Juvenile idiopathic arthritis (JIA) is the most common condition of chronic rheumatic disease in children. JIA is an autoimmune or autoinflammatory disease, with unclear mechanism and limited treatment efficacy. Recent studies have found a number of alterations in gut microbiota and its metabolites in children with JIA, which are related to the development and progression of JIA. This review focuses on the influence of the gut microbiota and its metabolites on immune function and the intestinal mucosal barrier and discuss the key role of the gut-joint axis in the pathogenesis of JIA and emerging treatment methods based on gut microbiota and its metabolites. This review could help elucidate the pathogenesis of JIA and identify the potential therapeutic targets for the prevention and treatment of JIA.
Humans ; Arthritis, Juvenile/physiopathology* ; Gastrointestinal Microbiome/physiology* ; Child ; Intestinal Mucosa

To facilitate the early intelligent screening of pediatric genu valgum, this study develops a deep learning-based gait recognition model tailored for clinical application. The model is constructed upon a three-dimensional residual network architecture and incorporates a triplet attention module alongside a spatial hierarchical pooling module, jointly enhancing feature interaction across temporal, spatial, and channel dimensions. This design ensures an optimal balance between representational capacity and computational efficiency. Evaluated on a self-constructed dataset, the model achieves precision of 98.0%, 97.1%, and 96.5%, recall rates of 97.5%, 97.0%, and 95.0%, and F ₁-scores of 0.98, 0.97, and 0.96 on the training, validation, and test sets, respectively, demonstrating excellent recognition performance and strong generalization ability. Ablation experiments confirm the importance of the proposed model's core components in improving performance, and comparative experiments further highlight its significant advantages in recognition accuracy and robustness. Visualization experiments reveal that the model effectively focuses on key regions of gait images, with attention regions aligning closely with clinical anatomical landmarks, thereby enhancing the interpretability of the model's decision-making in clinical applications. In summary, the proposed model not only offers an efficient and reliable technical solution for early intelligent screening of genu valgum in children, but also provides a practical pathway for applying gait recognition technology in medical diagnosis.
Humans ; Gait ; Deep Learning ; Genu Valgum/physiopathology* ; Child ; Neural Networks, Computer ; Algorithms

OBJECTIVE: To assess the cardioprotective effect and impact of Qishen Granules (QSG) on different ischemic areas of the myocardium in heart failure (HF) rats by evaluating its metabolic pattern, substrate utilization, and mechanistic modulation. METHODS: In vivo, echocardiography and histology were used to assess rat cardiac function; positron emission tomography was performed to assess the abundance of glucose metabolism in the ischemic border and remote areas of the heart; fatty acid metabolism and ATP production levels were assessed by hematologic and biochemical analyses. The above experiments evaluated the cardioprotective effect of QSG on left anterior descending ligation-induced HF in rats and the mode of energy metabolism modulation. In vitro, a hypoxia-induced H9C2 model was established, mitochondrial damage was evaluated by flow cytometry, and nuclear translocation of hypoxia-inducible factor-1 α (HIF-1 α) was observed by immunofluorescence to assess the mechanism of energy metabolism regulation by QSG in hypoxic and normoxia conditions. RESULTS: QSG regulated the pattern of glucose and fatty acid metabolism in the border and remote areas of the heart via the HIF-1 α pathway, and improved cardiac function in HF rats. Specifically, QSG promoted HIF-1 α expression and entry into the nucleus at high levels of hypoxia (P<0.05), thereby promoting increased compensatory glucose metabolism; while reducing nuclear accumulation of HIF-1 α at relatively low levels of hypoxia (P<0.05), promoting the increased lipid metabolism. CONCLUSIONS QSG regulates the protein stability of HIF-1 α, thereby coordinating energy supply balance between the ischemic border and remote areas of the myocardium. This alleviates the energy metabolism disorder caused by ischemic injury.
Animals ; Myocardial Infarction/physiopathology* ; Male ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Rats, Sprague-Dawley ; Glucose/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Energy Metabolism/drug effects* ; Rats ; Fatty Acids/metabolism* ; Myocardium/pathology*

Readiness for Hospital Discharge(RHD)refers to a multidimensional assessment of a patient's ability to transition safely from hospital to home,encompassing physiological stability,psychological preparedness,and social support adequacy.For patients requiring Home Nutrition Support(HNS),discharge readiness is particularly critical due to their heightened need for post-discharge specialized care,which significantly influences long-term recovery and quality of life.This paper reviews the concept,influencing factors,and unmet needs of RHD in patients with HNS and proposes targeted strategies to enhance discharge preparedness.By addressing gaps in current practices,we aim to optimize RHD in this vulnerable population and provide clinicians with evidence-based guidance for developing effective discharge plans.

