Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.

OBJECTIVE: To investigate the effects of liriodendrin on the intestinal flora and the ferroptosis signaling pathway in renal tissue of rats with sepsis-induced acute kidney injury (AKI). METHODS: Thirty male Sprague-Dawley (SD) rats were randomly divided into sham operation group (Sham group), sepsis model induced by cecal ligation and puncture group (CLP group), and liriodendrin intervention group (CLP+LIR group), with 10 rats in each group. The CLP+LIR group was given 0.2 mL of 100 mg/kg liriodendrin by gavage 2 hours before modeling; Sham group and CLP group were given the same volume of normal saline by gavage. The samples were collected after anesthesia 24 hours after modeling. The pathological changes of renal tissue were observed by hematoxylin-eosin (HE) staining. The levels of inflammatory factors such as tumor necrosis factor-α (TNF-α), interleukins (IL-1β, IL-6) were detected by enzyme linked immunosorbent assay (ELISA). The levels of renal function indicators such as creatinine (Cr), and urea nitrogen (UREA) in peripheral blood, and the content of malondialdehyde (MDA) and Fe²⁺ in renal tissue were detected. Western blotting was used to detect the expressions of nuclear factor E2-related factor 2 (Nrf2), glutathione peroxidase 4 (GPX4) and heme oxygenase-1 (HO-1) in renal tissues. The changes of intestinal flora were detected by 16S rDNA high-throughput sequencing. RESULTS: Compared with the Sham group, the CLP group showed significantly enlarged glomeruli, noticeable renal interstitial edema, disorganized kidney tissue, and significantly increased pathological scores. The contents of TNF-α, IL-1β, IL-6, Cr, and UREA in peripheral blood and the levels of MDA and Fe²⁺ in renal tissue were significantly increased. The protein expressions of Nrf2, GPX4, and HO-1 in renal tissue were significantly down-regulated. The species richness of intestinal flora decreased significantly, and the relative abundances of pathogenic bacteria such as Morganella, Citrobacter, Proteus, Klebsiella, Shigella, Aggregatibacter, and Enterococcus increased significantly, while the relative abundances of beneficial bacteria such as Butyricimonas, Veillonella, Prevotella, Lactobacillus, Bifidobacterium, and Ruminococcus decreased significantly. Compared with the CLP group, CLP+LIR group could significantly reduce the pathological damage of renal tissue, the pathological score significantly decreased (1.80±0.84 vs. 4.20±1.30, P < 0.05), and improve the composition of intestinal flora, reduce the relative abundances of pathogenic bacteria such as Proteus, Klebsiella, Shigella, Aggregatibacter, and Enterococcus, and significantly increase the relative abundances of Lactobacillus, Bifidobacterium, and Ruminococcus, significantly reduce the contents of TNF-α, IL-1β, IL-6, Cr, and UREA in peripheral blood and the levels of MDA and Fe²⁺ in renal tissue [blood TNF-α (ng/L): 191.31±7.23 vs. 254.90±47.89, blood IL-1β (ng/L): 11.15±4.04 vs. 23.06±1.67, blood IL-6 (ng/L): 163.20±17.83 vs. 267.69±20.92, blood Cr (μmol/L): 24.14±4.25 vs. 41.17±5.43, blood UREA (mmol/L): 4.59±0.90 vs. 8.01±1.07, renal MDA (μmol/g): 9.67±0.46 vs. 16.05±0.88, renal Fe²⁺ (mg/g): 0.71±0.07 vs. 0.93±0.04, all P < 0.05], and increase the protein expressions of Nrf2, GPX4, and HO-1 (Nrf2/GAPDH: 1.21±0.01 vs. 0.39±0.01, GPX4/GAPDH: 0.74±0.04 vs. 0.48±0.04, HO-1/GAPDH: 0.91±0.01 vs. 0.41±0.02, all P < 0.05). CONCLUSIONS Liriodendrin has an obvious protective effect on sepsis-induced AKI. The mechanism may involve regulating the intestinal flora, increasing the activation of the Nrf2/HO-1/GPX4 signaling pathway in renal tissue, and reducing ferroptosis.
Animals ; Acute Kidney Injury/microbiology* ; Rats, Sprague-Dawley ; Sepsis/complications* ; Male ; Ferroptosis/drug effects* ; Gastrointestinal Microbiome/drug effects* ; Rats ; Signal Transduction ; Kidney/metabolism* ; Tumor Necrosis Factor-alpha/metabolism*

