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Duan R, Lyu D, Qin S, Liang J, Gu W, Duan Q, Wu W, Tang D, Han H, Zheng X, Xi J, Bukai A, Lu X, Zhang P, Zhang D, Xiao M, Jing H, Wang X. Pasteurella multocida strains of a novel capsular serotype and lethal to Marmota himalayana on Qinghai-Tibet plateau in China. Int J Med Microbiol 2024; 314:151597. [PMID: 38217947 DOI: 10.1016/j.ijmm.2024.151597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/16/2023] [Accepted: 01/02/2024] [Indexed: 01/15/2024] Open
Abstract
Pasteurella multocida is a zoonotic pathogen causing serious diseases in humans and animals. Here, we report P. multocida from wildlife on China's Qinghai-Tibet plateau with a novel capsular serotype, forming a single branch on the core-genome phylogenetic tree: four strains isolated from dead Himalayan marmot (Marmota himalayana) and one genome assembled from metagenomic sequencing of a dead Woolly hare (Lepus oiostolus). Four of the strains were identified as subspecies multocida and one was septica. The mouse model showed that the challenge strain killed mice within 24 h at an infectious dose of less than 300 bacteria. The short disease course is comparable to septicemic plague: the host has died before more severe pathological changes could take place. Though pathological changes were relatively mild, cytokine storm was obvious with a significant rise of IL-12p70, IL-6, TNF-αand IL-10 (P < 0.05). Our findings suggested P. multocida is a lethal pathogen for wildlife on Qinghai-Tibet plateau, in addition to Yersinia pestis. Individuals residing within the M. himalayana plague focus are at risk for P. multocida infection, and public health warnings are necessitated.
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Affiliation(s)
- Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongyue Lyu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuai Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenpeng Gu
- Yunan Provincial Center for Disease Control and Prevention, Kunming, Yunnan Province, China
| | - Qun Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weiwei Wu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Deming Tang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haonan Han
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojin Zheng
- Akesai Kazakh Autonomous County Center for Disease Control and Prevention, Jiuquan, Gansu Province, China
| | - Jinxiao Xi
- Institute for Plague Prevention and Control, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu Province, China
| | - Asaiti Bukai
- Akesai Kazakh Autonomous County Center for Disease Control and Prevention, Jiuquan, Gansu Province, China
| | - Xinmin Lu
- Akesai Kazakh Autonomous County Center for Disease Control and Prevention, Jiuquan, Gansu Province, China
| | - Peng Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dan Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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Duan Q, Zheng X, Gan Z, Lyu D, Sha H, Lu X, Zhao X, Bukai A, Duan R, Qin S, Wang L, Xi J, Wu D, Zhang P, Tang D, He Z, Jing H, Kan B, Wang X. Relationship Between Climate Change and Marmot Plague of Marmota himalayana Plague Focus - the Altun Mountains of the Qinghai-Xizang Plateau, China, 2000-2022. China CDC Wkly 2024; 6:69-74. [PMID: 38313817 PMCID: PMC10832154 DOI: 10.46234/ccdcw2024.015] [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] [Received: 12/10/2023] [Accepted: 01/24/2024] [Indexed: 02/06/2024] Open
Abstract
Introduction Plague is a zoonotic disease that occurs naturally in specific geographic areas. Climate change can influence the populations of the plague host or vector, leading to variations in the occurrence and epidemiology of plague in animals. Methods In this study, we collected meteorological and plague epidemiological data from the Marmota himalayana plague focus in the Altun Mountains of the Qinghai-Xizang Plateau. The data spanned from 2000 to 2022. We describe the climatic factors and plague epidemic conditions and we describe their analysis by Pearson's correlation. Results During the period from 2000 to 2022, the isolation rates of Yersinia pestis (Y.pestis) from marmots and fleas were 9.27% (451/4,864) and 7.17% (118/1,646), respectively. Additionally, we observed a positive rate of F1 antibody of 11.25% (443/3,937) in marmots and 18.16% (142/782) in dogs. With regards to climate, there was little variation, and a decreasing trend in blowing-sand days was observed. The temperature in the previous year showed a negative correlation with the Y. pestis isolation rate in marmots (r=-0.555, P=0.011) and the positive rate of F1 antibody in marmots (r=-0.552, P=0.012) in the current year. The average annual precipitation in the previous two years showed a positive correlation with marmot density (r=0.514, P=0.024), while blowing-sand days showed a negative correlation with marmot density (r=-0.701, P=0.001). Furthermore, the average annual precipitation in the previous three years showed a positive correlation with the isolation rate of Y. pestis from marmots (r=0.666, P=0.003), and blowing-sand days showed a negative correlation with marmot density (r=-0.597, P=0.009). Conclusions The findings of this study indicate that there is a hysteresis effect of climate change on the prevalence of plague. Therefore, monitoring climate conditions can offer significant insights for implementing timely preventive and control measures to combat plague epidemics.
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Affiliation(s)
- Qun Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojin Zheng
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China
| | - Zhiqiang Gan
- Jiuquan Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China
| | - Dongyue Lyu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hanyu Sha
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinmin Lu
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China
| | - Xiaoling Zhao
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China
| | - Asaiti Bukai
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuai Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Wang
- Jiuquan Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China
| | - Jinxiao Xi
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province, China
| | - Di Wu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Deming Tang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaokai He
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Biao Kan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Meng Z, Duan R, Lv D, Bu G, Gao Y, Zhang P, Sun Y, Guo G, Qin S, Sun L, Zhang D, Liang J, Jing H, Wang X. Rare case of bacteremia due to Lysinibacillus sphaericus in a person living with HIV. Int J Infect Dis 2023; 135:91-94. [PMID: 37595679 DOI: 10.1016/j.ijid.2023.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/11/2023] [Accepted: 08/13/2023] [Indexed: 08/20/2023] Open
Abstract
Lysinibacillus sphaericus, as an insect pathogen, is a ubiquitous Gram-positive bacterium present in the environment. It is often considered to be contaminating bacteria. L. sphaericus has been reported to cause infectious diseases in humans relatively rarely. We report a rare case of bacteremia due to L. sphaericus in a person living with HIV, which is also the first reported case of bacteremia caused by L. sphaericus in China. L. sphaericus easily causes infection in immunocompromised individuals. We found that L. sphaericus and Lysinibacillus fusiformis could not be distinguished by their 16S ribosomal RNA gene sequence. We performed a genome-wide analysis of the isolated strains of this case and predicted the virulence factors. Finally, L. sphaericus was confirmed. According to antimicrobial susceptibility test, the strain was found to be sensitive to levofloxacin and vancomycin but resistant to penicillin. Greater attention to L. sphaericus infection should be paid and immunocompromised populations should be protected from L. sphaericus infection.
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Affiliation(s)
- Zhaoqian Meng
- Fuyang Municipal Center for Disease Control and Prevention, Fuyang City, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongyue Lv
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ge Bu
- Fuyang Municipal Center for Disease Control and Prevention, Fuyang City, China
| | - Yan Gao
- Yingshang County People's Hospital, Fuyang City, China
| | - Peng Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Sun
- Anhui Provincial Center for Disease Control and Prevention, Hefei City, China
| | - Guoxia Guo
- Fuyang Municipal Center for Disease Control and Prevention, Fuyang City, China
| | - Shuai Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liang Sun
- Fuyang Municipal Center for Disease Control and Prevention, Fuyang City, China
| | - Dan Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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Qin S, Lv D, Duan R, Zheng X, Bukai A, Lu X, Duan Q, Yu M, Jing H, Wang X. Case report: A case of brucellosis misdiagnosed as coronavirus disease 2019/influenza in China. Front Public Health 2023; 11:1186800. [PMID: 37724314 PMCID: PMC10505428 DOI: 10.3389/fpubh.2023.1186800] [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: 03/15/2023] [Accepted: 08/14/2023] [Indexed: 09/20/2023] Open
Abstract
Brucellosis is an important zoonosis and a multisystem disease. The signs and symptoms of brucellosis are not specific. In the clinical, brucellosis is often ignored and misdiagnosed. We report a case of brucellosis who was misdiagnosed as coronavirus disease 2019 (COVID-19)/influenza and received delayed treatment during strict COVID-19 control. The neglect of other diseases due to COVID-19 and empirical diagnosis and treatment by medical staff are part of the reasons for misdiagnosis. Otherwise, the normal erythrocyte sedimentation rate (ESR), increased white blood cell count (WBC), and increased neutrophil count (NEUT) of this patient was also a cause of misdiagnosis, which is an important reminder for diagnosis. For patients with the unknown origin of fever and other symptoms related to brucellosis, especially those from endemic areas of brucellosis, brucellosis screening is a priority item, and grassroots doctors should be vigilant and standardize the diagnosis and treatment based on epidemiology history, clinical manifestation, and laboratory tests according to the diagnostic criteria of brucellosis.
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Affiliation(s)
- Shuai 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
| | - Dongyue 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, China
| | - Ran Duan
- 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
| | - Xiaojin Zheng
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Asaiti Bukai
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Xinmin Lu
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Qun Duan
- 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
| | - Mingrun Yu
- Taizhou Center for Disease Control and Prevention, Taizhou, China
| | - Huaiqi Jing
- 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
| | - Xin 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
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Liang J, Duan R, Qin S, Lv D, He Z, Zhang H, Duan Q, Xi J, Chun H, Fu G, Zheng X, Tang D, Wu W, Han H, Jing H, Wang X. The complex genomic diversity of Yersinia pestis on the long-term plague foci in Qinghai-Tibet plateau. Ecol Evol 2023; 13:e10387. [PMID: 37529582 PMCID: PMC10375460 DOI: 10.1002/ece3.10387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 06/15/2023] [Accepted: 07/20/2023] [Indexed: 08/03/2023] Open
Abstract
Plague is a typical natural focus disease that circulates in different ecology of vectors and reservoir hosts. We conducted genomic population and phylogenetic analyses of the Yersinia pestis collected from the 12 natural plague foci in China with more than 20 kinds of hosts and vectors. Different ecological landscapes with specific hosts, vectors, and habitat which shape various niches for Y. pestis. The phylogeographic diversity of Y. pestis in different kinds plague foci in China showed host niches adaptation. Most natural plague foci strains are region-and focus-specific, with one predominant subpopulation; but the isolates from the Qinghai-Tibet plateau harbor a higher genetic diversity than other foci. The Y. pestis from Marmota himalayana plague foci are defined as the ancestors of different populations at the root of the evolutionary tree, suggesting several different evolutionary paths to other foci. It has the largest pan-genome and widest SNP distances with most accessory genes enriched in mobilome functions (prophages, transposons). Geological barriers play an important role in the maintenance of local Y. pestis species and block the introduction of non-native strains. This study provides new insights into the control of plague outbreaks and epidemics, deepened the understanding of the evolutionary history of MHPF (M. himalayana plague focus) in China. The population structure and identify clades among different natural foci of China renewed the space cognition of the plague.
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Affiliation(s)
- Junrong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Ran Duan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Shuai Qin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Dongyue Lv
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Zhaokai He
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Haoran Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Qun Duan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Jinxiao Xi
- Gansu Provincial Center for Disease Control and PreventionLanzhouChina
| | - Hua Chun
- Subei Mongolian Autonomous County Center for Disease Control and PreventionJiuquanChina
| | - Guoming Fu
- Subei Mongolian Autonomous County Center for Disease Control and PreventionJiuquanChina
| | - Xiaojin Zheng
- Akesai Kazakh Autonomous County Center for Disease Control and PreventionJiuquanChina
| | - Deming Tang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Weiwei Wu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Haonan Han
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Xin Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
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Hu S, Xie W, Cheng Q, Zhang X, Dong X, Jing H, Wang J. Molecular eidemiology of carbapenem-resistant Enterobacter cloacae complex in a tertiary hospital in Shandong, China. BMC Microbiol 2023; 23:177. [PMID: 37407923 DOI: 10.1186/s12866-023-02913-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 06/27/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND The increasing incidence and prevalence of carbapenem-resistant Enterobacter cloacae complex (CREC) poses great challenges to infection prevention and disease treatment. However, much remains unknown about the clinical characteristics of CREC isolates. Our objective was to characterize antimicrobial resistance and, carbapenemase production in CREC with 36 CREC isolates collected from a tertiary hospital in Shandong, China. RESULTS Three types of carbapenemases (NDM, IMP and VIM) were detected in these isolates. Among them, NDM carbapenemases were most prevalent, with a 61.2% (22/36) detection rate for NDM-1, 27.8% (10/36) for NDM-5 and 2.8% (1/36) for NDM-7. IMP-4 was found in two isolates and VIM-1 in only one isolate. The MLST analysis identified 12 different sequence types (STs), of which ST171 (27.8%) was the most prevalent, followed by ST418 (25.0%). ST171 isolates had significantly higher rates of resistance than other STs to gentamicin and tobramycin (Ps < 0.05), and lower rates of resistance to aztreonam than ST418 and other STs (Ps < 0.05). Among 17 carbapenemase-encoding genes, the blaNDM-5 gene was more frequently detected in ST171 than in ST418 and other isolates (Ps < 0.05). In contrast, the blaNDM-1 gene was more frequently seen in ST418 than in ST171 isolates. One novel ST (ST1965) was identified, which carried the blaNDM-1 gene. CONCLUSION NDM-5 produced by ST171 and NDM-1 carbapenemase produced by ST418 were the leading cause of CREC in this hospital. This study enhances the understanding of CREC strains and helps improve infection control and treatment in hospitals.
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Affiliation(s)
- Shengnan Hu
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, Shandong, China
| | - Wenyan Xie
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, Shandong, China
| | - Qiwen Cheng
- Biodesign Center for Health Through Microbiomes, Arizona State University, Tempe, AZ, 85287, USA
| | - Xiaoning Zhang
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, Shandong, China
| | - Xiutao Dong
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, Shandong, China
| | - Huaiqi Jing
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, 102206, People's Republic of China
| | - Jiazheng Wang
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, Shandong, China.
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Guo J, Duan R, Zhang D, Zhang P, Qin S, Fang Y, Sun Y, Lu L, Jing H, Wang X, Jiang R, Kan B. Persistent Urinary Tract Infection in Association with Community-Acquired NDM-5 Escherichia coli Clonal Group Following COVID-19 Infection - Beijing Municipality, China, 2023. China CDC Wkly 2023; 5:565-571. [PMID: 37457852 PMCID: PMC10346097 DOI: 10.46234/ccdcw2023.110] [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] [Received: 05/14/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
Abstract
What is already known about this topic? The hospital-acquired infections caused by New Delhi metallo-beta-lactamase (NDM)-producing strains are typically attributed to a single clonal lineage. What is added by this report? In this study, we encountered a unique case of community-acquired NDM-5 Escherichia coli urinary tract infection (UTI) following coronavirus disease 2019 (COVID-19). The UTI persisted for a duration of at least 45 days. Genomic analyses revealed the presence of two NDM-5 strains, both sharing an identical chromosomal background but distinct, homologous, and recombined plasmids. This case suggests that a diverse range of resistance genes may be present within the human body, with drug-resistant strains undergoing continuous evolution during infection. The intestinal tract may have been its drug-resistant gene pool. What are the implications for public health practice? The observations presented in this case indicate that the endogenous acquisition of drug-resistant genes may also be an issue in managing multidrug-resistant organisms (MDRO). It is possible for continuous recombination to occur within carbapenem-resistant Enterobacteriaceae (CRE) during infection. In contrast to exogenously-acquired resistance, greater attention should be placed on the endogenous factors that contribute to the development of CRE within healthcare settings.
