American Journal of Respiratory and Critical Care Medicine

Rationale: Asthma is prospectively associated with age-related chronic diseases and mortality, suggesting the hypothesis that asthma may relate to a general, multisystem phenotype of accelerated aging.

Objectives: To test whether chronic asthma is associated with a proposed biomarker of accelerated aging, leukocyte telomere length.

Methods: Asthma was ascertained prospectively in the Dunedin Multidisciplinary Health and Development Study cohort (n = 1,037) at nine in-person assessments spanning ages 9–38 years. Leukocyte telomere length was measured at ages 26 and 38 years. Asthma was classified as life-course-persistent, childhood-onset not meeting criteria for persistence, and adolescent/adult-onset. We tested associations between asthma and leukocyte telomere length using regression models. We tested for confounding of asthma-leukocyte telomere length associations using covariate adjustment. We tested serum C-reactive protein and white blood cell counts as potential mediators of asthma-leukocyte telomere length associations.

Measurements and Main Results: Study members with life-course-persistent asthma had shorter leukocyte telomere length as compared with sex- and age-matched peers with no reported asthma. In contrast, leukocyte telomere length in study members with childhood-onset and adolescent/adult-onset asthma was not different from leukocyte telomere length in peers with no reported asthma. Adjustment for life histories of obesity and smoking did not change results. Study members with life-course-persistent asthma had elevated blood eosinophil counts. Blood eosinophil count mediated 29% of the life-course-persistent asthma-leukocyte telomere length association.

Conclusions: Life-course-persistent asthma is related to a proposed biomarker of accelerated aging, possibly via systemic eosinophilic inflammation. Life histories of asthma can inform studies of aging.

Scientific Knowledge on the Subject

Asthma is increasingly recognized as a disease of aging. A possible link between asthma and aging is leukocyte telomere length, a proposed biomarker of cellular aging.

What This Study Adds to the Field

Childhood-onset asthma that persists through midlife is related to shorter leukocyte telomere length, possibly via systemic eosinophilic inflammation. As of midlife, adolescent/adult-onset asthma was not associated with shorter leukocyte telomere length.

Asthma is a common, chronic syndrome responsible for substantial health and economic burden in children, adults, and increasingly, older adults (13). In adulthood, asthma is characterized by significant comorbidity with other chronic conditions (4); is prospectively associated with risk for developing chronic obstructive pulmonary disease (57), cardiovascular disease (810), and cancer (1113); and substantially increases risk for early mortality (14, 15). These observations suggest the hypothesis that asthma may relate to a general, multisystem phenotype of accelerated aging. Here we test the relationship between persistent asthma and one aging indicator, telomere length.

Leading molecular theories of aging identify telomere length as a potential biomarker of cellular aging and as a hypothesized mechanism in the aging process (16, 17). Telomeres are protective caps at the ends of chromosomes that erode with each cell division and thus provide a “biologic clock” tracking cellular aging. In animal studies, early life telomere length is predictive of lifespan (18). In vitro studies show a link between telomere shortening and cellular senescence leading to growth arrest (19). In humans, there are reports that shorter leukocyte telomere length is associated with increased morbidity and early mortality (20) and leukocyte telomere length has been proposed as a measure of decline in physiologic integrity across multiple systems (16). Although telomeres remain a controversial biomarker of the aging process (21), leukocyte telomere length provides a useful outcome to test the hypothesis that asthma is associated with accelerated aging for two reasons. First, individual differences in telomere length have been observed early in adult life (22), after individuals have developed asthma but before age-related diseases onset. This allows the isolation of chronic asthma as a correlate of telomere erosion independent of associated comorbidities. Second, chronic asthma is known to affect airway structure and function (2325). Measurement of telomeres in blood leukocytes allows for a test of asthma’s physiologic correlates outside the lung.

Asthma is a developmentally heterogeneous syndrome. Although asthma symptoms often manifest first early in childhood, asthma can commence at any age. The course of asthma is similarly variable, with some cases characterized by full or intermittent remission and others by life-course persistence of symptoms. Sir William Osler is quoted as referring to “asthmatics panting into old age,” but asthma may also be associated with reduced life expectancy (14, 15). The extent to which timing of onset and course of asthma are related to aging processes is uncertain. Previous studies of asthma and aging have focused on samples of individuals ascertained in late adulthood. Prospective life-course studies are needed that can distinguish asthma cases based on timing of onset and persistence of disease (26).

