Literature DB >> 30541882

Cytomegalovirus Exposure in the Elderly Does Not Reduce CD8 T Cell Repertoire Diversity.

Paul Lindau1,2, Rithun Mukherjee3, Miriam V Gutschow2, Marissa Vignali4, Edus H Warren5,6, Stanley R Riddell5,6, Karen W Makar7, Cameron J Turtle5,6, Harlan S Robins8,4.   

Abstract

With age, the immune system becomes less effective, causing increased susceptibility to infection. Chronic CMV infection further impairs immune function and is associated with increased mortality in the elderly. CMV exposure elicits massive CD8+ T cell clonal expansions and diminishes the cytotoxic T cell response to subsequent infections, leading to the hypothesis that to maintain homeostasis, T cell clones are expelled from the repertoire, reducing T cell repertoire diversity and diminishing the ability to combat new infections. However, in humans, the impact of CMV infection on the structure and diversity of the underlying T cell repertoire remains uncharacterized. Using TCR β-chain immunosequencing, we observed that the proportion of the peripheral blood T cell repertoire composed of the most numerous 0.1% of clones is larger in the CMV seropositive and gradually increases with age. We found that the T cell repertoire in the elderly grows to accommodate CMV-driven clonal expansions while preserving its underlying diversity and clonal structure. Our observations suggest that the maintenance of large CMV-reactive T cell clones throughout life does not compromise the underlying repertoire. Alternatively, we propose that the diminished immunity in elderly individuals with CMV is due to alterations in cellular function rather than a reduction in CD8+ T cell repertoire diversity.
Copyright © 2019 The Authors.

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Year:  2018        PMID: 30541882      PMCID: PMC6321841          DOI: 10.4049/jimmunol.1800217

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


Introduction

As we age, immune function declines, a phenomenon known as immunosenescence. Large-scale changes in both the innate and adaptive immune system enhance susceptibility to infections and diminish responsiveness to vaccines, leading to increased morbidity and mortality (1–4). Many of these changes are exacerbated by pathogens that lead to chronic or persistent infections like CMV (4–7). CMV is a widely prevalent herpesvirus that establishes a lifelong latent infection; in the United States, the age-adjusted CMV seroprevalence is >50% in individuals between the ages of 6 and 49 y old (8, 9). In the elderly, high CMV Ab titers have been linked to increased mortality (10, 11), and CMV seropositivity has been shown to reduce survival in a cohort of Swedish octa- and nonagenarians (12). A study in a cohort of elderly individuals from the U.K. demonstrated that CMV seropositivity was associated with an increase in cardiovascular deaths, which decreased life expectancy in this group by nearly 4 y (13). In contrast, in exceptionally healthy older individuals in the United States, high CMV Ab titers were not indicators of physical or cognitive impairment (14). The relationship between CMV serostatus and mortality is thought to be the result of the large CMV-specific T cell response that develops postinfection and maintains the virus in a latent state. Over time, massive CMV-driven CD8+ T cell clonal expansions are thought to compound a decline in immune function (15, 16). CMV-specific memory T cells differentiate into T effector memory cells expressing CD45RA (TEMRA), which have limited proliferative potential and resistance to apoptosis (5, 17). These cells possess a late-differentiated Ag-experienced phenotype that does not undergo replicative senescence due to repeated stimulation (5, 18). The accumulation of apoptosis-resistant TEMRA clones in the CMV-seropositive elderly is believed to compromise T cell repertoire diversity (19–21). T cell repertoire diversity is defined as the number, frequency, and distribution of clones within the T cell repertoire, and its reduction has been shown to decrease the breadth of the immune response against a wide spectrum of epitopes in mice (22, 23). In the elderly CMV seropositive, the persistence of TEMRA clones is hypothesized to exacerbate competition between both the naive and memory CD8+ T cell repertoires for homeostatic survival signals, perpetuating a reduction in the diversity of each T cell subset (4, 21, 22, 24). This loss of T cell clones, combined with an age-related decline in naive T cell production and polyfunctional T cell responses against new Ags, suggests a mechanism for the increased mortality observed among the CMV-seropositive elderly (2, 21, 25–27). However, it is important to note that previous methods, including V–J tracking and spectratyping, lacked the sensitivity and specificity to interrogate the underlying naive and memory T cell repertoires in CMV (15, 22, 28–30). To gain insights into the nature of the entire CD8+ T cell repertoire in the natural setting of immune aging and chronic stimulation by CMV, we combine flow cytometry and immunosequencing of the TCR β-chain (TCRβ) as a measure of the diversity of the T cell repertoire. To characterize the effects of aging and CMV on the T cell repertoire, we surveyed millions of T cell clones from the repertoires of 543 subjects across a wide range of ages and observed that a small set of clones dominate the repertoires of CMV-seropositive individuals. When we specifically examined the CD8+ T cell repertoires of CMV-seropositive elderly, we found that the most numerous 0.1% of peripheral blood clones comprised the majority of classical Ag-experienced CD45RO+ memory T cells and CD45RA-revertant TEMRA compartments. We were able to examine in detail the impact of CMV on the structure of the underlying repertoire of these elderly individuals and failed to find evidence of compromised repertoire diversity in the presence of CMV-induced clonal expansions. Overall, our data suggests that the space occupied by CMV-specific clones grows considerably in the CMV-seropositive elderly without affecting the rest of the repertoire and that the repertoire broadens to accommodate these large clonal expansions.