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Affiliation(s)
- Jiazhen Guo
- Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dan Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuai Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yajuan Fang
- Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Yingna Sun
- Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Lianhe Lu
- Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Rongmeng Jiang
- Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Biao Kan
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
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Zhang D, Lv D, Zheng X, Duan R, Qin S, Lu X, Nie L, Zhang P, Han H, Duan Q, Liang J, Xiao M, Jing H, Wang X. Case Report: Screening and Analysis for Brucellosis in Akesai Kazak Autonomous County, China. Am J Trop Med Hyg 2023; 108:1201-1203. [PMID: 37127273 PMCID: PMC10540095 DOI: 10.4269/ajtmh.22-0802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 03/07/2023] [Indexed: 05/03/2023] Open
Abstract
Brucellosis is a common zoonotic disease. For this study, the residents of Akesai Kazak Autonomous County, located in the high altitude of the Altun Mountains region of Gansu Province, were selected. These people rely on traditional animal husbandry for their main income. The prevalence of brucellosis and the change of antibody titer in this high-risk population were analyzed, and information on the epidemic in animals in the county was obtained from data records. One hundred ninety-nine persons were screened and 240 serum samples were collected. Eight persons and 27 serum samples were positive based on the rose bengal plate test, and seven persons were confirmed positive by standard agglutination test; 16,000 sheep were tested, of which 130 from nine different households were serum antibody positive. The results indicate that brucellosis seroprevalence increased among sheep and high-risk populations, and the occurrence of cases corresponded to the epidemic among animals. The incidence of human brucellosis was closely related to occupation, and the cases were mainly distributed among herdsmen and butchers. Most cases were asymptomatic or mild, and the serum antibody titers showed a high initial titer but a rapid decline in young cases, whereas those in older cases were relatively low but showed a slow decline.
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Affiliation(s)
- 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, Beijing, China
| | - Dongyue 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, China
| | - Xiaojin Zheng
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Ran Duan
- 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
| | - Shuai 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
| | - Xinmin Lu
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Longqi Nie
- Akesai Kazak Autonomous County Center for Animal Husbandry and Veterinary Technical Service, Jiuquan, China
| | - Peng 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
| | - Haonan Han
- 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
| | - Qun Duan
- 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
| | - 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
| | - Meng Xiao
- 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
| | - Huaiqi Jing
- 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
| | - Xin 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
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Duan R, Zheng X, Duan Q, Bukai A, Zhang P, Qin S, Lu X, Lyu D, Han H, Zhang D, He Z, Liang J, Tang D, Xi J, Jing H, Wang X. Identification of Novel Bartonella washoensis Sequence Type 22 in Marmota himalayana - Jiuquan City, Gansu Province, China, 2021-2022. China CDC Wkly 2023; 5:442-445. [PMID: 37274768 PMCID: PMC10236644 DOI: 10.46234/ccdcw2023.084] [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] [Received: 04/08/2023] [Accepted: 05/12/2023] [Indexed: 06/06/2023] Open
Abstract
What is already known about this topic? The prevalence of rodent-adapted Bartonella species has been increasing significantly. However, the specific Bartonella species carried by Marmota himalayana (M. himalayana), a large rodent species, and the potential risk it poses to human populations remain unknown. What is added by this report? Bartonella washoensis (B. washoensis), associated with human endocarditis, was initially identified in M. himalayana, exhibiting a detection rate of approximately one-third and demonstrating a predilection for the heart and lungs. The discovery of the novel Sequence Type 22 has expanded both the isolation source and genetic lineage of B. washoensis. What are the implications for public health practice? Individuals residing within the M. himalayana plague focus are at an elevated risk for B. washoensis infection. Consequently, there is a pressing need for public health warnings and efficient clinical case identification in this population.
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Affiliation(s)
- Ran Duan
- 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
| | - Xiaojin Zheng
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Qun Duan
- 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
| | - Asaiti Bukai
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Peng 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
| | - Shuai 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
| | - Xinmin Lu
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Dongyue Lyu
- 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
| | - Haonan Han
- 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
| | - 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, Beijing, China
| | - Zhaokai 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
| | - 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
| | - Deming Tang
- 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
| | - Jinxiao Xi
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Huaiqi Jing
- 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
| | - Xin 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
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10
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Yue Y, Zheng J, Sheng M, Liu X, Hao Q, Zhang S, Xu S, Liu Z, Hou X, Jing H, Liu Y, Zhou X, Li Z. Public health implications of Yersinia enterocolitica investigation: an ecological modeling and molecular epidemiology study. Infect Dis Poverty 2023; 12:41. [PMID: 37085902 PMCID: PMC10120104 DOI: 10.1186/s40249-023-01063-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 02/05/2023] [Indexed: 04/23/2023] Open
Abstract
BACKGROUND Yersinia enterocolitica has been sporadically recovered from animals, foods, and human clinical samples in various regions of Ningxia, China. However, the ecological and molecular characteristics of Y. enterocolitica, as well as public health concerns about infection in the Ningxia Hui Autonomous Region, remain unclear. This study aims to analyze the ecological and molecular epidemiological characteristics of Y. enterocolitis in order to inform the public health intervention strategies for the contains of related diseases. METHODS A total of 270 samples were collected for isolation [animals (n = 208), food (n = 49), and patients (n = 13)], then suspect colonies were isolated and identified by the API20E biochemical identification system, serological tests, biotyping tests, and 16S rRNA-PCR. Then, we used an ecological epidemiological approach combined with machine learning algorithms (general linear model, random forest model, and eXtreme Gradient Boosting) to explore the associations between ecological factors and the pathogenicity of Y. enterocolitis. Furthermore, average nucleotide identity (ANI) estimation, single nucleotide polymorphism (SNP), and core gene multilocus sequence typing (cgMLST) were applied to characterize the molecular profile of isolates based on whole genome sequencing. The statistical test used single-factor analysis, Chi-square tests, t-tests/ANOVA-tests, Wilcoxon rank-sum tests, and Kruskal-Wallis tests. RESULTS A total of 270 isolates of Yersinia were identified from poultry and livestock (n = 191), food (n = 49), diarrhoea patients (n = 13), rats (n = 15), and hamsters (n = 2). The detection rates of samples from different hosts were statistically different (χ2 = 22.636, P < 0.001). According to the relatedness clustering results, 270 isolates were divided into 12 species, and Y. enterocolitica (n = 187) is a predominated species. Pathogenic isolates made up 52.4% (98/187), while non-pathogenic isolates made up 47.6% (89/187). Temperature and precipitation were strongly associated with the pathogenicity of the isolates (P < 0.001). The random forest (RF) prediction model showed the best performance. The prediction result shows a high risk of pathogenicity Y. enterocolitica was located in the northern, northwestern, and southern of the Ningxia Hui Autonomous Region. The Y. enterocolitica isolates were classified into 54 sequence types (STs) and 125 cgMLST types (CTs), with 4/O:3 being the dominant bioserotype in Ningxia. The dominant STs and dominant CTs of pathogenic isolates in Ningxia were ST429 and HC100_2571, respectively. CONCLUSIONS The data indicated geographical variations in the distribution of STs and CTs of Y. enterocolitica isolates in Ningxia. Our work offered the first evidence that the pathogenicity of isolates was directly related to fluctuations in temperature and precipitation of the environment. CgMLST typing strategies showed that the isolates were transmitted to the population via pigs and food. Therefore, strengthening health surveillance on pig farms in high-risk areas and focusing on testing food of pig origin are optional strategies to prevent disease outbreaks.
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Affiliation(s)
- Yuan Yue
- Key Laboratory of the Ministry of Education for the Conservation and Utilization of Special Biological Resources of Western China, Ningxia University, Yinchuan, People's Republic of China
- State Key Laboratory for 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
- Ningxia Hui Autonomous Region Food Testing and Research Institute, Yinchuan, People's Republic of China
| | - Jinxin Zheng
- Department of Nephrology, Ruijin Hospital, Institute of Nephrology, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Mei Sheng
- Ningxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, People's Republic of China
| | - Xiang Liu
- Ningxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, People's Republic of China
| | - Qiong Hao
- Ningxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, People's Republic of China
| | - Shunxian Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
| | - Shuai Xu
- State Key Laboratory for 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
| | - Zhiguo Liu
- State Key Laboratory for 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
| | - Xuexin Hou
- State Key Laboratory for 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
| | - Huaiqi Jing
- State Key Laboratory for 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
| | - Yang Liu
- Department of Computer Science, Hong Kong Baptist University, Hong Kong, Special Administrative Region, People's Republic of China
| | - Xuezhang Zhou
- Key Laboratory of the Ministry of Education for the Conservation and Utilization of Special Biological Resources of Western China, Ningxia University, Yinchuan, People's Republic of China.
| | - Zhenjun Li
- State Key Laboratory for 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.
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11
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Qin S, Liang J, Tang D, Chen Y, Duan R, Lu X, Bukai A, Zheng X, Lv D, He Z, Wu W, Han H, Jing H, Wang X. Serological investigation of plague and brucellosis infection in Marmota himalayana plague foci in the Altun Mountains on the Qinghai-Tibet Plateau. Front Public Health 2022; 10:990218. [PMID: 36466443 PMCID: PMC9716105 DOI: 10.3389/fpubh.2022.990218] [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: 07/09/2022] [Accepted: 11/01/2022] [Indexed: 11/19/2022] Open
Abstract
The Altun Mountains are among the most active regions of Marmota himalayana plague foci of the Qinghai-Tibet Plateau where animal plague is prevalent, whereas only three human cases have been found since 1960. Animal husbandry is the main income for the local economy; brucellosis appears sometimes in animals and less often in humans. In this study, a retrospective investigation of plague and brucellosis seroprevalence among humans and animals was conducted to improve prevention and control measures for the two diseases. Animal and human sera were collected for routine surveillance from 2018 to 2021 and screened for plague and brucellosis. Yersinia pestis F1 antibody was preliminarily screened by the colloidal gold method at the monitoring site to identify previous infections with positive serology. Previous plague infection was found in 3.2% (14/432) of the studied human population having close contact with livestock, which indicates evidence of exposure to the Yersinia antigen (dead or live pathogenic materials) in the Altun Mountains. Seroprevalence of brucellosis was higher in camels (6.2%) and sheepdogs (1.8%) than in other livestock such as cattle and sheep, suggesting a possible transmission route from secondary host animals to humans.
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Affiliation(s)
- Shuai 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
| | - 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
| | - Deming Tang
- 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
| | - Yuhuang Chen
- Shenzhen Nanshan Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Ran Duan
- 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
| | - Xinmin Lu
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Asaiti Bukai
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Xiaojin Zheng
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Dongyue 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, China
| | - Zhaokai 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
| | - Weiwei Wu
- 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
| | - Haonan Han
- 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
| | - Huaiqi Jing
- 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
| | - Xin 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,*Correspondence: Xin Wang
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12
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Li YF, Wang WH, Fan W, Wang YY, Hu X, Zhang BF, You AG, Jing HQ, Wang HF, Ye Y, Huang XY. [Analysis of epidemiological characteristics of bacillary dysentery with multiple-onset in Henan Province from 2005 to 2020]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1472-1477. [PMID: 36274616 DOI: 10.3760/cma.j.cn112150-20211226-01185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To understand the epidemiological characteristics of bacillary dysentery with multiple-onset in Henan province from 2005 to 2020. Methods: The reported cases of bacillary dysentery (including confirmed cases and clinically diagnosed cases) in Henan Province from January 2005 to December 2020 were collected through China's National Disease Supervision Information Management System. The main information included gender, age, home address, date of onset and date of diagnosis. The interval between two episodes of the same case was more than 15 days, which was judged as two episodes. The incidence characteristics of bacillary dysentery patients with two or more cases in Henan Province from 2005 to 2020 were analyzed, and the regional distribution map of cases was drawn using ArcGIS software. Results: From 2005 to 2020, a total of 250 430 cases of bacillary dysentery were reported in Henan Province, with a cumulative incidence rate of 228.66/100 000. There were 2 342 cases with two or more attacks. The incidence of recurrent cases of bacillary dysentery increased year by year (χ2trend=2 932.28, P<0.001). There was no significant difference in the incidence of two or more cases of different sexes (χ2=0.39, P=0.540). There was significant difference in the incidence among different age groups (χ2=438.40, P<0.001). The incidence of two or more cases in the 60-69 age group was relatively high (1.70%). The shortest time interval between the onset of the disease was 16 days, and the longest was 5 579 days, with M (Q1, Q3) about 428 (237, 843) days. Compared with healthy people, those with a history of bacterial diseases had a higher risk of developing bacillary dysentery (RR: 4.12, 95%CI: 3.95‒4.29). Conclusion: The proportion of patients with multiple-onset shows an increasing trend, and there is an age difference.
