OBJECTIVE:Repetitive transcranial magnetic stimulation and transcranial direct current stimulation have shown positive effects in improving gross motor function in children with cerebral palsy.A network meta-analysis was performed to analyze the clinical efficacy of repetitive transcranial magnetic stimulation and transcranial direct current stimulation on the improvement of lower limb motor function and gait in children with cerebral palsy.METHODS:Randomized controlled trials(RCT)about repetitive transcranial magnetic stimulation and transcranial direct current stimulation on lower limb motor function and gait in children with cerebral palsy were collected from CNKI,WanFang,VIP,SinoMed,PubMed,Web of Science,Medline.The search time limit was from the inception to October 5,2024.After screening literature,extracting data and evaluating the risk of bias of included studies,Stata 15.0 software was used for network meta-analysis,AND GRADE profiler was used for quality evaluation.RESULTS:A total of 19 studies were included,involving 4 treatment measures:conventional therapy,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation and anodic transcranial direct current stimulation.The results of network meta-analysis showed that in terms of improving gross motor function,low-frequency repetitive transcranial magnetic stimulation[mean difference(MD)=9.48,95％confidence interval(CI)(6.61,12.34),P＜0.05]was the most effective.In terms of alleviating spasticity,high-frequency repetitive transcranial magnetic stimulation[MD=-0.63,95％CI(-1.72,0.45),P＜0.05]had the best efficacy.In terms of improving ankle joint range of motion and step speed,transcranial direct current stimulation[MD=2.27,95％CI(1.37,3.17),P＜0.05;MD=0.11,95％CI(0.05,0.17),P＜0.05]was the most effective.CONCLUSION:Existing clinical evidence suggests that low-frequency repetitive transcranial magnetic stimulation has the best therapeutic effect compared with other intervention measures in terms of improving lower limb gross motor function.In terms of reducing spasticity,high-frequency repetitive transcranial magnetic stimulation has a more significant effect.In terms of improving gait,transcranial direct current stimulation has more advantages.

OBJECTIVE:Repetitive transcranial magnetic stimulation and transcranial direct current stimulation have shown positive effects in improving gross motor function in children with cerebral palsy.A network meta-analysis was performed to analyze the clinical efficacy of repetitive transcranial magnetic stimulation and transcranial direct current stimulation on the improvement of lower limb motor function and gait in children with cerebral palsy.METHODS:Randomized controlled trials(RCT)about repetitive transcranial magnetic stimulation and transcranial direct current stimulation on lower limb motor function and gait in children with cerebral palsy were collected from CNKI,WanFang,VIP,SinoMed,PubMed,Web of Science,Medline.The search time limit was from the inception to October 5,2024.After screening literature,extracting data and evaluating the risk of bias of included studies,Stata 15.0 software was used for network meta-analysis,AND GRADE profiler was used for quality evaluation.RESULTS:A total of 19 studies were included,involving 4 treatment measures:conventional therapy,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation and anodic transcranial direct current stimulation.The results of network meta-analysis showed that in terms of improving gross motor function,low-frequency repetitive transcranial magnetic stimulation[mean difference(MD)=9.48,95％confidence interval(CI)(6.61,12.34),P＜0.05]was the most effective.In terms of alleviating spasticity,high-frequency repetitive transcranial magnetic stimulation[MD=-0.63,95％CI(-1.72,0.45),P＜0.05]had the best efficacy.In terms of improving ankle joint range of motion and step speed,transcranial direct current stimulation[MD=2.27,95％CI(1.37,3.17),P＜0.05;MD=0.11,95％CI(0.05,0.17),P＜0.05]was the most effective.CONCLUSION:Existing clinical evidence suggests that low-frequency repetitive transcranial magnetic stimulation has the best therapeutic effect compared with other intervention measures in terms of improving lower limb gross motor function.In terms of reducing spasticity,high-frequency repetitive transcranial magnetic stimulation has a more significant effect.In terms of improving gait,transcranial direct current stimulation has more advantages.

Mastitis is one of the common and prevalent diseases in dairy cows,and the natural prod-uct daidzein is a kind of natural flavonoids with a wide range of pharmacological and anti-inflam-matory effects.However,the effect of daidzein on mastitis in dairy cows has not been reported.Therefore,in this study,we explored the effects of daidzein on LPS-induced inflammatory response and tight junction damage in dairy mammary epithelial cells Firstly,we pretreated the MAC-T cell line using different concentrations of daidzein,and it was clarified that daidzein below 200 μmol/L had no effect on the cell activity.Next,we examined the production of pro-inflammatory mediators in LPS-stimulated MAC-T cell lines using qRT-PCR,and clarified that daidzein could reduce the production of pro-inflammatory mediators in a concentration-dependent manner.Subsequently,af-ter the expression of Occludin,Claudin3 and ZO-1 was detected by immunofluorescence and West-ern Blot,it was clear that daidzein could alleviate MAC-T cell intercellular tight junction injury.Fi-nally,it was demonstrated that daidzein significantly inhibited LPS-induced activation of the NF-κB signaling pathway within MAC-T using network pharmacological analysis and Western Blot.The above results suggest that daidzein can inhibit LPS-induced inflammatory response and tight junc-tion damage in mammary epithelial cells of cows by suppressing the activation of NF-κB signaling pathway.The present study provides a theoretical basis for the alleviation of mastitis by natural products and further expands the pharmacological effects of daidzein.

