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Zhuang T, Hu M, Wang J, Mei L, Zhu X, Zhang H, Jin F, Shao J, Wang T, Wang C, Niu X, Wu D. Sodium houttuyfonate effectively treats acute pulmonary infection of Pseudomonas aeruginosa by affecting immunity and intestinal flora in mice. Front Cell Infect Microbiol 2022; 12:1022511. [PMID: 36530439 PMCID: PMC9751016 DOI: 10.3389/fcimb.2022.1022511] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/14/2022] [Indexed: 12/04/2022] Open
Abstract
Introduction Pseudomonas aeruginosa is a major nosocomial pathogen that frequently causes ventilator-associated pneumonia in specific populations. Sodium houttuyfonate (SH) has shown mild antibacterial activity against P. aeruginosa in vitro, but the mechanism of potent antimicrobial activity of SH against P. aeruginosa infection in vivo remains unclear. Methods Here, using the mouse pneumonia model induced by P. aeruginosa nasal drip to explore the therapeutic effects of SH. Results We found that SH exhibits dose-dependent therapeutic effects of reducing P. aeruginosa burden and systemic inflammation in pneumonia mice. SH ameliorates inflammatory gene expression and production of inflammatory proteins, such as interleukin-6 (IL-6), nuclear factor kappa-B (NF-κB) and toll-like receptor 4 (TLR4), associated with the TLR4/NF-κB pathway in mice with P. aeruginosa pneumonia. Furthermore, we analyzed the intestinal flora of mice and found that compared with the model group, the abundance and diversity of beneficial bacterial flora of SH treatment groups increased significantly, suggesting that SH can improve the intestinal flora disorder caused by inflammation. In addition, SH improves alpha and beta diversity index and reduces species abundance differences of intestinal flora in pneumonia mice. Discussion Taken together, our presented results indicate that SH may effectively alleviate the acute pulmonary infection induced by P. aeruginosa by reducing the disturbance of regulating immunity and intestinal flora in mice.
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Affiliation(s)
- Tian Zhuang
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China
| | - Mengxue Hu
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China
| | - Jian Wang
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, China,Pathology Department, First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Longfei Mei
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China
| | - Xiaoxiao Zhu
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China
| | - Haitao Zhang
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China
| | - Feng Jin
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China
| | - Jing Shao
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China,Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, China
| | - Tianming Wang
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, China
| | - Changzhong Wang
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China,Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, China
| | - Xiaojia Niu
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Research Institute of Integrated Traditional Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China,Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, China,*Correspondence: Daqiang Wu, ; Xiaojia Niu,
| | - Daqiang Wu
- Department of Pathogenic Biology and Immunology, College of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China,Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, China,*Correspondence: Daqiang Wu, ; Xiaojia Niu,
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2
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Yi P, Yang X, Ding C, Chen Y, Xu K, Ni Q, Zhao H, Li Y, Zhang X, Liu J, Sheng J, Li L. Risk factors and clinical features of deterioration in COVID-19 patients in Zhejiang, China: a single-centre, retrospective study. BMC Infect Dis 2020; 20:943. [PMID: 33302889 PMCID: PMC7726595 DOI: 10.1186/s12879-020-05682-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 12/03/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection swept through Wuhan and spread across China and overseas beginning in December 2019. To identify predictors associated with disease progression, we evaluated clinical risk factors for exacerbation of SARS-CoV-2 infection. METHODS A retrospective analysis was used for PCR-confirmed COVID-19 (coronavirus disease 2019)-diagnosed hospitalized cases between January 19, 2020, and February 19, 2020, in Zhejiang, China. We systematically analysed the clinical characteristics of the patients and predictors of clinical deterioration. RESULTS One hundred patients with COVID-19, with a median age of 54 years, were included. Among them, 49 patients (49%) had severe and critical disease. Age ([36-58] vs [51-70], P = 0.0001); sex (49% vs 77.6%, P = 0.0031); Body Mass Index (BMI) ([21.53-25.51] vs [23.28-27.01], P = 0.0339); hypertension (17.6% vs 57.1%, P < 0.0001); IL-6 ([6.42-30.46] vs [16.2-81.71], P = 0.0001); IL-10 ([2.16-5.82] vs [4.35-9.63], P < 0.0001); T lymphocyte count ([305-1178] vs [167.5-440], P = 0.0001); B lymphocyte count ([91-213] vs [54.5-163.5], P = 0.0001); white blood cell count ([3.9-7.6] vs [5.5-13.6], P = 0.0002); D2 dimer ([172-836] vs [408-953], P = 0.005), PCT ([0.03-0.07] vs [0.04-0.15], P = 0.0039); CRP ([3.8-27.9] vs [17.3-58.9], P < 0.0001); AST ([16, 29] vs [18, 42], P = 0.0484); artificial liver therapy (2% vs 16.3%, P = 0.0148); and glucocorticoid therapy (64.7% vs 98%, P < 0.0001) were associated with the severity of the disease. Age and weight were independent risk factors for disease severity. CONCLUSION Deterioration among COVID-19-infected patients occurred rapidly after hospital admission. In our cohort, we found that multiple factors were associated with the severity of COVID19. Early detection and monitoring of these indicators may reduce the progression of the disease. Removing these factors may halt the progression of the disease. In addition, Oxygen support, early treatment with low doses of glucocorticoids and artificial liver therapy, when necessary, may help reduce mortality in critically ill patients.