In adulthood, asthma may develop secondary to other health problems, including smoking and obesity (27, 28). To disentangle asthma from aging-related features of these other health problems, data are needed that observe the onset and course of asthma from childhood and that can account for potential confounding conditions that confer risk for asthma and accelerated aging.

If asthma is associated with shorter telomere length, this will raise the question of how the relationship comes about. Is it that short telomeres at the beginning of life create vulnerability to asthma? Or does asthma causes damage at the cellular level, resulting in shorter telomeres? In either case, asthma would be involved in aging, although implications for intervention might differ. The key initial step approached by this paper is to test for the asthma-telomere association and to describe the features of the asthma phenotype involved.

We tested associations between asthma and leukocyte telomere length using prospective data from a population-representative birth cohort followed over their first four decades of life, in whom development of asthma has been prospectively ascertained by follow-up at nine assessments at 2- to 6-year intervals from ages 9 to 38 years (29, 30). We measured mean relative leukocyte telomere length in genetic samples obtained at age 26 and again at age 38 years. We tested how the timing of asthma onset and asthma persistence related to telomere length, hypothesizing that the most chronic form of asthma would show the strongest relation to telomere measures. To determine whether associations between asthma and telomere length were attributable to factors that could cause asthma and shorter telomeres in leukocytes, we applied statistical adjustments for histories of obesity and smoking. Finally, we examined how the relationship between asthma and telomere length might be related to inflammation, measured in peripheral blood, the same tissue from which telomeres were assayed.


We used data from members of the Dunedin Multidisciplinary Health and Development Study, a longitudinal investigation of health and behavior in a complete (unselected) birth cohort. Study members (1,037; 91% of eligible births; 52% male) were all individuals born between April 1972, and March 1973, in Dunedin, New Zealand, who were eligible for the longitudinal study on the basis of residence in the province at age 3 years and who participated in the first follow-up assessment at age 3 years. The cohort represents the full range of socioeconomic status in the general population of New Zealand’s South Island and is mainly white (31). Assessments were done at birth and ages 3, 5, 7, 9, 11, 13, 15, 18, 21, 26, 32, and, most recently, 38 years, when 961 (95%) of the 1,007 surviving study members took part. At each assessment wave, study members are brought to the Dunedin research unit for a full day of interviews and examinations. The Otago Ethics Committee approved each phase of the study and informed consent was obtained.

Mean relative leukocyte telomere length.

Leukocyte DNA was extracted from blood using standard procedures (32, 33). Age-26 and age-38 DNA was stored at −80°C until assayed, to prevent degradation of the samples. All DNA samples were assayed for leukocyte telomere length at the same time, independently of asthma diagnosis. Study members who never developed asthma and study members with different courses of asthma were randomly distributed across different plates. All operations were performed by a laboratory technician masked to asthma status. Leukocyte telomere length was measured using a validated quantitative polymerase chain reaction method (34), as previously described (35), which determines mean telomere length across all chromosomes for all cells sampled. The method involves two quantitative polymerase chain reactions for each subject, one for a single-copy gene (S) and the other in the telomeric repeat region (T). All DNA samples were run in triplicate for telomere and single-copy reactions at ages 26 and 38 (i.e., 12 reactions per study member).

Measurement artifacts (e.g., differences in plate conditions) may lead to spurious results when comparing leukocyte telomere length measured on the same individual at different ages. To eliminate such artifacts, we assayed DNA triplicates from the same individual, from ages 26 and 38, on the same plate. The average coefficient of variation for the triplicate Ct values was 0.81% for the telomere (T) and 0.48% for the single-copy gene (S), indicating high precision. Leukocyte telomere length, as measured by T/S ratio, was normally distributed (Kolomogorov-Smirnov tests of normality), with a skew of 0.90 and kurtosis 1.59 at age 26, and a skew of 0.48 and kurtosis 0.38 at age 38. T/S ratio was transformed to have mean = 0, SD = 1 within age for all analyses (T/S ratio Z-score). Telomere measurements were made in 883 study members of European ancestry who consented to phlebotomy. These individuals formed the analysis sample.


