Background: Chronic obstructive pulmonary disease (COPD) is a respiratory disorder with a complex etiology involving genetic and environmental factors. The dysbiosis of gut microbiota has been implicated in COPD. Mendelian Randomization (MR) provides a tool to investigate causal links using genetic variants as instrumental variables. This study aims to employ MR analysis to explore the causal relationship between gut microbiota, lung function, and COPD.
Methods: We utilized genome-wide association study (GWAS) data from MiBioGen, UK Biobank and FinnGen, which were related to gut microbial taxa, lung function parameters including forced vital capacity in one second (FEV), forced vital capacity (FVC), and percentage of predicted FEV (FEV%pred), as well as GWAS data for COPD. MR analysis was conducted to assess the causal effects of gut microbiota on lung function and the risk of COPD. Sensitivity analysis was utilized to examine the stability of the causal relationships. Multiple testing and reverse analysis were employed to evaluate the robustness of these relationships.
Results: Using the IVW method, 64 causal correlations were identified. Through conducting sensitivity analysis, multiple testing, and reverse analysis, we identified 14 robust and stable causal relationships. The bacterial taxa that showed a positive association with lung function included , Erysipelotrichales, Desulfovibrionales, Clostridiales, and , while Selenomonadales and showed a negative association with lung function. The abundance of were positively correlated with the risk of COPD, while exhibited a negative correlation with the risk of COPD.
Conclusion: Several microbial taxa were discovered to have a positive causal correlation with lung function, offering potential insights into the development of probiotics. The presence of microbial taxa negatively correlated with lung function and positively correlated with COPD emphasized the potential impact of gut microbiota dysbiosis on respiratory health.
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http://dx.doi.org/10.2147/COPD.S441242 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
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Division of Neonatology, Montreal Children's Hospital, McGill University Health Center, Montreal, Quebec, Canada.
Purpose Of Review: This review outlines the prevalence and complications of apneas and intermittent hypoxemic events in preterm infants, examines current monitoring limitations in neonatal ICUs (NICUs), and explores emerging technologies addressing these challenges.
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Cochrane Database Syst Rev
January 2025
Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
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View Article and Find Full Text PDFJ Thorac Dis
December 2024
Department of Respiratory and Critical Care Medicine, Jiangxi Provincial Key Laboratory of Respiratory Diseases, Jiangxi Institute of Respiratory Diseases, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
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View Article and Find Full Text PDFJ Thorac Dis
December 2024
Department of Physical Therapy Science, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Background: Lung cancer represents a significant global health concern and constitutes the primary cause of cancer-related mortality. Complete surgical resection with curative intent remains the most efficacious treatment modality for improving the survival rate of patients with localized lung cancer. Average life expectancy has increased in many countries, and the number of older patients undergoing surgery has increased.
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