To explore common patterns of interstitial lung disease (ILD) in symptomless patients with connective tissue disease (CTD), we applied factorial analysis to determine the relationship among the factors. A selected cohort of 71 non-smoking patients with a confirmed diagnosis of CTD [24 with primary Sjögren's syndrome (pSS), 21 with systemic sclerosis (SS), 20 with rheumatoid arthritis (RA) and six with polymyositis/ dermatomyositis (PM/DM)] were identified. The diagnostic techniques included pulmonary function tests, bronchoalveolar lavage (BAL), chest radiographs and high-resolution computed tomography (HRCT). Disease extent and severity were assessed by a radiological and HRCT grading system. Three factors, accounting for 67% of the total variance, were extracted. The first factor (disease duration, diffusing lung capacity, neutrophils and CD8+ T cells on BAL, radiographic score and HRCT reticular score), with the highest percentage of variance (36.5%), defines a fibrotic lung pattern. The second factor (17.9% of variance) identifies an inflammatory lung pattern (macrophages, lymphocytes and eosinophils on BAL and HRCT ground-glass score). The third factor (12.6% of variance) represents a ventilatory function pattern (forced vital capacity, total lung capacity and forced respiratory volume in 1 s). The negative correlation between the fibrotic lung pattern and ventilatory function pattern, but not with the inflammatory lung pattern, suggests the presence of a significant derangement of the alveolar structures. In conclusion, application of factor analysis reveals various lung disease patterns in patients with CTD that might have different prognostic implications.
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http://dx.doi.org/10.1007/s100670050008 | DOI Listing |
J Matern Fetal Neonatal Med
December 2025
Neonatal Intensive Care Unit, G d'Annunzio University of Chieti, Italy.
Background: Adrenomedullin (AM) is a potent angiogenic, antioxidant and anti-inflammatory peptide protecting the developing lung from injury due to bronchopulmonary dysplasia (BPD) of the preterm infant. At this stage, no data on the potential effects of chorioamnionitis (CA) occurrence and glucocorticoids (GC) administration on AM in developing lungs are still lacking.
Objective: to investigate, in a sheep-based model, the positive/side-effects of combined exposure to CA and GC on AM concentrations measured in bronchoalveolar lavage fluid (BALF).
Invest Radiol
January 2025
From the Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (A. Schwarz, A. Simon, A.M.); Siemens Healthineers AG, Forchheim, Germany (A. Schwarz, C.H., J.D., A. Simon); Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (F.K.W., S.G., M.S.); and Institut for Radiology, Pediatric and Neuroradiology, Helios Hospital, Schwerin, Germany (H.-J.R.).
Objective: Respiratory motion can affect image quality and thus affect the diagnostic accuracy of CT images by masking or mimicking relevant lung pathologies. CT examinations are often performed during deep inspiration and breath-hold to achieve optimal image quality. However, this can be challenging for certain patient groups, such as children, the elderly, or sedated patients.
View Article and Find Full Text PDFImmunohorizons
January 2025
Division of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States.
Influenza virus infects millions each year, contributing greatly to human morbidity and mortality. Upon viral infection, pathogen-associated molecular patterns activate pattern recognition receptors on host cells, triggering an immune response. The CD209 protein family, homologs of DC-SIGN (dendritic cell-specific intercellular adhesion molecule 3-grabbing nonintegrin), is thought to modulate immune responses to viruses.
View Article and Find Full Text PDFLancet Reg Health West Pac
January 2025
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Background: Existing studies have not provided robust evidence about the CVD risk of non-smoking patients with restrictive spirometric pattern (RSP) or airflow obstruction (AFO), and how the risk is modified by body shape. We aimed to bridge the gap.
Methods: We used never-smokers' data from the China Kadoorie Biobank (CKB) and performed Cox models by sex (278,953 females and 50,845 males).
Proceedings (IEEE Int Conf Bioinformatics Biomed)
December 2024
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Lung cancer remains a predominant cause of cancer-related deaths, with notable disparities in incidence and outcomes across racial and gender groups. This study addresses these disparities by developing a computational framework leveraging explainable artificial intelligence (XAI) to identify both patient- and cohort-specific biomarker genes in lung cancer. Specifically, we focus on two lung cancer subtypes, Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC), examining distinct racial and sex-specific cohorts: African American males (AAMs) and European American males (EAMs).
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