OBJECTIVE To evaluate the clinical efficacy and safety of Jianwei xiaoshi oral liquid in the treatment of functional dyspepsia （FD） in children， and provide evidence-based basis for clinical use of the drug. METHODS Retrieved from CNKI， VIP， Wanfang， CBM， Cochrane Library and PubMed， randomized controlled trials （RCTs） about Jianwei xiaoshi oral liquid in the treatment of FD in children were collected from the inception to Apr. 2024. The control group was treated with conventional western drugs （including gastrointestinal motion-promoting， antacids or acid-suppressing drugs）， and the trial group was treated with Jianwei xiaoshi oral liquid alone or combined with conventional Western drugs （drug dosage and course of treatment were the same as the control group）. Meta-analysis was performed using RevMan 5.3 software after quality evaluation with the Cochrane risk bias assessment tool 6.1. RESULTS Totally 16 literature were employed which included 1 962 patients. The results of meta-analysis showed that the total clinical effective rate of Jianwei xiaoxi oral liquid in the treatment of FD in children of trial group was significantly higher than that of the control group [RR＝1.18， 95%CI （1.13， 1.22）， P＜0.000 01]. In this study， subgroup analysis was conducted on the usage and dosage， course of treatment， and combination or not in trial group， as well as the type of conventional Western drugs. The results showed that the total clinical effective rate of trial group was significantly higher than that of control group； the relief time of abdominal distension and abdominal pain in trial group [MD＝－2.54， 95%CI （－3.10， －1.98）]， loss of appetite relief time [MD＝－2.12， 95%CI （－2.63， －1.61）]， nausea and vomiting relief time [MD＝－1.70， 95%CI （－2.27， －1.14）]， and belching relief time [MD＝－1.61， 95%CI （－2.44， －0.78）] were shorter than that of the control group significantly （P＜0.05）. In addition， compared with control group， the levels of gastrin [SMD＝1.63， 95%CI （0.98， 2.29）] and motilin [SMD＝2.06， 95%CI （1.58， 2.54）] as well as gastric antral emptying rate [MD＝5.99， 95%CI （2.78， 9.21）] in trial group were increased significantly， while the level of somatostatin was decreased significantly [SMD＝－1.30， 95%CI （－1.57， －1.02）] （P≤0.000 3）. CONCLUSIONS Jianwei xiaoshi oral liquid， whether used alone or in combination with other medications， and regardless of the treatment course or dosage and usage， is effective in treating FD in children， with good safety.

ObjectiveTo elucidate the potential mechanisms by which the classic prescription Anmeidan alleviates cognitive impairment in insomnia model rats through metabolic profiling. MethodsA total of 60 SD rats were randomly divided into six groups： blank group， model group， low-， medium-， and high-dose Anmeidan groups， and the Suvorexant group， with 10 rats in each group. Except for the blank group， the insomnia model was established in all other groups via intraperitoneal injection of para-chlorophenylalanine. The Suvorexant group was administered Suvorexant solution （30 mg·kg^-1·d^-1） by gavage， while the low-， medium-， and high-dose Anmeidan groups received Anmeidan decoction （4.55， 9.09， 18.18 g·kg^-1·d^-1） by gavage. The blank group received an equivalent volume of normal saline. The open field test was used to assess spatial exploration and anxiety/depressive-like behaviors in rats. Serum levels of epidermal growth factor （EGF）， brain-derived neurotrophic factor （BDNF）， and vasoactive intestinal peptide （VIP） were measured using enzyme-linked immunosorbent assay （ELISA）. Untargeted metabolomics was employed to identify differential metabolites in rat serum， and systematic biological methods were applied to analyze the potential targets and pathways of Anmeidan. ResultsCompared to the blank group， the model group exhibited significant reductions in total distance traveled， average speed， number of entries into the central area， time spent in the central area， and frequency of upright events （P<0.01）， along with significant decreases in VIP， EGF， and BDNF levels （P<0.05，P<0.01）. A total of 100 differential metabolites were identified between the model and blank groups. Compared to the model group， the low-， medium-， and high-dose Anmeidan groups showed significant increases in total distance traveled， average speed， number of entries into the central area， time spent in the central area， and frequency of upright events （P<0.05，P<0.01）， as well as a significant increase in VIP levels （P<0.05，P<0.01）. Anmeidan significantly reversed abnormal changes in 67 metabolites compared to the model group. A combined analysis identified 134 potential targets of Anmeidan， with network topology analysis suggesting that Caspase-3， B-cell lymphoma 2 （Bcl-2）， nuclear transcription factor-κB （NF-κB）， interleukin-1β （IL-1β）， interleukin-2 （IL-2）， matrix metalloproteinase-9 （MMP-9）， and Toll-like receptor 4 （TLR4）， among others， may serve as key targets of Anmeidan. Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis revealed major enriched pathways， including the cyclic adenosine monophosphate （cAMP） signaling pathway， hypoxia inducible factor-1 （HIF-1） signaling pathway， and IL-17 signaling pathway. ConclusionThis study demonstrates that Anmeidan can recalibrate abnormal metabolic profiles in insomnia model rats to mitigate cognitive impairment， with its mechanisms of action potentially involving the regulation of immune-inflammatory responses， energy metabolism， and apoptosis-related pathways.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

