Immune dysfunction prior to and during vaccination in multiple myeloma: a case study based on COVID-19.
Esperanza Martin-SanchezLuis Esteban Tamariz-AmadorCamilla GuerreroAnastasiia ZherniakovaAintzane ZabaletaCatarina MaiaLaura BlancoDiego AlignaniMaria-Antonia FortuñoCarlos GrandeAndrea ManubensJose-Maria ArguiñanoClara GomezErnesto Perez-PersonaIñigo OlazabalItziar OiartzabalCarlos PanizoFelipe ProsperJesús San F MiguelPaula Rodriguez OteroJuan José Lahuertanull nullPublished in: Blood cancer journal (2024)
Infection is the leading cause of death in multiple myeloma (MM). However, the cellular composition associated with immune dysfunction is not defined. We analyzed immune profiles in the peripheral blood of patients with MM (n = 28) and B-cell chronic lymphoproliferative disorders (n = 53) vs. health care practitioners (n = 96), using multidimensional and computational flow cytometry. MM patients displayed altered distribution of most cell types (41/56, 73%), particularly within the B-cell (17/17) and T-cell (20/30) compartments. Using COVID-19 as a case study, we compared the immune response to vaccination based on 64,304 data points generated from the analysis of 1099 longitudinal samples. MM patients showed limited B-cell expansion linked to lower anti-RBD and anti-S antibody titers after the first two doses and booster. The percentages of B cells and CD4 + T cells in the blood, as well as the absolute counts of B cells and dendritic cells, predicted vaccine immunogenicity at different time points. In contrast with the humoral response, the percentage and antigen-dependent differentiation of SARS-CoV-2-specific CD8 + T cells was not altered in MM patients. Taken together, this study defined the cellular composition associated with immune dysfunction in MM and provided biomarkers such as the B-cell percentage and absolute count to individualize vaccination calendars.
Keyphrases
- sars cov
- end stage renal disease
- ejection fraction
- healthcare
- newly diagnosed
- dendritic cells
- multiple myeloma
- immune response
- oxidative stress
- prognostic factors
- flow cytometry
- coronavirus disease
- primary care
- patient reported outcomes
- mesenchymal stem cells
- bone marrow
- artificial intelligence
- regulatory t cells
- social media
- cross sectional
- cell therapy
- drug induced