1
|
Functional Reconstitution of the MERS CoV Receptor Binding Motif. Mol Immunol 2022; 145:3-16. [PMID: 35272105 PMCID: PMC8894742 DOI: 10.1016/j.molimm.2022.03.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 02/14/2022] [Accepted: 03/01/2022] [Indexed: 01/19/2023]
Abstract
In the early 1960’s the first human coronaviruses (designated 229E and OC43) were identified as etiologic agents of the common cold, to be followed by the subsequent isolation of three more human coronaviruses similarly associated with cold-like diseases. In contrast to these “mild” coronaviruses, over the last 20 years there have been three independent events of emergence of pandemic severe and acute life-threatening respiratory diseases caused by three novel beta-coronaviruses, SARS CoV, MERS CoV and most recently SARS CoV2. Whereas the first SARS CoV appeared in November 2002 and spontaneously disappeared by the summer of 2003, MERS CoV has continued persistently to spill over to humans via an intermediary camel vector, causing tens of cases annually. Although human-to-human transmission is rare, the fatality rate of MERS CoV disease is remarkably higher than 30%. COVID-19 however, is fortunately much less fatal, despite that its etiologic agent, SARS CoV2, is tremendously infectious, particularly with the recent evolution of the Omicron variants of concern (BA.1 and BA.2). Of note, MERS CoV prevalence in camel populations in Africa and the Middle East is extremely high. Moreover, MERS CoV and SARS CoV2 co-exist in the Middle East and especially in Saudi Arabia and the UAE, where sporadic incidences of co-infection have already been reported. Co-infection, either due to reverse spill-over of SARS CoV2 to camels or in double infected humans could lead to recombination between the two viruses, rendering either SARS CoV2 more lethal or MERS CoV more transmittable. In an attempt to prepare for what could develop into a catastrophic event, we have focused on developing a novel epitope-based immunogen for MERS CoV. Implementing combinatorial phage-display conformer libraries, the Receptor Binding Motif (RBM) of the MERS CoV Spike protein has been successfully reconstituted and shown to be recognized by a panel of seven neutralizing monoclonal antibodies.
Collapse
|
2
|
Ghosh I, Nadim SS, Chattopadhyay J. Zoonotic MERS-CoV transmission: modeling, backward bifurcation and optimal control analysis. NONLINEAR DYNAMICS 2021; 103:2973-2992. [PMID: 33584009 PMCID: PMC7868678 DOI: 10.1007/s11071-021-06266-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 01/27/2021] [Indexed: 05/08/2023]
Abstract
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) can cause mild to severe acute respiratory illness with a high mortality rate. As of January 2020, more than 2500 cases of MERS-CoV resulting in around 860 deaths were reported globally. In the absence of neither effective treatment nor a ready-to-use vaccine, control measures can be derived from mathematical models of disease epidemiology. In this manuscript, we propose and analyze a compartmental model of zoonotic MERS-CoV transmission with two co-circulating strains. The human population is considered with eight compartments while the zoonotic camel population consist of two compartments. The expression of basic reproduction numbers are obtained for both single strain and two strain version of the proposed model. We show that the disease-free equilibrium of the system with single stain is globally asymptotically stable under some parametric conditions. We also demonstrate that both models undergo backward bifurcation phenomenon, which in turn indicates that only keeping R 0 below unity may not ensure eradication. To the best of the authors knowledge, backward bifurcation was not shown in a MERS-CoV transmission model previously. Further, we perform normalized sensitivity analysis of important model parameters with respect to basic reproduction number of the proposed model. Furthermore, we perform optimal control analysis on different combination interventions with four components namely preventive measures such as use of masks, isolation of strain-1 infected people, strain-2 infected people and infected camels. Optimal control analysis suggests that combination of preventive measures and isolation of infected camels will eventually eradicate the disease from the community.
