OBJECTIVE: This study aims to elucidate the therapeutic potential of osthole for the treatment of atopic dermatitis (AD), focusing on its ability to alleviate chronic pruritus (CP) and the underlying molecular mechanisms. METHODS: In this study, we investigated the anti-inflammatory effects of osthole in both a 2,4-dichloronitrobenzene (DNCB)-induced AD mouse model and tumor necrosis factor-α (TNF-α) and interferon-γ (IFN-γ) stimulated huma immortalized epidermal (HaCaT) cells. The anti-itch effect of osthole was specifically assessed in the AD mouse model. Using methods such as hematoxylin and eosin (HE) staining, enzyme-linked immunosorbent assay (ELISA), western blot (WB), quantitative real-time PCR (qRT-PCR), and immunofluorescence staining. RESULTS: Osthole improved skin damage and clinical dermatitis scores, reduced scratching bouts, and decreased epidermal thickness AD-like mice. It also reduced the levels of interleukin (IL)-31 and IL-31 receptor A (IL-31 RA) in both skin tissues and HaCaT cells. Furthermore, Osthole suppressed the protein expression levels of phosphor-p65 (p-p65) and phosphor-inhibitor of nuclear factor kappa-Bα (p-IκBα). Meanwhile, it increased the protein expression levels of peroxisome proliferator-activated receptor α (PPARα) and PPARγ in HaCaT cells. CONCLUSION These findings indicated that osthole effectively inhibited CP in AD by activating PPARα, PPARγ, repressing the NF-κB signaling pathway, as well as the expression of IL-31 and IL-31 RA.

Objective To analyze Wu Zihui's medication rules for treating insomnia through data mining technology.Methods A total of 131 medical cases diagnosed with insomnia and admitted to the Outpatient Department of Wu Zihui at the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from June 2020 to March 2024 were sorted out.After standardizing the entered medical case data using the Gujin Medical Case Cloud Platform V2.3.9,statistical analysis,cluster analysis and complex network analysis of the prescription drugs were conducted respectively to summarize the experience of prescription drug use and the rules of formula composition.Results A total of 131 medical cases involved 143 traditional Chinese medicines.It was concluded that the properties were mainly cold and neutral,the flavors were mainly sweet and bitter,the meridians were mainly liver and heart meridians,and high-frequency drugs,Baishao Baizhu,Nyuzhenzi etc.Cluster analysis yielded 5 clustering prescriptions.Complex network analysis of traditional Chinese medicine syndrome types and drugs can result in two core traditional Chinese medicine prescriptions for insomnia syndrome.Conclusion In the treatment of insomnia,attention should be paid to the treatment of heart,liver,spleen and kidney.The treatment principle should be to relieve liver depression,clear heat and purge fire,nourish heart and calm the mind,and supplement spleen and kidney.

Objective:To evaluate the diagnostic performance of the Vesical Imaging-Reporting and Data System（VI-RADS）based on multiparametric magnetic resonance imaging（mp-MRI）for muscle-invasive bladder cancer（MIBC）.Methods:A systematic search was conducted in PubMed，Web of Science，and Embase databases for studies published between September 2018 and December 2023 that investigated the use of VI-RADS for diagnosing MIBC. Inclusion criteria were studies utilizing mp-MRI-based VI-RADS scoring to determine MIBC. Exclusion criteria were studies with fewer than 10 patients，overlapping study populations，or those failing to assess the diagnostic performance of VI-RADS for MIBC. After quality assessment，RevMan 5.4 and Stata 15.1 were used to calculate pooled sensitivity and specificity，generate forest plots and summary receiver operating characteristic（SROC）curves，and determine the area under the curve（AUC）. Publication bias was assessed using Deeks funnel plot. Heterogeneity was evaluated using the I2 statistic，with meta-regression and subgroup analyses to explore its sources. Results:Twenty-nine studies involving 3 577 patients were included. At a VI-RADS cutoff of 3，the pooled sensitivity and specificity for MIBC diagnosis were 93%（95%CI 0.90-0.95）and 82%（95%CI 0.76-0.88），respectively. At a cutoff of 4，these values were 83%（95%CI 0.78-0.87）and 93%（95%CI 0.90-0.95）. The hierarchical SROC（HSROC）AUCs were 0.95 and 0.94 for cutoffs of 3 and 4，respectively. Subgroup and meta-regression analyses revealed that at a cutoff of 3，patient sample size，study design，MRI field strength，number of radiologists，surgical approach，and DWI/DCE imaging planes contributed to sensitivity heterogeneity（ P < 0.05）. All factors except study design and DWI plane were sources of specificity heterogeneity（ P < 0.05）. At a cutoff of 4，all factors significantly influenced heterogeneity in both sensitivity and specificity（ P < 0.05）. Meta-regression confirmed that both cutoffs（3 and 4）were significant sources of heterogeneity（ P < 0.05）. Conclusions:VI-RADS demonstrates excellent diagnostic performance for MIBC at both cutoffs（3 and 4），with VI-RADS ≥ 3 showing superior sensitivity and VI-RADS ≥ 4 offering higher specificity. The cutoff of 3 provides better overall diagnostic efficacy.

