Endometrial cancer is a common malignant tumor of the female reproductive system, and its incidence is increasing worldwide. The underlying causes of endometrial cancer are multifactorial. In recent years, the role of diet and lifestyle has received considerable attention and has become a key area of research for cancer prevention. Available literature suggests that different dietary patterns, such as the Mediterranean diet or a plant-based diet, along with moderate physical activity, are associated with a reduced risk of this cancer. Despite these findings, significant gaps in knowledge remain, particularly regarding the specific foods, lifestyle choices, and mechanisms of action that can help mitigate the risk of cancer. Furthermore, the effects of cultural and genetic differences among subpopulations make this issue even more complex. In this context, this review aimed to assess the existing literature on the potential role of diet and lifestyle factors in preventing endometrial cancer, evaluate the available data, and highlight areas that require further investigation to provide concrete evidence and recommendations for prevention.

Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is essential for non-invasively investigating brain function. However, conventional fMRI methods are limited by low spatial and temporal resolution. This narrative review evaluates recent advancements in deep learning techniques for high-resolution BOLD-fMRI reconstruction, focusing on super-resolution, segmentation, and image registration. A comprehensive literature search was conducted across PubMed, IEEE, Scopus, and Web of Science databases for the period 2000–2023. Studies employing deep learning methods, including convolutional neural networks, transformer-based models, and generative adversarial networks for super-resolution, segmentation, and registration of BOLD-fMRI, were included. Deep learning approaches demonstrated significant improvements in spatial resolution, segmentation accuracy, and registration robustness. Convolutional neural network-based models, particularly generative adversarial networks, notably improved image reconstruction quality and detail preservation. Preliminary studies targeting specific brain regions such as the cerebellum and hippocampus showed promise; however, systematic evaluations across broader brain areas and large-scale clinical validations remain limited. While deep learning techniques have led to substantial advancements in high-resolution BOLD-fMRI reconstruction, future research should focus on standardized protocols, multi-center validation, and improving computational efficiency and model generalization to enhance clinical utility.

Proper nutritional management has been shown to reduce complications and lead to better clinical outcomes. However, inaccurate nutritional screening and assessment, inappropriate nutrition support, and deviations from suggested guidelines were observed in clinical practice. We aimed to investigate the nutritional status and support of hospitalized patients with neurological diseases to identify deficiencies in nutritional assessment and treatment.

A self-designed questionnaire, developed through a literature review, group discussions, and expert consultation, was converted into an electronic form to conduct a cross-sectional survey in a tertiary-level general hospital. The patients’ basic information and the first nutrition assessment were filled out upon admission. The final nutrition assessment were logged at discharge, transfer out, or death. Two-person cross-entry was used to ensure the accuracy of data input.

A total of 620 patients were enrolled in this study. Of these, 24.4% were at nutritional risk upon admission, and 22.7% were identified as at nutritional risk in the final assessment. There were no statistically significant differences in nutritional status between the first and final assessments, except for serum albumin concentration. A total of 118 patients (19.0%) received nutrition therapy. Complications occurred in 35 (45.5%) patients treated with enteral nutrition and 29 (30.5%) patients treated with parenteral nutrition.

The incidence of nutritional risk in inpatients with neurological diseases enrolled in this study was relatively low. However, nutritional treatment in this study was not sufficiently standardized. Nurses are needed to receive relevant professional training to improve quality of nutritional interventions.

Liver fibrosis is a key process in the progression of chronic liver diseases. However, there are currently no drugs specifically designed to treat liver fibrosis. Our Phase 2 trial of hydronidone for the treatment of chronic hepatitis B (CHB)-associated liver fibrosis showed that adding hydronidone to entecavir resulted in significant reversal of liver fibrosis. To further evaluate the efficacy of a 270 mg/day dose of hydronidone for treating liver fibrosis associated with CHB, we conducted this Phase 3 trial.

This is a 52-week, randomized (1:1), double-blind, placebo-controlled, multicenter, entecavir-based Phase 3 clinical study conducted at 44 study centers across China. Adult patients aged 18 to 65 years with significant liver fibrosis (defined as an Ishak score ≥ 3 on liver biopsy) associated with CHB were included.

The primary endpoint of the trial is to demonstrate the efficacy of fibrosis reversal, defined as a decrease in the Ishak stage score of liver fibrosis by ≥1 after 52 weeks of treatment, compared to baseline.

The results of this trial are expected to further support the antifibrotic indication for this novel drug.

Prostate cancer (PCa) often manifests insidiously, with most patients being diagnosed at an advanced stage, leading to a poor prognosis. Early detection of PCa can significantly prolong overall survival by impeding the progression of metastasis. A commonly utilized screening method for detecting PCa is the prostate-specific antigen test. However, since the prostate-specific antigen lacks specificity and sensitivity for PCa identification, there is a paramount urgency to develop precise diagnostic biomarkers for early detection. Extracellular vesicles, known as exosomes, are released by cells into body fluids. Exosomes derived from cancer cells can carry genetic information about the tumor, including DNA, RNA, and proteins, which play crucial roles in tumor initiation, invasion, metastasis, and drug resistance. Studies have indicated that exosomes (including messenger RNAs, microRNAs, long noncoding RNAs and others) can enhance the sensitivity and specificity of PCa diagnosis, indicating their potential for early detection. This review highlights the biological characteristics and functions of exosomes, as well as recent advancements in their use for the diagnosis, prognosis, and treatment of prostate cancer.