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Affiliation(s)
- Y F Li
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - W H Wang
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - W Fan
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - Y Y Wang
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - X Hu
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - B F Zhang
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - A G You
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - H Q Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H F Wang
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - Y Ye
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
| | - X Y Huang
- Institute for Infectious Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Henan Key Laboratory of Pathogenic Organism, Zhengzhou 450016, China
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13
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Yue Y, Shen M, Liu X, Hao Q, Kang Y, Che Y, Li F, Chen S, Xu S, Jing H, Li ZJ, Zhou XZ. Whole-genome sequencing-based prediction and analysis of antimicrobial resistance in Yersinia enterocolitica from Ningxia, China. Front Microbiol 2022; 13:936425. [PMID: 35942314 PMCID: PMC9356307 DOI: 10.3389/fmicb.2022.936425] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/04/2022] [Indexed: 12/12/2022] Open
Abstract
Focusing on resistance trends and transmission patterns of pathogenic microorganisms is a major priority for national surveillance programs. The use of whole-genome sequencing for antimicrobial susceptibility testing (WGS-AST) is a powerful alternative to traditional microbiology laboratory methods. Yersinia enterocolitica antimicrobial resistance (AMR) in the Ningxia Hui Autonomous Region has yet to be described thoroughly in current studies. We assessed and monitored the development of Y. enterocolitica AMR in the Ningxia Hui Autonomous Region during 2007–2019 based on WGS-AST. Resistance genotypes were predicted based on WGS. Antimicrobial resistance testing using classical microbiology determined resistance to 13 antimicrobial agents in 189 Y. enterocolitica isolates from Ningxia. The highest resistance level was 97.88% for cefazolin, followed by ampicillin (AMP) (44.97%), ciprofloxacin (CIP) (25.40%), streptomycin (STR) (11.11%), and tetracycline (TET) (10.58%). Isolates emerged as chloramphenicol (CHL) and trimethoprim/sulfamethoxazole (SXT) resistant. The primary plasmid types were IncFII(Y) and ColRNAI. The TET, STR, and SXT resistance were mediated by the tetA, aph(6)-Id, aph(3″)-Ib, and sul2 genes located on the IncQ1 plasmid. The resistant strains were predominantly biotype 4/O:3/ST429 and the hosts were pigs and patients. The number of multidrug-resistant (MDR) strains was of concern, at 27.51%. At present, the prediction of antimicrobial resistance based on WGS requires a combination of phenotypes. From 2007 to 2019, Y. enterocolitica isolates from the Ningxia Hui Autonomous Region showed a relatively high rate of resistance to cefazolin (CZO) and some resistance to AMP, CIP, STR, and TET. CIP, SXT, and TET showed a relatively clear trend of increasing resistance. Plasmids carrying multiple drug resistance genes are an important mechanism for the spread of antimicrobial resistance. Isolates with low pathogenicity were more likely to present an AMR phenotype than non-pathogenic isolates.
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Affiliation(s)
- Yuan Yue
- Key Laboratory of the Ministry of Education for the Conservation and Utilization of Special Biological Resources of Western China, Ningxia University, Yinchuan, China
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Ningxia Hui Autonomous Region Food Testing and Research Institute, Yinchuan, China
| | - Mei Shen
- Ningxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, China
| | - Xiang Liu
- Ningxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, China
| | - Qiong Hao
- Ningxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, China
| | - Yutong Kang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanlin Che
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fang Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shenglin Chen
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuai Xu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen-jun Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- *Correspondence: Zhen-jun Li,
| | - Xue-zhang Zhou
- Key Laboratory of the Ministry of Education for the Conservation and Utilization of Special Biological Resources of Western China, Ningxia University, Yinchuan, China
- Xue-zhang Zhou,
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14
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Xu J, Liu H, Jiang Y, Jing H, Cao J, Yin J, Li T, Sun Y, Shen Y, Wang X. Genotyping and subtyping of Cryptosporidium spp. and Giardia duodenalis isolates from two wild rodent species in Gansu Province, China. Sci Rep 2022; 12:12178. [PMID: 35842437 PMCID: PMC9288474 DOI: 10.1038/s41598-022-16196-1] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 07/06/2022] [Indexed: 11/11/2022] Open
Abstract
Cryptosporidium spp. and Giardia duodenalis are commonly detected intestinal protozoa species in humans and animals, contributing to global gastroenteritis spread. The present study examined the prevalence and zoonotic potential of Cryptosporidium spp. and G. duodenalis in Himalayan marmots and Alashan ground squirrels in China's Qinghai-Tibetan Plateau area (QTPA) for the first time. Four hundred ninety-eight intestinal content samples were collected from five counties of QTPA of Gansu province, China.
All samples were examined for Cryptosporidium spp. and G. duodenalis by PCR amplification. The resultant data were statistically analyzed by chi-square, Fisher's test and Bonferroni correction using SPSS software 25. 0. Cryptosporidium positive samples were further subtyped through analysis of the 60-kDa glycoprotein (gp60) gene sequence. A total of 11 and 8 samples were positive for Cryptosporidium spp. and G. duodenalis, respectively. Prevalence of Cryptosporidium spp. and G. duodenalis were 2.5% (10/399) and 1.5% (6/399) in Himalayan marmots, 1.0% (1/99) and 2.0% (2/99) in Alashan ground squirrels, respectively. Sequence analysis confirmed the presence of C. rubeyi (n = 2), ground squirrel genotype II (n = 7), chipmunk genotype V (n = 1) and horse genotype (n = 1). The horse genotype was further subtyped as novel subtype VIbA10. G. duodenalis zoonotic assemblages A (n = 1), B (n = 6), E (n = 1) were identified in the present study. This is the first study to identify Cryptosporidium spp. and G. duodenalis in Himalayan marmots and Alashan ground squirrels, suggesting the potential zoonotic transmission of the two pathogens in QTPA.
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Affiliation(s)
- Jie Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Shanghai, 200025, China
| | - Hua Liu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Shanghai, 200025, China
| | - Yanyan Jiang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Shanghai, 200025, China
| | - Huaiqi Jing
- National Institute of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Jianping Cao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Shanghai, 200025, China.,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jianhai Yin
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Shanghai, 200025, China
| | - Teng Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Shanghai, 200025, China
| | - Yeting Sun
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Shanghai, 200025, China
| | - Yujuan Shen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China. .,NHC Key Laboratory of Parasite and Vector Biology, Shanghai, 200025, China. .,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China. .,National Center for International Research on Tropical Diseases, Shanghai, 200025, China. .,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Xin Wang
- National Institute of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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15
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Tang D, Duan R, Chen Y, Liang J, Zheng X, Qin S, Bukai A, Lu X, Xi J, Lv D, He Z, Wu W, Xiao M, Jing H, Wang X. Plague Outbreak of a Marmota himalayana Family Emerging from Hibernation. Vector Borne Zoonotic Dis 2022; 22:410-418. [PMID: 35787155 PMCID: PMC9419979 DOI: 10.1089/vbz.2022.0010] [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: 11/16/2022] Open
Abstract
In April 2021, a plague outbreak was identified within one Marmota himalayana family shortly after emerging from hibernation, during plague surveillance in the M. himalayana plague foci of the Qinghai-Tibet Plateau. A total of five marmots were found dead of Yersinia pestis near the same burrow; one live marmot was positive of Y. pestis fraction 1 (F1) antibody. Comparative genome analysis shows that few single nucleotide polymorphisms were detected among the nine strains, indicating the same origin of the outbreak. The survived marmot shows a high titer of F1 antibody, higher than the mean titer of all marmots during the 2021 monitoring period (W = 391.00, Z = 2.81, p < 0.01). Marmots live with Y. pestis during hibernation when the pathogen is inhibited by hypothermia. But they wake up during or just after hibernation with body temperature rising to 37°C, when Y. pestis goes through optimal growth temperature, increases virulence, and causes death in marmots. A previous report has shown human plague cases caused by excavating marmots during winter; combined, this study shows the high risk of hibernation marmot carrying Y. pestis. This analysis provides new insights into the transmission of the highly virulent Y. pestis in M. himalayana plague foci and drives further effort upon plague control during hibernation.
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Affiliation(s)
- Deming Tang
- 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
| | - Ran Duan
- 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
| | - Yuhuang Chen
- Child Healthcare Department, Shenzhen Nanshan Maternity and Child Health Care Hospital, Shenzhen, China
| | - 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
| | - Xiaojin Zheng
- Plague Prevention and Control Department, Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Shuai 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
| | - Asaiti Bukai
- Plague Prevention and Control Department, Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Xinmin Lu
- Plague Prevention and Control Department, Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Jinxiao Xi
- Institute for Plague and Brucellosis Prevention and Control, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Dongyue 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, China
| | - Zhaokai 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
| | - Weiwei Wu
- 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
| | - Meng Xiao
- 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
| | - Huaiqi Jing
- 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
| | - Xin 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
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16
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Xi J, Duan R, He Z, Meng L, Xu D, Chen Y, Liang J, Fu G, Wang L, Chun H, Qin S, Lv D, Mu H, Tang D, Wu W, Xiao M, Jing H, Wang X. First Case Report of Human Plague Caused by Excavation, Skinning, and Eating of a Hibernating Marmot (Marmota himalayana). Front Public Health 2022; 10:910872. [PMID: 35692330 PMCID: PMC9178066 DOI: 10.3389/fpubh.2022.910872] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
IntroductionThe Qinghai-Tibet Plateau is considered the most plague-heavy region in China, and skinning and eating marmots (Marmota himalayana) are understood to be the main exposure factors to plague. Yersinia pestis is relatively inactive during marmots' hibernation period. However, this case report shows plague infection risk is not reduced but rather increased during the marmot hibernation period if plague exposure is not brought under control.Case PresentationThe patient was a 45-year-old man who presented with high fever, swelling of axillary lymph nodes, and existing hand wounds on his right side. Y. pestis was isolated from his blood and lymphatic fluid. Hence, the patient was diagnosed with a confirmed case of bubonic plague. Later, his condition progressed to septicemic plague. Plague exposure through wounds and delays in appropriate treatment might have contributed to plague progression.ConclusionThis case report reveals that excavating a hibernating marmot is a significant transmission route of plague. Plague prevention and control measures are priority needs during the marmot hibernation period.
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Affiliation(s)
- Jinxiao Xi
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Ran Duan
- 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
| | - Zhaokai 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
| | - Lei Meng
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Daqin Xu
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Yuhuang Chen
- Shenzhen Nanshan Maternity and Child Health Care Hospital, Shenzhen, China
| | - 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
| | - Guoming Fu
- Subei Mongolian Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Li Wang
- Jiuquan Municipal Center for Disease Control and Prevention, Jiuquan, China
| | - Hua Chun
- Subei Mongolian Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Shuai 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
| | - Dongyue 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, China
| | - Hui Mu
- 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
| | - Deming Tang
- 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
| | - Weiwei Wu
- 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
| | - Meng Xiao
- 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
| | - Huaiqi Jing
- 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
| | - Xin 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
- *Correspondence: Xin Wang
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Liu BX, Duan R, Wang HH, Zhang DY, Qin S, Luo HY, Liu J, Liang JR, Tang DM, Jing HQ, Wang J, Wang X. [Analysis on prevalence and epidemic risk of animal plague in different ecological plague foci in Inner Mongolia Autonomous Region]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:9-14. [PMID: 34954955 DOI: 10.3760/cma.j.cn112150-20211101-01007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The risk of plague epidemics and relapse of various types of plague foci persists in Inner Mongolia Autonomous Region. For Marmota sibirica plague foci, the animal plague has not been found but antibody has been detected positive. Nowadays, Marmota sibirica has been increasing in population and distribution in China. In bordering countries Mongolia and Russia, the animal plague has been continuously prevalent. For Spermophilus dauricus plague foci, the animal plague has been taken place now and then. Compared to the above foci, the animal plague is most prevalent in Meriones unguiculatus plague foci and frequently spread to humans. Due to higher strain virulence and historical disaster in Marmota sibirica plague foci and Spermophilus dauricus plague foci, plague prevention and control should be strengthened on these foci. In addition to routine surveillance, epidemic dynamics need to be further monitored in these two foci, in order to prevent their relapse and spread to humans.
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Affiliation(s)
- B X Liu
- Inner Mongolia Autonomous Region Center for Synthesis Disease Control and Prevention, Hohhot 010031, China
| | - R Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H H Wang
- Inner Mongolia Autonomous Region Center for Synthesis Disease Control and Prevention, Hohhot 010031, China
| | - D Y Zhang
- Inner Mongolia Autonomous Region Center for Synthesis Disease Control and Prevention, Hohhot 010031, China
| | - S Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Y Luo
- Hulun Buir Municipal Center for Disease Control and Prevention, Hulun Buir 021008, China
| | - J Liu
- Inner Mongolia Autonomous Region Center for Synthesis Disease Control and Prevention, Hohhot 010031, China
| | - J R Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - D M Tang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Q Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Wang
- Chinese Medical Association, Beijing 100710, China
| | - X Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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18
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Chang Q, Wang K, Zhang H, Li C, Wang Y, Jing H, Li S, Guo Y, Cui Z, Zhang W. Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China. Environ Health Prev Med 2022; 27:13. [PMID: 35314583 PMCID: PMC9251629 DOI: 10.1265/ehpm.21-00005] [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] [Indexed: 12/02/2022] Open
Abstract
Background Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution. Methods Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects. The interaction effects and stratified analysis were developed by the GAM. Results A total of 147,001 cases were reported from 2014 to 2019. The relationship between temperature and BD was approximately liner above 0 °C, but the turning point of total temperature effect was 10 °C. Results of DLNM indicated that the effect of high temperature was significant on lag 5d and lag 6d, and the lag effect showed that each 5 °C rise caused a 3% [Relative risk (RR) = 1.03, 95% Confidence interval (CI): 1.02–1.05] increase in BD cases. The cumulative BD cases delayed by 7 days increased by 31% for each 5 °C rise in temperature above 10 °C (RR = 1.31, 95% CI: 1.30–1.33). The interaction effects and stratified analysis manifested that the incidence of BD was highest in hot and humid climates. Conclusions This study suggests that temperature can significantly affect the incidence of BD, and its effect can be enhanced by humidity and precipitation, which means that the hot and humid environment positively increases the incidence of BD. Supplementary information The online version contains supplementary material available at https://doi.org/10.1265/ehpm.21-00005.
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Affiliation(s)
- Qinxue Chang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University
| | - Keyun Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University
| | - Honglu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University
| | - Changping Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University
| | - Yong Wang
- Chinese PLA Center for Disease Control and Prevention
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University
| | - Zhuang Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University
| | - Wenyi Zhang
- Chinese PLA Center for Disease Control and Prevention
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19
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Wang X, Rainey JJ, Goryoka GW, Liang Z, Wu S, Wen L, Duan R, Qin S, Huang H, Kharod G, Rao CY, Salyer SJ, Behravesh CB, Jing H. Using a One Health approach to prioritize zoonotic diseases in China, 2019. PLoS One 2021; 16:e0259706. [PMID: 34797849 PMCID: PMC8604330 DOI: 10.1371/journal.pone.0259706] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 10/26/2021] [Indexed: 12/24/2022] Open
Abstract
Background China is vulnerable to zoonotic disease transmission due to a large agricultural work force, sizable domestic livestock population, and a highly biodiverse ecology. To better address this threat, representatives from the human, animal, and environmental health sectors in China held a One Health Zoonotic Disease Prioritization (OHZDP) workshop in May 2019 to develop a list of priority zoonotic diseases for multisectoral, One Health collaboration. Methods Representatives used the OHZDP Process, developed by the US Centers for Disease Control and Prevention (US CDC), to prioritize zoonotic diseases for China. Representatives defined the criteria used for prioritization and determined questions and weights for each individual criterion. A review of English and Chinese literature was conducted prior to the workshop to collect disease specific information on prevalence, morbidity, mortality, and Disability-Adjusted Life Years (DALYs) from China and the Western Pacific Region for zoonotic diseases considered for prioritization. Results Thirty zoonotic diseases were evaluated for prioritization. Criteria selected included: 1) disease hazard/severity (case fatality rate) in humans, 2) epidemic scale and intensity (in humans and animals) in China, 3) economic impact, 4) prevention and control, and 5) social impact. Disease specific information was obtained from 792 articles (637 in English and 155 in Chinese) and subject matter experts for the prioritization process. Following discussion of the OHZDP Tool output among disease experts, five priority zoonotic diseases were identified for China: avian influenza, echinococcosis, rabies, plague, and brucellosis. Conclusion Representatives agreed on a list of five priority zoonotic diseases that can serve as a foundation to strengthen One Health collaboration for disease prevention and control in China; this list was developed prior to the emergence of SARS-CoV-2 and the COVID-19 pandemic. Next steps focused on establishing a multisectoral, One Health coordination mechanism, improving multisectoral linkages in laboratory testing and surveillance platforms, creating multisectoral preparedness and response plans, and increasing workforce capacity.
