Objective: To investigate the protective effects and underlying mechanisms of sodium pyruvate (SP) on RBC storage lesions using an oxidative damage model. Methods: Six units of leukocyte-depleted suspended RBCs (discarded for non-infectious reasons within three days post-collection) were randomly assigned to four groups: negative control (NS), positive control (PS), experimental group 1 (SP1), and experimental group 2 (SP2). Oxidative stress was induced in the PS group by the addition of hydrogen peroxide (H O ), while SP1 and SP2 received SP supplementation at different concentrations (25 mM and 50 mM, respectively) in the presence of H O . After 1 hour of incubation, RBC morphology was assessed microscopically, and biochemical indicators including glutathione (GSH), malondialdehyde (MDA), methemoglobin (MetHb), adenosine triphosphate (ATP), and Na /K -ATPase activity were measured. Results: RBCs in the PS group exhibited pronounced morphological damage, including cell shrinkage and echinocyte formation, whereas both SP-treated groups showed significantly reduced structural injury. SP treatment led to elevated GSH levels and decreased concentrations of MDA and MetHb, suggesting attenuation of oxidative stress. Additionally, SP enhanced intracellular ATP levels and Na /K -ATPase activity, thereby contributing to membrane stability. Notably, the SP2 group (50 mM) demonstrated superior protective effects compared to SP1 (25 mM). Conclusion: Sodium pyruvate effectively attenuates oxidative storage lesions in RBCs, primarily through its antioxidant properties, energy metabolism supporting ability, and celluar membrane stabilizing function. These findings suggest SP as a promising additive for enhancing the quality and safety of stored RBCs.

ObjectiveTo study the tumor inhibition and T helper cell （Th）1/Th2 balance regulation effect of modified Wenyang Sanjie prescription on lung cancer tumor-bearing mice and to elaborate its mechanism. MethodsA mouse model bearing a lung cancer tumor was established by subcutaneous injection of Lewis lung cancer cells into the armpit and was randomly divided into lung cancer model group， low-dose， medium-dose， and high-dose groups of modified Wenyang Sanjie prescription， and positive control group， with 12 mice per group. The low-dose， medium-dose， and high-dose groups of modified Wenyang Sanjie prescription were given modified Wenyang Sanjie prescription by dosing at 2.5， 5， 10 g·kg^-1， once a day， respectively. The positive control group was intraperitoneally injected with cisplatin （2 mg·kg^-1）， once every other day， for a total of 30 days. Serum interferon （IFN）-γ， interleukin （IL）-2， IL-4， IL-6， and IL-10 were determined by enzyme-linked immunosorbent assay （ELISA）， and spleen index， thymus index， and tumor growth inhibition rate were calculated. Tumor microvascular density was determined by immunohistochemistry， and tumor hypoxia inducible-factor （HIF）-1α， epidermal growth factor receptor （EGFR）， and vascular endothelial growth factor （VEGF） mRNA were determined by Real-time quantitative polymerase chain reaction （PCR）. The protein levels of HIF-1α， EGFR， and VEGF were determined by Western blot. ResultsCompared with lung cancer model group， IFN-γ and IL-2 were increased in the modified Wenyang Sanjie prescription groups and positive control group， while IL-4， IL-6， IL-10， spleen index， thymus index， tumor weight， and tumor microvascular density were decreased， as well as HIF-1α， EGFR， and VEGF mRNA and protein levels （P<0.05）. Compared to the low-dose group of modified Wenyang Sanjie prescription， IFN-γ and IL-2 were increased in the medium-dose and high-dose groups of modified Wenyang Sanjie prescription， while IL-4， IL-6， IL-10， spleen index， thymus index， tumor weight， and tumor microvascular density were decreased， as well as HIF-1α， EGFR， and VEGF mRNA and protein levels （P<0.05）. IFN-γ and IL-2 were increased in the high-dose group of modified Wenyang Sanjie prescription compared to the medium-dose group of modified Wenyang Sanjie prescription， and IL-4， IL-6， IL-10， spleen index， thymus index， tumor weight， and tumor microvascular density were decreased， as well as HIF-1α， EGFR， and VEGF mRNA and protein levels （P<0.05）. ConclusionModified Wenyang Sanjie prescription can significantly inhibit microangiogenesis， regulate Th1/Th2 balance， inhibit tumor growth， and significantly inhibit the progression of lung cancer in mice.

