1
|
Novel Therapeutic Nutrients Molecules That Protect against Zika Virus Infection with a Special Note on Palmitoleate. Nutrients 2022; 15:nu15010124. [PMID: 36615782 PMCID: PMC9823984 DOI: 10.3390/nu15010124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/11/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022] Open
Abstract
Zika virus (ZIKV) is a Flavivirus from the Flaviviridae family and a positive-sense single strand RNA virus. ZIKV infection can cause a mild infection to the mother but can be vertically transmitted to the developing fetus, causing congenital anomalies. The prevalence of ZIKV infections was relatively insignificant with sporadic outbreaks in the Asian and African continents until 2006. However, recent epidemic in the Caribbean showed significant increased incidence of Congenital Zika Syndrome. ZIKV infection results in placental pathology which plays a crucial role in disease transmission from mother to fetus. Currently, there is no Food and Drug Administration (FDA) approved vaccine or therapeutic drug against ZIKV. This review article summarizes the recent advances on ZIKV transmission and diagnosis and reviews nutraceuticals which can protect against the ZIKV infection. Further, we have reviewed recent advances related to the novel therapeutic nutrient molecules that have been shown to possess activity against Zika virus infected cells. We also review the mechanism of ZIKV-induced endoplasmic reticulum and apoptosis and the protective role of palmitoleate (nutrient molecule) against ZIKV-induced ER stress and apoptosis in the placental trophoblasts.
Collapse
|
2
|
Stein RA, Grayon A, Katz A, Chervenak FA. The Zika virus: an opportunity to revisit reproductive health needs and disparities. Germs 2022; 12:519-537. [PMID: 38021183 PMCID: PMC10660223 DOI: 10.18683/germs.2022.1357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/24/2022] [Accepted: 12/29/2022] [Indexed: 12/01/2023]
Abstract
First isolated in 1947, the Zika virus was initially connected only to limited or sporadic human infections. In late 2015, the temporal clustering of a Zika outbreak and microcephaly in newborn babies from northeastern Brazil, and the identification of a causal link between the two, led to the characterization of the congenital Zika syndrome. In the wake of the epidemic, several countries from Latin America advised women to postpone pregnancies for periods ranging from six months to two years. These recommendations initiated critical conversations about the challenges of implementing them in societies with limited access to contraception, widespread socioeconomic inequalities, and high rates of unplanned and adolescent pregnancies. The messaging targeted exclusively women, despite a high prevalence of imbalances in the relationship power, and addressed all women as a group, failing to recognize that the decision to postpone pregnancies will impact different women in different ways, depending on their age at the time. Finally, in several countries affected by the Zika epidemic, due to restrictive reproductive policies, legally terminating a pregnancy is no longer an option even at the earliest time when brain malformations as part of the congenital Zika syndrome can be detected by ultrasonography. The virus continued to circulate after 2016 in several countries. Climate change models predict an expansion of the geographical area where local Zika transmission may occur, indicating that the interface between the virus, teratogenesis, and reproductive rights is a topic of considerable interest for medicine, social sciences, and public health for years to come.