Objective To evaluate the value of radiomics models and comprehensive models based on multiparametric magnetic resonance imaging(mpMRI)in predicting the expression of human epidermal growth factor receptor 2(HER2)in bladder cancer(BCa).Methods A total of 76 pathologically confirmed BCa patients undergoing pelvic mpMRI during Jan.2022 and Nov.2024 at the Affiliated Zhongda Hospital of Southeast University were retrospectively included.After the volume of interest(VOI)was sketched,7 modal features were obtained,including T2WI,DWI,DCE,T2WI+DWI,T2WI+DCE,DWI+DCE,and T2WI+DWI+DCE,which were analyzed with logistic regression to obtain the predictive values.After that,the best sequences were screened with receiver operating characteristic(ROC)curves,and then combined with support vector machine,logistic regression,K-nearest neighbor,plain Bayes and adaptive enhancement,to construct the radiomics prediction models.Logistic regression analysis was used to screen the predictors of high HER 2 expression and to construct a comprehensive prediction model and a nomogram.Finally,decision curve analysis(DCA)was used to quantify the clinical benefits.Results Among the radiomics models based on the T2WI+DWI+DCE sequence,the AdaBoost model demonstrated the best predictive performance,with area under the ROC curve(AUC)being 0.863(95％CI:0.807-0.920)in the training set and 0.716(95％CI:0.601-0.830)in the validation set.Based on radiomics features and clinical imaging characteristics,logistic regression analysis identified tumor pedicle and risk group as the predictors of high HER2 expression.The comprehensive prediction model based on the two factors achieved the AUC of 0.869(95％CI:0.772-0.965)in the training set and 0.875(95％CI:0.712-0.986)in the validation set.Conclusion The radiomics model based on the T2WI+DWI+DCE sequence has high accuracy in predicting HER2 expression,outperforming single-sequence models.The nomogram based on the comprehensive prediction model has high clinical decision-making efficacy and is useful for non-invasive identification of HER2 expression.

Objective To evaluate the value of radiomics models and comprehensive models based on multiparametric magnetic resonance imaging(mpMRI)in predicting the expression of human epidermal growth factor receptor 2(HER2)in bladder cancer(BCa).Methods A total of 76 pathologically confirmed BCa patients undergoing pelvic mpMRI during Jan.2022 and Nov.2024 at the Affiliated Zhongda Hospital of Southeast University were retrospectively included.After the volume of interest(VOI)was sketched,7 modal features were obtained,including T2WI,DWI,DCE,T2WI+DWI,T2WI+DCE,DWI+DCE,and T2WI+DWI+DCE,which were analyzed with logistic regression to obtain the predictive values.After that,the best sequences were screened with receiver operating characteristic(ROC)curves,and then combined with support vector machine,logistic regression,K-nearest neighbor,plain Bayes and adaptive enhancement,to construct the radiomics prediction models.Logistic regression analysis was used to screen the predictors of high HER 2 expression and to construct a comprehensive prediction model and a nomogram.Finally,decision curve analysis(DCA)was used to quantify the clinical benefits.Results Among the radiomics models based on the T2WI+DWI+DCE sequence,the AdaBoost model demonstrated the best predictive performance,with area under the ROC curve(AUC)being 0.863(95％CI:0.807-0.920)in the training set and 0.716(95％CI:0.601-0.830)in the validation set.Based on radiomics features and clinical imaging characteristics,logistic regression analysis identified tumor pedicle and risk group as the predictors of high HER2 expression.The comprehensive prediction model based on the two factors achieved the AUC of 0.869(95％CI:0.772-0.965)in the training set and 0.875(95％CI:0.712-0.986)in the validation set.Conclusion The radiomics model based on the T2WI+DWI+DCE sequence has high accuracy in predicting HER2 expression,outperforming single-sequence models.The nomogram based on the comprehensive prediction model has high clinical decision-making efficacy and is useful for non-invasive identification of HER2 expression.

