Publications by authors named "Le-Qiang Peng"
Article Synopsis
- Hemorrhagic events lead to numerous deaths globally, creating a demand for effective hemostatic drugs; BSCE, derived from the orchid plant, shows promise in treating bleeding mice but needs further investigation for non-traumatic bleeding.
- In a study with 40 rats, BSCE was administered to assess its impact on various health metrics, including red blood cell count and lung tissue pathology, compared to a control group and a positive treatment group.
- Results indicated BSCE improved body weight, red blood cell levels, and lung tissue condition while positively influencing coagulation parameters and revealing potential biological pathways for hemostatic action via network pharmacology and molecular docking analysis.
Article Synopsis
- Rheumatoid arthritis (RA) is an autoimmune disease that causes inflammation leading to joint damage and disability, and this study aims to identify potential biomarkers and immune mechanisms for early diagnosis using machine learning and bioinformatics.
- Researchers analyzed public gene data, focusing on differentially expressed genes (DEGs) and applied functional enrichment analysis, utilizing various machine learning methods to narrow down key biomarkers associated with RA.
- 79 DEGs were identified, leading to the selection of 12 hub genes across multiple machine learning techniques, which were further validated for their expression and diagnostic significance in RA.
