Background A previous case–control study of 100 individuals found that short telomere length was associated with a 28-fold increased risk of chronic obstructive pulmonary disease (COPD).
Objectives To test the hypothesis that short telomere length is associated with reduced lung function and an increased risk of COPD.
Methods Observational study of 46 396 individuals from the Danish general population.
Measurements Leucocyte telomere length and spirometry were measured. COPD was defined using either fixed forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) ratio <0.70 as suggested by the Global initiative for chronic Obstructive Lung Disease (GOLD) or FEV1/FVC below the lower limit of normal (LLN).
Results Telomere length decreased significantly with increasing age (p<10−300). FEV1, FVC and FEV1/FVC decreased with decreasing telomere length quartiles (p trend: 5×10−51, 5×10−35 and 6×10−137, respectively), but the associations attenuated after age and multivariable adjustment. The risk of COPD increased with decreasing telomere length quartile (p trend: p=7×10−92 for GOLD; p=8×10−44 for FEV1/FVC below LLN), but associations also attenuated after adjustment. Unadjusted and multivariable adjusted OR for shortest versus longest telomere length quartiles were 2.06 (95% CI 1.91 to 2.22) and 1.15 (95% CI 1.06 to 1.25) for GOLD and 1.73 (95% CI 1.60 to 1.88) and 1.19 (95% CI 1.09 to 1.30) for FEV1/FVC below LLN, respectively. Per 1000 base pairs decrease in telomere length, the multivariable adjusted OR was 1.07 (95% CI 1.03 to 1.10) for GOLD and 1.07 (95% CI 1.03 to 1.11) for FEV1/FVC below LLN.
Conclusions Short telomere length is associated with decreased lung function and with increased risk of COPD, but the associations are markedly attenuated after adjustment. Our data support a modest correlation between telomere length and the lung function indices examined.
- COPD epidemiology
- Oxidative Stress
- Tobacco and the lung
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What is the key question?
Are shorter telomeres associated with reduced lung function and increased risk of chronic obstructive pulmonary disease (COPD)?
What is the bottom line?
It is biologically plausible that pulmonary oxidative stress and inflammation could lead to short telomere length and, hence, short telomere length could be a marker of decreased lung function and increased risk of COPD.
Among 46 396 individuals, those with short telomeres are more likely to have reduced lung function and COPD, according to the GOLD classification as well as according to forced expiratory volume in 1 s/forced vital capacity below lower limit of normal, compared with those with long telomeres.
Why read on?
This very large study shows that short telomere length is associated with COPD risk. The association may, however, be more moderate than previously suggested in smaller studies of 76–291 individuals.
Our results stress the importance of adjusting for age and other confounders when examining the association between COPD and short telomeres.
Lung tissue is often exposed to oxidants from inhaled nitrogen dioxide, ozone, gasoline and diesel exhaust and from tobacco smoke. The combination of a large surface area and a high blood supply result in a high susceptibility to oxidative stress in lung tissue,1 a factor that is believed to play a crucial role in pulmonary inflammation, decreased pulmonary function and in the development of chronic obstructive pulmonary disease (COPD).
Telomeres are repetitive DNA sequences at the end of chromosomes which are important for chromosome protection and thus for longevity of cells.2 ,3 In most cells telomere length shortens with each cell division, and since exposure to oxidative stress as well as inflammation enhance this shortening, telomere length may serve as a marker for cellular ageing.4 ,5 In accordance with this notion, telomere length decreases with increasing age, and short telomere length is also associated with lifestyle factors such as smoking, obesity and stress.6–9 It is therefore plausible that pulmonary oxidative stress and inflammation could lead to short telomere length, and that short telomere length could be a marker of decreased lung function and increased risk of COPD.
We tested the hypothesis that short telomere length is associated with decreased lung function and increased risk of COPD in a sample of 46 396 participants from the Danish general population. Severity of COPD was defined according to forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC), either by the Global initiative for chronic Obstructive Lung Disease (GOLD) criteria or by FEV1/FVC below the lower limit of normal (LLN).10 ,11
We studied participants from the Copenhagen General Population Study and the Copenhagen City Heart Study, both of which are Danish prospective general population studies.12–14 In both studies, randomly selected Copenhagen residents were invited to complete a questionnaire and undergo a physical examination including spirometry. Whole blood samples were collected for DNA isolation. There was no overlap of individuals between the two studies.
The study population consisted of 37 355 participants from the Copenhagen General Population Study included between 2003 and 2007 and 9041 participants from the Copenhagen City Heart Study included between 1991 and 1994, all with available spirometry and telomere length measurement. A total of 16 563 individuals were invited to participate in The Copenhagen City Heart Study between 1991 and 1994 and of those 10 135 entered the study. Whole blood samples for DNA isolation were collected in 9252 individuals, and among these 9041 had information on telomere length and spirometry. The Copenhagen General Population Study is an ongoing study. A total of 46% of invited individuals participated and 99% had whole blood samples collected for DNA isolation. Spirometry data are available for 98% of participants.
