BackgroundNon-suicidal self-injury （NSSI） behavior among adolescents has become a global public health concern. Anxiety and depression are considered key factors influencing NSSI behavior， while social support may play a protective role in alleviating emotional and behavioral issues. However， existing research has primarily focused on the direct impact of individual factors on NSSI behavior， with insufficient exploration of the combined effects of anxiety， depression and social support. ObjectiveTo investigate the direct effect of anxiety on NSSI， the mediating role of depression and the moderating role of social support in relationship between anxiety and NSSI behavior， thus to provide references for the prevention and intervention of NSSI behavior among adolescents. MethodsIn February 2022， a total of 40 820 students in grades 7 to 12 across 10 middle schools in a district of Chengdu were selected as participants， and they were assessed using Generalized Anxiety Disorder Scale-7 item （GAD-7）， Patient's Health Questionnaire Depression Scale-9 item （PHQ-9）， Social Support Scale for Urban Students （SSSUS） and Adolescent Self-Harm Scale （ASHS）. Pearson correlation analysis was conducted to examine the correlations between scale scores among adolescents with NSSI behaviors. Mediation and moderation analyses were performed using Process 3.5 in SPSS， and the significance was tested with bootstrapping. The interaction was visualized by using simple slope analysis. ResultsAmong 34 534 （84.60%） valid respondents， 542 adolescents （1.57%） reported engaging in NSSI behavior. Significant differences in gender， GAD-7 scores， PHQ-9 scores， and SSSUS scores were observed between NSSI behavior group and non-NSSI group （χ²/t=62.889， 71.120， 94.365， -41.464， P<0.01）.Adolesents with NSSI showed positive correlations between GAD-7 scores and both ASHS and PHQ-9 scores （r=0.158， 0.166， P<0.01）. PHQ-9 scores were positively correlated with ASHS scores （r=0.364， P<0.01）， but negatively correlated with SSSUS scores （r=-0.290， P<0.01）. SSSUS scores were negatively correlated with ASHS scores （r=-0.247， P<0.01）. Depression partially mediated the relationship between anxiety and NSSI behavior， with an effect size of 0.544 （95% CI： 0.162~0.944）， accounting for 35.79% of the total effect. Social support moderated the relationship between depression and NSSI bahavior， with an effect value of -0.082 （95% CI： -0.135~-0.029）. ConclusionAnxiety not only directly influences NSSI bahavior among adolescents， also indirectly exacerbates it through depression， while social support mitigates the impact of depression on NSSI behavior. ［Funded by Youth Project of National Natural Science Foundation of China （number， 82401812）； Project of Health Commission of Sichuan Province （number， 24LCYJPT18）］

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

BackgroundThe distressingly high prevalence of depressive symptoms among adolescents exerts profound impacts on their physical and psychological development， urgently necessitating effective preventive interventions. Existing studies， however， have predominantly focused on isolated risk factors， neglecting to construct an integrated model that systematically disentangles the intricate relationships linking parenting styles， learning burnout， and childhood trauma to adolescent depressive symptoms. Moreover， the potential protective roles of social support and psychological resilience in this context remain insufficiently elucidated. ObjectiveTo construct a structural equation model encompassing multiple pathways to unravel the comprehensive mechanisms through which negative parenting styles， childhood trauma， learning burnout， psychological resilience， and social support collectively influence adolescent depressive symptoms， thereby providing evidence-based intervention strategies. MethodsA stratified sampling technique was utilized to recruit 5 865 students from 12 middle schools in Chengdu City， Sichuan Province from March to May 2022. Participants were assessed using the following validated instruments： the Short-form Egna Minnen av Barndoms Uppfostran （s-EMBU）， the Childhood Trauma Questionnaire-Short Form （CTQ-SF）， the Adolescent Student Burnout Inventory， the Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， the Social Support Rating Scale （SSRS），and the Connor-Davidson Resilience Scale （CD-RISC）. A partial least squares structural equation modeling （PLS-SEM） approach was employed to construct a predictive framework examining the complex network of pathways through which negative parenting styles， childhood trauma， learning burnout， psychological resilience，and social support collectively influence depressive symptoms in adolescents. ResultsThe PHQ-9 scores demonstrated significant positive correlations with the scores on s-EMBU overprotection subscale （r=0.272， P<0.01）， s-EMBU rejection subscale （r=0.368， P<0.01）， CTQ-SF （r=0.288， P<0.01） and Adolescent Student Burnout Inventory （r=0.587， P<0.01）. Conversely， significant negative correlations were observed between PHQ-9 scores and both SSRS （r=-0.532， P<0.01） and CD-RISC scores （r=-0.418， P<0.01）. Negative parenting styles （β=0.113， 95% CI： 0.087-0.138） and learning burnout （β=0.339， 95% CI： 0.315-0.364） emerged as significant positive predictors of depressive symptoms， with childhood trauma mediating the relationship between negative parenting styles and depressive symptoms （effect size=0.018， 95% CI： 0.013-0.024）. Social support servesed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.080， 95% CI： 0.069-0.092）， as well as between negative parenting styles and childhood trauma （β=0.041， 95% CI： 0.032-0.050）. It also functioned as an intermediary pathway linking learning burnout to depressive symptoms （β=0.092， 95% CI： 0.081-0.104） and connecting learning burnout with childhood trauma （β=0.048， 95% CI： 0.037-0.058）. Additionally， psychological resilience serveed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.004， 95% CI： 0.002-0.007）， between learning burnout and depressive symptoms （β=0.037， 95% CI： 0.023-0.052）， and between childhood trauma and depressive symptoms （β=0.003， 95% CI： 0.001-0.006）. ConclusionLearning burnout exerts a direct effect on adolescent depressive symptoms. Negative parenting styles influence depressive symptoms both directly and indirectly through childhood trauma. Furthermore， social support and psychological resilience serve as mediator linking negative parenting styles and learning burnout to depressive symptoms in adolescents. ［Funded by Science and Technology Project of the Health Commission of Sichuan Province （number， 24LCYJPT18）］