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Affiliation(s)
- Ping Yi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Xiang Yang
- Department of Infectious Disease, ShuLan Hangzhou Hospital, Hangzhou, Zhejiang Province, China
| | - Cheng Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Yanfei Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Qing Ni
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Hong Zhao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Yongtao Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Xuan Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Jun Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 31003, Zhejiang Province, People's Republic of China.
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3
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Jia W, Wang W, Li R, Zhou Q, Qu Y, Jia Y, Zhang Z, Wan C, Zhang W. Effect of Qinbai Qingfei Concentrated Pellets on substance P and neutral endopeptidase of rats with post-infectious cough. BMC Complement Med Ther 2020; 20:289. [PMID: 32962697 PMCID: PMC7507634 DOI: 10.1186/s12906-020-03081-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 09/13/2020] [Indexed: 01/17/2023] Open
Abstract
Background In recent years, it has been reported that Qinbai Qingfei Concentrated Pellet (QQCP) has the effect of relieving cough and reducing sputum. However, the therapeutic potentials of QQCP on post-infectious cough (PIC) rat models has not been elucidated. So the current study was aimed to scientifically validate the efficacy of QQCP in post infectious cough. Methods All rats were exposed to sawdust and cigarette smokes for 10 days, and intratracheal lipopolysaccharide (LPS) and capsaicin aerosols. Rats were treated with QQCP at dose of 80, 160, 320 mg/kg. Cough frequency was monitored twice a day for 10 days after drug administration. Inflammatory cell infiltration was determined by ELISA. Meanwhile, the histopathology of lung tissue and bronchus in rats were evaluated by hematoxylin-eosin staining (H&E). Neurogenetic inflammation were measured by ELISA and qRT-PCR. Results QQCP dose-dependently decreased the cough frequency and the release of pro-inflammatory cytokines TNF-α, IL-1β, IL-6 and IL-8, but exerted the opposite effects on the secretion of anti-inflammatory cytokines IL-10 and IL-13 in BALF and serum of PIC rats. The oxidative burden was effectively ameliorated in QQCP-treated PIC rats as there were declines in Malondialdehyde (MDA) content and increases in Superoxide dismutase (SOD) activity in the serum and lung tissue. In addition, QQCP blocked inflammatory cell infiltration into the lung as evidenced by the reduced number of total leukocytes and the portion of neutrophils in the broncho - alveolar lavage fluid (BALF) as well as the alleviated lung damage. Furthermore, QQCP considerable reversed the neurogenetic inflammation caused by PIC through elevating neutral endopeptidase (NEP) activity and reducing Substance P (SP) and Calcitonin gene related peptide (CGRP) expression in BALF, serum and lung tissue. Conclusions Our study indicated that QQCP demonstrated a protective role of PIC and may be a potential therapeutic target of PIC.
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Affiliation(s)
- Weigang Jia
- Department of Emergency, Nangang Branch of Heilongjiang Academy of Traditional Chinese Medicine, Harbin, 150001, China
| | - Wei Wang
- Department of Emergency, Nangang Branch of Heilongjiang Academy of Traditional Chinese Medicine, Harbin, 150001, China
| | - Rui Li
- Department of Emergency, Nangang Branch of Heilongjiang Academy of Traditional Chinese Medicine, Harbin, 150001, China
| | - Quanyu Zhou
- Department of Emergency, Nangang Branch of Heilongjiang Academy of Traditional Chinese Medicine, Harbin, 150001, China
| | - Ying Qu
- Department of Orthopedics, Heilongjiang Provincial Hospital, Harbin, 150036, China.
