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Yan Q, Liu J, Liu Y, Wen Z, Jin D, Wang F, Gao L. Tumor-associated macrophage-derived exosomal miR21-5p promotes tumor angiogenesis by regulating YAP1/HIF-1α axis in head and neck squamous cell carcinoma. Cell Mol Life Sci 2024; 81:179. [PMID: 38602536 PMCID: PMC11009780 DOI: 10.1007/s00018-024-05210-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/11/2024] [Accepted: 03/15/2024] [Indexed: 04/12/2024]
Abstract
Extracellular vesicles (EVs) have recently received increasing attention as essential mediators of communication between tumor cells and their microenvironments. Tumor-associated macrophages (TAMs) play a proangiogenic role in various tumors, especially head and neck squamous cell carcinoma (HNSCC), and angiogenesis is closely related to tumor growth and metastasis. This research focused on exploring the mechanisms by which EVs derived from TAMs modulate tumor angiogenesis in HNSCC. Our results indicated that TAMs infiltration correlated positively with microvascular density in HNSCC. Then we collected and identified EVs from TAMs. In the microfluidic chip, TAMs derived EVs significantly enhanced the angiogenic potential of pHUVECs and successfully induced the formation of perfusable blood vessels. qPCR and immunofluorescence analyses revealed that EVs from TAMs transferred miR-21-5p to endothelial cells (ECs). And targeting miR-21-5p of TAMs could effectively inhibit TAM-EVs induced angiogenesis. Western blot and tube formation assays showed that miR-21-5p from TAM-EVs downregulated LATS1 and VHL levels but upregulated YAP1 and HIF-1α levels, and the inhibitors of YAP1 and HIF-1α could both reduce the miR-21-5p enhanced angiogenesis in HUVECs. The in vivo experiments further proved that miR-21-5p carried by TAM-EVs promoted the process of tumor angiogenesis via YAP1/HIF-1α axis in HNSCC. Conclusively, TAM-derived EVs transferred miR-21-5p to ECs to target the mRNA of LATS1 and VHL, which inhibited YAP1 phosphorylation and subsequently enhanced YAP1-mediated HIF-1α transcription and reduced VHL-mediated HIF-1α ubiquitination, contributing to angiogenesis in HNSCC. These findings present a novel regulatory mechanism of tumor angiogenesis, and miR-21-5p/YAP1/HIF-1α might be a potential therapeutic target for HNSCC.
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Affiliation(s)
- Quan Yan
- School of Stomatology, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian, 116044, People's Republic of China
- Dalian Key Laboratory of Immune and Oral Development & Regeneration, Dalian Medical University, Dalian, People's Republic of China
| | - Jing Liu
- School of Stomatology, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian, 116044, People's Republic of China
- Dalian Key Laboratory of Immune and Oral Development & Regeneration, Dalian Medical University, Dalian, People's Republic of China
| | - Yiding Liu
- School of Stomatology, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian, 116044, People's Republic of China
- Dalian Key Laboratory of Immune and Oral Development & Regeneration, Dalian Medical University, Dalian, People's Republic of China
| | - Zhihao Wen
- School of Stomatology, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian, 116044, People's Republic of China
- Dalian Key Laboratory of Immune and Oral Development & Regeneration, Dalian Medical University, Dalian, People's Republic of China
| | - Dong Jin
- School of Stomatology, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian, 116044, People's Republic of China
- Dalian Key Laboratory of Immune and Oral Development & Regeneration, Dalian Medical University, Dalian, People's Republic of China
| | - Fu Wang
- School of Stomatology, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian, 116044, People's Republic of China.
- Dalian Key Laboratory of Immune and Oral Development & Regeneration, Dalian Medical University, Dalian, People's Republic of China.
- The Affiliated Stomatological Hospital of Dalian Medical University, Dalian, People's Republic of China.
| | - Lu Gao
- School of Stomatology, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian, 116044, People's Republic of China.
- Dalian Key Laboratory of Immune and Oral Development & Regeneration, Dalian Medical University, Dalian, People's Republic of China.
- The Affiliated Stomatological Hospital of Dalian Medical University, Dalian, People's Republic of China.
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Liu C, He Z, Kong M, Jin D. Development of a duplex droplet digital PCR assay for the detection of Burkholderia cepacia complex and Stenotrophomonas maltophilia in bloodstream infections. Microbiol Spectr 2024; 12:e0356923. [PMID: 38411052 DOI: 10.1128/spectrum.03569-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/03/2024] [Indexed: 02/28/2024] Open
Abstract
Burkholderia cepacia complex (BCC) and Stenotrophomonas maltophilia are nosocomial pathogens that cause various infections and exhibit high resistance to multiple antimicrobial agents. In this study, we aimed to develop a duplex droplet digital PCR (ddPCR) assay for detecting BCC and S. maltophilia in bloodstream infections. We optimized the experimental conditions by setting the annealing temperature to 51°C and determining the optimal concentrations of primers and probes, as well as the thermal cycle numbers. The feasibility of the duplex ddPCR reaction system with the optimal conditions was established and verified through parallel reactions with reference strains of BCC and S. maltophilia. The specificity of the assay, tested with 33 reference strains, was found to be 100%. The duplex ddPCR assay demonstrated good repeatability and could detect as low as 5.35 copies/reaction of BCC and 7.67 copies/reaction of S. maltophilia. This level of sensitivity was consistent in the simulated blood and blood bottle samples. We compared nucleic acid extraction methods and found that the Chelex-100 boiling method and kit extraction method exhibited similar detection sensitivity, suggesting the potential application of the Chelex-100 boiling method in the ddPCR assay. In the clinical samples, the duplex ddPCR assay accurately detected BCC and S. maltophilia in 58 cases. In conclusion, our study successfully developed a duplex ddPCR assay that provides accurate and convenient detection of BCC and S. maltophilia in bloodstream infections.IMPORTANCEBurkholderia cepacia complex (BCC) and Stenotrophomonas maltophilia are implicated in a wide range of infections, including bloodstream infections (BSIs), pneumonia, and meningitis, and often exhibit high intrinsic resistance to multiple antimicrobial agents, limiting therapeutic options. The gold standard for diagnosing bloodstream infections remains blood culture. However, current blood culture detection and positivity rates do not meet the "rapid diagnosis" required for the diagnosis and treatment of critically ill patients with BSIs. The digital droplet PCR (ddPCR) method is a potentially more powerful tool in the diagnosis of BSIs compared to other molecular methods due to its greater sensitivity, specificity, accuracy, and reproducibility. In this study, a duplex ddPCR assay for the detection of BCC and S. maltophilia in BSIs was developed.
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Affiliation(s)
- Chunmei Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ziqiang He
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mimi Kong
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dong Jin
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Hebei Key Laboratory of Intractable Pathogens, Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang, Hebei, China
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Gong J, Wang FF, Liu YQ, Pu J, Dong LZ, Zhang SH, Huang ZZ, Huang YY, Li YB, Yang CX, Tao YM, Zhao LJ, Jin D, Liu LY, Yang J, Lu S. Species-level Microbiota of Biting Midges and Ticks from Poyang Lake. Biomed Environ Sci 2024; 37:266-277. [PMID: 38582991 DOI: 10.3967/bes2024.030] [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] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/10/2023] [Indexed: 04/08/2024]
Abstract
Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area, namely, Qunlu Practice Base, Peach Blossom Garden, and Huangtong Animal Husbandry, and whether vectors carry any bacterial pathogens that may cause diseases to humans, to provide scientific basis for prospective pathogen discovery and disease prevention and control. Methods Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit (OPU) analysis, we characterized the species-level microbial community structure of two important vector species, biting midges and ticks, including 33 arthropod samples comprising 3,885 individuals, collected around Poyang Lake. Results A total of 662 OPUs were classified in biting midges, including 195 known species and 373 potentially new species, and 618 OPUs were classified in ticks, including 217 known species and 326 potentially new species. Surprisingly, OPUs with potentially pathogenicity were detected in both arthropod vectors, with 66 known species of biting midges reported to carry potential pathogens, including Asaia lannensis and Rickettsia bellii, compared to 50 in ticks, such as Acinetobacter lwoffii and Staphylococcus sciuri. We found that Proteobacteria was the most dominant group in both midges and ticks. Furthermore, the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant bacteria. Pantoea sp7 was predominant in biting midges, while Coxiella sp1 was enriched in ticks. Meanwhile, Coxiella spp., which may be essential for the survival of Haemaphysalis longicornis Neumann, were detected in all tick samples. The identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod vectors. Conclusion Biting midges and ticks carry large numbers of known and potentially novel bacteria, and carry a wide range of potentially pathogenic bacteria, which may pose a risk of infection to humans and animals. The microbial communities of midges and ticks tend to be dominated by a few highly abundant bacteria.
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Affiliation(s)
- Jian Gong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Fei Fei Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yang Qing Liu
- Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang 330038, Jiangxi, China
| | - Ji Pu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Ling Zhi Dong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Si Hui Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zhen Zhou Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yu Yuan Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Ya Ben Li
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Cai Xin Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yuan Meihui Tao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Li Jun Zhao
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Dong Jin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Li Yun Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jing Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Shan Lu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, China
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Wang J, Zhang H, Jin D, Han JQ, Fu JW, Zhu Q, Xie LH. Charge-Localized Retention and Long-Term Memory Enabled by Cooperating Sterically Confined Molecular Crystallization with Spiro[fluorene-9,9'-xanthene]-Based C sp3-Hindrance. J Phys Chem Lett 2024:2772-2780. [PMID: 38437178 DOI: 10.1021/acs.jpclett.4c00074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
Charge localization of memory materials plays a crucial role in the endurance and retention ability of organic nonvolatile memory, which is completely opposite from the charge delocalization of high-mobility materials. However, charge transfer of both though-space and through-bond based on molecular design principles still faces challenges. Herein, a nonplanar wide-bandgap semiconductor with Csp3-hindrance (DOCH3-DDPA-SFX) has been designed and synthesized. An effective crystallization effect of self-assembled two-dimensional nanosheets on charge trapping dynamics and kinetics is visualized by Kelvin probe force microscopy (KPFM). The trapped charges are localized completely on a single nanosheet, which has better charge trapping and retention properties than an amorphous film. Meanwhile, crystallization also greatly improves structure stability. Combining DFT theoretical calculations, the mechanisms of localization and long-term retention are discussed. The steric crystallization effects on the charge localization will guide the effective design of single-component semiconducting charge-memory materials by molecular assembly and aggregate control for high-performance organic memory.
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Affiliation(s)
- Jin Wang
- Center for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NJUPT), Nanjing 210023, China
| | - He Zhang
- Center for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NJUPT), Nanjing 210023, China
| | - Dong Jin
- Center for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NJUPT), Nanjing 210023, China
| | - Jun-Qi Han
- Center for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NJUPT), Nanjing 210023, China
| | - Jing-Wei Fu
- Center for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NJUPT), Nanjing 210023, China
| | - Qin Zhu
- Center for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NJUPT), Nanjing 210023, China
| | - Ling-Hai Xie
- Center for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics & Information Displays (KLOEID) and Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NJUPT), Nanjing 210023, China
- School of Flexible Electronics (SoFE) and Henan Institute of Flexible Electronics (HIFE), Henan University, 379 Mingli Road, Zhengzhou 450046, China
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Zhao Z, Cao B, Zhao B, Chen S, Jin D. Study on the Effect of Polyamine Water Treatment Agent on Metal Corrosion Inhibition in Boiler Steam-Water System. Materials (Basel) 2024; 17:1063. [PMID: 38473534 DOI: 10.3390/ma17051063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 03/14/2024]
Abstract
A polyamine water treatment agent was prepared with the film-forming amine (N-oleyl-1,3-propylenediamine) and the neutralizing amine (cyclohexanamine) under optimal conditions. The copper sulfate liquid drop experiment showed that a protective film was formed by the polyamine water treatment agent on carbon steel. The analyses of the polarization curve and electrochemical impedance spectroscopy of carbon steel indicated that the polyamine water treatment agent exhibited geometric effects, which could inhibit both anode and cathode reactions of carbon steel, and the corrosion inhibition effect of the polyamine water treatment agent showed an extreme-concentration phenomenon. A metal corrosion experiment in a simulated boiler steam-water system indicated that the polyamine water treatment agent mitigated the corrosion of carbon steel at different temperatures, and the corrosion inhibition rates of the polyamine water treatment agent in liquid and gas environments at 150 °C were 53.84% and 67.43%, respectively, better than that at 350 °C. SEM-EDS characterization indicated that the formation of the corrosion product, iron oxide, on the carbon steel was reduced with the addition of the polyamine water treatment agent in the simulated boiler steam-water system.
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Affiliation(s)
- Zhijuan Zhao
- Key Laboratory of Special Equipment Safety and Energy-Saving for State Market Regulation, China Special Equipment Inspection & Research Institute, Beijing 100029, China
| | - Bingqing Cao
- Key Laboratory of Special Equipment Safety and Energy-Saving for State Market Regulation, China Special Equipment Inspection & Research Institute, Beijing 100029, China
| | - Bo Zhao
- Key Laboratory of Special Equipment Safety and Energy-Saving for State Market Regulation, China Special Equipment Inspection & Research Institute, Beijing 100029, China
| | - Sheng Chen
- Key Laboratory of Special Equipment Safety and Energy-Saving for State Market Regulation, China Special Equipment Inspection & Research Institute, Beijing 100029, China
| | - Dong Jin
- Key Laboratory of Special Equipment Safety and Energy-Saving for State Market Regulation, China Special Equipment Inspection & Research Institute, Beijing 100029, China
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Jin D, Hui Y, Liu D, Li N, Leng J, Wang G, Wang Q, Lu Z. LINC00942 inhibits ferroptosis and induces the immunosuppression of regulatory T cells by recruiting IGF2BP3/SLC7A11 in hepatocellular carcinoma. Funct Integr Genomics 2024; 24:29. [PMID: 38353724 PMCID: PMC10867055 DOI: 10.1007/s10142-024-01292-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 02/16/2024]
Abstract
Hepatocellular carcinoma (HCC) is a common malignant tumor with a high recurrence rate and a poor prognosis. Long intergenic nonprotein coding RNA 942 (LINC00942) is reported to be related to ferroptosis and the immune response in HCC and serves as an oncogene in various cancers. This research aimed to explore the contribution of LINC00942 in HCC progression. Functional assays were used to evaluate the functional role of LINC00942 in vitro and in vivo. Mechanistic assays were conducted to assess the association of LINC00942 with insulin-like growth factor 2 mRNA binding protein 3 (IGF2BP3) and solute carrier family 7 member 11 (SLC7A11) and the regulatory pattern of LINC00942 in HCC cells. LINC00942 was found to exhibit upregulation in HCC tissue and cells. LINC00942 facilitated HCC cell proliferation, suppressed ferroptosis, and converted naive CD4+ T cells to inducible Treg (iTreg) cells by regulating SLC7A11. Furthermore, SLC7A11 expression was positively modulated by LINC00942 in HCC cells. IGF2BP3 was a shared RNA-binding protein (RBP) for LINC00942 and SLC7A11. The binding between the SLC7A11 3' untranslated region and IGF2BP3 was verified, and LINC00942 was found to recruit IGF2BP3 to promote SLC7A11 mRNA stability in an m6A-dependent manner. Moreover, mouse tumor growth and proliferation were inhibited, and the number of FOXP3+CD25+ T cells was increased, while ferroptosis was enhanced after LINC00942 knockdown in vivo. LINC00942 suppresses ferroptosis and induces Treg immunosuppression in HCC by recruiting IGF2BP3 to enhance SLC7A11 mRNA stability, which may provide novel therapeutic targets for HCC.