Collapse
Affiliation(s)
- Indrajit Ghosh
- Department of Computational and Data Sciences, Indian Institute of Science, Bengalore, Karnataka 560012 India
| | - Sk Shahid Nadim
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata, 700 108 India
| | - Joydev Chattopadhyay
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata, 700 108 India
| |
Collapse
|
3
|
Sitawa R, Folorunso F, Obonyo M, Apamaku M, Kiambi S, Gikonyo S, Kiptiness J, Njagi O, Githinji J, Ngoci J, VonDobschuetz S, Morzaria S, Ihab E, Gardner E, Wiersma L, Makonnen Y. Risk factors for serological evidence of MERS-CoV in camels, Kenya, 2016-2017. Prev Vet Med 2020; 185:105197. [PMID: 33186881 PMCID: PMC7605751 DOI: 10.1016/j.prevetmed.2020.105197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 02/08/2023]
Abstract
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is an emerging viral disease and dromedary camels are known to be the source of human spill over events. A cross-sectional epidemiological surveillance study was carried out in Kenya in 2017 to, 1) estimate MERS-CoV antibody seropositivity in the camel-dense counties of Turkana, Marsabit, Isiolo, Laikipia and Nakuru to identify, and 2) determine the risk factors associated with seropositivity in camels. Blood samples were collected from a total of 1421 camels selected using a multi-stage sampling method. Data were also collected from camel owners or herders using a pre-tested structured questionnaire. The sera from camel samples were tested for the presence of circulating antibodies to MERS-CoV using the anti-MERS-CoV IgG ELISA test. Univariate and multivariable statistical analysis were used to investigate factors potentially associated with MERS-CoV seropositivity in camels. The overall seropositivity in camel sera was 62.9 %, with the highest seropositivity recorded in Isiolo County (77.7 %), and the lowest seropositivity recorded in Nakuru County (14.0 %). When risk factors for seropositivity were assessed, the "Type of camel production system" {(aOR = 5.40(95 %CI: 1.67-17.49)}, "Age between 1-2 years, 2-3 years and above 3 years" {(aOR = 1.64 (95 %CI: 1.04-2.59}", {(aOR = 3.27 (95 %CI: 3.66-5.61)}" and {(aOR = 6.12 (95 %CI: 4.04-9.30)} respectively and "Sex of camels" {(aOR = 1.75 (95 %CI: 1.27-2.41)} were identified as significant predictors of MERS-CoV seropositivity. Our studies indicate a high level of seropositivity to MERS-CoV in camels in the counties surveyed, and highlights the important risk factors associated with MERS-CoV seropositivity in camels. Given that MERS-CoV is a zoonosis, and Kenya possesses the fourth largest camel population in Africa, these findings are important to inform the development of efficient and risk-based prevention and mitigation strategies against MERS-CoV transmission to humans.
Collapse
Affiliation(s)
- Rinah Sitawa
- Food and Agriculture Organization of the United Nations (FAO), Kenya.
| | - Fasina Folorunso
- Food and Agriculture Organization of the United Nations (FAO), Tanzania
| | - Mark Obonyo
- Food and Agriculture Organization of the United Nations (FAO), Kenya
| | - Michael Apamaku
- Food and Agriculture Organization of the United Nations (FAO), Kenya
| | - Stella Kiambi
- Food and Agriculture Organization of the United Nations (FAO), Kenya
| | - Stephen Gikonyo
- Food and Agriculture Organization of the United Nations (FAO), Kenya
| | - Joshua Kiptiness
- Food and Agriculture Organization of the United Nations (FAO), Kenya
| | - Obadiah Njagi
- Ministry of Agriculture, Livestock, Fisheries and Irrigation, Kenya
| | - Jane Githinji
- Ministry of Agriculture, Livestock, Fisheries and Irrigation, Kenya
| | - James Ngoci
- Ministry of Agriculture, Livestock, Fisheries and Irrigation, Kenya
| | | | - Subhash Morzaria
- Food and Agriculture Organization of the United Nations (FAO), Rome, Italy
| | - ElMasry Ihab
- Food and Agriculture Organization of the United Nations (FAO), Rome, Italy
| | - Emma Gardner
- Food and Agriculture Organization of the United Nations (FAO), Rome, Italy
| | - Lidewij Wiersma
- Food and Agriculture Organization of the United Nations (FAO), Rome, Italy
| | - Yilma Makonnen
- Food and Agriculture Organization of the United Nations (FAO), Rome, Italy
| |
Collapse
|
4
|
Zwart H. Emerging viral threats and the simultaneity of the non-simultaneous: zooming out in times of Corona. MEDICINE, HEALTH CARE, AND PHILOSOPHY 2020; 23:589-602. [PMID: 32737743 PMCID: PMC7394271 DOI: 10.1007/s11019-020-09970-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
This paper addresses global bioethical challenges entailed in emerging viral diseases, focussing on their socio-cultural dimension and seeing them as symptomatic of the current era of globalisation. Emerging viral threats exemplify the extent to which humans evolved into a global species, with a pervasive and irreversible impact on the planetary ecosystem. To effectively address these disruptive threats, an attitude of preparedness seems called for, not only on the viroscientific, but also on bioethical, regulatory and governance levels. This paper analyses the global bioethical challenges of emerging viral threats from a dialectical materialist (Marxist) perspective, focussing on three collisions: (1) the collision of expanding networks of globalisation with local husbandry practices; (2) the collision of global networks of mobility with disrupted ecosystems; and (3) the collision of viroscience as a globalised research field with existing regulatory frameworks. These collisions emerge in a force field defined by the simultaneity of the non-simultaneous. Evidence-based health policies invoke discontent as they reflect the normative logic of a globalised knowledge regime. The development of a global bioethics or macro-ethics requires us to envision these collisions not primarily as issues of benefits and risks, but first and foremost as normative tensions closely entangled with broader socio-economic and socio-cultural developments.