Objective To develop a machine learning-based risk prediction model for postoperative acute kidney injury(AKI)and a model for mortality in obese patients admitted to intensive care unit(ICU)in order to improve early warning and prognostic evaluation to support clinical decision-making.Methods Data of obese postoperative ICU patients were retrospectively retrieved from the MIMIC-Ⅳ and eICU databases for statistical analysis.Ultimately,2 520 patients(670 from MIMIC-Ⅳ and 1 850 from eICU databases)were included to build the risk prediction models for AKI and mortality.The data included demographic information,vital signs,laboratory findings,surgical types,comorbidities,and medication use.After data cleaning and preprocessing,Boruta feature selection was applied,followed by the construction of prediction models using 7 machine learning algorithms,that is,Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),k-Nearest Neighbors(KNN),Na?ve Bayes(NB),Neural Network(NNET),Support Vector Machine(SVM),and XGBoost.Model performance was evaluated through cross-validation and external validation.Results In the risk prediction models of AKI,the SVM model achieved the highest AUC value of 0.80 in the testing set and 0.71 in the external validation test.For the risk prediction models of mortality,the GBM model outperformed others in the prediction,attaining an AUC value of 0.91 in the testing set.Conclusion Risk predictive models for postoperative AKI and mortality in obese ICU patients are successfully constructed,and are valuable tools for clinicians to optimize early intervention and improve clinical outcomes for the patients.

Chrysophanol(Chr)and physcion(Phy)are primary active ingredients of a well-known traditional Chinese medicine namely rhubarb(Chinese name:Dahuang),and their glucuronides have been revealed as the dominant forms presenting in rats after oral administration.Either Chr or Phy has two glycosylation sites,resulting in a pair of positional isomers for glucuronides of either compound(CG1&CG2 and PG1&PG2).To confirmatively identify these glucuronides,energy-resolved mass spectrometry(ER-MS)was used to pursue the fragmentation trajectories of the targeted fragment ions,and the resultant breakdown graphs that were described by the optimal collision energy(OCE)were expected to exhibit the differences of glycosidic bond cleavage between the isomers.Quantum chemical calculation was thereafter conducted to produce the bond dissociation energy(BDE)of the glycosidic bonds.The isomers were unambiguously identified through applying the positive correlation rule between OCE and BDE.Fortunately,the glucuronides of Chr and Phy in vivo were observed through liver microsomes incubationin vitro.ER-MS was utilized to collect the Gaussian-shaped breakdown graphs in response to the neutral loss of 176 Da,and the absolute values of OCE were compared between positional isomers.The results revealed that CG1(-32.31 eV)>CG2(-31.61 eV),and nonetheless,PG1(-30.00 eV)Chr-8-GluA(-48.787 kJ/mol),and nonetheless,Phy-1-GluA(-48.672 kJ/mol)