Materials and Methods

Experimental cohort and study approval

For the large cohort of 543 donors, frozen PBMC samples were obtained from the Fred Hutchinson Cancer Research Center Research Cell Bank biorepository of healthy bone marrow donors. All donors used met the medical criteria set by the national marrow donor programs. These samples were previously tested for CMV serostatus (31). For the aged cohort of eight donors (≥70 y), fresh blood samples were obtained from the Fred Hutchinson Cancer Research Center Prevention Center. For both cohorts, donor protocols were approved and supervised by the Fred Hutchinson Cancer Research Center Institutional Review Board.

CMV serology

For the large cohort of donors, CMV serostatus was extracted from historical clinical records. For the eight elderly donors, serum samples were tested for the presence of CMV IgG Abs using standard clinical laboratory assays at the University of Washington Medical Center.

EBV serology

For the eight elderly donors, serum samples were tested for the presence of IgM, IgG, and nuclear Ab using standard clinical laboratory enzyme immunoassays at the University of Washington Medical Center.

Complete blood counts

For the eight elderly donors, complete blood counts as well as CD4 and CD8 T cell counts were performed by the clinical laboratory at the University of Washington Medical Center using standardized assays developed by the Department of Laboratory Medicine.

Cell sorting

For the eight elderly donors, PBMCs were isolated from fresh blood samples using density gradient centrifugation with Ficoll (GE Healthcare). CD3+ T cells were enriched from PBMCs by immunomagnetic selection using CD3 MicroBeads (Miltenyi Biotec, Auburn, CA). Cells were stained in the dark for 15 min with the following anti-human Abs: CD45RO PE-Cy7 (BD Biosciences, San Jose, CA), CD3 Alexa Fluor 700 (BD Biosciences), CD62L-PE (BD Biosciences), CD45RA-allophycocyanin (BD Biosciences), CD8-Pacific Blue (BD Biosciences), CD4 allophycocyanin-Cy7 (BD Biosciences), and LIVE/DEAD Aqua fluorescent reactive dye (Invitrogen, Grand Island, NY). CD8+ T cell subsets were isolated using the BD FACSAria cell-sorting system (BD Biosciences), including CD8+CD45RA−CD45RO+ (for CD8+ memory), CD8+CD45RA+CD45RO−CD62Lhi (CD8+ naive), and CD8+CD45RA+CD62Llo/− (CD8+ TEMRA). FlowJo (TreeStar, Ashland, OR) analysis was used to determine the proportions of the different subsets as a fraction of total CD8+ T cells.

Immunosequencing

For the large cohort, genomic DNA was extracted from PBMC samples using the QIAGEN DNeasy Blood Extraction kit (QIAGEN). An average of 2.5 μg of input DNA was used for sequencing each sample. For the aged cohort, total genomic DNA was extracted from sorted T cells using the QIAamp DNA Blood Mini Kit (QIAGEN). DNA could not be isolated from the CD4+ T cell sample from study subject four. At least 3.2 μg of input DNA was used for sequencing each population. For all samples, the CDR3 region of the rearranged TCRβ locus was amplified, sequenced, and processed using the immunoSEQ Assay (Adaptive Biotechnologies, Seattle, WA) (32–37).

CMV stimulation

RV798 CMV-infected fibroblasts (38) from subjects four and five were used to stimulate autologous sort-purified CD8+CD45RA−CD45RO+ memory and CD8+CD45RA+CD62Llo/− TEMRA cells for 24 h. CMV-reactive T cells from each stimulated CD8+ T cell subset were sorted as CD8+CD137+ events (39). Memory and TEMRA CD8+ T cells stimulated with uninfected fibroblasts were used as a negative control for CD137 expression. After stimulation, genomic DNA was extracted from sorted CD137+ memory and TEMRA samples using the QIAamp DNA Blood Mini Kit (QIAGEN) and sequenced using the immunoSEQ Assay (Adaptive Biotechnologies).

Repertoire diversity and clonality metrics

The Shannon entropy or diversity (H) is an index that combines measurements of species richness and abundance. For a sample with richness S and clone-wise population fractions given by x1, x2, …, x, the Shannon diversity is defined the entropy of the clone-wise abundance distribution. The Shannon entropy favors neither rare nor dominant clones disproportionately because each clone is weighted by its frequency in the sample. Clonality describes the degree to which expanded clones dominate the repertoire. The Shannon equitability (E) is defined as E = H/Ho, where Ho is the maximum entropy and Ho = log N. Clonality is defined as (1 – E) with larger values indicating more oligoclonal repertoires.

Statistics

Nonparametric statistical tests were used throughout. Statistical tests were performed in R (http://www.R-project.org/). For multiple comparisons, Dunn z test approximation to a rank-sum test was used with the Benjamini–Hochberg method to control for multiple hypotheses (dunn.test package in R). For pairwise comparisons between the CMV-seropositive and -seronegative study subjects, a two-tailed Wilcoxon–Mann–Whitney rank-sum test was used (wilcox.test function in R). Spearman correlation coefficient was used for all correlations (cor.test function in R).

