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.

Acute liver failure (ALF) is a severe hepatic injury associated with high short-term mortality. Our previous study found that 1,5-anhydroglucitol (1,5AG) levels correlate with clinical outcomes in patients with liver failure. This study aimed to explore the potential effects and mechanisms of 1,5AG in ALF.

An experimental model of ALF was established using LPS and D-GalN. 1,5AG was administered to mice by gavage before modeling. Empagliflozin was then administered to reduce 1,5AG levels in mice. Peroxisome proliferator-activated receptor alpha (PPARα) agonists were also used to explore the role of 1,5AG in mice with liver failure.

1,5AG pretreatment significantly increased ALT and AST levels, aggravated histological damage and hepatocyte apoptosis, and increased mortality in ALF mice. Transcriptomic analysis and western blot validation revealed that 1,5AG significantly inhibited the PPARα signaling pathway and its downstream target, fibroblast growth factor 21. Empagliflozin treatment reduced 1,5AG levels, alleviated liver injury and hepatocyte apoptosis, and promoted the PPARα signaling pathway in ALF. PPARα agonists effectively reversed the effects of 1,5AG on ALF, thereby alleviating liver damage, pathological injury, and hepatocyte apoptosis.

1,5AG exacerbated liver injury in ALF mice by inhibiting the hepatic PPARα pathway, thereby promoting hepatocyte apoptosis.

Predicting the malignant transformation of rectal precancerous lesions remains challenging because conventional Whole Slide Images (WSIs) capture morphological information but lack molecular insight. Multiomics data provide complementary biological signals that often precede visible morphological changes. This study aimed to develop an artificial intelligence (AI)-based multimodal framework integrating WSI and multiomics data for accurate early prediction of malignant transformation.

WSI patches (512×512 px at 20× magnification) and matched multiomics profiles were used for 450 rectal tissue samples from the publicly available The Cancer Genome Atlas dataset. A multimodal architecture was designed, employing a Vision Transformer (ViT-B/16) for WSI feature extraction and a Variational Autoencoder for multiomics representation learning. Features were fused via a cross-attention mechanism to capture inter-modality dependencies. Baseline models, including a convolutional neural network-only image model and an omics-only multilayer perceptron, were trained for comparison. Five-fold cross-validation was applied, with binary cross-entropy loss, the AdamW optimizer, early stopping, and hyperparameter tuning to ensure reproducibility.

The multimodal Vision Transformer–Variational Autoencoder fusion model outperformed unimodal baselines, achieving an accuracy of 0.892 ± 0.012 and an area under the receiver operating characteristic curve of 0.927 ± 0.009, corresponding to a 7–10% improvement over WSI-only and omics-only models. Cross-attention–based fusion improved prediction stability and classification performance, while interpretability analyses (Grad-CAM and SHAP) highlighted biologically meaningful histopathological regions and molecular feature contributions.

This study presents a robust and scalable AI-based framework for integrating WSI and multiomics data in rectal precancerous lesions. The model improves predictive precision compared with unimodal baselines and offers preliminary interpretability insights through attention mechanisms. These findings support the potential of multimodal AI for early cancer risk assessment and precision pathology.

Traditional Chinese medicine (TCM) is widely used in cancer care in China as an integral part of treatment. This study aimed to understand the motivations of cancer patients in China for adopting TCM in their treatment and to examine their communication with oncologists. Gaining insights into these factors can enhance culturally sensitive, patient-centered oncology care.

A consecutive sample of 287 outpatients with cancer was recruited. Sociodemographic and clinical data, TCM usage, primary reasons for adopting TCM, and communication about TCM with oncologists were collected. Descriptive statistics, binary logistic regression, and thematic analysis were used to analyze the data.

Patients’ primary reasons for choosing TCM fell into five main categories: (1) belief in the benefits of TCM itself, (2) recommendations from others (family, friends, or oncologists), (3) belief in the benefits of combining TCM with Western medicine (WM), (4) previous positive experiences with TCM, and (5) dissatisfaction with or intolerance to WM. Among the 103 patients who consulted external TCM providers, 65% disclosed this to their oncologists. A longer time since diagnosis was associated with a higher likelihood of disclosure, while employed patients were less likely to inform their oncologists. Oncologists’ responses varied, with 55% neither approving nor disapproving of external TCM prescriptions.

The primary reasons for TCM use were perceived benefits and recommendations from oncologists and family members. However, communication about TCM with oncologists remains inconsistent. Enhancing patient-provider communication through education and fostering the integration of TCM and WM can improve holistic cancer care.

