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Suzuki J, Mizuno T, Takahashi S, Imai H, Itagaki H, Akaba T, Yoshida M, Endo S. The relationship between severe acute respiratory syndrome coronavirus 2 omicron variant epidemic and acute myocardial infarction: A self-controlled case series study. J Infect Chemother 2025; 31:102666. [PMID: 40021005 DOI: 10.1016/j.jiac.2025.102666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 02/06/2025] [Accepted: 02/21/2025] [Indexed: 03/03/2025]
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has led to various complications, including cardiovascular events. Despite the widespread impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant in 2022, no studies have evaluated the relationship between the Omicron variant epidemic and acute myocardial infarction (AMI). METHODS We utilized a Japanese claims database to identify patients diagnosed with COVID-19 between January 1, 2022, and December 31, 2022. We also identified patients who developed AMI within 90 days before and after their COVID-19 diagnosis. A self-controlled case series (SCCS) analysis evaluated the incidence rate ratio (IRR) for AMI. RESULTS Of the 360,589 patients with COVID-19, 759 were diagnosed with AMI. Excluding the day of exposure, the SCCS analysis showed an IRR for AMI of 6.65 (95 % confidence interval [CI]: 4.66-9.48, P < 0.001) for the 1st week, 1.90 (95 % CI: 1.05-3.50, P = 0.03) for the 2 nd week, and 0.95 (95 % CI: 0.52-1.72, P = 0.87) for the 3rd and 4th weeks following COVID-19. Including the day of exposure, the IRR was 77.4 (95 % CI: 63.2-94.9, P < 0.001) for the 1st week, 1.90 (95 % CI: 1.05-3.50, P = 0.03) for the 2 nd week, and 0.95 (95 % CI: 0.52-1.72, P = 0.87) for the 3rd and 4th weeks following COVID-19. CONCLUSIONS This study showed that the SARS-CoV-2 Omicron variant epidemic increased AMI incidence. These findings highlight AMI as a COVID-19 characteristic, emphasize the importance of SARS-CoV-2 vaccination, and underline the need for continued vigilance, even with variant changes.
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Affiliation(s)
- Jun Suzuki
- Division of Infectious Diseases, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Department of Infection Prevention and Control, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Division of Infectious Diseases and Infection Control, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan.
| | - Tomoki Mizuno
- Division of Infectious Diseases, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Department of Infection Prevention and Control, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan
| | - Shota Takahashi
- Department of Infection Prevention and Control, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan
| | - Haruka Imai
- Division of Infectious Diseases, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Department of Infection Prevention and Control, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Division of Infectious Diseases and Infection Control, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Hideya Itagaki
- Division of Infectious Diseases and Infection Control, Department of Social and Community Medicine, Graduate School of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Tomohiro Akaba
- Department of Respiratory Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Makiko Yoshida
- Department of Infection Prevention and Control, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Division of Infectious Diseases and Infection Control, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan; Division of the Crisis Management Network for Infectious Diseases, Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Shiro Endo
- Division of Infectious Diseases, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Department of Infection Prevention and Control, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan; Division of Infectious Diseases and Infection Control, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan; Division of Infectious Diseases and Infection Control, Department of Social and Community Medicine, Graduate School of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan; Division of the Crisis Management Network for Infectious Diseases, Tohoku Medical and Pharmaceutical University, Miyagi, Japan
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Zhu JY, Lee JG, Wang G, Duan J, van de Leemput J, Lee H, Yang WW, Han Z. SARS-CoV-2 Nsp6-Omicron causes less damage to the Drosophila heart and mouse cardiomyocytes than ancestral Nsp6. Commun Biol 2024; 7:1609. [PMID: 39627475 PMCID: PMC11615247 DOI: 10.1038/s42003-024-07307-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 11/22/2024] [Indexed: 12/06/2024] Open
Abstract
A few years into the COVID-19 pandemic, the SARS-CoV-2 Omicron strain rapidly becomes and has remained the predominant strain. To date, Omicron and its subvariants, while more transmittable, appear to cause less severe disease than prior strains. To study the cause of this reduced pathogenicity we compare SARS-CoV-2 ancestral Nsp6 with Nsp6-Omicron, which we have previously identified as one of the most pathogenic viral proteins. Here, through ubiquitous expression in Drosophila, we show that ancestral Nsp6 causes both structural and functional damage to cardiac, muscular, and tracheal (lung) tissue, whereas Nsp6-Omicron has minimal effects. Moreover, we show that ancestral Nsp6 dysregulates the glycolysis pathway and disrupts mitochondrial function, whereas Nsp6-Omicron does not. Through validation in mouse primary cardiomyocytes, we find that Nsp6-induced dysregulated glycolysis underlies the cardiac dysfunction. Together, the results indicate that the amino acid changes in Omicron might hinder its interaction with host proteins thereby minimizing its pathogenicity.
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Affiliation(s)
- Jun-Yi Zhu
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
| | - Jin-Gu Lee
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
| | - Guanglei Wang
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
| | - Jianli Duan
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
| | - Joyce van de Leemput
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
| | - Hangnoh Lee
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA
| | - Wendy Wenqiao Yang
- Morsani College of Medicine, University of South Florida, 560 Channelside Drive, Tampa, FL, 33602, USA
| | - Zhe Han
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA.
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Baltimore, MD, 21201, USA.
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Hopff SM, Appel KS, Miljukov O, Schneider J, Addo MM, Bals R, Bercker S, Blaschke S, Bröhl I, Büchner N, Dashti H, Erber J, Friedrichs A, Geisler R, Göpel S, Hagen M, Hanses F, Jensen BEO, Keul M, Krawczyk A, Lorenz-Depiereux B, Meybohm P, Milovanovic M, Mitrov L, Nürnberger C, Obst W, Römmele C, Schäfer C, Scheer C, Scherer M, Schmidt J, Seibel K, Sikdar S, Tebbe JJ, Tepasse PR, Thelen P, Vehreschild MJGT, Weismantel C, Vehreschild JJ. Comparison of post-COVID-19 symptoms in patients infected with the SARS-CoV-2 variants delta and omicron-results of the Cross-Sectoral Platform of the German National Pandemic Cohort Network (NAPKON-SUEP). Infection 2024; 52:2253-2267. [PMID: 38700656 PMCID: PMC11621170 DOI: 10.1007/s15010-024-02270-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/13/2024] [Indexed: 12/07/2024]
Abstract
PURPOSE The influence of new SARS-CoV-2 variants on the post-COVID-19 condition (PCC) remains unanswered. Therefore, we examined the prevalence and predictors of PCC-related symptoms in patients infected with the SARS-CoV-2 variants delta or omicron. METHODS We compared prevalences and risk factors of acute and PCC-related symptoms three months after primary infection (3MFU) between delta- and omicron-infected patients from the Cross-Sectoral Platform of the German National Pandemic Cohort Network. Health-related quality of life (HrQoL) was determined by the EQ-5D-5L index score and trend groups were calculated to describe changes of HrQoL between different time points. RESULTS We considered 758 patients for our analysis (delta: n = 341; omicron: n = 417). Compared with omicron patients, delta patients had a similar prevalence of PCC at the 3MFU (p = 0.354), whereby fatigue occurred most frequently (n = 256, 34%). HrQoL was comparable between the groups with the lowest EQ-5D-5L index score (0.75, 95% CI 0.73-0.78) at disease onset. While most patients (69%, n = 348) never showed a declined HrQoL, it deteriorated substantially in 37 patients (7%) from the acute phase to the 3MFU of which 27 were infected with omicron. CONCLUSION With quality-controlled data from a multicenter cohort, we showed that PCC is an equally common challenge for patients infected with the SARS-CoV-2 variants delta and omicron at least for the German population. Developing the EQ-5D-5L index score trend groups showed that over two thirds of patients did not experience any restrictions in their HrQoL due to or after the SARS-CoV-2 infection at the 3MFU. CLINICAL TRAIL REGISTRATION The cohort is registered at ClinicalTrials.gov since February 24, 2021 (Identifier: NCT04768998).
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Affiliation(s)
- Sina M Hopff
- Faculty of Medicine, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, University Hospital Cologne, Weißhausstraße 24, 50939, Cologne, Germany.
| | - Katharina S Appel
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
- Faculty of Medicine, Department I of Internal Medicine, University of Cologne, University Hospital Cologne, Cologne, Germany
| | - Olga Miljukov
- Faculty of Medicine, Institute for Clinical Epidemiology and Biometry, University of Wuerzburg, Wuerzburg, Germany
- Institute for Medical Data Sciences, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Johannes Schneider
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Marylyn M Addo
- Institute for Infection Research and Vaccine Development (IIRVD), Center for Internal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- 1St Department of Medicine, Division of Infectious Diseases, Center for Internal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Centre for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Hamburg, Germany
| | - Robert Bals
- Department of Internal Medicine V, Saarland University Medical Center, Homburg, Germany
- Helmholtz-Institute for Phamaceutic Research Saarland (HIPS), Saarbrücken, Germany
| | - Sven Bercker
- Department of Anesthesiology and Intensive Care Medicine, University of Leipzig Medical Faculty, Leipzig, Germany
| | - Sabine Blaschke
- Emergency Department, University Medical Center Goettingen, Goettingen, Germany
| | - Isabel Bröhl
- Faculty of Medicine, Department I of Internal Medicine, University of Cologne, University Hospital Cologne, Cologne, Germany
| | - Nikolaus Büchner
- Department of Respiratory and Sleep Medicine, Helios Hospital Duisburg, , Duisburg, Germany
| | - Hiwa Dashti
- BAG Hausarztpraxis Dashti, Eberswalde, Germany
| | - Johanna Erber
- TUM School of Medicine and Health, Department of Clinical Medicine, Clinical Department for Internal Medicine II, University Medical Center, Technical University of Munich, Munich, Germany
| | - Anette Friedrichs
- Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Ramsia Geisler
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
- Faculty of Medicine, Department I of Internal Medicine, University of Cologne, University Hospital Cologne, Cologne, Germany
| | - Siri Göpel
- Department of Internal Medicine 1, University Hospital Tübingen, Tübingen, Germany
- German Centre for Infection Research (DZIF) Clinical Research Unit for Healthcare Associated and Antibiotic Resistant Bacterial Infections, Tübingen, Germany
| | - Marina Hagen
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Frank Hanses
- Emergency Department and Department for Infection Control and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Björn-Erik Ole Jensen
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University, Duesseldorf, Germany
| | - Maria Keul
- MVZ Altstadt-Carree Fulda GmbH, Fulda, Germany
| | - Adalbert Krawczyk
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Institute for Virology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | | | - Patrick Meybohm
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Milena Milovanovic
- Malteser Krankenhaus St. Franziskus Hospital Flensburg, Flensburg, Germany
| | - Lazar Mitrov
- Faculty of Medicine, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, University Hospital Cologne, Weißhausstraße 24, 50939, Cologne, Germany
| | - Carolin Nürnberger
- Faculty of Medicine, Institute for Clinical Epidemiology and Biometry, University of Wuerzburg, Wuerzburg, Germany
- Institute for Medical Data Sciences, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Wilfried Obst
- Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Magdeburg, Medical Faculty of Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
| | - Christoph Römmele
- Clinic for Internal Medicine III, Gastroenterology and Infectious Diseases, University Hospital of Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - Christian Schäfer
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Scheer
- Department of Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Margarete Scherer
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Julia Schmidt
- Faculty of Medicine, Institute for Clinical Epidemiology and Biometry, University of Wuerzburg, Wuerzburg, Germany
| | - Kristina Seibel
- Faculty of Medicine, Department I of Internal Medicine, University of Cologne, University Hospital Cologne, Cologne, Germany
| | - Shimita Sikdar
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Johannes Josef Tebbe
- Klinikum Lippe Department of Gastroenterology and Infectious Diseases, Bielefeld University, Medical School OWL, Bielefeld, Germany
| | - Phil-Robin Tepasse
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Muenster, Münster, Germany
| | - Philipp Thelen
- Institute of Medical Microbiology and Virology, Carl Von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Maria J G T Vehreschild
- Department of Internal Medicine, Infectious Diseases, Goethe University, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Christina Weismantel
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - J Janne Vehreschild
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Frankfurt, Germany
- Faculty of Medicine, Department I of Internal Medicine, University of Cologne, University Hospital Cologne, Cologne, Germany
- German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
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Makadzange AT, Gundidza P, Konono KCC, Gurumani M, Ndhlovu C. The Real-World Effectiveness of Inactivated COVID-19 Vaccines in Zimbabwe During the Omicron Variant Dominance: A Test-Negative Case-Control Study. Vaccines (Basel) 2024; 12:1303. [PMID: 39771965 PMCID: PMC11680042 DOI: 10.3390/vaccines12121303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Revised: 10/29/2024] [Accepted: 11/07/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUND/OBJECTIVES The COVID-19 pandemic has significantly impacted global health, with varying vaccine effectiveness (VE) across different regions and vaccine platforms. In Africa, where vaccination rates are relatively low, inactivated vaccines like BBIP-CorV (Sinopharm) and Coronovac (Sinovac) have been widely used. This study evaluated the real-world effectiveness of licensed inactivated COVID-19 vaccines in Zimbabwe during a period dominated by Omicron variants. METHODS We conducted a prospective, test-negative, case-control study among symptomatic adults across six Zimbabwean provinces from November 2022 to October 2023. Participants were categorized based on vaccination status, and nasopharyngeal swabs were collected for SARS-CoV-2 PCR testing. Vaccine effectiveness was assessed using conditional logistic regression, adjusting for various covariates such as age, sex, and comorbidities. RESULTS Among 5175 participants, 701 tested positive for SARS-CoV-2 and 4474 tested negative. The overall adjusted VE against symptomatic COVID-19 was 31% (95% CI: 5.3-49.7%) among verified vaccinated individuals. Boosted individuals demonstrated a higher VE of 59.8% (95% CI: 40.3-72.9%). VE decreased significantly to 24% (95% CI: -4.1-44.8%) in individuals vaccinated over a year prior. Similar VE was observed for BBIP-CorV (36.8%, 95% CI: 11.4-54.9%) and Coronovac (38.1%, 95% CI: 16.3-54.2%). CONCLUSIONS This study indicates modest protection from inactivated COVID-19 vaccines against symptomatic Omicron infection, with significant enhancement following booster doses. These findings highlight the need for continued vaccine evaluation, particularly in resource-limited settings, to inform public health strategies and optimize vaccination programs.
