HomeLarge Type Edition
HOME ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Services
Right arrow Download to citation manager
PubMed
Right arrow PubMed Citation
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 58:B975-B983 (2003)
© 2003 The Gerontological Society of America

Aging Is Associated With Increased T-Cell Chemokine Expression in C57Bl/6 Mice

Jun Chen1, Ruran Mo1, Pascal A. Lescure2, David E. Misek2, Samir Hanash2, Rosemary Rochford3, Monte Hobbs3 and Raymond L. Yung1

1 Divisions of Geriatric Medicine and Rheumatology, Department of Internal Medicine
2 Department of Pediatrics
3 Department of Epidemiology, University of Michigan, Ann Arbor.


    Abstract
 Top
 Abstract
 Methods
 Results
 Discussion
 References
 
To better understand the contribution of the chemokine system in immune senescence, we determined the aging effect on CD4+ and CD8+ T-cell chemokine expression by microarray screening and ribonuclease protection assays. Compared with young C57BL/6 mice, freshly isolated CD4+ cells from aged mice express increased level of interferon-{gamma}-inducible protein 10 (IP-10), macrophage inflammatory protein (MIP)-1{alpha}, MIP-1ß, regulated upon activation, normal T-cell expressed and secreted (RANTES), and lymphotactin (Ltn). T-cell receptor (TCR)/coreceptor stimulation up-regulates MIP-1{alpha}, MIP-1ß, and Ltn, and down-regulates IP-10 and RANTES expression in CD4+ T cells. A similar increase in chemokine expression was demonstrated in the CD8+ T cell. Enzyme-linked immunosorbent assays confirmed increased T-cell chemokine protein production in old CD4+ and CD8+ T cells. Finally, supernatant of cultured T cells from old animals caused an enhanced leukocyte chemotaxis response compared with that from young animals, suggesting that the age-related difference in T-cell chemokine expression has an important functional consequence.


CHEMOKINES, or chemotactic cytokines, are small proteins (8–12 kd) with 4 conserved cysteines that form 2 essential disulfite bonds (1,2). Approximately 50 chemokines have been identified (3). Depending on whether the first 2 cysteines are adjacent or separated by 1 amino acid, most chemokines can be classified as belonging to either the CC or CXC chemokine subfamilies. In addition, 3 amino acids separate the 2 cysteines in the CX3C subfamily, and only the second and fourth cysteine residues are preserved in the C subfamily. The principal targets of chemokines are bone marrow-derived cells (3). Chemokines and their receptors are fundamental determinants of leukocyte localization during immune and inflammatory responses. In addition, they play an important role in the pathogenesis of many diseases prevalent in the elderly population including rheumatoid arthritis (4), coronary artery diseases (3,5,6), and human immunodeficiency virus (HIV)-1 infection (7–9). However, very little is known about the chemokine response in aging.

Despite investigations in the past few decades, there remains a poor correlation between the known age-related changes in protective immune response and the observed worse clinical outcome of many diseases that preferentially affect elderly people. Of the many factors studied, alterations in the T-cell compartment are believed to play a critical role in explaining immunosenescence (10). We recently reported the association between aging and changes in T-cell chemokine receptor expression (11). CD4+ T cells from aged mice were found to express a higher level of CCR1, 2, 4, 5, 6, 8, and CXCR2-5, and a lower level of CCR7 and 9 compared with cells from young mice. The changes are not strain specific and cannot be explained by the aging-associated differences in T-helper 1 (Th1)/Th2 or naïve/memory profile. Additionally, caloric restriction partially or completely restored the aging effects. In this article, we further examined the aging effect on the chemokine system by comparing T-cell chemokine expression in young and old C57Bl/6 mice.


    METHODS
 Top
 Abstract
 Methods
 Results
 Discussion
 References
 
Mice
Young (3–4 months) and old (20–22 months) C57Bl/6 mice were obtained from the National Institute on Aging (NIA) Aged Rodent Colonies through Harlan Sprague Dawley, Inc. (Indianapolis, IN). All mice were maintained in a pathogen-free environment provided by the Unit for Laboratory Animal Medicine at the University of Michigan until they were used.

CD4 and CD8 Cell Isolation
CD4+ and CD8+ T cells were isolated as per previously published protocol (11). Careful inspection was done to exclude aged animals with cancer or lymphoma. CD4+ and CD8+ T cells were isolated by the magnetic cell separation (MACS) MicroBeads technology (Miltenyi Biotec, Bergisch-Gladbach, Germany) according to the manufacturer's instructions. CD4+ cells were negatively selected using a combination of CD8a (Ly-2), CD11b (Mac-1), and CD19 Microbeads. CD8+ cells were selected using the same protocol except that CD4 microbeads were used. Alternately, CD4 and CD8 cells were positively selected using CD4 (L3T4) or CD8 Microbeads. Purity of the isolated cells was confirmed by staining with fluorescein isothiocyanate conjugated (FITC) anti-CD4, anti-CD8, and control IgG2a antibodies (all from BD PharMingen, CA) and was consistently between 94%–99%.

