REVIEWS

Aging of the Immune System as a Prognostic Factor for Human Longevity

Published Online:https://doi.org/10.1152/physiol.00040.2007

Abstract

Accumulating data are documenting an inverse relationship between immune status, response to vaccination, health, and longevity, suggesting that the immune system becomes less effective with advancing age and that this is clinically relevant. The mechanisms and consequences of age-associated immune alterations, designated immunosenescence, are briefly reviewed here.

Human Longevity, Genetics, and Inflammation

Average life expectancy at birth of Homo sapiens did not exceed 40–45 years until a couple of centuries ago even in the most developed countries, although the survival of a small number of very old people even in “primitive” societies is well documented. However, aging of a large proportion of the population is a very recent phenomenon that emerged as a consequence of the reduction of infant mortality and improving medical care and environmental conditions (127). Infectious diseases have been a pervasive threat for survival throughout evolution; thus strong immune responses and inflammation in early life have played a major role in the survival of humans in the unforgiving environment that was common to our ancestors. Accordingly, we can assume that genes and gene variants associated with strong immune responses and inflammation have been positively selected, because they likely contributed to ensure survival to reproductive age. Indeed, studies on the evolution of the immune system indicate that stress responses, immunity, and inflammation are deeply interconnected and constitute an integrated network of defense capable of coping with most stressors, including microbial antigens (37, 79).

On this evolutionary background and on the basis of data collected in the last 15 years on centenarians and from longitudinal studies of free-living humans, two of the best models to study healthy aging and longevity in humans (34, 78), we argue that lifelong exposure to a variety of infectious agents for a period much longer than previously encountered during human evolution (chronic antigenic load) is a major influence driving the aging of the immune system (33, 85). “Immunosenescence” is the term coined for the age-associated decreased immune competence that renders individuals more susceptible to disease and increases morbidity and mortality due to infectious disease in the elderly compared with the young (18, 42, 60, 85, 123). The nature of immunosenescence will be discussed in the next section. The main observed result at old age is a decrease in adaptive immunity and increased low-grade chronic inflammatory status, which has been referred to as Inflamm-aging (32), a process that impacts on the internal milieu of the body by changing its composition over time (27) (change not only of the immune cells but also of their “microenvironment”). Within this perspective, chronic antigenic load and inflamm-aging are strong candidates as major driving forces of the rate of aging and of the pathogenesis of major age-related diseases (16, 17, 119). Inflamm-aging is the end result of such a process characterized by activation of macrophages and expansion of specific clones (megaclones) of T lymphocytes directed toward antigens of common viruses such as cytomegalovirus (CMV) or Epstein-Barr virus (EBV) (FIGURE 1; Refs. 31, 49, 81, 85, 116). All these phenomena have a strong genetic component, as shown by studies in old people and centenarians, which collectively established that the frequency of several variants (polymorphisms) of important genes involved in immune responses and inflammation are present at a different frequency in long-lived people compared with young subjects (FIGURE 1; Refs. 23, 41, 96, 97, 116). Within this scenario, the age-related changes in body composition (loss of muscle/bone mass and increase of fat mass) (84), insulin growth factor 1/insulin pathway (36), as well as inflammatory phenomena occurring in the central nervous system are also emerging as critical influences on the development of frailty and major age-related diseases (59, 121, 124).

FIGURE 1.

FIGURE 1. Effect of the genetic background and aging on the immune system


The genetics of aging and longevity are quite unusual and have specific and unexpected peculiarities (15). First, for example, the same gene polymorphism can have different (beneficial or detrimental) effects at different ages, a phenomenon we proposed calling “complex allele timing” (15). Indeed, gene variants that are apparently neutral at young age show a greatly different biological role at old and very old age in terms of phenomena such as apoptosis, cell proliferation, and cell senescence. This is the case for a common polymorphism at codon 72 of the TP53 gene encoding p53, a protein playing a crucial role in DNA repair, apoptosis, cell cycle arrest, and senescence. This substitution of arginine (Arg) for proline (Pro), located in the polyproline-rich domain, modulates cell growth arrest and activation of apoptosis and has been studied in relation to cancer biology and extreme longevity (113). The Arg variant is associated with a higher susceptibility to oxidative stress-induced apoptosis, whereas the Pro variant is associated with a higher tendency to cell cycle arrest and senescence. However, this applies only to cells from old donors in whom it becomes progressively more evident with age but is not seen in young donors’ cells (7). Second, an increased homozygosity, likely correlated with the profound age-related remodelling, has been found at several polymorphic sites in DNA from old people and centenarians (contrary to the accepted advantage of heterozygosity for survival at younger age) (10, 15). An example is the recent identification and characterization of a previously “anonymous” inter-Alu polymorphism associated with human longevity as a TG/CA microsatellite in the fourth intron of the YTHDF2 gene. Genotyping a total of 285 subjects of different ages (17–109 years) revealed that a significant increase of homozygosity was found in centenarians (10).

Recent methodological improvements have led to a better understanding of the genetic basis of immunosenescence. Using recombinant inbred mice, it is possible to detect quantitative trait loci (QTLs) that underlie age-related thymic involution. Approaches have been developed to enable higher resolution mapping of these QTLs and to carry out direct identification of candidate genes. It is likely that, given the complexity of immune system development, the number of cells involved in an immune response (and especially the changes in the immune system with aging), multiple genetic loci, and many genes will contribute to age-related changes in immunity (46). Furthermore, recent studies investigating the molecular mechanisms associated with thymic aging showed the necessity of taking biological variables such as gender and diet into account when studying the role of genomics in the molecular pathways responsible for thymic involution (62). The use of model organisms facilitates testing different hypotheses regarding the role of genetics in immune responses. Using several chromosome substitution lines of Drosophila melanogaster derived from a natural population, Lesser et al. (58) found significant genetic variation among lines in the immune response to E. coli, showing improvement, no change, or a decline with age. Overall, their data suggest that different loci contributed to variation in immune responses at each age, consistent with the mutation accumulation model of senescence. In mice, following LPS challenge, it was found that 500 genes were activated in macrophages from young and old individuals, but more than 150 were activated only in the old or only in the young (12).

Even if we still do not know how general these phenomena (complex allele timing and age-related increase of homozygosity) can be, it is reasonable to envisage that the genetics of longevity is likely much more complex than previously anticipated.

Centenarians are able to counteract the damaging effects of Inflamm-aging by activating a variety of anti-inflammatory networks, such as those involving interleukin-10 (IL-10) and transforming growth factor-β1, but still benefit from the action of immunity necessary to maintain health by resisting infectious disease (27, 114).

Thus centenarians are equipped with gene variants that allow them to optimize the balance between pro-and anti-inflammatory cytokines and other mediators involved in inflammation (11, 35). Indeed, genetic markers related to a pro-inflammatory phenotype associated with the major age-related diseases have been found to be underrepresented in centenarians, whereas those associated with anti-inflammatory activity are more highly represented in centenarians, confirming that the balancing of pro- and anti-inflammatory mechanisms during aging is largely under genetic control (114). Accordingly, it can be anticipated that a genetic propensity to produce excessive amounts of inflammatory factors associated with an insufficient anti-inflammatory response will play a major role in the development of frailty and age-related pathologies in later (post-reproductive) life, despite being protective in earlier (reproductive) life. Immunosenescence and Inflamm-aging, by intimately changing the body microenvironment, have systemic effects on a variety of organs and systems and must be envisaged and conceptualized within a broad perspective, such as that proposed by Systems Biology, an approach that can help us to grasp its complexity and possibly to formulate rational anti-immunosenescence strategies (9, 106). To this end, an overview of the multiple facets of immunosenescence will be given in the next section on age-related changes in innate and adaptive immune functions.

First Line of Defense: Innate Immunity

Immunosenescence is the name given to the global age-associated immune dysfunctions (23, 33, 42, 51, 82). There are several hypotheses to explain the aging process; the same is true for immunosenescence (41, 85). Virtually all cells of the immune system can undergo immunosenescence, which can lead to the general erosion of the immune capacities. Different animal (4, 38) and in vitro models (75, 86) substantiate the existence of immunosenescence in humans. Although it has been generally accepted that some aspects of innate immunity are well preserved in aging (87, 100), cumulative evidence in the last decade supports the existence of age-associated changes in the cellular components of the innate immune system, including natural killer (NK) cells, phagocytes, and dendritic cells (DC), which are important in the increased susceptibility of elderly individuals to infectious diseases.

