Liver injury has become an increasingly serious global health problem， and existing chemical drugs face the limitations in efficacy and adverse reactions， resulting in the urgent need to develop safe and effective drugs. Recent studies have highlighted the potential of flavonoids from natural medicinal plants in the prevention and treatment of liver injury. As a typical natural flavonoid， luteolin shows a good protective effect against liver injury due to various etiologies， but there is still a lack of systematic elaboration on its mechanism of action. This article summarizes related research advances in China and globally and reviews the mechanism of action of luteolin in inhibiting oxidative stress， exerting an anti-inflammatory effect， regulating cell death， alleviating hepatic fibrosis， modulating lipid metabolism disorders， and regulating the gut-liver axis， as well as the application prospect of luteolin in the treatment of liver injury， in order to provide a scientific reference for further research on this compound.

Liver injury has become an increasingly serious global health problem， and existing chemical drugs face the limitations in efficacy and adverse reactions， resulting in the urgent need to develop safe and effective drugs. Recent studies have highlighted the potential of flavonoids from natural medicinal plants in the prevention and treatment of liver injury. As a typical natural flavonoid， luteolin shows a good protective effect against liver injury due to various etiologies， but there is still a lack of systematic elaboration on its mechanism of action. This article summarizes related research advances in China and globally and reviews the mechanism of action of luteolin in inhibiting oxidative stress， exerting an anti-inflammatory effect， regulating cell death， alleviating hepatic fibrosis， modulating lipid metabolism disorders， and regulating the gut-liver axis， as well as the application prospect of luteolin in the treatment of liver injury， in order to provide a scientific reference for further research on this compound.

Ulcerative colitis(UC) is a recurrent, chronic, nonspecific inflammatory bowel disease. The longer the course of the disease, the higher the risk of cancerization. In recent years, the incidence and mortality rates of colon cancer in China have been increasing year by year, seriously threatening the life and health of patients. Therefore, studying the mechanism of "inflammation cancer transformation" in UC and conducting early intervention is crucial. The "Kenang" theory is an important component of traditional Chinese medicine(TCM) theory of phlegm and blood stasis. It is based on the coexistence of phlegm and blood stasis in the body and deeply explores the pathogenic syndromes and characteristics of phlegm and blood stasis. Kenang is a pathological product formed when long-term Qi stagnation leads to the internal formation of phlegm and blood stasis, which is hidden deep within the body. It is characterized by being hidden, progressive, and difficult to treat. The etiology and pathogenesis of "inflammation cancer transformation" in UC are consistent with the connotation of the "Kenang" theory. The internal condition for the development of UC "inflammation cancer transformation" is the deficiency of healthy Qi, with Qi stagnation being the key pathological mechanism. Phlegm and blood stasis are the main pathogenic factors. Phlegm and blood stasis accumulate in the body over time and can produce cancer toxins. Due to the depletion of healthy Qi and a weakened constitution, the body is unable to limit the proliferation and invasion of cancer toxins, eventually leading to cancer transformation in UC. In clinical treatment, the focus should be on removing phlegm and blood stasis, with syndrome differentiation and treatment based on three basic principles: supporting healthy Qi to strengthen the body's foundation, resolving phlegm and blood stasis to break up the Kenang, and regulating Qi and blood to smooth the flow of energy and resolve stagnation. This approach helps to dismantle the Kenang, delay, block, or even reverse the cancerization process of UC, reduce the risk of "inflammation cancer transformation", improve the patient's quality of life, and provide new perspectives and strategies for early intervention in the development of colon cancer.
Humans ; Colitis, Ulcerative/immunology* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Cell Transformation, Neoplastic

The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional/methods* ; Humans

Liver failure is a common severe syndrome of liver diseases with high mortality. The function and structural integrity of the intestinal barrier as an entity are closely associated with the development and progression of liver failure. The cGAS-STING signaling pathway can participate in innate immune response by recognizing DNA produced by pathogen invasion and host cell damage and inducing the production of type I interferon. Numerous studies have shown that activation of the cGAS-STING pathway can significantly impact the cellular structure， mucosal components， and commensal bacteria of the intestinal barrier. This article reviews the interplay between the cGAS-STING signaling pathway and intestinal barrier disruption in liver failure， in order to provide novel insights for the clinical management of liver failure.

