ObjectiveTo investigate the migration and distribution characteristics of chemical constituents in blood and hippocampal tissues before and after vinegar processing of Citri Reticulatae Pericarpium Viride（CRPV）， and to explore the potential material basis and mechanisms underlying their regulatory effects on emotional disorders by comparing the effects of raw and vinegar-processed products of CRPV. MethodsUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was employed to characterize and identify the chemical constituents of raw and vinegar-processed products of CRPV extracts， as well as their migrating components in blood and hippocampal tissues after oral administration. Reference standards， databases， and relevant literature were utilized for compound annotation， with data processing performed using PeakView 1.2 software. Seventy male C57BL/6 mice were randomly divided into seven groups， including the blank group， model group， diazepam group（2.5 mg·kg^-1）， raw CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， and vinegar-processed CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， with 10 mice per group. Except for the blank group， all other groups underwent chronic restraint stress（2 h·d^-1） for 20 d. Each drug-treated group received oral administration at the predetermined dose starting 10 d after modeling， with a total treatment duration of 10 d. Following model-based drug administration， mice underwent open-field， forced swimming， and elevated plus maze tests. After anesthesia with isoflurane， whole brains were collected from each group of mice， and hippocampi were dissected. Reactive oxygen species（ROS） level in hippocampal tissues was quantified by enzyme-linked immunosorbent assay（ELISA）. Hematoxylin-eosin（HE） staining was used to observe hippocampal tissue morphology. Immunofluorescence was performed to detect neuronal nuclei（NeuN） and peroxisome proliferator-activated receptor alpha（PPARα） expressions in hippocampal tissue. Then， pharmacodynamic evaluations were conducted to assess the effects of raw and vinegar-processed CRPV on mood disorders， exploring the potential mechanisms. ResultsVinegar processing caused significant changes in the chemical composition of CRPV， with 18 components showing increased relative content and 35 components showing decreased relative content. The primary changes occurred in flavonoid compounds， including 20 flavonoids， 20 flavonoid glycosides， 3 triterpenes， 3 phenolic acids， 1 alkaloid， and 6 other compounds. Twenty-one components were detected in blood（15 methoxyflavones， 4 flavonoid glycosides， and 2 phenolic acids）， with 17 shared between raw and vinegar-processed CRPV. Seven components reached hippocampal tissues（all common to both forms）. In regulating emotional disorders， Vinegar-processed CRPV exhibited superior antidepressant-like effects compared to raw products. HE staining revealed that both treatments improved hippocampal neuronal morphology， particularly in the damaged CA1 and CA3 regions. Immunofluorescence and ELISA analyses demonstrated that both raw and vinegar-processed CRPV significantly modulated NeuN and PPARα expressions in hippocampal tissue while alleviating oxidative stress induced by excessive ROS（P<0.05）. ConclusionThe chemical composition of CRPV undergoes changes after vinegar processing， but the migrating components in blood and hippocampus are primarily methoxyflavonoids. These components may serve as the potential material basis for activating the PPARα pathway， thereby negatively regulating ROS generation in the hippocampus， reducing oxidative stress， and promoting the development of NeuN-positive neurons. These findings provide experimental evidence for enhancing quality standards， pharmacodynamic material research， and active drug development of raw and vinegar-processed CRPV.

