Naive B cells could be useful for predicting vaccination response in immunocompromised

A recent study conducted at the Medical University of Graz, Austria, has revealed that the number of naïve B cells in the blood could independently predict the magnitude of immune response induced by coronavirus disease 2019 (COVID-19) vaccines in immunocompromised patients. The study is currently available on the medRxiv* preprint server.

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

The risk of severe COVID-19 is significantly higher in immunocompromised patients, with a mortality rate of as high as 34%. To reduce the risk of morbidity and mortality, these patients have been prioritized for COVID-19 vaccines. However, a growing pool of evidence has suggested that the magnitude of vaccine-induced immune response is considerably low in immunocompromised patients than in healthy individuals.

Studies have suggested that in patients with measurable levels of peripheral B cells, antibody responses to mRNA-based COVID-19 vaccines can be induced after treatment with rituximab (a medicine used to treat certain types of autoimmune diseases and cancers). Given this observation, the scientists hypothesized that vaccine-induced antibody responses could be associated with the presence of specific B cell subsets in the blood during vaccination.

Study design

The study was conducted on patients with inborn errors of immunity, hematological cancers, and those receiving B cell-depleting therapies. The blood samples were collected from the participants at two time points: before administering mRNA-based COVID-19 vaccines (BNT162b2; BioNTech/Pfizer or mRNA-1273; Moderna) and 21 – 28 days after full vaccination.

Peripheral blood mononuclear cells were isolated from the blood samples for lymphocyte phenotyping. Two separate serological tests were performed to measure the titers of IgG antibodies specifically targeting the spike receptor-binding domain (RBD) or trimeric spike protein.

Important observations

A total of 120 immunocompromised patients and 79 healthy individuals participated in the study. All participants were immunized with two doses of the mRNA-1273 vaccine, with only two healthy individuals receiving the BNT162b2 vaccine. The most commonly reported adverse reactions after vaccination were pain at the injection site, headache, fever, and fatigue.

Vaccine-induced immune responses

After vaccination, all healthy individuals became seropositive with high antibody titers. However, significantly lower seroconversion rates and antibody levels were observed in immunocompromised patients. Specifically, only 32% and 22% of patients exhibited detectable levels of antibodies targeting the spike RBD and trimeric spike, respectively.

The antibody response was lowest in patients who received B cell-depleting therapies. In contrast, the response was relatively higher in patients who underwent hematopoietic stem cell transplantation.

Correlation between B cell levels and antibody response

The highest positive correlation was observed between the number of naïve B cells and antibody levels in all patients. Moreover, the interval between last B cell-depleting therapy and vaccination was identified as a strong predictor of antibody response.

Further statistical analysis involving the entire study population indicated that the antibody response to vaccination could be best predicted by the total numbers of B cells, naive B cells, pre-switch memory B cells, and post-switch memory B cells.      

Compared to healthy participants, immunocompromised patients exhibited a significantly lower number of these B cell subsets. Further analysis with multiple variables indicated that the number of circulating naïve B cells is the only independent predictor of vaccine-induced antibody response. Given this observation, a threshold level of circulating naïve B cells was established, which indicated that at least six naïve B cells per microliter of blood are required to induce an appropriate antibody response to vaccination.

Study significance

The study highlights the functional significance of circulating naïve B cells in inducing humoral immunity in immunocompromised patients who have received mRNA-based COVID-19 vaccines. Moreover, the study indicates that an interval of 116 days is required between the last B cell-depleting therapy and vaccination to induce an appropriate antibody response.   

Since the production of antigen-specific antibodies primarily depends on the presence of antigen-specific B cells within the naïve B cell pool, a depleted level of naïve B cell population is expected to reduce the chance of harboring B cells with a high B-cell receptor/antigen avidity, subsequently leading to low antibody levels in the blood.

Thus, immunocompromised patients receiving B cell-depleting therapy should be vaccinated after a minimum interval of 116 days so that the entire naïve B cell pool can get sufficient time to repopulate.

Journal Reference

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • Apr 12 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Dr. Sanchari Sinha Dutta

Written by

Dr. Sanchari Sinha Dutta

Dr. Sanchari Sinha Dutta is a science communicator who believes in spreading the power of science in every corner of the world. She has a Bachelor of Science (B.Sc.) degree and a Master's of Science (M.Sc.) in biology and human physiology. Following her Master's degree, Sanchari went on to study a Ph.D. in human physiology. She has authored more than 10 original research articles, all of which have been published in world renowned international journals.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Dutta, Sanchari Sinha Dutta. (2023, April 12). Naive B cells could be useful for predicting vaccination response in immunocompromised. News-Medical. Retrieved on December 24, 2024 from https://www.news-medical.net/news/20210817/Naive-B-cells-could-be-useful-for-predicting-vaccination-response-in-immunocompromised.aspx.

  • MLA

    Dutta, Sanchari Sinha Dutta. "Naive B cells could be useful for predicting vaccination response in immunocompromised". News-Medical. 24 December 2024. <https://www.news-medical.net/news/20210817/Naive-B-cells-could-be-useful-for-predicting-vaccination-response-in-immunocompromised.aspx>.

  • Chicago

    Dutta, Sanchari Sinha Dutta. "Naive B cells could be useful for predicting vaccination response in immunocompromised". News-Medical. https://www.news-medical.net/news/20210817/Naive-B-cells-could-be-useful-for-predicting-vaccination-response-in-immunocompromised.aspx. (accessed December 24, 2024).

  • Harvard

    Dutta, Sanchari Sinha Dutta. 2023. Naive B cells could be useful for predicting vaccination response in immunocompromised. News-Medical, viewed 24 December 2024, https://www.news-medical.net/news/20210817/Naive-B-cells-could-be-useful-for-predicting-vaccination-response-in-immunocompromised.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study offers a promising regenerative therapy for osteoarthritis