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Affiliation(s)
- Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jeanette J. Rainey
- Division of Global Health Protection, United States Centers for Disease Control and Prevention, Beijing, China
| | - Grace W. Goryoka
- National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Zuoru Liang
- Center for Global Public Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuyu Wu
- Division of Global Health Protection, United States Centers for Disease Control and Prevention, Beijing, China
| | - Liming Wen
- Yinchuan Animal Center for Disease Control and Prevention, Yinchuan, Ningxia, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuai Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haodi Huang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Grishma Kharod
- National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Carol Y. Rao
- Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Stephanie J. Salyer
- Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Casey Barton Behravesh
- National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail:
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20
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Wang X, Lin D, Huang Z, Zhang J, Xie W, Liu P, Jing H, Wang J. Clonality, virulence genes, and antibiotic resistance of Staphylococcus aureus isolated from blood in Shandong, China. BMC Microbiol 2021; 21:281. [PMID: 34657588 PMCID: PMC8522240 DOI: 10.1186/s12866-021-02344-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/01/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Bloodstream infection (BSI) caused by Staphylococcus aureus (S. aureus) can be life-threatening and pose a great challenge to infection control and clinical treatment. However, little information exists regarding the characterization of S. aureus in BSI patients in Shandong, China. To identify the clonality, virulence genes, and antibiotic resistance of S. aureus in blood, a total of 101 nonrepetitive blood isolates were collected. The antibiotic resistance phenotypes were determined, and virulence genes were analyzed with polymerase chain reaction (PCR). Finally, the genetic relatedness was investigated with Staphylococcus chromosomal cassette mec (SCCmec) typing for methicillin-resistant S. aureus (MRSA) isolates, Staphylococcal protein A (spa), and multilocus sequence typing (MLST) for all of 101 isolates. RESULTS Of the 101 S. aureus isolates, 24 MRSA isolates and 77 methicillin-susceptible S. aureus (MSSA) isolates were identified. Overall, MRSA isolates had higher resistance rates than MSSA isolates when exposed to any of the 15 antibiotics tested in this study except for trimethoprim/sulfamethoxazole. Among the 17 virulence genes tested in this study, hla, hld, and hlg could be detected in all isolates. MRSA isolates were more likely to carry seb and hlb genes, while MSSA isolates were more likely to carry seg and sei genes. Thirty-five sequence types (STs) and 49 spa types were identified, of which ST59-t437 and ST398-t571 were the most abundant. These two genotypes were also the most abundant ST-spa types in MRSA and MSSA isolates, but their abundances shifted over time, with ST398-t571 being the predominant genotype from 2016 to 2017, and ST59-t437 from 2018 to 2020. Besides, all the ST59-t437 isolates harbored hlgb gene, whereas most (88.9%) ST398-t571 did not. In addition, twenty-four MRSA isolates were subject to SCCmec typing. SCCmec IVa was the most prevalent SCCmec type, and all the ST59-t437 MRSA isolates were SCCmec IVa. We also observed 15 new STs, and some of them were MRSA. CONCLUSION These findings provide additional observations and epidemiological data for blood S. aureus isolates, which can improve future infection-control measures and aid in potential clinical treatments in hospitals and other clinical settings.
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Affiliation(s)
- Xuezhi Wang
- Department of Laboratory Medicine, Foshan Fourth People's Hospital, Foshan, 528000, Guangdong, China
| | - Dongzi Lin
- Department of Laboratory Medicine, Foshan Fourth People's Hospital, Foshan, 528000, Guangdong, China
| | - Zengqi Huang
- Department of Laboratory Medicine, Foshan Fourth People's Hospital, Foshan, 528000, Guangdong, China
| | - Jinmei Zhang
- Department of Laboratory Medicine, Foshan Fourth People's Hospital, Foshan, 528000, Guangdong, China
| | - Wenyan Xie
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, 250014, Shandong, China
| | - Pen Liu
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, 250014, Shandong, China
| | - Huaiqi Jing
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, 102206, People's Republic of China
| | - Jiazheng Wang
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, 250014, Shandong, China.
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21
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He Z, Wei B, Zhang Y, Liu J, Xi J, Ciren D, Qi T, Liang J, Duan R, Qin S, Lv D, Chen Y, Xiao M, Fan R, Song Z, Jing H, Wang X. Distribution and Characteristics of Human Plague Cases and Yersinia pestis Isolates from 4 Marmota Plague Foci, China, 1950-2019. Emerg Infect Dis 2021; 27:2544-2553. [PMID: 34545784 PMCID: PMC8462326 DOI: 10.3201/eid2710.202239] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
We analyzed epidemiologic characteristics and distribution of 1,067 human plague cases and 5,958 Yersinia pestis isolates collected from humans, host animals, and insect vectors during 1950–2019 in 4 Marmota plague foci in China. The case-fatality rate for plague in humans was 68.88%; the overall trend slowly decreased over time but fluctuated greatly. Most human cases (98.31%) and isolates (82.06%) identified from any source were from the Marmota himalayana plague focus. The tendency among human cases could be divided into 3 stages: 1950–1969, 1970–2003, and 2004–2019. The Marmota sibirica plague focus has not had identified human cases nor isolates since 1926. However, in the other 3 foci, Y. pestis continues to circulate among animal hosts; ecologic factors might affect local Y. pestis activity. Marmota plague foci are active in China, and the epidemic boundary is constantly expanding, posing a potential threat to domestic and global public health.
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22
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Liang J, Qin S, Duan R, Zhang H, Wu W, Li X, Tang D, Fu G, Lu X, Lv D, He Z, Mu H, Xiao M, Yang J, Jing H, Wang X. A Lytic Yersina pestis Bacteriophage Obtained From the Bone Marrow of Marmota himalayana in a Plague-Focus Area in China. Front Cell Infect Microbiol 2021; 11:700322. [PMID: 34307197 PMCID: PMC8297710 DOI: 10.3389/fcimb.2021.700322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/22/2021] [Indexed: 01/09/2023] Open
Abstract
A lytic Yersinia pestis phage vB_YpP-YepMm (also named YepMm for briefly) was first isolated from the bone marrow of a Marmota himalayana who died of natural causes on the Qinghai-Tibet plateau in China. Based on its morphologic (isometric hexagonal head and short non-contractile conical tail) and genomic features, we classified it as belonging to the Podoviridae family. At the MOI of 10, YepMm reached maximum titers; and the one-step growth curve showed that the incubation period of the phage was about 10 min, the rise phase was about 80 min, and the lysis amount of the phage during the lysis period of 80 min was about 187 PFU/cell. The genome of the bacteriophage YepMm had nucleotide-sequence similarity of 99.99% to that of the Y. pestis bacteriophage Yep-phi characterized previously. Analyses of the biological characters showed that YepMm has a short latent period, strong lysis, and a broader lysis spectrum. It could infect Y. pestis, highly pathogenic bioserotype 1B/O:8 Y. enterocolitica, as well as serotype O:1b Y. pseudotuberculosis—the ancestor of Y. pestis. It could be further developed as an important biocontrol agent in pathogenic Yersinia spp. infection.
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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
| | - Shuai 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
| | - Ran Duan
- 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
| | - Haoran 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
| | - Weiwei Wu
- 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.,Sanitary Inspection Center, Xuzhou Municipal Centre for Disease Control and Prevention, Xuzhou, China
| | - Xu Li
- School of Light Industry, Beijing Technology and Business University, Beijing, China
| | - Deming Tang
- 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
| | - Guoming Fu
- Sanitary Inspection Center, Subei Mongolian Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Xinmin Lu
- Sanitary Inspection Center, Akesai Kazakh Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Dongyue 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, China
| | - Zhaokai 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
| | - Hui Mu
- 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
| | - Meng Xiao
- 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
| | - Jinchuan 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
| | - Huaiqi Jing
- 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
| | - Xin 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
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23
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Lv D, Duan R, Fan R, Mu H, Liang J, Xiao M, He Z, Qin S, Yang J, Jing H, Wang Z, Wang X. blaNDM and mcr-1 to mcr-5 Gene Distribution Characteristics in Gut Specimens from Different Regions of China. Antibiotics (Basel) 2021; 10:antibiotics10030233. [PMID: 33669137 PMCID: PMC7996585 DOI: 10.3390/antibiotics10030233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 02/19/2021] [Accepted: 02/23/2021] [Indexed: 11/16/2022] Open
Abstract
Antibiotic resistance has become a global public health concern. To determine the distribution characteristics of mcr and blaNDM in China, gene screening was conducted directly from gut specimens sourced from livestock and poultry, poultry environments, human diarrhea patients, and wild animals from 10 regions, between 2010–2020. The positive rate was 5.09% (356/6991) for mcr and 0.41% (29/6991) for blaNDM, as detected in gut specimens from seven regions, throughout 2010 to 2019, but not detected in 2020. The detection rate of mcr showed significant differences among various sources: livestock and poultry (14.81%) > diarrhea patients (1.43%) > wild animals (0.36%). The detection rate of blaNDM was also higher in livestock and poultry (0.88%) than in diarrhea patients (0.17%), and this was undetected in wildlife. This is consistent with the relatively high detection rate of multiple mcr genotypes in livestock and poultry. All instances of coexistence of the mcr-1 and blaNDM genes, as well as coexistence of mcr genotypes within single specimens, and most new mcr subtypes came from livestock, and poultry environments. Our study indicates that the emergence of mcr and blaNDM genes in China is closely related to the selective pressure of carbapenem and polymyxin. The gene-based strategy is proposed to identify more resistance genes of concern, possibly providing guidance for the prevention and control of antimicrobial resistance dissemination.
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Affiliation(s)
- Dongyue Lv
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao 266021, 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, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Ran Duan
- 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; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Rong 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, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Hui Mu
- 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; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - 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 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Meng Xiao
- 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; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Zhaokai 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 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Shuai 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 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Jinchuan 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; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Huaiqi Jing
- 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; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Zhaoguo Wang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao 266021, China;
- Correspondence: (Z.W.); (X.W.)
| | - Xin 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 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
- Correspondence: (Z.W.); (X.W.)
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24
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Liu B, Zhang D, Chen Y, He Z, Liu J, Lyu D, Wu W, Duan R, Qin S, Liang J, Jing H, Wang X. Epidemiological Characteristics of Plague in the Meriones unguiculatus Plague Focus - Inner Mongolia Autonomous Region, China, 1950-2019. China CDC Wkly 2020; 2:935-945. [PMID: 34594805 PMCID: PMC8393159 DOI: 10.46234/ccdcw2020.256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 11/30/2020] [Indexed: 11/16/2022] Open
Affiliation(s)
- Boxi Liu
- The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Huhhot, Inner Mongolia, China
| | - Dayu Zhang
- The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Huhhot, Inner Mongolia, China
| | - Yuhuang Chen
- Shenzhen Nanshan Maternity and Child Healthcare Hospital, Shenzhen, Guangdong, China
| | - Zhaokai 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
| | - Jun Liu
- The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Huhhot, Inner Mongolia, China
| | - Dongyue Lyu
- 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
| | - Weiwei Wu
- 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
| | - Ran Duan
- 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
| | - Shuai 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
| | - 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
| | - Huaiqi Jing
- 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
| | - Xin 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
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25
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He ZK, Wang J, Sun H, Su J, Liu X, Gu WP, Yu DS, Luo LZ, Wang ML, Hu B, Hu WF, Tong J, Yang M, Wang SL, Wang CX, Wang YL, Zhan ZF, Duan R, Qin S, Jing HQ, Wang X. [Characteristics and diversity of infectious diarrheal caused by various pathogens]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1328-1334. [PMID: 32867445 DOI: 10.3760/cma.j.cn112338-20200213-00093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the characteristics and differences of diarrhea-related symptoms caused by different pathogens, and the clinical features of various pathogens causing diarrhea. Methods: Etiology surveillance program was conducted among 20 provinces of China from 2010 to 2016. The acute diarrhea outpatients were collected from clinics or hospitals. A questionnaire was used to survey demographics and clinical features. VFeces samples were taken for laboratory detection of 22 common diarrhea pathogens, to detect and analyze the clinical symptom pattern characteristics of the patient's. Results: A total of 38 950 outpatients were enrolled from 20 provinces of China. The positive rates of Rotavirus and Norovirus were the highest among the five diarrhea-causing viruses (Rotavirus: 18.29%, Norovirus: 13.06%). In the isolation and culture of 17 diarrhea-causing bacterial, Escherichia coli showed the highest positive rates (6.25%). The clinical features of bacterial diarrhea and viral diarrhea were mainly reflected in the results of fecal traits and routine examination, but pathogenic Vibrio infection was similar to viral diarrhea. Conclusion: Infectious diarrhea presents different characteristics due to various symptoms which can provide a basis for clinical diagnosis.
