1
|
Teng X, Zhang J, Shi Y, Liu Y, Yang Y, He J, Luo S, Huang Y, Liu Y, Liu D, Li Y, Zhang S, Huang RP, Wang D, Xu J. Comprehensive Profiling of Inflammatory Factors Revealed That Growth Differentiation Factor-15 Is an Indicator of Disease Severity in COVID-19 Patients. Front Immunol 2021; 12:662465. [PMID: 34335566 PMCID: PMC8320433 DOI: 10.3389/fimmu.2021.662465] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/24/2021] [Indexed: 12/18/2022] Open
Abstract
To systematically explore potential biomarkers which can predict disease severity in COVID-19 patients and prevent the occurrence or development of severe COVID-19, the levels of 440 factors were analyzed in patients categorized according to COVID-19 disease severity; including asymptomatic, mild, moderate, severe, convalescent and healthy control groups. Factor candidates were validated by ELISA and functional relevance was uncovered by bioinformatics analysis. To identify potential biomarkers of occurrence or development of COVID-19, patient sera from three different severity groups (moderate, severe, and critical) at three time points (admission, remission, and discharge) and the expression levels of candidate biomarkers were measured. Eleven differential factors associated with disease severity were pinpointed from 440 factors across 111 patients of differing disease severity. The dynamic changes of GDF15 reflect the progression of the disease, while the other differential factors include TRAIL R1, IGFBP-1, IGFBP-4, VCAM-1, sFRP-3, FABP2, Transferrin, GDF15, IL-1F7, IL-5Rα, and CD200. Elevation of white blood cell count, neutrophil count, neutrophil-lymphocyte ratio (NLR), Alanine aminotransferase and Aspartate aminotransferase, low lymphocyte and eosinophil counts in the severe group were associated with the severity of COVID-19. GDF15 levels were observed to be associated with the severity of COVID-19 and the dynamic change of GDF15 levels was closely associated with the COVID-19 disease progression. Therefore, GDF15 might serve as an indicator of disease severity in COVID-19 patients.
Collapse
Affiliation(s)
- Xiangyun Teng
- Department of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Jiaqi Zhang
- Department of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
- Department of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yaling Shi
- Department of Laboratory Medicine, Guangzhou Eighth People’s Hospital, Guangzhou, China
| | - Yuntao Liu
- Emergency Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yanqing Yang
- Research and Development Department, RayBiotech, Inc., Guangzhou, China
| | - Jinyong He
- Department of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Shuhong Luo
- Research and Development Department, RayBiotech, Inc., Guangzhou, China
| | - Yile Huang
- Department of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Yanxia Liu
- Department of Laboratory Medicine, Guangzhou Eighth People’s Hospital, Guangzhou, China
| | - Dongdong Liu
- Department of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yizhe Li
- Department of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Shuangzhe Zhang
- Research and Development Department, RayBiotech, Inc., Guangzhou, China
| | - Ruo-Pan Huang
- Research and Development Department, RayBiotech, Inc., Guangzhou, China
- Raybiotech Center, RayBiotech, Inc., Norcross, GA, United States
| | - Dawei Wang
- Department of Pulmonary and Critical Care Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Jianhua Xu
- Department of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| |
Collapse
|
2
|
Dulek DE, Fuhlbrigge RC, Tribble AC, Connelly JA, Loi MM, El Chebib H, Chandrakasan S, Otto WR, Diorio C, Keim G, Walkovich K, Jaggi P, Girotto JE, Yarbrough A, Behrens EM, Cron RQ, Bassiri H. Multidisciplinary Guidance Regarding the Use of Immunomodulatory Therapies for Acute Coronavirus Disease 2019 in Pediatric Patients. J Pediatric Infect Dis Soc 2020; 9:716-737. [PMID: 32808988 PMCID: PMC7454742 DOI: 10.1093/jpids/piaa098] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 08/10/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Immune-mediated lung injury and systemic hyperinflammation are characteristic of severe and critical coronavirus disease 2019 (COVID-19) in adults. Although the majority of severe acute respiratory syndrome coronavirus 2 infections in pediatric populations result in minimal or mild COVID-19 in the acute phase of infection, a small subset of children develop severe and even critical disease in this phase with concomitant inflammation that may benefit from immunomodulation. Therefore, guidance is needed regarding immunomodulatory therapies in the setting of acute pediatric COVID-19. This document does not provide guidance regarding the recently emergent multisystem inflammatory syndrome in children (MIS-C). METHODS A multidisciplinary panel of pediatric subspecialty physicians and pharmacists with expertise in infectious diseases, rheumatology, hematology/oncology, and critical care medicine was convened. Guidance statements were developed based on best available evidence and expert opinion. RESULTS The panel devised a framework for considering the use of immunomodulatory therapy based on an assessment of clinical disease severity and degree of multiorgan involvement combined with evidence of hyperinflammation. Additionally, the known rationale for consideration of each immunomodulatory approach and the associated risks and benefits was summarized. CONCLUSIONS Immunomodulatory therapy is not recommended for the majority of pediatric patients, who typically develop mild or moderate COVID-19. For children with severe or critical illness, the use of immunomodulatory agents may be beneficial. The risks and benefits of such therapies are variable and should be evaluated on a case-by-case basis with input from appropriate specialty services. When available, the panel strongly favors immunomodulatory agent use within the context of clinical trials. The framework presented herein offers an approach to decision-making regarding immunomodulatory therapy for severe or critical pediatric COVID-19 and is informed by currently available data, while awaiting results of placebo-controlled randomized clinical trials.
