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Bansal A. From rejection to the Nobel Prize: Karikó and Weissman's pioneering work on mRNA vaccines, and the need for diversity and inclusion in translational immunology. Front Immunol 2023; 14:1306025. [PMID: 38022662 PMCID: PMC10663363 DOI: 10.3389/fimmu.2023.1306025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Katalin Karikó and Drew Weissman were given the 2023 Nobel Prize in Physiology or Medicine for their findings of nucleoside base modifications that lead to the development of effective mRNA vaccines against COVID-19. This was a remarkable achievement, given that their initial manuscript was rejected by Nature and Science in 2005. The development of mRNA vaccines lagged for more than a decade for several reasons, including the lack of funding, the perceived risks of the technology, and the scepticism of many scientists. Furthermore, Karikó and Weissman's study appeared to be technical and difficult to understand. The COVID-19 pandemic, on the other hand, has shown the importance of mRNA vaccine technology. COVID-19 mRNA vaccines have been highly effective in preventing serious illness, hospitalization, and death. The Nobel Prize for Karikó and Weissman highlights the importance of perseverance, diversity, and inclusion in translational immunology. We need to build a more inclusive scientific community, where scientists from all backgrounds are supported and their work is valued. This will result in more scientific breakthroughs and better healthcare for everyone.
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Affiliation(s)
- Amit Bansal
- Bergen COVID-19 Research Group and Influenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
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López-Peñalver RS, Cañas-Cañas R, Casaña-Mohedo J, Benavent-Cervera JV, Fernández-Garrido J, Juárez-Vela R, Pellín-Carcelén A, Gea-Caballero V, Andreu-Fernández V. Predictive potential of SARS-CoV-2 RNA concentration in wastewater to assess the dynamics of COVID-19 clinical outcomes and infections. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 886:163935. [PMID: 37164095 PMCID: PMC10164651 DOI: 10.1016/j.scitotenv.2023.163935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/27/2023] [Accepted: 04/30/2023] [Indexed: 05/12/2023]
Abstract
Coronavirus disease 2019 - caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) -, has triggered a worldwide pandemic resulting in 665 million infections and over 6.5 million deaths as of December 15, 2022. The development of different epidemiological tools have helped predict new outbreaks and assess the behavior of clinical variables in different health contexts. In this study, we aimed to monitor concentrations of SARS-CoV-2 in wastewater as a tool to predict the progression of clinical variables during Waves 3, 5, and 6 of the pandemic in the Spanish city of Xátiva from September 2020 to March 2022. We estimated SARS-CoV-2 RNA concentrations in 195 wastewater samples using the RT-PCR Diagnostic Panel validated by the Center for Disease Control and Prevention. We also compared the trends of several clinical variables (14-day cumulative incidence, positive cases, hospital cases and stays, critical cases and stays, primary care visits, and deaths) for each study wave against wastewater SARS-CoV-2 RNA concentrations using Pearson's product-moment correlations, a two-sided Mann-Whitney U test, and a cross-correlation analysis. We found strong correlations between SARS-CoV-2 concentrations with 14-day cumulative incidence and positive cases over time. Wastewater RNA concentrations showed strong correlations with these variables one and two weeks in advance. There were significant correlations with hospitalizations and critical care during Wave 3 and Wave 6; cross-correlations were stronger for hospitalization stays one week before during Wave 6. No association between vaccination percentages and wastewater viral concentrations was observed. Our findings support wastewater SARS-CoV-2 concentrations as a potential surveillance tool to anticipate infection and epidemiological data such as 14-day cumulative incidence, hospitalizations, and critical care stays. Public health authorities could use this epidemiological tool on a similar population as an aid for health care decision-making during an epidemic outbreak.
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Affiliation(s)
- Raimundo Seguí López-Peñalver
- Faculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain; Global Omnium, Valencia, Spain
| | | | - Jorge Casaña-Mohedo
- Faculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain; Faculty of Health Sciences, Universidad Católica de Valencia San Vicente Mártir, 46001, Valencia, Spain
| | | | - Julio Fernández-Garrido
- Consellería de Sanidad Universal y Salud Pública, Generalitat Valenciana, Department of Nursing, University of Valencia, 46001 Jaume Roig St, Valencia, Spain
| | - Raúl Juárez-Vela
- Faculty of Health Sciences, La Rioja University, 26006 Logroño, Spain
| | - Ana Pellín-Carcelén
- Faculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain
| | - Vicente Gea-Caballero
- Faculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain
| | - Vicente Andreu-Fernández
- Faculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain; Biosanitary Research Institute, Valencian International University (VIU), 46002, Valencia, Spain.