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Affiliation(s)
| | | | | | | | - Chiratidzo Ndhlovu
- Mutala Trust, Harare, Zimbabwe; (P.G.); (M.G.)
- Department of Medicine, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe
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Gu Z, Song R, Zhang Y, Hao Y, Sheng S, Chen X, Jin R. Clinical characteristics of COVID-19 clusters in three schools in Beijing, China: A retrospective study. Heliyon 2024; 10:e35425. [PMID: 39165927 PMCID: PMC11334814 DOI: 10.1016/j.heliyon.2024.e35425] [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: 03/20/2024] [Revised: 07/27/2024] [Accepted: 07/29/2024] [Indexed: 08/22/2024] Open
Abstract
Background This retrospective analysis aims to investigate the clinical characteristics of students infected with the SARS-CoV-2 Omicron variant in three Beijing schools. Additionally, we explore the dynamic trends of nucleic acid cycle threshold values (Ct values) and serum antibody titers throughout the disease course. Methods Demographic, clinical, nucleic acid Ct values, and antibody titer data were collected from cases in a COVID-19 cluster in Beijing Ditan Hospital, Capital Medical University, spanning from September 6 to October 1, 2022. Results A total of 107 students infected with Omicron (BA.5.2 and BA.2.76) were identified across three schools. Primary clinical manifestations included fever and upper respiratory symptoms (85/107, 79.4 %), with the majority being classified as mild cases (96/107, 89.7 %). Notably, middle school students in the second school exhibited a higher peak body temperature compared to college students in the first and third schools (39.5 °C vs. 38.4 °C, adjusted P = 0.005; 39.5 °C vs. 38.6 °C, adjusted P = 0.002). Analysis of dynamic changes in Ct values revealed the lowest median Ct value in nasopharyngeal swabs on the third day of illness, reaching 35 after 9-11 days. Oropharyngeal swab nucleic acid median Ct value reached 35 approximately 3-5 days post-onset. Serum antibody detection showed continuous negativity of IgM antibody titers from days 1-10, while IgG antibody titers were positive on the first day and increased rapidly after one week. Conclusions The three COVID-19 cluster school outbreaks primarily resulted from Omicron infections, with no severe or fatal cases observed. Clinically, the selection of different types of SARS-CoV-2 nucleic acid swabs for virus detection can be tailored based on the infection's course.
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Affiliation(s)
- Zhixia Gu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Institute of Infectious Diseases, Beijing, 100015, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Rui Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Yuanyuan Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Institute of Infectious Diseases, Beijing, 100015, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Yiwei Hao
- Department of Medical Record, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Shugui Sheng
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Institute of Infectious Diseases, Beijing, 100015, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Xiaoyou Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Ronghua Jin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Beijing Institute of Infectious Diseases, Beijing, 100015, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
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6
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Santosa A, Oras J, Li H, Nwaru C, Kirui B, Nyberg F. Survival of Critically Ill COVID-19 Patients in Sweden During the First Two and a Half Years of the Pandemic. Crit Care Med 2024; 52:1194-1205. [PMID: 38546287 PMCID: PMC11239088 DOI: 10.1097/ccm.0000000000006271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
OBJECTIVES Some studies have examined survival trends among critically ill COVID-19 patients, but most were case reports, small cohorts, and had relatively short follow-up periods. We aimed to examine the survival trend among critically ill COVID-19 patients during the first two and a half years of the pandemic and investigate potential predictors across different variants of concern periods. DESIGN Prospective cohort study. SETTING Swedish ICUs, between March 6, 2020, and December 31, 2022. PATIENTS Adult COVID-19 ICU patients of 18 years old or older from the Swedish Intensive Care Register (SIR) that were linked to multiple other national registers. MEASUREMENT AND MAIN RESULTS Survival probability and predictors of COVID-19 death were estimated using Kaplan-Meier and Cox regression analysis. Of 8975 patients, 2927 (32.6%) died. The survival rate among COVID-19 critically ill patients appears to have changed over time, with a worse survival in the Omicron period overall. The adjusted hazard ratios (aHRs) comparing older and younger ages were consistently strong but slightly attenuated in the Omicron period. After adjustment, the aHR of death was significantly higher for men, older age (40+ yr), low income, and with comorbid chronic heart disease, chronic lung disease, impaired immune disease, chronic renal disease, stroke, and cancer, and for those requiring invasive or noninvasive respiratory supports, who developed septic shock or had organ failures ( p < 0.05). In contrast, foreign-born patients, those with booster vaccine, and those who had taken steroids had better survival (aHR = 0.87; 95% CI, 0.80-0.95; 0.74, 0.65-0.84, and 0.91, 0.84-0.98, respectively). Observed associations were similar across different variant periods. CONCLUSIONS In this nationwide Swedish cohort covering over two and a half years of the pandemic, ICU survival rates changed over time. Older age was a strong predictor across all periods. Furthermore, most other mortality predictors remained consistent across different variant periods.
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Affiliation(s)
- Ailiana Santosa
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Västra Götaland, Sweden
| | - Jonatan Oras
- Department of Anaesthesiology and Intensive Care, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Västra Götaland, Sweden
- Department of Anaesthesiology and Intensive Care, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Västra Götaland, Sweden
| | - Huiqi Li
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Västra Götaland, Sweden
| | - Chioma Nwaru
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Västra Götaland, Sweden
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Brian Kirui
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Västra Götaland, Sweden
| | - Fredrik Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Västra Götaland, Sweden
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Hartantri Y, Andriyoko B, Debora J, Rachman FR, Susandi E, Ferdian F, Ganiem AR, Alisjahbana B, Soeroto AY, Turbawaty DK. BA.5 sub-lineages associated with higher severity of COVID-19 infection: A cross-sectional study in Indonesia. IJID REGIONS 2024; 11:100379. [PMID: 38855022 PMCID: PMC11157273 DOI: 10.1016/j.ijregi.2024.100379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/21/2024] [Accepted: 05/07/2024] [Indexed: 06/11/2024]
Abstract
Objectives We aimed to compare the clinical severity and outcome among laboratory-confirmed Omicron variant cases admitted between January and December 2022. Methods This is a cross-sectional study conducted in Hasan Sadikin General Hospital between January and December 2022. We enrolled patients aged ≥18 years with laboratory-confirmed Omicron infection. Data were collected from clinical records and a whole genome sequencing database. We compared the risk of severe symptoms and mortality using a logistic regression analysis adjusted for sex, age, comorbidities, and vaccination status. Results We enrolled 255 patients and the main sub-lineages were BA.1 (16.1%), BA.2 (11.4%), BA.5 (35.7%), XBB (22.7%), and BQ.1 (14.1%). Compared with BA.1/BA.2, BA.5 sub-lineages were associated with severe symptoms (adjusted odds ratio of 2.9, 95% confidence interval 1.1-8.2, P <0.05). The highest risk of severe symptoms and mortality was linked with a high number of comorbidities (adjusted odds ratio of 7.8, 95% confidence interval 1.7-22.4, P <0.05). Booster vaccination was protective of severity and mortality. Conclusions Disease severity was associated with BA.5 sub-lineages and multiple comorbidities. Good management is particularly important for people with comorbidities. Furthermore, booster vaccination is also required to reduce severity and mortality.
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Affiliation(s)
- Yovita Hartantri
- Division of Tropical and Infectious Diseases, Internal Medicine Department, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Basti Andriyoko
- Department of Clinical Pathology, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Josephine Debora
- Department of Internal Medicine, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Febi Ramdhani Rachman
- Research Center for Care and Control of Infectious Diseases (RC3ID), Universitas Padjadjaran, Bandung, Indonesia
| | - Evan Susandi
- Department of Internal Medicine, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Ferdy Ferdian
- Division of Pulmonology and Critical Illness, Internal Medicine Department, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Ahmad Rizal Ganiem
- Department of Neurology, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Bachti Alisjahbana
- Division of Tropical and Infectious Diseases, Internal Medicine Department, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Research Center for Care and Control of Infectious Diseases (RC3ID), Universitas Padjadjaran, Bandung, Indonesia
| | - Arto Yuwono Soeroto
- Division of Pulmonology and Critical Illness, Internal Medicine Department, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Dewi Kartika Turbawaty
- Department of Clinical Pathology, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
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Ngqwala B, Msolo L, Ebomah KE, Nontongana N, Okoh AI. Distribution of SARS-CoV-2 Genomes in Wastewaters and the Associated Potential Infection Risk for Plant Workers in Typical Urban and Peri-Urban Communities of the Buffalo City Region, South Africa. Viruses 2024; 16:871. [PMID: 38932163 PMCID: PMC11209190 DOI: 10.3390/v16060871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 05/24/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024] Open
Abstract
The presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater has been reported in several studies and similar research can be used as a proxy for an early warning of potential Coronavirus disease 2019 (COVID-19) outbreaks. This study focused on profiling the incidence of SARS-CoV-2 genomes in wastewater samples obtained from facilities located in the Buffalo City Municipality. Raw samples were collected weekly using the grab technique for a period of 48 weeks. Ribonucleic acids were extracted from the samples, using the QIAGEN Powersoil Total RNA Extraction kit, and extracted RNA samples were further profiled for the presence of SARS-CoV-2 genomes using Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) technique. Furthermore, various environmental matrices were utilized to estimate the potential health risk to plant operators associated with exposure to SARS-CoV-2 viral particles using the quantitative microbiological risk assessment (QMRA) model. Our findings revealed the prevalence of SARS-CoV-2 genomes with concentrations that ranged from 0.22 × 103 to 17.60 × 103 genome copies per milliliter (GC/mL). Different exposure scenarios were employed for the QMRA model, and the findings indicate a probability of infection (P(i)) ranging from 0.93% to 37.81% across the study sites. Similarly, the P(i) was highly significant (p < 0.001) for the 20 mL volumetric intake as compared to other volumetric intake scenarios, and high P(i) was also observed in spring, autumn, and winter for all WWTPs. The P(i) was significantly different (p < 0.05) with respect to the different seasons and with respect to different volume scenarios.