The clustered regularly interspaced short palindromic repeats (CRISPR)-Cas (CRISPR-associated proteins) is an adaptive immune system present in most bacteria and archaea, protecting them from infection by exogenous genetic elements. Due to its simplicity, cost-effectiveness, and precise gene editing capabilities, CRISPR/Cas technology has emerged as a promising tool for treating diseases. The continuous refinement of derivative systems has further broadened its scope in disease treatment. Nevertheless, the heterogeneous physiopathological nature of diseases and variations in disease onset sites pose significant challenges for in vivo applications of CRISPR systems. The efficiency of CRISPR systems in disease treatment is directly influenced by the performance of the delivery system. Additionally, concerns such as off-target effects present crucial hurdles in the clinical implementation of CRISPR systems. This review provides a comprehensive overview of the development of CRISPR systems, vector technologies, and their applications in disease treatment, while also addressing the challenges encountered in clinical settings. Furthermore, future research directions are outlined to pave the way for advancements in CRISPR-based therapies.

CRISPR/Cas9-based therapeutics face significant challenges in penetrating the dense microenvironment of solid tumors, resulting in insufficient gene editing and compromised treatment efficacy. Current nanostrategies, which mainly focus on the paracellular pathway attempted to improve gene editing performance, whereas their efficiency remains uneven in the heterogenous extracellular matrix. Here, the nanoCRISPR system is prepared with self-cascading mechanisms for gene editing-mediated robust apoptosis and transcellular penetration. NanoCRISPR unlocks its self-cascade capability within the matrix metallopeptidase 2-enriched tumor microenvironment, initiating the transcellular penetration. By facilitating cellular uptake, nanoCRISPR triggers robust apoptosis in edited malignancies, promoting further transcellular penetration and amplifying gene editing in neighboring tumor cells. Benefiting from self-cascade between robust apoptosis and transcellular penetration, nanoCRISPR demonstrates continuous gene transfection/tumor killing performance (transfection/apoptosis efficiency: 1st round: 85%/84.2%; 2nd round: 48%/27%) and homogeneous penetration. In xenograft tumor-bearing mice, nanoCRISPR treatment achieves remarkable anti-tumor efficacy (∼83%) and significant survival benefits with minimal toxicity. This strategy presents a promising paradigm emphasizing transcellular penetration to enhance the effectiveness of CRISPR-based antitumor therapeutics.

OBJECTIVES: To explore the correlation of serum tryptophan level with 90-day mortality risk in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). METHODS: This retrospective study was conducted among 108 patients with HBV-ACLF, whose survival outcomes within 90 days after diagnosis were recorded. The correlation of baseline serum tryptophan levels measured by high-performance liquid chromatography with 90-day mortality of the patients was analyzed, and the predictive value of serum tryptophan for 90-day mortality was explored. RESULTS: Within 90 days after diagnosis, 53 (29.4%) of the patients died and 127 (70.6%) survived. The deceased patients had significantly lower baseline serum tryptophan levels than the survivors (7.31±3.73 pg/mL vs 13.32±7.15 pg/mL, P<0.001). Multivariate analysis suggested that serum tryptophan level was an independent factor correlated with mortality of HBV-ACLF after adjustment for confounding variables. The patients with serum tryptophan levels below the median level (10.14 pg/mL) at admission had significantly higher 90-day mortality risks than those with higher tryptophan levels (43.3% vs 15.6%, HR: 3.157, 95% CI: 1.713-5.817), and the complication by kidney dysfunction further increased the risk to 73.3% as compared with patients with higher serum tryptophan levels with normal kidney function (15.0%; HR: 7.558, 95% CI: 3.369-16.960). Serum tryptophan levels had an area under the receiver operating characteristic curve of 0.771 (95% CI: 0.699-0.844) for predicting 90-day mortality. CONCLUSIONS Serum tryptophan level is closely correlated with the survival outcomes of patients with HBV-ACLF, and a decreased tryptophan level indicates a high 90-day mortality risk, which can be further increased by the complication by kidney dysfunction.
Humans ; Tryptophan/blood* ; Retrospective Studies ; Acute-On-Chronic Liver Failure/virology* ; Male ; Female ; Middle Aged ; Adult ; Prognosis ; Hepatitis B/complications* ; Hepatitis B virus