Objective:To investigate the predictive value of three-dimensional arterial spin labeling (3D-ASL) for posterior circulation ischemia (PCI) and posterior circulation stroke (PCS) in patients with isolated vertigo.Methods:Patients with isolated vertigo underwent 3D-ASL imaging at Drum Tower Hospital Affiliated to Nanjing University School of Medicine from January 1, 2022 to December 31, 2024 were included retrospectively. According to the imaging findings, the patients with isolated vertigo were divided into PCI group and non-PCI group. The PCI group was further divided into PCS group and non-PCS group. The baseline clinical data and laboratory examination data were collected. Cerebral blood flow (CBF) in different brain regions of the posterior circulation was obtained through 3D-ASL related parameters to evaluate the posterior circulation perfusion, including CBF at two post-labeling delay times (PLD) (1.5 s and 2.5 s), delayed perfusion CBF (ΔCBF), multisequence PLD (Multi-PLD) CBF, and CBF under arterial transit time (ATT). Multivariate logistic regression analysis was used to determine the association of different CBF values with PCI and PCS in patients with isolated vertigo. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of different CBF values for PCI and PCS. Results:A total of 81 patients with isolated vertigo were included, aged 63.0±12.1 years, 44 were males (54.3%); 58 (71.6%) had PCI and 27 (25.9%) had PCS. Multivariate logistic regression analysis showed that PLD 1.5 s-CBF (odds ratio [ OR] 1.372, 95% confidence interval [ CI] 1.169-1.611; P<0.001), ΔCBF ( OR 1.197, 95% CI 1.072-1.336; P=0.001), and Multi-PLD-CBF ( OR 2.099, 95% CI 1.257-3.504; P=0.005) were the independent predictive factors of PCI. ROC curve analysis showed that the area under the curve for predicting PCI using the above three parameters alone and in combination were 0.962 (95% CI 0.915-1.000), 0.683 (95% CI 0.543-0.823), 0.944 (95% CI 0.985-1.000), and 0.999 (95% CI 0.997-1.000), respectively. Multivariate logistic regression analysis showed that the PLD 1.5 s-CBF ( OR 1.246, 95% CI 1.030-2.089; P=0.002), ΔCBF ( OR 1.153, 95% CI 1.038-1.281; P=0.008), and multi-PLD-CBF ( OR 1.388, 95% CI 1.219-1.689; P=0.001) in cerebellar region were the independent predictors of PCS. ROC curve analysis showed that the area under the curve for predicting PCS using the above three parameters alone and in combination were 0.956 (95% CI 0.911-1.00), 0.802 (95% CI 0.685-0.920), 0.972 (95% CI 0.923-1.000), and 0.977 (95% CI 0.937-1.00), respectively. Conclusion:3D-ASL can predict PCI and PCS early, and combining multiple parameters can improve the predictive ability for PCI and PCS.

Objective To analyze the hotspots and frontiers of researches related to exercise intervention for spinal curvature abnor-malities in children and adolescents. Methods Articles related to exercise intervention for spinal curvature abnormalities in children and adolescents were re-trieved from CNKI and Web of Science Core Collection,from January,2014 to December,2023.The literatures were analyzed wtih CiteSapce 6.2.R3 in terms of disciplines,countries,institutes and keywords. Results A total of 233 articles were retrived,including 71 articles in Chinese and 162 articles in English.The annual pub-lication volume was on the rise.China was the country with the highest number of publications.South Korea was seen a sudden increase in recent literature.For Chinese,the institutions with the largest number of publication were the Department of Health and Exercise Science in Tianjin University of Sport and Luoyang Orthopedic-Traumatological Hospital of Henan Province(Henan Provincial Orthopedic Hospital).While the institutions with the largest number of publication in English were Marmara University and Hong Kong Polytechnic University.The English literatures covered a wide range of disciplines,including clinical medicine,sports medicine,neurolo-gy and psychology.Common high-frequency keywords in both Chinese and English literatures were idiopathic scoliosis,Cobb's angle and Schroth exercise.The latest bursting words included physical health in Chinese,and health-related quality of life and respiratory muscle strength in English. Conclusion The research popularity related to exercise intervention for spinal curvature abnormality in children and ado-lescents is generally on the rise.The research hotspots focus on four main areas:disease,quality of life,research advances and clinical treatment.More attention should be paid to the effect and dosage of exercise intervention on the respiratory function,as well as the effect of Chinese medicine exercise therapy on pediatric patients with abnormal spinal curvature diseases.Future work should focus on constructing an evidence-based Chinese/West-ern medicine exercise prevention and treatment system in the context of China's national conditions,advancing high-quality randomized controlled trials,strengthening interdisciplinary and international collaborations,and fo-cusing on the development and evaluation of personalized exercise intervention programs.

