Malignant tumors represent a major threat to global health. Conventional anti-tumor pharmacotherapy often encounters challenges such as drug resistance, highlighting an urgent need for the development of novel therapeutic strategies. Fatty acid synthase (FASN), the key enzyme catalyzing de novo fatty acid synthesis, is subject to precise regulation at multiple levels, including transcriptional control, various post-translational modifications such as ubiquitination and phosphorylation, as well as modulation by diverse signaling pathways. Recent studies have revealed that FASN is aberrantly overexpressed in various malignant tumors and is closely associated with tumor progression and poor patient prognosis. FASN is a homodimer composed of seven functional domains that catalyzes the NADPH-dependent condensation of acetyl-CoA and malonyl-CoA to generate saturated fatty acids, primarily palmitic acid. Its stability is regulated by multiple ubiquitin ligases and deubiquitinating enzymes. Additionally, FASN is subject to upstream regulation via neural precursor cell-expressed developmentally downregulated 8 (Nedd8) modification and the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway, thereby establishing a metabolic-signaling positive feedback loop. As a core executor of metabolic reprogramming, FASN promotes tumorigenesis through dual mechanisms. First, its fatty acid synthesis product, palmitate, participates in membrane phospholipid synthesis, lipid raft formation, and protein palmitoylation, thereby activating several key oncogenic signaling pathways, including PI3K/AKT/mTOR, wingless-type MMTV integration site family member (Wnt)/β‑catenin, and signal transducer and activator of transcription 3 (STAT3)/matrix metalloproteinase (MMP), leading to tumor development and progression. Second, FASN plays a pivotal role in modulating the anti-tumor functions of immune cells and remodeling the tumor immune microenvironment. Specifically, FASN enhances immune checkpoint inhibition by inducing programmed death-ligand 1 (PD-L1) palmitoylation, suppresses the activation of cytotoxic T lymphocytes and natural killer cells, and promotes the polarization of M2-type macrophages, consequently facilitating tumor immune evasion and malignant progression. Precisely due to its significant overexpression in tumor cells, its critical functional role, and its differential expression compared to normal cells, FASN has emerged as a highly promising target for anti-tumor drug development. Highly selective small-molecule inhibitors, notably represented by TVB-2640, have advanced to clinical trial stages and demonstrated favorable anti-tumor activity. Furthermore, the combination of FASN inhibitors with other chemotherapeutic agents or targeted drugs can overcome the limitations of monotherapy through synergistic effects or by resensitizing tumor cells to conventional drugs, achieving a “1+1>2” therapeutic outcome. With the advancement of modern traditional Chinese medicine (TCM), numerous active ingredients derived from TCM have been confirmed to exert anti-tumor effects by modulating FASN-related pathways. This integrated approach leverages the precision of Western medicine while simultaneously harnessing the holistic regulatory benefits of TCM to alleviate the side effects of radiotherapy and chemotherapy. Despite the promising prospects of FASN-targeted therapies, challenges remain, including tumor cell metabolic plasticity, tumor context-dependent responses, and heterogeneity. This review systematically summarizes the molecular structure, physiological functions, and mechanisms of FASN in tumorigenesis, as well as recent advances in targeted therapies. Future directions—including the precise identification of responsive patient populations using spatial transcriptomics, the development of novel combination regimens, and the active exploration of integrative strategies combining traditional Chinese and Western medicine—will facilitate the clinical translation of FASN-targeted therapies and open new avenues for improving the quality of life and prognosis of cancer patients.

ObjectiveTo analyze the epidemiological and etiological characteristics of a cluster of human metapneumovirus (HMPV) infection in a kindergarten in Gongshu District of Hangzhou City in May 2024, and to provide reference for the prevention and control of similar outbreaks. MethodsAn on-site investigation was conducted using an epidemiological case investigation form. Throat swab specimens collected from cases were screened for 13 respiratory pathogens using real-time fluorescent polymerase chain reaction (PCR). For HMPV nucleic acid positive specimens, the F gene of HMPV was used as the target gene for amplification and sequencing. The sequencing results were then compared with sequences in GenBank database to determine the virus subtypes and perform phylogenetic analyses. ResultsThe outbreak occurred in a kindergarter junior class with a total of 28 preschoolers and 3 teachers and childcare workers. A total of 11 cases (10 preschoolers and 1 teacher) were identified, including 8 male cases and 3 female cases. Clinical manifestations included fever in all 11 cases (100.00%), cough in 8 cases (72.72%), catarrhal symptoms in 4 cases (36.36%), and headache in 3 cases (27.27%). All symptoms were mild, and no severe cases were observed. A total of 11 throat swab samples were collected. Real-time fluorescent PCR test results showed that 3 samples were positive for HMPV nucleic acid, 2 samples were positive for both HMPV and Streptococcus pneumoniae, and 1 sample was positive for both HMPV and rhinovirus. The sequences of the 6 HMPV nucleic acid positive specimens were amplified and analyzed using specific primers, and all were determined to be HMPV subtype A2b. The F gene fragment sequence showed the highest similarity to PV081665.1/Brazil/2024 (99.65%), and also exhibited high similarity to PP683455.1/Indonesia/2021 (99.48%), PV016275.1/Beijing/2024 (99.31%), and PV052230.1/USA/2024 (99.13%). ConclusionThis cluster of acute respiratory tract infection was caused by HMPV subtype A2b, with co-infection of rhinovirus and Streptococcus pneumoniae. The F gene fragment sequences of the HMPV in this outbreak were highly homologous to those of the A2b strains isolated from Brazil, Beijing, Indonesia, and the the United States.