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Affiliation(s)
- Balisa Ngqwala
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa; (L.M.); (K.E.E.); (N.N.); (A.I.O.)
- Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and Microbiology, University of Fort Hare, Alice 5700, South Africa
| | - Luyanda Msolo
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa; (L.M.); (K.E.E.); (N.N.); (A.I.O.)
- Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and Microbiology, University of Fort Hare, Alice 5700, South Africa
| | - Kingsley Ehi Ebomah
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa; (L.M.); (K.E.E.); (N.N.); (A.I.O.)
- Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and Microbiology, University of Fort Hare, Alice 5700, South Africa
| | - Nolonwabo Nontongana
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa; (L.M.); (K.E.E.); (N.N.); (A.I.O.)
- Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and Microbiology, University of Fort Hare, Alice 5700, South Africa
| | - Anthony Ifeanyi Okoh
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa; (L.M.); (K.E.E.); (N.N.); (A.I.O.)
- Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and Microbiology, University of Fort Hare, Alice 5700, South Africa
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Lupi L, Vitiello A, Parolin C, Calistri A, Garzino-Demo A. The Potential Role of Viral Persistence in the Post-Acute Sequelae of SARS-CoV-2 Infection (PASC). Pathogens 2024; 13:388. [PMID: 38787240 PMCID: PMC11123686 DOI: 10.3390/pathogens13050388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 04/26/2024] [Accepted: 05/06/2024] [Indexed: 05/25/2024] Open
Abstract
The infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is associated not only with the development of acute disease but also with long-term symptoms or post-acute sequelae of SARS-CoV-2 (PASC). Multiple lines of evidence support that some viral antigens and RNA can persist for up to 15 months in multiple organs in the body, often after apparent clearance from the upper respiratory system, possibly leading to the persistence of symptoms. Activation of the immune system to viral antigens is observed for a prolonged time, providing indirect evidence of the persistence of viral elements after acute infection. In the gastrointestinal tract, the persistence of some antigens could stimulate the immune system, shaping the local microbiota with potential systemic effects. All of these interactions need to be investigated, taking into account predisposing factors, multiplicity of pathogenic mechanisms, and stratifying populations of vulnerable individuals, particularly women, children, and immunocompromised individuals, where SARS-CoV-2 may present additional challenges.
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Affiliation(s)
- Lorenzo Lupi
- Department of Molecular Medicine, University of Padova, 35121 Padova, Italy; (L.L.); (A.V.); (C.P.); (A.C.)
| | - Adriana Vitiello
- Department of Molecular Medicine, University of Padova, 35121 Padova, Italy; (L.L.); (A.V.); (C.P.); (A.C.)
| | - Cristina Parolin
- Department of Molecular Medicine, University of Padova, 35121 Padova, Italy; (L.L.); (A.V.); (C.P.); (A.C.)
| | - Arianna Calistri
- Department of Molecular Medicine, University of Padova, 35121 Padova, Italy; (L.L.); (A.V.); (C.P.); (A.C.)
| | - Alfredo Garzino-Demo
- Department of Molecular Medicine, University of Padova, 35121 Padova, Italy; (L.L.); (A.V.); (C.P.); (A.C.)
- Department of Microbial Pathogenesis, School of Dentistry, University of Maryland, Baltimore, MD 21201, USA
- Department of Microbiology and Immunology, School of Medicine, University of Maryland, Baltimore, MD 21201, USA
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10
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Boylan S, Arsenault C, Barreto M, Bozza FA, Fonseca A, Forde E, Hookham L, Humphreys GS, Ichihara MY, Le Doare K, Liu XF, McNamara E, Mugunga JC, Oliveira JF, Ouma J, Postlethwaite N, Retford M, Reyes LF, Morris AD, Wozencraft A. Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects. Lancet Digit Health 2024; 6:e354-e366. [PMID: 38670744 DOI: 10.1016/s2589-7500(24)00028-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 04/28/2024]
Abstract
The COVID-19 pandemic highlighted the importance of international data sharing and access to improve health outcomes for all. The International COVID-19 Data Alliance (ICODA) programme enabled 12 exemplar or driver projects to use existing health-related data to address major research questions relating to the pandemic, and developed data science approaches that helped each research team to overcome challenges, accelerate the data research cycle, and produce rapid insights and outputs. These approaches also sought to address inequity in data access and use, test approaches to ethical health data use, and make summary datasets and outputs accessible to a wider group of researchers. This Health Policy paper focuses on the challenges and lessons learned from ten of the ICODA driver projects, involving researchers from 19 countries and a range of health-related datasets. The ICODA programme reviewed the time taken for each project to complete stages of the health data research cycle and identified common challenges in areas such as data sharing agreements and data curation. Solutions included provision of standard data sharing templates, additional data curation expertise at an early stage, and a trusted research environment that facilitated data sharing across national boundaries and reduced risk. These approaches enabled the driver projects to rapidly produce research outputs, including publications, shared code, dashboards, and innovative resources, which can all be accessed and used by other research teams to address global health challenges.
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Affiliation(s)
| | - Catherine Arsenault
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - Marcos Barreto
- Center for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil
| | - Fernando A Bozza
- Evandro Chagas National Institute of Infectious Disease, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Adalton Fonseca
- Center for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil
| | | | | | | | - Maria Yury Ichihara
- Center for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil
| | - Kirsty Le Doare
- St George's, University of London, London, UK; Makerere University John's Hopkins University Research Collaboration, Kampala, Uganda
| | - Xiao Fan Liu
- Department of Media and Communication, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Jean Claude Mugunga
- Partners in Health, Boston, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA
| | - Juliane F Oliveira
- Center for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil; Department of Mathematics, Centre of Mathematics of the University of Porto, Porto, Portugal
| | - Joseph Ouma
- Makerere University John's Hopkins University Research Collaboration, Kampala, Uganda
| | | | | | - Luis Felipe Reyes
- Nuffield School of Medicine, University of Oxford, Oxford, UK; Universidad de La Sabana, Chia, Colombia
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11
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Tomasicchio M, Jaumdally S, Wilson L, Kotze A, Semple L, Meier S, Pooran A, Esmail A, Pillay K, Roberts R, Kriel R, Meldau R, Oelofse S, Mandviwala C, Burns J, Londt R, Davids M, van der Merwe C, Roomaney A, Kühn L, Perumal T, Scott AJ, Hale MJ, Baillie V, Mahtab S, Williamson C, Joseph R, Sigal A, Joubert I, Piercy J, Thomson D, Fredericks DL, Miller MGA, Nunes MC, Madhi SA, Dheda K. SARS-CoV-2 Viral Replication Persists in the Human Lung for Several Weeks after Symptom Onset. Am J Respir Crit Care Med 2024; 209:840-851. [PMID: 38226855 PMCID: PMC10995573 DOI: 10.1164/rccm.202308-1438oc] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 01/12/2024] [Indexed: 01/17/2024] Open
Abstract
Rationale: In the upper respiratory tract, replicating (culturable) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is recoverable for ∼4-8 days after symptom onset, but there is a paucity of data about the frequency and duration of replicating virus in the lower respiratory tract (i.e., the human lung).Objectives: We undertook lung tissue sampling (needle biopsy) shortly after death in 42 mechanically ventilated decedents during the Beta and Delta waves. An independent group of 18 ambulatory patients served as a control group.Methods: Lung biopsy cores from decedents underwent viral culture, histopathological analysis, electron microscopy, transcriptomic profiling, and immunohistochemistry.Measurements and Main Results: Thirty-eight percent (16 of 42) of mechanically ventilated decedents had culturable virus in the lung for a median of 15 days (persisting for up to 4 wk) after symptom onset. Lung viral culture positivity was not associated with comorbidities or steroid use. Delta but not Beta variant lung culture positivity was associated with accelerated death and secondary bacterial infection (P < 0.05). Nasopharyngeal culture was negative in 23.1% (6 of 26) of decedents despite lung culture positivity. This hitherto undescribed biophenotype of lung-specific persisting viral replication was associated with an enhanced transcriptomic pulmonary proinflammatory response but with concurrent viral culture positivity.Conclusions: Concurrent rather than sequential active viral replication continues to drive a heightened proinflammatory response in the human lung beyond the second week of illness and was associated with variant-specific increased mortality and morbidity. These findings have potential implications for the design of interventional strategies and clinical management of patients with severe coronavirus disease (COVID-19).
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Affiliation(s)
- Michele Tomasicchio
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Shameem Jaumdally
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Lindsay Wilson
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Andrea Kotze
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Lynn Semple
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Stuart Meier
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Anil Pooran
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Aliasgar Esmail
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Komala Pillay
- Division of Anatomical Pathology, Department of Pathology, and
| | - Riyaadh Roberts
- Division of Anatomical Pathology, Department of Pathology, and
| | - Raymond Kriel
- Division of Anatomical Pathology, Department of Pathology, and
| | - Richard Meldau
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Suzette Oelofse
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Carley Mandviwala
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Jessica Burns
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Rolanda Londt
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Malika Davids
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Charnay van der Merwe
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Aqeedah Roomaney
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Louié Kühn
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Tahlia Perumal
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | - Alex J. Scott
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
| | | | - Vicky Baillie
- South African Medical Research Council, Vaccines and Infectious Diseases Analytics Research Unit, and
- Department of Science and Technology/National Research Foundation South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sana Mahtab
- South African Medical Research Council, Vaccines and Infectious Diseases Analytics Research Unit, and
- Department of Science and Technology/National Research Foundation South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | | | - Alex Sigal
- Africa Health Research Institute, Durban, South Africa; and
| | - Ivan Joubert
- Division of Critical Care, Department of Anaesthesia and Perioperative Medicine, University of Cape Town, Cape Town, South Africa
| | - Jenna Piercy
- Division of Critical Care, Department of Anaesthesia and Perioperative Medicine, University of Cape Town, Cape Town, South Africa
| | - David Thomson
- Division of Critical Care, Department of Anaesthesia and Perioperative Medicine, University of Cape Town, Cape Town, South Africa
| | - David L. Fredericks
- Division of Critical Care, Department of Anaesthesia and Perioperative Medicine, University of Cape Town, Cape Town, South Africa
| | - Malcolm G. A. Miller
- Division of Critical Care, Department of Anaesthesia and Perioperative Medicine, University of Cape Town, Cape Town, South Africa
| | - Marta C. Nunes
- South African Medical Research Council, Vaccines and Infectious Diseases Analytics Research Unit, and
- Department of Science and Technology/National Research Foundation South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Centre of Excellence in Respiratory Pathogens, Hospices Civils de Lyon and Centre International de Recherche en Infectiologie, Équipe Santé Publique, Épidémiologie et Écologie Évolutive des Maladies Infectieuses, Inserm U1111, CNRS UMR5308, ENS de Lyon, Université Claude Bernard – Lyon 1, Lyon, France
| | - Shabir A. Madhi
- South African Medical Research Council, Vaccines and Infectious Diseases Analytics Research Unit, and
- Department of Science and Technology/National Research Foundation South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine, University of Cape Town and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance
- Institute of Infectious Disease and Molecular Medicine
- Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, United Kingdom
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12
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Kashiwado Y, Kimoto Y, Oku K, Yamamoto M, Ohshima S, Ito S, Horiuchi T, Takeuchi T. Prognostic improvement and treatment of COVID-19 in patients with rheumatic diseases until December 2022: Analysis of the JCR COVID-19 registry in Japan. Mod Rheumatol 2024; 34:576-583. [PMID: 37338284 DOI: 10.1093/mr/road057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/27/2023] [Accepted: 06/09/2023] [Indexed: 06/21/2023]
Abstract
OBJECTIVES The aim is to evaluate the treatment and prognosis of coronavirus disease 2019 (COVID-19) according to the time of onset and dominant strain in patients with rheumatic diseases. METHODS This study analysed a nationwide COVID-19 registry of Japanese patients with rheumatic diseases compiled between June 2020 and December 2022. The primary endpoints of the study were hypoxaemia incidence and mortality. Multivariate logistic regression analysis was performed to assess differences according to the period of onset. RESULTS A total of 760 patients were compared across four periods. Hypoxaemia rates were 34.9, 27.2, 13.8, and 6.1% and mortality rates were 5.6, 3.5, 1.8, and 0% until June 2021, between July and December 2021, January and June 2022, and July and December 2022, respectively. History of vaccination (odds ratio, 0.39; 95% confidence interval, 0.18-0.84) and onset during the July to December 2022 Omicron BA.5-dominant period (odds ratio, 0.17; 95% confidence interval, 0.07-0.41) were negatively associated with hypoxaemia in the multivariate model, adjusting for age, sex, obesity, glucocorticoid dose, and comorbidities. Over the Omicron-dominant period, antiviral treatment was administered in 30.5% of patients with a low probability of hypoxaemia. CONCLUSIONS COVID-19 prognosis improved over time in patients with rheumatic diseases, especially in the Omicron BA.5-dominant period. In the future, treatment of mild cases should be optimised.