Collapse
Affiliation(s)
- Daniel E Dulek
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Robert C Fuhlbrigge
- Section of Rheumatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Alison C Tribble
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - James A Connelly
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michele M Loi
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine, Denver, Colorado, USA
| | - Hassan El Chebib
- Division of Infectious Diseases and Immunology, Department of Pediatrics, Connecticut Children's, Hartford, Connecticut, USA
| | - Shanmuganathan Chandrakasan
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - William R Otto
- Division of Infectious Diseases, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Caroline Diorio
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Garrett Keim
- Division of Critical Care Medicine, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kelly Walkovich
- Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Preeti Jaggi
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jennifer E Girotto
- Division of Infectious Diseases and Immunology, Department of Pediatrics, Connecticut Children's, Hartford, Connecticut, USA.,University of Connecticut School of Pharmacy, Storrs, Connecticut, USA
| | - April Yarbrough
- Department of Pharmacy, Children's of Alabama, Birmingham, Alabama, USA
| | - Edward M Behrens
- Division of Pediatric Rheumatology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Randy Q Cron
- Division of Pediatric Rheumatology, Department of Pediatrics, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
| | - Hamid Bassiri
- Division of Infectious Diseases, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| |
Collapse
|
3
|
Characterization of antibody and memory T-cell response in H7N9 survivors: a cross-sectional analysis. Clin Microbiol Infect 2019; 26:247-254. [PMID: 31229595 DOI: 10.1016/j.cmi.2019.06.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 05/23/2019] [Accepted: 06/13/2019] [Indexed: 12/29/2022]
Abstract
OBJECTIVES Despite the importance of immunological memory for protective immunity against viral infection, whether H7N9-specific antibodies and memory T-cell responses remain detectable years after the original infection is unknown. METHODS A cross-sectional study was conducted to investigate the immune memory responses of H7N9 patients who contracted the disease and survived during the 2013-2016 epidemics in China. Sustainability of antibodies and T-cell memory to H7N9 virus were examined. Healthy individuals receiving routine medical examinations in a physical examination centre were recruited as control. RESULTS A total of 75 survivors were enrolled and classified into four groups based on the time elapsed from illness onset to specimen collection: 3 months (n = 14), 14 months (n = 14), 26 months (n = 28) and 36 months (n = 19). Approximately 36 months after infection, the geometric mean titres of virus-specific antibodies were significantly lower than titres in patients 3 months after infection, but 16 of 19 (84.2%) survivors in the 36-month interval had microneutralization (MN) titres ≥40. Despite the overall declining trend, the percentages of virus-specific cytokine-secreting memory CD4+ and CD8+ T cells remained higher in survivors at nearly all time-points in comparison with control individuals. Linear regression analysis showed that severe disease (mean titre ratio 2.77, 95% CI 1.17-6.49) was associated with higher haemagglutination inhibition (HI) titre and female sex for both HI (1.92, 1.02-3.57) and MN (3.33, 1.26-9.09) antibody, whereas female sex (mean percentage ratio 1.69, 95% CI 1.08-2.63), underlying medical conditions (1.94, 95% CI 1.09-3.46) and lack of antiviral therapy (2.08, 95% CI 1.04-4.17) were predictors for higher T-cell responses. CONCLUSIONS Survivors of H7N9 virus infection produced long-term antibodies and memory T-cell responses. Our findings warrant further serological investigation in general and high-risk populations and have important implications for vaccine design and development.