T-Cell Culture and Stimulation With Monoclonal Antibodies
All the monoclonal antibodies (mAbs) used were from BD PharMingen (San Diego, CA) unless otherwise stated. Combined anti-CD3 and anti-CD28 mAbs were used to provide maximum T-cell receptor (TCR)/costimulation to the CD4 and CD8 T cells as before (11). Briefly, anti-CD3e (2.5 µg/ml final concentration) was diluted in PBS (phosphate-buffered saline) and immobilized to the individual wells of 6-well flat bottom tissue culture plates (Corning Glass Works, Corning, NY) in a final volume of 6 ml overnight. The plates were then washed with PBS twice. Purified 1 x 106 CD4 cells were then cultured in 6 ml media containing RPMI 1640 medium supplemented with 10% FBS (fetal bovine serum), 2-ME, and anti-CD28 (2.25 µg/ml final concentration) in a humidified atmosphere at 5% CO2 at 37° for the indicated time period. RNAs from unstimulated and anti-CD3/anti-CD28-stimulated cells were isolated by TRIzol LS reagent (Life Technologies, Grand Island, NY), and a second cleanup step was performed by using the Qiagen RNeasy Total RNA isolation kit (Qiagen, Valencia, CA). Intracellular proteins were isolated from the phenol–ethanol supernate with isopropyl alcohol after precipitation with ethanol, as per standard protocol.

RNA Expression by GeneChip Microarrays
Chemokine gene expression of young and old, unstimulated, and mAbs-stimulated CD4 and CD8 cells was initially screened using the AffyMetrix GeneChip microarray gene expression system (AffyMetrix, Inc., Santa Clara, CA) as before (11). To minimize individual variability, pooled RNAs from the splenic CD4+ and CD8+ lymphocytes of 15 animals were used for the experiment. Total RNA was isolated using Trizol reagent (GIBCO-BRL), followed by clean-up on a RNeasy spin column (Qiagen), then used to generate cRNA probes. Preparation of cRNA, hybridization and scanning of the mouse genome U74A. Arrays were performed according to the manufacturer's protocol (AffyMetrix). Briefly, 5 µg of total RNA was converted into double-stranded cDNA by reverse transcription using a cDNA synthesis kit (Superscript Choice System, GIBCO-BRL) with an oligo(dT)24 primer containing a T7 RNA polymerase promoter site added 3' of the poly T (Genset, La Jolla, CA). Following second-strand synthesis, labeled cRNA was generated from the cDNA sample by an in vitro transcription reaction supplemented with biotin-11-CTP and biotin-16-UTP (Enzo, Farmingdale, NY). The labeled cRNA was purified by using RNeasy spin columns (Qiagen). Next, 15 µg of each cRNA was fragmented at 94°C for 35 minutes in fragmentation buffer (40 mM Tris-acetate (pH 8.1), 100 mM potassium acetate, 30 mM magnesium acetate) and then used to prepare 300 µl of hybridization cocktail (100 mM MES, 1 M NaCl, 20 mM EDTA, 0.01% Tween 20) containing 0.1 mg/ml of herring sperm DNA (Promega, Madison, WI), 500 µg/ml acetylated BSA (GIBCO-BRL), and a mixture of control cRNAs for comparison of hybridization efficiency between arrays and for relative quantitation of measured transcript levels. Prior to hybridization, the cocktails were heated to 94°C for 5 minutes, equilibrated at 45°C for 5 minutes, then clarified by centrifugation (16,000 x g) at room temperature for 5 minutes. Aliquots of each sample (10 µg of fragmented cRNA in 200 µl of hybridization cocktail) were hybridized to the mouse genome U74A arrays at 45°C for 16 hours in a rotisserie oven set at 60 rpm. The arrays were then washed with nonstringent wash buffer (6X SSPE) at 25°C, followed by stringent wash buffer (100 mM MES [pH 6.7], 0.1 M NaCl, 0.01% Tween 20) at 50°C, stained with streptavidin-phycoerythrin (Molecular Probes), washed again with 6X SSPE, stained with biotinylated antistreptavidin IgG, followed by a second staining with streptavidin-phycoerythrin, and a third washing with 6X SSPE. The arrays were scanned using the GeneArray scanner (AffyMetrix). Data analysis was performed using GeneChip 4.0 software. The U74A chips contain approximately 12,000 probe sets, with each probe set representing a transcript. Each probe set typically consists of 20 perfectly complementary 25 base long probes as well as 20 mismatch probes that are identical except for an altered central base. We subtract the mismatch probe values from the perfect match values and average the middle 50% of these differences as the expression measure for that probe set. A quantile normalization procedure was used to adjust for differences in the probe intensity distribution across different chips. We then applied a monotone linear spline to each chip that mapped quantiles 0.02 up to 0.98 (in increments of 0.02) exactly to the corresponding median quantiles for all the samples. Then, the transform log(100 + max[X + 100; 0]) was applied to the data from each chip. The chemokine results were then calculated as changes relative to the expression levels of unstimulated young CD4+ and CD8+ lymphocytes.