Polyethylene (PE) is widely used due to its excellent properties. However, the improper disposal of PE waste has led to serious environmental pollution. Microbial degradation of PE is a low-carbon, environmentally friendly, and highly efficient method of homogeneous recycling. The use of microbial degradation technology to treat polyethylene waste has become one of the current research hotspots. As a result, employing microbial degradation technology to address polyethylene waste has become a key focus of current research. A PE-degrading strain ETX1 was screened from waste plastics in a landfill by the enrichment culture method. The strain was identified as Lysinibacillus sp.. After incubating PE powder with the strain for 20 days, a weight loss of 29.41% was observed. Fourier transform infrared spectroscopy (FTIR) showed that special absorption peaks such as carbonyl and hydroxyl groups appeared, proving that ETX1 had the effect of degrading PE. The degradation effect of this strain was characterized by the weight loss of PE film, FTIR, scanning electron microscopy, and contact angle. The results showed that ETX1 reduced the PE film weight by up to 5.23% within 120 days. The film structure was damaged, with holes formed by erosion on the film surface, and the hydrophilicity was enhanced. Additionally, a stronger carbonyl absorption peak appeared. The discovery of the PE-degrading strain ETX1 not only enriches the resources of PE plastic-degrading strains but also lays a foundation for mining efficient PE-degrading elements, obtaining degrading enzymes, and deciphering related degradation pathways.
Polyethylene/chemistry* ; Biodegradation, Environmental ; Spectroscopy, Fourier Transform Infrared ; Bacillaceae/classification* ; Plastics/metabolism*

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.

Purpose To investigate the expression of SNRPA in gastric cancer and its effect on the proliferation,migration and invasion of gastric cancer cells.Methods The expression of SNRPA in gastric cancer tissues was ana-lyzed using The Cancer Genome Atlas(TCGA)database.The level of SNRPA was detected by immunohistochemistry(EnVision method),and its relationship with clinicopathological parameters was analyzed.Western blot was used to detect the expression of SNRPA in 15 cases of fresh gastric cancer and paracancerous tissues.The expression of SNRPA in MGC-803 and GES-1 cells was detected by immunofluorescence staining.The effects of SNRPA expression on the proliferation,migration and invasion of gastric cancer cell lines were determined by RNA interference technology and cell function assays,and the expression levels of Cyclin D1 protein and EMT-related proteins(E-cadherin,N-cadher-in)were detected by Western blot.Results The expression level of SNRPA in gastric cancer tissues was significantly higher than that in normal gastric mucosal tissues(P＜0.05),with an area under the curve(AUC)of 0.902 for diag-nostic accuracy.The Kaplan-Meier survival curves showed that the survival time of the group with high expression of SNRPA was shorter.SNRPA expression correlated with tumor size,Ki67,infiltration depth,and p53 status(P＜0.05).Compared with the corresponding control group,SNRPA silencing inhibited the proliferation,migration and in-vasion ability of gastric cancer cells,accompanied by decreased Cyclin D1 and N-cadherin expression and increased E-cadherin expression(P＜0.05).Conclusion SNRPA expression is upregulated in gastric cancer tissues and cell lines,promoting the proliferation,migration,and invasion of gastric cancer cells,and may be a potential molecular marker for gastric cancer.