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Affiliation(s)
- Z K He
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Wang
- Dongcheng District Center for Disease Control and Prevention, Beijing 100009, China
| | - H Sun
- Dongcheng District Center for Disease Control and Prevention, Beijing 100009, China
| | - J Su
- Henan Center for Disease Control and Prevention, Zhengzhou 450016, China
| | - X Liu
- Ningxia Center for Disease Control and Prevention, Yinchuan 750004, China
| | - W P Gu
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - D S Yu
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - L Z Luo
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - M L Wang
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China
| | - B Hu
- Shandong Center for Disease Control & Prevention, Jinan 250014, China
| | - W F Hu
- Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, China
| | - J Tong
- Xuzhou Municipal Center for Disease Control and Prevention, Xuzhou 221006, China
| | - M Yang
- Jiangxi Province Center for Disease Control and Prevention, Nanchang 330029, China
| | - S L Wang
- Hainan Center for Disease Control and Prevention, Haikou 570203, China
| | - C X Wang
- Qing Hai Center for Diseases Prevention & Control, Xining 810000, China
| | - Y L Wang
- Tianjin Jizhou District Center for Disease Control and Prevention, Tianjin 301999, China
| | - Z F Zhan
- Hunan Provincial Center for Disease Control and Prevention, Changsha 410000, China
| | - R Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Q Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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26
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Xu J, Wang X, Jing H, Cao S, Zhang X, Jiang Y, Yin J, Cao J, Shen Y. Identification and genotyping of Enterocytozoon bieneusi in wild Himalayan marmots (Marmota himalayana) and Alashan ground squirrels (Spermophilus alashanicus) in the Qinghai-Tibetan Plateau area (QTPA) of Gansu Province, China. Parasit Vectors 2020; 13:367. [PMID: 32698833 PMCID: PMC7376879 DOI: 10.1186/s13071-020-04233-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 07/15/2020] [Indexed: 11/24/2022] Open
Abstract
Background Enterocytozoon bieneusi is the most frequently detected microsporidian species in humans and animals. Currently, to the best of our knowledge, no information on E. bieneusi infection in Himalayan marmots (Marmota himalayana) and Alashan ground squirrels (Spermophilus alashanicus) is available worldwide. The aim of the present study was to understand the occurrence and genetic characterizations of E. bieneusi in Himalayan marmots and Alashan ground squirrels in the Qinghai-Tibetan Plateau area (QTPA), Gansu Province, China. Methods A total of 498 intestinal contents were collected from 399 Himalayan marmots and 99 Alashan ground squirrels in QTPA. These samples were screened for the presence of E. bieneusi by using nested polymerase chain reaction and sequencing of the internal transcribed spacer (ITS) region of the ribosomal RNA (rRNA) gene. The ITS-positive sequences were aligned and phylogenetically analyzed to determine the genotypes of E. bieneusi. Results The average infection rate of E. bieneusi was 10.0% (50/498), with 11.8% (47/399) in Himalayan marmots and 3.0% (3/99) in Alashan ground squirrels. A total of 7 distinct E. bieneusi genotypes were confirmed: 1 known genotype, YAK1 (n = 18) and 6 novel genotypes, named as ZY37 (n = 27), HN39 (n = 1), HN96 (n = 1), SN45 (n = 1), XH47 (n = 1) and ZY83 (n = 1). All the genotypes obtained in the present study were classified into group 1. Conclusions To our knowledge, this is the first report of E. bieneusi in Himalayan marmots and Alashan ground squirrels in China. The identification of genotype YAK1 in the two rodent species expanded the host range of this genotype. All the seven genotypes were clustered into zoonotic group 1, suggesting that these animal species can be potential epidemiological vectors of zoonotic microsporidiosis caused by E. bieneusi and pose a threat to ecological security. It is necessary to strengthen management practices and surveillance in the investigated areas to reduce the risk of E. bieneusi infection from the two rodent species to humans.![]()
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Affiliation(s)
- Jie Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.,Chinese Center for Tropical Diseases Research, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.,Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Xin Wang
- National Institute of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Huaiqi Jing
- National Institute of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Shengkui Cao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.,Chinese Center for Tropical Diseases Research, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.,Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Xiaofan Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.,Chinese Center for Tropical Diseases Research, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.,Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Yanyan Jiang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.,Chinese Center for Tropical Diseases Research, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.,Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Jianhai Yin
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.,Chinese Center for Tropical Diseases Research, Shanghai, 200025, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.,Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China
| | - Jianping Cao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China. .,Chinese Center for Tropical Diseases Research, Shanghai, 200025, China. .,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China. .,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. .,Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
| | - Yujuan Shen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China. .,Chinese Center for Tropical Diseases Research, Shanghai, 200025, China. .,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China. .,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. .,Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, China.
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27
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Fan R, Li C, Duan R, Qin S, Liang J, Xiao M, Lv D, Jing H, Wang X. Retrospective Screening and Analysis of mcr-1 and bla NDM in Gram-Negative Bacteria in China, 2010-2019. Front Microbiol 2020; 11:121. [PMID: 32117144 PMCID: PMC7026248 DOI: 10.3389/fmicb.2020.00121] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 01/20/2020] [Indexed: 01/17/2023] Open
Abstract
Currently, Gram-negative bacteria have developed multidrug and broad-spectrum drug resistance, and the numbers of species and strains carrying mcr or blaNDM genes are increasing. In this study, mcr-1 and blaNDM distribution of 12,858 Gram-negative bacteria isolated from wildlife, patients, livestock, poultry and environment in 14 provinces of China from 2010 to 2019 and the antibiotics resistance in regard to polymyxins (polymyxin B and colistin) and carbapenems of positive strains were investigated. A total of 70 strains of 10 species carried the mcr-1 gene, positive rates of patients, livestock and poultry, and environmental strains were 0.62% (36/5,828), 4.07% (29/712), 5.43% (5/92), respectively. Six strains of 3 species carrying the blaNDM gene all came from patients 0.10% (6/5,828). Two new mcr-1 gene variants (GenBank: MK965883, MK965884) were identified, one of which contains premature stop codon. The drug susceptibility results showed that all mcr-1 carriers were sensitive to carbapenems, among which, 66 strains were resistant and 4 were sensitive to polymyxins. The strains with the blaNDM gene had different degrees of resistance to carbapenems and were sensitive to polymyxins. The findings that species carrying mcr-1 or blaNDM genes were limited and mostly normal flora of opportunistic or low pathogenic organisms indicated that transfer of mcr-1 and blaNDM genes between bacteria was relatively limited in China. The none detection among wildlife compared with other sources supports the speculation that the emergence of and increase in polymyxins and carbapenem-resistant strains was mainly related to the selective pressure of antibiotics.
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Affiliation(s)
- Rong Fan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chuchu Li
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Ran Duan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuai Qin
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junrong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Xiao
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongyue Lv
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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28
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Wang X, Chen ZH, Ran L, Duan R, Qin S, Wang H, Zeng M, Zhu FC, Bao CC, Wang L, Liang WL, Li FQ, Qing ZT, Chun H, Jing HQ. [Interpretation for diagnosis of Yersiniosis]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:1048-1051. [PMID: 31594143 DOI: 10.3760/cma.j.issn.0254-6450.2019.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Yersiniosis is one of the "other infectious diarrhea" of the notifiable infectious diseases and also an important food-borne disease. However, it lacked the basis or standard for diagnosis. The Chinese Preventive Medicine Association coordinated experienced researchers from National Institute for Communicable Disease Control and Prevention, China CDC and other institutes to produce the group standard entitled "Diagnosis of Yersiniosis" (T/CPMA 005-2019). Based on the principle of "legality, scientificity, advancement, and feasibility" , the standard gives a clear definition for Yerisiniosis, stipulates diagnosis basis, principles and main differential diagnosis and provides two informative appendixes for epidemiological and clinical characteristics and a normative appendix for laboratory detection. The standard provides accurate basis and methods of Yersiniosis diagnosis for hospitals and CDCs at all levels in China. It will solve the problems that Yersiniosis cannot be clearly diagnosed for clinical cases and in the outbreaks.
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Affiliation(s)
- X Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z H Chen
- Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - L Ran
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - R Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Wang
- Peking University People's Hospital, Beijing 100044, China
| | - M Zeng
- National Institute for Food and Drug Control, Beijing 102629, China
| | - F C Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - C C Bao
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - L Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - W L Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F Q Li
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z T Qing
- Zhengzhou Engineering Research Center for Foodborne Pathogens Rapid Detection Reagents, Zhengzhou 450000, China
| | - H Chun
- Subei Mongolian Autonomous County Center for Disease Control and Prevention, Jiuquan 736300, China
| | - H Q Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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29
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Liang J, Kou Z, Qin S, Chen Y, Li Z, Li C, Duan R, Hao H, Zha T, Gu W, Huang Y, Xiao M, Jing H, Wang X. Novel Yersinia enterocolitica Prophages and a Comparative Analysis of Genomic Diversity. Front Microbiol 2019; 10:1184. [PMID: 31191498 PMCID: PMC6548840 DOI: 10.3389/fmicb.2019.01184] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/09/2019] [Indexed: 12/18/2022] Open
Abstract
Yersinia enterocolitica is a major agent of foodborne diseases worldwide. Prophage plays an important role in the genetic evolution of the bacterial genome. Little is known about the genetic information about prophages in the genome of Y. enterocolitica, and no pathogenic Y. enterocolitica prophages have been described. In this study, we induced and described the genomes of six prophages from pathogenic Y. enterocolitica for the first time. Phylogenetic analysis based on whole genome sequencing revealed that these novel Yersinia phages are genetically distinct from the previously reported phages, showing considerable genetic diversity. Interestingly, the prophages induced from O:3 and O:9 Y. enterocolitica showed different genomic sequences and morphology but highly conserved among the same serotype strains, which classified into two diverse clusters. The three long-tailed Myoviridae prophages induced from serotype O:3 Y. enterocolitica were highly conserved, shared ≥99.99% identity and forming genotypic cluster A; the three Podoviridae prophages induced from the serotype O:9 strains formed cluster B, also shared more than 99.90% identity with one another. Cluster A was most closely related to O:5 non-pathogenic Y. enterocolitica prophage PY54 (61.72% identity). The genetic polymorphism of these two kinds of prophages and highly conserved among the same serotype strains, suggested a possible shared evolutionary past for these phages: originated from distinct ancestors, and entered pathogenic Y. enterocolitica as extrachromosomal genetic components during evolution when facing selective pressure. These results are critically important for further understanding of phage roles in host physiology and the pathology of disease.
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Affiliation(s)
- Junrong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Zengqiang Kou
- Shandong Provincial Centre for Disease Control and Prevention, Jinan, China
| | - Shuai Qin
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Yuhuang Chen
- Shenzhen Nanshan Maternity and Child Heath Care Hospital, Shenzhen, China
| | - Zhenpeng Li
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Chuchu Li
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.,Department of Pathogenic Biology, School of Medical Science, Jiangsu University, Zhenjiang, China
| | - Ran Duan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Huijing Hao
- Chang Ping Women and Children Health Care Hospital, Beijing, China
| | - Tao Zha
- Wuhu Municipal Centre for Disease Control and Prevention, Wuhu, China
| | - Wenpeng Gu
- Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Yuanming Huang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Meng Xiao
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Xin Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
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30
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Yang K, He Y, Park CG, Kang YS, Zhang P, Han Y, Cui Y, Bulgheresi S, Anisimov AP, Dentovskaya SV, Ying X, Jiang L, Ding H, Njiri OA, Zhang S, Zheng G, Xia L, Kan B, Wang X, Jing H, Yan M, Li W, Wang Y, Xiamu X, Chen G, Ma D, Bartra SS, Plano GV, Klena JD, Yang R, Skurnik M, Chen T. Yersinia pestis Interacts With SIGNR1 (CD209b) for Promoting Host Dissemination and Infection. Front Immunol 2019; 10:96. [PMID: 30915064 PMCID: PMC6422942 DOI: 10.3389/fimmu.2019.00096] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 01/14/2019] [Indexed: 01/01/2023] Open
Abstract
Yersinia pestis, a Gram-negative bacterium and the etiologic agent of plague, has evolved from Yersinia pseudotuberculosis, a cause of a mild enteric disease. However, the molecular and biological mechanisms of how Y. pseudotuberculosis evolved to such a remarkably virulent pathogen, Y. pestis, are not clear. The ability to initiate a rapid bacterial dissemination is a characteristic hallmark of Y. pestis infection. A distinguishing characteristic between the two Yersinia species is that Y. pseudotuberculosis strains possess an O-antigen of lipopolysaccharide (LPS) while Y. pestis has lost the O-antigen during evolution and therefore exposes its core LPS. In this study, we showed that Y. pestis utilizes its core LPS to interact with SIGNR1 (CD209b), a C-type lectin receptor on antigen presenting cells (APCs), leading to bacterial dissemination to lymph nodes, spleen and liver, and the initiation of a systemic infection. We therefore propose that the loss of O-antigen represents a critical step in the evolution of Y. pseudotuberculosis into Y. pestis in terms of hijacking APCs, promoting bacterial dissemination and causing the plague.
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Affiliation(s)
- Kun Yang
- Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Pathogen Biology and Immunology, Shihezi University School of Medicine, Shihezi, China
| | - Yingxia He
- Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chae Gyu Park
- Laboratory of Immunology, Brain Korea 21 PLUS Project for Medical Science, Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Young Sun Kang
- Laboratory of Immunology, Brain Korea 21 PLUS Project for Medical Science, Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Pei Zhang
- Department of Biomedical Sciences, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Yanping Han
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Silvia Bulgheresi
- Department of Ecogenomics and Systems Biology, University of Vienna, Vienna, Austria
| | - Andrey P Anisimov
- State Research Center for Applied Microbiology and Biotechnology, Obolensk, Russia
| | | | - Xiaoling Ying
- Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lingyu Jiang
- Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Honghui Ding
- Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Olivia Adhiambo Njiri
- Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Biological Sciences, Faculty of Science, Technology and Engineering, Chuka University, Chuka, Kenya
| | - Shusheng Zhang
- Department of Biomedical Sciences, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Guoxing Zheng
- Department of Biomedical Sciences, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Lianxu Xia
- National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Biao Kan
- National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Wang
- National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meiying Yan
- National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Li
- National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanzhi Wang
- Department of Pathogen Biology and Immunology, Shihezi University School of Medicine, Shihezi, China
| | - Xiding Xiamu
- Department of Pathogen Biology and Immunology, Shihezi University School of Medicine, Shihezi, China
| | - Gang Chen
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ding Ma
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sara Schesser Bartra
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Gregory V Plano
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - John D Klena
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Mikael Skurnik
- Department of Bacteriology and Immunology, Haartman Institute, Helsinki University Central Hospital Laboratory Diagnostics, University of Helsinki, Helsinki, Finland
| | - Tie Chen
- Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Pathogen Biology and Immunology, Shihezi University School of Medicine, Shihezi, China
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31
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Peng Z, Zou M, Li M, Liu D, Guan W, Hao Q, Xu J, Zhang S, Jing H, Li Y, Liu X, Yu D, Yan S, Wang W, Li F. Prevalence, antimicrobial resistance and phylogenetic characterization of Yersinia enterocolitica in retail poultry meat and swine feces in parts of China. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.05.048] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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32
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Wang LJ, Zhou Y, Qi L, Liang JR, Sun H, Xu BL, Wang J, Wang X, Jing HQ. [Etiological study of diarrhea in children under 5 years old in Dongcheng district of Beijing]. Zhonghua Yu Fang Yi Xue Za Zhi 2018; 52:936-940. [PMID: 30196642 DOI: 10.3760/cma.j.issn.0253-9624.2018.09.013] [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] [Indexed: 06/08/2023]
Abstract
Objective: To analyze the etiological characteristics of infectious diarrhea among people under 5 years old in Dongcheng District, Beijing. Methods: The age, time of infection, clinical symptoms and laboratory test results of the cases who didn't used antibiotics within 3 days in the second maternal and child health care hospital were collected from 2012 to 2015, through the information management system of infectious disease monitoring technology platform. To compare the detection rate of virus and bacteria in children with different sex, time and age,and the difference of clinical characteristics between virus detection group and bacteria detection group by chi square test. Results: 1 977 cases of infectious diarrhea were collected, the median of the month age (P(25), P(75)) was 14.19 (8.31, 23.15) months. The virus detection rate was 34.3% (679 cases); the bacterial detection rate was 14.6% (288 cases). The difference of virus detection rate in children with different months was statistically significant (χ(2)=72.38, P<0.001), the virus detection rate of 24-60 months (40.9% (188/460)) was the hightest, and the detection rate of 0-5 months (15.3% (48/314)) was the lowest. The difference of bacteria detection rate was also statistically significant (χ(2)=32.67, P<0.001), and the detection rate of 12-17 months (19.0% (81/426)) was the highest, the detection rate of 0-5 months (6.7% (21/314)) was the lowest. The proportion of vomit and water sample in the virus detection group was 22.2% (136 cases) and 73.3% (449 cases), respectively, which were higher than those in bacteria detection group (8.1% (18 cases) and 57.2% (127 cases)), the difference was statistically significant (χ(2) values were 125.92 and 19.60; P values were both<0.001); the proportion of mucus stool and fever was 0.8% (5 cases) and 14.0% (86 cases), respectively, which were lower than those in bacterial detection group (4.1% (9 cases) and 18.5% (41 cases)), and the difference was statistically significant (χ(2) values were 8.50 and 23.01; P values were 0.004 and <0.001). Conclusion: The virus detection rate of infantile infective diarrhea is higher than that of bacteria in Dongcheng district of Beijing, and the clinical characteristics are significantly different.