RNA Protection Assays
Changes in T-cell chemokine expression were confirmed by ribonuclease protection assays (PRAs). Pooled RNAs from equal number of purified CD4 and CD8 T cells from young and old mice in groups of 4–6 animals were used to minimize individual variability. The probes were synthesized by modification of the manufacturer's protocol. Briefly, GACU nucleotide pool and [{alpha}-32P]UTP, RNasin, T7 RNA polymerase were added to the multiprobe template set mCK-5 (Ltn, RANTES [regulated upon activation, normal T-cell expressed and secreted], Eotaxin, MIP-1ß; [macrophage inflammatory protein], MIP-1{alpha}, MIP-2, IP-10 [interferon-{gamma}-inducible protein 10], MCP-1 [monocyte chemoattractant protein], TCA-3 [T-cell activation gene-3]) (BD PharMingen, San Diego, CA) and placed on a heat block at 37° for 1 hour. Although changes in other chemokines were found in the microarray experiments, the 9 chemokines were chosen because their probes were available commercially. The reaction was terminated by adding DNase, and the samples incubated at 37°C on a heat block for 30 minutes. Appropriate volumes of EDTA, Tris-saturated phenol, chloroform:isoamyl alcohol (CIAA) (50:1), and yeast tRNA were then added to the mixture, as suggested by the manufacturer. The aqueous layer was extracted by CIAA, then pelleted by adding a 1:5, 4 M ammonium acetate and ice-cold 100% ethanol mixture. Next, 5 µg of total RNA from each T-cell sample was used for hybridization. The protected probes were then allowed to be resolved by electrophoresis using a 5% acrylamide gel, exposed to a phosphor screen, and quantified by a Phosphorimager using Image Quant software (Molecular Dynamics).

Chemokine Enzyme-Linked Immunosorbent Assays
Changes in RNA expression may not correlate to alteration of protein level due to aging-associated differences in post-transcriptional regulation. Quantitation of MIP-1{alpha} and MIP-1ß and RANTES protein levels in the supernatant of cultured (at 24 and 48 hours) young and old CD4 and CD8 T cells were therefore measured using commercially available enzyme-linked immunosorbent assay (ELISA) kits (R&D Systems, Minneapolis, MN), according to the manufacturer's instructions.

In Vitro Chemotaxis Assay
Dual-chamber chemotactic assays were performed to compare the transmigration response of splenic lymphocytes from 8-week-old C57Bl/6 mice to supernatants from young and old T cells. Briefly, freshly isolated 4 x 105 splenocytes in 100 µl RPMI 1640 medium supplemented with 0.5% BSA were placed in Transwell Clear culture inserts with 5 µm pores (Corning-Costar, Cambridge, MA). The inserts were then placed in 24-well tissue culture plate (Corning-Costar) containing 600 µl of supernatants from young and old CD4+ T cells for 5 hours in a humidified incubator at 37°C. Cells from the top and bottom chambers were then harvested and counted with a Beckman Coulter counter as before (11).

Statistical Analysis
The difference between means was tested using Student's two-tailed t test whenever applicable.


    RESULTS
 Top
 Abstract
 Methods
 Results
 Discussion
 References
 
Screening of Chemokine Expression by Microarray
Chemokine gene expression of CD4 and CD8 T cells from young and old animals was initially screened by using microarray. Significant difference is arbitrarily set as changes greater than or equal to twofold as before (11). The results (Figure 1A) showed significant increased expression of selected chemokines including Ltn, RANTES, and MIP-1ß, and a smaller increased in MIP-1{alpha} in freshly isolated old compared with young CD4 T cells. Old CD8 cells also have a greater than or equal to twofold increased expression of MIP-1{alpha}, MIP-1ß, and MIP-2 and a smaller increase in Ltn, RANTES, IP-10, and TCA-3 (Figure 1B). SDF-2 expression was similar in young and old T cells. Relative expression of selected chemokines of old and young (= 1) CD4 (Figure 1C) and CD8 (Figure 1D) cells are also shown. Although a number of other chemokines were screened (MCP-1, MCP-2, MCP-3, TCA4, SDF-1, SDF-4, fractalkine) their low level of expression (below the background fluorescence) was considered to be beyond the sensitivity of the assay. Anti-CD3/anti-CD28 stimulation resulted in significant (>= twofold) increased expression of MIP-1{alpha}, MIP-1ß, and TCA-3, and decreased expression of RANTES, IP-10, and MIP-2 in both CD4 and CD8 cells. Anti-CD3/anti-CD28 stimulation causes increased Ltn expression in both young (9.4-fold) and old (12.9-fold) CD8 cells but has little effect on CD4 cells.



View larger version (44K):
[in this window]
[in a new window]
 
Figure 1. The effects of aging on CD4 and CD8 T-cell chemokine expression by microarray. Microarray analyses were done on pooled RNAs of freshly isolated unstimulated (0 hr) and anti-CD3/CD28-stimulated (72 hr) splenic CD4+ cells from 15 young (3–4 months) and 15 old (20–22 months) C57Bl/6 mice. Hierarchical clustering of chemokine genes and selected controls comparing young and old CD4+ (A) and CD8+ (B) T cells. The shading of each cell represents the fold change above and below the reference samples. Expression of selected chemokines in freshly isolated (unstimulated) old versus young (= 1) CD4+ (C) and CD8+ (D) T cells are also shown. RANTES = regulated upon activation, normal T cell expressed and secreted; MIP = macrophage inflammatory protein; IP = interferon-{gamma}-inducible protein

 
Chemokine Expression by Ribonuclease Protection Assays
Although multiple genes can be screened by the microarray approach, it is possible that some of the observed changes may represent chance occurrences because of the large number of genes examined. The aging-associated changes in chemokine gene expression were therefore confirmed by ribonuclease protection assays using the mCK-5 probe set. The results confirm that freshly isolated unstimulated CD4+ (Figure 2) and CD8+ (Figure 3) cells from aged mice have increased IP-10, MIP-1{alpha}, MIP-1ß, RANTES, and Ltn expression compared with their respective cohorts from young mice. Similar to the microarray data, maximum stimulation with anti-CD3 and anti-CD28 mAbs increases the expression of MIP-1{alpha} and MIP-1ß and decreases the expression of IP-10 and RANTES in both CD4+ and CD8+ cells. TCR/coreceptor stimulation also has a much greater effect in enhancing the expression of Ltn in CD8+ compared to CD4+ T cells. In contrast, the same stimulation protocol results in a more significant down-regulation of IP-10 in CD4+ compared to CD8+ T cells.