We constructed developmental phenotypes of asthma from prospective data collected at nine in-person assessments spanning ages 9–38 years, as previously described (29, 30). Detailed asthma assessments were introduced at age 9 years. At each assessment, study members with a reported diagnosis of asthma and at least one of (1) recurrent wheeze, (2) asthma attack, or (3) asthma medication use in the past year were classified as having current asthma. By age 38 years, 34% of the cohort (n = 352 of 1,037 cohort members; 306 of 883 with telomere data) had been diagnosed with asthma. Asthma persistence was measured as the number of assessments at which study members met criteria for current asthma.

Based on age at onset and persistence, study members with asthma were categorized into three groups. First, we identified cases with onset in childhood and persistence in childhood through midlife. Specifically, this “life-course-persistent” asthma group was defined as having current asthma at two or more assessments up to puberty (age 13 yr) and at three or more assessments thereafter (by age 38 yr, n = 102; 97 with telomere data) (29). Of the life-course-persistent group, half (n = 51) met criteria for current asthma at all their adult assessments. Of the remainder, 23 met criteria for current asthma at five adult assessments, 15 at four assessments, and 13 at three assessments. Study members with asthma who did not meet life-course-persistence criteria were divided into a group with asthma onset in childhood who did not meet criteria for persistence, the childhood-onset group (n = 108; 86 with telomere data), and a group with asthma onset after age 13 years, hereafter the adolescent/adult-onset group (n = 139; 120 with telomere data).

Potential confounders.

Review of published literature identified three potential confounders of associations between asthma and leukocyte telomere length: (1) socioeconomic disadvantage, (2) obesity, and (3) cigarette smoking (28, 3642). We measured cohort members’ socioeconomic status as defined from the occupation of their parents when they were children (43). Obesity was measured from anthropometric data at ages 5, 7, 9, 11, 13, 15, 18, 21, 26, 32, and 38 years. Obesity was defined at ages 5–15 as body mass index exceeding the 90th percentile of the sex-specific US Centers for Disease Control and Prevention reference distribution and thereafter as body mass index of 30 or greater (44). At each adult follow-up, we calculated the cumulative number of assessments at which a cohort member had been obese, hereafter “life-course cumulative obesity.” Smoking history was assessed during clinical interviews from age 15 onward. These data were used to measure cumulative cigarette consumption in pack-years (a pack-year represents the number of cigarettes consumed during a year spent smoking 20 cigarettes per d) (45).


The Dunedin study took measures of inflammation from peripheral blood at the age-26, -32, and -38 assessments. High-sensitivity assays of C-reactive protein (hsCRP) were conducted at the age-32 and -38 assessments on a Hitachi 917 analyzer (Roche Diagnostics, GmbH, Mannheim, Germany) using a particle-enhanced immunoturbidimetric assay. hsCRP values were log-transformed for analysis. White blood cell (WBC) counts were measured at ages 26, 32, and 38 years (including counts of neutrophils, lymphocytes, monocytes, eosinophils, and basophils) on a fully automated hematology analyzer (Sysmex Corporation, Kobe, Japan). All WBC counts were measured as ×109/L and log-transformed for analysis.

Analyses of WBC counts focused on eosinophil and neutrophil counts because these are associated with asthmatic inflammation in lung (46, 47). Peripheral blood eosinophil and neutrophil levels have been questioned as indicators of active airway inflammation, but these cell counts are elevated in patients with asthma (48, 49). Eosinophils are implicated in the pathogenesis of many age-related diseases (50); and eosinophils secrete substances that cause oxidative stress (51) and inhibit telomerase activity (52), processes linked with shorter leukocyte telomere length (53, 54). Peripheral blood neutrophil levels are elevated in chronic obstructive pulmonary disease (55), which is linked with short telomeres (56). Analyses of other WBC counts are presented for purposes of comparison.


