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Exploring potential multiple molecular biomarkers that predict treatment response in patients with lupus nephritis.
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December 2024
Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, 222-1 Wangsimni-ro, Seongdong-Gu, Seoul, 04763, Korea.
Limited knowledge exists regarding biomarkers that predict treatment response in Lupus nephritis (LN). We aimed to identify potential molecular biomarkers to predict treatment response in patients with LN. We enrolled 66 patients with active LN who underwent renal biopsy upon enrollment.
View Article and Find Full Text PDFMXene-based composite photocatalysts for efficient degradation of antibiotics in wastewater.
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December 2024
Department of Nano-Chemical Engineering, Faculty of Advanced Technologies, Shiraz University, Shiraz, Iran.
MXene-based (nano)materials have recently emerged as promising solutions for antibiotic photodegradation from aquatic environments, yet they are limited by scalability, stability, and selectivity challenges in practical settings. We formulated FeO-SiO/MXene ternary nano-photocomposites via coupled wet impregnation and sonochemistry approach for optimised tetracycline (TC) removal (the second most used antibiotic worldwide) from water using response surface methodology-central composite design (RSM-CCD). The photocatalysts containing various loading of FeO/SiO (5-45 wt%) on the MXene with a range of calcination temperatures (300-600 °C) via RSM optimisation were synthesised, characterised regarding crystallinity properties, surface morphology, binding energy, and light absorption capability, and analysed for TC degradation efficiency.
View Article and Find Full Text PDFResolvin D1 combined with exercise rehabilitation alleviates neurological injury in mice with intracranial hemorrhage via the BDNF/TrkB/PI3K/AKT pathway.
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December 2024
School of Basic Medicine, Dali University, Dali, 671003, Yunnan, China.
Resolvin D1 (RvD1) is an endogenous anti-inflammatory mediator that modulates the inflammatory response and promotes inflammation resolution. RvD1 has demonstrated neuroprotective effects in various central nervous system contexts; however, its role in the pathophysiological processes of intracerebral hemorrhage (ICH) and the potential protective mechanisms when combined with exercise rehabilitation remain unclear. A mouse model of ICH was established using collagenase, and treatment with RvD1 combined with three weeks of exercise rehabilitation significantly improved neurological deficits, muscle strength, learning, and memory in ICH mice while reducing anxiety-like behavior.
View Article and Find Full Text PDFAssociation between the ratio of serum uric acid to high-density lipoprotein cholesterol and liver fat content: evidence from a Chinese health examination dataset.
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December 2024
Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, 450003, China.
Despite numerous studies investigating the correlation between the serum uric acid and high-density lipoprotein cholesterol ratio (UHR) and fatty liver disease, the evidence for the dose-response relationship between UHR and liver fat content (LFC) remains uncertain. This study employs quantitative computed tomography (CT) to quantify LFC and aims to investigate the correlation and dose-response relationship between UHR levels and LFC in Chinese adults. Based on the health check-up data from 2021 at Henan Provincial People's Hospital, China, the objective of this cross-sectional study was to investigate the association between UHR levels and LFC among individuals of different genders.
View Article and Find Full Text PDFApplication of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization.
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December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
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