Objective: To explore the effect of a computer assisted audiovisual combined intervention model on the core symptoms of children with autism spectrum disorder (ASD), in order to provide references for enriching intervention and treatment methods for ASD children. Methods: From December 2023 to March 2024, 36 ASD children aged 4-8 years were recruited from Tianjin Disabled Persons Rehabilitation Center and Xinxinyu Children s Rehabilitation Center, and were divided into a training group (22 cases) and a control group (14 cases). The training group completed a 12 week audiovisual training course (visual sessions:twice a week, for 50-60 minutes each session; auditory sessions:three times a week, for 15 minutes each time), while the control group received only conventional treatment interventions. Before and after the intervention, the core symptoms of ASD children were assessed using the Short Sensory Profile (SSP), Social Responsiveness Scale (SRS), and Repetitive Behavior Questionnaire-2 ( RBQ- 2). Eye tracking experiments were used to test preferences for social attention. Results: Before the intervention, there were no statistically significant differences in the total scores and factor scores of the SSP and RBQ-2 scales between the two groups ( t =-1.63, 0.38, both P >0.05). The SRS total score, social communication, and restricted interests and repetitive behavior factor scores of the training group (90.68±25.83, 33.36±11.80, 15.64±7.00) were significantly higher than those of the control group (72.29±19.84, 24.93±7.85, 10.21±5.67) ( t =2.27, 2.36, 2.43, all P <0.05). Children in the training group with higher social communication factor scores before the intervention scored lower than the control group at the post intervention test (simple slope=-14.17, t =-2.48, P = 0.02), while there was no statistically significant difference in post intervention scores between children with lower social communication factor scores before the intervention and the control group (simple slope=2.31, t =0.57, P >0.05). Eye tracking experiments showed that the total fixation time on geometric images decreased significantly more in the training group [ -4.56 (-11.42, 1.21)] compared to the control group [6.55 (-0.32, 16.53)] after the intervention ( Z=2.48, P <0.05). Conclusions The computer assisted audiovisual intervention model can effectively improve the core symptoms of ASD children with poorer social communication levels. The promotion of the intervention model needs to consider individual differences in ASD.

Depression is a common mental disorder in clinical practice， and it falls under the category of depression syndrome in traditional Chinese medicine （TCM）. In TCM， Qi depression is considered as the root cause of all depression syndromes. Qi depression can lead to blood stasis， which is a key cause of diseases due to depression syndrome. Therefore， treating stasis is an important therapeutic approach for depression syndrome. Salviae Miltiorrhizae Radix et Rhizoma， a representative herbal medicine for activating blood and removing stasis， is effective in activating blood， removing stasis， dredging meridians， and alleviating pain. Currently， it is primarily used in clinical practice to treat cardiovascular and cerebrovascular diseases， such as neurasthenia， coronary heart disease， insomnia， and palpitations. The active components of Salviae Miltiorrhizae Radix et Rhizoma are complex and exhibit a variety of pharmacological effects. These components include water-soluble salvianolic acids and lipid-soluble tanshinones. Modern pharmacological studies have proven that Salviae Miltiorrhizae Radix et Rhizoma and its active components possess antioxidant， anti-inflammatory， anti-tumor， anti-fibrosis， and neuroprotective properties. In recent years， increasing attention has been paid to the pharmacological effects and mechanisms of Salviae Miltiorrhizae Radix et Rhizoma and its active components in treating depression. This paper systematically reviews the antidepressant mechanisms of Salviae Miltiorrhizae Radix et Rhizoma and its main active components from the regulation of monoamine neurotransmitters， the hypothalamic-pituitary-adrenal axis， neurotrophic factors， and neuroinflammation. In addition， this paper summarizes the clinical applications of the prescriptions containing Salviae Miltiorrhizae Radix et Rhizoma in the treatment of depression， providing new insights for further research on the pharmacological mechanisms of Salviae Miltiorrhizae Radix et Rhizoma in treating depression.