ObjectiveTo investigate the possible mechanism of electroacupuncture at "Neiguan" （PC6） and "Zhongwan" （RN12） in the treatment of functional dyspepsia （FD）. MethodsSPF male SD rats were randomly divided into model group， Neiguan （PC6） group， Zhongwan （RN12） group， and Neiguan-Zhongwan （PC6-RN12） group， with 8 rats in each group. Except for the normal group， the other groups of rats were cogavaged with 0.1% sucrose iodoacetamide solution combined with small platform standing training to establish FD rat models. After successful modeling， the rats in the normal group and model group were tied up for 30 min/d for 7 days； the Neiguan group， Zhongwan group， and Neiguan-Zhongwan group were treated with electroacupuncture intervention at "Neiguan" （PC6）， "Zhongwan" （RN12）， and "Neiguan" - "Zhongwan" （PC6-RN12） acupoints， respectively， using continuous wave， frequency of 2 Hz， current intensity of 1 mA， 30 min/d， and continuous intervention for 7 days. The general condition of rats in each group was observed. After treatment， the body weight and food intake of rats were measured， and the gastric emptying rate was calculated； HE staining was performed on the gastric antrum tissue of rats to observe the histopathologic changes； the expressions of calcitonin gene-related peptide （CGRP） and Ghrelin protein in gastric antrum were detected by Western Blot； the metabolites in gastric antrum tissues were detected by liquid chromatography-mass spectrometry （LC-MS）， and differential metabolites were screened by correlation analysis， then Metabo Analyst 5.0 and KEGG databases were used for metabolic pathway analysis. ResultsUnder light microscope， the gastric antrum structure was complete and the glands were abundant. No obvious inflammation and edema were found in gastric mucosa. Compared with the normal group， the body weight， food intake， and gastric emptie rate of rats in model group decreased， the expression of Ghrelin protein decreased and the expression of CGRP protein increased in gastric antrum tissue （P＜0.01）. Compared with model group， the body weight， food intake， and gastric emptance rate of rats in Neiguan group， Zhongwan group and Neiguan-Zhongwan group all increased， CGRP protein expression decreased in Neiguan group， and Ghrelin protein expression increased and CGRP protein expression decreased in Zhongwan group and Neiguan-Zhongwan group （P＜0.01 or P＜0.05）. Compared with Neiguan-Zhongwan group， Ghrelin protein expression decreased and CGRP protein expression increased in Neiguan group and Zhongwan group （P＜0.05 or P＜0.01）. Metabolomics results showed that compared with normal group， the content of metabolites adenosine diphosphate ribose， adenosine monophosphate and adenosine diphosphate in gastric antrum tissue of model group decreased； compared with model group， the contents of adenosine diphosphate， adenosine diphosphate and citicoline in Neiguan group increased， the contents of nicotine adenine dinucleotide， cytidine diphosphate ethanolamine and citicoline in Zhongwan group increased， and the contents of adenosine diphosphate， cytidine diphosphate and citicoline in Neiguan-Zhongwan group increased （P＜0.05 or P＜0.01）. Compared with model group， the main metabolic pathways of different metabolites in PC6-RN12 group were glycerophospholipid metabolism， taurine and hypotaurine metabolism， purine metabolism， starch and sucrose metabolism. ConclusionElectroacupuncture at “Neiguan” and “Zhongwan” acupoints can effectively regulate gastrointestinal motility and improve FD symptoms in FD rats， and the effect is better than that of "Neiguan" or "Zhongwan" acupoints alone. The mechanism may be related to the influence of related metabolites on energy metabolism， glucose metabolism and nucleotide metabolism， thereby regulating gastrointestinal motility hormones.

The methodological framework for interventional clinical research of Chinese medicine （CM） under the research mode of syndrome dominating disease provides a set of technical principles and methods to design， evaluate， and implement of this kind. It consists of three main parts including general principles， research points and key design elements， with a total of 25 items. This methodological framework proposes implementing requirements and recommendations in a variety of aspects， including basic norms to be followed in relevant studies， perspectives for selecting research topics， as well as the technological details on study population （P）， intervention （I） and comparison（C）， outcome measurement （O）， time frame （T） of treatment and follow-up， sample orientation （prospective versus retrospective）， study design （S） format and type. To provide practical guidance for future studies， this article clearly explains each items of the methodological framework through some supportive cases.