1
|
Confirmatory Virucidal Activity of Ionised Active Water S-100® on the SARS-CoV-2 Virus. Adv Virol 2022; 2022:5995775. [PMID: 35756712 PMCID: PMC9232342 DOI: 10.1155/2022/5995775] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/01/2022] [Indexed: 11/17/2022] Open
Abstract
Ionised active water S-100® has been proposed as an original solution for use in dermocosmetics and for the treatment of wounds such as burns and atopic dermatitis. Among the mechanisms of action that are not completely understood, an antimicrobial activity would appear to be important. In the context of the COVID-19 pandemic, we assessed the inactivating efficacy of this solution on SARS-CoV-2 based on the recommendations of the NF-EN-14476+A2 standard. The tests carried out demonstrated that ionised active water S-100® 40% has a virucidal activity on SARS-CoV-2 which is at least 3.1 log after a contact time of 30 seconds and 3.5 log after two minutes at 20°C under clean conditions. Assays were also performed at 4°C and 37°C, and the results obtained are identical to those obtained at 20°C. This demonstration of the virucidal effect of ionised water against SARS-CoV-2 paves the way for the development of usage as an alternative disinfectant in SARS-CoV-2 control.
Collapse
|
2
|
Bobrin VA, Chen SP, Grandes Reyes CF, Sun B, Ng CK, Kim Y, Purcell D, Jia Z, Gu W, Armstrong JW, McAuley J, Monteiro MJ. Water-Borne Nanocoating for Rapid Inactivation of SARS-CoV-2 and Other Viruses. ACS NANO 2021; 15:14915-14927. [PMID: 34423970 PMCID: PMC8409147 DOI: 10.1021/acsnano.1c05075] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/17/2021] [Indexed: 05/07/2023]
Abstract
The rise in coronavirus variants has resulted in surges of the disease across the globe. The mutations in the spike protein on the surface of the virion membrane not only allow for greater transmission but also raise concerns about vaccine effectiveness. Preventing the spread of SARS-CoV-2, its variants, and other viruses from person to person via airborne or surface transmission requires effective inactivation of the virus. Here, we report a water-borne spray-on coating for the complete inactivation of viral particles and degradation of their RNA. Our nanoworms efficiently bind and, through subsequent large nanoscale conformational changes, rupture the viral membrane and subsequently bind and degrade its RNA. Our coating completely inactivated SARS-CoV-2 (VIC01) and an evolved SARS-CoV-2 variant of concern (B.1.1.7 (alpha)), influenza A, and a surrogate capsid pseudovirus expressing the influenza A virus attachment glycoprotein, hemagglutinin. The polygalactose functionality on the nanoworms targets the conserved S2 subunit on the SARS-CoV-2 virion surface spike glycoprotein for stronger binding, and the additional attachment of guanidine groups catalyze the degradation of its RNA genome. Coating surgical masks with our nanoworms resulted in complete inactivation of VIC01 and B.1.1.7, providing a powerful control measure for SARS-CoV-2 and its variants. Inactivation was further observed for the influenza A and an AAV-HA capsid pseudovirus, providing broad viral inactivation when using the nanoworm system. The technology described here represents an environmentally friendly coating with a proposed nanomechanical mechanism for inactivation of both enveloped and capsid viruses. The functional nanoworms can be easily modified to target viruses in future pandemics, and is compatible with large scale manufacturing processes.
Collapse
Affiliation(s)
- Valentin A. Bobrin
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| | - Sung-Po Chen
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| | - Carlos Fitzgerald Grandes Reyes
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| | - Bing Sun
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| | - Chun Ki Ng
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| | - Youry Kim
- Department of Microbiology and Immunology,
The University of Melbourne at the Peter Doherty Institute for Infection
and Immunity, Melbourne 3000, Victoria, Australia
| | - Damian Purcell
- Department of Microbiology and Immunology,
The University of Melbourne at the Peter Doherty Institute for Infection
and Immunity, Melbourne 3000, Victoria, Australia
| | - Zhongfan Jia
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| | - Wenyi Gu
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| | - Jason W. Armstrong
- Boeing Research and Technology
Australia, Level 2, Hawken Building (50), Staff House Road, Brisbane,
Queensland 4072, Australia
| | - Julie McAuley
- Department of Microbiology and Immunology,
The University of Melbourne at the Peter Doherty Institute for Infection
and Immunity, Melbourne 3000, Victoria, Australia
| | - Michael J. Monteiro
- Australian Institute for Bioengineering and
Nanotechnology, The University of Queensland, Brisbane,
Queensland 4072, Australia
| |
Collapse
|
3
|
Fan C, Lee S, Yang Y, Oztekin B, Li Q, Mostafavi A. Effects of population co-location reduction on cross-county transmission risk of COVID-19 in the United States. APPLIED NETWORK SCIENCE 2021; 6:14. [PMID: 33623817 PMCID: PMC7891476 DOI: 10.1007/s41109-021-00361-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 02/03/2021] [Indexed: 05/05/2023]
Abstract
