Objective: To investigate the prevalence and associated factors of depressive symptoms among middle and high school students in Zhejiang Province, so as to provide scientific basis for the implementation of depressive intervention. Methods: Based on the health status and associated factors of middle and high school students in the project "Monitoring of Common Diseases and Health Influencing Factors of Students" during 2018 to 2021, a total of 73 309 students including middle school, ordinary high school and vocational high school surveyed in 11 cities of Zhejiang Province were selected by multi stage stratified cluster random sampling method. From 2018 to 2021, there were 6 008, 21 917, 23 712 and 21 672 students, respectively. The Chi square test and Logistic regression model were used to analyze the influencing factors of depressive symptoms in middle and high school students. Results: From 2018 to 2021, depressive symptoms detection rate of middle school students was 14.8%, with higher rate in girls (17.1%) than in boys (12.7%), higher rate in high school (17.1% in ordinary high school, 17.6% in vocational high school) than middle school (12.5%)( χ 2=278.77, 327.22, P <0.05). Univariate analysis showed that there were statistically significant differences in depressive symptoms detection rate among middle school students with different years (2018: 16.7%，2019: 17.9% , 2020: 13.1%, 2021: 13.0%), residence (yes: 16.3%, no:13.5%), body mass index classification (not overweight or obesity: 14.8%, overweight: 14.2%, Obesity: 15.7%), weekly exercise days (0-2 d: 17.1%, 3-5 d: 12.5%, 6-7 d: 13.1%) and bullying (yes: 35.5%, no: 10.7%) ( χ 2=293.40, 118.35, 7.83, 287.24, 4 978.84, P <0.05). Multivariate Logistic regression analysis showed that female students, ordinary high schools, vocational high schools, obesity, school bullying were positively correlated with depression ( OR =1.65, 1.70, 1.60, 1.12, 5.21), exercise 3 to 5 days per week, exercise 6 to 7 days per week were negatively correlated with depression ( OR=0.77, 0.81, P <0.01). Conclusions Depressive symptoms among middle and high school students in Zhejiang Province are prominent. Strengthening mental health education for students and providing attention and support from families, schools, and society are essential steps to reduce the occurrence of depressive symptoms among these students.

Objective: To describe the prevalence characteristics and trend of malnutrition among primary and secondary school students in Zhejiang Province from 2008 to 2021, so as to provide scientific references for targeted interventions on malnutrition among children and adolescents. Methods: Based on the National Student Common Diseases and Health Influencing Factors Surveillance Project, 81 228 primary and middle school students aged 9-17 from Zhejiang Province were recruited for a questionnaire in 2008, 2014 and 2021, with stratified cluster random sampling method. Malnutrition was determined by Screening for Malnutrition in School aged Children and Adolescents. The Kruskal-Wallis test was used for non normally distributed data, and the Chi square test was used for categorical data. A trend Chi square test analyzed detection rates across different years. Results: The prevalence rates of malnutrition, stunting, mild wasting, and moderate to severe wasting among primary and secondary school students in 2008, 2014 and 2021 were 12.0%, 6.6%, 6.0%; 1.2%, 0.5%, 0.3%; 6.0%, 3.9%, 3.6%; and 4.7%, 2.2%, 2.2%, with an overall declining trend ( χ 2 trend =532.73, 181.43, 161.24, 240.38, P <0.05). The prevalence rates of malnutrition and mild wasting in each year were higher in boys (13.7%, 7.6%; 7.5%, 5.0%; 7.1%, 4.5%) than in girls (10.3%, 4.4%; 5.5%, 2.7%; 4.8%, 2.5%) ( χ 2=54.45, 88.67; 47.04, 81.07; 85.28, 98.81; P <0.01). The difference in malnutrition prevalence between urban and rural areas gradually narrowed (12.5%, 11.6%; 6.9%, 6.3%; 6.0%, 6.0%), with no statistically significant difference in 2021 ( χ 2= 0.01 , P >0.05). Malnutrition among primary and secondary school students was primarily characterized by mild wasting (56.0%) in Zhejiang Province. Compared to 2008, the prevalence of malnutrition in 2014 and 2021 showed a steady upward trend with increasing age in Zhejiang Province( χ 2 trends =44.52, 11.78, P <0.01). Conclusions The prevalence of malnutrition among primary and secondary school students aged 9 to 17 years in Zhejiang Province decreases by year from 2008 to 2021. However, the prevalence increase steadily with age, and boys have a higher prevalence of malnutrition. Policies should be developed age , gender , and growth appropriate dietary patterns to reduce malnutrition among primary and secondary school students.

