Acute hepatitis E (AHE) in the elderly can lead to severe complications including liver failure and mortality, yet the epidemiological landscape remains poorly characterized. This study aimed to assess the burden, trends, and health inequalities of AHE among the elderly over the past three decades, and to further predict its changes by 2030.

Data on AHE in the elderly were obtained from the Global Burden of Disease 2021. The burden of AHE was analyzed by trends, decomposition, cross-country inequalities, and predictive analysis.

In 2021, the global incidence and Disability-Adjusted Life Years (DALYs) for AHE among the elderly were recorded as 1,130,013.35 and 20,084.77, respectively. Although there were significant differences in the incidence and DALYs across countries, the number of incident cases increased from 1990 to 2021, with a slight rise in age-standardized rates, while the number and age-standardized rate of DALYs showed a declining trend. Decomposition analysis revealed that population growth and aging are the drivers of changes in incidence, while epidemiological changes somewhat offset the increases in DALYs driven by population growth. Low socio-demographic index countries bear a disproportionate burden of elderly AHE, although inequality gaps have narrowed over time. Notably, up to 2030, the number of incident cases and DALYs will continue increasing. The burden in elderly women was more pronounced than in men.

The burden of elderly AHE, as a major public health issue, remains substantial. While cross-country inequities have been alleviated over time, the pressure on lower socio-demographic index countries to control the disease remains high. AHE in elderly women requires further attention. This emphasizes the significant challenges faced in controlling and managing elderly AHE.

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.

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.

Mucinous cystic neoplasms (MCNs) are rare pancreatic lesions that often go undiagnosed due to their asymptomatic nature. Though typically benign, they can harbor malignant potential, making early detection and treatment essential. This case report presents a 32-year-old female with intermittent epigastric pain, who was found to have a cystic lesion in the pancreatic tail, diagnosed as an MCN through endoscopic ultrasound and fine-needle aspiration. The patient underwent a spleen-sparing distal pancreatectomy, which was complicated by a peri-pancreatic abscess that required drainage. This case highlights the importance of distinguishing MCNs from other pancreatic cystic lesions, as misdiagnosis or delayed intervention can lead to adverse outcomes. It underscores the need for vigilant diagnostic imaging and individualized treatment strategies, particularly in young patients, to avoid unnecessary morbidity and ensure optimal outcomes. The report contributes to the growing understanding of MCNs, emphasizing early diagnosis, tailored surgical management, and the significance of postoperative care.

The global integration of traditional medicine (TM) and modern medicine reflects a fundamental shift in healthcare aimed at delivering more holistic, culturally sensitive, and patient-centered care. With over 80% of the global population relying on some form of TM, especially in Asia, Africa, and Latin America, there is growing momentum to institutionalize TM alongside evidence-based biomedicine. Countries like India, China, and Korea have led integration through formal education, government-supported research, and clinical frameworks, while high-income countries are increasingly adopting complementary and integrative medicine models. However, this convergence faces substantial challenges, including differences in epistemology, regulatory standards, evidence hierarchies, and practitioner training. Limited clinical trials, quality assurance concerns, and issues related to intellectual property rights and biopiracy further complicate harmonization. Despite these barriers, the World Health Organization’s Traditional Medicine Strategy (2014–2023) and its newly established Global Centre for Traditional Medicine (India) underscore a growing international commitment to evidence-based integration. Opportunities lie in promoting collaborative research, strengthening regulatory frameworks, enhancing digital health platforms for TM documentation, and fostering intercultural dialogue between health systems. If guided ethically and scientifically, integration can improve access to care, reduce treatment costs, and offer personalized health solutions for chronic and lifestyle-related diseases. This review explored global integration models, evaluated emerging challenges, and identified strategies to support an inclusive, pluralistic, and sustainable healthcare future that respects both traditional wisdom and modern science.

Ischemic stroke is a complex cerebrovascular disorder characterized by highly unpredictable outcomes influenced by patient-specific variables, including age, stroke severity, and preventable stroke-related complications such as infections. Analyses of clinical data have indicated a cumulative post-stroke infection rate of approximately 30%, with reported rates ranging from 5% to 65%. Post-stroke infections pose a significant challenge, as they not only increase the financial burden of stroke care but are also associated with adverse clinical outcomes, prolonged hospital stays, and a higher risk of stroke recurrence. The inflammatory response plays a pivotal role in the pathophysiology of ischemic stroke, encompassing the activation of inflammatory cells, the release of inflammatory mediators, and the engagement of inflammatory signaling pathways. Recent advances in molecular biology have facilitated the identification and investigation of numerous inflammation-related biomarkers. This article reviews the roles and mechanisms of key inflammatory biomarkers, including cytokines, chemokines, adhesion molecules, inflammation-related enzymes and mediators, receptors, signaling pathway molecules, and acute-phase proteins in the context of ischemic stroke, highlighting their significance in stroke pathophysiology and prognostic assessment. Additionally, in conjunction with the latest research advances, the article discusses novel biomarkers such as microRNAs and galectin-3, which are emerging as important tools in multiple domains, including diagnosis and treatment. Drawing on clinical diagnostic and therapeutic practices, this review analyzes the diagnostic and therapeutic roles of both novel and traditional biomarkers in the progression of ischemic stroke, following the temporal sequence from disease onset to prognosis. Finally, the article addresses the limitations of current research and offers perspectives on future directions, providing insights that may contribute to the advancement of precision medicine in the management of ischemic stroke.

