved Behçet's Disease Using In-Depth Plasma Proteomics for Identifying Hyaluronic Binding Protein 2 Expression Associated With Vascular Involvement. Arthritis Rheumatol 2023; 75:424-437. [PMID: 36122191 DOI: 10.1002/art.42348] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 08/19/2022] [Accepted: 09/07/2022] [Indexed: 01/14/2023]
Abstract
OBJECTIVE This study was undertaken to elucidate the pathogenesis and heterogeneity of Behçet's disease (BD) involving different organs using in-depth proteomics to identify the biomarkers for clinical assessment and treatment of patients with BD. METHODS We measured the expression levels of proteins in plasma samples from 98 patients with BD and from 31 healthy controls using our in-depth proteomics platform with a data-independent acquisition mass spectrometer and antibody microarray. We performed bioinformatics analyses of the biologic processes and signaling pathways that were changed in the BD group and constructed a proteomics landscape of organ-resolved BD pathogenesis. We then validated the biomarkers of disease severity and the vascular subset in an independent cohort of 108 BD patients and 29 healthy controls using an enzyme-linked immunosorbent assay. RESULTS The BD group had 220 differentially expressed proteins, which discriminated between BD patients (88.6%) and healthy controls (95.5%). The bioinformatics analyses revealed different biologic processes associated with BD pathogeneses, including complement activation, wound healing, angiogenesis, and leukocyte-mediated immunity. Furthermore, the constructed proteomics landscape of organ-resolved BD identified proteomics features of BD associated with different organs and protein targets that could be used for the development of therapeutic treatment. Hyaluronic binding protein 2, tenascin, and serpin A3 were validated as potential biomarkers for the clinical assessment of vascular BD and treatment targets. CONCLUSION Our results provide valuable insight into the pathogenesis of organ-resolved BD in terms of proteomics characteristics and potential biomarkers for clinical assessment and potential therapies for vascular BD.
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Affiliation(s)
- Linlin Cheng
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Dongxue Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Zhimian Wang
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Haolong Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Guibin Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Ziyan Wu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Meng Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Songxin Yan
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Haoting Zhan
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Hongye Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Te Liang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Chundi Wei
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Fengchun Zhang
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Wenjie Zheng
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Yongzhe Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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Cao J, Yang Y, Chai J, Wu P, Liang T, Xu Z, Qin Y. Atomistic insights into migration mechanism of graphene-based membranes on soil mineral phases. Chemosphere 2023; 313:137617. [PMID: 36563727 DOI: 10.1016/j.chemosphere.2022.137617] [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: 10/21/2022] [Revised: 12/15/2022] [Accepted: 12/18/2022] [Indexed: 06/17/2023]
Abstract
Graphene-based membranes (GBM) will migrate in the soil and enter the groundwater system or plant roots, which will eventually pose potential risks to human beings. The migration mechanism of GBM depends on the interface behavior of complex soil components. Herein, we use molecular dynamics (MD) simulations to probe the interface behavior between GBM and three type minerals (quartz, calcite and kaolinite). Based on the investigation of binding energy, maximum pulling force and barrier energy, the order of the difficulty of GBM adsorption and desorption on the three minerals from small to large is roughly: quartz, calcite and kaolinite respectively. The graphene-oxide (GO), improves the binding energy and energy barrier, making GBM difficult to migrate in soil. Remarkably, a larger GBM sheet and high velocity external load improve GBM migration in soil to a certain extent. These investigations give the dynamic information on the GBM/mineral interaction and provide nanoscale insights into the migration mechanisms of GBM in soil.
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Affiliation(s)
- Jing Cao
- State Key Laboratory of Eco-hydrauls in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, China
| | - Yi Yang
- School of Civil Engineering, Xijing University, Xi'an, 710123, China; Shaanxi Key Laboratory of Safety and Durability of Concrete Structures, Xi'an, 710123, China.
| | - Junrui Chai
- State Key Laboratory of Eco-hydrauls in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, China
| | - Puwei Wu
- School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, 750021, China
| | - Te Liang
- State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Zengguang Xu
- State Key Laboratory of Eco-hydrauls in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, China
| | - Yuan Qin
- State Key Laboratory of Eco-hydrauls in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, China
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Zhao H, Xian X, Liang T, Wan F, Shi J, Liu W. Constructing an Ensemble Model and Niche Comparison for the Management Planning of Eucalyptus Longhorned Borer Phoracantha semipunctata under Climate Change. Insects 2023; 14:84. [PMID: 36662011 PMCID: PMC9866156 DOI: 10.3390/insects14010084] [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] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 06/17/2023]
Abstract
Phoracantha semipunctata is a destructive invasive alien forest pest worldwide. It primarily damages the eucalyptus via adults, affecting almost all parts of the eucalyptus. Its larvae develop in almost all major tissues of the plant. Phoracantha semipunctata spreads both via the migration of adults and global trade in intercontinental translocation. Currently, this pest has spread to six continents worldwide, except Antarctica, resulting in substantial economic losses. Based on global occurrence data and environmental variables, the potential global geographical distribution of P. semipunctata was predicted using an ensemble model. The centroid shift, overlap, unfilling, and expansion scheme were selected to assess niche dynamics during the global invasion process. Our results indicated that the AUC and TSS values of the ensemble model were 0.993 and 0.917, respectively, indicating the high prediction accuracy of the model. The distribution pattern of P. semipunctata is primarily attributed to the temperature seasonality (bio4), mean temperature of the warmest quarter (bio10), and human influence index variables. The potential geographical distribution of P. semipunctata is primarily in western and southwestern Asia, western Europe, western and southern North America, southern South America, southern Africa, and eastern and southern Oceania. The potential geographical distribution of P. semipunctata showed a downward trend in the 2030s and the 2050s. The distribution centroid showed a general tendency to shift southward from the near-current to future climate. Phoracantha semipunctata has largely conserved its niche during the global invasion process. More attention should be paid to the early warning, prevention, and control of P. semipunctata in the countries and regions where it has not yet become invasive.
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Affiliation(s)
- Haoxiang Zhao
- The College of Forestry, Beijing Forestry University, Beijing 100193, China
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China
| | - Xiaoqing Xian
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China
| | - Te Liang
- The College of Forestry, Beijing Forestry University, Beijing 100193, China
| | - Fanghao Wan
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China
| | - Juan Shi
- The College of Forestry, Beijing Forestry University, Beijing 100193, China
| | - Wanxue Liu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, China
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9
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Liang T, Qi XW, Chen LZ, Gao HK, Liu XY, Yu SD, Zhang HP. [Study on efficacy, recurrence rate and related risk factors between ablation index and contact force guided radiofrequency ablation of paroxysmal atrial fibrillation in elderly patients]. Zhonghua Yi Xue Za Zhi 2022; 102:3875-3880. [PMID: 36540926 DOI: 10.3760/cma.j.cn112137-20220909-01913] [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] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To compare the efficacy, safety and recurrence rate between ablation index (AI) and contact force (CF) guided radiofrequency ablation of paroxysmal atrial fibrillation in elderly patients. Methods: Elderly patients (age ≥60 years) with paroxysmal atrial fibrillation who received radiofrequency ablation for the first time at Department of Cardiology, Beijing Friendship Hospital from April 2018 to April 2019 were enrolled. Patients were divided into 2 groups: AI-group (n=40) and CF group (n=37) depending on their ablation methods. Follow-up was performed until 1 year post the procedure, and efficacy related indexes like first-pass pulmonary vein isolation (PVI) rate, ablation duration, operation duration and major complications were compared between 2 groups. The recurrence rates between 2 groups and related risk factors after radiofrequency ablation were analyzed. Results: A total of 77 patients [mean age (68.5±6.4) years, 40 were male] were enrolled at last. In AI guided patients, frequency of first-pass PVI rate was higher [52.5%(21 cases) vs 29.7%(3 cases), P=0.011] with a shorter ablation duration [(24.5±1.7) min vs (33.7±2.2) min, P<0.001] and operation duration [(136.6±6.1) min vs (139.7±7.4) min, P=0.048] compared with CF guided group. At 1 year follow-up, AI group showed an amendatory recurrence rate in Kaplan-Meier analysis (22.5% vs 40.5%,log-rank P=0.048). Multivariate Cox regression analysis showed that CF guided ablation (HR=3.272,95%CI:1.319-8.114,P=0.011), enlarged anteroposterior diameter of the left atrium (HR=4.233,95%CI:1.511-11.862,P=0.006) and complicated with coronary heart disease (HR=4.829,95%CI:1.399-16.666,P=0.013) were independent risk factors for recurrence of atrial fibrillation in elderly patients. Conclusions: Compared with CF guided ablation, radiofrequency ablation of paroxysmal atrial fibrillation in elderly patients guided by AI showed a higher first-pass PVI rate, shorter procedure duration of both ablation time and total operation time, meanwhile a lower recurrence rate. Further analysis revealed that different ablation alternation (AI or CF), enlarged anteroposterior diameter of left atrium, and complicated with coronary heart disease are independent risk factors for recurrence after radiofrequency ablation of atrial fibrillation in elderly patients.
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Affiliation(s)
- T Liang
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - X W Qi
- Department of Cardiology, People's Hospital of Liaocheng, Liaocheng, Liaocheng 252000, China
| | - L Z Chen
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - H K Gao
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - X Y Liu
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - S D Yu
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - H P Zhang
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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10
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Li J, Liang T, Hei A, Wang X, Li H, Yu X, Zhao R, Gao P, Fang C, Zhou J, Li M, He E, Skog S. Novel neutralizing chicken IgY antibodies targeting 17 potent conserved peptides identified by SARS-CoV-2 proteome microarray, and future prospects. Front Immunol 2022; 13:1074077. [PMID: 36618358 PMCID: PMC9815496 DOI: 10.3389/fimmu.2022.1074077] [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: 10/19/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction An approach toward novel neutralizing IgY polyclonal antibodies (N-IgY-pAb) against SARS-CoV-2 S-ECD was developed. Material and methods The novel N-IgY-pAb and its intranasal spray response against the wild type ("'WH-Human 1") SARS-CoV-2 virus, variants of Delta or Omicron were up to 98%. Unique virus peptides binding to N-IgY-pAb were screened by a SARS-CoV-2 proteome microarray. Results Seventeen mutation-free peptides with a Z-score > 3.0 were identified as potent targets from a total of 966 peptides. The new findings show that one is in the RBM domain (461LKPFERDISTEIYQA475 ), two are in the NTD domain (21RTQLPPAYTNSFTRG35, 291CALDPLSETKCTLKS305) four are in the C1/2-terminal (561PFQQFGRDIADTTDA575,571DTTDAVRDPQTLEIL585,581TLEILDITPCSFGGV595, 661ECDIPIGAGICASYQ675 ), three are in the S1/S2 border (741YICGDSTECSNLLLQ755, 811KPSKRSFIEDLLFNK825, 821LLFNKVTLADAGFIK835) one target is in HR2 (1161SPDVDLGDISGINAS1175) and one is in HR2-TM (1201QELGKYEQYIKWPWY1215). Moreover, five potential peptides were in the NSP domain: nsp3-55 (1361SNEKQEILGTVSWNL1375), nsp14-50 (614HHANEYRLYLDAYNM642, ORF10-3 (21MNSRNYIAQVDVVNFNLT38, ORF7a-1(1MKIILFLALITLATC15) and ORF7a-12 (1116TLCFTLKRKTE121). Discussion and conclusion We concluded that the N-IgY-pAb could effectively neutralize the SARS-CoV-2. The new findings of seventeen potent conserved peptides are extremely important for developing new vaccines and "cocktails" of neutralizing Abs for efficient treatments for patients infected with SARS-CoV-2.
