Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

Intervertebral disc degeneration （IVDD） is the core cause of chronic low back pain， which severely impairs patients’ quality of life and imposes a heavy social and medical burden. The hypoxia-pyroptosis-inflammation cascade mediated by hypoxia-inducible factor-1α （HIF-1α） is the core pathological mechanism driving the initiation and progression of IVDD. Natural active ingredients derived from traditional Chinese medicine （TCM） have become a research hotspot in the field of IVDD prevention and treatment due to their advantages of multi-target effects， favorable efficacy， and low toxicity. This paper systematically reviews the mechanism of HIF-1α-mediated hypoxia-pyroptosis-inflammation cascade in degenerative nucleus pulposus tissue and the intervention of related active ingredients. It is found that natural active ingredients such as baicalein， curcumin and resveratrol can intervene in the HIF-1α-mediated pathological cascade through four core links to delay IVDD progression： targeting the HIF-1α oxygen sensing pathway to block the initiation of pyroptosis cascade， inhibiting NOD-like receptor protein 3 inflammasome activation to cut off the cascade amplification of inflammatory signals， intervening in the Gasdermin D-mediated pyroptosis execution stage to protect cell membrane integrity， and regulating extracellular matrix metabolism to reconstruct intervertebral disc homeostasis.

BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve

Metastasis serves as an indicator of malignancy and is a biological characteristic of carcinomas. Epithelial-mesenchymal transition (EMT) plays a key role in the promotion of tumor invasion and metastasis and in the enhancement of tumor cell aggressiveness. Prostaglandin E synthase 3 (p23) is a cochaperone for heat shock protein 90 (HSP90). Our previous study showed that p23 is an HSP90-independent transcription factor in cancer-associated inflammation. The effect and mechanism of action of p23 on lung cancer metastasis are tested in this study. By utilizing cell models in vitro and mouse tail vein metastasis models in vivo, the results provide solid evidence that p23 is critical for promoting lung cancer metastases by regulating downstream CXCL1 expression. Rather than acting independently, p23 forms a complex with RNA-binding motif protein 14 (RBM14) to facilitate EMT progression in lung cancer. Therefore, our study provides evidence for the potential role of the RBM14-p23-CXCL1-EMT axis in the metastasis of lung cancer.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

OBJECTIVE To investigate the current status of air quality in clean operating rooms in Xi'an and explore the possible influencing factors,thus to provide data support for improving the quality of operating room manage-ment.METHODS According to GB50333-2013"Architectural technical code for hospital clean operating depart-ment",on-site monitoring was conducted from 2017 to 2021 on the air quality of 242 clean operating rooms in 41 hospitals in Xi'an,and the results were compared and analyzed.RESULTS Among the operating rooms being sur-veyed,130 were from secondary hospitals,112 from tertiary hospitals;seventy-nine were ClassⅠoperating rooms,26 were ClassⅡ,137 were ClassⅢ.The pass rate for settling bacterial was 98.35%,with 94.94%for ClassⅠoperating rooms,which was significantly lower than that in ClassⅡand ClassⅢ operating rooms(χ2=6.565,P=0.022).The pass rate for dust particles was 69.01%,with 43.04%for ClassⅠoperating rooms,and there was significant difference among different levels of operating rooms(χ2=37.304,P<0.001).The pass rate for dust particles in tertiary hospitals was 61.61%,lower than that in secondary hospitals(75.38%;χ2=5.340,P=0.021).The pass rate for dust particles≥0.5μm and≥5μm were 85.12%and 74.79%,respectively.Among the operating rooms with unqualified dust particles,those with both≥0.5 μm and≥5 μm dust particles not meeting standards accounted for 29.33%,and those with only≥0.5 μm dust particles not meeting standards accounted for 18.67%.Multivariate logistic regression analysis showed that influencing factors for air quality in clean operating rooms included the year of monitoring and the level of the operating room,while the sampling area and hospital level were not statistically associated with the outcomes.CONCLUSION The overall air quality of op-erating rooms in Xi'an is not optimistic,the pass rate is affected by the year of monitoring and the clean levels of the operating rooms,indicating a need to strengthen routine management and monitoring of clean operating rooms.

Objective:To explore the diagnostic value of transcranial magnetic stimulation (TMS), transsacral magnetic root stimulation combined with sacral reflexes, external anal sphincter electromyography and pudendal nerve somatosensory evoked potentials in the assessment of neurogenic lower urinary tract dysfunction (NLUTD).Methods:Twenty-one NLUTD patients (1 with a supra-pontine lesion, 5 with a spinal cord injury, 5 with a cauda equina injury, and 10 with pelvic floor disorders) were enrolled. Needle electromyography (EMG) was used to record TMS-induced and transsacral magnetic stimulation-induced motor evoked potentials (tc-MEPs and ts-MEPs, respectively) related to the external anal sphincter (EAS). The dorsal nerve of the penis or clitoris was stimulated electrically to record the latency of the sacral reflex related to the EAS. Central motor conduction time (CMCT) and the tc/ts-MEP latency ratio were calculated to distinguish central from peripheral lesions.Results:In the one patient with a supra-pontine lesion, although the tc-MEP and ts-MEP latencies were within normal limits, the CMCT was prolonged (28.2ms) and the tc/ts-MEP ratio was large (7.4). Among the five patients with a spinal cord injury, one exhibited prolonged tc-MEP latency (50.6ms) and CMCT (47.8ms), along with a large tc/ts-MEP ratio (18.1). In the five patients with cauda equina injury and the ten with NLUTD secondary to pelvic floor disorders, CMCT was within the normal range [averaging (22.9±4.9ms) and (24.2±3.5ms), respectively], but the ts-MEP latency was prolonged [(7.1±2.1ms) and (8.6±3.7ms), respectively], and the tc/ts-MEP ratio was small [(4.4±0.9) and (4.3±1.5), respectively]. The tc/ts-MEP ratio demonstrated the best rate of abnormality detection (93.8%), with an area under the curve of 0.99, indicating good sensitivity.Conclusions:The tc/ts-MEP ratio can be useful for distinguishing central and peripheral lesions. A markedly increased tc/ts-MEP ratio may suggest central nervous system injury, whereas a decreased ratio may indicate peripheral nervous system injury.

