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Matusali G, Vergori A, Cimini E, Mariotti D, Mazzotta V, Lepri AC, Colavita F, Gagliardini R, Notari S, Meschi S, Fusto M, Tartaglia E, Girardi E, Maggi F, Antinori A. Poor durability of the neutralizing response against XBB sublineages after a bivalent mRNA COVID-19 booster dose in persons with HIV. J Med Virol 2024; 96:e29598. [PMID: 38624044 DOI: 10.1002/jmv.29598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/18/2024] [Accepted: 04/01/2024] [Indexed: 04/17/2024]
Abstract
We estimated the dynamics of the neutralizing response against XBB sublineages and T cell response in persons with HIV (PWH) with previous AIDS and/or CD4 < 200/mm3 receiving the bivalent original strain/BA.4-5 booster dose in fall 2022. Samples were collected before the shot (Day 0), 15 days, 3, and 6 months after. PWH were stratified by immunization status: hybrid immunity (HI; vaccination plus COVID-19) versus nonhybrid immunity (nHI; vaccination only). Fifteen days after the booster, 16% and 30% of PWH were nonresponders in terms of anti-XBB.1.16 or anti-EG.5.1 nAbs, respectively. Three months after, a significant waning of anti-XBB.1.16, EG.5.1 and -XBB.1 nAbs was observed both in HI and nHI but nAbs in HI were higher than in nHI. Six months after both HI and nHI individuals displayed low mean levels of anti-XBB.1.16 and EG.5.1 nAbs. Regarding T cell response, IFN-γ values were stable over time and similar in HI and nHI. Our data showed that in PWH, during the prevalent circulation of the XBB.1.16, EG.5.1, and other XBB sublineages, a mRNA bivalent vaccine might not confer broad protection against them. With a view to the 2023/2024 vaccination campaign, the use of the monovalent XBB.1.5 mRNA vaccine should be urgently warranted in PWH to provide adequate protection.
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Affiliation(s)
- Giulia Matusali
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Alessandra Vergori
- Viral Immunodeficiency Unit, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Eleonora Cimini
- Immunology Unit, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Davide Mariotti
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Valentina Mazzotta
- Viral Immunodeficiency Unit, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Alessandro Cozzi Lepri
- Institute for Global Health, University College of London, Centre for Clinical Research, Epidemiology, Modeling and Evaluation (CREME), London, UK
| | - Francesca Colavita
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Roberta Gagliardini
- Viral Immunodeficiency Unit, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Stefania Notari
- Immunology Unit, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Silvia Meschi
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Marisa Fusto
- Viral Immunodeficiency Unit, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Eleonora Tartaglia
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Enrico Girardi
- Scientific Direction, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Fabrizio Maggi
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
| | - Andrea Antinori
- Viral Immunodeficiency Unit, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy
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He S, Wu K, Cheng Z, He M, Hu R, Fan N, Shen L, Li Q, Fan H, Tong Y. Long COVID: The latest manifestations, mechanisms, and potential therapeutic interventions. MedComm (Beijing) 2022; 3:e196. [PMID: 36514781 PMCID: PMC9732402 DOI: 10.1002/mco2.196] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 12/14/2022] Open
Abstract
COVID-19 caused by SARS-CoV-2 infection affects humans not only during the acute phase of the infection, but also several weeks to 2 years after the recovery. SARS-CoV-2 infects a variety of cells in the human body, including lung cells, intestinal cells, vascular endothelial cells, olfactory epithelial cells, etc. The damages caused by the infections of these cells and enduring immune response are the basis of long COVID. Notably, the changes in gene expression caused by viral infection can also indirectly contribute to long COVID. We summarized the occurrences of both common and uncommon long COVID, including damages to lung and respiratory system, olfactory and taste deficiency, damages to myocardial, renal, muscle, and enduring inflammation. Moreover, we provided potential treatments for long COVID symptoms manifested in different organs and systems, which were based on the pathogenesis and the associations between symptoms in different organs. Importantly, we compared the differences in symptoms and frequency of long COVID caused by breakthrough infection after vaccination and infection with different variants of concern, in order to provide a comprehensive understanding of the characteristics of long COVID and propose improvement for tackling COVID-19.
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Affiliation(s)
- Shi‐ting He
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Kexin Wu
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Zixuan Cheng
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Mengjie He
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Ruolan Hu
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Ning Fan
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Lin Shen
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Qirui Li
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Huahao Fan
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Yigang Tong
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
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Ait Mahiout L, Bessonov N, Kazmierczak B, Volpert V. Mathematical modeling of respiratory viral infection and applications to SARS-CoV-2 progression. Math Methods Appl Sci 2022; 46:MMA8606. [PMID: 36247228 PMCID: PMC9538414 DOI: 10.1002/mma.8606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 06/16/2023]
Abstract
Viral infection in cell culture and tissue is modeled with delay reaction-diffusion equations. It is shown that progression of viral infection can be characterized by the viral replication number, time-dependent viral load, and the speed of infection spreading. These three characteristics are determined through the original model parameters including the rates of cell infection and of virus production in the infected cells. The clinical manifestations of viral infection, depending on tissue damage, correlate with the speed of infection spreading, while the infectivity of a respiratory infection depends on the viral load in the upper respiratory tract. Parameter determination from the experiments on Delta and Omicron variants allows the estimation of the infection spreading speed and viral load. Different variants of the SARS-CoV-2 infection are compared confirming that Omicron is more infectious and has less severe symptoms than Delta variant. Within the same variant, spreading speed (symptoms) correlates with viral load allowing prognosis of disease progression.
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Affiliation(s)
- Latifa Ait Mahiout
- Laboratoire d'équations aux dérivées partielles non linéaires et histoire des mathématiquesEcole Normale SupérieureAlgiersAlgeria
| | - Nikolai Bessonov
- Institute of Problems of Mechanical EngineeringRussian Academy of SciencesSaint PetersburgRussia
| | - Bogdan Kazmierczak
- Institute of Fundamental Technological ResearchPolish Academy of SciencesWarsawPoland
| | - Vitaly Volpert
- Institut Camille Jordan, UMR 5208 CNRSUniversity Lyon 1VilleurbanneFrance
- Peoples' Friendship University of Russia6 Miklukho‐Maklaya StMoscowRussia
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Bignardi E, Brogna C, Capasso C, Brogna B. A fatal case of COVID-19 breakthrough infection due to the delta variant. Clin Case Rep 2022; 10:e05232. [PMID: 35035958 PMCID: PMC8752372 DOI: 10.1002/ccr3.5232] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/09/2021] [Accepted: 12/10/2021] [Indexed: 01/11/2023] Open
Abstract
COVID-19 infections that occur at least 2 weeks after complete vaccination are known as breakthrough infections. Herein, we report a clinical case resembling breakthrough infection that was correlated with a higher score of COVID-19 pneumonia on chest computed tomography (CT) in a patient who resulted positive for the delta variant and who died during the hospitalization.
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Affiliation(s)
| | - Claudia Brogna
- Pediatric Neurology UnitFondazione Policlinico Universitario “A. Gemelli”, IRCSSRomeItaly
- Neuropsychiatric UnitASL AvellinoAvellinoItaly
| | - Chiara Capasso
- Pharmacology Department“Frangipane” HospitalASL AvellinoAriano IrpinoItaly
| | - Barbara Brogna
- Department of RadiologySan Giuseppe Moscati HospitalAvellinoItaly
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