Objective: To evaluate the performance of 5T magnetic resonance imaging (MRI) in visualizing dental pulp and periodontal ligament (PDL) tissues in vivo in the young adult population, thereby providing a basis for the application of high-field MRI technology in clinical oral examinations. Methods: The study was approved by the Ethics Committee of the hospital. A total of 15 healthy volunteers (413 permanent teeth altogether) were recruited and underwent full-mouth 5T MRI scans. Among them, six volunteers (168 permanent teeth) also received both 3T MRI and cone-beam computed tomography (CBCT) scans. Two dental specialists independently evaluated the imaging quality of the dental pulp and PDL on the images using a 5-point Likert scale and recorded the number of detectable root canals for each tooth. Inter-rater agreement was assessed using weighted kappa statistics and intraclass correlation coefficient (ICC). Non-parametric tests were employed to compare differences in imaging performance among different tissue structures, tooth positions, and imaging modalities. Results: 5T MRI can achieve in vivo imaging for most dental pulp tissues and partial periodontal membrane structures. There was a high level of agreement between the two raters in their imaging scores for the dental pulp and PDL (dental pulp κ = 0.934, PDL κ = 0.737). The imaging scores for dental pulp were significantly higher than those for PDL (P < 0.001), and the scores for molar dental pulp were lower than those for premolars and anterior teeth. In the multimodal comparison involving six volunteers, the raters showed good consistency in scoring dental pulp and PDL imaging across 5T MRI, 3T MRI, and CBCT, as well as in root canal counts (5T MRI for dental pulp κ = 0.971, 3T MRI for dental pulp κ = 0.933, CBCT for dental pulp κ = 0.964; 5T MRI for PDL κ = 0.625, 3T MRI for PDL κ = 0.667, CBCT for PDL κ = 0.571; ICC for root canal counts all ≥ 0.990). The imaging scores for dental pulp and PDL using 5T MRI were significantly higher than those using 3T MRI (dental pulp: P < 0.001; PDL: P = 0.022), but there was no statistically significant difference in the detection rate of the number of root canals between the two (P > 0.05). Although the imaging scores for dental pulp and PDL as well as the detection rate of the number of root canals with 5T MRI were inferior to those with CBCT (dental pulp: P < 0.001; PDL: P = 0.02; number of root canals: P < 0.05), 5T MRI can truly achieve "direct imaging" of these two soft tissues. Conclusion 5T MRI enables effective in vivo direct imaging of dental pulp and PDL tissues in the young adult population, indicating its potential clinical application value in the diagnosis and treatment of pulp and periodontal diseases.

Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89％),high level-significant increasing group(6.11％),medium level-slow increasing group(65.00％).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P＜0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.

Objective To evaluate the efficiency of health resource allocation in 22 types of hospital institutions in Guangdong Province from 2018 to 2022,identify their strengths and shortcomings in resource utilization,and offer evidence-based recommendations for optimizing medical resource allocation and policymaking.Methods The efficiency of health resource allocation was assessed using the DEA-BCC model and the DEA-Malmquist index model across the 22 hospital categories.Results In 2022,the overall resource allocation efficiency of the 22 types of hospital institutions in Guangdong Province was suboptimal,with an average score of 0.657.From 2018 to 2022,the mean total factor productivity(TFP)change index for these hospitals was 0.968,with only 6 categories exhibiting a TFP index exceeding 1.Conclusion The efficiency of health resource allocation in Guangdong's hospitals remains inadequate.Government authorities should enhance macro-level planning for regional resource distribution,accelerate advancements in medical technology,and establish a real-time monitoring framework.Concurrently,policy interventions and incentive mechanisms should be reinforced to ensure both scientifically sound allocation and effective utilization of medical resources.

Objective:To investigate dietary patterns under social jet lag in pregnant women with gestational diabetes mellitus (GDM) and analyze its relationship with blood glucose control and delivery outcomes, to provide a reference for comprehensive management of pregnant women with GDM.Methods:A cross-sectional study method was used to select pregnant women with GDM during their stay in the obstetrics ward of the Obstetrics and Gynaecology Hospital of Nanjing Medical University from October 2022 to December 2023 as the study population. Social jet lag and dietary information were collected using Simplified Food Frequency Questionnaire and Self-assessment Questionnaire on Social Jet Lag. Spearman correlation analysis was used to analyze the correlation between dietary patterns and blood glucose control as well as delivery outcomes. Receiver operating characteristic curve was used to analyze the predictive performance of social jet lag, dietary patterns and fasting blood glucose for cesarean section.Results:A total of 350 pregnant women with GDM were included, 140 pregnant women with social time lag, aged (31.97 ± 3.88) years old; 210 pregnant women without social time lag, aged (32.32 ± 3.91) years old. The plant-based dietary pattern factor, fast food dietary pattern factor, and the intakes of protein, fat, and carbohydrates of pregnant women with social jet lag were -0.06 (-0.25, 0.32) and 0.08 (-0.43, 0.66), (119.57 ± 89.77) g, (82.69 ± 59.48) g, (228.77 ± 140.18) g, compared with pregnant women without social jet lag [-0.21 (-0.39, 0.08), -0.24 (-0.57, 0.07), (86.29 ± 47.75) g, (57.31 ± 37.86) g, (170.79 ± 85.56) g], the differences were statistically significant ( Z=-2.39, -2.86, t=81.43, 90.78, 88.34, all P<0.05). The social jet lag of GDM women was positively correlated with plant-based dietary patterns, fast food dietary patterns, fasting blood glucose, glycated hemoglobin and cesarean section ( r values were 0.19-0.24, all P<0.05). The plant-based dietary pattern of pregnant women with GDM was negatively correlated with fasting blood glucose and cesarean section ( r=-0.17, -0.24, both P<0.05), while the fast food dietary pattern was positively correlated with fasting blood glucose and cesarean section ( r=0.20, 0.19, both P<0.05). The area under the curve in the combined prediction of multiple factors such as social jet lag, plant-based dietary pattern, fast food dietary pattern and fasting blood glucose for the outcome of cesarean section during pregnancy was 0.742. Conclusions:The dietary structure of GDM women with social jet lag is unreasonable, consume more carbohydrates, sugar, and fats, which are associated with poor glycemic control and increased cesarean section rate. Medical staff should be alerted to social jet lag preferences and dietary intake of GDM and include them in the risk assessment of adverse outcomes of GDM, give timely correction and strengthen management, which can provide a reference for early preventive interventions for GDM with different risk stratification.