Collapse
|
4
|
Decreased Frequencies of Th17 and Tc17 Cells in Patients Infected with Avian Influenza A (H7N9) Virus. J Immunol Res 2019; 2019:1418251. [PMID: 31061831 PMCID: PMC6466882 DOI: 10.1155/2019/1418251] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 02/06/2019] [Accepted: 02/19/2019] [Indexed: 01/24/2023] Open
Abstract
The outbreak of avian influenza A (H7N9) virus infection, with a high mortality rate, has caused concern worldwide. Although interleukin-17- (IL-17-) secreting CD4+ T (Th17) and CD8+ T (Tc17) cells have been proven to play crucial roles in influenza virus infection, the changes and roles of Th17 and Tc17 cells in immune responses to H7N9 infection remain controversial. In this study, we found that the frequencies of Th17 and Tc17 cells among human peripheral blood mononuclear cells (PBMCs) as well as IL-17A protein and mRNA levels were markedly decreased in patients with acute H7N9 virus infection. A positive correlation was found between the serum IL-17A level and the frequency of these two cell groups. In vitro infection experiments revealed decreased Th17 and Tc17 cell frequency and IL-17A levels at various time points postinfection. In addition, Th17 cells were the predominant sources of IL-17A in PBMCs of patients infected with H7N9 virus. Taken together, our results indicate immune disorder in acute H7N9 infection and a restored Th17 and Tc17 cell frequency might serve as a biomarker for predicting recovery in patients infected with this virus.
Collapse
|
5
|
Zheng Y, Lou X, Yang P, Shi W, Chu Y, Yan M, Jiang C, Wu D, Pan Y, Zhao J, Li Y, Dong Y, Chen L, Liu S, Wang Q. Proteomic Analysis of Avian Influenza A (H7N9) Patients within a Family Cluster. J Glob Infect Dis 2018; 10:58-66. [PMID: 29910565 PMCID: PMC5987373 DOI: 10.4103/jgid.jgid_159_16] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Background: To date, there is limited information on the progression of human infections of avian influenza virus A (H7N9). This study investigated differential blood protein profiling of a H7N9-infected family cluster to find a slice of crucial proteins concerning disease attack and virus clearance. Materials and Methods: Plasma samples from one family cluster (including one index case and one asymptomatic case) were collected at four time points. The protein profiles were identified by isobaric tagging for relative and absolute quantification-based quantitative differential LC/MS/MS, and their functional annotations were analyzed by PANTHER and STRING tools. Results: A total of 1257 nonredundant proteins were identified from 3027 unique peptides. Three differential protein profiles for each subject were generated by comparing relative protein abundance between samples of each of the first three time points and the last time point. Gene ontology analysis indicated that differential protein profiles for the two cases were mainly enriched in the biological processes of response to stimulus, immunity, blood coagulation, lipid transport, and cell adhesion. Two groups of proteins with an upward or downward expression change according to the postinfection time points were detected for each case. STRING analysis further indicated that the hubs in the network of these time-dependent proteins were mostly apolipoproteins. Conclusions: Significant perturbation of the response upon viral infection occurred immediately after confirmation of H7N9 virus infection. The differential protein profiles shed further light on distinguishing the index case from the asymptomatic one. Furthermore, apolipoproteins may play an important role in the progression of the disease.
