1.Phylogenetic and pathogenicity analysis of influenza B virus strain B/Guangxi-Jiangzhou/1352/2018.
Qingxin MENG ; Pengtao JIAO ; Lei SUN ; Dayan WANG ; Tingrong LUO ; Wenhui FAN ; Wenjun LIU
Chinese Journal of Biotechnology 2022;38(9):3390-3405
Influenza B virus (IBV) is more likely to cause complications than influenza A virus (IAV) and even causes higher disease burden than IAV in a certain season, but IBV has received less attention. In order to analyze the genetic evolution characteristics of the clinical strain IBV (B/Guangxi-Jiangzhou/1352/2018), we constructed genetic evolution trees and analyzed the homology and different amino acids of hemagglutinin and neuraminidase referring to the vaccine strains recommended by World Health Organization (WHO). We found that strain B/Guangxi-Jiangzhou/1352/2018 was free of interlineage reassortment and poorly matched with the vaccine strain B/Colorado/06/2017 of the same year. We also determined the median lethal dose (LD50) and the pathogenicity of strain B/Guangxi-Jiangzhou/1352/2018 in mice. The results showed that the LD50 was 105.9 TCID50 (median tissue culture infective dose), the IBV titer in the lungs reached peak 1 d post infection and the mRNA level of the most of inflammatory cytokines in the lungs reached peak 12 h post infection. The alveoli in the lungs were severely damaged and a large number of inflammatory cells were infiltrated post infection. The study demonstrated that the clinical strain IBV (B/Guangxi-Jiangzhou/1352/2018) could infect mice and induce typical lung inflammation. This will facilitate the research on the pathogenesis and transmission mechanism of IBV, and provide an ideal animal model for evaluation of new vaccines, antiviral and anti-inflammatory drug.
Amino Acids/genetics*
;
Animals
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Antiviral Agents/pharmacology*
;
China
;
Cytokines/metabolism*
;
Hemagglutinins/metabolism*
;
Humans
;
Influenza B virus/pathogenicity*
;
Influenza, Human/virology*
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Mice
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Neuraminidase/genetics*
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Orthomyxoviridae Infections/virology*
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Phylogeny
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RNA, Messenger/metabolism*
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Virulence/genetics*
2.Coronavirus Disease 2019 Influenza A in Children: An Observational Control Study in China.
Yang ZHAO ; De Lin SUN ; Heather C BOUCHARD ; Xin Xin ZHANG ; Gang WAN ; Yi Wei HAO ; Shu Xin HE ; Yu Yong JIANG ; Lin PANG
Biomedical and Environmental Sciences 2020;33(8):614-619
This study aimed to understand the differences in clinical, epidemiological, and laboratory features between the new coronavirus disease 2019 (COVID-2019) and influenza A in children. Data of 23 hospitalized children with COVID-19 (9 boys, 5.7 ± 3.8 years old) were compared with age- and sex-matched 69 hospitalized and 69 outpatient children with influenza A from a hospital in China. The participants' epidemiological history, family cluster, clinical manifestations, and blood test results were assessed. Compared with either inpatients or outpatients with influenza A, children with COVID-19 showed significantly more frequent family infections and higher ratio of low fever (< 37.3 °C), but shorter cough and fever duration, lower body temperature, and lower rates of cough, fever, high fever (> 39 °C), nasal congestion, rhinorrhea, sore throat, vomiting, myalgia or arthralgia, and febrile seizures. They also showed higher counts of lymphocytes, T lymphocyte CD8, and platelets and levels of cholinesterase, aspartate aminotransferase, lactate dehydrogenase, and lactic acid, but lower serum amyloid, C-reactive protein, and fibrinogen levels and erythrocyte sedimentation rate, and shorter prothrombin time. The level of alanine aminotransferase in children with COVID-19 is lower than that in inpatients but higher than that in outpatients with influenza A. Pediatric COVID-19 is associated with more frequent family infection, milder symptoms, and milder immune responses relative to pediatric influenza A.
Betacoronavirus
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physiology
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Case-Control Studies
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Child
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Coronavirus Infections
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blood
;
epidemiology
;
immunology
;
virology
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Female
;
Humans
;
Influenza, Human
;
blood
;
epidemiology
;
immunology
;
Male
;
Pandemics
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Pneumonia, Viral
;
blood
;
epidemiology
;
immunology
;
virology
3.Interferon-induced Transmembrane Protein 3 Prevents Acute Influenza Pathogenesis in Mice.
