ObjectiveThis study aims to investigate the therapeutic effects of Wenweishu granule （WWSG） on functional dyspepsia （FD） with spleen-stomach deficiency cold syndrome in rats by integrating network pharmacology， molecular docking， and animal experiments. MethodsActive components and corresponding targets of WWSG were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. Disease-related targets for FD with spleen-stomach deficiency cold syndrome were screened using GeneCards and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）. Core therapeutic targets were identified via Cytoscape and validated by molecular docking. A rat model of FD with spleen-stomach deficiency cold syndrome was established using vinegar gavage combined with tail-clamping. The rats were randomly divided into a model group， low-， medium-， and high-dose WWSG groups （2.0， 4.0， 8.0 g·kg^-1）， a domperidone group （3.0 mg·kg^-1）， a Fuzi Lizhong pillwan （0.8 g·kg^-1）， and a normal control group （n=10 per group）. Drugs were administered once daily by gavage for 14 consecutive days. After treatment， body weight， symptom scores， and gastrointestinal motility indices were recorded. Gastric and duodenal pathologies changes were observed via hematoxylin-eosin （HE） staining. Brain-gut peptides were measured in serum and tissue using enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry and Western blot were performed to assess stem cell factor （SCF） and receptor tyrosine kinase （c-Kit） protein expression in gastric tissues. ResultsA total of 305 drug targets， 1 140 disease targets， and 116 overlapping targets were identified. Cytoscape analysis revealed 104 core targets. Enrichment analysis indicated that the SCF/c-Kit signaling pathway was the key mechanism. Molecular docking confirmed a strong binding affinity between active components of WWSG and SCF/c-Kit proteins （binding energy<-5.1 kcal·mol^-1）. Compared with the normal group， model rats exhibited slower weight gain （P<0.05）， reduced gastric emptying and intestinal propulsion （P<0.01）， mild gastric mucosal shedding， duodenal inflammatory cell infiltration， decreased levels of gastrin （GAS）， 5-hydroxytryptamine （5-HT）， and vasoactive intestinal peptide （VIP） （P<0.05， P<0.01）， and elevated somatostatin （SS） expression （P<0.05， P<0.01）. WWSG treatment ameliorated weight gain， symptom scores， and low-grade inflammation in gastric/duodenal tissues. High-dose WWSG significantly improved gastric emptying and intestinal propulsion， upregulated GAS， 5-HT， and VIP， and downregulated SS expression in serum and tissues （P<0.05， P<0.01）. Immunohistochemistry and Western blot demonstrated that SCF and c-Kit protein expression was decreased in the model group （P<0.05， P<0.01）， which was reversed by WWSG intervention （P<0.05）. ConclusionWWSG exerts therapeutic effects on FD with spleen-stomach deficiency cold syndrome in rats， potentially by regulating the SCF/c-Kit signaling pathway to enhance gastrointestinal motility.

To standardize the management of high-alert medications in medical institutions and ensure their safe and ef-fective use,based on relevant national regulations and normative documents,international high-alert medication management guidelines,and expert opinions,the Pharmaceutical Specialized Committee of the Chinese Hospital Association led the develop-ment of the Pharmaceutical Supply Services—Key Drugs Management—High-alert Medications.This article elaborated on the for-mulation process of this standard and provides an in-depth analysis of its key contents.It aimed to offer guidance and reference for medical personnel,helping them to thoroughly understand and master the management requirements of high-alert medications,thereby enhancing the management level of high-alert medications and ensuring the safe and effective use of medications for pa-tients.

Aim To investigate the relationship between sleep deprivation and vascular aging,as well as the un-derlying mechanisms.Methods Male Sprague-Dawley rats were divided into control group,senescence group,sleep deprivation group,and sleep deprivation+senescence group,with 6 rats in each group.The modified level table method deprived rats of sleep duration.Senescence-associated β-galactosidase(SA-β-Gal)staining was used to detect the senes-cence status of rat vascular tissue.The mRNA and protein expression of tumor suppressor protein p53,silent information regulator 1(SIRT1)and clock gene cryptochrome 1(CRY1)was detected by real-time fluorescence quantification PCR(RT-qPCR),Western blot and immunohistochemistry.Results Compared with the control group,the intensity of SA-β-Gal staining was increased in the vascular tissues of the senescence group rats,the expression level of p53 was elevat-ed,the expression level of SIRT1 was decreased.Similar changes were observed in the sleep deprivation group and the sleep deprivation+senescence group,including intensified SA-β-Gal staining,elevated p53 levels,and reduced SIRT1 lev-els in vascular tissues.Additionally,compared with the control group,the sleep deprivation group showed reduced CRY1 levels in vascular tissues,while only CRY1 mRNA levels were reduced in the sleep deprivation+senescence group.Fur-thermore,compared with the senescence group,the sleep deprivation+senescence group exhibited intensified SA-β-Gal staining,increased p53 level,decreased SIRT1 level,and reduced CRY1 mRNA level in vascular tissues.Conclusion Sleep deprivation may promote the expression of vascular aging-related factors,potentially through the inhibition of CRY1 expression in vascular tissues.