NK cells

NK cells are cytotoxic cells that play a significant role in innate defense against virally infected cells and possibly tumors, and recent studies support the hypothesis that high NK cytotoxicity associates with healthy aging and longevity, whereas low NK cytotoxicity associates with increased morbidity and mortality due to infections, atherosclerosis, and poor response to influenza vaccination (FIGURE 2; Refs. 8, 72, 99, 76). Inefficient signal transduction was found to be associated with decreased NK cell cytotoxicity in the aged (65, 99). For example, it has been shown that the CD94-NKG2A inhibitory signaling pathway is intact in NK cells from elderly individuals despite a decrease in CD94-NKG2A expression (63), suggesting an increased inhibitory signaling efficiency and decreased activating signaling at the cellular level. Moreover, the expression of killer-inhibitory receptors (KIR), which are more specific to NK cells, was shown to increase in aging (110). NK cells express a complex array of activating and inhibitory receptors, detailed knowledge of which is just now emerging, which is required to form a clear idea of the role of changes in NK cells in the elderly (8, 63, 99). So far, only one study has established the frequency of the KIR genes/pseudogenes and KIR genotypes in healthy aged and young people (in the Irish population). However, no significant associations between KIR gene expression and aging were found. It is hypothesised that alterations of KIR functions may increase susceptibility to infections or cancers, and thus a similar study needs to be performed in non-healthy, old individuals compared with healthy individuals (67). Other aspects of NK cell function, such as the secretion of chemokines or interferon-γ (IFN-γ) in response to IL-2 are also decreased in the aged (66). NK cells have an important role in immuno-surveillance, and any alterations in their function will influence susceptibility to pathogens and the control of cancer development (77).

FIGURE 2.

FIGURE 2. Impaired function of innate immunity in aged individuals
 Only dysregulated functions discussed in this review are displayed. Broken lines indicate a decrease in the function, whereas solid lines indicate an over-activation of the function. NK, natural killer cells; TLR, toll-like receptors; GM-CSF, granulocyte macrophage-colony stimulator factor; TREM-1, triggering receptor expressed on myeloid cells-1; ROS, reactive oxygen species; PGE2, prostaglandin-E2; DC, dendritic cells; PI3K, phosphoinositide-3 kinase; MHC, major histocompatibility complex.


Neutrophils

The number and phagocytic capacity of neutrophils is well preserved in the elderly. However, certain other functional characteristics of neutrophils from elderly individuals, such as superoxide anion production, chemotaxis, and apoptosis in response to certain stimuli, are reduced (FIGURE 2; Ref. 40). It has been suggested that a decrease in signal transduction of certain receptors could be involved in the defective function of neutrophils with advancing age (30). In particular, the triggering of activating receptors such as Toll-like receptor-4 (TLR4), granulocyte macrophage colony stimulating factor (GM-CSF), and triggering receptor expressed on myeloid cell-1 results in a decreased response in elderly individuals associated with altered signal transduction and changes in the structure, dynamics, and function of lipid raft-dependent signaling in these cells (28, 107). Similarly, anti-apoptotic signals delivered by GM-CSF failed to rescue neutrophils from apoptosis in the elderly (29).

Monocytes/macrophages

The number of monocytes in peripheral blood does not change substantially with age, although there is a decreased number of macrophage precursors and bone marrow macrophages (90). In macrophages, phagocytosis, production of reactive oxygen species, chemotaxis, and response to TLR function are altered with aging (42, 90). A recent evaluation of TLR expression and function in monocytes from older adults concluded that TLR1/2 function is altered probably due to defects in signaling (FIGURE 2; Ref. 112). These consequences of aging on human TLR expression and function may impair activation of the immune response and contribute to poorer vaccine responses and greater morbidity and mortality from infectious diseases in older adults. The reduction of class II major histocompatibility (MHC) expression is thought to be responsible for decreased antigen presentation by macrophages with age (44, 90, 117). The hyper-production of prostaglandin E2 by activated macrophages at least partly explains the reduced surface expression of class II MHC (90).

Dendritic cells

Dendritic cells (DC) are the major antigen-presenting cells (APC) responsible for initiating an adaptive immune response. It has been shown that DC retain their antigen presentation function with healthy aging (61), whereas DC from frail elderly people display changes in costimulatory molecules (FIGURE 2; Ref. 1). Moreover, aging is associated with a reduction in the number of DC derived from myeloid precursors (18), which also have a more mature phenotype and an impaired ability to produce IL-12 with age (17, 108). Other functions such as macropinocytosis, endocyto-sis, response to chemokines, and cytokine secretion are impaired, probably as a consequence of decreased activation of the phosphoinositide-3 kinase pathway (2). Together, these data suggest that some age-associated immune dysfunctions can originate from impaired DC functions.

Other cells

Other cells participating in innate immunity also need further investigation to fully understand the role of each and the biological significance of any age-associated alterations. Natural killer T (NKT) cells that express a CD1d-restricted T-cell receptor (TCR) have a semi-invariant TCR using the Vα24Jα18 genes in humans and are therefore termed invariant NKT (iNKT) cells. These cells have been implicated in diverse immune reactions, ranging from self-tolerance and development of autoimmunity to responses to pathogens and tumors. Recent studies showed a reduced number of iNKT cells with aging (72, 89), suggesting their contribution to decreased protection against certain pathogens such as gram-negative bacteria (125).

Lymphocyte Senescence

Longevity and lymphocytes: what we learned from longitudinal studies

The OCTO and NONA immune longitudinal studies represent population studies of Swedish octo- and nonagenarians to establish predictive factors for longevity (123) in the context of functional and disability parameters also measured in these studies. The OCTO immune study identified an immune risk profile (IRP) predictive of subsequent mortality (FIGURE 3). The IRP was characterized by immune parameters consisting of high levels of CD8+ T cells, low levels of CD4+ T cells and CD19+ B cells, an inverted CD4-to-CD8 ratio, and poor proliferative response to con-canavalin A (26). In the subsequent NONA study, the IRP included characteristics of immunosenescence, recognized as increased numbers of late differentiated memory and effector CD8+CD28 T cells and depleted numbers of naive cells that are able to recognize and combat new antigens (FIGURE 3; Ref. 121). Extensive analysis to search for associations between this IRP and various psychosocial parameters revealed that the IRP was associated only with evidence of persistent CMV infection, becoming prevalent in the very old (78, 121). Therefore, CMV seems to have a more insidious impact on the immune system than previously believed and also compared with other herpes viruses examined in these studies (78). The accumulation of large numbers of CMV-specific CD8+ T cells (122), as well as the finding that a majority of clonal expansions in the very old are associated with CMV, has provided additional support for the hypothesis that CMV contributes markedly to the development of an IRP and thus constitutes a good biomarker of immunosenescence in the elderly (81, 93).

FIGURE 3.

FIGURE 3. Interplay between the IRP, low grade inflammation, and cognitive impairment in mortality


The increase in circulating inflammatory mediators such as cytokines and acute phase proteins seems to contribute to the low-grade inflammation observed with aging. Age-related alterations in responses to stimulation also contribute to low-grade inflammation by changing the level of pro-inflammatory mediators such as TNF-α and IL-6. Because of their association with pathological cases and chronic diseases, inflammatory mediators can also act as biomarkers or risk factors for age-associated diseases and predictors of mortality (reviewed in Ref. 52). In the NONA immune study, the IRP was also examined in the context of low-grade inflammation (124). The IRP and low-grade inflammation were found to be major independent predictors of survival, an outcome that was not significantly affected by the individuals’ health status. The results suggest that the physiological aging processes of T-cell immunosenescence and low-grade inflammation are of crucial importance in late-life survival (124) and suggest a sequence of stages for IRP individuals that seems to begin in early life with CMV infection, followed by homeostatic T-cell changes with the generation of large CD8+CD28 effector cell expansions, a decrease in the number of CD4+ T cells, and eventually the development of an IRP (FIGURE 3). This is accompanied by a low-grade inflammatory process in very late life, supporting the hypothesis that immunosenescence is driven by a chronic antigen load, CMV in particular.

T cells at the population level

The progressively reduced number of naive cells in the periphery with increasing age is associated with the thymic atrophy that occurs with aging. However, it is still debated whether thymic atrophy is responsible for reduced lymphopoiesis (21). Nevertheless, treating aged mice with IL-7 has been reported to increase thymic output, suggesting that intrathymic levels of IL-7 have a critical effect on the production of T cells (5). Old rhesus macaques also respond positively to this treatment, as shown by increased CD4+ and CD8+ T cells and a transient increase in the number of the naive subset, suggesting that the same may be true of humans. IL-7-treated old monkeys responded significantly better to influenza vaccine than controls (4).

