Literature DB >> 35433079

Performing Laboratory Network Surveillance to Monitor the Emergence and Spread of Infectious Diseases.

Biao Kan1,2.   

Abstract

Entities:  

Keywords:  laboratory; networks; surveillances

Year:  2022        PMID: 35433079      PMCID: PMC9005488          DOI: 10.46234/ccdcw2022.057

Source DB:  PubMed          Journal:  China CDC Wkly        ISSN: 2096-7071


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Laboratory systems are one of the pillars in the infrastructure for infectious disease control and prevention — surveillance, early warning, and emergency response capacities are a priority to public health. Laboratory based monitoring provides essential support for infection diagnosis, pathogen identification, spread tracking, and outbreak warning, especially for emerging infections caused by newly recognized pathogens and clusters of unknown diseases. In response to coronavirus disease 2019 (COVID-19) outbreaks, laboratories have played critical roles for virus discovery, infection diagnosis, carrier screening, epidemic trend analysis, transmission chain identification, source tracing, vaccine and drug development, and intervention effect assessments. Many clinical laboratories were rapidly equipped with the abilities of molecular diagnosis and virus genome sequencing, which provided data for public health decision-making. Infection diagnosis and analysis of pathogens from human, animal, and environmental sources are necessary. Since the pathogens can be transferred from one region to new regions, a laboratory-based network for surveillance should be established and the laboratory data shared for the purpose of joint surveillance and response. Besides laboratory tests, information techniques are necessary for the rapid sharing of data within the network. Traditional tests such as cultures and bio-typing of pathogens, antibody measurements, and molecular detection of genes have been commonly performed. Genome sequencing has been used progressively, which generated a vast ocean of sequence data for pathogen gene/genome detection and alignment. The era of microbial big data has come. Some laboratory-based surveillance networks have been implemented as international or countrywide surveillance, such as PulseNet International (), which is a global laboratory network for bacterial food-borne diseases. In the Netherlands, a national antimicrobial resistance (AMR) laboratory system was developed for the surveillance and control of antimicrobial resistance (). In China, to improve the surveillance and response abilities of infections and outbreaks, the Chinese Pathogen Identification Net (China PIN) was established in 2017 and has acted as a national laboratory-based surveillance and early warning network for bacterial infectious diseases. It is derived from the PulseNet China, a member of PulseNet International, and it currently still conducts the tasks of PulseNet China. China PIN is comprised of four levels of network laboratories in the disease prevention and control institutions, including national, provincial, prefectural, and county levels. It integrates laboratory techniques, database, information platform, and workflow management into the system. China PIN functions to carry out pathogen identification, outbreak detection, and source tracing through laboratory surveillance. In this special issue, we organized six analysis articles and application reports from the laboratories of China PIN to illustrate the missions and roles of the network. We presented a brief introduction of China PIN to summarize the organization, mission, and progress of the network (). Emerging pathogen identification is one task of China PIN, one paper reported two cholera outbreaks caused by the Serogroup O5 strains of Vibrio cholerae, which is a new serogroup causing cholera outbreak, though it does not carry cholera toxin genes (4). Another paper in “Outbreak Reports” reported the rare Anaplasma bovis infections in humans and pathogen carriage in ticks in environment, which corresponds to the role of China PIN in source tracking of infection with integrating of environmental monitoring (5). A field laboratory monitoring mode, which metagenomic sequencing and sequence analysis was performed in the mobile biosafety laboratory in the field, was reported to show the practicability of work mode and unexpected finding of pathogens (), corresponding to the tasks of pathogen identification by metagenomic next-generation sequencing (mNGS) and animal source investigation of China PIN. A typhoid fever outbreak caused by extensively drug-resistant (XDR) Salmonella serovar Typhi was reported () based on the etiological and genome sequence evidences. China PIN performed genome sequencing in transmission monitoring and source tracing of AMR strains. In one article of worldwide spread analysis of the mcr-carrying plasmids, the effect and role of resistant plasmid tracing using the complete plasmid sequences were shown (), which showed the necessity of complete plasmid genome sequences in AMR transmission monitoring. All the papers are representations of the missions of China PIN. Some laboratory findings have been used to launch joint investigations in the network laboratories in China PIN. These laboratory-based investigations and analyses applied genome sequencing in the monitoring of infectious diseases from the aspects of human, animal, and environment, showing the roles of laboratory surveillance networks under the framework of infectious disease control and the One Health approach.
  8 in total

1.  National laboratory-based surveillance system for antimicrobial resistance: a successful tool to support the control of antimicrobial resistance in the Netherlands.

