Objective:To explore the material basis and mechanism of Linggui Zhugan Decoction in treating hypertension and obesity by means of network pharmacology and molecular docking technique.Methods:The TCMSP was retrieved and the main active components and action targets of Linggui Zhugan Decoction were screened. The GeneCards, OMIM, TTD, DisGeNET and DrugBank databases were used to screen disease-related targets of hypertension and obesity. The Cytoscape 3.9.0 was used to draw Chinese materia medica-composition-intersection target-disease network diagram. The STRING 11.5 database was used to draw PPI network. The cytoNCA plug-in was used to screen core active components and targets. The bioenrichment analysis of GO and KEGG was carried out in the R4.1.2, and the Chinese materia medica-intersection target-path diagram was drawn, and the core active components and core targets were docked in PyMOL and AutoDockTools 1.5.7.Results:A total of 102 potentially active components and 62 intersection targets were obtained, and 8 active components and 7 core targets were screened. Enrichment analysis showed that the key targets were mainly enriched through the signaling pathways of fluid shear stress and atherosclerosis, lipid and atherosclerosis, and AGE-RAGE, which were involved in biological processes such as the response to nutritional levels and the regulation of small molecule metabolism. Molecular docking showed that there were 37 groups with addinity < -7 kcal/mol.Conclusion:The main active components of Linggui Zhugan Decoction are quercetin, kaempferol and naringenin, which may play a role in fluid shear stress and atherosclerosis pathway, lipid and atherosclerosis pathway and AGE-RAGE signal pathway through AKT1, EGFR, IL1B and other targets.

ObjectiveTo analyze the relationship between somatic symptoms， five-state personality and emotional symptoms of bipolar disorder （BD）， and to provide a reference for the clinical diagnosis and treatment of BD. MethodsThe basic information of the BD patients was collected， and the self-administered somatic symptom questionnaire was used to investigate the somatic symptoms with a frequency of ＞20%， which were scored as the somatic symptom scores； the 24-item Hamilton Depression Scale （HAMD） was used to evaluate the patients' depressive symptoms， the Young Mania Rating Scale （YMRS） was used to evaluate the patients' manic symptoms， the Hamilton Anxiety Scale （HAMA） was used to evaluate the patients' anxiety symptoms， and Five-State Personality Test was used to evaluate the patients' five-state personality （including taiyang personality， shaoyang personality， yin-yang balance personality， shaoyin personality， and taiyin personality）. Network analysis and linear regression were used to analyse the correlation between the somatic symptom scores and the five-state personality scores， HAMD scores， YMRS scores， and HAMA scores. ResultsThere were 269 patients with BD included， and 19 somatic symptoms with a frequency of ＞20%， the top three being lack of strength （152 cases， 56.51%）， dry mouth （137 cases， 50.93%）， and preference for cold drinks （112 cases， 41.64%）， and the somatic symptom scores were ［7.0 （0，10.0）］ points； the YMRS scores were ［3.0 （0， 7.5）］ points； the HAMD scores were ［11.0 （5.0， 18.0）］ points； and HAMA score was ［6.0 （2.0， 10.0）］ points. Among the five-state personalities， taiyang personality ［10.0 （7.0， 13.0）］ score； shaoyang personality ［10.0 （7.5， 13.0）］ score； yin-yang balance personality ［5.0 （3.0， 7.0）］ score； shaoyin personality ［13.0 （10.0， 16.0）］ score； and taiyin personality ［14.0 （9.0， 18.0）］ score. Complex network analysis showed that BD somatic symptoms were positively correlated with taiyin personality score （r = 0.23）， HAMD score （r = 0.21）， and YMRS score （r = 0.13）； taiyin personality score was positively correlated with HAMD score （r = 0.17） and negatively correlated with YMRS score （r = -0.03）. Linear regression analyses showed that somatic symptom scores were positively correlated with HAMD score （β = 0.138， P = 0.003）， YMRS score （β = 0.128， P = 0.006）， and taiyin personality scores （β = 0.182， P＜0.001）. ConclusionDepression， mania， and taiyin personality are independent risk factors for somatic symptoms in patients with BD， and taiyin personality is strongly associated with somatic symptoms in patients with BD.

Objective To observe the value of lumbar spine bone marrow MR T1 mapping radiomics for predicting clinical risk of acute lymphoblastic leukemia(ALL)in children.Methods Lumbar bone marrow T1 mappings were prospectively acquired from 77 newly diagnosed ALL children.The volume of interest(VOI)of L3 vertebral body was segmented using 3D Slicer software and 2 060 radiomics features were extracted,and the best features were screened.The children were divided into training and testing sets at the ratio of 8:2.Logistic regression(LR),support vector machine(SVM)and random forest(RF)were used to established radiomics models based on the best features,respectively,which were trained in training set and verified in testing set.The clinical risk was evaluated according to newly diagnosed risk and the response to chemotherapy after MR examination.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting clinical risk of ALL in children.Results There were 52 cases in low-medium risk group and 25 in high risk group.The training set consisted of 44 cases of low-medium risk and 17 of high risk,while the testing set consisted of 8 cases of low-medium risk and 8 of high risk.Twelve best features were selected to establish radiomics models.The sensitivity and accuracy of RF model in training set were both 100％,but its sensitivity(50.00％)and accuracy(75.00％)in testing set were both low,which indicating overfitting.The AUC(0.95)of LR model was slightly higher than that of SVM model(0.92)in testing set,but no significantly difference was found(P＞0.05),and the accuracy of these two models was consistent.Conclusion Both lumbar bone marrow T1 mapping LR and SVM radiomics models could be used to predict clinical risk of ALL in children,and LR model had better predictive efficacy.