Qiang SUN ; Na LEI ; Jian LU ; Rong Bao GAO ; Zi LI ; Li Qi LIU ; Ying SUN ; Jun Feng GUO ; Da Yan WANG ; Yue Long SHU
Biomedical and Environmental Sciences 2020;33(5):295-305
Objective:
Interferon-induced transmembrane protein 3 (IFITM3) is an important member of the IFITM family. However, the molecular mechanisms underlying its antiviral action have not been completely elucidated. Recent studies on IFITM3, particularly those focused on innate antiviral defense mechanisms, have shown that IFITM3 affects the body's adaptive immune response. The aim of this study was to determine the contribution of IFITM3 proteins to immune control of influenza infection .
Methods:
We performed proteomics, flow cytometry, and immunohistochemistry analysis and used bioinformatics tools to systematically compare and analyze the differences in natural killer (NK) cell numbers, their activation, and their immune function in the lungs of -/- and wild-type mice.
Results:
-/- mice developed more severe inflammation and apoptotic responses compared to wild-type mice. Moreover, the NK cell activation was higher in the lungs of -/- mice during acute influenza infection.
Conclusions
Based on our results, we speculate that the NK cells are more readily activated in the absence of IFITM3, increasing mortality in -/- mice.
Acute Disease
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Animals
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Disease Models, Animal
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Female
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Humans
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Influenza, Human
;
virology
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Male
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Membrane Proteins
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genetics
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metabolism
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Mice
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Mice, Inbred C57BL
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Orthomyxoviridae Infections
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veterinary
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virology
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Rodent Diseases
;
virology
4.Impact of Temperature on Influenza A Status during Global Warming Hiatus.
Biomedical and Environmental Sciences 2019;32(7):554-557
Adolescent
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Adult
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Aged
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Aged, 80 and over
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Animals
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Birds
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virology
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Child
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Child, Preschool
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Global Warming
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Humans
;
Infant
;
Influenza A virus
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Influenza, Human
;
epidemiology
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Middle Aged
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Orthomyxoviridae Infections
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epidemiology
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Temperature
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Young Adult
5.Clinical indices and mortality of hospitalized avian influenza A (H7N9) patients in Guangdong, China.
Yang YANG ; Xue LI ; Guthrie S BIRKHEAD ; Zhe ZHENG ; Jia-Hai LU
Chinese Medical Journal 2019;132(3):302-310
BACKGROUND:
Six epidemic waves of human infection with avian influenza A (H7N9) virus have emerged in China with high mortality. However, study on quantitative relationship between clinical indices in ill persons and H7N9 outcome (fatal and non-fatal) is still unclear. A retrospective cohort study was conducted to collect laboratory-confirmed cases with H7N9 viral infection from 2013 to 2015 in 23 hospitals across 13 cities in Guangdong Province, China.
METHODS:
Multivariable logistic regression model and classification tree model analyses were used to detect the threshold of selected clinical indices and risk factors for H7N9 death. The receiver operating characteristic curve (ROC) and analyses were used to compare survival and death distributions and differences between indices. A total of 143 cases with 90 survivors and 53 deaths were investigated.
RESULTS:
Average age (Odds Ratio (OR) = 1.036, 95% Confidence Interval (CI) = 1.016-1.057), interval days between dates of onset and confirmation (OR = 1.078, 95% CI = 1.004-1.157), interval days between onset and oseltamivir treatment (OR = 5.923, 95% CI = 1.877-18.687), body temperature (BT) (OR = 3.612, 95% CI = 1.914-6.815), white blood cell count (WBC) (OR = 1.212, 95% CI = 1.092-1.346) were significantly associated with H7N9 death after adjusting for confounders. The chance of death from H7N9 infection was 80.0% if BT was over 38.1 °C, and chance of death is 67.4% if WBC count was higher than 9.5 (10/L). Only 27.1% of patients who began oseltamivir treatment less than 9.5 days after disease onset died, compared to 68.8% of those who started treatment more than 15.5 days after onset.