Collapse
Affiliation(s)
- Hub Zwart
- Dean Erasmus School of Philosophy, Erasmus University Rotterdam, Bayle Building/Room J5-65/Burgemeester Oudlaan 50, 3062 PA, Rotterdam, The Netherlands.
| |
Collapse
|
5
|
The Middle East respiratory syndrome coronavirus in the breath of some infected dromedary camels ( Camelus dromedarius). Epidemiol Infect 2020; 148:e247. [PMID: 33050973 PMCID: PMC7588717 DOI: 10.1017/s0950268820002459] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Dromedary camels remain the currently identified reservoir for the Middle East respiratory syndrome coronavirus (MERS-CoV). The virus is released in the secretions of the infected camels, especially the nasal tract. The virus shedding curve through the nasal secretions was studied. Although human transmission of the virus through the respiratory tract of close contact people with dromedary reported previously, the exact mechanism of transmission is still largely unknown. The main goal of this study was to check the possibility of MERS-CoV shedding in the exhaled air of the infected camels. To achieve this goal, we conducted a follow-up study in one of the dromedary camel herds, December 2018–April 2019. We tested nasal swabs, breath samples from animals within this herd by the real-time PCR. Our results showed that some of the tested nasal swabs and breath were positive from 24 March 2019 until 7 April 2019. The phylogenetic analysis of the obtained S and N gene sequences revealed the detected viruses are clustering together with some human and camel samples from the eastern region, especially from Al-Hufuf city, as well as some samples from Qatar and Jordon. These results are clearly showing the possibility of shedding of the virus in the breath of the infected camels. This could explain, at least in part, the mechanism of transmission of MERS-CoV from animals to humans. This study is confirming the shedding of MERS-CoV in the exhaled air of the infected camels. Further studies are needed for a better understanding of the MERS-CoV.
Collapse
|
6
|
Thompson RN, Stockwin JE, van Gaalen RD, Polonsky JA, Kamvar ZN, Demarsh PA, Dahlqwist E, Li S, Miguel E, Jombart T, Lessler J, Cauchemez S, Cori A. Improved inference of time-varying reproduction numbers during infectious disease outbreaks. Epidemics 2019; 29:100356. [PMID: 31624039 PMCID: PMC7105007 DOI: 10.1016/j.epidem.2019.100356] [Citation(s) in RCA: 238] [Impact Index Per Article: 47.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 07/15/2019] [Accepted: 07/16/2019] [Indexed: 02/07/2023] Open
Abstract
Accurate estimation of the parameters characterising infectious disease transmission is vital for optimising control interventions during epidemics. A valuable metric for assessing the current threat posed by an outbreak is the time-dependent reproduction number, i.e. the expected number of secondary cases caused by each infected individual. This quantity can be estimated using data on the numbers of observed new cases at successive times during an epidemic and the distribution of the serial interval (the time between symptomatic cases in a transmission chain). Some methods for estimating the reproduction number rely on pre-existing estimates of the serial interval distribution and assume that the entire outbreak is driven by local transmission. Here we show that accurate inference of current transmissibility, and the uncertainty associated with this estimate, requires: (i) up-to-date observations of the serial interval to be included, and; (ii) cases arising from local transmission to be distinguished from those imported from elsewhere. We demonstrate how pathogen transmissibility can be inferred appropriately using datasets from outbreaks of H1N1 influenza, Ebola virus disease and Middle-East Respiratory Syndrome. We present a tool for estimating the reproduction number in real-time during infectious disease outbreaks accurately, which is available as an R software package (EpiEstim 2.2). It is also accessible as an interactive, user-friendly online interface (EpiEstim App), permitting its use by non-specialists. Our tool is easy to apply for assessing the transmission potential, and hence informing control, during future outbreaks of a wide range of invading pathogens.