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Affiliation(s)
- Yusuke Kashiwado
- Department of Internal Medicine, Kyushu University Beppu Hospital, Oita, Japan
| | - Yasutaka Kimoto
- Department of Internal Medicine, Kyushu University Beppu Hospital, Oita, Japan
| | - Kenji Oku
- Department of Rheumatology and Infectious Diseases, Kitasato University School of Medicine, Kanagawa, Japan
| | - Mari Yamamoto
- Department of Rheumatology and Nephrology, Chubu Rosai Hospital, Aichi, Japan
| | - Shiro Ohshima
- Department of Clinical Research, Rheumatology and Allergology, Osaka Minami Medical Center, Osaka, Japan
| | - Satoshi Ito
- Department of Rheumatology, Niigata Rheumatic Center, Niigata, Japan
| | - Takahiko Horiuchi
- Department of Internal Medicine, Kyushu University Beppu Hospital, Oita, Japan
| | - Tsutomu Takeuchi
- Division of Rheumatology, Department of Internal Medicine, Keio University, Tokyo, Japan
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13
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Stosic M, Plavsa D, Jovanovic V, Veljkovic M, Babic D, Knezevic A, Saponjic V, Dimitrijevic D, Rancic M, Milic M, Adzic-Vukicevic T. Factors associated with COVID-19 among hospitalized patients with severe acute respiratory infections in Serbia, 2022-2023: A test negative case-control study. PLoS One 2024; 19:e0299210. [PMID: 38498428 PMCID: PMC10947665 DOI: 10.1371/journal.pone.0299210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/07/2024] [Indexed: 03/20/2024] Open
Abstract
Severe acute respiratory infections (SARI) are estimated to be the cause of death in about 19% of all children younger than 5 years globally. The outbreak of coronaviral disease (COVID-19) caused by SARS-CoV-2, increased considerably the burden of SARI worldwide. We used data from a vaccine effectiveness study to identify the factors associated with SARS CoV-2 infection among hospitalized SARI patients. We recruited SARI patients at 3 hospitals in Serbia from 7 April 2022-1 May 2023. We collected demographic and clinical data from patients using a structured questionnaire, and all SARI patients were tested for SARS-CoV-2 by RT-PCR. We conducted an unmatched test negative case-control study. SARS-CoV-2 infected SARI patients were considered cases, while SARS CoV-2 negative SARI patients were controls. We conducted bivariate and multivariable logistic regression analysis in order to identify variables associated with SARS-CoV-2 infection. We included 110 SARI patients: 74 were cases and 36 controls. We identified 5 factors associated with SARS-CoV-2 positivity, age (OR = 1.04; 95% CI = 1.01-1.07), having received primary COVID-19 vaccine series (OR = 0.28; 95% CI = 0.09-0.88), current smoking (OR = 8.64; 95% CI = 2.43-30.72), previous SARS CoV-2 infection (OR = 3.48; 95% CI = 1.50-8.11) and number of days before seeking medical help (OR = 0.81; 95% CI = 0.64-1.02). In Serbia during a period of Omicron circulation, we found that older age, unvaccinated, hospitalized SARI patients, previously infected with SARS CoV-2 virus and those who smoked, were more likely to be SARS-CoV-2-positive; these patient populations should be prioritized for COVID vaccination.
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Affiliation(s)
- Maja Stosic
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
| | - Dragana Plavsa
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
| | - Verica Jovanovic
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
| | - Marko Veljkovic
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
| | - Dragan Babic
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
| | - Aleksandra Knezevic
- Institute for Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vladan Saponjic
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
| | - Dragana Dimitrijevic
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
| | - Miljan Rancic
- World Health Organization, Country Office Serbia, Belgrade, Serbia
| | - Marija Milic
- Institute of Public Health of Serbia „Dr Milan Jovanovic Batut“, Belgrade, Serbia
- Department of Epidemiology, Faculty of Medicine, University of Pristina Temporarily Seated in Kosovska Mitrovica, Kosovska Mitrovica, Serbia
| | - Tatjana Adzic-Vukicevic
- COVID Hospital "Batajnica", University Clinical Centre of Serbia, Belgrade, Serbia
- Clinic for Pulmonology, University Clinical Centre of Serbia, Belgrade, Serbia
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14
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Murata F, Maeda M, Murayama K, Nakao T, Fukuda H. Associations between COVID-19 vaccination and incident psychiatric disorders after breakthrough SARS-CoV-2 infection: The VENUS Study. Brain Behav Immun 2024; 117:521-528. [PMID: 38355026 DOI: 10.1016/j.bbi.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 12/20/2023] [Accepted: 02/08/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND The associations between COVID-19 vaccination and post-COVID psychiatric disorders are unclear. Furthermore, it is uncertain if these associations differ depending on the dominant SARS-CoV-2 variant at the time of infection. This retrospective cohort study aimed to clarify the associations between COVID-19 vaccination and incident psychiatric disorders after breakthrough infection according to the different variant periods in Japan. METHODS Medical claims data, COVID-19 case-related information, and vaccination records were collected from three Japanese municipalities. The study population comprised public insurance enrollees aged ≥65 years who developed COVID-19 between June 2021 and December 2022. The study exposure was each participant's vaccination status 14 days before infection, and the outcomes were the occurrence of psychiatric disorders within three months of infection. Multivariable logistic regression analyses were performed to calculate the odds ratios (ORs) and 95 % confidence intervals (CIs) of vaccination for the occurrence of psychiatric disorders. Analyses were conducted for the Delta period (June to December 2021), Omicron BA.1/BA.2 period (January to June 2022), and Omicron BA.5 period (July to December 2022). RESULTS We analyzed 270 participants (vaccinated: 149) in the Delta period, 2,963 participants (vaccinated: 2,699) in the Omicron BA.1/BA.2 period, and 7,723 participants (vaccinated: 7,159) in the Omicron BA.5 period. During the Delta period, vaccinated participants had significantly lower odds for psychotic disorders (OR: 0.23, 95 % CI: 0.06-0.88, P = 0.032) than unvaccinated participants. During the Omicron BA.5 period, vaccinated participants had significantly lower odds for organic mental disorders (OR: 0.54, 95 % CI: 0.30-0.95, P = 0.033), psychotic disorders (OR: 0.31, 95 % CI: 0.19-0.53, P < 0.001), mood disorders (OR: 0.53, 95 % CI: 0.29-0.99, P = 0.046), and insomnia (OR: 0.48, 95 % CI: 0.32-0.72, P < 0.001) than unvaccinated participants. There were no significant differences in psychiatric disorders between the vaccinated and unvaccinated groups during the Omicron BA.1/BA.2 period. CONCLUSIONS This is the first study to demonstrate that the associations between COVID-19 vaccination and post-COVID psychiatric disorders vary among the different variant periods. Future studies on these associations should be conducted with consideration to the prevalent circulating variants.
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Affiliation(s)
- Fumiko Murata
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Megumi Maeda
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keitaro Murayama
- Department of Neuropsychiatry, Kyushu University Hospital, Fukuoka, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Haruhisa Fukuda
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
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15
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Jeantin L, Januel E, Labauge P, Maillart E, de Seze J, Zéphir H, Pelletier J, Kerschen P, Biotti D, Heinzlef O, Guilloton L, Bensa C, Théaudin M, Vukusic S, Casez O, Maurousset A, Laplaud D, Berger E, Lebrun-Frenay C, Bourre B, Branger P, Stankoff B, Clavelou P, Thouvenot E, Manchon E, Moreau T, Sellal F, Zedet M, Papeix C, Louapre C. COVID-19 outcomes in patients with multiple sclerosis: Understanding changes from 2020 to 2022. Mult Scler 2024; 30:381-395. [PMID: 38247113 DOI: 10.1177/13524585231218149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
BACKGROUND Epidemiologic studies on coronavirus disease 2019 (COVID-19) in patients with multiple sclerosis (pwMS) have focused on the first waves of the pandemic until early 2021. OBJECTIVES We aimed to extend these data from the onset of the pandemic to the global coverage by vaccination in summer 2022. METHODS This retrospective, multicenter observational study analyzed COVISEP registry data on reported COVID-19 cases in pwMS between January 2020 and July 2022. Severe COVID-19 was defined as hospitalization or higher severity. RESULTS Among 2584 pwMS with confirmed/highly suspected COVID-19, severe infection rates declined from 14.6% preomicron wave to 5.7% during omicron wave (p < 0.001). Multivariate analysis identified age (odds ratio (OR) = 1.43, 95% confidence interval (CI) = [1.25-1.64] per 10 years), male sex (OR = 2.01, 95% CI = [1.51-2.67]), obesity (OR = 2.36, 95% CI = [1.52-3.68]), cardiac comorbidities (OR = 2.36, 95% CI = [1.46-3.83]), higher Expanded Disability Status Scale (EDSS) scores (OR = 2.09, 95% CI = [1.43-3.06] for EDSS 3-5.5 and OR = 4.53, 95% CI = [3.04-6.75] for EDSS ⩾6), and anti-CD20 therapies (OR = 2.67, 95% CI = [1.85-3.87]) as risk factors for COVID-19 severity. Vaccinated individuals experienced less severe COVID-19, whether on (risk ratio (RR) = 0.64, 95% CI = [0.60-0.69]) or off (RR = 0.32, 95% CI = [0.30-0.33]) anti-CD20. DISCUSSION In pwMS, consistent risk factors were anti-CD20 therapies and neurological disability, emerging as vital drivers of COVID-19 severity regardless of wave, period, or vaccination status.