Results

Large clones compose a significant portion of the CMV-seropositive T cell repertoire

To determine the impact of large T cell clones on the peripheral blood T cell repertoire, we examined the repertoires of 543 CMV-seropositive (CMV+) and CMV-seronegative (CMV−) subjects from a previous study (31) (see ). For each sample, large clones were defined as the most numerous 0.1% of clones (∼200 clones) in the peripheral blood T cell repertoire. Consistent with previous studies showing that CMV exposure induces massive T cell clonal expansions (40, 41), we found that the cumulative abundance of these large clones composed a significant proportion of the T cell repertoire in CMV+ compared with CMV− individuals (p < 0.0005) in each age group (Fig. 1). Next, we investigated whether the cumulative abundance of the most numerous 0.1% of clones composed a greater proportion of the T cell repertoire with increasing age in either the CMV+ or CMV−. Except for comparisons to the youngest age group (significance threshold p < 0.02), we did not observe a significant age-related increase in the proportion of the peripheral blood T cell repertoire composed of these large clones. However, we did observe a weak but significant correlation in both the CMV+ (0.252, p = 4.2 × 10−5) and CMV− (0.293, p = 2.8 × 10−7) between age and the proportion of the T cell repertoire composed of the most numerous 0.1% of clones. After early adulthood, the gradual age-related increase in the proportion of the repertoire composed of the largest clones in the CMV+ suggests that CMV-specific T cell clones stabilize with age.
FIGURE 1.

Impact of CMV on the proportion of large clones with age. Boxplot comparing the proportion of the most numerous 0.1% of clones in the peripheral blood T cell repertoire of CMV+ (blue) and CMV− (orange) subjects. TCRβ sequencing was performed on the PBMCs of each subject. For each subject, the cumulative abundance of the most numerous 0.1% of clones was divided by the total sample abundance to yield a proportion. Nonproductive TCRβ rearrangements were excluded from this calculation. The band inside each box represents the median, and the whiskers extend to values that are within 1.5 times the interquartile range. Outliers are represented by dots. The N beneath each box represents the number of samples in each group. *p < 0.0005, **p < 0.0001.

Impact of CMV on the proportion of large clones with age. Boxplot comparing the proportion of the most numerous 0.1% of clones in the peripheral blood T cell repertoire of CMV+ (blue) and CMV− (orange) subjects. TCRβ sequencing was performed on the PBMCs of each subject. For each subject, the cumulative abundance of the most numerous 0.1% of clones was divided by the total sample abundance to yield a proportion. Nonproductive TCRβ rearrangements were excluded from this calculation. The band inside each box represents the median, and the whiskers extend to values that are within 1.5 times the interquartile range. Outliers are represented by dots. The N beneath each box represents the number of samples in each group. *p < 0.0005, **p < 0.0001.

Large clones dominate the memory repertoires of the elderly

To further investigate the effect of large T cell clones on the T cell repertoire of the elderly, we recruited five CMV+ and three CMV− subjects between the ages of 70 and 74 (Supplemental Table I). We then isolated PBMCs as well CD4+, CD8+ naive, CD8+ memory, and CD8+ TEMRA T cell subsets and examined the rearranged TCRβ DNA sequences in these samples (see ). As with the larger cohort, we observed that the cumulative abundance of the most numerous 0.1% of clones composed a larger proportion of the peripheral blood T cell repertoire in CMV+ subjects (p = 0.03) (Supplemental Fig. 1). We then analyzed the different T cell subsets to determine the lineage of the most numerous 0.1% of peripheral blood T cell clones. To minimize the effect of contamination during sorting, we bioinformatically removed from the naive repertoire the most numerous 0.1% of peripheral blood T cell clones that were also present in memory and TEMRA samples from the same subject. Between 63 and 115 clones were removed from the naive repertoire of the different subjects. Unexpectedly, the fraction of the naive repertoire composed of these clones did not correlate with the purity of the sort (Supplemental Fig. 2). This observation could also be accounted for by our use of CD62L as opposed to CCR7 to divide the T cell subsets; however, CD62L was chosen because CMV-reactive clones are mostly CD62L− (42), and CD62L and CCR7 are generally coexpressed (43). Therefore, it is likely that a combination of the sort criteria and the sort purity account for the presence of large peripheral blood T cell clones in naive T cell samples. Nevertheless, we found that the vast majority of the most numerous 0.1% of peripheral blood T cell clones resided in the CD8+ memory and CD8+ TEMRA repertoires (significance threshold p < 0.01) (Fig. 2A). When we calculated the cumulative abundance of the most numerous 0.1% of peripheral blood T cell clones in each T cell subset, we observed that these large clones constituted a greater proportion of the memory repertoire in CMV+ compared with CMV− individuals (p = 0.03) (Fig. 2B). We also observed that a significant proportion of the naive T cell repertoire was composed of the most numerous 0.1% of peripheral blood T cell clones in the CMV− compared with the CMV+ (p = 0.03), which is likely related to an increase in the homeostatic expansion of naive T cell clones in study subjects without CMV (44). The cumulative abundance of the most numerous 0.1% of peripheral blood T cell clones in the TEMRA repertoires were not significantly different between the CMV+ compared with CMV− despite the fact that in four of five CMV+ subjects these large clones composed >80% of the TEMRA repertoire.
FIGURE 2.