Objective:To investigate the value of three-dimensional (3D) T 1WI structural images using different acceleration methods including parallel acquisition technique, joint compressed sensing (uCS) technique, and artificial intelligence-assisted compressed sensing (ACS) technique for brain region segmentation. Methods:In this cross-sectional study, fifty patients (female: n=25, age range: 13 to 87 years old) at Corning Hospital of Ningbo University from July to September 2023 were prospectively and consecutively collected. All the subjects underwent brain MRI. Six groups of 3D T 1WI structural images were obtained using different acceleration technique and parameters, including 3D T 1WI without acceleration factor (3D-T 1WI group), 3D T 1WI with parallel acquisition technique with acceleration factor 3 (3D-T 1WI-PI-3 group), 3D T 1WI with uCS technique with acceleration factor 4.5 and 6.9 (3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group), 3D T 1WI by ACS technique with acceleration factors of 3 and 5 (3D-T 1WI-ACS-3 group, 3D-T 1WI-ACS-5 group). T 2WI fluid-attenuated inversion recovery (FLAIR) images were also acquired. Subjective scores (cerebral grey matter and white matter clarity scores, clarity scores of cerebral white matter degeneration lesions in relation to the surrounding white matter, and Gibbs artifact scores) and objective metrics [signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), cerebrospinal fluid signal homogeneity, peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and natural image quality evaluator (NIQE)] were used to evaluate image quality in different groups. Totally 109 brain regions were segmented and volumes were measured using the uAI Research Portal image analysis tool. Kappa or intraclass correlation coefficient ( ICC) was used to evaluate the agreement of subjective and objective evaluation indexes between the 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group, 3D-T 1WI-ACS-3 group, 3D-T 1WI-ACS-5 group, and 3D-T 1WI group. Kappa or ICC value>0.70 was considered as good agreement. Results:The acquisition time for the 3D-T 1WI group, 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group, 3D-T 1WI-ACS-3 group, and 3D-T 1WI-ACS-5 group were 527, 204, 169, 95, 133, 90 s, respectively. Subjective evaluation showed that the 3D-T 1WI-uCS-4.5, 3D-T 1WI-ACS-3, and 3D-T 1WI-ACS-5 groups had excellent agreement with the 3D-T 1WI group in terms of the distribution of cases of cerebral grey matter and white matter clarity scores, respectively (all Kappa value=1.000); The distribution of cases of clarity score of cerebral white matter lesions and surrounding white matter in the 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, and 3D-T 1WI-ACS-3 group were in good agreement with that of the 3D-T 1WI group ( Kappa values of 0.775, 0.701, and 0.777, respectively); the distribution of the number of cases of the Gibbs artifact score of the 3D-T 1WI-uCS-4.5, 3D-T 1WI-ACS-3, and 3D-T 1WI-ACS-5 groups was in good agreement with the 3D-T 1WI group (all Kappa value=1.000). Objective evaluation showed the CNR of the images in the 3D-T 1WI-PI-3, 3D-T 1WI-uCS-4.5, and 3D-T 1WI-uCS-6.9 groups were in good agreement with those of the 3D-T 1WI group ( ICC of 0.720, 0.759, and 0.752, respectively); PSNR and SSIM were in good agreement among the 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, 3D-T 1WI-uCS-6.9 group, 3D-T 1WI-ACS-3 group, and 3D-T 1WI-ACS-5 group (PSNR: ICC=0.854; SSIM: ICC=0.851). NIQE of 3D-T 1WI-PI-3 group, 3D-T 1WI-uCS-4.5 group, and 3D-T 1WI-ACS-3 group images were in good agreement with the 3D-T 1WI group ( ICC value of 0.866, 0.727, 0.753, respectively). The ICC values of the volume of each segmented brain region among the 3D-T 1WI-PI-3, 3D-T 1WI-uCS-4.5, 3D-T 1WI-uCS-6.9, 3D-T 1WI-ACS-3, 3D-T 1WI-ACS-5 group and the 3D-T 1WI group images showed decreased in order (all ICC≥0.62). Conclusions:The uCS and ACS techniques used in 3D-T 1WI show high agreement with 3D-T 1WI in terms of brain segmentation. The application of these accelerating techniques can significantly shorten the acquisition time with obtaining images with good image quality, displaying great value.