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Affiliation(s)
- Lina Jeantin
- Sorbonne University, Paris Brain Institute-ICM, Assistance Publique-Hôpitaux de Paris (AP-HP), Inserm, CNRS, Hôpital de la Pitié Salpêtrière, CIC Neurosciences, FCRIN4MS, Paris, France
| | - Edouard Januel
- Sorbonne University, Paris Brain Institute-ICM, Assistance Publique-Hôpitaux de Paris (AP-HP), Inserm, CNRS, Hôpital de la Pitié Salpêtrière, CIC Neurosciences, FCRIN4MS, Paris, France/Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Département de Santé Publique, Centre de Pharmacoépidémiologie (Cephepi), Unité de Recherche Clinique PSL-CFX, CIC-1901, Paris, France
| | - Pierre Labauge
- Department of Neurology, CRC-SEP, Montpellier University Hospital, Montpellier, France/ Institute for Neurosciences of Montpellier (INM), INSERM and University of Montpellier, Montpellier, France
| | - Elisabeth Maillart
- Sorbonne University, Paris Brain Institute-ICM, Assistance Publique-Hôpitaux de Paris (AP-HP), Inserm, CNRS, Hôpital de la Pitié Salpêtrière, CIC Neurosciences, FCRIN4MS, Paris, France
| | - Jérôme de Seze
- Department of Neurology and Clinical Investigation Center, CIC 1434, INSERM 1434, CHU de Strasbourg, Strasbourg, France
| | - Hélène Zéphir
- Department of Neurology, CHU Lille, INSERM U1172, University of Lille, Lille, France
| | - Jean Pelletier
- Aix-Marseille Universite, APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | - Philippe Kerschen
- Department of Neurology, Luxembourg Hospital Center, Luxembourg City, Luxembourg
| | - Damien Biotti
- Centre Ressources et Compétences sclérose en plaques (CRC-SEP) et Service de Neurologie B4, Hôpital Pierre-Paul Riquet, CHU Toulouse Purpan, Toulouse, France/ INSERM UMR1291-CNRS UMR5051, Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), Université Toulouse 3, Toulouse, France
| | - Olivier Heinzlef
- Département de Neurologie, CRC SEP, Centre Hospitalier intercommunal de Poissy-Saint-Germain-en-Laye, Poissy, France
| | - Laurent Guilloton
- Association des Neurologues Libéraux de Langue Française, Rambouillet, France
| | - Caroline Bensa
- Département de Neurologie, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Marie Théaudin
- Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Sandra Vukusic
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Bron, France
| | - Olivier Casez
- Neurologie, Pathologies Inflammatoires du Système Nerveux, CHU Grenoble Alpes, Grenoble, France/ TIMC-IMAG, Translational Research in Autoimmunity and Inflammation Group (T-RAIG), Université Grenoble Alpes, Grenoble, France
| | - Aude Maurousset
- CRC SEP and Department of Neurology, CHU de Tours, Hôpital Bretonneau, Tours, France
| | - David Laplaud
- CR2TI UMR1064, Service de Neurologie and CIC0004 INSERM, CHU de Nantes, Nantes, France
| | - Eric Berger
- Service de Neurologie, CHU de Besançon, Besançon, France
| | - Christine Lebrun-Frenay
- CRCSEP Cote d'Azur, CHU de Nice Pasteur2, Université Nice Cote d'Azur, UR2CA-URRIS, Nice, France
| | | | - Pierre Branger
- Service de Neurologie, CHU de Caen Normandie, Caen, France
| | - Bruno Stankoff
- Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne Université, Department of Neurology, Saint Antoine Hospital, CRCSEP, Paris, France
| | - Pierre Clavelou
- CRCSEP, Department of Neurology, CHU Clermont-Ferrand, Inserm, Neuro-Dol, Clermont-Ferrand, France
| | - Eric Thouvenot
- Department of Neurology, Nimes University Hospital, Nimes Cedex 9 F-30029, France; Institut de Génomique Fonctionnelle, UMR5203, INSERM 1191, Université de Montpellier, Montpellier, France
| | - Eric Manchon
- Department of Neurology, Gonesse Hospital, Gonesse, France
| | - Thibault Moreau
- EA4184, Department of Neurology, CHU de Dijon, Dijon, France
| | - François Sellal
- Département de Neurologie, Hôpitaux Civils de Colmar, Colmar, France; Unité INSERM U-1118, Faculté de Médecine, Université de Strasbourg, Strasbourg, France
| | - Mickaël Zedet
- Department of Neurology, AP-HP, Henri Mondor University Hospital, Université Paris Est Créteil, Creteil, France
| | - Caroline Papeix
- Département de Neurologie, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Céline Louapre
- Sorbonne University, Paris Brain Institute-ICM, Assistance Publique-Hôpitaux de Paris (AP-HP), Inserm, CNRS, Hôpital de la Pitié Salpêtrière, CIC Neurosciences, FCRIN4MS, Paris, France
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16
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Ahmadi M, Shahbahrami R, Khajeh F, Khodaeivandi S, Kakavandi E, Raziabad RH, Ghanati K. Aflatoxin B1 and viruses' combined pathogenesis: A mini systematics review of invitro and invivo studies. Acta Histochem 2024; 126:152116. [PMID: 38101290 DOI: 10.1016/j.acthis.2023.152116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 11/08/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023]
Abstract
INTRODUCTION The combined pathogenesis of Aflatoxin B1 (AFB1) and several viruses such as HBV, EBV and influenza virus have been investigated yet the molecular mechanism of their interaction and possible synergistic effects is not fully understood. OBJECTIVES The aim of the current systematic review was to review in-vitro and in-vivo studies investigating the combined pathogenesis of aflatoxins and viruses. METHODS This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. PECO (Population, Exposure, Comparator, and Outcome) criteria for invitro and invivo studies were used to evaluate the eligibility of the studies for systematic review. RESULTS 21 studies were eligible for qualitative analysis based on the inclusion criteria. Of all the included studies, 9 (42.9 %) were invivo, 7 (33.3 %) were invitro-invivo and 5(23.8) articles conducted only invitro assay. Furthermore 14 (66.6 %) article explored hepatitis B virus (HBV) combination with AFB1, 4 (19 %) studied influenza A virus (SIV), 2 (9.7 %) were about Epstein-Barr virus (EBV) and only 1 (4.7 %) included hepatitis C virus (HCV). CONCLUSION The limited collected evidence suggests that AFB1 enhanced EBV and influenza virus pathogenesis. AFB1 also operated as a cofactor for HBV and EBV-mediated carcinogenesis. On the other hand HBV and HCV also induced AFB-1 carcinogenesis. Due to the limited amount of included studies and the inconsistency of their results further studies especially on HBV and SIV are essential for better understanding of their combined mechanisms.
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Affiliation(s)
- Mehdi Ahmadi
- Student Research Committee, (Department and Faculty of Nutrition Sciences and Food Technology), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ramin Shahbahrami
- Department of Medical Virology, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Khajeh
- Department of Environmental Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Sepideh Khodaeivandi
- Department of Food Science and Technology, Afagh Higher Education institute, Urmia, Iran
| | - Ehsan Kakavandi
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Hazrati Raziabad
- Student Research Committee, (Department and Faculty of Nutrition Sciences and Food Technology), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kiandokht Ghanati
- Student Research Committee, (Department and Faculty of Nutrition Sciences and Food Technology), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Taboada BI, Zárate S, García-López R, Muñoz-Medina JE, Gómez-Gil B, Herrera-Estrella A, Sanchez-Flores A, Salas-Lais AG, Roche B, Martínez-Morales G, Domínguez Zárate H, Duque Molina C, Avilés Hernández R, López S, Arias CF. SARS-CoV-2 Omicron variants BA.4 and BA.5 dominated the fifth COVID-19 epidemiological wave in Mexico. Microb Genom 2023; 9:001120. [PMID: 38112714 PMCID: PMC10763511 DOI: 10.1099/mgen.0.001120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/09/2023] [Indexed: 12/21/2023] Open
Abstract
In Mexico, the BA.4 and BA.5 Omicron variants dominated the fifth epidemic wave (summer 2022), superseding BA.2, which had circulated during the inter-wave period. The present study uses genome sequencing and statistical and phylogenetic analyses to examine these variants' abundance, distribution, and genetic diversity in Mexico from April to August 2022. Over 35 % of the sequenced genomes in this period corresponded to the BA.2 variant, 8 % to the BA.4 and 56 % to the BA.5 variant. Multiple subvariants were identified, but the most abundant, BA.2.9, BA.2.12.1, BA.5.1, BA.5.2, BA.5.2.1 and BA.4.1, circulated across the entire country, not forming geographical clusters. Contrastingly, other subvariants exhibited a geographically restricted distribution, most notably in the Southeast region, which showed a distinct subvariant dynamic. This study supports previous results showing that this region may be a significant entry point and contributed to introducing and evolving novel variants in Mexico. Furthermore, a differential distribution was observed for certain subvariants among specific States through time, which may have contributed to the overall increased diversity observed during this wave compared to the previous ones. This study highlights the importance of sustaining genomic surveillance to identify novel variants that may impact public health.
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Affiliation(s)
- Blanca Itzelt Taboada
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico
| | - Selene Zárate
- Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México, Mexico City 03100, Mexico
| | - Rodrigo García-López
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico
| | - José Esteban Muñoz-Medina
- Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Mexico City 07760, Mexico
| | - Bruno Gómez-Gil
- Centro de Investigación en Alimentación y Desarrollo AC, Coordinación Regional Mazatlán, Acuicultura y Manejo Ambiental, Mazatlan 82100, Mexico
| | - Alfredo Herrera-Estrella
- Laboratorio Nacional de Genómica Para la Biodiversidad-Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del IPN, Irapuato 36824, Mexico
| | - Alejandro Sanchez-Flores
- Unidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico
| | - Angel Gustavo Salas-Lais
- Laboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Mexico City 02990, Mexico
| | - Benjamin Roche
- Infectious Diseases: Vector, Control, Genetic, Ecology and Evolution (MIVEGEC) Université de Montpellier, IRD, CNRS, 34090 Montpellier, France
| | - Gabriela Martínez-Morales
- Laboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Mexico City 02990, Mexico
| | - Hermilo Domínguez Zárate
- Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Mexico City 07760, Mexico
| | - Célida Duque Molina
- Dirección de Prestaciones Médicas, Instituto Mexicano del Seguro Social, Ciudad de México 06700, Mexico
| | - Ricardo Avilés Hernández
- Unidad de Planeación e Innovación en Salud, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico
| | - Susana López
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico
| | - Carlos F. Arias
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico
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18
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Acuti Martellucci C, Flacco ME, Soldato G, Di Martino G, Carota R, Rosso A, De Benedictis M, Di Marco G, Di Luzio R, Lisbona F, Caponetti A, Manzoli L. Risk of SARS-CoV-2 Reinfection 3 Years after the Start of the Pandemic: A Population-Level Observational Study. Life (Basel) 2023; 13:2111. [PMID: 38004251 PMCID: PMC10672528 DOI: 10.3390/life13112111] [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: 09/13/2023] [Revised: 10/21/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
The risk of SARS-CoV-2 reinfections changes as new variants emerge, but the follow-up time for most of the available evidence is shorter than two years. This study evaluated SARS-CoV-2 reinfection rates in the total population of an Italian province up to three years since the pandemic's start. This retrospective cohort study used official National Healthcare System data on SARS-CoV-2 testing and vaccinations, demographics, and hospitalizations in the Province of Pescara, Italy, from 2 March 2020 to 31 December 2022. A total of 6541 (5.4%) reinfections and 33 severe and 18 lethal COVID-19 cases were recorded among the 121,412 subjects who recovered from a primary infection. There were no severe events following reinfection in the young population, whereas 1.1% of reinfected elderly died. A significantly higher reinfection risk was observed among females; unvaccinated individuals; adults (30-59 y); and subjects with hypertension, COPD, and kidney disease. Up to three years after a primary SARS-CoV-2 infection, the majority of the population did not experience a reinfection. The risk of severe COVID-19 following a reinfection was very low for young and adult individuals but still high for the elderly. The subjects with hybrid immunity showed a lower reinfection risk than the unvaccinated.