Collapse
Affiliation(s)
- R N Thompson
- Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK; Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK; Christ Church, University of Oxford, St Aldates, Oxford OX1 1DP, UK.
| | - J E Stockwin
- Lady Margaret Hall, University of Oxford, Norham Gardens, Oxford OX2 6QA, UK
| | - R D van Gaalen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, the Netherlands
| | - J A Polonsky
- World Health Organization, Avenue Appia, Geneva 1202, Switzerland; Faculty of Medicine, University of Geneva, 1 Rue Michel-Servet, Geneva 1211, Switzerland
| | - Z N Kamvar
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, Faculty of Medicine, London W2 1PG, UK
| | - P A Demarsh
- The Surveillance Lab, McGill University, 1140 Pine Avenue West, Montreal H3A 1A3, Canada; Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, 130 Colonnade Road, Ottawa, Ontario, K1A 0K9, Canada
| | - E Dahlqwist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - S Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - E Miguel
- MIVEGEC, IRD, University of Montpellier, CNRS, Montpellier, France
| | - T Jombart
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, Faculty of Medicine, London W2 1PG, UK; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - J Lessler
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - S Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris 75015, France
| | - A Cori
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, Faculty of Medicine, London W2 1PG, UK
| |
Collapse
|
7
|
Thompson RN, Stockwin JE, van Gaalen RD, Polonsky JA, Kamvar ZN, Demarsh PA, Dahlqwist E, Li S, Miguel E, Jombart T, Lessler J, Cauchemez S, Cori A. Improved inference of time-varying reproduction numbers during infectious disease outbreaks. Epidemics 2019. [PMID: 31624039 DOI: 10.5281/zenodo.3685977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2023] Open
Abstract
Accurate estimation of the parameters characterising infectious disease transmission is vital for optimising control interventions during epidemics. A valuable metric for assessing the current threat posed by an outbreak is the time-dependent reproduction number, i.e. the expected number of secondary cases caused by each infected individual. This quantity can be estimated using data on the numbers of observed new cases at successive times during an epidemic and the distribution of the serial interval (the time between symptomatic cases in a transmission chain). Some methods for estimating the reproduction number rely on pre-existing estimates of the serial interval distribution and assume that the entire outbreak is driven by local transmission. Here we show that accurate inference of current transmissibility, and the uncertainty associated with this estimate, requires: (i) up-to-date observations of the serial interval to be included, and; (ii) cases arising from local transmission to be distinguished from those imported from elsewhere. We demonstrate how pathogen transmissibility can be inferred appropriately using datasets from outbreaks of H1N1 influenza, Ebola virus disease and Middle-East Respiratory Syndrome. We present a tool for estimating the reproduction number in real-time during infectious disease outbreaks accurately, which is available as an R software package (EpiEstim 2.2). It is also accessible as an interactive, user-friendly online interface (EpiEstim App), permitting its use by non-specialists. Our tool is easy to apply for assessing the transmission potential, and hence informing control, during future outbreaks of a wide range of invading pathogens.
Collapse
Affiliation(s)
- R N Thompson
- Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK; Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK; Christ Church, University of Oxford, St Aldates, Oxford OX1 1DP, UK.
| | - J E Stockwin
- Lady Margaret Hall, University of Oxford, Norham Gardens, Oxford OX2 6QA, UK
| | - R D van Gaalen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, the Netherlands
| | - J A Polonsky
- World Health Organization, Avenue Appia, Geneva 1202, Switzerland; Faculty of Medicine, University of Geneva, 1 Rue Michel-Servet, Geneva 1211, Switzerland
| | - Z N Kamvar
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, Faculty of Medicine, London W2 1PG, UK
| | - P A Demarsh
- The Surveillance Lab, McGill University, 1140 Pine Avenue West, Montreal H3A 1A3, Canada; Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, 130 Colonnade Road, Ottawa, Ontario, K1A 0K9, Canada
| | - E Dahlqwist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - S Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - E Miguel
- MIVEGEC, IRD, University of Montpellier, CNRS, Montpellier, France
| | - T Jombart
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, Faculty of Medicine, London W2 1PG, UK; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - J Lessler
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - S Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris 75015, France
| | - A Cori
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, Faculty of Medicine, London W2 1PG, UK
| |
Collapse
|
8
|
Some One Health based control strategies for the Middle East respiratory syndrome coronavirus. One Health 2019; 8:100102. [PMID: 31485476 PMCID: PMC6715958 DOI: 10.1016/j.onehlt.2019.100102] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 08/19/2019] [Accepted: 08/19/2019] [Indexed: 02/08/2023] Open
Abstract
The Middle East respiratory syndrome coronavirus (MERS-CoV) presents an ideal example for developing One Health concepts. Dromedary camels are the principal reservoir for the virus. Infected camels shed the virus in body secretions, particularly nasal discharges. MERS-CoV has the potential to remain active in the environment for some time under optimum conditions of temperature and humidity. This shedding sustains the virus in endemic communities and thus contact with camels is considered a major risk factor for human infection. Reducing virus shedding from camels will have a great positive impact on reducing the human risk of infection. Our main objective is to highlight the potential aspects of reducing virus shedding from camels to the environment, thereby reducing the possibility of human infection. We will focus on the potential roles of camel markets, camel shows, importation, transportation and grazing in the amplification and shedding of the virus, providing some novel concepts for the control approaches for the MERS-CoV.