Objective:To investigate the association between reproductive lifespan duration (RLD) and urinary albumin-creatinine ratio (UACR) in a Chinese postmenopausal population.Methods:This cross-sectional study included 11 055 naturally postmenopausal women from seven regions of China from May to December 2011. RLD was divided into four groups. Propensity score matching was performed to reduce bias, and logistic regressions and stratifications were conducted to investigate the association between RLD and increased UACR (≥30 mg/g). Mediation effect analysis was performed to quantify the effect of RLD on cardiovascular disease (CVD) induced by elevated UACR.Results:There were 2 373 participants with a RLD of 18-31 years, 2 888 participants with a RLD of 32-34 years, 2 472 participants with a RLD of 35-36 years, and 3 322 participants with a RLD of 37-50 years. The shortest RLD (18-31 years) group was characterized with older age ( P<0.001), a higher incidence of CVD ( P=0.025), and the highest level of UACR ( P<0.001). After adjusting for confounders, women with a longer RLD (37-50 years group) exhibited a lower risk of UACR elevation compared with those with the shortest RLD (18-31 years group) ( OR=0.72, 95% CI 0.64-0.82, P<0.001). Every 1-year extension in RLD was linked to a 2% reduction in the risk of UACR elevation ( OR=0.98, 95% CI 0.97-0.99, P<0.001). Stratified analysis revealed a more significant association between RLD and UACR in women who were a normal weight ( P=0.003) or overweight ( P=0.001), in those without CVD history ( P=0.001), and in those with impaired estimated glomerular filtration rate ( P=0.004). The mediation casual analysis showed that 3.0% of proteinuria inducing CVD events was mediated by RLD ( P=0.048). Conclusion:A longer RLD (37-50 years) is associated with a lower UACR in Chinese postmenopausal women.

Peptides are increasingly important resources for biological and therapeutic development, however, their intrinsic susceptibility to proteolytic degradation represents a big hurdle. As a natural agonist for GLP-1R, glucagon-like peptide 1 (GLP-1) is of significant clinical interest for the treatment of type-2 diabetes mellitus, but its in vivo instability and short half-life have largely prevented its therapeutic application. Here, we describe the rational design of a series of α/sulfono-γ-AA peptide hybrid analogues of GLP-1 as the GLP-1R agonists. Certain GLP-1 hybrid analogues exhibited enhanced stability (t _1/2 > 14 days) compared to t _1/2 (<1 day) of GLP-1 in the blood plasma and in vivo. These newly developed peptide hybrids may be viable alternative of semaglutide for type-2 diabetes treatment. Additionally, our findings suggest that sulfono-γ-AA residues could be adopted to substitute canonical amino acids residues to improve the pharmacological activity of peptide-based drugs.

Objective:To investigate the predictive value of MRI radiologic extranodal extension (rENE) for distant metastasis of prostate cancer (PCa).Methods:The data of 107 patients of initial visit with clinically diagnosed N1 PCa who underwent MRI and 68Ga-prostate specific membrane antigen (PSMA) PET/CT examinations were retrospectively analyzed at Xijing Hospital, Air Force Medical University from January 2017 to April 2022. The rENE was evaluated with MRI. According to the results of 68Ga-PSMA PET/CT, the patients were divided into the distant metastasis group (group M1, 87 cases) and the non-distant metastasis group (group M0, 20 cases). Independent sample t test, Mann-Whitney U test or χ 2 test were used to compare the differences in clinical indicators and rENE between the two groups. The multivariate logistic regression analysis was used to screen the independent risk factors affecting distant metastasis. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of independent risk factors for PCa distant metastasis. Results:In group M1, 72 cases (82.8%) were rENE positive and 15 cases (17.2%) were rENE negative, and in group M0, 7 cases (35.0%) were rENE positive and 13 cases (65.0%) were rENE negative, and there was a statistically significant difference in rENE between the two groups (χ 2=19.20, P<0.001). There were significant differences in total prostate specific antigen level, International Society of Urological Pathology grade and T stage between the group M1 and the group M0 ( P<0.05). Multivariate logistic regression analysis showed that rENE (OR=6.248, 95%CI 1.807-21.600, P=0.004) was an independent risk factor for distant metastasis of PCa, and the area under the ROC curve of rENE in the diagnosis of distant metastasis of PCa was 0.739 (95%CI 0.607-0.871), the sensitivity was 82.8%, and the specificity was 65.0%. Conclusion:rENE is an independent predictor of distant metastasis of PCa, which has a high efficacy. Compared with patients with rENE negative, PCa patients with rENE positive have a higher degree of invasion and are more likely to have distant metastasis.

