SummaryThe accumulation of CD28 − T cells, particularly within the CD8 subset, is one of the most prominent changes during T cell homeostasis and function associated with aging in human. CD28, a major costimulatory receptor, is responsible for the optimal antigen-mediated T cell activation, proliferation, and survival of T cells. CD28 − T cells exhibit reduced antigen receptor diversity, defective antigeninduced proliferation, and a shorter replicative lifespan while showing enhanced cytotoxicity and regulatory functions. Gene expression analyses reveal profound changes of CD28 − T cells in comparison to their CD28 + counterparts and support their functional differences. Here we review the recent advance of our understanding of CD28− T cells and their role in age-associated decline of immune function.

Summary Memory lymphocytes are characterized by their ability to exhibit a rapid response to the recall antigen, in which differential transcription plays a significant role, yet the underlying mechanism is not understood. We report here a genome-wide analysis of histone methylation on two histone H3 lysine residues (H3K4me3 and H3K27me3) and gene expression profiles in naïve and memory CD8 T cells. We found that a general correlation exists between the levels of gene expression and the levels of H3K4me3 (positive correlation) and H3K27me3 (negative correlation) across the gene body. These correlations display four distinct modes: repressive, active, poised, and bivalent, reflecting different functions of these genes. Furthermore, a permissive chromatin state of each gene is established by a combination of different histone modifications. Our findings reveal a complex regulation by histone methylation in differential gene expression and suggest that histone methylation may be responsible for memory CD8 T cell function.

Generation of CD8

SummaryWe have outlined the carefully orchestrated process of CD4 + T-cell differentiation from naïve to effector and from effector to memory cells with a focus on how these processes can be studied in vivo in responses to pathogen infection. We emphasize that the regulatory factors that determine the quality and quantity of the effector and memory cells generated include (i) the antigen dose during the initial T-cell interaction with antigen-presenting cells; (ii) the dose and duration of repeated interactions; and (iii) the milieu of inflammatory and growth cytokines that responding CD4 + T cells encounter. We suggest that heterogeneity in these regulatory factors leads to the generation of a spectrum of effectors with different functional attributes. Furthermore, we suggest that it is the presence of effectors at different stages along a pathway of progressive linear differentiation that leads to a related spectrum of memory cells. Our studies particularly highlight the multi-faceted roles of CD4 + effector and memory T cells in protective responses to influenza infection and support the concept that efficient priming of CD4 + T cells that react to shared influenza proteins could contribute greatly to vaccine strategies for influenza. Overview and historyOver the past decade, others and we have concluded that naïve precursor T cells must undergo many steps of division and differentiation before they acquire the effector functions necessary for their many regulatory activities (1). One of these activities is 'help' for B cells, which promotes B-cell isotype switching, somatic mutation, and differentiation in germinal centers to plasma cells and memory cells (2-4). Another key regulatory activity carried out by CD4 + T cells involves help for naïve CD8 + T cells to promote their optimum differentiation into cytotoxic effectors and memory cells and to support their maintenance (5-7). In addition, there are a host of other regulatory effects of CD4 + effectors on macrophages as well as other antigenpresenting cells (APCs). These CD4 + T-cell functions are mediated by surface coreceptors on the effector cells, including CD40L, CD28, cytotoxic T-lymphocyte antigen-4, etc., that interact with receptors on B cells, dendritic cells, macrophages, or other APCs, and by potent cytokines secreted by the CD4 + effectors upon recognition of antigen on APCs.CD4 + T-cell effectors represent a collection of distinct subsets characterized in part by their abilities to produce different patterns of cytokines. The two best characterized subsets are designated T-helper 1 (Th1), producing interferon-γ (IFN-γ), and Th2, producing interleukin-4 (IL-4), IL-5, and IL-13 as 'signature' cytokines. Recently, evidence has accumulated for a third . Most probably the APCs that stimulate the naïve CD4 + T cells are also the initial source of cytokines that imprint these subsets in situ (11). It is also increasingly accepted that the polarizing cytokines secreted by the APCs are dictated by the context of the antigen, be it from a pathogen or...

