Publications by authors named "Hong-Jie Pan"
In the past ten years, the application of artificial intelligence (AI) in biomedicine has increased rapidly, which roots in the rapid growth of biomedicine data, the improvement of computing performance, and the development of deep learning methods. At present, there are great difficulties in front of AI for solving complex and comprehensive medical problems. Ontology can play an important role in how to make machines have stronger intelligence and has wider applications in the medical field.
View Article and Find Full Text PDFIn the past ten years, the application of artificial intelligence (AI) in biomedicine has increased rapidly, which roots in the rapid growth of biomedicine data, the improvement of computing performance, and the development of deep learning methods. At present, there are great difficulties in front of AI for solving complex and comprehensive medical problems. Ontology can play an important role in how to make machines have stronger intelligence and has wider applications in the medical field.
View Article and Find Full Text PDFArticle Synopsis
- Excessive androgen exposure in pregnant women is linked to diabetic traits in their children, suggesting a potential epigenetic effect passed from mother to child.
- A study analyzed women with high androgen levels during pregnancy and followed up with their children, finding increased fasting glucose and insulin levels in those offspring.
- Both human and rat models indicated that maternal hyperandrogenism affects the expression of specific genes related to glucose metabolism, which may contribute to the development of diabetes in later life.
Down-regulation of S100A11, a calcium-binding protein, in human endometrium may cause reproductive failure.
J Clin Endocrinol Metab
October 2012
Background: Low expression levels of S100A11 proteins were demonstrated in the placental villous tissue of patients with early pregnancy loss, and S100A11 is a Ca2+-binding protein that interprets the calcium fluctuations and elicits various cellular responses.
Objectives: The objective of the study was to determine S100A11 expression in human endometrium and its roles in endometrial receptivity and embryo implantation.
Methods: S100A11 expression in human endometrium was analyzed using quantitative RT-PCR, Western blot, and immunohistochemical techniques.