Collapse
|
9
|
Zhu S, Zimmerman D, Deem SL. A Review of Zoonotic Pathogens of Dromedary Camels. ECOHEALTH 2019; 16:356-377. [PMID: 31140075 PMCID: PMC7087575 DOI: 10.1007/s10393-019-01413-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 03/12/2019] [Accepted: 03/12/2019] [Indexed: 06/09/2023]
Abstract
Dromedary, or one-humped, camels Camelus dromedarius are an almost exclusively domesticated species that are common in arid areas as both beasts of burden and production animals for meat and milk. Currently, there are approximately 30 million dromedary camels, with highest numbers in Africa and the Middle East. The hardiness of camels in arid regions has made humans more dependent on them, especially as a stable protein source. Camels also carry and may transmit disease-causing agents to humans and other animals. The ability for camels to act as a point source or vector for disease is a concern due to increasing human demands for meat, lack of biosafety and biosecurity protocols in many regions, and a growth in the interface with wildlife as camel herds become sympatric with non-domestic species. We conducted a literature review of camel-borne zoonotic diseases and found that the majority of publications (65%) focused on Middle East respiratory syndrome (MERS), brucellosis, Echinococcus granulosus, and Rift Valley fever. The high fatality from MERS outbreaks during 2012-2016 elicited an immediate response from the research community as demonstrated by a surge of MERS-related publications. However, we contend that other camel-borne diseases such as Yersinia pestis, Coxiella burnetii, and Crimean-Congo hemorrhagic fever are just as important to include in surveillance efforts. Camel populations, particularly in sub-Saharan Africa, are increasing exponentially in response to prolonged droughts, and thus, the risk of zoonoses increases as well. In this review, we provide an overview of the major zoonotic diseases present in dromedary camels, their risk to humans, and recommendations to minimize spillover events.
Collapse
Affiliation(s)
- Sophie Zhu
- Graduate Group in Epidemiology, University of California, Davis, CA, 95616, USA.
| | - Dawn Zimmerman
- Global Health Program, Smithsonian Conservation Biology Institute, Washington, DC, 20008, USA
| | - Sharon L Deem
- Institute for Conservation Medicine, Saint Louis Zoo, Saint Louis, MO, 63110, USA
| |
Collapse
|
10
|
Ramadan N, Shaib H. Middle East respiratory syndrome coronavirus (MERS-CoV): A review. Germs 2019; 9:35-42. [PMID: 31119115 DOI: 10.18683/germs.2019.1155] [Citation(s) in RCA: 156] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 01/08/2019] [Accepted: 01/26/2019] [Indexed: 12/31/2022]
Abstract
As a novel coronavirus first reported by Saudi Arabia in 2012, the Middle East respiratory syndrome coronavirus (MERS-CoV) is responsible for an acute human respiratory syndrome. The virus, of 2C beta-CoV lineage, expresses the dipeptidyl peptidase 4 (DPP4) receptor and is densely endemic in dromedary camels of East Africa and the Arabian Peninsula. MERS-CoV is zoonotic but human-to-human transmission is also possible. Surveillance and phylogenetic researches indicate MERS-CoV to be closely associated with bats' coronaviruses, suggesting bats as reservoirs, although unconfirmed. With no vaccine currently available for MERS-CoV nor approved prophylactics, its global spread to over 25 countries with high fatalities highlights its role as ongoing public health threat. An articulated action plan ought to be taken, preferably from a One Health perspective, for appropriately advanced countermeasures against MERS-CoV.