BACKGROUND: Chronic kidney disease (CKD) poses a major global health challenge, often foreshadowing poor patient outcomes. The C-reactive protein to albumin ratio (CAR) serves as a pivotal biomarker, demonstrating a strong correlation with adverse outcomes in cardiovascular disease (CVD). This study sought to examine the correlation between CAR and the risk of all-cause and cardiovascular mortality in patients with CKD stages 3-5. METHODS: This study utilized data of CKD patients from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010, with follow-up to December 31, 2019. The optimal CAR cutoff value was identified utilizing the method of maximally selected rank statistics. Multivariable Cox proportional hazards regression model, restricted cubic splines (RCS) model, and subgroup analysis were employed to assess the association between CAR and mortality among CKD patients. RESULTS: During a median (with interquartile range) follow-up period of 115 (112,117) months among 2,841 CKD individuals, 1,893 deaths were observed, including 692 deaths due to CVD events. Based on the RCS analysis, a non-linear correlation was observed between CAR and mortality. Using 0.3 as the optimal CAR cutoff value, the cohort was divided into high and low groups. In the fully adjusted model, CKD patients with high CAR values exhibited an elevated risk of all-cause mortality (hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.28-1.83, P < 0.001) and cardiovascular mortality (HR 1.48, 95% CI 1.08-2.02, P = 0.014). Compared to the population aged >65 years (HR 1.32, 95% CI 0.99-1.76, P = 0.064), the risk of cardiovascular mortality was significantly higher in those aged ≤65 years (HR 2.19, 95% CI 1.18-4.09, P = 0.014) with elevated CAR levels. CONCLUSIONS A notable correlation exists between the elevation of CAR and increased all-cause and cardiovascular mortality, suggesting its potential as an independent indicator for evaluating the prognosis of patients with CKD stages 3-5.
Humans ; Renal Insufficiency, Chronic/epidemiology* ; Cardiovascular Diseases/blood* ; Male ; Female ; Middle Aged ; C-Reactive Protein/metabolism* ; Aged ; Biomarkers/blood* ; Nutrition Surveys ; Adult ; United States/epidemiology* ; Serum Albumin/analysis*

Mastitis is one of the common and prevalent diseases in dairy cows,and the natural prod-uct daidzein is a kind of natural flavonoids with a wide range of pharmacological and anti-inflam-matory effects.However,the effect of daidzein on mastitis in dairy cows has not been reported.Therefore,in this study,we explored the effects of daidzein on LPS-induced inflammatory response and tight junction damage in dairy mammary epithelial cells Firstly,we pretreated the MAC-T cell line using different concentrations of daidzein,and it was clarified that daidzein below 200 μmol/L had no effect on the cell activity.Next,we examined the production of pro-inflammatory mediators in LPS-stimulated MAC-T cell lines using qRT-PCR,and clarified that daidzein could reduce the production of pro-inflammatory mediators in a concentration-dependent manner.Subsequently,af-ter the expression of Occludin,Claudin3 and ZO-1 was detected by immunofluorescence and West-ern Blot,it was clear that daidzein could alleviate MAC-T cell intercellular tight junction injury.Fi-nally,it was demonstrated that daidzein significantly inhibited LPS-induced activation of the NF-κB signaling pathway within MAC-T using network pharmacological analysis and Western Blot.The above results suggest that daidzein can inhibit LPS-induced inflammatory response and tight junc-tion damage in mammary epithelial cells of cows by suppressing the activation of NF-κB signaling pathway.The present study provides a theoretical basis for the alleviation of mastitis by natural products and further expands the pharmacological effects of daidzein.

