Objective: To identify the effective needs of college students for dietary nutrition health education content, so as to provide a scientific basis for optimizing the health education strategies in colleges. Methods: The literature analysis method, focus group interviews and Delphi expert consultation method were used to construct a survey questionnaire on dietary nutrition health education for college students. From January to March 2024, a total of 597 college students from six colleges in Shandong Province were selected through convenience sampling to complete the questionnaire independently by scanning the two dimensional code on questionnaire star. The Kano model was used to define the content demands of college students for dietary nutrition education, and the differences in demands were analyzed by calculating satisfied influence (SI) and dissatisfied influence (DSI). Results: The compiled questionnaire was divided into 7 dimensions and 25 items. The overall demand level analysis of college students included 3 essential attribute demands, namely, the recommended intake and various forms of dairy products (34.17%), the role of whole grains in health with their scientific intake forms and recommended amounts (31.99%), and the intake of beans (30.15%); 7 expected attribute demands included the introduction of recommended intensity of different activities (35.01%), how to achieve a healthy weight and the balance between diet and exercise (41.54%), the energy consumed by different exercises in a unit of time ( 38.36 %), the selection of healthy snacks (36.68%), the types of infectious diseases of the digestive system and how to prevent and control them (25.96%), the causes and judgments with manifestations of nutrition related diseases among college students ( 28.14 %), and the hotspots of attention on nutrition related diseases among college students (24.46%); 4 attractive attribute demands contained the introduction of the recommended activity levels for different periods such as daily and weekly (28.81%), the introduction of the importance of activities and the harm of prolonged sitting and ways to avoid it (28.64%), the nutritional value of animal foods and eating suggestions (23.45%), and the scientific intake suggestions for various processed animal foods (22.11%); the remaining were 11 attribute demands with no differences. In the quadrant diagram analysis, the demand items located in the maintenance zone, competitive advantage zone, improvement zone, and minor improvement zone were 5, 5, 8, and 7, respectively. Conclusions College students have different demands in dietary nutrition health education, and whether these demands are met affects their satisfaction in different ways. Among them, education on the intake of dairy products, whole grains, and beans has the greatest impact on satisfaction.

Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phenotyping platform that employs a starburst microfluidic network and automatic liquid handling system to capture single cells for long-term culture and multi-dimensional analysis and quantify their clonal properties via their surface biomarker and secreted cytokine/growth factor profiles. Studies performed on this platform found that cells derived from single-cell cultures maintained phenotypic equilibria similar to their parental populations. Single-cell cultures exposed to chemotherapeutic drugs stochastically disrupted this balance to favor stem-like cells. They had enhanced expression of mRNAs and secreted factors associated with cell signaling, survival, and differentiation. This single-cell analysis approach can be extended to analyze more complex phenotypes and screen responses to therapeutic targets.

Objective: To investigate the association between plant-based dietary patterns and gestational weight gain (GWG) among pregnant women with gestational diabetes mellitus (GDM), so as to provide the evidence for guiding the reasonable diet during pregnancy. Methods: GDM pregnant women who participated in the WeBirth project in Hangzhou Obstetrics and Gynecology Hospital were selected. Maternal age and pre-pregnancy body mass index (BMI) were collected. The Chinese version of Pregnancy Physical Activity questionnaire was used to assess the daily activity equivalent. The food frequency questionnaire was used to collect the frequency and amount of food intake in the last month before enrollment. The overall plant-based diet index (PDI), healthy plant-based diet index (HPDI), and unhealthy plant-based diet index (UPDI) were constructed based on food intake and grouped by quartiles. Multiple linear regression models were used to analyze the association between plant-based dietary patterns and GWG. Results: A total of 1 943 pregnant women with GDM, with a median age of 30.91 (interquartile range, 4.92) years. The median BMI of pre-pregnancy was 21.51 (interquartile range, 4.06) kg/m2. The medians of PDI, HPDI and UPDI were 32.42 (interquartile range, 4.60), 32.48 (interquartile range, 4.41) and 32.40 (interquartile range, 5.36), respectively. The median of GWG was 11.30 (interquartile range, 4.52) kg. Multiple linear regression analysis showed that PDI (Q3 group, β=0.674, 95%CI: 0.064-1.285; Q4 group, β=0.702, 95%CI: 0.098-1.306), UPDI (Q3 group, β=1.332, 95%CI: 0.771-1.894; Q4 group, β=1.115, 95%CI: 0.550-1.681) were positively associated with GWG after adjusting for age, pre-pregnancy BMI, daily activity equivalent and daily energy intake. No significant association was found between HPDI and GWG (all P>0.05). Conclusion UPDI was associated with a higher risk of GWG in pregnant women with GDM.