View larger version (40K):
[in this window]
[in a new window]
 
Figure 2. Effect of aging on CD4+ T-cell chemokine expression as measured by ribonuclease protection assays (RPAs). Chemokine gene expression of pooled CD4+ cells from unstimulated (0 hr) and anti-CD3/CD28 stimulated (24, 48, and 72 hr) young (3–4 months), middle-aged (12–14 months), and old (20–22 months) C57BL/6 mice were measured using the mCK-5 probe set. An autoradiograph of representative RPAs and histograms shows the effect of aging and anti-CD3/anti-CD28 stimulation on CD4+ T cells. The expression levels of eotaxin, MIP-2 (macrophage inflammatory protein-2), MCP-1 (monocyte chemotactic protein-1), and T-cell activation gene-3 (TCA-3) are considered too low for reliable quantitation and are therefore excluded from analysis. Lanes 1 are unstimulated young T cells. Lanes 2 are old unstimulated T cells. Lanes 3 are anti-CD3/anti-CD28-stimulated (72 hr) young T cells. Lanes 4 are anti-CD3/anti-CD28-stimulated (72 hr) old T cells. The results represent mean ± SEM (standard error of mean) of 4 independent experiments, and each experiment has 4–6 mice in each age group. Gel-loading is corrected with glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and L32 expression. *p <.05; the difference between means of young and old was compared using Student's t test. RANTES = regulated upon activation, normal T cell expressed and secreted; IP = interferon-{gamma}-inducible protein

 


View larger version (39K):
[in this window]
[in a new window]
 
Figure 3. Effect of aging on CD8+ T-cell chemokine expression as measured by ribonuclease protection assays. Chemokine gene expression of pooled CD8+ cells from unstimulated (0 hr) and anti-CD3/CD28-stimulated (24, 48, and 72 hr) young (3–4 months), middle-aged (12–14 months), and old (20–22 months) C57BL/6 mice were measured using the mCK-5 probe set. Lanes 1 are unstimulated young T cells. Lanes 2 are old unstimulated T cells. Lanes 3 are anti-CD3/anti-CD28-stimulated (72 hr) young T cells. Lanes 4 are anti-CD3/anti-CD28-stimulated (72 hr) old T cells. The results represent mean ± SEM (standard error of measurement) of 4 independent experiments, and each experiment has 4–6 mice in each age group. Gel-loading is corrected with glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and L32 expression. *p <.05; the difference between means of young and old was compared using Student's t test. RANTES = regulated upon activation, normal T cell expressed and secreted; MIP = macrophage inflammatory protein; IP = interferon-{gamma}-inducible protein; TCA = T-cell activation gene-3; MCP = monocyte chemotactic protein

 
Chemokine ELISAs
We next determined if the change in chemokine gene expression resulted in altered protein production. RANTES, MIP-1{alpha}, and MIP-1ß protein levels were assayed in the culture supernatants generated from the anti-CD3/CD-28-stimulated (24 and 48 hr) CD4+ and CD8+ young and old T cells. The results confirmed the gene expression results that showed increased RANTES, MIP-1{alpha}, and ß gene expression by CD4+ and CD8+ T cells from aged compared with young animals (Figure 4).



View larger version (22K):
[in this window]
[in a new window]
 
Figure 4. Chemokine protein production by enzyme-linked immunosorbent assays (ELISAs). The concentrations of MIP-1{alpha}, MIP-1ß, and RANTES in the supernatants of young and old, CD4+ and CD8+ T cells 24 and 48 hours after anti-CD3/anti-CD28 stimulation were measured by using commercial ELISA kits. The results show representative ELISA results of 2–3 independent experiments. Results are expressed as mean ± SD (standard deviation) of duplicate determinations. *p <.05. RANTES = regulated upon activation, normal T cell expressed and secreted; MIP = macrophage inflammatory protein

 
Chemotactic Assay
Dual-chamber chemotatic assays were done using freshly isolated, unstimulated splenocytes from 8-week-old C57Bl/6 mice and supernatant from anti-CD3/anti-CD28-stimulated (24 and 48 hr) CD4 young and old T cells to determine if the observed aged-associated increase in chemokine expression had functional consequence. The results showed that supernatants from aged mice had a significantly greater chemotactic response than that elicited from young mice (Figure 5), confirming that the increased chemokine protein production in aged T cells have an important functional consequence.