Metabolic-associated steatohepatitis (MASH) is an advanced and progressive liver disease that potentially causes cirrhosis and hepatocellular carcinoma. Exercise is a crucial and effective intervention for ameliorating metabolic dysfunction-associated steatotic liver disease. This study aimed to provide a comprehensive understanding of the underlying mechanisms of MASH, which benefit a broad spectrum of MASH patients, including those who have difficulty engaging in physical activity.

We established a mouse model of MASH and selectively knocked down L-type amino acid transporter 1 and alanine-serine-cysteine transporter 2. Mice were fed a high-fat high-cholesterol diet and subjected to either short- or long-term exercise regimens. We assessed the phosphorylation and activity of branched-chain alpha-keto acid dehydrogenase (BCKDH) as well as branched-chain amino acid (BCAA) content in skeletal muscle following exercise.

Short-term exercise significantly reduced hepatic steatosis and inflammation without causing notable changes in body weight. It also enhanced BCKDH activity in skeletal muscle and decreased hepatic BCAA accumulation. Muscle-specific overexpression of BCKDH further promoted BCAA catabolism and significantly attenuated hepatic steatosis and inflammation in high-fat high-cholesterol-fed mice. In contrast, muscle-specific L-type amino acid transporter 1 knockdown, which suppresses BCAA uptake, markedly abolished these beneficial effects. Interestingly, BCKDH overexpression in muscle increased glutamine levels in both the blood and liver. Hepatic alanine-serine-cysteine transporter 2 knockdown, which inhibited glutamine uptake, lessened the protective effect of exercise on MASH. Further in vitro study revealed that glutamine derived from myocytes improved redox homeostasis and inhibited lipid accumulation in hepatocytes.

Short-term exercise enhances BCAA catabolism in skeletal muscle and promotes glutamine production, which circulates to the liver to improve redox balance and alleviate MASH.

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.

Brain metastases from ovarian cancer (BMFOC) are rare but associated with poor prognosis. This study aimed to evaluate the efficacy and safety of Gamma Knife stereotactic radiosurgery (GKSRS) in managing patients with BMFOC.

A retrospective analysis was conducted on 22 patients with BMFOC who were treated with GKSRS between January 2015 and May 2019. The median age at the start of treatment was 57.7 years (range, 46–72 years). A total of 70 brain metastases were treated, with each patient having between one and nine metastatic tumors. The mean tumor volume was 3.6 cm3 (range, 0.1–22.7 cm3). The mean peripheral dose was 16 Gy (range, 7–20 Gy), and the mean isodose curve was 54.6% (range, 45–80%).

At 12 months post-GKSRS, 68 metastatic tumors were assessed: 32 (47.1%) showed complete response, 20 (29.4%) had partial response, 14 (20.6%) remained stable, and two (2.9%) progressed, leading to a tumor control rate of 97.1%. No acute or chronic toxicity was observed.

GKSRS appears to be an effective and well-tolerated treatment for BMFOC, offering high tumor control rates and prolonged survival in selected patients.

Propolis is a resinous material produced by honeybees. Its chemical composition is highly complex and varies significantly depending on geographic region and season. This intrinsic variability presents challenges to the standardization and quality control of propolis. This study aimed to evaluate the chemical composition, total phenolic content, and antioxidant potential of propolis collected from seventeen geographical regions across Africa.

A reverse-phase high-performance liquid chromatography (RP-HPLC) method coupled with a photodiode array detector (PDA) was used for analysis of propolis samples. The flavonoid and phenolic contents of the samples were determined using colorimetric and Folin-Ciocalteu methods. Antioxidant capacity was assessed using the 2,2-diphenyl-1-picrylhydrazyl assay.

Five flavonoids (naringenin, pinocembrin, galangin, chrysin, and quercetin), one flavonoid glycoside (rutin), six phenolic acids (caffeic acid, p-coumaric acid, cinnamic acid, chlorogenic acid, ferulic acid, and gallic acid), and an aromatic ester - caffeic acid phenethyl ester were simultaneously detected and quantified using RP-HPLC with an ACE-5 C18 column (250 mm × 4.6 mm i.d., 5 µm) and PDA detector. The reference standards showed good linearity with regression coefficients (R2) ranging from 0.96 to 0.99. For precision, repeatability, and stability studies, the relative standard deviation for all reference standards was below 2.5%. The 2,2-diphenyl-1-picrylhydrazyl assay yielded EC50 values ranging from 17.6 ± 0.39 to 0.16 ± 0.001 mg/mL.

RP-HPLC method for the simultaneous quantification of thirteen reference standards will serve as a reliable tool for the standardization and quality evaluation of propolis. The flavonoid and phenolic contents are key contributors to the antioxidant activity of propolis and reflect local plant biodiversity and bee–plant interactions within the ecosystem.