Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Depression, a prevalent mental disorder with significant socioeconomic burdens, underscores the urgent need for safe and effective non-pharmacological interventions. Recent advances in microbiome research have revealed the pivotal role of gut microbiota dysbiosis in the pathogenesis of depression. Concurrently, exercise, as a cost-effective and accessible intervention, has demonstrated remarkable efficacy in alleviating depressive symptoms. This comprehensive review synthesizes current evidence on the interplay among exercise, gut microbiota modulation, and depression, elucidating the mechanistic pathways through which exercise ameliorates depressive symptoms via the microbiota-gut-brain (MGB) axis. Depression is characterized by gut microbiota alterations, including reduced alpha and beta diversity, depletion of beneficial taxa (e.g., Bifidobacterium, Lactobacillus, and Coprococcus), and overgrowth of pro-inflammatory and pathogenic bacteria (e.g., Morganella, Klebsiella, and Enterobacteriaceae). Metagenomic analyses reveal disrupted metabolic functions in depressive patients, such as diminished synthesis of short-chain fatty acids (SCFAs), impaired tryptophan metabolism, and dysregulated bile acid conversion. For instance, Bifidobacterium longum deficiency correlates with reduced synthesis of neuroactive metabolites like homovanillic acid, while decreased Coprococcus abundance limits butyrate production, exacerbating neuroinflammation. Furthermore, elevated levels of indole derivatives from Clostridium species inhibit serotonin (5-HT) synthesis, contributing to depressive phenotypes. These dysbiotic profiles disrupt the MGB axis, triggering systemic inflammation, neurotransmitter imbalances, and hypothalamic-pituitary-adrenal (HPA) axis hyperactivity. Exercise exerts profound effects on gut microbiota composition, diversity, and metabolic activity. Longitudinal studies demonstrate that sustained aerobic exercise increases alpha diversity, enriches SCFA-producing genera (e.g., Faecalibacterium prausnitzii, Roseburia, and Akkermansia), and suppresses pathobionts (e.g., Desulfovibrio and Streptococcus). For example, a meta-analysis of 25 trials involving 1 044 participants confirmed that exercise enhances microbial richness and restores the Firmicutes/Bacteroidetes ratio, a biomarker of metabolic health. Notably, endurance training promotes Veillonella proliferation, which converts lactate into propionate, enhancing energy metabolism and delaying fatigue. Exercise also strengthens intestinal barrier integrity by upregulating tight junction proteins (e.g., ZO-1, occludin), thereby reducing lipopolysaccharide (LPS) translocation and systemic inflammation. However, excessive exercise may paradoxically diminish microbial diversity and exacerbate intestinal permeability, highlighting the importance of moderate intensity and duration. Exercise ameliorates depressive symptoms through multifaceted interactions with the gut microbiota, primarily via 4 interconnected pathways. First, exercise mitigates neuroinflammation by elevating anti-inflammatory SCFAs such as butyrate, which suppresses NF-κB signaling to attenuate microglial activation and oxidative stress in the hippocampus. Animal studies demonstrate that voluntary wheel running reduces hippocampal TNF‑α and IL-17 levels in stress-induced depression models, while fecal microbiota transplantation (FMT) from exercised mice reverses depressive behaviors by modulating the TLR4/NF‑κB pathway. Second, exercise regulates neurotransmitter dynamics by enriching GABA-producing Lactobacillus and Bifidobacterium, thereby counteracting neuronal hyperexcitability. Aerobic exercise also enhances the abundance of Lactobacillus plantarum and Streptococcus thermophilus, which facilitate 5-HT and dopamine synthesis. Clinical trials reveal that 12 weeks of moderate exercise increases fecal Coprococcus and Blautia abundance, correlating with improved 5-HT bioavailability and reduced depression scores. Third, exercise normalizes HPA axis hyperactivity by reducing cortisol levels and restoring glucocorticoid receptor sensitivity. In rodent models, chronic stress-induced corticosterone elevation is reversed by probiotic supplementation (e.g., Lactobacillus), which enhances endocannabinoid signaling and hippocampal neurogenesis. Furthermore, exercise upregulates brain-derived neurotrophic factor (BDNF) via microbial metabolites like butyrate, promoting histone acetylation and synaptic plasticity. FMT experiments confirm that exercise-induced microbiota elevates prefrontal BDNF expression, reversing stress-induced neuronal atrophy. Fourth, exercise reshapes microbial metabolic crosstalk, diverting tryptophan metabolism toward 5-HT synthesis instead of neurotoxic kynurenine derivatives. Butyrate inhibits indoleamine 2,3-dioxygenase (IDO), a key enzyme in the kynurenine pathway linked to depression. Concurrently, exercise-induced Akkermansia enrichment enhances mucin production, fortifies the gut barrier, and reduces LPS-driven neuroinflammation. Collectively, these mechanisms underscore exercise as a potent modulator of the microbiota-gut-brain axis, offering a holistic approach to alleviating depression through microbial and neurophysiological synergy. Current evidence supports exercise as a potent adjunct therapy for depression, with personalized regimens (e.g., aerobic, resistance, or yoga) tailored to individual microbiota profiles. However, challenges remain in optimizing exercise prescriptions (intensity, duration, and type) and integrating them with probiotics, prebiotics, or FMT for synergistic effects. Future research should prioritize large-scale randomized controlled trials to validate causality, multi-omics approaches to decipher MGB axis dynamics, and mechanistic studies exploring microbial metabolites as therapeutic targets. The authors advocate for a paradigm shift toward microbiota-centric interventions, emphasizing the bidirectional relationship between physical activity and gut ecosystem resilience in mental health management. In conclusion, this review underscores exercise as a multifaceted modulator of the gut-brain axis, offering novel insights into non-pharmacological strategies for depression. By bridging microbial ecology, neuroimmunology, and exercise physiology, this work lays a foundation for precision medicine approaches targeting the gut microbiota to alleviate depressive disorders.

