tetano
Editor, Senior Moderator
Clin Immunol
. 2024 Jul 30:110333.
doi: 10.1016/j.clim.2024.110333. Online ahead of print. Patient subtyping analysis of baseline multi-omic data reveals distinct pre-immune states associated with antibody response to seasonal influenza vaccination
Cigdem Sevim Bayrak[SUP] 1 [/SUP], Christian V Forst[SUP] 2 [/SUP], Drew R Jones[SUP] 3 [/SUP], David J Gresham[SUP] 4 [/SUP], Smruti Pushalkar[SUP] 4 [/SUP], Shaohuan Wu[SUP] 4 [/SUP], Christine Vogel[SUP] 4 [/SUP], Lara K Mahal[SUP] 5 [/SUP], Elodie Ghedin[SUP] 6 [/SUP], Ted Ross[SUP] 7 [/SUP], Adolfo García-Sastre[SUP] 8 [/SUP], Bin Zhang[SUP] 9 [/SUP]
Affiliations
Understanding the molecular mechanisms underpinning diverse vaccination responses is critical for developing efficient vaccines. Molecular subtyping can offer insights into heterogeneous nature of responses and aid in vaccine design. We analyzed multi-omic data from 62 haemagglutinin seasonal influenza vaccine recipients (2019-2020), including transcriptomics, proteomics, glycomics, and metabolomics data collected pre-vaccination. We performed a subtyping analysis on the integrated data revealing five subtypes with distinct molecular signatures. These subtypes differed in the expression of pre-existing adaptive or innate immunity signatures, which were linked to significant variation in baseline immunoglobulin A (IgA) and hemagglutination inhibition (HAI) titer levels. It is worth noting that these differences persisted through day 28 post-vaccination, indicating the effect of initial immune state on vaccination response. These findings highlight the significance of interpersonal variation in baseline immune status as a crucial factor in determining the effectiveness of seasonal vaccines. Ultimately, incorporating molecular profiling could enable personalized vaccine optimization.
Keywords: Antibody response; Existing immunity; Influenza; Molecular subtyping; Multi-omic integration; Vaccine.
. 2024 Jul 30:110333.
doi: 10.1016/j.clim.2024.110333. Online ahead of print. Patient subtyping analysis of baseline multi-omic data reveals distinct pre-immune states associated with antibody response to seasonal influenza vaccination
Cigdem Sevim Bayrak[SUP] 1 [/SUP], Christian V Forst[SUP] 2 [/SUP], Drew R Jones[SUP] 3 [/SUP], David J Gresham[SUP] 4 [/SUP], Smruti Pushalkar[SUP] 4 [/SUP], Shaohuan Wu[SUP] 4 [/SUP], Christine Vogel[SUP] 4 [/SUP], Lara K Mahal[SUP] 5 [/SUP], Elodie Ghedin[SUP] 6 [/SUP], Ted Ross[SUP] 7 [/SUP], Adolfo García-Sastre[SUP] 8 [/SUP], Bin Zhang[SUP] 9 [/SUP]
Affiliations
- PMID: 39089348
- DOI: 10.1016/j.clim.2024.110333
Understanding the molecular mechanisms underpinning diverse vaccination responses is critical for developing efficient vaccines. Molecular subtyping can offer insights into heterogeneous nature of responses and aid in vaccine design. We analyzed multi-omic data from 62 haemagglutinin seasonal influenza vaccine recipients (2019-2020), including transcriptomics, proteomics, glycomics, and metabolomics data collected pre-vaccination. We performed a subtyping analysis on the integrated data revealing five subtypes with distinct molecular signatures. These subtypes differed in the expression of pre-existing adaptive or innate immunity signatures, which were linked to significant variation in baseline immunoglobulin A (IgA) and hemagglutination inhibition (HAI) titer levels. It is worth noting that these differences persisted through day 28 post-vaccination, indicating the effect of initial immune state on vaccination response. These findings highlight the significance of interpersonal variation in baseline immune status as a crucial factor in determining the effectiveness of seasonal vaccines. Ultimately, incorporating molecular profiling could enable personalized vaccine optimization.
Keywords: Antibody response; Existing immunity; Influenza; Molecular subtyping; Multi-omic integration; Vaccine.