We analyzed the continuous measure of leukocyte telomere length using regression models. Because telomere length was measured at two adult assessments (when study members were aged 26 and 38 yr), we analyzed data as one longitudinal panel including repeated observations of individuals. These analyses treated each telomere length assessment as an outcome. Generalized estimating equations were used to account for the nonindependence of repeated observations (57). We also conducted a change analysis in which telomere length at age 38 was the outcome and telomere length at age 26 was included as a covariate. An asthma coefficient from this model indexes the difference in telomere change in asthma cases as compared with cases without asthma.

Asthma phenotypes were defined according to the age at which telomere length was assessed. For example, a cohort member first identified with asthma at age 32 years would be counted as an adolescent/adult-onset asthma case for analysis predicting age-38 telomere length, but doing so was not appropriate for analysis predicting age-26 telomere length. Similarly, asthma persistence was defined as the number of assessments at which the individual met criteria for current asthma up to the particular age of telomere assessment. We included chronologic age and sex as model covariates because asthma prevalence and persistence change over time and vary between men and women (29, 30). We also included as a covariate a product term for the age-sex interaction. We included this covariate first because females more commonly onset with asthma in adulthood as compared with males (who more commonly onset with asthma in childhood) (58) and this is also true in the Dunedin cohort (29); and second because some studies report sex differences in telomere-length change over time (59).

We tested how associations between asthma and telomere length were related to inflammation using generalized estimating equation models and the structural equations described by Baron and Kenny (60) and the methods described by Preacher and colleagues (61, 62).

All biomarker values (leukocyte telomere T/S ratio, hsCRP level, and WBC counts) were standardized for analyses to have mean = 0, SD = 1. Figure 1 and Table 1, which present data showing asthma-telomere length associations, report telomere length in T/S ratio units. All analyses were conducted using Stata 13.0 (StataCorp, College Station, TX) (63).

Table 1. Leukocyte Telomere Length by Asthma Category

 Age 26 yrAge 38 yr 
No Reported AsthmaChildhood-OnsetAdolescent/ Adult-OnsetLife-Course-PersistentNo Reported AsthmaChildhood-OnsetAdolescent/ Adult-OnsetLife-Course-Persistent 
95% Confidence interval1.17–1.241.14–1.301.06–1.200.99–1.131.03–1.081.04–1.180.99–1.090.91–1.03 

We first tested whether study members who had developed asthma (of any phenotype) manifested shorter leukocyte telomeres at ages 26 and 38 years as compared with their same-aged peers who had not developed asthma. Study members with ever-diagnosed asthma had shorter telomeres as compared with those in the nonasthma control group, but the result was on the margin of statistical significance (B = −0.12; P = 0.050). We next tested the hypothesis that telomere length would be shorter among specifically those cohort members with lifelong chronic asthma (as opposed to all cohort members with asthma). Only cohort members with life-course-persistent asthma had shorter telomere length across age-26 and -38 assessments (B = −0.31; P < 0.001). In contrast, there were no differences in telomere length between childhood-onset cases not meeting criteria for persistence and control subjects (B = 0.09; P = 0.343) and between adolescent/adult-onset cases and control subjects (B = −0.12; P = 0.122). Figure 1 shows average telomere length at ages 26 and 38 years within groups defined by course of asthma.

The developmental phenotypes of asthma that we analyzed describe different patterns of asthma (timing of onset and course of persistence) across the first four decades of life. Because these are descriptive groupings of cases rather than diagnostic categories, we conducted sensitivity analyses. First, we tested whether the persistence of asthma (number of assessments with current asthma) was associated with shorter leukocyte telomere length. Among asthma cases with onset by age 13 years (n = 186), increasing asthma persistence predicted shorter telomere length (B = −0.05; P = 0.020), consistent with our analysis of childhood-onset and life-course-persistent asthma groups. Among asthma cases with onset after age 13 years (n = 120), there was no association between asthma persistence and telomere length (B = 0.04; P = 0.426). This result suggests that a truly persistent course of asthma across childhood is important to asthma-telomere associations. Second, some of the 97 study members who were classified as life-course-persistent asthma cases did not meet criteria for current asthma at every assessment during adult follow-up (ages 15–38). Restricting the life-course-persistent group to only those cases who always met current asthma criteria did not change results (for the group always meeting current asthma criteria, B = −0.34, P = 0.001; for all other life-course-persistent cases, B = −0.30, P = 0.009). Hence, childhood-onset asthma cases with a generally persistent course of disease in adulthood but who sometimes presented with no past-year asthma symptoms also manifested shorter telomeres.

