Publications by authors named "Y U Chen"

Ferroptosis is a novel type of programmed cell death dependent on iron and is characterized by the accumulation of lipid peroxides, which is involved in acute lung injury (ALI). Brazilin, an organic compound known for its potent antioxidant and anti-inflammatory properties, has not been thoroughly studied for its potential impact on lipopolysaccharide (LPS)-induced ALI. Here, we found that pretreatment of brazilin mitigated LPS-induced lung injury and inflammation by inhibiting mitochondrial oxidative stress and ferroptosis, both in vivo and in vitro.

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Photochromic films have attracted increasing attention for their potential in information storage and photoswitchable devices. Developing novel photochromic materials is still a highly challenging topic. In this work, we successfully obtained an unprecedented mixed-heteroatom-templated Er-incorporated polyoxometalate [HN(CH)]NaKH{Er(HO)WO[SeTeWO][B-α-TeWO]}·117HO () by concurrently introducing the [TeO] and [SeO] heteroanion templates into the Er/WO system.

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Background: The impact of pre-infection vaccination on the risk of long COVID remains unclear in the pediatric population. We aim to assess the effectiveness of BNT162b2 on long COVID risks with various strains of the SARS-CoV-2 virus in children and adolescents, using comparative effectiveness methods. We further explore if such pre-infection vaccination can mitigate the risk of long COVID beyond its established protective benefits against SARS-CoV-2 infection using causal mediation analysis.

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Purpose: Intermittent hypoxia (IH), a defining feature of obstructive sleep apnea (OSA), is associated with heart damage and linked to transient receptor potential canonical channel 5 (TRPC5). Nonetheless, the function of TRPC5 in OSA-induced cardiac injury remains uncertain. For this research, we aimed to explore the role and potential mechanism of TRPC5 in cardiomyocyte injury induced by intermittent hypoxia.

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Background: This research utilized a combination of gene databases associated with ferroptosis and online gene expression data from ischemic stroke samples to pinpoint ferroptosis-related genes (FRGs) in ischemic stroke cases.

Methods: By employing Random Forest (RF) and Support Vector Machine (SVM) models based on these genes, an overlap of genes from both models was identified as "Hub" genes. Through consensus clustering analysis using Hub genes, two distinct clusters of FRGs were revealed in ischemic stroke samples.

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