| | - Yumei Jia
- The First Arrached Hostopal of Hebei Norruers Institlte, Zhangjiakou, 075000, China
| | - Zhiheng Zhang
- Department of Emergency, Nangang Branch of Heilongjiang Academy of Traditional Chinese Medicine, Harbin, 150001, China
| | - Chengwei Wan
- Gushi County Hospital of Traditional Chinese Medicine, Gushi, 465200, China
| | - Wanwan Zhang
- Department of Emergency, Nangang Branch of Heilongjiang Academy of Traditional Chinese Medicine, Harbin, 150001, China
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Zhao P, Sun L, Xiong J, Wang C, Chen L, Yang P, Yu H, Yan Q, Cheng Y, Jiang L, Chen Y, Zhao G, Jiang Q, Xiong C. Semiaquatic mammals might be intermediate hosts to spread avian influenza viruses from avian to human. Sci Rep 2019; 9:11641. [PMID: 31406229 PMCID: PMC6690891 DOI: 10.1038/s41598-019-48255-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 07/30/2019] [Indexed: 12/29/2022] Open
Abstract
Avian influenza A viruses (AIVs) can occasionally transmit to mammals and lead to the development of human pandemic. A species of mammal is considered as a mixing vessel in the process of host adaptation. So far, pigs are considered as a plausible intermediate host for the generation of human pandemic strains, and are labelled ‘mixing vessels’. In this study, through the analysis of two professional databases, the Influenza Virus Resource of NCBI and the Global Initiative on Sharing Avian Influenza Data (GISAID), we found that the species of mink (Neovison vison) can be infected by more subtypes of influenza A viruses with considerably higher α-diversity related indices. It suggested that the semiaquatic mammals (riverside mammals), rather than pigs, might be the intermediate host to spread AIVs and serve as a potential mixing vessel for the interspecies transmission among birds, mammals and human. In epidemic areas, minks, possibly some other semiaquatic mammals as well, could be an important sentinel species for influenza surveillance and early warning.
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Affiliation(s)
- Ping Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Lingsha Sun
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jiasheng Xiong
- College of Marine Science, Shandong University, Weihai, China
| | - Chuan Wang
- The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Liang Chen
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Pengfei Yang
- Huai'an Center for Disease Control and Prevention, Huai'an, China
| | - Hao Yu
- Hongze Center for Disease Control and Prevention, Hongze, China
| | - Qingli Yan
- Huai'an Center for Disease Control and Prevention, Huai'an, China
| | - Yan Cheng
- Hongze Center for Disease Control and Prevention, Hongze, China
| | - Lufang Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Qingwu Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Chenglong Xiong
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China. .,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
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Jinxin oral liquid inhibits human respiratory syncytial virus-induced excessive inflammation associated with blockade of the NLRP3/ASC/Caspase-1 pathway. Biomed Pharmacother 2018; 103:1376-1383. [DOI: 10.1016/j.biopha.2018.04.174] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 04/10/2018] [Accepted: 04/23/2018] [Indexed: 01/08/2023] Open
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6
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Luo C, Liu J, Qi W, Ren X, Lu R, Liao M, Ning Z. Dynamic analysis of expression of chemokine and cytokine gene responses to H5N1 and H9N2 avian influenza viruses in DF-1 cells. Microbiol Immunol 2018; 62:327-340. [PMID: 29577370 DOI: 10.1111/1348-0421.12588] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 02/02/2018] [Accepted: 03/14/2018] [Indexed: 11/28/2022]
Abstract
H5N1 and H9N2 are the most important causes of avian influenza in China. Chemokines and cytokines play important roles in inflammatory response that clearly differ between H5N1 and H9N2 infection. To investigate whether chemokines and cytokines are differentially regulated following H5N1 and H9N2 AIVs infection, dynamic expression of chemokines and cytokines, including IL8L1, IL8L2, CX3CL1, CCL5, CCL20, K203, SCYA4, XLC1, CCLi10, CCL19, IFN-α, IFN-β, IL-1β, IL-6 and TNF-α, were analyzed by real-time quantitative RT-PCR in DF-1 cells. It was found that IL8L1, IL8L2, CX3CL1, CCL5, CCL20, K203, SCYA4, IFN-α, IFN-β, IL-1β, IL-6 and TNF-α increased significantly after induction of H5N1 or H9N2 AIV infection, whereas no expression of XCL1, CCLi10 or CCL19 was detected. H9N2 AIV infection was associated with much stronger chemokine responses than infection with H5N1, whereas the cytokines showed opposite results. It was found that K203 is a constant chemotactic factor independent of subtype of AIVs and infectious dose, CCL20 and IL-1β are constant regardless of the infectious dose but depend on the subtype of AIV, chemotactic factors IL8L1, IL8L2 and CCL5 are dependent both on subtype of AIVs and infectious dose, and K203, CX3CL1, SCYA4, CCL20, IFN-α, IL-1β and TNF-α are specific to responses to H5N1 AIV infection whereas K203, CCL20, IFN-β, IL-1β and IL-6 are specific to H9N2 infection. These results provide basic data for explaining differences in inflammation and phenotypes of histopathological changes caused by H5N1 and H9N2 and add new information on the roles of chemokines and cytokines in virulence of AIVs.