View larger version (14K):
[in this window]
[in a new window]
 
Figure 5. Dual-chamber chemotactic assay. The chemotactic response of C57Bl/6 mice splenocytes to supernatants from 24-hour and 48-hour cultures of CD4 T cells of young and old C57BL/6 mice was compared. Increased chemotaxis is seen at 24 and 48 hours. Results are expressed as mean ± SD (standard deviation) of duplicate determinations. *p <.05

 

    DISCUSSION
 Top
 Abstract
 Methods
 Results
 Discussion
 References
 
The basis for the aging-associated increase in disease susceptibility is incompletely understood. Immunosenescence has been put forward as a possible explanation for the increased incidence and poor disease outcome in elderly persons. In particular, changes in the T-cell compartment have been studied in great detail and are believed to play a crucial role in explaining the alteration in immune function with age (10). The shift from naïve to memory T-cell phenotype, presumably due to chronic antigen stimulation over time, may account for many functional changes in T cells. In contrast, inconsistent reports of small decline in the number of T-cell subsets are unlikely to have important clinical relevance. Furthermore, attempts to directly correlate currently known age-related changes in immunity with disease susceptibility or outcome in elderly people have been largely unsuccessful.

Despite the growing understanding of the importance of the chemokine system in immunobiology, there remains relatively little information on the consequence of aging in this system. Selected murine studies have provided evidence that aging may affect chemokine expression levels. For example, GRO/CINC-1 (interleukin-8 [IL-8]-like chemokine) gene expression and production are increased in the nasal mucosa of old (~18 months) compared with young rats (12). A similar increase in selected chemokine expression has been demonstrated in the brain of aged rodents (13). However, the effect of aging on murine immune cell chemokine expression and function is unknown.

In the present study, we provide the first comprehensive determination of the effect of aging on chemokine gene expression in CD4 and CD8 T cells of C57Bl/6 mice using microarray gene scanning and ribonuclease protection assays. C57Bl/6 mice were chosen because this mouse strain has already been used extensively as an animal model to study human aging. We demonstrated that aging is associated with the increased mRNA expression of IP-10, MIP-1{alpha}, MIP-1ß, RANTES, and Ltn in both CD4+ and CD8+ lymphocytes. This correlates to increased chemokine protein (MIP-1{alpha}, MIP-1ß, RANTES) secretion and chemotaxis response. A number of studies have found that T cells from aged hosts have diminished response to mitogens and to anti-CD3 stimulation (14–18). However, others have also reported that this age-associated defect in T-cell activation can be rescued by concomitant CD28 signaling (19–21). We therefore examined the effect of maximal TCR-coreceptor stimulation on T-cell chemokine expression in young and old T cells. Our results demonstrated that the combined maximal anti-CD3 and anti-CD28 antibody treatments up-regulate MIP-1{alpha}, MIP-1ß, and Ltn, and down-regulates IP-10 and RANTES expression in both CD4 and CD8 T cells. Interestingly, TCR/coreceptor stimulation induced a much more robust Ltn response in CD8+ than CD4+ T cells. This is consistent with another report showing that CD3/CD28 costimulation leads to the suboptimal Ltn response in CD4+, but not CD8+, T cells via an IL-2-dependent mechanism (22). It has been postulated that Ltn may act as a selective negative regulator of CD4+, but not CD8+, T cell activation (23). Overall, our data suggest that old T cells have at least as robust a chemokine response to TCR/coreceptor stimulation as that seen in young cells.

The mechanism for the observed enhanced chemokine response in aging is unclear. Th1 and Th2 cells are known to preferentially express specific chemokines (1–3). However, whether aging is associated with a shift from Th1 to Th2 cytokine profile is controversial (10). Parallel increases in inflammatory cytokine responses in both human and murine aging have been documented by our group and others (11,24–28). In earlier studies (11) using the same T cells used in the microarray experiment, we showed that old CD4+ T cells had selected increased proinflammatory cytokines including interferon gamma at both the RNA and protein levels. Changes in cytokine response in aging are accompanied by the accumulation of a memory T-cell subset that exhibits aberrant early signaling events (29–31). This has led to the suggestion that the accumulation of dysfunctional memory T cells may play an important role in the altered cytokine production in aging (32–34). Whether similar mechanisms underlie the current observation of increased CD4 and CD8 T-cell chemokine responses in aging is unknown. A recent study examined chemokine production by T cells from C57Bl/6 mice and showed that RANTES, MIP-1ß, and Ltn mRNAs were primarily expressed in memory T cells (35). This was consistent with other earlier reports (36–38). Thus, our observed differences in T-cell chemokine expression may at least be partly related to the accumulation of memory T cells in aging. Freshly isolated memory T cells contain high levels of RANTES mRNA. However, unlike other ß-chemokines (e.g., MIP-1{alpha} and MIP-1ß), RANTES protein secretion is regulated at the post-transcriptional level independent of mRNA transcription, most likely through inhibition of the translation of cytoplasmic RANTES mRNA (35). Engagement of TCR releases the RNATES mRNA from this translational silencing. This may provide an explanation for our results that showed decreased RANTES mRNA expression but increased RANTES protein secretion following TCR stimulation in both young and old T cells.