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Affiliation(s)
- Jin Li
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Te Liang
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
| | - Ailian Hei
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Xiangbin Wang
- SciProtech Co., Ltd, Beijing Changping Science Park, Beijing, China
| | - Huijun Li
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Centre, National Centre for Protein Sciences-Beijing (PHOENIX Centre), Beijing Institute of LifeOmics, Beijing, China
| | - Rui Zhao
- SciProtech Co., Ltd, Beijing Changping Science Park, Beijing, China
| | - Peng Gao
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Cong Fang
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Ji Zhou
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Maogang Li
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Ellen He
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China
| | - Sven Skog
- Department of Medicine, Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, China,*Correspondence: Sven Skog,
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Wang B, Hu Z, Zhao L, Mu S, Dou Z, Wang P, Jin N, Lu X, Xu X, Liang T, Duan Y, Xiong Y. Regulation of CB1R/AMPK/PGC-1α signal pathway on the changes of mitochondria in heart and cardiomyocytes of mice with chronic intermittent hypoxia of different severity. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.731] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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12
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Du SH, Li YX, Liu YJ, Liang T, Lai WJ, Liu Y, Deng XL. [Correlation analysis between lactic, procalcitonin and disease severity in patients with imported malaria from Africa]. Zhonghua Yi Xue Za Zhi 2022; 102:2933-2938. [PMID: 36207868 DOI: 10.3760/cma.j.cn112137-20220417-00824] [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] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To explore the clinical characteristics, the correlation between lactate, procalcitonin and disease severity of imported malaria from Africa. Methods: The clinical data of 186 patients with imported malaria were collected from January 1, 2018 to April 30, 2021 in the Guangzhou Eighth People's Hospital, Guangzhou Medical University. The general conditions, clinical symptoms, laboratory tests, treatment, and prognosis of the patients were analyzed retrospectively. Receiver operating characteristic (ROC) curves were drawn to evaluate the value of relevant indicators in predicting severe malaria. Results: A total of 186 patients were divided into severe cases (n=48) and non-severe cases (n=138) in this study, of which the mean age was (38.3±10.3) years, 169(90.9%) cases were male, 17(9.1%) cases were female. The main infection species was Plasmodium falciparum, in a total of 166 cases (89.2%). The severe cases were all falciparum malarias. Compared with the non-severe group, the lactic, procalcitonin, white blood cell count and neutrophil count of the severe group were all increased, the differences were all statistically significant (all P<0.01); the percentage of monocytes, red blood cell count, hemoglobin, hematocrit and platelet count were all decreased, the difference were all statistically significant (all P<0.01). The areas under the ROC curves (AUC)(95%CI) of lactate, procalcitonin, red blood cell count, hemoglobin, hematocrit and platelet count for predicting severe malaria was 0.753(0.663-0.844), 0.755(0.670-0.841), 0.782(0.700-0.864), 0.738(0.652-0.823), 0.760(0.676-0.844), 0.778(0.699-0.857), respectively (all P<0.01). When the Youden indexes were at their maximum, the best cut-off value of lactic was 2.29 mmol/L, with sensitivity in predicting of severe malaria was 56.3%, and the specificity was 93.5%; the best cut-off value of procalcitonin was 2.12 μg/L, with sensitivity in predicting of severe malaria was 77.1%, and the specificity was 68.1%. The fatality rate of severe malaria was 4.2% (2/48). Conclusions: Anemia and thrombocytopenia are common indicators for predicting the severity of malaria. Lactic and procalcitonin also have higher predictive value for severe malaria, which could help to identify severe malaria as early as possible, improve the cure rate and reduce the risk of death.
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Affiliation(s)
- S H Du
- Intensive Care Unit, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510440, China
| | - Y X Li
- Intensive Care Unit, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510440, China
| | - Y J Liu
- Intensive Care Unit, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510440, China
| | - T Liang
- Intensive Care Unit, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510440, China
| | - W J Lai
- Intensive Care Unit, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510440, China
| | - Y Liu
- Intensive Care Unit, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510440, China
| | - X L Deng
- Intensive Care Unit, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510440, China
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13
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Bai X, Chen Y, Zhang X, Zhang F, Liang X, Zhang C, Wang X, Lu B, Yu S, Liang T. 712P CAPT: A multicenter randomized controlled trial of perioperative versus postoperative camrelizumab plus apatinib for resectable hepatocellular carcinoma. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.836] [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: 11/29/2022] Open
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Zhang J, Teng F, Zhang X, Wang H, Liang T, Guo S, Yu X. Down‐regulation of SARS‐CoV‐2 neutralizing antibodies in vaccinated smokers. MedComm (Beijing) 2022; 3:e166. [PMID: 35978853 PMCID: PMC9374305 DOI: 10.1002/mco2.166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 07/21/2022] [Accepted: 07/22/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Jiahui Zhang
- State Key Laboratory of Proteomics Beijing Proteome Research Center National Center for Protein Sciences‐Beijing (PHOENIX Center) Beijing Institute of Lifeomics Beijing China
| | - Fei Teng
- Emergency Medicine Clinical Research Center Beijing Chao‐Yang Hospital Capital Medical University and Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation Beijing China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics Beijing Proteome Research Center National Center for Protein Sciences‐Beijing (PHOENIX Center) Beijing Institute of Lifeomics Beijing China
| | - Hongye Wang
- State Key Laboratory of Proteomics Beijing Proteome Research Center National Center for Protein Sciences‐Beijing (PHOENIX Center) Beijing Institute of Lifeomics Beijing China
| | - Te Liang
- State Key Laboratory of Proteomics Beijing Proteome Research Center National Center for Protein Sciences‐Beijing (PHOENIX Center) Beijing Institute of Lifeomics Beijing China
| | - Shubin Guo
- Emergency Medicine Clinical Research Center Beijing Chao‐Yang Hospital Capital Medical University and Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation Beijing China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics Beijing Proteome Research Center National Center for Protein Sciences‐Beijing (PHOENIX Center) Beijing Institute of Lifeomics Beijing China
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15
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Yang L, Liang T, Pierson LM, Wang H, Fletcher JK, Wang S, Bao D, Zhang L, Huang Z, Zheng W, Zhang X, Park H, Li Y, Robinson JE, Feehan AK, Lyon CJ, Cao J, Morici LA, Li C, Roy CJ, Yu X, Hu T. SARS-CoV-2 Epitopes following Infection and Vaccination Overlap Known Neutralizing Antibody Sites. Research (Wash D C) 2022; 2022:9769803. [PMID: 35928300 PMCID: PMC9297724 DOI: 10.34133/2022/9769803] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 05/27/2022] [Indexed: 11/06/2022]
Abstract
Identification of epitopes targeted following virus infection or vaccination can guide vaccine design and development of therapeutic interventions targeting functional sites, but can be laborious. Herein, we employed peptide microarrays to map linear peptide epitopes (LPEs) recognized following SARS-CoV-2 infection and vaccination. LPEs detected by nonhuman primate (NHP) and patient IgMs after SARS-CoV-2 infection extensively overlapped, localized to functionally important virus regions, and aligned with reported neutralizing antibody binding sites. Similar LPE overlap occurred after infection and vaccination, with LPE clusters specific to each stimulus, where strong and conserved LPEs mapping to sites known or likely to inhibit spike protein function. Vaccine-specific LPEs tended to map to sites known or likely to be affected by structural changes induced by the proline substitutions in the mRNA vaccine's S protein. Mapping LPEs to regions of known functional importance in this manner may accelerate vaccine evaluation and discovery of targets for site-specific therapeutic interventions.
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Affiliation(s)
- Li Yang
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Te Liang
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
| | - Lane M. Pierson
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Hongye Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Jesse K. Fletcher
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Shu Wang
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Duran Bao
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Lili Zhang
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Zhen Huang
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Wenshu Zheng
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Heewon Park
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Yuwen Li
- Hayward Genetics Center, Department of Pediatrics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - James E. Robinson
- Department of Pediatrics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Amy K. Feehan
- Infectious Disease Department, Ochsner Clinic Foundation, New Orleans, LA 70121, USA
| | - Christopher J. Lyon
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Jing Cao
- University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Lisa A. Morici
- Department of Microbiology & Immunology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Chenzhong Li
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Chad J. Roy
- Department of Microbiology & Immunology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Division of Microbiology, Tulane National Primate Research Center, 18703 Three Rivers Road, Covington, LA 70433, USA
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Tony Hu
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
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Neshatian L, Lam JP, Gurland BH, Liang T, Becker L, Sheth VR. MRI biomarker of muscle composition is associated with severity of pelvic organ prolapse. Tech Coloproctol 2022; 26:725-733. [PMID: 35727428 DOI: 10.1007/s10151-022-02651-8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 05/29/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND The pathophysiology of pelvic organ prolapse is largely unknown. We hypothesized that reduced muscle mass on magnetic resonance defecography (MRD) is associated with increased pelvic floor laxity. The aim of this study was to compare the psoas and puborectalis muscle mass composition and cross-sectional area among patients with or without pelvic laxity. METHODS An observational retrospective study was conducted on women > age 18 years old who had undergone MRD for pelvic floor complaints from January 2020 to December 2020 at Stanford Pelvic Health Center. Pelvic floor laxity, pelvic organ descent, and rectal prolapse were characterized by standard measurements on MRD and compared to the psoas (L4 level) and puborectalis muscle index (cross-sectional area adjusted by height) and relative fat fraction, quantified by utilizing a 2-point Dixon technique. Regression analysis was used to quantify the association between muscle characteristics and pelvic organ measurements. RESULTS The psoas fat fraction was significantly elevated in patients with abnormally increased resting and strain H and M lines (p < 0.05) and increased with rising grades of Oxford rectal prolapse (p = 0.0001), uterovaginal descent (p = 0.001) and bladder descent (p = 0.0005). In multivariate regression analysis, adjusted for age and body mass index, the psoas fat fraction (not muscle index) was an independent risk factor for abnormal strain H and M line; odds ratio (95% confidence interval) of 17.8 (2-155.4) and 18.5 (1.3-258.3) respectively, and rising Oxford grade of rectal prolapse 153.9 (4.4-5383) and bladder descent 12.4 (1.5-106). Puborectalis fat fraction was increased by rising grades of Oxford rectal prolapse (p = 0.0002). CONCLUSIONS Severity of pelvic organ prolapse appears to be associated with increasing psoas muscle fat fraction, a biomarker for reduced skeletal muscle mass. Future prospective research is needed to determine if sarcopenia may predict postsurgical outcomes after pelvic organ prolapse repair.