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Affiliation(s)
- Chang Luo
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Jianxin Liu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Wenbao Qi
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Xujiao Ren
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Rong Lu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Ming Liao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Zhangyong Ning
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
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The H7N9 influenza A virus infection results in lethal inflammation in the mammalian host via the NLRP3-caspase-1 inflammasome. Sci Rep 2017; 7:7625. [PMID: 28790324 PMCID: PMC5548739 DOI: 10.1038/s41598-017-07384-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 06/23/2017] [Indexed: 02/04/2023] Open
Abstract
The avian origin influenza A virus (IAV) H7N9 has caused a considerable number of human infections associated with high rates of death since its emergence in 2013. As a vital component of the host innate immune system, the nucleotide-binding domain leucine-rich repeat containing receptor, pyrin domain containing 3 (NLRP3) inflammasome plays a critical role against H1N1 viral infection. However, the function of NLRP3 inflammasome in host immunological responses to the lethal H7N9 virus is still obscure. Here, we demonstrated that mice deficient for NLRP3 inflammasome components, including NLRP3, caspase-1, and Apoptosis-associated speck-like protein containing a CARD (ASC), were less susceptible to H7N9 viral challenge than wild type (WT) controls. Inflammasome deficiency in these animals led to significantly milder mortality and less pulmonary inflammation compared with WT mice. Furthermore, IL-1 receptor deficient mice also exhibited a higher survival rate than WT controls. Thus, our study reveals that the NLRP3 inflammasome is deleterious for the host during H7N9 infection in mice, which is due to an overwhelming inflammatory response via caspase-1 activation and associated IL-1 signal. Therefore, fine-tuning the activity of NLRP3 inflammasome or IL-1 signaling may be beneficial for the host to control H7N9 associated lethal pathogenesis.
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Söderholm S, Fu Y, Gaelings L, Belanov S, Yetukuri L, Berlinkov M, Cheltsov AV, Anders S, Aittokallio T, Nyman TA, Matikainen S, Kainov DE. Multi-Omics Studies towards Novel Modulators of Influenza A Virus-Host Interaction. Viruses 2016; 8:v8100269. [PMID: 27690086 PMCID: PMC5086605 DOI: 10.3390/v8100269] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 09/13/2016] [Accepted: 09/22/2016] [Indexed: 12/20/2022] Open
Abstract
Human influenza A viruses (IAVs) cause global pandemics and epidemics. These viruses evolve rapidly, making current treatment options ineffective. To identify novel modulators of IAV–host interactions, we re-analyzed our recent transcriptomics, metabolomics, proteomics, phosphoproteomics, and genomics/virtual ligand screening data. We identified 713 potential modulators targeting 199 cellular and two viral proteins. Anti-influenza activity for 48 of them has been reported previously, whereas the antiviral efficacy of the 665 remains unknown. Studying anti-influenza efficacy and immuno/neuro-modulating properties of these compounds and their combinations as well as potential viral and host resistance to them may lead to the discovery of novel modulators of IAV–host interactions, which might be more effective than the currently available anti-influenza therapeutics.
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Affiliation(s)
- Sandra Söderholm
- Institute of Biotechnology, University of Helsinki, Helsinki 00014, Finland.
- Finnish Institute of Occupational Health, Helsinki 00250, Finland.
| | - Yu Fu
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
| | - Lana Gaelings
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
| | - Sergey Belanov
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
| | - Laxman Yetukuri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
| | - Mikhail Berlinkov
- Institute of Mathematics and Computer Science, Ural Federal University, Yekaterinburg 620083, Russia.
| | - Anton V Cheltsov
- Q-Mol L.L.C. in Silico Pharmaceuticals, San Diego, CA 92037, USA.
| | - Simon Anders
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
| | - Tero Aittokallio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
- Department of Mathematics and Statistics, University of Turku, Turku 20014, Finland.
| | | | - Sampsa Matikainen
- Finnish Institute of Occupational Health, Helsinki 00250, Finland.
- Department of Rheumatology, Helsinki University Hospital, University of Helsinki, Helsinki 00015, Finland.
| | - Denis E Kainov
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
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