OBJECTIVES: To investigate the impact of hepatitis B virus (HBV) infection on oral microbiota and metabolites in patients with metabolic dysfunction-associated fatty liver disease (MAFLD) and the underlying mechanisms. METHODS: This prospective study was conducted in 47 MAFLD patients complicated with chronic hepatitis B (CHB) and 48 MAFLD patients without CHB enrolled from November, 2023 to January, 2024. Fasting tongue coating samples were collected from the patients for analyzing microbial community structures and metabolites using high-throughput 16S rDNA sequencing and non-targeted metabolomics techniques, and their associations with clinical indicators and biological pathways were explored using correlation analysis and functional annotation. RESULTS: The levels of fasting blood glucose, total cholesterol (TC), gamma-glutamyl transferase (GGT), and severity of fatty liver were all significantly lower in MAFLD+CHB group than in MAFLD group. Microbiota analysis showed that the abundances of Patescibacteria (at the phylum level), Hydrogenophaga, and Absconditabacteriales (at the genus level) were significantly increased, while the abundance of Megasphaera was decreased in MAFLD+CHB group. The differential microbiota were significantly correlated with TC, GGT and low-density lipoprotein (r=-0.68‒0.75). Metabolomics analysis revealed that 469 metabolites (including lipids and amino acids) were upregulated and 2306 (including organic oxygen-containing compounds and phenylpropanoids) were downregulated in MAFLD+CHB group, for which KEGG enrichment analysis suggested abnormal activation of the linoleic acid metabolism and glycerophospholipid metabolism pathways. Correlation analysis between microbiota and metabolites indicated that Patescibacteria and Megasphaera, which were positively correlated with lipid metabolites and negatively with fatty acid metabolites, respectively, jointly affected glycolipid metabolism and oxidative stress pathways. CONCLUSIONS Compared to patients with MAFLD alone, MAFLD patients with concurrent chronic HBV infection showed lower levels in some lipid metabolism indicators and the degree of hepatic steatosis, accompanied by alterations in oral microbiota structure and metabolic profiles. The precise mechanisms involved require further investigation to be fully elucidated.
Humans ; Lipid Metabolism ; Prospective Studies ; Microbiota ; Hepatitis B, Chronic/microbiology* ; Male ; Female ; Adult ; Fatty Liver/microbiology* ; Middle Aged ; Mouth/microbiology* ; Metabolomics

Hepatocellular carcinoma(HCC)is one of the most prevalent malignancies worldwide,and accurate prognostic assessment and treatment planning are vital for improving patient outcomes.Conventional prognostic models,which rely on limited clinicopathological parameters,often fail to capture the profound heterogeneity of HCC.In recent years,artificial intelligence(AI)-particularly machine learning and deep learning-has driven a paradigm shift in precision oncology by leveraging its powerful capabilities in data mining and pattern recognition.This review provides a comprehensive overview of recent advances in AI for prognostic assessment and treatment optimization in HCC,with an emphasis on key methodologies such as radiomics and multi-modal data integration.It further discusses the clinical potential and challenges of AI in predicting postoperative recurrence,evaluating therapeutic response,and supporting individualized treatment decisions,while also outlining future directions in this rapidly evolving field.The review aims to inform and facilitate the clinical translation of AI technologies into the management of HCC.