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Affiliation(s)
- Dong Jin
- Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Yongfeng Hui
- Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Di Liu
- Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Nan Li
- Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Junzhi Leng
- Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Genwang Wang
- Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Qi Wang
- Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, Ningxia, China.
| | - Zhenhui Lu
- Department of Hepatobiliary Surgery, Shekou Shenzhen People's Hospital, 36 Shekou Industrial 7 Road, Nanshan District, Shenzhen, 518067, Guangdong, China.
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Tao X, Zhu JY, Xu ZQ, Wu QJ, Jin D, Zhang Y, Luo Y, Huang WX. [A case analysis of multidisciplinary treatment for a patient with esthetic defects of upper anterior teeth with the aid of digital technology]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:1296-1299. [PMID: 38061873 DOI: 10.3760/cma.j.cn112144-20230816-00085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- X Tao
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - J Y Zhu
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Z Q Xu
- Department of Digital Clinical Department, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Q J Wu
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - D Jin
- Department of Digital Clinical Department, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Y Zhang
- Department of Prosthodontics, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - Y Luo
- Department of Digital Clinical Department, Stomatological Hospital of Xiamen Medical College & Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
| | - W X Huang
- Department of Periodontics, Stomatological Hospital of Xiamen Medical College, Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Xiamen 361009, China
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Zhang G, Cheng Y, Li W, Chen Y, Yang J, Jin D, Lu S, Xu J. Arthrobacter zhaoxinii sp. nov. and Arthrobacter jinronghuae sp. nov., isolated from Marmota himalayana. Int J Syst Evol Microbiol 2023; 73. [PMID: 38018813 DOI: 10.1099/ijsem.0.006168] [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: 11/30/2023] Open
Abstract
Four yellow-coloured strains (zg-Y815T/zg-Y108 and zg-Y859T/zg-Y826) were isolated from the intestinal contents of Marmota himalayana and assigned to the 'Arthrobacter citreus group'. The four strains grew optimally on brain heart infusion agar with 5 % defibrinated sheep blood plate at 30 °C, pH 7.0 and with 0.5 % NaCl (w/v). Comparative analysis of their 16S rRNA genes indicated that the two strain pairs belong to the genus Arthrobacter, showing the highest similarity to Arthrobacter yangruifuii 785T (99.52 %), which was further confirmed by the 16S rRNA gene and genome-based phylogenetic analysis. The comparative genomic analysis [digital DNA-DNA hybridization, (dDDH) and average nucleotide identity (ANI)] proved that the four strains are two different species (zg-Y815T/zg-Y108, 71.7 %/96.8 %; zg-Y859T/zg-Y826, 87.3 %/98.5 %) and differ from other known species within the genus Arthrobacter (zg-Y815T, 19.6-32.3 %/77.2-88.0 %; zg-Y859T, 19.5-29.3 %/77.4-86.3 %). Strain pairs zg-Y815T/zg-Y108 and zg-Y859T/zg-Y826 had the same major cellular fatty acids (iso-C16 : 0 and anteiso-C15 : 0), with MK-8(H2) as their dominant respiratory quinone (70.6 and 61.7 %, respectively). The leading polar lipids were diphosphatidylglycerol, phosphatidylglycerol, and phosphatidylinositol. The detected amino acids and cell-wall sugars of the two new species were identical (amino acids: alanine, glutamic acid, and lysine; sugars: rhamnose, galactose, mannose, glucose, and ribose). According to the phylogenetic, phenotypic, and chemotaxonomic analyses, we concluded that the four new strains represented two different novel species in the genus Arthrobacter, for which the names Arthrobacter zhaoxinii sp. nov. (zg-Y815T= GDMCC 1.3494T = JCM 35821T) and Arthrobacter jinronghuae sp. nov. (zg-Y859T = GDMCC 1.3493T = JCM 35822T) are proposed.
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Affiliation(s)
- Gui Zhang
- Department of Infection Control, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, PR China
| | - Yanpeng Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, PR China
| | - Weiguang Li
- Department of Infection Control, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China
| | - Yulu Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, PR China
| | - Jing Yang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Dong Jin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Shan Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Jianguo Xu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Institute of Public Health, Nankai University, Tianjin 300071, PR China
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Ye L, Zhang G, Yang J, Yang C, Liu Y, Pu J, Huang Y, Zhang S, Jin D, Lu S, Liu L, Xu J. Taxonomic descriptions of Aeromicrobium duanguangcaii sp. nov., Aeromicrobium wangtongii sp. nov. and Aeromicrobium senzhongii sp. nov. Int J Syst Evol Microbiol 2023; 73. [PMID: 37917124 DOI: 10.1099/ijsem.0.006118] [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: 11/03/2023] Open
Abstract
Six Gram-stain-positive, facultative anaerobic, nonmotile and rod-shaped strains, designated zg-Y50T, zg-Y1362, zg-Y1379T, zg-Y869, zg-629T and zg-Y636, were isolated from the intestinal contents of Marmota himalayana in Qinghai Province, PR China. Strains zg-Y50T, zg-Y1379T and zg-629T exhibited the highest 16S rRNA gene sequence similarities of 99.2, 98.9 and 98.8 % to Aeromicrobium choanae 9 H-4T, Aeromicrobium ginsengisoli JCM 14732T and Aeromicrobium flavum TYLN1T, respectively. Phylogenetic and phylogenomic analyses based on the 16S rRNA gene and genomic sequences, respectively, revealed that the six strains formed three distinct clades within the genus Aeromicrobium. The genome sizes of strains zg-Y50T, zg-Y1379T and zg-629T were 3.1-3.7 Mb, with DNA G+C contents of 69.6-70.4 mol%. Average nucleotide identity and digital DNA-DNA hybridization values between each novel strain and available members of the genus Aeromicrobium were all below species thresholds. All novel strains contained MK-9 (H4) as the major menaquinone and diphosphatidylglycerol, phosphatidylglycerol and phosphatidylinositol as the polar lipids. The predominant fatty acid of the six isolates was C18 : 1 ω9c. The cell-wall peptidoglycan contained ʟʟ-diaminopimelic acid as the diagnostic diamino acid. Based on the results from this polyphasic taxonomic study, three novel species in the genus Aeromicrobium are proposed, namely, Aeromicrobium duanguangcaii sp. nov. (zg-Y50T=GDMCC 1.2981T=KCTC 49764T), Aeromicrobium wangtongii sp. nov. (zg-Y1379T=GDMCC 1.2982T=KCTC 49765T) and Aeromicrobium senzhongii sp. nov. (zg-629T=CGMCC 1.17414T=JCM 33888T).
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Affiliation(s)
- Lin Ye
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Endocrinology, The second hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Gui Zhang
- Infection Management Office, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China
| | - Jing Yang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Caixin Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Yue Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Ji Pu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Yuyuan Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Sihui Zhang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, 38th Xueyuan Road, Haidian District, Beijing 100191, PR China
| | - Dong Jin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Shan Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Liyun Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Jianguo Xu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, 38th Xueyuan Road, Haidian District, Beijing 100191, PR China
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Zhao L, Yang C, Chen M, Zhang J, Kong M, Dong L, Gong J, Yang J, Pu J, Lu S, Jin D, Liu L, Wang S, Xu J. Marnyiella aurantia, gen. nov., sp. nov., a novel bacterial species of the family Weeksellaceae that could produce flexirubin type pigments. Int J Syst Evol Microbiol 2023; 73. [PMID: 37906507 DOI: 10.1099/ijsem.0.006020] [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: 11/02/2023] Open
Abstract
Two Gram-stain-negative, non-spore-forming, rod-shaped, and obligately aerobic bacteria, designated strains CX-624T and cx-311, were isolated from soil samples in Qinghai Province, China. The two strains grew best at 28 °C on the plate with Tryptone soya agar (TSA). Cells formed circular, convex, translucent, smooth, and orange colonies with approximately 1.0 mm diameter after 2 days of incubation on TSA at 28 °C. The strains were oxidase-negative and catalase-positive. The predominant cellular fatty acids were iso-C15 : 0 and anteiso-C15 : 0, and major polar lipids included phosphatidylethanolamine, an unidentified aminophospholipid, four unidentified lipids and an aminolipid. MK-6 was the sole menaquinone in strain CX-624T. Comparative analysis of the nearly full-length 16S rRNA gene sequences showed strains CX-624T and cx-311 were member of the family Weeksellaceae, with the highest similarity to Kaistella haifensis H38T (96.66 %), Epilithonimonas pallida DSM 18015T (96.59 %), and Chryseobacterium gambrini DSM 18014T (96.53 %). Both phylogenetic analysis of the 16S rRNA gene and 177 core genes revealed that strains CX-624T and cx-311 formed an independent clade. Average nucleotide identity values (< 72.64 %), average amino-acid identity values (<72.61 %) and digital DNA-DNA hybridization (< 21.10 %) indicated that the strains CX-624T and cx-311 should constitute a novel genus. The DNA G+C contents of strains CX-624T and cx-311 were 43.0 mol% and 42.7 mol%. According to the data obtained in this study, strain CX-624T represents a novel species belonging to a novel genus of the Weeksellaceae, for which the name Marnyiella aurantia gen. nov., sp. nov. is proposed. The type strain is CX-624T (=GDMCC 1.1714T = JCM 33925T).
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Affiliation(s)
- Lijun Zhao
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Caixin Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Mengshan Chen
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jing Zhang
- Marine College, Shandong University, Weihai, PR China
| | - Mimi Kong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Lingzhi Dong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jian Gong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Suping Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
| | - Jianguo Xu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Institute of Public Health, Nankai University, Tianjin 300350, PR China
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11
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Zhang Y, Ye X, Ge J, Guo D, Zheng D, Yu H, Chen Y, Yao G, Lu Z, Yuille A, Lu L, Jin D, Yan S. Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e498. [PMID: 37785566 DOI: 10.1016/j.ijrobp.2023.06.1739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The delineation of primary gross tumor volume (GTV) of nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical practice, radiation oncologists manually delineate the GTV in planning CT with the help of diagnostic MRI. This is because NPC tumors are closely adjacent to many important anatomic structures, and CT and MRI provide complementary strength to accurately determine the tumor extension boundary. Manual delineation is time-consuming with the potential registration errors between MRI and CT decreasing the delineation accuracy. In this study, we propose a fully automated GTV segmentation method based on CT and MRI by first aligning MRI to CT, and then, segmenting the GTV using a multi-modality deep learning model. MATERIALS/METHODS We collected 104 nasopharyngeal carcinoma patients with both planning CT and diagnostic MRI scans (T1 & T2 phases). An experienced radiation oncologists manually delineated the GTV, which was further examined by another senior radiation oncologist. Then, a coarse to fine cross-modality registration from MRI to CT was conducted as follows: (1) A rigid transformation was performed on MRI to roughly align MRI to CT with similar anatomic position. (2) Then, the region of interest (RoI) on both CT and rigid-transformed MRI were cropped. (3) A leading cross-modality deformable registration algorithm, named DEEDS, was applied on the cropped MRI and CT RoIs to find an accurate local alignment. Next, using CT and registered MRI as the combined input, a multi-modality deep segmentation network based on nnUNet was trained to generate the GTV prediction. 20% patients were randomly selected as the unseen testing set to quantitatively evaluate the performance. RESULTS The quantitative NPC GTV segmentation performance is summarized in Table 1. The deep segmentation model using CT alone achieved reasonable high performance with 76.6% Dice score and 1.34mm average surface distance (ASD). When both CT and registered MRI were used, the segmentation model further improved the performance by 0.9% Dice score increase and 11% relative ASD error reduction, demonstrating the complementary strength of CT and MRI in determining NPC GTV. Notably, the achieved 77.5% Dice score and 1.19mm ASD by the multimodality model is among the top performing results reported in recent automatic NPC GTV segmentation using either CT or MRI modality. CONCLUSION We developed a fully automated multi-modal deep-learning model for NPC GTV segmentation. The developed model can segment the NPC GTV in high accuracy. With further optimization and validation, this automated model has potential to standardize the NPC GTV segmentation and significantly decrease the workload of radiation oncologists in clinical practice.
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Affiliation(s)
- Y Zhang
- Johns Hopkins University, Baltimore, MD
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - A Yuille
- Johns Hopkins University, Baltimore, MD
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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12
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Liu Y, Xu Z, Zhao Y, Yi X, Qin Q, Jin D, He C, Wu X, Zhou Q, Liu Y, Tao H. The application and effect of predictive nursing in the prevention of accidental events during operations for SMI patients. Arch Psychiatr Nurs 2023; 46:71-75. [PMID: 37813507 DOI: 10.1016/j.apnu.2023.08.001] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 07/12/2023] [Accepted: 08/10/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE To explore the status and influencing factors of job burnout among psychiatric nurses and provide a reference for hospital managers to carry out occupational and psychological interventions. METHODS Between September 2021 and September 2022, the psychiatric nurses in Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital) were selected as research participants using convenience sampling. The Chinese version of the nursing burnout scale was used to investigate the psychiatric nurses in the hospital, and a multiple linear regression analysis was performed on the factors affecting job burnout. RESULTS Among the 121 psychiatric nurses, 57.85 % had no or only mild job burnout, 36.36 % had mild to moderate job burnout and 5.79 % had severe job burnout. The one-way analysis of variance indicated that there were statistical differences in the scores in terms of marital status, educational background, working years, income, work departments and shifts (p < 0.05). The multiple linear regression analysis indicated that the main influencing factors of job burnout were working years and work department (p < 0.05). CONCLUSION The detection rate of nurses' job burnout in the featured psychiatric hospital was 42.10 %. The main influencing factors of job burnout were working years and work department, and targeted intervention can be carried out according to these two factors.
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Affiliation(s)
- Yanqin Liu
- Operating room, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Zhengqing Xu
- Department of Childhood psychology, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Yunqing Zhao
- Department of general surgery, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Xianyun Yi
- Operating room, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Qin Qin
- Operating room, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Dong Jin
- Operating room, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Chengjie He
- Operating room, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Xianghong Wu
- Operating room, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Qing Zhou
- Operating room, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
| | - Yunqin Liu
- Department 4 of psychiatry, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China.
| | - Hongbo Tao
- Department of Anesthesiology, Wuhan Wudong hospital (Wuhan second psychiatric hospital), China
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13
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Wang Y, Zhu J, Guo D, Yan K, Lu L, Wang S, Jin D, Ye X, Wang Q. Deep Learning for Automatic Prediction of Lymph Node Station Metastasis in Esophageal Cancer Patients from Contrast-Enhanced CT. Int J Radiat Oncol Biol Phys 2023; 117:S55. [PMID: 37784523 DOI: 10.1016/j.ijrobp.2023.06.347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The diagnosis of lymph node (LN) metastasis in computed tomography (CT) is an essential yet challenging task in esophageal cancer staging and treatment planning. Although criteria (e.g., RECIST, morphological/texture features) are proposed to predict LN metastasis, the diagnostic accuracy remains low with sensitivity <50% and specificity <75%, as reported in previous studies. Deep learning (DL) has the potential to address this issue by learning from large-scale labeled data. However, due to the practical surgery procedure in lymph node dissection, it is difficult to pair the metastasis of individual LN reported in the pathology report to the LN instance found in the CT image. Hence, in this study, we first use pathology reports to determine the LNS metastasis, then develop a multiple instance deep learning (MIDL) model to predict lymph node station (LNS) metastasis. MATERIALS/METHODS We collected 1200 esophageal cancer patients with preoperative contrast-enhanced CT before surgery. A recently developed automatic mediastinal LNS segmentation model was first applied to segment LNS of 1 to 8 based on the IASLC protocol. For each LNS, the local CT region of interest (ROI) was cropped to generate a station-wise CT patch, where the LNS was labeled as metastatic if at least one metastatic LN was indicated in the pathology report. Using the station-wise CT patch and LNS label, we train a 3D MIDL model, MobileNetV3, to predict LNS metastasis. To better provide the LN position priors in MIDL, LN instances (with a short axis >4mm) were also segmented using an automatic LN detection algorithm and were added to the MIDL model as an auxiliary input. Five-fold cross-validation was conducted to evaluate the MIDL performance. RESULTS The MIDL model's performance is summarized in Table 1. The MIDL model incorporating an additional LN instance mask demonstrated a superior overall AUC of 0.7539, surpassing the model without the LN mask input by 2.93%. The specificity was evaluated at a threshold resulting in a recall of 0.7, and the best model outperformed the CT input model in terms of specificity by 2.11%. This highlights the value of including the LN position prior to the MIDL model. Notably, when a threshold was set to result in a specificity of 75%, the best MIDL model demonstrated a significantly higher recall compared to the previously reported clinical diagnostic recall (39.7% vs. 63.21%). CONCLUSION We developed a MIDL classification model to predict LNS metastasis using CT scans of 1200 patients. Our findings suggest that the MIDL model can substantially improve LNS metastasis prediction and has the potential to play an essential role in cancer staging, treatment planning, and prognostic analysis.