Distribution of large peripheral blood T cell clones in the elderly. (A) Scatterplot comparing the fraction of the most numerous 0.1% of peripheral blood T cell clones present in each sorted T cell subset in CMV+ (blue) and CMV− (orange) subjects. TCRβ sequencing was performed on the PBMCs and specified T cell subsets of eight subjects >70 y old. Nonproductive TCRβ rearrangements were excluded from these analyses. The fraction of the most numerous 0.1% of peripheral blood T cell clones present in each T cell subset is depicted. (B) The proportion of each sorted T cell subset composed of the most numerous 0.1% of peripheral blood T cell clones in CMV+ and CMV− subjects. The cumulative abundance of the most numerous 0.1% of peripheral blood T cell clones present in each T cell subset were divided by the total abundance of each subset to yield a proportion. The most numerous 0.1% of peripheral blood T cell clones found in both naive and memory or TEMRA subsets were bioinformatically removed from the naive repertoire. *p < 0.05. CD4, Bulk CD4+ T cells; CD8 Memory, CD8+ central and effector memory T cells; CD8 Naive, CD8+ naive T cells.

Distribution of large peripheral blood T cell clones in the elderly. (A) Scatterplot comparing the fraction of the most numerous 0.1% of peripheral blood T cell clones present in each sorted T cell subset in CMV+ (blue) and CMV− (orange) subjects. TCRβ sequencing was performed on the PBMCs and specified T cell subsets of eight subjects >70 y old. Nonproductive TCRβ rearrangements were excluded from these analyses. The fraction of the most numerous 0.1% of peripheral blood T cell clones present in each T cell subset is depicted. (B) The proportion of each sorted T cell subset composed of the most numerous 0.1% of peripheral blood T cell clones in CMV+ and CMV− subjects. The cumulative abundance of the most numerous 0.1% of peripheral blood T cell clones present in each T cell subset were divided by the total abundance of each subset to yield a proportion. The most numerous 0.1% of peripheral blood T cell clones found in both naive and memory or TEMRA subsets were bioinformatically removed from the naive repertoire. *p < 0.05. CD4, Bulk CD4+ T cells; CD8 Memory, CD8+ central and effector memory T cells; CD8 Naive, CD8+ naive T cells.

Large clones are CMV reactive

To determine the proportion of the memory and TEMRA repertoires dedicated to CMV, we isolated skin fibroblasts derived from CMV+ subjects four and five and infected them with CMV (see ). Memory and TEMRA cells were then stimulated with these fibroblasts, and CD137+ activated T cells were sorted and sequenced. When we examined the relative frequency of CMV-reactive clones in each subject, we observed that, in both memory and TEMRA subsets, the highest frequency clones were CMV reactive (Fig. 3A, 3B). Moreover, we found that the largest clones were present in both memory and TEMRA subsets. Interestingly, in the TEMRA population, we observed large clones in both subjects that did not express CD137 when stimulated with CMV (Fig. 3B). These large TEMRA clones were also found in the CD137+ CMV-reactive memory subset, suggesting that phenotype contributes to CMV responsiveness. TEMRA cells have previously been shown to contain CMV-reactive clones with limited proliferative potential and resistance to apoptosis (45). We then determined the cumulative abundance of CD137+ memory and CD137+ TEMRA clones and calculated the proportion of PBMC, memory, and TEMRA subsets allocated to CMV (Fig. 3C). We found that, in the two subjects studied in this manner, the 10 largest CMV-reactive memory clones composed 34.4 and 45.9% of the memory repertoire, whereas the 10 largest CMV-reactive TEMRA clones made up 82.8 and 62.3% of the TEMRA repertoire. We also observed that the proportion of the peripheral blood repertoire dedicated to CMV is very similar to the proportion of the repertoire composed of the most numerous 0.1% of T cell clones. Notably, 37.4 and 42.0% of the most numerous 0.1% of peripheral blood T cell clones were found to be CMV reactive in each of the subjects. Additionally, as a proportion, the cumulative abundance of CMV-reactive clones accounted for 75.4 and 78.0% of these large peripheral blood clones. Together, these results demonstrate that the largest clones in the peripheral blood T cell repertoire are CMV reactive and that they reside in the memory and TEMRA subsets.
FIGURE 3.

Identification of CMV-reactive T cell clones in the elderly. (A and B) Scatterplot comparing clone frequencies in CMV-stimulated CD137+ and resting memory (A) or TEMRA (B) subsets from CMV+ subjects four and five. CD8+CD45RO+ memory and CD8+CD45RA+CD62Llo/− TEMRA cells were sorted and stimulated with autologous CMV-infected fibroblasts for 24 h. CD137+ T cells were then sorted and TCRβ sequencing was performed. The frequency of productive TCRβ sequences from unstimulated memory and TEMRA samples are plotted against the frequency of productive TCRβ sequences from the corresponding CD137+ sample. Each point represents a unique clone. Points along the axis represent clones present in one sample. Points colored blue in (A) represent clones present in the CD137+ TEMRA sample and in (B) represent clones also present in the CD137+ memory T cell sample. Logarithmic scale, base 10. (C) Comparison of the fraction of each T cell subset as unique rearrangements (pink) or reads (green) composed of CD137+ CMV-reactive clones. Memory and TEMRA CD137+ TCRβ sequences were combined to capture all CMV-reactive clones present in each PBMC T cell repertoire. Pink represents the fraction of unique CMV-reactive clones found in each corresponding unstimulated sample. Green represents the cumulative abundance CMV-reactive clones found in each corresponding unstimulated sample divided by the total abundance of the sample. Memory, CD8+ central and effector memory; PB, peripheral blood.