CONCLUSIONS
The intervals between date of onset and confirmation of diagnosis, between date of onset to oseltamivir treatment, age, BT and WBC are found to be the best predictors of H7N9 mortality.
Adult
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Aged
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China
;
epidemiology
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Confidence Intervals
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Female
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Hospitalization
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statistics & numerical data
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Humans
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Influenza A Virus, H7N9 Subtype
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pathogenicity
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Influenza, Human
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epidemiology
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mortality
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virology
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Logistic Models
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Male
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Middle Aged
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ROC Curve
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Retrospective Studies
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Risk Factors
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Young Adult
6.Swine-spread severe influenza-associated pneumonia: A case report and literature review.
Ting LIU ; Yafeng JIANG ; Ruoyun OUYANG
Journal of Central South University(Medical Sciences) 2018;43(11):1266-1271
We report and analyze the clinical data of the first case of severe pneumonia caused by influenza B virus from swine. The patient, a 62 year-old male domestic pig breeder, was admitted to hospital because of fever and muscle pain for 5 days, and anhelation for 3 days. One week before the onset of disease, the patient kept close contact with pigs. CT scan of the chest showed diffuse infiltration in both lungs. Influenza B virus antigen detection (colloidal gold method) was repeatedly positive. These all confirmed influenza B virus infection. Poor appetite, weight loss, cough, poor spirit of pigs, positive influenza B virus antigen test occurred in the pig, while the patient had no history of exposure to influenza B-infected patients. It was likely that influenza B virus was transmitted from domestic pigs to the patient by droplets or close contact. Influenza B virus epidemics always occur every five or six years a time, and patients and carriers are the main source of infection. After searching the Pubmed, Web of science, Elsevier, Wanfang, and CNKI databases, it was found that although there were many studies on influenza B virus infecting seals, ferret, domestic pigs, guinea pigs, and other animals, there was no case report for animal-to-human infection. It is the first case report of type B influenza virus transmission from domestic pigs to people in the world, which provides a new direction for the research and prevention of influenza B virus.
Animals
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Humans
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Influenza B virus
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Influenza, Human
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complications
;
etiology
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virology
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Lung
;
virology
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Male
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Middle Aged
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Orthomyxoviridae Infections
;
transmission
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Pneumonia
;
etiology
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Swine
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Swine Diseases
;
transmission
;
virology
7.IFN-λ: A new spotlight in innate immunity against influenza virus infection.
Yeping SUN ; Jingwen JIANG ; Po TIEN ; Wenjun LIU ; Jing LI
Protein & Cell 2018;9(10):832-837
8.Avian influenza viruses (AIVs) H9N2 are in the course of reassorting into novel AIVs.
Hui-Ping CHANG ; Li PENG ; Liang CHEN ; Lu-Fang JIANG ; Zhi-Jie ZHANG ; Cheng-Long XIONG ; Gen-Ming ZHAO ; Yue CHEN ; Qing-Wu JIANG
Journal of Zhejiang University. Science. B 2018;19(5):409-414
In 2013, two episodes of influenza emerged in China and caused worldwide concern. A new H7N9 avian influenza virus (AIV) first appeared in China on February 19, 2013. By August 31, 2013, the virus had spread to ten provinces and two metropolitan cities. Of 134 patients with H7N9 influenza, 45 died. From then on, epidemics emerged sporadically in China and resulted in several victims. On November 30, 2013, a 73-year-old woman presented with an influenza-like illness. She developed multiple organ failure and died 9 d after the onset of disease. A novel reassortant AIV, H10N8, was isolated from a tracheal aspirate specimen that was obtained from the patient 7 d after onset. This case was the first human case of influenza A subtype H10N8. On 4 February, 2014, another death due to H10N8 avian influenza was reported in Jiangxi Province, China.
Aged
;
China
;
epidemiology
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Female
;
Humans
;
Influenza A Virus, H10N8 Subtype
;
classification
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Influenza A Virus, H7N9 Subtype
;
classification
;
Influenza A Virus, H9N2 Subtype
;
classification
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Influenza, Human
;
epidemiology
;
virology
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Phylogeny
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Reassortant Viruses
;
classification
9.Epidemiology of human infection with avian influenza A(H7N9) virus in China, 2013-2017.
