Mei Zhao

ORCID: 0009-0002-7155-0010
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About
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Research Areas
  • Gas Sensing Nanomaterials and Sensors
  • ZnO doping and properties
  • Cytokine Signaling Pathways and Interactions
  • Genetic Neurodegenerative Diseases
  • Cancer-related molecular mechanisms research
  • Magnesium Oxide Properties and Applications
  • Pharmacovigilance and Adverse Drug Reactions
  • Hemophilia Treatment and Research
  • Pharmaceutical studies and practices
  • Hormonal Regulation and Hypertension
  • Mitochondrial Function and Pathology
  • Silicon Carbide Semiconductor Technologies
  • Virus-based gene therapy research
  • Particle Detector Development and Performance
  • Copper-based nanomaterials and applications
  • Diabetes Treatment and Management
  • Fungal and yeast genetics research
  • Electronic and Structural Properties of Oxides
  • Atherosclerosis and Cardiovascular Diseases
  • Radiation Effects in Electronics
  • CAR-T cell therapy research

The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine
2025

Guangxi University of Chinese Medicine
2015-2025

Institute of Hematology & Blood Diseases Hospital
2025

Chinese Academy of Medical Sciences & Peking Union Medical College
2025

Institute of Science Tokyo
2024-2025

Peking University
2022

Peking University People's Hospital
2022

China Medical University
2020

Academia Sinica
2004

Hemophilia A, caused by a deficiency in factor VIII (F8), is promising target for gene therapy. This study aims to enhance the efficacy of adeno-associated virus serotype 8 (AAV8) vectors, specifically those encoding B-domain-deleted F8 (BDDF8), treat condition. We focused on improving therapeutic outcomes strategically deleting amino acids at furin cleavage site (RHQR), modification that crucial increasing expression and reducing capsid stress during vector packaging. Using computational...

10.1097/bs9.0000000000000217 article EN cc-by-nc-nd Blood Science 2025-01-01

Objective: This study aims to investigate the mechanisms underlying role of chromatin regulator-related genes (CRRGs) in coronary artery disease (CAD) and develop a diagnostic model for CAD. Methods: We downloaded CAD datasets from GEO database utilized R software machine learning, modeling, classification based on CRRGs. Results: The random forest was found be best approach, identifying USP44, MOCS1, SSRP1, ZNF516, SCML1 as top contributing diagnosis prevention. Differentially expressed...

10.2174/011871529x352182250207062210 article EN Cardiovascular & Haematological Disorders - Drug Targets 2025-02-18

Abstract Hydrogen (H 2 ) is increasingly employed in industrial applications, such as developing hydrogen fuel cells for vehicles and power plants. However, H explodes at a concentration limit of 4%, necessitating the development ultrasensitive sensors capable early‐stage detection leaks. In this study, nano‐patterned polycrystalline cupric oxide (CuO) nanowire array nanogap gas with voids are fabricated using electron‐beam lithography ex situ oxidization by annealing, which could detect 5...

10.1002/adfm.202415971 article EN cc-by Advanced Functional Materials 2024-11-05

Abstract The aim of this study is to explore the genomic mechanism early death in Huntington’s disease (HD). We identified 10160 and 1511 differentially expressed genes (DEGs) from comparisons HD versus control late death, respectively. On basis 922 overlapped DEGs among them, six functional modules were established by weight gene correlation network analysis. turquoise module most strongly related overall survival was significantly enriched GABAergic synapse, retrograde endocannabinoid...

10.21203/rs.3.rs-32034/v1 preprint EN cc-by Research Square (Research Square) 2020-06-04
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