Purpose To investigate the clinical value of multi-center digital mammography radiomics nomogram model in predicting triple-negative breast cancer(TNBC).Materials and Methods The digital mammograms of 462 patients with pathologically confirmed breast cancer from November 2016 to March 2022 were retrospectively analyzed,including 243 cases from Yijishan Hospital of Wannan Medical College(institution 1),106 cases from Fuyang People's Hospital(institution 2)and 113 cases from Taihe People's Hospital(institution 3).According to the results of immunohistochemistry,a total of 349 breast cancer patients in institution 1 and institution 2 were randomly divided into the training group(244 cases,including 41 TNBC and 203 non-TNBC)and the validation group(105 cases,including 18 TNBC and 87 non-TNBC)according to the ratio of 7∶3,113 breast cancer patients(24 TNBC and 89 non-TNBC)from institution 3 were included in the external validation group.Comparing the mediolateral oblique and cranial cauda digital mammography images,the mammography imaging with larger lesion areas were selected,and the image segmentation and radiomics feature extraction were performed.The radiomics model was constructed by using Logistic regression.The clinicopathological parameters and radiomics scores were used to construct a nomogram.Receiver operating characteristic and decision curve analysis were used to evaluate the model performance.To compare The predictive performance between the models was compared.Results Finally,four radiomics features closely related to TNBC were selected to construct an radiomics model.The area under the curve,sensitivity and specificity of TNBC predicted by the radiomics model in training group,validation group and external test group were 0.868,90.24%and 72.91%,0.827,72.22%and 75.86%,0.837,70.83%and 78.65%,respectively.The area under the curve,sensitivity and specificity of TNBC predicted by the combined model in the training group,validation group and external test group were 0.903,80.49%and 86.70%,0.890,77.78%and 88.51%,0.870,62.50%and 85.39%,respectively.The combined model was better than the single image omics model in predicting TNBC,and the difference was statistically significant between the training group and the verification group(Z=2.061,2.064,both P<0.05),but not between the external test group(Z=1.223,P=0.221).In three group,decision curve analysis showed that the nomogram predicted a higher net benefit than the radiomics model for triple-negative breast cancer.Conclusion The radiomics model has high diagnostic efficiency in predicting TNBC,and the nomogram model combined with the radiomics score and histological grading can further improve the prediction efficiency.