Chest imaging examination plays an important role in the diagnosis,evaluation and prognosis of interstitial lung disease(ILD).However,the widely used chest high-resolution computed tomography(CT)can only reveal the extent and morphological characteristics of pulmonary lesions,but it can not reflect the pathophysiological process(inflammation or fibrosis)of pulmonary lesions.Recent studies showed that fibroblast activation protein(FAP)can be relatively specifically expressed in fibroblasts activated in fibrotic ar-eas,and FAP inhibitor positron emission tomography(FAPI-PET)may reflect the degree of pulmonary fibrosis and the activity of fibroblasts,which has been used to evaluate the degree of fibrosis in various ILD.In this pa-per,the role and expression of FAP in pulmonary fibrosis and inflammatory tissue of ILD are reviewed,and the recent application of FAPI-PET in various ILD is summarized,which provides insight for the development of new imaging methods for the diagnosis and assessment of ILD.

Objectives:To investigate the effect of non-optimal temperature exposure during pregnancy on the risk for preterm birth and identify the susceptible exposure window. At the same time, the interaction between non-optimal temperature and pollutants exposure during pregnancy on preterm birth was analyzed, in order to provide strong clues for the influence of non-optimal temperature exposure during pregnancy on the risk for preterm birth.Methods:A total of 1 852 pregnant women were recruited from September 2021 to June 2023 in Fujian Provincial Maternal and Child Health Care Center. Questionnaire survey was conducted, and their health records were analyzed. The permanent address of each pregnant woman was matched with Fifth Generation European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis of the Global Climate and a geo-statistical combination model based on satellite remote sensing data collection, then follow-up for pregnancy outcome was conducted. Distributed lag nonlinear model was used to assess the association between exposure to non-optimal temperature during pregnancy and the risk for preterm birth and a multiplicative interaction model was used to assess the interaction between exposure to pollutants and non-optimal temperatures during pregnancy on the risk for preterm birth.Results:After adjusting for potential confounders such as maternal age, occupation, Gross Domestic Product of the region, pre-pregnancy preconception BMI, newborn sex, the weekly susceptibility windows of extreme low temperature ( P1, P3, P5) were week 1-22 , and the weekly susceptibility windows of extreme high temperature ( P95, P97, P99) were week 27 and week 32-36. Extreme low temperature [ P1 ( OR=1.147, 95% CI: 1.041-1.265), P5 ( OR=1.284, 95% CI: 1.035-1.501)] and extreme high temperature [ P97 ( OR=1.146, 95% CI: 1.039-1.263), P99 ( OR=1.216, 95% CI: 1.099-1.345)] exhibited multiplicative interaction with PM 2.5. Conclusions:Exposure to non-optimal temperature during pregnancy was associated with an increased risk for preterm birth. The susceptible exposure windows of extreme low temperature were mainly in early and mid-pregnancy, and the susceptible exposure windows of extreme high temperature were mainly in late-pregnancy. Exposure to non-optimal temperatures and pollutants during pregnancy was associated with an increased risk for preterm birth.

With the rapid global population aging, multimorbidity is becoming a more serious public health problem, to which medical researchers have paid close attention. A standardized definition of multimorbidity is essential for relevant research. However, there is a lack of consensus on the definition of multimorbidity, which makes it difficult to compare results among studies and replicate important findings. Based on the conceptual comparison, this paper summarizes the key dimensions of the definition of multimorbidity, including the number and types of conditions, the granularity of classification, methods for obtaining outcomes, and settings and objectives of research. It also discusses the inherent relationships among the dimensions and their impact on research results, and introduces the characteristics of the commonly used condition lists in current multimorbidity definition research. By suggesting areas for improvement in the multimorbidity definition system, it aims to enhance the understanding of multimorbidity research and achieve consensus on the definition, thereby facilitating further multimorbidity research.