Through collecting the existing clinical evidences on acupuncture and moxibustion for urticaria, the distribution of evidence in this field was mapped. A systematic search of Chinese and English literature was conducted in CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, and Cochrane Library for treatment of urticaria with acupuncture and moxibustion, published up to December 31, 2023 since inception of each database. The research status in this field was summarized using an evidence mapping approach, and methodological quality was assessed. A total of 323 randomized controlled trials (RCTs) and 22 systematic reviews were included. The number of studies on acupuncture and moxibustion for urticaria has been increasing, with a significant rise in recent years. In most RCTs, the study scale was small, and the subjects focused on chronic spontaneous urticaria in adolescents and middle-aged adults, aged 14 to 60 years. Regarding the intervention measures, the single therapy of acupuncture and moxibustion was predominant such as acupoint injection, acupoint embedding thread, and filiform needling. In acupuncture with filiform needles, the commonly used acupoints were Quchi (LI11), Xuehai (SP10), Sanyinjiao (SP6), Zusanli (ST36) and Hegu (LI4). The main outcome measures referred to effectiveness rate, score of disease severity, recurrence rate, laboratory indexes, and score of quality of life; and the short-term effect was evaluated specifically. The overall methodological quality of the included studies was relatively low. It is suggested that the future research should focus on large-scale, multi-center, high-quality clinical trials, optimize the protocols for acupuncture and moxibustion intervention, standardize the outcomes, and draw the attention to the evaluation of long-term efficacy, so as to provide clinical evidences of high certainty for urticaria treated with acupuncture and moxibustion.
Humans ; Moxibustion ; Acupuncture Therapy ; Urticaria/therapy* ; Acupuncture Points ; Randomized Controlled Trials as Topic ; Adolescent ; Adult ; Young Adult

Objective To analyze ancient prescriptions for knee osteoarthritis(KOA),and explore their application patterns,for providing clinical reference value.Methods Prescriptions were collected from ancient documents,and a database was created by using Excel 2016 for frequency analysis.Association rules and hidden structures were analyzed by using SPSS Modeler 18.0 and Lantern 5.0.Results A total of 373 prescriptions and 421 herbs were collected,with 3894 times of frequency of medication.Danggui was the most frequently used herb.Herbs primarily tonified deficiencies,relieved exterior symptoms,and expelled wind-dampness,with warm properties and pungent,sweet,or bitter tastes,mainly targeting the spleen and kidney meridians.Thirteen strong association rules were identified,including Chuanxiong+Niuxi-Danggui,and Bixie-Niuxi.Hidden structure analysis revealed 10 variables,leading to 4 clusters and 4 core prescriptions.Common syndromes included wind-damp,wind-cold-damp,wind-damp-heat,and qi-blood deficiency.Conclusion The treatment of KOA in ancient literature focuses on dispelling wind and removing dampness,taking into account both positive deficiency and evil excess,flexible use of tonifying spleen and kidney,clearing dampness-heat,tonifying Qi and blood and other drugs.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective To analyze ancient prescriptions for knee osteoarthritis(KOA),and explore their application patterns,for providing clinical reference value.Methods Prescriptions were collected from ancient documents,and a database was created by using Excel 2016 for frequency analysis.Association rules and hidden structures were analyzed by using SPSS Modeler 18.0 and Lantern 5.0.Results A total of 373 prescriptions and 421 herbs were collected,with 3894 times of frequency of medication.Danggui was the most frequently used herb.Herbs primarily tonified deficiencies,relieved exterior symptoms,and expelled wind-dampness,with warm properties and pungent,sweet,or bitter tastes,mainly targeting the spleen and kidney meridians.Thirteen strong association rules were identified,including Chuanxiong+Niuxi-Danggui,and Bixie-Niuxi.Hidden structure analysis revealed 10 variables,leading to 4 clusters and 4 core prescriptions.Common syndromes included wind-damp,wind-cold-damp,wind-damp-heat,and qi-blood deficiency.Conclusion The treatment of KOA in ancient literature focuses on dispelling wind and removing dampness,taking into account both positive deficiency and evil excess,flexible use of tonifying spleen and kidney,clearing dampness-heat,tonifying Qi and blood and other drugs.

To standardize the management of high-alert medications in medical institutions and ensure their safe and ef-fective use,based on relevant national regulations and normative documents,international high-alert medication management guidelines,and expert opinions,the Pharmaceutical Specialized Committee of the Chinese Hospital Association led the develop-ment of the Pharmaceutical Supply Services—Key Drugs Management—High-alert Medications.This article elaborated on the for-mulation process of this standard and provides an in-depth analysis of its key contents.It aimed to offer guidance and reference for medical personnel,helping them to thoroughly understand and master the management requirements of high-alert medications,thereby enhancing the management level of high-alert medications and ensuring the safe and effective use of medications for pa-tients.

Aim To investigate the relationship between sleep deprivation and vascular aging,as well as the un-derlying mechanisms.Methods Male Sprague-Dawley rats were divided into control group,senescence group,sleep deprivation group,and sleep deprivation+senescence group,with 6 rats in each group.The modified level table method deprived rats of sleep duration.Senescence-associated β-galactosidase(SA-β-Gal)staining was used to detect the senes-cence status of rat vascular tissue.The mRNA and protein expression of tumor suppressor protein p53,silent information regulator 1(SIRT1)and clock gene cryptochrome 1(CRY1)was detected by real-time fluorescence quantification PCR(RT-qPCR),Western blot and immunohistochemistry.Results Compared with the control group,the intensity of SA-β-Gal staining was increased in the vascular tissues of the senescence group rats,the expression level of p53 was elevat-ed,the expression level of SIRT1 was decreased.Similar changes were observed in the sleep deprivation group and the sleep deprivation+senescence group,including intensified SA-β-Gal staining,elevated p53 levels,and reduced SIRT1 lev-els in vascular tissues.Additionally,compared with the control group,the sleep deprivation group showed reduced CRY1 levels in vascular tissues,while only CRY1 mRNA levels were reduced in the sleep deprivation+senescence group.Fur-thermore,compared with the senescence group,the sleep deprivation+senescence group exhibited intensified SA-β-Gal staining,increased p53 level,decreased SIRT1 level,and reduced CRY1 mRNA level in vascular tissues.Conclusion Sleep deprivation may promote the expression of vascular aging-related factors,potentially through the inhibition of CRY1 expression in vascular tissues.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.