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Affiliation(s)
- L Neshatian
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, CA, Stanford, USA.
| | - J P Lam
- American Radiology Associates, Dallas, TX, USA
| | - B H Gurland
- Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - T Liang
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - L Becker
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, CA, Stanford, USA
| | - V R Sheth
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
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Pierson LM, Yang L, Liang T, Fletcher J, Lyon C, Yu X, Hu T. Epitope Profiling Reveals the Antibody Immune Response Difference Between COVID‐19 Infected and Vaccinated. FASEB J 2022. [PMCID: PMC9347619 DOI: 10.1096/fasebj.2022.36.s1.l7467] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Antibodies play an important part in combating SARS‐CoV‐2 infection whether generated by the infection or vaccination. However, the many epitopes generated by infection have not been fully investigated with only a few epitopes known and these being mostly limited to the S protein’s receptor binding domain (RBD) and the N‐terminal domain which limits vaccine and drug design 1‐4. The difference between epitopes generated by infection and vaccination has also not been studied. To address this, we employed a SARS‐CoV‐2 proteome microarray to screen for linear epitopes recognized by antibodies present in COVID‐19 patients and individuals vaccinated with the Pfizer‐BioNTech mRNA COVID‐19 Vaccine. The proteome microarray consisted of S, N, and E proteins, as well as spotting peptides that were 15 amino acids in length with overlaps of 5‐amino acids, covering the entire SARS‐CoV‐2 proteome (MN908947.3) (Figure 1). Blood samples were incubated onto the arrays followed by an incubation of fluorescent secondary anti‐human antibodies. Fluorescent intensity data generated and normalized using the Z‐score method and then further analyzed for significance by parametric one‐way ANOVA with Dunnett's post hoc test (COVID‐19 cohort) and repeated measure ANOVAs with Dunnett's post hoc tests (vaccinated cohort). The full‐length S protein showed a significant increase in COVID‐19 patients at around 20‐23 days after symptom onset and vaccinated individuals over all time points in both IgM and IgG antibodies (Figure 2A). Linear mapping of the IgM epitopes revealed a degree of overlap between infected and vaccinated individuals (22.2%; 6/27 total) with both having epitopes in the RBD and fusion peptide (FP) (Figure 2B). Structural mapping on 3D models of the S protein showed that all epitopes where on the surface of the protein and that COVID‐19 generated epitopes have a different pattern than those generated by vaccination (Figure 2C). An Epitope identified in this study with future prospects is epitope S481‐495 from COIVD‐19 patients that partially overlapped the binding site of two neutralizing antibodies previously isolated from COVID‐19 patients, S2H135 and F2B‐2F61, and contacted amino acids that interact with ACE2 receptor6,7. One epitope of note from the vaccinated individuals is epitope S811‐825 which mapped adjacent to the fusion‐peptide proximal region. These epitopes may be helpful in future vaccine and antibody therapy development. 1 Ju, B. et al. Nature 584, 115‐119. 2 Robbiani, D. F. et al. Nature 584, 437‐442. 3 Seydoux, E. et al. bioRxiv. 4 Wu, Y. et al. Science 368, 1274‐1278. 5 Piccoli, L. et al. Cell 183, 1024‐1042 e1021. 6 Casalino, L. et al. ACS Cent Sci 6, 1722‐1734. 7 Wang, Q. et al. Cell 181, 894‐904 e899.
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Affiliation(s)
| | - Li Yang
- Center for Cellular and Molecular Diagnostics, Tulane University School of MedicineNew OrleansLA
| | - Te Liang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences‐Beijing (PHOENIX Center), Beijing Institute of LifeomicsBeijing
| | | | - Christopher Lyon
- Center for Cellular and Molecular Diagnostics, Tulane University School of MedicineNew OrleansLA
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences‐Beijing (PHOENIX Center), Beijing Institute of LifeomicsBeijing
| | - Tony Hu
- Center for Cellular and Molecular Diagnostics, Tulane University School of MedicineNew OrleansLA
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Zhang X, Zheng M, Wang H, Zhou H, Liang T, Zhang J, Ren J, Peng H, Li S, Bian H, Wei C, Yin S, He C, Han Y, Li M, Hou X, Zhang J, Xie L, Lv J, Kan B, Wang Y, Yu X. Inhibitor screening using microarray identifies the high capacity of neutralizing antibodies to Spike variants in SARS-CoV-2 infection and vaccination. Theranostics 2022; 12:2519-2534. [PMID: 35401825 PMCID: PMC8965487 DOI: 10.7150/thno.67038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 02/10/2022] [Indexed: 11/18/2022] Open
Abstract
Rationale: Mutations of SARS-CoV-2, which is responsible for coronavirus disease 2019 (COVID-19), could impede drug development and reduce the efficacy of COVID-19 vaccines. Here, we developed a multiplexed Spike-ACE2 Inhibitor Screening (mSAIS) assay that can measure the neutralizing effect of antibodies across numerous variants of the coronavirus's Spike (S) protein simultaneously. Methods: The SARS-CoV-2 spike variant protein microarrays were prepared by printing 72 S variants onto a chemically-modified glass slides. The neutralization potential of purified anti-S antibodies and serum from convalescent COVID-19 patients and vaccinees to S variants were assessed with the mSAIS assay. Results: We identified new S mutations that are sensitive and resistant to neutralization. Serum from both infected and vaccinated groups with a high titer of neutralizing antibodies (NAbs) displayed a broader capacity to neutralize S variants than serum with low titer NAbs. These data were validated using serum from a large vaccinated cohort (n = 104) with a tiled S peptide microarray. In addition, similar results were obtained using a SARS-CoV-2 pseudovirus neutralization assay specific for wild-type S and five prevalent S variants (D614G, B.1.1.7, B.1.351, P.1, B.1.617.2), thus demonstrating that high antibody diversity is associated with high NAb titers. Conclusions: Our results demonstrate the utility of the mSAIS platform in screening NAbs. Moreover, we show that heterogeneous antibody populations provide a more protective effect against S variants, which may help direct COVID-19 vaccine and drug development.
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Chen Y, Guo C, Li X, Gao S, Shen Y, Zhang M, Yu J, Wu J, Que R, Zhang A, Bai X, Liang T. 146P Randomized phase II trial of neoadjuvant chemotherapy with modified FOLFIRINOX versus modified FOLFIRINOX and PD-1 antibody for borderline resectable and locally advanced pancreatic cancer (the CISPD-4 study). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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20
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Qin R, Hu M, Li X, Liang T, Tan H, Liu J, Shan G. A new strategy for the fabrication of a flexible and highly sensitive capacitive pressure sensor. Microsyst Nanoeng 2021; 7:100. [PMID: 34868631 PMCID: PMC8630520 DOI: 10.1038/s41378-021-00327-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/24/2021] [Accepted: 10/28/2021] [Indexed: 05/25/2023]
Abstract
The development of flexible capacitive pressure sensors has wide application prospects in the fields of electronic skin and intelligent wearable electronic devices, but it is still a great challenge to fabricate capacitive sensors with high sensitivity. Few reports have considered the use of interdigital electrode structures to improve the sensitivity of capacitive pressure sensors. In this work, a new strategy for the fabrication of a high-performance capacitive flexible pressure sensor based on MXene/polyvinylpyrrolidone (PVP) by an interdigital electrode is reported. By increasing the number of interdigital electrodes and selecting the appropriate dielectric layer, the sensitivity of the capacitive sensor can be improved. The capacitive sensor based on MXene/PVP here has a high sensitivity (~1.25 kPa-1), low detection limit (~0.6 Pa), wide sensing range (up to 294 kPa), fast response and recovery times (~30/15 ms) and mechanical stability of 10000 cycles. The presented sensor here can be used for various pressure detection applications, such as finger pressing, wrist pulse measuring, breathing, swallowing and speech recognition. This work provides a new method of using interdigital electrodes to fabricate a highly sensitive capacitive sensor with very promising application prospects in flexible sensors and wearable electronics.
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Affiliation(s)
- Ruzhan Qin
- School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, 100191 China
| | - Mingjun Hu
- School of Materials Science and Engineering, Beihang University, Beijing, 100191 China
| | - Xin Li
- School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, 100191 China
| | - Te Liang
- School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, 100191 China
| | - Haoyi Tan
- School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, 100191 China
| | - Jinzhang Liu
- School of Materials Science and Engineering, Beihang University, Beijing, 100191 China
| | - Guangcun Shan
- School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, 100191 China
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21
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Tan Q, Dai L, Wang Y, Liu S, Liang T, Luo R, Wang S, Lou N, Chen H, Zhou Y, Zhong Q, Yang J, Xing P, Hu X, Liu Y, Zhou S, Yao J, Wu D, Zhang Z, Tang L, Yu X, Han X, Shi Y. Anti-PD1/PDL1 IgG subclass distribution in ten cancer types and anti-PD1 IgG4 as biomarker for the long time survival in NSCLC with anti-PD1 therapy. Cancer Immunol Immunother 2021; 71:1681-1691. [PMID: 34817638 DOI: 10.1007/s00262-021-03106-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 10/28/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Antibodies targeting programmed cell death-1(PD1) and its ligand (PDL1) have revolutionized cancer therapy. However, little is known about the preexisted anti-PD1/PDL1 autoantibodies (AAbs) distribution in multiple cancer types, nor is their potential biomarker role for anti-PD1 therapy. METHOD Plasma anti-PD1/PDL1 AAb IgG and subclasses (IgG1-4) were detected by enzyme-linked immune sorbent assay (ELISA) in 190 cancer patients, covering 10 cancer types (lung, breast, esophageal, colorectal, liver, prostatic, cervical, ovarian, gastric cancers and lymphoma), the comprehensive correlation of AAbs with multiple clinical parameters was analyzed. We further tested these AAbs in 76 non-small cell lung cancer (NSCLC) samples receiving anti-PD1 therapy, the association of AAbs level with survival was analyzed and validated in an independent cohort (n = 32). RESULTS Anti-PD1/PDL1 AAb IgG were globally detected in 10 types of cancer patients. IgG1 and IgG2 were the major subtypes for anti-PD1/PDL1 AAbs. Correlation analysis revealed a distinct landscape between various cancer types. The random forest model indicated that IgG4 subtype was mostly associated with cancer. In discovery cohort of 76 NSCLC patients, high anti-PD1 IgG4 was associated with a reduced overall survival (OS, p = 0.019), not progression-free survival (PFS, p = 0.088). The negative association of anti-PD1 IgG4 with OS was validated in 32 NSCLC patients (p = 0.032). CONCLUSION This study reports for the first time the distribution of preexisted anti-PD1/PDL1 AAb IgG and subclasses across 10 cancer types. Moreover, the anti-PD1 AAb IgG4 subclass was identified to associate with OS, which may serve as a potential biomarker for anti-PD1 therapeutic survival benefit in NSCLC patients.