Collapse
Affiliation(s)
- Yang Zheng
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.,Research Center for Preventive Medicine of Beijing, Beijing, China
| | - Xiaomin Lou
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Peng Yang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.,Research Center for Preventive Medicine of Beijing, Beijing, China
| | - Weixian Shi
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.,Research Center for Preventive Medicine of Beijing, Beijing, China
| | - Yanda Chu
- Beijing Protein Innovation, Beijing, China
| | | | | | - Di Wu
- Beijing Protein Innovation, Beijing, China
| | - Yang Pan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.,Research Center for Preventive Medicine of Beijing, Beijing, China
| | - Jiachen Zhao
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.,Research Center for Preventive Medicine of Beijing, Beijing, China
| | - Yang Li
- Beijing Protein Innovation, Beijing, China
| | | | - Lijuan Chen
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.,Research Center for Preventive Medicine of Beijing, Beijing, China
| | - Siqi Liu
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,Beijing Protein Innovation, Beijing, China
| | - Quanyi Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.,Research Center for Preventive Medicine of Beijing, Beijing, China
| |
Collapse
|
6
|
Ma MJ, Liu C, Wu MN, Zhao T, Wang GL, Yang Y, Gu HJ, Cui PW, Pang YY, Tan YY, Hang H, Lin B, Qin JC, Fang LQ, Cao WC, Cheng LL. Influenza A(H7N9) Virus Antibody Responses in Survivors 1 Year after Infection, China, 2017. Emerg Infect Dis 2018; 24:663-672. [PMID: 29432091 PMCID: PMC5875250 DOI: 10.3201/eid2404.171995] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Avian influenza A(H7N9) virus has caused 5 epidemic waves in China since its emergence in 2013. We investigated the dynamic changes of antibody response to this virus over 1 year postinfection in 25 patients in Suzhou City, Jiangsu Province, China, who had laboratory-confirmed infections during the fifth epidemic wave, October 1, 2016–February 14, 2017. Most survivors had relatively robust antibody responses that decreased but remained detectable at 1 year. Antibody response was variable; several survivors had low or undetectable antibody titers. Hemagglutination inhibition titer was >1:40 for <40% of the survivors. Measured in vitro in infected mice, hemagglutination inhibition titer predicted serum protective ability. Our findings provide a helpful serologic guideline for identifying subclinical infections and for developing effective vaccines and therapeutics to counter H7N9 virus infections.
Collapse
|
7
|
Liu H, Xiong C, Chen J, Chen G, Zhang J, Li Y, Xiong Y, Wang R, Cao Y, Chen Q, Liu D, Wang H, Chen J. Two genetically diverse H7N7 avian influenza viruses isolated from migratory birds in central China. Emerg Microbes Infect 2018; 7:62. [PMID: 29636458 PMCID: PMC5893581 DOI: 10.1038/s41426-018-0064-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 03/02/2018] [Accepted: 03/11/2018] [Indexed: 12/03/2022]
Abstract
After the emergence of H7N9 avian influenza viruses (AIV) in early 2013 in China, active surveillance of AIVs in migratory birds was undertaken, and two H7N7 strains were subsequently recovered from the fresh droppings of migratory birds; the strains were from different hosts and sampling sites. Phylogenetic and sequence similarity network analyses indicated that several genes of the two H7N7 viruses were closely related to those in AIVs circulating in domestic poultry, although different gene segments were implicated in the two isolates. This strongly suggested that genes from viruses infecting migratory birds have been introduced into poultry-infecting strains. A Bayesian phylogenetic reconstruction of all eight segments implied that multiple reassortments have occurred in the evolution of these viruses, particularly during late 2011 and early 2014. Antigenic analysis using a hemagglutination inhibition test showed that the two H7N7 viruses were moderately cross-reactive with H7N9-specific anti-serum. The ability of the two H7N7 viruses to remain infectious under various pH and temperature conditions was evaluated, and the viruses persisted the longest at near-neutral pH and in cold temperatures. Animal infection experiments showed that the viruses were avirulent to mice and could not be recovered from any organs. Our results indicate that low pathogenic, divergent H7N7 viruses circulate within the East Asian-Australasian flyway. Virus dispersal between migratory birds and domestic poultry may increase the risk of the emergence of novel unprecedented strains.
Collapse
Affiliation(s)
- Haizhou Liu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Chaochao Xiong
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Jing Chen
- Hubei Wildlife Rescue, Research and Development Center, Wuhan, Hubei, 430074, China
| | - Guang Chen
- Hubei Wildlife Rescue, Research and Development Center, Wuhan, Hubei, 430074, China
| | - Jun Zhang
- Hubei Wildlife Rescue, Research and Development Center, Wuhan, Hubei, 430074, China
| | - Yong Li
- Hubei Wildlife Rescue, Research and Development Center, Wuhan, Hubei, 430074, China
| | - Yanping Xiong
- Hubei Wildlife Rescue, Research and Development Center, Wuhan, Hubei, 430074, China
| | - Runkun Wang
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Ying Cao
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Quanjiao Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
- Center for Influenza Research and Early warning (CASCIRE), Chinese Academy of Sciences, Beijing, 100101, China
| | - Di Liu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
- Center for Influenza Research and Early warning (CASCIRE), Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy Sciences, Beijing, 101409, China
| | - Hanzhong Wang
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Jianjun Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China.