The objective of this study is to examine the transmission risk of COVID-19 based on cross-county population co-location data from Facebook. The rapid spread of COVID-19 in the United States has imposed a major threat to public health, the real economy, and human well-being. With the absence of effective vaccines, the preventive actions of social distancing, travel reduction and stay-at-home orders are recognized as essential non-pharmacologic approaches to control the infection and spatial spread of COVID-19. Prior studies demonstrated that human movement and mobility drove the spatiotemporal distribution of COVID-19 in China. Little is known, however, about the patterns and effects of co-location reduction on cross-county transmission risk of COVID-19. This study utilizes Facebook co-location data for all counties in the United States from March to early May 2020 for conducting spatial network analysis where nodes represent counties and edge weights are associated with the co-location probability of populations of the counties. The analysis examines the synchronicity and time lag between travel reduction and pandemic growth trajectory to evaluate the efficacy of social distancing in ceasing the population co-location probabilities, and subsequently the growth in weekly new cases across counties. The results show that the mitigation effects of co-location reduction appear in the growth of weekly new confirmed cases with one week of delay. The analysis categorizes counties based on the number of confirmed COVID-19 cases and examines co-location patterns within and across groups. Significant segregation is found among different county groups. The results suggest that within-group co-location probabilities (e.g., co-location probabilities among counties with high numbers of cases) remain stable, and social distancing policies primarily resulted in reduced cross-group co-location probabilities (due to travel reduction from counties with large number of cases to counties with low numbers of cases). These findings could have important practical implications for local governments to inform their intervention measures for monitoring and reducing the spread of COVID-19, as well as for adoption in future pandemics. Public policy, economic forecasting, and epidemic modeling need to account for population co-location patterns in evaluating transmission risk of COVID-19 across counties.
Collapse
Affiliation(s)
- Chao Fan
- Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843 USA
| | - Sanghyeon Lee
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843 USA
| | - Yang Yang
- Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843 USA
| | - Bora Oztekin
- Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843 USA
| | - Qingchun Li
- Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843 USA
| | - Ali Mostafavi
- Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843 USA
| |
Collapse
|
4
|
Inactivation of SARS-CoV-2 on surfaces and in solution with Virusend (TX-10), a novel disinfectant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020. [PMID: 33269346 DOI: 10.1101/2020.11.25.394288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Until an effective vaccine against SARS-CoV-2 is available on a widespread scale, the control of the COVID-19 pandemic is reliant upon effective pandemic control measures. The ability of SARS-CoV-2 to remain viable on surfaces and in aerosols, means indirect contact transmission can occur and so there is an opportunity to reduce transmission using effective disinfectants in public and communal spaces. Virusend (TX-10), a novel disinfectant, has been developed as a highly effective disinfectant against a range of microbial agents. Here we investigate the ability of Virusend (TX-10) to inactivation SARS-CoV-2. Using surface and solution inactivation assays, we show that Virusend (TX-10) is able to reduce SARS-CoV-2 viral titre by 4log 10 PFU/mL within 1 minute of contact. Ensuring disinfectants are highly effective against SARS-CoV-2 is important in eliminating environmental sources of the virus to control the COVID-19 pandemic.
Collapse
|
5
|
Gomez LM, Meszaros VA, Turner WC, Ogbunugafor CB. The Epidemiological Signature of Pathogen Populations That Vary in the Relationship between Free-Living Parasite Survival and Virulence. Viruses 2020; 12:E1055. [PMID: 32971954 PMCID: PMC7551987 DOI: 10.3390/v12091055] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 09/16/2020] [Accepted: 09/17/2020] [Indexed: 12/19/2022] Open
Abstract
The relationship between parasite virulence and transmission is a pillar of evolutionary theory that has implications for public health. Part of this canon involves the idea that virulence and free-living survival (a key component of transmission) may have different relationships in different host-parasite systems. Most examinations of the evolution of virulence-transmission relationships-Theoretical or empirical in nature-Tend to focus on the evolution of virulence, with transmission being a secondary consideration. Even within transmission studies, the focus on free-living survival is a smaller subset, though recent studies have examined its importance in the ecology of infectious diseases. Few studies have examined the epidemic-scale consequences of variation in survival across different virulence-survival relationships. In this study, we utilize a mathematical model motivated by aspects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) natural history to investigate how evolutionary changes in survival may influence several aspects of disease dynamics at the epidemiological scale. Across virulence-survival relationships (where these traits are either positively or negatively correlated), we found that small changes (5% above and below the nominal value) in survival can have a meaningful effect on certain outbreak features, including R0, and on the size of the infectious peak in the population. These results highlight the importance of properly understanding the mechanistic relationship between virulence and parasite survival, as the evolution of increased survival across different relationships with virulence may have considerably different epidemiological signatures.
Collapse
Affiliation(s)
- Lourdes M. Gomez
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA;
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA;
| | - Victor A. Meszaros
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA;
| | - Wendy C. Turner
- Department of Biological Sciences, University at Albany–State University of New York, Albany, NY 12222, USA;
| | - C. Brandon Ogbunugafor
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA;
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA;
| |
Collapse
|