Identification of CMV-reactive T cell clones in the elderly. (A and B) Scatterplot comparing clone frequencies in CMV-stimulated CD137+ and resting memory (A) or TEMRA (B) subsets from CMV+ subjects four and five. CD8+CD45RO+ memory and CD8+CD45RA+CD62Llo/− TEMRA cells were sorted and stimulated with autologous CMV-infected fibroblasts for 24 h. CD137+ T cells were then sorted and TCRβ sequencing was performed. The frequency of productive TCRβ sequences from unstimulated memory and TEMRA samples are plotted against the frequency of productive TCRβ sequences from the corresponding CD137+ sample. Each point represents a unique clone. Points along the axis represent clones present in one sample. Points colored blue in (A) represent clones present in the CD137+ TEMRA sample and in (B) represent clones also present in the CD137+ memory T cell sample. Logarithmic scale, base 10. (C) Comparison of the fraction of each T cell subset as unique rearrangements (pink) or reads (green) composed of CD137+ CMV-reactive clones. Memory and TEMRA CD137+ TCRβ sequences were combined to capture all CMV-reactive clones present in each PBMC T cell repertoire. Pink represents the fraction of unique CMV-reactive clones found in each corresponding unstimulated sample. Green represents the cumulative abundance CMV-reactive clones found in each corresponding unstimulated sample divided by the total abundance of the sample. Memory, CD8+ central and effector memory; PB, peripheral blood.

Effect of CMV on underlying T cell repertoire diversity

Considering that a significant proportion of the repertoire is dedicated to CMV, we next sought to determine the effect of large clones on the underlying T cell repertoire. We calculated the Shannon entropy and clonality metrics for each T cell subset under study (see , Fig. 4A, 4B). To remove the possible confounding effect of the purity of the cell sort, we bioinformatically removed from the naive repertoires of each participant the most numerous 0.1% of peripheral blood T cell clones also found in the memory and TEMRA subsets. As expected, we observed that the CD4+, CD8+ naive, and peripheral blood T cell repertoires of all subjects are significantly more diverse as compared with the memory and TEMRA subsets from the same individuals (significance threshold p < 0.01). When we compared CMV+ and CMV− individuals, we found that both the Shannon entropy and clonality of the CD4+, CD8+ naive, and CD8+ TEMRA repertoires were not significantly different. However, the peripheral blood and memory repertoires of the CMV+ were less diverse compared with the CMV− (p = 0.03). These results demonstrate that the decrease in overall T cell repertoire diversity in the CMV+ is due to a decrease in diversity of the memory T cell subset. To determine whether CMV altered the structural characteristics of the naive repertoire, we examined the distribution of low-frequency clones in the naive repertoires of each subject. We found nearly identical clone frequency distributions between CMV+ and CMV− individuals (Fig. 4C). Although naive T cells make up a smaller fraction of the total CD8+ T cell population in CMV+ subjects (Supplemental Table I), the overall structure of the repertoire appears to remain unmodified.
FIGURE 4.

Effect of CMV on the underlying T cell repertoire. (A and B) Scatterplot comparing the Shannon entropy (A) or clonality (B) of each T cell subset in CMV+ (blue) and CMV− (orange) subjects. The most numerous 0.1% of peripheral blood T cell clones found in both naive and memory or TEMRA repertoires were bioinformatically removed from naive T cell entropy and clonality calculations. Nonproductive TCRβ rearrangements were excluded from these calculations. (C) Histogram comparing the frequency distribution of naive T cell clones in CMV+ and CMV− subjects. Each bar represents the total number of unique clones present at a particular frequency. Naive T cell clones with frequencies greater than 10−4 are not displayed. Logarithmic scale, base 10. *p < 0.05. Memory, CD8+ central and effector memory; PB, peripheral blood. S, subject.

Effect of CMV on the underlying T cell repertoire. (A and B) Scatterplot comparing the Shannon entropy (A) or clonality (B) of each T cell subset in CMV+ (blue) and CMV− (orange) subjects. The most numerous 0.1% of peripheral blood T cell clones found in both naive and memory or TEMRA repertoires were bioinformatically removed from naive T cell entropy and clonality calculations. Nonproductive TCRβ rearrangements were excluded from these calculations. (C) Histogram comparing the frequency distribution of naive T cell clones in CMV+ and CMV− subjects. Each bar represents the total number of unique clones present at a particular frequency. Naive T cell clones with frequencies greater than 10−4 are not displayed. Logarithmic scale, base 10. *p < 0.05. Memory, CD8+ central and effector memory; PB, peripheral blood. S, subject.