Lung function and COPD
At each examination three sets of values were registered for FEV1 and FVC and the highest set of values was used in the analyses. At least two measurements of FEV1 and FVC with a difference of less than 5% had to be obtained to ensure correct performance of the procedure. In the Copenhagen General Population Study, two different spirometers were used, a dry wedge spirometer in the first 15 000 participants and an EasyOne Spirometer in the rest of the population. In the Copenhagen City Heart Study, a dry wedge spirometer was used. Details regarding instruments have been described elsewhere.12 ,15 ,16
Predicted values for FEV1 and FVC were calculated for never smoking men and women individually using multiple linear regression analysis with age and height as covariates. Regression analyses were performed for the two studies individually as well as for type of spirometer used in the Copenhagen General Population Study.12 ,17 LLN for FEV1/FVC was defined as a ratio below the 5th centile of the predicted ratio for height and age in never smoking men and women individually, separately in each study and according to the type of spirometer used.
COPD was defined according to (1) GOLD with FEV1/FVC<0.70 and degree of airflow limitation split in four grades10: (I) FEV1≥80% predicted, (II) FEV1 50–79% predicted, or (III–IV) FEV1<50% predicted; and (2) FEV1/FVC below LLN.11 Individuals aged <40 years with self-reported asthma (n=323) were omitted from all analyses.
Telomere length was measured in DNA isolated from blood leucocytes. We used a modified monochrome multiplex quantitative PCR method,18 as described in detail elsewhere.19 In brief, we used the reference single-copy gene for albumin to adjust for different amounts of DNA in samples. DNA from each participant was measured in quadruplicate and the mean of four telomere threshold cycle values and the mean of four albumin threshold cycle values were calculated. Unsuccessful samples were analysed again until valid measurements were available in 99.9% of participants. Of these, a telomere length measurement was obtained after the first analysis in 98.4%, whereas 1.1% of samples were rerun once and 0.5% were rerun twice. The absolute telomere length was derived after calibration with measurement on K562 cell line DNA, included in each plate.
The following information was collected from the questionnaires at inclusion in the studies: age at examination, gender, number of years in school as well as information on smoking habits, occupational exposure to dust and fumes (yes/no) and dyspnoea. Participants were classified as never smokers, former smokers or current smokers. For former smokers and current smokers, pack-years of cigarettes or equivalent smoking were calculated and information on inhalation was noted as yes/no. One pack-year corresponds to one pack of 20 cigarettes or equivalent smoked for a year. The severity of dyspnoea was graded from 0 to 4 according to the modified Medical Research Council Dyspnoea Scale.20 Questionnaires were completed and reviewed by an examiner on the day of examination. Height and weight were registered on the day of examination. Body mass index was calculated as the measured weight divided by the square of the measured height and categorised according to the WHO classification into body mass index <18.5 kg/m2, 18.5–24.9 kg/m2, 25–29.9 kg/m2 and ≥30 kg/m2. The number of years in school were categorised as <8 years, 8–11 years and >11 years. For logistic regression analysis, C-reactive protein levels were categorised according to lowest, middle and highest tertiles but used on a continuous scale in other analyses.
The association between telomere length continuously with age and between telomere length quartiles and lung function was assessed by general linear models while the association with COPD was assessed by logistic regression. Multivariable models were adjusted for age, gender, body mass index, smoking status, smoking inhalation, cumulative smoking in pack-years, occupational exposure to dust and fumes, years in school, plasma C-reactive protein levels, grade of dyspnoea and study. Covariates were more than 99.5% complete; missing values were imputed according to age, gender and smoking status. For trend tests, individuals were categorised according to telomere length quartiles coded 1–4 with the first quartile consisting of individuals with the longest telomere lengths. We tested interaction by using a likelihood ratio test that compared the main effects model with a model also including a two-factor interaction term. Stata V.12.0 was used for all analyses.
Figure 1 shows the decrease in telomere length on a continuous scale with increasing age in the 46 396 participants from the general population (p<1×10−300). Decreasing telomere length in quartiles was associated with increased age, male gender, increased body mass index, former smoking status, smoking inhalation, increased cumulative smoking, increased occupational exposure to dust and fumes, <8 years in school and with increased C-reactive protein levels (table 1). Table 2 shows the association between telomere length on a continuous scale and covariates individually and in combination. The strongest associations with telomere length in the multivariable analysis were found for age, gender, cumulative smoking in pack-years and body mass index.
