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.

Background Depressive symptoms have become a significant factor affecting the physical and mental health of the occupational population, and workers in petroleum refining enterprises face multiple stressors in their work environment. Objective To explore the impact of occupational noise exposure on depressive symptoms among workers in a petroleum refining enterprise. Methods This cross-sectional study was conducted in July 2024 using a questionnaire survey among workers of a petroleum refining enterprise in Hainan Province. Basic information of the subjects was collected. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms, the Chinese version of the Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality, and the Chinese version of the Effort-Reward Imbalance (ERI) scale was used to evaluate occupational stress. Chi-square test was employed to compare the differences in reporting depressive symptoms among populations with different characteristics. Binary logistic regression models were used to analyze the impact of occupational noise exposure and other factors on depressive symptoms. Results The overall positive rate of depressive symptoms in the study population was 42.7%. The results of the multifactor analysis indicated that compared with the control group, employees in both the low-exposure and high-exposure groups had elevated odds of depressive symptoms, with OR (95%CI) of 2.244 (1.131, 4.454) and 1.970 (1.009, 3.850), respectively. This association remained robust after adjusting for potential confounders, including gender, age, work tenure, and other occupational exposures. Additionally, female [OR (95%CI)=1.483 (1.039, 2.118)], exposure to benzene, toluene, or xylene [OR (95%CI)=1.621 (1.208, 2.174)], sleep disturbance [OR (95%CI)=3.772 (2.942, 4.838)], and occupational stress [OR (95%CI)=2.018 (1.575, 2.585)] were also significantly associated with higher odds of depressive symptoms. Conclusion The positive rate of depressive symptoms is relatively high among employees in this petrochemical enterprise, and occupational noise exposure may be a risk factor for depressive symptoms.

OBJECTIVE To systematically analyze the compatibility stability of commonly used intravenous antibiotics in the intensive care unit （ICU）， and to provide evidence-based support for rational clinical drug use. METHODS Medication data from the ICU of Hebei General Hospital between January and December 2024 were extracted from the Prescription Automatic Screening System. Commonly used intravenous antibiotics and other intravenous drugs in the ICU were selected through consultations with critical care and pharmacy experts in Hebei province， drug package inserts and compatibility information retrieved from Micromedex， Trissel’s Injectable Drug Handbook and PubMed. The physicochemical stability of drug combinations was analyzed. In addition， Cytoscape 3.10.2 software was used to construct a drug compatibility network for identifying high-risk drugs. RESULTS &CONCLUSIONS A total of 904 pairwise drug combinations involving 16 antibacterial agents and 65 intravenous drugs were collected. Among them， 549 combinations （60.7%） were compatible， 88 combinations （9.7%） were incompatible， 82 combinations （9.1%） had conflicting evidence， and 185 combinations （20.5%） lacked valid data support. High-risk combination drugs primarily involved Amphotericin B for injection， Ceftazidime for injection， Imipenem-cilastatin for injection， Ceftriaxone sodium for injection， Vancomycin hydrochloride for injection， etc. The main risk factors for drug-drug incompatibility included drug concentration， temperature， mixing rate， pH， and chemical structure. In clinical practice， drugs and diluents should be selected rationally based on specific compatibility data， and research and monitoring of drug compatibility should be further strengthened.

Acute esophagogastric variceal bleeding （AEGVB） is one of the life-threatening complications of decompensated cirrhosis. Endoscopy is the main method for the diagnosis and treatment of AEGVB， and endoscopic treatment can effectively control acute bleeding and alleviate or eliminate varices. However， there is still a lack of consistent recommendations for the timing of endoscopic examination and intervention for AEGVB in related guidelines in China and globally. Existing studies in China and globally have low quality of evidence， with significant variations in the definition of “early endoscopy” and inconsistent conclusions. This article reviews the research advances in the timing of endoscopic treatment for AEGVB in liver cirrhosis， points out the controversies over the optimal timing of treatment， and discusses future research directions in this field.

OBJECTIVE To investigate the stability and compatibility of butorphanol， nicardipine， urapidil， and tirofiban. METHODS A micro-infusion pump was used to simulate the infusion process. Samples were collected in real time from the needle tip at 0， 2， 4， 6， and 8 h after mixing of the four drugs. The appearance， pH， and number of insoluble particles were examined. The contents of butorphanol， nicardipine， urapidil， and tirofiban were determined using the ultra-high-performance liquid chromatography method. RESULTS Within 8 hours， all mixed solutions remained clear and transparent， with no visible turbidity， precipitation， color change， or gas generation. The pH fluctuation ranged from 0.02 to 0.09， both within 0.1 pH units. The number of insoluble particles ≥10 μm in size in each compatibility solution was ≤9， and the number of insoluble particles ≥25 μm was ≤2， meeting the requirements of the 2025 edition of the Chinese Pharmacopoeia （Volume Ⅳ）. The relative percentage contents of butorphanol， nicardipine， urapidil， and tirofiban at 8 hours after compatibility mixing ranged from 92.38% to 113.40%. CONCLUSIONS Within 8 hours under simulated clinical micro-infusion pump infusion conditions， the stability and compatibility of the mixed solution containing butorphanol， nicardipine， urapidil， and tirofiban were satisfactory.

It is considered that "turbid pathogen damaging the clear， and the loss of clarity and harmony regulation" is the core pathogenesis of esophageal precancerous lesions， with turbid pathogen persisting throughout the disease course. Turbid pathogen encompasses qi turbidity， phlegm turbidity， stasis turbidity， and toxin turbidity， closely related to dietary indiscretion， emotional disharmony， spleen-stomach deficiency， and kidney deficiency failing to consolidate. Turbid pathogen undergoes a dynamic evolution process of qi constraint generating turbid→ phlegm-stasis transforming into toxin→turbidity toxin harming the healthy qi， corresponding to the pathological alterations of hypoxia， inflammation and immunosuppression within the tumor microenvironment. The overall therapeutic principle is to remove turbidity and restore clarity. In the early stage， targeting the hypoxic tumor microenvironment， the suggested treatment method is opening constraint and dispersing the block， regulating qi and remove turbidity， with emphasis on soothing liver and regulating stomach， raising the clear and directing the turbid downward. In the middle stage， targeting inflammatory microenvironment， the treatment aims to clear toxin and dissipate nodules， resolve stasis and eliminate turbid， emphasizing phlegm-stasis elimination， turbid-toxin resolution， and concurrent stomach qi protection. In the late stage， corresponding to immunosuppressive microenvironment， the method of boosting qi， nourishing yin， reinforcing healthy qi， and eliminating turbidity can be used， with focus on spleen-stomach tonification， kidney essence replenishment， and healthy qi reinforcement to expel pathogenic factors.

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.