BACKGROUND:Pediatric flexible flatfoot is a common foot deformity that often leads to foot pain and reduced quality of life.OBJECTIVE:To explore the relationship between radiographic parameters and clinical efficacy of subtalar arthroereisis in the treatment of pediatric flexible flatfoot.METHODS:A retrospective study was conducted on 56 pediatric patients(mean age of 11.8 years)who underwent subtalar arthroereisis at Guangzhou Orthopedic Hospital between January 2022 and May 2023.All patients underwent detailed radiographic examinations and clinical evaluations before and after surgery,including the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot score and Visual Analog Scale score.Paired t-tests and independent t-tests were used to compare changes in radiographic parameters and clinical scores before and after surgery.Correlation analyses were conducted to evaluate the relationship between radiographic parameters and clinical outcomes.RESULTS AND CONCLUSION:(1)All radiographic parameters significantly improved during the 8 to 12-month follow-up after surgery(P＜0.001).(2)Clinical evaluation results indicated that the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot score significantly improved from 66.2±6.0 preoperatively to 91.3±5.8 postoperatively,and the Visual Analog Scale score significantly decreased from 3.1±0.8 preoperatively to 1.3±0.8 postoperatively(P＜0.001).(3)Independent t-tests showed a significant difference in postoperative the first metatarsal angle and Visual Analog Scale score grades(P=0.043),with a smaller the first metatarsal angle associated with less postoperative pain;preoperative lateral arch angle showed a significant difference between the"excellent"and"good"groups in postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot scores(P=0.033),suggesting that a smaller preoperative posterior arch angle might predict better postoperative foot function recovery.(4)Correlation analysis showed that preoperative posterior arch angle(r=-0.486,P＜0.01)and heel pitch angle(r=-0.344,P＜0.01)were significantly negatively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot,while preoperative medial longitudinal arch angle(r=0.293,P＜0.05)was significantly positively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot.Postoperative medial longitudinal arch angle(r=0.331,P＜0.05)and lateral arch angle(r=0.387,P＜0.01)were significantly positively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot,whereas postoperative Bohler's angle(r=-0.272,P＜0.05),posterior arch angle(r=-0.461,P＜0.01),and heel pitch angle(r=-0.318,P＜0.01)were significantly negatively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot.(5)It is concluded that subtalar arthroereisis is significantly effective in correcting pediatric flexible flatfoot,and improvements in radiographic parameters are closely related to clinical efficacy.Preoperative and postoperative radiographic evaluations can serve as important reference indicators for predicting postoperative clinical outcomes,guiding clinicians to optimize treatment plansand rehabilitation programs.

BACKGROUND:Pediatric flexible flatfoot is a common foot deformity that often leads to foot pain and reduced quality of life.OBJECTIVE:To explore the relationship between radiographic parameters and clinical efficacy of subtalar arthroereisis in the treatment of pediatric flexible flatfoot.METHODS:A retrospective study was conducted on 56 pediatric patients(mean age of 11.8 years)who underwent subtalar arthroereisis at Guangzhou Orthopedic Hospital between January 2022 and May 2023.All patients underwent detailed radiographic examinations and clinical evaluations before and after surgery,including the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot score and Visual Analog Scale score.Paired t-tests and independent t-tests were used to compare changes in radiographic parameters and clinical scores before and after surgery.Correlation analyses were conducted to evaluate the relationship between radiographic parameters and clinical outcomes.RESULTS AND CONCLUSION:(1)All radiographic parameters significantly improved during the 8 to 12-month follow-up after surgery(P＜0.001).(2)Clinical evaluation results indicated that the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot score significantly improved from 66.2±6.0 preoperatively to 91.3±5.8 postoperatively,and the Visual Analog Scale score significantly decreased from 3.1±0.8 preoperatively to 1.3±0.8 postoperatively(P＜0.001).(3)Independent t-tests showed a significant difference in postoperative the first metatarsal angle and Visual Analog Scale score grades(P=0.043),with a smaller the first metatarsal angle associated with less postoperative pain;preoperative lateral arch angle showed a significant difference between the"excellent"and"good"groups in postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot scores(P=0.033),suggesting that a smaller preoperative posterior arch angle might predict better postoperative foot function recovery.(4)Correlation analysis showed that preoperative posterior arch angle(r=-0.486,P＜0.01)and heel pitch angle(r=-0.344,P＜0.01)were significantly negatively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot,while preoperative medial longitudinal arch angle(r=0.293,P＜0.05)was significantly positively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot.Postoperative medial longitudinal arch angle(r=0.331,P＜0.05)and lateral arch angle(r=0.387,P＜0.01)were significantly positively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot,whereas postoperative Bohler's angle(r=-0.272,P＜0.05),posterior arch angle(r=-0.461,P＜0.01),and heel pitch angle(r=-0.318,P＜0.01)were significantly negatively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot.(5)It is concluded that subtalar arthroereisis is significantly effective in correcting pediatric flexible flatfoot,and improvements in radiographic parameters are closely related to clinical efficacy.Preoperative and postoperative radiographic evaluations can serve as important reference indicators for predicting postoperative clinical outcomes,guiding clinicians to optimize treatment plansand rehabilitation programs.