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Affiliation(s)
- Cecilia Acuti Martellucci
- Department of Environmental and Prevention Sciences, University of Ferrara, 44121 Ferrara, Italy; (C.A.M.); (M.E.F.); (A.R.)
| | - Maria Elena Flacco
- Department of Environmental and Prevention Sciences, University of Ferrara, 44121 Ferrara, Italy; (C.A.M.); (M.E.F.); (A.R.)
| | - Graziella Soldato
- Local Health Unit of Pescara, 65124 Pescara, Italy; (G.S.); (G.D.M.); (R.C.); (M.D.B.); (G.D.M.); (R.D.L.); (A.C.)
| | - Giuseppe Di Martino
- Local Health Unit of Pescara, 65124 Pescara, Italy; (G.S.); (G.D.M.); (R.C.); (M.D.B.); (G.D.M.); (R.D.L.); (A.C.)
| | - Roberto Carota
- Local Health Unit of Pescara, 65124 Pescara, Italy; (G.S.); (G.D.M.); (R.C.); (M.D.B.); (G.D.M.); (R.D.L.); (A.C.)
| | - Annalisa Rosso
- Department of Environmental and Prevention Sciences, University of Ferrara, 44121 Ferrara, Italy; (C.A.M.); (M.E.F.); (A.R.)
| | - Marco De Benedictis
- Local Health Unit of Pescara, 65124 Pescara, Italy; (G.S.); (G.D.M.); (R.C.); (M.D.B.); (G.D.M.); (R.D.L.); (A.C.)
| | - Graziano Di Marco
- Local Health Unit of Pescara, 65124 Pescara, Italy; (G.S.); (G.D.M.); (R.C.); (M.D.B.); (G.D.M.); (R.D.L.); (A.C.)
| | - Rossano Di Luzio
- Local Health Unit of Pescara, 65124 Pescara, Italy; (G.S.); (G.D.M.); (R.C.); (M.D.B.); (G.D.M.); (R.D.L.); (A.C.)
| | - Francesco Lisbona
- Department of Medical and Surgical Sciences, University of Bologna, 40100 Bologna, Italy;
| | - Antonio Caponetti
- Local Health Unit of Pescara, 65124 Pescara, Italy; (G.S.); (G.D.M.); (R.C.); (M.D.B.); (G.D.M.); (R.D.L.); (A.C.)
| | - Lamberto Manzoli
- Department of Medical and Surgical Sciences, University of Bologna, 40100 Bologna, Italy;
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Zheng L, Qiu L, Wu L, Wang J, Xie H, Wang J, Huang Y, Chen F. Association of SARS-CoV-2 viral load with abnormal laboratory characteristics and clinical outcomes in hospitalised COVID-19 patients. Epidemiol Infect 2023; 151:e173. [PMID: 37781778 PMCID: PMC10600908 DOI: 10.1017/s0950268823001619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 08/13/2023] [Accepted: 09/15/2023] [Indexed: 10/03/2023] Open
Abstract
We conducted a retrospective, analytical cross-sectional and single-centre study that included 190 hospitalised COVID-19 patients in the Fujian Provincial Hospital South Branch between December 2022 and January 2023 to analyse the correlation of viral loads of throat swabs with clinical progression and outcomes. To normalise the Ct value as quantification of viral loads, we used RNase P gene as internal control gene and subtracted the Ct value of SARS-CoV-2 N gene from the Ct value of RNase P gene, termed △Ct. Most patients were discharged (84.2%), and only 10 (5.6%) individuals who had a lower △Ct value died. The initial △Ct value of participants was also significantly correlated with some abnormal laboratory characteristics, and the duration time of SARS-CoV-2 was longer in patients with severe symptoms and a lower △Ct value at admission. Our study suggested that the △Ct value may be used as a predictor of disease progression and outcomes in hospitalised COVID-19 patients.
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Affiliation(s)
- Lilan Zheng
- Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China
| | - Liping Qiu
- Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China
| | - Luxi Wu
- Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China
| | - Jianwei Wang
- Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China
| | - Haihua Xie
- Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China
| | - Junjun Wang
- Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China
| | - Yi Huang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, Fujian, China
- Central Laboratory, Fujian Provincial Hospital, Fuzhou, Fujian, China
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, China
| | - Fawen Chen
- Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China
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Flisiak R, Zarębska-Michaluk D, Dobrowolska K, Rorat M, Rogalska M, Kryńska JA, Moniuszko-Malinowska A, Czupryna P, Kozielewicz D, Jaroszewicz J, Sikorska K, Bednarska A, Piekarska A, Rzymski P. Change in the Clinical Picture of Hospitalized Patients with COVID-19 between the Early and Late Period of Dominance of the Omicron SARS-CoV-2 Variant. J Clin Med 2023; 12:5572. [PMID: 37685639 PMCID: PMC10488127 DOI: 10.3390/jcm12175572] [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: 07/22/2023] [Revised: 08/23/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
This study aimed to compare the clinical picture of COVID-19 in the initial and later period of Omicron dominance and to identify populations still at risk. A retrospective comparison of the clinical data of 965 patients hospitalized during the early period of Omicron's dominance (EO, January-June 2022) with 897 patients from a later period (LO, July 2022-April 2023) from the SARSTer database was performed. Patients hospitalized during LO, compared to EO, were older, had a better clinical condition on admission, had a lower need for oxygen and mechanical ventilation, had less frequent lung involvement in imaging, and showed much faster clinical improvement. Moreover, the overall mortality during EO was 14%, higher than that in LO-9%. Despite the milder course of the disease, mortality exceeding 15% was similar in both groups among patients with lung involvement. The accumulation of risk factors such as an age of 60+, comorbidities, lung involvement, and oxygen saturation <90% resulted in a constant need for oxygen in 98% of patients, an 8% risk of mechanical ventilation, and a 30% mortality rate in the LO period. Multiple logistic regression revealed lower odds of death during the LO phase. Despite the milder course of infections caused by the currently dominant subvariants, COVID-19 prophylaxis is necessary in people over 60 years of age, especially those with comorbidities, and in the case of pneumonia and respiratory failure.
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Affiliation(s)
- Robert Flisiak
- Department of Infectious Diseases and Hepatology, Medical University of Białystok, 15-540 Białystok, Poland; (R.F.); (M.R.); (J.A.K.)
| | - Dorota Zarębska-Michaluk
- Department of Infectious Diseases and Allergology, Jan Kochanowski University, 25-317 Kielce, Poland;
| | | | - Marta Rorat
- Department of Infectious Diseases and Hepatology, Wrocław Medical University, 51-149 Wrocław, Poland;
- Department of Forensic Medicine, Wrocław Medical University, 50-367 Wrocław, Poland
| | - Magdalena Rogalska
- Department of Infectious Diseases and Hepatology, Medical University of Białystok, 15-540 Białystok, Poland; (R.F.); (M.R.); (J.A.K.)
| | - Justyna Anna Kryńska
- Department of Infectious Diseases and Hepatology, Medical University of Białystok, 15-540 Białystok, Poland; (R.F.); (M.R.); (J.A.K.)
| | - Anna Moniuszko-Malinowska
- Department of Infectious Diseases and Neuroinfections, Medical University of Białystok, 15-809 Białystok, Poland; (A.M.-M.); (P.C.)
| | - Piotr Czupryna
- Department of Infectious Diseases and Neuroinfections, Medical University of Białystok, 15-809 Białystok, Poland; (A.M.-M.); (P.C.)
| | - Dorota Kozielewicz
- Department of Infectious Diseases and Hepatology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 87-100 Toruń, Poland;
| | - Jerzy Jaroszewicz
- Department of Infectious Diseases and Hepatology, Medical University of Silesia in Katowice, 41-902 Bytom, Poland;
| | - Katarzyna Sikorska
- Division of Tropical and Parasitic Diseases, Faculty of Health Sciences, Medical University of Gdańsk, 80-210 Gdańsk, Poland;
| | - Agnieszka Bednarska
- Department of Adult’s Infectious Diseases, Medical University of Warsaw, Hospital for Infectious Diseases, 02-091 Warsaw, Poland;
| | - Anna Piekarska
- Department of Infectious Diseases and Hepatology, Medical University of Łódź, 90-419 Łódź, Poland;
| | - Piotr Rzymski
- Department of Environmental Medicine, Poznań University of Medical Sciences, 60-806 Poznań, Poland;
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21
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Cheong HH, Sio FI, Chan CC, Neng SI, Sam IP, Cheang T, Tou WI, Lei HS, Cheong TF, Lao EPL, Cheong TH, Kuok CU, Lo IL. Clinical characteristics of COVID-19 patients infected by the Omicron variants in Macao, China: A cross-sectional study. Health Sci Rep 2023; 6:e1361. [PMID: 37404450 PMCID: PMC10316466 DOI: 10.1002/hsr2.1361] [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: 01/28/2023] [Revised: 05/26/2023] [Accepted: 06/07/2023] [Indexed: 07/06/2023] Open
Abstract
Background and Aims The evolving mutants of SARS-CoV-2 have made the COVID-19 pandemic sustained for over 3 years. In 2022, BA.4 and BA.5 were the Omicron variants dominating the spread globally. Although COVID-19 was no longer a Public Health Emergency of International Concern (PHEIC) as announced by WHO, the SARS-CoV-2 variants remain a challenge to global healthcare under the circumstances of withdrawal and loosening of personal protective behavior in the post-quarantine era. This study aims to acknowledge the clinical characteristics caused by Omicron BA.4/BA.5 in COVID-19 naive people and analyze possible factors affecting disease severities. Methods In this retrospective study, we report and analyze the clinical features of 1820 COVID-19 patients infected with the BA.4/BA.5 Omicron variants of SARS-CoV-2 during a local outbreak that occurred in Macao SAR, China, from June to July 2022. Results A total of 83.5% of patients were symptomatic eventually. The most common symptoms were fever, cough, and sore throat. Hypertension, dyslipidemia, and diabetes mellitus were the leading comorbidities. There were significantly more elderly patients (p < 0.001), more patients with comorbidity (p < 0.001) and more patients without vaccination or not completing the series (p < 0.001) in the "Severe to Critical" group. All deceased patients were elderly with at least three comorbidities and were partial to totally dependent in their daily lives. Conclusion Our data are consistent with a milder disease caused by BA.4/5 Omicron variants in the general population, while patients with old age and comorbidities have developed severe to critical diseases. Complete vaccination series and booster doses are effective strategies to reinforce protection against severe diseases and avoid mortality.
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22
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Lee JE, Hwang M, Kim YH, Chung MJ, Jeong WG, Sim BH, Jeong YJ. Comparison of Clinical Outcomes and Imaging Features in Hospitalized Patients with SARS-CoV-2 Omicron Subvariants. Radiology 2023; 308:e230653. [PMID: 37462497 DOI: 10.1148/radiol.230653] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
Background Differences in the clinical and radiological characteristics of SARS-CoV-2 Omicron subvariants have not been well studied. Purpose To compare clinical disease severity and radiologically severe pneumonia in patients with COVID-19 hospitalized during a period of either Omicron BA.1/BA.2 or Omicron BA.5 subvariant predominance. Materials and Methods This multicenter retrospective study, included patients registered in the Korean Imaging Cohort of COVID-19 database who were hospitalized for COVID-19 between January and December 2022. Publicly available relative variant genome frequency data were used to determine the dominant periods of Omicron BA.1/BA.2 subvariants (January 17 to June 20, 2022) and the Omicron BA.5 subvariant (July 4 to December 5, 2022). Clinical outcomes and imaging pneumonia outcomes based on chest radiography and CT were compared among predominant subvariants using multivariable analyses adjusted for covariates. Results Of 1916 confirmed patients with COVID-19 (mean age, 72 years ± 16 [SD]; 1019 males), 1269 were registered during the Omicron BA.1/BA.2 subvariant dominant period and 647 during the Omicron BA.5 subvariant dominant period. Patients in the BA.5 group showed lower odds of high-flow O2 requirement (adjusted odds ratio [OR], 0.75 [95% CI: 0.57, 0.99]; P = .04), mechanical ventilation (adjusted OR, 0.49 [95% CI: 0.34, 0.72]; P < .001]), and death (adjusted OR, 0.47 [95% CI: 0.33, 0.68]; P <.001) than those in the BA.1/BA.2 group. Additionally, the BA.5 group had lower odds of severe pneumonia on chest radiographs (adjusted OR, 0.68 [95% CI: 0.53, 0.88]; P = .004) and higher odds of atypical pattern pneumonia on CT images (adjusted OR, 1.81 [95% CI: 1.26, 2.58]; P = .001) than the BA.1/BA.2 group. Conclusions Patients hospitalized during the period of Omicron BA.5 subvariant predominance had lower odds of clinical and pneumonia severity than those hospitalized during the period of Omicron BA.1/BA.2 predominance, even after adjusting for covariates. See also the editorial by Hammer in this issue.
