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Warpechowski J, Leszczyńska P, Juchnicka D, Olichwier A, Szczerbiński Ł, Krętowski AJ. Assessment of the Immune Response in Patients with Insulin Resistance, Obesity, and Diabetes to COVID-19 Vaccination. Vaccines (Basel) 2023; 11:1203. [PMID: 37515018 PMCID: PMC10383449 DOI: 10.3390/vaccines11071203] [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: 06/05/2023] [Revised: 07/01/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023] Open
Abstract
The SARS-CoV-19 pandemic overwhelmed multiple healthcare systems across the world. Patients with underlying medical conditions such as obesity or diabetes were particularly vulnerable, had more severe symptoms, and were more frequently hospitalized. To date, there have been many studies on the severity of SARS-CoV-2 in patients with metabolic disorders, but data on the efficiency of vaccines against COVID-19 are still limited. This paper aims to provide a comprehensive overview of the effectiveness of COVID-19 vaccines in individuals with diabetes, insulin resistance, and obesity. A comparison is made between the immune response after vaccination in patients with and without metabolic comorbidities. Additionally, an attempt is made to highlight the mechanisms of immune stimulation affected by SARS-CoV-2 vaccines and how metabolic comorbidities modulate these mechanisms. The focus is on the most common COVID-19 vaccines, which include mRNA vaccines such as Pfizer-BioNTech and Moderna, as well as viral vector vaccines such as AstraZeneca and Johnson & Johnson. Furthermore, an effort is made to clarify how the functional differences between these vaccines may impact the response in individuals with metabolic disorders, drawing from available experimental data. This review summarizes the current knowledge regarding the post-vaccination response to COVID-19 in the context of metabolic comorbidities such as diabetes, insulin resistance, and obesity.
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Affiliation(s)
- Jędrzej Warpechowski
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
| | - Paula Leszczyńska
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
| | - Dominika Juchnicka
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
| | - Adam Olichwier
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Łukasz Szczerbiński
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Diseases, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, 75 Ames Street, Cambridge, MA 02142, USA
| | - Adam Jacek Krętowski
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Diseases, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
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Gondokesumo ME, Purnamayanti A, Hanum PS, Santosa WN, Wardhana AP, Avanti C. Anti-SARS-CoV-2 receptor binding domain antibodies after the second dose of Sinovac and AstraZeneca vaccination. Clin Exp Vaccine Res 2023; 12:224-231. [PMID: 37599805 PMCID: PMC10435773 DOI: 10.7774/cevr.2023.12.3.224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 08/22/2023] Open
Abstract
Purpose The Sinovac and AstraZeneca vaccines are the primary coronavirus disease 2019 vaccines in Indonesia. Antibody levels in vaccine-injected individuals will decline substantially over time, but data supporting the duration of such responses are limited. Therefore, this study aims to quantitatively evaluate antibody responses resulting from the completion of Sinovac and AstraZeneca administration in Indonesian adults. Materials and Methods Participants were divided into two groups based on their vaccine type. Both groups were then assessed on the anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor binding domain (anti-SRBD) concentrations. The anti-SRBD level was measured using Elecsys anti-SARS-CoV-2 S assay and analyzed every month until 3 months after the second vaccination. Results The results presented significant differences (p=0.000) in immunoglobulin G (IgG) titers among the vaccines' measurement duration, where all samples observed a decrease in IgG titers over time. The mean titer levels of anti-SRBD IgG in the group given Sinovac were high in the first month after vaccination and decreased by 55.7% in 3 months. AstraZeneca showed lesser immune response with a slower decline rate. Adverse effects following immunization (AEFI) showed that systemic reactions are the most reported in both vaccines, with a higher percentage in the second dose of AstraZeneca type vaccines. Conclusion Sinovac induced more significant titers of anti-SRBD IgG 1 month after the second dose but generated fewer AEFIs. In contrast, AstraZeneca generated more AEFIs, in mild to moderate severity, but provided lower levels of anti-SRBD IgG.
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Affiliation(s)
| | | | | | | | | | - Christina Avanti
- Faculty of Pharmacy, University of Surabaya, Surabaya, Indonesia
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He YF, Ouyang J, Hu XD, Wu N, Jiang ZG, Bian N, Wang J. Correlation between COVID-19 vaccination and diabetes mellitus: A systematic review. World J Diabetes 2023; 14:892-918. [PMID: 37383586 PMCID: PMC10294060 DOI: 10.4239/wjd.v14.i6.892] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 04/05/2023] [Accepted: 04/24/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) is one of the current global public health threats and vaccination is the most effective tool to reduce the spread and decrease the severity of COVID-19. Diabetes is one of the important chronic diseases threatening human health and is a common comorbidity of COVID-19. What is the impact of diabetes on the immunization effect of COVID-19 vaccination? Conversely, does vaccination against COVID-19 exacerbate the severity of pre-existing diseases in patients with diabetes? There are limited and conflicting data on the interrelationship between diabetes and COVID-19 vaccination.
