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.

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.

Philadelphia chromosome-positive (Ph+) B-lymphoblastic leukemia/lymphoma (B-ALL/LBL) is an aggressive hematologic malignancy driven by the BCR::ABL1 fusion. While many cases respond well to treatment, some patients exhibit persistent BCR::ABL1 expression after therapy, presenting significant diagnostic challenges.

We present the case of a seven-year-old girl diagnosed with Ph+ B-ALL. Despite low percentages or negative results for blasts post-treatment, molecular and cytogenetic studies persistently detected high levels of BCR::ABL1, suggesting a high disease burden at the genetic level. This discordance supported multilineage involvement and the potential for retrospective revision of the initial diagnosis to lymphoblast crisis of chronic myeloid leukemia (LBC-CML).

Classifying such cases as de novo Ph+ B-ALL with multilineage involvement or LBC-CML is challenging, as there is currently no consensus among experts. Further studies are necessary to clarify the distinction, given the different management strategies and treatment responses between these two conditions.

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.

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.

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.

Balamuthia mandrillaris is a free-living amoeba that can cause granulomatous amoebic encephalitis, a lethal neurological condition in humans. This pathogen infects not only immunocompromised hosts but, more commonly, immunocompetent individuals. Balamuthia mandrillaris mainly infects the skin and nervous system. When it affects the nervous system, it can manifest as Balamuthia mandrillaris encephalitis (BAE). This article presents a case of BAE in central China, diagnosed through next-generation sequencing and histopathology. The patient is a 64-year-old male who was admitted to the Department of Neurosurgery with a one-week history of headache. Magnetic resonance imaging scans revealed a mass in the right temporal-occipital region, and postoperative pathological examination confirmed that the lesion was BAE. We will detail the clinical course of this disease in this patient, aiming to enhance clinicians’ understanding of Balamuthia mandrillaris infections.

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.

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.