Objective: To construct a quality control evaluation indicator system for the surveillance of common diseases among students, so as to provide a reference for the quality control of surveillance projects. Methods: Based on literature review and expert interviews, a preliminary framework and candidate indicators were developed from June to August in 2024. Twenty domain experts participated in two rounds of Delphi consultations conducted via email, providing importance ratings, judgment basis, familiarity levels, and feasibility assessments for each indicator. And a quality control evaluation indicator system for the surveillance of common diseases among students was ultimately constructed. Results: The consulted experts aged 33-53, with an average age of (45.25±5.03) years, were from government health administration departments( n =1), centers for disease control and prevention at different levels( n =16), academic and research institutions( n =3). Their work experience in school health related fields ranged from 6 to 33 years, with an average of (16.70±8.25) years. The activeness of experts in both rounds of consultation was 100%, the mean expert authority coefficient was 0.90, and the mean feasibility evaluation was 0.75. Kendall s W test showed that the expert coordination coefficient for the first round was 0.26, and for the second round, it was 0.33 ( P <0.01). After two rounds of expert consultation, a set of quality control evaluation indicators for the surveillance of common diseases among students was ultimately constructed, including 6 first level indicators, 19 second level indicators, and 37 third level indicators. Conclusion The scientifically developed evaluation indicator system facilitates high quality implementation of student common disease surveillance programs.

Octapeptin has strong antibacterial activity against Gram-negative bacteria such as Escherichia coli, Klebsiella pneumoniae and Acinetobacter baumannii, while it also has activity against some Gram-positive bacteria. This study used natural octapeptin A3 and B3 as lead compounds for structural modification. Twenty-one peptide derivatives (including A3 and B3) containing eight amino acid residues were prepared by solid-phase synthesis, and evaluated for antibacterial activity and renal cytotoxicity. Among them, three compounds 6, 7 and 17 exhibited broad-spectrum antibacterial activity and significantly enhanced the activity for Gram-positive bacteria while maintaining the activity of Gram-negative bacteria. Several compounds improved the activity for Pseudomonas aeruginosa. Compound 7 was active against all test strains and had relatively low renal cytotoxicity. The results provide a basis for the further development of novel polypeptide antibiotics.