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Affiliation(s)
- Qiaoyun Tan
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Liyuan Dai
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Yanrong Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Shuxia Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Te Liang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Rongrong Luo
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Shasha Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Ning Lou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Haizhu Chen
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Yu Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Qiaofeng Zhong
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Jianliang Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Puyuan Xing
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Xingsheng Hu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Yutao Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Shengyu Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Jiarui Yao
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Di Wu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Zhishang Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Le Tang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Xiaohong Han
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100032, China.
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China.
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22
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Xi Y, Qiu B, Li Y, Xie X, Liu F, Wu L, Liang T, Li L, Feng Y, Guo J, Wang D, Chu C, Zeng Y, Yang L, Zhang J, Wang J, Chen M, Xue L, Ding Y, Wu Q, Liu H. Diagnostic Signatures for Lung Cancer by Gut Microbiome and Urine Metabolomics Profiling. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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23
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Yang L, Liang T, Lv J, Qu S, Meng R, Yang B, Feng C, Li Q, Wang X, Zhang D. A quasispecies in a BHK-21 cell-derived virulent Tembusu virus strain contains three groups of variants with distinct virulence phenotypes. Vet Microbiol 2021; 263:109252. [PMID: 34673357 DOI: 10.1016/j.vetmic.2021.109252] [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: 07/21/2021] [Accepted: 10/10/2021] [Indexed: 11/19/2022]
Abstract
Previous studies resulted in the isolation of a low-virulence plaque-purified variant from the third passage (P3) in BHK-21 cells of a Tembusu virus (TMUV) isolate, suggesting the presence of viral quasispecies in the P3 culture. To confirm this notion, the fourth passage virus (P4) was prepared by infecting BHK-21 cells with P3 for isolation of more variants. We isolated 10 plaque-purified viruses. Comparative genome sequence analysis identified six of the 10 viruses as genetically different variants, which harbored a total of eight amino acid differences in the envelope, NS1, NS3, and NS5 proteins. When tested in a 2-day-old Pekin duck model, P4 caused 80 % mortality, belonging to a high-virulence TMUV strain. Out of the six genetically different variants, two presented high-virulence, one exhibited moderate-virulence, and three displayed low-virulence, causing 60 %-70 %, 40 %, and 10 % mortalities, respectively. These results demonstrate that P4 contains at least three groups of variants with distinct virulence phenotypes. Analysis of links between the eight residues and virulence of the six variants identified NS1 protein residue 183 and NS5 protein residues 275 and/or 287 as novel determinants of TMUV virulence. The analysis also provided a new clue for future studies on the molecular basis of TMUV virulence in terms of genetic interaction of different proteins. Overall, our study provides direct evidence to suggest that TMUV exists in in vitro culture of a virulent isolate as a quasispecies, which may enhance our understanding of molecular mechanism of TMUV virulence.
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Affiliation(s)
- Lixin Yang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Te Liang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Junfeng Lv
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Shenghua Qu
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Runze Meng
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Baolin Yang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Chonglun Feng
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Qiong Li
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Xiaoyan Wang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China.
| | - Dabing Zhang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China.
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24
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Hauser SR, Rodd ZA, Deehan GA, Liang T, Rahman S, Bell RL. Effects of adolescent substance use disorders on central cholinergic function. Int Rev Neurobiol 2021; 160:175-221. [PMID: 34696873 DOI: 10.1016/bs.irn.2021.07.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Adolescence is a transitional period between childhood and adulthood, in which the individual undergoes significant cognitive, behavioral, physical, emotional, and social developmental changes. During this period, adolescents engage in experimentation and risky behaviors such as licit and illicit drug use. Adolescents' high vulnerability to abuse drugs and natural reinforcers leads to greater risk for developing substance use disorders (SUDs) during adulthood. Accumulating evidence indicates that the use and abuse of licit and illicit drugs during adolescence and emerging adulthood can disrupt the cholinergic system and its processes. This review will focus on the effects of peri-adolescent nicotine and/or alcohol use, or exposure, on the cholinergic system during adulthood from preclinical and clinical studies. This review further explores potential cholinergic agents and pharmacological manipulations to counteract peri-adolescent nicotine and/or alcohol abuse.
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Affiliation(s)
- S R Hauser
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States; Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States.
| | - Z A Rodd
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States; Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | - G A Deehan
- Department of Psychology, East Tennessee State University, Johnson City, TN, United States
| | - T Liang
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Shafiqur Rahman
- Department of Pharmaceutical Sciences, South Dakota State University, Brookings, SD, United States
| | - Richard L Bell
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States; Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States.
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25
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Cheng L, Zhang X, Chen Y, Wang D, Zhang D, Yan S, Wang H, Xiao M, Liang T, Li H, Xu M, Hou X, Dai J, Wu X, Li M, Lu M, Wu D, Tian R, Zhao J, Zhang Y, Cao W, Wang J, Yan X, Zhou X, Liu Z, Xu Y, He F, Li Y, Yu X, Zhang S. Dynamic landscape mapping of humoral immunity to SARS-CoV-2 identifies non-structural protein antibodies associated with the survival of critical COVID-19 patients. Signal Transduct Target Ther 2021; 6:304. [PMID: 34404759 PMCID: PMC8368053 DOI: 10.1038/s41392-021-00718-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [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] [Received: 02/21/2021] [Revised: 07/19/2021] [Accepted: 08/01/2021] [Indexed: 12/12/2022] Open
Abstract
A comprehensive analysis of the humoral immune response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential in understanding COVID-19 pathogenesis and developing antibody-based diagnostics and therapy. In this work, we performed a longitudinal analysis of antibody responses to SARS-CoV-2 proteins in 104 serum samples from 49 critical COVID-19 patients using a peptide-based SARS-CoV-2 proteome microarray. Our data show that the binding epitopes of IgM and IgG antibodies differ across SARS-CoV-2 proteins and even within the same protein. Moreover, most IgM and IgG epitopes are located within nonstructural proteins (nsps), which are critical in inactivating the host's innate immune response and enabling SARS-CoV-2 replication, transcription, and polyprotein processing. IgM antibodies are associated with a good prognosis and target nsp3 and nsp5 proteases, whereas IgG antibodies are associated with high mortality and target structural proteins (Nucleocapsid, Spike, ORF3a). The epitopes targeted by antibodies in patients with a high mortality rate were further validated using an independent serum cohort (n = 56) and using global correlation mapping analysis with the clinical variables that are associated with COVID-19 severity. Our data provide fundamental insight into humoral immunity during SARS-CoV-2 infection. SARS-CoV-2 immunogenic epitopes identified in this work could also help direct antibody-based COVID-19 treatment and triage patients.
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Affiliation(s)
- Linlin Cheng
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Yu Chen
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Dan Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Dong Zhang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Songxin Yan
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Hongye Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Meng Xiao
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Te Liang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Haolong Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Meng Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Xin Hou
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jiayu Dai
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Xian Wu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Mingyuan Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Minya Lu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Dong Wu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Ran Tian
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jing Zhao
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yan Zhang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Wei Cao
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jinglan Wang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xiaowei Yan
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xiang Zhou
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Zhengyin Liu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yingchun Xu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Fuchu He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
| | - Yongzhe Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
| | - Shuyang Zhang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
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26
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Wang J, Yang Y, Liang T, Yang N, Li T, Zheng C, Ning N, Luo D, Yang X, He Z, Yang G, Li B, Gao J, Yu W, Gong S, Huang Y, Li J, Wang H, Zhang H, Zhang T, Li P, Li Y, Dai J, Zhang X, Li B, Yu X, Wang H. Longitudinal and proteome-wide analyses of antibodies in COVID-19 patients reveal features of the humoral immune response to SARS-CoV-2. J Adv Res 2021; 37:209-219. [PMID: 35475278 PMCID: PMC8313818 DOI: 10.1016/j.jare.2021.07.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/12/2021] [Accepted: 07/23/2021] [Indexed: 12/11/2022] Open
Abstract
We performed a longitudinal and proteome-wide analysis of antibodies in the COVID-19 patients using a SARS-CoV-2 proteome microarray (1,340,208 Ag-Ab reactions). As far as we know, this is the first systematic analysis of antibodies in the COVID-19 patients through the whole viral proteome of the SARS-CoV-2, the whole course of the patient, and different antibody isotypes (IgM, IgG, and IgA). We profiled a B-cell epitope landscape of SARS-CoV-2 and identified specific epitopes recognized by IgM, IgG, or IgA. We identified 12 dominant B-cell epitopes eliciting antibodies in most COVID-19 patients and identified the key sequence of epitopes at the amino acid resolution (five key amino acids). We found epitope S-82 and S-15 are perfect immunogenic peptides and should be considered in vaccine design.
Introduction The SARS-CoV-2 pandemic has endangered global health, the world economy, and societal values. Despite intensive measures taken around the world, morbidity and mortality remain high as many countries face new waves of infection and the spread of new variants. Worryingly, more and more variants are now being identified, such as 501Y.V1 (B.1.1.7) in the UK, 501Y.V2 (B.1.351) in South Africa, 501Y.V3 in Manaus, Brazil, and B.1.617/B.1.618 in India, which could lead to a severe epidemic rebound. Moreover, some variants have a stronger immune escape ability. To control the new SARS-CoV-2 variant, we may need to develop and redesign new vaccines repeatedly. So it is important to investigate how our immune system combats and responds to SARS-CoV-2 infection to develop safe and effective medical interventions. Objectives In this study, we performed a longitudinal and proteome-wide analysis of antibodies in the COVID-19 patients to revealed some immune processes of COVID-19 patients against SARS-CoV-2 and found some dominant epitopes of a potential vaccine. Methods Microarray assay, Antibody depletion assays, Neutralization assay. Results We profiled a B-cell linear epitope landscape of SARS-CoV-2 and identified the epitopes specifically recognized by either IgM, IgG, or IgA. We found that epitopes more frequently recognized by IgM are enriched in non-structural proteins. We further identified epitopes with different immune responses in severe and mild patients. Moreover, we identified 12 dominant epitopes eliciting antibodies in most COVID-19 patients and identified five key amino acids of epitopes. Furthermore, we found epitope S-82 and S-15 are perfect immunogenic peptides and should be considered in vaccine design. Conclusion This data provide useful information and rich resources for improving our understanding of viral infection and developing a novel vaccine/neutralizing antibodies for the treatment of SARS-CoV-2.
