Objective: To investigate the nutritional status and influencing factors among Tibetan and Mongolian children and adolescents aged 7-18 years in high-altitude regions, so as to provide evidence for early prevention and control of malnutrition in this population. Methods: From May to June 2022, a cluster sampling method was employed to recruit 1 019 Tibetan and Mongolian children and adolescents aged 7-18 years from two primary and secondary schools in Golmud City. Physical examinations, dietary frequency questionnaires, and physical activity assessments were conducted. Nutritional status was classified as obesity, combined overweight/obesity, underweight, or central obesity according to national standards including Screening for Overweight and Obesity among School-age Children and Adolescents, Screening Standard for Malnutrition of School-age Children and Adolescents, Blue Book on Obesity Prevention and Control in China. Chi-square tests, t-test and Logistic regression analyses were performed to identify factors associated with different nutritional statuses. Results: The detection rates of obesity, combined overweight/obesity, underweight, and central obesity were 8.0%, 18.1%, 5.2%, and 19.7%, respectively. The height of children and adolescents across all age groups was generally lower than the national standard values. Tibetan participants exhibited significantly lower height-for-age Z-scores (HAZ)(9-10, 13-17 years, Z =2.01, 2.78, 4.16, 3.38, 4.12, 3.63, 3.00) and BMI-for-age Z-scores (BAZ) compared to Mongolian participants ( Z =-2.95, -2.47, -2.31, -2.89, -2.14, -2.17)( P < 0.05 ). Multivariate Logistic regression revealed that Mongolian children and adolescents had higher risks of obesity ( OR =2.20) and combined overweight/obesity ( OR = 2.18 ) ( P <0.05). Additionally, insufficient moderate-to-vigorous physical activity (MVPA) was associated with an increased risk of central obesity ( OR =1.48, P <0.05), compared with children and adolescents who meet the standard of MVPA. Conclusions The rates of overweight and obesity among Tibetan and Mongolian children and adolescents in Golmud City are higher, influenced by multiple factors. Nutrition interventions and physical activity strategies tailored to ethnic characteristics should be implemented, with emphasis on promoting MVPA to improve nutritional outcomes in this population.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

To investigate the mechanism of Qitu Erzhi Decoction(QTEZ) in ameliorating chemotherapy-induced myelosuppression and the focus of its decomposed formulae on the effects of hematopoietic cells of the three lineages, respectively. Ultra performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS) was used to identify the components of QTEZ intestinal absorption liquid and obtain the target sites, which were intersected with chemotherapy-induced myelosuppression targets collected from several databases, including OMIM, and an interaction network was established based on network pharmacology for Gene Ontology(GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. Hematopoietic stem cells of mice were taken after intraperitoneal injection of 5-fluorouracil for myelosuppression modeling and randomly divided into the model group, Qitu Erzhi group, Astragali Radix-Angelicae Sinensis Radix group, Ligustri Lucidi Fructus-Ecliptae Herba group, Psoraleae Fructus-Cuscutae Semen group, and positive drug group, which were given the corresponding traditional Chinese medicine intestinal absorption liquid and the positive drug granulocyte colony-stimulating factor, respectively. The normal hematopoietic stem cells were taken as the control group and were given the intervention of normal saline. The proliferation of hematopoietic progenitor cells of three lineages was observed by flow cytometry, and the cell cycle and colony formation assay were observed. Western blot was used to verify the effect of QTEZ on the pathway proteins including phosphoinositide 3-kinase(PI3K), phosphorylated PI3K(p-PI3K), protein kinase B(AKT), and phosphorylated AKT(p-AKT). RT-qPCR and Western blot were used to detect the effects of QTEZ on cell cycle-related targets such as CDK inhibitor 1(P21), cyclin D1(CCND1), and cyclin-dependent kinase 4(CDK4). The results showed that a total of 158 components were identified by QTEZ, and 375 component and disease intersecting targets were obtained, 21 core components and 40 core targets were obtained after constructing the network, and GO and KEGG enrichment showed signaling pathways such as PI3K/AKT. QTEZ and its decomposed formulae could promote the 5-fluorouracil-blocked cell cycle to resume operation, and all of them had different degrees of restoration effects on the set of colonies, among which QTEZ had the best restoration effect, and the Astragali Radix-Angelicae Sinensis Radix group had a focused effect on colony forming unit-erythrocyte. Western blot results indicated that there was no significant difference in the expression levels of pathway proteins among the groups. RT-qPCR and Western blot results showed that QTEZ could down-regulate P21 and up-regulate the protein and mRNA expression of CDK4 and CCND1. In conclusion, QTEZ and its decomposed formulas can exert a protective effect on hematopoietic stem cells with 5-fluorouracil-induced myelosuppression by promoting the normal operation of the cell cycle and colony formation, and the mechanism may be related to the down-regulation of the cell cycle-related targets of P21 and the up-regulation of CDK4 and CCND1. In addition, Astragali Radix-Angelicae Sinensis Radix can have a targeted protective effect on erythrocytes.
Animals ; Drugs, Chinese Herbal/chemistry* ; Network Pharmacology ; Mice ; Fluorouracil/adverse effects* ; Male ; Antineoplastic Agents/adverse effects* ; Hematopoietic Stem Cells/cytology* ; Humans ; Signal Transduction/drug effects*

