Lung function trajectory and biomarkers in the Tasmanian Longitudinal Health Study.
ERJ Open Res
; 7(3)2021 Jul.
Article
em En
| MEDLINE
| ID: mdl-34527727
ABSTRACT
BACKGROUND AND OBJECTIVE:
Different lung function trajectories through life can lead to COPD in adulthood. This study investigated whether circulating levels of biomarkers can differentiate those with accelerated (AD) from normal decline (ND) trajectories.METHODS:
The Tasmanian Longitudinal Health Study (TAHS) is a general population study that measured spirometry and followed up participants from ages 7 to 53â years. Based on their forced expiratory volume in 1â s (FEV1) trajectories from age 7 to 53â years, this analysis included those with COPD at age 53â years (60 with AD and 94 with ND) and controls (n=720) defined as never-smokers with an average FEV1 trajectory. Circulating levels of selected biomarkers determined at 53 and 45â years of age were compared between trajectories.RESULTS:
Results showed that CC16 levels (an anti-inflammatory protein) were lower and C-reactive protein (CRP) (a pro-inflammatory marker) higher in the AD than in the ND trajectory. Higher CC16 levels were associated with a decreased risk of belonging to the AD trajectory (OR=0.79 (0.63-0.98) per unit increase) relative to ND trajectory. Higher CRP levels were associated with an increased risk of belonging to the AD trajectory (OR=1.07, 95% CI 1.00-1.13, per unit increase). Levels of CC16 (area under the curve (AUC)=0.69, 95% CI 0.56-0.81, p=0.002), CRP (AUC=0.63, 95% CI 0.53-0.72, p=0.01) and the combination of both (AUC=0.72, 95% CI 0.60-0.83, p<0.001) were able to discriminate between the AD and ND trajectories. Other quantified biomarkers (interleukin (IL)-4, IL-5, IL-6, IL-10 and tumour necrosis factor-α (TNF-α)) were not significantly different between AD, ND and controls.CONCLUSIONS:
Circulating levels of CRP and CC16 measured in late adulthood identify different lung function trajectories (AD versus ND) leading to COPD at age 53â years.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article