Although some T-cell functions are decreased with age, others are maintained or increased, the latter exemplified by the CMV-specific memory T-cell population, which can occupy a quarter or more of the whole T-cell repertoire (81, 82). These cells display the CD8+CD28CCR7CD45RA+KLRG+CD57+ phenotype of late-differentiated T cells (Table 1; Ref. 80). Nevertheless, some of these cells, which include the CMV-specific CD8+ T cells, still respond to certain stimuli (3). Recent results indicate that CMV antigens induce greater production of IFN-γ in CD4+ T cells in very old compared with young subjects. The comparative analysis of pp65-specific responses in long-term carriers revealed that CD8+ and to a lesser degree CD4+ CMV-specific memory T cells do expand during life (115). It is likely that immune mediators such as cytokines may play a role in the maintenance of memory T-cell functionality and survival. IL-15 is known to promote CD8+ memory cell survival and expansion and was recently shown to induce CD28 downregulation (13). Although IL-15 can be considered as a factor associated with the accumulation of CD8+ T cells, it has been recently shown that the late-stage differentiated CD8+ population is the only one to turn over more slowly in the elderly compared with the young and therefore accumulate in the periphery (120). Globally, expansion of CMV-specific T cells does not favor the delivery of naive T cells to the periphery (49). One putative intervention to restore a balanced T-cell subset distribution would be to deplete excess and possibly dysfunctional CMV-specific T cells but at the same time to maintain strict control of this potentially dangerous viral infection. Because CMV infection is asymptomatic in healthy individuals, it is difficult to know the time of first infection except in the case of CMV-seronegative patients receiving an organ from a CMV seropositive donor (95). One approach to better understand the role of CMV or other pathogens in remodeling the immune system is to assess the T-cell repertoire. We know from the OCTO/NONA longitudinal studies that the number of clonal expansions inversely correlates with remaining survival time (93). More studies are needed to clarify whether this is CMV-specific or a more general phenomenon occurring with aging.

Table 1. Age-related changes in T- and B-cell markers and functions

DecreasedIncreased
The decrease or increase in surface markers, subpopulation frequencies, functions, activities, and damages displayed are the most accepted. The corresponding citations can be found in the reference section. ICOS, inducible T-cell costimulator; CCR7, chemokine (C-C motif) receptor 7; KLRG1, killer cell lectin-like receptor subfamily G member 1; ILT-2, Ig-like transcript 2; KIR, killer cell Ig-like receptor; KLRF1, killer cell lectin-like receptor subfamily F, member 1.
CD28KLRG1
CD27ILT-2 (CD85j)
ICOSCD57
CCR7CD49d
Proliferation with mitogensKIR-positive T cells
IL-2 productionKLRF1
Telomere lengthCD244
Telomerase activityCD45RO+ T cells
Th1 response: IL-2, IFN-γMemory B cells
Delayed-type hypersensitivityCMV-specific CD8+ T cells
TCR signal transductionCMV-specific CD4+ T cells
Proteosome activityDNA damage
Membrane fluidityAnergic T cells
TCR repertoire
CD45+ T cells
Cytoskeleton rearrangement
Thymic output
Efficient response after vaccination
B-cell-derived antibody affinity
B-cell cass swith
Antibody somatic recombination
Lymphopoiesis (B and T cells)
Naïve B cells
Generation of immature B cells

T-cell function, activation, and signaling at the cellular level

Major functions known to decrease with age are IL-2 production and T-cell proliferation (Table 1; Ref. 60). This in vitro evidence would suggest an in vivo clonal expansion deficiency following antigen recognition partly explaining age-associated increased susceptibility to infections, auto-immune diseases, and cancers. Although T-cell receptor expression is maintained with age, other co-receptors such as the co-stimulatory molecule CD28 are lost (25) and would explain the lower activation levels (109). A full state of T-cell activation is achieved only when an immune synapse is formed, which facilitates the ligation of small numbers of T-cell receptors and other molecules (39). To this end, membrane microdomains called “rafts,” which are highly motile through the membrane, allow protein polarization at the site of the immune synapse (39, 103). Thus achieving the activation threshold is dependent on raft functions rather than purely dependent on the number of molecules expressed at the cellular level (22). However, a deficiency in raft functions would explain, at least in part, downstream signaling alterations such as those observed in the initial signaling cascade, translocation of transcription factors to the nucleus, and gene transcription (53, 54, 75). The signaling events impaired in aged individuals, which interfered with the formation of the immune synapse, are depicted in FIGURE 4.

FIGURE 4.

FIGURE 4. Age-associated changes at the immunosynaptic level
 For activation, T-cells require sustained physical contact with APC. The closest contacts occur in the central supramolecular activation cluster (cSMAC) where positive signaling is facilitated by membrane raft-associated structures (22). Other receptors/molecules are located in the peripheral SMAC and migrate into the cSMAC to regulate activation (39). Here, only the signaling molecules/pathways that are known to display age-related changes are shown (53). CD4- or CD8-associated Lck recruits and activates Zeta-associated protein of 70 kDa (ZAP-70) and phospholipase Cγ-1 (PLCγ-1) on exclusion of CD45. PLCγ-1 is involved in calcium metabolism and protein kinase C activation, whereas ZAP-70 phosphorylates the linker of activated T-cells (LAT). The last is associated with several molecules including Vav, influencing cytoskeletal rearrangements (22). Together, these changes in expression (E), phosphorylation (P), or recruitment (R) cause differential activation of mitogen-activated protein kinases (MAPK) and translocation of transcription factors including NF-κB, NF-AT, and AP-1 into the nucleus (53, 54). This is decreased in aged T-cells and directly affects clonal expansion due to decreased IL-2 production. All these downstream events are dependent on upstream alterations such as membrane viscosity and integrity, which also change with age (75). Unbalanced negative signaling involving inhibitory receptors such as KIR2DL2 or NK receptors can explain defects in signal transmission. The role of senescence-associated markers such as killer cell lectin-like receptor G1 (KLRG1), programmed death 1 (PD-1), and CD57 as well as the Src homology region 2 domain-containing phosphatase 1 (SHP-1) in age-related impaired activation is still unknown (30).


B-cell function and vaccination

The age-associated immune dysfunctions described above may partly influence the efficiency of vaccination strategies in the elderly (74, 104). Although 70–90% of individuals <65 years old are efficiently protected after influenza vaccination, only 10–30% of frail elderly are protected (43). This is partly due to the fact that antibodies produced by old B cells are commonly of low affinity, providing less efficient protection compared with young individuals (Table 1; Ref. 56). The class switching and somatic recombination necessary for antibody production and diversity are both impaired in aged humans (38). B-cell lymphopoiesis is also reduced, which leads to an increase in the percentage of antigen-experienced cells compared with newly produced naive B cells, parallel to the situation with T cells. There is an inappropriate differentiation of pre-B cells from pro-B cells, which is associated with the reduced generation of immature B cells (71). There is also evidence suggesting a shift in B-cell selection leading to increased frequencies of autoreactive cells with aging (48). This directly impacts on humoral immunity. Vaccination is the best prophylactic treatment for the aged population, and future research needs to take into account the characteristics of aged individuals for the design of new vaccines. One good example is the use of adjuvants in vaccine composition to increase its efficiency. In the next section, we will review some of the important extrinsic mediators of immunity that can be most easily targeted for use in the elderly for the prevention of immune senescence because they belong to the lifestyle rather than the pharmacological category.

Extrinsic Influence on Immunity

Stress

Although factors that initiate psychological and physical stress differ, the ways in which they impact the immune system are similar and include activation of the hypothalamic-pituitary-adrenal (HPA axis) and the sympathetic-adrenal-medullary (SAM) axis, both of which influence the immune system (128). Increased psychological stress in aging occurs in parallel with significant activation of the HPA axis (19, 64, 111). The persistent activation of the SAM axis in chronic stress responses and in depression impairs the immune response and contributes to the development and progression of some types of cancer (92). Stressed and depressed patients have reduced mitogen-stimulated lymphocyte proliferation, high levels of acute-phase proteins, IL-1, IL-6, and TNF-α. Both stress and depression are associated with decreased cytotoxic T-cell and NK activities, which could affect immunosurveillance of tumors, and the events that modulate the development and the accumulation of somatic mutations and genomic instability (64, 92) altogether influencing longevity (118).

Although an association between aging and cortisol levels is observed, the precise mechanism by which alterations in the neuroendocrine system can impact on immunity in aging is not clearly identified. There is evidence suggesting that cortisol can act by increasing T-cell susceptibility to apoptosis as in the case of immunocompromised individuals (93). The glucocorticoid (GC) cascade is a putative candidate when its major role in suppressing the synthesis of pro-inflammatory cytokines by the innate arm following trauma is considered (83), and it may be useful for reducing age-associated low-grade inflammation.

