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Comparative Study on the Immunogenicity and Efficacy of Different Post-exposure Intramuscular Rabies Vaccination Regimens in China

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Biomedical and Environmental Sciences 2024年第2期37卷 178-186页

作者： SONG Yun HE Ying LU Xue Xin ZHANG Xiao Mei JIANG XIAO Lin SONG Qing HUANG Xue Yong MA Hong Xia YU Peng Cheng ZHU Wu Yang Henan Provincial Center for Disease control and prevention Infectious Disease Prevention and Control InstituteHenan Provincial Key Laboratory of Infectious Disease PathogensZhengzhou 450000HenanChina National institute for Viral Disease control and prevention China CDCKey Laboratory of BiosafetyNational Health CommissionBeijing 102206China Shandong Provincial Center for Disease control and prevention Jinan 250014ShandongChina Qingdao Chengyang District Center for Disease control and prevention Qingdao 266108ShandongChina

Objective This study aimed to compare the current Essen rabies post-exposure immunization schedule(0-3-7-14-28)in China and the simple 4-dose schedule(0-3-7-14)newly recommended by the World Health Organization in terms of their safety,efficacy,and *** Mice were vaccinated according to different immunization schedules,and blood was collected for detection of rabies virus neutralizing antibodies(RVNAs)on days 14,21,28,35,and 120after the first ***,different groups of mice were injected with lethal doses of the CVS-11 virus on day 0,subjected to different rabies immunization schedules,and assessed for morbidity and death *** a clinical trial,185 rabies-exposed individuals were selected for post-exposure vaccination according to the Essen schedule,and blood was collected for RVNAs detection on days 28and 42 after the first *** A statistically significant difference in RVNAs between mice in the Essen and 0-3-7-14 schedule groups was observed on the 35th day(P0.05)in RVNAs levels at any time *** post-exposure immune protective test showed that the survival rate of mice in the control group was 20%,whereas that in the immunization groups was 40%.In the clinical trial,the RVNAs positive conversion rates on days 28(14 days after 4 doses)and 42(14 days after 5 doses)were both 100%,and no significant difference in RVNAs levels was observed(P>0.05).Conclusion The simple 4-dose schedule can produce sufficient RVNAs levels,with no significant effect of a delayed fourth vaccine dose(14–28 d)on the immunization potential.

关键词： Rabies Post-exposure immunization Essen regimen RVNAs

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Knowledge,Attitude,and Practice Towards Mpox and Associated Factors Among HIV-Infected Individuals—Beijing Municipality,China,2023

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China CDC weekly 2024年第7期6卷 109-117,I0001,I0002页

作者： Yue Gu Ruiqi Ren Jing Han Wenqing Bai Yuanyuan Zhang Haoliang Liu Zhaohe Li Chao Li Rui Song Lei Zhou Chinese Center for Disease control and prevention BeijingChina National Center for infectious diseases Beijing Ditan HospitalCapital Medical UniversityBeijingChina Beijing Key Laboratory of Emerging infectious diseases Institute of Infectious DiseasesBeijing Ditan HospitalCapital Medical UniversityBeijingChina Nanjing Medical University Nanjing CityJiangsu ProvinceChina

Summary What is already known about this topic?Approximately 50%of patients with mpox are human immunodeficiency virus(HIV)-infected *** have shown that individuals with advanced HIV infection tend to have more severe... 详细信息

关键词： mortality Infect clinical

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Geographically and Temporally Weighted Regression in Assessing Dengue Fever Spread Factors in Yunnan Border Regions

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Biomedical and Environmental Sciences 2024年第5期37卷 511-520页

作者： ZHU Xiao Xiang WANG Song Wang LI Yan Fei ZHANG Ye Wu SU Xue Mei ZHAO Xiao Tao National Key Laboratory of Intelligent Tracking and Forecasting for infectious diseases Chinese Center for Disease Control and PreventionBeijing 102211China Yunnan institute of Parasitic diseases Pu’er 665000YunnanChina

