Characterization of Specific Responses to Three Models of Viral Antigens in Immunocompetent Older Adults Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.21203/rs.3.rs-4735076/v1
Background Memory responses to the antigens that an individual encounters throughout life may vary with the intensity and duration of antigen contacts or even changes in immune status over time. This work aims to characterise specific responses to chronic CMV, seasonal influenza and novel SARS-CoV-2 infections in immunocompetent individuals over 60 years of age. Specific cellular and humoral responses were identified by IFN-γ and granzyme-B released by ELISpot and antibody level measurement. T lymphocyte subpopulation phenotypes were characterized by flow cytometry. Results Cellular and humoral responses to these viruses were detected in almost all patients. Influenza and SARS-CoV-2 cellular responses were positively correlated. There was no significant correlation of CMV with influenza or SARS-CoV-2 responses although both were consistently lower in CMV-seropositive patients. CMV responses were negatively correlated with the levels of the least differentiated subsets of T lymphocytes, and positively correlated with the most differentiated ones, contrary to what happened with the influenza responses. Nevertheless, SARS-CoV-2 cellular responses were negatively correlated with the most differentiated CD8+ T lymphocytes, while humoral responses were negatively correlated with the least differentiated T lymphocytes. Responses to the three viruses were correlated with a Th1/Th2/Th17 balance in favour of Th1. Conclusions Results indicate that memory responses differ depending on the durability of the antigen stimulus. Cellular responses to novel pathogens resemble those generated by seasonal but not chronic antigens. Subpopulation distribution and the level of specific T lymphocytes against previous pathogens could be used as immunocompetent status biomarkers in older adults reflecting their ability to generate memory responses to new pathogens.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-4735076/v1
- https://www.researchsquare.com/article/rs-4735076/latest.pdf
- OA Status
- gold
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401746854
Raw OpenAlex JSON
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https://openalex.org/W4401746854Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-4735076/v1Digital Object Identifier
- Title
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Characterization of Specific Responses to Three Models of Viral Antigens in Immunocompetent Older AdultsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-18Full publication date if available
- Authors
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Beatriz Rioseras, Eva Bueno‐García, Alejandra García‐Torre, Rocío López‐Martínez, Marco Antonio Moro‐García, Sara Alonso, Victoria Menéndez-García, Alba Lluna-González, Alejandra Sousa-Fernández, Marta Fernández Gudin, Laura Campos Riopedre, C. Cueto, Ana Belén Pérez Fernández, Ana Alonso Rodríguez, Carla Menéndez Peña, Lara Menéndez Peña, Noelia García Arnaldo, Estefanía Feito Díaz, Adriana Fernández Lorences, Agustín Fraile Manzano, Carolina Fernández Iglesias, José Arturo Rivera, Carmen Pérez Fonseca, Estibaliz Urdiales Ruano, María Debán Fernández, Hugo Mendes Moreira, Pablo Herrero, Rebeca Alonso‐AriasList of authors in order
- Landing page
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https://doi.org/10.21203/rs.3.rs-4735076/v1Publisher landing page
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https://www.researchsquare.com/article/rs-4735076/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.researchsquare.com/article/rs-4735076/latest.pdfDirect OA link when available
- Concepts
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Characterization (materials science), Virology, Antigen, Biology, Computational biology, Immunology, Materials science, NanotechnologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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42Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Responses | 182 |
| abstract_inverted_index.antigens. | 225 |
| abstract_inverted_index.depending | 204 |
| abstract_inverted_index.generated | 219 |
| abstract_inverted_index.influenza | 42, 112, 154 |
| abstract_inverted_index.intensity | 17 |
| abstract_inverted_index.pathogens | 216, 237 |
| abstract_inverted_index.patients. | 95, 123 |
| abstract_inverted_index.responses | 3, 37, 59, 86, 100, 115, 125, 159, 172, 202, 213, 254 |
| abstract_inverted_index.stimulus. | 211 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.SARS-CoV-2 | 45, 98, 114, 157 |
| abstract_inverted_index.biomarkers | 244 |
| abstract_inverted_index.correlated | 128, 142, 162, 175, 188 |
| abstract_inverted_index.cytometry. | 81 |
| abstract_inverted_index.durability | 207 |
| abstract_inverted_index.encounters | 10 |
| abstract_inverted_index.granzyme-B | 65 |
| abstract_inverted_index.identified | 61 |
| abstract_inverted_index.individual | 9 |
| abstract_inverted_index.infections | 46 |
| abstract_inverted_index.lymphocyte | 74 |
| abstract_inverted_index.negatively | 127, 161, 174 |
| abstract_inverted_index.pathogens. | 257 |
| abstract_inverted_index.phenotypes | 76 |
| abstract_inverted_index.positively | 102, 141 |
| abstract_inverted_index.reflecting | 248 |
| abstract_inverted_index.responses. | 155 |
| abstract_inverted_index.throughout | 11 |
| abstract_inverted_index.Conclusions | 197 |
| abstract_inverted_index.correlated. | 103 |
| abstract_inverted_index.correlation | 108 |
| abstract_inverted_index.individuals | 49 |
| abstract_inverted_index.lymphocytes | 234 |
| abstract_inverted_index.significant | 107 |
| abstract_inverted_index.Th1/Th2/Th17 | 191 |
| abstract_inverted_index.characterise | 35 |
| abstract_inverted_index.consistently | 119 |
| abstract_inverted_index.distribution | 227 |
| abstract_inverted_index.lymphocytes, | 139, 169 |
| abstract_inverted_index.lymphocytes. | 181 |
| abstract_inverted_index.measurement. | 72 |
| abstract_inverted_index.Nevertheless, | 156 |
| abstract_inverted_index.Subpopulation | 226 |
| abstract_inverted_index.characterized | 78 |
| abstract_inverted_index.subpopulation | 75 |
| abstract_inverted_index.differentiated | 135, 146, 166, 179 |
| abstract_inverted_index.CD8<sup>+</sup> | 167 |
| abstract_inverted_index.immunocompetent | 48, 242 |
| abstract_inverted_index.CMV-seropositive | 122 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 28 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.2021622 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |