Objective To develop and validate a machine learning model based on preoperative clinical characteristics, laboratory indices, and radiological features for the non-invasive prediction of spread through air spaces (STAS) in patients with early-stage lung adenocarcinoma. Methods Preoperative data from patients with early-stage lung adenocarcinoma who underwent surgical resection at Northern Jiangsu People's Hospital between January 2020 and August 2025 were retrospectively collected. The data included clinical characteristics, laboratory indices, and radiological features. Patients were divided into a STAS-positive and a STAS-negative group based on postoperative pathological findings. The dataset was randomly split into a training set and a testing set at a 7 : 3 ratio. Feature variables were selected using the maximum relevance and minimum redundancy (mRMR) algorithm and the least absolute shrinkage and selection operator (LASSO) regression. Five machine learning models were constructed: logistic regression (LR), random forest (RF), support vector machine (SVM), light gradient boosting machine (LightGBM), and extreme gradient boosting (XGBoost). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). The shapley additive explanations (SHAP) method was employed to interpret the optimal prediction model. Results A total of 377 patients were included, comprising 177 (46.9%) males and 200 (53.1%) females, with a mean age of (63.31±9.73) years. There were 261 patients in the training set and 116 patients in the testing set. In the training set, statistically significant differences were observed between the STAS-positive group (n=130) and STAS-negative group (n=131) across multiple features, including age, sex, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), clinical T stage, and maximum solid component diameter (P<0.05). A final set of 10 feature variables was selected by combining mRMR and LASSO regression, and five machine learning models (LR, RF, SVM, LightGBM, XGBoost) were developed. The XGBoost model demonstrated optimal performance in both the training and testing sets, achieving AUCs of 0.947 [95%CI (0.920, 0.975)] and 0.943 [95%CI (0.894, 0.993)], respectively. DCA indicated that the XGBoost model provided a high net clinical benefit across a wide range of threshold probabilities. SHAP analysis revealed that the vessel convergence sign, clinical T stage, age, consolidation-to-tumor ratio (CTR), and MLR were the features with the highest contributions to STAS prediction. Conclusion The XGBoost model effectively predicts preoperative STAS status in early-stage lung adenocarcinoma, exhibiting excellent discriminative performance and good clinical interpretability. Key predictors such as the vessel convergence sign, clinical T stage, age and CTR provide a crucial reference for preoperative risk assessment and the individualized selection of surgical strategies, ultimately benefiting patients.

BACKGROUND:Osteoporotic fracture is the most serious complication of osteoporosis.Previous studies have demonstrated that gut microbiota has a regulatory effect on skeletal tissue and that gut microbiota has an important relationship with osteoporotic fracture,but the causal relationship between the two is unclear. OBJECTIVE:To explore the causal relationship between gut microbiota and osteoporotic fractures using Mendelian randomization method. METHODS:The genome-wide association study(GWAS)datasets of gut microbiota and osteoporotic fracture were obtained from the IEU Open GWAS database and the Finnish database R9,respectively.Using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,Mendelian randomization analyses with random-effects inverse variance weighted,MR-Egger regression,weighted median,simple model,and weighted model methods were performed to assess whether there is a causal relationship between gut microbiota and osteoporotic fracture.Sensitivity analyses were performed to test the reliability and robustness of the results.Reverse Mendelian randomization analyses were performed to further validate the causal relationship identified in the forward Mendelian randomization analyses. RESULTS AND CONCLUSION:The results of this Mendelian randomization analysis indicated a causal relationship between gut microbiota and osteoporotic fracture.Elevated abundance of Actinomycetales[odds ratio(OR)=1.562,95%confidence interval(CI):1.027-2.375,P=0.037),Actinomycetaceae(OR=1.561,95%CI:1.027-2.374,P=0.037),Actinomyces(OR=1.544,95%CI:1.130-2.110,P=0.006),Butyricicoccus(OR=1.781,95%CI:1.194-2.657,P=0.005),Coprococcus 2(OR=1.550,95%CI:1.068-2.251,P=0.021),Family ⅩⅢ UCG-001(OR=1.473,95%CI:1.001-2.168,P=0.049),Methanobrevibacter(OR=1.274,95%CI:1.001-1.621,P=0.049),and Roseburia(OR=1.429,95%CI:1.015-2.013,P=0.041)would increase the risk of osteoporotic fractures in patients.Elevated abundance of Bacteroidia(OR=0.660,95%CI:0.455-0.959,P=0.029),Bacteroidales(OR=0.660,95%CI:0.455-0.959,P=0.029),Christensenellacea(OR=0.725,95%CI:0.529-0.995,P=0.047),Ruminococcaceae(OR=0.643,95%CI:0.443-0.933,P=0.020),Enterorhabdus(OR=0.558,95%CI:0.395-0.788,P=0.001),Eubacterium rectale group(OR=0.631,95%CI:0.435-0.916,P=0.016),Lachnospiraceae UCG008(OR=0.738,95%CI:0.546-0.998,P=0.048),and Ruminiclostridium 9(OR=0.492,95%CI:0.324-0.746,P=0.001)would reduce the risk of osteoporotic fractures in patients.We identified 16 gut microbiota associated with osteoporotic fracture by the Mendelian randomization method.That is,using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,eight gut microbiota showed positive causal associations with osteoporotic fracture and another eight gut microbiota showed negative causal associations with osteoporotic fracture.The results of this study not only identify new biomarkers for the early prediction of osteoporotic fracture and potential therapeutic targets in clinical practice,but also provide an experimental basis and theoretical basis for the study of improving the occurrence and prognosis of osteoporotic fracture through gut microbiota in bone tissue engineering.