Sleep/physical activity

Age-associated sleep dysregulation is a common phenomenon (6). Sleep-deprived rats display a number of physiological abnormalities, eventually leading to death. A loss of host defenses has been suggested based on the occurrence of sepsis in long-term sleep-deprived rats (24) as well as changes in immune mediators, including increased plasma levels of IL-1β (20), soluble tumor necrosis factor-α receptor 1 and IL-6 (98), and fluctuations in IFN-γ (20). Acute sleep loss also appears to be a potent stimulus of stress hormone release, including cortisol (69). Additionally, metabolic changes associated with sleep deprivation include hyperphagia, increased fasting blood glucose levels, and insulin resistance (101). This last parameter associated with high levels of markers of inflammation is well documented in elderly populations (73).

One of the most-utilized strategies to improve immunocompetence in older adults is through moderate physical activity (126). The immunomodulatory effects of exercise include a shift in the production of T helper1 and T helper 2 cytokines, enhanced NK cell and T-cell activity, and improved antibody responses (50). Moreover, physical activity may enhance immunity through the release of neuroendocrine factors (88). Additionally, exercise may enhance immunity through indirect effects on psychosocial variables such as depression and mood, thereby attenuating the negative influence of these factors on immunocompetence. Human exercise intervention studies show a causal reduction in inflammatory markers, including C-reactive protein (14). Due to the many other beneficial health benefits associated with regular moderate exercise, recommendations to improve levels of physical activity are widely prescribed in the aging population (51).

Nutrition

Nutritional factors play a major role in the immune responses of healthy as well as immunocompromised individuals. Protein energy malnutrition is common in the elderly and may be an important factor in influencing diminished immune responses (45, 57, 68). Furthermore, infections (increasingly prevalent in the elderly), even when mild, can compromise nutritional status or lead to recompartmentalization of trace elements as part of the acute adaptive response. This can lead to a spiral of impaired immunity and exacerbated infections.

More recently, it was suggested that lipids are very important mediators of cellular functions (47, 102). Because cell membranes are primarily composed of phospholipids, fatty acids, and cholesterol and because these are the first elements in contact with free radicals, a change in the composition or quality of membrane lipids can influence cell fate. Eicosapentaenoic acid (EPA) infusion induced a dose-dependent decrease in neutrophil respiratory burst only in old individuals associated with a higher incorporation of EPA into plasma and mononuclear cells than in younger subjects (91). Defects in signaling associated with aging (FIGURE 4) have a common origin, i.e., the membrane. Changing the extrinsic lipid composition will directly influence intrinsic events because of the natural diffusion of lipid into cell membranes (42). Each lipid has a specific effect on cell functions, and the same lipid may have different effects depending on the individual’s age (55, 91).

Although nutrition, immune function, and infection are clearly interrelated, it is no simple matter to quantify these relationships (70). Some agents used in intervention studies are listed in Table 2. Most of our current understanding relates to nutrient deficiency states and acute infections, and often investigations occur in hospitalized patient settings. Very few studies have been conducted on primary outcomes, such as infection/inflammation severity/resistance or quality of life end points. Although these are potentially highly relevant, the enormous redundancy and pleiotropy of the immune system makes it hard to predict the consequences at the organismal level.

Table 2. Attempts to restore immunity in the elderly

InterventionEffects
The different strategies to restore age-associated immune dysfunctions are shown (57, 70, 91, 102). An increase or activation of the pathway/process is represented by + and a decrease/inhibition by -. DHEA, dehydroepiandrosterone; PUFA, polyunsatured fatty acids; PPAR-α, peroxisome proliferator-activated receptor alpha; NF-κB, nuclear factor-κB; IFN-γ, interferon-γ.
Vitamin B6+ Lymphocyte proliferation
Vitamin E+ PPAR-γ
 - Free radical production
 - Prostaglandin-E2
 - Inflammation
DHEA- NF-κB
 - Pro-inflammatory molecules
Vitamin D- IFN-γ transcription
 - Th1/Th2 response
Zinc+ Vaccine responses
Folate+ Proliferative response to mitogens
 + Distribution of T cells
 + Cytokine production in the spleen
PUFA- T-cell activation
 - T-cell signalling
 - Lymphocyte proliferation
Probiotic+ Number of CD4+ and CD25+ T cells
(Bifidobacterium lactis HN019)+ Number and activity of natural killer cells
 + Phagocytic capacity

Concluding Remarks

Immunosenescence is a complex phenomenon occurring as a consequence of incompletely understood multiple alterations in hematopoiesis, immune cell development and differentiation, and cell function. The adaptive immune system is particularly affected by thymic involution, reducing the generation of new T cells, and by the effects of long-term exposure of peripheral T cells to a variety of antigenic stimuli for a period much longer than that expected on the basis of the evolutionary history of H. sapiens. The combination of the accumulation of molecular and cellular defects at several levels of immune responses with such chronic antigenic load results in the paradoxical situation of an immune system that is concomitantly hyper-activated (Inflamm-aging) and defective. We suggest that a unifying hypothesis to explain these changes is to be found within the paradigm of retention or exacerbation of innate immunity coupled with dysregulation or dysfunction of adaptive immunity. Dissecting biomarkers used to distinguish healthy aging from age-associated pathologies or phenomena such as frailty, dementia, cancer, auto-immune diseases, and increased susceptibility to infections indicates that most of these are immune-related and are good indicators for survival/mortality. The above hypothesis requires rigorous testing in humans, from which the performance of longitudinal studies with detailed immunological and non-immunological follow-up and cause-of-death data are urgently required. In this context, available data suggest that the role of putatively asymptomatic infections, especially with CMV, in remodelling the immune system and influencing inflammatory status must be a prime consideration, together with the genetic background, to help explain inter-individual differential longevity. For intervention, because immune deficiencies are observed after several years and decades, the necessity for long-term studies rather than acute treatments must be recognized. The number of elderly people is increasing markedly, and their needs are growing rapidly. A better understanding of immune dysfunction will help prevent age-associated disorders and frailty, with the result that the frequency of disabled elderly people is decreased. Immunosenescence is currently a prognostic factor for human longevity, and thus a more sophisticated appreciation of immune dysfunction will contribute to increased quality of life of the elderly population.

This work was supported by DFG PA 361/11-1 and SFB 685 B04 and EU contracts QLK6-2002-02283 (T-CIA), LSHG-CT-2007-036894 (LIFESPAN). R. Solana was supported by grants FIS03/1383, FIS06/1320, and Junta de Andalucia. C. Franceschi was supported by FP6, Project GEHA LSHM-CT-2004-503270.

