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Liu Q, Kwan KY, Cao T, Yan B, Ganesan K, Jia L, Zhang F, Lim C, Wu Y, Feng Y, Chen Z, Liu L, Chen J. Broad-spectrum antiviral activity of Spatholobus suberectus Dunn against SARS-CoV-2, SARS-CoV-1, H5N1, and other enveloped viruses. Phytother Res 2022; 36:3232-3247. [PMID: 35943221 PMCID: PMC9537938 DOI: 10.1002/ptr.7452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/05/2022] [Accepted: 03/10/2022] [Indexed: 02/06/2023]
Abstract
The current COVID-19 pandemic caused by SARS-Cov-2 is responsible for more than 6 million deaths globally. The development of broad-spectrum and cost-effective antivirals is urgently needed. Medicinal plants are renowned as a complementary approach in which antiviral natural products have been established as safe and effective drugs. Here, we report that the percolation extract of Spatholobus suberectus Dunn (SSP) is a broad-spectrum viral entry inhibitor against SARS-CoV-1/2 and other enveloped viruses. The viral inhibitory activities of the SSP were evaluated by using pseudotyped SARS-CoV-1 and 2, HIV-1ADA and HXB2 , and H5N1. SSP effectively inhibited viral entry and with EC50 values ranging from 3.6 to 5.1 μg/ml. Pre-treatment of pseudovirus or target cells with SSP showed consistent inhibitory activities with the respective EC50 value of 2.3 or 2.1 μg/ml. SSP blocked both SARS-CoV-2 spike glycoprotein and the host ACE2 receptor. In vivo studies indicated that there was no abnormal toxicity and behavior in long-term SSP treatment. Based on these findings, we concluded that SSP has the potential to be developed as a drug candidate for preventing and treating COVID-19 and other emerging enveloped viruses.
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Affiliation(s)
- Qingqing Liu
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Shenzhen Institute of Research and Innovation, University of Hong Kong, Shenzhen, China
| | - Ka-Yi Kwan
- AIDS Institute, State Key Laboratory of Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Tianyu Cao
- AIDS Institute, State Key Laboratory of Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Department of Immunology and Department of Dermatology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Bingpeng Yan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kumar Ganesan
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Lei Jia
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Shenzhen Institute of Research and Innovation, University of Hong Kong, Shenzhen, China
| | - Feng Zhang
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Shenzhen Institute of Research and Innovation, University of Hong Kong, Shenzhen, China
| | - Chunyu Lim
- AIDS Institute, State Key Laboratory of Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yaobin Wu
- Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, Department of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yibin Feng
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Zhiwei Chen
- AIDS Institute, State Key Laboratory of Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Li Liu
- AIDS Institute, State Key Laboratory of Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Jianping Chen
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Shenzhen Institute of Research and Innovation, University of Hong Kong, Shenzhen, China
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Mutation in Hemagglutinin Antigenic Sites in Influenza A pH1N1 Viruses from 2015–2019 in the United States Mountain West, Europe, and the Northern Hemisphere. Genes (Basel) 2022; 13:genes13050909. [PMID: 35627294 PMCID: PMC9141826 DOI: 10.3390/genes13050909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/17/2022] [Accepted: 05/17/2022] [Indexed: 11/17/2022] Open
Abstract
H1N1 influenza A virus is a respiratory pathogen that undergoes antigenic shift and antigenic drift to improve viral fitness. Tracking the evolutionary trends of H1N1 aids with the current detection and the future response to new viral strains as they emerge. Here, we characterize antigenic drift events observed in the hemagglutinin (HA) sequence of the pandemic H1N1 lineage from 2015–2019. We observed the substitutions S200P, K147N, and P154S, together with other mutations in structural, functional, and/or epitope regions in 2015–2019 HA protein sequences from the Mountain West region of the United States, the larger United States, Europe, and other Northern Hemisphere countries. We reconstructed multiple phylogenetic trees to track the relationships and spread of these mutations and tested for evidence of selection pressure on HA. We found that the prevalence of amino acid substitutions at positions 147, 154, 159, 200, and 233 significantly changed throughout the studied geographical regions between 2015 and 2019. We also found evidence of coevolution among a subset of these amino acid substitutions. The results from this study could be relevant for future epidemiological tracking and vaccine prediction efforts. Similar analyses in the future could identify additional sequence changes that could affect the pathogenicity and/or infectivity of this virus in its human host.