Objective This study employs the Geographically and Temporally Weighted Regression(GTWR)model to assess the impact of meteorological elements and imported cases on dengue fever outbreaks,emphasizing the spatial-temporal variability of these factors in border *** We conducted a descriptive analysis of dengue fever’s temporal-spatial distribution in Yunnan border *** annual data from 2013 to 2019,with each county in the Yunnan border serving as a spatial unit,we constructed a GTWR model to investigate the determinants of dengue fever and their spatio-temporal heterogeneity in this *** The GTWR model,proving more effective than Ordinary Least Squares(OLS)analysis,identified significant spatial and temporal heterogeneity in factors influencing dengue fever’s spread along the Yunnan ***,the GTWR model revealed a substantial variation in the relationship between indigenous dengue fever incidence,meteorological variables,and imported cases across different *** In the Yunnan border areas,local dengue incidence is affected by temperature,humidity,precipitation,wind speed,and imported cases,with these factors’influence exhibiting notable spatial and temporal variation.

关键词： Dengue fever Meteorological factor Geographically and temporally weighted regression

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Development of a High-throughput Sequencing Platform for Detection of Viral Encephalitis Pathogens Based on Amplicon Sequencing

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Biomedical and Environmental Sciences 2024年第3期37卷 294-302页

作者： ZHANG Ya Li SU Wen Zhe WANG Rui Chen LI Yan ZHANG Jun Feng LIU Sheng Hui HU Dan He XU Chong Xiao YIN Jia Yu YIN Qi Kai HE Ying LI Fan FU Shi Hong NIE Kai LIANG Guo Dong TAO Yong XU Song Tao MA Chao Feng WANG Huan Yu Shaanxi University of Chinese Medicine Xianyang 712000ShaanxiChina National Key Laboratory of Intelligent Tracking and Forecasting for infectious diseases National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China Guangzhou Center for Disease control and prevention Guangzhou 510000GuangdongChina Shandong Center for Disease control and prevention Jinan 250000ShandongChina Department of Ophthalmology Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100020China Xi'an Center for Disease control and prevention Xi’an 710054ShaanxiChina

Objective Viral encephalitis is an infectious disease severely affecting human *** is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other *** laboratory diagnosis of viral encephalitis is a worldwide ***,high-throughput sequencing technology has provided new tools for diagnosing central nervous system ***,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon *** We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant *** detection ability of the primers was verified by software simulation and the detection of known positive *** sequencing was used to validate the samples,and consistency was compared with Sanger *** The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted *** sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger *** Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral *** is also a useful tool for the high-volume screening of clinical samples.

关键词： Viral encephalitis Amplicon sequencing High-throughput sequencing Multipathogen detection

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Serological Investigation into the Infected Genotypes of Patients with Japanese Encephalitis in the Coastal Provinces of China*

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Biomedical and Environmental Sciences 2024年第7期37卷 716-725页

作者： Zhang W. Zhao J. Yin Q. Liu S. Wang R. Fu S. Li F. He Y. Nie K. Liang G. Xu S. Yang G. Wang H. National Key Laboratory of Intelligent Tracking and Forecasting for infectious diseases National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing 102206 China School of Basic Medicine and Public Health Jinan University Guangdong Guangzhou 510000 China

Objective: Genotypes (G) 1, 3, and 5 of the Japanese encephalitis virus (JEV) have been isolated in China, but the dominant genotype circulating in Chinese coastal areas remains unknown. We searched for G5 JEV-infected cases and attempted to elucidate which JEV genotype was most closely related to human Japanese encephalitis (JE) in the coastal provinces of China. Methods: In this study, we collected serum specimens from patients with JE in three coastal provinces of China (Guangdong, Zhejiang, and Shandong) from 2018 to 2020 and conducted JEV cross-neutralization tests against G1, G3, and G5. Results: acute serum specimens from clinically reported JE cases were obtained for laboratory confirmation from hospitals in Shandong (92 patients), Zhejiang (192 patients), and Guangdong (77 patients), China, from 2018 to 2020. Seventy of the 361 serum specimens were laboratory-confirmed to be infected with JEV. Two cases were confirmed to be infected with G1 JEV, 32 with G3 JEV, and two with G5 JEV. Conclusion: G3 was the primary infection genotype among JE cases with a definite infection genotype, and the infection caused by G5 JEV was confirmed serologically in China. © 2024 The Editorial Board of Biomedical and Environmental Sciences