- Center for Influenza Research and Early warning (CASCIRE), Chinese Academy of Sciences, Beijing, 100101, China.
| |
Collapse
|
8
|
Lai C, Wang K, Zhao Z, Zhang L, Gu H, Yang P, Wang X. C-C Motif Chemokine Ligand 2 (CCL2) Mediates Acute Lung Injury Induced by Lethal Influenza H7N9 Virus. Front Microbiol 2017; 8:587. [PMID: 28421067 PMCID: PMC5379033 DOI: 10.3389/fmicb.2017.00587] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 03/21/2017] [Indexed: 11/13/2022] Open
Abstract
An avian-origin influenza A (H7N9) virus was a cause for concern in China in the spring of 2013. Most H7N9 infections resulted in acute respiratory distress syndrome (ARDS), which is a severe form of acute lung injury (ALI) that contributes to morbidity and mortality. In this study, we induced viral ALI by infecting wild-type and CCL2-deficient mice with influenza H7N9 virus. The results suggested a close association between C-C motif chemokine ligand 2 (CCL2) expressions and ALI induced by a lethal H7N9 virus strain (A/Hebei/01/2013). Elevated CCL2 levels were also detected in confirmed human cases of H7N9 and the bronchoalveolar lavage fluid (BALF) of H7N9-infected mice. Moreover, CCL2 was overexpressed in the lung tissue of infected mice. More importantly, CCL2 deficiency ameliorated H7N9-induced ALI in mice as determined by weight loss, survival rate, the wet:dry ratio of the lung, and pathology. Taken together, our findings demonstrate that CCL2 is essential for H7N9 virus infection and thus that it is a potential therapeutic target for influenza.
Collapse
Affiliation(s)
- Chengcai Lai
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and EpidemiologyBeijing, China
| | - Keyu Wang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and EpidemiologyBeijing, China
| | - Zhongpeng Zhao
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and EpidemiologyBeijing, China
| | - Liangyan Zhang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and EpidemiologyBeijing, China
| | - Hongjing Gu
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and EpidemiologyBeijing, China
| | - Penghui Yang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and EpidemiologyBeijing, China.,Beijing 302 HospitalBeijing, China
| | - Xiliang Wang
- State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and EpidemiologyBeijing, China
| |
Collapse
|
9
|
Hayney MS, Henriquez KM, Barnet JH, Ewers T, Champion HM, Flannery S, Barrett B. Serum IFN-γ-induced protein 10 (IP-10) as a biomarker for severity of acute respiratory infection in healthy adults. J Clin Virol 2017; 90:32-37. [PMID: 28334685 PMCID: PMC5408957 DOI: 10.1016/j.jcv.2017.03.003] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Revised: 02/20/2017] [Accepted: 03/05/2017] [Indexed: 01/08/2023]
Abstract
Serum IP-10 concentrations from 225 ARI episodes correlated with ARI severity for the episode. IP-10 concentrations varied with the viral pathogen that was identified. IP-10 may be a biomarker for ARI severity and for presence of a viral pathogen.
Background The inflammatory chemokine, interferon-gamma inducible protein of 10 kDa (IP-10), is a biomarker associated with several conditions. Objectives This study investigated serum concentrations of IP-10 in healthy individuals who developed acute respiratory infection (ARI). The hypothesis is that serum IP-10 concentrations correlate with ARI severity and detection of viral pathogens. Study design Data come from a randomized controlled trial measuring the effects of mindfulness meditation or exercise on ARI (Clinical Trials ID: NCT01654289). Healthy adults ages 30–69 were followed for a single season for ARI incidence and severity. This trial is ongoing, and the investigators are still blinded. When a participant reported ARI symptoms, nasal swab and lavage for PCR-based viral identification and blood samples were collected within the first 72 h of ARI symptoms. Serum IP-10 concentrations were measured by ELISA (R&D Systems, Inc., Quantikine ELISA, Minneapolis, MN). ARI severity was measured using the validated Wisconsin Upper Respiratory Symptom Survey (WURSS-24) until the ARI episode resolved. Results Serum IP-10 concentrations from 225 ARI episodes correlated with ARI global severity (rho 0.28 [95% CI: 0.15–0.39]; p < 0.001). IP-10 concentrations were higher with an ARI in which a viral pathogen was detected compared to no viral pathogen detected (median 366 pg/ml [IQR: 227–486] vs 163 pg/ml [IQR: 127–295], p < 0.0001). Influenza infections had higher IP-10 concentrations than coronavirus, enterovirus or rhinovirus, and paramyxovirus. Conclusion Serum IP-10 concentration correlates with ARI global severity. Also, IP-10 concentration measured early in the course of the ARI correlates with the daily severity, duration, and illness symptoms.