Objective:To explore the optimal acceleration factor and feasibility of the compressed SENSE (CS) technique in non-contrast MR coronary angiography (NMRCA) for clinical practice.Methods:The image data of completed coronary CTA and 3.0 T NMRCA sequence in 31 patients with suspected coronary heart disease were prospectively recruited at Fuyang People′s Hospital from August 2021 to November 2021. NMRCA sequences included conventional SENSE2 sequence and CS sequences with acceleration factors of 4, 5, and 6, respectively. The subjective scores of image quality and the objective scores, the contrast ratios between assessed coronaries and myocardium (CMCR) were compared among the 4 groups using the Friedman and Wilcoxon rank sum test.Results:Compared with the conventional SENSE2 [(343±46)s], the scan time of CS4 (269±36), CS5 (214±29) and CS6 (178±26) s were shortened by 21.5%, 37.5% and 48.0%, respectively. There was a good consistency between the subjective scores of the four groups (Kappa=0.769, 95% Cl 0.738-0.800). There was no significant difference in subjective score and CMCR value between CS4 and SENSE2 ( P>0.05). The coronary artery segments of CS5 and CS6 were significantly different from SENSE2 group ( P<0.05). Conclusions:For 3.0 T NMRCA, CS technology shows high feasibility. The CS4 can reduce imaging time while ensuring high-quality coronary arterial images, which has a well-established clinical application value for NMRCA.

OBJECTIVE: To establish a deep-learning architecture based on faster region-based convolutional neural networks (Faster R-CNN) algorithm for detection and sorting of red ginseng (Ginseng Radix et Rhizoma Rubra) with internal defects automatically on an online X-ray machine vision system. METHODS: A Faster R-CNN based classifier was trained with around 20 000 samples with mean average precision value (mAP) of 0.95. A traditional image processing method based on feedforward neural network (FNN) obtained a bad performance with the accuracy, recall and specificity of 69.0%, 68.0%, and 70.0%, respectively. Therefore, the Faster R-CNN model was saved to evaluate the model performance on the defective red ginseng online sorting system. RESULTS: An independent set of 2 000 red ginsengs were used to validate the performance of the Faster R-CNN based online sorting system in three parallel tests, achieving accuracy of 95.8%, 95.2% and 96.2%, respectively. CONCLUSION The overall results indicated that the proposed Faster R-CNN based classification model has great potential for non-destructive detection of red ginseng with internal defects.

The clinical data of a case of paroxysmal extreme pain disorder(PEPD) in Guangdong 999 Brain Hospital were retrospectively analyzed.The male patient, age of first examination was 7 months, began to have recurrent tonic accompanied by facial redness or cyanosis at 5 months after birth.The patient was diagnosed with epilepsy.The oral solution of sodium valproate and Levetiracetam were not effective.The video electroencephalogram examination displayed that, when the patient had tonic and bradycardia, the synchro electroencephalogram did not show epileptic discharge, so the patient was considered to have non-epileptic tonic.Genetic examination suggested that SCN9A gene mutation of c. 5240T >C resulted in amino acid changes: Val1747Ala.Combined with the skin changes, the patient was diagnosed as PEPD caused by SCN9A gene mutation.After the treatment with Carbamazepine, the patient′s abnormal skin changed and his-epileptic tonic disappeared, and his condition improved significantly.The early stage of PEPD can be mainly manifested as non-epileptic tonic.It is easy to be misdiagnosed as epilepsy, so the patient′s characteristic skin changes should be noticed, and genetic examination is also helpful in the diagnosis of the disease.

Objective:To investigate the clinical features of encephalocraniocutaneous lipomatosis (ECCL).Methods:The clinical characteristics, imaging manifestations and electroencephalogram changes of five patients with ECCL from Guangdong 999 Brain Hospital between December 2016 and February 2019 were collected and analyzed.Results:All five cases showed ocular, skin and central nervous system anomalies. Corneal anomalies were found in five cases, eyelid coloboma in three cases, calcification of the globe in two cases, and choristoma in one case. All five cases presented with naevus psiloliparis, three cases with small nodular skin tags on eyelids, and three cases with café-au-lait spots on the trunk. Dysplasia of the right cerebral hemisphere was observed in all five cases, four cases with enlargement of the right ventricle, three cases with arachnoid cysts, and one case with dysplasia of the corpus callosum. The onset of the seizures of five cases was found within one year old. Spasms were observed in five cases, partial seizure in three cases, and tonic seizure in one case. Five cases were drug-resistant epilepsy. Seizures decreased significantly after adrenocorticotropic hormone treatment in one case and seizures free after surgery in one case. One case had seizure free by corpus callosotomy, but had a relapse after four months. Three cases used ketogenic diet, including one case with epileptic seizure reduction, one case with development progress. All five cases had developmental delays. The exon gene sequencing of four cases was found normal. KRAS gene mutation was found in brain tissue of one patient.Conclusions:ECCL is a rare clinical disease that often involves the nervous system, skin and eyes. The seizures of the patients are often difficult to control and have development delays. Surgery may be necessary to control the seizures. ECCL is thought to be somatic mutations, which are hard to detect in the blood and can be found in affected tissues.