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Affiliation(s)
- Y Wang
- Alibaba Group (US) Inc., New York, NY
| | - J Zhu
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - K Yan
- Alibaba DAMO Academy, Beijing, China
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - S Wang
- School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Q Wang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
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14
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Wang P, Ge J, Zheng D, Zhu X, Liu J, Wu Y, Lu L, Yan S, Jin D, Ye X. Anatomy-Guided Deep Learning Model for Accurate and Robust Gross Tumor Volume Segmentation in Lung Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e71. [PMID: 37786077 DOI: 10.1016/j.ijrobp.2023.06.803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) In lung cancer radiation therapy, clinicians must outline the gross tumor volume (GTV) precisely on the planning computed tomography (pCT) for accurate radiation dose delivery. However, due to the limited contrast between tumor and normal tissues in lung parenchyma, accurate delineation of tumor boundaries is difficult leading to large inter-observer variation. In this study, we develop an anatomy-guided lung GTV deep segmentation model using a training cohort of multi-center datasets. The quantitative segmentation performance is evaluated on an independent dataset, where the inter-observer delineation variation is also assessed. MATERIALS/METHODS We collected and curated four publicly available lung datasets with GTV annotations (Lung-PET-CT-Dx, LIDC-IDRI, NSCLC-Radiogenomics and RIDER-CT) for deep learning model development. A total of 871 CT scans of patients, who were diagnosed with T1-T4 NSCLC, were available for training after data curation. The GTV annotations of primary tumor were examined and edited by two experienced radiation oncologists following the RTOG 1106 protocol. An anatomy-guided deep learning model was proposed, which consisted two deep networks. The first deep network used CT scan as input and segmented 4 anatomic organs (airway, heart, pulmonary artery and pulmonary vein), while the second deep network took both CT scan and these pre-segmented 4 organs as input and segmented the lung GTV. With the help of anatomic priors from 4 pre-segmented organs, the second deep network could more easily locate the GTV. We used nnUNet as the deep segmentation network. For evaluation, we used NSCLC-Radiomics as the testing dataset, which contains 20 CT scans each annotated by 5 radiation oncologists. The auto-segmented GTV were compared against each of the manual GTV reference. Inter-observer variation was also assessed using the 5 manual GTV references. RESULTS The proposed anatomic-guided lung GTV segmentation model achieved a mean Dice score of 82.4% and 95% Hausdorff distance (HD95) of 6.9mm when averaged cross 20 patients and 5 GTV references (Table 1), which outperformed the basic deep GTV segmentation model by markedly reducing 19.4% HD95 error. The performance of proposed model was also comparable to the inter-observer variation (Dice score: 82.4% vs. 81.9%, HD95 6.9 vs. 6.4mm), indicating that our model had similar reproducibility as human observers. CONCLUSION We developed and tested an anatomy-guided deep learning model for segmenting GTV in NSCLC patients. The model achieves high quantitative segmentation performance, which is comparable to the human observer variation. It can be potentially used in radiotherapy practice to improve GTV delineation consistency and reduce workloads of radiation oncologists.
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Affiliation(s)
- P Wang
- Alibaba DAMO Academy, Hangzhou, Zhejiang, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Zhu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - J Liu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Y Wu
- The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Li XY, Liu SH, Liu C, Zu HM, Guo XQ, Xiang HL, Huang Y, Yan ZL, Li YJ, Sun J, Song RX, Yan JQ, Ye Q, Liu F, Huang L, Meng FP, Zhang XN, Yang SS, Hu SJ, Ruan JG, Li YL, Wang NN, Cui HP, Wang YM, Lei C, Wang QH, Tian HL, Qu ZS, Yuan M, Shi RC, Yang XT, Jin D, Su D, Liu YJ, Chen Y, Xia YX, Li YZ, Yang QH, Li H, Zhao XL, Tian ZM, Yu HJ, Zhang XJ, Wu CX, Wu ZJ, Li SS, Shen Q, Liu XM, Hu JP, Wu MQ, Dang T, Wang J, Meng XM, Wang HY, Jiang ZY, Liu YY, Liu Y, Qu SX, Tao H, Yan DM, Liu J, Fu W, Yu J, Wang FS, Qi XL, Fu JL. [Impact of different diagnostic criteria for assessing mild micro-hepatic encephalopathy in liver cirrhosis: an analysis based on a prospective, multicenter, real-world study]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:961-968. [PMID: 37872092 DOI: 10.3760/cma.j.cn501113-20220602-00298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Objective: To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test. Methods: This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ (2) test. A kappa test was used to compare the consistency between groups. Results: After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea (Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences (P < 0.001). Conclusion: The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.
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Affiliation(s)
- X Y Li
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - S H Liu
- The First School of Clinical Medicine of Lanzhou University, Lanzhou 730000, China
| | - C Liu
- Department of Radiology, Affiliated Zhongda Hospital, Southeast University, Nanjing 210000, China
| | - H M Zu
- Department of Gastroenterology, Qinghai Provincial Fourth People's Hospital, Xining 810000, China
| | - X Q Guo
- Department of Hepatology, the Third People's Hospital of Taiyuan, Taiyuan 030000, China
| | - H L Xiang
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - Y Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha 410000, China
| | - Z L Yan
- Department of Gastroenterology, Qinghai Provincial Fourth People's Hospital, Xining 810000, China
| | - Y J Li
- Department of Gastroenterology, Qinghai Provincial Fourth People's Hospital, Xining 810000, China
| | - J Sun
- Department of Hepatology, the Third People's Hospital of Taiyuan, Taiyuan 030000, China
| | - R X Song
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - J Q Yan
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - Q Ye
- Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Institute of Hepatobiliary Disease, Tianjin 300000, China
| | - F Liu
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha 410000, China
| | - L Huang
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - F P Meng
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - X N Zhang
- Medical School of Chinese PLA, Beijing 100853, China
| | - S S Yang
- Department of Gastroenterology, General Hospital of Ningxia Medical University, Yinchuan 750000, China
| | - S J Hu
- Department of Gastroenterology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan 750000, China
| | - J G Ruan
- Branch Hospital for Diseases of the Heart, Brain, and Blood Vessels of General Hospital of Ningxia Medical University, Yinchuan 750000, China
| | - Y L Li
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - N N Wang
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - H P Cui
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - Y M Wang
- Department of Gastroenterology, the First Affiliated Hospital of China Medical University, Shenyang 110000, China
| | - C Lei
- Department of Hepatology, the First People's Hospital of Changde City, Changde 415000, China
| | - Q H Wang
- Department of Hepatology, the First People's Hospital of Changde City, Changde 415000, China
| | - H L Tian
- Department of Hepatology, the First People's Hospital of Changde City, Changde 415000, China
| | - Z S Qu
- Department of Infectious Diseases, Xiangxi People's Hospital, Jishou 416000, China
| | - M Yuan
- Department of Infectious Diseases, Xiangxi People's Hospital, Jishou 416000, China
| | - R C Shi
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - X T Yang
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - D Jin
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - D Su
- Department of Gastroenterology, Wuzhong People's Hospital, Wuzhong 751100, China
| | - Y J Liu
- Department of Hepatology, Hunan Provinces Directly Affiliated Traditional Chinese Medicine Hospital, Zhuzhou 412000, China
| | - Y Chen
- Department of Hepatology, Hunan Provinces Directly Affiliated Traditional Chinese Medicine Hospital, Zhuzhou 412000, China
| | - Y X Xia
- Department of Hepatology, Hunan Provinces Directly Affiliated Traditional Chinese Medicine Hospital, Zhuzhou 412000, China
| | - Y Z Li
- Department of Infectious Diseases, the First People's Hospital, Huaihua City, Huaihua 418000, China
| | - Q H Yang
- Department of Infectious Diseases, the First People's Hospital, Huaihua City, Huaihua 418000, China
| | - H Li
- Department of Infectious Diseases, the First People's Hospital, Huaihua City, Huaihua 418000, China
| | - X L Zhao
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - Z M Tian
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - H J Yu
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - X J Zhang
- Department of Hepatology, Chongqing Public Health Medical Center, Chongqing 400000, China
| | - C X Wu
- Liver Disease Diagnosis and Treatment Center, the Fourth People's Hospital of Yiyang City, Yiyang 413000, China
| | - Z J Wu
- Liver Disease Diagnosis and Treatment Center, the Fourth People's Hospital of Yiyang City, Yiyang 413000, China
| | - S S Li
- Liver Disease Diagnosis and Treatment Center, the Fourth People's Hospital of Yiyang City, Yiyang 413000, China
| | - Q Shen
- Department of Gastroenterology, Yinchuan Second People's Hospital, Yinchuan 750000, China
| | - X M Liu
- Department of Gastroenterology, Yinchuan Second People's Hospital, Yinchuan 750000, China
| | - J P Hu
- Department of Gastroenterology, Yinchuan First People's Hospital, Yinchuan 750000, China
| | - M Q Wu
- Department of Gastroenterology, Yinchuan First People's Hospital, Yinchuan 750000, China
| | - T Dang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - J Wang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - X M Meng
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - H Y Wang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - Z Y Jiang
- Department of Gastroenterology, the Second Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - Y Y Liu
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - Y Liu
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - S X Qu
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - H Tao
- Department of Gastroenterology, Dandong Central Hospital, Dandong 118000, China
| | - D M Yan
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - J Liu
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - W Fu
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - J Yu
- Department of Hepatology, Shenyang 739 Hospital, Shenyang 110000, China
| | - F S Wang
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China Medical School of Chinese PLA, Beijing 100853, China
| | - X L Qi
- The First School of Clinical Medicine of Lanzhou University, Lanzhou 730000, China Department of Radiology, Affiliated Zhongda Hospital, Southeast University, Nanjing 210000, China
| | - J L Fu
- Medical School of Chinese PLA, Beijing 100853, China Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
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16
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Yang C, Zhao L, Zhou J, Cheng Y, Yang J, Zhou H, Luo W, Lu S, Jin D, Pu J, Zhang S, Liu L, Xu J. Neisseria lisongii sp. nov. and Neisseria yangbaofengii sp. nov., isolated from the respiratory tracts of marmots. Int J Syst Evol Microbiol 2023; 73. [PMID: 37610801 DOI: 10.1099/ijsem.0.006002] [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: 08/24/2023] Open
Abstract
Four Gram-stain-negative, oxidase-positive, non-motile, cocci-shaped bacteria strains (ZJ106T, ZJ104, ZJ785T and ZJ930) were isolated from marmot respiratory tracts. Phylogenetic analyses based on 16S rRNA genes, 53 ribosomal protein sequences and 441 core genes supported that all four strains belonged to the genus Neisseria with close relatives Neisseria weixii 10022T and Neisseria iguanae ATCC 51483T. Average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values were below the species-level thresholds (95-96 % for ANI, and 70 % for dDDH). The major fatty acids of all four strains were C16 : 1 ω7c /C16 : 1 ω6c, C16 : 0 and C18 : 1 ω9c. Major polar lipids were composed of diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylglycerol. MK-8 was the major menaquinone. Based on Virulence Factor Database analysis, the four strains were found to contain NspA and PorB H-factor binding proteins that promote evasion of host immunity. Strains ZJ106T and ZJ104 contained structures similar to the capsule synthesis manipulator of Neisseria meningitidis. Based on phenotypic and phylogenetic evidence, we propose that strains ZJ106T and ZJ785T represent two novel species of the genus Neisseria, respectively, with the names Neisseria lisongii sp. nov. and Neisseria yangbaofengii sp. nov. The type strains are ZJ106T (=GDMCC 1.3111T=JCM 35323T) and ZJ785T (=GDMCC 1.1998T=KCTC 82336T).
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Affiliation(s)
- Caixin Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Lijun Zhao
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Juan Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Yanpeng Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Huimin Zhou
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Wenbo Luo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Sihui Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jianguo Xu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Institute of Public Health, Nankai University, Tianjin 300305, PR China
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17
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Pu J, Yang J, Lu S, Jin D, Luo X, Xiong Y, Bai X, Zhu W, Huang Y, Wu S, Niu L, Liu L, Xu J. Species-Level Taxonomic Characterization of Uncultured Core Gut Microbiota of Plateau Pika. Microbiol Spectr 2023; 11:e0349522. [PMID: 37067438 PMCID: PMC10269723 DOI: 10.1128/spectrum.03495-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 02/13/2023] [Indexed: 04/18/2023] Open
Abstract
Rarely has the vast diversity of bacteria on Earth been profiled, particularly on inaccessible plateaus. These uncultured microbes, which are also known as "microbial dark matter," may play crucial roles in maintaining the ecosystem and are linked to human health, regarding pathogenicity and prebioticity. The plateau pika (Ochotona curzoniae) is a small burrowing steppe lagomorph that is endemic to the Qinghai-Tibetan Plateau and is a keystone species in the maintenance of ecological balance. We used a combination of full-length 16S rRNA amplicon sequencing, shotgun metagenomics, and metabolomics to elucidate the species-level community structure and the metabolic potential of the gut microbiota of the plateau pika. Using a full-length 16S rRNA metataxonomic approach, we clustered 618 (166 ± 35 per sample) operational phylogenetic units (OPUs) from 105 plateau pika samples and assigned them to 215 known species, 226 potentially new species, and 177 higher hierarchical taxa. Notably, 39 abundant OPUs (over 60% total relative abundance) are found in over 90% of the samples, thereby representing a "core microbiota." They are all classified as novel microbial lineages, from the class to the species level. Using metagenomic reads, we independently assembled and binned 109 high-quality, species-level genome bins (SGBs). Then, a precise taxonomic assignment was performed to clarify the phylogenetic consistency of the SGBs and the 16S rRNA amplicons. Thus, the majority of the core microbes possess their genomes. SGBs belonging to the genus Treponema, the families Muribaculaceae, Lachnospiraceae, and Oscillospiraceae, and the order Eubacteriales are abundant in the metagenomic samples. In addition, multiple CAZymes are detected in these SGBs, indicating their efficient utilization of plant biomass. As the most widely connected metabolite with the core microbiota, tryptophan may relate to host environmental adaptation. Our investigation allows for a greater comprehension of the composition and functional capacity of the gut microbiota of the plateau pika. IMPORTANCE The great majority of microbial species remain uncultured, severely limiting their taxonomic characterization and biological understanding. The plateau pika (Ochotona curzoniae) is a small burrowing steppe lagomorph that is endemic to the Qinghai-Tibetan Plateau and is considered to be the keystone species in the maintenance of ecological stability. We comprehensively investigated the gut microbiota of the plateau pika via a multiomics endeavor. Combining full-length 16S rRNA metataxonomics, shotgun metagenomics, and metabolomics, we elucidated the species-level taxonomic assignment of the core uncultured intestinal microbiota of the plateau pika and revealed their correlation to host nutritional metabolism and adaptation. Our findings provide insights into the microbial diversity and biological significance of alpine animals.