Collapse
Affiliation(s)
- Richard A. Stein
- MD, PhD, NYU Tandon School of Engineering, Department of Chemical and Biomolecular Engineering, 6 MetroTech Center, Brooklyn 11201, NY, USA
| | - Alexis Grayon
- NYU Tandon School of Engineering, Department of Chemical and Biomolecular Engineering, 6 MetroTech Center, Brooklyn 11201, NY, USA
| | - Adi Katz
- MD, Department of Obstetrics and Gynecology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra Northwell, 110 E 77th Street, New York, NY, 10075, USA
| | - Frank A. Chervenak
- MD, Department of Obstetrics and Gynecology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra Northwell, 110 E 77th Street, New York, NY, 10075, USA
| |
Collapse
|
3
|
Talbot B, Sander B, Cevallos V, González C, Benítez D, Carissimo C, Carrasquilla Ferro MC, Gauto N, Litwiñiuk S, López K, Ortiz MI, Ponce P, Villota SD, Zelaya F, Espinel M, Wu J, Miretti M, Kulkarni MA. Determinants of Aedes mosquito density as an indicator of arbovirus transmission risk in three sites affected by co-circulation of globally spreading arboviruses in Colombia, Ecuador and Argentina. Parasit Vectors 2021; 14:482. [PMID: 34538276 PMCID: PMC8451087 DOI: 10.1186/s13071-021-04984-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 08/28/2021] [Indexed: 11/10/2022] Open
Abstract
Background The global impact of Zika virus in Latin America has drawn renewed attention to circulating mosquito-borne viruses in this region, such as dengue and chikungunya. Our objective was to assess socio-ecological factors associated with Aedes mosquito vector density as a measure of arbovirus transmission risk in three cities of potentially recent Zika virus introduction: Ibagué, Colombia; Manta, Ecuador; and Posadas, Argentina, in order to inform disease mitigation strategies. Methods We sampled Aedes mosquito populations in a total of 1086 households, using indoor and peridomestic mosquito collection methods, including light traps, resting traps, traps equipped with chemical attractant and aspirators. For each sampled household, we collected socio-economic data using structured questionnaires and data on microenvironmental conditions using iButton data loggers. Results A total of 3230 female Aedes mosquitoes were collected, of which 99.8% were Aedes aegypti and 0.2% were Aedes albopictus. Mean female Aedes mosquito density per household was 1.71 (standard deviation: 2.84). We used mixed-effects generalized linear Poisson regression analyses to identify predictors of Aedes density, using month, neighborhood and country as random-effects variables. Across study sites, the number of household occupants [incidence rate ratio (IRR): 1.08, 95% confidence interval (CI): 1.01–1.14], presence of entry points for mosquitoes into the household (IRR: 1.51, 95% CI: 1.30–1.76) and presence of decorative vegetation (IRR: 1.52, 95% CI: 1.22–1.88) were associated with higher Aedes density; while being in the highest wealth tertile of household wealth (IRR: 0.78, 95% CI: 0.66–0.92), knowledge of how arboviruses are transmitted (IRR: 0.94, 95% CI: 0.89–1.00) and regular emptying of water containers by occupants (IRR: 0.79, 95% CI: 0.67–0.92) were associated with lower Aedes density. Conclusions Our study addresses the complexities of arbovirus vectors of global significance at the interface between human and mosquito populations. Our results point to several predictors of Aedes mosquito vector density in countries with co-circulation of multiple Aedes-borne viruses, and point to modifiable risk factors that may be useful for disease prevention and control. Graphical Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-021-04984-z.
Collapse
Affiliation(s)
- Benoit Talbot
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
| | - Beate Sander
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
| | - Varsovia Cevallos
- Development and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador
| | - Camila González
- Center for Investigation in Tropical Microbiology and Parasitology, Universidad de los Andes, Bogotá, Colombia
| | - Denisse Benítez
- Development and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador
| | - Claudio Carissimo
- Municipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina
| | - María C Carrasquilla Ferro
- Center for Investigation in Tropical Microbiology and Parasitology, Universidad de los Andes, Bogotá, Colombia
| | - Neris Gauto
- Municipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina
| | - Sergio Litwiñiuk
- Group for Investigation in Applied Genetics (GIGA), IBS, UNaM-CONICET, Posadas, Argentina
| | - Karen López
- Municipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina
| | - Mario I Ortiz
- Center for Investigation in Tropical Microbiology and Parasitology, Universidad de los Andes, Bogotá, Colombia
| | - Patricio Ponce
- Development and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador
| | - Stephany D Villota
- Development and Innovation Management Unit (CZ9), Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador
| | - Fabian Zelaya
- Municipal Institute for Surveillance and Control of Vectors, Municipalidad de Posadas, Posadas, Argentina
| | - Mauricio Espinel
- School of Medicine, Universidad Laica Eloy Alfaro de Manabí, Manta, Ecuador
| | - Jianhong Wu
- Department of Mathematics and Statistics, York University, Toronto, ON, Canada
| | - Marcos Miretti
- Group for Investigation in Applied Genetics (GIGA), IBS, UNaM-CONICET, Posadas, Argentina
| | - Manisha A Kulkarni
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| |
Collapse
|
4
|
Hung SJ, Huang SW. Contributions of Genetic Evolution to Zika Virus Emergence. Front Microbiol 2021; 12:655065. [PMID: 34025610 PMCID: PMC8137341 DOI: 10.3389/fmicb.2021.655065] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 04/12/2021] [Indexed: 12/15/2022] Open
Abstract
Mosquito-borne Zika virus (ZIKV) was considered an obscure virus causing only mild or self-limited symptoms until the explosive outbreaks in French Polynesia in 2013–2014 and in the Americas in 2015–2016, resulting in more than 700,000 cases of the disease, with occasional miscarriage and severe congenital birth defects, such as intrauterine growth restriction, fetal microcephaly, and other neurodevelopmental malformations. In this review, we summarized the evolution of ZIKV from a mundane virus to an epidemic virus. ZIKV has acquired a panel of amino acid substitutions during evolution when the virus spread from Africa, Asia, Pacific, through to the Americas. Robust occurrence of mutations in the evolution of ZIKV has increased its epidemic potential. Here we discussed the contributions of these evolutionary mutations to the enhancement of viral pathogenicity and host-mosquito transmission. We further explored the potential hypotheses for the increase in ZIKV activity in recent decades. Through this review, we also explored the hypotheses for the occurrence of the recent ZIKV epidemics and highlighted the potential roles of various factors including pathogen-, host-, vector-related, and environmental factors, which may have synergistically contributed to the ZIKV epidemics.