References

  • 1 Agrawal A, Agrawal S, Cao JN, Su H, Osann K, Gupta S. Altered innate immune functioning of dendritic cells in elderly humans: a role of phosphoinositide 3-kinase-signaling pathway. J Immunol 178: 6912–6922, 2007.
    Crossref | Web of Science | Google Scholar
  • 2 Agrawal A, Agrawal S, Gupta S. Dendritic cells in human aging. Exp Gerontol 42: 421–426, 2007.
    Crossref | Web of Science | Google Scholar
  • 3 Almanzar G, Schwaiger S, Jenewein B, Keller M, Grubeck-Loebenstein B, Würzner R, Schönitzer D. IFN-gamma production by CMV-specific CD8+ T cells is high in elderly donors. Exp Gerontol 39: 863–865, 2004.
    Crossref | Web of Science | Google Scholar
  • 4 Aspinall R, Pido-Lopez J, Imami N, Henson SM, Ngom PT, Morre M, Niphuis H, Remarque E, Rosenwirth B, Heeney JL. Old rhesus macaques treated with interleukin-7 show increased TREC levels and respond well to influenza vaccination. Rejuvenation Res 10: 5–17, 2007.
    Crossref | Web of Science | Google Scholar
  • 5 Aspinall R. T cell development, ageing and interleukin-7. Mech Ageing Dev 127: 572–578, 2006.
    Crossref | Web of Science | Google Scholar
  • 6 Avidan AY. Sleep in the geriatric patient population. Semin Neurol 25: 52–63, 2005.
    Crossref | Web of Science | Google Scholar
  • 7 Bonafe M, Salvioli S, Barbi C. The different apoptotic potential of the p53 codon 72 alleles increases with age and modulates in vivo ischaemia-induced cell death. Cell Death Differ 11: 962–973, 2004.
    Crossref | Web of Science | Google Scholar
  • 8 Bruunsgaard H, Pedersen AN, Schroll M, Skinhoj P, Pedersen BK. Decreased natural killer cell activity is associated with atherosclerosis in elderly humans. Exp Gerontol 37: 127–136, 2001.
    Crossref | Web of Science | Google Scholar
  • 9 Capri M, Monti D, Salvioli S, Lescai F, Pierini M, Altilia S, Sevini F, Valensin S, Ostan R, Bucci L, Franceschi C. Complexity of anti-immunosenescence strategies in humans. Artif Organs 30: 730–742, 2006.
    Crossref | Web of Science | Google Scholar
  • 10 Cardelli M, Marchegiani F, Cavallone L, Olivieri F, Giovagnetti S, Mugianesi E, Moresi R, Lisa R, Franceschi C. A polymorphism of the YTHDF2 gene (1p35) located in an Alu-rich genomic domain is associated with human longevity. J Gerontol A Biol Sci Med Sci 61: 547–556, 2006.
    Crossref | Web of Science | Google Scholar
  • 11 Carrieri G, Marzi E, Olivieri F, Marchegiani F, Cavallone L, Cardelli M, Giovagnetti S, Stecconi R, Molendini C, Trapassi C, De Benedictis G, Kletsas D, Franceschi C. The G/C915 polymorphism of transforming growth factor beta1 is associated with human longevity: a study in Italian centenarians. Aging Cell 3: 443–448, 2004.
    Crossref | Web of Science | Google Scholar
  • 12 Chelvarajan RL, Liu Y, Popa D, Getchell ML, Getchell TV, Stromberg AJ, Bondada S. Molecular basis of age-associated cytokine dysregulation in LPS-stimulated macrophages. J Leukoc Biol 79: 1314–1327, 2006.
    Crossref | PubMed | Web of Science | Google Scholar
  • 13 Chiu WK, Fann M, Weng NP. Generation and growth of CD28nullCD8+ memory T cells mediated by IL-15 and its induced cytokines. J Immunol 177: 7802–7810, 2006.
    Crossref | Web of Science | Google Scholar
  • 14 Church TS, Barlow CE, Earnest CP, Kampert JB, Priest EL, Blair SN. Associations between cardiorespiratory fitness and C-reactive protein in men. Arterioscler Thromb Vasc Biol 22: 1869–1876, 2002.
    Crossref | Web of Science | Google Scholar
  • 15 De Benedictis G, Franceschi C. The unusual genetics of human longevity. Sci Aging Knowledge Environ 10: p20, 2006.
    Google Scholar
  • 16 De Martinis M, Franceschi C, Monti D, Ginaldi L. Inflamm-ageing and lifelong antigenic load as major determinants of ageing rate and longevity. FEBS Lett 579: 2035–2039, 2005.
    Crossref | Web of Science | Google Scholar
  • 17 De Martinis M, Franceschi C, Monti D, Ginaldi L. Inflammation markers predicting frailty and mortality in the elderly. Exp Mol Pathol 80: 219–227, 2006.
    Crossref | Web of Science | Google Scholar
  • 18 Della Bella S, Bierti L, Presicce P, Arienti R, Valenti M, Saresella M, Vergani C, Villa ML. Peripheral blood dendritic cells and monocytes are differently regulated in the elderly. Clin Immunol 122: 220–228, 2007.
    Crossref | Web of Science | Google Scholar
  • 19 Deuschle M, Gotthardt U, Schweiger U, Weber B, Korner A, Schmider J, Standhardt H, Lammers CH, Heuser I. With aging in humans the activity of the hypothalamus-pituitary-adrenal system increases and its diurnal amplitude flattens. Life Sci 61: 2239–2246, 1997.
    Crossref | PubMed | Web of Science | Google Scholar
  • 20 Dinges DF, Douglas SD, Hamarman S, Zaugg L, Kapoor S. Sleep deprivation and human immune function. Adv Neuroimmunol 5: 97–110, 1995.
    Crossref | Google Scholar
  • 21 Douek DC, Koup RA. Evidence for thymic function in the elderly. Vaccine 18: 1638–1641, 2000.
    Crossref | Web of Science | Google Scholar
  • 22 Dykstra M, Cherukuri A, Sohn HW, Tzeng SJ, Pierce SK. Location is everything: lipid rafts and immune cell signaling. Annu Rev Immunol 21: 457–481, 2003.
    Crossref | PubMed | Web of Science | Google Scholar
  • 23 Effros RB,. Genetic alterations in the ageing immune system: impact on infection, and cancer. Mech Ageing Dev 124: 71–77, 2003.
    Crossref | Web of Science | Google Scholar
  • 24 Everson CA, Toth LA. Systemic bacterial invasion induced by sleep deprivation. Am J Physiol Regul Integr Comp Physiol 278: R905–R916, 2000.
    Link | Web of Science | Google Scholar
  • 25 Fagnoni FF, Vescovini R, Mazzola M, Bologna G, Nigro E, Lavagetto G, Franceschi C, Passeri M, Sansoni P. Expansion of cytotoxic CD8+ CD28 T cells in healthy ageing people, including centenarians. Immunology 88: 501–507, 1996.
    Crossref | Web of Science | Google Scholar
  • 26 Ferguson FG, Wikby A, Maxson P, Olsson J, Johansson B. Immune parameters in a longitudinal study of a very old population of Swedish people: a comparison of survivors and nonsurvivors. J Gerontol Biol Sci 50: 378–382, 1995.
    Google Scholar
  • 27 Forsey RJ, Thompson JM, Ernerudh J, Hurst TL, Strindhall J, Johansson B, Nilsson BO, Wikby A. Plasma cytokine profiles in elderly humans. Mech Ageing Dev 124: 487–493, 2003.
    Crossref | PubMed | Web of Science | Google Scholar
  • 28 Fortin CF, Lesur O, Fulop T Jr. Effects of aging on triggering receptor expressed on myeloid cells (TREM)-1-induced PMN functions. FEBS Lett 581: 1173–1178, 2007.
    Crossref | Web of Science | Google Scholar
  • 29 Fortin CF, Larbi A, Dupuis G, Lesur O, Fulop T Jr. GM-CSF activates the Jak/STAT pathway to rescue polymorphonuclear neutrophils from spontaneous apoptosis in young but not elderly individuals. Biogerontology 8: 173–187, 2007.
    Crossref | Web of Science | Google Scholar
  • 30 Fortin CF, Larbi A, Lesur O, Douziech N, Fulop T Jr. Impairment of SHP-1 down-regulation in the lipid rafts of human neutrophils under GM-CSF stimulation contributes to their age-related, altered functions. J Leukoc Biol 79: 1061–1072, 2006.
    Crossref | Web of Science | Google Scholar
  • 31 Franceschi C, Bezrukov V, Blanché H, Bolund L, Christensen K, de Benedictis G, Deiana L, Gonos E, Hervonen A, Yang H, Jeune B, Kirkwood TB, Kristensen P, Leon A, Pelicci PG, Peltonen L, Poulain M, Rea IM, Remacle J, Robine JM, Schreiber S, Sikora E, Slagboom PE, Spazzafumo L, Stazi MA, Toussaint O, Vaupel JW. Genetics of healthy aging in Europe: the EU-integrated project GEHA (GEnetics of Healthy Aging). Ann NY Acad Sci 1100: 21–45, 2007.
    Crossref | Web of Science | Google Scholar
  • 32 Franceschi C, Bonafe M, Valensin S, et al. Inflamm-aging. An evolutionary perspective on immunosenescence. Ann NY Acad Sci 908: 244–254, 2000.
