Yujia Luo

ORCID: 0009-0005-9395-6646
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About
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Research Areas
  • Neonatal and Maternal Infections
  • Neonatal and fetal brain pathology
  • Sepsis Diagnosis and Treatment
  • Reproductive System and Pregnancy
  • Pregnancy and preeclampsia studies
  • Cancer-related molecular mechanisms research

Zhejiang University
2023-2025

Sir Run Run Shaw Hospital
2023-2025

Neutrophil extracellular traps (NETs) play a key role in the development of bronchopulmonary dysplasia (BPD), yet their molecular mechanisms contributing to BPD remain unexplored. Using GSE32472 dataset, which includes 100 blood samples from postnatal day 28, we conducted comprehensive bioinformatics analyses identify differentially expressed genes (DEGs) and construct gene modules. We identified 86 DEGs, were enriched immune inflammatory pathways, including NET formation. Weighted...

10.3390/ijms26073230 article EN International Journal of Molecular Sciences 2025-03-31

The disease neonatal sepsis (NS) poses a serious threat to life, and its pathogenesis remains unclear. Using the Gene Expression Omnibus (GEO) database, differentially expressed genes (DEGs) were identified functional enrichment analyses conducted. Three machine learning algorithms containing least absolute shrinkage selection operator (LASSO), support vector recursive feature elimination (SVM-RFE), random forest (RF) applied identify optimal (OFGs). This study conducted CIBERSORT present...

10.3390/biomedicines11071853 article EN cc-by Biomedicines 2023-06-28

Abstract Despite advancements in assisted reproductive technology, recurrent implantation failure (RIF) remains a challenge. Endometrial factors, including ferroptosis and immunity, may contribute to this issue. This study integrated bioinformatics analysis Mendelian randomization (MR) investigate the expression significance of DEFRGs RIF. We intersected 484 ferroptosis‐associated genes with 515 differentially expressed (DEGs) identify key DEFRGs. Subsequent analyses included enrichment...

10.1111/jcmm.70119 article EN cc-by Journal of Cellular and Molecular Medicine 2024-10-01

Sepsis is a life-threatening condition, especially in very low birth weight (VLBW) infants, and its pathogenesis remains unclear. Effective biomarkers need to be found diagnose treat the disease at an early stage. The Gene Expression Omnibus (GEO) database was screened analyzed for differentially expressed genes (DEGs) VLBW infants with sepsis. DEGs were then functional enrichment. A weighted gene co-expression network analysis (WCGNA) performed identify key modules genes. optimal feature...

10.17305/bb.2023.8966 article EN cc-by Biomolecules and Biomedicine 2023-05-02
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