The CD8+ repertoire expands to accommodate large clones

To assess whether the differences in peripheral blood, memory, and TEMRA repertoire diversities were the result of large CMV-driven clonal expansions, we removed the most numerous 0.1% of peripheral blood T cell clones from the peripheral blood, memory, and TEMRA repertoires of each subject. When we recalculated the Shannon entropy, we found that the peripheral blood, memory, and TEMRA repertoire diversities were indistinguishable based on CMV serostatus (Fig. 5A). Removing the most numerous 0.1% of peripheral blood T cell clones increased repertoire diversity in all subjects, suggesting that the presence of large clones does not dramatically affect the clonal composition of the underlying repertoire.
FIGURE 5.

Accommodation of large clonotypes in the T cell repertoire. (A) Scatterplot comparing the Shannon entropy in CMV+ (blue) and CMV− (orange) subjects after removal of the most numerous 0.1% of peripheral blood T cell clones from each T cell subset. The most numerous 0.1% of peripheral blood T cell clones were bioinformatically removed from each T cell subset and the Shannon entropy values were recalculated. Nonproductive TCRβ rearrangements were excluded from these calculations. (B) Stacked bar chart comparing the total number of T cells in each subset in four CMV+ and two CMV− subjects. Clinical laboratory CD8+ T cell counts were performed on blood samples from six to eight study subjects. The relative frequency of each CD8+ T cell subset obtained by flow cytometry is used to identify the number of T cells in each subset. Light gray, Naive T cells; Medium gray, Memory T cells; and Dark gray, TEMRA cells. (C–E) A model of the T cell repertoire with subordinate clones (orange) and CMV-reactive clones (blue) depicting the potential impact of CMV infection in (C) T cell repertoire at baseline prior to CMV exposure. All clones share similar frequency distributions. (D and E) T cell repertoire after CMV exposure with massive clonal expansions that supplant rare T cell clones from the repertoire (D) or that does not modify the underlying T cell repertoire (E). Sphere size corresponds to clone abundance. Memory, CD8+ central and effector memory; PB, peripheral blood.

Accommodation of large clonotypes in the T cell repertoire. (A) Scatterplot comparing the Shannon entropy in CMV+ (blue) and CMV− (orange) subjects after removal of the most numerous 0.1% of peripheral blood T cell clones from each T cell subset. The most numerous 0.1% of peripheral blood T cell clones were bioinformatically removed from each T cell subset and the Shannon entropy values were recalculated. Nonproductive TCRβ rearrangements were excluded from these calculations. (B) Stacked bar chart comparing the total number of T cells in each subset in four CMV+ and two CMV− subjects. Clinical laboratory CD8+ T cell counts were performed on blood samples from six to eight study subjects. The relative frequency of each CD8+ T cell subset obtained by flow cytometry is used to identify the number of T cells in each subset. Light gray, Naive T cells; Medium gray, Memory T cells; and Dark gray, TEMRA cells. (C–E) A model of the T cell repertoire with subordinate clones (orange) and CMV-reactive clones (blue) depicting the potential impact of CMV infection in (C) T cell repertoire at baseline prior to CMV exposure. All clones share similar frequency distributions. (D and E) T cell repertoire after CMV exposure with massive clonal expansions that supplant rare T cell clones from the repertoire (D) or that does not modify the underlying T cell repertoire (E). Sphere size corresponds to clone abundance. Memory, CD8+ central and effector memory; PB, peripheral blood. To reconcile the observation that very large CMV-reactive clones dominate the repertoire of elderly, CMV+ subjects without altering its underlying diversity and structure, we obtained diagnostic-quality T cell counts from six of the subjects in this study (see ). We then used relative frequencies of CD8+ T cell subsets obtained using flow cytometry to calculate the number of cells present in each subset (Fig. 5B). Interestingly, we observed that the CD8+ T cell repertoire broadens to accommodate large, CMV-fueled clonal expansions. This observation contrasts with conclusions from previous studies suggesting that large clonal expansions expel smaller clones from the repertoire to maintain homeostasis. Instead, our data suggests that the number of cells in the T cell repertoire increases over the lifespan of a subject to accommodate new Ag exposures as well as sustain a stable population of large clones that react to chronic viral infections.