ObjectiveTo study the tumor inhibition and T helper cell （Th）1/Th2 balance regulation effect of modified Wenyang Sanjie prescription on lung cancer tumor-bearing mice and to elaborate its mechanism. MethodsA mouse model bearing a lung cancer tumor was established by subcutaneous injection of Lewis lung cancer cells into the armpit and was randomly divided into lung cancer model group， low-dose， medium-dose， and high-dose groups of modified Wenyang Sanjie prescription， and positive control group， with 12 mice per group. The low-dose， medium-dose， and high-dose groups of modified Wenyang Sanjie prescription were given modified Wenyang Sanjie prescription by dosing at 2.5， 5， 10 g·kg^-1， once a day， respectively. The positive control group was intraperitoneally injected with cisplatin （2 mg·kg^-1）， once every other day， for a total of 30 days. Serum interferon （IFN）-γ， interleukin （IL）-2， IL-4， IL-6， and IL-10 were determined by enzyme-linked immunosorbent assay （ELISA）， and spleen index， thymus index， and tumor growth inhibition rate were calculated. Tumor microvascular density was determined by immunohistochemistry， and tumor hypoxia inducible-factor （HIF）-1α， epidermal growth factor receptor （EGFR）， and vascular endothelial growth factor （VEGF） mRNA were determined by Real-time quantitative polymerase chain reaction （PCR）. The protein levels of HIF-1α， EGFR， and VEGF were determined by Western blot. ResultsCompared with lung cancer model group， IFN-γ and IL-2 were increased in the modified Wenyang Sanjie prescription groups and positive control group， while IL-4， IL-6， IL-10， spleen index， thymus index， tumor weight， and tumor microvascular density were decreased， as well as HIF-1α， EGFR， and VEGF mRNA and protein levels （P<0.05）. Compared to the low-dose group of modified Wenyang Sanjie prescription， IFN-γ and IL-2 were increased in the medium-dose and high-dose groups of modified Wenyang Sanjie prescription， while IL-4， IL-6， IL-10， spleen index， thymus index， tumor weight， and tumor microvascular density were decreased， as well as HIF-1α， EGFR， and VEGF mRNA and protein levels （P<0.05）. IFN-γ and IL-2 were increased in the high-dose group of modified Wenyang Sanjie prescription compared to the medium-dose group of modified Wenyang Sanjie prescription， and IL-4， IL-6， IL-10， spleen index， thymus index， tumor weight， and tumor microvascular density were decreased， as well as HIF-1α， EGFR， and VEGF mRNA and protein levels （P<0.05）. ConclusionModified Wenyang Sanjie prescription can significantly inhibit microangiogenesis， regulate Th1/Th2 balance， inhibit tumor growth， and significantly inhibit the progression of lung cancer in mice.

Objective To investigate the value of cranial CT cisternal grading combined with D-dimer(D-D)and Glasgow Coma Scale(GCS)score in predicting the short-term postoperative prog-nosis of patients with severe traumatic brain injury.Methods A total of 165 patients with severe trau-matic brain injury who were treated in the hospital from January 2019 to May 2024 were selected as study subjects,all underwent craniotomy surgery.Postoperative follow-up was conducted for 3 months to analyze the differences in clinical data and preoperative indicators such as cranial CT cisternal grad-ing,D-D levels,and GCS scores between patients with poor and good prognosis.The value of cranial CT cisternal grading,D-D levels,and GCS scores in predicting short-term postoperative poor prognosis in patients with severe traumatic brain injury was also analyzed.Results Compared with patients with good prognosis,patients with poor prognosis had higher proportion of age,cranial CT cisternal grading of Ⅰ to Ⅱ,D-D levels,and GCS scores＜6(P＜0.05).There were no statistically significant differences in C-reactive protein,prothrombin time,activated partial thromboplastin time,international normalized ratio,total cholesterol,triglycerides,high-density lipoprotein cholesterol,and low-density lipoprotein cholesterol levels between patients with poor and good prognosis(P＞0.05).Cranial CT cisternal grading,D-D levels,and GCS scores were influencing factors for short-term postoperative poor prognosis in patients with severe traumatic brain injury(P＜0.05).The area under the curve for poor prognosis by three indicators in combination was 0.941(95％CI,0.906 to 0.975),which was higher than the area under the curve for the individual predictions of cranial CT cisternal grad-ing,D-D levels,and GCS scores(P＜0.05).Conclusion The influencing factors for short-term postoperative prognosis in patients with severe traumatic brain injury include cranial CT cisternal grading,D-D levels,and GCS scores.The model based on these three indicators has certain appli-cation value in predicting patient prognosis.

