| Literature DB >> 26355460 |
Alice Hadchouel1, Laetitia Marchand-Martin2, Marie-Laure Franco-Montoya3, Laetitia Peaudecerf4, Pierre-Yves Ancel5, Christophe Delacourt1.
Abstract
Preterm birth is associated with abnormal respiratory functions throughout life. The mechanisms underlying these long-term consequences are still unclear. Shortening of telomeres was associated with many conditions, such as chronic obstructive pulmonary disease. We aimed to search for an association between telomere length and lung function in adolescents born preterm. Lung function and telomere length were measured in 236 adolescents born preterm and 38 born full-term from the longitudinal EPIPAGE cohort. Associations between telomere length and spirometric indices were tested in univariate and multivariate models accounting for confounding factors in the study population. Airflows were significantly lower in adolescents born preterm than controls; forced expiratory volume in one second was 12% lower in the extremely preterm born group than controls (p<0.001). Lower birth weight, bronchopulmonary dysplasia and postnatal sepsis were significantly associated with lower airflow values. Gender was the only factor that was significantly associated with telomere length. Telomere length correlated with forced expiratory flow 25-75 in the extremely preterm adolescent group in univariate and multivariate analyses (p = 0.01 and p = 0.02, respectively). We evidenced an association between telomere length and abnormal airflow in a population of adolescents born extremely preterm. There was no evident association with perinatal events. This suggests other involved factors, such as a continuing airway oxidative stress leading to persistent inflammation and altered lung function, ultimately increasing susceptibility to chronic obstructive pulmonary disease.Entities:
Mesh:
Year: 2015 PMID: 26355460 PMCID: PMC4565668 DOI: 10.1371/journal.pone.0136123
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Epidemiological and clinical characteristics of the study population.
| 24–28 w PMA | 29–32 w PMA | 24–32 w PMA | 39–40 w PMA | |||||
|---|---|---|---|---|---|---|---|---|
| n = 75 | n = 161 | n = 236 | n = 38 | |||||
| Maternal age at delivery | ||||||||
| <25 years old | 7 | (10) | 18 | (11) | 25 | (10.8) | 5 | (13) |
| 25–34 years old | 45 | (62) | 108 | (68) | 153 | (65.9) | 28 | (74) |
| ≥ 35 years old | 20 | (28) | 34 | (21) | 54 | (23.3) | 5 | (13) |
| NA | 3 | 1 | 4 | 0 | ||||
| Ethnic origin | ||||||||
| Caucasian | 61 | (81) | 138 | (85) | 199 | (84.3) | 36 | (95) |
| African | 9 | (12) | 19 | (12) | 28 | (11.9) | 0 | (0) |
| Asian | 0 | (0) | 1 | (1) | 1 | (0.4) | 0 | (0) |
| Mixed | 5 | (7) | 3 | (2) | 8 | (3.4) | 2 | (5) |
| Maternal smoking during pregnancy | ||||||||
| No | 67 | (89) | 127 | (79) | 194 | (82.2) | 31 | (82) |
| Yes | 8 | (11) | 34 | (21) | 42 | (17.8) | 7 | (18) |
| Sex | ||||||||
| Male | 35 | (47) | 85 | (53) | 120 | (50.8) | 13 | (34) |
| Female | 40 | (53) | 76 | (47) | 116 | (49.2) | 25 | (66) |
| Birth weight Z-score | -0.24 [-0.96;0.64] | -0.74 [-1.90;0.22] | -0.57 [-1.59;0.46] | 0.41 [-0.33;0.88] | ||||
| BPD | ||||||||
| No | 48 | (64.0) | 150 | (93) | 198 | (84) | ||
| Yes | 27 | (36.0) | 11 | (7) | 38 | (16) | ||
Continuous variables are expressed as medians [IQR] and categorical variables as numbers (%).
NA: not available data
LFT and telomere length according to group of gestational age.
