Human B cell lineages associated with germinal centers following influenza vaccination are measurably evolving.

B cell B cell receptor computational biology human immunology inflammation measurable evolution phylogenetics somatic hypermutation systems biology temporal evolution

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
17 11 2021
Historique:
received: 01 06 2021
accepted: 11 11 2021
pubmed: 18 11 2021
medline: 22 1 2022
entrez: 17 11 2021
Statut: epublish

Résumé

The poor efficacy of seasonal influenza virus vaccines is often attributed to pre-existing immunity interfering with the persistence and maturation of vaccine-induced B cell responses. We previously showed that a subset of vaccine-induced B cell lineages are recruited into germinal centers (GCs) following vaccination, suggesting that affinity maturation of these lineages against vaccine antigens can occur. However, it remains to be determined whether seasonal influenza vaccination stimulates additional evolution of vaccine-specific lineages, and previous work has found no significant increase in somatic hypermutation among influenza-binding lineages sampled from the blood following seasonal vaccination in humans. Here, we investigate this issue using a phylogenetic test of measurable immunoglobulin sequence evolution. We first validate this test through simulations and survey measurable evolution across multiple conditions. We find significant heterogeneity in measurable B cell evolution across conditions, with enrichment in primary response conditions such as HIV infection and early childhood development. We then show that measurable evolution following influenza vaccination is highly compartmentalized: while lineages in the blood are rarely measurably evolving following influenza vaccination, lineages containing GC B cells are frequently measurably evolving. Many of these lineages appear to derive from memory B cells. We conclude from these findings that seasonal influenza virus vaccination can stimulate additional evolution of responding B cell lineages, and imply that the poor efficacy of seasonal influenza vaccination is not due to a complete inhibition of vaccine-specific B cell evolution. When the immune system encounters a disease-causing pathogen, it releases antibodies that can bind to specific regions of the bacterium or virus and help to clear the infection. These proteins are generated by B cells which, upon detecting the pathogen, can begin to mutate and alter the structure of the antibody they produce: the better the antibody is at binding to the pathogen, the more likely the B cell is to survive. This process of evolution produces B cells that make more effective antibodies. After the infection, some of these cells become ‘memory B cells’ which can be stimulated in to action when the pathogen invades again. Many vaccines also depend on this process to trigger the production of memory B cells that can fight off a specific disease-causing agent. However, it is unclear to what extent memory B cells that already exist are able to continue to evolve and modify their antibodies. This is particularly important for the flu vaccine, as the virus that causes influenza rapidly mutates. To provide high levels of protection, the memory B cells formed following the vaccine may therefore need to evolve to make different antibodies that recognize mutated forms of the virus. It is thought that the low effectiveness of the flu vaccine is partially because the response it triggers does not stimulate additional evolution of memory B cells. To test this theory, Hoehn et al. developed a computational method that can detect the evolution of B cells over time. The tool was applied to samples collected from the blood and lymph nodes (organ where immune cells reside) of people who recently received the flu vaccine. The results were then compared to B cells taken from people after different infections, vaccinations, and other conditions. Hoehn et al. found the degree to which B cells evolve varies significantly between conditions. For example, B cells produced during chronic HIV infections frequently evolved over time, while such evolution was rarely observed during the autoimmune disease myasthenia gravis. The analysis also showed that memory B cells produced by the flu vaccine were able to evolve if recruited to the lymph nodes, but this was rarely detected in B cells in the blood. These findings suggest the low efficacy of the flu vaccine is not due to a complete lack of B cell evolution, but likely due to other factors. For instance, it is possible the evolutionary process it stimulates is not as robust as in other conditions, or is less likely to produce long-lived B cells that release antibodies. More research is needed to explore these ideas and could lead to the development of more effective flu vaccines.

Autres résumés

Type: plain-language-summary (eng)
When the immune system encounters a disease-causing pathogen, it releases antibodies that can bind to specific regions of the bacterium or virus and help to clear the infection. These proteins are generated by B cells which, upon detecting the pathogen, can begin to mutate and alter the structure of the antibody they produce: the better the antibody is at binding to the pathogen, the more likely the B cell is to survive. This process of evolution produces B cells that make more effective antibodies. After the infection, some of these cells become ‘memory B cells’ which can be stimulated in to action when the pathogen invades again. Many vaccines also depend on this process to trigger the production of memory B cells that can fight off a specific disease-causing agent. However, it is unclear to what extent memory B cells that already exist are able to continue to evolve and modify their antibodies. This is particularly important for the flu vaccine, as the virus that causes influenza rapidly mutates. To provide high levels of protection, the memory B cells formed following the vaccine may therefore need to evolve to make different antibodies that recognize mutated forms of the virus. It is thought that the low effectiveness of the flu vaccine is partially because the response it triggers does not stimulate additional evolution of memory B cells. To test this theory, Hoehn et al. developed a computational method that can detect the evolution of B cells over time. The tool was applied to samples collected from the blood and lymph nodes (organ where immune cells reside) of people who recently received the flu vaccine. The results were then compared to B cells taken from people after different infections, vaccinations, and other conditions. Hoehn et al. found the degree to which B cells evolve varies significantly between conditions. For example, B cells produced during chronic HIV infections frequently evolved over time, while such evolution was rarely observed during the autoimmune disease myasthenia gravis. The analysis also showed that memory B cells produced by the flu vaccine were able to evolve if recruited to the lymph nodes, but this was rarely detected in B cells in the blood. These findings suggest the low efficacy of the flu vaccine is not due to a complete lack of B cell evolution, but likely due to other factors. For instance, it is possible the evolutionary process it stimulates is not as robust as in other conditions, or is less likely to produce long-lived B cells that release antibodies. More research is needed to explore these ideas and could lead to the development of more effective flu vaccines.

Identifiants

pubmed: 34787567
doi: 10.7554/eLife.70873
pii: 70873
pmc: PMC8741214
doi:
pii:

Substances chimiques

Influenza Vaccines 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIAID NIH HHS
ID : R21 AI139813
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI104739
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI141990
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA009547
Pays : United States
Organisme : NIAID NIH HHS
ID : HHSN272201400006C
Pays : United States

Informations de copyright

© 2021, Hoehn et al.

Déclaration de conflit d'intérêts

KH receives consulting fees from Prellis Biologics, JT is the recipient of a licensing agreement with Abbvie and has received consulting fees from Gerson Lehman Group, FM, RJ, OP No competing interests declared, AE The Ellebedy laboratory received funding under sponsored research agreements from Emergent BioSolutions and AbbVie, SK receives consulting fees from Northrop Grumman and Peraton

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Auteurs

Kenneth B Hoehn (KB)

Department of Pathology, Yale School of Medicine, New Haven, United States.

Jackson S Turner (JS)

Department of Pathology and Immunology, Washington University School of Medicine, St Louis, United States.

Frederick I Miller (FI)

Worcester Polytechnic Institute, Worcester, United States.

Ruoyi Jiang (R)

Department of Immunobiology, Yale School of Medicine, New Haven, United States.

Oliver G Pybus (OG)

Department of Zoology, University of Oxford, Oxford, United Kingdom.

Ali H Ellebedy (AH)

Department of Pathology and Immunology, Washington University School of Medicine, St Louis, United States.
The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St Louis, United States.

Steven H Kleinstein (SH)

Department of Pathology, Yale School of Medicine, New Haven, United States.
Department of Immunobiology, Yale School of Medicine, New Haven, United States.
Interdepartmental Program in Computational Biology & Bioinformatics, Yale University, New Haven, United States.

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Classifications MeSH