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Affiliation(s)
- Jong Eun Lee
- Department of Radiology, Chonnam National University Hospital, Gwangju, Korea
| | - Minhee Hwang
- Department of Radiology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, Korea
| | - Yun-Hyeon Kim
- Department of Radiology, Chonnam National University Hospital, Gwangju, Korea
| | - Myung Jin Chung
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Gi Jeong
- Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Byeong Hak Sim
- Department of Radiology, Chonnam National University Hospital, Gwangju, Korea
| | - Yeon Joo Jeong
- Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
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23
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Hoffmann M, Wong LYR, Arora P, Zhang L, Rocha C, Odle A, Nehlmeier I, Kempf A, Richter A, Halwe NJ, Schön J, Ulrich L, Hoffmann D, Beer M, Drosten C, Perlman S, Pöhlmann S. Omicron subvariant BA.5 efficiently infects lung cells. Nat Commun 2023; 14:3500. [PMID: 37311762 PMCID: PMC10262933 DOI: 10.1038/s41467-023-39147-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 05/26/2023] [Indexed: 06/15/2023] Open
Abstract
The SARS-CoV-2 Omicron subvariants BA.1 and BA.2 exhibit reduced lung cell infection relative to previously circulating SARS-CoV-2 variants, which may account for their reduced pathogenicity. However, it is unclear whether lung cell infection by BA.5, which displaced these variants, remains attenuated. Here, we show that the spike (S) protein of BA.5 exhibits increased cleavage at the S1/S2 site and drives cell-cell fusion and lung cell entry with higher efficiency than its counterparts from BA.1 and BA.2. Increased lung cell entry depends on mutation H69Δ/V70Δ and is associated with efficient replication of BA.5 in cultured lung cells. Further, BA.5 replicates in the lungs of female Balb/c mice and the nasal cavity of female ferrets with much higher efficiency than BA.1. These results suggest that BA.5 has acquired the ability to efficiently infect lung cells, a prerequisite for causing severe disease, suggesting that evolution of Omicron subvariants can result in partial loss of attenuation.
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Affiliation(s)
- Markus Hoffmann
- Infection Biology Unit, German Primate Center - Leibniz Institute for Primate Research, Göttingen, Germany.
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany.
| | - Lok-Yin Roy Wong
- Departments of Microbiology and Immunology, BSB 3-712, University of Iowa, Iowa City, IA, USA
| | - Prerna Arora
- Infection Biology Unit, German Primate Center - Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Lu Zhang
- Infection Biology Unit, German Primate Center - Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Cheila Rocha
- Infection Biology Unit, German Primate Center - Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Abby Odle
- Departments of Microbiology and Immunology, BSB 3-712, University of Iowa, Iowa City, IA, USA
| | - Inga Nehlmeier
- Infection Biology Unit, German Primate Center - Leibniz Institute for Primate Research, Göttingen, Germany
| | - Amy Kempf
- Infection Biology Unit, German Primate Center - Leibniz Institute for Primate Research, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany
| | - Anja Richter
- Institute of Virology, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Nico Joel Halwe
- Institut für Virusdiagnostik (IVD), Friedrich-Loeffler-Institut, Greifswald - Insel Riems, Germany
| | - Jacob Schön
- Institut für Virusdiagnostik (IVD), Friedrich-Loeffler-Institut, Greifswald - Insel Riems, Germany
| | - Lorenz Ulrich
- Institut für Virusdiagnostik (IVD), Friedrich-Loeffler-Institut, Greifswald - Insel Riems, Germany
| | - Donata Hoffmann
- Institut für Virusdiagnostik (IVD), Friedrich-Loeffler-Institut, Greifswald - Insel Riems, Germany
| | - Martin Beer
- Institut für Virusdiagnostik (IVD), Friedrich-Loeffler-Institut, Greifswald - Insel Riems, Germany
| | - Christian Drosten
- Institute of Virology, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Stanley Perlman
- Departments of Microbiology and Immunology, BSB 3-712, University of Iowa, Iowa City, IA, USA
| | - Stefan Pöhlmann
- Infection Biology Unit, German Primate Center - Leibniz Institute for Primate Research, Göttingen, Germany.
- Faculty of Biology and Psychology, Georg-August-University Göttingen, Göttingen, Germany.
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24
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Pandit R, Matthews QL. A SARS-CoV-2: Companion Animal Transmission and Variants Classification. Pathogens 2023; 12:775. [PMID: 37375465 DOI: 10.3390/pathogens12060775] [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: 01/20/2023] [Revised: 05/19/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023] Open
Abstract
The continuous emergence of novel viruses and their diseases are a threat to global public health as there have been three outbreaks of coronaviruses that are highly pathogenic to humans in the span of the last two decades, severe acute respiratory syndrome (SARS)-CoV in 2002, Middle East respiratory syndrome (MERS)-CoV in 2012, and novel SARS-CoV-2 which emerged in 2019. The unprecedented spread of SARS-CoV-2 worldwide has given rise to multiple SARS-CoV-2 variants that have either altered transmissibility, infectivity, or immune escaping ability, causing diseases in a broad range of animals including human and non-human hosts such as companion, farm, zoo, or wild animals. In this review, we have discussed the recent SARS-CoV-2 outbreak, potential animal reservoirs, and natural infections in companion and farm animals, with a particular focus on SARS-CoV-2 variants. The expeditious development of COVID-19 vaccines and the advancements in antiviral therapeutics have contained the COVID-19 pandemic to some extent; however, extensive research and surveillance concerning viral epidemiology, animal transmission, variants, or seroprevalence in diverse hosts are essential for the future eradication of COVID-19.
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Affiliation(s)
- Rachana Pandit
- Microbiology Program, Department of Biological Sciences, College of Science, Technology, Engineering and Mathematics, Alabama State University, Montgomery, AL 36104, USA
| | - Qiana L Matthews
- Microbiology Program, Department of Biological Sciences, College of Science, Technology, Engineering and Mathematics, Alabama State University, Montgomery, AL 36104, USA
- Department of Biological Sciences, College of Science, Technology, Engineering and Mathematics, Alabama State University, Montgomery, AL 36104, USA
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25
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Vicenti I, Basso M, Pirola N, Bragato B, Rossi MC, Giobbia M, Pascoli S, Vinci A, Caputo S, Varasi I, Biba C, Fiaschi L, Zazzi M, Parisi SG. SARS-CoV-2 Neutralizing Antibodies to B.1 and to BA.5 Variant after Booster Dose of BNT162b2 Vaccine in HIV Patients COVID-Naïve and on Successful Antiretroviral Therapy. Vaccines (Basel) 2023; 11:vaccines11040871. [PMID: 37112782 PMCID: PMC10144758 DOI: 10.3390/vaccines11040871] [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: 03/23/2023] [Revised: 04/14/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
Live virus neutralization is the gold standard to investigate immunity. This prospective observational study aimed to determine the magnitude of response against the original B.1 lineage and against the BA.5 lineage six months after the third BNT162b2 mRNA vaccine dose in patients with HIV infection on successful antiretroviral treatment and no previous SARS-CoV-2 infection. A total of 100 subjects (M/F 83/17, median age 54 years) were included in the analysis: 95 had plasma HIV RNA <40 copies/mL, the median CD4+ T cell count at the administration of the third dose was 580 cells/mm3, and the median nadir CD4+ T cell count was 258 cells/mm3. Neutralizing antibodies (NtAb) against B.1 were detectable in all the subjects, but those to BA.5 were only detected in 88 (p < 0.001). The median NtAb titer to B.1 was significantly higher than that to BA.5 (393 vs. 60, p < 0.0001), and there was a strong positive correlation between the paired measurements (p < 0.0001). Linear regression on a subset of 87 patients excluding outlier NtAb titers showed that 48% of the changes in NtAb titers to BA.5 are related to the changes in value titers to B.1. SARS-CoV-2 variants evolve rapidly, challenging the efficacy of vaccines, and data on comparative NtAb responses may help in tailoring intervals between vaccine doses and in predicting vaccine efficacy.
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Affiliation(s)
- Ilaria Vicenti
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Monica Basso
- Department of Molecular Medicine, University of Padova, 35100 Padova, Italy
| | - Nicole Pirola
- Department of Molecular Medicine, University of Padova, 35100 Padova, Italy
| | - Beatrice Bragato
- Department of Molecular Medicine, University of Padova, 35100 Padova, Italy
| | | | - Mario Giobbia
- Infectious Diseases Unit, Treviso Hospital, 31100 Treviso, Italy
| | - Susanna Pascoli
- Microbiology Unit, Department of Specialist and Laboratory Medicine, Ca' Foncello University Hospital, 31100 Treviso, Italy
| | - Antonio Vinci
- Hospital Health Management Area, Local Health Authority "Roma 1", Borgo Santo Spirito 3, 00193 Rome, Italy
| | - Sara Caputo
- Department of Molecular Medicine, University of Padova, 35100 Padova, Italy
| | - Ilenia Varasi
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Camilla Biba
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Lia Fiaschi
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Maurizio Zazzi
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
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26
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Jassat W, Abdool Karim SS, Ozougwu L, Welch R, Mudara C, Masha M, Rousseau P, Wolmarans M, Selikow A, Govender N, Walaza S, von Gottberg A, Wolter N, Terrence Pisa P, Sanne I, Govender S, Blumberg L, Cohen C, Groome MJ. Trends in Cases, Hospitalizations, and Mortality Related to the Omicron BA.4/BA.5 Subvariants in South Africa. Clin Infect Dis 2023; 76:1468-1475. [PMID: 36453094 PMCID: PMC10110264 DOI: 10.1093/cid/ciac921] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/16/2022] [Accepted: 11/23/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND In this study, we compared admission incidence risk and the risk of mortality in the Omicron BA.4/BA.5 wave to previous waves. METHODS Data from South Africa's SARS-CoV-2 case linelist, national COVID-19 hospital surveillance system, and Electronic Vaccine Data System were linked and analyzed. Wave periods were defined when the country passed a weekly incidence of 30 cases/100 000 population. In-hospital case fatality ratios (CFRs) during the Delta, Omicron BA.1/BA.2, and Omicron BA.4/BA.5 waves were compared using post-imputation random effect multivariable logistic regression models. RESULTS The CFR was 25.9% (N = 37 538 of 144 778), 10.9% (N = 6123 of 56 384), and 8.2% (N = 1212 of 14 879) in the Delta, Omicron BA.1/BA.2, and Omicron BA.4/BA.5 waves, respectively. After adjusting for age, sex, race, comorbidities, health sector, and province, compared with the Omicron BA.4/BA.5 wave, patients had higher risk of mortality in the Omicron BA.1/BA.2 wave (adjusted odds ratio [aOR], 1.3; 95% confidence interval [CI]: 1.2-1.4) and Delta wave (aOR, 3.0; 95% CI: 2.8-3.2). Being partially vaccinated (aOR, 0.9; 95% CI: .9-.9), fully vaccinated (aOR, 0.6; 95% CI: .6-.7), and boosted (aOR, 0.4; 95% CI: .4-.5) and having prior laboratory-confirmed infection (aOR, 0.4; 95% CI: .3-.4) were associated with reduced risks of mortality. CONCLUSIONS Overall, admission incidence risk and in-hospital mortality, which had increased progressively in South Africa's first 3 waves, decreased in the fourth Omicron BA.1/BA.2 wave and declined even further in the fifth Omicron BA.4/BA.5 wave. Mortality risk was lower in those with natural infection and vaccination, declining further as the number of vaccine doses increased.