Paget’s disease of the esophagus is extremely rare, with few cases reported. In this report, we describe a case of recurrent esophageal Paget’s disease coexisting with small cell carcinoma. A 63-year-old man presented with the chief complaint of a rediscovered early esophageal cancer. Endoscopic examination revealed two separate superficial flat tumors in the upper and mid esophagus. Endoscopic submucosal dissection was performed, diagnosing diffuse Paget’s disease (5.5 × 3.5 cm) and a small focus on intramucosal squamous cell carcinoma, respectively. Paget’s cells were also found in the distal and right margins of the first specimen of endoscopic submucosal dissection. Immunohistochemical analysis showed that Paget’s disease diffusely expressed cytokeratin 7 (CK7), CK18, and mucin 6 (MUC6), and focally expressed CD56 and chromogranin A, but not CK5/6, p63, p40, MUC5AC, MUC2, or synaptophysin. A complete absence of p53 and Rb1 was observed in Paget’s disease. However, overexpression of p53 and retention of Rb1 were seen in squamous cell carcinoma. Approximately 27 months later, a prominent tumor was found at the same location as the previous Paget’s disease. Subsequently, radical surgery was performed, and the final pathological evaluation revealed esophageal small cell carcinoma coexisting with Paget’s disease. Moreover, both p53 and Rb1 were completely absent in both Paget’s disease and the small cell carcinoma. This suggests that esophageal Paget’s disease may dedifferentiate and develop into small cell carcinoma. In conclusion, esophageal Paget’s disease can co-occur with invasive carcinomas, including small cell carcinoma, and should be completely resected endoscopically, with close follow-up.

Poor bioavailability and a short half-life limit the therapeutic efficacy of ibuprofen. This study developed floating nanoballoons to enhance ibuprofen’s bioavailability and sustain its anti-inflammatory effects through improved gastric retention.

Ibuprofen-loaded nanoballoons were synthesized using solvent evaporation with ethyl cellulose as the polymer matrix. The formulation was characterized for morphology, buoyancy, drug loading, and release kinetics. In vivo studies assessed the anti-inflammatory efficacy in acute and chronic inflammation models using male Sprague-Dawley rats.

The nanoballoons exhibited optimal characteristics, including 96% buoyancy and a drug loading efficiency of 96.54 ± 1.32%. Scanning Electron Microscopy revealed a spherical morphology with a porous structure. Drug release followed a biphasic pattern: an initial release of 35.23 ± 2.13% over 2 h, followed by sustained release reaching 97.54 ± 1.30% at 12 h. In acute inflammation studies, the nanoballoon formulation showed superior edema inhibition (68.12%) compared to pure ibuprofen (51.67%). Chronic inflammation studies demonstrated significant improvements in inflammatory markers: reduced TNF-α (19.12 ± 0.48 vs. 31.11 ± 1.23 pg/mL), hs-CRP (201.7 ± 11.02 vs. 232.12 ± 11.33 ng/mL), and IL-6 (100.01 ± 18.40 vs. 135 ± 11.22 pg/mL), with increased anti-inflammatory IL-10 (507.18 ± 10.11 vs. 276.11 ± 19.16 pg/mL).

The developed floating nanoballoon system significantly enhanced ibuprofen’s bioavailability and anti-inflammatory efficacy, presenting a promising gastro-retentive delivery platform for poorly water-soluble drugs.

This review explores the integration of complexity science—specifically, the biological holographic phenomenon and chaos-fractal theory—with the fundamental principles of traditional Chinese medicine (TCM) to optimize perioperative recovery. It examines how these theories provide a scientific foundation for developing a digital TCM diagnosis and treatment platform. Key topics discussed include the application of digital four-diagnosis technology, visualization of perioperative Yin-Yang states, and artificial intelligence-driven biomarker discovery. By quantifying and digitizing core TCM concepts, this approach enables their incorporation into Enhanced Recovery After Surgery protocols. Ultimately, the review highlights the potential of integrating TCM with Western medicine to advance personalized postoperative management, offering both theoretical insights and practical strategies for improving perioperative care.

Hepatic biliary adenofibroma is an exceedingly rare biliary neoplasm that primarily affects adults. It typically presents as a solitary mass composed of low-grade microcystic and tubuloglandular bile duct structures, which are lined by low columnar to cuboidal non-mucin-producing biliary epithelium and supported by abundant fibrous stroma. Histologically, it resembles the Von Meyenburg complex but is much larger in size and often shows cytologic atypia. Although considered benign, emerging case studies and analyses suggest that biliary adenofibroma may serve as a precursor lesion to intrahepatic cholangiocarcinoma. However, its extreme rarity, coupled with an incompletely understood histogenesis, perpetuates diagnostic uncertainty and may lead to misclassification with other similar entities. This review consolidates the current understanding of the histopathological and molecular characteristics of biliary adenofibroma, highlights its differential diagnosis, explores its potential progression to cholangiocarcinoma, and discusses unresolved questions while proposing future research directions.

Ischemic colitis has been previously associated with the use of certain medications; however, no cases have been reported in connection with zolmitriptan. This study aimed to describe a case of ischemic colitis associated with zolmitriptan use. A 56-year-old female patient taking zolmitriptan presented to the hospital with complaints of abdominal pain, bloody diarrhea, and emesis. Colonoscopy and abdominal imaging with computed tomography revealed findings consistent with ischemic colitis. After recognizing the association between ischemic colitis and zolmitriptan use, the medication was discontinued, and the patient recovered with supportive therapy. This is the first reported case of ischemic colitis associated with zolmitriptan.