Aging is characterized by a progressive decline in physiological function, an increased risk of chronic diseases, and multiple molecular and cellular alterations, including inflammation, oxidative stress, and mitochondrial dysfunction. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs), initially developed for the treatment of type 2 diabetes and obesity, may modulate pathways associated with the hallmarks of aging. This review aims to summarize the mechanistic and therapeutic evidence for GLP-1 RAs in targeting key aging processes and their potential to restore cellular homeostasis and enhance healthspan. A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science up to August 2025. Both preclinical and clinical studies were included if they evaluated the effects of GLP-1 RAs on the major biological processes encompassed by the 12 hallmarks of aging, such as mitochondrial dysfunction, insulin resistance, dysbiosis, inflammaging, autophagy, proteostasis, and genomic stability. Data were analyzed narratively to elucidate potential mechanisms and translational relevance. Evidence from animal and human studies demonstrates that GLP-1 RAs improve mitochondrial function, reduce oxidative stress, attenuate chronic inflammation, and enhance autophagic activity. Additionally, they modulate nutrient-sensing pathways and metabolic processes, thereby improving cellular resilience. Preclinical studies indicate neuroprotective, cardioprotective, and hepatoprotective effects, while emerging clinical data support improvements in metabolic and inflammatory profiles in older adults. Taken together, GLP-1 RAs exert pleiotropic effects across all 12 hallmarks of aging. Although long-term safety and efficacy require further evaluation, current evidence positions GLP-1 RAs as promising therapeutic agents in translational geroscience, with the potential to mitigate age-related physiological decline and promote a longer, healthier lifespan.

Cortisol, the body’s primary glucocorticoid, is central to maintaining homeostasis through its regulation of metabolism, immunity, cardiovascular tone, and neurobehavioral functions. However, chronic dysregulation of the hypothalamic–pituitary–adrenal axis, whether from persistent psychological stress, lifestyle imbalance, or circadian disruption, contributes to diverse metabolic, psychiatric, and inflammatory disorders. This comprehensive review aims to explore cortisol physiology, mechanisms of dysregulation, and emerging strategies for restoring hormonal balance through integrative management. Conventional approaches such as pharmacotherapy and surgical interventions remain essential for severe endocrine disorders like Cushing’s syndrome and Addison’s disease; however, they inadequately address chronic, stress-related dysfunction. Nutritional modulation, sleep optimization, moderate physical activity, and mind-body therapies, including yoga, meditation, and mindfulness-based stress reduction, demonstrate measurable reductions in cortisol and inflammatory cytokines. Adaptogenic botanicals such as Withania somnifera, Ocimum tenuiflorum, Rhodiola rosea, and Panax ginseng exhibit robust evidence for normalizing cortisol and enhancing resilience through hypothalamic–pituitary–adrenal axis modulation. Complementary modalities such as acupuncture, naturopathy, and homeopathy show potential in improving autonomic and neuroendocrine balance. By synthesizing biomedical, nutritional, psychological, and traditional perspectives, this review proposes an integrated model of cortisol management that harmonizes physiology and behavior. Such multidimensional frameworks offer promising, evidence-based pathways for mitigating stress-related diseases and promoting holistic well-being.

Metabolic dysfunction-associated fatty liver disease (MAFLD) has become one of the leading causes of chronic liver diseases in China, imposing a substantial and growing burden on the healthcare system. Considering the large number of individuals affected by MAFLD and the gap in disease management capacity at the primary care level, standardized guidance tailored to primary healthcare settings is urgently needed. In response, the Chronic Disease Management Branch of the China Medical Biotechnology Association convened a multidisciplinary working group incorporating hepatologists, general practitioners, and other specialists to initiate the first China national Guidelines for Diagnosis and Management of Metabolic Dysfunction-associated Fatty Liver Disease in Primary Care (2025). These guidelines provide recommendations and suggestions covering screening, risk assessment, diagnosis, treatment, referral pathways, and follow-up tailored for primary care institutions, thereby improving the long-term outcomes for the population with MAFLD and comprehensively strengthening the role of primary healthcare in chronic liver disease management.

Dubin-Johnson syndrome (DJS) and Rotor syndrome (RS) are rare, autosomal recessive disorders that result in chronic, predominantly conjugated hyperbilirubinemia without cholestasis or hepatocellular injury. Although both conditions are benign and non-progressive, they reflect distinct molecular defects in hepatocellular transport pathways. DJS arises from mutations in the ABCC2 gene encoding the canalicular transporter multidrug resistance–associated protein 2, leading to impaired biliary excretion of conjugated bilirubin and organic anions. In contrast, RS results from combined deficiencies of the sinusoidal transporters OATP1B1 and OATP1B3, encoded by SLCO1B1 and SLCO1B3 genes, respectively, which mediate hepatic reuptake of conjugated bilirubin from the sinusoidal blood. These defects explain the characteristic biochemical and clinical distinctions between the syndromes, including the black hepatic pigmentation and markedly elevated urinary coproporphyrin I fraction in DJS, and the absence of pigmentation with moderate coproporphyrin I predominance in RS. Recent studies have expanded the understanding of how these transporters influence not only bilirubin handling but also the hepatic disposition of various drugs and endogenous metabolites. Recognition of DJS and RS is essential to prevent misdiagnosis of cholestatic or hepatocellular disease, avoid unnecessary investigations, and anticipate altered pharmacokinetics in affected individuals. This review synthesizes current evidence from molecular, biochemical, and clinical studies to highlight how these syndromes illuminate broader principles of hepatic transporter physiology and its relevance to inherited and acquired disorders of bilirubin metabolism.

