Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

ObjectiveThis paper aims to explore the action and molecular mechanism of modified Tongluo Tangtai Formula（MTLTT） on myelin damage in diabetic peripheral neuropathy （DPN） based on network pharmacology and in vitro experiments. MethodsThe chemical components of the MTLTT were retrieved from the Traditional Chinese Medicine Systems Pharmacology （TCMSP） database and literature， and the component targets were collected from the SwissTargetPrediction database. The targets of DPN were collected from the GeneCards， OMIM， Disgenet， and GEO databases. Gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analyses were performed using the Metascape database， and a network diagram was constructed using Cytoscape software. The binding actions of core components with glycogen synthase kinase 3 beta （GSK-3β） and β-catenin were analyzed by Autodock Vina. An in vitro DPN model was established by high glucose-induced Schwann cells and dorsal root ganglion cells （SCs/DRGs）. The ultrastructural morphological changes of SCs and DRGs were observed by scanning electron microscope（SEM）， and the expressions of myelin-associated glycoprotein （MAG） and myelin basic protein （MBP） were detected by immunofluorescence staining. The mRNA and protein expression levels of MAG， MBP， myelin protein 0 （P0）， peripheral myelin protein 22 （PMP22）， and Wnt/β-catenin signaling pathway-related protein β-catenin， GSK-3β， Wnt family member 3α （Wnt3α）， and Wnt inhibitory factor-1 （Wif-1） were detected by real-time polymerase chain reaction （Real-time PCR） and Western blot. ResultsNetwork pharmacology analysis revealed that MTLTT components may treat DPN via the Wnt signaling pathway， involving key proteins such as GSK-3β， β-catenin and Wif-1. The molecular docking results indicate that atropine， apigenin， baicalein， isoflavanone， and albiflorin have good binding activity with GSK-3β， and that all 13 core components have stable binding activity with β-catenin. Cell experiments showed that compared with the blank group， SCs and DRGs in the model group exhibited severe morphological and structural abnormalities such as disintegration， shrinkage and axonal rupture， while these abnormal changes were improved after MTLTT intervention. Immunofluorescence results indicated that the fluorescence intensity of MAG and MBP was markedly decreased in the model group relative to the blank group（P<0.01）， while MTLTT treatment obviously upregulated the expression of MAG and MBP compared with the model group （P<0.01）. Real-time PCR and Western blot assays revealed that the expression levels of myelin-related molecules MAG， MBP， P0 and PMP22 were significantly reduced in the model group （P<0.05，P<0.01）， and MTLTT remarkably increased their expression levels （P<0.05）. In the Wnt/β-catenin signaling pathway， the mRNA levels of GSK-3β， Wif-1 and Wnt3α were elevated and β-catenin mRNA expression was declined in the model group （P<0.01）. Meanwhile， the protein expressions of GSK-3β and Wif-1 were upregulated， whereas those of Wnt3α and β-catenin were downregulated （P<0.01）. Compared with the model group， MTLTT at different doses reduced the mRNA and protein levels of GSK-3β and Wif-1 to varying degrees （P<0.05）， and distinctly enhanced the protein expression of Wnt3α and β-catenin（P<0.01）. ConclusionMTLTT can alleviate high glucose-induced myelin damage. Its protective mechanism may promote myelin repair by upregulating the expression of MAG， MBP， P0 and PMP22， and the therapeutic effect is possibly associated with the activation of Wnt/β-catenin signaling pathway.

Renal leiomyosarcoma is an extraordinarily rare malignant neoplasm，accounting for less than 1% of all renal malignancies. The prevention and management of postoperative thrombotic and hemorrhagic complications are pivotal in improving patient outcomes. We presented a case of a 62-year-old female with a giant right renal leiomyosarcoma（FNCLCC grade 3）who underwent preoperative arterial embolization followed by radical nephrectomy. On postoperative day 4，the patient developed deep vein thrombosis of the lower extremities. During subsequent anticoagulation therapy，she experienced a life-threatening complication of subcapsular hepatic hematoma. Discontinuing anticoagulation，bed rest，active blood transfusion，and antibiotic prophylaxis for infection being used as conservative treatment，the patient demonstrated significant clinical improvement and discharged after full recovery.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Aging is an inevitable biological process in organisms,accompanied by the decline of multiple physiological functions and increased risk of diseases.With the intensification of global aging,the research associated with mechanisms and the development of anti-aging drugs have become critical topics in the biomedical field.Aging animal models are pivotal tools for investigating aging mechanisms and developing anti-aging interventions.Model organisms commonly used in aging research include nematodes(Caenorhabditis elegans),fruit flies(Drosophila melanogaster),mice(Mus musculus),rats(Rattus norvegicus),naked-mole-rats(e.g.,Heterocephalus glaber),and rhesus macaques(Macaca mulatta).Considering experimental costs and time constraints,mice represent the most extensively employed mammalian model.Under standard housing conditions,mice develop aging phenotypes at approximately 18 months of age,Resultsing in lengthy and costly experimental timelines.To accelerate research,scientists have established diverse progeroid mouse models through genetic,pharmacological,and environmental interventions.Given the tissue-specific heterogeneity of aging,distinct progeria models are required to investigate aging mechanisms across different organ systems.Notably,each model exhibits unique advantages and limitations in mimicking human aging phenotypes,screening therapeutic targets,and evaluating anti-aging compounds.This review comprehensively examines morphological,physiological,and pathological variations among established progeria models,delineates their context-dependent applications and inherent constraints,and provides a systematic framework for model selection in fundamental aging research and translational geroscience,with perspectives on future method ological developments.