Objective To analyze Wu Zihui's medication rules for treating insomnia through data mining technology.Methods A total of 131 medical cases diagnosed with insomnia and admitted to the Outpatient Department of Wu Zihui at the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from June 2020 to March 2024 were sorted out.After standardizing the entered medical case data using the Gujin Medical Case Cloud Platform V2.3.9,statistical analysis,cluster analysis and complex network analysis of the prescription drugs were conducted respectively to summarize the experience of prescription drug use and the rules of formula composition.Results A total of 131 medical cases involved 143 traditional Chinese medicines.It was concluded that the properties were mainly cold and neutral,the flavors were mainly sweet and bitter,the meridians were mainly liver and heart meridians,and high-frequency drugs,Baishao Baizhu,Nyuzhenzi etc.Cluster analysis yielded 5 clustering prescriptions.Complex network analysis of traditional Chinese medicine syndrome types and drugs can result in two core traditional Chinese medicine prescriptions for insomnia syndrome.Conclusion In the treatment of insomnia,attention should be paid to the treatment of heart,liver,spleen and kidney.The treatment principle should be to relieve liver depression,clear heat and purge fire,nourish heart and calm the mind,and supplement spleen and kidney.

Objective:To evaluate the diagnostic performance of the Vesical Imaging-Reporting and Data System（VI-RADS）based on multiparametric magnetic resonance imaging（mp-MRI）for muscle-invasive bladder cancer（MIBC）.Methods:A systematic search was conducted in PubMed，Web of Science，and Embase databases for studies published between September 2018 and December 2023 that investigated the use of VI-RADS for diagnosing MIBC. Inclusion criteria were studies utilizing mp-MRI-based VI-RADS scoring to determine MIBC. Exclusion criteria were studies with fewer than 10 patients，overlapping study populations，or those failing to assess the diagnostic performance of VI-RADS for MIBC. After quality assessment，RevMan 5.4 and Stata 15.1 were used to calculate pooled sensitivity and specificity，generate forest plots and summary receiver operating characteristic（SROC）curves，and determine the area under the curve（AUC）. Publication bias was assessed using Deeks funnel plot. Heterogeneity was evaluated using the I2 statistic，with meta-regression and subgroup analyses to explore its sources. Results:Twenty-nine studies involving 3 577 patients were included. At a VI-RADS cutoff of 3，the pooled sensitivity and specificity for MIBC diagnosis were 93%（95%CI 0.90-0.95）and 82%（95%CI 0.76-0.88），respectively. At a cutoff of 4，these values were 83%（95%CI 0.78-0.87）and 93%（95%CI 0.90-0.95）. The hierarchical SROC（HSROC）AUCs were 0.95 and 0.94 for cutoffs of 3 and 4，respectively. Subgroup and meta-regression analyses revealed that at a cutoff of 3，patient sample size，study design，MRI field strength，number of radiologists，surgical approach，and DWI/DCE imaging planes contributed to sensitivity heterogeneity（ P < 0.05）. All factors except study design and DWI plane were sources of specificity heterogeneity（ P < 0.05）. At a cutoff of 4，all factors significantly influenced heterogeneity in both sensitivity and specificity（ P < 0.05）. Meta-regression confirmed that both cutoffs（3 and 4）were significant sources of heterogeneity（ P < 0.05）. Conclusions:VI-RADS demonstrates excellent diagnostic performance for MIBC at both cutoffs（3 and 4），with VI-RADS ≥ 3 showing superior sensitivity and VI-RADS ≥ 4 offering higher specificity. The cutoff of 3 provides better overall diagnostic efficacy.

