Objective: To analyze the status and trends of physical fitness test data among college freshmen with different body mass index (BMI) groups from 2014 to 2024, providing the scientific evidence for monitoring and intervening in college students physical health. Methods: A census was conducted on all 67 949 freshmen at Civil Aviation University of China from 2014 to 2024. Physical tests included vital capacity, sit and reach, sit ups, 50 m sprint, standing long jump, pull ups, and 800 m/1 000 m run. Freshmen were divided into underweight, normal weight, overweight and obese groups according to WHO BMI standards. The Kruskal-Wallis H test was used to compare differences in physical fitness indicators across gender and BMI groups, while the Mann-Kendall trend test was employed to detect upward or downward trends in physical indicators over time. Results: From 2014 to 2024, statistically significant differences were observed in vital capacity, 50 m sprint, standing long jump, and sit and reach among different BMI groups for both genders (boy: Z =2 396.40, 4 160.33, 4 662.23, 531.85; girl: Z =593.37, 308.86, 499.37, 128.70). Significant differences were also found in 1 000 m run and pull ups for boys, and 800 m run and sit ups for girls across BMI groups (boy: Z =6 574.80, 6 880.48; girl: Z =528.56, 146.18) ( P <0.01). Overall physical test scores showed a declining trend during 2014-2024, particularly pronounced in overweight and obese groups. Male vital capacity in 2014 exceeded national survey data( d =320 mL), with the gap widening to 734 mL by 2019, while the female vital capacity difference increased from 271 mL in 2014 to 576 mL in 2019. Male 1 000 m run times were 23.0 s and 17.5 s faster than national data in 2014 and 2019 respectively, while female 800 m run times were 22.3 s and 21.5 s faster than corresponding national data. Conclusions Physical health status among freshmen at this university varies across BMI groups and changes over time. Although overall test scores remain higher than national levels, the declining trend in physical fitness performance requires attention.

Urticarial vasculitis is a skin disease with urticaria-like lesions and a histopathological pattern of leukocytoclastic vasculitis. It is considered a "hidden rash" in traditional Chinese medicine. Xuanfu is the portal that regulates qi, blood, fluid, and the ascending, descending, exiting, and entering of nutrition qi and defensive qi. Collaterals are the pathways for the circulation of qi and blood. The two accompany each other, connecting zang-fu organs, reaching the surfaces of the skin, hair, and external body, circulating qi and fluid, and moistening and protecting the skin. Based on the theory of Xuanfu-collateral, this study aimed to clarify the etiology, pathogenesis, and treatment method of urticarial vasculitis. External assault by wind and Xuanfu blockage are believed to be the initiating factors of this disease. The malnutrition of Xuanfu and collaterals and accumulated dampness-heat are important links in the occurrence and development of urticarial vasculitis. It spreads from Xuanfu to the collaterals, and blockage of the collaterals is the immanent trend of this disease. Clinically, by closely adhering to the core pathogenesis of blockage of Xuanfu-collateral, treatment method such as using wind medicinals to open Xuanfu with pungent and dispersing properties, using the method of supplement deficiency and removing the blockage, and using medicinals to promote blood circulation and remove blood stasis to unblock the blocked collaterals. The herbs are flexibly added or subtracted to unblock Xuanfu and collaterals, harmonize qi and blood, thus all symptoms can be relieved. We hope that this study will provide new ideas for the treatment of urticarial vasculitis with traditional Chinese medicine.