BackgroundRumination can play a certain degree role of psychological adjustment in cancer patients. Previous studies have focused on studying the level of rumination in a single type of cancer patient， but there is a lack of comprehensive investigation and influencing factor research on rumination levels in different types of cancer patients. ObjectiveTo explore the level of rumination and its influencing factors among middle-advanced cancer inpatients， so as to provide certain guidance for targeted psychological care in clinical practice. MethodsFrom January 2021 to December 2022， a systematic sampling technique was used to recruit 346 patients with TNM stage III or above tumors hospitalized in Nuclear Industry 416 Hospital， Chengdu Sixth People's Hospital and the First People's Hospital of Yibin. All individuals were assessed using Perceived Social Support Scale （PSSS） and the Chinese version of Event-Related Ruminant Inventory （C-ERRI）， and Logistic regression analysis was utilized to identify the influencing factors of rumination. ResultsIn terms of C-ERRI， patients scored （15.59±5.61） on intrusive rumination and （14.59±5.43） on deliberate rumination. Education levels of junior high school/high school/vocational training school （OR=0.817， P<0.01） and junior college and above （OR=0.579， P<0.05） were the protective factors of intrusive rumination， whereas annual personal incomes of <10 000 yuan （OR=4.918， P<0.01） or 10 000~50 000 yuan （OR=2.076， P<0.01） and low （OR=6.882， P<0.01） or middle （OR=3.114， P<0.01） level of social support were the risk factors of intrusive rumination. For deliberate rumination， education levels of junior high school/high school/vocational training school （OR=0.574， P<0.01） and junior college and above （OR=0.449， P<0.05） were the protective factors， and low （OR=1.391， P<0.01） or middle （OR=1.161， P<0.05） levels of social support were the risk factors. ConclusionThe level of intrusive rumination of inpatients with middle-advanced cancer is related to education level， economic status and social support， furthermore， the level of deliberate rumination is related to the educational level and social support. ［Funded by Medical Research Project of Chengdu Health Commission （ number， 2020119）］

OBJECTIVE To investigate the relationship between azimuth direction,angular intervals,and the accuracy of azimuthal sound source localization.METHODS Fifteen young subjects with normal hearing were tested using nine azimuth settings.The test results were presented as root mean square error and percentage confusion.RESULTS The confusion rate under high-frequency narrowband noise was significantly higher than that under broadband noise and three-syllable words.In the frontal direction,statistically significant differences were observed between the 20° and 10° intervals,as well as between the 20° and 15° intervals(P<0.05),but no significant difference was found between the 10° and 15° intervals(P>0.05).In the lateral and rear directions,statistically significant differences were found between the 30° and 15° intervals,as well as between the 30° and 20° intervals(P<0.05),but no significant difference was found between the 15° and 20° intervals(P>0.05).Statistically significant differences were observed between the frontal direction and both the lateral and rear directions(P<0.05),but no significant difference was found between the lateral and rear directions(P>0.05).CONCLUSION Using stimuli that contain broader bandwidth cues can more accurately reflect the subject's horizontal localization ability.For source azimuth identification tests using broadband noise and three-syllable words,it is recommended to use a 15° interval in the frontal direction,and a 20° interval in the lateral and rear directions.The frontal and lateral directions can be preferred for testing.

