Low Thymic Activity and Dendritic Cell Numbers Are Associated with the Immune Response to Primary Viral Infection in Elderly Humans.

Immunological competence declines progressively with age, resulting in increased susceptibility of the elderly to infection and impaired responses to vaccines. Underlying mechanisms remain largely obscure as they have been related to complex, individual systemic immune properties that are challenging to investigate. In this study, we explored age-related changes in human immunity during a primary virus infection experimentally induced by immunization with live-attenuated yellow fever (YF) vaccine. Applying detailed serology, advanced FACS analysis, and systems biology, we discovered that aged subjects developed fewer neutralizing Abs, mounted diminished YF-specific CD8(+) T cell responses, and showed quantitatively and qualitatively altered YF-specific CD4(+) T cell immunity. Among numerous immune signatures, low in vivo numbers of naive CD4(+) recent thymic emigrants and peripheral dendritic cells correlated well with reduced acute responsiveness and altered long-term persistence of human cellular immunity to YF vaccination. Hence, we reveal in this article that essential elements of immune responses such as recent thymic emigrants and dendritic cells strongly relate to productive immunity in the elderly, providing a conceivable explanation for diminished responsiveness to vaccination with neoantigens and infection with de novo pathogens in the aged population.

Siglec-1-positive plasmacytoid dendritic cells (pDCs) in human peripheral blood: A semi-mature and myeloid-like subset imbalanced during protective and autoimmune responses.

Plasmacytoid dendritic cells (pDCs) play a central role in the pathogenesis of systemic lupus erythematosus (SLE) as IFN-α producers and promoters of T-cell activation or tolerance. Here, we demonstrated by flow-cytometry and confocal microscopy that Siglec-1, a molecule involved in the regulation of adaptive immunoresponses, is expressed in a subset of semi-mature, myeloid-like pDCs in human blood. These pDCs express lower BDCA-2 and CD123 and higher HLA-DR and CD11c than Siglec-1-negative pDCs and do not produce IFN-α via TLR7/TLR9 engagement. In vitro, Siglec-1 expression was induced in Siglec-1-negative pDCs by influenza virus. Proportions of Siglec-1-positive/Siglec-1-negative pDCs were higher in SLE than in healthy controls and correlated with disease activity. Healthy donors immunized with yellow fever vaccine YFV-17D displayed different kinetics of the two pDC subsets during protective immune response. PDCs can be subdivided into two subsets according to Siglec-1 expression. These subsets may play specific roles in (auto)immune responses.

Age dependent differences in the kinetics of γδ T cells after influenza vaccination.

Immunosenescence is a hallmark of the aging immune system and is considered the main cause of a reduced vaccine efficacy in the elderly. Although γδ T cells can become activated by recombinant influenza hemagglutinin, their age-related immunocompetence during a virus-induced immune response has so far not been investigated. In this study we evaluate the kinetics of γδ T cells after vaccination with the trivalent 2011/2012 northern hemisphere seasonal influenza vaccine. We applied multi-parametric flow cytometry to a cohort of 21 young (19-30 years) and 23 elderly (53-67 years) healthy individuals. Activated and proliferating γδ T cells, as identified by CD38 and Ki67 expression, were quantified on the days 0, 3, 7, 10, 14, 17, and 21. We observed a significantly lower number of activated and proliferating γδ T cells at baseline and following vaccination in elderly as compared to young individuals. The kinetics changes of activated γδ T cells were much stronger in the young, while corresponding changes in the elderly occurred slower. In addition, we observed an association between day 21 HAI titers of influenza A and the frequencies of Ki67+ γδ T cells at day 7 in the young. In conclusion, aging induces alterations of the γδ T cell response that might have negative implications for vaccination efficacy.

Highly Predictive Model for a Protective Immune Response to the A(H1N1)pdm2009 Influenza Strain after Seasonal Vaccination.

