| Literature DB >> 30715376 |
Abstract
Potentially pandemic strains of influenza pose an undeniable threat to human populations. Therefore, it is essential to develop better strategies to enhance vaccine design and predict parameters that identify susceptible humans. CD4 T cells are a central component of protective immunity to influenza, delivering direct effector function and potentiating responses of other lymphoid cells. Humans have highly diverse influenza-specific CD4 T-cell populations that vary in stimulation history, specificity, and functionality. These complexities constitute a formidable obstacle to predicting immune responses to pandemic strains of influenza and derivation of optimal vaccine strategies. We suggest that more precise efforts to identify and enumerate both the positive and negative contributors of immunity in the CD4 T-cell compartment will aid in both predicting susceptible hosts and in development of vaccination strategies that will poise most human subjects to respond to pandemic influenza strains with protective immune responses.Entities:
Keywords: CD4 T cells; influenza; pandemic; vaccine
Mesh:
Substances:
Year: 2019 PMID: 30715376 PMCID: PMC6452298 DOI: 10.1093/infdis/jiy666
Source DB: PubMed Journal: J Infect Dis ISSN: 0022-1899 Impact factor: 5.226
Figure 1.Influenza-specific CD4 T-cell frequencies and specificity in circulating PBMC of healthy adults. Influenza-specific CD4 T-cell frequencies were determined from IFN-γ cytokine ELISPOT assays of circulating PBMC from healthy donors depleted of CD8 and CD56 cells. The range of total influenza-specific CD4 T cells, when the reactivity to HA, NA, NP, NS1, and M1 were summed was 235 to 3570 IFN-γ–producing cells per million CD4 T cells [9]. Based on these frequencies, the influenza-specific CD4 T cells comprise approximately 0.15% of all circulating CD4 T cells, with a range of 0.02%–3.6%. The data on viral specificity are represented as a pie diagram where each slice of the pie depicts the relative fraction of the CD4+ T-cell response dedicated to hemagglutinin (H1, H3), neuraminidase (N1, N2), nucleoprotein (NP), nonstructural protein (NS1), and matrix protein (M1), based on IFN-γ ELISPOT values. The average frequency of IFN-γ–producing cells per million CD4 T cells for pH1 was 6.7%; H3, 12.9%; N1, 14%; N2, 9.6%; NP, 21.1%; NS1, 3.8%; and M1, 31.9%. Abbreviations: ELISPOT, enzyme-linked immunospot; HA, hemagglutinin; IFN-γ, interferon-gamma; NA, neuraminidase; PBMC, peripheral blood mononuclear cells.
Figure 2.Sequence alignment of closely related influenza A virus strains. The sequences of influenza A viral proteins were aligned using CLC sequence Viewer 7.7 (Qiagen, Aarhus) to show sequence identity. HA alignments for H1N1 A/California/07/09 and H5N1 A/Vietnam/1203/04 (A) and H3N2 A/ New York/384/05 HA and H7N9 A/Anhui/1/2013 (B) are shown in pairs, based on the genetic relatedness. The sequence relatedness of NA (C) NP (D), M1 (E), and NS1 (F) are also shown where sequences from gene segments from 5 viruses (H1N1 A/Caledonia/20/99H1N1, A/California/07/09, H5N1 A/Vietnam/1203/04, H3N2 A/ New York/384/05, and H7N9 A/Anhui/1/2013) were aligned against each other. Dark gray segments represent sequence identity while light gray segments represent areas of any sequence disparity across the viral proteins that were compared. Abbreviations: HA, hemagglutinin; M1, matrix protein; NA, neuraminidase; NP, nucleoprotein; NS1, nonstructural protein.