Objective:To preliminarily evaluate the efficacy and safety of a domestically developed bilateral interventional ultrasound renal denervation (RDN) system in patients with uncontrolled hypertension despite antihypertensive medication.Methods:A multicenter, single-arm trial was conducted. Patients with uncontrolled hypertension (≥2 antihypertensive drugs) were enrolled from April 2023 to April 2024 at the Second Affiliated Hospital of Chongqing Medical University, West China Hospital of Sichuan University, and the Second Affiliated Hospital of Harbin Medical University. RDN was performed using the UltraCure? bilateral interventional ultrasound system via femoral or brachial artery access. Multi-segmental "quadrant-based" ablation was performed in bilateral main renal arteries and branches/accessory arteries (diameter≥4 mm). Primary endpoints were changes in office systolic blood pressure (SBP) and 24-hour daytime SBP at 2-and 6-months post-procedure. The primary safety endpoints included the incidence of major adverse events, device-related adverse events, and puncture site complications.Results:Ten patients, mean aged 47.1 years, including 9 male, successfully completed RDN. At 2 and 6 months post-procedure, office SBP decreased by (19.7±15.2) mmHg ( P=0.002, 1 mmHg=0.133 kPa) and (13.8±13.9) mmHg ( P=0.013) from baseline, while the 24-hour daytime SBP decreased by (13.4±10.6) mmHg ( P=0.004) and (11.2±9.2) mmHg ( P=0.004). Apart from one case of a limited distal renal artery dissection, no other serious device/procedure-related adverse events were observed. At 6-month follow-up, the estimated glomerular filtration rate remained stable ((85.3±18.3) ml·min -1·1.73 m -2 vs. (82.3±19.2) ml·min -1·1.73 m -2, P=0.41). No renal artery stenosis was detected. Conclusions:The domestic interventional ultrasound RDN system could effectively reduce office and ambulatory blood pressure in patients with uncontrolled hypertension, demonstrating a favorable safety profile. Long-term efficacy requires confirmation through large-scale randomized controlled trials.

Objective:To preliminarily evaluate the efficacy and safety of a domestically developed bilateral interventional ultrasound renal denervation (RDN) system in patients with uncontrolled hypertension despite antihypertensive medication.Methods:A multicenter, single-arm trial was conducted. Patients with uncontrolled hypertension (≥2 antihypertensive drugs) were enrolled from April 2023 to April 2024 at the Second Affiliated Hospital of Chongqing Medical University, West China Hospital of Sichuan University, and the Second Affiliated Hospital of Harbin Medical University. RDN was performed using the UltraCure? bilateral interventional ultrasound system via femoral or brachial artery access. Multi-segmental "quadrant-based" ablation was performed in bilateral main renal arteries and branches/accessory arteries (diameter≥4 mm). Primary endpoints were changes in office systolic blood pressure (SBP) and 24-hour daytime SBP at 2-and 6-months post-procedure. The primary safety endpoints included the incidence of major adverse events, device-related adverse events, and puncture site complications.Results:Ten patients, mean aged 47.1 years, including 9 male, successfully completed RDN. At 2 and 6 months post-procedure, office SBP decreased by (19.7±15.2) mmHg ( P=0.002, 1 mmHg=0.133 kPa) and (13.8±13.9) mmHg ( P=0.013) from baseline, while the 24-hour daytime SBP decreased by (13.4±10.6) mmHg ( P=0.004) and (11.2±9.2) mmHg ( P=0.004). Apart from one case of a limited distal renal artery dissection, no other serious device/procedure-related adverse events were observed. At 6-month follow-up, the estimated glomerular filtration rate remained stable ((85.3±18.3) ml·min -1·1.73 m -2 vs. (82.3±19.2) ml·min -1·1.73 m -2, P=0.41). No renal artery stenosis was detected. Conclusions:The domestic interventional ultrasound RDN system could effectively reduce office and ambulatory blood pressure in patients with uncontrolled hypertension, demonstrating a favorable safety profile. Long-term efficacy requires confirmation through large-scale randomized controlled trials.