OBJECTIVE To preliminarily assess the horizontal sound localization and its influencing factors in patients with unilateral sudden sensorineural hearing loss during the acute phase.METHODS The azimuth discrimination test and azimuth identification test were completed,with the speech sound(65 dB SPL)as the stimulus.The minimum audible angle(MAA)and root-mean-square error(RMSE)were obtained,and the RMSE of the affected side and the healthy side were calculated respectively.According to the WHO(2021)hearing loss classification criteria,the data were analyzed based on the pure-tone average(PTA)of the affected ear.And the best resident hearing at each frequency of the affected ear was recorded.RESULTS The performance of the unilateral sudden sensorineural hearing loss patients in the sound localization varied greatly.Some performed close to the normal level,while others completely lost the ability to localize sound.The RMSE of the moderate hearing loss group(≥35 dB HL)was significantly higher than that of the normal hearing group(P<0.01),the MAA of the moderate to severe hearing loss group(≥50 dB HL)showed statistically significant differencescompared with normal hearing group(P<0.001).The RMSE of the affected side of patients in the severe and above hearing loss group was significantly larger than that of the healthy side.Regression analysis showed that the best resident hearing at each frequency of the affected ear was the most significant factor affecting MAA(R2=0.572,P<0.001)and RMSE(R2=0.768,P<0.001).CONCLUSION The horizontal sound localization of unilateral sudden sensorineural hearing loss patients in the acute phase varies greatly.When the PTA of the affected side reaches moderate hearing loss,the localization ability is significantly lower than that of normal-hearing individuals.The best resident hearing at each frequency of the affected ear is the key factor affecting the localization ability.