关键词： Cross-neutralization test Genotype Japanese encephalitis virus Plaque reduction neutralization test Serological investigation

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Characterization of whole genomes from recently emerging Mpox cases in several regions of China,2023

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Science China(Life Sciences) 2024年第5期67卷 1079-1081页

作者： Changcheng Wu Lunbiao Cui Yang Pan Ziquan Lv Mingxiao Yao Wenling Wang Fei Ye Weibang Huo Li Zhao Baoying Huang Fengcai Zhu Roujian Lu Yao Deng Quanyi Wang Wenjie Tan NHC Key Laboratory of Biosafety National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China NHC Key Laboratory of Enteric Pathogenic Microbiology Jiangsu Provincial Medical Key Laboratory of Pathogenic Microbiology in Emerging Major Infectious DiseasesJiangsu Provincial Center for Disease Control and PreventionNanjing 210009China Beijing Center for Disease prevention and control Beijing 100013China Central Laboratory Shenzhen Center for Disease Control and PreventionShenzhen 518055China Shandong Center for Disease control and prevention Jinan 250014China

Dear Editor,Mpox(formerly known as monkeypox)is a zoonotic disease caused by infection with the monkeypox virus(MPXV).Mpox cases have been sporadic over the past few decades,with outbreaks occurring in only a limited ... 详细信息

关键词： cases primarily imported

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Epidemiological Characteristics of Human Parainfluenza Viruses Infections-China,2019-2023

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China CDC weekly 2024年第12期6卷 235-241,I0003,I0004页

作者： Yixuan Gao Yingwei Ma Daxing Feng Feng Zhang Biao Wang Xiaoqing Liu Bing Zhu Hui Xie Linqing Zhao Xiaoru Long Ying Chen Bing Wang Jie Jiang Zhen Zhu Yan Zhang Aili Cui Baicheng Xia Naiying Mao National Key Laboratory of Intelligent Tracking and Forecasting for infectious diseases National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina Precision Medicine Research Center Children’s Hospital of ChangchunChangchun CityJilin ProvinceChina Henan Provincial Center for Disease control and prevention Zhengzhou CityHenan ProvinceChina Laboratory of Viral diseases Qingdao Municipal Centre for Disease Control and PreventionQingdao CityShandong ProvinceChina Virus Laboratory Gansu Provincial Center for Disease Control and PreventionLanzhou CityGansu ProvinceChina Jiangxi Provincial Center for Disease control and prevention Nanchang CityGansu ProvinceChina Virus Laboratory Guangzhou Women and Children’s Medical CenterGuangzhou Medical UniversityGuangzhou CityGuangdong ProvinceChina institute for Immunization and prevention Beijing Center for Disease Prevention and ControlAcademy for Preventive MedicineInstitute of Tuberculosis Control Research and PreventionBeijingChina Laboratory of Virology Beijing Key Laboratory of Etiology of Viral Diseases in ChildrenCapital Institute of PediatricsBeijingChina Department of Infection Children’s Hospital of Chongqing Medical UniversityChongqingChina Inner Mongolia Autonomous Region Comprehensive Center for Disease control and prevention Hohhot CityInner Mongolia Autonomous RegionChina Shenyang Prefecture Center for Disease control and prevention Shenyang CityLiaoning ProvinceChina