Consistent with our data, a number of studies have documented increased serum and T-cell production of selected chemokines in human aging. Serum levels of IL-8 (36) and MCP-1 (37) are increased in elderly humans. Others have shown age-related increased production of unfractionated peripheral blood cell IL-8, MCP-1, MIP-1{alpha}, and RANTES with or without stimulation with anti-CD3 mAb and lipopolysaccharide (LPS) (38). Mariani and colleagues (39) recently examined the RANTES and MIP-1{alpha} response in nonagenarians and found increased T-cell and monocyte RANTES and MIP-1{alpha} production. Others also demonstrated increased serum MCP-1 in healthy elderly people and RANTES in centenarians (40). "Inflammatory chemokines" such as MIP-1{alpha}, MIP-1ß, and RANTES are produced by T cells typically in response to infection and to recruit effector cells to sites where pathogens are present (41). The increased chemokine response seen in murine and human T cells in aging suggest that changes in the chemokine system are not responsible for the worse infection outcome in elderly people. However, it is also clear that excessive proinflammatory chemokine responses may be harmful to the hosts, such as during overwhelming infection and septic shock (42–44). Furthermore, an aging-associated increased chemokine response may also contribute to increased incidence or severity of other T-cell chemokine-dependent diseases in elderly persons. For example, T cells accumulate early in atheroma formation and persist at sites of lesion growth and rupture. T-cell-activating chemokines have been shown to be produced by atheroma-associated endothelial cells, smooth muscle cells, and macrophages, and are believed to play an important role in both early and late plaque formation in both human and murine genetic models of atherosclerosis (45–48). Another example is rheumatoid arthritis. The prevalence of this disease increases with age, and is most common in the most elderly group studied (49,50). The incidence of rheumatoid arthritis also increases with age, with the peak incidence occurring in the seventh and eighth decades (51). Interestingly, older-onset rheumatoid arthritis is also a distinctly different disorder from younger-onset rheumatoid arthritis, with a more abrupt onset of disease ("infectious-like") (52). The effect of age on experimental arthritis has not been examined extensively, with reports of increased (53) and reduced (54) joint inflammation in aged rodents. Currently known age-related "decline" in immune or hormonal function cannot account for the observed aging-related increased incidence and immune/inflammatory response in this disease. A central role of leukocyte chemokine response in the recruitment and retention of leukocytes in the rheumatoid joint has recently been established (55,56). Taken together, it is tempting to postulate that the age-associated increase in chemokine response may contribute to the increased susceptibility and altered clinical course of these diseases in elderly people.

Summary
We have provided the first comprehensive look at the effect of aging on T-cell chemokine receptor expression in a murine model of human aging. We propose that an increased chemokine response may play a role in T-cell chemokine-dependent diseases in aging.


    Acknowledgments
 
Drs. J. Chen and R. Mo contributed equally to this work. Dr. M. Hobbs is published posthumously.

This work was supported by PHS grants 1K08AR01977-01A1, 1RO1 AI42753, and 1RO1 HL61577, the American Federation for Aging Research (Paul Beeson Physician Faculty Scholar Award), the University of Michigan Nathan Shock Center (AG13282), and the Geriatrics Research, Education, and Clinical Center of the Ann Arbor VA Medical Center.

Address correspondence to Raymond L. Yung, MD, Room 5312 CCGCB, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0940. E-mail: ryung{at}umich.edu