BACKGROUND: Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). METHODS: This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models. RESULTS: The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability. CONCLUSIONS The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans ; Male ; Female ; Lung Neoplasms/pathology* ; Middle Aged ; Retrospective Studies ; Artificial Intelligence ; Aged ; Tomography, X-Ray Computed ; Adult ; Solitary Pulmonary Nodule/diagnostic imaging* ; ROC Curve

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

The development of anticancer drugs to treat triple-negative breast cancer (TNBC) is an ongoing challenge. Immunogenic cell death (ICD) has garnered considerable interest worldwide as a promising synergistic modality for cancer chemoimmunotherapy. However, only few drugs or treatment modalities can trigger an ICD response and none of them exert a considerable clinical effect against TNBC. Therefore, new agents with potentially effective chemoimmunotherapeutic response are required. In this study, five new cyclometalated Ir(III) complexes containing isoquinoline alkaloid CˆN ligands were designed and synthesized. Among them, Ir-1 exhibited the highest in vitro cytotoxicity. Mechanistically, Ir-1 could trigger autophagy-dependent ferroptosis and a subsequent ferroptosis-dependent ICD response as well as indoleamine 2,3-dioxygenase (IDO) inhibition via reactive oxygen species (ROS)-mediated endoplasmic reticulum (ER) stress in MDA-MB-231 cells. When immunocompetent BALB/c mice were vaccinated with Ir-1-treated dying TNBC cells, antitumor CD8⁺ T-cell response and Foxp3⁺ T-cell depletion were induced, resulting in long-lasting antitumor immunity in TNBC cells. Moreover, combination therapy with Ir-1 and anti-PD1 could substantially augment in vivo therapeutic effects. Based on these results, Ir-1 is a promising candidate for chemoimmunotherapy against TNBC and its effects are mediated synergistically via ICD induction and IDO blockage.

Neuropathic pain, a debilitating condition caused by dysfunction of the somatosensory nervous system, remains difficult to treat due to limited understanding of its molecular mechanisms. Bioinformatics analysis identified cerebellin 2 (CBLN2) as highly enriched in human and murine proprioceptive and nociceptive neurons. We found that CBLN2 expression is persistently upregulated in dorsal root ganglia (DRG) following spinal nerve ligation (SNL) in mice. In addition, transcription factor SOX11 binds to 12 cis-regulatory elements within the Cbln2 promoter to enhance its transcription. SNL also induced SOX11 upregulation, with SOX11 and CBLN2 co-localized in nociceptive neurons. The siRNA-mediated knockdown of Sox11 or Cbln2 attenuated SNL-induced mechanical allodynia and thermal hyperalgesia. High-throughput sequencing of DRG following intrathecal injection of CBLN2 revealed widespread gene expression changes, including upregulation of numerous NF-κB downstream targets. Consistently, CBLN2 activated NF-κB signaling, and inhibition with pyrrolidine dithiocarbamate reduced CBLN2-induced pain hypersensitivity, proinflammatory cytokines and chemokines production, and neuronal hyperexcitability. Together, these findings identified the SOX11/CBLN2/NF-κB axis as a critical mediator of neuropathic pain and a promising target for therapeutic intervention.
Animals ; Neuralgia/metabolism* ; Ganglia, Spinal/metabolism* ; Up-Regulation ; Mice ; NF-kappa B/metabolism* ; SOXC Transcription Factors/genetics* ; Male ; Neuroinflammatory Diseases/metabolism* ; Mice, Inbred C57BL ; Nerve Tissue Proteins/genetics* ; Hyperalgesia/metabolism* ; Signal Transduction ; Spinal Nerves