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Kalonda A, Saasa N, Nkhoma P, Kajihara M, Sawa H, Takada A, Simulundu E. Avian Influenza Viruses Detected in Birds in Sub-Saharan Africa: A Systematic Review. Viruses 2020; 12:v12090993. [PMID: 32906666 PMCID: PMC7552061 DOI: 10.3390/v12090993] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 09/03/2020] [Accepted: 09/05/2020] [Indexed: 12/20/2022] Open
Abstract
In the recent past, sub-Saharan Africa has not escaped the devastating effects of avian influenza virus (AIV) in poultry and wild birds. This systematic review describes the prevalence, spatiotemporal distribution, and virus subtypes detected in domestic and wild birds for the past two decades (2000–2019). We collected data from three electronic databases, PubMed, SpringerLink electronic journals and African Journals Online, using the Preferred Reporting Items for Systematic reviews and Meta-Analyses protocol. A total of 1656 articles were reviewed, from which 68 were selected. An overall prevalence of 3.0% AIV in birds was observed. The prevalence varied between regions and ranged from 1.1% to 7.1%. The Kruskal–Wallis and Wilcoxon signed-rank sum test showed no significant difference in the prevalence of AIV across regions, χ2(3) = 5.237, p = 0.1553 and seasons, T = 820, z = −1.244, p = 0.2136. Nineteen hemagglutinin/neuraminidase subtype combinations were detected during the reviewed period, with southern Africa recording more diverse AIV subtypes than other regions. The most detected subtype was H5N1, followed by H9N2, H5N2, H5N8 and H6N2. Whilst these predominant subtypes were mostly detected in domestic poultry, H1N6, H3N6, H4N6, H4N8, H9N1 and H11N9 were exclusively detected in wild birds. Meanwhile, H5N1, H5N2 and H5N8 were detected in both wild and domestic birds suggesting circulation of these subtypes among wild and domestic birds. Our findings provide critical information on the eco-epidemiology of AIVs that can be used to improve surveillance strategies for the prevention and control of avian influenza in sub-Saharan Africa.
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Affiliation(s)
- Annie Kalonda
- Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka 10101, Zambia; (A.K.); (P.N.)
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia; (N.S.); (H.S.); (A.T.)
- Africa Centre of Excellence for Infectious Disease of Humans and Animals, School of Veterinary Medicine, Lusaka 10101, Zambia
| | - Ngonda Saasa
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia; (N.S.); (H.S.); (A.T.)
| | - Panji Nkhoma
- Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka 10101, Zambia; (A.K.); (P.N.)
| | - Masahiro Kajihara
- Research Center for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan;
| | - Hirofumi Sawa
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia; (N.S.); (H.S.); (A.T.)
- Research Center for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan;
| | - Ayato Takada
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia; (N.S.); (H.S.); (A.T.)
- Research Center for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan;
- Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University Kita-ku, Sapporo 001-0020, Japan
| | - Edgar Simulundu
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia; (N.S.); (H.S.); (A.T.)
- Macha Research Trust, Choma 20100, Zambia
- Correspondence: ; Tel.: +260-977469479
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Adlhoch C, Fusaro A, Kuiken T, Niqueux E, Staubach C, Terregino C, Guajardo IM, Baldinelli F. Avian influenza overview November 2019- February2020. EFSA J 2020; 18:e06096. [PMID: 32874270 PMCID: PMC7448010 DOI: 10.2903/j.efsa.2020.6096] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Between 16 November 2019 and 15 February 2020, 36 highly pathogenic avian influenza (HPAI) A(H5N8) virus outbreakswere reported in Europe in poultry (n=34), captive birds (n=1) and wild birds (n=2), in Poland, Hungary, Slovakia, Romania, Germany, Czechiaand Ukraine,one HPAI outbreakcaused by a simultaneous infection with A(H5N2) and A(H5N8) was reported in poultry in Bulgaria, andtwo low pathogenic avian influenza (LPAI) A(H5) virus outbreaks were reported in poultryin the United Kingdom and in Denmark. Genomic characterisation of the HPAI A(H5N8) viruses suggests that they are reassortants of HPAI A(H5N8) viruses from Africa and LPAI viruses from Eurasia. It is likely that this reassortment occurred in wild migratory birds in Asia during the summer and then spread to eastern Europe with the autumnmigration. This is the first time that wild bird migration from Africa to Eurasia has been implicated in the long-distance spread of HPAI viruses to the EU. Given the late incursion of HPAI A(H5N8) virus into the EU in this winter season (first outbreak reported on 30 December 2019), its overall restriction to eastern Europe, and the approaching spring migration, the risk of the virus spreadingfurther in the west via wild birds is decreasing for the coming months. Genetic analysis of the HPAI A(H5N2) and A(H5N8) viruses detected in the Bulgarian outbreak reveals that these virusesare both related to the 2018-19 Bulgarian HPAI A(H5N8) viruses and not to the HPAI A(H5N8) viruses currently circulating in Europe.An increasing number of HPAI A(H5N1), A(H5N2), A(H5N5) and A(H5N6) virus outbreaks in poultry in Asia were reported during the time period for this report compared with the previous reporting period. Single outbreaks of HPAI A(H5N8) virus were notified by Saudi Arabia and South Africa. Furthermore, in contrast to the last report, HPAI virus-positive wild birds were reported from Israel and one of the key migration areas in northern China.Two human cases due to A(H9N2) virus infection were reported during the reporting period.