Discussion

In this study, we define the effect of CMV on the diversity and clonal structure of the aging immune system. Over time, chronic CMV infection sustains large CMV-specific clones in the circulating T cell repertoire (41, 46). Consistent with previous studies, we found that the proportion of the repertoire occupied by the most numerous 0.1% of T cell clones in the peripheral blood is dramatically increased in CMV-seropositive individuals across a wide range of ages. Although we did not examine study subjects longitudinally, our results from 543 CMV-seropositive and -seronegative individuals suggests that at the clonal level, “memory inflation” is a phenomenon that stabilizes; specifically, memory T cell clones reactive to persistent viruses do not continue to accumulate with increasing age. These results are supported by studies showing that in the elderly, CMV-specific T cells retain effective antiviral and cytotoxic functions (47–49). Nevertheless, these results underscore the substantial burden that CMV infection places on the aging adaptive immune system. To explore the influence of CMV on the structure of the aging T cell repertoire in greater detail, we examined productively rearranged TCRβ DNA sequences derived from the CD8+ T cell subsets implicated in suppressing CMV reactivation in a group of eight CMV+ and CMV− subjects aged 70 y and older. We found that the most numerous 0.1% of peripheral blood T cell clones composed a significant proportion of the memory and TEMRA subsets in the CMV+ elderly, which is consistent with previous studies (41, 50). Given that a significant proportion of the memory and TEMRA repertoires were composed of large clones in the CMV+ elderly, we next sought to determine whether these clones were CMV reactive. We found that, in both subjects, the largest CMV-reactive clones were shared among Ag-experienced T cell subsets. Significantly, we observed that some of the largest shared clones in the TEMRA subset did not express CD137 when stimulated with CMV-infected fibroblasts. Our results are somewhat in conflict with another study in elderly individuals demonstrating that NLVPMVATV- and TPRVTGGGAM-specific T cells proliferate when stimulated with cognate peptide (47); however, the use of synthetic peptide pools opposed to CMV-infected fibroblasts as sources of Ag partially explains this discrepancy. Our observations are in agreement with previous reports that TEMRA cells are not clonally deleted upon replicative senescence (51). Importantly, we found that the largest clones in the peripheral blood repertoire are CMV reactive. Considering that all participants were EBV seropositive and EBV is also known to elicit large clonal expansions, we suspect that some of the remaining large clones that are not specific to CMV could recognize EBV (52). Previous studies have suggested that T cell clones are eradicated from the repertoire to accommodate the large clonal expansions observed in the CMV-seropositive elderly. However, we found no difference in the diversity of the underlying T cell repertoire or in the distribution of low-frequency clones in the naive T cell repertoire based on CMV serostatus (53). Our observations suggest that, from the standpoint of the CD8+ repertoire, CMV-driven clones expand without altering the rest of the repertoire (Fig. 5C–E) (54). Given our depth of sampling, the fact that we could not detect a compensatory shrinking of the repertoire in the presence of CMV-induced expansions implies that this phenomenon occurs either rarely or not at all. When we bioinformatically removed the most numerous 0.1% of peripheral blood T cell clones from the peripheral blood, memory, and TEMRA repertoires, we observed an increase in diversity, and in fact, the diversity of these modified repertoires was nearly identical to that observed in the repertoires of CMV− subjects. This suggests that the expansion of large, shared memory and TEMRA clones may be a general phenomenon of aging in the context of a latent viral infection. In support of this claim, we observed that the total number of T cells in each CD8+ T cell subset is increased in CMV+ individuals. Altogether, these results demonstrate that the T cell repertoire grows to accommodate the maintenance of a population of large CMV-reactive T cell clones. Although CMV infection alters the T cell repertoire across a variety of ages, CMV is not associated with increased mortality until the later stages of life. We note that although our inferences are based on a few participants, the differences in repertoire structure based on CMV status in the elderly are quite unremarkable. Thus, our observations merit further research into the cellular mechanisms that perpetuate immunosenescence.
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1.  Dysfunctional CMV-specific CD8(+) T cells accumulate in the elderly.

Authors:  Qin Ouyang; Wolfgang M Wagner; Wei Zheng; Anders Wikby; Ed J Remarque; Graham Pawelec
Journal:  Exp Gerontol       Date:  2004-04       Impact factor: 4.032

2.  T cell subset-specific susceptibility to aging.

Authors:  Marta Czesnikiewicz-Guzik; Won-Woo Lee; Dapeng Cui; Yuko Hiruma; David L Lamar; Zhi-Zhang Yang; Joseph G Ouslander; Cornelia M Weyand; Jörg J Goronzy
Journal:  Clin Immunol       Date:  2008-01-28       Impact factor: 3.969

3.  Memory inflation during chronic viral infection is maintained by continuous production of short-lived, functional T cells.

Authors:  Christopher M Snyder; Kathy S Cho; Elizabeth L Bonnett; Serani van Dommelen; Geoffrey R Shellam; Ann B Hill
Journal:  Immunity       Date:  2008-10-17       Impact factor: 31.745

Review 4.  Understanding immunosenescence to improve responses to vaccines.

Authors:  Jörg J Goronzy; Cornelia M Weyand
Journal:  Nat Immunol       Date:  2013-04-18       Impact factor: 25.606

Review 5.  Homeostasis of naive and memory T cells.

Authors:  Charles D Surh; Jonathan Sprent
Journal:  Immunity       Date:  2008-12-19       Impact factor: 31.745

6.  Age-related CD8 T cell clonal expansions constrict CD8 T cell repertoire and have the potential to impair immune defense.

Authors:  Ilhem Messaoudi; Joël Lemaoult; Jose A Guevara-Patino; Beatrix M Metzner; Janko Nikolich-Zugich
Journal:  J Exp Med       Date:  2004-11-15       Impact factor: 14.307

7.  Seropositivity to cytomegalovirus, inflammation, all-cause and cardiovascular disease-related mortality in the United States.

