Objective:To investigate the alterations in the topological properties of gray matter and white matter dynamic and static functional brain networks in patients with major depressive disorder (MDD) and bipolar depression (BDD) using graph theory analysis, and to evaluate the potential of their combination as biomarkers for differential diagnosis between unipolar and bipolar depression.Methods:From March 2021 to April 2024, inpatients were recruited from the Department of Psychosomatic Medicine, Zhongda Hospital, Southeast University, including 132 patients with MDD, 84 patients with BDD, and 91 healthy controls (HCs). Resting-state structural and functional MRI data were collected, and dynamic and static functional brain networks of gray matter and white matter were constructed. Graph theory analysis was applied to calculate global and nodal network properties, differences in topological attributes among the three groups were compared by One-way analysis of covariance, and Turkey′s post hoc test was used for further pairwise comparison. The network topology attribute indicators with statistically significant inter-group differences were selected using the Least Absolute Shrinkage and Selection Operator regression (LASSO) for feature classification. The diagnostic performance of combined gray and white matter network features for distinguishing MDD from BDD was assessed using receiver operating characteristic (ROC) curves and a random forest model.Results:In the analysis of the static gray matter functional network, both MDD and BDD patients showed abnormal local topological properties. Compared with HCs, the MDD group exhibited abnormal betweenness centrality (BC) in the left inferior frontal gyrus, left precuneus, left ventromedial occipital cortex, right ventromedial occipital cortex, and right anterior thalamus ( t=-3.95-3.62, all P<0.05). The degree centrality (DC) of the left and right anterior thalamus was also abnormal in the MDD group ( t=3.78,4.14, both P<0.001), as was the nodal efficiency (Ne) of the left precuneus and bilateral anterior thalamus ( t=2.37, 3.61, 3.82, all P<0.05). Compared with HCs, the BDD group showed abnormalities in DC and Ne of the left precuneus ( t=-2.76, P=0.014; t=-3.01, P=0.007). In the analysis of the dynamic white matter functional network, both MDD and BDD patients demonstrated abnormal temporal variability of local topological properties. Compared with HCs, the MDD and BDD groups showed reduced BC temporal variability in the left superior corona radiata ( t=-2.39, P=0.047; t=-4.28, P<0.001), and there were significant differences in DC temporal variability in the right posterior limb of the internal capsule and lentiform nucleus ( t=2.65, P=0.021; t=3.49, P=0.001) in MDD group compared with HCs and BBD. The differential diagnosis model combining gray and white matter dynamic and static network topological features achieved an area under the ROC curve of 0.80. Conclusion:Both MDD and BDD exhibit altered topological properties in static gray matter functional networks and dynamic white matter functional networks. The combination of these features may aid in the differential diagnosis of MDD and BDD.

Objective To establish a rat model of Alzheimer's disease (AD) expressing human triple mutant amyloid precursor protein (APP) in the hippocampus, and to provide a model for the study of disease mechanisms and drug development. Methods Twenty-four 12-week-old SPF-grade female SD rats were randomly divided into a blank control group, a virus control group and an experimental group, with eight rats in each group; among them, the experimental group received a stereotaxic injection of adeno-associated virus (AAV) carrying the human triple mutant APP and NanoLuc luciferase genes into the hippocampus. In vivo imaging was used to observe viral expression in the brains of rats in each group, the novel object recognition test was used to assess the recognition memory of the rats in each group, real-time fluorescent quantitative PCR was used to detect the expression level of the APP gene, HE staining was used to examine the brain histopathology, Nissl staining was used to assess the hippocampal lesions, and immunohistochemistry was used to detect the deposition of amyloid β-protein (Aβ). Results In vivo imaging showed that reporter fluorescence was detected in the brains of rats in both experimental and virus control groups. Fluorescence quantitative PCR showed that the expression level of the APP gene was significantly increased in the brains of rats in the experimental group (P<0.01). Novel object recognition test revealed that the recognition memory of rats in the experimental group was significantly reduced compared with that of the blank control group (P<0.01). Six months after recombinant AAV virus infection, HE staining and Nissl staining of brain tissues showed that the number of neurons and Nissl bodies in the CA1 region of the hippocampus in the experimental group was reduced and disorganized; immuno-histochemistry testing of the CA1 region of the hippocampus and the pyramidal cell layer of the experimental group revealed prominent brown deposits, indicating Aβ protein deposition. Conclusion The rat model successfully established by stereotaxic injection and AAV-mediated delivery of human triple mutant APP gene exhibits typical AD features, providing a valuable animal model for studying AD pathology and developing drug therapies targeting Aβ protein deposition.

