Objective: To explore the correlation between traditional Chinese medicine (TCM) constitution and depressive symptom among school aged children and adolescents, so as to provide evidences for informing constitution based regulation and prevention of depressive symptom. Methods: From June to December 2024, a total of 4 729 students aged 6-14 were recruited by cluster random sampling from 10 primary schools in Baoding (Hebei Province), Heze and Liaocheng (Shandong Province). General information, TCM constitution and depressive symptom were collected. Restricted cubic spline (RCS) models were used to analyze related factors and threshold effects of depressive symptom. Binary Logistic regression was applied to examine the association between depressive symptom and TCM constitution, with subgroup analyses conducted. Results: The detection rate of depressive symptom among the included children and adolescents was 25.82%. RCS analyses indicated non linear associations between depressive symptom and age (inflection point at 10 years old), bedtime (inflection point at 22:00), and wake up time (inflection point at 6:30 ) (all P non linearity <0.01). Linear associations were observed with body mass index (BMI) and sleep duration (all P non linearity > 0.05 ). After adjusting for covariates such as age, BMI and sleep status, binary Logistic regression analyses showed that Yin deficient constitution ( OR =1.26, 95% CI =1.09-1.45) and Phlegm-dampness constitution ( OR =1.42, 95% CI =1.11-1.82) were significantly associated with depressive symptom among children and adolescents (all P <0.05). Conclusions Depressive symptom among school aged children and adolescents is primarily associated with Yin deficiency and Phlegm dampness constitutions in TCM constitution. Active attention should be paid to susceptible TCM constitution among children and adolescents. Targeted health guidance and interventions should be implemented to improve TCM constitution health status for preventing the occurrence of depressive symptom.

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

OBJECTIVE: To investigate the effectiveness of using 3 hollow compression screws combined with 1 screw off-axis fixation under the guidance of three-dimensional (3D) printed guide plate with mortise-tenon joint structure (mortise-tenon joint plate) for the treatment of Pauwels type Ⅲ femoral neck fractures. METHODS: A clinical data of 78 patients with Pauwels type Ⅲ femoral neck fractures, who were admitted between August 2022 and August 2023 and met the selection criteria, was retrospectively analyzed. The operations were assisted with mortise-tenon joint plates in 26 cases (mortise-tenon joint plate group) and traditional guide plates in 28 cases (traditional plate group), and without guide plates in 24 cases (control group). There was no significant difference in the baseline data of gender, age, body mass index, cause of injury, and fracture side between groups ( P>0.05). The operation time, intraoperative blood loss, frequency of intraoperative fluoroscopy, incision length, incidence of postoperative deep vein thrombosis of lower extremity, pain visual analogue scale (VAS) score at 1 week after operation, and Harris score of hip joint at 3 months after operation were recorded and compared. X-ray re-examination was taken to check the quality of fracture reduction, fracture healing, and the shortening length of the femoral neck at 3 months after operation, and the incidences of internal fixation failure and osteonecrosis of the femoral head during operation. RESULTS: Compared with the control group, the operation time, intraoperative blood loss, and frequency of intraoperative fluoroscopy reduced in the two plate groups, and the quality of fracture reduction was better, but the incision was longer, and the differences were significant ( P<0.05). The operation time and intraoperative blood loss were significantly higher in the traditional plate group than in the mortise-tenon joint plate group ( P<0.05), the incision was significantly longer ( P<0.05); and the difference in fracture reduction quality and the frequency of intraoperative fluoroscopy was not significant between two plate groups ( P>0.05). There was 1 case of deep vein thrombosis of lower extremity in the traditional plate group and 1 case in the control group, while there was no thrombosis in the mortise-tenon joint plate group. There was no significant difference in the incidence between groups ( P>0.05). All patients were followed up 12-15 months (mean, 13 months). There was no significant difference in VAS score at 1 week and Harris score at 3 months between groups ( P>0.05). Compared with the control group, the fracture healing time and the length of femoral neck shortening at 3 months after operation were significantly shorter in the two plate groups ( P<0.05). There was no significant difference between the two plate groups ( P>0.05). There was no significant difference in the incidences of non-union fractures, osteonecrosis of the femoral head, or internal fixation failure between groups ( P>0.05). CONCLUSION For Pauwels type Ⅲ femoral neck fractures, the use of 3D printed guide plate assisted reduction and fixation can shorten the fracture healing time, reduce the incidence of postoperative complications, and be more conducive to the early functional exercise of the affected limb. Compared with the traditional guide plate, the mortise-tenon joint plate can reduce the intraoperative bleeding and shorten the operation time.
Humans ; Femoral Neck Fractures/diagnostic imaging* ; Bone Plates ; Fracture Fixation, Internal/instrumentation* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Bone Screws ; Adult ; Aged ; Treatment Outcome ; Printing, Three-Dimensional ; Operative Time

