Yu-Hui Liu

Epigenetic-Metabolic interplay in chronic kidney disease mortality: insights from grimage acceleration and transcriptomic profiling

Xiangyun Dang, Zhongxin Jin, Yafeng Zhao, Yu Wang et autres

BACKGROUND: Chronic kidney disease (CKD) is associated with a substantially elevated risk of mortality. Although GrimAge acceleration (GAA) and metabolic syndrome (MetS) are both implicated in this risk, their combined impact and the underlying biological mechanisms remain poorly understood. METHODS: This study …

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Evidence Supporting the Use of Optically Pure S ‐(+)‐Indoxacarb: Discovery and Toxicokinetic Characterization of Two New Pairs of Metabolite Enantiomers in Rats

Jiao Ai, Jianxin Li, Alan K. Chang, Yu-Hui Liu et autres

Indoxacarb is a typical chiral pesticide composed of two enantiomers, of which only S-(+)-indoxacarb exhibits strong insecticidal activity. Growing interest in its enantioselective toxicology and metabolites has highlighted the need for more data on mammalian metabolism to assess human health risks. In …

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Differential impact of overt and subclinical hypothyroidism on severe postpartum hemorrhage: a retrospective cohort study

Chenning Liu, Yujiao Fu, Yu-Hui Liu, Li Tang et autres

Background The impact of hypothyroidism, which can be divided into overt hypothyroidism and subclinical hypothyroidism, on severe postpartum hemorrhage (SPPH) remains unknown. Methods A total of 34,303 pregnant women from the Third Affiliated Hospital of Guangzhou Medical University between 2016 and 2020 …

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Advances in Selective Bioactivity and Toxicity of Chiral Triazole Fungicides and Their Selective Behavior in Mammals

Nan Wang, Yu-Hui Liu, Jianxin Li, Liuping Xu et autres

As one of the most widely used fungicides in global agriculture, chiral triazole fungicides play a crucial role in crop protection due to their broad-spectrum efficacy. However, the environmental problems caused by their widespread use are becoming increasingly prominent. These problems not …

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Comparing respiratory-triggered T2WI MRI with an artificial intelligence-assisted technique and motion-suppressed respiratory-triggered T2WI in abdominal imaging

Nan Wang, Yu-Hui Liu, Jiangnan Ran, Qi An et autres

Background: Magnetic resonance imaging (MRI) plays a crucial role in the diagnosis of abdominal conditions. A comprehensive assessment, especially of the liver, requires multi-planar T2-weighted sequences. To mitigate the effect of respiratory motion on image quality, the combination of acquisition and reconstruction …

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Cataract Aggravates Alzheimer-Like Pathologies and Cognitive Deficits in an APP/PS1 Mouse Model

Geng Zhao, Yu Zhong-Yuan, Jun Tan, Xuan-Yue Wang et autres

Clinical investigations have suggested a potential link between cataracts and Alzheimer's disease (AD). However, whether cataract has an impact on the progression of AD remains unclear. The objective of this research was to determine the relationship between cataracts and AD. A cataract …

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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation

M. Xiao, Y M Li, Lin Lv, Yu-Hui Liu et autres

BACKGROUND: Acute kidney injury (AKI) frequently occurs in critically ill patients with coronary heart disease (CHD), and its development markedly elevates mortality rates and prolongs hospitalization duration. Early AKI prediction is crucial for timely intervention and amelioration of patient outcomes. OBJECTIVE: This …

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Buyang Huanwu Decoction stabilizes atherosclerotic vulnerable plaques by regulating intestinal flora, TLR4-NF-κB-NLRP3 inflammatory pathway and mitophagy

Yuting Li, Hong-Yang Zhu, Zhixian He, Yu You et autres

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Evaluation of the Safety of Fenbuconazole Monomers via Enantioselective Toxicokinetics, Molecular Docking and Enantiomer Conversion Analyses

Kai Liu, Haoran Li, Alan K. Chang, Ying Pei et autres

Fenbuconazole, a chiral triazole fungicide, is produced and used as a racemate. Previous toxicological research on fenbuconazole in nontarget organisms primarily used the racemate, necessitating an investigation into each enantiomer’s distribution and elimination for safety assessment. In this study, the absolute configurations …

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SSRAAI: Learning Sequence and Structural Representations to Predict Antibody-Antigen Interactions

Songhui Rao, Ting Yan, Yu-Hui Liu, Xinyun Li et autres

The specific binding between antibodies (Ab) and antigens (Ag) is crucial for developing drugs and vaccines to treat major diseases. Therefore, accurate identification of antibody-antigen interactions (AAI) is crucial for a comprehensive understanding of antibody therapeutic mechanisms. While wet-lab methods accurately characterize …

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Fingolimod ameliorates amyloid deposition and neurodegeneration in APP/PS1 mouse model of Alzheimer's disease

Mengting Wang, Zicheng Hu, Yang Xiang, Xiaoqin Zeng et autres

INTRODUCTION: The immune system plays a critical role in regulating amyloid-beta (Aβ) metabolism in Alzheimer's Disease (AD). Both T and B lymphocytes are involved in the pathogenesis of AD. The sphingosine-1-phosphate (S1P) receptor modulator fingolimod used in the treatment of multiple sclerosis, …

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Phenotypic alterations in peripheral blood B Lymphocytes of patients with Alzheimer's Disease

Mengting Wang, Ye‐Ran Wang, Gui‐Hua Zeng, Xiaoqin Zeng et autres

INTRODUCTION: Dysfunction of humoral immunity has been implicated in the pathogenesis of Alzheimer's disease (AD). The distribution of B lymphocyte subsets and their clinical relevance in AD remain unclear. OBJECTIVE: In this study, we aimed to investigate the distribution of peripheral blood …

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