Aging is an inevitable biological process in organisms,accompanied by the decline of multiple physiological functions and increased risk of diseases.With the intensification of global aging,the research associated with mechanisms and the development of anti-aging drugs have become critical topics in the biomedical field.Aging animal models are pivotal tools for investigating aging mechanisms and developing anti-aging interventions.Model organisms commonly used in aging research include nematodes(Caenorhabditis elegans),fruit flies(Drosophila melanogaster),mice(Mus musculus),rats(Rattus norvegicus),naked-mole-rats(e.g.,Heterocephalus glaber),and rhesus macaques(Macaca mulatta).Considering experimental costs and time constraints,mice represent the most extensively employed mammalian model.Under standard housing conditions,mice develop aging phenotypes at approximately 18 months of age,Resultsing in lengthy and costly experimental timelines.To accelerate research,scientists have established diverse progeroid mouse models through genetic,pharmacological,and environmental interventions.Given the tissue-specific heterogeneity of aging,distinct progeria models are required to investigate aging mechanisms across different organ systems.Notably,each model exhibits unique advantages and limitations in mimicking human aging phenotypes,screening therapeutic targets,and evaluating anti-aging compounds.This review comprehensively examines morphological,physiological,and pathological variations among established progeria models,delineates their context-dependent applications and inherent constraints,and provides a systematic framework for model selection in fundamental aging research and translational geroscience,with perspectives on future method ological developments.

Oral squamous cell carcinoma(OSCC)accounts for over 90％of oral malignancies,with more than 370 000 new cases and approximately 188 000 deaths annually worldwide.In China,there are roughly 65 000 new cases and 35 000 deaths each year,showing a significant upward trend compared with 2015 statistics.Despite continuous advancements in treatment modalities,the 5-year survival rate remains stagnant at 50％-60％,where tumor heterogeneity and therapy resistance persist as fundamental barriers to precision oncology.To address these critical challenges,this study established a standardized bioban-king protocol for OSCC patient-derived organoids(PDOs)(Patent:Method for constructing an oral squa-mous cell carcinoma organoid bank,ZL202311378598.3).Through groundbreaking optimization of cul-ture media,enzymatic digestion kinetics,and stepwise cryopreservation,we achieved a biobanking suc-cess rate exceeding 95％and pioneered synchronous cultivation of matched primary tumors,lymph node metastases,and adjacent normal mucosa from individual patients,preserving spatial heterogeneity and stromal interactions.Leveraging this platform,we developed high-throughput drug screening:Quantified heterogeneity-driven differential chemoresponse using adenosine triphosphate(ATP)-based viability as-says;We discovered resistance mechanisms:Identified sialylated cancer IgG(SIA-cIgG)-mediated cis-platin resistance(primary/secondary)through PTPN13 suppression,with anti-SIA-cIgG combination therapy demonstrating synergistic efficacy.Besides,we elucidated metastatic drivers:CRISPR-Cas9-edited organoids revealed WDR54 promoted metastasis via H3K4me3/H4K16ac epigenetic reprogramming,activating epithelial-mesenchymal plasticity(EMP)and inducing partial epithelial-mesenchymal transi-tion(pEMT).This"holographic patient-mirroring"platform provided unprecedented resolution for OSCC precision therapy and had been formally incorporated into the Chinese Stomatological Association Techni-cal Guidelines(Technical guideline for establishing patient-derived oral squamous cell carcinoma or-ganoid banks,CHSA 2024-08).Future integration of immune-competent organoids,3D-bioprinted vas-culature,and multi-omics-AI systems will accelerate personalized oncology.These innovations will accelerate clinical translation of personalized therapeutic regimens,ultimately bridging the gap between bench research and bedside application.

Renal leiomyosarcoma is an extraordinarily rare malignant neoplasm，accounting for less than 1% of all renal malignancies. The prevention and management of postoperative thrombotic and hemorrhagic complications are pivotal in improving patient outcomes. We presented a case of a 62-year-old female with a giant right renal leiomyosarcoma（FNCLCC grade 3）who underwent preoperative arterial embolization followed by radical nephrectomy. On postoperative day 4，the patient developed deep vein thrombosis of the lower extremities. During subsequent anticoagulation therapy，she experienced a life-threatening complication of subcapsular hepatic hematoma. Discontinuing anticoagulation，bed rest，active blood transfusion，and antibiotic prophylaxis for infection being used as conservative treatment，the patient demonstrated significant clinical improvement and discharged after full recovery.