Di Di HAN ; Chun Xia HAN ; Lu Yu LI ; Ming WANG ; Jing Huan YANG ; Man LI
Chinese Journal of Epidemiology 2018;39(1):44-46
Objective: To understand the epidemiological characteristics of human infection with avian influenza A (H7N9) virus in China, and provide evidence for the prevention and control of human infection with H7N9 virus. Methods: The published incidence data of human infection with H7N9 virus in China from March 2013 to April 2017 were collected. Excel 2007 software was used to perform the analysis. The characteristics of distribution of the disease, exposure history, cluster of the disease were described. Results: By the end of April 2017, a total of 1 416 cases of human infection with H7N9 virus were confirmed in China, including 559 deaths, the case fatality rate was 39.5%. In 2016, the case number was lowest (127 cases), with the highest fatality rate (57.5%). The first three provinces with high case numbers were Zhejiang, Guangdong and Jiangsu. The median age of the cases was 55 years and the male to female ratio was 2.3∶1. Up to 66% of cases had clear live poultry exposure history before illness onset, 31% of cases had unknown exposure history and only 3% of the cases had no live poultry exposure history. There were 35 household clusters (5 in 2013, 9 in 2014, 6 in 2015, 5 in 2016, 10 in 2017), which involved 72 cases, accounting for 5% of the total cases. Conclusions: The epidemic of human infection with H7N9 virus in China during 2013-2017 had obvious seasonality and spatial distribution. There was limited family clustering. Infection cases were mostly related to poultry contact.
Adult
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Age Distribution
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Aged
;
Aged, 80 and over
;
Animals
;
China/epidemiology*
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Cluster Analysis
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Disease Outbreaks
;
Epidemics
;
Female
;
Humans
;
Incidence
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Influenza A Virus, H7N9 Subtype/isolation & purification*
;
Influenza, Human/virology*
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Male
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Middle Aged
;
Poultry
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Sex Distribution
10.Willingness and influencing factors related to "centralized slaughtering, fresh poultry listing and marketing" strategy among the household chefs in Guangzhou.
W H LIU ; Y MA ; J Y LU ; H C YAN ; J H ZHOU ; X L LIAO ; J H ZENG ; W Q LIN ; D WU ; Z B ZHANG ; Z C YANG ; Z Q CHEN ; J D CHEN ; T G LI
Chinese Journal of Epidemiology 2018;39(2):204-207
Objective: To study the willingness and influence factors related to "centralized slaughtering, fresh poultry listing and marketing" strategy, among the household chefs, and provide reference for government to adjust and optimize the strategy on avian influenza prevention. Methods: According to the geographical characteristics and regional functions, 6 'monitoring stations' were selected from 12 residential districts of Guangzhou, respectively. Another 21 meat markets which selling live poultry, were selected in each station and 5 household chefs of each market were invited to attend a face to face interview. Basic information, personal cognitive, willingness and influencing factors to the policy were under study. Univariate and multivariate logistic regression methods were used. Results: A total of 664 household chefs underwent the survey and results showed that the rate of support to the "centralized slaughtering, fresh poultry listing and marketing" strategy was 44.6% (296/664). Results from the multi-factor logistic regression showed that those household chefs who were males (OR=1.618, 95% CI: 1.156-2.264, P=0.005), having received higher education (OR=1.814, 95% CI: 1.296-2.539, P=0.001), or believing that the existence of live poultry stalls was related to the transmission of avian influenza (OR=1.918, 95% CI: 1.341-2.743, P<0.001) were factors at higher risk. These household chefs also intended to avoid the use of live poultry stalls (OR=1.666, 95%CI: 1.203-2.309, P=0.002) and accept the "centralized slaughtering, fresh poultry listing and marketing" strategy. Conclusion: Detailed study on this subject and, setting up pilot project in some areas as well as prioritizing the education programs for household chefs seemed helpful to the implementation of the 'freezing-fresh poultry' policy.
Animals
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Attitude to Health
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China
;
Humans
;
Influenza A Virus, H7N9 Subtype
;
Influenza in Birds
;
Influenza, Human/prevention & control*
;
Male
;
Marketing
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Meat-Packing Industry
;
Multivariate Analysis
;
Pilot Projects
;
Poultry/virology*
;
Surveys and Questionnaires

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