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Batmunkh B, Otgonbayar D, Shaarii S, Khaidav N, Shagdarsuren OE, Boldbaatar G, Danzan NE, Dashtseren M, Unurjargal T, Dashtseren I, Dagvasumberel M, Jagdagsuren D, Bayandorj O, Biziya B, Surenjid S, Togoo K, Bat-Erdene A, Narmandakh Z, Choijilsuren G, Batmunkh U, Soodoi C, Boldbaatar EA, Byambatsogt G, Byambaa O, Deleg Z, Enebish G, Chuluunbaatar B, Zulmunkh G, Tsolmon B, Gunchin B, Chimeddorj B, Dambadarjaa D, Sandag T. RBD-specific antibody response after two doses of different SARS-CoV-2 vaccines during the mass vaccination campaign in Mongolia. PLoS One 2023; 18:e0295167. [PMID: 38064430 PMCID: PMC10707641 DOI: 10.1371/journal.pone.0295167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 11/16/2023] [Indexed: 12/18/2023] Open
Abstract
The SARS-CoV-2 vaccination campaign began in February 2021 and achieved a high rate of 62.7% of the total population fully vaccinated by August 16, 2021, in Mongolia. We aimed to assess the initial protective antibody production after two doses of a variety of types of SARS-CoV-2 vaccines in the Mongolian pre-vaccine antibody-naïve adult population. This prospective study was conducted from March-April to July-August of 2021. All participants received one of the four government-proposed COVID-19 vaccines including Pfizer/BioNTech (BNT162b2), AstraZeneca (ChAdOx1-S), Sinopharm (BBIBP-CorV), and Sputnik V (Gam-COVID-Vac). Before receiving the first shot, anti-SARS-CoV-2 S-RBD human IgG titers were measured in all participants (n = 1833), and titers were measured 21-28 days after the second shot in a subset of participants (n = 831). We found an overall average protective antibody response of 84.8% (705 of 831 vaccinated) in 21-28 days after two doses of the four types of COVID-19 vaccines. Seropositivity and titer of protective antibodies produced after two shots of vaccine were associated with the vaccine types, age, and residence of vaccinees. Seropositivity rate varied significantly between vaccine types, 80.0% (28 of 35) for AstraZeneca ChAdOx1-S; 97.0% (193 of 199) for Pfizer BNT162b2; 80.7% (474 of 587) for Sinopharm BBIBP-CorV, and 100.0% (10 of 10) for Sputnik V Gam-COVID-Vac, respectively. Immunocompromised vaccinees with increased risk for developing severe COVID-19 disease had received the Pfizer vaccine and demonstrated a high rate of seropositivity. A high geometric mean titer (GMT) was found in vaccinees who received BNT162b2, while vaccinees who received ChAdOx1-S, Sputnik V, and BBIBP-CorV showed a lower GMT. In summary, we observed first stages of the immunization campaign against COVID-19 in Mongolia have been completed successfully, with a high immunogenicity level achieved among the population with an increased risk for developing severe illness.
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Affiliation(s)
- Burenjargal Batmunkh
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Dashpagma Otgonbayar
- National Center for Communicable Diseases of Mongolia, Ulaanbata, Mongolia
- School of Public Health, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Shatar Shaarii
- School of Public Health, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Nansalmaa Khaidav
- School of Public Health, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Oyu-Erdene Shagdarsuren
- School of Public Health, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Gantuya Boldbaatar
- School of Medicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Nandin-Erdene Danzan
- School of Medicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | | | - Tsolmon Unurjargal
- School of Medicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Ichinnorov Dashtseren
- School of Medicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | | | | | | | - Baasanjargal Biziya
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Seesregdorj Surenjid
- International School of Mongolian Medicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Khongorzul Togoo
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Ariunzaya Bat-Erdene
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Zolmunkh Narmandakh
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Gansukh Choijilsuren
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Ulziisaikhan Batmunkh
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Chimidtseren Soodoi
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Enkh-Amar Boldbaatar
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Ganbaatar Byambatsogt
- School of Nursing, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Otgonjargal Byambaa
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Zolzaya Deleg
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Gerelmaa Enebish
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Bazardari Chuluunbaatar
- Mongolia-Japan Hospital, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Gereltsetseg Zulmunkh
- Mongolia-Japan Hospital, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | | | - Batbaatar Gunchin
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Battogtokh Chimeddorj
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Davaalkham Dambadarjaa
- School of Public Health, Mongolian National University of Medical Sciences, Sainshand, Mongolia
| | - Tsogtsaikhan Sandag
- School of Biomedicine, Mongolian National University of Medical Sciences, Sainshand, Mongolia
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Montero S, Urrunaga-Pastor D, Soto-Becerra P, Cvetkovic-Vega A, Guillermo-Roman M, Figueroa-Montes L, Sagástegui AA, Alvizuri-Pastor S, Contreras-Macazana RM, Apolaya-Segura M, Díaz-Vélez C, Maguiña JL. Humoral response after a BNT162b2 heterologous third dose of COVID-19 vaccine following two doses of BBIBP-CorV among healthcare personnel in Peru. Vaccine X 2023; 14:100311. [PMID: 37207103 PMCID: PMC10162476 DOI: 10.1016/j.jvacx.2023.100311] [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: 10/05/2022] [Revised: 04/14/2023] [Accepted: 04/30/2023] [Indexed: 05/21/2023] Open
