The advent of nanoparticle technology has transformed oncology therapeutics through its capacity for accurate drug delivery and regulated pharmaceutical release, boosting treatment effectiveness while minimizing adverse reactions. Various nanostructures, including polymeric carriers, liposomal formulations, and metal-based nanoparticles, can be engineered with tumor-specific targeting molecules to facilitate cellular uptake in malignant cells. Despite these advancements, issues such as production scalability, potential chronic toxicity, and regulatory approval processes still need to be addressed. Viral nanoparticles and virus-like particles (VLPs) represent innovative tools in nanotechnology and biomedicine, offering exceptional potential for targeted therapies, immune modulation, and diagnostic applications. Their natural biocompatibility, precise structural organization, and capacity for surface modification make them highly suitable for developing strategies to treat malignant tumors. Alongside VLP development, other approaches have also been investigated, such as magnetic hyperthermia, where magnetic nanoparticles are used to generate localized heat under an external magnetic field, selectively destroying cancer cells while sparing healthy tissue. This paper presents a brief review of nanocarriers in drug delivery systems and discusses the integration of nanoparticles, viral nanoparticles, and VLPs. Additionally, we explore the challenges and propose cutting-edge solutions, offering a forward-looking perspective on how the combination of these advanced technologies could transform oncology.

Drug discovery is an exceptionally long and costly process, often taking over 10 years and costing billions of dollars. Despite these efforts, more than 90% of drug candidates fail, with most failures occurring during clinical trials due to issues related to efficacy, safety, or poor pharmacokinetics. A major contributor to these failures is biopharmaceutic barriers, including poor solubility, limited permeability, active efflux by transporters such as P-glycoprotein and breast cancer resistance protein, and extensive first-pass metabolism by CYP450 enzymes. These factors severely limit drug absorption and bioavailability, reducing therapeutic efficacy. Although traditional approaches, such as high-throughput absorption, distribution, metabolism, and excretion screening and improved chemical design, have achieved some progress, a major shift is now occurring through the use of in silico modeling, artificial intelligence (AI), and machine learning. These AI-driven tools enhance the prediction accuracy of absorption, distribution, metabolism, and excretion profiles, identify transporter interactions, and even simulate metabolic pathways. Additionally, modern formulation technologies, such as three-dimensional printing, lipid-based nanocarriers, and biodegradable delivery systems, are increasingly being integrated with AI-powered design platforms to personalize and optimize drug delivery. However, these promising advancements also raise regulatory and ethical concerns that must be addressed before widespread adoption. This review examines the major biopharmaceutic barriers responsible for drug development failures and explores how emerging AI-driven strategies and formulation innovations are being used to overcome these limitations. It also discusses current regulatory challenges and ethical considerations associated with adopting these technologies.

While metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with obesity, the cause of its rapidly rising prevalence is not well understood. In this study, we aimed to examine the association between arsenic exposure and MASLD in humans.

Urinary inorganic arsenic data from the National Health and Nutrition Examination Survey, 2011–2020, were used. These were combined with death certificate data from the National Death Index of the National Center for Health Statistics to ascertain mortality rates. Weighted linear regression and chi-squared analysis were performed.

The analysis included 6,386 participants after exclusions. The mean urinary arsenic level was 5.92 µg/L in participants with MASLD versus 5.59 µg/L in those without. Alanine aminotransferase levels exhibited a statistically significant increasing trend across both continuous arsenic levels and arsenic quintiles. A statistically significant upward trend was observed for the income-to-poverty ratio and body mass index but not for education status. MASLD prevalence was highest among the white population, while an increasing trend was observed in the Hispanic population over the years (p < 0.001). The proportion of Mexican Americans increased to 12.6% in the MASLD group versus 8.09% in the non-MASLD cohort (p < 0.001). There was a statistically significant increase in the odds of MASLD across arsenic exposure levels, with individuals in the highest quintile having a 32% greater likelihood compared to those in the lowest quintile (p-trend = 0.002). The odds further increased to 55% in the highest quintile (odds ratio 1.55, 95% confidence interval: 1.19–2.03; p-trend < 0.001). MASLD was more prevalent in females than males (57.9% vs. 47.6%; p < 0.001), and the mean age increased from 46.9 years to 49.9 years (p = 0.016).

