Siyu Han
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View article: Integrative Metabolomics of Targeted and Non-Targeted Analyses in T2D Progression
Integrative Metabolomics of Targeted and Non-Targeted Analyses in T2D Progression Open
OBJECTIVE This study aimed to identify metabolites characterizing the progression from normal glucose metabolism (NORM) to prediabetes (PreT2D) and type 2 diabetes (T2D), focusing on stage-specific metabolic shifts (early: NORM to PreT2D; …
View article: Towards Trustworthy AI Writing: A collaborative system of Writing Agents and Verification Agents
Towards Trustworthy AI Writing: A collaborative system of Writing Agents and Verification Agents Open
View article: Association between early-life respiratory syncytial virus infection and the risk of asthma: a meta-analysis
Association between early-life respiratory syncytial virus infection and the risk of asthma: a meta-analysis Open
Early-life RSV-LRTI is associated with an increased risk of asthma compared to children without early-life LRTI. However, RSV does not appear to confer a higher risk of asthma than non-RSV LRTI in early life.
View article: SIRT3-activating, biodegradable poly-honokiol with high drug loading for thoracic aortic dissection therapy
SIRT3-activating, biodegradable poly-honokiol with high drug loading for thoracic aortic dissection therapy Open
Collectively, these findings demonstrate that poly-honokiol is a potent preventive candidate for TAD, offering both high drug-loading efficiency and targeted mitochondrial protection.
View article: When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective
When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective Open
Neuro-symbolic (Nesy) learning improves the target task performance of models by enabling them to satisfy knowledge, while semi/self-supervised learning (SSL) improves the target task performance by designing unsupervised pretext tasks for…
View article: HuangE Capsules Improve Bladder Function in BOO-induced Overactive Bladder Rats: Network Pharmacology and Experimental Validation
HuangE Capsules Improve Bladder Function in BOO-induced Overactive Bladder Rats: Network Pharmacology and Experimental Validation Open
Aims: Our objective is to assess the therapeutic impact of HEC on OAB rats and investigate potential mechanisms. Background: Overactive bladder (OAB) is a syndrome of urinary storage symptoms characterized by "urinary urgency with or witho…
View article: LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer
LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer Open
Longitudinal multi-view omics data offer unique insights into the temporal dynamics of individual-level physiology, which provides opportunities to advance personalized healthcare. However, the common occurrence of incomplete views makes e…
View article: Multi-Manifolds fusing hyperbolic graph network balanced by pareto optimization for identifying spatial domains of spatial transcriptomics
Multi-Manifolds fusing hyperbolic graph network balanced by pareto optimization for identifying spatial domains of spatial transcriptomics Open
Identifying spatial domains for spatial transcriptomics is crucial for achieving comprehensive insights into the pathogenesis of gene expression. Increasingly, computational methods based on graph neural networks are being developed for sp…
View article: A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception
A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception Open
Abductive learning (ABL) that integrates strengths of machine learning and logical reasoning to improve the learning generalization, has been recently shown effective. However, its efficiency is affected by the transition between numerical…
View article: Correction: Advancing solar-driven redox processes: pyrene-based covalent organic frameworks for efficient environmental remediation and H<sub>2</sub>O<sub>2</sub> production
Correction: Advancing solar-driven redox processes: pyrene-based covalent organic frameworks for efficient environmental remediation and H<sub>2</sub>O<sub>2</sub> production Open
Correction for ‘Advancing solar-driven redox processes: pyrene-based covalent organic frameworks for efficient environmental remediation and H 2 O 2 production’ by Yaxuan Zheng et al. , Green Chem. , 2025, 27 , 9254–9267, https://doi.org/1…
View article: Deep Learning-Enhanced Wear-Resistant and Antimicrobial Polyurea-Based Composite Ionogels for Real-Time Firefighter Motion Tracking in Extreme Environments
Deep Learning-Enhanced Wear-Resistant and Antimicrobial Polyurea-Based Composite Ionogels for Real-Time Firefighter Motion Tracking in Extreme Environments Open
View article: Ferroptosis: A prospective therapeutic target for radiotherapy- and chemotherapy-induced gastrointestinal inflammation
Ferroptosis: A prospective therapeutic target for radiotherapy- and chemotherapy-induced gastrointestinal inflammation Open
Ferroptosis is a unique mode of cell death driven by iron-dependent lipid peroxidation, and the process is regulated by a variety of cellular metabolic pathways, including redox homeostasis, iron processing, and lipid metabolism. It has be…
View article: Seismic Response and Collapse Analysis of a Transmission Tower Structure: Assessing the Impact of the Damage Accumulation Effect
Seismic Response and Collapse Analysis of a Transmission Tower Structure: Assessing the Impact of the Damage Accumulation Effect Open
This paper delves into the impact of the damage accumulation effect, which leads to the degradation of material strength and stiffness, on the seismic resistance of transmission towers. Building upon the elastic–plastic finite element theo…
View article: Bidirectional modulation of TCA cycle metabolites and anaplerosis by metformin and its combination with SGLT2i
Bidirectional modulation of TCA cycle metabolites and anaplerosis by metformin and its combination with SGLT2i Open