Abstract
Background The inactivated virus vaccine, BBIBP-CorV, was principally distributed across low- and middle-income countries as primary vaccination strategy to prevent poor COVID-19 outcomes. Limited information is available regarding its effect on heterologous boosting. We aim to evaluate the immunogenicity and reactogenicity of a third booster dose of BNT162b2 following a double BBIBP-CorV regime. Methods We conducted a cross-sectional study among healthcare providers from several healthcare facilities of the Seguro Social de Salud del Perú - ESSALUD. We included participants two-dose BBIBP-CorV vaccinated who presented a three-dose vaccination card at least 21 days passed since the vaccinees received their third dose and were willing to provide written informed consent. Antibodies were determined using LIAISON® SARS-CoV-2 TrimericS IgG (DiaSorin Inc., Stillwater, USA). Factors potentially associated with immunogenicity, and adverse events, were considered. We used a multivariable fractional polynomial modeling approach to estimate the association between anti-SARS-CoV-2 IgG antibodies' geometric mean (GM) ratios and related predictors. Results We included 595 subjects receiving a third dose with a median (IQR) age of 46 [37], [54], from which 40% reported previous SARS-CoV-2 infection. The overall geometric mean (IQR) of anti-SARS-CoV-2 IgG antibodies was 8,410 (5,115 - 13,000) BAU/mL. Prior SARS-CoV-2 history and full/part-time in-person working modality were significantly associated with greater GM. Conversely, time from boosting to IgG measure was associated with lower GM levels. We found 81% of reactogenicity in the study population; younger age and being a nurse were associated with a lower incidence of adverse events. Conclusions Among healthcare providers, a booster dose of BNT162b2 following a full BBIBP-CorV regime provided high humoral immune protection. Thus, SARS-CoV-2 previous exposure and working in person displayed as determinants that increase anti-SARS-CoV-2 IgG antibodies.
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Affiliation(s)
- Stephanie Montero
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
| | - Diego Urrunaga-Pastor
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
- Unidad para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola (USIL), Lima, Peru
| | - Percy Soto-Becerra
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
- Universidad Continental, Huancayo, Perú
| | - Aleksandar Cvetkovic-Vega
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
- Facultad de Medicina Humana, Universidad Privada Antenor Orrego, Trujillo, Peru
| | - Martina Guillermo-Roman
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
| | | | | | | | | | - Moisés Apolaya-Segura
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
- Facultad de Medicina Humana, Universidad Privada Antenor Orrego, Trujillo, Peru
| | - Cristian Díaz-Vélez
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
- Facultad de Medicina Humana, Universidad Privada Antenor Orrego, Trujillo, Peru
| | - Jorge L. Maguiña
- Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru
- Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima, Peru
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Liu KS, Yang YY, Hwang KL, Wu HJ. Investigating the Current Status of SARS-CoV-2 Antibodies in Hospital Staff. Pathogens 2023; 12:pathogens12050688. [PMID: 37242357 DOI: 10.3390/pathogens12050688] [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: 03/24/2023] [Revised: 04/26/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2 had reported over 676 million cases by March 2023. The main aim of this study is to investigate whether the levels of anti-S and anti-N antibodies could precisely indicate the degree of protection against SARS-CoV-2 and affect the probability or time of contracting COVID-19. In this study, a serosurveillance study was conducted in healthcare workers (HCWs) at a regional hospital in Taiwan to evaluate their antibody levels based on infection and vaccination status. Of 245 HCWs enrolled, all have been vaccinated prior to infection. Of these, 85 participants were infected by SARS-CoV-2, while 160 participants were not infected at the time of blood sample collection. The level of anti-SARS-CoV-2 S antibody was significantly higher in the infected HCWs than in the non-infected participants (p < 0.001). It is worth noting that the mean duration between the administration of the last dose of the vaccine and the occurrence of SARS-CoV-2 infection was 5.61 ± 2.95 months. Our follow-up survey revealed that the non-infected group had significantly higher levels of antibodies compared to the infected group (all p < 0.001). In conclusion, this study suggests that the level of antibodies could serve as a reflection of the protective efficacy against SARS-CoV-2 infection. It has the implication for vaccine decision-making policies in the future.
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Affiliation(s)
- Keh-Sen Liu
- Division of Infectious Diseases, Department of Internal Medicine, Show Chwan Memorial Hospital, Changhua 500, Taiwan
| | - Yu-Ying Yang
- Department of Laboratory Medicine, Show Chwan Memorial Hospital, Changhua 500, Taiwan
| | - Kai-Lin Hwang
- Department of Health Business Administration, Hungkuang University, Taichung 433, Taiwan
| | - Hsing-Ju Wu
- Research Assistant Center, Show Chwan Memorial Hospital, Changhua 500, Taiwan
- Department of Medical Research, Chang Bing Show Chwan Memorial Hospital, Lukang Township, Changhua County 505, Taiwan
- Department of Nursing, Chung-Jen Junior College of Nursing, Health Sciences and Management, Da-Lin Township, Chiayi County 622, Taiwan
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