AIM To explore the clinical factors and possible mechanisms underlying the interaction between COVID-19 vaccination and diabetes.
METHODS We conducted a comprehensive search of PubMed, MEDLINE, EMBASE, and Reference Citation Analysis (https://www.referencecitationanalysis.com) online databases, and medRxiv and bioRxiv gray literature using the keywords "SARS-CoV-2", "COVID-19", "vaccine", "vaccination", "antibody", and "diabetes" individually or in combination, with a cut-off date of December 2, 2022. We followed inclusion and exclusion criteria and after excluding duplicate publications, studies with quantifiable evidence were included in the full-text review, plus three manually searched publications, resulting in 54 studies being included in this review.
RESULTS A total of 54 studies were included, from 17 countries. There were no randomized controlled studies. The largest sample size was 350963. The youngest of the included samples was 5 years old and the oldest was 98 years old. The included population included the general population and also some special populations with pediatric diabetes, hemodialysis, solid organ transplantation, and autoimmune diseases. The earliest study began in November 2020. Thirty studies discussed the effect of diabetes on vaccination, with the majority indicating that diabetes reduces the response to COVID-19 vaccination. The other 24 studies were on the effect of vaccination on diabetes, which included 18 case reports/series. Most of the studies concluded that COVID-19 vaccination had a risk of causing elevated blood glucose. A total of 12 of the 54 included studies indicated a "no effect" relationship between diabetes and vaccination.
CONCLUSION There is a complex relationship between vaccination and diabetes with a bidirectional effect. Vaccination may contribute to the risk of worsening blood glucose in diabetic patients and diabetic patients may have a lower antibody response after vaccination than the general population.
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Affiliation(s)
- Yan-Fei He
- Health Management Center, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Jing Ouyang
- Casualty Management Section, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Xiao-Dong Hu
- Department of Endocrinology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Ni Wu
- Health Management Center, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Zhi-Gang Jiang
- Department of Statistics, Zunyi Medical University, Zunyi 563006, Guizhou Province, China
| | - Ning Bian
- Health Management Center, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Jie Wang
- Health Management Center, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
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Zhang X, Si G, Lu H, Zhang W, Zheng S, Huang Z, Liu L, Xue Y, Zheng G. SARS-CoV-2 omicron variant clearance delayed in breakthrough cases with elevated fasting blood glucose. Virol J 2022; 19:148. [PMID: 36100916 PMCID: PMC9468532 DOI: 10.1186/s12985-022-01877-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/31/2022] [Indexed: 11/10/2022] Open
Abstract
Background Omicron variant (B.1.1.529) is a dominant variant worldwide. However, the risk factors for Omicron variant clearance are yet unknown. The present study aimed to investigate the risk factors for early viral clearance of Omicron variant in patients with a history of inactivated vaccine injection. Methods Demographic, clinical, and epidemiological data from 187 patients were collected retrospectively during the Omicron variant wave. Results 73/187 and 114/187 patients were administered two and three doses of vaccine, respectively. The median duration of SARS-CoV-2 RNA positivity was 9 days, and the difference between patients with two and three vaccine injections was insignificant (P = 0.722). Fever was the most common symptom (125/187), and most patients (98.4%) had a fever for < 7 days. The RNA was undetectable in 65/187 patients on day 7. Univariable logistic analysis showed that baseline glucose, uric acid, lymphocytes count, platelet count, and CD4+ T lymphocyte count were associated with SARS-CoV-2 RNA-positivity on day 7. Multivariable analysis showed that glucose ≥ 6.1 mmol/L and CD4+T lymphocytes count were independent risk factors for RNA positivity on day 7. 163/187 patients had an undetectable RNA test on day 14, and uric acid was the only independent risk factor for RNA positivity. Moreover, baseline glucose was negatively correlated with uric acid and CD4+ and CD8+ T cell count, while uric acid was positively correlated with CD4+ and CD8+ T cell count. Conclusions Omicron variant clearance was delayed in breakthrough cases with elevated fasting blood glucose, irrespective of the doses of inactivated vaccine.
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Affiliation(s)
- Xiujun Zhang
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China.,Department of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China
| | - Guocan Si
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China.,Department of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China
| | - Huifen Lu
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China.,Department of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China
| | - Wei Zhang
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China.,Department of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China
| | - Shuqin Zheng
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China.,Department of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China
| | - Zeyu Huang
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China
| | - Longgen Liu
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China.,Department of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China
| | - Yuan Xue
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China. .,Department of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China.
| | - Guojun Zheng
- Institute of Hepatology, The Third People's Hospital of Changzhou, No. 300 Lanling North Road, Changzhou, 213000, Jiangsu, China. .,Clinical Laboratory, The Third People's Hospital of Changzhou, Changzhou, China.
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