    Crossref | PubMed | Web of Science | Google Scholar
  • 33 Franceschi C, Bonafe M, Valensin S. Human immunosenescence: the prevailing of innate immunity, the failing of clonotypic immunity, and the filling of immunological space. Vaccine 18: 1717–1720, 2000.
    Crossref | PubMed | Web of Science | Google Scholar
  • 34 Franceschi C, Bonafe M. Centenarians as a model for healthy aging. Biochem Soc Trans 31: 457–461, 2003.
    Crossref | Web of Science | Google Scholar
  • 35 Franceschi C, Capri M, Monti D, et al. Inflamm-aging and anti-inflamm-aging: a systemic perspective on aging and longevity emerged from studies in humans. Mech Ageing Dev 128: 92–105, 2007.
    Crossref | PubMed | Web of Science | Google Scholar
  • 36 Franceschi C, Olivieri F, Marchegiani F, Cardelli M, Cavallone L, Capri M, Salvioli S, Valensin S, De Benedictis G, Di Iorio A, Caruso C, Paolisso G, Monti D. Genes involved in immune response/inflammation, IGF1/insulin pathway and response to oxidative stress play a major role in the genetics of human longevity: the lesson of centenarians. Mech Ageing Dev 126: 351–361, 2005.
    Crossref | PubMed | Web of Science | Google Scholar
  • 37 Franceschi C, Valensin S, Bonafe M, et al. The network and the remodeling theories of aging: historical background and new perspectives. Exp Gerontol 35: 879–896, 2000.
    Crossref | Web of Science | Google Scholar
  • 38 Frasca D, Riley RL, Blomberg BB. Humoral immune response and B-cell functions including immunoglobulin class switch are downregulated in aged mice and humans. Semin Immunol 17: 378–384, 2005.
    Crossref | Web of Science | Google Scholar
  • 39 Friedl P, den Boer AT, Gunzer M. Tuning immune responses: diversity and adaptation of the immunological synapse. Nat Rev Immunol 5: 532–545, 2005.
    Crossref | PubMed | Web of Science | Google Scholar
  • 40 Fulop T, Larbi A, Douziech N, Fortin C, Guerard KP, Lesur O, Khalil A, Dupuis G. Signal transduction and functional changes in neutrophils with aging. Aging Cell 3: 217–226, 2004.
    Crossref | Web of Science | Google Scholar
  • 41 Gardner MB,. Genetic control of retroviral disease in aging wild mice. Genetica 911: 199–209, 1993.
    Google Scholar
  • 42 Gomez CR, Boehmer ED, Kovacs EJ. The aging innate immune system. Curr Opin Immunol 17: 457–462, 2005.
    Crossref | PubMed | Web of Science | Google Scholar
  • 43 Goodwin K, Viboud C, Simonsen L. Antibody response to influenza vaccination in the elderly: a quantitative review. Vaccine 24: 1159–1169, 2006.
    Crossref | Web of Science | Google Scholar
  • 44 Herrero C, Marques L, Lloberas J, Celada A. IFN-gamma-dependent transcription of MHC class II IA is impaired in macrophages from aged mice. J Clin Invest 107: 485–493, 2001.
    Crossref | Web of Science | Google Scholar
  • 45 Heuser MD, Adler WH. Immunological aspects of aging and malnutrition: consequences and intervention with nutritional immunomodulators. Clin Geriatr Med 13: 697–715, 1997.
    Crossref | Web of Science | Google Scholar
  • 46 Hsu HC, Lu L, Yi N, Van Zant G, Williams RW, Mountz JD. Quantitative trait locus (QTL) mapping in aging systems. Methods Mol Biol 371: 321–348, 2007.
    Crossref | Google Scholar
  • 47 Hulbert AJ. On the importance of fatty acid composition of membranes for aging. J Theor Biol 234: 277–288, 2005.
    Crossref | PubMed | Web of Science | Google Scholar
  • 48 Johnson SA, Cambier JC. Ageing, autoimmunity and arthritis: senescence of the B cell compartment: implications for humoral immunity. Arthritis Res Ther 6: 131–139, 2004.
    Crossref | Web of Science | Google Scholar
  • 49 Khan N, Shariff N, Cobbold M, Bruton R, Ainsworth JA, Sinclair AJ, Nayak L, Moss PA. Cytomegalovirus seropositivity drives the CD8 T cell repertoire toward greater clonality in healthy elderly individuals. J Immunol 169: 1984–1992, 2002.
    Crossref | Web of Science | Google Scholar
  • 50 Kohut ML, Lee W, Martin A, Arnston B, Russell DW, Ekkekakis P, Yoon KJ, Bishop A, Cunnick JE. The exercise-induced enhancement of influenza immunity is mediated in part by improvements in psychosocial factors in older adults. Brain Behav Immun 19: 357–366, 2005.
    Crossref | Web of Science | Google Scholar
  • 51 Kohut ML, Senchina DS. Reversing age-associated immunosenescence via exercise. Exerc Immunol Rev 10: 36–41, 2004.
    Google Scholar
  • 52 Krabbe KS, Pedersen M, Bruunsgaard H. Inflammatory mediators in the elderly. Exp Gerontol 39: 687–699, 2004.
    Crossref | PubMed | Web of Science | Google Scholar
  • 53 Larbi A, Douziech N, Dupuis G, Khalil A, Pelletier H, Guerard KP, Fulop T Jr. Age-associated alterations in the recruitment of signal-transduction proteins to lipid rafts in human T lymphocytes. J Leukoc Biol 75: 373–381, 2004.
    Crossref | PubMed | Web of Science | Google Scholar
  • 54 Larbi A, Dupuis G, Khalil A, Douziech N, Fortin C, Fulop T Jr. Differential role of lipid rafts in the functions of CD4+ and CD8+ human T lymphocytes with aging. Cell Signal 18: 1017–1030, 2006.
    Crossref | Web of Science | Google Scholar
  • 55 Larbi A, Grenier A, Frisch F, Douziech N, Fortin C, Carpentier AC, Fulop T. Acute in vivo elevation of intravascular triacylglycerol lipolysis impairs peripheral T cell activation in humans. Am J Clin Nutr 82: 949–956, 2005.
    Crossref | Web of Science | Google Scholar
  • 56 LeMaoult J, Szabo P, Weksler ME. Effect of age on humoral immunity, selection of the B-cell repertoire and B-cell development. Immunol Rev 160: 115–126, 1997.
    Crossref | Web of Science | Google Scholar
  • 57 Lesourd BM. Nutrition and immunity in the elderly: modification of immune responses with nutritional treatments. Am J Clin Nutr 66: 478–484, 1997.
    Crossref | Web of Science | Google Scholar
  • 58 Lesser KJ, Paiusi IC, Leips J. Naturally occurring genetic variation in the age-specific immune response of Drosophila melanogaster. Aging Cell 5: 293–295, 2006.
    Crossref | Web of Science | Google Scholar
  • 59 Licastro F, Grimaldi LME, Bonafè et al. M. Interleukin-6 gene alleles affect the risk of Alzheimer’s disease and levels of the cytokine in blood and brain. Neurobiol Aging 24: 921–926, 2003.
    Crossref | Web of Science | Google Scholar
  • 60 Linton PJ, Haynes L, Tsui L, Zhang X, Swain S. From naive to effector: alterations with aging. Immunol Rev 160: 9–18, 1997.
    Crossref | Web of Science | Google Scholar
  • 61 Lung TL, Saurwein-Teissl M, Parson W, Schonitzer D, Grubeck-Loebenstein B. Unimpaired dendritic cells can be derived from monocytes in old age and can mobilize residual function in senescent T cells. Vaccine 18: 1606–1612, 2000.
    Crossref | Web of Science | Google Scholar
  • 62 Lustig A, Weeraratna AT, Wood 3rd WW, Teichberg D, Bertak D, Carter A, Poosala S, Firman J, Becker KG, Zonderman AB, Longo DL, Taub DD. Transcriptome analysis of age-, gender-and diet-associated changes in murine thymus. Cell Immunol 245: 42–61, 2007.
    Crossref | Web of Science | Google Scholar
  • 63 Lutz CT, Moore MB, Bradley S, Shelton BJ, Lutgendorf SK. Reciprocal age related change in natural killer cell receptors for MHC class I. Mech Ageing Dev 126: 722–731, 2005.
    Crossref | Web of Science | Google Scholar
  • 64 Luz C, Dornelles F, Preissler T, Collaziol D, da Cruz IM, Bauer ME. Impact of psychological and endocrine factors on cytokine production of healthy elderly people. Mech Ageing Dev 124: 887–895, 2003.
    Crossref | Web of Science | Google Scholar
  • 65 Mariani E, Mariani AR, Meneghetti A, Tarozzi A, Cocco L, Facchini A. Age-dependent decreases of NK cell phosphoinositide turnover during spontaneous but not Fc-mediated cytolytic activity. Int Immunol 10: 981–989, 1998.
    Crossref | Web of Science | Google Scholar
