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Reliable data about the natural history of lung function decline in alpha-1 antitrypsin (AAT)-deficient Pi*MZ heterozygotes is largely missing. We hypothesized that, in adults with a tobacco smoking history, lung function deteriorates faster in Pi*MZ compared with the Pi*MM genotype. We identified 1,856 Pi*MM and 79 Pi*MZ participants with ⩾20 pack-years tobacco smoking history from the SPIROMICS (Subpopulations and Intermediate Outcomes Measures in COPD Study) cohort by DNA sequencing and followed them over a median of 4.8 years, comparing radiographic and clinical characteristics between the two groups over time using regression models. Adjusted for age, sex, race, smoking pack-year history, and smoking status, Pi*MZ participants had a lower baseline percent predicted forced expiratory volume in 1 second (FEV) (65.4% vs. 75.1%; difference 95% confidence interval [CI], -15.4% to -3.9%), more radiographic emphysema (<-950 Hounsfield units%, 12.9% vs. 7.8%; difference 95% CI, 2.8% to 7.5%), and nonsignificantly lower lung density. In the longitudinal analysis, the FEV annual rate of decline was similar in both groups over the course of the study (-34.5 ml/yr vs. -34.6 ml/yr for Pi*MZ and Pi*MM; difference 95% CI, -16.9 to 17.1 ml/yr). There were no significant differences between Pi*MZ and Pi*MM individuals in the annualized change in lung density, emphysema, patient-reported outcomes, exacerbations, or survival. The proportion with faster FEV decline (annual loss ⩾40 ml) was similar in Pi*MZ and Pi*MM groups. In both groups, faster FEV decline was associated with more air trapping and small airway disease at baseline. In Pi*MZ only, faster decline was associated with higher blood eosinophil counts (310 vs. 220 cells/μl; difference 95% CI, 30 to 140 cells/μl). In the subgroup analysis limited to a small number of currently smoking participants, no significant differences in longitudinal outcomes were found. Despite a lower FEV and more emphysema at enrollment, the longitudinal analysis did not demonstrate significantly greater lung function decline or lung density loss in Pi*MZ compared with Pi*MM participants with tobacco smoking history. Limited sample size and duration of longitudinal follow-up constrain generalizability of our findings, thus prohibiting the conclusion that longitudinal trajectories did not differ between these groups. However, our results may suggest that earlier life events could be responsible for more extensive lung disease at enrollment in Pi*MZ compared with Pi*MM tobacco-exposed individuals.
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http://dx.doi.org/10.1513/AnnalsATS.202411-1209OC | DOI Listing |
J Bras Pneumol
September 2025
. Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo (SP) Brasil.
Objective: To describe the sociodemographic and clinical characteristics of individuals exposed to smoking or biomass smoke and followed at primary health care (PHC) centers across three states in Brazil.
Methods: This was a cross-sectional multicenter study including patients followed at any of four PHC centers in Brazil. Patients ≥ 35 years of age who were smokers or former smokers, or were exposed to biomass smoke were included, the exception being those with physical/mental disabilities and those who were pregnant.
Nicotine Tob Res
September 2025
Health Outcomes & Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
Introduction: Evidence-based interventions to reduce tobacco-related morbidity and mortality are not widely or effectively implemented, thereby failing to equitably address disparities in tobacco-related health outcomes. Implementation science (IS) has the potential to advance the impact of tobacco control programs, but its use in this field has not been previously explored. To identify opportunities for expanding tobacco intervention impact, this scoping review investigated the use of IS tools in tobacco control research in the United States.
View Article and Find Full Text PDFCancer
September 2025
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Tobacco use is the primary contributor to disease and death in the United States, and cigarette smoking is the leading risk factor for lung cancer. Safe and effective treatments for tobacco dependence exist; however, access to and use of tobacco treatment remains low. The most recent Centers for Medicare and Medicaid Services National Coverage Determination requires a shared decision-making visit for lung cancer screening that includes counseling on the importance of maintaining cigarette smoking abstinence if a person formerly smoked; or the importance of smoking cessation if a person currently smokes and, if appropriate, furnishing of information about tobacco-cessation interventions.
View Article and Find Full Text PDFAm Heart J Plus
October 2025
Department of Medical Laboratory Science, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Introduction: Cigarette smoking is a well-recognized independent risk factor for numerous cardiovascular disorders and contributes to the increasing morbidity and mortality associated with chronic heart diseases (CHD). This study aimed to evaluate how cigarette smoking affects lipid metabolism and inflammatory processes, along with other related mechanisms, in order to better understand the potential cardiovascular risks faced by smokers.
Objectives: To evaluate and compare the serum lipid profile and high-sensitivity C-reactive protein levels between cigarette smokers and non-smokers.
Environ Epigenet
May 2025
Université Grenoble Alpes, INSERM U1209, CNRS UMR 5309, Institut pour l'Avancée des Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health, 38000 Grenoble, France.
An increasing number of epigenome-wide association studies report tobacco smoking-associated DNA methylation levels. However, comprehensive replication studies remain scarce, particularly in placenta, despite their crucial interest in such a large-scale context. Using DNA methylation data from the EPIC array of 341 new placentas (85 smokers, 219 non-smokers, and 37 former smokers) from the EDEN cohort, we used a candidate approach to replicate maternal smoking-associated CpGs and regions previously identified using the 450K array, and an exploratory approach to discover new associations within EPIC-specific CpGs.
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