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Fusade-Boyer M, Pato PS, Komlan M, Dogno K, Batawui K, Go-Maro E, McKenzie P, Guinat C, Secula A, Paul M, Webby RJ, Tran A, Waret-Szkuta A, Ducatez MF. Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach. Viruses 2020; 12:v12020128. [PMID: 31973026 PMCID: PMC7077333 DOI: 10.3390/v12020128] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/16/2020] [Accepted: 01/18/2020] [Indexed: 11/29/2022] Open
Abstract
Influenza D virus (IDV) has been identified in several continents, with serological evidence for the virus in Africa. In order to improve the sensitivity and cost–benefit of IDV surveillance in Togo, risk maps were drawn using a spatial multicriteria decision analysis (MCDA) and experts’ opinion to evaluate the relevance of sampling areas used so far. Areas at highest risk of IDV occurrence were the main cattle markets. The maps were evaluated with previous field surveillance data collected in Togo between 2017 and 2019: 1216 sera from cattle, small ruminants, and swine were screened for antibodies to IDV by hemagglutination inhibition (HI) assays. While further samples collections are needed to validate the maps, the risk maps resulting from the spatial MCDA approach generated here highlight several priority areas for IDV circulation assessment.
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Affiliation(s)
- Maxime Fusade-Boyer
- IHAP, UMR1225, Université de Toulouse, INRA, ENVT, 31076 Toulouse, France; (M.F.-B.); (C.G.); (A.S.); (M.P.); (A.W.-S.)
| | - Pidemnéwé S. Pato
- Laboratoire Central Vétérinaire de Lomé, 55788 Lomé, Togo; (P.S.P.); (M.K.); (K.D.); (K.B.); (E.G.-M.)
| | - Mathias Komlan
- Laboratoire Central Vétérinaire de Lomé, 55788 Lomé, Togo; (P.S.P.); (M.K.); (K.D.); (K.B.); (E.G.-M.)
| | - Koffi Dogno
- Laboratoire Central Vétérinaire de Lomé, 55788 Lomé, Togo; (P.S.P.); (M.K.); (K.D.); (K.B.); (E.G.-M.)
| | - Komla Batawui
- Laboratoire Central Vétérinaire de Lomé, 55788 Lomé, Togo; (P.S.P.); (M.K.); (K.D.); (K.B.); (E.G.-M.)
| | - Emilie Go-Maro
- Laboratoire Central Vétérinaire de Lomé, 55788 Lomé, Togo; (P.S.P.); (M.K.); (K.D.); (K.B.); (E.G.-M.)
| | - Pamela McKenzie
- St Jude Children’s Research Hospital, Memphis, TN 38105, USA; (P.M.); (R.J.W.)
| | - Claire Guinat
- IHAP, UMR1225, Université de Toulouse, INRA, ENVT, 31076 Toulouse, France; (M.F.-B.); (C.G.); (A.S.); (M.P.); (A.W.-S.)
| | - Aurélie Secula
- IHAP, UMR1225, Université de Toulouse, INRA, ENVT, 31076 Toulouse, France; (M.F.-B.); (C.G.); (A.S.); (M.P.); (A.W.-S.)
| | - Mathilde Paul
- IHAP, UMR1225, Université de Toulouse, INRA, ENVT, 31076 Toulouse, France; (M.F.-B.); (C.G.); (A.S.); (M.P.); (A.W.-S.)
| | - Richard J. Webby
- St Jude Children’s Research Hospital, Memphis, TN 38105, USA; (P.M.); (R.J.W.)
| | | | - Agnès Waret-Szkuta
- IHAP, UMR1225, Université de Toulouse, INRA, ENVT, 31076 Toulouse, France; (M.F.-B.); (C.G.); (A.S.); (M.P.); (A.W.-S.)
| | - Mariette F. Ducatez
- IHAP, UMR1225, Université de Toulouse, INRA, ENVT, 31076 Toulouse, France; (M.F.-B.); (C.G.); (A.S.); (M.P.); (A.W.-S.)
- Correspondence:
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