Collapse
Affiliation(s)
- Nour Ramadan
- MSc, Department of Agriculture, Faculty of Agricultural and Food Sciences (FAFS), American University of Beirut (AUB), Riad El Solh 1107-2020, PO Box 11-0236, Beirut, Lebanon
| | - Houssam Shaib
- PhD, Department of Agriculture, Faculty of Agricultural and Food Sciences (FAFS), American University of Beirut (AUB), Riad El Solh 1107-2020, PO Box 11-0236, Beirut, Lebanon
| |
Collapse
|
11
|
Baharoon S, Memish ZA. MERS-CoV as an emerging respiratory illness: A review of prevention methods. Travel Med Infect Dis 2019; 32:101520. [PMID: 31730910 PMCID: PMC7110694 DOI: 10.1016/j.tmaid.2019.101520] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 11/10/2019] [Accepted: 11/11/2019] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Middle East Respiratory Coronavirus Virus (MERS-CoV) first emerged from Saudi Arabia in 2012 and has since been recognized as a significant human respiratory pathogen on a global level. METHODS In this narrative review, we focus on the prevention of MERS-CoV. We searched PubMed, Embase, Cochrane, Scopus, and Google Scholar, using the following terms: 'MERS', 'MERS-CoV', 'Middle East respiratory syndrome' in combination with 'prevention' or 'infection control'. We also reviewed the references of each article to further include other studies or reports not identified by the search. RESULTS As of Nov 2019, a total of 2468 laboratory-confirmed cases of MERS-CoV were diagnosed mostly from Middle Eastern regions with a mortality rate of at least 35%. A major outbreak that occurred outside the Middle East (in South Korea) and infections reported from 27 countries. MERS-CoV has gained recognition as a pathogen of global significance. Prevention of MERS-CoV infection is a global public health priority. Healthcare facility transmission and by extension community transmission, the main amplifier of persistent outbreaks, can be prevented through early identification and isolation of infected humans. While MERS-CoV vaccine studies were initially hindered by multiple challenges, recent vaccine development for MERS-CoV is showing promise. CONCLUSIONS The main factors leading to sustainability of MERS-CoV infection in high risk courtiers is healthcare facility transmission. MERS-CoV transmission in healthcare facility mainly results from laps in infection control measures and late isolation of suspected cases. Preventive measures for MERS-CoV include disease control in camels, prevention of camel to human transmission.
Collapse
Affiliation(s)
- Salim Baharoon
- Infectious Disease Division, Department of Internal Medicine, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia,Department of Critical Care, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia,Professor of Critical Care, King Saud Bin Abdulaziz University for Health Science, Riyadh, Saudi Arabia
| | - Ziad A. Memish
- Infectious Diseases Division, Department of Medicine and Research Department, Prince Mohamed Bin Abdulaziz Hospital, Ministry of Health, Riyadh, Saudi Arabia,College of Medicine, Alfaisal University, Riyadh, Saudi Arabia,Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA,Corresponding author. College of Medicine, Alfaisal University, P.O. Box 54146, Riyadh, 11514, Saudi Arabia
| |
Collapse
|
12
|
Practical Guidance for Clinical Microbiology Laboratories: Viruses Causing Acute Respiratory Tract Infections. Clin Microbiol Rev 2018; 32:32/1/e00042-18. [PMID: 30541871 DOI: 10.1128/cmr.00042-18] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Respiratory viral infections are associated with a wide range of acute syndromes and infectious disease processes in children and adults worldwide. Many viruses are implicated in these infections, and these viruses are spread largely via respiratory means between humans but also occasionally from animals to humans. This article is an American Society for Microbiology (ASM)-sponsored Practical Guidance for Clinical Microbiology (PGCM) document identifying best practices for diagnosis and characterization of viruses that cause acute respiratory infections and replaces the most recent prior version of the ASM-sponsored Cumitech 21 document, Laboratory Diagnosis of Viral Respiratory Disease, published in 1986. The scope of the original document was quite broad, with an emphasis on clinical diagnosis of a wide variety of infectious agents and laboratory focus on antigen detection and viral culture. The new PGCM document is designed to be used by laboratorians in a wide variety of diagnostic and public health microbiology/virology laboratory settings worldwide. The article provides guidance to a rapidly changing field of diagnostics and outlines the epidemiology and clinical impact of acute respiratory viral infections, including preferred methods of specimen collection and current methods for diagnosis and characterization of viral pathogens causing acute respiratory tract infections. Compared to the case in 1986, molecular techniques are now the preferred diagnostic approaches for the detection of acute respiratory viruses, and they allow for automation, high-throughput workflows, and near-patient testing. These changes require quality assurance programs to prevent laboratory contamination as well as strong preanalytical screening approaches to utilize laboratory resources appropriately. Appropriate guidance from laboratorians to stakeholders will allow for appropriate specimen collection, as well as correct test ordering that will quickly identify highly transmissible emerging pathogens.