Objective:To investigate the relationship between the positive surgical margin and clinical factors such as neoadjuvant hormonal therapy after robot-assisted laparoscopic radical prostatectomy (RARP) in high-risk patients with prostate cancer.Methods:The clinical data of 164 patients with high-risk prostate cancer being performed RARP by one surgeon were analyzed retrospectively in our hospital from January 2016 to January 2022. The mean patient’s age was (65.3±6.2) years old, mean body mass index (BMI) was (25.6±3.0) kg/m 2, the median value of total prostate specific antigen (tPSA) before operation was 18.6(11.3, 31.3)ng/ml, the median value of Gleason score before operation was 7 (7, 8), the median value of prostate volume was 29.3 (22.4, 40.2) ml, and the clinical stage was T 2aN 0M 0-T 4N 0M 0. 80 patients with prostate cancer were treated with neoadjuvant endocrine therapy. All of them were treated with complete androgen blockade with a median course of 3 months. Univariate analysis was used to analyze the correlation between age, BMI, prostate volume, neoadjuvant hormonal therapy, preoperative tPSA, clinical stage, Gleason score before operation and positive surgical margin. Then multivariate logistic regression was used to further analyze the independent risk factor of positive surgical margin after RARP. Results:The postoperative pathological diagnosis included pT 2 stage in 111 cases (67.7%), pT 3a stage in 15 cases (9.1%), pT 3b stage in 25 cases (15.2%), pT 4 stage in 13 cases (7.9%). No lymph node metastasis was noticed in all patients. The Gleason scores included 6 in 11 cases (6.7%), 3+ 4 in 26 cases (15.9%), 4+ 3 in 36 cases (22.0%), 8 in 17 cases (10.4%), 9-10 in 24 cases (14.6%), un-evaluation due to endocrine therapy in 50 (30.5%). The positive surgical margin of high-risk patients with prostate cancer was 44.5% (73/164). Univariate analysis showed that the neoadjuvant hormonal therapy, tPSA and clinical stage were correlated with positive surgical margin ( P<0.05). Multivariate logistic regression analysis showed that non-neoadjuvant hormonal therapy, preoperative tPSA>20ng/ml and clinical stage>T 2b were independent risk factors for positive surgical margin of high-risk patients with prostate cancer. Stratified analysis showed that when the preoperative tPSA was 10-20 ng/ml(21.1% vs.55.9%, P=0.014), the clinical stage was T 2c(29.6% vs.49.1%, P=0.040), the Gleason score before operation was 7(19.4% vs.54.1%, P=0.003), the positive surgical margin of high-risk patients in the neoadjuvant hormonal therapy group was significantly lower than that in the non-neoadjuvant hormonal therapy group ( P<0.05). Conclusions:Non-neoadjuvant hormonal therapy, preoperative tPSA>20 ng/ml and clinical stage>T 2b were independent risk factors for positive surgical margin of RARP in the high-risk patients with prostate cancer. For high-risk patients with preoperative tPSA of 10-20 ng/ml, clinical stage of T 2c and Gleason score before operation of 7, neoadjuvant hormonal therapy has important clinical significance in reducing the positive surgical margin of RARP.