Objective:To invastigate the targets and signaling pathways of Gubiao Fanggan Modified Formula in regulating the defense against influenza A virus in immunosuppressed mice by network pharmacology,and the key targets were verified by immuno-suppressive mice model.Methods:TCMSP database was used to search the active ingredients of Gubiao Fanggan Modified Formula,and GeneCard,OMIM,PharmGkb databases were used to obtain the potential targets of the active ingredients to prevent influenza,and take their intersection targets were taken;STRING11.5 database was used to make protein-protein interaction network analyzed and finded the core targets;Cytoscape3.8.1 was used to build a traditional Chinese medicine-ingredient-disease target network,and GO enrichment analysis and KEGG enrichment analysis were performed.Intraperitoneal injection of cyclophosphamide was used to construct a mouse model of immune function suppression,normal group,model control group,Gubiao Fanggan Modified Formula group and oseltamivir group were set up,followed by prophylactic administration,and influenza virus intervention was performed on the fourth day.After 7 days of intragastric administration,the key targets were verified by mouse spleen index,HE staining,RT-qPCR and immunohistochemistry.Results:There were 82 active ingredients in five traditional Chinese medicines in Gubiao Fanggan Modi-fied Formula,and 72 common targets of drugs and diseases such as IL-6,TNF-α,IL-2,etc,mainly involving IL-17,TNF and AGE-RAGE signaling pathway.Gubiao Fanggan Modified Formula could increase spleen index and significantly reduce mRNA and protein expressions of IL-6 and TNF-α in spleen tissue of mice(P<0.05 or P<0.01).Conclusion:Gubiao Fanggan Modified Formula may regulate body's immune function through targets such as IL-6 and TNF-α,thereby preventing influenza virus infection.

Objective: To investigate the correlation between magnetic resonance imaging-based vertebral bone quality (VBQ) score and screw loosening after dynamic pedicle screw fixation with polyetheretherketone (PEEK) rods, and evaluate its predictive value. Methods: A retrospective analysis was conducted on the patients who underwent dynamic pedicle screw fixation with PEEK rods from March 2017 to June 2022. Data on age, sex, body mass index, hypertension, diabetes, hyperlipidemia history, long-term smoking, alcohol consumption, VBQ score, L1–4 average Hounsfield unit (HU) value, surgical fixation length, and the lowest instrumented vertebra were collected. Logistic regression analysis was employed to assess the relationship between VBQ score and pedicle screw loosening (PSL). Results: A total of 24 patients experienced PSL after surgery (20.5%). PSL group and non-PSL group showed statistical differences in age, number of fixed segments, fixation to the sacrum, L1–4 average HU value, and VBQ score (p < 0.05). The VBQ score in the PSL group was higher than that in the non-PSL group (3.56 ± 0.45 vs. 2.77 ± 0.31, p < 0.001). In logistic regression analysis, VBQ score (odds ratio, 3.425; 95% confidence interval, 1.552–8.279) were identified as independent risk factors for screw loosening. The area under the receiver operating characteristic curve for VBQ score predicting PSL was 0.819 (p < 0.05), with the optimal threshold of 3.15 (sensitivity, 83.1%; specificity, 80.5%). Conclusion The VBQ score can independently predict postoperative screw loosening in patients undergoing lumbar dynamic pedicle screw fixation with PEEK rods, and its predictive value is comparable to HU value.

Objective:To study the differentially expressed genes (DEG) during the differentiation of human induced pluripotent stem cells (hiPSC) and human embryonic stem cells (hESC) into pericytes and endothelial cells, and to identify key molecules and signaling pathways that may regulate this differentiation process.Methods:hiPSC and hESC were selected and expanded using mTeSR medium. A "two-step method" was used to induce the differentiation of hiPSC and hESC into pericytes and endothelial cells. Pericytes were identified using immunofluorescence staining, while endothelial cells were isolated and identified using flow cytometry. Total RNA samples were extracted on days 0, 4, 7, and 10 of differentiation and consistently significant DEGs were screened. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway enrichment analysis were performed on the screened DEGs.Results:Both hiPSCs and hESCs successfully differentiated into pericytes and endothelial cells under induction conditions. Transcriptome sequencing results showed that with the extension of differentiation time, the DEGs in hiPSCs and hESCs were significantly upregulated or downregulated, following a generally consistent trend. During the differentiation process, marker genes for pericytes and endothelial cells were significantly upregulated. A total of 491 persistent DEGs were detected in both hiPSC and hESC, with 164 unique to hiPSCs and 335 to hESCs, while 8 DEGs were co-expressed in both cell lines. Among these, SLC30A3, LCK, TNFRSF8, PRDM14, and GLB1L3 showed sustained downregulation, whereas CLEC18C, CLEC18B, and F2RL2 exhibited sustained upregulation. GO enrichment analysis revealed that DEGs with sustained upregulation were primarily enriched in terms related to neurogenesis, differentiation, and developmental proteins, while DEGs with sustained downregulation were enriched in terms related to membrane structure and phospholipid metabolic processes. KEGG pathway analysis showed that upregulated genes were primarily enriched in cancer-related pathways, pluripotency regulatory pathways, the Wnt signaling pathway, and the Hippo signaling pathway, whereas downregulated genes were predominantly enriched in metabolism-related pathways. Conclusions:During the differentiation of hiPSC and hESC into pericytes and endothelial cells, 8 DEGs exhibit sustained specific expression changes. These changes may promote pericyte and endothelial cell differentiation by activating the Wnt and Hippo pathways, inhibiting metabolic pathways, releasing the maintenance of stem cell pluripotency, affecting the cell cycle, and inhibiting cell proliferation.