    Footnotes
 
Decision Editor: James R. Smith, PhD

Received May 30, 2003

Accepted July 7, 2003


    References
 Top
 Abstract
 Methods
 Results
 Discussion
 References
 

  1. Baggiolini M. Chemokines and leukocyte traffic. Nature.. 1995;392:565-568.
  2. Yoshie O, Imai T, Nomiyama H. Chemokines in immunity. Adv Immunol.. 2001;78:57-110.[Medline]
  3. Gerard C, Rollins BL. Chemokines and disease. Nature Immunol.. 2001;2:108-115.[Medline]
  4. Bodolay E, Koch, AE, Kim J, Szegedi G, Szekanecz Z. Angiogenesis and chemokines in rheumatoid arthritis and other systemic inflammatory rheumatic diseases. J Cell Mol Med.. 2002;6:357-376.[Medline]
  5. Mach F. The role of chemokines in atherosclerosis. Curr Atheroscler Rep.. 2001;3:243-251.[Medline]
  6. Reape TJ, Groot PHE. Chemokines and atherosclerosis. Atherosclerosis.. 1999;147:213-225.[Medline]
  7. Moore JP, Stevenson M. New targets for inhibitors of HIV-1 replication. Nat Rev.. 2000;1:40-49.
  8. Bleul CC, Farzan M, Choe H, et al. The lymphocyte chemoattractant SDF-1 is a ligand for LESTR/fusin and blocks HIV-1 entry. Nature.. 1996;382:829-833.[Medline]
  9. Doranz BJ, Rucker J, Yi Y, et al. A dual-tropic primary HIV-1 isolate that uses fusin and the beta-chemokine receptors CKR-5, CKR-3, and CKR-2b as fusion cofactors. Cell.. 1996;85:1149-1158.[Medline]
  10. Yung RL. Changes in immune function with age. Rheum Dis Clin N Am.. 2000;26:455-474.[Medline]
  11. Mo R, Chen J, Han Y, et al. T cell chemokine receptor expression in aging. J Immunol.. 2003;170:895-904.[Abstract/Free Full Text]
  12. Himi T, Yoshioka I, Katura A. Influence of age on the production of interleukin-8-like chemokine (GRO/CINC-1) in rat nasal mucosa. Eur Arch Oto-Rhino-Laryngol.. 1997;254:101-104.[Medline]
  13. Felzien LK, McDonald JT, Gleason SM, Berman NE, Klein RM. Increased chemokine gene expression during aging in the murine brain. Brain Res.. 2001;890:137-146.[Medline]
  14. Miller RA, Jacobson B, Weil G, Simons ER. Diminished calcium influx in lectin-stimulated T cells from old mice. J Cell Physiol.. 1987;132:337-342.[Medline]
  15. Proust JJ, Filburn CR, Harrison SA, Buchholz MA, Nordin AA. Age-related defect in signal transduction during lectin activation of murine T lymphocytes. J Immunol.. 1987;139:1472-1478.[Abstract]
  16. Grossmann A, Rabinovitch PS, Kavanagh TJ, et al. Activation of murine T-cells via phospholipase-C gamma 1-associated protein tyrosine phosphorylation is reduced with aging. J Gerontol Biol Sci.. 1995;50A:B205-B212.[Abstract]
  17. Shi J, Miller RA. Differential tyrosine-specific protein phosphorylation in response to anti-CD3 antibody is diminished in old mice. J Gerontol Biol Sci Med Sci.. 1992;47A:B147-B153.
  18. Saini A, Sei Y. Age-related impairment of early and late events of signal transduction in mouse immune cells. Life Sci.. 1993;52:1759-1765.[Medline]
  19. Beckman I., Dimopoulos K, Xu XN, Ahern M, Bradley J. Age-related changes in the activation requirements of human CD4+ T-cell subsets. Cell Immunol.. 1991;132:17-25.[Medline]
  20. Vidan MT, Fernandez-Gutierrez B, Hernandez-Garcia C, et al. Functional integrity of the CD28 co-stimulatory pathway in T lymphocytes from elderly subjects. Age Ageing.. 1999;28:221-227.[Abstract/Free Full Text]
  21. Kirk CJ, Freilich AM, Miller RA. Age-related decline in activation of JNK by TCR- and CD28-mediated signals in murine T lymphocytes. Cell Immunol.. 1999;197:75-82.[Medline]
  22. Olive D, Cerdan C. CD28 co-stimulation results in down-regulation of lymphotactin expression in human CD4+ but not CD8+ T cells via an IL-2-dependent mechanism. Eur J Immunol.. 1999;29:2443-2453.[Medline]
  23. Cerdan C, Serfling E, Olive D. The C-class chemokine, lymphotactin, impairs the induction of Th1-type lymphokines in human CD4(+) T cells. Blood.. 2000;96:420-428.[Abstract/Free Full Text]
  24. Ernst DN, Weigle WO, Noonan DJ, McQuitty DN, Hobbs MV. The age-associated increased in IFN-g synthesis by mouse CD8+ T cells correlates with shifts in the frequencies of cell subsets defined by membrane CD44, CD45RB, 3G11, and MEL-14 expression. J Immunol.. 1993;151:575-587.[Abstract]
  25. Hobbs MV, Weigle WO, Noonan DJ, et al. Patterns of cytokine gene expression by CD4+ T cells from young and old mice. J Immunol.. 1993;150:3602-3614.[Abstract]
  26. Wei J, Xu H, Davies JL, Hemmings GP. Increase of plasma IL-6 concentration with age in healthy subjects. Life Sci.. 1992;51:1953-1956.[Medline]
  27. Daynes RA, Araneo BA, Ershler WB, Maloney C, Li GZ, Ryu SY. Altered regulation of IL-6 production with normal aging. Possible linkage to the age-associated decline in dehydroepiandrosterone and its sulfated derivative. J Immunol.. 1993;150:5219-5230.[Abstract]
  28. Foster KD, Conn CA, Kluger MJ. Fever, tumor necrosis factor, and interleukin-6 in young, mature, and aged Fischer 344 rats. Am J Physiol.. 1992;262:R211-R215.
  29. Whisler RL, Chen M, Liu B, Newhouse YG. Age-related impairments in TCR/CD3 activation of ZAP-70 are associated with reduced tyrosine phosphorylations of zeta-chains and p59fyn/p56lck in human T cells. Mech Ageing Dev.. 1999;111:49-66.[Medline]
  30. Lerner A, Yamada T, Miller RA. Pgp-1hi T lymphocytes accumulate with age in mice and respond poorly to concanavalin A. Eur J Immunol.. 1989;19:977-982.[Medline]
  31. Shi J, Miller RA. Differential tyrosine-specific protein phosphorylation in mouse T lymphocyte subsets. Effect of age. J Immunol.. 1993;151:730-739.[Abstract]
