Hepatocellular carcinoma (HCC) is a lethal cancer with high morbidity rates worldwide. It is a major threat to public health in China, due to the combination of known and new risk factors, such as endemic hepatitis B virus (HBV), dietary aflatoxin exposure, and the occurrence of metabolic dysfunction-associated steatotic liver disease (MASLD). Although many methods for surveillance and multimodal therapies, such as surgery, local ablation, transarterial therapy, and new systemic agents, have been available, the survival rates of HCC remains poor. They have very limited durable responses, long post-treatment recurrence rates, and high resistance to treatment. This reflects an imperfect picture of the biological cause of the disease and a need for new mechanistic or targeted techniques. A significant characteristic of HCC, in common with other aggressive cancers, is the presence of reprogrammed, hyperactive cell metabolism. Tumor cells hijack metabolic pathways to promote their uncontrolled growth, stress survival, invasion and metastasis. While classical mechanisms such as the Warburg effect, lipid metabolism and glutamine utilization have been understood, the lysosome, which was once viewed as a static “waste disposal unit” to remove old organelles and proteins, is instead a dynamic signaling and metabolic core. The lysosomes incorporate nutrients, energy and stress signals by master regulators such as mTORC1 (activated on its surface) that balance anabolic growth and catabolic recycling to the cellular demands. In HCC, lysosomes are not passive, but are highly active and dysregulated. HCC cells upregulate lysosomes, which scavenge intracellular components via enhanced autophagy and engulf extracellular proteins via macropinocytosis, crucial for survival in the nutrient-poor, hypoxic tumor microenvironment. In addition to metabolism, lysosomes exhibit pro-invasive functions by secreting hydrolases to remodel the extracellular matrix, promote angiogenesis, and suppress stromal immune cells to foster a pro-tumor microenvironment. In a clinical context, lysosomes play an important role in therapeutic resistance: they sequester and inactivate chemotherapeutics via lysosomal sequestration, and enhanced autophagic flux protects the cell from therapy-induced damage, contributing to relapse, as lysosomal dysfunction is a key cause of treatment failure. This makes lysosomes promising yet challenging therapeutic targets in HCC. Recent preclinical and early clinical studies investigate multiple strategies to exploit the susceptibility of lysosomes: lysosome-specific agents, alkalinizing the lysosome lumen or inducing membrane permeabilization and lysosome-dependent cell death; pharmacological inhibition of key lysosomal enzymes or autophagy to impair nutrient recycling and stress adaptation; smart nanotherapeutic agents or antibody-drug conjugates, specifically activated in the acidic lysosomal environment or utilizing lysosomal pathways for efficient intracellular drug release; and combination strategies of lysosome-targeting agents with tyrosine kinase inhibitors or immunotherapy to overcome resistance and achieve synergistic antitumor effects. In summary, our review systematically presents the role of lysosomes in HCC, from metabolic reprogramming and microenvironmental adaptation to therapeutic resistance. By synthesizing the latest mechanistic insights and preclinical advances, this review highlights the indispensable role of lysosomes in the complex HCC biological network, emphasizing that an in-depth understanding of this dynamic organelle holds great promise for developing innovative, targeted therapies, offering new hope for improving the poor prognosis of global HCC patients.

arcopenia is a systemic skeletal muscle disorder characterized by a decrease in skeletal muscle mass and progressive decline in function， with multiple signaling pathways involved in its occurrence and development. Among them， the AMP-activated protein kinase （AMPK） signaling pathway， as a key pathway regulating cellular energy homeostasis， plays an important role in the regulation of skeletal muscle metabolism and functional maintenance by improving abnormalities in glucose and lipid metabolism， balancing skeletal muscle protein synthesis and degradation， improving mitochondrial function， promoting autophagy， and inhibiting inflammatory responses and oxidative stress. This article reviews the research progress on how various traditional Chinese medicine （TCM） monomers， including polyphenols， flavonoids， and terpenoids； various traditional Chinese medicine extracts， such as those from Lycium barbarum ， Asini Corii Colla， and Panax quinquefolium ， and TCM compounds， such as Guiqi zhuangjin decoction， Jianpi qiangji granules， and Qigu capsules， intervene in sarcopenia by regulating the AMPK signaling pathway to promote muscle protein synthesis， inhibit protein degradation， improve mitochondrial function， and alleviate inflammation and oxidative stress. Additionally， their molecular mechanisms are explored. The aim is to deeply elucidate the basis of TCM in the prevention and treatment of sarcopenia and to provide theoretical support for the development of related innovative drugs.