View article: Elevation Shapes Soil Microbial Diversity and Carbon Cycling in Platycladus orientalis Plantations
Elevation Shapes Soil Microbial Diversity and Carbon Cycling in Platycladus orientalis Plantations Open
Diversified soil microbiomes are the key drivers of carbon fixation and plant residue decomposition in forest ecosystems. Revealing the elevation patterns of soil microbial carbon cycling in forests is essential for utilization of forest e…
View article: Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function
Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function Open
Accurate risk prediction for myocardial infarction (MI) is crucial for preventive strategies, given its significant impact on global mortality and morbidity. Here, we propose a novel deep-learning approach to enhance the prediction of inci…
View article: Metabolic effects of SGLT2i and metformin on 3-hydroxybutyric acid and lactate in db/db mice
Metabolic effects of SGLT2i and metformin on 3-hydroxybutyric acid and lactate in db/db mice Open
Combining a Sodium-Glucose-Cotransporter-2-inhibitor (SGLT2i) with metformin is recommended for managing hyperglycemia in patients with type 2 diabetes (T2D) who have cardio-renal complications. Our study aimed to investigate the metabolic…
View article: Employing deep learning in non‐parametric inverse visualization of elastic–plastic mechanisms in dual‐phase steels
Employing deep learning in non‐parametric inverse visualization of elastic–plastic mechanisms in dual‐phase steels Open
Enhancing the interpretability of machine learning methods for predicting material properties is a key, yet complex topic in materials science. This study proposes an interpretable convolutional neural network (CNN) to establish the relati…
View article: Bidirectional modulation of TCA cycle metabolites and anaplerosis by metformin and its combination with SGLT2i
Bidirectional modulation of TCA cycle metabolites and anaplerosis by metformin and its combination with SGLT2i Open
Background Metformin and sodium-glucose-cotransporter-2 inhibitor (SGLT2i) are cornerstone therapies for managing hyperglycemia in diabetes, yet their nuanced impacts on metabolic processes, particularly in the citric acid (TCA) cycle and …
View article: The Effect of Direct Aging Treatment on Microstructure and Mechanical Properties of the Gh4099 Superalloys Produced by Selective Laser Melting
The Effect of Direct Aging Treatment on Microstructure and Mechanical Properties of the Gh4099 Superalloys Produced by Selective Laser Melting Open
View article: Fitting-Free Mechanical Response Prediction in Dual-Phase Steels by Crystal Plasticity Theory Guided Deep Learning
Fitting-Free Mechanical Response Prediction in Dual-Phase Steels by Crystal Plasticity Theory Guided Deep Learning Open
View article: Dha Plays a Protective Role in Cerebral Ischemia-Reperfusion Injury by Affecting Macrophage/Microglia Type Polarization
Dha Plays a Protective Role in Cerebral Ischemia-Reperfusion Injury by Affecting Macrophage/Microglia Type Polarization Open
View article: LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer
LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer Open
Longitudinal multi-view omics data offer unique insights into the temporal dynamics of individual-level physiology, which provides opportunities to advance personalized healthcare. However, the common occurrence of incomplete views makes e…
View article: Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts
Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts Open
Background Metabolic Syndrome (MetS) is characterized by risk factors such as abdominal obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), hypertension, and hyperglycemia, which contribute to the development o…
View article: Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review
Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review Open
Chronic obstructive pulmonary disease (COPD) is a common heterogeneous respiratory disease which is characterized by persistent and incompletely reversible airflow limitation. Due to the heterogeneity and phenotypic complexity of COPD, tra…
View article: Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts
Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts Open
Background Metabolic syndrome (MetS) consists of risk factors (abdominal obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL–C), hypertension, hyperglycemia) for cardiovascular disease and type 2 diabetes. Here, we…
View article: Additional file 1 of Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts
Additional file 1 of Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts Open
Additional file 1: Table S1. Metabolite quantification and normalization in KORA F4. The table presents metabolite abbreviations, analyte classes, and biochemical names of 163 metabolites in columns first to third. Detecting rate of each m…
View article: LPInsider: a webserver for lncRNA–protein interaction extraction from the literature
LPInsider: a webserver for lncRNA–protein interaction extraction from the literature Open
View article: Clinical value of metagenomic next-generation sequencing in complicated infectious diseases.
Clinical value of metagenomic next-generation sequencing in complicated infectious diseases. Open
Infectious diseases are commonly seen in clinical practice, and pathogen diagnosis is the key link in diagnosis and treatment; however, conventional pathogen detection methods cannot meet clinical needs due to time-consuming operation and …
View article: TIGER: technical variation elimination for metabolomics data using ensemble learning architecture
TIGER: technical variation elimination for metabolomics data using ensemble learning architecture Open
Large metabolomics datasets inevitably contain unwanted technical variations which can obscure meaningful biological signals and affect how this information is applied to personalized healthcare. Many methods have been developed to handle …