Objective: To explore the temporal variation in physical health status among college students, analyze the correlation and dose response relationship between body mass index (BMI) and physical fitness indicators, so as to provide a scientific basis for physical health intervention among college students in universities. Methods: A total of 4 910 freshmen in the 2021 grade at Xi an Jiaotong University were selected. The BMI and changes in five physical fitness indicators (50 meter run, endurance run, standing long jump, sit and reach, and pull up or 1 minute sit up) were continuously assessed during follow up evaluations from 2021 to 2024. One way analysis of variance, generalized estimating equation (GEE), and other statistical methods were used to analyze the trends in temporal variation among the physical fitness indicators as well as the correlation characteristics and dose response relationship between BMI and physical fitness. Results: In 2021 the overweight and obesity rates among male freshmen were 20.36 % and 8.62%, respectively, and 12.91% and 2.91% among female freshman, respectively. From 2021 to 2024 the BMI of male and female students showed an upward trend with a significant increase( F =87.29,3.69,both P <0.05). The physical fitness indicators for both male and female students, including the 50 meter run, standing long jump, pull up and 1 minute sit up, first increased and then decreased, the endurance run performance decreased, and the sit and reach performance first decreased and then increased. The GEE model showed that BMI was negatively correlated with the performance of standing long jump, pullup/1 minute sit up, and sit and reach in both male and female students（ β =-1.72，-0.34，-0.15；-0.94，-0.26，-0.12）, and positively correlated with the time of 50 meter run and endurance run（ β =0.05，3.16；0.03，1.86）（all P ＜0.05）. The increase in BMI was associated with physical fitness decline in a non linear dose response relationship, while the sit and reach performance reached a peak at a BMI of approximately 22 kg/m 2, then decreased with the further increase in BMI. Conclusions A significant negative correlation is demonstrated between BMI and physical fitness indicators and male students are more sensitive to changes in BMI. College students should be guided to actively manage their weight and attach importance to physical exercise to improve their physical health.

Objective To construct and validate the efficacy of a risk prediction model for pneumothorax after CT-guided percutaneous pulmonary puncture biopsy(CT-PCNB)based on nomograms.Methods A total of 246 patients who underwent CT-PCNB examination in the hospital from October 2020 to October 2023 were selected and divided into training set(n=144)and validation set(n=102)using a random sampling method.In the training set,univariate and multivariate logistic regression analyses were performed to identify risk factors for pneumothorax after CT-PCNB.A nomogram model was constructed based on the identified risk factors,and its accuracy was validated using the validation set.Results Multifactorial logistic regression analysis showed that age≥60 years,concomitant underlying lung disease,lesion diameter<2 cm,distance from lesion to pleura≥10 mm,puncture through interlobular pleura,and≥2 pleural punctures were the risk factors for pneumothorax after CT-PCNB in the training set(P<0.05).A nomogram model was constructed based on these six factors.The ROC curve results for the training set showed an AUC of 0.852,sensitivity of 84.50%,and specificity of 67.50%.The nomogram model was validated using the validation set,with ROC curve results showing an AUC of 0.845,sensitivity of 83.00%,and specificity of 69.50%.There was no statistically significant difference between the predicted and actual values in both the training and validation sets(χ2=1.803,1.225;P>0.05),indicating clinical validity.Conclusion The nomogram model constructed based on the risk factors for pneumothorax after CT-PCNB has high predictive efficacy and is clinically meaningful.

Objective To investigate the impact of aortic valve calcification on ascending aortic elasticity.Methods A total of 103 patients with aortic valve calcification indicated by coronary computed tomography angiography(CCTA)(calcification group),and 101 patients without aortic valve calcification(non calcification group)were selected.The calcification group was subdivided into group A,group B,and group C based on the number of calcified leaflets.The original data was automatically reconstructed at 5％R-R intervals throughout the cardiac cycle.Cross-sectional area and diameter of the ascending aorta were measured at 45 mm above the annulus,and four ascending aortic elasticity indicators aortic(％A),aortic distensibility(AD),aortic compliance(AC)and aortic stiffness index(ASI)were calculated.Agatston method was used to calculate the aortic valve calcification score.The effect of aortic valve calcification on the elasticity of the ascending aortic and its correlation were analyzed.Results The％A,AD,and AC of the calcification group were lower than those of the non calcification group,but the ASI was higher than that of the non calcification group,the difference was statistically significant(P＜0.05).The number of calcified leaflets affected ascending aortic elasticity,with comparisons between groups A and B,the difference was no statistically significant(P＞0.05),groups A and C,and groups B and C,the difference was statistically significant(P＜0.05).Calcification score was negatively correlated with％A,AD,and AC,and positively correlated with ASI.Conclusion Aortic valve calcification can affect the elasticity of the ascending aortic,and more than two calcified leaflets have more significant effects on the elasticity of the ascending aortic.

