Hui M. Ying

Shanghai, China

Last Updated: 09/26/2026

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Found 19 publications

The association between GLP-1R expression and cardiovascular-kidney-metabolic-related diseases in non-diabetic and non-obese population: evidence triangulation using Mendelian randomization, observational and polygenic score association analysis.

The association between GLP-1R expression and cardiovascular-kidney-metabolic-related diseases in non-diabetic and non-obese population: evidence triangulation using Mendelian randomization, observational and polygenic score association analysis.

Journal: BMC medicine
Published: October 20, 2025

PDGFRα+DPP4+ Fibroblasts-Macrophage Crosstalk Induces Orbital Fibrosis in Treatment-Resistant Thyroid Eye Disease via the GAS6-AXL Pathway.

PDGFRα+DPP4+ Fibroblasts-Macrophage Crosstalk Induces Orbital Fibrosis in Treatment-Resistant Thyroid Eye Disease via the GAS6-AXL Pathway.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published: June 19, 2025

Integrating Single-Cell Transcriptome-Wide Mendelian Randomization and Differentially Expressed Gene Analyses to Prioritize Dynamic Immune-Related Drug Targets for Cancers.

Integrating Single-Cell Transcriptome-Wide Mendelian Randomization and Differentially Expressed Gene Analyses to Prioritize Dynamic Immune-Related Drug Targets for Cancers.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published: May 05, 2025

Single-cell transcriptome-wide Mendelian randomization and colocalization reveals immune-mediated regulatory mechanisms and drug targets for COVID-19.

Single-cell transcriptome-wide Mendelian randomization and colocalization reveals immune-mediated regulatory mechanisms and drug targets for COVID-19.

Journal: EBioMedicine
Published: August 20, 2024

The Effect of SGLT2 Inhibition on Brain-related Phenotypes and Aging: A Drug Target Mendelian Randomization Study.

The Effect of SGLT2 Inhibition on Brain-related Phenotypes and Aging: A Drug Target Mendelian Randomization Study.

Journal: The Journal of clinical endocrinology and metabolism
Published: June 15, 2024

Silencing DDX3 Attenuates Interleukin-1β-Induced Intervertebral Disc Degeneration Through Inhibiting Pyroptosis.

Silencing DDX3 Attenuates Interleukin-1β-Induced Intervertebral Disc Degeneration Through Inhibiting Pyroptosis.

Journal: Inflammation
Published: February 26, 2024

Transcriptome-wide Mendelian randomization during CD4+ T cell activation reveals immune-related drug targets for cardiometabolic diseases.

Transcriptome-wide Mendelian randomization during CD4+ T cell activation reveals immune-related drug targets for cardiometabolic diseases.

Journal: Nature communications
Published: October 29, 2023

Metabolism and senescence in the immune microenvironment of osteosarcoma: focus on new therapeutic strategies.

Metabolism and senescence in the immune microenvironment of osteosarcoma: focus on new therapeutic strategies.

Journal: Frontiers in endocrinology
Published: May 05, 2023

Using multiple indicators to predict the risk of surgical site infection after ORIF of tibia fractures: a machine learning based study.

Using multiple indicators to predict the risk of surgical site infection after ORIF of tibia fractures: a machine learning based study.

Journal: Frontiers in cellular and infection microbiology
Published: April 15, 2023

Integrated multi-omics reveals the activated retinal microglia with intracellular metabolic reprogramming contributes to inflammation in STZ-induced early diabetic retinopathy.

Integrated multi-omics reveals the activated retinal microglia with intracellular metabolic reprogramming contributes to inflammation in STZ-induced early diabetic retinopathy.

Journal: Frontiers in immunology
Published: June 03, 2022

Automated machine learning-based model for the prediction of delirium in patients after surgery for degenerative spinal disease.

Automated machine learning-based model for the prediction of delirium in patients after surgery for degenerative spinal disease.

Journal: CNS neuroscience & therapeutics
Published: May 11, 2022

Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning-Based Study.

Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning-Based Study.

Journal: World neurosurgery
Published: February 12, 2022
Showing 1-12 of 19

Last Updated: 09/26/2026