Objective To analyze the current status and hotspots of domestic research on traditional Chinese medicine(TCM)in treating chronic refractory wounds(CRW)over the past 10 years using bibliometric and visualized analysis methods.Methods Articles about TCM therapy for CRW issued by the core periodicals in recent 10 years were retrieved from CNKI,Wanfang and VIP databases.The parameters of annual issued papers,authors,institutions and keywords of the articles were counted with the bibliometric methods.And then the statistical results were presented as visualized graphs by using VOSviewer and CiteSpace software.Results A total of 404 articles were included in the study,and 313 institutions and 1 340 scholars participated in the research on the treatment of CRW with TCM.However,there was limited collaboration between the authors and institutions.Research hotspots mainly focused on the efficacy of TCM external therapies for diabetic foot and pressure ulcers,and discussions on syndrome differentiation,treatment principles and methods about internal treatment by various medical experts.The development and application of Chinese patent medicines,exploration of TCM medication patterns,and the evidence-based medical research on TCM are future research trends in the treatment of CRW with TCM.Conclusion Research on TCM treatment of CRW has attracted significant attention in recent years,but academic barriers exist between the authors and institutions.In the future,it is necessary to promote multicenter research collaboration,strengthen the exploration of experiences in acupoint selection,and conduct higher-level research,thus to provide more compelling evidence and enhance the efficacy of TCM in treating CRW.

Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn's disease (CD), is a chronic immune-mediated disease with uncertain causes. Malnutrition in IBD patients, attributed to factors such as inadequate intake, increased consumption, poor absorption, and bacterial overgrowth in the small intestine, poses a prevalence of 23%–50%, elevating the risk of readmission and mortality while diminishing quality of life. Therefore, urgent implementation of personalized dietary interventions is crucial for enhancing adherence and rectifying malnutrition in IBD patients.

Objective:To develop a deep learning-based automated analysis system for precise segmentation of the optic cup and disc in fundus images and automatic measurement of the vertical cup-to-disc ratio (CDR) for early risk assessment and screening of chronic glaucoma.Methods:The proposed automated system comprised three modules: a dual coding-attention U-net (DCoAtUNet) segmentation network for optic cup and disc segmentation, a conditional random field (CRF) post-processing module, and a CDR measurement and glaucoma screening module based on the segmentation results.The system was designed to enhance boundary detection accuracy and measurement stability and its performance was evaluated on the publicly available Drishti-GS dataset.The dataset was divided into a training set and a test set in a 1∶1 ratio.Dice coefficient and intersection over union (IoU) were used to quantify segmentation accuracy and regional consistency, while accaracy, precision, recall, and F1-score were employed to assess glaucoma screening performance.Results:The DCoAtUNet combined with CRF post-processing achieved Dice coefficients of 0.976 0 for the optic disc and 0.908 1 for the optic cup, with corresponding IoU values of 0.953 4 and 0.837 9, demonstrating high segmentation precision and stability in boundary identification and region overlap.In glaucoma screening, the system achieved an accuracy of 0.843 1, precision of 0.840 9, recall of 0.973 7, and F1-score of 0.902 4, indicating good diagnostic sensitivity and accuracy.Conclusions:By integrating high-precision segmentation and automated measurement strategies, the DCoAtUNet+ CRF model significantly improves the accuracy and stability of CDR evaluation.It effectively assists in identifying high-risk individuals during early glaucoma screening and shows strong potential for clinical application in computer-aided diagnosis workflows.

Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn's disease (CD), is a chronic immune-mediated disease with uncertain causes. Malnutrition in IBD patients, attributed to factors such as inadequate intake, increased consumption, poor absorption, and bacterial overgrowth in the small intestine, poses a prevalence of 23%–50%, elevating the risk of readmission and mortality while diminishing quality of life. Therefore, urgent implementation of personalized dietary interventions is crucial for enhancing adherence and rectifying malnutrition in IBD patients.

Objective:To develop a deep learning-based automated analysis system for precise segmentation of the optic cup and disc in fundus images and automatic measurement of the vertical cup-to-disc ratio (CDR) for early risk assessment and screening of chronic glaucoma.Methods:The proposed automated system comprised three modules: a dual coding-attention U-net (DCoAtUNet) segmentation network for optic cup and disc segmentation, a conditional random field (CRF) post-processing module, and a CDR measurement and glaucoma screening module based on the segmentation results.The system was designed to enhance boundary detection accuracy and measurement stability and its performance was evaluated on the publicly available Drishti-GS dataset.The dataset was divided into a training set and a test set in a 1∶1 ratio.Dice coefficient and intersection over union (IoU) were used to quantify segmentation accuracy and regional consistency, while accaracy, precision, recall, and F1-score were employed to assess glaucoma screening performance.Results:The DCoAtUNet combined with CRF post-processing achieved Dice coefficients of 0.976 0 for the optic disc and 0.908 1 for the optic cup, with corresponding IoU values of 0.953 4 and 0.837 9, demonstrating high segmentation precision and stability in boundary identification and region overlap.In glaucoma screening, the system achieved an accuracy of 0.843 1, precision of 0.840 9, recall of 0.973 7, and F1-score of 0.902 4, indicating good diagnostic sensitivity and accuracy.Conclusions:By integrating high-precision segmentation and automated measurement strategies, the DCoAtUNet+ CRF model significantly improves the accuracy and stability of CDR evaluation.It effectively assists in identifying high-risk individuals during early glaucoma screening and shows strong potential for clinical application in computer-aided diagnosis workflows.