Introduction:A retrospective study based on sentinel surveillance was conducted in 10 provinciallevel administrative divisions(PLADs)in China to enhance the understanding of the epidemiological characteristics of human parainfluenza viruses(HPIVs).Methods:From January 2019 to June 2023,respiratory specimens were collected from individuals with acute respiratory infections(ARIs)and screened for four HPIVs serotypes and other common respiratory viruses using multiplex real-time polymerase chain reaction(PCR).This study analyzed the association of HPIVs infections with seasonal patterns,geographical distribution,demographic profiles,clinical features,and co-infection ***:During the study period,a total of 12,866 ARIs were *** overall detection rate of HPIVs was 6.15%,varying from 5.04%in 2022 to 9.70%in *** median age of HPIVs-infected patients was 3 ***2 was more prevalent among individuals aged 5–17 years(42.57%),while HPIV4 was more common in those over 65 years(12.24%).HPIV3(54.16%)and HPIV1(27.18%)were the predominant serotypes,and their prevalence exhibited significant seasonal fluctuations postcoronavirus disease 2019(COVID-19)*** peak of HPIV3 shifted three months later in 2020 compared to 2019 and returned to a summer peak *** peaks of HPIV1 were observed in 2021 following the peak of ***,coinfections were frequent in HPIVs cases(overall rate:22.12%),with human rhinovirus being the most common co-infecting ***:The prevalence of HPIVs in China was predominantly due to HPIV3 and HPIV1,and their seasonal patterns were altered by pandemic ***,continuous surveillance of HPIVs is essential.

关键词： prevalence seasonal Human

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Species-level Microbiota of Biting Midges and Ticks from Poyang Lake

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Biomedical and Environmental Sciences 2024年第3期37卷 266-277,I0001-I0003页

作者： GONG Jian WANG Fei Fei LIU Yang Qing PU Ji DONG Ling Zhi ZHANG Si Hui HUANG Zhen Zhou HUANG Yu Yuan LI Ya Ben YANG Cai Xin TAO Yuan Meihui ZHAO Li Jun JIN Dong LIU Li Yun YANG Jing LU Shan Department of Epidemiology School of Public HealthShanxi Medical UniversityTaiyuan 030001ShanxiChina National Key Laboratory of Intelligent Tracking and Forecasting for infectious diseases National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne diseases Nanchang Center for Disease Control and PreventionNanchang 330038JiangxiChina Research Units of Discovery of Unknown Bacteria and Function Chinese Academy of Medical SciencesBeijing 100730China

Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area,namely,Qunlu Practice Base,Peach Blossom Garden,and Huangtong Animal Husbandry,and whether vectors carry any bacterial pathogens that may cause diseases to humans,to provide scientific basis for prospective pathogen discovery and disease prevention and *** Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit(OPU)analysis,we characterized the species-level microbial community structure of two important vector species,biting midges and ticks,including 33 arthropod samples comprising 3,885 individuals,collected around Poyang *** A total of 662 OPUs were classified in biting midges,including 195 known species and 373 potentially new species,and 618 OPUs were classified in ticks,including 217 known species and 326 potentially new ***,OPUs with potentially pathogenicity were detected in both arthropod vectors,with 66 known species of biting midges reported to carry potential pathogens,including Asaia lannensis and Rickettsia bellii,compared to 50 in ticks,such as Acinetobacter lwoffii and Staphylococcus *** found that Proteobacteria was the most dominant group in both midges and ***,the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant *** sp7 was predominant in biting midges,while Coxiella sp1 was enriched in ***,Coxiella spp.,which may be essential for the survival of Haemaphysalis longicornis Neumann,were detected in all tick *** identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod *** Biting midges and ticks carry large numbers of known and potentially novel bacteria,and carry a wide

关键词： Biting midge Tick Microbiota Pantoea Coxiella

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Epidemiological characteristics of tuberculosis incidence and its macro-influence factors in Chinese mainland during 2014–2021

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贫困所致传染病(英文) 2024年第3期13卷 43-57页