Background: High-mobility group box protein 1 (HMGB1) is a chromatin-binding protein involved in arthritis, ischemia, sepsis, atherosclerosis, neurodegenerative disorders, meningitis, and cancer. HMGB1 exhibits dual roles in cancer, acting as either a tumor suppressor or oncoprotein depending on context. Objective: This research aimed to elucidate HMGB1’s functional significance in cutaneous squamous cell carcinoma (cSCC). Methods: We overexpressed HMGB1 in cSCC cell lines using recombinant adenovirus and examined its effects on cell proliferation, colony formation, and cell migration. Results: Immunohistochemical analysis revealed elevated HMGB1 expression levels in cSCC tissue relative to normal epidermis. To assess the influence of HMGB1, we employed recombinant adenoviruses expressing HMGB1 to transduce SCC cell lines (SCC12 and SCC13). Enhanced HMGB1 expression significantly promoted cellular proliferation and colony formation capacity.Notably, HMGB1 overexpression elevated the levels of proliferation regulators, including P63, SOX2, CDK4 and CDK6. Furthermore, HMGB1 overexpression substantially enhanced tumor invasiveness, accompanied by upregulation of epithelial-mesenchymal transition (EMT) biomarkers. Mechanistically, overexpression of HMGB1 enhanced transforming growth factor-β signaling by increasing phosphorylation of SMAD2/3, the key mediators of EMT. Conclusion These data imply that HMGB1 acts as a tumor-promoting factor in cSCC.

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.

Objective:To analyze the patterns of change of brain function among civil pilots in prospective memory tasks by using task-state functional magnetic resonance imaging (fMRI) and a cue-based repetitive search task.Methods:A total of 85 subjects were enrolled, including 47 civil pilots (pilot group) and 38 ordinary workers (control group). The task-state fMRI data during the execution of the prospective memory task was analyzed using a general linear model to find out about the activation patterns of brain functions in the 2 groups in the 3 phases of encoding, maintenance, and retrieval of the prospective memory task. The differences in activation patterns between the 2 groups and correlations between regions of interest and the rate of accuracy, reaction time and flying hours were analyzed.Results:The repeated measurement analysis of variance showed that there were no interactions of reaction time or of the rate of accuracy between the task and grouping ( P>0.05), and that the difference in the main effect of grouping was significant ( F=5.67, 15.46, P=0.020, <0.001). The difference in the main effect of grouping on the rate of accuracy was significant ( F=5.42, P=0.022), and the rate of accuracy in the pilot group was higher than in the control group ( P=0.048). In the phase of encoding, the activation in the bilateral cerebellum, bilateral superior frontal gyrus, bilateral fusiform gyrus, and temporal lobe regions decreased in the pilot group compared with the control group ( t=2.68-4.13, all P<0.05), while the activation in the fusiform gyrus and the right parietal superior gyrus increased, and the differences were statistically significant ( t=3.28, 3.35, 3.02, P=0.038, 0.024, 0.042). During the phase of maintenance, the pilot group showed significantly reduced activation in the bilateral cerebellum, bilateral medial superior frontal gyrus, bilateral middle occipital gyri, and the right middle temporal gyrus compared with the control group ( t=2.24-3.36, P<0.05 or 0.01). In the retrieval phase, activation in the right peri-calcarine cortex, bilateral caudate nuclei, and bilateral precentral and postcentral gyri was enhanced in the pilot group compared with the control group ( t=2.57-3.35, all P<0.05), especially in the right middle frontal gyrus ( t=3.12, P=0.007). In the encoding phase, activation was increased in the left fusiform gyrus and right parietal superior gyrus of the pilot group, which was positively correlated with flying hours in the last 3 months ( r=0.347, 0.418, P=0.020, 0.005). Conclusions:Due to long-term flights, the way in which such regions as the frontal lobe, cerebellum, and default mode network are activated in civil pilots is likely to undergo some changes during prospective memory activities, which is why they have higher processing efficiency when performing prospective memory tasks.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