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Affiliation(s)
- Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Xuelian Luo
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanwen Xiong
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiangning Bai
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wentao Zhu
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shusheng Wu
- Yushu Prefecture Center for Disease Control and Prevention, Yushu, China
| | - Lina Niu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
- Institute of Public Health, Nankai University, Tianjing, China
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Kong M, Liu C, Xu Y, Wang J, Jin D. Concordance between Genotypic and Phenotypic Drug-Resistant Profiles of Shigella Isolates from Taiyuan City, Shanxi Province, China, 2005 to 2016. Microbiol Spectr 2023; 11:e0011923. [PMID: 37249442 PMCID: PMC10269460 DOI: 10.1128/spectrum.00119-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 05/10/2023] [Indexed: 05/31/2023] Open
Abstract
Antimicrobial resistance in Shigella spp. is a global public health concern. In this study, the AMR phenotypic profiles of 10 kinds of antibiotics were compared with the genotypic profiles using genomic analysis of 218 Shigella isolates from Taiyuan City, Shanxi Province, China, 2005 to 2016. Core genome Multilocus Sequence Typing (cgMLST) based on the EnteroBase Escherichia/Shigella scheme was used to obtain the genetic relatedness of Shigella isolates. Multiple-drug resistance was observed in 96.79% Shigella spp., and the resistance to antimicrobial agents varied between S. flexneri and S. sonnei. The genotypic results correlated well with the phenotypic profiles with concordance rates of 96.42% and 94.50% in S. flexneri and S. sonnei isolates, respectively, from Taiyuan City, Shanxi Province. The sensitivity and specificity of the genotypic antimicrobial susceptibility testing (AST) were 97.56% and 95.34% for S. flexneri, and 95.65% and 93.31% for S. sonnei isolates, respectively. A discrepancy of genotypic and phenotypic AST results existed in some cephalosporin- and azithromycin-resistant Shigella isolates; there were no clear resistance patterns to predict ciprofloxacin resistance. There were major discrepancies between genotypic and phenotypic AST in the genotypically resistant but phenotypically susceptible isolates. The drug-resistance patterns and essential drug-resistance genes to predict the phenotypic drug-resistant profiles were the discrepancies between S. flexneri and S. sonnei isolates. Phylogenetic analysis showed that isolates of the same cluster but with different antibiotic-resistance gene patterns occurred because of the loss or gain of antibiotic-resistance genes located in the plasmids and multidrug-resistance islands. IMPORTANCE Antimicrobial resistance in Shigella spp. has become a global public health concern. In this study, we identified the antimicrobial susceptibility testing (AST) characteristics based on genomic sequences of 218 Shigella isolates and analyzed the correlation between genotypic and phenotypic antibiotic resistance profiles of Shigella spp., especially for fluoroquinolone, macrolides, and third-generation cephalosporins. Our results show that the genotypic results correlated with the phenotypic profiles with concordance rates of 96.42% and 94.50% in S. flexneri and S. sonnei isolates, respectively. The drug-resistance patterns and essential drug-resistance genes to predict the phenotypic drug-resistant profiles of S. flexneri and S. sonnei isolates in Taiyuan city were distinct. The discrepancy between genotypic and phenotypic AST was considerable in the genotypically resistant but phenotypically susceptible isolates. The information on drug resistance and resistance genes in this study can offer more details on the prevalence of drug resistance of Shigella spp.
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Affiliation(s)
- Mimi Kong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan City, Shanxi Province, China
| | - Chunmei Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan City, Shanxi Province, China
| | - Yang Xu
- Department of Microbiology Test, Taiyuan Center for Disease Control and Prevention, Taiyuan City, Shanxi Province, China
| | - Jitao Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan City, Shanxi Province, China
- Department of Microbiology Test, Taiyuan Center for Disease Control and Prevention, Taiyuan City, Shanxi Province, China
| | - Dong Jin
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan City, Shanxi Province, China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
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19
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Jin D, Yin H, Zheng R, Yoo SJ, Gu YH. PlantInfoCMS: Scalable Plant Disease Information Collection and Management System for Training AI Models. Sensors (Basel) 2023; 23:s23115032. [PMID: 37299759 DOI: 10.3390/s23115032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/17/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023]
Abstract
In recent years, the development of deep learning technology has significantly benefited agriculture in domains such as smart and precision farming. Deep learning models require a large amount of high-quality training data. However, collecting and managing large amounts of guaranteed-quality data is a critical issue. To meet these requirements, this study proposes a scalable plant disease information collection and management system (PlantInfoCMS). The proposed PlantInfoCMS consists of data collection, annotation, data inspection, and dashboard modules to generate accurate and high-quality pest and disease image datasets for learning purposes. Additionally, the system provides various statistical functions allowing users to easily check the progress of each task, making management highly efficient. Currently, PlantInfoCMS handles data on 32 types of crops and 185 types of pests and diseases, and stores and manages 301,667 original and 195,124 labeled images. The PlantInfoCMS proposed in this study is expected to significantly contribute to the diagnosis of crop pests and diseases by providing high-quality AI images for learning about and facilitating the management of crop pests and diseases.
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Affiliation(s)
- Dong Jin
- Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea
- Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea
| | - Helin Yin
- Department of Artificial Intelligence, Sejong University, Seoul 05006, Republic of Korea
| | - Ri Zheng
- Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea
- Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea
| | - Seong Joon Yoo
- Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea
- Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea
| | - Yeong Hyeon Gu
- Department of Artificial Intelligence, Sejong University, Seoul 05006, Republic of Korea
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20
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Ye L, Zhang G, Pu J, Yang C, Liu Y, Xu M, Jin D, Lu S, Liu L, Yang J, Xu J. Cellulomonas xiejunii sp. nov., Cellulomonas chengniuliangii sp. nov. and Cellulomonas wangsupingiae sp. nov., three cellulolytic bacteria isolated from intestinal contents of Marmota himalayana. Int J Syst Evol Microbiol 2023; 73. [PMID: 37227268 DOI: 10.1099/ijsem.0.005909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023] Open
Abstract
Six facultative anaerobic, Gram-stain-positive, oxidase-negative, rod-shaped bacteria (strains zg-B89T, zg-B12, zg-Y338T, zg-Y138, zg-Y908T and zg-Y766), were isolated from the intestinal contents of Marmota himalayana in Qinghai Province, PR China. The 16S rRNA gene sequence analysis showed that zg-B89T showed highest similarity to Cellulomonas iranensis NBRC 101100T (99.5 %), zg-Y338T to Cellulomonas cellasea DSM 20118T (98.7 %), and zg-Y908T to Cellulomonas flavigena DSM 20109T (99.0 %). Phylogenetic and phylogenomic analysis based on 16S rRNA gene and 881 core genes revealed that these six strains formed three separate clades in the genus Cellulomonas. Average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between these three novel species and all members of the genus Cellulomonas were below species thresholds (95-96 % for ANI and 70 % for dDDH). The DNA G+C contents of zg-B89T, zg-Y338T and zg-Y908T were 73.6, 72.9 and 74.5 %, respectively. Strains zg-B89T and zg-Y908T had anteiso-C15 : 0, C16 : 0 and anteiso-C15 : 1 A, and zg-Y338T had anteiso-C15 : 0, C16 : 0 and iso-C16 : 0 as the main fatty acids. All novel type strains had MK-9 (H4) as the predominant respiratory quinone, diphosphatidylglycerol, phosphatidylglycerol, phosphatidylinositol and phosphatidylinositol mannoside as the major polar lipids, and rhamnose, ribose and glucose as the cell-wall sugars. The peptidoglycan amino acids of zg-B89T, zg-Y338T and zg-Y908T contained ornithine, alanine, glutamic acid and aspartic acid (except for zg-Y338T). Based on genotypic, phenotypic, phylogenetic and biochemical properties, the six uncharacterized strains represent three novel species in the genus Cellulomonas, for which the names Cellulomonas xiejunii sp. nov. (type strain zg-B89T=GDMCC 1.2821T=KCTC 49756T), Cellulomonas chengniuliangii sp. nov. (type strain zg-Y338T=GDMCC 1.2829T=KCTC 49754T) and Cellulomonas wangsupingiae sp. nov. (type strain zg-Y908T=GDMCC 1.2820T=KCTC 49755T) are proposed, respectively.
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Affiliation(s)
- Lin Ye
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Endocrinology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Gui Zhang
- Infection Management Office, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Caixin Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Yue Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Mingchao Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Jianguo Xu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
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Zhang G, Liu Y, Cheng Y, Yang J, Jin D, Lu S, Pu J, Li W, Ge Y, Ma C, Luo W, Xu J. Identification of Nocardioides marmotae sp. nov. and Nocardioides faecalis sp. nov., two new members of the genus Nocardioides. Int J Syst Evol Microbiol 2023; 73. [PMID: 37232277 DOI: 10.1099/ijsem.0.005875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023] Open
Abstract
A polyphasic taxonomic characterization of two novel strain pairs (designated zg-579T/zg-578 and zg-536T/zg-ZUI104) isolated from the faeces of Marmota himalayana was conducted based on phylogenetic analysis of the nearly full-length 16S rRNA gene and genome, digital DNA-DNA hybridization, ortho-average nucleotide identity (Ortho-ANI), and phenotypic and chemotaxonomic traits. Comparative analysis of the nearly full-length 16S rRNA gene sequences showed that strain zg-579T was most closely related to Nocardioides dokdonensis FR1436T (97.57 %) and Nocardioides deserti SC8A-24T (97.36 %), whereas strain zg-536T had the highest similarity to Nocardioides caeni MN8T (98.33 %), Nocardioides convexus W2-2-3T (98.26 %) and Nocardioides daeguensis 2C1-5T (98.19 %). Low levels of DNA-DNA relatedness and Ortho-ANI values (19.8-31.0 %/78.6-88.2 %, zg-579T; 19.9-31.3 %/78.8-86.2 %, zg-536T) between the two new type strains and previously known species within the genus Nocardioides support the hypothesis that the four newly characterized strains could be considered to represent two novel species within this genus. The dominant cellular fatty acids found in strain pair zg-536T/zg-ZUI104 were iso-C16 : 0 and C18 : 1 ω9c, whereas C17 : 1 ω8c was major component in zg-579T/zg-578. Galactose and ribose were the main cell-wall sugars in these two new strain pairs. Diphosphatidylglycerol (DPG), phosphatidylcholine, phosphatidylglycerol (PG) and phosphatidylinositol (PI) were the major polar lipids in zg-579T, whereas DPG, PG and PI predominated in zg-536T. Both strain pairs had MK8(H4) as the major respiratory quinone and ll-diaminopimelic acid as the major cell-wall peptidoglycan. The optimal growth conditions for the two novel strain pairs were 30 °C, pH 7.0 and 0.5 % NaCl (w/v). Based on these polyphasic characterizations, two novel species within the genus Nocardioides are proposed, i.e. Nocardioides marmotae sp. nov. and Nocardioides faecalis sp. nov., with zg-579T (=CGMCC 4.7663T=JCM 33892T) and zg-536T (=CGMCC 4.7662T=JCM 33891T) as the type strains.
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Affiliation(s)
- Gui Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Infection Management Office, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China
| | - Yue Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
| | - Yanpeng Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Weiguang Li
- Infection Management Office, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China
| | - Yajun Ge
- Basic Medical college, Gansu University of Chinese Medicine, Lanzhou 730000, PR China
| | - Caiyun Ma
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
| | - Wenbo Luo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Institute of Public Health, Nankai University, Tianjin 300071, PR China
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Zhang H, Lin DQ, Wang YC, Li ZX, Hu S, Huang L, Zhang XW, Jin D, Sheng CX, Xu CX, Xie LH. Hierarchical Nanoarchitectonics of Ultrathin 2D Organic Nanosheets for Aqueous Processed Electroluminescent Devices. Small 2023:e2208174. [PMID: 37026668 DOI: 10.1002/smll.202208174] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/15/2023] [Indexed: 06/19/2023]
Abstract
Ultrathin 2D organic nanosheets (2DONs) with high mobility have received tremendous attention due to thickness of few molecular layers. However, ultrathin 2DONs with high luminescence efficiency and flexibility simultaneously are rarely reported. Here, the ultrathin 2DONs (thickness: 19 nm) through the modulation of tighter molecular packing (distance: ≈3.31 Å) achievable from the incorporation of methoxyl and dipenylamine (DPA) groups into 3D spirofluorenexanthene (SFX) building blocks is successfully prepared. Even with closer molecular stacking, ultrathin 2DONs still enable the suppression of aggregation quenching to exhibit higher quantum yields of blue emission (ΦF = 48%) than that on amorphous film (ΦF = 20%), and show amplified spontaneous emission (ASE) with a mediate threshold (332 mW cm-2 ). Further, through drop-casting method, the ultrathin 2DONs are self-organized into large-scale flexible 2DONs films (1.5 × 1.5 cm) with the low hardness (H: 0.008 Gpa) and low Young's modulus (Er : 0.63 Gpa). Impressively, the large-scale 2DONs film can realize electroluminescence performances with a maximum luminance (445 cd m-2 ) and low turn on voltage (3.7 V). These ultrathin 2DONs provide a new avenue for the realization of flexible electrically pumping lasers and intelligent quantum tunneling systems.