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Affiliation(s)
- L J Wang
- Dongcheng District Center for Disease Control and Prevention, Beijing 100009, China
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Liao F, Gu W, Li D, Liang J, Fu X, Xu W, Duan R, Wang X, Jing H, Dai J. Characteristics of microbial communities and intestinal pathogenic bacteria for migrated Larus ridibundus in southwest China. Microbiologyopen 2018; 8:e00693. [PMID: 29978594 PMCID: PMC6460275 DOI: 10.1002/mbo3.693] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 06/18/2018] [Accepted: 06/19/2018] [Indexed: 01/27/2023] Open
Abstract
Larus ridibundus, a migratory wild bird, has become one of the most popular gull species in southwest China in recent years. There has been no information on the gut microbiota and intestinal pathogenic bacteria configuration in wild L. ridibundus, even though the public are in close contact with this bird. In this study, 16S rRNA amplicon‐sequencing methods were used to describe the microbial community structure and intestinal pathogenic bacteria were isolated to identify their characteristics. The taxonomic results revealed that Firmicutes (86%), Proteobacteria (10%), and Tenericutes (3%) were the three most abundant phyla in the gut of L. ridibundus. Enterococcaceae, Enterobacteriaceae, and Mycoplasmataceae were the most predominant families, respectively. The number of operational taxonomic units (OTUs), the richness estimates and diversity indices of microbiota, was statistically different (p < 0.05). However, beta diversity showed that no statistical significance (p > 0.05) between all the fecal samples. The most frequently isolated intestinal pathogenic bacteria from L. ridibundus were enteropathogenic Escherichia coli (32%) and Salmonella (21%). Pulsed‐field gel electrophoresis (PFGE) results of Salmonella species revealed a high degree of similarity between isolates, which was not observed for other species. None of the potentially pathogenic isolates were identical to human‐isolated counterparts suggesting that there was little cross‐infection between humans and gulls, despite close proximity. In brief, this study provided a baseline for future L. ridibundus microbiology analysis, and made an understanding of the intestinal bacterial community structure and diversity.
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Affiliation(s)
- Feng Liao
- Department of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.,The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Wenpeng Gu
- Center of Tree Shrew Germplasm Resources, Institute of Medical Biology, The Chinese Academy of Medical Science and Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Yunnan Innovation Team of Standardization and Application Research in Tree Shrew, Kunming, China.,Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Duo Li
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China
| | - Xiaoqing Fu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Wen Xu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China
| | - Jiejie Dai
- Center of Tree Shrew Germplasm Resources, Institute of Medical Biology, The Chinese Academy of Medical Science and Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Yunnan Innovation Team of Standardization and Application Research in Tree Shrew, Kunming, China
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Liao F, Mo Z, Chen M, Pang B, Fu X, Xu W, Jing H, Kan B, Gu W. Comparison and Evaluation of the Molecular Typing Methods for Toxigenic Vibrio cholerae in Southwest China. Front Microbiol 2018; 9:905. [PMID: 29867816 PMCID: PMC5951969 DOI: 10.3389/fmicb.2018.00905] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 04/18/2018] [Indexed: 11/15/2022] Open
Abstract
Vibrio cholerae O1 strains taken from the repository of Yunnan province, southwest China, were abundant and special. We selected 70 typical toxigenic V. cholerae (69 O1 and one O139 serogroup strains) isolated from Yunnan province, performed the pulsed field gel electrophoresis (PFGE), multilocus sequence typing (MLST), and MLST of virulence gene (V-MLST) methods, and evaluated the resolution abilities for typing methods. The ctxB subunit sequence analysis for all strains have shown that cholera between 1986 and 1995 was associated with mixed infections with El Tor and El Tor variants, while infections after 1996 were all caused by El Tor variant strains. Seventy V. cholerae obtained 50 PFGE patterns, with a high resolution. The strains could be divided into three groups with predominance of strains isolated during 1980s, 1990s, and 2000s, respectively, showing a good consistency with the epidemiological investigation. We also evaluated two MLST method for V. cholerae, one was used seven housekeeping genes (adk, gyrB, metE, pntA, mdh, purM, and pyrC), and all the isolates belonged to ST69; another was used nine housekeeping genes (cat, chi, dnaE, gyrB, lap, pgm, recA, rstA, and gmd). A total of seven sequence types (STs) were found by using this method for all the strains; among them, rstA gene had five alleles, recA and gmd have two alleles, and others had only one allele. The virulence gene sequence typing method (ctxAB, tcpA, and toxR) showed that 70 strains were divided into nine STs; among them, tcpA gene had six alleles, toxR had five alleles, while ctxAB was identical for all the strains. The latter two sequences based typing methods also had consistency with epidemiology of the strains. PFGE had a higher resolution ability compared with the sequence based typing method, and MLST used seven housekeeping genes showed the lower resolution power than nine housekeeping genes and virulence genes methods. These two sequence typing methods could distinguish some epidemiological special strains in local area.
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Affiliation(s)
- Feng Liao
- Department of Respiratory Medicine, First People's Hospital of Yunnan Province, Kunming, China
| | - Zhishuo Mo
- The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Meiling Chen
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Bo Pang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Xiaoqing Fu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Wen Xu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Biao Kan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Wenpeng Gu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China.,Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical School, Kunming, China
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Duan R, Liang J, Zhang J, Chen Y, Wang J, Tong J, Guo B, Hu W, Wang M, Zhao J, Liu C, Hao H, Wang X, Jing H. Prevalence of Yersinia enterocolitica Bioserotype 3/O:3 among Children with Diarrhea, China, 2010-2015. Emerg Infect Dis 2018; 23:1502-1509. [PMID: 28820132 PMCID: PMC5572862 DOI: 10.3201/eid2309.160827] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Yersinia enterocolitica is thought to not significantly contribute to diarrheal disease in China, but evidence substantiating this claim is limited. We determined the prevalence of Y. enterocolitica infection and strain types present among children <5 years of age with diarrhea in China. The overall prevalence of pathogenic isolates was 0.59%. Prevalence of pathogenic bioserotype 3/O:3 varied geographically. In this population, the presence of fecal leukocytes was a characteristic of Y. enterocolitica infection and should be used as an indication for microbiological diagnostic testing, rather than for the diagnosis of bacillary dysentery. In contrast with Y. enterocolitica isolates from adults, which were primarily biotype 1A, isolates from children were primarily bioserotype 3/O:3. Most pathogenic isolates from children shared pulsed-field gel electrophoresis patterns with isolates from pigs and dogs, suggesting a possible link between isolates from animals and infections in children. Our findings underscore the need for improved diagnostics for this underestimated pathogen.
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36
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Liu C, Li C, Chen Y, Hao H, Liang J, Duan R, Guo Z, Zhang J, Zhao Z, Jing H, Wang X, Shao S. Role of Low-Molecular-Mass Penicillin-Binding Proteins, NagZ and AmpR in AmpC β-lactamase Regulation of Yersinia enterocolitica. Front Cell Infect Microbiol 2017; 7:425. [PMID: 29021974 PMCID: PMC5623720 DOI: 10.3389/fcimb.2017.00425] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 09/14/2017] [Indexed: 11/23/2022] Open
Abstract
Yersinia enterocolitica encodes a chromosomal AmpC β-lactamase under the regulation of the classical ampR-ampC system. To obtain a further understanding to the role of low-molecular-mass penicillin-binding proteins (LMM PBPs) including PBP4, PBP5, PBP6, and PBP7, as well as NagZ and AmpR in ampC regulation of Y. enterocolitica, series of single/multiple mutant strains were systematically constructed and the ampC expression levels were determined by luxCDABE reporter system, reverse transcription-PCR (RT-PCR) and β-lactamase activity test. Sequential deletion of PBP5 and other LMM PBPs result in a continuously growing of ampC expression level, the β-lactamse activity of quadruple deletion strain YEΔ4Δ5Δ6Δ7 (pbp4, pbp5, pbp6, and pbp7 inactivated) is approached to the YEΔD123 (ampD1, ampD2, and ampD3 inactivated). Deletion of nagZ gene caused two completely different results in YEΔD123 and YEΔ4Δ5Δ6Δ7, NagZ is indispensable for YEΔ4Δ5Δ6Δ7 ampC derepression phenotype but dispensable for YEΔD123. AmpR is essential for ampC hyperproduction in these two types of strains, inactivation of AmpR notable reduced the ampC expression level in both YEΔD123 and YEΔ4Δ5Δ6Δ7.
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Affiliation(s)
- Chang Liu
- Department of Pathogenic Biology, School of Medical Science, Jiangsu University, Zhenjiang, China.,National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Chuchu Li
- Department of Pathogenic Biology, School of Medical Science, Jiangsu University, Zhenjiang, China.,National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yuhuang Chen
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Huijing Hao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Zhaoke Guo
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Jing Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Zhongzhi Zhao
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Shihe Shao
- Department of Pathogenic Biology, School of Medical Science, Jiangsu University, Zhenjiang, China
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Wang H, Zheng H, Li Q, Xu Y, Wang J, Du P, Li X, Liu X, Zhang L, Zou N, Yan G, Zhang Z, Jing H, Xu J, Xiong Y. Defining the Genetic Features of O-Antigen Biosynthesis Gene Cluster and Performance of an O-Antigen Serotyping Scheme for Escherichia albertii. Front Microbiol 2017; 8:1857. [PMID: 29018428 PMCID: PMC5622975 DOI: 10.3389/fmicb.2017.01857] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 09/12/2017] [Indexed: 01/01/2023] Open
Abstract
Escherichia albertii is a newly described and emerging diarrheagenic pathogen responsible for outbreaks of gastroenteritis. Serotyping plays an important role in diagnosis and epidemiological studies for pathogens of public health importance. The diversity of O-antigen biosynthesis gene clusters (O-AGCs) provides the primary basis for serotyping. However, little is known about the distribution and diversity of O-AGCs of E. albertii strains. Here, we presented a complete sequence set for the O-AGCs from 52 E. albertii strains and identified seven distinct O-AGCs. Six of these were also found in 15 genomes of E. albertii strains deposited in the public database. Possession of wzy/wzx genes in each O-AGC strongly suggest that O-antigens of E. albertii were synthesized by the Wzx/Wzy-dependent pathway. Furthermore, we performed an O-antigen serotyping scheme for E. albertii based on specific antisera against seven O-antigens and a high throughput xTAG Luminex assay to simultaneously detect seven O-AGCs. Both methods accurately identified serotypes of 64 tested E. albertii strains. Our data revealed the high-level diversity of O-AGCs in E. albertii. We also provide valuable methods to reliably identify and serotype this bacterium.
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Affiliation(s)
- Hong Wang
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Han Zheng
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qun Li
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Yanmei Xu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianping Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Pengcheng Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xinqiong Li
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Xiang Liu
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Ling Zhang
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Nianli Zou
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Guodong Yan
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Zhengdong Zhang
- Zigong Center for Disease Control and Prevention, Zigong, China
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 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, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 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, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Zhang ZK, Lai SJ, Yu JX, Yang WQ, Wang X, Jing HQ, Li ZJ, Yang WZ. [Epidemiological characteristics of diarrheagenic Escherichia coli among diarrhea outpatients in China, 2012-2015]. Zhonghua Liu Xing Bing Xue Za Zhi 2017; 38:419-423. [PMID: 28468055 DOI: 10.3760/cma.j.issn.0254-6450.2017.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the epidemiological characteristics of diarrheagenic Escherichia (E.) coli (DEC) among diarrhea outpatients in China. Methods: Diarrhea surveillance program was conducted in outpatient and emergency departments from 170 hospitals that under the sentinel programs in 27 provinces, from 2012-2015. Clinical and epidemiological data regarding diarrhea patients were collected, with fecal specimens sampled and tested for DEC in 92 network-connected laboratories. Results: Among all the 46 721 diarrhea cases, 7.7% of them appeared DEC positive in those with geographic heterogeneity. In 2 982 cases (6.4%) with available data on PCR subtypes of DEC, enteroaggregative E. coli (EAEC, 1 205 cases, 40.4%) appeared the most commonly seen pathogens, followed by enteropathogenic E. coli (EPEC, 815 cases, 27.3%), and enterotoxigenic E.coli (ETEC, 653 cases, 21.9%). The highest positive rate of DEC was observed in outpatients of 25-34 years old (10.1%), living in the warm temperate zones (11.1%), and with mucous-like stool (9.4%). The positive rate of DEC showed a strong seasonal pattern, with peaks in summer, for all the subtypes. Conclusions: DEC seemed easy to be detected among diarrhea outpatients in China, with EAEC, EPEC and ETEC the most commonly identified subtypes. Epidemiological characteristics regarding the heterogeneities of DEC appeared different, in regions, age groups and seasons. Long-term surveillance programs should be strengthened to better understand the epidemiology of DEC, in China.