Objective: To explore the mechanism of action of Zangjiangzhi capsule (ZJZC) in treating hyperlipidemia (HLP). Methods: The components of ZJZC were analyzed and identified using ultra-high performance liquid chromatography with Q-Exactive Orbitrap tandem mass spectrometry (UHPLC-Q-Exactive-Orbitrap-MS/MS). Network pharmacology analysis was used to explore the mechanism of action of ZJZC in HLP treatment. The SwissTargetPrediction database was used to predict compound targets, and GeneCards, DisGeNet, OMIM, and DRUGBANK databases were used to identify HLP-related targets. Protein–protein interaction diagrams were constructed using the STRING database. The targets were subjected to gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The “herb-ingredient-target” network was visualized using Cytoscape. Preliminary validation was performed using molecular docking and enzyme-linked immunosorbent assay. Results: Ninety compounds were identified in ZJZC, including 34 flavonoids, 12 phenols, 10 terpenoids, 10 alkaloids, 8 organic acids, 8 anthraquinones, and 9 other compounds. In total, 904 targets were identified for these compounds. Among them, 158 targets intersected with the HLP target network. Network pharmacology analysis showed that MAPK1, PPAR-α, RXRA, HSP90AA1, PIK3R1, AKT1, PIK3CA, IL6, TNF, and ESR1 are the key targets of action. KEGG enrichment analysis identified 164 pathways. Among these, the AGE-RAGE signaling pathway in diabetic complications, lipid and atherosclerosis pathways, regulation of lipids in adipocytes, and insulin resistance are related to HLP. Molecular docking showed good affinity between the key targets and ingredients. Further, ZJZC treatment in mice resulted in lower expression of MAPK1 protein and increased expression of PPAR-α protein, which have been shown to be strongly associated with HLP. Conclusions This study showed that ZJZC contains various active ingredients and can modulate multiple targets and pathways associated with HLP, providing evidence at the molecular level for its clinical application in the treatment of HLP.

Objective:To explore the impact of sleep duration, physical exercise, and their interactions on the risk of dyslipidemia in older adults aged ≥80 (the oldest old) in China.Methods:The study subjects were the oldest old from four rounds of Healthy Aging and Biomarkers Cohort Study (2008-2009, 2011-2012, 2014 and 2017-2018). The information about their demographic characteristics, lifestyles, physical examination results and others were collected, and fasting venous blood samples were collected from them for blood lipid testing. Competing risk model was used to analyze the causal associations of sleep duration and physical exercise with the risk for dyslipidemia. Restricted cubic spline (RCS) function was used to explore the dose-response relationship between sleep duration and the risk for dyslipidemia. Additive and multiplicative interaction model were used to explore the interaction of sleep duration and physical exercise on the risk for dyslipidemia.Results:The average age of 1 809 subjects was (93.1±7.7) years, 65.1% of them were women. The average sleep duration of the subjects was (8.0±2.5) hours/day, 28.1% of them had sleep duration for less than 7 hours/day, and 27.2% had sleep for duration more than 9 hours/day at baseline survey. During the 9-year cumulative follow-up of 6 150.6 person years (follow-up of average 3.4 years for one person), there were 304 new cases of dyslipidemia, with an incidence density of 4 942.6/100 000 person years. The results of competitive risk model analysis showed that compared with those who slept for 7-9 hours/day, the risk for dyslipidemia in oldest old with sleep duration >9 hours/day increased by 22% ( HR=1.22, 95% CI: 1.07-1.39). Compared with the oldest old having no physical exercise, the risk for dyslipidemia in the oldest old having physical exercise decreased by 33% ( HR=0.67, 95% CI: 0.57-0.78). The RCS function showed a linear positive dose-response relationship between sleep duration and the risk for hyperlipidemia. The interaction analysis showed that physical exercise and sleep duration had an antagonistic effect on the risk for hyperlipidemia. Conclusion:Physical exercise could reduce the adverse effects of prolonged sleep on blood lipids in the oldest old.