Understanding the immune response after vaccination against new influenza strains is highly important in case of an imminent influenza pandemic and for optimization of seasonal vaccination strategies in high risk population groups, especially the elderly. Models predicting the best sero-conversion response among the three strains in the seasonal vaccine were recently suggested. However, these models use a large number of variables and/or information post- vaccination. Here in an exploratory pilot study, we analyzed the baseline immune status in young (<31 years, N = 17) versus elderly (≥50 years, N = 20) donors sero-negative to the newly emerged A(H1N1)pdm09 influenza virus strain and correlated it with the serological response to that specific strain after seasonal influenza vaccination. Extensive multi-chromatic FACS analysis (36 lymphocyte sub-populations measured) was used to quantitatively assess the cellular immune status before vaccination. We identified CD4+ T cells, and amongst them particularly naive CD4+ T cells, as the best correlates for a successful A(H1N1)pdm09 immune response. Moreover, the number of influenza strains a donor was sero-negative to at baseline (NSSN) in addition to age, as expected, were important predictive factors. Age, NSSN and CD4+ T cell count at baseline together predicted sero-protection (HAI≥40) to A(H1N1)pdm09 with a high accuracy of 89% (p-value = 0.00002). An additional validation study (N = 43 vaccinees sero-negative to A(H1N1)pdm09) has confirmed the predictive value of age, NSSN and baseline CD4+ counts (accuracy = 85%, p-value = 0.0000004). Furthermore, the inclusion of donors at ages 31-50 had shown that the age predictive function is not linear with age but rather a sigmoid with a midpoint at about 50 years. Using these results we suggest a clinically relevant prediction model that gives the probability for non-protection to A(H1N1)pdm09 influenza strain after seasonal multi-valent vaccination as a continuous function of age, NSSN and baseline CD4 count.

Effects of aging on human leukocytes (part I): immunophenotyping of innate immune cells.

Immunosenescence is a hallmark of the aging immune system, leading to increased susceptibility to infections in the aged population and decreased ability to eradicate infectious pathogens. These effects, in turn, result in an increased burden on the healthcare system due to elevated frequency and duration of hospital visits. Growing evidence suggests that cells of the innate immune system are central modulators for the initiation and maintenance of an adequate pathogen-specific response through the adaptive immune system. While there are many reports on age-dependent alterations and dysfunctions of the adaptive immune system, the underlying mechanisms and effects of natural aging on the composition of the innate immune system remain unknown. Here, we present the results obtained from the comprehensive immunophenotyping of innate leukocyte populations, examined for age-related alterations within different sub-populations assessed using multi-parametric flow cytometry. We compared peripheral blood mononuclear cells from 24 young (aged 19-30 years) and 26 elderly (aged 53-67 years) donors. For classical CD16(+)CD56(dim) NK cells, the fraction of CD62L(+)CD57(+) was diminished in the elderly donors compared with young individuals, while the other investigated NK subsets remained unaffected by age. Both transitional monocytes and non-classical CD14(+-)CD16(++) monocytes were increased in the elderly compared with the young. The populations of pDCs and mDC2 were decreased among the elderly. These data demonstrate that the dynamics of the mDC subsets might counteract decreased virus surveillance. Furthermore, these data show that the maturation of NK cells might gradually slow down.

Effects of aging on human leukocytes (part II): immunophenotyping of adaptive immune B and T cell subsets.

Immunosenescence results from a continuous deterioration of immune responses resulting in a decreased response to vaccines. A well-described age-related alteration of the immune system is the decrease of de novo generation of T and B cells. In addition, the accumulation of memory cells and loss of diversity in antigen specificities resulting from a lifetime of exposure to pathogens has also been described. However, the effect of aging on subsets of γδTCR(+) T cells and Tregs has been poorly described, and the efficacy of the recall response to common persistent infections in the elderly remains obscure. Here, we investigated alterations in the subpopulations of the B and T cells among 24 healthy young (aged 19-30) and 26 healthy elderly (aged 53-67) individuals. The analysis was performed by flow cytometry using freshly collected peripheral blood. γδTCR(+) T cells were overall decreased, while CD4(+)CD8(-) cells among γδTCR(+) T cells were increased in the elderly. Helios(+)Foxp3(+) and Helios(-)Foxp3(+) Treg cells were unaffected with age. Recent thymic emigrants, based on CD31 expression, were decreased among the Helios(+)Foxp3(+), but not the Helios(-)Foxp3(+) cell populations. We observed a decrease in Adenovirus-specific CD4(+) and CD8(+) T cells and an increase in CMV-specific CD4(+) T cells in the elderly. Similarly, INFγ(+)TNFα(+) double-positive cells were decreased among activated T cells after Adenovirus stimulation but increased after CMV stimulation. The data presented here indicate that γδTCR(+) T cells might stabilize B cells, and functional senescence might dominate at higher ages than those studied here.