Congenital portosystemic shunts (CPSS) are rare vascular anomalies characterized by abnormal communication between the portal and systemic venous systems, resulting in partial or complete diversion of portal blood away from the liver. These shunts can give rise to a broad spectrum of clinical manifestations, including hyperammonemia (with or without encephalopathy), hepatopulmonary syndrome, and portopulmonary hypertension. Notably, these complications often occur in the absence of portal hypertension. Advances in diagnostic imaging, particularly Doppler ultrasound, computed tomographic angiography, and magnetic resonance imaging, have enhanced the early detection and classification of CPSS. Treatment approaches vary depending on shunt type and clinical severity and may include interventional closure via embolization or surgical ligation. Most persistent or symptomatic shunts require immediate intervention. Recent studies have also identified potential genetic and embryological mechanisms contributing to CPSS development, offering new insights into their pathogenesis. This review aims to summarize current knowledge on the epidemiology, pathophysiology, clinical presentation, diagnostic evaluation, and management of CPSS, and to highlight their consideration in patients with hepatic encephalopathy or unexplained liver disease.

Familial hypobetalipoproteinemia (FHBL), caused by apolipoprotein B (APOB) variants, disrupts APOB-containing lipoprotein synthesis, leading to reduced serum total cholesterol, low-density lipoprotein cholesterol, and APOB. Heterozygous carriers are often asymptomatic, while homozygotes exhibit severe manifestations like malabsorption, vitamin deficiencies, and hepatic steatosis. In recent years, FHBL has attracted increasing attention due to its association with liver disease and its role as a unique monogenic model of steatotic liver disease independent of cardiometabolic risk factors. Mechanistically, lipid overload, endoplasmic reticulum stress, oxidative damage, and impaired autophagy may drive hepatocellular injury and fibrosis. Challenges include insufficient diagnosis, sparse epidemiological data, and unclear disease progression. Enhanced genetic testing, mechanistic research, and longitudinal studies are critical to improving diagnosis, risk assessment, and therapies for FHBL-associated liver disease.

Despite rapid advances in computational biology and regulatory reforms encouraging the reduction of animal use, a clear synthesis of how artificial intelligence (AI)-driven polypharmacology can function as a scientific and ethical bridge between traditional in vivo pharmacology and human-relevant drug development remains lacking. The shift from cage-based experimentation to code-based predictive modeling presents both opportunities and unresolved challenges in biological interpretation, regulatory acceptance, and pharmacology education. Therefore, this review aims to critically examine the transition toward AI-enabled, human-centric drug discovery within the framework of the 3R principles (Replacement, Reduction, and Refinement). Specifically, it explores (i) the global regulatory and ethical drivers accelerating non-animal methodologies, (ii) the scientific and educational gaps emerging from reduced dependence on animal models, and (iii) the role of AI and deep learning in reconstructing biological complexity through multi-omics integration and predictive toxicity modeling. By analyzing emerging AI platforms and computational strategies, this review highlights how AI-driven polypharmacology may offer a scalable, ethical, and precision-oriented framework for future pharmacological research.

Primary liver cancer is one of the most common malignant tumors in China, which seriously threatens people’s lives and health. In recent years, with the advancement of basic and clinical research, the diagnosis and treatment methods for primary liver cancer have been continually enriched. Traditional Chinese medicine (TCM) has played an important role in the diagnosis and treatment of primary liver cancer, but there is no unified standard for differentiation and treatment, and efficacy evaluation. In order to further standardize the TCM diagnosis and treatment of primary liver cancer, according to the requirements of TCM standardization and related technical guidance documents, the drafting team compiled this guideline through literature research, expert interviews, questionnaire surveys, consensus meetings, etc., for reference by clinicians. This guideline is approved and issued by the China Association of Chinese Medicine, standard number: T/CACM 1575-2024.

Precision medicine represents a paradigm shift in healthcare, emphasizing individualized approaches to disease prevention, diagnosis, and treatment based on a patient’s genetic, proteomic, and immunologic profile. In the field of oncology, this paradigm has gained traction, particularly with the integration of immunotherapeutic modalities. Among the most promising advancements are therapeutic cancer vaccines, which harness the body’s immune system to fight tumors more effectively. However, clinical translation remains limited by biological, manufacturing, regulatory, and evidentiary barriers. This mini-review highlights recent developments in therapeutic vaccine engineering, discusses key barriers to clinical translation, and summarizes selected findings from contemporary human clinical studies of personalized cancer vaccines. Particular attention is also given to biomarker-guided patient selection and the investigation of therapeutic cancer vaccines in adjuvant or minimal-residual-disease settings to reduce postoperative recurrence. Current evidence is promising but remains largely early-stage and does not yet establish broad clinical benefit.

The association between chronic inflammation and cancer has reshaped our understanding of tumorigenesis and cancer therapy. Inflammatory responses can both promote and suppress cancer, depending on the context and timing. Key molecular players, such as nuclear factor kappa-light-chain-enhancer of activated B cells, interleukin-6, signal transducer and activator of transcription 3, and a variety of immune cell types, including tumor-associated macrophages, myeloid-derived suppressor cells, and regulatory T cells, orchestrate an environment conducive to tumor survival, angiogenesis, metastasis, and immune evasion. In recent years, immunotherapy, particularly immune checkpoint inhibitors, has revolutionized cancer treatment. However, its success varies across tumor types and patients, underscoring the need to understand the tumor microenvironment and inflammatory context. This review examines the mechanistic underpinnings of inflammation-driven cancer, discusses translational research efforts targeting inflammatory pathways, and explores clinical applications, including the integration of immunotherapy with anti-inflammatory agents and biomarkers for personalized treatment. Future directions in the field include the application of artificial intelligence, microbiome research, single-cell technologies, and gene editing tools to further tailor therapies and overcome resistance mechanisms.