The Browning Properties, Antioxidant Activity, and α-Glucosidase Inhibitory Improvement of Aged Oranges (Citrus sinensis).

Oranges contain many natural active chemicals, organic acids, and polysaccharides. Aging processing is commonly used to modify the color, quality, functional components, and stability of fruits. This study assesses the preparation of aging black oranges using various pre-treatments and solid fermentation. Oranges were aged for six weeks in fresh, non-blanching, blanching, and hot air-assisted aging cycle (AA) groups. The oranges' shrinkage ratio, color difference values, and soluble solids content changed significantly (p < 0.05). Principal component analysis indicated that aging fermentation treatment accelerated glycolysis and increased the ratio of reducing sugars. The enhanced browning can be associated with the oxidation of ascorbic acid (0.66-0.47 mg/g) and the formation of 5-hydroxymethylfurfural (5-HMF) (0.09 mg/g). Furthermore, the presence of free polyphenols led to an increase in the total polyphenol and total flavonoid content. It also had a synergistic effect with 5-HMF in increasing the 2,2-diphenyl-1-picrylhydrazyl free radical-scavenging capacity and ferric ion-reducing antioxidant power (p < 0.05). AA had superior α-glucosidase inhibitory ability increasing from 67.31 to 80.48%. It also reduced the development time by 33%. Therefore, aging technology can enhance the bioactive compounds in oranges and provide a reference for future whole-fruit aging fermentation and health product creation.

Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment.

Introduction: Recent developments in artificial intelligence large language models (LLMs), such as ChatGPT, have allowed for the understanding and generation of human-like text. Studies have found LLMs abilities to perform well in various examinations including law, business and medicine. This study aims to evaluate the performance of ChatGPT in the United Kingdom Medical Licensing Assessment (UKMLA). Methods: Two publicly available UKMLA papers consisting of 200 single-best-answer (SBA) questions were screened. Nine SBAs were omitted as they contained images that were not suitable for input. Each question was assigned a specialty based on the UKMLA content map published by the General Medical Council. A total of 191 SBAs were inputted in ChatGPT-4 through three attempts over the course of 3 weeks (once per week). Results: ChatGPT scored 74.9% (143/191), 78.0% (149/191) and 75.6% (145/191) on three attempts, respectively. The average of all three attempts was 76.3% (437/573) with a 95% confidence interval of (74.46% and 78.08%). ChatGPT answered 129 SBAs correctly and 32 SBAs incorrectly on all three attempts. On three attempts, ChatGPT performed well in mental health (8/9 SBAs), cancer (11/14 SBAs) and cardiovascular (10/13 SBAs). On three attempts, ChatGPT did not perform well in clinical haematology (3/7 SBAs), endocrine and metabolic (2/5 SBAs) and gastrointestinal including liver (3/10 SBAs). Regarding to response consistency, ChatGPT provided correct answers consistently in 67.5% (129/191) of SBAs but provided incorrect answers consistently in 12.6% (24/191) and inconsistent response in 19.9% (38/191) of SBAs, respectively. Discussion and conclusion: This study suggests ChatGPT performs well in the UKMLA. There may be a potential correlation between specialty performance. LLMs ability to correctly answer SBAs suggests that it could be utilised as a supplementary learning tool in medical education with appropriate medical educator supervision.

Body Mass Index-Adjusted Body Weight Loss Grading Predicts Overall Survival in Esophageal Squamous Cell Carcinoma Patients.

PURPOSE: Various malnutrition and inflammation criteria were associated with prognosis of esophageal squamous cell carcinoma (ESCC) patients. Nonetheless, the interplay of clinicopathological features, malnutrition, and inflammation criteria with overall survival in ESCC patients remains unclear. METHODS: We retrospectively reviewed medical records of 205 patients diagnosed with ESCC between 2007 and 2012, and evaluated the status of participant malnutrition and inflammation, including body mass index < 18.5 kg/m2, body weight loss > 5.0%, serum albumin level < 3.5 g/dl, neutrophil-to-lymphocyte ratio > 3.5, platelet-to-lymphocyte ratio > 20, prognostic nutrition index < 40, blood total lymphocyte count < 1600 cells/mm3, and grades of body mass index-adjusted body weight loss (combined BMI-BWL). We assessed the association of clinicopathological features, nutritional status, and inflammation condition with overall survival using univariate and multivariate Cox regression analyses. RESULTS: The mean overall survival of ESCC patients was 28.8 mo,. The multivariate logistic regression model after adjustment for clinicopathological variables, malnutrition status, inflammation condition, and co-morbid status found that tumor stage and grades of combined BMI-BML served as equally important prognostic factors for overall survival. CONCLUSIONS: Advanced tumor stage and high grades of combined BMI-BWL were independent prognostic factors for overall survival in ESCC patients.

EBV oncogene N-LMP1 induces CD4 T cell-mediated angiogenic blockade in the murine tumor model.

Antivascular immunity may provide long-term protection by preventing neovascularization that precedes tumor progression. Although the tumorigenesis promoted by EBV-encoded oncogene latent membrane protein 1 derived from Taiwanese nasopharyngeal carcinoma (N-LMP1) has been demonstrated, the potential of N-LMP1 for inducing immune surveillance remains elusive. In this article, we describe the immunogenicity of N-LMP1 (1510) and its induction of antivascular immunity in a transplantable tumor model in immunocompetent BALB/c mice. The immunogenicity of N-LMP1 was evaluated on the basis of tumor rejection following immunization. The impact of the immunization on the dynamics of tumor angiogenesis was assessed by temporal noninvasive dynamic contrast-enhanced magnetic resonance imaging and was further confirmed by histologic study and vascular count. Through the experiments of in vivo depletion and adoptive transfer, CD4 T cells were identified as effectors that depend on IFN-γ for tumor prevention. The response was further verified by the identification of an MHC H-2 I-E(d)-restricted peptide derived from N-LMP1 and by the immunization of mice with N-LMP1 peptide-loaded dendritic cells. These studies provide insight into N-LMP1-specific immunity in vivo, which suggests that CD4 T cells may play an important role in angiogenic surveillance against LMP1-associated cancer via tumor stroma targeting.