This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images,composed of 1761 ultrasound images from 1165 participants.A deep learning architecture that combines bilinear convolutional neural networks with residual neural networks,known as the single-input BCNN-ResNet model,was utilized to aid clinical doctors in diagnosing plaques using carotid ultrasound images.Following training,internal validation,and external validation,the model yielded an ROC AUC of 0.99(95%confidence interval:0.91 to 0.84)in internal validation and 0.95(95%confidence interval:0.96 to 0.94)in external validation,surpassing the ResNet-34 network model,which achieved an AUC of 0.98(95%confidence interval:0.99 to 0.95)in internal validation and 0.94(95%confidence interval:0.95 to 0.92)in external validation.Consequently,the single-input BCNN-ResNet network model has shown remarkable diagnostic capabilities and offers an innovative solution for the automatic detection of carotid artery plaques.

Objective To explore the relationship between serum miRNA-21 and miR-27b levels and prognosis of patients with renal clear cell carcinoma.Methods A total of 118 patients with renal clear cell carcinoma admitted to the Qinghai University Hospital from February 2019 to April 2021 were selected as the study subjects,and another 118 healthy patients in the same period as the control group.Real time fluorescence quantitative polymerase chain reaction(PCR)was used to detect the expression of miR-21 and miR-27b in the serum of all subjects.The relative expression levels of serum miR-21 and miR-27b between the patients with renal clear cell carcinoma and healthy control patients were compared.The expression and correlation of serum miR-21 and miR-27b in the patients with renal clear cell carcinoma of different pathological stages and Fuhrman grading were analyzed.The relationship between the expression of serum miR-21 and miR-27b and the survival and prognosis of the patients was explored as well.Results The expression levels of serum miR-21 and miR-27b in the patients with renal clear cell carcinoma were higher than those in the healthy control group(P＜0.05).The serum miR-21 expression level in stage Ⅲ patients was higher than in stageⅠ(P＜0.05),while the serum miR-21 expression level in the stage Ⅳ patients was higher than that in stagesⅠ,Ⅱ,and Ⅲ(P＜0.05).The expression level of miR-27b in the serum of patients gradually increased across the four stages,with a significant difference(P＜0.05).The pathological staging was positively correlated with the expression of miR-21 and miR-27b(P＜0.001).The expression levels of miR-21 and miR-27b in serum of patients gradually increased across grades Ⅰ,Ⅱ and Ⅲ by Fuhrman grading,with significant difference(P＜0.05).Fuhrman grading was positively correlated with the serum miR-21 and miR-27b expression(P＜0.001).There was a statistically significant difference in the survival curve between the miR-21 high expression group and the low expression group(P＜0.05).There was a statistically significant difference in the survival curve between the high expression group and the low expression group of miR-27b(P＜0.05).Conclusion The expression levels of serum miR-21 and miR-27b in patients with renal clear cell carcinoma is indicative of the progression and prognosis of the patient's condition.

Objective To address the difficulty in collecting sufficient endoscopic images of colorectal submucosal tumors for traditional deep learning model training,a few-shot learning based model(FSL model)is proposed for classifying colorectal submucosal tumors and polyps on endoscopic images.Methods A total of 172 endoscopic images of colorectal submucosal tumors were collected from different centers,including 43 each of colorectal lipomas(CRLs),neuroendocrine tumors(NETs),serrated lesions and polyps(SLPs),and traditional adenomas.A support set and a query set were constructed using these endoscopic images.ResNet50 which was pre-trained on ImageNet and esophageal endoscopic images was used to extract image features.Subsequently,K-nearest neighbors algorithm was used for classification based on the calculated Euclidean distance.The classification performance of FSL model was evaluated through the comparison with the original model and endoscopists.Results FSL model had a 4-class classification accuracy of 0.831,Macro AUC of 0.925,Macro F1-score of 0.831;moreover,the proposed model achieved diagnostic accuracies of 0.925 and 0.906 for CRLs and NETs,with F1 score of 0.850 and 0.805.Additionally,the proposed model exhibited high classification consistency(Kappa=0.775)and interpretability.Conclusion The established FSL model performs well in distinguishing CRLs,NETs,SLPs and traditional adenomas on endoscopic images,indicating its potential utility in assisting the identification of colorectal submucosal tumors under endoscopy.

Intrahepatic cholangiocarcinoma (ICC) is a malignant tumor derived from the biliary epithelial cells of the liver. Radical surgical resection remains the only potentially curative treatment but still with a dismal prognosis. In light of research progress in tumor immunotherapy, the combination of chemotherapy and immunotherapy has recently emerged as a first-line regimen for a significantly improved survival in patients with ICC. Genomics-based targeted therapy can benefit ICC patients with specific gene mutations. Additionally, systemic combined with local treatment can also benefit a group of patients with ICC. The management of ICC remains challenging and we hereby reviewed the treatment strategies of ICC to provide valuable references for clinical diagnosis, treatment, and basic research of ICC.