The expression of vascular endothelial growth factor(VEGF)in ovarian cancer tissues is closely related to the degree of malignancy of ovarian cancer,and can be an effective target for ovarian cancer treatment.Bevacizumab,as a monoclonal antibody targeting VEGF,can inhibit tumor neovascularization and tumor growth,and is used for the treatment of ovarian cancer,cervical cancer,metastatic colorectal cancer and other malignant tumors.Bevacizumab administered by intraperitoneal perfusion has good efficacy for malignant ascites in tumor patients,and can alleviate patients'clinical symptoms.In recent years,more studies have explored the clinical application method,therapeutic efficacy and related adverse effects of bevacizumab intraperitoneal instillation in the treatment of ovarian cancer,and this article is a review in this field,aiming to provide reference for the clinical treatment of ovarian cancer.

Objective To investigate the inhibitory effect of mannose on proliferation and apoptosis of HeLa cells of cervical cancer and its effect on Wnt/β-catenin pathway.Methods Cervical cancer HeLa cells were cultured in vitro and divided into control group(without any treatment)and low,medium and high dose experimental groups(cells treated with 5,10 and 25 mmol·L-1 mannose).Cell counting kit 8(CCK-8)and flow cytometry were used to detect cell proliferation and apoptosis.The B cell lymphoma-2(Bcl-2),p21,Bcl-2 associated X protein(Bax)and Wnt/β-catenin pathway-related proteins were detected by Western blot.Results The cell inhibition rates of control group and low,medium,high dose experimental groups were(0.00±0.13)％,(11.25±3.42)％,(23.78±3.41)％and(35.98±4.52)％;apoptosis rates were(4.59±0.35)％,(11.45±1.32)％,(18.47±2.01)％and(25.69±2.43)％;p21 protein expression were 0.21±0.03,0.34±0.04,0.51±0.06 and 0.69±0.05;the Bcl-2 protein expression were 0.89±0.06,0.67±0.04,0.52±0.05 and 0.35±0.06;Bax protein expression were 0.34±0.05,0.49±0.06,0.65±0.07 and 0.81±0.06;Wnt1 protein expression were 0.74±0.07,0.60±0.05,0.46±0.05 and 0.32±0.04;β-catenin protein expression were 0.80±0.06,0.65±0.05,0.47±0.06 and 0.29±0.05.The above indexes showed statistically significant differences between control group and low,medium and high dose experimental groups(all P＜0.05).Conclusion Mannose inhibits proliferation and induces apoptosis of HeLa cells of cervical cancer,and the mechanism may be related to the inhibition of Wnt/β-catenin pathway.

ObjectiveTo investigate the therapeutic effect of ganoderic acid A （GA-A） on a mouse model of concanavalin A （ConA）-induced autoimmune hepatitis （AIH）. MethodsA total of 35 mice were randomly divided into control group （NC group）， model group （ConA group）， and low-， middle-， and high-dose GA-A treatment groups （GA-A-L， GA-A-M， and GA-A-H groups， respectively）， with 7 mice in each group. ConA was injected via the caudal vein of mice to establish a classic mouse model of AIH， and different doses of GA-A were administered via intraperitoneal injection 1 hour later for treatment. Proteomic techniques were used to investigate the protective mechanism of GA-A on hepatocytes， and HL-60 cells were differentiated into dHL-60 neutrophils by all-trans retinoic acid in vitro to validate the mechanism of action of GA-A. Related indicators were measured， including inflammatory markers （the activities of serum alanine aminotransferase ［ALT］ and aspartate aminotransferase ［AST］， HE staining， and inflammation-related genes）， apoptosis markers （TUNEL staining）， neutrophils， and neutrophil extracellular trap （NET） markers （myeloperoxidase ［MPO］， citrullinated histone H3 ［CitH3］， Ly6G， and free double-stranded DNA ［dsDNA］）， and p38 phosphorylation markers. The independent samples t-test was used for comparison of continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the NC group， the ConA group had significant increases in the serum levels of ALT and AST （both P<0.001）， and compared with the ConA group， GA-A treatment significantly reduced the levels of ALT and AST （both P<0.01）. HE staining showed that the mice in the ConA group had significant liver necrosis， while GA-A treatment significantly reduced the area of liver necrosis and the number of TUNEL-positive cells （both P<0.05）. Compared with the ConA group， the GA-A group had significant reductions in the expression levels of the inflammatory factors interleukin-6， tumor necrosis factor-α， and interferon gamma in serum and liver tissue （all P<0.05）. The proteomic analysis showed that GA-A alleviated ConA-induced acute immune liver injury by inhibiting the release of NET and the p38 MAPK pathway. Immunofluorescent staining of mouse liver tissue showed that compared with the ConA group， the GA-A group had significant reductions in the number of MPO-positive neutrophils and the number of cells with positive Ly6G and CitH3 （all P<0.01）. Western Blot and dsDNA testing showed that GA-A significantly inhibited the levels of the NET markers dsDNA and CitH3 and the level of p38 phosphorylation in liver tissue and dHL-60 cells （all P<0.05）. ConclusionGA-A alleviates liver inflammatory response and hepatocyte death by inhibiting the p38 MAPK pathway and the release of NET， thereby alleviating ConA-induced acute immune liver injury. This study provides a theoretical basis for the use of GA-A to treat immune liver injury by regulating neutrophil function.