Objective:To explore the function of LIM and calponin homology domains 1(LIMCH1)in the development and progression of oral squamous cell carcinoma(OSCC),along with their potential clinical applications.Methods:By utilizing transcriptome sequencing data from two groups of oral squa-mous cell carcinoma patients,along with bioinformatics analytical techniques such as Gene Ontology(GO)and gene co-expression networks,we identified genes that might play a pivotal role in the patho-genesis of oral squamous cell carcinoma.We employed real-time quantitative PCR and Western blotting to validate the expression patterns of these genes across twelve patient tissue samples.Furthermore,we con-ducted CCK-8 assays,flow cytometry analyses,and scratch wound healing assays to assess the impact of key genes on the biological behaviors of both the Ca127 oral squamous cell carcinoma cell line and the po-tentially malignant DOK oral lesion cell line.Additionally,we examined correlations between these key genes and clinical disease parameters in 214 oral squamous cell carcinoma patients using The Cancer Ge-nome Atlas(TCGA)data;gene set enrichment analysis(GSEA)analysis results were also incorporated to enhance our findings from real-time quantitative PCR and Western blotting regarding potential mecha-nisms underlying the action of these key genes.Results:The integrated analysis of sequencing data and bioinformatics revealed that LIMCH1 exhibited significantly reduced mRNA(P＜0.001)and protein levels(P＜0.01)in the oral squamous cell carcinoma tissues compared with normal control tissues.In the Ca127 cells,the low LIMCH1 level group demonstrated a larger wound healing area within 24 hours than the control group(P＜0.01),enhanced proliferation capacity over 72 hours relative to the control group(P＜0.01),and an increased apoptosis rate within 24 hours compared with the high expression group(P＜0.05).However,no significant differences were observed between the low and high level groups in DOK cells.Furthermore,it was determined that low LIMCH1 level correlated with poor prognosis in the patients(P=0.013)and a higher lymph node metastasis rate(P＜0.05).Investigations into the poten-tial mechanisms of action indicated that LIMCH1 did not influence the onset or progression of oral squa-mous cell carcinoma via the epithelial-mesenchymal transition pathway.Conclusion:LIMCH1 level may function as a promising biomarker to aid in the prognostic assessment of oral squamous cell carcinoma;however,its precise mechanistic role requires further investigation.

Objective:To evaluate the clinical outcomes and define the indications for a one-stage mandibular reconstruction technique that combines iliac bone flaps with immediate implant-based den-tures,and to assess both the accuracy of surgical planning and the long-term success of the procedure.Methods:A total of ten patients underwent the procedure at Peking University Hospital of Stomatology between June 2020 and August 2023.The preoperative biopsy pathology of all the patients confirmed a benign tumor.In this technique,iliac bone flaps were used for mandibular reconstruction,and immediate implant-based dentures were placed during the same surgical session.Various outcome measures were evaluated,including the accuracy of the surgical reconstruction,implant placement deviations(entry point,apical point,depth,and angle),and long-term outcomes,such as cervical bone resorption,im-plant survival,and the cumulative survival rate.Results:Thirty-eight implants were successfully inserted into the iliac flaps of the ten patients.The median follow-up duration was 23.5 months,and no signifi-cant complications occurred during the follow-up period,such as infections,titanium plate exposure,im-plant loosening,or damage to the implants and dentures.The accuracy of preoperative virtual surgical planning(VSP)was highly reliable.The repeatability of the VSP model compared to the postoperative reconstructed mandible was as follows:67.82％±10.16％within 1 mm,82.14％±6.58％within 2 mm,and 90.61％±4.62％within 3 mm.The average maximum deviation from the plan was(6.10±0.89)mm,with an average overall deviation of(1.14±0.31)mm.For the implants,deviations in critical pa-rameters were as follows:entry point deviation was(2.02±0.58)mm,apical point deviation was(2.25±0.66)mm,depth deviation was(1.26±0.51)mm,and angular deviation was 1.84°±1.10°.The im-plant survival rate remained 100％during the follow-up,with a cumulative survival rate of 97.37％from 1 to 4 years.Average cervical bone resorption was 0.94 mm.Conclusion:The combination of iliac bone flaps with immediate implant-based dentures for one-stage mandibular reconstruction demonstrated pro-mising clinical outcomes,including high implant survival and minimal complications.This technique proved to be safe and reliable for mandibular reconstruction.However,further studies with larger sample sizes and longer follow-up periods are necessary to confirm the long-term efficacy and optimal indications for this procedure.