Collapse
|
13
|
Gebru M, Tefera G, Dawo F, Tessema TS. Aerobic bacteriological studies on the respiratory tracts of apparently healthy and pneumonic camels (Camelus dromedaries) in selected districts of Afar Region, Ethiopia. Trop Anim Health Prod 2018; 50:603-611. [PMID: 29147933 PMCID: PMC7089579 DOI: 10.1007/s11250-017-1476-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 11/09/2017] [Indexed: 11/01/2022]
Abstract
A cross-sectional study was conducted to isolate and identify bacterial species from the respiratory tract of apparently healthy and pneumonic camels in Asayita and Dubti woredas in the Afar Region, Ethiopia. From a total of 74 lung tissue and 74 tracheal swab samples Staphylococcus aureus, 16.3%, Streptococcus equi subsp. equi, 13.0%, and Pasteurella multocida, 10.9%, were dominant isolates from pneumonic lungs; Escherichia coli, 12.7%, Proteus species, 10.9%, and Klebsiella pneumoniae, 9.1%, were the majority in the normal lungs. The majority of the isolates colonized both anatomical sites investigated. There was a statistically significant association between the health status of the camels as well as the anatomical site studied with the isolation rates of the major respiratory pathogens (p < 0.05). Furthermore, the isolates were susceptible to norfloxacin, streptomycin, and gentamicin but resistant to ampicillin and tetracycline on in vitro test. Further studies on the pathogenicity of the major isolates are recommended.
Collapse
Affiliation(s)
- Mu'uz Gebru
- School of Veterinary Medicine, Semera University, P.O. Box 132, Semera, Ethiopia
| | - Genene Tefera
- Institute of Biodiversity Conservation, P.O. Box 30726, Addis Ababa, Ethiopia
| | - Fufa Dawo
- College of Veterinary Medicine Agriculture, Addis Ababa University, P.O. Box 34, Debre Zeit, Ethiopia
| | - Tesfaye Sisay Tessema
- Institute of Biotechnology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
| |
Collapse
|
14
|
Abstract
INTRODUCTION In the past five years, there have been 1,936 laboratory-confirmed cases of Middle East Respiratory Syndrome coronavirus (MERS-CoV) in 27 countries, with a mortality rate of 35.6%. Most cases have arisen in the Middle East, particularly the Kingdom of Saudi Arabia, however there was a large hospital-associated outbreak in the Republic of Korea in 2015. Exposure to dromedary camels has been recognized by the World Health Organization (WHO) as a risk factor in primary cases, but the exact mechanisms of transmission are not clear. Rigorous application of nationally defined infection prevention and control measures has reduced the levels of healthcare facility-associated outbreaks. There is currently no approved specific therapy or vaccine available. Areas covered: This review presents an overview of MERS-CoV within the last five years, with a particular emphasis on the key areas of transmission, infection control and prevention, and therapies and vaccines. Expert commentary: MERS-CoV remains a significant threat to public health as transmission mechanisms are still not completely understood. There is the potential for mutations that could increase viral transmission and/or virulence, and zoonotic host range. The high mortality rate highlights the need to expedite well-designed randomized clinical trials for direct, effective therapies and vaccines.
Collapse
Affiliation(s)
- Ali A Rabaan
- a Molecular Diagnostic Laboratory , Johns Hopkins Aramco Healthcare , Dhahran , Saudi Arabia
| |
Collapse
|
15
|
Alharbi NK, Padron-Regalado E, Thompson CP, Kupke A, Wells D, Sloan MA, Grehan K, Temperton N, Lambe T, Warimwe G, Becker S, Hill AVS, Gilbert SC. ChAdOx1 and MVA based vaccine candidates against MERS-CoV elicit neutralising antibodies and cellular immune responses in mice. Vaccine 2017; 35:3780-3788. [PMID: 28579232 PMCID: PMC5516308 DOI: 10.1016/j.vaccine.2017.05.032] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 04/30/2017] [Accepted: 05/10/2017] [Indexed: 01/28/2023]
Abstract
Inserting tPA leader sequence enhanced humoral responses of ChAdOx1 MERS. ChAdOx1 MERS elicited cellular immunity and neutralising antibodies. ChAdOx1 MERS responses were boosted by MVA MERS. Immunogenicity of a single dose of ChAdOx1 MERS was equivalent to 2 doses of MVA MERS. In MVA, F11 promoter enhanced cellular, but not humoral, immunogenicity, comparing to mH5 promoter.