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Affiliation(s)
- He Zhang
- School of Materials Science and Engineering, Anhui University, Hefei, 230601, China
| | - Dong-Qing Lin
- Centre for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Yang-Cheng Wang
- Key Laboratory for Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Zhu-Xin Li
- State Key Laboratory of Bioelectronics, School of physics, Southeast University, Nanjing, 210096, China
| | - Shu Hu
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
| | - Lei Huang
- Centre for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Xin-Wen Zhang
- Key Laboratory for Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Dong Jin
- Centre for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Chuan-Xiang Sheng
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
| | - Chun-Xiang Xu
- State Key Laboratory of Bioelectronics, School of physics, Southeast University, Nanjing, 210096, China
| | - Ling-Hai Xie
- Centre for Molecular Systems and Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
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23
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Liu Y, Zhang G, Yang J, Cheng Y, Ye L, Lai XH, Yang C, Ma C, Tao Y, Jin D, Lu S, Liu L, Xu J. Arthrobacter caoxuetaonis sp. nov., Arthrobacter zhangbolii sp. nov. and Arthrobacter gengyunqii sp. nov., isolated from Marmota himalayana faeces from Qinghai-Tibet Plateau. Int J Syst Evol Microbiol 2023; 73. [PMID: 37042839 DOI: 10.1099/ijsem.0.005742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023] Open
Abstract
Six aerobic or facultative anaerobic, motile, Gram-stain-positive, catalase-positive and oxidase-negative strains (zg-Y453T, zg-Y324, zg-Y462T, zg-Y411, zg-Y809T and zg-Y786) were isolated from different faecal samples of Marmota himalayana from the Qinghai-Tibet Plateau. Pale yellow, round, raised and moist colonies appeared 48 h after incubation at 28 °C on brain-heart infusion plates supplemented with 5 % defibrinated sheep blood. According to the 16S rRNA gene sequence alignment, two strain pairs (zg-Y453T/zg-Y324 and zg-Y462T/zg-Y411) shared the highest similarities to Arthrobacter luteolus (99.5 and 99.2 %), and the other one (zg-Y809T/zg-Y786) to Arthrobacter citreus (99.5 %). Results of phylogenetic analysis based on the 16S rRNA gene and genome sequences showed that these six strains represented three separate species within the genus Arthrobacter. The average nucleotide identity and digital DNA-DNA hybridization values between the three novel type strains (zg-Y453T/zg-Y462T/zg-Y809T) and other known species in this genus were all below respective thresholds (70.2-81.5/19.6-24.2 %, 70.6-81.8/19.8-25.0 %, and 70.4-88.2/19.9-35.3 %). Although phylogenetically related, there were obvious chemotaxonomic and phenotypic differences: strain pair zg-Y462T/zg-Y411 had anteiso-C15 : 0 as the only major fatty acid; the three novel species had different dominant quinones, MK-8(H2) in strains zg-Y462T/zg-Y809T (74.8/81.1 %) and MK-8(H2)/MK-9(H2) (43.1/53.0 %) in zg-Y453T; similarly, the ability to reduce nitrate in strains zg-Y453T and zg-Y462T could differentiate them from zg-Y809T. All strains had diphosphatidylglycerol, phosphatidylglycerol and phosphatidylinositol, but differed slightly in the types of unidentified glycolipids, phospholipids and lipids. Based on the results of these polyphasic taxonomic analyses, three novel species within the genus Arthrobacter are proposed, namely Arthrobacter caoxuetaonis sp. nov. (type strain, zg-Y453T=GDMCC 1.2809T=JCM 35173T), Arthrobacter zhangbolii sp. nov. (type strain, zg-Y462T=GDMCC 1.2880T=JCM 35170T) and Arthrobacter gengyunqii sp. nov. (type strain, zg-Y809T=GDMCC 1.2808T=JCM 35168T).
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Affiliation(s)
- Yue Liu
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
| | - Gui Zhang
- Infection Management Office, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, PR China
| | - Yanpeng Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518073, PR China
| | - Lin Ye
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
| | - Xin-He Lai
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, Shangqiu Normal University, Shangqiu, 476000, PR China
| | - Caixin Yang
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
| | - Caiyun Ma
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
| | - Yuanmeihui Tao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, PR China
| | - Jianguo Xu
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, PR China
- Institute of Public Health, Nankai University, Tianjin, 300071, PR China
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Jin D, Mccurry M, Friskey J, Lisowski J, Diamond J, Anderson M, Crespo M, Courtwright A, Cevasco M, Bermudez C, Gallop R, Hsu Y, Christie J, Schaubel D, Cantu E. Transplanting Candidates with Stacked Risks Negatively Affects Outcomes. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1619] [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: 04/05/2023] Open
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25
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Luo XL, Zhang XD, Li BJ, Qin T, Cao ZJ, Fan QJ, Yang J, Jin D, Lu S, Zheng YY, Xu XF, Pu J, Xu J. Comparative Evaluation of Standard RT-PCR Assays and Commercial Real-Time RT-PCR Kits for Detection of Lassa Virus. Microbiol Spectr 2023:e0501122. [PMID: 36976009 PMCID: PMC10100986 DOI: 10.1128/spectrum.05011-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
Lassa virus (LASV) is a causative agent of hemorrhagic fever epidemic in West Africa. In recent years, it has been transmitted several times to North America, Europe, and Asia. Standard reverse transcription (RT)-PCR and real-time RT-PCR are extensively used for early detection of LASV. However, the high nucleotide diversity of LASV strains complicates the development of appropriate diagnostic assays. Here, we analyzed LASV diversity clustered with geographic location and evaluated the specificity and sensitivity of two standard RT-PCR methods (GPC RT-PCR/1994 and 2007) and four commercial real-time RT-PCR kits (namely, Da an, Mabsky, Bioperfectus, and ZJ) to detect six representative LASV lineages using in vitro synthesized RNA templates. The results showed that the GPC RT-PCR/2007 assay had better sensitivity compared to the GPC RT-PCR/1994 assay. The Mabsky and ZJ kits were able to detect all RNA templates of six LASV lineages. Contrastingly, the Bioperfectus and Da an kits failed to detect lineages IV and V/VI. The limit of detection for lineage I with the Da an, Bioperfectus, and ZJ kits were significantly higher than that of the Mabsky kit at an RNA concentration of 1 × 1010 to 1 × 1011 copies/mL. The Bioperfectus and Da an kits detected lineages II and III at an RNA concentration of 1 × 109 copies/mL, higher than that of the other kits. In conclusion, the GPC RT-PCR/2007 assay and the Mabsky kit were suitable assays for the detection of LASV strains based on good analytical sensitivity and specificity. IMPORTANCE Lassa virus (LASV) is a significant human pathogen causing hemorrhagic fever in West Africa. Increased traveling around the world raises the risk of imported cases to other countries. The high nucleotide diversity of LASV strains clustered with geographic location complicates the development of appropriate diagnostic assays. In this study, we showed that the GPC reverse transcription (RT)-PCR/2007 assay and the Mabsky kit are suitable for detecting most LASV strains. Future assays for molecular detection of LASV should be based on specific countries/regions along with new variants.
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Affiliation(s)
- Xue-Lian Luo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Xiu-Dan Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Bei-Jie Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Tian Qin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Zhi-Jie Cao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Qian-Jin Fan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Institute of Public Health, Nankai University, Tianjin, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Ya-Yun Zheng
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Xue-Fang Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China
- Institute of Public Health, Nankai University, Tianjin, China
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China
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Luo XL, Lu S, Qin C, Shi M, Lu XB, Wang L, Ga S, Jin D, Ma XL, Yang J, Dai Y, Bao LL, Cheng YP, Ge YJ, Bai YB, Zhu WT, Pu J, Sun H, Huang YY, Xu MC, Lei WJ, Dong K, Yang CX, Jiao YF, Lv Q, Li FD, Xu J. Emergence of an ancient and pathogenic mammarenavirus. Emerg Microbes Infect 2023; 12:e2192816. [PMID: 36939609 DOI: 10.1080/22221751.2023.2192816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
ABSTRACTEmerging zoonoses of wildlife origin caused by previously unknown agents are one of the most important challenges for human health. The Qinghai-Tibet Plateau represents a unique ecological niche with diverse wildlife that harbors several human pathogens and numerous previously uncharacterized pathogens. In this study, we identified and characterized a novel arenavirus (namely, plateau pika virus, PPV) from plateau pikas (Ochotona curzoniae) on the Qinghai-Tibet Plateau by virome analysis. Isolated PPV strains could replicate in several mammalian cells. We further investigated PPV pathogenesis using animal models. PPV administered via an intraventricular route caused trembling and sudden death in IFNαβR-/- mice, and pathological inflammatory lesions in brain tissue were observed. According to a retrospective serological survey in the geographical region where PPV was isolated, PPV-specific IgG antibodies were detected in 8 (2.4%) of 335 outpatients with available sera. Phylogenetic analyses revealed that this virus was clearly separated from previously reported New and Old World mammarenaviruses. Under the co-speciation framework, the estimated divergence time of PPV was 77-88 million years ago (MYA), earlier than that of OW and NW mammarenaviruses (26-34 MYA).
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Affiliation(s)
- Xue-Lian Luo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Chuan Qin
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Mang Shi
- The Center for Infection & Immunity Study, School of Medicine, Shenzhen campus of Sun Yat-sen University, Shenzhen, People's Republic of China
| | - Xiao-Bo Lu
- Infectious diseases department, First Affiliated Hospital, Xinjiang Medical University, Urumqi, Xinjiang Autonomous Region, China
| | - Lu Wang
- Kashi Center for Disease Control and Prevention, Kashi, Xinjiang Autonomous Region, China
| | - Sang Ga
- Yushu Prefecture Center for Disease Control and Prevention, Yushu, Qinghai Province, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Xin-Li Ma
- Kashi first people's hospital, Kashi, Xinjiang Autonomous Region, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Yan Dai
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Lin-Lin Bao
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Yan-Peng Cheng
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Ya-Jun Ge
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China
| | - Yi-Bo Bai
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Wen-Tao Zhu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Hui Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Yu-Yuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Ming-Chao Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China
| | - Wen-Jing Lei
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Kui Dong
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Cai-Xin Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Yi-Fan Jiao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China
| | - Qi Lv
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Feng-Di Li
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, China.,Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China.,Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi province, China.,Institute of Public Health, Nankai University, Tianjin, China
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Huang Y, Jiao Y, Zhang S, Tao Y, Zhang S, Jin D, Pu J, Liu L, Yang J, Lu S. Description of Ornithinimicrobium cryptoxanthini sp. nov., a Novel Actinomycete Producing β-cryptoxanthin Isolated from the Tongtian River Sediments. J Microbiol 2023; 61:379-388. [PMID: 36929341 DOI: 10.1007/s12275-023-00029-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 03/18/2023]
Abstract
Two novel Gram-stain-positive, aerobic, non-motile, and yellow-pigmented, irregular rod-shaped bacteria (JY.X269 and JY.X270T) were isolated from the near-surface sediments of river in Qinghai Province, P. R. China (32°37'13″N, 96°05'37″E) in July 2019. Both strains were shown to grow at 15-35 °C and pH 7.0-10.0, and in the presence of 0-6.0% (w/v) NaCl. The 16S rRNA gene sequence analysis showed that the isolates were closely related to Ornithinimicrobium cavernae CFH 30183 T (98.6-98.8% 16S rRNA gene sequence similarity), O. ciconiae H23M54T (98.5-98.6%) and O. murale 01-Gi-040T (98.3-98.5%). The phylogenetic and phylogenomic trees based on the 16S rRNA gene and 537 core gene sequences, respectively, revealed that the two strains formed a distinct cluster with the above three species. The digital DNA-DNA hybridization (dDDH) and average nucleotide identity (ANI) values between our two isolates (JY.X269 and JY.X270T) and other Ornithinimicrobium species were within the ranges of 19.0-23.9% and 70.8-80.4%, respectively, all below the respective recommended 70.0% and 95-96% cutoff point. Furthermore, the major cellular fatty acids (> 10.0%) of strains JY.X269 and JY.X270T were iso-C15:0, iso-C16:0, and summed feature 9. Strain JY.X270T contained MK-8(H4) and ornithine as the predominant menaquinone and diagnostic diamino acid component within the cell wall teichoic acids. β-cryptoxanthin (C40H56O) can be extracted from strain JY.X270T, and its content is 6.3 µg/ml. Based on results from the phylogenetic, chemotaxonomic, and phenotypic analyses, the two strains could be classified as a novel species of the genus Ornithinimicrobium, for which the name Ornithinimicrobium cryptoxanthini sp. nov. is proposed (type strain JY.X270T = CGMCC 1.19147T = JCM 34882T).
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Affiliation(s)
- Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China
| | - Yifan Jiao
- Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, 030009, People's Republic of China
| | - Sihui Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China.,Peking University School of Public Health, Beijing, 100083, People's Republic of China
| | - Yuanmeihui Tao
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China
| | - Suping Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China.,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, People's Republic of China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China. .,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, People's Republic of China.
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, People's Republic of China. .,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, People's Republic of China.
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28
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Zhao Q, Sun X, Liu K, Peng Y, Jin D, Shen W, Wang R. Correlation between capsule endoscopy classification and CT lymphangiography of primary intestinal lymphangiectasia. Clin Radiol 2023; 78:219-226. [PMID: 36509551 DOI: 10.1016/j.crad.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 09/21/2022] [Accepted: 10/05/2022] [Indexed: 12/13/2022]
Abstract
AIM To investigate the correlation between capsule endoscopy (CE) classification of primary intestinal lymphangiectasia (PIL) and computed tomography (CT) lymphangiography (CTL). MATERIALS AND METHODS A total of 52 patients with diagnosed PIL were enrolled. All patients were examined using CTL and small intestinal CE before surgery. CE assessments included the morphology, scope, colour, and size of lesions. CTL assessments included intestinal wall, lymphatic vessel dilatation, lymph fluid reflux, and lymphatic fistula. Patients were divided into three groups according to type diagnosed by CE, and the CTL characteristics were analysed among the groups. RESULTS CE showed 15 patients with type I, 27 with II, and 10 with type III. Intestinal wall thickening was observed in 15 type I, 21 type II, and seven type III. Pericardial effusion was observed in only three type I patients; the difference among types was statistically significant (p=0.02). Abnormal contrast agent distribution in the intestinal wall and mesentery was observed in 15 type II patients, and the difference was significantly greater than that of types I and III (p=0.02). Abnormal contrast agent distribution in the abdominal cavity was observed in 12 type II, and the difference was statistically significant (p=0.03). CONCLUSION The CE PIL classification reflects the extent and scope of intestinal mucosa lesions; CTL more systematically demonstrates abnormal lymphatic vessels or reflux, and its manifestations of PIL are related to the CE classification. The combination of CTL with CE is useful for accurately evaluating PIL, and provides guidance for preoperative assessment and treatment management of PIL patients.
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Affiliation(s)
- Q Zhao
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - X Sun
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - K Liu
- Department of Gastroenterology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Y Peng
- Beijing Jiaotong University, China
| | - D Jin
- Peking University Third Hospital, China
| | - W Shen
- Department of Lymph Surgery, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - R Wang
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
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29
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Ma C, Zhang G, Cheng Y, Lei W, Yang C, Liu Y, Yang J, Lu S, Jin D, Liu L, Xu J. Dyadobacter chenhuakuii sp. nov., Dyadobacter chenwenxiniae sp. nov., and Dyadobacter fanqingshengii sp. nov., isolated from soil of the Qinghai-Tibetan Plateau. Int J Syst Evol Microbiol 2023; 73. [PMID: 36913273 DOI: 10.1099/ijsem.0.005747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023] Open
Abstract
Six novel bacterial strains, designated CY22T, CY357, LJ419T, LJ53, CY399T and CY107 were isolated from soil samples collected from the Qinghai-Tibetan Plateau, PR China. Cells were aerobic, rod-shaped, yellow-pigmented, catalase- and oxidase-positive, Gram-stain-negative, non-motile and non-spore-forming. All strains were psychrotolerant and could grow at 0 °C. The results of phylogenetic and phylogenomic analyses, based on 16S rRNA gene sequences and core genomic genes, indicated that the three strain pairs (CY22T/CY357, LJ419T/LJ53 and CY399T/CY107) were closely related to members of the genus Dyadobacter and clustered tightly with two species with validly published names, Dyadobacter alkalitolerans 12116T and Dyadobacter psychrophilus BZ26T. Values of digital DNA-DNA hybridization between genome sequences of the isolates and other strains from the GenBank database in the genus Dyadobacter were far below the 70.0 % threshold. The genomic DNA G+C content of these six strains ranged from 45.2 to 45.8 %. The major cellular fatty acids of all six strains were iso-C15 : 0 and summed feature 3 (comprising C16 : 1 ω7c and/or C16 : 1 ω6c). MK-7 was the only respiratory quinone, and phosphatidylethanolamine was the predominant polar lipid for strains CY22T, LJ419T and CY399T. On the basis of the phenotypic, phylogenetic and genomic evidence presented, these six strains represent three novel members of the genus Dyadobacter, for which the names Dyadobacter chenhuakuii sp. nov., Dyadobacter chenwenxiniae sp. nov. and Dyadobacter fanqingshengii sp. nov. are proposed. The type strains are CY22T (= GDMCC 1.3045T = KCTC 92299T), LJ419T (= GDMCC 1.2872T = JCM 33794T) and CY399T (= GDMCC 1.3052T = KCTC 92306T), respectively.