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Affiliation(s)
- Jianxin Wang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Yongfei Yang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Te Liang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Ning Yang
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
| | - Tao Li
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Chang Zheng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Nianzhi Ning
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Deyan Luo
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Xiaolan Yang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Zhili He
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Guang Yang
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
| | - Bo Li
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
| | - Jie Gao
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Wenjing Yu
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Saisai Gong
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Yanyu Huang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Jiajia Li
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Hongye Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Hao Zhang
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
| | - Tian Zhang
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
| | - Peiran Li
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
| | - Yongli Li
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
| | - Jiayu Dai
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Boan Li
- Department of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, No.100 West Fourth Ring Road, Beijing 100039, China
- Corresponding authors.
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
- Corresponding authors.
| | - Hui Wang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
- Corresponding authors.
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Zeyu W, Liang T, Song G, Lin J, Xiao Y, Wang F, Zhang J, Xu Y, Fu Q. The effects of primary realignment or suprapubic cystostomy on prostatic displacement in patients with pelvic fracture urethral injury: A clinical study based on MR urethrography. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01508-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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28
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Wei LN, Luo M, Wang XP, Liang T, Huang CJ, Chen H. PADI4, negatively regulated by miR-335-5p, participates in regulating the proliferation, migration, invasion and radiosensitivity of nasopharyngeal carcinoma cells. J BIOL REG HOMEOS AG 2021; 35:117-129. [PMID: 33593046 DOI: 10.23812/20-620-a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Peptidyl arginine deiminase 4 (PADI4), an enzyme that converts arginine residues to citrulline residues in the presence of calcium ions, affects the biochemical activities of proteins. The biological function of PADI4 as well as its mechanism in nasopharyngeal carcinoma (NPC) necessitates further investigation. PADI4 expression in NPC tissues and cells was detected using Western blot. qRT-PCR was used to determine the expression of miR-335-5p and PADI4 mRNA in NPC tissues and cells. BrdU assay and CCK-8 assay were employed to detect cell proliferation. Cell migration and invasion were evaluated using Transwell assay. NPC cells were exposed to different doses of radiation in vitro, and then colony formation assays were used to detect colony survival. The target relationship between miR-335-5p and PADI4 was verified using Western blot, qRT-PCR, and dual-luciferase reporter gene assays. Compared with normal mucosal epithelial tissues and cell lines, the expression level of PADI4 in NPC tissues and cells was significantly up-regulated. PADI4 overexpression promoted the proliferation, migration, and invasion of NPC cells. Under radiation, NPC cell survival was significantly promoted by the up-regulation of PADI4. Conversely, knock-down of PADI4 suppressed the above-mentioned malignant phenotypes. MiR-335-5p could bind with the 3' UTR of PADI4 mRNA, and suppressed the expression of PADI4. PADI4 down-regulated the expression of p21 and activated the mTOR signaling pathway. PADI4, which is negatively regulated by miR-335-5p, promotes the proliferation, migration, invasion and radioresistance of NPC cells by regulating the p21 and mTOR signaling pathways.
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Affiliation(s)
- L N Wei
- Department of Endoscopy, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning Guangxi, China
| | - M Luo
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - X P Wang
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - T Liang
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - C J Huang
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
| | - H Chen
- Department of Oncology, Nanning The Second People's Hospital, Nanning, Guangxi, China
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Wang H, Wu X, Zhang X, Hou X, Liang T, Wang D, Teng F, Dai J, Duan H, Guo S, Li Y, Yu X. SARS-CoV-2 Proteome Microarray for Mapping COVID-19 Antibody Interactions at Amino Acid Resolution. ACS Cent Sci 2020; 6:2238-2249. [PMID: 33372199 PMCID: PMC7586461 DOI: 10.1021/acscentsci.0c00742] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Indexed: 05/07/2023]
Abstract
Comprehensive profiling of humoral antibody response to severe acute respiratory syndrome (SARS) coronavirus-2 (CoV-2) proteins is essential in understanding the host immunity and in developing diagnostic tests and vaccines. To address this concern, we developed a SARS-CoV-2 proteome peptide microarray to analyze antibody interactions at the amino acid resolution. With the array, we demonstrate the feasibility of employing SARS-CoV-1 antibodies to detect the SARS-CoV-2 nucleocapsid phosphoprotein. The first landscape of B-cell epitopes for SARS-CoV-2 IgM and IgG antibodies in the serum of 10 coronavirus disease of 2019 (COVID-19) patients with early infection is also constructed. With array data and structural analysis, a peptide epitope for neutralizing antibodies within the SARS-CoV-2 spike receptor-binding domain's interaction interface with the angiotensin-converting enzyme 2 receptor was predicted. All the results demonstrate the utility of our microarray as a platform to determine the changes of antibody responses in COVID-19 patients and animal models as well as to identify potential targets for diagnosis and treatment.
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Affiliation(s)
- Hongye Wang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xian Wu
- Department
of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union
Medical College, Beijing 100730, China
| | - Xiaomei Zhang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xin Hou
- Department
of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union
Medical College, Beijing 100730, China
| | - Te Liang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Dan Wang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Fei Teng
- Department
of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary
Cerebral Resuscitation, Beijing 100020, China
| | - Jiayu Dai
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Hu Duan
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Shubin Guo
- Department
of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary
Cerebral Resuscitation, Beijing 100020, China
| | - Yongzhe Li
- Department
of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union
Medical College, Beijing 100730, China
- (Y.L.)
| | - Xiaobo Yu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
- (X.Y.)
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Hou X, Zhang X, Wu X, Lu M, Wang D, Xu M, Wang H, Liang T, Dai J, Duan H, Xu Y, Yu X, Li Y. Serum Protein Profiling Reveals a Landscape of Inflammation and Immune Signaling in Early-stage COVID-19 Infection. Mol Cell Proteomics 2020; 19:1749-1759. [PMID: 32788344 PMCID: PMC7664125 DOI: 10.1074/mcp.rp120.002128] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [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: 05/13/2020] [Revised: 07/22/2020] [Indexed: 12/13/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) is a highly contagious infection and threating the human lives in the world. The elevation of cytokines in blood is crucial to induce cytokine storm and immunosuppression in the transition of severity in COVID-19 patients. However, the comprehensive changes of serum proteins in COVID-19 patients throughout the SARS-CoV-2 infection is unknown. In this work, we developed a high-density antibody microarray and performed an in-depth proteomics analysis of serum samples collected from early COVID-19 (n = 15) and influenza (n = 13) patients. We identified a large set of differentially expressed proteins (n = 132) that participate in a landscape of inflammation and immune signaling related to the SARS-CoV-2 infection. Furthermore, the significant correlations of neutrophil and lymphocyte with the CCL2 and CXCL10 mediated cytokine signaling pathways was identified. These information are valuable for the understanding of COVID-19 pathogenesis, identification of biomarkers and development of the optimal anti-inflammation therapy.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Betacoronavirus/pathogenicity
- Blood Proteins/genetics
- Blood Proteins/immunology
- COVID-19
- Child
- Coronavirus Infections/genetics
- Coronavirus Infections/immunology
- Coronavirus Infections/physiopathology
- Coronavirus Infections/virology
- Cough/genetics
- Cough/immunology
- Cough/physiopathology
- Cough/virology
- Cytokine Release Syndrome/genetics
- Cytokine Release Syndrome/immunology
- Cytokine Release Syndrome/physiopathology
- Cytokine Release Syndrome/virology
- Cytokines/genetics
- Cytokines/immunology
- Female
- Fever/genetics
- Fever/immunology
- Fever/physiopathology
- Fever/virology
- Gene Expression Profiling
- Gene Expression Regulation
- Headache/genetics
- Headache/immunology
- Headache/physiopathology
- Headache/virology
- Humans
- Influenza, Human/genetics
- Influenza, Human/immunology
- Influenza, Human/physiopathology
- Influenza, Human/virology
- Male
- Middle Aged
- Myalgia/genetics
- Myalgia/immunology
- Myalgia/physiopathology
- Myalgia/virology
- Orthomyxoviridae/pathogenicity
- Pandemics
- Pneumonia, Viral/genetics
- Pneumonia, Viral/immunology
- Pneumonia, Viral/physiopathology
- Pneumonia, Viral/virology
- Protein Array Analysis
- Proteome/genetics
- Proteome/immunology
- Receptors, Cytokine/genetics
- Receptors, Cytokine/immunology
- SARS-CoV-2
- Signal Transduction/immunology
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Affiliation(s)
- Xin Hou
- Department of Clinical Laboratory & Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Xian Wu
- Department of Clinical Laboratory & Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Minya Lu
- Department of Clinical Laboratory & Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Dan Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Meng Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Hongye Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Te Liang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Jiayu Dai
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Hu Duan
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Yingchun Xu
- Department of Clinical Laboratory & Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
| | - Yongzhe Li
- Department of Clinical Laboratory & Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
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Tan Q, Wang Y, Liu S, Luo R, Wang S, Liang T, Yang J, Xing P, Yao J, Wu D, Zhang Z, Dai J, Yu X, Han X, Shi Y. 1945P Distribution of anti-PD1/PDL1 autoantibodies in multiple cancer types and potential biomarker role for anti-PD1 therapy. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1337] [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: 11/29/2022] Open
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Xu M, Wang D, Wang H, Zhang X, Liang T, Dai J, Li M, Zhang J, Zhang K, Xu D, Yu X. COVID-19 diagnostic testing: Technology perspective. Clin Transl Med 2020; 10:e158. [PMID: 32898340 PMCID: PMC7443140 DOI: 10.1002/ctm2.158] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/05/2020] [Accepted: 08/10/2020] [Indexed: 02/06/2023] Open
Abstract
The corona virus disease 2019 (COVID-19) is a highly contagious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). More than 18 million people were infected with a total of 0.7 million deaths in ∼188 countries. Controlling the spread of SARS-CoV-2 is therefore inherently dependent on identifying and isolating infected individuals, especially since COVID-19 can result in little to no symptoms. Here, we provide a comprehensive review of the different primary technologies used to test for COVID-19 infection, discuss the advantages and disadvantages of each technology, and highlight the studies that have employed them. We also describe technologies that have the potential to accelerate SARS-CoV-2 detection in the future, including digital PCR, CRISPR, and microarray. Finally, remaining challenges in COVID-19 diagnostic testing are discussed, including (a) the lack of universal standards for diagnostic testing; (b) the identification of appropriate sample collection site(s); (c) the difficulty in performing large population screening; and (d) the limited understanding of SARS-COV-2 viral invasion, replication, and transmission.