Objective To evaluate the inhibitory effects of prophylactic administration of α-zearalanol(α-ZAL)on bone microarchitecture and bone resorption activity in ovariectomized osteoporotic rats,and to investigate its regulatory effects on the osteogenic and adipogenic differentiation of bone marrow mesenchymal stem cells(BMSCs).Methods A total of 606-month-old unmated female Sprague-Dawley(SD)rats weighing(300±20)g were randomly divided into the sham surgery group(Sham group),ovariectomy group(OVX group),solvent group(Oil group),estradiol benzoate treatment group(Post-E2 group),α-ZAL prevention group(Pre-ZAL group),and α-ZAL treatment group(Post-ZAL group),with 10 rats in each group.An osteoporosis rat model was established using the ovariectomy method.Rats in the Sham group underwent the same surgical procedures except for ovarian removal.Seventy-two hours after ovarian removal,the Oil group received intramuscular injections of 0.5 mL of oil solvent,and the Pre-ZAL group received intramuscular injections of α-ZAL(1.5 mg·kg-1),administered every 3 days for 120 consecutive days.The Post-E2 group and Post-ZAL group began intramuscular injections of estradiol benzoate(1.5 mg·kg-1)and α-ZAL(1.5 mg·kg-1),respectively,90 days after ovariectomy,administered every 3 days for 120 consecutive days.After drug administration,bone density and bone tissue microstructure morphology were analyzed using a micro-CT small animal in vivo imaging system and staining methods.Osteoclasts were isolated and their activity was detected.Femoral BMSCs were obtained to assess their osteoblast and adipocyte differentiation capabilities,and uterine tissue morphological changes were observed via histological sections.Results Compared with the OVX group,BMD in the Sham group,Post-E2 group,Pre-ZAL group,and Post-ZAL group increased by 133.12%,75.97%,69.64%,and 24.69%,respectively(all P<0.01).BMD in the Pre-ZAL group was 36.09%higher than in the Post-ZAL group(P<0.01),and there was no significant difference in BMD between the Post-E2 and Pre-ZAL groups(P>0.05).Tb.N in the Sham group,Post-E2 group,Pre-ZAL group,and Post-ZAL group increased by 160.08%,118.14%,94.76%,and 46.76%,respectively,compared with the OVX group(all P<0.01).Tb.Ar increased by 324.21%,203.83%,177.99%,and 82.71%,respectively(all P<0.01).Tb.N in the Pre-ZAL group increased by 32.71%compared to the Post-ZAL group(P<0.05),while Tb.Ar increased by 52.15%(P<0.01).Tb.Sp in the Sham,Post-E2,and Pre-ZAL groups decreased by 58.53%,42.18%,and 35.61%,respectively,compared with the OVX group(all P<0.01).The MAR of the upper tibial cancellous bone in the Sham,Post-E2,and Pre-ZAL groups increased by 257.81%,156.72%,and 142.63%,respectively,compared with the OVX group(all P<0.01),BFR increased by 192.19%,137.23%,and 88.13%,respectively(all P<0.01).MAR and BFR in the Pre-ZAL group increased by 58.10%and 43.63%,respectively,compared with the Post-ZAL group(both P<0.01).There were no significant differences in MAR and BFR between the Post-E2 group and the Pre-ZAL group(P>0.05).MMP-9,TRAP,and CK mRNA expression was significantly downregulated in both the Post-E2 group and the Pre-ZAL group(P<0.01).The osteoblast differentiation capacity of BMSCs in the Post-E2 group and all Post-ZAL groups was enhanced,with a significant increase in the number of mineralized nodules,and the expression levels of OCN,COL1,and OPN mRNA were significantly increased(P<0.01),while the ability to differentiate into adipocytes was weakened.The number of intracellular lipid droplets in BMSCs was significantly reduced,the lipid droplet volume was smaller,and the expression levels of PPAR-γ2 and aP2 mRNA were decreased(P<0.05).There were no significant differences between the Post-E2 group and the Pre-ZAL group(P>0.05).There was no significant increase in body weight in the Post-E2,Pre-ZAL,and Post-ZAL groups,but uterine weight significantly increased in the Post-E2 group(P<0.05),with marked uterine epithelial hyperplasia.Uterine weight in the Pre-ZAL and Post-ZAL groups showed no significant difference compared to the OVX group(P>0.05),and no significant changes were observed in uterine epithelium.Conclusion α-ZAL can effectively protect bone mass,improve bone microstructure,and reduce estrogen-related uterine adverse reactions by regulating the osteogenic/adipogenic differentiation balance of BMSCs,providing a potential new therapeutic strategy for the prevention and treatment of postmenopausal osteoporosis.

Objective To explore the risk factors for premature delivery after transvaginal cervical cerclage,construct and validate a predictive model.Methods A total of 209 single-tonsus cervicitis patients who underwent McDonald cervical ring ligation at the Third Affiliated Hospital of Zhengzhou University from January 2022 to December 2024 were selected as subjects,and they were divided into preterm group(n=86)and full-term group(n=123)according to the postoperative pregnancy outcomes.LASSO regression analysis was used to screen variables,and the prediction model was constructed by multivariate Logistic regression.The performance of the model was evaluated by receiver operating characteristic curve,calibration curve and decision curve.Results Body mass index,amniotic sac protrusion,preoperative white blood cell,and cervical length before cerclage＜25mm were identified as independent risk factors for preterm birth(P＜0.05).The prediction model demonstrated an area under the curve of 0.823(95％CI:0.765-0.881),with sensitivity of 77.91％and specificity of 77.24％.Both the calibration curve and decision analysis confirmed the model's strong consistency and clinical net benefit.Conclusion The predictive model constructed in this study has a good predictive effect and can be used as a reference for the stratification of preterm risk after cervical cerclage.

Objective:To analyze the status quo and research hotspots of palliative care development in China.Methods:It was a bibliometric analysis. Literature on palliative care in China was searched in databases of CNKI, Wanfang Data and Web of Science from 2018 to 2023. CiteSpace software was used for bibliometric analysis in terms of publication number, citation frequency, keyword co-occurrence network, and the evolution of research hotspots.Results:A total of 582 articles were included for analysis, with 534 in Chinese language (91.75%) and 48 in English (8.25%). From 2018 to 2023, the overall number of publications on palliative care in China had shown an upward trend. Most highly cited articles were published in nursing journals, and a total of 89 articles (15.29%) were marked as supported by national level funding projects. Keyword co-occurrence chart showed that the most frequent keywords were "palliative care", follwed by "end-of-life care""nurses""palliative medicine""review", and "hospice care". Keyword clustering analysis and emergent word analysis suggested that researches in the field of palliative care were gradually shifting from implementation strategies and models (2018-2020) to service practice effectiveness, personnel core competencies, social culture, patient quality of life, and other aspects(2021—2023).Conclusion:The field of palliative care in China has received more and more attention. In recent years, the research topics havs focused on the practical effectiveness of services, the capacity building of service personnel, and the overall social impact of service implementation.