ObjectiveTo explore the elements， distribution and characteristics of traditional Chinese medicine （TCM） syndromes in depressive episodes of bipolar disorder （BD）. MethodsBasic information， along with the four examination information， the Hamilton Depression Scale and Young Mania Rating Scale scores， were collected from 293 outpatients with BD at Beijing Anding Hospital， Capital Medical University. The four examination information with an occurrence rate greater than 12% were retained. The R language “dist” function was used to calculate the distances between samples using the Euclidean distance method. The hierarchical clustering of the four examination information was performed using the “hclust” function and the squared Euclidean distance method. A team of five researchers was formed to determine the nature and location of the essential elements of TCM syndrome in BD based on the clustering results. The PC algorithm was used to construct a Bayesian network model of the essential elements. The working group combined the essential elements of TCM syndromes in the Bayesian network according to the reference model results， and then extracted common TCM syndromes. The score of each patient based on the essential elements was matched with the common TCM syndromes to determine the syndrome type of each patient. The working group then performs conformity and revision based on this， obtaining the final distribution of TCM syndromes for the patients. ResultsThere were 77 common TCM symptoms in BD with a frequency greater than 12%. The top 15 symptoms with higher frequencies were slippery pulse， mental fatigue and lack of strength， wiry pulse， excessive rumination， preference for solitude， vexation， agitation and irritability， dry mouth， palpitations， profuse dreaming， unwarranted worries， chest oppression， thin white coating， amnesia， frequent sighing， and poor appetite. TCM syndrome elements of BD can be grouped into 11 categories. The nature of disease-related essential elements included fire， qi deficiency， blood deficiency， qi counterflow， yin deficiency， dampness， heat， fire from constraint， and phlegm. The location of disease-related essential elements included heart， liver， spleen， stomach， kidney， bladder channel， and gallbladder. By constructing a Bayesian network model and considering the opinions from the experts， six common syndromes of BD were identified， among which the highest proportion was heart-stomach heat accumulation， accounting for 27.99% （82 cases）， followed by heart-spleen deficiency （55 cases， 18.77%）， non-interaction between the heart and the kidney （49 cases， 16.72%）， liver constraint and blood deficiency （42 cases， 14.33%）， heart qi deficiency （37 cases， 12.63%）， and damp-heat in the liver and gallbladder （28 cases， 9.56%）. ConclusionsThe nature of disease-related elements of BD are predominantly fire and heat， while the location of disease-related essential elements are primarily associated with the heart， liver， and spleen. The most common TCM syndromes are heart-stomach heat accumulation and heart-spleen deficiency.

OBJECTIVE: To develop a noninvasive method for prediction of 1p/19q codeletion in diffuse lower-grade glioma (DLGG) based on multimodal magnetic resonance imaging (MRI) radiomics. METHODS: We collected MRI data from 104 patients with pathologically confirmed DLGG between October, 2015 and September, 2022. A total of 535 radiomics features were extracted from T₂WI, T₁WI, FLAIR, CE-T₁WI and DWI, including 70 morphological features, 90 first order features, and 375 texture features. We constructed logistic regression (LR), logistic regression least absolute shrinkage and selection operator (LRlasso), support vector machine (SVM) and Linear Discriminant Analysis (LDA) radiomics models and compared their predictive performance after 10-fold cross validation. The MRI images were reviewed by two radiologists independently for predicting the 1p/19q status. Receiver operating characteristic curves were used to evaluate classification performance of the radiomics models and the radiologists. RESULTS: The 4 radiomics models (LR, LRlasso, SVM and LDA) achieved similar area under the curve (AUC) in the validation dataset (0.833, 0.819, 0.824 and 0.819, respectively; P>0.1), and their predictive performance was all superior to that of resident physicians of radiology (AUC=0.645, P=0.011, 0.022, 0.016, 0.030, respectively) and similar to that of attending physicians of radiology (AUC=0.838, P>0.05). CONCLUSION Multiparametric MRI radiomics models show good performance for noninvasive prediction of 1p/19q codeletion status in patients with in diffuse lower-grade glioma.
Humans ; Magnetic Resonance Imaging ; Chromosome Aberrations ; Area Under Curve ; Glioma/genetics* ; ROC Curve

Mitochondria are morphologically dynamic organelles which undergo fission and fusion processes. Our previous study found that arterial constriction was always accompanied by increased mitochondrial fission in smooth muscle cells, whereas inhibition of mitochondrial fission in smooth muscle cells was associated with arterial relaxation. Here, we used the typical vasorelaxants, verapamil and phentolamine, to further confirm the coupling between arterial constriction and mitochondrial fission in rat aorta. Results showed that phentolamine but not verapamil induced vasorelaxation in phenylephrine (PE)-induced rat thoracic aorta constriction. Verapamil, but not phentolamine, induced vasorelaxation in high K(KPSS)-induced rat thoracic aorta constriction. Pre-treatment with phentolamine prevented PE- but not KPSS-induced aorta constriction and pre-treatment with verapamil prevented both PE- and KPSS-induced aorta constriction. Transmission electron microscopy (TEM) results showed that verapamil but not phentolamine inhibited KPSS-induced excessive mitochondrial fission in aortic smooth muscle cells, and verapamil prevented both PE- and KPSS-induced excessive mitochondrial fission in aortic smooth muscle cells. Verapamil inhibited KPSS-induced excessive mitochondrial fission in cultured vascular smooth muscle cells (A10). These results further demonstrate that arterial relaxation is coupled to inhibition of mitochondrial fission in arterial smooth muscle cells.