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L'essentiel de la littérature réçente en Pneumologie

Dans cette rubrique on vous propose une revue de la littérature à travers une sélection d'abstracts d'articles originaux.
On essaiera de vous tenir informé des dernières nouveautés de recherche en matière de Pneumologie. On ne vous fournit que le résumé de l'article et le lien correspondant, pour accéder à l'article en full text vous devez être inscrits à la revue correspondante.
Cliquez ici pour consulter la liste des revues de Pneumologie disponibles en libre accès.

Trade-offs in aging lung diseases: a review on shared but opposite genetic risk variants in idiopathic pulmonary fibrosis, lung cancer and chronic obstructive pulmonary disease Imprimer Envoyer
Jeudi, 05 Avril 2018 06:52
imagePurpose of review The process of aging involves biological changes that increases susceptibility for disease. In the aging lung disease IPF, GWAS studies identified genes associated with risk for disease. Recently, several of these genes were also found to be involved in risk for COPD or lung cancer. This review describes GWAS-derived risk genes for IPF that overlap with risk genes for lung cancer or COPD. Recent findings Risk genes that overlap between aging lung diseases, include FAM13A, DSP and TERT. Most interestingly, disease predisposing alleles for IPF are opposite to those for COPD or lung cancer. Studies show that the alleles are associated with differential gene expression and with physiological traits in the general population. The opposite allelic effect sizes suggest the presence of trade-offs in the aging lung. For TERT, the trade-off involves cellular senescence versus proliferation and repair. For FAM13A and DSP, trade-offs may involve protection from noxious gases or tissue integrity. Summary The overlap in risk genes in aging lung diseases provides evidence that processes associated with FAM13A, DSP and TERT are important for healthy aging. The opposite effect size of the disease risk alleles may represent trade-offs, for which a model involving an apicobasal gene expression gradient is presented.
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Big asthma data: getting bigger and more beautiful? Imprimer Envoyer
Jeudi, 05 Avril 2018 06:51

‘Big data’ is on trend and the term is used in equal measure to reflect both one of the greatest challenges and likeliest solutions to future scientific advances from fundamental understanding in astrophysics, climate change, economics, health and disease.1 Like many trends, it means different things to different people. In medicine, it is used to describe the data derived from large populations in epidemiology studies, high fidelity multiscale ‘omic datasets across spatial scales within individuals or sometimes a combination of the two. Big data will often capture information at a single time point. Typically, it does not address temporal scales of chronic disease including day-to-day variability, response to perturbations such as intercurrent infection, decompensation of the disease or response to therapeutic interventions and is rarely obtained over a life course. Observations will therefore always be limited by what is measured, when and in whom and will only...

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Exacerbation risk and characterisation of the UKs asthma population from infants to old age Imprimer Envoyer
Jeudi, 05 Avril 2018 06:50

Few studies have examined the characteristics of a general asthma population; most have focused on more severe patients or severe exacerbations.


This population-based cohort study, from April 2007 to September 2015, used linked primary and secondary care electronic healthcare records (Clinical Practice Research Datalink, Hospital Episode Statistics). Characteristics of four age cohorts, ‘Under 5s’, ‘5 to 17s’, ‘18 to 54s’, ‘55+’, were described. Exacerbation risk factors, including asthma severity (measured by the British Thoracic Society (BTS) stepwise approach), were assessed using Poisson regression.


424 326 patients with current asthma were eligible (n, median follow-up: ‘Under 5s’=17 320, 1 year; ‘5 to 17s’=82 707, 3.3 years; ‘18 to 54s’=210 724, 4 years; ‘55+’=113 575, 5.1 years). Over 60% of the total study population had mild asthma (BTS steps 1/2). There were differences between the cohort’s characteristics, including by gender, disease severity and exacerbation pattern. The rate of exacerbations was highest in the oldest cohort and lowest in the ‘5 to 17s’ cohort (rate per 10 person-years (95% CI), ‘Under 5s’=4.27 (4.18 to 4.38), ‘5 to 17s’=1.48 (1.47 to 1.50), ‘18 to 54s’=3.22 (3.21 to 3.24), ‘55+’=9.40 (9.37 to 9.42)). In all cohorts, exacerbation rates increased with increasing asthma severity, after adjusting for confounders including gender, socioeconomic status, smoking, body mass index, atopy, rhinitis, gastro-oesophageal reflux, anxiety, depression and COPD.


The majority of UK patients with asthma had mild asthma and did not experience an exacerbation during follow-up. Patients aged ≥55 years had the lowest proportion with mild asthma and highest rate of exacerbations; the opposite was found in patients aged between 5 and 18 years.

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