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Affiliation(s)
- Meng Xu
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
- State Key Laboratory of Analytical Chemistry for Life ScienceSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjingChina
| | - Dan Wang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Hongye Wang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Xiaomei Zhang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Te Liang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Jiayu Dai
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Meng Li
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Jiahui Zhang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Kai Zhang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Danke Xu
- State Key Laboratory of Analytical Chemistry for Life ScienceSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjingChina
| | - Xiaobo Yu
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
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Tan Q, Wang D, Yang J, Xing P, Yang S, Li Y, Qin Y, He X, Liu Y, Zhou S, Duan H, Liang T, Wang H, Wang Y, Jiang S, Zhao F, Zhong Q, Zhou Y, Wang S, Dai J, Yao J, Wu D, Zhang Z, Sun Y, Han X, Yu X, Shi Y. Autoantibody profiling identifies predictive biomarkers of response to anti-PD1 therapy in cancer patients. Am J Cancer Res 2020; 10:6399-6410. [PMID: 32483460 PMCID: PMC7255026 DOI: 10.7150/thno.45816] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 05/01/2020] [Indexed: 12/13/2022] Open
Abstract
Background: Programmed cell death protein 1 (PD1) inhibitors have revolutionized cancer therapy, yet many patients fail to respond. Thus, the identification of accurate predictive biomarkers of therapy response will improve the clinical benefit of anti-PD1 therapy. Method: We assessed the baseline serological autoantibody (AAb) profile against ~2300 proteins in 10 samples and ~4600 proteins in 35 samples with alveolar soft part sarcoma (ASPS), non-small-cell lung cancer (NSCLC) and lymphoma using Nucleic Acid Programmable Protein Arrays (NAPPA). 23 selected potential AAb biomarkers were verified using simple, affordable and rapid enzyme linked immune sorbent assay (ELISA) technology with baseline plasma samples from 12 ASPS, 16 NSCLC and 46 lymphoma patients. SIX2 and EIF4E2 AAbs were further validated in independent cohorts of 17 NSCLC and 43 lymphoma patients, respectively, using ELISA. The IgG subtypes in response to therapy were also investigated. Results: Distinct AAb profiles between ASPS, NSCLC and lymphoma were observed. In ASPS, the production of P53 and PD1 AAbs were significantly increased in non-responders (p=0.037). In NSCLC, the SIX2 AAb was predictive of response with area under the curve (AUC) of 0.87, 0.85 and 0.90 at 3 months, 4.5 months, 6 months evaluation time points, respectively. In the validation cohort, the SIX2 AAb was consistently up-regulated in non-responders (p=0.024). For lymphoma, the EIF4E2 AAb correlated with a favorable response with AUCs of 0.68, 0.70, and 0.70 at 3 months, 4.5 months, and 6 months, respectively. In the validation cohort, the AUCs were 0.74, 0.75 and 0.66 at 3 months, 4.5 months, and 6 months, respectively. The PD1 and PD-L1 IgG2 AAbs were highly produced in ~20% of lymphoma responders. Furthermore, bioinformatics analysis revealed antigen functions of these AAb biomarkers. Conclusion: This study provides the first evidence that AAb biomarkers selected using high-throughput protein microarrays can predict anti-PD1 therapeutic response and guide anti-PD1 therapy.
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Wang B, Liang T, Li J. Long noncoding RNA LINC01296 is associated with poor prognosis in ESCC and promotes ESCC cell proliferation, migration and invasion. Eur Rev Med Pharmacol Sci 2019; 22:4524-4531. [PMID: 30058683 DOI: 10.26355/eurrev_201807_15507] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Recent studies have reported that long intergenic non-protein-coding RNA 1296 (LINC01296) regulates the tumorigenesis and the progression of several tumors, but the role of LINC01296 in esophageal squamous cell carcinoma (ESCC) remains unclear. The purpose of this study was to examine the expression, function, and clinical significance of LINC01296 in ESCC. PATIENTS AND METHODS Expression of LINC01296 was analyzed in 221 ESCC tissues and three ESCC cell lines by Real-time quantitative RT-PCR. The correlation between LINC01296 levels and other clinical features, disease-free survival (DFS), and overall survival (OS) was analyzed statistically. The function of LINC01296 on cell proliferation, migration, and invasion was confirmed in vitro through MTT assay and transwell assay. RESULTS We found that LINC01296 was upregulated in ESCC cell lines and cancerous tissues, as compared with normal esophagus cells and adjacent normal tissue samples. High LINC01296 expression was significantly correlated with differentiation grade (p=0.000), lymph nodes metastasis (p=0.002), distant metastasis (p=0.002), and TNM stage (p = 0.015). Moreover, ESCC patients with high LINC01296 expression experienced shorter OS and DFS (p=0.0009 and p=0.0005, respectively). In addition, univariate and multivariate analysis showed that LINC01296 expression was an independent predictor for both OS and DFS in ESCC. Functionally, the results of in vitro assay indicated that down-regulation of LINC01296 significantly suppressed ESCC cells proliferation, migration, and invasion, suggesting that LINC01296 contributed to tumorigenesis of ESCC. CONCLUSIONS Our findings indicate that LINC01296 exerts a role in promoting the development of human ESCC. Up-regulation of LINC01296 could be considered as a predictor for diagnosis and prognosis of ESCC patients.
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Affiliation(s)
- B Wang
- Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, China.
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Wang C, Xie L, Wang Y, Liang T, Wu H, He H. Combined cellular immunotherapy and chemotherapy improves clinical outcome and displays safety in the treatment of patients with colorectal cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz421.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Liang T, Liu X, Qu S, Lv J, Yang L, Zhang D. Pathogenicity of egg-type duck-origin isolate of Tembusu virus in Pekin ducklings. BMC Vet Res 2019; 15:362. [PMID: 31651323 PMCID: PMC6813075 DOI: 10.1186/s12917-019-2136-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 10/10/2019] [Indexed: 11/16/2022] Open
Abstract
Background Tembusu virus (TMUV) usually affects adult ducks, causing a severe drop of egg production. It has also been shown to be pathogenic in commercial Pekin ducklings below 7 weeks of age. Here, we report a TMUV-caused neurological disease in young egg-type ducklings and the pathogenicity of the egg-type duck-origin TMUV isolates in meat-type Pekin ducklings. Results The disease occurred in 25 to 40-day-old Jinding ducklings in China, and was characterized by paralysis. Gross lesions were lacking and microscopic lesions appeared chiefly in brain and spleen. Inoculation in embryonated duck eggs resulted in isolation of TMUV Y and GL. The clinical signs and microscopic lesions observed in the spontaneously infected egg-type ducks were repeated in Pekin ducklings by experimental infection. Notably, both Y and GL strains caused 100% mortality in the case of 2-day-old inoculation by intracerebral route. High mortalities (80 and 70%) also occurred following infection of the Y virus at 2 days of age by intramuscular route and at 9 days of age by intracerebral route. Conclusions These findings demonstrate that the egg-type duck-origin TMUVs exhibit high pathogenicity in Pekin ducklings, and that the severity of the disease in ducklings is dependent on the infection route and the age of birds at the time of infection. The availability of the highly pathogenic TMUV strains provides a useful material with which to begin investigations into the molecular basis of TMUV pathogenicity in ducks.
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Affiliation(s)
- Te Liang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian district, Beijing, 100193, People's Republic of China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Xiaoxiao Liu
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian district, Beijing, 100193, People's Republic of China
| | - Shenghua Qu
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian district, Beijing, 100193, People's Republic of China
| | - Junfeng Lv
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian district, Beijing, 100193, People's Republic of China
| | - Lixin Yang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian district, Beijing, 100193, People's Republic of China
| | - Dabing Zhang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian district, Beijing, 100193, People's Republic of China.
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Wang T, Liu X, Tian Q, Liang T, Chang P. Reduced SPOCK1 expression inhibits non-small cell lung cancer cell proliferation and migration through Wnt/β-catenin signaling. Eur Rev Med Pharmacol Sci 2019; 22:637-644. [PMID: 29461591 DOI: 10.26355/eurrev_201802_14288] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Accumulating evidence suggests that SPARC/osteonectin, cwcv, and kazal-like domain proteoglycan 1 (SPOCK1) contributes to the initiation and progression of human cancers. However, little is known about the function mechanisms of SPOCK1 in non-small cell lung cancer (NSCLC). The aim of this study was to investigate the molecular mechanism of SPOCK1 in NSCLC. PATIENTS AND METHODS The expression levels of SPOCK1 in NSCLC tissues and cell lines were analyzed by qRT-PCR and Western blotting. The proliferative activity of NSCLC cells was determined by MTT and colony formation assays. The transwell assay was used to examine the cell migration and invasive ability. To study the impact of SPOCK1 on Wnt/β‑catenin signaling, we further performed Western blotting for related proteins in this pathway. RESULTS We observed that the expression of SPOCK1 at both protein and mRNA levels was also increased in human NSCLC tissues and cell lines. Functionally, down-regulation of SPOCK1 in NSCLC cells markedly suppressed cell proliferation, colony formation, migration and invasion in vitro. Mechanistically, we found that indicated the activation of Wnt/β-catenin pathway was suppressed by SPOCK1 silencing. CONCLUSIONS The expression of SPOCK1 served as a tumor promoter, possibly through the Wnt/β-catenin signaling pathway in NSCLC. Targeting SPOCK1 could be a potential therapeutic strategy in NSCLC.
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Affiliation(s)
- T Wang
- Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, China.
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Abstract
Dentin sialophosphoprotein (DSPP) is an extracellular matrix protein highly expressed by odontoblasts in teeth. DSPP mutations in humans may cause dentinogenesis imperfecta (DGI), an autosomal dominant dentin disorder. We recently generated a mouse model (named "DsppP19L/+ mice") that expressed a mutant DSPP in which the proline residue at position 19 was replaced by a leucine residue. We found that the DsppP19L/+ and DsppP19L/P19L mice at a younger age displayed a tooth phenotype resembling human DGI type III characterized by enlarged dental pulp chambers, while the teeth of older DsppP19L/+ and DsppP19L/P19L mice had smaller dental pulp chambers mimicking DGI type II. The teeth of DsppP19L/+ and DsppP19L/P19L mice had a narrower pulp chamber roof predentin layer, thinner pulp chamber roof dentin, and thicker pulp chamber floor dentin. In addition, these mice also had increased enamel attrition, accompanied by excessive deposition of peritubular dentin. Immunohistochemistry, in situ hybridization, and real-time polymerase chain reaction analyses showed that the odontoblasts in both DsppP19L/+ and DsppP19L/P19L mice had reduced DSPP expression, compared to the wild-type mice. We also observed that the levels of DSPP expression were much higher in the roof-forming odontoblasts than in the floor-forming odontoblasts in the wild-type mice and mutant mice. Moreover, immunohistochemistry showed that while the immunostaining signals of dentin sialoprotein (N-terminal fragment of DSPP) were decreased in the dentin matrix, they were remarkably increased in the odontoblasts of the DsppP19L/+ and DsppP19L/P19L mice. Consistently, our in vitro studies showed that the secretion of the mutant DSPP was impaired and accumulated within endoplasmic reticulum. These findings suggest that the dental phenotypes of the mutant mice were associated with the intracellular retention of the mutant DSPP in the odontoblasts of the DSPP-mutant mice.