Objective To explore the clinical efficacy of edaravone dexborneol combined with intravenous thrombolysis with alteplase,in the treatment of patients with acute ischemic stroke(AIS).Methods The patients with AIS undergoing intravenous thrombolysis with alteplase between January 7,2021 and December 31,2022 were enrolled and randomly divided into observation group and control group.The control group was treated with standard treatment according to the AIS guidelines,and the observation group was treated with edaravone dexborneol injection within 48 hours from thrombolysis to the onset of the disease on the basis of the treatment in the control group.7-day post-thrombolysis National Institutes of Health stroke scale(NIHSS),discharged NIHSS,difference between 7-day post-thrombolysis NIHSS and pre-thrombolysis NIHSS,and 3-month all-cause mortality and 3-month poor prognosis ratio were compared between the two groups.Results A total of 232 patients with AIS were randomly allocated to the observation group(n=1 16)and the control group(n=1 16).The differences between the two groups were not statistically significant for 7-day post-thrombolysis NIHSS and difference between 7-day post-thrombolysis NIHSS and pre-thrombolysis NIHSS(P＞0.05),and there were statistical differences in distribution of the discharged NIHSS score between the observation group and control group[2.0(0,3.0)vs.2.0(1.0,5.0),P＜0.05].The 3-month poor prognosis ratio was significantly lower in the observation group than in the control group(12.1％vs.28.4％;OR=0.252,95％CI 0.105 to 0.602,P=0.002).Conclusion Edaravone dexborneol enhances the efficacy of AIS undergoing intravenous thrombolysis with alteplase and improves the 3-month outcome of patients.

Objective Evaluation of the efficacy of high-frequency repetitive transcranial magnetic stimulation for chronic disturbance of consciousness after severe craniocerebral injury based on magnetic resonance spectroscopy.Methods The clinical data of 106 patients with chronic disturbance of consciousness after severe craniocerebral injury from January 2018 to December 2022 were retrospectively analyzed,and they were divided into control group(conventional rehabilitation treatment)and observation group(high frequency repetitive transcranial magnetic stimulation treatment)by propensity score matching method(1∶1),with 53 cases in each group.Both groups were examined by magnetic resonance spectroscopy(MRS)before and after treatment.The brain metabolic indexes[N-acetyl aspartate(NAA)/creatine(Cr)value,choline complex(Cho)/Cr value],Glasgow coma scale(GCS)score,electroencephalogram(EEG)grading,coma recovery scale(CRS-R)score,brainstem auditory evoked potential(BAEP)grading,upper limb sensory evoked potential(SSEP)grading and Cerebral blood flow perfusion index[cerebral blood volume(CBV),mean transit time(MTT),cerebral blood flow(CBF)]were compared between the two groups.Results After treatment,the NAA/Cr values of the thalamus and brainstem in the two groups increased,while the Cho/Cr values decreased,and the levels of brain metabolic indexes in the observation group were signifi-cantly better than those in the control group(P<0.05).The two groups'GCS score and CRS-R score increased,and the improvement of the observation group was better than that of the control group(P<0.05).The BAEP grading,EEG grading,and SSEP grading of the two groups improved,and those of the observation group were better than the control group(P<0.05).The CBF and CBV of the two groups increased,and MTT decreased,and the level of cere-bral blood perfusion index in the observation group was better than that in the control group(P<0.05).Conclusion High frequency repetitive transcranial magnetic stimulation has a significant effect on the recovery of patients with chronic consciousness disorders after severe craniocerebral injury.The mechanism may be related to improving the blood flow velocity of brain tissue and metabolism in the brain.

The imbalance of microbiota is related to various diseases in the human body,and the gut,as the largest microbial habitat in the human body,is closely related to the oral microbial environment.The oral microbiota can migrate to the intestinal mucosa with the digestive system.At the same time,microbial transmission from the gut to the mouth can also occur through interpersonal and com-munity transmission.Microbial transmission between the mouth and intestines can shape or reshape the microbial ecosystem in the two habitats,ultimately regulating the pathogenesis of the disease.The dysbiosis of the oral-gut microbiota axis can have a significant impact on related diseases such as respiratory diseases.This article reviews the research status of the relationship between oral-gut microbes and respiratory diseases.