Objective To investigate the impact of aortic valve calcification on ascending aortic elasticity.Methods A total of 103 patients with aortic valve calcification indicated by coronary computed tomography angiography(CCTA)(calcification group),and 101 patients without aortic valve calcification(non calcification group)were selected.The calcification group was subdivided into group A,group B,and group C based on the number of calcified leaflets.The original data was automatically reconstructed at 5％R-R intervals throughout the cardiac cycle.Cross-sectional area and diameter of the ascending aorta were measured at 45 mm above the annulus,and four ascending aortic elasticity indicators aortic(％A),aortic distensibility(AD),aortic compliance(AC)and aortic stiffness index(ASI)were calculated.Agatston method was used to calculate the aortic valve calcification score.The effect of aortic valve calcification on the elasticity of the ascending aortic and its correlation were analyzed.Results The％A,AD,and AC of the calcification group were lower than those of the non calcification group,but the ASI was higher than that of the non calcification group,the difference was statistically significant(P＜0.05).The number of calcified leaflets affected ascending aortic elasticity,with comparisons between groups A and B,the difference was no statistically significant(P＞0.05),groups A and C,and groups B and C,the difference was statistically significant(P＜0.05).Calcification score was negatively correlated with％A,AD,and AC,and positively correlated with ASI.Conclusion Aortic valve calcification can affect the elasticity of the ascending aortic,and more than two calcified leaflets have more significant effects on the elasticity of the ascending aortic.

Objective To construct and validate the efficacy of a risk prediction model for pneumothorax after CT-guided percutaneous pulmonary puncture biopsy(CT-PCNB)based on nomograms.Methods A total of 246 patients who underwent CT-PCNB examination in the hospital from October 2020 to October 2023 were selected and divided into training set(n=144)and validation set(n=102)using a random sampling method.In the training set,univariate and multivariate logistic regression analyses were performed to identify risk factors for pneumothorax after CT-PCNB.A nomogram model was constructed based on the identified risk factors,and its accuracy was validated using the validation set.Results Multifactorial logistic regression analysis showed that age≥60 years,concomitant underlying lung disease,lesion diameter<2 cm,distance from lesion to pleura≥10 mm,puncture through interlobular pleura,and≥2 pleural punctures were the risk factors for pneumothorax after CT-PCNB in the training set(P<0.05).A nomogram model was constructed based on these six factors.The ROC curve results for the training set showed an AUC of 0.852,sensitivity of 84.50%,and specificity of 67.50%.The nomogram model was validated using the validation set,with ROC curve results showing an AUC of 0.845,sensitivity of 83.00%,and specificity of 69.50%.There was no statistically significant difference between the predicted and actual values in both the training and validation sets(χ2=1.803,1.225;P>0.05),indicating clinical validity.Conclusion The nomogram model constructed based on the risk factors for pneumothorax after CT-PCNB has high predictive efficacy and is clinically meaningful.

