Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

The paper introduces Professor LIU Xing's clinical experience and characteristics of integrative acupuncture and medication in treatment of primary trigeminal neuralgia (PTN). It is believed that the essential pathogenesis of PTN is pathogenic wind, and qi and blood obstruction results from invasion of pathogenic wind. Hence, dispelling wind is the key principle of treatment. Palpation is done at first in the neck, face and buccal mucosal region to detect the masses in treatment. Acupotomy is operated at the masses distributed at Shangguan (GB3), Xiaguan (ST7) and the white line of buccal mucosa, so as to release masses. Additionally, five-wind points (Fengfu [GV16], bilateral Fengchi [GB20], Yifeng [TE17], Bingfeng [SI12] and Fengmen [BL12]), three-nape points (bilateral Naokong [GB19], Tianzhu [BL10] and Jianjing [GB21]) and three-governor-vessel points (Baihui [GV20], Zhiyang [GV9] and Yintang [GV24⁺]) are selected to dispel wind and stop pain. Besides, herbal decoction (wu feng tang) and blood-letting at ear apex are administered in combination. The integration of acupuncture and medication obtains a holistic effect on PTN by dispelling wind pathogen, and promoting qi and blood circulation.
Humans ; Trigeminal Neuralgia/drug therapy* ; Acupuncture Therapy ; Acupuncture Points ; Female ; Male ; Middle Aged ; Drugs, Chinese Herbal/administration & dosage* ; Combined Modality Therapy ; Adult ; Aged

The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

Metastatic dissemination is the major cause of death from breast-cancer (BC). Fusobacterium nucleatum (F.n) is widely enriched in BC and has recently been identified as one of the high-risk factors for promoting BC metastasis. Here, with an experimental model, we demonstrated that intratumoral F.n induced BC aggressiveness by transcriptionally activating Epithelial-mesenchymal transition-associated genes. Therefore, the F.n may be a potential target to prevent metastasis. Given the fact that cancer-associated fibroblasts (CAFs) are abundant in BC and located near blood vessels, we report an optogenetic system that drives CAF to in situ produce human antibacterial peptide LL37, with the characteristics of biosafety and freely intercellular trafficking, for depleting intratumoral F.n, leading to a 72.1% reduction in lung metastatic nodules number without affecting the balance of the systemic flora. Notably, mild photothermal treatment was found that could normalize CAF, contributing to synergistically inhibiting BC metastasis. In addition, the system can also simultaneously encode a gene of TNF-related apoptosis-inducing ligand to suppress the primary tumor. Together, our study highlights the potential of local elimination of tumor pathogenic bacteria to prevent BC metastasis.

OBJECTIVES: To explore the therapeutic mechanism of compound Centella asiatica formula (CCA) for alleviating Schistosoma japonicum (Sj)-induced liver fibrosis in mice. METHODS: The active components and targets of CCA were identified using the TCMSP database with cross-analysis of Sj-related liver fibrosis targets. A "drug-component-target-pathway-disease" network was constructed using Cytoscape 3.9.1. Functional enrichment analysis (GO/KEGG) was performed using DAVID. Molecular docking study was carried out to validate interactions between the core targets and the key compounds. For experimental validation of the results, 36 mice were divided into control group, Sj-infected model group, and CCA-treated groups. In the latter two groups, liver fibrosis was induced via abdominal infection with Sj cercariae for 8 weeks, followed by 8 weeks of daily treatment with CCA decoction or saline. Hepatic pathology of the mice was assessedwith HE and Masson staining, and hepatic expressions of collagen-I and collagen-III were detected using immunohistochemistry; serum IL-6 and TNF-α levels were determined with ELISA. Hepatic expressions of TLR4 and MyD88 proteins were analyzed with Western blotting. RESULTS: We identified a total of 107 bioactive CCA components and 791 targets, including 37 intersection targets linked to Sj-induced fibrosis. The core targets included TNF, TP53, JUN, MMP9, and CXCL8, involving the IL-17 signaling, lipid metabolism, TLR4/MyD88 axis, and cancer pathways. Molecular docking study confirmed strong binding affinity between quercetin (a primary CCA component) and TNF/TP53/JUN/MMP9. In Sj-infected mouse models, CCA treatment significantly attenuated hepatic inflammatory cell infiltration, reduced collagen-I and collagen-III deposition, improved tissue architecture, reduced serum IL-6 and TNF-α levels, and downregulated TLR4 and MyD88 expressions in the liver. CONCLUSIONS CCA mitigates Sj-induced liver fibrosis by targeting TNF, TP53, JUN, and MMP9 to modulate the TLR4/MyD88 pathway, thereby suppressing pro-inflammatory cytokine release, inhibiting hepatic stellate cell activation, reducing collagen deposition, and preventing granuloma formation in the liver.
Animals ; Toll-Like Receptor 4/metabolism* ; Mice ; Myeloid Differentiation Factor 88/metabolism* ; Schistosoma japonicum ; Liver Cirrhosis/parasitology* ; Schistosomiasis japonica ; Signal Transduction ; Molecular Docking Simulation ; Inflammation ; Centella/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Tumor Necrosis Factor-alpha/metabolism*

In recent years, the application of minimal residual disease (MRD) in solid tumors has gained widespread attention. MRD typically refers to the presence of residual cancer cells that remain undetectable by imaging after curative treatments, such as surgical resection. The presence of MRD post-surgery is significantly associated with an increased risk of tumor recurrence. In colorectal cancer, circulating tumor DNA (ctDNA) serves as an effective marker for assessing MRD, particularly in non-metastatic (stages I-III) colorectal cancer. As a real-time, accurate, and convenient biomarker, ctDNA can effectively predict tumor recurrence, guide postoperative adjuvant chemotherapy decisions, and provide crucial information for recurrence monitoring. The application prospects of ctDNA detection technology are vast, promising more precise and individualized treatment plans for colorectal cancer patients. This article comprehensively analyzes the progress in the application of ctDNA for detecting MRD in non-metastatic colorectal cancer patients, elaborates on its guiding role in clinical treatment decisions, and envisions the future development directions in this field.