Objective To investigate the predictive value of D-dimer for in-hospital mortality and heart failure with reduced ejection fraction (HFrEF) in patients with acute myocardial infarction (AMI). Methods A total of 688 patients with AMI who were hospitalized at Zhongshan Hospital, Fudan University, from January 2020 to December 2023 were retrospectively enrolled. Demographic and clinical characteristics, laboratory findings, echocardiographic parameters, and in-hospital outcomes were collected. Patients were divided into four groups according to D-dimer quartiles, and trend tests were used to compare changes in each indicator with increasing D-dimer levels. The primary endpoints were in-hospital mortality and HFrEF. Multivariable logistic regression analysis was performed to assess the independent associations of D-dimer with in-hospital mortality and HFrEF. Receiver operating characteristic (ROC) curve analysis was used to evaluate its predictive performance. Results Differences and trend tests among four groups for age, creatinine, peak cardiac troponin T, N-terminal pro-brain natriuretic peptide (NT-proBNP), left ventricular ejection fraction, HFrEF incidence, and in-hospital mortality were statistically significant (P＜0.05). Multivariable logistic regression analysis showed that elevated D-dimer was associated with an increased risk of in-hospital mortality in patients with AMI (OR＝1.251, 95%CI 1.093–1.432, P＝0.001), and HFrEF (OR＝1.075, 95%CI 1.028–1.124, P＝0.002). ROC curve analysis showed that the area under the curve (AUC) of D-dimer for predicting in-hospital mortality and HFrEF were 0.871 and 0.716, respectively. At a cutoff value of 0.47 mg/L, the sensitivity and specificity of D-dimer in predicting HFrEF were 81.9% and 52.1%, respectively; at a cutoff value of 2.18 mg/L, the sensitivity and specificity of D-dimer in predicting in-hospital mortality were 63.6% and 93.8%, respectively. Restricted cubic spline analysis demonstrated significant non-linear associations between D-dimer and the risks of in-hospital mortality and HFrEF (P＜0.001). Conclusions Elevated D-dimer level is significantly associated with increased risks of in-hospital mortality and HFrEF in patients with AMI and shows acceptable predictive performance. As a simple and readily available laboratory biomarker, D-dimer may provide useful information for early risk stratification and clinical management in patients with AMI.

Aiming at the problem that the amount of Oxygen remaining and available time can not be accurately predicted while an astronaut conducting extravehicular activities(EVAs)in EVA spacesuit.Research the oxygen consumption process of EVA spacesuit.The model and algorithm of oxygen consumption are established by the gas state equation including compressibility and temperature coefficient,combined with human metabolism and micro leakage characteristics of spacesuit.Experimental data show that the orecast model and algorithm hasing high accuracy and practicability.

Objective To investigate the effects of varying durations of overwork on cardiomyocyte pyroptosis in mice.Methods A total of 24 SPF KM mice were randomly divided into four groups(n=6)using a random number table:control group,2-week overwork(W2)group,4-week overwork(W4)group,and 6-week overwork(W6)group.Mice in control group were normally raised,while those in W2,W4,and W6 groups were forced to stand in water for 8 h and then restrained for 3 h daily for 2,4,6 weeks,respectively.The general condition and weekly weight changes of the mice were observed.After modeling,blood samples were collected,and hearts were excised.Myocardial histopathological changes were assessed using hematoxylin and eosin(HE)staining.The localization of gasdermin D(GSDMD)protein in myocardial tissue was detected through immunohistochemical staining,and the expression levels of pyroptosis-related proteins[NOD-like protein receptor 3(NLRP3),Caspase-1,GSDMD]in myocardial tissue were analyzed using Western blotting.The contents of interleukin-1β(IL-1β)and interleukin-18(IL-18)in serum and myocardial tissues were measured using ELISA.Results(1)The weight of control group mice increased steadily within 2 weeks.In W2 group,there was no significant weight change within 2 weeks,while in W4 and W6 groups,the body weights were higher than their initial values from the 2nd to 6th week.Compared with control group,the body weights of W2,W4,and W6 groups were lower than those of control group in the 1st and 2nd week,with statistically significant differences(P<0.05).The activity levels of the mice in W2,W4,and W6 groups initially increased and then decreased,with their fur becoming dull and falling out,and their mental state deteriorating.(2)In control group,cardiomyocytes were neatly arranged,and the nuclear morphology was normal.Compared with control group,in W2 group,cardiomyocyte arrangement was less regular,and capillary congestion was increased.In W4 group,the vascular congestion in the myocardium was significantly increased,the interstitial tissue was hyperplastic,and vacuolization appeared around the nuclei.In W6 group,the myocardial interstitium was loose,fat infiltration was increased,vacuolization around the nuclei was increased,and myocardial fibers were swollen,and the arrangement was disordered.(3)GSDMD was mainly located in the cytoplasm of cardiomyocytes.Compared with control group,the expression levels of NLRP3,Caspase-1,and GSDMD proteins in W2,W4,and W6 groups were significantly increased,and the expression levels were in the order of W6 group>W4 group>W2 group,with significant differences(P<0.05).(4)Compared to control group,the levels of IL-1β in serum and myocardial tissues of W2,W4,and W6 groups were significantly increased.In serum,the level of IL-1β in W6 group was higher than those in W2 and W4 groups,and in myocardial tissue,the levels in W4 and W6 groups were higher than those in the W2 group,with significant differences(P<0.05).There were no significant differences in IL-1β levels in serum among W2 and W4 groups,nor were there significant differences in myocardial tissue between W4 and W6 groups(P>0.05).Compared with control group,the levels of IL-18 in serum and myocardial tissue of W4 and W6 groups were significantly increased(P<0.05).In serum,the levels of IL-18 in W4 and W6 groups were higher than that in W2 group,and in myocardial tissue,the level in W6 group was higher than those in W2 and W4 groups,with the differences being statistically significant(P<0.05).Conclusions Overwork can cause structural damage to mouse myocardial tissue,increase the expression of pyroptosis proteins NLRP3,Caspase-1,GSDMD,and aggravate myocardial inflammatory responses in overworked mice.Cardiomyocyte pyroptosis may be one of the factors contributing to sudden cardiac death induced by overwork.