Collapse
Affiliation(s)
- Mary S Hayney
- School of Pharmacy, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States.
| | - Kelsey M Henriquez
- School of Pharmacy, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States
| | - Jodi H Barnet
- Department of Family Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States
| | - Tola Ewers
- Department of Family Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States
| | - Heather M Champion
- School of Pharmacy, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States
| | - Sean Flannery
- School of Pharmacy, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States
| | - Bruce Barrett
- Department of Family Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, United States
| |
Collapse
|
10
|
Wolf S, Wu W, Jones C, Perwitasari O, Mahalingam S, Tripp RA. MicroRNA Regulation of Human Genes Essential for Influenza A (H7N9) Replication. PLoS One 2016; 11:e0155104. [PMID: 27166678 PMCID: PMC4864377 DOI: 10.1371/journal.pone.0155104] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 04/25/2016] [Indexed: 12/16/2022] Open
Abstract
Influenza A viruses are important pathogens of humans and animals. While seasonal influenza viruses infect humans every year, occasionally animal-origin viruses emerge to cause pandemics with significantly higher morbidity and mortality rates. In March 2013, the public health authorities of China reported three cases of laboratory confirmed human infection with avian influenza A (H7N9) virus, and subsequently there have been many cases reported across South East Asia and recently in North America. Most patients experience severe respiratory illness, and morbidity with mortality rates near 40%. No vaccine is currently available and the use of antivirals is complicated due the frequent emergence of drug resistant strains. Thus, there is an imminent need to identify new drug targets for therapeutic intervention. In the current study, a high-throughput screening (HTS) assay was performed using microRNA (miRNA) inhibitors to identify new host miRNA targets that reduce influenza H7N9 replication in human respiratory (A549) cells. Validation studies lead to a top hit, hsa-miR-664a-3p, that had potent antiviral effects in reducing H7N9 replication (TCID50 titers) by two logs. In silico pathway analysis revealed that this microRNA targeted the LIF and NEK7 genes with effects on pro-inflammatory factors. In follow up studies using siRNAs, anti-viral properties were shown for LIF. Furthermore, inhibition of hsa-miR-664a-3p also reduced virus replication of pandemic influenza A strains H1N1 and H3N2.
Collapse
Affiliation(s)
- Stefan Wolf
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States of America
- Institute for Glycomics, Griffith University, Gold Coast, Southport, QLD, Australia
| | - Weilin Wu
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States of America
| | - Cheryl Jones
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States of America
| | - Olivia Perwitasari
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States of America
| | - Suresh Mahalingam
- Institute for Glycomics, Griffith University, Gold Coast, Southport, QLD, Australia
| | - Ralph A. Tripp
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States of America
| |
Collapse
|
11
|
Farzin H, Toroghi R, Haghparast A. Up-Regulation of Pro-Inflammatory Cytokines and Chemokine Production in Avian Influenza H9N2 Virus-Infected Human Lung Epithelial Cell Line (A549). Immunol Invest 2016; 45:116-29. [DOI: 10.3109/08820139.2015.1099663] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
|
12
|
Hu Y, Zhang Y, Ren X, Liu Y, Xiao Y, Li L, Yang F, Su H, Liu F, Liu H, Cao B, Jin Q. A case report demonstrating the utility of next generation sequencing in analyzing serial samples from the lung following an infection with influenza A (H7N9) virus. J Clin Virol 2016; 76:45-50. [PMID: 26826577 DOI: 10.1016/j.jcv.2015.12.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 12/25/2015] [Accepted: 12/31/2015] [Indexed: 11/25/2022]
Abstract
BACKGROUND Bacterial pneumonia is a well-recognized sequela of patient suffering from influenza, and a key factor, with cytokine dysregulation, that contribute to severe disease and mortality. OBJECTIVES To obtain a comprehensive assessment of lung microbial community dynamics in a fatal influenza H7N9 case during the whole clinical course, we undertook a longitudinal study. STUDY DESIGN Serial bronchoalveolar lavage fluid samples were collected from a H7N9 patient after illness onset, and the microbiome was characterized by using next-generation sequencing and microbiological approaches. Furthermore, the kinetics of circulating cytokine storms related to viral and secondary bacterial infection were analyzed. RESULTS Within complex and dynamic communities, the lung microbiome with H7N9 infection were dominated by gram-negative bacteria, Acinetobacter baumannii after the viral invasion and during the whole clinical course. Sputum and blood culture confirmed the secondary bacterial infection with multidrug-resistant A. baumannii 9 days later. The dynamics of the bacterial infection with carbapenem-resistant A. baumannii correlated with antibiotic therapy. Our observations also indicated that sustained high levels of host inflammatory factors, consisting of a set of distinct cytokines associated with disease stage, may contribute to disease progression and death. CONCLUSIONS This study demonstrates an initial attempt to explore the dynamic microbiome involved inH7N9 infection and its response to antimicrobial therapy, as well as host cytokine response to infection by using next-generation sequencing. These type of investigations with longitudinal follow-up to understand dynamics of microbial community and cytokines involved in lung infection may provide opportunities for development and optimization of targeted antimicrobial therapy and even new therapeutic strategies.