Objective:To design a set of simulation system for surgical operation based on virtual reality(VR)technique and intelligent scoring functions,so as to assess its clinical application effect.Methods:The Digital Imaging and Communications in Medicine(DICOM)images of typical patients were collected.Materialise Interactive Medical Image Control System(MIMICS)software was adopted to reconstruct the three-dimensional(3D)model of diseased organs.Surgical instrument models were constructed by using 3D Max software.Unity 3D software was adopted to construct simulation system for surgical operation with VR+intelligent scoring.A total of 40 surgical resident physicians,who were employed with 3 years since 2019 in The Second Affiliated Hospital of Kunming Medical University,were selected.They were divided into observation group and control group,with 20 cases in each group.The observation group used simulation system for surgical operation to conduct intelligent scoring for cholecystectomy under laparoscope,and the control group used conventional scoring for surgical operation.The scores of surgical operation and test between the two groups were compared.Results:The mean value of surgical operation time of the observation group was(1.72±0.41)h,and the average incidence of complication was(0.03±0.02)%,both of them of the observation group were significantly lower than those of the control group[(2.25±0.42)h and(0.05±0.03)%].The differences of them between two groups were statistically significant(t=9.00,4.08,P<0.05).The test scores of surgical operation of the observation group was also significantly higher than that of the control group(t=5.26,P<0.001).Conclusion:The developed simulation system for surgical operation with VR+intelligent scoring can significantly enhance users'surgical operation skills and improve learning outcomes,which has favorable prospects in future applications.

Objective:To compare the diagnostic efficacy of 18F-fibroblast activation protein inhibitor (FAPI)-42 PET/CT and 18F-FDG PET/CT for bone metastasis in patients with malignant tumors. Methods:From January 2022 to October 2023, the data of 238 patients (160 males, 78 females; age: 58(50, 66) years) with various malignant tumors who underwent both 18F-FAPI-42 and 18F-FDG PET/CT imaging at Nanfang Hospital, Southern Medical University were retrospectively reviewed. An abnormal focal radioactive uptake in bones on the PET images was considered as positive lesion for bone metastasis. The efficacy of 2imaging methods and the supplementary role of CT in the diagnosis of bone metastasis were evaluated by McNemar test. Results:Of 238 patients, 95 were with bone metastases and 143 were without bone metastases, including 436 lesions with bone metastases and 358 lesions without bone metastases. Based on the visual analysis, 18F-FAPI-42 PET showed a higher diagnostic sensitivity than 18F-FDG PET (98.4%(429/436) vs 86.5%(377/436); χ2=41.95, P<0.001), while 18F-FDG PET had a higher diagnostic specificity than 18F-FAPI-42 PET (83.2%(298/358) vs 70.4%(252/358); χ2=22.50, P<0.001), and the accuracies of both methods were similar (85.8%(681/794) vs 85.0%(675/794); χ2=0.16, P=0.685). However, when the positive lesions seen in PET were analyzed combined with the image features on CT by the same scanner, the diagnostic specificity of 18F-FAPI-42 PET/CT was significantly improved compared to that of 18F-FAPI-42 PET alone (91.3%(327/358) vs 70.4%(252/358); χ2=73.01, P<0.001), and was similar to 18F-FDG PET/CT (93.0%(333/358); χ2=0.78, P=0.377). Meanwhile, this combined analysis brought a higher sensitivity and accuracy of 18F-FAPI-42 PET/CT than 18F-FDG PET/CT in diagnosing bone metastases (sensitivity: 98.4%(429/436) vs 86.5%(377/436); χ2=41.95, P<0.001; accuracy: 95.2%(756/794) vs 89.4%(710/794); χ2=21.54, P<0.001). Conclusions:The diagnostic sensitivity of 18F-FAPI-42 PET for bone metastasis is superior to 18F-FDG PET, but the specificity is lower. However, when CT features is combined for analysis, the diagnostic specificity of 18F-FAPI-42 PET/CT is significantly improved, which thus can be used to diagnose bone metastasis accurately and is superior to 18F-FDG PET/CT.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Objective To investigate the effects of Aurora kinase A(AURKA)on the tumor microenvironment of colorectal cancer(CRC)and to predict the active compounds in Chinese herbs that can target AURKA.Methods Based on the transcriptomic data and clinical information from 380 CRC tissues and 51 paracancerous tissues in The Cancer Genome Atlas(TCGA)database,the infiltration of different cells in the tumor tissues was analyzed using xCell and the binding of active compounds of Chinese herbs with AURKA was predicted through molecular docking.Results The expression of AURKA was significantly upregulated in CRC tissues compared with that in paracancerous tissues(P＜0.05),and CRC patients with high AURKA expression had shorter overall survival.Compared with the AURKA low-expression group,the abundance of macrophages,monocytes,and effector memory CD4+and CD8+T cells was significantly downregulated in the AURKA high-expression group(P＜0.05).In addition,the cytotoxicity of T cells was significantly reduced(P＜0.05).Further analysis revealed that AURKA expression was positively correlated with the abundance of myeloid-derived suppressor cells(MDSCs)and the expression levels of their chemokines CXCL2 and CXCL5(P＜0.05).Genes that were differentially expressed between the AURKA high-and low-expression groups were mainly enriched in monocyte migration,chemokine-induced cellular responses,and other related processes.Chinese herbal compounds,including hesperidin,aristololactam A Ⅱ a,anacardic acid,coumestrol,and 17β-estradiol,all showed binding energies to AURKA lower than-1.2 kcal/mol,indicating a certain level of binding stability.Among these Chinese herbal compounds,17β-estradiol exhibited the best binding stability to AURKA-3UOL.Conclusion The high expression of AURKA in CRC tissues suggests a poor clinical prognosis.AURKA can promote the development of a suppressive immune microenvironment in CRC,and 17β-estradiol,an active compound from Chinese herbs,is a potential therapeutic agent targeting AURKA.