Objective:To investigate the effects of gambogenic acid(GNA)on the proliferation and apoptosis of CAL27 cell xenograft tumor in nude mice.Methods:18 SPF nude mice were randomly divided into 3 groups(n=6).All nude mice were inoculated with CAL27 cells at logarithmic growth stage to establish subcutaneous transplanted tumor models.The mice in low and high dose GNA groups were treated with GNA of 8.0 mg/kg iv.and 16.0 mg/kg iv.every other day,respectively,and those in the control group was given the same amount of normal saline.The tumor growth curve was plotted during drug administration.2 weeks later,the nude mice were sacrificed,the tumor tissue was removed and the tumor inhibition rate was evaluated by the tumor size measurements.TUNEL as-say was used to detect the apoptosis of transplanted tumor cells in the groups.The expression levels of AKT,Bcl-2 and PI3K proteins in tumor tissue were detected by immunohistochemistry(IHC).The toxicity and side effects of GNA on normal tissues were detected by HE staining.Results:The transplanted tumors in low and high dose GNA groups grew slowly,and the tumor weight and volume were significantly lower than those in the control group(P＜0.05),the tumor inhibition ratio of low and high dose groups was 57.58％and 83.68％respectively.TUNEL results showed that the apoptosis index of GNA low and high dose groups was higher that of control group(P＜0.05).IHC results showed that the expression of AKT,Bcl-2 and PI3K in the tumor tissues of nude mice in low and high dose GNA groups was lower than that in the control group(P＜0.05).HE results showed that GNA had not effect on normal tissues and or-gans(P＜0.05);Conclusion:GNA may induce CAL27 cell apoptosis by regulating the expression of AKT,Bcl-2 and PI3K,and in-hibites the development of human tongue squamous cell carcinoma with little effect on normal tissues and organs.

Objective To systematically evaluate the effect and safety of neoadjuvant PD-1/PD-L1 inhibitors combined with chemotherapy for resectable non-small cell lung cancer (NSCLC). Methods The PubMed, EMbase, The Cochrane Library, CNKI, and Wanfang data were searched by computer to identify relevant studies on anti PD-1 /PD-L1 combined with chemotherapy for resectable NSCLC from inception to March 2023. Two authors independently screened the literature, extracted the data, and evaluated the risk of bias in the included studies. The single-arm study was evaluated for quality using the methodological index for non-randomized studies (MINORS). Meta-analysis was conducted by RevMan 5.4 software. Results Twenty-six studies with 965 patients were included in this meta-analysis. MINORS scores of single-arm studies were ≥12 points. The meta-analysis results showed that the pooled pathologic complete response, major pathologic response, and objective response rates as well as partial response, surgical rate and R0 surgical resection rate of neoadjuvant PD-1/PD-L1 inhibitors combined with chemotherapy were 39% [RD=0.39, 95%CI (0.31, 0.47) ], 59% [RD=0.59, 95%CI (0.53, 0.65) ], 72% [RD=0.72, 95%CI (0.65, 0.80) ], 62% [RD=0.62, 95%CI (0.56, 0.69) ], 86% [RD=0.86, 95%CI (0.81, 0.92) ], and 94% [RD=0.94, 95%CI (0.92, 0.97) ], respectively. In terms of safety, the rate of adverse events (AEs) was 65% [RD=0.65, 95%CI (0.52, 0.78) ], and the rate of grade 3 to 5 AEs was 16% [RD=0.16, 95%CI (0.10, 0.23) ]. Conclusion The combination of neoadjuvant PD-1/PD-L1 inhibitors with chemotherapy has good efficacy and safety in the treatment of patients with resectable NSCLC.