Collapse
Affiliation(s)
- Yongfeng Hu
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Yan Zhang
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Xianwen Ren
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Yingmei Liu
- Department of Infectious Diseases and Clinical Microbiology, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Capital Medical University, Beijing, China; Centre of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Centre for Respiratory Disease, Beijing, China
| | - Yan Xiao
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Li Li
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Fan Yang
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Haoxiang Su
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Feng Liu
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Haiying Liu
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China.
| | - Bin Cao
- Department of Infectious Diseases and Clinical Microbiology, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Capital Medical University, Beijing, China; Centre of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Centre for Respiratory Disease, Beijing, China.
| | - Qi Jin
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
| |
Collapse
|
13
|
Yum J, Ku KB, Kim HS, Seo SH. H7N9 Influenza Virus Is More Virulent in Ferrets than 2009 Pandemic H1N1 Influenza Virus. Viral Immunol 2015; 28:590-9. [DOI: 10.1089/vim.2015.0052] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Jung Yum
- Laboratory of Influenza Research, College of Veterinary Medicine, Chungnam National University, Daejeon, Korea
- Institute of Influenza Virus, College of Veterinary Medicine, Chungnam National University, Daejeon, Korea
| | - Keun Bon Ku
- Laboratory of Influenza Research, College of Veterinary Medicine, Chungnam National University, Daejeon, Korea
- Institute of Influenza Virus, College of Veterinary Medicine, Chungnam National University, Daejeon, Korea
| | - Hyun Soo Kim
- Laboratory of Public Health, College of Veterinary Medicine, Chungnam National University, Daejeon, Korea
| | - Sang Heui Seo
- Laboratory of Influenza Research, College of Veterinary Medicine, Chungnam National University, Daejeon, Korea
- Institute of Influenza Virus, College of Veterinary Medicine, Chungnam National University, Daejeon, Korea
| |
Collapse
|
14
|
The role of C5a in acute lung injury induced by highly pathogenic viral infections. Emerg Microbes Infect 2015; 4:e28. [PMID: 26060601 PMCID: PMC4451266 DOI: 10.1038/emi.2015.28] [Citation(s) in RCA: 114] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Revised: 03/12/2015] [Accepted: 03/31/2015] [Indexed: 12/14/2022]
Abstract
The complement system, an important part of innate immunity, plays a critical role in pathogen clearance. Unregulated complement activation is likely to play a crucial role in the pathogenesis of acute lung injury (ALI) induced by highly pathogenic virus including influenza A viruses H5N1, H7N9, and severe acute respiratory syndrome (SARS) coronavirus. In highly pathogenic virus-induced acute lung diseases, high levels of chemotactic and anaphylatoxic C5a were produced as a result of excessive complement activaiton. Overproduced C5a displays powerful biological activities in activation of phagocytic cells, generation of oxidants, and inflammatory sequelae named "cytokine storm", and so on. Blockade of C5a signaling have been implicated in the treatment of ALI induced by highly pathogenic virus. Herein, we review the literature that links C5a and ALI, and review our understanding of the mechanisms by which C5a affects ALI during highly pathogenic viral infection. In particular, we discuss the potential of the blockade of C5a signaling to treat ALI induced by highly pathogenic viruses.