In recent years, it has become a new direction in the field of neuroscience to explore the mode characteristics, functional significance and interaction mechanism of resting spontaneous electroencephalography (EEG) and task-evoked EEG. This paper introduced the basic characteristics of spontaneous EEG and task-evoked EEG, and summarized the core role of spontaneous EEG in shaping the adaptability of the nervous system. It focused on how the spontaneous EEG interacted with the task-evoked EEG in the process of task processing, and emphasized that the spontaneous EEG could significantly affect the performance of tasks such as perception, cognition and movement by regulating neural activities and predicting external stimuli. These studies provide an important theoretical basis for in-depth understanding of the principle and mechanism of brain information processing in resting and task states, and point out the direction for further exploring the complex relationship between them in the future.
Humans ; Electroencephalography/methods* ; Brain/physiology* ; Rest/physiology* ; Cognition/physiology* ; Evoked Potentials/physiology* ; Task Performance and Analysis

OBJECTIVES: To investigate the targets and mechanisms of 7-hydroxyethyl chrysin (7-HEC) in prevention and treatment of high-altitude cerebral edema (HACE) in rats. METHODS: Fifty-four male Wistar rats were randomly divided into normal control group, HACE model group, and 7-HEC-treated group (18 rats in each group). Except for the normal control group, rats in the two other groups were exposed to a hypobaric hypoxic chamber simulating a 7000 m altitude for 72 h to establish the HACE model. The 7-HEC-treated group was intraperitoneally injected with 7-HEC (150 mg·kg^－¹·d^－¹) for 3 consecutive days before modeling, while the model group received equivalent isotonic sodium chloride solution. Tandem Mass Tag (TMT) proteomics technology was used to detect differentially expressed proteins (DEPs) with screening criteria set at a fold change >1.2 and P<0.05. Western blotting was used to verify the expression levels of target proteins. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed. RESULTS: Compared with the normal control group, 256 DEPs were identified in the HACE model group. Compared with the HACE model group, 87 DEPs were identified in the 7-HEC-treated group. Among them, 19 DEPs that were dysregulated in the HACE model group were restored after 7-HEC intervention, of which seven (HSPA4, Arhgap20, SERT, HACL1, CCDC43, POLR3A, and PCBD1) were confirmed by Western blotting. GO enrichment analysis of the DEPs between the HACE model and 7-HEC-treated groups revealed their involvement in 13 biological processes, five cellular components, and two molecular functions. KEGG pathway analysis indicated associations with the mRNA surveillance pathway, Th17 cell differentiation, serotonergic synapse, RNA polymerase, protein processing in the endoplasmic reticulum, peroxisome, neuroactive ligand-receptor interaction, folate biosynthesis. PPI network analysis demonstrated that HSPA4, POLR3A, and HACL1, which were validated by Western blotting, interacted with multiple signaling pathways and ranked among the top 20 hub proteins by degree value, suggesting their potential role as core regulatory factors. Arhgap20, SERT and PCBD1 also exhibited interactions with several proteins, suggesting their potential as key regulatory proteins, whereas no interactions for CCDC43 were identified. CONCLUSIONS This study applied TMT proteomics to identify seven potential therapeutic targets of 7-HEC for the prevention and treatment of HACE. These targets may be involved in the pathogenesis of HACE through multiple pathways, including maintaining cellular homeostasis, ameliorating oxidative stress, regulating energy metabolism, and reducing vascular permeability.
Animals ; Male ; Proteomics/methods* ; Rats, Wistar ; Flavonoids/therapeutic use* ; Rats ; Brain Edema/etiology* ; Altitude Sickness/metabolism* ; Protein Interaction Maps