The Middle East respiratory syndrome coronavirus (MERS-CoV) has infected more than 1900 humans, since 2012. The syndrome ranges from asymptomatic and mild cases to severe pneumonia and death. The virus is believed to be circulating in dromedary camels without notable symptoms since the 1980s. Therefore, dromedary camels are considered the only animal source of infection. Neither antiviral drugs nor vaccines are approved for veterinary or medical use despite active research on this area. Here, we developed four vaccine candidates against MERS-CoV based on ChAdOx1 and MVA viral vectors, two candidates per vector. All vaccines contained the full-length spike gene of MERS-CoV; ChAdOx1 MERS vaccines were produced with or without the leader sequence of the human tissue plasminogen activator gene (tPA) where MVA MERS vaccines were produced with tPA, but either the mH5 or F11 promoter driving expression of the spike gene. All vaccine candidates were evaluated in a mouse model in prime only or prime-boost regimens. ChAdOx1 MERS with tPA induced higher neutralising antibodies than ChAdOx1 MERS without tPA. A single dose of ChAdOx1 MERS with tPA elicited cellular immune responses as well as neutralising antibodies that were boosted to a significantly higher level by MVA MERS. The humoral immunogenicity of a single dose of ChAdOx1 MERS with tPA was equivalent to two doses of MVA MERS (also with tPA). MVA MERS with mH5 or F11 promoter induced similar antibody levels; however, F11 promoter enhanced the cellular immunogenicity of MVA MERS to significantly higher magnitudes. In conclusion, our study showed that MERS-CoV vaccine candidates could be optimized by utilising different viral vectors, various genetic designs of the vectors, or different regimens to increase immunogenicity. ChAdOx1 and MVA vectored vaccines have been safely evaluated in camels and humans and these MERS vaccine candidates should now be tested in camels and in clinical trials.
Collapse
Affiliation(s)
- Naif Khalaf Alharbi
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
| | | | - Craig P Thompson
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK; Department of Zoology, University of Oxford, Oxford, UK
| | - Alexandra Kupke
- Institute of Virology, Philipps University of Marburg, Marburg, Germany; German Center for Infection Research, TTU Emerging Infections, Germany
| | - Daniel Wells
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK
| | - Megan A Sloan
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK
| | - Keith Grehan
- Viral Pseudotype Unit, School of Pharmacy, University of Kent, Chatham Maritime, Kent ME4 4TB, UK
| | - Nigel Temperton
- Viral Pseudotype Unit, School of Pharmacy, University of Kent, Chatham Maritime, Kent ME4 4TB, UK
| | - Teresa Lambe
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK
| | - George Warimwe
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK
| | - Stephan Becker
- Institute of Virology, Philipps University of Marburg, Marburg, Germany; German Center for Infection Research, TTU Emerging Infections, Germany
| | - Adrian V S Hill
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK
| | - Sarah C Gilbert
- The Jenner Institute, University of Oxford, Oxford OX3 7DQ, UK
| |
Collapse
|
16
|
Nieuwenhuijse DF, Koopmans MPG. Metagenomic Sequencing for Surveillance of Food- and Waterborne Viral Diseases. Front Microbiol 2017; 8:230. [PMID: 28261185 PMCID: PMC5309255 DOI: 10.3389/fmicb.2017.00230] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 02/01/2017] [Indexed: 12/25/2022] Open
Abstract
A plethora of viruses can be transmitted by the food- and waterborne route. However, their recognition is challenging because of the variety of viruses, heterogeneity of symptoms, the lack of awareness of clinicians, and limited surveillance efforts. Classical food- and waterborne viral disease outbreaks are mainly caused by caliciviruses, but the source of the virus is often not known and the foodborne mode of transmission is difficult to discriminate from human-to-human transmission. Atypical food- and waterborne viral disease can be caused by viruses such as hepatitis A and hepatitis E. In addition, a source of novel emerging viruses with a potential to spread via the food- and waterborne route is the repeated interaction of humans with wildlife. Wildlife-to-human adaptation may give rise to self- limiting outbreaks in some cases, but when fully adjusted to the human host can be devastating. Metagenomic sequencing has been investigated as a promising solution for surveillance purposes as it detects all viruses in a single protocol, delivers additional genomic information for outbreak tracing, and detects novel unknown viruses. Nevertheless, several issues must be addressed to apply metagenomic sequencing in surveillance. First, sample preparation is difficult since the genomic material of viruses is generally overshadowed by host- and bacterial genomes. Second, several data analysis issues hamper the efficient, robust, and automated processing of metagenomic data. Third, interpretation of metagenomic data is hard, because of the lack of general knowledge of the virome in the food chain and the environment. Further developments in virus-specific nucleic acid extraction methods, bioinformatic data processing applications, and unifying data visualization tools are needed to gain insightful surveillance knowledge from suspect food samples.
Collapse
|