Collapse
|
15
|
Liu M, Li X, Yuan H, Zhou J, Wu J, Bo H, Xia W, Xiong Y, Yang L, Gao R, Guo J, Huang W, Zhang Y, Zhao X, Zou X, Chen T, Wang D, Li Q, Wang S, Chen S, Hu M, Ni X, Gong T, Shi Y, Li J, Zhou J, Cai J, Xiao Z, Zhang W, Sun J, Li D, Wu G, Feng Z, Wang Y, Chen H, Shu Y. Genetic diversity of avian influenza A (H10N8) virus in live poultry markets and its association with human infections in China. Sci Rep 2015; 5:7632. [PMID: 25591167 PMCID: PMC5379002 DOI: 10.1038/srep07632] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Accepted: 11/21/2014] [Indexed: 11/09/2022] Open
Abstract
Following the first human infection with the influenza A (H10N8) virus in Nanchang, China in December 2013, we identified two additional patients on January 19 and February 9, 2014. The epidemiologic, clinical, and virological data from the patients and the environmental specimen collected from 23 local live poultry markets (LPMs) were analyzed. The three H10N8 cases had a history of poultry exposure and presented with high fever (>38°C), rapidly progressive pneumonia and lymphopenia. Substantial high levels of cytokines and chemokines were observed. The sequences from an isolate (A/Environment/Jiangxi/03489/2013 [H10N8]) in an epidemiologically linked LPM showed highly identity with human H10N8 virus, evidencing LPM as the source of human infection. The HA and NA of human and environmental H10N8 isolates showed high identity (99.1–99.9%) while six genotypes with internal genes derived from H9N2, H7N3 and H7N9 subtype viruses were detected in environmental H10N8 isolates. The genotype of the virus causing human infection, Jiangxi/346, possessed a whole internal gene set of the A/Environment/Jiangxi/10618/2014(H9N2)-like virus. Thus, our findings support the notion that LPMs can act as both a gene pool for the generation of novel reassortants and a source for human infection, and intensive surveillance and management should therefore be conducted.
Collapse
Affiliation(s)
- Mingbin Liu
- Nanchang Center for Disease Control and Prevention, Nanchang, China, 330038
| | - Xiaodan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Hui Yuan
- Jiangxi Provincial Disease Control and Prevention, Nanchang, China, 330029
| | - Jianfang Zhou
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Jingwen Wu
- Nanchang Center for Disease Control and Prevention, Nanchang, China, 330038
| | - Hong Bo
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Wen Xia
- Nanchang Center for Disease Control and Prevention, Nanchang, China, 330038
| | - Ying Xiong
- Jiangxi Provincial Disease Control and Prevention, Nanchang, China, 330029
| | - Lei Yang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Rongbao Gao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Junfeng Guo
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Weijuan Huang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Ye Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Xiang Zhao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Xiaohui Zou
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Tao Chen
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Qun Li
- Chinese Center for Disease Control and Prevention, Beijing, China, 102206
| | - ShiWen Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Shengen Chen
- Nanchang Center for Disease Control and Prevention, Nanchang, China, 330038
| | - Maohong Hu
- Nanchang Center for Disease Control and Prevention, Nanchang, China, 330038
| | - Xiansheng Ni
- Nanchang Center for Disease Control and Prevention, Nanchang, China, 330038
| | - Tian Gong
- Jiangxi Provincial Disease Control and Prevention, Nanchang, China, 330029
| | - Yong Shi
- Jiangxi Provincial Disease Control and Prevention, Nanchang, China, 330029
| | - Jianxiong Li
- Jiangxi Provincial Disease Control and Prevention, Nanchang, China, 330029
| | - Jun Zhou
- Jiangxi Provincial Disease Control and Prevention, Nanchang, China, 330029
| | - Jun Cai
- Donghu District Center for Disease Control and Prevention, Nanchang, China, 330008
| | - Zuke Xiao
- Jiangxi Provincial people's Hospital, Nanchang, China, 330006
| | - Wei Zhang
- The first affiliated hospital of Nanchang University, Nanchang, China, 330008
| | - Jian Sun
- The fourth affiliated hospital of Nanchang University, China, 330006
| | - Dexin Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Guizhen Wu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention, Beijing, China, 102206
| | - Yu Wang
- Chinese Center for Disease Control and Prevention, Beijing, China, 102206
| | - Haiying Chen
- Nanchang Center for Disease Control and Prevention, Nanchang, China, 330038
| | - Yuelong Shu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China, 102206
| |
Collapse
|