  32. Karanfilov CI, Liu B, Fox CC, Lakshmanan RR, Whisler RL. Age-related defects in Th1 and Th2 cytokine production by human T cells can be dissociated from altered frequencies of CD45RA+ and CD45RO+ T cell subsets. Mech Ageing Dev.. 1999;109:97-112.[Medline]
  33. Miller RA. Aging and immune function. Int Rev Cytol.. 1991;124:187-215.[Medline]
  34. Hodes RJ. Molecular alterations in the aging immune system. J Exp Med.. 1995;182:1-3.[Free Full Text]
  35. Swanson BJ, Murakami M, Mitchell TC, Kappler J, Marrack P. RANTES production by memory phenotype T cells is controlled by a posttranscriptional, TCR-dependent process. Immunity.. 2002;17:605-615.[Medline]
  36. Dorner BG, Steinbach S, Huser MB, Kroczek RA, Scheffold A. Single-cell analysis of the murine chemokines MIP-1alpha, MIP-1beta, RANTES and ATAC/lymphotactin by flow cytometry. J Immunol Meth.. 2003;274:83-91.[Medline]
  37. Muller S, Dorner B, Korthauer U, et al. Cloning of ATAC, an activation-induced, chemokine-related molecule exclusively expressed in CD8+ T lymphocytes. Eur J Immunol.. 1995;25:1744-1748.[Medline]
  38. Conlon K, Lloyd A, Chattopadhyay U, et al. CD8+ and CD45RA+ human peripheral blood lymphocytes are potent sources of macrophage inflammatory protein 1 alpha, interleukin-8 and RANTES. Eur J Immunol.. 1995;25:751-756.[Medline]
  39. Mariani E, Pulsatelli L, Meneghetti A, et al. Different IL-8 production by T and NK lymphocytes in elderly subjects. Mech Ageing Dev.. 2001;122:1383-1395.[Medline]
  40. Inadera H, Egashira K, Takemoto M, Ouchi Y, Matsushima K. Increased circulating levels of monocyte chemoattractant protein-1 with aging. J Interferon Cytokine Res.. 1999;19:1179-1182.[Medline]
  41. Pulsatelli L, Meliconi R, Mazzetti I, et al. Chemokine production by peripheral blood mononuclear cells in elderly subjects. Mech Ageing Dev.. 2000;121:89-100.[Medline]
  42. Mariani E, Pulsatelli L, Neri S, et al. RANTES and MIP-1{alpha} production by T lymphocytes, monocytes and NK cells from nonagenarian subjects. Exp Gerontol.. 2002;37:219-226.[Medline]
  43. Gerli R, Monti D, Bistoni O, et al. Chemokines, sTNF-Rs and sCD30 serum levels in healthy aged people and centenarians. Mech Ageing Dev.. 2000;121:37-46.[Medline]
  44. Dorner BG, Scheffold A, Rolph MS, et al. MIP-1alpha, MIP-1beta, RANTES, and ATAC/lymphotactin function together with IFN-gamma as type 1 cytokines. Proc Natl Acad Sci U S A.. 2002;99:6181-6186.[Abstract/Free Full Text]
  45. Dinarello CA. Proinflammatory cytokines. Chest.. 2000;118:503-508.[Abstract/Free Full Text]
  46. Mitchell RA, Liao H, Chesney J, et al. Macrophage migration inhibitory factor (MIF) sustains macrophage proinflammatory function by inhibiting p53: regulatory role in the innate immune response. Proc Natl Acad Sci U S A.. 2002;99:345-350.[Abstract/Free Full Text]
  47. Cummings CJ, Martin TR, Frevert CW, et al. Expression and function of the chemokine receptors CXCR1 and CXCR2 in sepsis. J Immunol.. 1999;162:2341-2346.[Abstract/Free Full Text]
  48. Mach F, Sauty A, Iarossi AS, et al. Differential expression of three T lymphocyte-activating CXC chemokines by human atheroma-associated cells. J Clin Invest.. 1999;104:1041-1050.[Medline]
  49. Frostegard J, Ulfgren AK, Nyberg P, et al. Cytokine expression in advanced human atherosclerotic plaques: dominance of pro-inflammatory (Th1) and macrophage-stimulating cytokines. Atherosclerosis.. 1999;145:33-43.[Medline]
  50. Reape TJ, Groot PHE. Chemokines and atherosclerosis. Atherosclerosis.. 1999;147:213-225.
  51. Daugherty A, Rateri DL. T lymphocytes in atherosclerosis: the yin-yang of Th1 and Th2 influence on lesion formation. Circ Res.. 2002;90:1039-1040.[Free Full Text]
  52. Lawrence RC, Hochberg MC, Kelsey JL, et al. Estimates of the prevalence of selected arthritic and musculoskeletal diseases in the United States. J Rheumatol. 1989;16:427-441.[Medline]
  53. Linos A, Worhtington JW, O'Fallon WM, Kurland LT. The epidemiology of rheumatoid arthritis in Rochester, Minnesota: a study of incidence, prevalence, and mortality. Am J Epidemiol.. 1980;111:87-98.[Abstract/Free Full Text]
  54. Simmons DPM, Barrett EM, Bankhead CR, Scott DGI, Silman AJ. The occurrence of rheumatoid arthritis in the United Kingdom: results from the Norfolk Arthritis Register. Br J Rhematol.. 1994;33:735-739.
  55. Yazici Y, Paget SA. Elderly-onset rheumatoid arthritis. Rheum Dis Clin N Am.. 2000;26:517-526.[Medline]
  56. van Beuningen HM, van den Berg WB, Schalkwijk J, Arntz OJ, van de Putte LB. Age- and sex-related differences in antigen-induced arthritis in C57Bl/10 mice. Arthritis Rheum.. 1989;32:789-794.[Medline]
  57. Cardinali DP, Brusco LI, Garcia Bonacho M, Esquifino AI. Effect of melatonin on 24-hour rhythms of ornithine decarboxylase activity and norepinephrine and acetylcholine synthesis in submaxillary lymph nodes and spleen of young and aged rats. Neuroendocrinol.. 1998;67:349-362.[Medline]
  58. Katschke KJ, Jr, Rottman JB, Ruth JH, et al. Differential expression of chemokine receptors on peripheral blood, synovial fluid, and synovial tissue monocytes/macrophages in rheumatoid arthritis. Arthritis Rheum.. 2001;44:1022-1032.[Medline]
  59. Ruth JH, Rottman JB, Katschke KJ, et al. Selective lymphocyte chemokine receptor expression in the rheumatoid joint. Arthritis Rheum.. 2001;44:2750-2760.[Medline]




This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Services
Right arrow Download to citation manager
PubMed
Right arrow PubMed Citation


HOME ARCHIVE SEARCH TABLE OF CONTENTS