Thirty refractory relapsed acute myeloid leukemia (R/R AML) patients who received salvage allo-HSCT with MeCBA conditioning regimen from January 2018 to June 2022 at Henan Cancer Hospital were included, and their clinical data were reviewed. There were 16 males and 14 females among the 30 patients with a median age of 37 (16-53) years. There were 3 sibling allograft donor transplants, 1 unrelated donor transplant, and 26 haplotype transplants. The median course of pre-transplant chemotherapy was 4 (3-22). The time of neutrophil engraftment was 14 (9-22) days and 18 (10-40) days for platelet. The 30-day cumulative incidence of neutrophil engraftment was 100% and the 100-day cumulative incidence of platelet engraftment was 96.7% (95% CI 85.4% -97.5% ). 22 (73.3% ) patients experienced grade 1-2 gastrointestinal reactions, and there was no grade 3-4 organ toxicity. With a median follow-up of 37.1 months, the overall survival (OS) rate, event-free survival (EFS) rate, cumulative recurrence rate (CIR), and non-recurrence mortality (NRM) rate at 3 years after transplantation were 70.0% (95% CI 50.3% -83.1% ), 65.3% (95% CI 44.8% -79.8% ), 21.2% (95% CI 9.2% -44.4% ) and 16.7% (95% CI 7.3% -35.5% ), respectively.

Objective: To investigate the correlation between magnetic resonance imaging-based vertebral bone quality (VBQ) score and screw loosening after dynamic pedicle screw fixation with polyetheretherketone (PEEK) rods, and evaluate its predictive value. Methods: A retrospective analysis was conducted on the patients who underwent dynamic pedicle screw fixation with PEEK rods from March 2017 to June 2022. Data on age, sex, body mass index, hypertension, diabetes, hyperlipidemia history, long-term smoking, alcohol consumption, VBQ score, L1–4 average Hounsfield unit (HU) value, surgical fixation length, and the lowest instrumented vertebra were collected. Logistic regression analysis was employed to assess the relationship between VBQ score and pedicle screw loosening (PSL). Results: A total of 24 patients experienced PSL after surgery (20.5%). PSL group and non-PSL group showed statistical differences in age, number of fixed segments, fixation to the sacrum, L1–4 average HU value, and VBQ score (p < 0.05). The VBQ score in the PSL group was higher than that in the non-PSL group (3.56 ± 0.45 vs. 2.77 ± 0.31, p < 0.001). In logistic regression analysis, VBQ score (odds ratio, 3.425; 95% confidence interval, 1.552–8.279) were identified as independent risk factors for screw loosening. The area under the receiver operating characteristic curve for VBQ score predicting PSL was 0.819 (p < 0.05), with the optimal threshold of 3.15 (sensitivity, 83.1%; specificity, 80.5%). Conclusion The VBQ score can independently predict postoperative screw loosening in patients undergoing lumbar dynamic pedicle screw fixation with PEEK rods, and its predictive value is comparable to HU value.