Objective To analyze the imaging manifestations of malignant transformation of ovarian mature teratoma.Methods The clinical data and CT and MRI imaging findings of four patients confirmed as malignant transformation of ovarian mature teratoma by operation and pathology were analyzed retrospectively.The following imaging features were assessed:size,shape,texture,enhancement degree and pattern,et al.Results Among the four cases,three lesions were located in the left ovary and one in the right ovary.The minimum size and maximum size were 87 mm×80 mm×87 mm and 171 mm×141 mm×215 mm,respectively.All of the lesions showed as round-like or ovoid cystic masses with fat-fluid level(4/4),and floating mixed density or signal masses(2/4).The demonstrated local thickening of the cyst wall(2/4)and/or soft mass growing across the wall(3/4),with significant inhomogeneous enhancement(2/3).Conclusion The malignant transformation of ovarian mature teratoma often presents as a cystic mass with fat-fluid level,and local thickening or soft mass of the cyst wall,with significant enhancement.It should be considered in the elderly patients with abnormal tumor markers and above imaging features.

Objective:To investigate the value of the nomogram based on quantitative parameters of dual-layer detector spectral CT and conventional CT features in preoperatively predicting tumor deposits (TDs) in colorectal cancer.Methods:This study was a case-control study. A total of 126 patients with pathologically confirmed colorectal cancer who underwent preoperative spectral CT scan from January 2022 to March 2023 in the First Affiliated Hospital of Soochow University were enrolled retrospectively. Patients were divided into TDs-positive group ( n=38) and TDs-negative group ( n=88) based on pathological results. The following conventional CT features were assessed: cT stage, cN status, uniformity of enhancement in the venous phase, pericolorectal fat invasion (PFI), maximum tumor diameter, and tumor location. The following quantitative parameters were also measured and calculated: the normalized iodine concentration (NIC) of lesions, the normalized effective atomic number (NZ eff), and the slope of the 40-100 keV spectral curve (K) in the arterial and venous phases, and the difference in NIC between the arterial and venous phases. Multivariate logistic regression analysis was used to select independent predictors of TDs and the nomogram based on spectral CT quantitative parameters and conventional CT features was constructed. The receiver operating characteristic curve was performed to evaluate the diagnostic performance of each parameter and model. DeLong test was used to compare the differences of area under the curve (AUC). Results:Statistically significant differences were found between the TDs-positive and TDs-negative groups for the cT stage, cN status, uniformity of enhancement in the venous phase, PFI, NIC, NZ eff, K in the venous phase and the difference in NIC between the arterial and venous phases ( P<0.05). After multivariate logistic regression analysis, the conventional CT feature model incorporated two features: uniformity of enhancement in the venous phase (OR=9.602, 95% CI 3.728-24.734, P=0.001) and PFI ( OR=2.881, 95% CI 1.177-7.049, P=0.020). The combined model of conventional CT features and spectral CT quantitative parameters incorporated three features: the difference in NIC between the arterial and venous phases ( OR=37.599, 95% CI 8.320-169.912, P=0.001), uniformity of enhancement in the venous phase ( OR=14.978, 95% CI 3.848-58.295, P=0.001), and PFI ( OR=4.013, 95% CI 1.320-12.760, P=0.015), and the nomogram was constructed. The AUC, sensitivity, and specificity of the nomogram for predicting TDs were 0.919 (95% CI 0.865-0.973), 84.2%, and 86.5%, respectively. The AUC of the conventional CT feature model was 0.796 (95% CI 0.707-0.885), which was lower than that of the nomogram, and the difference was statistically significant ( Z=3.87, P=0.001). Conclusion:Dual-layer spectral detector CT can be used to predict TDs in colorectal cancer preoperatively, and the nomogram based on quantitative parameters of dual-layer detector spectral CT and conventional CT features shows good diagnostic performance.