Objective To explore the intrinsic steady-state electrophysiological properties of mouse heart under physiological conditions by high-resolution quantitative analysis.Methods Twenty-two young adult C57BL/6 mice with a 1:1 male-to-female ratio were used.The limbs of the mice were fixed without anesthesia,and electrocardiographic waveforms,including characteristic P-waves,R-waves,and ST-waves,were recorded using a sensitive 12-lead electrophysiological recorder(ECGsqa)under spontaneous breathing.LabScribe software was used to extract and quantify high-resolution time course and amplitude parameters within a single cardiac cycle from the V3 precordial lead.Pearson correlation test combined with simple linear regression was used to generate a scatter plot of ECG parameter fitting.The common and unique correlation parameters were separately identified by joint associations for profiling the quantitative association network.Results ECGsqa analysis identified and quantified 14 characteristic ECG parameters,28.6%of which showed statistical differences between the groups.Compared to male mice,female mice exhibited higher amplitudes and velocities of R and ST waves.Among the 51 association pairs identified in primary association analysis,47.1%were positively correlated,including shared(29.2%),male-specific(29.2%),and female-specific(41.7%)association groups.Second-order clustering of the association pairs revealed that the amplitude-rate association pairs of each waveform voltage in both male and female mouse hearts were strongly correlated.The male mice showed an atrioventricular interconnection pattern,while the female mice showed a unique atrial conduction system quality dependence.The distribution network characteristics of the association groups showed that sex-specific and common correlation sets formed a certain series pattern.Conclusion We discovered a novel intrinsic correlation network of cardiac electrophysiological traits in male and female mice,which reveals the key internal quantitative characteristics and gender difference of both atrial and ventricular conduction systems.

Objective To investigate the effect of glycine N-methyl transferase (GNMT)on intrauterine adhesion (IUA)fibrosis and its related mechanism.Methods In vivo experiment:A total of 36 healthy female SD rats (SPF grade,6～8 weeks old and weighing from 180～220 g)were subjected in this study.IUA model of SD rats and IUA model of GNMT overexpressed rats were established.RT-qPCR and immunofluorescence assay were applied to detect GNMT expression level in normal uterus and model group.RT-qPCR and Western blotting were used to detect the mRNA and protein levels of fibrosis-related molecules and the activation of TGF-β1/Smad3 signaling pathway in each group.The number of endometrial glands in each group was observed by HE staining.Masson staining was used to analyze the severity of endometrial fibrosis in each group.In vitro experiment:transformed human endometrial stromal cells (THESCs)fibrotic phenotype model was constructed using TGF-β1,and THESCs stably transfected with GNMT overexpression lentvirus were treated with TGF-β1.RT-qPCR and Western blotting were used to detect the mRNA and protein expression of fibrosis-related molecules.The expression of TGF-β1/Smad3 signaling pathway was detected by Western blotting.TGF-β1/Smad3 signaling pathway was activated by TGF-β1/Smad signaling pathway activator (SRI-011381),and the expression of TGF-β1/Smad3 signaling pathway and key molecular proteins of fibrosis phenotype was measured with Western blotting.Results In vivo experiment,the mRNA and protein expression levels of GNMT were significantly decreased in the IUA rats than the control rats (P<0.05).Overexpression of GNMT decreased the mRNA and protein levels of fibrosis related molecules,Collagen Ⅰ,Collagen Ⅲ and FN in the IUA rats (P<0.05),and decreased the phosphorylation levels of TGF-β1 and its downstream Smad3 protein (P<0.05).HE and Masson staining showed that overexpression of GNMT could increase the number of endometrial glands and reduce the severity of fibrosis in the IUA rats (P<0.05).In vitro experiments:overexpression of GNMT decreased the mRNA and protein levels of Collagen Ⅰ,Collagen Ⅲ and FN associated with fibrotic phenotype of THESCs (P<0.05),and reduced the phosphorylation level of Smad3 protein,downstream of TGF-β1 (P<0.05).After activation of TGF-β1/Smad3 signaling pathway,the protein levels of TGF-β1/Smad3 signaling pathway and downstream fibrosis phenotype molecules,Collagen Ⅲ and FN,were significantly decreased in the LV-GNMT+SRI-011381 group.Conclusion Overexpression of GNMT can inhibit endometrial fibrosis by regulating TGF-β1/Smad3 signaling pathway,thus achieving therapeutic effect on IUA.

