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Wang Z, Muecksch F, Raspe R, Johannsen F, Turroja M, Canis M, ElTanbouly MA, Santos GSS, Johnson B, Baharani VA, Patejak R, Yao KH, Chirco BJ, Millard KG, Shimeliovich I, Gazumyan A, Oliveira TY, Bieniasz PD, Hatziioannou T, Caskey M, Nussenzweig MC. Memory B cell development elicited by mRNA booster vaccinations in the elderly. J Exp Med 2023; 220:e20230668. [PMID: 37368240 DOI: 10.1084/jem.20230668] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/16/2023] [Accepted: 06/02/2023] [Indexed: 06/28/2023] Open
Abstract
Despite mRNA vaccination, elderly individuals remain especially vulnerable to severe consequences of SARS-CoV-2 infection. Here, we compare the memory B cell responses in a cohort of elderly and younger individuals who received mRNA booster vaccinations. Plasma neutralizing potency and breadth were similar between the two groups. By contrast, the absolute number of SARS-CoV-2-specific memory B cells was lower in the elderly. Antibody sequencing revealed that the SARS-CoV-2-specific elderly memory compartments were more clonal and less diverse. Notably, memory antibodies from the elderly preferentially targeted the ACE2-binding site on the RBD, while those from younger individuals targeted less accessible but more conserved epitopes. Nevertheless, individual memory antibodies elicited by booster vaccines in the elderly and younger individuals showed similar levels of neutralizing activity and breadth against SARS-CoV-2 variants. Thus, the relatively diminished protective effects of vaccination against serious disease in the elderly are associated with a smaller number of antigen-specific memory B cells that express altered antibody repertoires.
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Affiliation(s)
- Zijun Wang
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Frauke Muecksch
- Laboratory of Retrovirology, The Rockefeller University , New York, NY, USA
- Department of Infectious Diseases, Virology, University of Heidelberg, Heidelberg, Germany
| | - Raphael Raspe
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Frederik Johannsen
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Martina Turroja
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Marie Canis
- Laboratory of Retrovirology, The Rockefeller University , New York, NY, USA
| | - Mohamed A ElTanbouly
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | | | - Brianna Johnson
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Viren A Baharani
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
- Laboratory of Retrovirology, The Rockefeller University , New York, NY, USA
| | - Rachel Patejak
- Laboratory of Retrovirology, The Rockefeller University , New York, NY, USA
| | - Kai-Hui Yao
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Bennett J Chirco
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Katrina G Millard
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Irina Shimeliovich
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Anna Gazumyan
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Thiago Y Oliveira
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Paul D Bieniasz
- Laboratory of Retrovirology, The Rockefeller University , New York, NY, USA
- Howard Hughes Medical Institute , Maryland, MD, USA
| | | | - Marina Caskey
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
| | - Michel C Nussenzweig
- Laboratory of Molecular Immunology, The Rockefeller University , New York, NY, USA
- Howard Hughes Medical Institute , Maryland, MD, USA
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Effect of Flagellin Pre-Exposure on the Inflammatory and Antifungal Response of Bronchial Epithelial Cells to Fungal Pathogens. J Fungi (Basel) 2022; 8:jof8121268. [PMID: 36547601 PMCID: PMC9782670 DOI: 10.3390/jof8121268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 12/03/2022] Open
Abstract
Bronchial epithelial cells (BEC) play a crucial role in innate immunity against inhaled fungi. Indeed, in response to microorganisms, BEC synthesize proinflammatory cytokines involved in the recruitment of neutrophils. We have recently shown that BEC exert antifungal activity against Aspergillus fumigatus by inhibiting filament growth. In the present study, we first analyzed the inflammatory and antifungal responses of BEC infected by several fungal species such as Aspergillus spp., Scedosporium apiospermum and Candida albicans, which are frequently isolated from the sputum of people with chronic pulmonary diseases. The airways of these patients, such as people with cystic fibrosis (pwCF), are mainly colonized by P. aeruginosa and secondary by fungal pathogens. We have previously demonstrated that BEC are capable of innate immune memory, allowing them to increase their inflammatory response against A. fumigatus following a previous contact with Pseudomonas aeruginosa flagellin. To identify the impact of bacteria exposure on BEC responses to other fungal infections, we extended the analysis of BEC innate immune memory to Aspergillus spp., Scedosporium apiospermum and Candida albicans infection. Our results show that BEC are able to recognize and respond to Aspergillus spp., S. apiospermum and C. albicans infection and that the modulation of BEC responses by pre-exposure to flagellin varies according to the fungal species encountered. Deepening our knowledge of the innate immune memory of BEC should open new therapeutic avenues to modulate the inflammatory response against polymicrobial infections observed in chronic pulmonary diseases such as CF.