Objective To establish a rat model of Alzheimer's disease (AD) expressing human triple mutant amyloid precursor protein (APP) in the hippocampus, and to provide a model for the study of disease mechanisms and drug development. Methods Twenty-four 12-week-old SPF-grade female SD rats were randomly divided into a blank control group, a virus control group and an experimental group, with eight rats in each group; among them, the experimental group received a stereotaxic injection of adeno-associated virus (AAV) carrying the human triple mutant APP and NanoLuc luciferase genes into the hippocampus. In vivo imaging was used to observe viral expression in the brains of rats in each group, the novel object recognition test was used to assess the recognition memory of the rats in each group, real-time fluorescent quantitative PCR was used to detect the expression level of the APP gene, HE staining was used to examine the brain histopathology, Nissl staining was used to assess the hippocampal lesions, and immunohistochemistry was used to detect the deposition of amyloid β-protein (Aβ). Results In vivo imaging showed that reporter fluorescence was detected in the brains of rats in both experimental and virus control groups. Fluorescence quantitative PCR showed that the expression level of the APP gene was significantly increased in the brains of rats in the experimental group (P<0.01). Novel object recognition test revealed that the recognition memory of rats in the experimental group was significantly reduced compared with that of the blank control group (P<0.01). Six months after recombinant AAV virus infection, HE staining and Nissl staining of brain tissues showed that the number of neurons and Nissl bodies in the CA1 region of the hippocampus in the experimental group was reduced and disorganized; immuno-histochemistry testing of the CA1 region of the hippocampus and the pyramidal cell layer of the experimental group revealed prominent brown deposits, indicating Aβ protein deposition. Conclusion The rat model successfully established by stereotaxic injection and AAV-mediated delivery of human triple mutant APP gene exhibits typical AD features, providing a valuable animal model for studying AD pathology and developing drug therapies targeting Aβ protein deposition.

OBJECTIVE: The investigation of the correlation between ecological factors and the genetic characteristics or metabolites of plants offers valuable insights into the regional causes of genetic and metabolic diversity. Here, Gastrodia elata, a medicinal plant, is employed as a model to explore the environmental factors that influence its genetic characteristics and metabolic accumulations. METHODS: A total of 23 G. elata populations from six cultispecies and 11 cultivated regions were selected based on the predictions of the global geographic information system. The genetic characteristics of these populations were evaluated using highly polymorphic simple sequence repeat markers. Additionally, the metabolic accumulations and antioxidant capacity of mature tubers were measured employing colorimetry and high performance liquid chromatography (HPLC). Ecological data of each region were obtained from the WorldClim-global climate database and harmonized world soil database. To assess the influence of ecological factors on the genetic characteristics and metabolic profiles of G. elata, Pearson's correlation analysis was conducted. RESULTS: Genetic variation among G. elata populations exceeded that within populations. Genetic diverisity, distance and structure manifested regional and species-specific patterns. Metabolic profiling and antioxidant capacity exhibited regional variations. Notably, the Lueyang region demonstrated that a content range of total polysaccharide, total protein, and phenolic glycosides was 9.34%-189.67% higher than the average. Similarly, in the Hubei region, total phenolic content, p-hydroxybenzyl alcohol content, and antioxidant indicators were observed to be higher than the average levels, by 106.57%, 136.47% and 12.50%-91.14%, respectively. Furthermore, ecological factors had a significant comprehensive impact on G. elata genetic characteristics (r > 0.256 and P < 0.05). Multivariate metabolite accumulations in G. elata were influenced by dominant ecological factors. Temperature notably impacted the accumulation of total protein (|r| > 0.528 and P < 0.05). Moisture, encompassing precipitation and soil content, significantly affected the production of phenolic glycosides (|r| > 0.503 and P < 0.05). CONCLUSION The genetic characteristics of G. elata manifested regional and species-specific patterns, with the metabolic accumulations and antioxidant capacity of mature tubers exhibited regional variations. Specifically, multivariate ecological factors comprehensively influenced genetic characteristics. Temperature and moisture played pivotal roles in regulating the accumulations of proteins and phenolic glycosides, respectively. These findings underscore the significant impact of ecological factors on the shaping of G. elata, highlighting their crucial role in enhancing the quality of Chinese medicinal materials.

Objective To study the characteristics of animal models of pulmonary fibrosis so as to provide a reference for the standardization of such models,and to guide research on the pathogenesis,diagnosis,and treatment of pulmonary fibrosis.Methods Studies using experimental pulmonary fibrosis in animals published in the past 10 years were retrieved from the CNKI,Wanfang,VIP,SinoMed,and PubMed databases.Factors including animal species,sex,modeling method,and detection index were summarized,and the data were analyzed using Excel.Results A total of 292 eligible studies were included.The animals mainly included SD rats,Wistar rats,and C57BL/6 mice,and most were male.The most common modeling drugs were bleomycin,paraquat,and silica suspension,mainly administered by intratracheal injection,with a typical modeling cycle of 28 d.The detection indexes mainly comprised lung tissue pathology and measurements of protein expression,cytokine levels,and biochemical indexes.Conclusions SD rats and C57BL/6 mice were the most commonly used animals for experimental pulmonary fibrosis,and intratracheal injection of bleomycin(5 mg/kg)was the most frequently used modeling method.This approach allows for the straightforward and effective replication of pathological features resembling human pulmonary fibrosis,and may serve as a reference for future experimental studies using animal models of pulmonary fibrosis.