Objective: To discover molecular markers associated with lung adenocarcinoma diagnosis/prognosis and drug resistance through screening of differentially expressed genes based on published chip data in gene expression databases using bioinformatics methods. Methods: Comprehensive analysis was performed in available mRNA microarray datasets including lung adenocarcinoma tissues dataset GSE32863 and lung adenocarcinoma taxane-platin resistance dataset GSE77209 from the gene expression omnibus(GEO) database. Gene ontology enrichment analysis, gene pathway enrichment analysis and protein interaction network analysis were performed based on significantly correlated genes. The expression level of genes was validated in the cancer genome atlas(TCGA) dataset. Survival differences were assessed by the log-rank test in TCGA lung adenocarcinoma dataset. Based on the publications genomics of drug sensitivity in cancer(GDSC) database in CellMiner cross database(CellMiner CDB), Pearson correlation analysis was used to analyze the correlation between differentially expressed genes and the half-maximal inhibitory concentration(IC50) of anticancer drugs. Results : There were a total of 77 genes which had a different expression in resistance lung adenocarcinoma cells and lung adenocarcinoma cancer tissues. The functional enrichment analysis showed that these co-different expression genes were mainly enriched in microtubule, extracellular exosome, cell cycle and signaling by nuclear receptors. Protein-protein interactions(PPI) network screened 6 most connected genes as molecular complex(MCODE). Among the MCODE, overexpressed ubiquitin conjugating enzyme E2 T(UBE2T), kinesin family member 20A(KIF20A), PCNA clamp associated factor(KIAA0101), pituitary tumor-transforming gene 1(PTTG1) and NIMA related kinase 2(NEK2) were associated with poor outcomes. Survival analysis results showed that these five genes were upregulated in lung adenocarcinoma tissues and drug-resistant cells and were significantly associated with poor prognosis in lung adenocarcinoma patients. Drug sensitivity analysis results suggested that high expression of PTTG1 and UBE2T was significantly associated with sensitivity to multiple anticancer drugs, including paclitaxel and docetaxel. RT-PCR validation showed that PTTG1 andUBE2T were highly expressed in docetaxel-resistant cells A549-TXR and H358-TXR. Conclusion PTTG1 andUBE2T holds the potential to be chemoresistance markers in lung adenocarcinoma.

The gradient field, one of the core magnetic fields in magnetic resonance imaging (MRI) systems, is generated by gradient coils and plays a critical role in spatial encoding and the generation of echo signals. The uniformity or linearity of the gradient field directly impacts the quality and distortion level of MRI images. However, traditional point measurement methods lack accuracy in assessing the linearity of gradient fields, making it difficult to provide effective parameters for image distortion correction. This paper introduced a spherical measurement-based method that involved measuring the magnetic field distribution on a sphere, followed by detailed magnetic field calculations and linearity analysis. This study, applied to assess the nonlinearity of asymmetric head gradient coils, demonstrated more comprehensive and precise results compared to point measurement methods. This advancement not only strengthens the scientific basis for the design of gradient coils but also provides more reliable parameters and methods for the accurate correction of MRI image distortions.
Magnetic Resonance Imaging/instrumentation* ; Humans ; Image Processing, Computer-Assisted/methods* ; Nonlinear Dynamics ; Magnetic Fields ; Algorithms ; Phantoms, Imaging