作者： Deng Le-le Zhao Fei Li Zhuo-wei Zhang Wei-wei He Guang-xue Ren Xiang National institute for Viral Disease control and prevention Chinese Center for Disease Control and Prevention Beijing China Department of Pharmacy Beijing Hospital National Center of Gerontology institute of Geriatric Medicine Chinese Academy of Medical Science Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation Beijing China Miyun District Center for Disease control and prevention Beijing China School Of Public Health Binzhon Medical University Yantai China Division of infectious Disease Key Laboratory of Surveillance and Early-Warning On Infectious Disease Chinese Center for Disease Control and Prevention Beijing China

Background Tuberculosis (TB) remains a pressing public health issue, posing a significant threat to individuals'' well-being and lives. This study delves into the TB incidence in Chinese mainland during 2014–2021, aiming to gain deeper insights into their epidemiological characteristics and explore macro-level factors to enhance control and *** TB incidence data in Chinese mainland from 2014 to 2021 were sourced from the National Notifiable Disease Reporting System (NNDRS). A two-stage distributed lag nonlinear model (DLNM) was constructed to evaluate the lag and non-linearity of daily average temperature (℃, Atemp), average relative humidity (%, ARH), average wind speed (m/s, AWS), sunshine duration (h, SD) and precipitation (mm, PRE) on the TB incidence. A spatial panel data model was used to assess the impact of demographic, medical and health resource, and economic factors on TB *** A total of 6,587,439 TB cases were reported in Chinese mainland during 2014–2021, with an average annual incidence rate of 59.17/100,000. The TB incidence decreased from 67.05/100,000 in 2014 to 46.40/100,000 in 2021, notably declining from 2018 to 2021 (APC =-8.87%, 95%CI: -11.97, -6.85%). TB incidence rates were higher among males, farmers, and individuals aged 65 years and older. Spatiotemporal analysis revealed a significant cluster in Xinjiang, Qinghai, and Xizang from March 2017 to June 2019 (RR= 3.94,P 71.73%), low sunshine duration (< 6.18 h) increased the risk of TB incidence, while extreme low wind speed (< 2.79 m/s) decreased the risk. The spatial Durbin model showed positive associations between TB incidence rates and se

关键词： Tuberculosis Surveillance Epidemiological characteristics Incidence Influence factor Distributed lag nonlinear model (DLNM) Spatial panel model China

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Establishment of a Multiplex Detection Method for Common Bacteria in Blood Based on Human Mannan-Binding Lectin Protein-Conjugated Magnetic Bead Enrichment Combined with Recombinase-Aided PCR Technology

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Biomedical and Environmental Sciences 2024年第4期37卷 387-398页

作者： ZHAO Zi Jin CHEN Xiao Ping HUA Shao Wei LI Feng Yu ZHAO Meng XING Chen Hao WANG Jie TIAN Feng Yu ZHANG Rui Qing LYU Xiao Na HAN Zhi Qiang WANG Yu Xin LI Hong Yi SHEN Xin Xin MA Xue Jun TIE Yan Qing Graduate School Hebei North UniversityZhangjiakou 075000HebeiChina Department of Clinical Laboratory Hebei General HospitalShijiazhuang 050051HebeiChina National Key Laboratory of Intelligent Tracking and Forecasting for infectious diseases NHC Key Laboratory of Medical Virology and Viral DiseasesNational Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China National institute for Communicable Disease control and prevention Chinese Center for Disease Control and PreventionBeijing 102206China Department of Clinical Laboratory Pathology Diagnostic Center Shiyan General HospitalShiyan 442000HubeiChina Graduate School Hebei Medical University Shijiazhuang 050031HebeiChina

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification *** study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannanbinding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with *** Recombinant plasmids were used to evaluate the assay *** blood influenza bacteria were used for the specific *** and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)*** analysis was used to evaluate the consistency between the two *** The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial *** M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05).Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

关键词： Staphylococcus aureus Pseudomonas aeruginosa Acinetobacter baumannii Human Mannan-binding lectin protein Bloodstream infection Recombinase-aided PCR assay Multiple detection

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