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Affiliation(s)
- Waasila Jassat
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Pretoria, South Africa
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Lovelyn Ozougwu
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Pretoria, South Africa
| | - Richard Welch
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Pretoria, South Africa
| | - Caroline Mudara
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Maureen Masha
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Pretoria, South Africa
| | | | | | - Anthony Selikow
- Council for Scientific and Industrial Research, Pretoria, South Africa
| | - Nevashan Govender
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sibongile Walaza
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Pedro Terrence Pisa
- Right to Care, Pretoria, South Africa
- Department of Human Nutrition and Dietetics, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Ian Sanne
- Right to Care, Pretoria, South Africa
- Clinical HIV Research Unit, Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Lucille Blumberg
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Pretoria, South Africa
| | - Cheryl Cohen
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Michelle J Groome
- National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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27
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Cohen C, Pulliam J. COVID-19 infection, reinfection, and the transition to endemicity. Lancet 2023; 401:798-800. [PMID: 36930672 PMCID: PMC9934854 DOI: 10.1016/s0140-6736(22)02634-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/20/2022] [Indexed: 02/18/2023]
Affiliation(s)
- Cheryl Cohen
- Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg 2193, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Juliet Pulliam
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa
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28
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Nielsen SS, Alvarez J, Bicout DJ, Calistri P, Canali E, Drewe JA, Garin‐Bastuji B, Gonzales Rojas JL, Gortázar C, Herskin M, Michel V, Miranda Chueca MÁ, Padalino B, Pasquali P, Roberts HC, Spoolder H, Velarde A, Viltrop A, Winckler C, Adlhoch C, Aznar I, Baldinelli F, Boklund A, Broglia A, Gerhards N, Mur L, Nannapaneni P, Ståhl K. SARS-CoV-2 in animals: susceptibility of animal species, risk for animal and public health, monitoring, prevention and control. EFSA J 2023; 21:e07822. [PMID: 36860662 PMCID: PMC9968901 DOI: 10.2903/j.efsa.2023.7822] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023] Open
Abstract
The epidemiological situation of SARS-CoV-2 in humans and animals is continually evolving. To date, animal species known to transmit SARS-CoV-2 are American mink, raccoon dog, cat, ferret, hamster, house mouse, Egyptian fruit bat, deer mouse and white-tailed deer. Among farmed animals, American mink have the highest likelihood to become infected from humans or animals and further transmit SARS-CoV-2. In the EU, 44 outbreaks were reported in 2021 in mink farms in seven MSs, while only six in 2022 in two MSs, thus representing a decreasing trend. The introduction of SARS-CoV-2 into mink farms is usually via infected humans; this can be controlled by systematically testing people entering farms and adequate biosecurity. The current most appropriate monitoring approach for mink is the outbreak confirmation based on suspicion, testing dead or clinically sick animals in case of increased mortality or positive farm personnel and the genomic surveillance of virus variants. The genomic analysis of SARS-CoV-2 showed mink-specific clusters with a potential to spill back into the human population. Among companion animals, cats, ferrets and hamsters are those at highest risk of SARS-CoV-2 infection, which most likely originates from an infected human, and which has no or very low impact on virus circulation in the human population. Among wild animals (including zoo animals), mostly carnivores, great apes and white-tailed deer have been reported to be naturally infected by SARS-CoV-2. In the EU, no cases of infected wildlife have been reported so far. Proper disposal of human waste is advised to reduce the risks of spill-over of SARS-CoV-2 to wildlife. Furthermore, contact with wildlife, especially if sick or dead, should be minimised. No specific monitoring for wildlife is recommended apart from testing hunter-harvested animals with clinical signs or found-dead. Bats should be monitored as a natural host of many coronaviruses.
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Zsichla L, Müller V. Risk Factors of Severe COVID-19: A Review of Host, Viral and Environmental Factors. Viruses 2023; 15:175. [PMID: 36680215 PMCID: PMC9863423 DOI: 10.3390/v15010175] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/04/2023] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
The clinical course and outcome of COVID-19 are highly variable, ranging from asymptomatic infections to severe disease and death. Understanding the risk factors of severe COVID-19 is relevant both in the clinical setting and at the epidemiological level. Here, we provide an overview of host, viral and environmental factors that have been shown or (in some cases) hypothesized to be associated with severe clinical outcomes. The factors considered in detail include the age and frailty, genetic polymorphisms, biological sex (and pregnancy), co- and superinfections, non-communicable comorbidities, immunological history, microbiota, and lifestyle of the patient; viral genetic variation and infecting dose; socioeconomic factors; and air pollution. For each category, we compile (sometimes conflicting) evidence for the association of the factor with COVID-19 outcomes (including the strength of the effect) and outline possible action mechanisms. We also discuss the complex interactions between the various risk factors.
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Affiliation(s)
- Levente Zsichla
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Viktor Müller
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
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Daramola O, Kavu TD, Kotze MJ, Kamati O, Emjedi Z, Kabaso B, Moser T, Stroetmann K, Fwemba I, Daramola F, Nyirenda M, van Rensburg SJ, Nyasulu PS, Marnewick JL. Detecting the most critical clinical variables of COVID-19 breakthrough infection in vaccinated persons using machine learning. Digit Health 2023; 9:20552076231207593. [PMID: 37936960 PMCID: PMC10627023 DOI: 10.1177/20552076231207593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/28/2023] [Indexed: 11/09/2023] Open
Abstract
Background COVID-19 vaccines offer different levels of immune protection but do not provide 100% protection. Vaccinated persons with pre-existing comorbidities may be at an increased risk of SARS-CoV-2 breakthrough infection or reinfection. The aim of this study is to identify the critical variables associated with a higher probability of SARS-CoV-2 breakthrough infection using machine learning. Methods A dataset comprising symptoms and feedback from 257 persons, of whom 203 were vaccinated and 54 unvaccinated, was used for the investigation. Three machine learning algorithms - Deep Multilayer Perceptron (Deep MLP), XGBoost, and Logistic Regression - were trained with the original (imbalanced) dataset and the balanced dataset created by using the Random Oversampling Technique (ROT), and the Synthetic Minority Oversampling Technique (SMOTE). We compared the performance of the classification algorithms when the features highly correlated with breakthrough infection were used and when all features in the dataset were used. Result The results show that when highly correlated features were considered as predictors, with Random Oversampling to address data imbalance, the XGBoost classifier has the best performance (F1 = 0.96; accuracy = 0.96; AUC = 0.98; G-Mean = 0.98; MCC = 0.88). The Deep MLP had the second best performance (F1 = 0.94; accuracy = 0.94; AUC = 0.92; G-Mean = 0.70; MCC = 0.42), while Logistic Regression had less accurate performance (F1 = 0.89; accuracy = 0.88; AUC = 0.89; G-Mean = 0.89; MCC = 0.68). We also used Shapley Additive Explanations (SHAP) to investigate the interpretability of the models. We found that body temperature, total cholesterol, glucose level, blood pressure, waist circumference, body weight, body mass index (BMI), haemoglobin level, and physical activity per week are the most critical variables indicating a higher risk of breakthrough infection. Conclusion These results, evident from our unique data source derived from apparently healthy volunteers with cardiovascular risk factors, follow the expected pattern of positive or negative correlations previously reported in the literature. This information strengthens the body of knowledge currently applied in public health guidelines and may also be used by medical practitioners in the future to reduce the risk of SARS-CoV-2 breakthrough infection.
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Affiliation(s)
- Olawande Daramola
- Department of Information Technology, Faculty of Informatics and Design, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Tatenda Duncan Kavu
- Department of Information Technology, Faculty of Informatics and Design, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Maritha J Kotze
- Division of Chemical Pathology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Division of Chemical Pathology, Department of Pathology, National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa
| | - Oiva Kamati
- Applied Microbial and Health Biotechnology Institute (AMHBI), Cape Peninsula University of Technology, Cape Town, South Africa
- Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Zaakiyah Emjedi
- Applied Microbial and Health Biotechnology Institute (AMHBI), Cape Peninsula University of Technology, Cape Town, South Africa
| | - Boniface Kabaso
- Department of Information Technology, Faculty of Informatics and Design, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Thomas Moser
- St. Pölten University of Applied Sciences, St. Pölten, Austria
| | - Karl Stroetmann
- School of Health Information Science, University of Victoria, Victoria, BC, Canada
| | - Isaac Fwemba
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Fisayo Daramola
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Martha Nyirenda
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Susan J van Rensburg
- Division of Chemical Pathology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Peter S Nyasulu
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Jeanine L Marnewick
- Applied Microbial and Health Biotechnology Institute (AMHBI), Cape Peninsula University of Technology, Cape Town, South Africa
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Xiang T, Wang J, Zheng X. The humoral and cellular immune evasion of SARS-CoV-2 Omicron and sub-lineages. Virol Sin 2022; 37:786-795. [PMID: 36427646 PMCID: PMC9681989 DOI: 10.1016/j.virs.2022.11.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/18/2022] [Indexed: 11/24/2022] Open
Abstract
The recently discovered SARS-CoV-2 variant Omicron (B.1.1.529) has rapidly become a global public health issue. The substantial mutations in the spike protein in this new variant have raised concerns about its ability to escape from pre-existing immunity established by natural infection or vaccination. In this review, we give a summary of current knowledge concerning the antibody evasion properties of Omicron and its subvariants (BA.2, BA.2.12.1, BA.4/5, and BA.2.75) from therapeutic monoclonal antibodies and the sera of SARS-CoV-2 vaccine recipients or convalescent patients. We also summarize whether vaccine-induced cellular immunity (memory B cell and T cell response) can recognize Omicron specifically. In brief, the Omicron variants demonstrated remarkable antibody evasion, with even more striking antibody escape seen in the Omicron BA.4 and BA.5 sub-lineages. Luckily, the third booster vaccine dose significantly increased the neutralizing antibodies titers, and the vaccine-induced cellular response remains conserved and provides second-line defense against the Omicron.
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Affiliation(s)
- Tiandan Xiang
- Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Junzhong Wang
- Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Xin Zheng
- Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan 430022, China.
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Tian D, Nie W, Sun Y, Ye Q. The Epidemiological Features of the SARS-CoV-2 Omicron Subvariant BA.5 and Its Evasion of the Neutralizing Activity of Vaccination and Prior Infection. Vaccines (Basel) 2022; 10:1699. [PMID: 36298564 PMCID: PMC9612321 DOI: 10.3390/vaccines10101699] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 11/21/2022] Open
Abstract
From December 2021 to May 2022, the Omicron BA.1 and BA.2 subvariants successively became the most dominant strains in many countries around the world. Subsequently, Omicron subvariants have emerged, and Omicron has been classified into five main lineages, including BA.1, BA.2, BA.3, BA.4, BA.5, and some sublineages (BA.1.1, BA.2.12.1, BA.2.11, BA.2.75, BA.4.6, BA.5.1, and BA.5.2). The recent emergence of several Omicron subvariants has generated new concerns about further escape from immunity induced by prior infection and vaccination and the creation of new COVID-19 waves globally. In particular, BA.5 (first found in southern Africa, February 2022) displays a higher transmissibility than other Omicron subvariants and is replacing the previously circulating BA.1 and BA.2 in several countries.
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Affiliation(s)
| | | | | | - Qing Ye
- Department of Clinical Laboratory, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, Hangzhou 310052, China
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