Decreasing telomere length in quartiles was associated with decreased FEV1% predicted (p trend: p=5×10−51), decreased FVC % predicted (p=5×10−35) and with decreased FEV1/FVC (p=6×10−137) (figure 2). FEV1% predicted was 97% in the first quartile, 96% in the second, 95% in the third and 94% in the fourth quartile of telomere length. Corresponding values for FVC % predicted were 99%, 98%, 98% and 97%, and for FEV1/FVC 0.78, 0.78 0.77, and 0.76, respectively. The association between decreased telomere length and decreased lung function was attenuated after age adjustment (p trend: p=5×10−16 for FEV1% predicted; p=1×10−12 for FVC % predicted; p=5×10−5 for FEV1/FVC) and even further after multivariable adjustment for age, gender, body mass index, smoking status, smoking inhalation, cumulative smoking, occupational exposure to dust and fumes, years in school, C-reactive protein levels, grade of dyspnoea and study (p trend: p =1×10−6, p=4×10−5 and p=0.07, respectively).
Similar patterns were seen when analysing telomere length as a continuous variable (ie, change in lung function per 1000 base pair decrease in telomere length; figure 3). Stratified analyses of the change in unadjusted FEV1/FVC per 1000 base pair decrease in telomere length showed a decrease in all strata (figure 4). FEV1/FVC decreased slightly more in women than in men, in individuals aged ≥60 years than in those aged <60 years of age and in former and current smokers than in never smokers.
A total of 6770 participants (15%) had an FEV1/FVC < 0.70. Among these, 2922 (43%) were classified as GOLD stage I, 3026 (45%) as GOLD stage II and 822 (12%) as GOLD stages III–IV. A total of 5136 participants (11%) met the criteria for COPD by FEV1/FVC below LLN. Table S1 in the online supplement shows the baseline characteristics of participants according to these COPD criteria.
Figure 5 shows the unadjusted, age adjusted and multivariable adjusted logistic regression analyses of the association between decreasing telomere length in quartiles and COPD risk according to the GOLD criteria and FEV1/FVC below LLN. In the unadjusted analyses, the OR of COPD increased with decreasing telomere length quartiles (p trend: p=7×10−92 for GOLD criteria; p=8×10−44 for FEV1/FVC below LLN). In the unadjusted analyses, OR for the shortest versus the longest telomere quartiles was 2.06 (95% CI 1.91 to 2.22) for GOLD criteria and 1.73 (1.60 to 1.88) for FEV1/FVC below LLN. The association was markedly attenuated when analyses were adjusted for age or multivariable adjusted for age, gender, body mass index, smoking status, smoking inhalation, cumulative smoking, occupational exposure to dust and fumes, years in school, C-reactive protein levels, grade of dyspnoea and study. In the multivariable models the OR for the shortest versus longest telomere quartiles was 1.15 (95% CI 1.06 to 1.25) for GOLD criteria and 1.19 (95% CI 1.09 to 1.30) for FEV1/FVC below LLN. Trend tests across quartiles after multivariable adjustment yielded p values of 0.001 and 6×10−5, respectively, for GOLD criteria and FEV1/FVC below LLN.
Per 1000 base pairs decrease in telomere length, the multivariable adjusted OR was 1.07 (95% CI 1.03 to 1.10) for GOLD criteria and 1.07 (1.03 to 1.11) for FEV1/FVC below LLN (figure 6). We stratified according to gender, age, smoking status and cumulative smoking in multivariable adjusted models and did not find evidence of an interaction between age, smoking status or cumulative smoking and decreasing telomere length on risk of COPD classified as GOLD or as FEV1/FVC below LLN. For GOLD we found a p value for test of interaction of 0.01 for men compared with women (required p value after Bonferroni correction <0.05/4=0.013). However, the corresponding p value for FEV1/FVC below LLN was 0.75.
The results from the two studies separately are shown in tables S2–S5 and figures S1–S4 in the online supplement. The two studies showed similar results for all analyses. We repeated all analyses excluding individuals where a telomere length measurement had been obtained after a rerun of the blood sample. These sensitivity analyses did not change any of the main results or conclusions (data not shown).
The most important and novel finding from this observational study of a large sample of the Danish general population is that, although short telomere length is associated with reduced lung function and with an increased risk of COPD, these associations are attenuated markedly after age and multivariable adjustment. However, even after multivariable adjustment, a decrease in telomere length of 1000 base pairs was associated with a 1.07-fold risk of COPD by GOLD criteria as well as by FEV1/FVC below LLN. Nevertheless, we cannot totally exclude that this remaining association could simply be a result of residual confounding. These results demonstrate an effect, albeit small, of an independent association between reduced telomere length and the risk of lung disease. It could be argued that telomere length is a marker of premature ageing and, as such, a mechanism by which other factors such as age, gender and smoking act. Therefore, telomere length could remain of interest even if not independently associated with lung function or risk of COPD.
