Yinghao Ren

ORCID: 0000-0003-3483-5797
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About
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Research Areas
  • Invertebrate Immune Response Mechanisms
  • Neurobiology and Insect Physiology Research
  • Aquaculture disease management and microbiota
  • Liver Disease Diagnosis and Treatment
  • Genetic Associations and Epidemiology
  • IoT and Edge/Fog Computing
  • Biomarkers in Disease Mechanisms
  • Peroxisome Proliferator-Activated Receptors
  • Studies on Chitinases and Chitosanases
  • Insect symbiosis and bacterial influences
  • Opportunistic and Delay-Tolerant Networks
  • Systemic Lupus Erythematosus Research
  • Enzyme function and inhibition
  • RNA regulation and disease
  • Retinoids in leukemia and cellular processes
  • Physiological and biochemical adaptations
  • MicroRNA in disease regulation
  • Bioinformatics and Genomic Networks
  • Machine Learning in Bioinformatics
  • Modular Robots and Swarm Intelligence
  • Cytokine Signaling Pathways and Interactions

Fujian Medical University
2024-2025

South China Normal University
2019-2022

Key Laboratory of Guangdong Province
2019

University Town of Shenzhen
2016

Tsinghua University
2016

Multiple sclerosis (MS) is a prevalent neurological disorder with complex etiology, often associated thyroid function. However, the causal relationship between these two conditions remains poorly understood. This study aimed to elucidate function and MS using bidirectional Mendelian randomization (MR) approach investigate potential mediating role of immune cells. We conducted two-sample MR analysis summary statistics from large-scale genome-wide association studies (GWAS). included results...

10.1038/s41598-025-89888-z article EN cc-by-nc-nd Scientific Reports 2025-03-15

Background Systemic lupus erythematosus (SLE) is a complex autoimmune disease that has significant impacts on patients’ quality of life and poses substantial economic burden society. Objective This study aimed to elucidate the molecular mechanisms underlying SLE by analyzing glucocorticoid-related genes (GRGs) expression profiles. Methods We examined profiles GRGs in performed consensus clustering analysis identify stable patient clusters. also identified differentially expressed (DEGs)...

10.1371/journal.pone.0319737 article EN cc-by PLoS ONE 2025-03-25

Background Epilepsy stands as an intricate disorder of the central nervous system, subject to influence diverse risk factors and a significant genetic predisposition. Within pathogenesis temporal lobe epilepsy (TLE), apoptosis neurons glial cells in brain assumes pivotal importance. The identification differentially expressed apoptosis-related genes (DEARGs) emerges critical imperative, providing essential guidance for informed treatment decisions. Methods We obtained datasets related...

10.3389/fnmol.2024.1300348 article EN cc-by Frontiers in Molecular Neuroscience 2024-02-07
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