Objective To investigate the effects of HIF1A-AS1 on the proliferation and apoptosis of gastric cancer cells lines BGC-823 and MKN28 and its possible mechanism.Methods The expression of HIF1A-AS1 in gastric cancer tissues was analyzed by bioinformatics.H1F1A-AS1 over expression and silenced BGC-823 and MKN28 cell strains were constructed.HIF1A-AS1 expression was detected by real-time PCR,cell proliferation was detected by CCK-8 assay,and apoptosis was detected by flow cytometry.Western blot was used to detect the expression of HIF1A protein in cytoplasm and nucleus and cellular immunofluorescence was used to detect HIF1A protein into nucleus.Results Models of BGC-823 and MKN28 gastric cancer cells with HIF1A-AS1 over-expression and silence were successfully constructed.HIF1A-AS1 over-expression decreased cell proliferation(P＜0.05),while HIF1A-AS1 over-expression significantly increased cell proliferation(P＜0.05).HIF1A-AS1 silencing significantly increased the apoptosis(P＜0.05),and HIF1A-AS1-over expression significantly decreased the apoptosis(P＜0.05).HIF1A-AS1 silencing inhibited the nucleation of HIF1A protein and over-expression promoted the nucleation of HIF1A pro-tein.HIF1A-AS1 silencing significantly decreased the expression of HIF1A cytoplasmic protein(P＜0.05)and over-expression of HIF1A-AS1 significantly increased the expression of HIF1A cytoplasm protein(P＜0.05).HIF1A-AS1 silencing significantly decreased the expression of HIF1A nuclear protein(P＜0.05)while HIF1A-AS1 over-expression significantly increased the expression of HIF1A nuclear protein(P＜0.05).Conclusions HIF1A-AS1 may promote the proliferation and inhibit apoptosis of BGC-823 and MKN28 gastric cancer cells by regulating the expression of parental gene HIF1A.

Objective To investigate the effects of HIF1A-AS1 on the proliferation and apoptosis of gastric cancer cells lines BGC-823 and MKN28 and its possible mechanism.Methods The expression of HIF1A-AS1 in gastric cancer tissues was analyzed by bioinformatics.H1F1A-AS1 over expression and silenced BGC-823 and MKN28 cell strains were constructed.HIF1A-AS1 expression was detected by real-time PCR,cell proliferation was detected by CCK-8 assay,and apoptosis was detected by flow cytometry.Western blot was used to detect the expression of HIF1A protein in cytoplasm and nucleus and cellular immunofluorescence was used to detect HIF1A protein into nucleus.Results Models of BGC-823 and MKN28 gastric cancer cells with HIF1A-AS1 over-expression and silence were successfully constructed.HIF1A-AS1 over-expression decreased cell proliferation(P＜0.05),while HIF1A-AS1 over-expression significantly increased cell proliferation(P＜0.05).HIF1A-AS1 silencing significantly increased the apoptosis(P＜0.05),and HIF1A-AS1-over expression significantly decreased the apoptosis(P＜0.05).HIF1A-AS1 silencing inhibited the nucleation of HIF1A protein and over-expression promoted the nucleation of HIF1A pro-tein.HIF1A-AS1 silencing significantly decreased the expression of HIF1A cytoplasmic protein(P＜0.05)and over-expression of HIF1A-AS1 significantly increased the expression of HIF1A cytoplasm protein(P＜0.05).HIF1A-AS1 silencing significantly decreased the expression of HIF1A nuclear protein(P＜0.05)while HIF1A-AS1 over-expression significantly increased the expression of HIF1A nuclear protein(P＜0.05).Conclusions HIF1A-AS1 may promote the proliferation and inhibit apoptosis of BGC-823 and MKN28 gastric cancer cells by regulating the expression of parental gene HIF1A.