Objective To develop a prognostic risk model for anoikis-related genes(ANRs)in bladder cancer,calculate risk scores,and analyze the relationship between bladder cancer patients with high and low risk scores and the tumor microenvironment.Methods Prognosis-related ANRs and clinically independent risk factors were screened by public database information and Cox regression analysis.Prognostic risk modeling was performed by least absolute shrinkage and selection operator(LASSO)analysis and column-line diagrams.Prognostic risk model accuracy was validated by kaplan-meier survival analysis and area under receiver operating characteristic curve(ROC)curve(AUC).The relationship between risk score and tumor microenvironment was explored by CIBERSORT(https://cibersortx.stanford.edu/)and single sample gene set enrichment analysis(ssGSEA).Results The prognostically relevant ANRs were B-lymphoblastoma-2-associated promoter(BAD),cell cycle protein-dependent kinase inhibitor 3(CDKN3),and proliferating cell nuclear antigen(PCNA),and the clinically independent risk factors were gender,age,clinical stage(T,N),and risk score.The prognostic risk model was expressed as risk score=(0.155 2 × BAD expression)+(0.2286 × CDKN3 expression)+(0.0114×PCNA expression)and column line graph.The lower the risk score the better the prognosis of bladder cancer patients,the AUC of the survival curves for 1,3 and 5 years were 0.732,0.620 and 0.541,respectively,and the column line graphs of the 1-,3-and 5-year calibration curves almost corresponded diagonally,reflecting the accuracy of the model.The high and low risk groups of the prognostic risk model showed great differences in immune cell infiltration in the tumor microenvironment of bladder cancer.Conclusion The established prognostic risk model for bladder cancer loss of apoptosis-related genes is highly accurate and can better assess the prognosis of bladder cancer patients,and bladder cancer patients with high and low risk scores are closely related to the tumor microenvironment.

In order to explore the effects of lipopolysaccharide(LPS)on the repair of bovine endo-metrial stromal cells(BESCs)during inflammatory response,BESCs were treated by LPS in this study.Cell apoptosis rate was detected using flow cytometry,cell viability was measured using the CCK-8 assay,cell migration ability was observed using a scratch assay,and the expression of con-nective tissue growth factor(CTGF),transforming growth factor-beta 3(TGF-β3)and vascular endothelial growth factor(VEGF)mRNA was measured using qRT-PCR.Additionally,the expression of key proteins in the PI3K/AKT and Wnt/β-catenin signaling pathways was assessed using Western blot analysis.The results showed that cell viability of BESCs significantly decreased(P＜0.01),cell migration ability decreased(P＜0.05),apoptosis rate of BESCs increased(P＜0.01),CTGF and TGF-β3 mRNA expression levels decreased(P＜0.01),while VEGF mRNA ex-pression increased after treatment with LPS(P＜0.01).The phosphorylation levels of PI3K,AKT and GSK-3β proteins decreased(P＜0.05),as well as the expression levels of c-Myc and Cyclin-D1 proteins also decreased(P＜0.01).These results indicated that LPS can inhibit the proliferation of BESCs and promote cell apoptosis possibly through the inhibition of the PI3K/AKT and Wnt/β-catenin signaling pathways.

Objective To explore the shared mechanisms of genes related to three common chronic diseases non-alcoholic fatty liver disease(NAFLD),type 2 diabetes mellitus(T2DM)and atherosclerosis(AS)with ageing as well as potential therapeutic agents by using bioinformatics analysis,machine learning algorithms and molecular docking methods and techniques.Methods Ageing-related genes were collected and organized from AgeingAtlas,CellAge,GenAge,and MSigDB databases.After taking the intersection of genes related to NAFLD,T2DM and AS obtained from databases such as CTD,DisGeNET,GeneCards,OMIM,PharmGKB,and TTD and the gene sets obtained based on the GEO differential gene analysis,we obtained the set of related disease genes for these three common chronic diseases.The KEGG pathway enrichment analysis was performed on the ageing gene set and the three disease-related gene sets using the clusterProfiler package,and the intersection was taken.The enriched genes in the KEGG pathway were merged and imported into the STRING database;the PPI network was constructed.We analyzed the core sub-modules in the PPI network using the MCODE tool and calculated the essential values of Nim and Cim for each node and module.Meanwhile,three machine learning models were used to screen the feature genes:the Lasso regression model,the Boruta algorithm,and the random forest model.The HIT2.0 database was utilized to find the targeted TCM small molecules related to the key feature genes.Small molecules were evaluated and analyzed by ADMET using SwissADME and ADMETlab 3.0 online system.The molecular docking method was utilized to dock the key action targets and screen small molecules.Results A total of 1 325,616,78,and 597 genes related to ageing,NAFLD,T2DM,and AS were obtained.The KEGG pathway enrichment analysis results for ageing and the three diseases were taken to intersect to get two shared intersecting pathways containing 243 genes.The PPI network was constructed,and Cluster 2 had the highest Cim value among the three core submodules.According to the results of signature gene screening,combined with PPI network module analysis results,four signature genes related to ageing were found:CDK6,CDKN1A,MYC,and PTEN.These four targets have 94 potential TCM small molecule candidates,among which resveratrol(RSV)is a TCM small molecule common to these four targets.The ADMET evaluation showed that it had good drug-forming properties.The PTEN target had a high Nim value,and molecular docking of RSV with PTEN showed good binding stability.Conclusion A potential herbal small molecule,RSV,was identified from the perspective of ageing,which may prevent and treat three common chronic diseases,namely,NAFLD,T2DM and AS,by regulating the key gene PTEN.