Objective To explore the intrinsic steady-state electrophysiological properties of mouse heart under physiological conditions by high-resolution quantitative analysis.Methods Twenty-two young adult C57BL/6 mice with a 1:1 male-to-female ratio were used.The limbs of the mice were fixed without anesthesia,and electrocardiographic waveforms,including characteristic P-waves,R-waves,and ST-waves,were recorded using a sensitive 12-lead electrophysiological recorder(ECGsqa)under spontaneous breathing.LabScribe software was used to extract and quantify high-resolution time course and amplitude parameters within a single cardiac cycle from the V3 precordial lead.Pearson correlation test combined with simple linear regression was used to generate a scatter plot of ECG parameter fitting.The common and unique correlation parameters were separately identified by joint associations for profiling the quantitative association network.Results ECGsqa analysis identified and quantified 14 characteristic ECG parameters,28.6%of which showed statistical differences between the groups.Compared to male mice,female mice exhibited higher amplitudes and velocities of R and ST waves.Among the 51 association pairs identified in primary association analysis,47.1%were positively correlated,including shared(29.2%),male-specific(29.2%),and female-specific(41.7%)association groups.Second-order clustering of the association pairs revealed that the amplitude-rate association pairs of each waveform voltage in both male and female mouse hearts were strongly correlated.The male mice showed an atrioventricular interconnection pattern,while the female mice showed a unique atrial conduction system quality dependence.The distribution network characteristics of the association groups showed that sex-specific and common correlation sets formed a certain series pattern.Conclusion We discovered a novel intrinsic correlation network of cardiac electrophysiological traits in male and female mice,which reveals the key internal quantitative characteristics and gender difference of both atrial and ventricular conduction systems.

Objective To investigate the influencing factors of vancomycin in the area under curve for 24 h(AUC0-24h)in patients after orthopedic surgery,and to predictive and analyze a good pharmacokinetic model for AUC0-24h Methods Patients who underwent orthopedic surgery and used vancomycin in The Sixth Affiliated Hospital of Xinjiang Medical University from January 2018 to December 2022 were included,and the basic information,the medication,the blood and biochemical indexes of the patients were collected to analyze the factors affecting postoperative vancomycin AUC0-24h in orthopedic surgery.The AUC0-24h was calculated using the first-level pharmacokinetic formula,the JavaPK? for Desktop(JPKD)and the vancomycin daily dose elimination rate formula.Results 91 patients were finally included,and the cystatin C(OR=189.168,P=0.005)and the single dose(OR=19.160,P＜0.001)were independent protective factors for vancomycin AUC0 24 h in postoperative orthopedic patients,and the retinol binding protein was an independent risk factor for vancomycin AUC0-24h(OR=0.910,P＜0.05).By predicting and analyzing the model of vancomycin AUC0 24h in postoperative orthopedic patients,the absolute percentage error of both JPKD software and vancomycin daily dose elimination rate formula were lower than 30％.The intraclass correlation efficient between the AUC0 24h of the JPKD software and vancomycin daily dose elimination rate formula,and the AUC0 24h of the first-level pharmacokinetic formula were 0.781 and 0.524,respectively.Conclusion Cystatin C is an important factor influencing vancomycin AUC0-24h in postoperative orthopedic patients,and JPKD software is more suitable for predicting vancomycin AUC0-24h after orthopedic surgery than the vancomycin daily dose elimination rate formula method.

Objective Based on U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,the signal mining of tizanidine adverse drug events(ADEs)was conducted to explore the occurrence characteristics of ADE,hoping to provide references for the safe clinical application of tizanidine.Methods The reporting odds ratio(ROR)and medicines and healthcare products regulatory agency methods(MHRA)were used to analyse the ADE of tizanidine using FAERS registration data from the first quarter of 2004 to the second quarter of 2022.After valid signals were obtained,the MedDRA was used for translation and system organ classification.Results A total of 7 135 reports of tizanidine ADE were obtained,including 1 732 patients,1 304 ADE types were involved.According to the results of 2 ADE signal mining methods,at the preferred term(PT)level,177 signals were detected.There were 32 PT signals not included in the drug instructions,including potassium wasting nephropathy,cardio-respiratory arrest,and foetal growth restriction etc.In 1 732 patients,the number of ADE cases of female was 2.37 times that in male(1 057 vs.446),and the age group between 40 and 64 accounted for a large proportion(36.03％).The highest proportion(32.79％)reported by consumers.The system organ class involved mainly included various neurological diseases and psychosis.The median time to onset of tizanidine-related ADEs was 75 d(interquartile range:28-223 d),but it was necessary to be vigilant that ADE may still occur 1 year after starting the drug(13.38％).Conclusion This study aims to suggest that clinical application of tizanidin-related ADE should be paid full attention to the occurrence of ADE such as potassium-wasting nephropathy and suicidally completed,as well as key populations such as women and patients of 40-64 years old.