Objective:To investigate the clinical characteristics and genetic etiology of a child with Cortical dysplasia, complex, with other brain malformations 4 (CDCBM4) and epilepsy due to a TUBG1 gene variant. Methods:A child diagnosed with CDCBM4 and epilepsy at the Children′s Medical Center of the Affiliated Hospital of Guangdong Medical University in May 2024 was selected as the study subject. Clinical data were retrospectively analyzed. Peripheral venous blood samples were collected from the child and her parents for genomic DNA extraction. Trio-based whole-exome sequencing (WES) was performed, and candidate variants were validated by Sanger sequencing. According to the Standards and Guidelines for the Interpretation of Sequence Variants established by the American College of Medical Genetics and Genomics (ACMG), candidate variants were classified for pathogenicity. This study was approved by the Medical Ethics Committee of the Affiliated Hospital of Guangdong Medical University (Ethics No.: PJ2021-097).Results:The child, a 4-month-old female infant, had no special facial features, normal limb muscle strength, and increased muscle tone of infantile onset, with generalized tonic-clonic seizures as the main manifestation. During seizures, she exhibited head retroflexion, tightly closed eyes, and tonic convulsions of the limbs, occurring approximately 2-3 times per day. Electroencephalogram suggested bilateral anterior predominant medium-to-high amplitude 7-8 Hz mixed rhythm discharges. Head MRI revealed ventricular system dilatation and pachygyria. Trio-WES results indicated that the child has harbored a TUBG1 gene variant of c. 776C>T (p.Ser259Leu). Sanger sequencing verification showed that neither of her parents had carried the same variant, confirming it as de novo in origin. According to the ACMG guidelines, the variant was rated as pathogenic (PS2+ PS3+ PM2_Supporting+ PP3). Combining the child′s clinical phenotype, the child was diagnosed as CDCBM4 with epilepsy. Conclusion:Children with CDCBM4 and epilepsy due to TUBG1 gene variants may show pachygyria or agyria and commonly present with intellectual and motor developmental delays and seizure disorders of variable severity. The heterozygous TUBG1 c. 776C>T (p.Ser259Leu) variant is likely the genetic etiology underlying this disorder. The results of this study has expanded the mutational spectrum of the TUBG1 gene associated with CDCBM4 and epilepsy.

Objective : To investigate the effects of resveratrol(Res) on fibroblast-like synoviocytes(FLS) in patients with rheumatoid arthritis(RA), and to explore the possible mechanism of Res inhibiting the release of inflammatory factors from FLS. Methods : FLS from RA patients were culturedin vitroand treated with different concentrations of Res(0, 20, 40, 80, 160, 320 μmol/L). The viability of FLS cells was detected by CCK-8 assay after 12 and 24 h. The contents of inflammatory factor interleukin-6(IL-6) and tumor necrosis factor-α(TNF-α) in cell supernatant were detected by ELISA. The expression levels of cyclic guanosine monophosphate-adenosine monophosphate synthase(cGAS) and stimulator of interferon gene(STING) were measured by Western blot; After lentivirus infection with FLS caused the cells to overexpress cGAS, the cells were divided into Control group(blank control), cGAS group(cGAS overexpression), Res+cGAS group(Res 160 μmol/L+cGAS overexpression) and Res group(Res 160 μmol/L). The expression level of STING protein in cells of each group was determined by Western blot, the viability of FLS cells in each group was detected by CCK-8, and the contents of inflammatory factor IL-6 and TNF-α in the supernatant of cells of each group were detected by ELISA method. Results : The results of CCK-8 experiment showed that under 40, 80, 160 μmol/L Res treatment, FLS viability decreased significantly after 24 h compared with blank control group(P<0.01). ELISA results showed that the contents of IL-6 and TNF-α in cell supernatant were also significantly decreased after treatment with Res of 40, 80 and 160 μmol/L(P<0.01). Meanwhile, Western blot results showed that Res could significantly decrease the protein expression levels of STING and cGAS in FLS cells after treatment of 40, 80 and 160 μmol/L(P<0.05,P<0.01). Compared with the Control group, the expression level of STING protein in FLS increased after overexpression of cGAS(P<0.05); compared with the Res group, the content of inflammatory factors in the supernatant of FLS and the expression level of STING protein in FLS significantly increased after overexpression of cGAS(P<0.01,P<0.05). Conclusion The appropriate concentration of Res can inhibit the release of inflammatory cytokines in FLS cells, which may be related to the blocking of cGAS-STING signaling pathway.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.