Objective:To develop a radiomics nomogram model based on CT to distinguish arteriovenous malformation(AVM) intracerebral hemorrhage from primary intracerebral hemorrhage.Methods:One hundred and thirty-five patients with cerebral hemorrhage confirmed by operation in the First Affiliated Hospital of Soochow University were analyzed retrospectively, including 52 patients with AVM cerebral hemorrhage and 83 patients with primary cerebral hemorrhage. Radiomics features were extracted from baseline CT, radiomics score (Radscore) was calculated and radiomic labels were constructed. Multiple logistic regression analysis was used for clinical features combined with CT signs to establish a clinical model. And then the nomogram model was generated according to the Radscore and the clinical model. The ROC curve and decision curve analysis (DCA) were used to evaluate the discrimination performance of the model.Results:Six features were selected and used to establish radiomic labels. The clinical model consisted of age (OR: 4.739, 95%CI 1.382-16.250) and hematoma location (OR: 0.111, 95%CI 0.032-0.385), while the nomogram model consisted of age, hematoma location and Radscore. In the training group, there was a significant difference between the nomogram model [area under curve (AUC) 0.912] and the clinical model (AUC 0.816), the radiomics model (AUC 0.857) ( Z=2.776, 2.034, P=0.006, 0.042, respectively); While in the validation group, there was no significant difference between the nomogram model (AUC 0.919) and the clinical model (AUC 0.788), the radiomics model (AUC 0.810) ( Z=1.796, 1.788, P=0.073, 0.074, respectively). DCA analysis showed that the clinical value of the nomogram model was superior to the clinical model and radiomic model. Conclusion:The radiomics nomogram can effectively distinguish AVM-related cerebral hemorrhage from primary cerebral hemorrhage, which is helpful for clinical decision-making.

This study aimed to quantitatively assess the effectiveness of the Wuhan lockdown measure on controlling the spread of coronavirus diesase 2019 (COVID-19). : Firstly，estimate the daily new infection rate in Wuhan before January 23，2020 when the city went into lockdown by consulting the data of Wuhan population mobility and the number of cases imported from Wuhan in 217 cities of Mainland China. Then estimate what the daily new infection rate would have been in Wuhan from January 24 to January 30th if the lockdown measure had been delayed for 7 days，assuming that the daily new infection in Wuhan after January 23 increased in a high，moderate and low trend respectively (using exponential, linear and logarithm growth models). Based on that，calculate the number of infection cases imported from Wuhan during this period. Finally，predict the possible impact of 7-day delayed lockdown in Wuhan on the epidemic situation in China using the susceptible-exposed-infectious-removed (SEIR) model. : The daily new infection rate in Wuhan was estimated to be 0.021%，0.026%，0.029%，0.033% and 0.070% respectively from January 19 to January 23. And there were at least 20 066 infection cases in Wuhan by January 23，2020. If Wuhan lockdown measure had been delayed for 7 days，the daily new infection rate on January 30 would have been 0.335% in the exponential growth model，0.129% in the linear growth model，and 0.070% in the logarithm growth model. Correspondingly，there would have been 32 075，24 819 and 20 334 infection cases travelling from Wuhan to other areas of Mainland China，and the number of cumulative confirmed cases as of March 19 in Mainland China would have been 3.3-3.9 times of the officially reported number. Conclusions: Timely taking city-level lockdown measure in Wuhan in the early stage of COVID-19 outbreak is essential in containing the spread of the disease in China.
COVID-19 ; China/epidemiology* ; Cities ; Communicable Disease Control ; Humans ; SARS-CoV-2

To evaluate the impact of socioeconomic status，population mobility，prevention and control measures on the early-stage coronavirus disease 2019 (COVID-19) development in major cities of China. : The rate of daily new confirmed COVID-19 cases in the 51 cities with the largest number of cumulative confirmed cases as of February 19，2020 (except those in Hubei province) were collected and analyzed using the time series cluster analysis. It was then assessed according to three aspects，that is, socioeconomic status，population mobility，and control measures for the pandemic. : According to the analysis on the 51 cities，4 development patterns of COVID-19 were obtained，including a high-incidence pattern (in Xinyu)，a late high-incidence pattern (in Ganzi)，a moderate incidence pattern (in Wenzhou and other 12 cities)，and a low and stable incidence pattern (in Hangzhou and other 35 cities). Cities with different types and within the same type both had different scores on the three aspects. : There were relatively large difference on the COVID-19 development among different cities in China，possibly affected by socioeconomic status，population mobility and prevention and control measures that were taken. Therefore，a timely public health emergency response and travel restriction measures inside the city can interfere the development of the pandemic. Population flow from high risk area can largely affect the number of cumulative confirmed cases.
COVID-19 ; China/epidemiology* ; Cities ; Humans ; SARS-CoV-2 ; Social Class