To test for confounding of the association between life-course-persistent asthma and leukocyte telomere length, we reestimated the association between life-course-persistent asthma and telomere length excluding individuals who grew up in low socioeconomic status households (B = −0.33; P < 0.001), who had ever been obese (B = −0.35; P < 0.001), and who had ever smoked (B = −0.32; P = 0.027). In addition, we repeated regression analyses in the full sample adding statistical adjustment for childhood socioeconomic status, life-course cumulative obesity, and smoking pack-years. Adjustment for these variables did not change the association between life-course-persistent asthma and telomere length (B = −0.31; P < 0.001 in adjusted models).

To test whether life-course-persistent asthma cases were experiencing more rapid telomere erosion between ages 26 and 38 years as compared with cohort members without asthma, we fitted a change model: we regressed age-38 telomere length on life-course-persistent asthma status and telomere length at age 26 years. Change in telomere length over this 12-year period was similar in the life-course-persistent asthma cases and in cohort members without asthma (B = 0.05; P = 0.568), suggesting that the asthma-telomere association had emerged before age 26, our initial telomere measurement.

Finally, we investigated how the association between life-course-persistent asthma and shorter leukocyte telomere length was related to indicators of inflammation in peripheral blood. Cohort members with life-course-persistent asthma exhibited elevated blood eosinophils as compared with cohort members without asthma (B = 0.96; P < 0.001). Blood hsCRP and other WBC levels in cohort members with life-course-persistent asthma were similar to those in cohort members who had not developed asthma. Figure 2 shows differences in peripheral blood levels of hsCRP, and WBC counts in childhood-onset, adolescent/adult-onset, and life-course-persistent asthma cases as compared with individuals who had not developed asthma by the time of assessment. Higher levels of blood eosinophils were associated with shorter telomere length (B = −0.10; P < 0.001). After partialing out variance attributable to eosinophils, life-course-persistent asthma remained associated with telomere length, although the effect was attenuated (B = −0.24; P = 0.005). The structural model indicated that blood eosinophil count accounted for 29% (95% confidence interval, 15–61%) of the association between life-course-persistent asthma and telomere length. Details for structural models are presented in the online supplement.

In this study, we found evidence for association between chronic asthma and shorter leukocyte telomere length in adulthood. Shorter telomeres were found in those with life-course-persistent asthma, but not in childhood-onset or adolescent/adult-onset asthma. Sensitivity analyses confirmed that the association between asthma and shorter telomere length was present only in cases with persistent asthma during childhood and adulthood. This result suggests a mechanism that accumulates throughout development. Shorter telomeres among cohort members with life-course-persistent asthma were not caused by differences in life history of obesity or smoking and were not accounted for by childhood socioeconomic position. Life-course-persistent asthma did not predict a more rapid rate of telomere change between ages 26 and 38 years. One interpretation of this result is that that whatever process links chronic asthma and telomere length has already occurred by young adulthood. Alternatively, we may not have detected change in telomere length within the life-course-persistent asthma group because of right-hand censoring (our follow-up ends at age 38 yr). Finally, our data are agnostic as to the causal direction of the asthma-telomere association. However, whatever the causal direction of the association, systemic eosinophilic inflammation seems to be involved. Specifically, increased levels of circulating eosinophils accounted for just under one-third of the association between chronic asthma and telomere length.

The pathogenesis of many age-related diseases involves eosinophils (50), which secrete substances that cause oxidative stress (51) and inhibit telomerase activity (52) (processes linked with shorter leukocyte telomere length [53, 54]). If eosinophilic inflammation causes short telomere length during early stages of innate immune development, short telomeres should be characteristic of eosinophilic disorders of childhood. If the process requires chronic exposure, short telomere length may not be observed until later in life.