Objective: To investigate the correlation between magnetic resonance imaging-based vertebral bone quality (VBQ) score and screw loosening after dynamic pedicle screw fixation with polyetheretherketone (PEEK) rods, and evaluate its predictive value. Methods: A retrospective analysis was conducted on the patients who underwent dynamic pedicle screw fixation with PEEK rods from March 2017 to June 2022. Data on age, sex, body mass index, hypertension, diabetes, hyperlipidemia history, long-term smoking, alcohol consumption, VBQ score, L1–4 average Hounsfield unit (HU) value, surgical fixation length, and the lowest instrumented vertebra were collected. Logistic regression analysis was employed to assess the relationship between VBQ score and pedicle screw loosening (PSL). Results: A total of 24 patients experienced PSL after surgery (20.5%). PSL group and non-PSL group showed statistical differences in age, number of fixed segments, fixation to the sacrum, L1–4 average HU value, and VBQ score (p < 0.05). The VBQ score in the PSL group was higher than that in the non-PSL group (3.56 ± 0.45 vs. 2.77 ± 0.31, p < 0.001). In logistic regression analysis, VBQ score (odds ratio, 3.425; 95% confidence interval, 1.552–8.279) were identified as independent risk factors for screw loosening. The area under the receiver operating characteristic curve for VBQ score predicting PSL was 0.819 (p < 0.05), with the optimal threshold of 3.15 (sensitivity, 83.1%; specificity, 80.5%). Conclusion The VBQ score can independently predict postoperative screw loosening in patients undergoing lumbar dynamic pedicle screw fixation with PEEK rods, and its predictive value is comparable to HU value.

Objective:Transcriptomics combined with proteomics was used to analyze the potential signaling pathways of epidermal growth factor-like domain 9 (EGFL9) affecting the proliferation, invasion and migration of hepatocellular carcinoma.Methods:RNA interference technique was used to build hepatocellular carcinoma cell line with EGFL9 Huh-7 gene knockdown, the control group (NC group) and experimental group (KD group), each group of three samples, were performed the transcriptome and proteomics analysis, screening differences genes and proteins, to express the correlation analysis, cluster analysis, and subsequently gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) were used for gene function and pathway annotation enrichment analysis, respectively.Results:Based on omics analysis, there were 8 335 different genes in KD group compared with NC group, among which 4 207 were up-regulated and 4 128 were down-regulated. There were 298 different proteins, of which 188 were up-regulated and 110 down-regulated. Based on the combined analysis of the two omics, 213 differentially expressed genes were found. Among them, the top three common differentially expressed genes at the level of transcription and translation were transferrin receptor 2 (TFR2), annexin A1 (ANXA1) and solute carrier family 38 member 2(SLC38A2). The common differentially expressed genes were significantly enriched in cell cycle signaling pathway, amino acid biosynthesis pathway, p53 signaling pathway and glycolysis/gluconeogenesis signaling pathway.Conclusion:EGFL9 may participate in the regulation of cell function of hepatocellular carcinoma cells by regulating the expression of TFR2, ANXA1, LC38A2 and other genes, and may play a role through the regulation of cell cycle and other molecular signaling pathways.

Objective:Glioblastoma(GBM)and brain metastases(BMs)are the two most common malignant brain tumors in adults.Magnetic resonance imaging(MRI)is a commonly used method for screening and evaluating the prognosis of brain tumors,but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited.In recent years,deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system.This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases(SBMs),and to further explore the impact of multimodality data fusion on classification tasks. Methods:Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed.First,structural T1-weight,T1C-weight,and T2-weight were selected as 3 inputs to the entire model,regions of interest(ROIs)were manually delineated on the registered three modal MR images,and multimodality radiomics features were obtained,dimensions were reduced using a random forest(RF)-based feature selection method,and the importance of each feature was further analyzed.Secondly,we used the method of contrast disentangled to find the shared features and complementary features between different modal features.Finally,the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. Results:The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs.Furthermore,compared with single-modal data,the multimodal fusion models using machine learning algorithms such as support vector machine(SVM),Logistic regression,RF,adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT)achieved significant improvements,with area under the curve(AUC)values of 0.974,0.978,0.943,0.938,and 0.947,respectively;our comparative disentangled multi-modal MR fusion method performs well,and the results of AUC,accuracy(ACC),sensitivity(SEN)and specificity(SPE)in the test set were 0.985,0.984,0.900,and 0.990,respectively.Compared with other multi-modal fusion methods,AUC,ACC,and SEN in this study all achieved the best performance.In the ablation experiment to verify the effects of each module component in this study,AUC,ACC,and SEN increased by 1.6%,10.9%and 15.0%,respectively after 3 loss functions were used simultaneously. Conclusion:A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.