Glucuronidation by UGT1A1 Is the Dominant Pathway of the Metabolic Disposition of Belinostat in Liver Cancer Patients

10.1371/journal.pone.0054522PLoS ONE81

Shapley-Shubik Agents Within Superstructure-Based Recycling Model: Circular Economy Approaches for Fish Waste Eco-Industrial Park

Abstract The tremendous production of fish has resulted in an increased fish waste generation, which ultimately led to the current triple planetary crises on climate, biodiversity, and pollution. In this study, a Fish Waste-based Eco-Industrial Park (FWEIP) model is developed in an attempt to convert the linear economy in existing fish waste management into a circular economy model. Process Graph (P-graph) is used for combinatorial optimization to synthesize optimal FWEIP with the consideration of economic and environmental aspects. The model favors the production of biofuel using the gasification process (Rank 1) with a promising economic benefit of $2.28 million/y without proposing circular synergy within the FWEIP ecosystem. On the other hand, suboptimal solutions—suboptimal 1 (black soldier fly (BSF)) and suboptimal 2 (pyrolysis and gasification) solutions—exhibit gross profit of 17.98% and 24.12% lower than that of the optimal solution. Both suboptimal solutions offer greater circularity with self-sustaining resources (e.g., fish feed, chitosan, and energy). The sensitivity analysis indicates the potential debottlenecking of suboptimal 2 with the use of a catalyst to improve the conversion of bio-oil in the pyrolysis pathway and exhibits a gross profit of 22.54% higher than that of the optimal solution. Following the Shapley-Shubik power index analysis, the hydroponics facility is identified as the pivotal player for both optimal and suboptimal 2 cases with the exception of suboptimal 1 indicating both BSF and hydroponics as a pivotal player. In brief, this research provides the fish waste-based industry with insights and strategies for the implementation of a circular economy as a step toward sustainable development

There is detectable variation in the lipidomic profile between stable and progressive patients with idiopathic pulmonary fibrosis (IPF)

Background: Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease characterized by fibrosis and progressive loss of lung function. The pathophysiological pathways involved in IPF are not well understood. Abnormal lipid metabolism has been described in various other chronic lung diseases including asthma and chronic obstructive pulmonary disease (COPD). However, its potential role in IPF pathogenesis remains unclear. Methods: In this study, we used ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) to characterize lipid changes in plasma derived from IPF patients with stable and progressive disease. We further applied a data-independent acquisition (DIA) technique called SONAR, to improve the specificity of lipid identification. Results: Statistical modelling showed variable discrimination between the stable and progressive subjects, revealing differences in the detection of triglycerides (TG) and phosphatidylcholines (PC) between progressors and stable IPF groups, which was further confirmed by mass spectrometry imaging (MSI) in IPF tissue. Conclusion: This is the first study to characterise lipid metabolism between stable and progressive IPF, with results suggesting disparities in the circulating lipidome with disease progression.</p