Deciphering key nano-bio interface descriptors to predict nanoparticle-induced lung fibrosis.

Background: The advancement of nanotechnology underscores the imperative need for establishing in silico predictive models to assess safety, particularly in the context of chronic respiratory afflictions such as lung fibrosis, a pathogenic transformation that is irreversible. While the compilation of predictive descriptors is pivotal for in silico model development, key features specifically tailored for predicting lung fibrosis remain elusive. This study aimed to uncover the essential predictive descriptors governing nanoparticle-induced pulmonary fibrosis.

Coronas of micro/nano plastics: a key determinant in their risk assessments.

As an emerging pollutant in the life cycle of plastic products, micro/nanoplastics (M/NPs) are increasingly being released into the natural environment. Substantial concerns have been raised regarding the environmental and health impacts of M/NPs. Although diverse M/NPs have been detected in natural environment, most of them display two similar features, i.

Azithromycin modulates release of steroid-insensitive cytokines from peripheral blood mononuclear cells of patients with chronic obstructive pulmonary disease.

Introduction: Oxidative stress reduces responsiveness of peripheral blood mononuclear cells (PBMCs) from patients with chronic obstructive pulmonary disease (COPD) to the anti-inflammatory effects of glucocorticoids (GCs). Azithromycin was shown to modulate corticosteroid resistance mechanisms in COPD patients. However, its ability to enhance anti-inflammatory properties of GCs on the production of cytokines by PBMCs has not well been elucidated.