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Affiliation(s)
- Z K Zhang
- Department of Laboratory Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Key Laboratory of Clinical in Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou 310003, China; Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease
| | - S J Lai
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease
| | - J X Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease
| | - W Q Yang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease
| | - X Wang
- Emergency Laboratory, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Q Jing
- Emergency Laboratory, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z J Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease
| | - W Z Yang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease
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Hao M, Zhang P, Li B, Liu X, Zhao Y, Tan H, Sun C, Wang X, Wang X, Qiu H, Wang D, Diao B, Jing H, Yang R, Kan B, Zhou L. Development and evaluation of an up-converting phosphor technology-based lateral flow assay for the rapid, simultaneous detection of Vibrio cholerae serogroups O1 and O139. PLoS One 2017; 12:e0179937. [PMID: 28662147 PMCID: PMC5491072 DOI: 10.1371/journal.pone.0179937] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 06/06/2017] [Indexed: 01/08/2023] Open
Abstract
Vibrio cholerae serogroups O1 and O139 are etiological agents of cholera, a serious and acute diarrheal disease, and rapid detection of V. cholerae is a key method for preventing and controlling cholera epidemics. Here, a point of care testing (POCT) method called Vch-UPT-LF, which is an up-converting phosphor technology-based lateral flow (UPT-LF) assay with a dual-target detection mode, was developed to detect V. cholerae O1 and O139 simultaneously from one sample loading. Although applying an independent reaction pair made both detection results for the two Vch-UPT-LF detection channels more stable, the sensitivity slightly declined from 104 to 105 colony-forming units (CFU) mL-1 compared with that of the single-target assay, while the quantification ranges covering four orders of magnitude were maintained. The strip showed excellent specificity for seven Vibrio species that are highly related genetically, and nine food-borne species whose transmission routes are similar to those of V. cholerae. The legitimate arrangement of the two adjacent test lines lessened the mutual impact of the quantitation results between the two targets, and the quantification values did not differ by more than one order of magnitude when the samples contained high concentrations of both V. cholerae O1 and O139. Under pre-incubation conditions, 1×101 CFU mL-1 of V. cholerae O1 or O139 could be detected in fewer than 7 h, while the Vch-UPT-LF assay exhibited sensitivity as high as a real-time fluorescent polymerase chain reaction with fewer false-positive results. Therefore, successful development of Vch-UPT-LF as a dual-target assay for quantitative detection makes this assay a good candidate POCT method for the detection and surveillance of epidemic cholera.
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Affiliation(s)
- Min Hao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P. R. China
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing, P. R. China
| | - Pingping Zhang
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
| | - Baisheng Li
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, P. R. China
| | - Xiao Liu
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
- Chongqing Entry Exit Inspection and Quarantine Bureau, Chongqing, P. R. China
| | - Yong Zhao
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
| | - Hailing Tan
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, P. R. China
| | - Chongyun Sun
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
- Department of Clinical Laboratory, Chinese People’s Liberation Army General Hospital, Beijing, P. R. China
| | - Xiaochen Wang
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, P. R. China
| | - Xinrui Wang
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
- Institute for Plague Prevention and Control of Hebei Province, Zhangjiakou, Hebei, P. R. China
| | - Haiyan Qiu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P. R. China
| | - Duochun Wang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P. R. China
| | - Baowei Diao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P. R. China
| | - Huaiqi Jing
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P. R. China
| | - Ruifu Yang
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
| | - Biao Kan
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P. R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang, P. R. China
| | - Lei Zhou
- Laboratory of Analytical Microbiology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
- Beijing Key Laboratory of POCT for Bioemergency and Clinic (No. BZ0329), Beijing, P. R. China
- College of Life Sciences, Northwest University, Xi’an, Shanxi, P. R. China
- National Engineering Research Center for Miniaturized Detection Systems, Northwest University, Xi’an, Shanxi, P. R. China
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40
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Yang H, Gu W, Qiu H, Sun G, Liang J, Li K, Xiao Y, Duan R, Jing H, Wang X. Comparison of Growth and the Cytokines Induced by Pathogenic Yersinia enterocolitica Bio-Serotypes 3/O: 3 and 2/O: 9. Front Cell Infect Microbiol 2017; 7:158. [PMID: 28507952 PMCID: PMC5410558 DOI: 10.3389/fcimb.2017.00158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 04/12/2017] [Indexed: 12/04/2022] Open
Abstract
Pathogenic Yersinia enterocolitica is widely distributed in China where the primary bio-serotypes are 3/O: 3 and 2/O: 9. Recently, the distribution of 2/O: 9 strains are being gradually replaced by 3/O: 3 strains where presently 3/O: 3 strains are the major pathogenic Y. enterocolitica in China. To identify the growth conditions and cytokines induced by Y. enterocolitica and providing some clues for this shift, we performed competitive growth in vitro and in vivo for these two bio-serotype strains; and we also compared the cytokines induced by them in infected BALB/C mice. We found 2/O: 9 strains grew more in vitro, while 3/O: 3 strains grew more in vivo regardless of using single cultures or mixed cultures. The cytokines induced by the two strains were similar: interleukin-6 (IL-6), IL-9, IL-13, granulocyte colony-stimulating factor (G-CSF), chemokines (KC), monocyte chemotactic protein 1 (MCP-1), macrophage inflammation protein-1α (MIP-1α), tumor necrosis factor-α (TNF-α), and RANTES were statistically up-regulated upon activation of normal T cells compared to the control. The cytokine values were higher in mixed infections than in single infections except for IL-6, G-CSF, and KC. The data illustrated the different growth of pathogenic Y. enterocolitica bio-serotype 3/O: 3 and 2/O: 9 in vitro and in vivo, and the cytokine changes induced by the two strains in infected BALB/C mice. The growth comparisons of two strains maybe reflect the higher pathogenic ability or resistance to host immune response for Y. enterocolitica bio-serotype 3/O: 3 and maybe it as one of the reason for bacteria shift.
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Affiliation(s)
- Haoshu Yang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China.,Lianyungang Center of Disease Control and PreventionLianyungang, China
| | - Wenpeng Gu
- Yunnan Provincial Centres for Disease Control and PreventionKunming, China
| | - Haiyan Qiu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Guixiang Sun
- Department of Public Health, Xuzhou Medical CollegeXuzhou, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Kewei Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Yuchun Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
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Zhang Z, Lai S, Yu J, Geng Q, Yang W, Chen Y, Wu J, Jing H, Yang W, Li Z. Etiology of acute diarrhea in the elderly in China: A six-year observational study. PLoS One 2017; 12:e0173881. [PMID: 28323855 PMCID: PMC5360259 DOI: 10.1371/journal.pone.0173881] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 02/28/2017] [Indexed: 11/19/2022] Open
Abstract
Acute diarrhea leads to a substantial disease burden among the elderly worldwide. However, in the context of increasingly aging trend in China, the prevalence of etiological agents among elderly diarrheal patients was undetermined. This study aimed to explore the major enteropathogens of acute diarrhea among outpatients older than 65 years in China, and also the epidemiological features of the pathogens. Demographic and clinical data for acute diarrhea among outpatients older than 65 years were collected from 213 participating hospitals from 2009 to 2014. Stool specimens were collected and tested for 13 enteric viruses and bacteria. The proportion of outpatients positive for targeted pathogens was analyzed by residential areas and seasonal patterns. Among the 7,725 patients enrolled, 1,617 (20.9%)were positive for any one of the 13 study pathogens. The predominant pathogen was norovirus (9.0%), followed by diarrheagenic Escherichia coli (DEC) (5.5%), rotavirus (3.9%), non-typhoidal Salmonella (NTS) (2.9%), and Shigella spp. (2.5%). The prevalence of Shigella spp. among rural patients (6.9%) was higher than that among urban patients (1.6%) (p < 0.001), with opposite trend for DEC (3.6% versus 5.9%, p = 0.007). An obvious seasonal pattern was observed for major pathogens, with peak for norovirus in autumn, rotavirus in winter and DEC, NTS, and Shigella spp. in summer. A wide variety of enteropathogens were detected among the elderly with acute diarrhea in China, with norovirus and DEC being the most commonly isolated pathogens. A strong seasonal pattern was observed for major pathogens of acute diarrhea among the elderly.
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Affiliation(s)
- Zike Zhang
- Department of Laboratory Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shengjie Lai
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- Worldpop, Department of Geography and Environment, University of Southampton, Southampton, United Kingdom
| | - Jianxing Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences &Peking Union Medical College, Beijing, China
| | - Qibin Geng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China
| | - Wanqi Yang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China
| | - Yu Chen
- Department of Laboratory Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
| | - Jianguo Wu
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China
| | - Huaiqi Jing
- National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weizhong Yang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail: (ZL); (WZY)
| | - Zhongjie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail: (ZL); (WZY)
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Du P, Zheng H, Zhou J, Lan R, Ye C, Jing H, Jin D, Cui Z, Bai X, Liang J, Liu J, Xu L, Zhang W, Chen C, Xu J. Detection of Multiple Parallel Transmission Outbreak of Streptococcus suis Human Infection by Use of Genome Epidemiology, China, 2005. Emerg Infect Dis 2017; 23:204-211. [PMID: 27997331 PMCID: PMC5324821 DOI: 10.3201/eid2302.160297] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Streptococcussuis sequence type 7 emerged and caused 2 of the largest human infection outbreaks in China in 1998 and 2005. To determine the major risk factors and source of the infections, we analyzed whole genomes of 95 outbreak-associated isolates, identified 160 single nucleotide polymorphisms, and classified them into 6 clades. Molecular clock analysis revealed that clade 1 (responsible for the 1998 outbreak) emerged in October 1997. Clades 2–6 (responsible for the 2005 outbreak) emerged separately during February 2002–August 2004. A total of 41 lineages of S.suis emerged by the end of 2004 and rapidly expanded to 68 genome types through single base mutations when the outbreak occurred in June 2005. We identified 32 identical isolates and classified them into 8 groups, which were distributed in a large geographic area with no transmission link. These findings suggest that persons were infected in parallel in respective geographic sites.
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Liu C, Wang X, Chen Y, Hao H, Li X, Liang J, Duan R, Li C, Zhang J, Shao S, Jing H. Three Yersinia enterocolitica AmpD Homologs Participate in the Multi-Step Regulation of Chromosomal Cephalosporinase, AmpC. Front Microbiol 2016; 7:1282. [PMID: 27588018 PMCID: PMC4988969 DOI: 10.3389/fmicb.2016.01282] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 08/03/2016] [Indexed: 11/29/2022] Open
Abstract
In many gram negative bacilli, AmpD plays a key role in both cell well-recycling pathway and β-lactamase regulation, inactivation of the ampD causes the accumulation of 1,6-anhydromuropeptides, and results in the ampC overproduction. In Yersinia enterocolitica, the regulation of ampC expression may also rely on the ampR-ampC system, the role of AmpD in this species is still unknown. In this study, three AmpD homologs (AmpD1, AmpD2, and AmpD3) have been identified in complete sequence of strain Y. enterocolitica subsp. palearctica 105.5R(r). To understand the role of three AmpD homologs, several mutant strains were constructed and analyzed where a rare ampC regulation mechanism was observed: low-effective ampD2 and ampD3 cooperate with the high-effective ampD1 in the three levels regulation of ampC expression. Enterobacteriaceae was used to be supposed to regulate ampC expression by two steps, three steps regulation was only observed in Pseudomonas aeruginosa. In this study, we first reported that Enterobacteriaceae Y. enterocolitica can also possess a three steps stepwise regulation mechanism, regulating the ampC expression precisely.
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Affiliation(s)
- Chang Liu
- Department of Pathogenic Biology, School of Medical Science, Jiangsu UniversityZhenjiang, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
| | - Yuhuang Chen
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
| | - Huijing Hao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
| | - Xu Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
| | - Chuchu Li
- Department of Pathogenic Biology, School of Medical Science, Jiangsu UniversityZhenjiang, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesBeijing, China
| | - Jing Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
| | - Shihe Shao
- Department of Pathogenic Biology, School of Medical Science, Jiangsu University Zhenjiang, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Beijing, China
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Liao F, Pang B, Fu X, Xu W, Kan B, Jing H, Gu W. The complete genomic analysis of an imported Vibrio cholerae from Myanmar in southwest China. Infect Genet Evol 2016; 44:272-277. [PMID: 27448952 DOI: 10.1016/j.meegid.2016.07.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 07/03/2016] [Accepted: 07/19/2016] [Indexed: 11/25/2022]
Abstract
We sequenced and analyzed an imported Vibrio cholerae from Mynamar in 2011 by using whole genome sequencing method in Yunnan Province, southwest China. Other 3 isolates of V. cholerae in Yunnan were also sequenced for comparing purpose. Illumina Hiseq2500 was used and the sequencing results were assembled and annotated. The comparative genomic analysis was also performed with 101 reference strains from China and abroad. The results showed the imported V. cholerae (YN2011004) had two chromosomes and one plasmid; chr1 contained 2727 predicted genes, and 958 genes for chr2. Phylogenomic tree results showed YN2011004 belonged to the seventh pandemic strain, clustered into wave 3 and clade 3B. The strain had the highly homology with SN083 and 4remapscaff isolated in 2010 from other parts of China, and clustered with SN117, VC50 remapscaff, VC57 remapscaff and SN034. These references V. cholerae mostly isolated from coastal areas of China in 2008. For the other 3 strains' comparison, it suggested that V. cholerae in 1990s in Yunnan had the close relationship with the prevalence of cholera in Southeast Asia. Therefore, we thought that the cholera in Yunnan was consistent with the epidemic trend of China, being the "sink" for external source and also acted as a "source" for spread. Moreover, we considered that the imported V. cholerae from Myanmar in 2011 actually was the exported strain from China, and it provided us a new sight for the bacterial change and evolution.
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Affiliation(s)
- Feng Liao
- Department of Respiratory Medicine, The First People's Hospital of Yunnan province, 650022 Kunming, China
| | - Bo Pang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, 102206 Beijing, China
| | - Xiaoqing Fu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, 650022 Kunming, China
| | - Wen Xu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, 650022 Kunming, China
| | - Biao Kan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, 102206 Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, 102206 Beijing, China
| | - Wenpeng Gu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Provincial Centre for Disease Control and Prevention, 650022 Kunming, China.