Objective: To investigate the correlation between color parameters (L^*, a^*, b^*, Eab^*) and the contents of reducing sugars, total polysaccharides, total oligosaccharides, as well as four saccharides (fructose, glucose, sucrose, and kestose) during the nine cycles of steaming and sun-drying processing of Polygonatum kingianum, and to preliminarily explore the optimal processing duration.
Methods: The color changes were objectively evaluated using a colorimeter. The anthrone-sulfuric acid method was employed to determine total polysaccharides and oligosaccharides. The 3,5-dinitrosalicylic acid (DNS) colorimetric method was used to measure total reducing sugar content. High-performance liquid chromatography coupled with charged aerosol detection (HPLC-CAD) was applied for quantitative analysis of fructose, glucose, sucrose, and kestose. Multivariate statistical analysis was conducted to assess samples from different processing stages.
Results: Significant variations in color and component contents were observed across processing stages. The herbal pieces progressively darkened with increased processing cycles: brightness (L^*) and total color difference (Eab^*) initially decreased then stabilized, while a^* (red-green) and b^* (yellow-blue) values first increased then declined. Total polysaccharides and oligosaccharides showed overall decreasing trends, whereas reducing sugars initially increased before stabilizing. Fructose and glucose levels rose continuously, while sucrose and kestose decreased progressively, becoming undetectable after five cycles.
Conclusion: The chromatic alteration and saccharide composition of P. kingianum showed significant correlation with processing duration. Both total color difference (Eab^*) and reducing sugar content stabilized after four processing cycles (12 hours), suggesting that four cycles of steaming and sun-drying may represent the optimal processing duration.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

AIM:To assess the influence of preoperative lacrimal passage probing and dilation on the therapeutic effectiveness of nasolacrimal silicone intubation in cases of incomplete primary acquired nasolacrimal duct obstruction(PANDO).METHODS: A retrospective case-control clinical study was conducted. The study included patients with incomplete PANDO who underwent nasolacrimal silicone intubation at the hospital between October 2022 and October 2024. Participants were categorized into two groups based on their receipt of nasolacrimal duct probing and dilation prior to intubation. Group A consisted of patients who had undergone one or more sessions of nasolacrimal duct probing and dilation before nasolacrimal silicone intubation, while Group B included patients who did not receive nasolacrimal duct probing and dilation before intubation. All patients had their nasolacrimal silicone tubes removed 3 mo postoperatively and were monitored for 6 mo following tube removal to evaluate surgical success rates.RESULTS: A total of 136 patients(152 eyes)completed the six-month follow-up period. The overall surgical success rate for both groups was 72.4%(110/152 eyes).Group A included 22 males and 36 females, mean age 58.09±11.07 y, and achieved a success rate of 82.8%(53/64 eyes), while Group B included 27 males and 51 females, mean age 59.35±8.84 y and attained a success rate of 64.8%(57/88 eyes). The difference in surgical success rates between the two groups was statistically significant(P=0.014). Furthermore, Group A achieved a complete success rate of 67.2%(43/64 eyes), compared to 47.7%(42/88 eyes)in Group B, with this difference also reaching statistical significance(P=0.017). No serious postoperative complications were observed in either group.CONCLUSION: Nasolacrimal silicone intubation is a safe and effective intervention for incomplete PANDO, with preoperative nasolacrimal duct probing and dilation potentially enhancing therapeutic outcomes.

Inorganic phosphate (Pi) is an essential nutrient for bacterial growth, metabolism and signal regulation. Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis, encounters restricted Pi availability inside host cells. The uptake and utilization of Pi are mainly accomplished by the phosphate-specific transport (Pst) system. The survival and pathogenicity of Mtb rely on its precise sensing and adaptation to the hostile intracellular environment. The Pst system not only mediates bacterial drug resistance, toxin production and invasion, but also regulates virulence expression, membrane vesicle biogenesis and the synthesis of the nucleotide signaling molecule (p)ppGpp via the Pst-SenX3-RegX3 signaling axis, exhibiting typical multifunctional characteristics. As a member of the ATP-binding cassette (ABC) transporter family, the Pst system in Mtb consists of PstS, PstC, PstA, PstB and PhoU-like proteins, with distinct physiological functions for different proteins and their isoforms.This review focuses on the molecular structure and function of key proteins in the Pst system, as well as the molecular mechanisms underlying Pi transport regulation and bacterial drug resistance, providing a reference for further exploring the relationship between this system and drug resistance, as well as the development of novel drugs targeting the Pst system.