In this work,a fluorescent probe PIN was synthesized using indole-3-carbohydrazide and pyrenecarboxaldehyde as raw materials.PIN showed weak fluorescence emission in aqueous solution with acetonitrile volume fraction of 70％.However,when Cu2+was added to this aqueous solution of PIN,a new fluorescence emission peak appeared at 495 nm,and the intensity of this peak gradually increased with the increase of concentration of Cu2+,and also caused a significant change in the fluorescence color of the solution.In contrast,the addition of 15 kinds of other common metal ions did not cause such change.The detection limit of PIN for Cu2+was 78.7 nmol/L,which was much lower than the maximum permitting level of Cu2+in drinking water in hygienic standard for drinking water in China.Therefore,PIN was a highly selective and sensitive fluorescence-enhanced probe for Cu2+.Meanwhile,the addition of Cu2+could also cause a new absorption peak at 440 nm in the ultraviolet-visible absorption spectrum of the aqueous solution of PIN,and meanwhile the colorless PIN solution changed into yellow,exhibiting the performance of PIN as a colorimetric probe for Cu2+.By fitting with the Levenberg-Marquardt algorithm equation,the binding ratio of PIN to Cu2+was 2:1,and the binding constant was 3.42×1012 L2/mol2.In addition,the binding mode of PIN with Cu2+was explored by using proton nuclear magnetic resonance(1H NMR)titration experiments and density functional theory simulations.The results showed that the addition of Cu2+could cause the aggregation of PIN molecules to form excimers,thus showing highly selective recognition.Finally,PIN was made into a simple test strip,which could achieve rapid and convenient fluorescence detection of Cu2+in actual water samples.

Objective:To explore the mechanism of resveratrol in treatment of sleep disorders in mice based on network pharmacology and experimental verification.Methods:Resveratrol targets were obtained through traditional Chinese medicine systems pharmacology database and analysis platform, Swiss Target Prediction and SuperPred databases. Targets related to sleep disorders were collected from the gene expression omnibus, GeneCards, DrugBank, OMIM, CTD and MalaCards databases. Cytoscape 3.8.0 software was used to identify the core targets of resveratrol in treatment of sleep disorders via protein-protein interaction analysis. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were performed, and AutoDockvina software was used to conduct molecular docking between the top five core targets and resveratrol. Thirty ICR female mice were selected and divided into a control group, a model group, and low-, medium- and high-dose (10, 20, and 30 mg/kg) resveratrol groups according to the random number table method, with 6 mice in each group. Resveratrol was dissolved in 0.9% sodium chloride aqueous solution and 3% dimethyl sulfoxide. For mice in the low-, medium-, and high-dose resveratrol groups, 10, 20, and 30 mg/kg of resveratrol solution were intraperitoneally injected, respectively. The mice in the control group and the model group were intraperitoneally injected with 10 ml/kg of 0.9 % sodium chloride aqueous solution and 3 % dimethyl sulfoxide. Each group was injected once a day for 7 consecutive days. After 7 days of administration, a mouse sleep deprivation model was constructed using an improved multi platform water environment method. The spatial recognition and memory abilities of mice were tested using the Y-maze experiment, and the mRNA and protein relative expression levels of estrogen receptor 1 (ESR1) and B-cell lymphoma-2 (Bcl-2) were detected using real-time reverse transcription-PCR and Western blotting, respectively. Comparisons were made using t-test. Results:There were 47 common targets between resveratrol and sleep disorders, and the top five core targets were ESR1, Bcl-2, cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1), cytochrome P450, family 2, subfamily A, polypeptide 4 (CYP3A4) and cytochrome P450, family 1, subfamily B, polypeptide 1 (CYP1B1). GO enrichment analysis revealed that resveratrol in treatment of sleep disorders was mainly related to the regulation of unsaturated fatty acid metabolic processes, secondary metabolic processes, and responses to exogenous stimuli. KEGG pathway analysis showed that resveratrol acted mainly through pathways involving chemical carcinogenic-DNA adducts, cytochrome P450 metabolism of exogenous substances and estrogen signaling pathways. Molecular docking results indicated that resveratrol had strong binding affinity with ESR1, Bcl-2, CYP1A1, CYP3A4 and CYP1B1, with binding energies of ?31.92, ?27.72, ?34.44, ?34.02 and ?31.92 kJ/mol, respectively. In vivo experiments results demonstrated that the novel arm residence time in the low-, medium- and high-dose resveratrol groups [(52±5, 55±7, and 61±9) s] was higher than that in the model group [(45±4) s] ( P<0.05 or 0.01), and the percentage of spontaneous alternation [(53±4)%, (57±5)%, and (65±7)%] was higher than that in the model group [(47±3)%] ( P<0.05 or 0.01). The relative expression levels of ESR1 mRNA (0.42±0.10, 0.49±0.11, and 0.58±0.10) were higher than those in the model group (0.29±0.06) ( P<0.05 or 0.01). The relative expression levels of Bcl-2 mRNA (0.56±0.07, 0.65±0.10, and 0.77±0.11) were higher than those in the model group (0.44±0.08) ( P<0.05 or 0.01). Similarly, the relative expression levels of ESR1 protein (0.32±0.02, 0.50±0.02, and 0.62±0.02) were higher than those in the model group (0.24±0.01) ( P<0.05 or 0.01). The relative expression levels of Bcl-2 protein (0.45±0.08, 0.69±0.06, and 0.72±0.06) were higher than those in the model group (0.17±0.04) ( P<0.05 or 0.01). Conclusions:Resveratrol exerts therapeutic effects on sleep disorders by acting on ESR1 and Bcl-2.