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Shi G, Su M, Liang J, Duan R, Gu W, Xiao Y, Zhang Z, Qiu H, Zhang Z, Li Y, Zhang X, Ling Y, Song L, Chen M, Zhao Y, Wu J, Jing H, Xiao J, Wang X. Complete genome sequence and comparative genome analysis of a new special Yersinia enterocolitica. Arch Microbiol 2016; 198:673-87. [PMID: 27129539 DOI: 10.1007/s00203-016-1229-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Revised: 04/15/2016] [Accepted: 04/25/2016] [Indexed: 10/21/2022]
Abstract
Yersinia enterocolitica is the most diverse species among the Yersinia genera and shows more polymorphism, especially for the non-pathogenic strains. Individual non-pathogenic Y. enterocolitica strains are wrongly identified because of atypical phenotypes. In this study, we isolated an unusual Y. enterocolitica strain LC20 from Rattus norvegicus. The strain did not utilize urea and could not be classified as the biotype. API 20E identified Escherichia coli; however, it grew well at 25 °C, but E. coli grew well at 37 °C. We analyzed the genome of LC20 and found the whole chromosome of LC20 was collinear with Y. enterocolitica 8081, and the urease gene did not exist on the genome which is consistent with the result of API 20E. Also, the 16 S and 23 SrRNA gene of LC20 lay on a branch of Y. enterocolitica. Furthermore, the core-based and pan-based phylogenetic trees showed that LC20 was classified into the Y. enterocolitica cluster. Two plasmids (80 and 50 k) from LC20 shared low genetic homology with pYV from the Yersinia genus, one was an ancestral Yersinia plasmid and the other was novel encoding a number of transposases. Some pathogenic and non-pathogenic Y. enterocolitica-specific genes coexisted in LC20. Thus, although it could not be classified into any Y. enterocolitica biotype due to its special biochemical metabolism, we concluded the LC20 was a Y. enterocolitica strain because its genome was similar to other Y. enterocolitica and it might be a strain with many mutations and combinations emerging in the processes of its evolution.
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Affiliation(s)
- Guoxiang Shi
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Mingming Su
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, 155 Changbai Road Changping District, Beiing, 102206, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, 155 Changbai Road Changping District, Beiing, 102206, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Wenpeng Gu
- Yunnan Provincial Centre for Disease Control and Prevention, Kunming, People's Republic of China
| | - Yuchun Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, 155 Changbai Road Changping District, Beiing, 102206, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Zhewen Zhang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Haiyan Qiu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, 155 Changbai Road Changping District, Beiing, 102206, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Zheng Zhang
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Yi Li
- Wenzhou Municipal Centre for Disease Control and Prevention, Wenzhou, People's Republic of China
| | - Xiaohe Zhang
- Wenzhou Municipal Centre for Disease Control and Prevention, Wenzhou, People's Republic of China
| | - Yunchao Ling
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Lai Song
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Meili Chen
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Yongbing Zhao
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Jiayan Wu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, 155 Changbai Road Changping District, Beiing, 102206, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Jingfa Xiao
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, 155 Changbai Road Changping District, Beiing, 102206, People's Republic of China. .,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China.
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Liang J, Li X, Zha T, Chen Y, Hao H, Liu C, Duan R, Xiao Y, Su M, Wang X, Jing H. DTDP-rhamnosyl transferase RfbF, is a newfound receptor-related regulatory protein for phage phiYe-F10 specific for Yersinia enterocolitica serotype O:3. Sci Rep 2016; 6:22905. [PMID: 26965493 PMCID: PMC4786787 DOI: 10.1038/srep22905] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Accepted: 02/24/2016] [Indexed: 01/21/2023] Open
Abstract
Bacteriophages and their hosts are continuously engaged in evolutionary competition. Here we isolated a lytic phage phiYe-F10 specific for Yersinia enterocolitica serotype O:3. We firstly described the phage receptor was regulated by DTDP-rhamnosyl transferase RfbF, encoded within the rfb cluster that was responsible for the biosynthesis of the O antigens. The deletion of DTDP-rhamnosyl transferase RfbF of wild type O:3 strain caused failure in phiYe-F10 adsorption; however, the mutation strain retained agglutination with O:3 antiserum; and complementation of its mutant converted its sensitivity to phiYe-F10. Therefore, DTDP-rhamnosyl transferase RfbF was responsible for the phage infection but did not affect recognition of Y. enterocolitica O:3 antiserum. Further, the deletions in the putative O-antigen biosynthesis protein precursor and outer membrane protein had no effect on sensitivity to phiYe-F10 infection. However, adsorption of phages onto mutant HNF10-ΔO-antigen took longer time than onto the WT, suggesting that deletion of the putative O-antigen biosynthesis protein precursor reduced the infection efficiency.
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Affiliation(s)
- Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
| | - Xu Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
| | - Tao Zha
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China.,Wuhu Municipal Centre for Disease Control and Prevention, No. 178, Jiuhua central Road, Wuhu, Anhui Province, 241000, China
| | - Yuhuang Chen
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
| | - Huijing Hao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
| | - Chang Liu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China.,Department of Pathogenic Biology, School of Medical Science, Jiangsu University, Xuefu Road, Zhenjiang, Jiangsu Province, 212013, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
| | - Yuchun Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
| | - Mingming Su
- Institute of Biophysics, Chinese Academy of Sciences, No. 15, Datun Road, Chaoyang, Beijing, 100101, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No.155, Changbai Road, Changping, Beijing, 102206, China
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Zha T, Liang J, Xiao Y, Jing H. [Detection of Yersinia Enterocolitica Bacteriophage PhiYe-F10 Lysis Spectrum and Analysis of the Relationship between Lysis Ability and Virulence Gene of Yersinia Enterocolitica]. Bing Du Xue Bao 2016; 32:185-189. [PMID: 27396162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
To determine the lysis spectrum of Yersinia enterocolitica bacteriophage phiYe-F10 and to analyze the relationship between the lysis ability of phiYe-F10 and the virulence gene of Yersinia enterocolitica. To observe the lysis ability of the phage phiYe-F10 to the different Yersinia strains with the double-layer technique. The strains used in this study including 213 of Yersinia enterocolitica and 36 of Yersinia pseudotuberculosis and 1 of Yersinia pestis. The virulence genes of these Yersinia enterocolitica (attachment invasion locus (ail) and enterotoxin (ystA, ystB) and yersinia adhesin A (yadA), virulence factor (virF), specific gene for lipopolysaccharide O-side chain of serotype O : 3 (rfbc) were all detected. Among the 213 Yersinia enterocolitica, 84 strains were O : 3 serotype (78 strains with rfbc gene), 10 were serotype O : 5, 13 were serotype O : 8, 34 were serotype O : 9 and 72 were other serotypes. Of these, 77 were typical pathogenic Yersinia enterocolitica harboring with virulence plasmid (ail+, ystA+, ystB-, yadA+, virF+), and 15 were pathogenic bacterial strains deficiency virulence plasmid (ail+, ystA+, ystB-, yadA-, virF-) and the rest 121 were non pathogenic genotype strains. PhiYe-F10 lysed the 71 serotype O : 3 Yersinia enterocolitica strains which were all carried with rfbc+, including 52 pathogenic Yersinia enterocolitica, 19 nonpathogenic Y. enterocolitica. The phiYe-F10 can not lysed serotype O : 5, O : 9 and other serotype Y. enterocolitica, the lysis rate of serotype O : 3 was as high as 84.5%. The phiYe-F10 can not lysed Yersinia pseudotuberculosis and Yersinia pestis. Yersinia phage phiYe-F10 is highly specific for serotype O : 3 Yersinia enterocolitic at 25 degrees C, which showed a typical narrow lysis spectrum. Phage phiYe-F10 can lysed much more pathogenic Y. enterocolitica than nonpathogenic Y. enterocolitica.
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48
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Wang X, Wang J, Sun H, Xia S, Duan R, Liang J, Xiao Y, Qiu H, Shan G, Jing H. Etiology of Childhood Infectious Diarrhea in a Developed Region of China: Compared to Childhood Diarrhea in a Developing Region and Adult Diarrhea in a Developed Region. PLoS One 2015; 10:e0142136. [PMID: 26528820 PMCID: PMC4631449 DOI: 10.1371/journal.pone.0142136] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Accepted: 10/16/2015] [Indexed: 01/22/2023] Open
Abstract
In China, great differences in economy, social characteristics and hygiene exist between developing and developed regions. A comparative study of infectious diarrhea between two regions was needed. Three groups of diarrheal patients were collected: children ≤5 year-olds from Beijing (developed region) and Henan Province (developing region), and adults over 18 year-olds from Beijing. A questionnaire was used to survey and feces samples were examined for 16 enteropathogens. We enrolled 1422 children and 1047 adults from developed region and 755 children from developing region. Virus positive rates were 32.98% for children and 23.67% for adults in developed region. The most prevalent pathogen for children was rotavirus whereas for adults was norovirus. Bacterial isolation rates were 13.92% for children from developed region, while 29.14% for children from the developing regions. For the greatest difference, Shigella accounted for 50.79% and was the dominant pathogen in the developing region, whereas in the developed region it was only 1.45%. There was no significant relationship between the local levels of development with diarrheogenic Escherichia coli (DEC) categories. But it was seen the notable differences between the population with different age: enteropathogenic E.coli (EPEC) and enteroaggregative E.coli (EAggEC) were the primary classes of DEC in children from both regions, whereas it was enterotoxigenic E.coli (ETEC) in adults. The symptoms of Shigella and Salmonella infection, such as bloody stools, white blood cells (WBC) and red blood cells (RBC) positivity and fever were similar in children, which may lead to the misidentification. Yersinia enterocolitica and shiga toxin-producing E.coli (STEC) infections were firstly reported in Beijing. There was a large difference in etiology of bacterial diarrhea between children in developing and developed regions of China.
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Affiliation(s)
- Xin Wang
- Institute of Basic Medicine Science, Chinese Academy of Medicine Sciences, School of Basic Medicine, Peking Union Medicine College, Beijing, China
- National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Jing Wang
- Department of Infectious Disease, Dongcheng Centre for Disease Control and Prevention, Beijing, China
| | - Hao Sun
- Department of Infectious Disease, Dongcheng Centre for Disease Control and Prevention, Beijing, China
| | - Shengli Xia
- Department of Infectious Disease, Henan Provincial Centre for Disease Control and Prevention, Zhengzhou, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yuchun Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Haiyan Qiu
- National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Guangliang Shan
- Institute of Basic Medicine Science, Chinese Academy of Medicine Sciences, School of Basic Medicine, Peking Union Medicine College, Beijing, China
- * E-mail: (HJ); (GS)
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
- * E-mail: (HJ); (GS)
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Chen Y, Duan R, Li X, Li K, Liang J, Liu C, Qiu H, Xiao Y, Jing H, Wang X. Homology analysis and cross-immunogenicity of OmpA from pathogenic Yersinia enterocolitica, Yersinia pseudotuberculosis and Yersinia pestis. Mol Immunol 2015; 68:290-9. [PMID: 26435220 DOI: 10.1016/j.molimm.2015.09.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2015] [Revised: 09/15/2015] [Accepted: 09/22/2015] [Indexed: 11/19/2022]
Abstract
The outer membrane protein A (OmpA) is one of the intra-species conserved proteins with immunogenicity widely found in the family of Enterobacteriaceae. Here we first confirmed OmpA is conserved in the three pathogenic Yersinia: Yersinia pestis, Yersinia pseudotuberculosis and pathogenic Yersinia enterocolitica, with high homology at the nucleotide level and at the amino acid sequence level. The identity of ompA sequences for 262 Y. pestis strains, 134 Y. pseudotuberculosis strains and 219 pathogenic Y. enterocolitica strains are 100%, 98.8% and 97.7% similar. The main pattern of OmpA of pathogenic Yersinia are 86.2% and 88.8% identical at the nucleotide and amino acid sequence levels, respectively. Immunological analysis showed the immunogenicity of each OmpA and cross-immunogenicity of OmpA for pathogenic Yersinia where OmpA may be a vaccine candidate for Y. pestis and other pathogenic Yersinia.
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Affiliation(s)
- Yuhuang Chen
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Xu Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Kewei Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Chang Liu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Haiyan Qiu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yuchun Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China.
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50
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Liang J, Duan R, Xia S, Hao Q, Yang J, Xiao Y, Qiu H, Shi G, Wang S, Gu W, Wang C, Wang M, Tian K, Luo L, Yang M, Tian H, Wang J, Jing H, Wang X. Ecology and geographic distribution of Yersinia enterocolitica among livestock and wildlife in China. Vet Microbiol 2015; 178:125-31. [PMID: 25987302 DOI: 10.1016/j.vetmic.2015.05.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Revised: 04/30/2015] [Accepted: 05/05/2015] [Indexed: 11/30/2022]
Abstract
The results in this study show the prevalence of Yersinia enterocolitica varies in different animal species and regions of China. The highest prevalence is among pigs (12.91%), followed by dogs (9.80%), Ochotona curzoniae (plateau pica) (6.76%), chickens (4.50%), rodents (3.40%), cattle (2.78%) and sheep (0.89%). Pathogenic isolates comprised the majority of the Y. enterocolitica recovered from pigs (73.50%) and dogs (59.44%); whereas the nonpathogenic Y. enterocolitica made up most of poultry and wildlife recovered strains. A correlation analysis comparing the prevalence and geographic factors showed the isolation rate of Y. enterocolitica in pigs and dogs was negatively correlated with elevation (r=-0.50, P<0.05) and annual average air temperature (r=-0.43, P<0.05), but there was positive correlation with annual precipitation (r=0.43, P<0.05); conversely, the isolation rate from wildlife is positively correlated with elevation (r=0.3, P<0.05) contrary to the result seen in livestock. Twelve novel biotype 2 pathogenic Y. enterocolitica carried ail and ystB virulence genes, and one biotype 1A nonpathogenic strain positive with ail, ystB and ystA genes were isolated from Microtus fuscus (Qinghai vole) on plague foci of the Qinghai-Xizang plateau. The PFGE pattern K6GN11C30021 was predominant in pigs (44.25%) and patients (41.18%); K6GN11C30068 was predominant in dogs (40.16%). Animal isolates from the same region shared the same pattern (K6GN11C30021 and K6GN11C30012), indicating they may be from the same clone and arose through cross infection. Moreover, the identical PFGE pattern among local animals and diarrhea patients suggested that the animals may be the source of infections in these areas.
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Affiliation(s)
- Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Ran Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Shengli Xia
- Henan Provincial Centre for Disease Control and Prevention, Zhengzhou, China
| | - Qiong Hao
- Ningxia Hui Autonomous Region Center for Disease Control and Prevention, Yinchuan, China
| | - Jinchuan Yang
- Xuzhou Municipal Centre for Disease Control and Prevention, Xuzhou, China
| | - Yuchun Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Haiyan Qiu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Guoxiang Shi
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China
| | - Shukun Wang
- Yuxi Municipal Centre for Disease Control and Prevention, Yuxi, China
| | - Wenpeng Gu
- Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Chunxiang Wang
- Qinghai Provincial Centre for Disease Control and Prevention, Xining, China
| | - Mingliu Wang
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China
| | - Kecheng Tian
- Guizhou Provincial Centre for Disease Control and Prevention, Guiyang, China
| | - Longze Luo
- Sichuan Provincial Centre for Disease Control and Prevention, Chengdu, China
| | - Meng Yang
- Jiangxi Provincial Centre for Disease Control and Prevention, Nanchang, China
| | - Huaiyu Tian
- College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; School of Environment, Tsinghua University, Beijing, China
| | - Jiazheng Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China.
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China.
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