Our findings reveal a positive association between urinary arsenic exposure and MASLD, with increasing trends particularly observed among Hispanics and those with higher income-to-poverty ratios and body mass index.

Actively identifying the risk factors and predictive indicators associated with portal vein thrombosis (PVT) in liver cirrhosis (LC) can enable early diagnosis and treatment, which is of great significance for prolonging the survival of patients with LC. Hemodynamic disturbances, advanced LC, vascular endothelial injury, and mutations in thrombophilic genetic factors are established risk factors for PVT-LC. Venous dilatation and decreased blood flow velocity contribute to hemodynamic disturbances. The severity of LC can be assessed by the degree of portal hypertension, liver metabolic function biomarkers, and validated liver scoring systems. Iatrogenic interventions, endotoxemia, and metabolic syndrome may induce vascular endothelial injury and hypercoagulability, the latter of which can be quantified via coagulation-anticoagulation-fibrinolysis biomarkers. Mutations in thrombophilic genetic factors, such as Factor V Leiden, MTHFR C667T, and JAK2 V617F, disrupt coagulation-anticoagulation homeostasis and predispose patients to PVT-LC. This review specifically focuses on comprehensively delineating established risk factors and predictive indicators for PVT-LC, thereby providing a theoretical foundation for the construction of clinically applicable PVT predictive models to guide early interventions and improve the prognosis. Future research should further validate the associations between recently proposed risk factors and PVT-LC, while simultaneously establishing cutoff values for indicators with robust predictive value to construct a clinically applicable PVT prediction framework.

Lung metastasis is common in hepatocellular carcinoma (HCC) and is typically associated with a poor prognosis. In this report, we present a case of advanced HCC in a 46-year-old Chinese male with lung metastases. The patient received two cycles of sequential hepatic arterial infusion chemotherapy and transarterial embolization in combination with lenvatinib (a tyrosine kinase inhibitor) and tislelizumab (a programmed cell death protein 1 immune checkpoint inhibitor). After three months of treatment, the intrahepatic tumors showed a partial response, while the bilateral lung metastases exhibited a complete response. Concurrently, levels of alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II decreased to normal levels. Systemic treatment with lenvatinib and tislelizumab was continued for 10 months. This case underscores the potential of combination therapies for advanced HCC with lung metastases and provides a novel perspective on a therapeutic approach involving sequential hepatic arterial infusion chemotherapy and transarterial embolization with immune checkpoint and tyrosine kinase inhibitors.

Patients with chronic hepatitis B virus (HBV) infection in the immune-tolerant phase may still experience hepatic inflammation and disease progression, and could benefit from early antiviral treatment. This study aimed to investigate changes in the cumulative hepatitis B surface antigen (HBsAg)/HBV DNA ratio in immune-tolerant patients during the transition to the immune-active phase, and to evaluate its potential in predicting the risk of disease progression.

This longitudinal study included 127 untreated immune-tolerant patients, who were followed for up to 10 years. An independent cohort of 109 subjects was retrospectively enrolled for external validation. The relationship between the cumulative HBsAg/HBV DNA ratio and the duration of immune tolerance or transition to the immune-active phase was examined. The predictive value of the ratio was assessed and validated.

The relationship between the cumulative HBsAg/HBV DNA ratio and disease progression risk showed a non-linear pattern: below a ratio of 1.791, the risk of disease progression decreased rapidly as the ratio increased; above 1.791, the risk plateaued. The area under the curve for predicting disease progression was 0.67, 0.64, and 0.85 for cumulative HBsAg, HBV DNA, and the HBsAg/HBV DNA ratio, respectively. Multivariable Cox regression analysis revealed the cumulative HBsAg/HBV DNA ratio as an independent predictor of disease progression, with higher ratios associated with a lower risk. Prediction models incorporating this ratio were developed and externally validated, demonstrating strong performance and clinical utility.

The cumulative HBsAg/HBV DNA ratio is an independent factor influencing the duration of immune tolerance and shows superior predictive performance. It may serve as a valuable marker for assessing the risk of disease progression in patients with chronic HBV infection.