Authors:  Wieke Altorf-van der Kuil; Annelot F Schoffelen; Sabine C de Greeff; Steven Ft Thijsen; H Jeroen Alblas; Daan W Notermans; Anne Lm Vlek; Marianne Ab van der Sande; Tjalling Leenstra
Journal:  Euro Surveill       Date:  2017-11

Review 2.  PulseNet International: Vision for the implementation of whole genome sequencing (WGS) for global food-borne disease surveillance.

Authors:  Celine Nadon; Ivo Van Walle; Peter Gerner-Smidt; Josefina Campos; Isabel Chinen; Jeniffer Concepcion-Acevedo; Brent Gilpin; Anthony M Smith; Kai Man Kam; Enrique Perez; Eija Trees; Kristy Kubota; Johanna Takkinen; Eva Møller Nielsen; Heather Carleton
Journal:  Euro Surveill       Date:  2017-06-08

3.  Trans-Regional and Cross-Host Spread of mcr-Carrying Plasmids Revealed by Complete Plasmid Sequences - 44 Countries, 1998-2020.

Authors:  Zhe Li; Zhenpeng Li; Yao Peng; Xin Lu; Biao Kan
Journal:  China CDC Wkly       Date:  2022-03-25

4.  Anaplasma bovis Infection in Fever and Thrombocytopenia Patients - Anhui Province, China, 2021.

Authors:  Miao Lu; Qingqing Chen; Xincheng Qin; Yong Lyu; Zhongqiu Teng; Kun Li; Liang Yu; Xiaojing Jin; Hongwei Chang; Wen Wang; Dayin Hong; Yong Sun; Biao Kan; Lei Gong; Tian Qin
Journal:  China CDC Wkly       Date:  2022-03-25

5.  Phylogenetic Analysis of Serogroup O5 Vibrio cholerae that Caused Successive Cholera Outbreaks - Guangdong Province, China, 2020-2021.

Authors:  Bixia Ke; Bo Pang; Dongmei He; Jing Xu; Qiuxia Chen; Junhua Liang; Jialiang Chen; Zhenpeng Li; Haijian Zhou; Xiaoling Deng; Biao Kan
Journal:  China CDC Wkly       Date:  2022-03-25

6.  Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories.

Authors:  Xin Lu; Yao Peng; Yuanyuan Geng; Hongqun Zhao; Xiaona Shen; Dongmei Li; Zhenpeng Li; Liang Lu; Mengguang Fan; Wenbin Xu; Jin Wang; Lianxu Xia; Zhongbing Zhang; Biao Kan
Journal:  China CDC Wkly       Date:  2022-03-25

7.  Chinese Pathogen Identification Net: A Laboratory Network for Surveillance and Response of Bacterial Infectious Diseases.

Authors:  Zhigang Cui; Haijian Zhou; Shuang Meng; Xiaoli Du; Jianguo Xu; Biao Kan
Journal:  China CDC Wkly       Date:  2022-03-25

8.  Extensively Drug-Resistant (XDR) Salmonella Typhi Outbreak by Waterborne Infection - Beijing Municipality, China, January-February 2022.

Authors:  Yu Wang; Dan Lu; Yingying Jin; Huanxin Wang; Bing Lyu; Xin Zhang; Ying Huang; Gaolin Shu; Baiwei Liu; Changying Lin; Hao Zhao; Mingqiang Zhao; Lingyu Shen; Zhiyong Gao; Daitao Zhang; Quanyi Wang; Mei Qu; Lei Jia
Journal:  China CDC Wkly       Date:  2022-03-25
  8 in total

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