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Affiliation(s)
- Caiyun Ma
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Gui Zhang
- Infection Management Office, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, PR China
| | - Yanpeng Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, PR China
| | - Wenjing Lei
- Shanxi Eye Hospital, Taiyuan 030001, PR China
| | - Caixin Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Yue Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Jianguo Xu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
- Institute of Public Health, Nankai University, Tianjin 300071, PR China
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30
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Huang Y, Zhang S, Tao Y, Yang J, Lu S, Jin D, Pu J, Luo W, Zheng H, Liu L, Jiang JF, Xu J. Morphological and genomic characteristics of two novel actinomycetes, Ornithinimicrobium sufpigmenti sp. nov. and Ornithinimicrobium faecis sp. nov. isolated from bat faeces ( Rousettus leschenaultia and Taphozous perforates). Front Cell Infect Microbiol 2023; 13:1093407. [PMID: 36864884 PMCID: PMC9973731 DOI: 10.3389/fcimb.2023.1093407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/31/2023] [Indexed: 02/16/2023] Open
Abstract
Four Gram-staining-positive, aerobic, non-motile, circle-shaped bacteria were isolated from the faeces of bats (Rousettus leschenaultia and Taphozous perforates) collected from Guangxi autonomous region (E106°49'20″, N22°20'54″) and Yunnan province (E102°04'39″, N25°09'10″) of South China. Strains HY006T and HY008 shared highly 16S rRNA gene sequence similarity to those of Ornithinimicrobium pratense W204T (99.3%) and O. flavum CPCC 203535T (97.3%), while the strains HY1745 and HY1793T were closest to the type strains O. ciconiae H23M54T (98.7%), O. cavernae CFH 30183T (98.3%), and O. murale 01-Gi-040T (98.1%). Furthermore, when compared to the other members of the genus Ornithinimicrobium, the digital DNA-DNA hybridization and average nucleotide identity values of the four novel strains were within the ranges of 19.6-33.7% and 70.6-87.4%, respectively, both of which were below the respective recommended cutoff values of 70.0% and 95-96%. Significantly, strain HY006T was resistant to chloramphenicol and linezolid whereas strain HY1793T was resistant to erythromycin, clindamycin (intermediately), and levofloxacin (intermediately). The main cellular fatty acids (>20.0%) of our isolates were iso-C15:0 and iso-C16:0. Strains HY006T and HY1793T contained ornithine as the diagnostic diamino acid, also along with the alanine, glycine and glutamic acid in their cell wall. Based on phylogenetic, chemotaxonomic and phenotypic analyses, these four strains could be classified as two novel species of the genus Ornithinimicrobium, for which the names Ornithinimicrobium sufpigmenti sp. nov. and Ornithinimicrobium faecis sp. nov. are proposed. The type strains are HY006T (=CGMCC 1.16565T =JCM 33397T) and HY1793T (=CGMCC 1.19143T =JCM 34881T), respectively.
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Affiliation(s)
- Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Suping Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuanmeihui Tao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenbo Luo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Han Zheng
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jia-fu Jiang
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China,*Correspondence: Jianguo Xu, ; Jia-fu Jiang,
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China,Research Institute of Public Health, Nankai University, Tianjin, China,*Correspondence: Jianguo Xu, ; Jia-fu Jiang,
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31
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Tao Y, Ge Y, Yang J, Song W, Jin D, Lin H, Zheng H, Lu S, Luo W, Huang Y, Zhuang Z, Xu J. A novel phytopathogen Erwinia sorbitola sp. nov., isolated from the feces of ruddy shelducks. Front Cell Infect Microbiol 2023; 13:1109634. [PMID: 36875519 PMCID: PMC9978198 DOI: 10.3389/fcimb.2023.1109634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/02/2023] [Indexed: 02/18/2023] Open
Abstract
The species in the genus Erwinia are Gram-stain-negative, facultatively anaerobic, motile, and rod-shaped. Most species in the genus Erwinia are phytopathogens. Also, Erwinia persicina was involved in several human infections. Based on the reverse microbial etiology principles, it is worth analyzing the pathogenicity of species in this genus. In this study, we isolated and sequenced two species of Erwinia. Phylogenetic, phenotypic, biochemical, and chemotaxonomic analyses were performed to identify its taxonomy position. The virulence tests on plant leaves and pear fruits were used to identify the plant pathogenicity of two species of Erwinia. Bioinformatic methods predicted the possible pathogenic determinants based on the genome sequence. Meanwhile, adhesion, invasion, and cytotoxicity assays on RAW 264.7 cells were applied to identify animal pathogenicity. We isolated two Gram-stain-negative, facultatively anaerobic, motile, and rod-shaped strains from the feces of ruddy shelducks in the Tibet Plateau of China, designated J780T and J316. Distinct phylogenetic, genomic, phenotypic, biochemical, and chemotaxonomic characters of J780T and J316 identified they were novel species and belonged to the genus Erwinia, for which the name Erwinia sorbitola sp. nov. was proposed, the type strain was J780T (= CGMCC 1.17334T = GDMCC 1.1666T = JCM 33839T). Virulence tests showed blight and rot on the leaves and pear fruits confirmed Erwinia sorbitola sp. nov. was a phytopathogen. Predicted gene clusters of motility, biofilm formation, exopolysaccharides, stress survival, siderophores, and Type VI secretion system might be the causes of pathogenicity. In addition, predicted polysaccharide biosynthesis gene clusters on the genome sequence, and the high capacity for adhesion, invasion, and cytotoxicity to animal cells confirmed it has pathogenicity on animals. In conclusion, we isolated and identified a novel phytopathogen Erwinia sorbitola sp. nov. in ruddy shelducks. A predefined pathogen is beneficial for preventing from suffering potential economic losses caused by this new pathogen.
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Affiliation(s)
- Yuanmeihui Tao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Yajun Ge
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- College of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Weitao Song
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Hong Lin
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Han Zheng
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Wenbo Luo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Zhenhong Zhuang
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
- *Correspondence: Zhenhong Zhuang, ; Jianguo Xu,
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
- Research Institute of Public Health, Nankai University, Tianjin, China
- *Correspondence: Zhenhong Zhuang, ; Jianguo Xu,
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Huang Y, Sun Y, Huang Q, Lv X, Pu J, Zhu W, Lu S, Jin D, Liu L, Shi Z, Yang J, Xu J. The Threat of Potentially Pathogenic Bacteria in the Feces of Bats. Microbiol Spectr 2022; 10:e0180222. [PMID: 36287057 PMCID: PMC9769573 DOI: 10.1128/spectrum.01802-22] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/23/2022] [Indexed: 01/05/2023] Open
Abstract
Bats have attracted global attention because of their zoonotic association with severe acute respiratory syndrome coronavirus (SARS-CoV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Previous and ongoing studies have predominantly focused on bat-borne viruses; however, the prevalence or abundance of bat-borne pathogenic bacteria and their potential public health significance have largely been neglected. For the first time, this study used both metataxonomics (16S rRNA marker gene sequencing) and culturomics (traditional culture methods) to systematically evaluate the potential public health significance of bat fecal pathogenic bacteria. To this end, fecal samples were obtained from five bat species across different locations in China, and their microbiota composition was analyzed. The results revealed that the bat microbiome was most commonly dominated by Proteobacteria, while the strictly anaerobic phylum Bacteroidetes occupied 35.3% of the relative abundance in Rousettus spp. and 36.3% in Hipposideros spp., but less than 2.7% in the other three bat species (Taphozous spp., Rhinolophus spp., and Myotis spp.). We detected 480 species-level phylotypes (SLPs) with PacBio sequencing, including 89 known species, 330 potentially new species, and 61 potentially higher taxa. In addition, a total of 325 species were identified by culturomics, and these were classified into 242 named species and 83 potentially novel species. Of note, 32 of the 89 (36.0%) known species revealed by PacBio sequencing were found to be pathogenic bacteria, and 69 of the 242 (28.5%) known species isolated by culturomics were harmful to people, animals, or plants. Additionally, nearly 40 potential novel species which may be potential bacterial pathogens were identified. IMPORTANCE Bats are one of the most diverse and widely distributed groups of mammals living in close proximity to humans. In recent years, bat-borne viruses and the viral zoonotic diseases associated with bats have been studied in great detail. However, the prevalence and abundance of pathogenic bacteria in bats have been largely ignored. This study used high-throughput sequencing techniques (metataxonomics) in combination with traditional culture methods (culturomics) to analyze the bacterial flora in bat feces from different species of bats in China, revealing that bats are natural hosts of pathogenic bacteria and carry many unknown bacteria. The results of this study can be used as guidance for future investigations of bacterial pathogens in bats.
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Affiliation(s)
- Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yamin Sun
- Research Institute of Public Health, Nankai University, Tianjin, People’s Republic of China
- Research Center for Functional Genomics and Biochip, Tianjin, People’s Republic of China
| | - Qianni Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Xianglian Lv
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Wentao Zhu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Zhengli Shi
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People’s Republic of China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Research Institute of Public Health, Nankai University, Tianjin, People’s Republic of China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
- Peking University School of Public Health, Beijing, People’s Republic of China
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33
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Lv X, Li Y, Cheng Y, Lai XH, Yang J, Lu S, Zhang G, Yang C, Jin D, Liu L, Xu J. Canibacter zhuwentaonis sp. nov. and Canibacter zhoujuaniae sp. nov. , isolated from Marmota himalayana. Int J Syst Evol Microbiol 2022; 72. [PMID: 36748412 DOI: 10.1099/ijsem.0.005633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Four Gram-stain-positive, facultatively anaerobic, non-motile, non-spore-forming and rod-shaped bacteria (lx-72T, lx-45, ZJ784T and ZJ955) were isolated from the respiratory tract or faeces of marmot (Marmota himalayana) from the Qinghai-Tibet Plateau in China. Analysis of the 16S rRNA gene sequences showed that all strains belong to the genus Canibacter and are more related to Canibacter oris CCUG 64069T (95.1-97.4 % similarity) than to the genus Leucobacter. Both strain pairs grew well at pH 6-9 and 15-42°C, and ZJ784T/ZJ955 could tolerate slightly higher NaCl (0.5-4.5 %, w/v) than lx-72T/lx-45(0.5-3.5 %). Based on whole-genome sequences, the average nucleotide identity and digital DNA-DNA hybridization values between our four isolates and their closest relative were below the species delineation thresholds of 70 % and 95-96 %. The common major fatty acids (>10 %) of our four strains were anteiso-C15 : 0 and anteiso-C17 : 0. For both new type strains, MK-8(H4) and MK-9(H4) were the major isoprenoid quinones, and diphosphatidylglycerol and phosphatidylglycerol were the main polar lipids. The genomic DNA G+C content of all strains was 53.9 mol%. Based on results from the genomic comparison, phylogenetic analysis, and physiological and biochemical characteristics, the four isolates represent two novel species in the genus Canibacter, for which the names Canibacter zhuwentaonis sp. nov. (type strain lx-72T=KCTC 49658T=GDMCC 1.2569T) and Canibacter zhoujuaniae sp. nov. (type strain ZJ784T=KCTC 49507T=GDMCC 1.1997T) are proposed.
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Affiliation(s)
- Xianglian Lv
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, PR China.,State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Yinmei Li
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, PR China.,State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Yanpeng Cheng
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, PR China.,State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China.,Shenzhen Center for Disease Control and Prevention, Shenzhen, PR China
| | - Xin-He Lai
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, Shangqiu Normal University, Shangqiu 476000, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China.,Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai, PR China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China.,Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai, PR China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Gui Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Caixin Yang
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, PR China.,State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China.,Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai, PR China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Jianguo Xu
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, PR China.,State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China.,Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai, PR China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, PR China.,Institute of Public Health, Nankai University, Tianjin, PR China
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34
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Liu S, Li Y, He Z, Wang Y, Wang J, Jin D. A molecular study regarding the spread of vanA vancomycin-resistant Enterococcus faecium in a tertiary hospital in China. J Glob Antimicrob Resist 2022; 31:270-278. [PMID: 36273808 DOI: 10.1016/j.jgar.2022.10.010] [Citation(s) in RCA: 5] [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] [Received: 09/08/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES Vancomycin-resistant enterococci (VRE) are one of the most important bacterial causes of healthcare-associated infections (HAIs). In China, the detection rate of VRE Enterococcus faecium (VREfm) is low, although VREfm had a high prevalence in our hospitals between 2013-2015. In this study, we used molecular typing methods combined with epidemiological data to investigate the spread of VREfm in our hospital. METHODS The characteristics of E. faecium strains isolated from 89 patients with HAIs, including antibiotic susceptibility and virulence genes, were analyzed. This study analyzed 50 E. faecium strains isolated from 47 intensive care unit and Emergency ward patients using core genome Multilocus Sequence Typing and transposon typing. Epidemiological information about those patients was also analyzed. RESULTS Twenty-seven E. faecium isolates containing the vanA gene were identified as VREfm in 89 non-duplicate E. faecium isolates. The major clonal VREfm strains that persisted from 2013-2015 were CT1/ST78/PFGE cluster A that contained transposon type Ⅰ. The other CT4/ST363/PFGE cluster of VREfm strains also contained transposon type Ⅰ. Three patients acquired different clonal E. faecium strains during the hospital period, and the VREfm strain infected one patient. CONCLUSIONS In this study, we report the spread caused by vanA vancomycin-resistant E. faecium strains of different cluster types with the same type of transposon in a tertiary hospital. Our literature review revealed that this is the first report of the HAIs caused by ST363/CT4 VREfm strains.