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Zhu Q, Xu Y, Wang T, Xie F. Innate and adaptive immune response in SARS-CoV-2 infection-Current perspectives. Front Immunol 2022; 13:1053437. [PMID: 36505489 PMCID: PMC9727711 DOI: 10.3389/fimmu.2022.1053437] [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: 09/25/2022] [Accepted: 11/09/2022] [Indexed: 11/24/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) has been a global pandemic, caused by a novel coronavirus strain with strong infectivity, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With the in-depth research, the close relationship between COVID-19 and immune system has been dug out. During the infection, macrophages, dendritic cells, natural killer cells, CD8+ T cells, Th1, Th17, Tfh cells and effector B cells are all involved in the anti-SARS-CoV-2 responses, however, the dysfunctional immune responses will ultimately lead to the excessive inflammation, acute lung injury, even other organ failure. Thus, a detailed understanding of pertinent immune response during COVID-19 will provide insights in predicting disease outcomes and developing appropriate therapeutic approaches. In this review, we mainly clarify the role of immune cells in COVID-19 and the target-vaccine development and treatment.
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Affiliation(s)
- Qiugang Zhu
- Department of Laboratory Medicine, Shangyu People’s Hospital of Shaoxing, Shaoxing, China
| | - Yan Xu
- Department of Respiratory Medicine, Shangyu People’s Hospital of Shaoxing, Shaoxing, China
| | - Ting Wang
- Department of Laboratory Medicine, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Feiting Xie
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,*Correspondence: Feiting Xie,
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Sukhikh GT, Priputnevich TV, Ogarkova DA, Pochtovyi AA, Kustova DD, Zlobin VI, Logunov DY, Gushchin VA, Gintsburg AL. Sputnik Light and Sputnik V Vaccination Is Effective at Protecting Medical Personnel from COVID-19 during the Period of Delta Variant Dominance. Vaccines (Basel) 2022; 10:1804. [PMID: 36366311 PMCID: PMC9696561 DOI: 10.3390/vaccines10111804] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/18/2022] [Accepted: 10/22/2022] [Indexed: 11/26/2023] Open
Abstract
Medical personnel are a group of people that often encounter infectious agents, leading to greater risk of contracting infectious diseases. Specific prevention of diseases in this group is a priority. The epidemiological effectiveness of COVID-19 prevention in the group of medical workers due to the emergence of new variants of concern of the SARS-CoV-2 virus has not been studied in sufficient depth. We conducted a study of the effectiveness of vaccine use to protect medical workers at a large medical center for obstetrics and gynecology in Moscow. Sputnik V and Sputnik Light were the main vaccines used for the prevention of COVID-19. The vaccines are based on a variant of the S-protein of the SARS-CoV-2 virus, with adenovirus serotypes 5 and 26 as the vector for delivery. Vaccination of employees occurred during the period in which the Delta variant was spreading. The overall epidemiological effectiveness was 81.7% (73.1-87.6%) during the period in which the Delta variant was dominant. During the period from the beginning of vaccination (26 November 2020) until 8 February 2022, the overall effectiveness was 89.1% (86.9-91.0%). As expected, the highest effectiveness during this period was obtained in the group that received the third and fourth doses-96.5% (75.0-99.5%). The severity of COVID-19 in the vaccinated group was significantly lower than in the unvaccinated group.
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Affiliation(s)
- Gennady T Sukhikh
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia
| | - Tatiana V Priputnevich
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia
| | - Darya A Ogarkova
- Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia
| | - Andrei A Pochtovyi
- Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia
- Department of Virology, Biological Faculty, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Daria D Kustova
- Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia
- Department of Virology, Biological Faculty, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Vladimir I Zlobin
- Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia
| | - Denis Y Logunov
- Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia
| | - Vladimir A Gushchin
- Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia
- Department of Virology, Biological Faculty, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Alexander L Gintsburg
- Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia
- Department of Infectiology and Virology, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov, First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 119435 Moscow, Russia
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Barchuk A, Bulina A, Cherkashin M, Berezina N, Rakova T, Kuplevatskaya D, Skougarevskiy D, Okhotin A. Gam-COVID-Vac, EpiVacCorona, and CoviVac effectiveness against lung injury during Delta and Omicron variant surges in St. Petersburg, Russia: a test-negative case-control study. Respir Res 2022; 23:276. [PMID: 36217139 PMCID: PMC9549449 DOI: 10.1186/s12931-022-02206-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 10/02/2022] [Indexed: 12/01/2022] Open
Abstract
Background Monitoring vaccine effectiveness (VE) remains a priority for epidemiological research throughout the COVID-19 pandemic. VE against infection declines with the emergence of new SARS-CoV-2 variants of concern (VOC), but VE against the severe disease remains high. Therefore, we aimed to estimate the effectiveness of COVID-19 vaccines used in Russia against lung injury during Delta and Omicron VOC surges. Methods We designed a case–control study (test-negative design) to estimate VE against any (any volume of involved lung parenchyma) and severe (>50% of involved parenchyma) lung injury detected on computer tomography and associated with COVID-19 between October 1, 2021–April 28, 2022 (Delta VOC dominance period followed by Omicron dominance period). We included the data of patients with symptomatic confirmed SARS-CoV-2 infection referred to the low-dose computer tomography triage centres. Results Among 23996 patients in the primary analysis, 13372 (55.7%) had any lung injury, and 338 (1.4%) had severe lung injury. The adjusted for age, sex and triage centre VE estimates against any lung injury were 56% (95% confidence interval 54–59) for two-dose Gam-COVID-Vac (Sputnik V), 71% (68–74) for three-dose Gam-COVID-Vac (booster), 2% (−27 to 24) for EpiVacCorona, and 46% (37–53) for CoviVac. VE estimates against severe lung injury were 76% (67–82) for two-dose Gam-COVID-Vac (Sputnik V), 87% (76–93) for three-dose Gam-COVID-Vac, 36% (−63 to 75) for EpiVacCorona, and 80% (45–92) for CoviVac. Conclusions Gam-COVID-Vac remained effective against lung injury associated with COVID-19 during Delta and Omicron VOC surges, and one Gam-COVID-Vac booster could be seen as an appropriate option after a two-dose regimen. CoviVac was also effective against lung injury. EpiVacCorona use in population-based vaccination should be halted until effectiveness and efficacy evidence is provided. Trial registration The joint study of COVID-19 vaccine effectiveness in St. Petersburg was registered at ClinicalTrials.gov (NCT04981405, date of registration—August 4, 2021). Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02206-3.
