The long-acting inhaled bronchodilators available for use in chronic obstructive pulmonary disease (COPD) vary in their pharmacological class (β2-adrenergic agonist or antimuscarinic/anticholinergic, alone or combined), durations of action and speed of onset of bronchodilator effect. In the early stages of development of a maintenance bronchodilator, the goals are to identify a molecule with the theoretically 'ideal' profile of fast onset and prolonged duration of action in comparison with existing agents, while minimizing non-specific activity at organs outside the lungs. The move towards increasing duration of bronchodilator action is generally paralleled by improved effects on clinical outcomes, and the advent of more potent agents seems likely to provide an opportunity to reduce overreliance on the use of inhaled corticosteroids in treating COPD. In terms of onset of action, an immediately perceived benefit in reducing dyspnea, although not definitively demonstrated, might prove useful in increasing adherence, which is very poor among patients with COPD. Once-daily administration may also be helpful in this respect. Shared decision-making between patient and physician in the choice of treatment is important in optimizing adherence and, thus, treatment effectiveness.
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http://dx.doi.org/10.1016/j.pupt.2015.02.007 | DOI Listing |
Bioinformatics
January 2025
Biocomputing Group, University of Bologna, Italy.
Motivation: The knowledge of protein stability upon residue variation is an important step for functional protein design and for understanding how protein variants can promote disease onset. Computational methods are important to complement experimental approaches and allow a fast screening of large datasets of variations.
Results: In this work we present DDGemb, a novel method combining protein language model embeddings and transformer architectures to predict protein ΔΔG upon both single- and multi-point variations.
Int Immunopharmacol
January 2025
Background: Rheumatoid arthritis (RA) is an autoimmune disease of unknown etiology. This study aims to explore the potential mechanisms by which solute carrier family 7 member 11 (SLC7A11) influences RA development.
Methods: Collagen-induced arthritis (CIA) mice were constructed to observe disease onset and pathological scores.
Sensors (Basel)
December 2024
TDA Research Inc., Golden, CO 80403, USA.
Here we describe the synthesis and evaluation of a molecular corrosion sensor that can be applied in situ in aerospace coatings, then used to detect corrosion after the coating has been applied. A pH-sensitive molecule, 4-mercaptopyridin (4-MP), is attached to a gold nanoparticle to allow surface-enhanced Raman-scattering (SERS) for signal amplification. These SERS nanoparticles, when combined with an appropriate micron-sized carrier system, are incorporated directly into an MIL-SPEC coating and used to monitor the process onset and progression of corrosion using pH changes occurring at the metal-coating interface.
View Article and Find Full Text PDFNutrients
December 2024
Department of Biomedical Sciences, College of Medicine and Biological Science, University of Suceava, 720229 Suceava, Romania.
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major contributor to liver-related morbidity, cardiovascular disease, and metabolic complications. Lifestyle interventions, including diet and exercise, are first line in treating MASLD. Dietary approaches such as the low-glycemic-index Mediterranean diet, the ketogenic diet, intermittent fasting, and high fiber diets have demonstrated potential in addressing the metabolic dysfunction underlying this condition.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Family Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
: The prevalence of diabetes is increasing worldwide, particularly in the Pacific Ocean island nations. Although machine learning (ML) models and data mining approaches have been applied to diabetes research, there was no study utilizing ML models to predict diabetes incidence in Taiwan. We aimed to predict the onset of diabetes in order to raise health awareness, thereby promoting any necessary lifestyle modifications and help mitigate disease burden.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!