Objective To study the characteristics of animal models of pulmonary fibrosis so as to provide a reference for the standardization of such models,and to guide research on the pathogenesis,diagnosis,and treatment of pulmonary fibrosis.Methods Studies using experimental pulmonary fibrosis in animals published in the past 10 years were retrieved from the CNKI,Wanfang,VIP,SinoMed,and PubMed databases.Factors including animal species,sex,modeling method,and detection index were summarized,and the data were analyzed using Excel.Results A total of 292 eligible studies were included.The animals mainly included SD rats,Wistar rats,and C57BL/6 mice,and most were male.The most common modeling drugs were bleomycin,paraquat,and silica suspension,mainly administered by intratracheal injection,with a typical modeling cycle of 28 d.The detection indexes mainly comprised lung tissue pathology and measurements of protein expression,cytokine levels,and biochemical indexes.Conclusions SD rats and C57BL/6 mice were the most commonly used animals for experimental pulmonary fibrosis,and intratracheal injection of bleomycin(5 mg/kg)was the most frequently used modeling method.This approach allows for the straightforward and effective replication of pathological features resembling human pulmonary fibrosis,and may serve as a reference for future experimental studies using animal models of pulmonary fibrosis.

Objective:To investigate the alterations in the topological properties of gray matter and white matter dynamic and static functional brain networks in patients with major depressive disorder (MDD) and bipolar depression (BDD) using graph theory analysis, and to evaluate the potential of their combination as biomarkers for differential diagnosis between unipolar and bipolar depression.Methods:From March 2021 to April 2024, inpatients were recruited from the Department of Psychosomatic Medicine, Zhongda Hospital, Southeast University, including 132 patients with MDD, 84 patients with BDD, and 91 healthy controls (HCs). Resting-state structural and functional MRI data were collected, and dynamic and static functional brain networks of gray matter and white matter were constructed. Graph theory analysis was applied to calculate global and nodal network properties, differences in topological attributes among the three groups were compared by One-way analysis of covariance, and Turkey′s post hoc test was used for further pairwise comparison. The network topology attribute indicators with statistically significant inter-group differences were selected using the Least Absolute Shrinkage and Selection Operator regression (LASSO) for feature classification. The diagnostic performance of combined gray and white matter network features for distinguishing MDD from BDD was assessed using receiver operating characteristic (ROC) curves and a random forest model.Results:In the analysis of the static gray matter functional network, both MDD and BDD patients showed abnormal local topological properties. Compared with HCs, the MDD group exhibited abnormal betweenness centrality (BC) in the left inferior frontal gyrus, left precuneus, left ventromedial occipital cortex, right ventromedial occipital cortex, and right anterior thalamus ( t=-3.95-3.62, all P<0.05). The degree centrality (DC) of the left and right anterior thalamus was also abnormal in the MDD group ( t=3.78,4.14, both P<0.001), as was the nodal efficiency (Ne) of the left precuneus and bilateral anterior thalamus ( t=2.37, 3.61, 3.82, all P<0.05). Compared with HCs, the BDD group showed abnormalities in DC and Ne of the left precuneus ( t=-2.76, P=0.014; t=-3.01, P=0.007). In the analysis of the dynamic white matter functional network, both MDD and BDD patients demonstrated abnormal temporal variability of local topological properties. Compared with HCs, the MDD and BDD groups showed reduced BC temporal variability in the left superior corona radiata ( t=-2.39, P=0.047; t=-4.28, P<0.001), and there were significant differences in DC temporal variability in the right posterior limb of the internal capsule and lentiform nucleus ( t=2.65, P=0.021; t=3.49, P=0.001) in MDD group compared with HCs and BBD. The differential diagnosis model combining gray and white matter dynamic and static network topological features achieved an area under the ROC curve of 0.80. Conclusion:Both MDD and BDD exhibit altered topological properties in static gray matter functional networks and dynamic white matter functional networks. The combination of these features may aid in the differential diagnosis of MDD and BDD.

Objective: To explore the association between dietary behaviors and sleep duration among middle school students in Shanghai, so as to provide reference for interventions targeting insufficient sleep. Methods: From May to June 2021, a stratified cluster random sampling method was employed to select a sample of 10-17yearold middle school students for monitoring their healthrisk behaviors. A total of 5 538 valid questionnaires were collected. The survey included items such as daily sleep duration, weekly consumption of sugary beverages, freshly squeezed fruit juice, fresh fruits, fresh vegetables, fried foods, milk and yogurt, breakfast habits, and frequency of eating outside. Statistical analysis was conducted using Chisquare test, Wilcoxon ranksum test, and multivariable Logistic regression model. Results: About 73.7% of middle school students reported insufficient sleep in Shanghai. There was a positive correlation between the average daily consumption of fresh fruits and breakfast consumption with sleep duration. In other words, a higher frequency of consuming fresh fruits (OR=1.29) and eating breakfast (OR=1.07) were associated with a higher likelihood of sufficient sleep. Conversely, there was a negative correlation between the frequency of consuming desserts (OR=0.78) and fried foods (OR=0.88) and sleep duration (P<0.05). Conclusions Increasing the consumption of fresh fruits and maintaining regular breakfast habits while reducing the intake of fried foods can contribute to achieving sufficient sleep among middle school students. When implementing interventions to improve sleep among middle school students, promoting healthy and balanced diets can be considered as one of the intervention strategies.