BLM, the helicase defective in Bloom syndrome, is part of a multiprotein complex that protects genome stability. Here, we show that Rif1 is a novel component of the BLM complex and works with BLM to promote recovery of stalled replication forks. First, Rif1 physically interacts with the BLM complex through a conserved C-terminal domain, and the stability of Rif1 depends on the presence of the BLM complex. Second, Rif1 and BLM are recruited with similar kinetics to stalled replication forks, and the Rif1 recruitment is delayed in BLM-deficient cells. Third, genetic analyses in vertebrate DT40 cells suggest that BLM and Rif1 work in a common pathway to resist replication stress and promote recovery of stalled forks. Importantly, vertebrate Rif1 contains a DNA-binding domain that resembles the aCTD domain of bacterial RNA polymerase a; and this domain preferentially binds fork and Holliday junction (HJ) DNA in vitro and is required for Rif1 to resist replication stress in vivo. Our data suggest that Rif1 provides a new DNA-binding interface for the BLM complex to restart stalled replication forks.

Human telomerase consists of two essential components, telomerase RNA template (hTER) and telomerase reverse transcriptase (hTERT), and functions to synthesize telomere repeats that serve to protect the integrity of chromosomes and to prolong the replicative life span of cells. Telomerase activity is expressed selectively in germ-line and malignant tumor cells but not in most normal human somatic cells. As a notable exception, telomerase is expressed in human lymphocytes during development, differentiation, and activation. Recent studies have suggested that regulation of telomerase is determined by transcription of hTERT but not hTER. The highly regulated expression of telomerase in lymphocytes provides an opportunity to analyze the contribution of transcriptional regulation of hTERT and hTER. We report here an analysis of hTERT expression by Northern and in situ hybridization. It was found that hTERT mRNA is expressed at detectable levels in all subsets of human lymphocytes isolated from thymus, tonsil, and peripheral blood, regardless of the status of telomerase activity. hTERT expression is regulated as a function of lineage development, differentiation, and activation. Strikingly, however, telomerase activity in these cells is not correlated strictly with the levels of hTERT and hTER transcripts. The absence of correlation between telomerase activity and hTERT mRNA could not be attributed to the presence of hTERT splice variants or to detectable inhibitors of telomerase activity. Thus, transcriptional regulation of hTERT is not sufficient to account for telomerase activity in human lymphocytes, indicating a likely role of posttranscriptional factors in the control of enzyme function.

Annual immunization with a trivalent inactivated vaccine (TIV) is considered efficacious for prevention of seasonal influenza in older adults. However, significant controversy exists in the current literature regarding the clinical effectiveness of TIV immunization in this highly heterogeneous population. Frailty is an important geriatric syndrome characterized by decreased physiologic reserve and increased vulnerability to stressors. Using a validated set of frailty criteria, we conducted a prospective observational study to evaluate TIV-induced strain-specific hemagglutination inhibition (HI) antibody titers and post-vaccination rates of influenza-like illness (ILI) and infection in frail and nonfrail older adults. The results indicate that frailty was associated with significant impairment in TIV-induced strain-specific HI titers and increased rates of ILI and laboratory-confirmed influenza infection. These findings suggest that assessing frailty status in the elderly may identify those who are less likely to respond to TIV immunization and be at higher risk for seasonal influenza and its complications.

Telomeres are essential in maintaining chromosome integrity and in controlling cellular replication. Attrition of telomere length in peripheral blood mononuclear cells (PBMCs) with age is well documented from cross-sectional studies. But the actual in vivo changes in telomere lengths and its relationship with the contributing factors within the individuals with age have not been fully addressed. In the present paper, we report a longitudinal analysis of telomere length in the PBMCs, lymphocytes and monocytes of 216 human subjects aged from 20–90 years assessed at 0-, 5- and 12-year follow-up. For the 5- and 12-year follow-up, telomere length in the PBMCs decreased in 34 % and 46 %, exhibited no detectable change in 56 % and 47 % and increased in 10 % and 7 % of the subjects respectively. The rate of telomere change was distinct for T-cells, B-cells and monocytes for any given subject. Telomerase activity declined with age in the resting T-cells and B-cells and the activated T-cells. Finally, a significant portion of telomere attrition in T-cells with age was explained by a decline in the telomerase activity, decreased naïve cells and the change in physiological conditions such as elevated blood glucose and interleukin (IL)-6 levels. These findings show that changes in the telomere length of the PBMCs with age in vivo occur at different rates in different individuals and cell types and reveal that changes in the telomere length in the T-cells with age is influenced by the telomerase activity, naïve T-cell percentage and changes in health conditions.