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Affiliation(s)
- T Liang
- 1 Department of Biomedical Sciences and Center for Craniofacial Research and Diagnosis, Texas A&M University College of Dentistry, Dallas, TX, USA
| | - H Zhang
- 1 Department of Biomedical Sciences and Center for Craniofacial Research and Diagnosis, Texas A&M University College of Dentistry, Dallas, TX, USA
| | - Q Xu
- 1 Department of Biomedical Sciences and Center for Craniofacial Research and Diagnosis, Texas A&M University College of Dentistry, Dallas, TX, USA
| | - S Wang
- 1 Department of Biomedical Sciences and Center for Craniofacial Research and Diagnosis, Texas A&M University College of Dentistry, Dallas, TX, USA
| | - C Qin
- 1 Department of Biomedical Sciences and Center for Craniofacial Research and Diagnosis, Texas A&M University College of Dentistry, Dallas, TX, USA
| | - Y Lu
- 1 Department of Biomedical Sciences and Center for Craniofacial Research and Diagnosis, Texas A&M University College of Dentistry, Dallas, TX, USA
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Kuo W, Liang T, Rosenberg J, Hofmann L. 04:12 PM Abstract No. 101 LASER-assisted removal of embedded vena cava filters: a prospective escalation trial in 500 patients refractory to high-force retrieval. J Vasc Interv Radiol 2019. [DOI: 10.1016/j.jvir.2018.12.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Abstract
Objectives The purpose of this study was to examine the bactericidal efficacy of hydrogen peroxide (H2O2) on Cutibacterium acnes (C. acnes). We hypothesize that H2O2 reduces the bacterial burden of C. acnes. Methods The effect of H2O2 was assessed by testing bactericidal effect, time course analysis, growth inhibition, and minimum bactericidal concentration. To assess the bactericidal effect, bacteria were treated for 30 minutes with 0%, 1%, 3%, 4%, 6%, 8%, or 10% H2O2 in saline or water and compared with 3% topical H2O2 solution. For time course analysis, bacteria were treated with water or saline (controls), 3% H2O2 in water, 3% H2O2 in saline, or 3% topical solution for 5, 10, 15, 20, and 30 minutes. Results were analyzed with a two-way analysis of variance (ANOVA) (p < 0.05). Results Minimum inhibitory concentration of H2O2 after 30 minutes is 1% for H2O2 prepared in saline and water. The 3% topical solution was as effective when compared with the 1% H2O2 prepared in saline or water. The controls of both saline and water showed no reduction of bacteria. After five minutes of exposure, all mixtures of H2O2 reduced the percentage of live bacteria, with the topical solution being most effective (p < 0.0001). Maximum growth inhibition was achieved with topical 3% H2O2. Conclusion The inexpensive and commercially available topical solution of 3% H2O2 demonstrated superior bactericidal effect as observed in the minimum bactericidal inhibitory concentration, time course, and colony-forming unit (CFU) inhibition assays. These results support the use of topical 3% H2O2 for five minutes before surgical skin preparation prior to shoulder surgery to achieve eradication of C. acnes for the skin.Cite this article: P. Hernandez, B. Sager, A. Fa, T. Liang, C. Lozano, M. Khazzam. Bactericidal efficacy of hydrogen peroxide on Cutibacterium acnes. Bone Joint Res 2019;8:3-10. DOI: 10.1302/2046-3758.81.BJR-2018-0145.R1.
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Affiliation(s)
- P Hernandez
- Institute for Research in Dental Sciences, Faculty of Dentistry, University of Chile, Santiago, Chile
| | - B Sager
- Institute for Research in Dental Sciences, Faculty of Dentistry, University of Chile, Santiago, Chile
| | - A Fa
- Institute for Research in Dental Sciences, Faculty of Dentistry, University of Chile, Santiago, Chile
| | - T Liang
- Department of Orthopaedic Surgery; Shoulder Service, University of Texas Southwestern Medical Center, Texas, USA
| | - C Lozano
- Institute for Research in Dental Sciences, Faculty of Dentistry, University of Chile, Santiago, Chile
| | - M Khazzam
- Department of Orthopaedic Surgery; Shoulder Service, University of Texas Southwestern Medical Center, Texas, USA
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Abstract
We aimed to determine the effects of miR-433 on the malignant behaviors of ovarian cancer cells, as well as to elucidate the possible mechanisms of ovarian cancer development. A total of 9 ovarian cancer tissues and 9 matched normal ovary tissues were obtained, and the expression levels of miR-433 and Notch1 were then determined by real-time PCR. Human ovarian cancer cell lines SKOV3 and OVCAR3 were transfected with miR-433 mimics, negative miR-control and Notch1 siRNA. The expression of Notch1 protein in transfected cells was determined by western blot. In addition, the proliferation, migration and invasion of SKOV3 and OVCAR3 cells in vitro were then evaluated using Cell Counting Kit 8, wound healing assay and Transwell invasion assay, respectively. Besides, bioinformatics methods and luciferace reporter assay were performed to confirm whether Notch1 was a direct target of miR-433. The expression of miR-433 was markedly down-regulated while Notch1 expression was significantly up-regulated in ovarian cancer tissues compared with matched normal ovary tissues. Overexpression of miR-433 significantly inhibited the migration and invasion of ovarian cancer cells, but had not significant effects on cell proliferation. In addition, Notch1 was a direct target of miR-433. Besides, down-regulation of Notch1 inhibited the invasion of ovarian cancer cells. Our findings indicate that miR-433 may inhibit cell migration and invasion in the development of ovarian cancer via down-regulation of Notch1. Notch1 may serve as a potential target in cancer therapy.
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Li Y, Li H, Chu Q, Xu F, Liang T, Zhou B. Macleaya cordata extracts suppressed the increase of a part of antibiotic resistance genes in fecal microorganism of weaned pigs. Can J Anim Sci 2018. [DOI: 10.1139/cjas-2017-0200] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
This study was designed to evaluate the effects of Macleaya cordata extracts (Chinese herbal medicine extracts) and antibiotics combination with chlortetracycline (CTC) on the antibiotic resistance genes in fecal microorganism. Compared with the group without antibiotics, the relative abundances of all six tetracycline resistance genes were increased after 75 mg kg−1 CTC supplementation. Interestingly, M. cordata extracts in feed suppressed the increase of a part of tetracycline resistance genes in fecal microorganism of weaned pigs.
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Affiliation(s)
- Y. Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
| | - H. Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
| | - Q. Chu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
| | - F. Xu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
| | - T. Liang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
| | - B. Zhou
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, People’s Republic of China
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Chen W, Ma T, Bai X, Zhang X, Li G, Lao M, Liang T. Acute Graft-vs-Host Disease After Liver Transplantation in a Patient Presenting With Neurogenic Symptoms as the Single Primary Manifestation: A Case Report. Transplant Proc 2018; 50:4028-4032. [DOI: 10.1016/j.transproceed.2018.05.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 05/23/2018] [Indexed: 12/24/2022]
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Nayyar S, Beheshti M, Liang T, Masse S, Bhaskaran A, Downar E, Vigmond E, Nanthakumar K. PREDICTING VENTRICULAR TACHYCARDIA CHANNELS IN HUMANS FROM ENTROPY ANALYSIS OF SINUS RHYTHM ELECTROGRAMS. Can J Cardiol 2018. [DOI: 10.1016/j.cjca.2018.07.396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
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Dai HX, Li JW, Zhang YQ, Chen XS, Huang X, Liu LJ, Yang YP, Liu EQ, Wang JX, Chen XF, Zeng S, Liang T, Xu XH. Screening of parathyroid gland by high frequency ultrasound and the relationship between recurrent urinary calculi and primary hyperparathyroidism. Eur Rev Med Pharmacol Sci 2018; 22:5447-5451. [PMID: 30229815 DOI: 10.26355/eurrev_201809_15804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To understand the value of high frequency ultrasound in the clinical screening of parathyroid gland, and to summarize the intrinsic relationship between primary hyperparathyroidism and recurrent urinary calculi. PATIENTS AND METHODS 98 cases of urinary calculi were randomly selected, and the patients were admitted to our hospital from March 2014 to August 2017. A total of 100 healthy subjects were selected as group B in the same period. High frequency color Doppler ultrasonography scan recorded the results. RESULTS Among the subjects in group A, 67 (68.37%) showed parathyroid gland, 14 cases (14.29%) had tumor mass in the parathyroid system, 40 cases more than those in group B (40.00%) and 2 cases (2.00%), (p <0.05). There were 10 cases (10.20%) of primary hyperparathyroidism in group A and no cases of primary hyperparathyroidism in group B (p < 0.05). The occurrence of primary hyperparathyroidism was 26.92% (7/26) in the number of cases, with 3 and more cases of urinary calculi, which was higher than that in the first recurrent cases (3/72), (p<0.005). CONCLUSIONS One of the key causes of recurrent episodes of urinary calculi is primary hyperparathyroidism, which can be applied to high frequency ultrasonography to develop professional screening of parathyroid gland in cases of urinary calculi.
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Affiliation(s)
- H-X Dai
- Department of Ultrasound, Guangdong Medical University Affiliated Hospital, Zhanjiang, China.