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Affiliation(s)
- Anton Barchuk
- Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia.
| | - Anna Bulina
- Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia
| | - Mikhail Cherkashin
- Medical Institute Named After Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Natalia Berezina
- Medical Institute Named After Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Tatyana Rakova
- Medical Institute Named After Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Darya Kuplevatskaya
- Medical Institute Named After Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Dmitriy Skougarevskiy
- Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia
| | - Artemiy Okhotin
- Tarusa Hospital, Karla Libknekhta Ulitsa 16, 249100, Tarusa, Russia
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Barchuk A, Bulina A, Cherkashin M, Berezina N, Rakova T, Kuplevatskaya D, Stanevich O, Skougarevskiy D, Okhotin A. COVID-19 vaccines effectiveness against symptomatic SARS-CoV-2 during Delta variant surge: a preliminary assessment from a case-control study in St. Petersburg, Russia. BMC Public Health 2022; 22:1803. [PMID: 36138385 PMCID: PMC9503256 DOI: 10.1186/s12889-022-14202-9] [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: 06/28/2022] [Accepted: 09/14/2022] [Indexed: 11/12/2022] Open
Abstract
Background Studies of mRNA and vector-based vaccines used in different countries report acceptable levels of effectiveness against SARS-CoV-2 infection caused by the Delta variants of SARS-CoV-2. No studies estimated vaccine effectiveness (VE) of Gam-COVID-Vac and other vaccines used in Russia against symptomatic infection with Delta variant. In this population-based case-control study, we aimed to estimate the effectiveness of the Russian COVID-19 vaccines against symptomatic SARS-CoV-2 during the recent outbreak caused by the Delta VOC in October 2021 in St. Petersburg, Russia. Methods Cases were symptomatic patients with confirmed SARS-CoV-2 (using polymerase chain reaction (PCR) test) referred to low-dose computed tomography (LDCT) triage in two outpatient centres between October 6 and 14, 2021 during the Delta variant outbreak. We recruited the controls during the representative survey of the seroprevalence study conducted during the same period in St. Petersburg using random digit dialling. In the primary analysis, we used logistic regression models to estimate the adjusted (age, sex, and history of confirmed COVID-19) VE against symptomatic SARS-CoV-2 resulted in a referral to triage centre for three vaccines used in Russia: Gam-COVID-Vac, EpiVacCorona, and CoviVac. Results We included 1,254 cases and 2,747 controls recruited between the 6th and 14th of October in the final analysis. VE was 56% (95% CI: 48 to 63) for Gam-COVID-Vac (Sputnik V), 49% (95% CI: 29 to 63) for 1-dose Gam-COVID-Vac (Sputnik V) or Sputnik Light, -58% (95% CI: -225 to 23) for EpiVacCorona and 40% (95% CI: 3 to 63) for CoviVac. Without adjustment for the history of confirmed COVID-19 VE for all vaccines was lower, except for one-dose Gam-COVID-Vac (Sputnik Light). The adjusted VE was slightly lower in women — 51% (95% CI: 39 to 60) than men — 65% (95% CI: 5 to 73). Conclusions Our preliminary results show that in contrast to other Russian vaccines, Gam-COVID-Vac is effective against symptomatic SARS-CoV-2 infection caused by Delta VOC. Effectiveness is likely higher than the estimated 56% due to bias arising from high prevalence of the past COVID-19 in St. Petersburg. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14202-9.
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Affiliation(s)
- Anton Barchuk
- Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia.
| | - Anna Bulina
- Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia
| | - Mikhail Cherkashin
- Medical Institute named after Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Natalia Berezina
- Medical Institute named after Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Tatyana Rakova
- Medical Institute named after Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Darya Kuplevatskaya
- Medical Institute named after Berezin Sergey, Esenina Ulitsa 2-3a, 194354, St. Petersburg, Russia
| | - Oksana Stanevich
- Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia
| | - Dmitriy Skougarevskiy
- Institute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa 1, 191187, St. Petersburg, Russia
| | - Artemiy Okhotin
- Tarusa Hospital, Karla Libknekhta Ulitsa 16, 249100, Tarusa, Russia
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