The biological mechanism behind the finding of an association between decreased telomere length and decreased lung function and increased risk of COPD could be accelerated cell turnover in individuals with COPD, caused by inflammation and oxidative stress induced by inhalation of factors such as nitrogen dioxide, ozone, gasoline and diesel exhaust and tobacco smoke. Another hypothesis is that ageing and exposure to cigarette smoke entail lymphocyte senescence which increase susceptibility to infection and eventually lead to the chronic inflammation characteristic of COPD.21 COPD may also be associated with a genetic predisposition to shorter telomere length due to decreased telomerase activity, a theory supported by findings of shorter telomere length and lower telomerase activity in cultured pulmonary cells from patients with COPD compared with control subjects.22 ,23 Also, in a recent study Alder et al24 examined telomerase null mice with short telomeres and found that short telomere length could be a sign of genetic disposition to emphysema by increasing susceptibility to cigarette smoke-induced lung damage. Taken together, it is biologically plausible that short telomere length is associated with reduced lung function and an increased risk of COPD; however, the precise mechanism is unknown.
Our results are supported by previous findings of an association between telomere length and lung function and risk of COPD.25–29 Published studies have mainly been case–control studies of 26–283 COPD cases and 20–155 control subjects. In our cohort of 6770 individuals with COPD we found a 1.15-fold increased risk of COPD for individuals with the shortest telomere lengths compared with those with the longest telomere lengths. To contrast this with previous findings, Savale et al25 compared 50 COPD patients with 50 matched control subjects and found a 28-fold increased risk of COPD for individuals with short telomere length compared with individuals with long telomere length. Two other small case–control studies were unable to show an association between telomere length and lung function but found an association between smoking exposure and telomere length.26 ,27 Mui et al28 also demonstrated an association between telomere length and lung function, but this study included COPD cases only. Overall, the results of previous studies support the notion that short telomere length is associated with decreased lung function and hence the risk of COPD. The present study of a very large sample from a general population suggests that the association is more moderate than previously reported in smaller case–control studies.
A strength of our study is the large cohort with telomere length measurement and spirometry data from 46 396 individuals from the Danish general population. Also, importantly, we used two different classifications of COPD, examining 6770 individuals classified as COPD by GOLD criteria and 5136 by FEV1/FVC below LLN, and found similar results for the two COPD classifications. In addition, we combined data from two independent studies to obtain additional power, but the fact that these studies showed comparable results individually for the association between short telomeres and decreased lung function and increased risk of COPD adds additional credibility to the present study. Finally, the very strong association between decreasing telomere length and increasing age demonstrates the quality of our telomere length measurement.
One limitation of our study is that we cannot exclude the presence of residual confounding, despite the fact that we have included potential confounders such as age, gender, body mass index, smoking status, smoking inhalation, cumulative smoking, occupational exposure to dust and fumes, educational level, C-reactive protein levels and dyspnoea. Another limitation is that we did not have information on 6-min walking distance and therefore were not able to adjust for the entire Body mass index, airway Obstruction, Dyspnoea, and Exercise capacity (BODE) Index.30 Nevertheless, we did adjust for the three most important factors—namely, lung function, body mass index and grade of dyspnoea. The finding that the association was only moderate could also be explained by an underrepresentation of the most severe cases of COPD in our population, which may have underestimated the association between short telomere length and risk of COPD in this present study. Finally, as we studied white subjects only, our results may not necessarily apply to other races.
In conclusion, short telomere length is associated with decreased lung function and with increased risk of COPD, according to the GOLD classification as well as according to FEV1/FVC below LLN. However, the association seems to be only moderate and our results stress the importance of adjusting for age and other confounders when examining the association between COPD and short telomeres. Whether telomere shortening per se increases risk of COPD is still an unresolved question and should be examined in a study designed to evaluate the causal direction of the association.
We thank laboratory technician Anja Jochumsen for assisting with the telomere measurements. The authors are indebted to the staff and participants in the Copenhagen General Population Study and the Copenhagen City Heart Study.
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Files in this Data Supplement:
- Data supplement 1 - Online supplement
Contributors LR, SEB and BGN initiated the study. LR performed statistical analyses supervised by SEB, JV and BGN. All authors analysed and interpreted the results. BGN, MW and SEB collected data. LR drafted the manuscript which was scrutinised by the other authors, all of whom accepted the final submitted manuscript.
Funding This study was financially supported by Chief Physician Johan Boserup and Lise Boserup's Foundation, the Copenhagen County Foundation, Herlev Hospital, Copenhagen University Hospital and the Danish Heart Foundation.
Competing interests None.
Patient consent Written informed consent was obtained from all participants.
Ethics approval Ethical approval was obtained from Herlev Hospital and Danish ethics committees (H-KF01-144/01 and KF100.2039/91).
Provenance and peer review Not commissioned; internally peer reviewed.
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