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Wang M, Liu H, Wei X, Liu C, Liang T, Zhang X, Jin C, Li X, Sun Q, Jiang H, Yang J. Application of Reduced-FOV Diffusion-Weighted Imaging in Evaluation of Normal Pituitary Glands and Pituitary Macroadenomas. AJNR Am J Neuroradiol 2018; 39:1499-1504. [PMID: 30026383 DOI: 10.3174/ajnr.a5735] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 04/13/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE FOV optimized and constrained undistorted single-shot imaging provides relatively high-resolution images with few artifacts. This study evaluated the image quality and value of FOV optimized and constrained undistorted single-shot DWI in the evaluation of normal pituitary glands and pituitary macroadenomas. MATERIALS AND METHODS Subjects with normal pituitary glands and patients with pituitary macroadenomas underwent FOV optimized and constrained undistorted single-shot and EPI DWI. Two neuroradiologists graded the image quality based on visualization of the pituitary stalk, pituitary gland, and pituitary macroadenoma. Intra- and interobserver agreements were assessed by κ statistics. Image quality and ADCs were compared between the 2 methods by the paired Wilcoxon signed rank test and t test. Differences in ADC between normal pituitary glands and macroadenomas were analyzed by the independent-samples t test. RESULTS Twenty-eight subjects with normal pituitary glands and 16 patients with macroadenomas were enrolled. Intra- and interobserver agreements for image-quality assessment were moderate to substantial. Relative to EPI DWI, FOV optimized and constrained undistorted single-shot DWI exhibited obviously better image quality both in normal pituitary glands and macroadenomas. There was no significant difference in ADCs of macroadenomas between the 2 methods. Macroadenomas with soft consistency (0.75 ± 0.14 × 10-3 mm2/s) had significantly lower mean ADC than normal pituitary glands (1.18 ± 0.19 × 10-3 mm2/s; P < .001). CONCLUSIONS FOV optimized and constrained undistorted single-shot DWI helps acquire high-resolution images of normal pituitary glands and pituitary macroadenomas with relatively few susceptibility artifacts in a clinically feasible scan time. This sequence might be helpful for evaluating the consistency of pituitary macroadenomas.
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Affiliation(s)
- M Wang
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital
| | - H Liu
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital.,Department of Biomedical Engineering (H.L., T.L., Q.L.S., H.X.J., J.Y.), the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - X Wei
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital
| | - C Liu
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital
| | - T Liang
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital.,Department of Biomedical Engineering (H.L., T.L., Q.L.S., H.X.J., J.Y.), the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - X Zhang
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital
| | - C Jin
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital
| | - X Li
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital
| | - Q Sun
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital.,Department of Biomedical Engineering (H.L., T.L., Q.L.S., H.X.J., J.Y.), the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - H Jiang
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital.,Department of Biomedical Engineering (H.L., T.L., Q.L.S., H.X.J., J.Y.), the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - J Yang
- From the Department of Diagnostic Radiology (M.M.W., H.L., X.C.W., C.C.L., T.L., X.H.Z., C.J., X.J.L., Q.L.S., H.X.J., J.Y.), the First Affiliated Hospital .,Department of Biomedical Engineering (H.L., T.L., Q.L.S., H.X.J., J.Y.), the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
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Ning K, Liang T, Wang M, Dong Y, Qu S, Zhang D. Pathogenicity of a variant goose parvovirus, from short beak and dwarfism syndrome of Pekin ducks, in goose embryos and goslings. Avian Pathol 2018; 47:391-399. [PMID: 29630396 DOI: 10.1080/03079457.2018.1459040] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
The pathogenicity of a variant goose parvovirus (GPV), isolated from short beak and dwarfism syndrome of Pekin ducks (strain Cherry Valley), was investigated in embryonating goose eggs and goslings. The virus was easily grown in GPV antibody-free goose embryos and caused high mortality and severe lesions of goose embryos, indicating that the variant GPV has good adaptation and high pathogenicity to embryonated goose eggs similar to the classical GPV. Like the third egg-passage virus (strain H) of a classical GPV, the third egg-passage virus (strain JS1) of the variant GPV caused Derzsy's disease in 2-day-old goslings with high mortality. The findings suggest that the variant GPV strain, which had specifically adapted to Pekin ducks, still retained high pathogenicity for its original host. The mortality (73.3-80%) caused by the first and third egg-passages of the variant GPV was somewhat lower than that (93.3%) caused by the third passage virus of the classical GPV, reflecting the higher pathogenicity of the classical GPV for its original host. These findings are likely to reinforce the importance of surveillance for parvoviruses in different waterfowl species and stimulate further study to elucidate the impact of mutations in the GPV genome on its pathogenicity to goslings and ducks.
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Affiliation(s)
- Kang Ning
- a Key Laboratory of Animal Epidemiology and Zoonosis of Ministry of Agriculture , College of Veterinary Medicine, China Agricultural University , Beijing , People's Republic of China
| | - Te Liang
- a Key Laboratory of Animal Epidemiology and Zoonosis of Ministry of Agriculture , College of Veterinary Medicine, China Agricultural University , Beijing , People's Republic of China
| | - Minghang Wang
- a Key Laboratory of Animal Epidemiology and Zoonosis of Ministry of Agriculture , College of Veterinary Medicine, China Agricultural University , Beijing , People's Republic of China
| | - Yunhan Dong
- a Key Laboratory of Animal Epidemiology and Zoonosis of Ministry of Agriculture , College of Veterinary Medicine, China Agricultural University , Beijing , People's Republic of China
| | - Shenghua Qu
- a Key Laboratory of Animal Epidemiology and Zoonosis of Ministry of Agriculture , College of Veterinary Medicine, China Agricultural University , Beijing , People's Republic of China
| | - Dabing Zhang
- a Key Laboratory of Animal Epidemiology and Zoonosis of Ministry of Agriculture , College of Veterinary Medicine, China Agricultural University , Beijing , People's Republic of China
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Zhao QY, Yuan FW, Liang T, Liang XC, Luo YR, Jiang M, Qing SZ, Zhang WM. Baicalin inhibits Escherichia coli isolates in bovine mastitic milk and reduces antimicrobial resistance. J Dairy Sci 2018; 101:2415-2422. [PMID: 29290430 DOI: 10.3168/jds.2017-13349] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [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: 06/19/2017] [Accepted: 10/11/2017] [Indexed: 12/17/2022]
Abstract
In this study, we aimed to evaluate the inhibitory effect of baicalin on Escherichia coli in vitro and the effects of baicalin treatment on antimicrobial resistance of the E. coli isolates. Through isolation, purification, and identification, a total of 56 E. coli strains were isolated from 341 mastitic milk samples. The study of inhibition effect of baicalin on the E. coli strains in vitro was focused on permeability and morphology of the isolates using an alkaline phosphatase kit and scanning electron microscopy. Furthermore, the resistance spectrum of the isolates to the common antimicrobial agents was tested at sub-minimum inhibitory concentrations of baicalin by the agar dilution method. Extended-spectrum β-lactamase and plasmid-mediated quinolone resistance genes were amplified by PCR before and after incubation with baicalin. The results revealed that baicalin has certain inhibitory effects on the isolates in vitro. The alkaline phosphatase enzyme activity was significantly increased from 1.246 to 2.377 U/100 mL, and the surface of E. coli was concave and shriveled. Analysis of the resistance spectrum and PCR amplification showed that, after administration with baicalin, the sensitivity of most strains to the selected antimicrobial agents was enhanced. Strikingly, the drug-resistant genes from 71.43% (40/56) of these isolates were found to have drug-resistant genes to different extents. Altogether, the current study confirmed both the inhibitory effect on Escherichia coli in vitro and the reduction of antimicrobial resistance by baicalin. This is the first comprehensive study to report on baicalin, a traditional Chinese medicine that acts on E. coli isolated from the mastitic milk samples.
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Affiliation(s)
- Q Y Zhao
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - F W Yuan
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - T Liang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - X C Liang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Y R Luo
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - M Jiang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - S Z Qing
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China.
| | - W M Zhang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, China.
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Zhang Q, Lu L, Liang T, Liu M, Wang ZL, Zhang PY. MAPK pathway regulated the cardiomyocyte apoptosis in mice with post-infarction heart failure. ACTA ACUST UNITED AC 2017; 118:339-346. [PMID: 28664743 DOI: 10.4149/bll_2017_065] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND To explore the role of the MAPK signaling pathway in the cardiomyocyte apoptosis of mice with post-infarction heart failure (HF). METHODS Mice were divided into sham and myocardial infarction (MI) groups. Before surgery, the MI group was divided into SB203580 and PBS subgroups. A post-infarction HF model was established by ligating the left anterior descending coronary artery. Ventricular dilatation and cardiac function were observed by small animal echocardiography. The growth of primary cardiomyocytes was observed under an inverted phase contrast microscope. The mRNA and protein expressions of endoplasmic reticulum stress (ERS) markers, GRP78 and CHOP, were detected by qRT-PCR and immunofluorescence assay, respectively. RESULTS The MI group had enlarged left ventricle and decreased cardiac function. GRP78 and CHOP protein expressions in myocardial tissues, especially those of SB203580 subgroup, significantly increased (p < 0.05). The expressions of p-JNK and cleaved caspase 12 proteins, especially those of SB203580 subgroup, were significantly up-regulated. Cardiomyocytes of MI group were significantly more prone to apoptosis (p < 0.05), with SB203580 subgroup being more obvious. CONCLUSION MI was accompanied by ERS, probably involving the MAPK signaling pathway. SB203580, a specific inhibitor of this pathway, can relieve cardiomyocyte apoptosis and protect the myocardium by suppressing such stress (Tab. 3, Fig. 7, Ref. 20).
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Wang T, Liu X, Tian Q, Liang T, Chang P. Increasing expression of miR-5100 in non-small-cell lung cancer and correlation with prognosis. Eur Rev Med Pharmacol Sci 2017; 21:3592-3597. [PMID: 28925485] [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] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
OBJECTIVE A previous study indicated that miR-5100 served as a tumor oncogene in lung cancer. However, whether miR-5100 may serve as a novel prognostic marker in non-small cell lung cancer (NSCLC), has not been investigated. The aim of this study was to investigate miR-5100 expression and its clinical significance in NSCLC patients. PATIENTS AND METHODS Expression of miR-5100 was detected in NSCLC tissues and matched normal lung tissues by quantitative Real-time polymerase chain reaction. The correlation between miR-5100 expression and clinical features were statistically analyzed. Survival rate was analyzed by log-rank test, and survival curves were plotted according to Kaplan-Meier. The correlation between miR-5100 expression and prognosis of NSCLC patients was further evaluated by univariate and multivariate analysis. RESULTS As revealed by qRT-PCR analysis, the relative level of miR-5100 expression in NSCLC tissues was significantly upregulated, compared with that in corresponding noncancerous tissues (p < 0.01). Additionally, high miR-5100 expression was statistically associated with higher clinical stage (p < 0.001), N classification (p = 0.003) and M classification (p = 0.027), but lower differentiated degree (p < 0.001). Furthermore, the results of Kaplan-Meier suggested that NSCLC patients with higher miR-5100 expression had significantly poorer overall survival (p < 0.0001) and progression-free survival (p < 0.0001). Multivariate survival analysis verified that miR-5100 expression level was an independent predictor of both overall survival and progression-free survival for NSCLC patients. CONCLUSIONS Our data suggested that up-regulation of miR-5100 was correlated with NSCLC progression, which provided a potential prognostic biomarker and therapeutic target.
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Affiliation(s)
- T Wang
- Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, China.
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