Objective　To explore the relationship between gene mutation types and clinical phenotypes in patients with tuberous sclerosis complex accompanied by epilepsy. Methods　TSC gene was detected in patients with tuberous sclerosis accompanied by epilepsy diagnosed in Guangdong Sanjiu brain hospital from October 2013 to October 2019.The patients with gene positive were genotyped and the clinical data of the patients with gene positive were collected to explore the relationship between different gene mutation types and clinical phenotypes. Results　85 patients were TSC gene positive，of which 34 （40.0%） were TSC1 gene mutation in which 4 （11.8%） were splice mutation，10 （29.4%） were frameshift mutation，4 （11.8%） were nonsense mutation and 16 （47.0%） were missense mutation. 51 （60.0%） were TSC2 gene mutation，in which 3 were splice mutation （5.9%），19 were frameshift mutation （37.3%），1 was nonsense mutation （1.9%），25 were missense mutation （49.0%） as well as 3 were large fragment deletion （5.9%）. The mutation rate of frameshift mutation and missense mutation was higher. The age of onset was divided into ≤ 1 year old，～3 years old，～6 years old，～18 years old and >18 years old. It was found that there were significant differences in TSC1 and TSC2 genes among different age of onset （P<0.05）. At the same time，the incidence of renal disease and mental retardation was statistically significant in TSC1 and TSC2 genes （P<0.05 respectively）. In addition，according to the type of gene mutation，the patients were divided into three groups：frameshift mutation group，missense mutation group and other mutations （including splice mutation，nonsense mutation and large fragment deletion） group. It was found that the incidence of heart disease was significantly different in different gene mutation types （P<0.05 respectively）. Conclusion　There were many different types of TSC1 and TSC2 gene mutation types and clinical phenotypes. The onset age of TSC2 mutation is younger and more prone to have kidney disease and mental retardation. Missense mutations are more likely to develop heart disease. The study of genotype-phenotype relationship can make a preliminary assessment of disease development and prognosis in TSC patients.

Objective To evaluate the additional value of CACS in detection of coronary artery disease (CAD) with MPI.Methods A total of 188 suspected CAD patients (128 males,60 females;average age (61.93±9.16) years) who underwent one-step examination of MPI combined with CACS from December 2012 to August 2014 were enrolled in this retrospective study.According to the gold standard of CAG,the diagnostic efficacy of MPI was calculated.ROC analysis was performed to determine the optimal CACS threshold for the detection of CAD.Mann-Whitney u test and x2 test were used for statistical analysis.Results (1) Seventy-three CAD cases were confirmed (≥ 50％ stenosis) among 188 patients.The sensitivity,specificity,accuracy for CAD diagnosis with MPI were 65.8％ (48/73),75.7％ (87/115),71.8％ (135/188),respectively.Twenty-five CAD patients had negative findings with MPI,including 2 with LM disease,4 with three-vessel disease (LAD±LCX±RCA,3-VD),3 with 2-VD,16 cases with 1-VD.Among them 13 cases (52.0％,13/25) had intermediate lesions of 1-VD (50％ ≤ stenosis＜70％).(2) The CACS of CAD group was significantly higher than that of non-CAD group (172.40(19.25,516.45) vs 0;z=-8.465,P＜0.001).According to the ROC analysis,95.1 was the optimal CACS cutoff to detect CAD patients.Combining MPI with CACS (at cutoff of 95.1) improved the sensitivity of MPI (80.8％,59/73;x2 =4.233,P＜0.05) for the detection of CAD,with no significant decrease in specificity and accuracy (71.3％,82/115;75.0％,141/188;x2 values:0.558 and 0.490,both P＞0.05).(3) Of the 25 CAD patients with negative MPI results,11(44.0％,11/25) showed abnormal CACS(CACS≥95.1),consisted of 2 cases of LM disease,4 cases of 3-VD,2 cases of 2-VD,3 cases of 1-VD.Diagnosis was corrected by CACS in 8/9 cases of severe CAD (LM CAD or multivessel disease) which were missed by MPI.Conclusion CACS could offer additional information for MPI in detection of suspected CAD patients,which can improve the sensitivity of MPI for diagnosing CAD,especially for severe CAD with LM lesions or multivessel CAD.