Authors:  Amanda M Simanek; Jennifer Beam Dowd; Graham Pawelec; David Melzer; Ambarish Dutta; Allison E Aiello
Journal:  PLoS One       Date:  2011-02-17       Impact factor: 3.240

8.  T cell recognition patterns of immunodominant cytomegalovirus antigens in primary and persistent infection.

Authors:  Naeem Khan; Donna Best; Rachel Bruton; Laxman Nayak; Alan B Rickinson; Paul A H Moss
Journal:  J Immunol       Date:  2007-04-01       Impact factor: 5.422

9.  Cytomegalovirus infection impairs immune responses and accentuates T-cell pool changes observed in mice with aging.

Authors:  Luka Cicin-Sain; James D Brien; Jennifer L Uhrlaub; Anja Drabig; Thomas F Marandu; Janko Nikolich-Zugich
Journal:  PLoS Pathog       Date:  2012-08-16       Impact factor: 6.823

10.  Age-associated decline in T cell repertoire diversity leads to holes in the repertoire and impaired immunity to influenza virus.

Authors:  Eric J Yager; Mushtaq Ahmed; Kathleen Lanzer; Troy D Randall; David L Woodland; Marcia A Blackman
Journal:  J Exp Med       Date:  2008-03-10       Impact factor: 14.307

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  15 in total

1.  Early life imprints the hierarchy of T cell clone sizes.

Authors:  Mario U Gaimann; Maximilian Nguyen; Jonathan Desponds; Andreas Mayer
Journal:  Elife       Date:  2020-12-21       Impact factor: 8.140

2.  Evolution of Cytomegalovirus-Responsive T Cell Clonality following Solid Organ Transplantation.

Authors:  Lauren E Higdon; Steven Schaffert; Huang Huang; Maria E Montez-Rath; Marc Lucia; Alokkumar Jha; Naresha Saligrama; Kenneth B Margulies; Olivia M Martinez; Mark M Davis; Purvesh Khatri; Jonathan S Maltzman
Journal:  J Immunol       Date:  2021-09-22       Impact factor: 5.426

3.  Combined TCR Repertoire Profiles and Blood Cell Phenotypes Predict Melanoma Patient Response to Personalized Neoantigen Therapy plus Anti-PD-1.

Authors:  Asaf Poran; Julian Scherer; Meghan E Bushway; Rana Besada; Kristen N Balogh; Amy Wanamaker; Reid G Williams; Jasmina Prabhakara; Patrick A Ott; Siwen Hu-Lieskovan; Zakaria S Khondker; Richard B Gaynor; Michael S Rooney; Lakshmi Srinivasan
Journal:  Cell Rep Med       Date:  2020-11-17

4.  Cytomegalovirus antibody levels and mortality among hospitalised elderly patients.

Authors:  Santiago González-Quijada; Mikel Del Álamo-Martínez de Lagos; Marina Álvarez-Llabrés; Lorena Pérez-González
Journal:  Ann Med       Date:  2020-08-24       Impact factor: 4.709

Review 5.  Human Cytomegalovirus Latency and Reactivation in Allogeneic Hematopoietic Stem Cell Transplant Recipients.

Authors:  Lauren Stern; Barbara Withers; Selmir Avdic; David Gottlieb; Allison Abendroth; Emily Blyth; Barry Slobedman
Journal:  Front Microbiol       Date:  2019-05-28       Impact factor: 5.640

Review 6.  Generation, maintenance and tissue distribution of T cell responses to human cytomegalovirus in lytic and latent infection.

Authors:  Sarah E Jackson; George X Sedikides; Georgina Okecha; Mark R Wills
Journal:  Med Microbiol Immunol       Date:  2019-03-20       Impact factor: 3.402

Review 7.  How age and infection history shape the antigen-specific CD8+ T-cell repertoire: Implications for vaccination strategies in older adults.

Authors:  Josien Lanfermeijer; José A M Borghans; Debbie van Baarle
Journal:  Aging Cell       Date:  2020-10-20       Impact factor: 9.304

8.  Single-cell analysis shows that adipose tissue of persons with both HIV and diabetes is enriched for clonal, cytotoxic, and CMV-specific CD4+ T cells.

Authors:  Celestine N Wanjalla; Wyatt J McDonnell; Ramesh Ram; Abha Chopra; Rama Gangula; Shay Leary; Mona Mashayekhi; Joshua D Simmons; Christian M Warren; Samuel Bailin; Curtis L Gabriel; Liang Guo; Briana D Furch; Morgan C Lima; Beverly O Woodward; LaToya Hannah; Mark A Pilkinton; Daniela T Fuller; Kenji Kawai; Renu Virmani; Aloke V Finn; Alyssa H Hasty; Simon A Mallal; Spyros A Kalams; John R Koethe
Journal:  Cell Rep Med       Date:  2021-02-16

Review 9.  The Immune Response Against Human Cytomegalovirus Links Cellular to Systemic Senescence.

Authors:  John J Heath; Michael D Grant
Journal:  Cells       Date:  2020-03-20       Impact factor: 6.600

10.  Cytomegalovirus-Mediated T Cell Receptor Repertoire Perturbation Is Present in Early Life.

Authors:  Meriem Attaf; Julia Roider; Amna Malik; Cristina Rius Rafael; Garry Dolton; Andrew J Predergast; Alasdair Leslie; Thumbi Ndung'u; Henrik N Kløverpris; Andrew K Sewell; Philip J Goulder
Journal:  Front Immunol       Date:  2020-09-30       Impact factor: 7.561

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