We acknowledge limitations. First, left censoring of telomere measurements means our study cannot establish the causal ordering of chronic asthma and shorter leukocyte telomeres. Future studies with measurements of telomeres beginning early in childhood can help to clarify whether short telomeres precede asthma onset or if the onset and persistence of asthma shortens telomeres. Second, right censoring of all measurements leaves open the possibility that cases of chronic asthma will come to have telomeres of similar length to asthma-free individuals, or that other groups (e.g., adult-onset asthma cases) will experience more rapid telomere erosion and come to resemble the life-course-persistent cases. Continued follow-up of this cohort and further research in other cohorts that track the natural history of adult asthma are needed. Studies including follow-up into the second half of the life course can examine how comorbid health conditions and medications affect asthma-telomere associations and the role of asthma and short telomere length in age-related decline in lung function. From our analysis, asthma seems to relate to shorter telomere length only in cases characterized by onset in childhood and a persistent course, because shorter telomeres were not observed in childhood-onset cases without persistence and telomere length was not related to the persistence of asthma among those with onset in adolescence or adulthood.

Third, our cohort was from a single country and was primarily of European descent. Replication in other populations and in other countries is needed. Finally, although our analyses implicate systemic eosinophilic inflammation in the association between asthma and telomere length, we lack cell-type–specific measures of telomere length. If short telomere length confers refractory inflammation, it is important to know whether this is a cell-autonomous phenotype. Determining whether short telomeres are characteristic of all component cell types within leukocytes could inform understanding of mechanism. We also lack measures of inflammation from sputum or airway biopsies. Lower levels of human telomerase reverse transcriptase expression in submucosa of bronchial biopsies of patients with asthma have been reported (64). Research is needed to characterize mechanisms linking asthma and telomere length.

Our study constitutes an incremental advance in research on asthma and aging. To our knowledge, only two previous studies have tested associations between asthma and leukocyte telomere length (64, 65). As with previous studies, we find an association between asthma and shorter leukocyte telomere length. Our findings from a large, population-based birth cohort followed over four decades indicate that the link between asthma and telomere length is most pronounced in individuals with a childhood-onset, persistent course of asthma. Furthermore, the link between this phenotype of life-course-persistent asthma and telomere length is related to elevated systemic eosinophilic inflammation.

An implication of these findings is that life histories of asthma can inform studies of aging. First, studies of asthma and telomere length in particular, and of asthma and aging more generally, should seek to distinguish asthma cases on the basis of course of disease (early onset and subsequent persistence). Second, because asthma often begins early in life and persistent asthma is associated with poor health outcomes in aging, future studies investigating telomere-length correlations with specific age-related disease (e.g., chronic obstructive pulmonary disease [56]) should consider participants’ life histories of asthma. Finally, although asthma has traditionally been studied as a disease of childhood, studies of adult asthma and studies linking asthma with multimorbidity in later life have highlighted asthma as a disease of aging. Future studies of the aging process may benefit from information about participants’ histories of asthma.

The authors thank the Dunedin Study members, their families, unit research staff, and the Dunedin Study founder.

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Correspondence and requests for reprints should be addressed to Daniel W. Belsky, Ph.D., 2020 West Main Street, Suite 201, Durham, NC 27708. E-mail

Author Contributions: D.W.B. and I.S. conceived the study. M.R.S., R.J.H., T.E.M., R.P., and A.C. collected the data. D.W.B., I.S., A.C., R.J.H., H.L.H., B.W., and K.S. analyzed the data. D.W.B., I.S., A.C., R.J.H., M.R.S., and T.E.M. wrote the manuscript. All authors provided critical review of the manuscript and approved its submission.

The Dunedin Multidisciplinary Health and Development Research Unit is supported by the New Zealand Health Research Council. Collection of respiratory data was supported in part by the Otago Medical Research Foundation and the New Zealand Asthma Foundation. This research received support from US National Institute on Aging grant AG032282 and UK Medical Research Council grant MR/K00381X. Additional support was provided by the Jacobs Foundation. D.W.B. received support from the National Institute on Aging through a postdoctoral fellowship T32 AG000029 and P30 AG028716-08.

Originally Published in Press as DOI: 10.1164/rccm.201402-0370OC on June 23, 2014

This article has an online supplement, which is accessible from this issue's table of contents at

Author disclosures are available with the text of this article at

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