  • 66 Mariani E, Meneghetti A, Neri S, Ravaglia G, Forti P, Cattini L, Facchini A. Chemokine production by natural killer cells from nonagenarians. Eur J Immunol 32: 1524–1529, 2002.
    Crossref | Google Scholar
  • 67 Maxwell LD, Ross OA, Curran MD, Rea IM, Middleton D. Investigation of KIR diversity in immunosenescence and longevity within the Irish population. Exp Gerontol 39: 1223–1232, 2004.
    Crossref | Web of Science | Google Scholar
  • 68 Mazari L, Lesourd B. Nutritional influences on immune response in healthy aged persons. Mech Ageing Dev 104: 25–40, 1998.
    Crossref | Web of Science | Google Scholar
  • 69 Meerlo P, Koehl M, Van der Borght K, Turke FW. Sleep restriction alters the hypothalamic-pituitary-adrenal response to stress. J Neuroendocrinol 14: 397–402, 2002.
    Crossref | PubMed | Web of Science | Google Scholar
  • 70 Meydani A, Ahmed T, Meydani SN. Aging, nutritional status, and infection in the developing world. Nutr Rev 63: 233–246, 2005.
    Crossref | Google Scholar
  • 71 Min H, Montecino-Rodriguez E, Dorshkind K. Effects of aging on early B- and T-cell development. Immunol Rev 205: 7–17, 2005.
    Crossref | Web of Science | Google Scholar
  • 72 Molling JW, Kolgen W, van DV, Boomsma MF, Kruizenga H, Smorenburg CH, Molenkamp BG, Langendijk JA, Leemans CR, von Blomberg BM, Scheper RJ, van den Eertwegh AJ. Peripheral blood IFN-gamma-secreting Valpha24+Vbeta11+ NKT cell numbers are decreased in cancer patients independent of tumor type or tumor load. Int J Cancer 116: 87–93, 2005.
    Crossref | Web of Science | Google Scholar
  • 73 Muller DC, Elahi D, Tobin JD, Andres R. The effect of age on insulin resistance and secretion: a review. Semin Nephrol 16: 289–298, 1996.
    PubMed | Web of Science | Google Scholar
  • 74 Mysliwska J, Trzonkowski P, Szmit E, Brydak LB, Machala M, Mysliwski A. Immunomodulating effect of influenza vaccination in the elderly differing in health status. Exp Gerontol 39: 1447–1458, 2004.
    Crossref | Web of Science | Google Scholar
  • 75 Nguyen DH, Espinoza JC, Taub DD. Cellular cholesterol enrichment impairs T cell activation and chemotaxis. Mech Ageing Dev 125: 641–650, 2004.
    Crossref | PubMed | Web of Science | Google Scholar
  • 76 Ogata K, An E, Shioi Y, Nakamura K, Luo S, Yokose N, Minami S, Dan K. Association between natural killer cell activity and infection in immunologically normal elderly people. Clin Exp Immunol 124: 392–397, 2001.
    Crossref | Web of Science | Google Scholar
  • 77 Ogata K, Yokose N, Tamura H, An E, Nakamura K, Dan K, Nomura T. Natural killer cells in the late decades of human life. Clin Immunol Immunopathol 84: 269–275, 1997.
    Crossref | PubMed | Google Scholar
  • 78 Olsson J, Wikby A, Johansson B, Löfgren S, Nilsson BO, Ferguson F. Age-related change in peripheral blood T-lymphocyte subpopulations and cytomegalovirus infection in the very old: the Swedish longitudinal OCTO immune study. Mech Ageing Dev 121: 187–201, 2000.
    Web of Science | Google Scholar
  • 79 Ottaviani E, Franceschi C. The invertebrate phagocytic immunocyte: clues to a common evolution of immune and neuroendocrine systems. Immunol Today 18: 169–174, 1997.
    Crossref | Google Scholar
  • 80 Ouyang Q, Wagner WM, Voehringer D, Wikby A, Klatt T, Walter S, Müller CA, Pircher H, Pawelec G. Age-associated accumulation of CMV-specific CD8+ T cells expressing the inhibitory killer cell lectin-like receptor G1. Exp Gerontol 38: 911–920, 2003.
    Crossref | Web of Science | Google Scholar
  • 81 Ouyang Q, Wagner WM, Walter S, Muller CA, Wikby A, Aubert G, Klatt T, Stevanovic S, Dodi T, Pawelec G. The age-related increase in CD8+ T cells carrying receptors for an immunodominant Epstein-Barr virus (EBV) epitope is counterbalanced by decreased antigen-specific responsiveness. Mech Ageing Dev 124: 477–485, 2003.
    Crossref | Web of Science | Google Scholar
  • 82 Ouyang Q, Wagner WM, Zheng W, Wikby A, Remarque EJ, Pawelec G. Dysfunctional CMV-specific CD8+ T cells accumulate in the elderly. Exp Gerontol 39: 607–613, 2004.
    Crossref | Web of Science | Google Scholar
  • 83 Padgett DA, Glaser R. How stress influences the immune response. Trends Immunol 24: 444–448, 2003.
    Crossref | Web of Science | Google Scholar
  • 84 Passeri G, Pini G, Troiano L, Vescovini R, Sansoni P, Passeri M, Gueresi P, Delsignore R, Pedrazzoni M, Franceschi C. Low vitamin D status, high bone turnover, and bone fractures in centenarians. J Clin Endocrinol Metab 88: 5109–5115, 2003.
    Crossref | Web of Science | Google Scholar
  • 85 Pawelec G, Akbar A, Caruso C, Solana R, Grubeck-Loebenstein B, Wikby A. Human immunosenescence: is it infectious? Immunol Rev 205: 257–268, 2005.
    Crossref | Web of Science | Google Scholar
  • 86 Pawelec G, Rehbein A, Haehnel K, Merl A, Adibzadeh M. Human T-cell clones in long-term culture as a model of immunosenescence. Immunol Rev 160: 31–42, 1997.
    Crossref | Web of Science | Google Scholar
  • 87 Pawelec G, Solana R, Remarque E, Mariani E. Impact of aging on innate immunity. J Leukoc Biol 64: 703–712, 1998.
    Crossref | Web of Science | Google Scholar
  • 88 Pedersen BK, Hoffman-Goetz L. Exercise and the immune system: regulation, integration, and adaptation. Physiol Rev 80: 1055–1081, 2000.
    Link | Web of Science | Google Scholar
  • 89 Peralbo E, Alonso C, Solana R. Invariant NKT and NKT-like lymphocytes: Two different T cell subsets that are differentially affected by ageing. Exp Gerontol 42: 703–708, 2007.
    Crossref | Web of Science | Google Scholar
  • 90 Plowden J, Renshaw-Hoelscher M, Engleman C, Katz J, Sambhara S. Innate immunity in aging: impact on macrophage function. Aging Cell 3: 161–167, 2004.
    Crossref | Web of Science | Google Scholar
  • 91 Rees D, Miles EA, Banerjee T, Wells SJ, Roynette CE, Wahle KW, Calder PC. Dose-related effects of eicosapentaenoic acid on innate immune function in healthy humans: a comparison of young and older men. Am J Clin Nutr 83: 331–342, 2006.
    Crossref | Web of Science | Google Scholar
  • 92 Reiche EM, Morimoto HK, Nunes SM. Stress and depression-induced immune dysfunction: implications for the development and progression of cancer. Int Rev Psychiatry 17: 515–527, 2005.
    Crossref | Web of Science | Google Scholar
  • 93 Reker-Hadrup S, Strindhall J, Kollgaard T, Seremet T, Johansson B, Pawelec G, thor Straten P, Wikby A. Longitudinal studies of clonally expanded CD8 T cells reveal a repertoire shrinkage predicting mortality and an increased number of dysfunctional cytomegalovirus-specific T cells in the very elderly. J Immunol 176: 2645–2653, 2006.
    Crossref | Web of Science | Google Scholar
  • 94 Roger PM, Perbost I, Ticchioni M, Fuzibet JG, Breittmayer JP, Durant J, Pesce A, Bernard A, Dellamonica P. Apoptosis of naive CD4+ T-cells from HIV-infected patients with poor immune response to HAART is enhanced in vitro by steroid. J Infect 49: 216–221, 2004.
    Crossref | Web of Science | Google Scholar
  • 95 Rowshani AT, Bemelman FJ, van Leeuwen EM, van Lier RA, ten Berge IJ. Clinical and immunologic aspects of cytomegalovirus infection in solid organ transplant recipients. Transplantation 79: 381–386, 2005.
    Crossref | Web of Science | Google Scholar
  • 96 Salvioli S, Olivieri F, Marchegiani F, Cardelli M, Santoro A, Bellavista E, M, Invidia L, Capri M, Valensin S, Sevini F, Cevenini E, Celani L, Lescai F, Gonos E, Caruso C, Paolisso G, De Benedictis G, Monti D, Franceschi C. Genes, ageing and longevity in humans: problems, advantages and perspectives. Free Radic Res 40: 1303–1323, 2006.
    Web of Science | Google Scholar
  • 97 Scola L, Candore G, Colonna-Romano G, Crivello A, Forte GI, Paolisso G, Franceschi C, Lio D, Caruso C. Study of the association with −330T/G IL-2 in a population of centenarians from centre and south Italy. Biogerontology 6: 425–429, 2005.