Phenylethanoid glycosides (PhGs) are water-soluble natural compounds widely distributed in the plant kingdom, attracting significant attention from medicinal chemists due to their promising potential in pharmaceutical applications. PhGs exhibit a broad range of activities, including neuroprotective, hepatoprotective, anti-inflammatory, antioxidant, and immunomodulatory effects. This review aims to update the hepatoprotective effects of total PhG extracts and individual PhG compounds, as well as the underlying mechanisms. Additionally, we describe the structural characteristics, representative PhG compounds, and their structure–activity relationships. In brief, total PhG extracts can exert synergistic protection by reducing serum alanine aminotransferase/aspartate aminotransferase levels, suppressing oxidative stress, and attenuating inflammatory responses. Representative PhGs, including acteoside (verbascoside), echinacoside, forsythoside A (also known as forsythiaside A), and cistanoside A, protect against liver injury through modulation of the Nrf2/HO-1, NF-κB, MAPK, and TGF-β/Smad pathways, thereby regulating oxidative stress, inflammation, apoptosis, fibrosis, and lipid metabolism. Structurally, PhGs consist of a phenylethyl alcohol core, cinnamoyl residues, and glycosyl moieties. Structure–activity relationship analyses indicate that caffeoyl substitution, multiple phenolic hydroxyl groups, and optimal glycosylation patterns are key determinants of hepatoprotective efficacy.

The long-term clinical outcomes of patients with hepatitis B virus (HBV)-related cirrhosis receiving nucleos(t)ide analog (NA) therapy according to virological response patterns remain inadequately defined. This study aimed to investigate the association between virological response patterns and clinical outcomes in a large, long-term, real-world cohort.

This retrospective–prospective cohort study enrolled patients with HBV-related cirrhosis receiving NA therapy from 2009 to 2019. According to the serum HBV DNA levels during the initial two years of antiviral treatment, patients were categorized as having a complete (CVR) or partial virological response (PVR). Patients with CVR were further stratified according to their dynamic HBV DNA changes during follow-up into maintained virological response (MVR) or virological breakthrough (VBT) patterns. The primary clinical outcomes included hepatocellular carcinoma (HCC), acute-on-chronic liver failure, and liver-related death. Secondary endpoints included recompensation and progression to decompensation. Cox proportional hazards regression was used to assess the association between virological response patterns and clinical endpoints.

In total, 1,869 patients were enrolled. During a median follow-up of seven years, the MVR, VBT, and PVR rates were 65.4%, 26.5%, and 8.1%, respectively. The cumulative serum hepatitis B surface antigen (HBsAg) clearance rate was 9.8%. Moreover, 34.9% of patients with HBsAg < 100 IU/mL at baseline experienced HBsAg clearance. Compared with patients with VBT and PVR, those with MVR had a lower five- and ten-year cumulative incidence of HCC in both the compensated (five-year: 10.1% vs. 17.0%; ten-year: 14.2% vs. 33.6%; P < 0.001) and decompensated cirrhosis subgroups (five-year: 19.5% vs. 36.7%; ten-year: 25.7% vs. 49.7%; P < 0.001). Similarly, patients with MVR also had a lower cumulative incidence of liver-related death. Additionally, a higher hepatic recompensation rate was observed in patients with MVR than in those with VBT (34.1% vs. 22.5%, P < 0.001). Importantly, patients achieving HBsAg clearance and undetectable serum HBV DNA levels (“functional cure” during ongoing NA therapy) had the lowest five- and ten-year cumulative incidence of HCC (3.9% and 8.7%, respectively).

Patients with long-term MVR exhibited a lower incidence of HCC and liver-related death in both compensated and decompensated HBV-related cirrhosis subgroups, especially those achieving “functional cure.” However, more than 30% of patients experienced PVR or VBT during long-term NA antiviral therapy. These findings highlight the importance of long-term, rigorous monitoring after initial CVR to optimize outcomes and support clinical decision-making.

Extrahepatic cancers have been recognized as a significant outcome of metabolic dysfunction–associated steatotic liver disease (MASLD), which involves five cardiometabolic risk factors, including hypertension, and is associated with the tumorigenesis of several cancers or with anti-cancer treatment. We aimed to investigate the association between hypertension, liver fibrosis, and extrahepatic cancers in the MASLD population.

This multicenter cross-sectional study was based on a MASLD population from hospital-based databases across 11 centers nationwide in China, according to MASLD diagnostic criteria identified using keywords and ICD-10 codes. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between risk factors and extrahepatic cancers.

A total of 103,652 individuals with MASLD were identified, among whom 6,605 were diagnosed with extrahepatic cancers. The primary outcome revealed that hypertension was significantly associated with extrahepatic cancers (OR 1.14, 95% CI: 1.08–1.21), and its combination with hyperglycemia further increased this association (OR 1.36, 95% CI: 1.22–1.51). Risk factors for extrahepatic cancers included being over 40 years of age and female sex. Conversely, certain metabolism-based treatments were found to have potentially protective effects, including angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers, fibrates, GLP-1 receptor agonists, and thiazolidinediones. After adjusting for confounding factors, the fibrosis-4 (FIB-4) score was associated with extrahepatic cancers. In the hypertension subgroup, FIB-4 scores of 1.30–2.66, 2.67–3.47, and ≥ 3.48 were associated with extrahepatic cancers in individuals aged 35–64 years, consistent with findings in those aged ≥ 65 years of age with FIB-4 ≥ 2.

Hypertension combined with liver fibrosis is associated with extrahepatic cancers in patients with MASLD.