6 results match your criteria: "Shanghai Shibei Hospital of Jing'an District[Affiliation]"
Characterization of N-methyladenosine long non-coding RNAs in sporadic congenital cataract and age-related cataract.
Int J Ophthalmol
November 2024
Department of Ophthalmology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Article Synopsis
- The study aimed to analyze the N-methyladenosine (mA) modification patterns in long non-coding RNAs (lncRNAs) related to sporadic congenital cataract (CC) and age-related cataract (ARC).* -
- Results showed a significantly higher number of mA peaks in lncRNAs from ARC patients compared to CC, with a total of 1305 hypermethylated lncRNAs identified in ARC versus CC, and differences noted between younger and older ARC patients.* -
- The findings provide new insights into the potential mechanisms behind CC and ARC, highlighting the role of altered lncRNAs in cellular organization and DNA repair processes.*
Selamectin increases cisplatin sensitivity by inhibiting cisplatin-resistant genes expression and autophagy in uveal melanoma.
Biochem Biophys Res Commun
June 2023
Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200025, China; Institute of Translational Medicine, National Facility for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address:
Article Synopsis
- Cisplatin resistance is a major challenge in treating uveal melanoma (UM), prompting the need for strategies to improve treatment effectiveness.
- The study identified the antiparasitic drug selamectin as a potential enhancer of cisplatin sensitivity through drug repositioning analysis and demonstrated that the combination of selamectin and cisplatin significantly inhibited UM cell growth in lab tests and in tumor-bearing mice.
- Selamectin was found to reduce autophagy and downregulate specific resistance-associated genes, suggesting it enhances cisplatin's effectiveness against UM, potentially offering a new treatment approach.
Artificial Intelligence Model for Antiinterference Cataract Automatic Diagnosis: A Diagnostic Accuracy Study.
Front Cell Dev Biol
July 2022
Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Cataract is the leading cause of blindness worldwide. In order to achieve large-scale cataract screening and remarkable performance, several studies have applied artificial intelligence (AI) to cataract detection based on fundus images. However, the fundus images they used are original from normal optical circumstances, which is less impractical due to the existence of poor-quality fundus images for inappropriate optical conditions in actual scenarios.
View Article and Find Full Text PDFExperimental investigation of early assessment of corpora cavernosa fibrosis with two-dimensional shear wave elastography.
Asian J Androl
April 2022
Department of Medical Ultrasound, Fudan University Pudong Medical Center, Shanghai 201399, China.
This study explored the usefulness of two-dimensional shear wave elastography (2D-SWE) in the early assessment of corpora cavernosa fibrosis (CCF). New Zealand male rabbits were randomly assigned to an experimental group or a control group. Recombinant human transforming growth factor beta 1 (TGF-β1) was injected into the dorsal penis tissue of rabbits in the experimental group.
View Article and Find Full Text PDFDynamic versus static ultra-widefield fluorescein angiography in eyes with diabetic retinopathy: a pilot prospective cross-sectional study.
Int J Ophthalmol
March 2021
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Aim: To analyze differences in ultra-widefield fluorescein angiography (UWFA) findings between dynamic and static images of eyes with diabetic retinopathy (DR).
Methods: This cross-sectional study included 28 eyes of 28 patients with DR undergoing UWFA. A series of UWFA images acquired from each patient were converted into a time-lapse video and used as a dynamic image.
Artificial intelligence-based screening for diabetic retinopathy at community hospital.
Eye (Lond)
March 2020
Department of Ophthalmology, Shanghai Shibei Hospital of Jing'an District, Shanghai, China.
Objectives: The purpose of this study is to assess the accuracy of artificial intelligence (AI)-based screening for diabetic retinopathy (DR) and to explore the feasibility of applying AI-based technique to community hospital for DR screening.
Methods: Nonmydriatic fundus photos were taken for 889 diabetic patients who were screened in community hospital clinic. According to DR international classification standards, ophthalmologists and AI identified and classified these fundus photos.