    Crossref | Web of Science | Google Scholar
  • 98 Shearer WT, Reuben JM, Mullington JM, Price NJ, Lee BN, Smith EO, Szuba MP, Van Dongen HP, Dinges DF. Soluble TNF-alpha receptor 1 and IL-6 plasma levels in humans subjected to the sleep deprivation model of spaceflight. J Allergy Clin Immunol 107: 165–170, 2001.
    Crossref | PubMed | Web of Science | Google Scholar
  • 99 Solana R, Mariani E. NK and NK/T cells in human senescence. Vaccine 18: 1613–1620, 2000.
    Crossref | Web of Science | Google Scholar
  • 100 Solana R, Pawelec G, Tarazona R. Aging and innate immunity. Immunity 24: 491–494, 2006.
    Crossref | PubMed | Web of Science | Google Scholar
  • 101 Spiegel K, Leproult R, Van Cauter E. Impact of sleep debt on metabolic and endocrine function. Lancet 354: 1435–1439, 1999.
    Crossref | PubMed | Web of Science | Google Scholar
  • 102 Stulnig TM, Zeyda M. Immunomodulation by polyunsaturated fatty acids: impact on T-cell signaling. Lipids 39: 1171–1175, 2004.
    Crossref | Web of Science | Google Scholar
  • 103 Taner SB, Onflet B, Pirinen NJ, McCann FE, Magee AI, Davis MM. Control of immune responses by trafficking cell surface proteins, vesicles and lipid rafts to and from the immunological synapse. Traffic 5: 651–661, 2004.
    Crossref | Web of Science | Google Scholar
  • 104 Targonski PV, Jacobson RM, Poland GA. Immunosenescence: role and measurement in influenza vaccine response among the elderly. Vaccine 25: 3066–3069, 2007.
    Crossref | Web of Science | Google Scholar
  • 106 Tieri P, Valensin S, Latora V, Castellani GC, Marchiori M, Remondini D, Franceschi C. Quantifying the relevance of different mediators in the human immune cell network. Bioinformatics 21: 1639–1643, 2005.
    Crossref | Web of Science | Google Scholar
  • 107 Tortorella C, Simone O, Piazzolla G, Stella I, Antonaci S. Age-related impairment of GM-CSF-induced signaling in neutrophils: role of SHP-1 and SOCS proteins. Ageing Res Rev 6: 81–93, 2007.
    Crossref | PubMed | Web of Science | Google Scholar
  • 108 Uyemura K, Castle SC, Makinodan T. The frail elderly: role of dendritic cells in the susceptibility of infection. Mech Ageing Dev 123: 955–962, 2002.
    Crossref | Web of Science | Google Scholar
  • 109 Vallejo AN, Nestel AR, Schirmer M, Weyand CM, Goronzy JJ. Aging-related deficiency of CD28 expression in CD4+ T cells is associated with the loss of gene-specific nuclear factor binding activity. J Biol Chem 273: 8119–8129, 1998.
    Crossref | Web of Science | Google Scholar
  • 110 van Bergen J, Thompson A, van der Slik A, Ottenhoff THM, Gussekloo J, Koning F. Phenotypic and functional characterization of CD4 T cells expressing killer Ig-like receptors. J Immunol 173: 6719–6726, 2004.
    Crossref | Web of Science | Google Scholar
  • 111 Van Cauter E, Leproult R, Plat L. Age-related changes in slow wave sleep and REM sleep and relationship with growth hormone and cortisol levels in healthy men. JAMA 284: 861–868, 2000.
    Crossref | PubMed | Web of Science | Google Scholar
  • 112 van Duin D, Mohanty S, Thomas V, Ginter S, Montgomery RR, Fikrig E, Allore HG, Medzhitov R, Shaw AC. Age-associated defect in human TLR-1/2 function. J Immunol 178: 970–975, 2007.
    Crossref | Web of Science | Google Scholar
  • 113 van Heemst D, Mooijaart SP, Beekman M, Schreuder J, de Craen AJ, Brandt BW, Slagboom PE, Westendorp RG; Long Life study group. Variation in the human TP53 gene affects old age survival and cancer mortality. Exp Gerontol 40: 11–15, 2005.
    Crossref | Web of Science | Google Scholar
  • 114 Vasto S, Candore G, Balistreri CR, Caruso M, Colonna-Romano G, Grimaldi MP, Listi F, Nuzzo D, Lio D, Caruso C. Inflammatory networks in ageing, age-related diseases and longevity. Mech Ageing Dev 128: 83–91, 2007.
    Crossref | Web of Science | Google Scholar
  • 115 Vescovini R, Biasini C, Fagnoni FF, Telera AR, Zanlari L, Pedrazzoni M, Bucci L, Monti D, Medici MC, Chezzi C, Franceschi C, Sansoni P. Massive load of functional effector CD4+ and CD8+ T cells against cytomegalovirus in very old subjects. J Immunol 179: 4283–4291, 2007.
    Crossref | PubMed | Web of Science | Google Scholar
  • 116 Vescovini R, Telera A, Fagnoni FF, Biasini C, Medici MC, Valcavi P, di Pede P, Lucchini G, Zanlari L, Passeri G, Zanni F, Chezzi C, Franceschi C, Sansoni P. Different contribution of EBV and CMV infections in very long-term carriers to age-related alterations of CD8+ T cells. Exp Gerontol 39: 1233–1243, 2004.
    Crossref | Web of Science | Google Scholar
  • 117 Villanueva JL, Solana R, Alonso MC, Pena J. Changes in the expression of HLA-class II antigens on peripheral blood monocytes from aged humans. Dis Markers 8: 85–91, 1990.
    Web of Science | Google Scholar
  • 118 Vitetta L, Anton B, Cortizo F, Sali A. Mind-body medicine: stress and its impact on overall health and longevity. Ann NY Acad Sci 1057: 492–505, 2005.
    Crossref | Google Scholar
  • 119 Wack A, Cossarizza A, Heltai S, Barbieri D, D’Addato S, Franceschi C, Dellabona P, Casorati G. Age-related modifications of the human alpha-beta T cell repertoire due to different clonal expansions in the CD4+ and CD8+ subsets. Int Immunol 10: 1281–1288, 1998.
    Crossref | Web of Science | Google Scholar
  • 120 Wallace DL, Zhang Y, Ghattas H, Worth A, Irvine A, Bennett AR, Griffin GE, Beverley PC, Tough DF, Macallan DC. Direct measurement of T cell subset kinetics in vivo in elderly men and women. J Immunol 173: 1787–1794, 2004.
    Crossref | Web of Science | Google Scholar
  • 121 Wikby A, Ferguson F, Forsey R, Thompson J, Strindhall J, Löfgren S, Nilsson BO, Ernerudh J, Pawelec G, Johansson B. An immune risk phenotype, cognitive impairment and survival in very late life: impact of allostatic load in Swedish octogenarian and nonagenarian humans. J Gerontol Biol Sci 60: 556–565, 2005.
    Crossref | Web of Science | Google Scholar
  • 122 Wikby A, Johansson B, Olsson J, Löfgren S, Nilsson BO, Ferguson F. Expansions of peripheral blood CD8 T-lymphocyte subpopulations and an association with cytomegalovirus seropositivity in the elderly: the Swedish NONA immune study. Exp Gerontol 37: 445–453, 2002.
    Crossref | Web of Science | Google Scholar
  • 123 Wikby A, Maxson P, Olsson J, Johansson B, Ferguson FG. Changes in CD8 and CD4 lymphocyte subsets, T cell proliferation responses and non-survival in the very old: the Swedish longitudinal OCTO-immune study. Mech Ageing Dev 102: 187–198, 1998.
    Crossref | Web of Science | Google Scholar
  • 124 Wikby A, Nilsson BO, Forsey R, Thompson J, Strindhall J, Löfgren S, Ernerudh J, Pawelec G, Ferguson F, Johansson B. The immune risk phenotype is associated with IL-6 in the terminal decline stage: findings from the Swedish NONA immune longitudinal study of very late life functioning. Mech Ageing Dev 127: 695–704, 2006.
    Crossref | PubMed | Web of Science | Google Scholar
  • 125 Wingender G, Kronenberg M. Invariant natural killer cells in the response to bacteria: the advent of specific antigens. Future Microbiol 1: 325–340, 2006.
    Crossref | PubMed | Web of Science | Google Scholar
  • 126 Woods JA, Ceddia MA, Wolters VW, Evans LK, McAuley E. Effects of 6 months of moderate aerobic exercise training on immune function in the elderly. Mech Ageing Dev 109: 1–19, 1999.
    Crossref | PubMed | Web of Science | Google Scholar
  • 127 World Health Organization. The European Health Report 2002. European Series No. 97. Geneva, Switzerland: World Health Organization, 2002.
    Google Scholar
  • 128 Yang EV, Glaser R. Stress-induced immunomodulation and the implications for health. Int Immunopharmacol 2: 315–324, 2002.
    Crossref | Web of Science | Google Scholar