Acupuncture, a therapeutic treatment defined as the insertion of needles into the body at specific points (ie, acupoints), has growing in popularity world-wide to treat various diseases effectively, especially acute and chronic pain. In parallel, interest in the physiological mechanisms underlying acupuncture analgesia, particularly the neural mechanisms have been increasing. Over the past decades, our understanding of how the central nervous system and peripheral nervous system process signals induced by acupuncture has developed rapidly by using electrophysiological methods. However, with the development of neuroscience, electrophysiology is being challenged by calcium imaging in view field, neuron population and visualization in vivo. Owing to the outstanding spatial resolution, the novel imaging approaches provide opportunities to enrich our knowledge about the neurophysiological mechanisms of acupuncture analgesia at subcellular, cellular, and circuit levels in combination with new labeling, genetic and circuit tracing techniques. Therefore, this review will introduce the principle and the method of calcium imaging applied to acupuncture research. We will also review the current findings in pain research using calcium imaging from in vitro to in vivo experiments and discuss the potential methodological considerations in studying acupuncture analgesia.
Calcium ; Acupuncture Therapy ; Acupuncture ; Acupuncture Analgesia/methods* ; Acupuncture Points ; Technology

The 2-(2-phenylethyl)chromones were separated from agarwood of Aquilaria agallocha Roxb. and their anti-KRAS mutant non-small cell lung cancer (NSCLC) activities were evaluated. 2-(2-Phenyethyl)chromones in agarwood were separated and purified by silica gel, RP-18 reverse phase silica gel, MCI gel CH20P, Diol, and semi preparative HPLC chromatography techniques, while the structures of the compounds were identified by extensive spectroscopic analysis, such as 1D and 2D NMR and ESI-MS. The cell counting kit 8 (CCK-8) assay was used to screen the anti-tumor activity of the isolated monomeric compounds on three KRAS-mutant NSCLC cells. The cell proliferation, cloning formation, adhesion ability, and cell cycle arrest activity of compound 8 were analyzed. Molecular docking and Western blot experiments were used to study the mechanism of compound 8. The in vivo anti-tumor activity of the compound 8 was evaluated by zebrafish cell derived xenograft (CDX) model. Nineteen known 2-(2-phenylethyl)chromones were isolated from the ethyl acetate extract of agarwood. On A549 (KRAS G12S) cells, compounds 8, 10, and 19 showed good inhibitory activity, on H23 (KRAS G12C) cells, compounds 7, 8, and 19 showed good inhibitory activity, and on H358 (KRAS G12C) cells, compounds 8, 10, and 16 showed good inhibitory activity. Compound 8 had the best inhibitory activity in all three cell lines. It effectively inhibited cell proliferation, clone formation, adhesion ability, and arrested the H23 cell cycle at G2/M phase. Compound 8 could also inhibit the expression of c-Met and its downstream signaling pathways, effectively inhibiting tumor growth in zebrafish CDX model. In conclusion, among the nineteen known 2-(2-phenylethyl)chromones, compound 8 had the best activity and significantly inhibited the proliferation of KRAS-mutant NSCLC cells by arresting the cells in the G2/M phase.