Coronary heart disease is an ischemic condition characterized by vascular stenosis or obstruction caused by coronary atherosclerosis, resulting in myocardial ischemia, hypoxia, or necrosis. It is one of the leading causes of death in both urban and rural populations in China. Safflower yellow pigments, the main active components of the traditional Chinese herbal medicine safflower, are primarily composed of quinochalcone compounds, including hydroxysafflor yellow A and anhydrosafflor yellow B—of which hydroxysafflor yellow A is the principal component. Studies have demonstrated that these pigments can improve myocardial ischemia, reduce ischemia-reperfusion injury, alleviate atherosclerotic damage, and address risk factors associated with coronary heart disease. This review aimed to systematically and comprehensively summarize the mechanisms of action of safflower yellow pigments and their active components in the context of coronary heart disease and its related risk factors.

Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer and continues to be a major cause of cancer-related mortality, particularly in regions of China with a high hepatitis B virus prevalence. Early-stage diagnosis remains challenging due to its asymptomatic onset and the limited sensitivity of conventional biomarkers, which together contribute to delayed detection, suboptimal therapeutic outcomes, and poor prognosis. These limitations underscore the urgent need for reliable, sensitive, and specific biomarkers to enable timely detection and targeted intervention. Protein induced by vitamin K absence or antagonist-II, an abnormal prothrombin variant generated under vitamin K deficiency or antagonism, has emerged as a promising candidate with diagnostic and therapeutic relevance in HCC. This review critically examines the molecular and biological characteristics of protein induced by vitamin K absence or antagonist-II, evaluates its clinical utility in HCC diagnosis and management, and delineates the current limitations hindering its broader application. Furthermore, future perspectives are proposed to guide translational research and clinical implementation. Collectively, this review aims to provide a comprehensive theoretical framework to advance precision diagnosis and individualized treatment strategies for HCC.

Nutrition plays a pivotal role in the prevention and management of gastrointestinal and hepatic diseases, yet dietary guidance remains generic, limiting its effectiveness. Conditions such as inflammatory bowel disease, irritable bowel syndrome, metabolic dysfunction-associated steatotic liver disease, celiac disease, and gastroesophageal reflux disease are significantly influenced by dietary factors. Personalized nutrition has emerged as a promising strategy to tailor interventions, but conventional approaches fail to account for individual metabolic, genetic, and microbiome variability, limiting their clinical impact. The rapid rise of artificial intelligence (AI) has transformed precision nutrition by integrating genomics, microbiome profiles, metabolic markers, and real-time dietary tracking to generate individualized recommendations. AI-driven systems are advancing dietary assessment, condition-specific nutrition optimization, and continuous monitoring through tools such as wearable devices and natural language processing-based diet analysis. These innovations hold transformative potential in gastroenterology and hepatology, offering dynamic, patient-specific strategies that may enhance clinical outcomes. However, challenges remain, including the lack of standardized AI-driven protocols, ethical concerns such as bias and data privacy, limited clinical validation, and the underrepresentation of nutrition in many current AI applications. Opportunities for progress include developing federated learning models, expanding real-world validation studies, and designing regulatory and ethical frameworks for safe implementation. This narrative review synthesizes literature published between 2015 and 2025 across five databases, highlighting key applications, limitations, and future directions of AI-driven personalized nutrition in gastroenterology and hepatology. It provides insights into how AI could reshape patient-centered care through more individualized, effective, and scalable dietary strategies.

Harlequin ichthyosis, one of the rarest and most severe skin disorders, is mainly characterized by extreme hyperkeratosis, severely impairing the natural barrier function of the skin. This congenital disease results from a mutation in the ABCA12 gene responsible for lipid transport, whereby healthy skin development is assured. Harlequin ichthyosis is an autosomal recessive condition that requires parents to carry a defective gene copy for the disorder to manifest in their offspring. Babies born with Harlequin ichthyosis have thick skin plates that crack and flake off; they easily become dehydrated, infected, and may suffer from respiratory complications. With new improvements in neonatal care and systemic therapy, notably retinoid therapy, infants’ survival rates have improved. This review provides an inclusive overview of the pathophysiology, clinical features, diagnostic methods, management, and potential future therapies for Harlequin ichthyosis. In addition, a discussion on genetic counseling and its importance in managing family risk factors is also included, as well as a look into cutting-edge research focused on gene therapy and potential curative treatments.