The Expert Consensus on the Deployment of DeepSeek in Medical Institutions serves as a detailed guideline for the deployment of DeepSeek in medical institutions. It was developed by experts in the fields of healthcare， hospital management， medical information， health policy， law， and medical ethics from nearly 30 leading domestic medical and academic research institutions， based on relevant domestic and international laws and regulations as well as the practices of medical institutions. It aims to provide medical institutions with a scientific， standardized， and secure deployment guideline to ensure that the application of artificial intelligence （AI） technologies in healthcare， including but not limited to DeepSeek， conforms to the unique characteristics of the healthcare industry and effectively promotes the improvement of medical service levels. From the three aspects of pre-deployment evaluation， deployment implementation， and post-deployment management and monitoring， the key factors that medical institutions should consider when introducing DeepSeek were elaborated in detail， including medical demand compatibility， technical capabilities and infrastructure， legal and ethical risks， data preparation and management， model selection and optimization， system integration and training， performance monitoring and continuous optimization， risk management and emergency response， as well as compliance review and evaluation. This provides a comprehensive deployment framework for medical institutions to ensure the safety and effectiveness of technology applications.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

BACKGROUND:With advancements in stem cell research,the therapeutic efficacy of adult stem cells such as endothelial progenitor cells and mesenchymal stem cells in atherosclerosis and complications arising from atherosclerosis and vascular stent implantation is gradually being recognized.Due to the limitations of intravenous infusion of adult stem cells,including poor targeting and low treatment efficiency,recent research has focused on surface modification of vascular stents to achieve localized aggregation and functional modulation of endothelial progenitor cells or mesenchymal stem cells. OBJECTIVE:To discuss the therapeutic progress of endothelial progenitor cells and mesenchymal stem cells in vascular stent-related diseases,summarize the research status of the design of vascular stents based on endothelial progenitor cells and mesenchymal stem cells. METHODS:Relevant literature was retrieved on CNKI,WanFang,PubMed,and Web of Science databases since their inception.The Chinese search terms were"endothelial injury,stenting,thrombosis,intimal hyperplasia,atherosclerosis,endothelial repair,endothelial progenitor cell,mesenchymal stem cell,vascular stent."English search terms were"endothelial injury,stenting,thrombosis,intimal hyperplasia,atherosclerosis,endothelial repair,endothelial regeneration,endothelial progenitor cell,mesenchymal stem cell,vascular stent,vascular scaffold."According to inclusion and exclusion criteria,127 articles were finally reviewed. RESULTS AND CONCLUSION:Endothelial progenitor cells and mesenchymal stem cells can treat atherosclerosis and complications of stent implantation through differentiation and paracrine effects,mainly by protecting endothelial cells,regulating the expression of inflammatory cells and cytokines,and modulating smooth muscle cell proliferation and phenotype.Mesenchymal stem cells may have adverse reactions such as thrombosis and vascular calcification in therapeutic applications,and using extracellular vesicles and co-administration with heparin for surface modification is a feasible solution.Currently,there is more research on stents based on endothelial progenitor cells,mainly focusing on recruitment,capture,proliferation,differentiation,and activity.Research on stents based on mesenchymal stem cell capture in the vascular field is relatively scarce,but exosome-loaded stents derived from mesenchymal stem cells have been found to have highly effective therapeutic efficacy.Additionally,some underlying diseases such as diabetes may affect the activity of adult stem cells,leading to the loss of effectiveness in stem cell-based stent designs.Therefore,in future stent designs,consideration should be given to the background diseases.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.