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Actas Dermosifiliogr
January 2025
Eli Lilly and Company, Madrid, Spain. Electronic address:
Atopic dermatitis (AD) is a chronic, inflammatory skin disease affecting all age groups, particularly children. This systematic review provides an overview of the humanistic and economic disease burden in the pediatric population with AD in Spain. The evidence, collected from 11 observational studies published over the past 10 years, exhibits the most common characteristics of the patients, disease burden, patient-reported outcomes, use of resources, and treatment patterns.
View Article and Find Full Text PDFUltra-Fast Moisture Sensor for Respiratory Cycle Monitoring and Non-Contact Sensing Applications.
Adv Mater
January 2025
Henry Royce Institute and Photon Science Institute, Department of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
As human-machine interface hardware advances, better sensors are required to detect signals from different stimuli. Among numerous technologies, humidity sensors are critical for applications across different sectors, including environmental monitoring, food production, agriculture, and healthcare. Current humidity sensors rely on materials that absorb moisture, which can take some time to equilibrate with the surrounding environment, thus slowing their temporal response and limiting their applications.
View Article and Find Full Text PDFIntroduction: The spread of the SARS-CoV-2 virus, which caused Coronavirus Disease 2019 (COVID-19), led to a global pandemic and public health crisis, which affected the physical health and mental well-being of Americans in every part of the country. Although the effect of the pandemic was ubiquitous, it has been more extensively studied in urban areas, which leads to an underscoring of the burden of COVID-19 in rural US. Health disparities adversely affect children in rural communities, each of which is unique and requires interventions based on regional needs.
View Article and Find Full Text PDFIntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFExplore Alteration of Lung and Gut Microbiota in a Murine Model of OVA-Induced Asthma Treated by CpG Oligodeoxynucleotides.
J Inflamm Res
January 2025
Department of Geriatric Respiratory and Critical Care, The First Affiliated Hospital of Anhui Medical University, Anhui Geriatric Institute, Hefei, Anhui, People's Republic of China.
Aim: We sought to investigate the impact of CpG oligodeoxynucleotides (CpG-ODN) administration on the lung and gut microbiota in asthmatic mice, specifically focusing on changes in composition, diversity, and abundance, and to elucidate the microbial mechanisms underlying the therapeutic effects of CpG-ODN and identify potential beneficial bacteria indicative of its efficacy.
Methods: HE staining were used to analyze inflammation in lung, colon and small intestine tissues. High-throughput sequencing technology targeting 16S rRNA was employed to analyze the composition, diversity, and correlation of microbiome in the lung, colon and small intestine of control, model and CpG-ODN administration groups.
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