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Sievers BL, Siegers JY, Cadènes JM, Hyder S, Sparaciari FE, Claes F, Firth C, Horwood PF, Karlsson EA. "Smart markets": harnessing the potential of new technologies for endemic and emerging infectious disease surveillance in traditional food markets. J Virol 2024; 98:e0168323. [PMID: 38226809 PMCID: PMC10878043 DOI: 10.1128/jvi.01683-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2024] Open
Abstract
Emerging and endemic zoonotic diseases continue to threaten human and animal health, our social fabric, and the global economy. Zoonoses frequently emerge from congregate interfaces where multiple animal species and humans coexist, including farms and markets. Traditional food markets are widespread across the globe and create an interface where domestic and wild animals interact among themselves and with humans, increasing the risk of pathogen spillover. Despite decades of evidence linking markets to disease outbreaks across the world, there remains a striking lack of pathogen surveillance programs that can relay timely, cost-effective, and actionable information to decision-makers to protect human and animal health. However, the strategic incorporation of environmental surveillance systems in markets coupled with novel pathogen detection strategies can create an early warning system capable of alerting us to the risk of outbreaks before they happen. Here, we explore the concept of "smart" markets that utilize continuous surveillance systems to monitor the emergence of zoonotic pathogens with spillover potential.IMPORTANCEFast detection and rapid intervention are crucial to mitigate risks of pathogen emergence, spillover and spread-every second counts. However, comprehensive, active, longitudinal surveillance systems at high-risk interfaces that provide real-time data for action remain lacking. This paper proposes "smart market" systems harnessing cutting-edge tools and a range of sampling techniques, including wastewater and air collection, multiplex assays, and metagenomic sequencing. Coupled with robust response pathways, these systems could better enable Early Warning and bolster prevention efforts.
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Affiliation(s)
- Benjamin L. Sievers
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jurre Y. Siegers
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
| | - Jimmy M. Cadènes
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- Paris Institute of Technology for Life, Food and Environmental Sciences, AgroParisTech, Palaiseau, France
| | - Sudipta Hyder
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- Division of Infectious Disease, Columbia University Irving Medical Center, New York, New York, USA
| | - Frida E. Sparaciari
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
| | - Filip Claes
- Emergency Centre for Transboundary Animal Diseases, Food and Agriculture Organization of the United Nations, Asia Pacific Region, Bangkok, Thailand
- EcoHealth Alliance, New York, New York, USA
| | - Cadhla Firth
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
- EcoHealth Alliance, New York, New York, USA
| | - Paul F. Horwood
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
- CANARIES: Consortium of Animal Networks to Assess Risk of Emerging Infectious Diseases through Enhanced Surveillance
| | - Erik A. Karlsson
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- CANARIES: Consortium of Animal Networks to Assess Risk of Emerging Infectious Diseases through Enhanced Surveillance
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Sarkar I, Sen G, Ajmal Ali M, Musaed Almutairi S, Lee J, Sen A. Detection of the peptidyl epitope for vaccine development against MPV. JOURNAL OF KING SAUD UNIVERSITY. SCIENCE 2023; 35:102458. [PMID: 36466790 PMCID: PMC9683866 DOI: 10.1016/j.jksus.2022.102458] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 05/28/2023]
Abstract
Background Monkeypox Virus (MPV) is the cause of zoonotic disease characterized by skin-eruption with pus cell formation and lymphadenopathy. This virus belongs to the Orthopoxvirus genus with DNA as its genetic material. Previously, this infection was reported from Africa and occasionally from USA and UK. However, recently there is a sudden surge of infection in non-epidemic countries and a new strain of MPVhas been discovered. Therefore it is important to revisit the phylogeny of MPV with the addition of new strains. Recently WHO also stressed the need of developing vaccines for new strains. In this scenario we have two objectives for this study -first, to reveal the exact phylogenetic position of the 2022 strain and second, to identify specific peptides which may be used for vaccine development in the future. Methods The phylogenetic analysis was done with the help of Bayesian phylogeny. The dN/dS calculation was performed based on DNA polymerase genes of selected MPV strains. The peptidyl-epitope was searched in MPV2022/2 SLO strain with the help of several algorithms implemented in Allergen FP v.1.0, NetMHCII 2.3, MHCpred and Toxin Pred. The structure prediction of the proteins and peptides was performed through Hpepdock. The quality of the structures was validated through the Ramachandran plot. The molecular dynamics and simulation were performed through Gromacs software. The interaction between peptide and protein was assessed through Ligplot software. Results The phylogenetic analysis revealed that the considered 2022 MPVstrains were close to the USA strains. The evolutionary analysis showed the volatile nature of the genome. Moreover, 9-mer peptide sequence was identified as an epitope for vaccine development. Conclusions The emergence of more virulent strains in near future may not be ruled out. Immunocompromised patients are more susceptible to this virus hence sub-unit vaccine is a better choice than a recombinant or attenuated vaccine against monkeypox. We have identified a small stretch of specific peptide which may be used for developing a subunit vaccine against this virus.
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Affiliation(s)
- Indrani Sarkar
- Bioinformtics Facility, University of North Bengal, Raja Rammonahpur, Siliguri 734013, India
| | - Gargi Sen
- Bioinformtics Facility, University of North Bengal, Raja Rammonahpur, Siliguri 734013, India
| | - Mohammd Ajmal Ali
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh 11451, Saudi Arabia
| | - Saeedah Musaed Almutairi
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh 11451, Saudi Arabia
| | - Joongku Lee
- Department of Environment and Forest Resources, Chungnam National University, Daejeon, Republic of Korea
| | - Arnab Sen
- Bioinformtics Facility, University of North Bengal, Raja Rammonahpur, Siliguri 734013, India
- Department of Botany, University of North Bengal, Raja Rammonahpur, Siliguri 734013, India
- Biswa Bangla Genome Center, University of North Bengal, Raja Rammonahpur, Siliguri 734013, India
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Shafiee M, Shanbehzadeh M, Kazemi-Arpanahi H. Common data elements and features of brucellosis health information management system. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.100953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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