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Affiliation(s)
- Sha Liu
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Yan Li
- Department of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Liaoning Province, China
| | - Ziqiang He
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Liaoning Province, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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35
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Ge J, Guo D, Ye X, Song Y, Hua X, Lu L, Lin C, Jin D, Ho T. Dosimetry Validation Study for Automated Head and Neck Cancer Organs at Risk Segmentation Using Stratified Learning and Neural Architecture Search. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2255] [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: 10/31/2022]
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36
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Ye X, Guo D, Liu J, Ge J, Yu H, Wang F, LU Z, Sun X, Yuan S, Zhao L, Jin X, Li J, He C, Zhang Q, Meng Y, Yang X, Liang J, Liu R, Ding S, Zhao J, Li Z, Zhong W, Zhu B, Zhou S, Yuan T, Yan L, Hua X, Lu L, Yan S, Jin D, Kong S. AI Model of Using Stratified Deep Learning to Delineate the Organs at Risk (OARs) for Thoracic Radiation Therapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.952] [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: 10/31/2022]
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37
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Ge J, Ye X, Guo D, Song Y, Hua X, Lu L, Lin C, Jin D, Ho T. Evaluation of Intra-Observer Variation for Deep Learning Generated Head and Neck Organs at Risk Segmentation. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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38
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Huang Y, Gong J, Dong L, Yang J, Lu S, Lai XH, Pu J, Jin D, Xu J. Gordonia zhenghanii sp. nov. and Gordonia liuliyuniae sp. nov., isolated from bat faeces. Int J Syst Evol Microbiol 2022; 72. [DOI: 10.1099/ijsem.0.005579] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
Abstract
Four mesophilic actinobacteria (HY002T, HY442, HY366T and HY285) isolated from the faeces of bats collected in southern China were found to be strictly aerobic, non-motile, rod-shaped, oxidase-negative, Gram-stain-positive and catalase-positive. Strains HY002T and HY366T contained meso-diaminopimelic acid as the diagnostic diamino acid and MK-9(H2) the sole respiratory quinone. Arabinose, galactose and ribose were detected in the whole-cell hydrolysates of both type strains. The main cellular fatty acids (> 10.0%) of all strains were C16 : 0, C18 : 1
ω9c, 10-methyl-C18 : 0 and summed feature 3. Strains HY002T and HY366T contained diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylinositol and phosphatidyl inositol mannosides as the major polar lipids. The phylogenetic/phylogenomic analyses based on 16S rRNA gene and genomic sequence comparison revealed that the four strains belong to the genus
Gordonia
, most closely related to
G. neofelifaecis
NRRL B-59395T(98.2–98.3% sequence similarity) on the EzBioCloud database. The G+C contents of strains HY002T and HY366T based on genomic DNA were 66.5 and 66.9%, respectively. The DNA–DNA relatedness values between the two types strains and members of the genus
Gordonia
were far below 70 % (18.6–23.1 %). All genotypic and phenotypic data indicated that the four strains are representatives of two novel separate species, for which the names Gordonia zhenghanii sp. nov. and Gordonia liuliyuniae sp. nov. are proposed, with HY002T (=CGMCC 4 7757T=JCM 34 878T) and HY366T (=CGMCC 1 19146T=JCM 34 879T) as the respective type strains.
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Affiliation(s)
- Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jian Gong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Lingzhi Dong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jing Yang
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Shan Lu
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Xin-He Lai
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, Shangqiu Normal University, Shangqiu 476000, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Dong Jin
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jianguo Xu
- Peking University School of Public Health, Beijing 100083, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Research Institute of Public Health, Nankai University, Tianjin 300350, PR China
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39
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Zhang G, Yang J, Lai XH, Jin D, Lu S, Liu L, Cheng Y, Pu J, Yang C, Liu Y, Ye L, Xu J. Cellulomonas dongxiuzhuiae sp. nov., Cellulomonas wangleii sp. nov. and Cellulomonas fengjieae sp. nov., isolated from the intestinal contents of Marmota himalayana. Int J Syst Evol Microbiol 2022; 72. [DOI: 10.1099/ijsem.0.005533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Six Gram-stain-positive, aerobic or facultative anaerobic, catalase-positive, urease- and oxidase-negative, rod-shaped bacteria (zg-ZUI157T/zg-ZUI40, zg-ZUI222T/zg-ZUI199 and zg-ZUI188T/ zg-ZUI168) were characterized by a polyphasic approach. Optimal growth of the six strains was observed at pH 7.0 and 28 °C. Phylogenetic analyses based on the 16S rRNA gene and 247 core genes revealed that they belong to genus
Cellulomonas
. The three type strains have low digital DNA-DNA hybridization (19.3–30.1%) and average nucleotide identity values (78.0-85.5%) with all available genomes in the genus
Cellulomonas
, and a DNA G+C content range of 73.0-74.6 mol%. The major fatty acids detected in strain pairs zg-ZUI157T/zg-ZUI40 and zg-ZUI 222T/zg-ZUI199 were C16:0, anteiso-C15:0 and anteiso A-C15:1, and C16:0, anteiso-C15:0, anteiso A-C15:1 and anteiso-C17:0 in strain pair zg-ZUI188T/zg-ZUI168. Diphosphatidylglycerol, phosphatidylglycerol and phosphatidylinositol mannosides were the major polar lipids detected in the three novel species. MK-9(H4) was the predominant quinone detected in strains zg-ZUI222T (87.4 %) and zg-ZUI188T (91.4 %), and MK-9(H4) (49.1 %) and MK-8 (43.4 %) in strain zg-ZUI157T. The cell-wall sugars detected in the three novel species mainly contained rhamnose. The cell-wall peptidoglycan type of the three novel species was A4β, with an inferred l-Orn–d-Asp interpeptide bridge for strains zg-ZUI157T and zg-ZUI222T, and l-Orn–d-Glu for strain zg-ZUI188T. Based on the results of the phenotypic, phylogenetic, genomic hybridization, average nucleotide identity and chemotaxonomic analyses, the six strains should be classified as belonging to three novel
Cellulomonas
species, for which the names Cellulomonas dongxiuzhuiae sp. nov. (zg-ZUI157T=GDMCC 1.2559T=KCTC 49678T), Cellulomonas wangleii sp. nov. (zg-ZUI222T=GDMCC 1.2501T=KCTC 49675T) and Cellulomonas fengjieae sp. nov. (zg-ZUI188T=GDMCC 1.2563T=KCTC 49674T) are proposed.
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Affiliation(s)
- Gui Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jing Yang
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Xin-He Lai
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, Shangqiu Normal University, Shangqiu 476000, PR China
| | - Dong Jin
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Shan Lu
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Yanpeng Cheng
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Caixin Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Yue Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Lin Ye
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jianguo Xu
- Institute of Public Health, Nankai University, Tianjin 300071, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
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40
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Wang Y, He Z, Ablimit P, Ji S, Jin D. Development of multiplex cross displacement amplification combined with lateral flow biosensor assay for detection of virulent shigella sonnei. Front Cell Infect Microbiol 2022; 12:1012105. [PMID: 36339345 PMCID: PMC9627043 DOI: 10.3389/fcimb.2022.1012105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/04/2022] [Indexed: 11/13/2022] Open
Abstract
Shigella sonnei is the most common Shigella spp. in developed areas and the second most common in undeveloped regions. In this study, a multiple cross displacement amplification (MCDA) assay was used in combination with a lateral flow biosensor (LFB) assay to detect virulent S. sonnei strains containing the ipaH and wbgX genes. The multiplex MCDA-LFB assay detected wbgX at ≥1 pg/μL and ipaH at ≥10 fg/μL within 30 min in pure cultures maintained at 63°C. This assay was sensitive for ~37 CFU of virulent S. sonnei and ~3.7 CFU of Shigella spp. and enteroinvasive E. coli in stimulated fecal samples and had 100% specificity among 59 reference strains. The MCDA-LFB assay was also able to differentiate between virulent S. sonnei and other Shigella spp. and enteroinvasive E. coli among 99 clinical isolates. In summary, a multiplex MCDA-LFB assay was developed for rapid, convenient, point-of-care, and accurate identification of virulent S. sonnei within 30 min and at a constant temperature without the need for expensive lab equipment.
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Affiliation(s)
- Yonglu Wang
- Ma’anshan Center for Disease Control and Prevention, Ma’anshan, China
- Pishan County Center for Disease Control and Prevention, Hotan Prefecture, China
| | - Ziqiang He
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Patigul Ablimit
- Pishan County Center for Disease Control and Prevention, Hotan Prefecture, China
| | - Shunshi Ji
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- *Correspondence: Dong Jin,
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41
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Zhou J, Wang X, Xu M, Yang J, Lai XH, Jin D, Lu S, Pu J, Yang C, Zhang S, Tao Y, Zhang Z, Liu L, Xu J. Nocardioides ochotonae sp. nov., Nocardioides campestrisoli sp. nov. and Nocardioides pantholopis sp. nov., isolated from the Qinghai-Tibet Plateau. Int J Syst Evol Microbiol 2022; 72. [PMID: 36208423 DOI: 10.1099/ijsem.0.005507] [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: 06/16/2023] Open
Abstract
Six Gram-stain-positive, aerobic and irregular-rod-shaped actinobacteria (ZJ1313T, ZJ1307, MC1495T, Y192, 603T and X2025) were isolated from the Qinghai-Tibet Plateau of China and were characterized using a polyphasic taxonomic method. Phylogenetic analysis based on 16S rRNA gene sequences indicated that the six new strains formed three distinct clusters within the genus Nocardioides, and strains ZJ1313T and ZJ1307 were most closely related to N. solisilvae JCM 31492T (16S rRNA gene sequence similarity, 98.0 %), MC1495T and Y192 to N. houyundeii 78T (98.5 %), and 603T and X2025 to N. dokdonensis JCM 14815T (97.6 %). The digital DNA-DNA hybridization values of strains ZJ1313T, MC1495T and 603T among each other and with type strains of their closest relatives were all below the 70 % cut-off point, but values within each pair of new strains were all higher than the threshold. The major fatty acids of these strains were iso-C16 : 0, C17 : 1 ω8c or C18 : 1 ω9c. MK-8(H4) was the predominant respiratory menaquinone and ʟʟ-2,6-diaminopimelic acid was the diagnostic diamino acid. All the strains shared diphosphatidylglycerol (predominant), phosphatidylglycerol, phosphatidylcholine and phosphatidylinositol as the common polar lipids, with minor difference in the types of unidentified phospholipids, glycolipids and lipids. The G+C contents based on genomic DNA of strains ZJ1313T, MC1495T and 603T were 72.5, 72.1 and 73.2 mol%, respectively. The above results suggested that strain pairs ZJ1313T/ZJ1307, MC1495T/Y192 and 603T/X2025 represent three new species of genus Nocardioides, for which the names Nocardioides ochotonae sp. nov. (ZJ1313T=GDMCC 4.177T=KCTC 49537T=JCM 34185T), Nocardioides campestrisoli sp. nov. (MC1495T=GDMCC 4.176T=KCTC 49536T=JCM 34307T) and Nocardioides pantholopis sp. nov. (603T=CGMCC 4.7510T=DSM 106494T) are proposed accordingly.
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Affiliation(s)
- Juan Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Xiaoxia Wang
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya 572000, Hainan Province, PR China
| | - Mingchao Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu Province, PR China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai 201508, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Xin-He Lai
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, Shangqiu Normal University, Shangqiu 476000, Henan Province, PR China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai 201508, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai 201508, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Caixin Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan 030001, Shanxi Province, PR China
| | - Sihui Zhang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, PR China
| | - Yuanmeihui Tao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Zehui Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai 201508, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, PR China
- Research Institute of Public Health, Nankai University, Tianjin 300350, PR China
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42
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Zhang G, Lv X, Cheng Y, Lai XH, Yang J, Jin D, Lu S, Pu J, Liu L, Xu J. New members of the family Eggerthellaceae isolated from Marmota himalayana: Xiamenia xianingshaonis gen. nov., sp. nov., from intestinal contents, and Berryella wangjianweii sp. nov., from trachea. Int J Syst Evol Microbiol 2022; 72. [DOI: 10.1099/ijsem.0.005509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Four strictly anaerobic, Gram-stain-positive, urease-, oxidase- and catalase-negative, rod-shaped strains (zg-886T/zg-887 and zg-1050T/zg-1084) were isolated from Marmota himalayana. Comparison analysis of 16S rRNA genes showed that the two strain pairs belong to the family
Eggerthellaceae
: zg-1050T and zg-1084 were most closely related to
Berryella intestinalis
68-1-3T (97.2 %), while zg-886T/zg-887 had the highest similarity to
Slackia piriformis
YIT 12062T (91.6 %), followed by
Paraeggerthella hongkongensis
DSM 16106T (91.4 %) and
Gordonibacter urolithinfaciens
DSM 27213T (91.4 %). Phylogenetic analyses based on 16S rRNA genes and genomes showed that the two strain pairs represent two different lineages within the family
Eggerthellaceae
. The genomic G+C contents of strains zg-886T and zg-1050T were 63.0 and 66.3 mol%, respectively. The values of digital DNA–DNA hybridization, average nucleotide identity, average amino acid identity and the percentage of conserved proteins between the two new type strains and members of the family
Eggerthellaceae
were lower than the respective thresholds for delineation of a species or genus. In contrast to the absence of any known quinones in strain zg-1050T, strain zg-886T contained MK-6 (42.5 %), MMK-6 (25.0 %) and DMMK-6 (32.5 %). The four strains grew optimally at pH 7.0, 37 ºC and 0.5 % NaCl (w/v). According to these polyphasic analyses, two new members within the family
Eggerthellaceae
are proposed, Xiamenia xianingshaonis gen. nov., sp. nov. (zg-886T=JCM 34097T=GDMCC 1.1710T) and Berryella wangjianweii sp. nov. (zg-1050T=GDMCC 1.2426T=JCM 34748T).
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Affiliation(s)
- Gui Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
| | - Xianglian Lv
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
| | - Yanpeng Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Xin-He Lai
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, Shangqiu Normal University, Shangqiu 476000, PR China
| | - Jing Yang
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Dong Jin
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Shan Lu
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
| | - Jianguo Xu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, PR China
- Institute of Public Health, Nankai University, Tianjin 300071, PR China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 102206, PR China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, PR China
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43
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Li L, Wen Z, Kou N, Liu J, Jin D, Wang L, Wang F, Gao L. LIS1 interacts with CLIP170 to promote tumor growth and metastasis via the Cdc42 signaling pathway in salivary gland adenoid cystic carcinoma. Int J Oncol 2022; 61:129. [PMID: 36102310 PMCID: PMC9477107 DOI: 10.3892/ijo.2022.5419] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 08/05/2022] [Indexed: 11/20/2022] Open
Abstract
Salivary gland adenoid cystic carcinoma (SACC) is one of the most common malignant tumors, with high aggressive potential in the oral and maxillofacial regions. Lissencephaly 1 (LIS1) is a microtubule-organizing center-associated protein that regulates the polymerization and stability of microtubules by mediating the motor function of dynein. Recent studies have suggested that LIS1 plays a potential role in the malignant development of tumors, such as in mitosis and migration. However, the role of LIS1 in SACC development and its related molecular mechanisms remain unclear. Thus, the effects of LIS1 on the proliferation, apoptosis, invasion and metastasis of SACC were studied, in vivo and in vitro. The results of immunohistochemical staining showed that LIS1 was highly expressed in SACC tissues, and its expression level was associated with malignant progression. In vitro, the results of CCK-8, TUNEL, wound healing and Transwell assays demonstrated that LIS1 promotes proliferation, inhibits apoptosis, and enhances the migration and invasion of SACC-LM cells. In vivo, knockdown of LIS1 effectively suppressed the growth of subcutaneous tumors in a mouse xenograft and distant metastasis of tumor cells in the metastasis model. The co-immunoprecipitation, immunofluorescence and western blot results also revealed that LIS1 binds to cytoplasmic linker protein 170 (CLIP170) to form a protein complex (LIS1/CLIP170), which activates the cell division control protein 42 homolog (Cdc42) signaling pathway to modulate the proliferation and anti-apoptosis of tumor cells, and enhanced invasion and metastasis by regulating the formation of invadopodia and the expression of MMPs in SACC-LM cells. Therefore, the present study demonstrated that LIS1 is a cancer promoter in SACC, and the molecular mechanism of the LIS1/CLIP170/Cdc42 signaling pathway is involved in the malignant progression, which offers a promising strategy for targeted therapy of SACC.