BACKGROUND: Double-stranded RNA-specific adenosine deaminase 1 (ADAR1) binds to double-stranded RNA and catalyzes the deamination of adenosine (A) to inosine (I). The functional mechanism of ADAR1 in non-small cell lung cancer (NSCLC) remains incompletely understood. This study aimed to investigate the prognostic significance of ADAR1 in NSCLC and to elucidate its potential role in regulating tumor cell proliferation and migration. METHODS: Data from The Cancer Genome Atlas (TCGA) and cBioPortal were analyzed to assess the correlation between high ADAR1 expression and clinicopathological features as well as prognosis in lung cancer. We performed Western blot (WB), cell proliferation assays, Transwell invasion/migration assays, and nude mouse xenograft modeling to examine the phenotypic changes and molecular mechanisms induced by ADAR1 knockdown. Furthermore, the ADAR1 p150 overexpression model was utilized to validate the proposed mechanism. RESULTS: ADAR1 expression was significantly elevated in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues compared with adjacent non-tumor tissues (LUAD: P=3.70×10-15, LUSC: P=0.016). High ADAR1 expression was associated with poor prognosis (LUAD: P=2.03×10-2, LUSC: P=2.81×10-2) and distant metastasis (P=0.003). Gene Set Enrichment Analysis (GSEA) indicated that elevated ADAR1 was associated with mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) pathway activation, matrix metalloproteinase-9 (MMP-9) expression, and cell adhesion. ADAR1 and MMP-9 levels showed a strongly positive correlation (P=6.45×10-34) in 10 lung cancer cell lines, highest in H1581. Knockdown of ADAR1 in H1581 cells induced a rounded cellular morphology with reduced pseudopodia. Concomitantly, it suppressed cell proliferation, invasion, migration, and in vivo tumorigenesis. It also suppressed ERK phosphorylation and downregulated cellular Finkel-Biskis-Jinkins murine osteosarcoma viral oncogene homolog (c-FOS), MMP-9, N-cadherin, and Vimentin. Conversely, ADAR1 p150 overexpression in PC9 cells enhanced ERK phosphorylation and increased c-FOS and MMP-9 expression. CONCLUSIONS High ADAR1 expression is closely associated with poor prognosis and distant metastasis in NSCLC patients. Mechanistically, ADAR1 may promote proliferation, invasion, migration, and tumorigenesis in lung cancer cells via the ERK/c-FOS/MMP-9 axis.
Humans ; Lung Neoplasms/physiopathology* ; Adenosine Deaminase/genetics* ; Matrix Metalloproteinase 9/genetics* ; Cell Proliferation ; Carcinoma, Non-Small-Cell Lung/physiopathology* ; Cell Movement ; Animals ; Mice ; RNA-Binding Proteins/genetics* ; Female ; Male ; Cell Line, Tumor ; Proto-Oncogene Proteins c-fos/genetics* ; Middle Aged ; MAP Kinase Signaling System ; Gene Expression Regulation, Neoplastic ; Mice, Nude ; Extracellular Signal-Regulated MAP Kinases/genetics*