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Diabetic retinopathy(DR), the most common ocular complication of diabetes, is one of the major causes of vision impairment and even blindness among the working population as well as middle-aged and elderly individuals. In the diabetic microvascular system, hyperglycemia damages retinal endothelial cells, enhances vascular permeability and disrupts the blood-retinal barrier through different mechanisms, all of which result in endothelial dysfunction. Retinal vascular dysfunction caused by multifactors, such as peroxisome proliferator-activated receptor-y disruption, oxidative stress, inflammation, increased advanced glycation end products and their receptors, and microRNA dysregulation can cause vascular endothelial damage, accelerate retinal endothelial dysfunction, lead to the progression of DR. Therefore, the available date and the contributors in the pathophysiology of DR are reviewed with a special emphasis on the retinal endothelial dysfunction, for a better understanding of the molecular cellular mechanism in the development of DR, to analyze the challenges in the treatment of DR and to provide new ideas and strategies for the clinical management and treatment of DR.

Abstract Objectives Seeking a noninvasive predictor for BRAF V600E mutation status of pleomorphic xanthoastrocytomas (PXAs) is essential for their prognoses and therapeutic use of BRAF inhibitors. We aimed to noninvasively diagnose BRAF V600E-mutated PXAs using MRI morphologic, DWI and clinical parameters. Methods The clinical findings, anatomical MRI characteristics, and diffusion parameters of 36 pathologically confirmed PXAs were retrospectively analyzed, and BRAF V600E-mutated (n = 16) and wild-type (n = 20) groups were compared. A binary logistic-regression analysis was performed, and a ROC curve was calculated to determine the independent predictors of BRAF V600E mutation status, diagnostic accuracy, and optimal cut-off value. Results A comparison of findings between groups showed that BRAF V600E-mutated PXAs were more frequent in children and young adults (≤ 35 years; P = 0.042) who often had histories of seizures (P = 0.004). Furthermore, BRAF V600E-mutated PXAs generally presented as solitary masses (P = 0.024), superficial locations with meningeal attachment (P

Genistein was esterified with nine acyl chlorides. The resulting esters were characterized using HPLC-MS and 1H and 13C NMR. The antioxidant activity of genistein esters was assessed in both chemical models and Caco-2 cells. All genistein esters exhibited lower 1,1-Diphenyl-2-picrylhydrazyl radical 2,2-Diphenyl-1-(2,4,6-trinitrophenyl) hydrazyl (DPPH) and 2, 2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activities compared to genistein. Seven genistein monoesters exhibited stronger cellular antioxidant activity (CAA) than genistein (CAA unit = 1.1), with genistein-7-O-octanoate (G-C8:0) (CAA unit = 25.9) being the strongest. Further mechanism study revealed that G-C8:0 treatment significantly enhanced the activities of antioxidative enzymes such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-PX), along with upregulating the protein expression of nuclear factor E2-related factor (Nrf2) and its downstream antioxidases, including SOD, Heme oxygenase 1 (HO-1), and GSH-PX. Overall, these findings indicate that esterification is a promising method for augmenting the cellular antioxidant activity of parent isoflavones.

Accurate prediction of the prognosis of nasopharyngeal carcinoma (NPC) is important for treatment. Lymph nodes metastasis is an important predictor for distant failure and regional recurrence in patients with NPC. Traditionally, subjective radiological evaluation increases concerns regarding the accuracy and consistency of predictions. Radiomics is an objective and quantitative evaluation algorithm for medical images. This retrospective analysis was conducted based on the data of 729 patients newly diagnosed with NPC without distant metastases to evaluate the performance of radiomics pretreatment using magnetic resonance imaging (MRI)-determined metastatic lymph nodes models to predict NPC prognosis with three delineation methods. Radiomics features were extracted from all lymph nodes (ALN), largest lymph node (LLN), and largest slice of the largest lymph node (LSLN) to generate three radiomics signatures. The radiomics signatures, clinical model, and radiomics-clinic merged models were developed in training cohort for predicting overall survival (OS). The results showed that LSLN signature with clinical factors predicted OS with high accuracy and robustness using pretreatment MR-determined metastatic lymph nodes (C-index [95 % confidence interval]: 0.762[0.760–0.763]), providing a new tool for treatment planning in NPC.