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Affiliation(s)
- Lijun Li
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Zhihao Wen
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Ni Kou
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Jing Liu
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Dong Jin
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Lina Wang
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Fu Wang
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Lu Gao
- School of Stomatology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
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44
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Huang Y, Dong L, Gong J, Yang J, Lu S, Lai XH, Jin D, Huang Q, Pu J, Liu L, Xu J. Phenotypic and genomic characteristics of Brevibacterium zhoupengii sp. nov., a novel halotolerant actinomycete isolated from bat feces. J Microbiol 2022; 60:977-985. [PMID: 35984616 PMCID: PMC9390107 DOI: 10.1007/s12275-022-2134-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 07/22/2022] [Accepted: 07/26/2022] [Indexed: 11/24/2022]
Abstract
Two strictly aerobic, Gram-staining-positive, non-spore-forming, regular rod-shaped (approximately 0.7 × 1.9 mm) bacteria (HY170T and HY001) were isolated from bat feces collected from Chongzuo city, Guangxi province (22°20′54″N, 106°49′20″E, July 2011) and Chuxiong Yi Autonomous Prefecture, Yunnan province (25°09′10″N, 102°04′39″E, October 2013) of South China, respectively. Optimal growth is obtained at 25–28°C (range, 4–32°C) on BHI-5% sheep blood plate with pH 7.5 (range, 5.0–10.0) in the presence of 0.5–1.0% NaCl (w/v) (range, 0–15% NaCl [w/v]). The phylogenetic and phylogenomic trees based respectively on the 16S rRNA gene and 845 core gene sequences revealed that the two strains formed a distinct lineage within the genus Brevibacterium, most closely related to B. aurantiacum NCDO 739T (16S rRNA similarity, both 98.5%; dDDH, 46.7–46.8%; ANI, 91.9–92.1%). Strain HY170T contained MK-8(H2), diphosphatidylglycerol (DPG) and phosphatidylglycerol (PG), galactose and ribose as the predominant menaquinone, major polar lipids, and main sugars in the cell wall teichoic acids, respectively. The meso-diaminopimelic acid (meso-DAP) was the diagnostic diamino acid of the peptidoglycan found in strain HY170T. Anteiso-C15:0 and anteiso-C17:0 were the major fatty acids (> 10%) of strains HY170T and HY001, with anteiso-C17:1A predominant in strain HY170T but absent in strain HY001. Mining the genomes revealed the presence of secondary metabolite biosynthesis gene clusters encoding for non-alpha poly-amino acids (NAPAA), ectoine, siderophore, and terpene. Based on results from the phylogenetic, chemotaxonomic and phenotypic analyses, the two strains could be classified as a novel species of the genus Brevibacterium, for which the name Brevibacterium zhoupengii sp. nov. is proposed (type strain HY170T = CGMCC 1.18600T = JCM 34230T).
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Affiliation(s)
- Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Lingzhi Dong
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
| | - Jian Gong
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, China
| | - Xin-He Lai
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, Shangqiu Normal University, Shangqiu, 476000, China
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, China
| | - Qianni Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Collaborative Innovation Center for Biomedicine, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China.
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 102206, China.
- Research Institute of Public Health, Nankai University, Tianjin, 300350, China.
- Peking University School of Public Health, Beijing, 100083, China.
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45
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Liang J, Zhu Z, Lan R, Meng J, Vrancken B, Lu S, Jin D, Yang J, Wang J, Qin T, Pu J, Zhang L, Dong K, Xu M, Tian H, Jiang T, Xu J. Evolutionary and genomic insights into the long-term colonization of Shigella flexneri in animals. Emerg Microbes Infect 2022; 11:2069-2079. [PMID: 35930371 PMCID: PMC9448383 DOI: 10.1080/22221751.2022.2109514] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The enteroinvasive bacterium Shigella flexneri is known as a highly host-adapted human pathogen. There had been no known other reservoirs reported until recently. Here 34 isolates obtained from animals (yaks, dairy cows and beef cattle) from 2016-2017 and 268 human S. flexneri isolates from China were sequenced to determine the relationships between animal and human isolates and infer the evolutionary history of animal-associated S. flexneri. The 18 animal isolates (15 yak and 3 beef cattle isolates) in PG1 were separated into 4 lineages, and the 16 animal isolates (1 yak, 5 beef cattle and 10 dairy cow isolates) in PG3 were clustered in 8 lineages. The most recent human isolates from China belonged to PG3 whereas Chinese isolates from the 1950s-1960s belonged to PG1. PG1 S. flexneri may has been transmitted to the yaks during PG1 circulation in the human population in China and has remained in the yak population since, while PG3 S. flexneri in animals were likely recent transmissions from the human population. Increased stability of the large virulence plasmid and acquisition of abundant antimicrobial resistance determinants may have enabled PG3 to expand globally and replaced PG1 in China. Our study confirms that animals may act as a reservoir for S. flexneri. Genomic analysis revealed the evolutionary history of multiple S. flexneri lineages in animals and humans in China. However, further studies are required to determine the public health threat of S. flexneri from animals.
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Affiliation(s)
- Junrong Liang
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen Zhu
- College of Life Science and Food Engineering, Hebei University of Engineering, Handan, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Jing Meng
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Bram Vrancken
- Department of Microbiology and Immunology, Rega Institute, Laboratory of Evolutionary and Computational Virology, KU Leuven, Leuven, Belgium
| | - Shan Lu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Dong Jin
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Yang
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Jianping Wang
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tian Qin
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ji Pu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Zhang
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Kui Dong
- Shanxi Eye Hospital, Taiyuan, China
| | - Mingchao Xu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiyu Tian
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
| | - Taijiao Jiang
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China.,Guangzhou Laboratory, Guangzhou, China
| | - Jianguo Xu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China.,Research Institute of Public Heath, Nankai University, Tianjin, China
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Zhao Q, Jin D, Yuan H. Correlation between glenoid bone structure and recurrent anterior dislocation of the shoulder joint. Folia Morphol (Warsz) 2022; 82:712-720. [PMID: 35818805 DOI: 10.5603/fm.a2022.0067] [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: 05/26/2022] [Revised: 06/30/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND The aim of the study was to investigate the anatomical characteristics and symmetry of the bilateral glenoid structures of Chinese people and to explore the relationship between the glenoid bone structure and recurrent anterior dislocation. MATERIALS AND METHODS The control group included 131 individuals with no history of shoulder dislocation. The dislocation group consisted of 131 patients with a history of unilateral shoulder dislocation. All subjects underwent computed tomography scans. Glenoid shape (pear-shaped, inverted comma-shaped, oval-shaped), width, height, depth, version angle, area, maximum fitting circle area and volume were measured. RESULTS There was no significant difference in normal bilateral glenoid of Chinese people (p > 0.05). There were statistically significant differences in depth, height to width ratio, maximum fitting circle area and shape between the dislocation and control groups (p < 0.05). Regression analyses showed that the glenoid depth (odds ratio [OR] 0.48; p < 0.01), the glenoid height to width ratio (OR 28.61; p < 0.01), the glenoid maximum fitting circle area (OR 1.01; p < 0.01) and the glenoid shape (p <0.05; pear-shaped OR 0.432; inverted comma-shaped OR 0.954) were associated with anterior shoulder instability. Pear-shaped and inverted comma-shaped glenoid had lower risk of recurrent anterior shoulder dislocation compared to oval glenoid. Receiver operating characteristic curve analysis showed that individuals with anterior shoulder instability had smaller glenoid depth and larger height to width ratio and the glenoid maximum fitting circle area compared with the control group. CONCLUSIONS The normal bilateral glenoids of Chinese people are basically symmetrical. The glenoid shape, depth, height to width ratio and maximum fitting circle area are risk factors for recurrent anterior shoulder dislocation. Evaluation of the glenoid bone structure enables more accurate prediction of the risk of recurrent shoulder dislocation.
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Affiliation(s)
- Q Zhao
- Department of Radiology, Peking University Third Hospital, China.
| | - D Jin
- Department of Radiology, Peking University Third Hospital, China
| | - H Yuan
- Department of Radiology, Peking University Third Hospital, China
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Yang C, Lian X, Cheng Y, Jiao Y, Yang J, Dong K, Lu S, Lai XH, Jin D, Zheng H, Pu J, Wang S, Liu L, Xu J. Flaviflexus equikiangi sp. nov. isolated from faeces of Equus kiang (Tibetan wild ass) and carrying a class 1 integron gene cassette in its genome. J Microbiol 2022; 60:585-593. [DOI: 10.1007/s12275-022-1673-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/17/2022] [Accepted: 03/03/2022] [Indexed: 10/18/2022]
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Dong F, Jin D, Zhao X, Han J, Lu W. A non-cooperative game approach to the robust control design for a class of fuzzy dynamical systems. ISA Trans 2022; 125:119-133. [PMID: 34238520 DOI: 10.1016/j.isatra.2021.06.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 06/13/2023]
Abstract
Aiming at the time-varying bounded uncertainty in the mechanical system and the problem of excessive control gain caused by the "worst case", a robust control with tunable parameters that can be used to compensate for the uncertainty is proposed. The proposed control can guarantee that the system has uniform boundedness and uniform ultimate boundedness. Besides, the fuzzy set theory is used to describe the uncertainty to avoid introducing any IF-THEN fuzzy logic rules or probability theory. Based on the non-cooperative game theory, the parameters of the proposed control are optimized. We treat mutually independent parameters to be optimized as players, then design performance indexes for each parameter as its cost function, and solve the optimal result by the definition of Nash equilibrium. Finally, taking the trajectory tracking control of omnidirectional mobile platform as an example, the feasibility of the optimization method and the effectiveness of the control are verified by comparing with the other two control methods.
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Affiliation(s)
- Fangfang Dong
- School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, PR China; Anhui Engineering Laboratory of Intelligent CNC Technology and Equipment, Hefei, Anhui, 230009, PR China
| | - Dong Jin
- School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, PR China; Anhui Engineering Laboratory of Intelligent CNC Technology and Equipment, Hefei, Anhui, 230009, PR China
| | - Xiaomin Zhao
- School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, Anhui, 230009, PR China.
| | - Jiang Han
- School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, PR China; Anhui Engineering Laboratory of Intelligent CNC Technology and Equipment, Hefei, Anhui, 230009, PR China
| | - Wei Lu
- Anhui Jiexun Optoelectronic Technology Co., Ltd, Hefei, Anhui, 230009, PR China
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Wang Y, Fu M, Zhang X, Jin D, Zhu S, Wang Y, Wu Z, Bao J, Cheng X, Yang L, Xie L. Cubic Nanogrids for Counterbalance Contradiction among Reorganization Energy, Strain Energy, and Wide Bandgap. J Phys Chem Lett 2022; 13:4297-4308. [PMID: 35532545 DOI: 10.1021/acs.jpclett.2c00827] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Molecular cross-scale gridization and polygridization of organic π-backbones make it possible to install 0/1/2/3-dimensional organic wide-bandgap semiconductors (OWBGSs) with potentially ZnO-like fascinating multifunctionality such as optoelectronic and piezoelectronic features. However, gridization effects are limited to uncover, because the establishment of gridochemistry still requires a long time, which offers a chance to understand the effects with a theoretical method, together with data statistics and machine learning. Herein, we demonstrate a state-of-the-art 3D cubic nanogridon with a size of ∼2 × 2 × 1.5 nm3 to examine its multigridization of π-segments on the bandgap, molecular strain energy (MSE), as well as reorganization energy (ROE). A cubic gridon (CG) consists of a four-armed bifluorene skeleton and a thiophene-containing fused arene plane with the Csp3 spiro-linkage, which can be deinstalled into face-on or edge-on monogrids. As a result, multigridization does not significantly reduce bandgaps (Eg ≥ 4.03 eV), while the MSE increases gradually from 4.72 to 23.83 kcal/mol. Very importantly, the ROE of a CG exhibits an extreme reduction down to ∼28 meV (λ+) that is near the thermal fluctuation energy (∼26 meV). Our multigridization results break through the limitation of the basic positively proportional relationship between reorganization energies and bandgaps in organic semiconductors. Furthermore, multigridization makes it possible to keep the ROE small under the condition of a high MSE in OWBGS that will guide the cross-scale design of multifunctional OWBGSs with both inorganics' optoelectronic performance and organics' mechanical flexibility.
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Affiliation(s)
- Yongxia Wang
- Center for Molecular Systems & Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Mingyang Fu
- Center for Molecular Systems & Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Xiaofei Zhang
- Institute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China
| | - Dong Jin
- Center for Molecular Systems & Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Shiyuan Zhu
- Center for Molecular Systems & Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Yucong Wang
- Center for Molecular Systems & Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhenyu Wu
- School of Internet of Things, Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Jianmin Bao
- School of Internet of Things, Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Xiaogang Cheng
- School of Communications and Information Engineering, Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Lei Yang
- Center for Molecular Systems & Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Linghai Xie
- Center for Molecular Systems & Organic Devices (CMSOD), Key Laboratory for Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
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Zhao Y, Tao H, Liu Y, Sha G, Yi X, Qin Q, Jin D, He C, Wu X, Zhou Q. Effectiveness and Clinical Value of Laparoscopic Cholecystectomy and Cholangiography in the Diagnosis of Biliary Calculi. Front Surg 2022; 9:880266. [PMID: 35574533 PMCID: PMC9091961 DOI: 10.3389/fsurg.2022.880266] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/01/2022] [Indexed: 11/13/2022] Open
Abstract
Objective To investigate the effectiveness and clinical value of cholangiography in the diagnosis of bile duct stones in laparoscopic cholecystectomy. Methods 200 patients who underwent laparoscopic cholecystectomy in our hospital from January 2017 to January 2019 were randomly divided into research group and control group, with 100 cases in each group. The research group underwent choledochotomy and exploration with the help of choledochoscope, while the control group underwent cholangiography to diagnose bile duct stones. The cure rate, residual stone rate, complication rate, intraoperative bleeding, hospital stay and patient satisfaction were compared between the two groups. Results in the control group, 9 cases were converted to laparotomy, 20 cases of common bile duct stones, 10 cases of bile duct injury and 6 cases of common bile duct variation. In the research group, there were 2 cases of conversion to laparotomy, 12 cases of common bile duct stones, 2 cases of bile duct injury and 4 cases of common bile duct variation. The cure rate of the researchgroup was higher than that of the control group, There was significant difference between the two groups (P < 0.05). The residual amount of stones in the research group was lower than that in the control group, and there was significant difference between the two groups (P < 0.05). The incidence of postoperative complications in the research group was lower than that in the control group, and there was significant difference between the two groups (P < 0.05). The patient satisfaction in the research group was higher than that in the control group, and there was significant difference between the two groups (P < 0.05). The intraoperative blood output of the research group was lower than that of the observation group, and there was significant difference between the two groups (P < 0.05). Conclusion cholangiography is an effective method for the diagnosis of bile duct stones in laparoscopic cholecystectomy. Clarifying the variation and anatomical structure of bile duct is helpful to improve the surgical cure rate, reduce the residual rate of postoperative stones and the incidence of complications, reduce the amount of intraoperative bleeding, shorten the hospital stay, and promote the postoperative rehabilitation of patients.
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Affiliation(s)
- Yunqing Zhao
- Department of General Surgery, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
| | - Hongbo Tao
- Department of Anesthesiology, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
| | - Yanqin Liu
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
- *Correspondence: Yanqin Liu
| | - Gen Sha
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
- Gen Sha
| | - Xianyun Yi
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
| | - Qin Qin
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
| | - Dong Jin
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
| | - Chengjie He
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
| | - Xianghong Wu
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
| | - Qing Zhou
- Operating Room, Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital), Wuhan, China
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