Total-body PET/CT, with its long axial field of view and high sensitivity detector, has shown potential for reducing the dose of radiopharmaceuticals. However, pediatric patients are significantly more sensitive to radiation and have a higher long-term cancer risk than adults, posing fundamental challenges for dose management in PET/CT examinations for these patients. In this article, the technical characteristics of total-body PET/CT and its radiation exposure status in children were systematically analyzed. The radiation exposure could be controlled by the following optimization strategies: adjusting the CT exposure parameters, optimizing the scanning mode, adding reconstruction algorithm, and reducing the injected dose of radioactive tracer. By addressing both external and internal radiation during the PET/CT scanning process, the overall radiation dose received by pediatric patients can be reduced within a certain range. In addition, this article also discusses the technical differences between “total-body” and “whole-body” concepts, and emphasizes that the future optimization of radiation dose in pediatric PET/CT should be realized by integration of personalized scanning protocols. Through reasonable management of scanning protocols and processes, low-dose and high-quality PET/CT imaging can be achieved in clinical environments, thus maximizing protection of pediatric patient health while minimizing the risks associated with ionizing radiation exposure.

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*

A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex (MOC) was developed and implemented to rapidly profile and discover bioactive metabolites in vivo derived from traditional Chinese medicine (TCM). The strategy possessed four characteristics: 1) The tailored database consisted of metabolites derived from big data-originated reference compound, metabolites predicted in silico, and MOC chemical profile-based pseudomolecular ions. 2) When profiling MOC-derived metabolites in vivo, attentions were paid not only to prototypes of MOC compounds and metabolites directly derived from MOC compounds, as reported by most papers, but also to isomerized metabolites and the degradation products of MOC compounds as well as their derived metabolites. 3) Metabolite traceability was performed, especially to distinguish isomeric prototypes-derived metabolites, prototypes of MOC compounds as well as phase I metabolites derived from other MOC compounds. 4) Molecular docking was utilized for high-throughput activity screening and molecular dynamic simulation as well as zebrafish model were used for verification. Using this strategy, 134 metabolites were swiftly characterized after the oral administration of MOC to rats, and several metabolites were reported for the first time. Furthermore, 17 potential active metabolites were discovered by targeting the motilin, dopamine D2, and the serotonin type 4 (5-HT₄) receptors, and part bioactivities were verified using molecular dynamic simulation and a zebrafish constipation model. This study extends the application of mass spectrometry (MS) to rapidly profile TCM-derived metabolites in vivo, which will help pharmacologists rapidly discover potent metabolites from a complex matrix.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

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.

BACKGROUND:Shikonin contributes to the promotion of bone defect repair and the treatment of osteoporosis. OBJECTIVE:To summarize the application potential of shikonin and its derivatives in oral soft and hard tissue regeneration. METHODS:A literature review was conducted in databases such as PubMed,Web of Science,Wanfang,China National Knowledge Infrastructure(CNKI),and VIP,spanning articles from 2002 to 2023.The search terms were"shikonin,oral cavity,periodontitis,antibacterial,bone formation,osteoclast,osteoporosis,toxicology"in Chinese and English. RESULTS AND CONCLUSION:Shikonin and its derivatives possess anti-inflammatory effects,inhibit periodontal pathogens such as Porphyromonas gingivalis,promote periodontal wound healing,and regenerate alveolar bone tissue.Shikonin formulations can be used to treat oral diseases such as aphthous ulcers and oral candidiasis.These findings suggest a promising future for shikonin and its derivatives in treating periodontal diseases,preventing oral ailments,and promoting the regeneration of both soft and hard periodontal tissues.Further research is needed to explore how to combine shikonin with tissue engineering to achieve quicker healing of oral soft and hard tissues.

Based on the reality that the Health Management Alliance(HMA)has been initially established nationwide as an important component of the integrated health care service system,on the basis of summarizing the evolution process of transaction cost theory,discriminating the essential characteristics of HMA,deconstructing HMA transaction cost and putting forward a quantitative measurement model,the coping strategies of HMA transaction cost are summarized into three levels:"knowing","reducing"and"increasing".It aims to solve the high transaction cost effectively and explore the economic system supply path;correct the deviation of the field of vision which only focuses on the"output orientation"of HMA in the early stage,and arouse the attention and thinking of all parties on the transaction cost of HMA;provide a new position and a new idea for HMA policy research and reform practice in China.

Objective:To investigate whether intestinal rehabilitation therapy (IRT)could optimize the effectiveness of IRT in patients with short bowel syndrome (SBS) caused by acute mesenteric ischemia (AMI) with chronic multivessel lesions.Methods:Clinical data of 18 hospitalized patients diagnosed with AMI leading to SBS and undergoing IRT at the Eastern Theater General Hospital of the People's Liberation Army from Jan 2012 to Oct 2023 was retrospectively analyzed.Result:Following IRT, the revascularization group showed significantly greater increases in ASMI and grip strength compared to the control group [(0.28±0.26) kg/m 2vs. (0.02±0.21) kg/m 2, P=0.033, and (0.97±0.33) kg vs. (0.48±0.34) kg, P=0.007, respectively]. Similarly, the increase in EN intake was significantly higher in the revascularization group compared to the control group [(572.5±93.6) ml/d vs. (375.2±176.3) ml/d, P=0.012], accompanied by a greater improvement in intestinal nitrogen absorption rate [(25.06±14.06)% vs. (13.84±4.62)%, P=0.034] and a more substantial decrease in GSRS scores [(-15.88±3.94) vs. (-6.33±5.13), P=0.030]. Moreover, there were significant differences in the composition of EN formulations between the two groups after IRT ( P=0.046). Additionally, SF-36 scores at discharge were significantly higher in the revascularization group than that in the control group for five indicators including BP, GH, VT, SF, and MH ( P<0.05). Conclusions:For patients with SBS resulting from AMI by chronic multivessel lesions, revascularization therapy may not leading to higher growth in weight and hematological nutritional indicators during IRT, but it is beneficial for improving muscle function, improving EN absorption, increasing the likelihood of PN independence, relieving gastrointestinal symptoms, and enhancing overall quality of life.