Understanding the metabolism of endogenous and exogenous substances in the human body is essential for elucidating disease mechanisms and evaluating the safety and efficacy of drug candidates during the drug development process.Recent advancements in artificial intelligence(AI),particularly in machine learning(ML)and deep learning(DL)techniques,have introduced innovative approaches to metabolism research,enabling more accurate predictions and insights.This paper emphasizes computational and AI-driven methodologies,highlighting how ML enhances predictive modeling for human metabolism at the molecular level and facilitates integration into genome-scale metabolic models(GEMs)at the omics level.Challenges still remain,including data heterogeneity and model interpretability.This work aims to provide valuable insights and references for researchers in drug discovery and development,ultimately contributing to the advancement of precision medicine.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Antibody-drug conjugate (ADC), a novel class of antineoplastic agents, combines tumor-specific targeting with potent cytotoxic activity. In recent years, ADC has achieved notable advances in the treatment of non-small cell lung cancer (NSCLC), particularly within therapeutic sequencing after failure of first-line therapy or the emergence of resistance. This paper will systematically review the efficacy and safety evidence of representative ADC in NSCLC, and further to discuss progress and challenges in ADC structural optimization, toxicity management, biomarker identification, and combination strategies, aiming to provide a comprehensive theoretical foundation and practical reference for clinical practice and future research.
.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Immunoconjugates/chemistry* ; Lung Neoplasms/drug therapy* ; Drug Resistance, Neoplasm/drug effects* ; Antineoplastic Agents/chemistry*

Objective To conduct an in-depth analysis and feature extraction of the transcriptomics data of 10 types of cancers in order to realize the staging diagnosis of cancer samples.Methods The transcriptomics data of the top 10 cancers having the highest incidence were amassed from the UCSC Xena website,which comprised 4 938 samples and 59 428 genes.With the aid of variational autoencoder,we developed an incremental feature ranking and selection variational autoencoder(IFRSVAE)based on feature importance ranking and incorporating the masking algorithm and the Incremental Feature Selection(IFS).Subsequently,the performance efficiency of our IFRSVAE model was evaluated in conjunction with Random Forest(RF),Support Vector Machine(SVM),and eXtreme Gradient Boosting(XGboost),and it was also compared with other methods.Results Our research extracted 21 features for the ensuing classification.In comparison to the conventional variational autoencoder,recursive feature elimination,and Lasso regression models,the IFRSVAE model attained more favorable performance across all 3 classifiers(highest AUC value,and well performed other indicators).Notably,the IFRSVAE-RF exhibited the most outstanding performance,with an AUC value reaching 85.49%(95%CI:83.24%～87.74%).Moreover,Shapley additive explanations(SHAP)interpretable model illustrated well contributions of the features in our model.Conclusion Our developed IFRSVAE shows certain effectiveness in feature extraction.The constructed IFRSVAE-RF model demonstrates relatively good performance in the task of cancer staging diagnosis,which providing a new and referable idea for research orientation of deep-learning-based diagnostic methods for cancer staging.

OBJECTIVE: This study investigates the efficacy and mechanisms of Qingjie Fuzheng Granules (QFG) in inhibiting colitis-associated colorectal cancer (CAC) development via RNA sequencing (RNA-seq) and 16S ribosomal RNA (rRNA) correlation analysis. METHODS: CAC was induced in BALB/c mice using azoxymethane (AOM) and dextran sulfate sodium (DSS), and QFG was administered orally to the treatment group. The effects of QFG on CAC were evaluated using disease index, histology, and serum T-cell ratios. RNA-seq and 16S rRNA analysis assessed the transcriptome and microbiome change. Key pharmacodynamic pathways were identified by integrating these data and confirmed via Western blotting and immunofluorescence. The link between microbiota and CAC-related markers was explored using linear discriminant analysis effect size and Spearman correlation analysis. RESULTS: Long-term treatment with QFG prevented AOM/DSS-induced CAC formation, reduced levels of interleukin (IL)-1β, tumor necrosis factor-alpha (TNF-α), IL-6, and interferon γ (IFN-γ), and increased CD3⁺ and CD4⁺/CD8⁺ T cells ratio, without causing hepatic or renal toxicity. A 16S rRNA analysis revealed that QFG rebalanced the Firmicutes/Bacteroidetes ratio and mitigated AOM/DSS-induced microbiota disturbances. Transcriptomics and Western blotting analysis identified the nucleotide-binding oligomerization domain-containing protein 2 (NOD2)/nuclear factor kappa-B (NF-κB) pathway as key for QFG's treatment against CAC. Furthermore, QFG decreased the abundance of Bacilli, Bacillales, Staphylococcaceae, Staphylococcus, Lactobacillales, Aerococcus, Alloprevotella, and Akkermansia, while increasing Clostridiales, Lachnospiraceae, Lachnospiraceae_NK4A136_group, Ruminococcaceae, and Muribaculaceae, which were highly correlated with CAC-related markers or NOD2/NF-κB pathway. CONCLUSION By mapping the relationships between CAC, immune responses, microbiota, and key pathways, this study clarifies the mechanism of QFG in inhibiting CAC, highlighting its potential for clinical use as preventive therapy.