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Kelley WJ, Wragg KM, Chen J, Murthy T, Xu Q, Boyne MT, Podojil JR, Elhofy A, Goldstein DR. Nanoparticles reduce monocytes within the lungs to improve outcomes after influenza virus infection in aged mice. JCI Insight 2022; 7:156320. [PMID: 35737459 PMCID: PMC9462478 DOI: 10.1172/jci.insight.156320] [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: 11/02/2021] [Accepted: 06/21/2022] [Indexed: 01/26/2023] Open
Abstract
Older people exhibit dysregulated innate immunity to respiratory viral infections, including influenza and SARS-CoV-2, and show an increase in morbidity and mortality. Nanoparticles are a potential practical therapeutic that could reduce exaggerated innate immune responses within the lungs during viral infection. However, such therapeutics have not been examined for effectiveness during respiratory viral infection, particular in aged hosts. Here, we employed a lethal model of influenza viral infection in vulnerable aged mice to examine the ability of biodegradable, cargo-free nanoparticles, designated ONP-302, to resolve innate immune dysfunction and improve outcomes during infection. We administered ONP-302 via i.v. injection to aged mice at day 3 after infection, when the hyperinflammatory innate immune response was already established. During infection, we found that ONP-302 treatment reduced the numbers of inflammatory monocytes within the lungs and increased their number in both the liver and spleen, without impacting viral clearance. Importantly, cargo-free nanoparticles reduced lung damage, reduced histological lung inflammation, and improved gas exchange and, ultimately, the clinical outcomes in influenza-infected aged mice. In conclusion, ONP-302 improves outcomes in influenza-infected aged mice. Thus, our study provides information concerning a practical therapeutic, which, if translated clinically, could improve disease outcomes for vulnerable older patients suffering from respiratory viral infections.
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Affiliation(s)
| | | | - Judy Chen
- Department of Internal Medicine and,Graduate Program in Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Tushar Murthy
- Research and Development, COUR Pharmaceuticals Development Company Inc., Northbrook, Illinois, USA
| | - Qichen Xu
- Research and Development, COUR Pharmaceuticals Development Company Inc., Northbrook, Illinois, USA
| | - Michael T. Boyne
- Research and Development, COUR Pharmaceuticals Development Company Inc., Northbrook, Illinois, USA
| | - Joseph R. Podojil
- Research and Development, COUR Pharmaceuticals Development Company Inc., Northbrook, Illinois, USA
| | - Adam Elhofy
- Research and Development, COUR Pharmaceuticals Development Company Inc., Northbrook, Illinois, USA
| | - Daniel R. Goldstein
- Department of Internal Medicine and,Graduate Program in Immunology, University of Michigan, Ann Arbor, Michigan, USA.,Department of Microbiology and Immunology, University of Michigan, Michigan, USA
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Jung C, Excoffier JB, Raphaël-Rousseau M, Salaün-Penquer N, Ortala M, Chouaid C. Evolution of hospitalized patient characteristics through the first three COVID-19 waves in Paris area using machine learning analysis. PLoS One 2022; 17:e0263266. [PMID: 35192649 PMCID: PMC8863256 DOI: 10.1371/journal.pone.0263266] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 01/14/2022] [Indexed: 12/16/2022] Open
Abstract
Characteristics of patients at risk of developing severe forms of COVID-19 disease have been widely described, but very few studies describe their evolution through the following waves. Data was collected retrospectively from a prospectively maintained database from a University Hospital in Paris area, over a year corresponding to the first three waves of COVID-19 in France. Evolution of patient characteristics between non-severe and severe cases through the waves was analyzed with a classical multivariate logistic regression along with a complementary Machine-Learning-based analysis using explainability methods. On 1076 hospitalized patients, severe forms concerned 29% (123/429), 31% (66/214) and 18% (79/433) of each wave. Risk factors of the first wave included old age (≥ 70 years), male gender, diabetes and obesity while cardiovascular issues appeared to be a protective factor. Influence of age, gender and comorbidities on the occurrence of severe COVID-19 was less marked in the 3rd wave compared to the first 2, and the interactions between age and comorbidities less important. Typology of hospitalized patients with severe forms evolved rapidly through the waves. This evolution may be due to the changes of hospital practices and the early vaccination campaign targeting the people at high risk such as elderly and patients with comorbidities.
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Affiliation(s)
- Camille Jung
- Clinical Research Center, CHI Créteil, Créteil, France
| | | | | | | | | | - Christos Chouaid
- Department of pneumology, CHI Créteil, Créteil, France
- Inserm U955, UPEC, IMRB, Créteil, France
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