| 24–28 w PMA | 29–32 w PMA | 24–32 w PMA | 39–40 w PMA | ||||||
|---|---|---|---|---|---|---|---|---|---|
| n = 75 | n = 161 | n = 236 | n = 38 | Global p | |||||
| LFT | |||||||||
| Z-score FEV1 | 75 | -0.91 [-1.59;0.06] | 161 | -0.38 [-1.25;0.35] | 236 | -0.46 [-1.37;0.25] | 38 | 0.10 [-0.86;0.39] | 0.001 |
| <-1.64 (%) | 17 | (23) | 24 | (15) | 41 | (17.4) | 1 | (3) | 0.020 |
| <-1.96 (%) | 12 | (17) | 16 | (10) | 28 | (12.6) | 1 | (3) | 0.067 |
| Z-score FVC | 75 | -0.42 [-1.26;0.33] | 161 | -0.32 [-1.08;0.43] | 236 | -0.33 [-1.14;0.43] | 38 | -0.11 [-0.78;0.36] | 0.23 |
| Z-score FEV1/FVC | 75 | -0.52 [-1.33;0.34] | 161 | -0.30 [-1.05;0.85] | 236 | -0.31 [-1.10;0.70] | 38 | 0.04 [-0.70;1.12] | 0.067 |
| <-1.64 (%) | 12 | (16) | 18 | (11) | 30 | (13) | 0 | (0) | 0.036 |
| <-1.96 (%) | 8 | (11) | 12 | (8) | 20 | (9) | 0 | (0) | 0.11 |
| Z-score FEF25-75 | 75 | -0.80 [-1.51;-0.09] | 161 | -0.33 [-1.08;0.46] | 236 | -0.49 [-1.33;0.26] | 38 | 0.16 [-0.66;0.90] | < .001 |
| Z-score<-1.64 (%) | 15 | (20) | 28 | (17) | 43 | (18) | 0 | (0) | 0.014 |
| Z-score<-1.96 (%) | 9 | (13) | 19 | (12) | 28 | (13) | 0 | (0) | 0.067 |
| FEF50 (% predicted) | 75 | 89.5 [76.2;104.7] | 161 | 98.5 [79.9;118.7] | 236 | 95.5 [78.8;113.8] | 38 | 105.9 [90.8;125.9] | 0.001 |
| Telomere length | 75 | 0.99 [0.77;1.16] | 161 | 0.95 [0.8;1.14] | 236 | 0.97 [0.79;1.15] | 38 | 0.9 [0.8;1.2] | 0.68 |
Continuous variables are shown as medians [IQR] and categorical variables are shown as numbers (%).
*Comparison between the 24–28 wPMA, 29–32 wPMA and 39–40 wPMA groups with chi-square test or Kruskal-Wallis test, as appropriate.
†Compared to the normal control group (Z-score ≥ -1.64)
Telomere length and perinatal history among ex-preterm adolescents.
| n = 236 | Telomere length | p | |
|---|---|---|---|
| Median [IQR] | |||
|
| |||
| <25 years old | 25 | 0.94 [0.77;1.15] | 0.97 |
| 25–34 years old | 153 | 0.95 [0.79;1.13] | |
| ≥ 35 years old | 54 | 0.99 [0.82;1.13] | |
|
| |||
| Caucasian | 199 | 0.95 [0.78;1.14] | 0.25 |
| African | 28 | 0.99 [0.88;1.18] | |
| Asian | 1 | 0.73 [0.73;0.73] | |
| Mixed | 8 | 1.12 [0.89;1.33] | |
|
| |||
| No | 194 | 0.97 [0.78;1.13] | 0.77 |
| <10 cigarettes | 30 | 0.95 [0.80;1.16] | |
| ≥10 cigarettes | 12 | 0.96 [0.84;1.31] | |
|
| |||
| Yes | 21 | 1.07 [0.88;1.27] | 0.22 |
| No | 166 | 0.94 [0.78;1.12] | |
|
| |||
| Feeling very well or quite well | 165 | 0.95 [0.80;1.15] | 0.83 |
| Feeling quite bad or very bad | 34 | 1.02 [0.67;1.14] | |
|
| |||
| Male | 120 | 0.95 [0.74;1.08] | 0.015 |
| Female | 116 | 1.00 [0.82;1.26] | |
|
| |||
| 24–28 w PMA | 75 | 0.99 [0.77;1.16] | 0.55 |
| 29–32 w PMA | 161 | 0.95 [0.80;1.14] | |
|
| |||
| <1000gr | 64 | 1.06 [0.81;1.34] | 0.090 |
| [1000gr-1500gr[ | 95 | 0.93 [0.73;1.12] | |
| ≥1500gr | 77 | 0.95 [0.82;1.10] | |
|
| |||
| <-1.65 | 57 | 1.01 [0.78;1.16] | 0.73 |
| [-1.65;-0.58[ | 61 | 0.97 [0.86;1.12] | |
| [-0.58;0.48[ | 59 | 0.95 [0.71;1.13] | |
| > 0.48 | 59 | 0.95 [0.80;1.15] | |
|