Objective:To observe the effect of Lingshao-Zaoren Decoction on urodynamics and the expression of Piezo1 if overactive bladder (OAB) rats. Methods:Thirty SPF grade female SD rats were randomly divided into blank group, model group, Tolterodine control group, low-dose and high-dose Lingshao-Zaoren Decoction groups, with 6 rats in each group. The OAB rats were modeled by intraperitoneal injection of Cyclophosphamide. After the successful modeling, Tolterodine control group was given 0.36 mg/kg Tolterodine tartrate, the low-dose and high-dose Lingshao-Zaoren Decoction groups were given 1.59 and 3.18 g/kg Lingshao-Zaoren Mianjian granules by gavage, the blank group and model group were given the same amount of distilled water, once a day for 14 days. After 14 days, the urodynamics of rats in each group were detected. The bladder volume and maximum bladder pressure were observed respectively. The pathological changes of bladder tissue were observed by HE staining. The expression of Piezo1 protein in bladder tissue was detected by immunohistochemistry and Western blot. The expression of Piezo1 mRNA in bladder tissue was detected by qPCR. Results:Compared with the blank group, the body weight, bladder volume and maximum bladder pressure of the model group were significantly reduced ( P<0.01). HE staining result showed that the model group had hyperplasia of urinary tract epithelium, degeneration, necrosis and abscission of epithelial cells, infiltration of a large number of inflammatory cells in stroma, vascular proliferation, thickening of vascular wall, hyperplasia of mucosal smooth muscle, disorder of arrangement, and significant up regulation of Piezo1 protein expression ( P<0.01). Compared with the model group, the weight [(244.83 ± 6.05) g, (233.33 ± 11.76) g vs. (219.00 ± 9.70) g] of rats in the Tolterodine control group and high-dose group of Lingshao-Zaoren Decoction significantly increased ( P<0.01), and the bladder volume [(0.93 ± 0.31) ml, (1.17 ± 0.17) ml, (1.21 ± 0.23) ml vs. (0.50 ± 0.16) ml] and maximum bladder pressure [(42.00 ± 3.03) cmH 2O, (45.83 ± 7.19) cmH 2O, (46.83 ± 8.23) cmH 2O vs. (30.50 ± 5.47) cmH 2O] of rats in the Tolterodine control group, low-dose and high-dose Lingshao-Zaoren Decoction groups were significantly increased ( P<0.01); the bladder epithelial hyperplasia and degeneration degree, interstitial inflammatory cell infiltration degree and vascular hyperplasia degree of rats in the Tolterodine control group, low-dose and high-dose Lingshao-Zaoren Decoction groups significantly increased. The expression of Piezo1 mRNA (1.50 ± 0.04, 2.05 ± 0.08, 1.44 ± 0.10 vs. 2.56 ± 0.11) and protein in the Tolterodine control group, low-dose and high-dose Lingshao-Zaoren Decoction groups were significantly decreased ( P<0.01). Conclusion:Lingshao-Zaoren Decoction can increase the bladder volume and maximum bladder pressure of urinary incontinence caused by detrusor overactivity in rats with overactive bladder, which may be related to reduction of Piezo1 expression.

Both feature representation and classifier performance are important factors that determine the performance of computer-aided diagnosis (CAD) systems. In order to improve the performance of ultrasound-based CAD for breast cancers, a novel multiple empirical kernel mapping (MEKM) exclusivity regularized machine (ERM) ensemble classifier algorithm based on self-paced learning (SPL) is proposed, which simultaneously promotes the performance of both feature representation and the classifier. The proposed algorithm first generates multiple groups of features by MEKM to enhance the ability of feature representation, which also work as the kernel transform in multiple support vector machines embedded in ERM. The SPL strategy is then adopted to adaptively select samples from easy to hard so as to gradually train the ERM classifier model with improved performance. This algorithm is verified on a B-mode ultrasound dataset and an elastography ultrasound dataset, respectively. The results show that the classification accuracy, sensitivity and specificity on B-mode ultrasound are (86.36±6.45)%, (88.15±7.12)%, and (84.52±9.38)%, respectively, and the classification accuracy, sensitivity and specificity on elastography ultrasound are (85.97±3.75)%, (85.93±6.09)%, and (86.03±5.88)%, respectively. It indicates that the proposed algorithm can effectively improve the performance of ultrasound-based CAD for breast cancers with the potential for application.
Algorithms ; Breast Neoplasms/diagnostic imaging* ; Computers ; Diagnosis, Computer-Assisted ; Humans ; Support Vector Machine ; Ultrasonography

Unfolded protein response (UPR) is a stress response that is specific to the endoplasmic reticulum (ER). UPR is activated upon accumulation of unfolded (or misfolded) proteins in the ER's lumen to restore protein folding capacity by increasing the synthesis of chaperones. In addition, UPR also enhances degradation of unfolded proteins and reduces global protein synthesis to alleviate additional accumulation of unfolded proteins in the ER. Herein, we describe a cell-based ultra-high throughput screening (uHTS) campaign that identifies a small molecule that can modulate UPR and ER stress in cellular and