Collapse
Affiliation(s)
- Su-Jhen Hung
- National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Tainan, Taiwan
| | - Sheng-Wen Huang
- National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Tainan, Taiwan
| |
Collapse
|
5
|
Henderson AD, Kama M, Aubry M, Hue S, Teissier A, Naivalu T, Bechu VD, Kailawadoko J, Rabukawaqa I, Sahukhan A, Hibberd ML, Nilles EJ, Funk S, Whitworth J, Watson CH, Lau CL, Edmunds WJ, Cao-Lormeau VM, Kucharski AJ. Interactions between timing and transmissibility explain diverse flavivirus dynamics in Fiji. Nat Commun 2021; 12:1671. [PMID: 33723237 PMCID: PMC7961049 DOI: 10.1038/s41467-021-21788-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 02/10/2021] [Indexed: 12/14/2022] Open
Abstract
Zika virus (ZIKV) has caused large, brief outbreaks in isolated populations, however ZIKV can also persist at low levels over multiple years. The reasons for these diverse transmission dynamics remain poorly understood. In Fiji, which has experienced multiple large single-season dengue epidemics, there was evidence of multi-year transmission of ZIKV between 2013 and 2017. To identify factors that could explain these differences in dynamics between closely related mosquito-borne flaviviruses, we jointly fit a transmission dynamic model to surveillance, serological and molecular data. We estimate that the observed dynamics of ZIKV were the result of two key factors: strong seasonal effects, which created an ecologically optimal time of year for outbreaks; and introduction of ZIKV after this optimal time, which allowed ZIKV transmission to persist over multiple seasons. The ability to jointly fit to multiple data sources could help identify a similar range of possible outbreak dynamics in other settings.
Collapse
Affiliation(s)
- Alasdair D Henderson
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
| | - Mike Kama
- Fiji Center for Diseases Control, Suva, Fiji
| | - Maite Aubry
- Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Stephane Hue
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Anita Teissier
- Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | | | | | | | | | | | - Martin L Hibberd
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Sebastian Funk
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Jimmy Whitworth
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Conall H Watson
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.,Epidemic Diseases Research Group Oxford, University of Oxford, Oxford, UK
| | - Colleen L Lau
- Research School of Population Health, The Australian National University, Canberra, ACT, Australia
| | - W John Edmunds
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Adam J Kucharski
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| |
Collapse
|
6
|
Wilburn J, O'Connor C, Walsh AL, Morgan D. Identifying potential emerging threats through epidemic intelligence activities-looking for the needle in the haystack? Int J Infect Dis 2019; 89:146-153. [PMID: 31629079 PMCID: PMC7110621 DOI: 10.1016/j.ijid.2019.10.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 10/06/2019] [Accepted: 10/11/2019] [Indexed: 11/26/2022] Open
Abstract
The manual epidemic intelligence system was quick and accurate. All significant alerts were identified first through unofficial sources. The system was adaptable and allowed for monitoring of events as they evolved.
Background Epidemic intelligence (EI) for emerging infections is the process of identifying key information on emerging infectious diseases and specific incidents. Automated web-based infectious disease surveillance technologies are available; however, human input is still needed to review, validate, and interpret these sources. In this study, entries captured by Public Health England’s (PHE) manual event-based EI system were examined to inform future intelligence gathering activities. Methods A descriptive analysis of unique events captured in a database between 2013 and 2017 was conducted. The top five diseases in terms of the number of entries were described in depth to determine the effectiveness of PHE’s EI surveillance system compared to other sources. Results Between 2013 and 2017, a total of 22 847 unique entries were added to the database. The top three initial and definitive information sources varied considerably by disease. Ebola entries dominated the database, making up 23.7% of the total, followed by Zika (11.8%), Middle East respiratory syndrome (6.7%), cholera (5.5%), and yellow fever and undiagnosed morbidity (both 3.3%). Initial reports of major outbreaks due to the top five disease agents were picked up through the manual system prior to being publicly reported by official sources. Conclusions PHE’s manual EI process quickly and accurately detected global public health threats at the earliest stages and allowed for monitoring of events as they evolved.
Collapse
Affiliation(s)
- Jennifer Wilburn
- Public Health England, 61 Colindale Avenue, Colindale, NW9 5EQ, United Kingdom.
| | - Catherine O'Connor
- Public Health England, 61 Colindale Avenue, Colindale, NW9 5EQ, United Kingdom
| | - Amanda L Walsh
- Public Health England, 61 Colindale Avenue, Colindale, NW9 5EQ, United Kingdom
| | - Dilys Morgan
- Public Health England, 61 Colindale Avenue, Colindale, NW9 5EQ, United Kingdom
| |
Collapse
|
7
|
Vieira CJDSP, Machado LC, Pena LJ, de Morais Bronzoni RV, Wallau GL. Spread of two Zika virus lineages in Midwest Brazil. INFECTION GENETICS AND EVOLUTION 2019; 75:103974. [PMID: 31340185 DOI: 10.1016/j.meegid.2019.103974] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 06/26/2019] [Accepted: 07/19/2019] [Indexed: 01/25/2023]
Abstract
Zika virus (ZIKV) has been intensively studied in South America and across the globe since 2015-2016 epidemics. However, in Brazil - the largest and the most affected country in terms of human infection by this virus, most of the viral molecular information is restricted to metropolitan centers distributed along the Brazilian coast and almost no information is known about the virus spread in most difficult access areas such as the Midwest region of the country. Here, we report two ZIKV complete genomes from samples obtained during arboviral surveillance at the Sinop city, southern border of the Amazonian forest, Midwest Brazil in 2015. Our results show that the virus was introduced in this region through two independent introductions: one occurred at the end of 2014, around the period that the virus was already distributed in other regions of the country and abroad, and a second at the end of 2015. Moreover, these genomes were clustered with other viral strains sampled at distant Brazilian states in line with other findings about the rapid spread of the virus throughout the country.
Collapse
Affiliation(s)
| | - Laís Ceschini Machado
- Entomology Department, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife, Pernambuco, Brazil
| | - Lindomar José Pena
- LaVITE - Laboratory of Virology and Experimental Therapy, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife, Pernambuco, Brazil
| | | | - Gabriel Luz Wallau
- Entomology Department, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife, Pernambuco, Brazil.
| |
Collapse
|
8
|
Hu T, Li J, Carr MJ, Duchêne S, Shi W. The Asian Lineage of Zika Virus: Transmission and Evolution in Asia and the Americas. Virol Sin 2019; 34:1-8. [PMID: 30684211 PMCID: PMC6420435 DOI: 10.1007/s12250-018-0078-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 11/28/2018] [Indexed: 11/29/2022] Open
Abstract
Since first isolation in 1947 from the Zika forest in Uganda, Zika virus (ZIKV) has been principally known as a benign agent associated with sporadic human infections in a restricted number of African countries. However, during 2015-2016, an Asian lineage of ZIKV caused an unprecedentedly large outbreak in the Americas and sizeable numbers of exported cases across the globe. In this review, we critically appraise the recent advances in molecular epidemiological studies of ZIKV performed to date, and we highlight the pivotal role played by genomic surveillance in elucidating the origins, dissemination and evolution of the Asian lineage of ZIKV in Asia and in the Americas.
Collapse
Affiliation(s)
- Tao Hu
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Taishan Medical College, Taian, 271000, China
| | - Juan Li
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Taishan Medical College, Taian, 271000, China
| | - Michael J Carr
- Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, 001-0020, Japan.,National Virus Reference Laboratory, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
| | - Sebastián Duchêne
- Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC, 3020, Australia
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Taishan Medical College, Taian, 271000, China.
| |
Collapse
|