Objective:To evaluate the diagnostic value of image enhancement endoscopy (IEE) for sinonasal malignant tumors.Methods:Patients with nasal neoplasms at the Department of Otorhinolaryngology Head and Neck Surgery at Beijing Tongren Hospital from January 2019 to December 2021 were examined using white light endoscopy (WLE) and IEE. Targeted biopsy was performed after image collection, and the images were analyzed by two blinded observers. Pathological diagnosis was compared with endoscopic findings. Diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated, and P<0.05 was statistically significant. Kappa(k) was employed to assess consistency between endoscopic and histopathological diagnoses. The vascular patterns of sinonasal malignancy were compared with Ni endoscopic classification.Results:This study ultimately included 193 patients with nasal tumors, and 41 cases (21.24%, 41/193) were comfirmed histopathologically with sinonasal malignancies. WLE correctly diagnosed 18 cases (43.90%, 18/41), while IEE diagnosed 28 cases (68.29%, 28/41). Among the 41 malignancies, 28 cases (68.29%, 28/41) showed patchy/punctate patterns and tortuous vessels (Ni type Ⅴ). All 14 squamous epithelium-derived malignancies (34.15%, 14/41) had Ni type Ⅴ vessels. Of 27 non-squamous malignancies, 14 cases (34.15%, 14/41) were Ni type Ⅴ, 7 cases (17.07%, 7/41) were false negatives, 6 cases (14.63%, 6/41) that their vessels were obscured by necrotic tissue. Compared to WLE, IEE had higher sensitivity (80.00% vs 51.42%), specificity (98.68% vs 96.69%), PPV (93.33% vs 78.26%), NPV (95.51% vs 89.57%), diagnostic consistency (95.16% vs 88.17%), and κ value (0.832 vs 0.554). Conclusions:IEE improves the endoscopic diagnosis of sinonasal malignancies. Ni type Ⅴ is suitable for the diagnosis of malignant tumors of squamous epithelial malignant tumors.

Objective To analyze the effects of irbesartan(IBN)regulating the stromal cell-derived factor-1(SDF-1)/CXC chemokine receptor 4(CXCR4)pathway on proliferation,migration,and radiosensitivity of lung cancer cells.Methods Human lung cancer A549 cells were randomly divided into the A549 group(without treatment),radiation group(4 Gy X-ray radiation),IBN group(1 μmol/L IBN treatment for 24 hours),IBN+radiation group(1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation),pcDNA3.1 group(transfected with pcDNA3.1+1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation),and SDF-1 group(transfected with pcDNA3.1 SDF-1+1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation).The cell viability,colony formation,apoptosis,and migration of each group were observed.The leakage rate of lactate dehydrogenase(LDH)and Ang Ⅱ levels in cells were detected.Immunofluorescence method was applied to analyze the number of γH2AX focal points of cells in each group.Western blot was applied to detect the expression of proliferation and apoptosis related proteins and SDF-1/CXCR4 pathway related proteins.Results Both radiation and IBN treatment inhibited the proliferation and migration of A549 cells,promoted cell apoptosis,upregulated the number of γH2AX focal points and LDH leakage rate,upregulated the expression of Caspase-3,Bax,and Caspase-7,and downregulated the level of Ang Ⅱand expression of SDF-1,CXCR4,Bcl-2 and PCNA(P<0.05).The combined treatment of radiation and IBN further enhanced the changes of the above indicators(P<0.05).And SDF-1 treat-ment effectively reversed the effects of radiation and IBN treatment on the changes of the above indicators(P<0.05).Conclusion IBN can limit proliferation and migration of lung cancer cells,and increase radiosensitivity by inhibiting the SDF-1/CXCR4 pathway.