A simple method based on rocket and crossed immunoelectrophoresis was adapted for detection of alpha 1 AT-HNE complexes in BALF: Agarose gel with anti-alpha 1 AT combined with intermediate gel containing anti-HNE was used for detection and evaluation of the ratio of complexes with HNE to the free form of alpha 1 AT. BALF samples from 31 patients divided into 5 groups suffering from various respiratory tract diseases were tested. It was found that 3 out of 8 patients with inflammatory pulmonary diseases showed the presence of both forms of alpha 1 AT, 7 out of 13 patients suffering from cancer showed both forms, whereas the complexed form was not detected in any of 8 patients with asthma bronchiale. It is suggested that the presence of alpha 1 AT-HNE complex may reflect, to some extent, the proteolytic status of pulmonary tissue.

Download full-text PDF

Source

Publication Analysis

Top Keywords

pulmonary diseases
8
alpha at-hne
8
patients
5
alpha-1-antitrypsin alpha-1-antitrypsin-neutrophil
4
alpha-1-antitrypsin-neutrophil elastase
4
elastase complex
4
complex bronchoalveolar
4
bronchoalveolar lavage
4
lavage fluid
4
fluid patients
4

Similar Publications

Background: Real-world COVID-19 vaccine effectiveness (VE) studies are investigating exposures of increasing complexity accounting for time since vaccination. These studies require methods that adjust for the confounding that arises when morbidities and demographics are associated with vaccination and the risk of outcome events. Methods based on propensity scores (PS) are well-suited to this when the exposure is dichotomous, but present challenges when the exposure is multinomial.

View Article and Find Full Text PDF

Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies.

J Med Internet Res

January 2025

Unitat de Recerca i Innovació, Gerència d'Atenció Primària i a la Comunitat de la Catalunya Central, Institut Català de la Salut, Sant Fruitós de Bages, Spain.

Background: The COVID-19 pandemic reshaped social dynamics, fostering reliance on social media for information, connection, and collective sense-making. Understanding how citizens navigate a global health crisis in varying cultural and economic contexts is crucial for effective crisis communication.

Objective: This study examines the evolution of citizen collective sense-making during the COVID-19 pandemic by analyzing social media discourse across Italy, the United Kingdom, and Egypt, representing diverse economic and cultural contexts.

View Article and Find Full Text PDF

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.

J Med Internet Res

January 2025

Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.

View Article and Find Full Text PDF

Background: Telemedicine is transforming health care by enabling remote diagnosis, consultation, and treatment. Despite rapid adoption during the COVID-19 pandemic, telemedicine uptake among health care professionals (HCPs) remains inconsistent due to perceived risks and lack of tailored policies. Existing studies focus on patient perspectives or general adoption factors, neglecting the complex interplay of contextual variables and trust constructs influencing HCPs' telemedicine adoption.

View Article and Find Full Text PDF

Metastasis stands as one of the most prominent prognostic factors in osteosarcoma. Over 70% of metastatic osteosarcoma occurrences affect the lung. Nonetheless, to date, there has been a scarcity of research addressing predictive factors for lung metastasis risk in osteosarcoma.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!