Objective: To investigate the function and potential mechanism of hepatocellular carcinoma(HCC) cells-derived extracellular nicotinamide phosphoribosyl transferase(eNAMPT) in the angiogenesis of human umbilical vein endothelial cells(HUVEC). Methods: The eNAMPT secretion of HCC cells were stimulated by hypoxia treatment and investigated the angiogenesis of HUVEC was investigated by tube formation assays. Transcriptomic RNA sequencing(RNA-seq) analyses of HUVEC under eNAMPT treatment were used to explore the mechanism of the effect of eNAMPT-insulin receptor(INSR) axis on angiogenesis. Western blot was used to detect the effects of eNAMPT-INSR axis on protein expression of HUVEC cells. qRT-PCR was used to detect the influence of eNAMPT-INSR axis on the expression of HUVEC intracellular related target genes. Results: ELISA and Western blot results showed that the protein level of eNAMPT in the culture supernatant of HCC cells increased significantly after hypoxia stimulation.In vitroangiogenesis assay results showed that eNAMPT significantly increased the nodules number and total length of tubes in HUVEC. The transcriptome sequencing results of HUVEC showed that eNAMPT, as an insulin analogue, participated in the regulation of biological processes such as cell migration and angiogenesis in HUVEC, and might promote angiogenesis by activating insulin-like signaling pathways. Western blot results showed that the eNAMPT-INSR axis affected p-AKT and p-ERK1/2 protein levels in PI3K-AKT and MAPK-ERK1/2 signaling pathways in HUVEC. qRT-PCR results showed that the eNAMPT-INSR axis affected the expression of angiogenesis related target genes MMP2, MMP9 and VEGF in HUVEC. Conclusion eNAMPT secreted by HCC cells promotes angiogenesis by binding INSR to activate the PI3K-AKT and MAPK-ERK1/2 signaling pathways.

In recent years, the application of minimal residual disease (MRD) in solid tumors has gained widespread attention. MRD typically refers to the presence of residual cancer cells that remain undetectable by imaging after curative treatments, such as surgical resection. The presence of MRD post-surgery is significantly associated with an increased risk of tumor recurrence. In colorectal cancer, circulating tumor DNA (ctDNA) serves as an effective marker for assessing MRD, particularly in non-metastatic (stages I-III) colorectal cancer. As a real-time, accurate, and convenient biomarker, ctDNA can effectively predict tumor recurrence, guide postoperative adjuvant chemotherapy decisions, and provide crucial information for recurrence monitoring. The application prospects of ctDNA detection technology are vast, promising more precise and individualized treatment plans for colorectal cancer patients. This article comprehensively analyzes the progress in the application of ctDNA for detecting MRD in non-metastatic colorectal cancer patients, elaborates on its guiding role in clinical treatment decisions, and envisions the future development directions in this field.

Objective: To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine (TCM) pulse conditions through voice signals. Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning. Audio features were extracted from voice recordings in the TCM pulse condition dataset. The obtained features were combined with information from tongue and facial diagnoses. A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation, and the modeling methods were validated using publicly available datasets. Results: The analysis showed that the proposed method achieved an accuracy of 92.59% on the public dataset. The accuracies of the three single-label pulse manifestation models in the test set were 94.27%, 96.35%, and 95.39%. The absolute accuracy of the multi-label model was 92.74%. Conclusion Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.

Objective Developing a new type of full-face respiratory protective mask for nuclear facility sites to enhance the sound transmission function and improve the facial adaptability. Methods Combined with feedback from on-site practical needs, this study utilized finite element simulation and ergonomic design methods to investigate the voice transmission units of full-face masks and the facial features of workers at key nuclear facilities. Based on the research results, a new full-face respiratory protection mask structure was designed. Results The optimized structure of passive thin film voice transmission unit significantly enhanced voice transmission efficiency, reducing average voice transmission loss by approximately 70% compared to the control group using thin plate units of equivalent thickness. The existing facial feature test panels insufficiently cover and unevenly classify the facial features of workers at key nuclear facilities. In this study, a specialized test panel based on measurement data achieved a total coverage of 98.5% with high distribution uniformity within each class, providing effective guidance for redesigning full-face mask structural parameters. In comparison to foreign products currently utilized in nuclear facilities, the newly designed full-face mask structure exhibited excellent tightness and structural safety and reliability, and can be cleaned, decontaminated, and reused. Conclusion The results of this study provide significant guidance for improving and optimizing full-face respiratory protection mask used at nuclear facilities, as well as promoting domestic production of high-quality full-face respiratory protection masks.