Objective:This study aimed to explore the serum levels of soluble programmed cell death protein 1 (sPD-1) and soluble programmed cell death-ligand 1 (sPD-L1) in patients with spontaneous intracerebral hemorrhage (ICH) and their clinical value in the prognostic analysis.Methods:This prospective cohort study included patients aged ≥18 years admitted to the department of critical care medicine at the Affiliated Hospital of Zunyi Medical University between January 2022 and October 2024 with a first episode of ICH presenting within 24 hours of onset. Patients with hemorrhage caused by other causes (e.g., tumor, medication and trauma) or incomplete data were excluded. Based on 28-day all-cause mortality, patients were divided into survival group and non-survival group. According to the 60-day neurological outcome, patients were divided into good neurological outcome group and poor neurological outcome group. Clinical and imaging data were collected, along with venous blood samples obtained within 24 hours of admission to measure serum levels of sPD-1 and sPD-L1. Predictive indicators were identified using LASSO-Logistic regression analysis was used to identify predictive indicators, and a nomogram was constructed to visualize the prediction model. Model performances were evaluated using receiver operating characteristic curves, decision curve analysis, calibration curves, and the Hosmer-Lemeshow test.Results:A total of 155 patients were included: 101 in the survival group and 54 in the death group; 56 in the favorable neurological outcome group and 99 in the poor neurological outcome group. Serum sPD-1 concentrations were significantly lower in the death group and poor neurological outcome group compared to the survival group and favorable neurological outcome group, respectively. Conversely, serum sPD-L1 concentrations were significantly higher in the death group and poor neurological outcome group compared to the survival group and favorable neurological outcome group (all P < 0.05). Serum sPD-1 and sPD-L1 were identified as predictors of 28-day mortality risk. A nomogram incorporating seven indicators—brainstem hemorrhage, hemorrhage volume, obstructive hydrocephalus, surgical intervention, admission NIHSS score, and admission serum sPD-1 and sPD-L1 levels—demonstrated superior predictive performance [AUC=0.984 (95% CI: 0.968-1.000)] compared to sPD-1 alone (AUC=0.712) or sPD-L1 alone (AUC=0.753). Serum sPD-1 was a predictor of poor 60-day neurological outcome. A nomogram incorporating obstructive hydrocephalus, admission NIHSS score, and admission serum sPD-1 level [AUC=0.818 (95% CI: 0.754-0.882)] outperformed sPD-1 alone (AUC=0.637) or sPD-L1 alone (AUC=0.602). Conclusions:Serum levels of sPD-1 were significantly lower in the non-survivors and the patients with poor neurological outcomes compared to the survivors and the patients with good neurological outcomes. However, serum levels of sPD-L1 were significantly higher in the non-survivors and the patients with poor neurological outcome. Serum sPD-1 was an independent predictor of 28-day mortality risk and 60-day poor neurological outcome; serum sPD-L1 was an independent predictor of 28-day mortality risk. A nomogram prediction model incorporating sPD-1 and sPD-L1 demonstrated good predictive performance for mortality risk and poor neurological outcome.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases.Accurately predicting microbe-disease interactions(MDIs)offers critical insights for disease intervention and pharmaceutical research.Current advanced AI-based technologies automatically generate robust representations of microbes and diseases,enabling effec-tive MDI predictions.However,these models continue to face significant challenges.A major issue is their reliance on complex feature extractors and classifiers,which substantially diminishes the models' generalizability.To address this,we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer po-tential MDIs.Initially,we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation.Secondly,we employ decoupled representation learning technology,compelling the graph neural network(GNN)to independently learn the weights for each feature subspace,thus enhancing its expressive power.Finally,we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN,reducing information loss due to occlusion.Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models.This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research.Code and data are accessible at:https://github.com/shmildsj/MDI-IFDRL.