The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified SmIAA7 which is potentially associated with Salvia miltiorrhiza leaf development through comparatively analyzed the transcriptome data from different pinnate leaves. SmIAA7 was successfully isolated from S. miltiorrhiza using the specific primers. Then subsequent bioinformatic analysis, prokaryotic expression and purification, subcellular localization, and induction expression analysis under auxin and abiotic stress were performed. The full-length of SmIAA7 contained an ORF of 684 bp encoding a protein of 227 amino acid with a molecular weight of 25.3 kD. Conserved domain analysis showed that SmIAA7 contains the conserved Aux_IAA domain (pfam02309). Sequence analysis and phylogenetic tree analysis results indicated SmIAA7 was phylogenetically close to IAA7 and IAA14 from other plants, suggesting SmIAA7 involved in plant growth and development as well as response to environmental stresses. The prokaryotic expression vector pET28a-SmIAA7 was constructed and SmIAA7 recombinant protein was successfully expressed in E. coli Rosetta (DE3) strain. Subcellular localization experiment demonstrated that SmIAA7 localized in the nucleus of plant cells. Real-time fluorescence quantitative PCR results showed that the expression level of SmIAA7 was upregulated in response to auxin. Drought, low temperature, and salt stress significantly increased the transcript level of SmIAA7 gene. This study lays a foundation for further elucidating the role of SmIAA7 in leaf development, signal transduction, and stress defense in S. miltiorrhiza.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Objective:To investigate the effect of traditional Chinese medicine chronic disease management model based on empowerment theory in patients with chronic heart failure(CHF).Methods:A total of 115 CHF patients admitted in Guangdong Provincial Hospital of Chinese Medicine between January 2020 and December 2021 were se-lected.Patients received traditional Chinese medicine chronic disease management model based on empowerment theory according to voluntary principle,and were followed up for 12 months.Exercise capacity,scores of Tradition-al Chinese Medicine Symptom Grading and Quantification Scale,Hospital Anxiety and Depression Scale(HADS)and Minnesota Living with Heart Failure Questionnaire(MLHFQ)were compared between before and after inter-vention.Results:Compared to before intervention,scores of Traditional Chinese Medicine Symptom Grading and Quantification Scale[(6.40±6.11)points vs.(8.88±6.72)points],HADS[(5.95±4.68)points vs.(7.69±5.95)points],MLHFQ[(13.10±10.54)points vs.(25.53±11.16)points]and 3m round-trip movement time[(7.54±1.70)s vs.(8.86±3.65)s]were significantly lower,and right hand grip strength[(27.23±10.49)kg vs.(26.10±9.94)kg]and 6-minute walking distance[(464.79±80.78)m vs.(415.55±79.33)m]were sig-nificantly higher after 12-month intervention(P＜0.05 or＜0.01).Conclusion:The traditional Chinese medicine chronic disease management model based on empowerment theory may improve clinical symptoms of traditional Chi-nese medicine,mental state,exercise capacity and quality of life in patients with chronic heart failure.

Objective:To observe the clinical effect of Cangfu Daotan Decoction combined with ethinylestradiol and cyproterone acetate,metformin in patients with spleen deficiency phlegm-dampness type polycystic ovary syndrome(PCOS)accompanied by insulin resistance.Methods:80 patients with PCOS accompanied by insulin resistance who were admitted to our hospital from June 2023 to June 2024 were included.The patients were divided into control group(treated with ethinylestradiol and cyproterone acetate,metformin)and study group(treated with modified Cangfu Daotan Decoction combine with ethinylestradiol and cyproterone acetate,metformin)by the random number table method,with 40 cases in each group.The total clinical effective rate,TCM syndrome score,sex hormone levels[prolactin(PRL),estradiol(E2),follicle-stimulating hormone(FSH),testosterone(T),and luteinizing hormone(LH)],insulin resistance indicators[fasting insulin(FINS),fasting blood glucose(FBG),homeostatic model assessment of insulin resistance(HOMA-IR)],and endometrial receptivity[pulsatile index(PI),resistance index(RI),endometrial thickness(ET),ovulation rate]and the occurrence of adverse reactions were compared between the two groups.Results:Compared with the control group after treatment,the total clinical effective rate,PRL,E2,FSH level,ET and the ovulation ratein the study group were higher,while the main symptoms,secondary symptoms,total score,T,LH levels,FBG,FINS levels,HOMA-IR,PI and RI were lower(P＜0.05).There was no difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion:Cangfu Daotan Decoction combined with ethinylestradiol and cyproterone acetate,metformin in patients with spleen deficiency phlegm-dampness type PCOS accompanied by insulin resistance,can improve the clinical symptoms,increase the total clinical effective rate,it may be related to the regulation of insulin resistance,sex hormone levels,and endometrial receptivity,it is safe and reliable.