Objective:To investigate dietary patterns under social jet lag in pregnant women with gestational diabetes mellitus (GDM) and analyze its relationship with blood glucose control and delivery outcomes, to provide a reference for comprehensive management of pregnant women with GDM.Methods:A cross-sectional study method was used to select pregnant women with GDM during their stay in the obstetrics ward of the Obstetrics and Gynaecology Hospital of Nanjing Medical University from October 2022 to December 2023 as the study population. Social jet lag and dietary information were collected using Simplified Food Frequency Questionnaire and Self-assessment Questionnaire on Social Jet Lag. Spearman correlation analysis was used to analyze the correlation between dietary patterns and blood glucose control as well as delivery outcomes. Receiver operating characteristic curve was used to analyze the predictive performance of social jet lag, dietary patterns and fasting blood glucose for cesarean section.Results:A total of 350 pregnant women with GDM were included, 140 pregnant women with social time lag, aged (31.97 ± 3.88) years old; 210 pregnant women without social time lag, aged (32.32 ± 3.91) years old. The plant-based dietary pattern factor, fast food dietary pattern factor, and the intakes of protein, fat, and carbohydrates of pregnant women with social jet lag were -0.06 (-0.25, 0.32) and 0.08 (-0.43, 0.66), (119.57 ± 89.77) g, (82.69 ± 59.48) g, (228.77 ± 140.18) g, compared with pregnant women without social jet lag [-0.21 (-0.39, 0.08), -0.24 (-0.57, 0.07), (86.29 ± 47.75) g, (57.31 ± 37.86) g, (170.79 ± 85.56) g], the differences were statistically significant ( Z=-2.39, -2.86, t=81.43, 90.78, 88.34, all P<0.05). The social jet lag of GDM women was positively correlated with plant-based dietary patterns, fast food dietary patterns, fasting blood glucose, glycated hemoglobin and cesarean section ( r values were 0.19-0.24, all P<0.05). The plant-based dietary pattern of pregnant women with GDM was negatively correlated with fasting blood glucose and cesarean section ( r=-0.17, -0.24, both P<0.05), while the fast food dietary pattern was positively correlated with fasting blood glucose and cesarean section ( r=0.20, 0.19, both P<0.05). The area under the curve in the combined prediction of multiple factors such as social jet lag, plant-based dietary pattern, fast food dietary pattern and fasting blood glucose for the outcome of cesarean section during pregnancy was 0.742. Conclusions:The dietary structure of GDM women with social jet lag is unreasonable, consume more carbohydrates, sugar, and fats, which are associated with poor glycemic control and increased cesarean section rate. Medical staff should be alerted to social jet lag preferences and dietary intake of GDM and include them in the risk assessment of adverse outcomes of GDM, give timely correction and strengthen management, which can provide a reference for early preventive interventions for GDM with different risk stratification.

Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89％),high level-significant increasing group(6.11％),medium level-slow increasing group(65.00％).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P＜0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.

Objective To evaluate the efficiency of health resource allocation in 22 types of hospital institutions in Guangdong Province from 2018 to 2022,identify their strengths and shortcomings in resource utilization,and offer evidence-based recommendations for optimizing medical resource allocation and policymaking.Methods The efficiency of health resource allocation was assessed using the DEA-BCC model and the DEA-Malmquist index model across the 22 hospital categories.Results In 2022,the overall resource allocation efficiency of the 22 types of hospital institutions in Guangdong Province was suboptimal,with an average score of 0.657.From 2018 to 2022,the mean total factor productivity(TFP)change index for these hospitals was 0.968,with only 6 categories exhibiting a TFP index exceeding 1.Conclusion The efficiency of health resource allocation in Guangdong's hospitals remains inadequate.Government authorities should enhance macro-level planning for regional resource distribution,accelerate advancements in medical technology,and establish a real-time monitoring framework.Concurrently,policy interventions and incentive mechanisms should be reinforced to ensure both scientifically sound allocation and effective utilization of medical resources.