Dissecting metabolic landscape of alveolar macrophage.

The highly plastic nature of Alveolar Macrophage (AM) plays a crucial role in the defense against inhaled particulates and pathogens in the lungs. Depending on the signal, AM acquires either the classically activated M1 phenotype or the alternatively activated M2 phenotype. In this study, we investigate the metabolic shift in the activated phases of AM (M1 and M2 phases) by reconstructing context specific Genome-Scale Metabolic (GSM) models.

Fabrication of Luminescent Titanium Dioxide Nanoparticles in a Biocompatible Approach: Its Potential for Photodecomposition and Germicidal Effects.

The fabrication of the green strategy of metallic oxide creation provides considerable profits via a minimum of effort, making it an acceptable substitute to the most laborious and challenging conventional processes. The suggested approach involved the creation of titanium dioxide (TiO) nanoparticles through Orthosiphon stamineus extracts of leaves. The synthesized nanoparticles (NPs) were then characterized using XRD, FT-IR, FE-SEM with EDX, and UV-visible spectroscopy.

Exploring putative enteric methanogenesis inhibitors using molecular simulations and a graph neural network.

Atmospheric methane (CH) acts as a key contributor to global warming. As CH is a short-lived climate forcer (12 years atmospheric lifespan), its mitigation represents the most promising means to address climate change in the short term. Enteric CH (the biosynthesized CH from the rumen of ruminants) represents 5.

Inhibiting the cGAS-STING Pathway in Ulcerative Colitis with Programmable Micelles.

Ulcerative colitis is a chronic condition in which a dysregulated immune response contributes to the acute intestinal inflammation of the colon. Current clinical therapies often exhibit limited efficacy and undesirable side effects. Here, programmable nanomicelles were designed for colitis treatment and loaded with RU.

A multi-organ maize metabolic model connects temperature stress with energy production and reducing power generation.

Climate change has adversely affected maize productivity. Thereby, a holistic understanding of metabolic crosstalk among its organs is important to address this issue. Thus, we reconstructed the first multi-organ maize metabolic model, ZMA6517, and contextualized it with heat and cold stress transcriptomics data using expression distributed reaction flux measurement (EXTREAM) algorithm.