| |||
| Yes | 71 | 0.95 [0.78;1.15] | 0.95 |
| No | 165 | 0.97 [0.80;1.15] | |
|
| |||
|
| 102 | 0.96 [0.74;1.12] | 0.44 |
|
| 129 | 0.98 [0.82;1.16] | |
|
| 67 | 0.95 [0.78;1.12] | 0.65 |
| Yes | |||
| No | 169 | 0.98 [0.80;1.16] | |
|
| 47 | 1.08 [0.82;1.21] | 0.26 |
| Yes | |||
| No | 180 | 0.95 [0.78;1.13] | |
|
| 11 | 0.88 [0.69;0.99] | 0.24 |
| Yes | |||
| No | 225 | 0.98 [0.79;1.15] | |
|
| 103 | 0.98 [0.80;1.15] | 0.37 |
| Yes | |||
| No | 124 | 0.92 [0.77;1.14] | |
|
| |||
| No | 198 | 0.95 [0.79;1.15] | 0.64 |
| Yes | 38 | 1.03 [0.74;1.16] | |
|
| |||
| No | 155 | 0.95 [0.80;1.12] | 0.45 |
| Yes | 79 | 0.98 [0.77;1.25] | |
|
| |||
| No | 229 | 0.97 [0.80;1.15] | 0.94 |
| Yes | 6 | 0.86 [0.73;1.51] |
w PMA: weeks of post-menstrual age; SGA: small for gestational age defined by a birth weight below the 10th percentile; HBP: high blood pressure; IUGR: intra-uterine growth retardation; GDM: gestational diabetes mellitus; PRM: premature rupture of membranes.
*Kruskal-Wallis test.
Telomere length and lung function parameters in ex-preterm adolescents.
| Telomere length | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 24–28 w PMA | 29–32 w PMA | 24–32 w PMA | |||||||
| N | Pearson's Rho | p | N | Pearson's Rho | p | N | Pearson's Rho | p | |
| Z-score FEV1 | 75 | 0.19 | 0.10 | 161 | 0.02 | 0.82 | 236 | 0.06 | 0.33 |
| Z-score FEV1/FVC | 75 | 0.08 | 0.47 | 161 | 0.10 | 0.22 | 236 | 0.09 | 0.19 |
| Z-score FEF25-75 | 75 | 0.29 | 0.011 | 161 | 0.04 | 0.58 | 236 | 0.11 | 0.09 |
| FEF50% predicted | 75 | 0.25 | 0.029 | 161 | -0.004 | 0.96 | 236 | 0.06 | 0.32 |
Telomere length and lung function parameters before and after adjustment for potential confounders.
| 24–28 w PMA | 29–32 w PMA | 24–32 w PMA | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | Coeff | p | N | Coeff | p | N | Coeff | p | |
| T/S ratio | Z-score FEV1 | ||||||||
| Crude | 75 | 0.07 (-0.01;0.15) | 0.11 | 161 | 0.01 (-0.06;0.07) | 0.82 | 236 | 0.03 (-0.03;0.08) | 0.33 |
| Adjusted | 74 | 0.08 (-0.01;0.17) | 0.09 | 160 | 0.02 (-0.05;0.08) | 0.62 | 234 | 0.04 (-0.01;0.09) | 0.11 |
| z-score FEV1/FVC | |||||||||
| Crude | 75 | 0.03 (-0.06;0.12) | 0.47 | 161 | 0.04 (-0.03;0.12) | 0.22 | 236 | 0.04 (-0.02;0.09) | 0.19 |
| Adjusted | 74 | 0.04 (-0.06;0.14) | 0.45 | 160 | 0.06 (-0.01;0.13) | 0.090 | 234 | 0.06 (0.00;0.11) | 0.039 |
| Z-score FEF25-75 | |||||||||
| Crude | 75 | 0.10 (0.02;0.17) | 0.011 | 161 | 0.02 (-0.05;0.09) | 0.58 | 236 | 0.04 (-0.01;0.09) | 0.094 |
| Adjusted | 74 | 0.09 (0.02;0.17) | 0.020 | 160 | 0.02 (-0.04;0.09) | 0.47 | 234 | 0.06 (0.01;0.11) | 0.030 |
| FEF50% predicted | |||||||||
| Crude | 75 | 1.8 (0.2;3.3) | 0.029 | 161 | -0.0 (-1.5;1.4) | 0.96 | 236 | 0.6 (-0.5;1.7) | 0.32 |
| Adjusted | 74 | 1.5 (-0.1;3.1) | 0.071 | 160 | 0.1 (-1.4;1.5) | 0.92 | 234 | 0.8 (-0.3;1.9) | 0.18 |
*Coefficient for an increase of 0.1 in telomere length
Adjustment for birth weight, BPD, sex, postnatal sepsis and maternal cigarette smoking during pregnancy