Background Meteorological factors are among the key extrinsic triggers for the onset and exacerbation of cardiovascular and cerebrovascular diseases (CVD). Against the backdrop of sustained global warming, elucidating the impact of ambient temperature and atmospheric pressure on CVD, especially on pre-hospital CVD emergent events, has become imperative for evidence-based prevention and emergency preparedness. Objective To quantify the temporal trends of daily mean temperature and atmospheric pressure and their associations with pre-hospital CVD emergent events in Yantai, and to explore effect modification by demographic subgroups and geographic areas, thereby providing an empirical basis for the rational allocation of emergency medical resources. Methods Pre-hospital CVD emergency data from January 1, 2016 to December 31, 2022 were selected from the Yantai 120 Emergency Medical Command System. Synchronous meteorological factors and environmental pollutant data were obtained from the websites of the National Oceanic and Atmospheric Administration and the National Centers for Environmental Information of the United States. Time-series analysis combined with distributed lag non-linear model was used to analyze the association between daily temperature, atmospheric pressure, and pre-hospital CVD emergencies. Average annual percentage changes (AAPC) were calculated using Joinpoint (version 5.2.0.0) to reflect temporal trends. Spearman correlation analysis was employed to screen variables with low collinearity for inclusion in the multi-pollutant adjusted models. Results From 2016 to 2022, a total of 268275 pre-hospital CVD emergency cases were recorded in Yantai City, showing an increasing annual trend (AAPC=7.16%, P=0.002). Emergency volume, daily temperature, atmospheric pressure, and PM₁₀ displayed marked seasonal patterns, with summer bottoms and winter peaks for emergencies, daily temperature higher in summer and lower in winter, and the inverse for atmospheric pressure. Correlation analysis showed that both daily temperature and atmospheric pressure were positively correlated with O₃, with correlation coefficients of 0.745 and 0.723, respectively; negatively correlated with PM_2.5, with correlation coefficients of −0.246 and −0.235, respectively; and negatively correlated with PM₁₀, with correlation coefficients of −0.241 and −0.229, respectively (P < 0.05). A U-shaped correlation was revealed between daily temperature and pre-hospital CVD emergency risk. Using 24 °C as the reference, risk was elevated at both low and high daily temperatures, with the strongest cold effect at –11 ℃ (RR=1.53, 95%CI: 1.35, 1.73) and strongest heat effect at 30 ℃ (RR=1.06, 95%CI: 1.01, 1.11); cold effects were prolonged (lag0–14d) compared to heat effects. Atmospheric pressure exhibited a positive association with emergencies; using a median of 1012.2 hPa as the reference, the maximum risk occurred at 1037 hPa (RR=1.25, 95%CI: 1.03, 1.52), with a 0–5 d lag. In the subgroup analysis, the impact of low temperature was more pronounced among females (RR_{−9 ℃}=1.66), people over 60 years (RR_{−9 ℃}=1.91), and rural residents (RR_{−9 ℃}=1.76). High atmospheric pressure significantly increased the risk of pre-hospital CVD emergency among females (RR_{1035 hPa}=1.54), people under 18 years (RR_{1035 hPa}=3.62), and rural residents (RR_{1035 hPa}=1.46). The sensitivity analysis results indicated that, after excluding the impact of pandemic and the degrees of freedom for time variations, the effects of daily average temperature and atmospheric pressure on pre-hospital CVD emergency volume were consistent with the primary analysis findings. Conclusion Both non-optimal temperature and atmospheric pressure significantly increase the pre-hospital CVD emergency volume; therefore, emergency medical services should develop targeted response protocols, optimize resource allocation, and intensify public health education to mitigate the pre-hospital burden attributable to temperature and pressure fluctuations.

Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

ObjectiveTo propose an X-Gait motor rehabilitation assessment system based on a perception-cognition decoupling architecture to jointly achieve high-accuracy gait recognition and clinical interpretability for low clinical credibility and opaque decision-making workflows in existing intelligent gait assessment models. MethodsIn the perception layer, YOLOv11-Pose and PoseFormerV2 were integrated for 2D-to-3D human pose reconstruction. A long short-term memory network was adopted for temporal classification of normal, abnormal and pathological gaits. The layer-wise relevance propagation algorithm was used to identify discriminative joints and automatically quantify biomechanical indices including trunk forward inclination angle, stance phase percentage and stride symmetry. In the cognition layer, rehabilitation-oriented prompt engineering and prior knowledge graphs were combined to drive large language models, converting quantitative biomechanical measurements into clinically reasonable structured reports. Eight subjects were enrolled for bedside clinical validation to evaluate classification performance and clinical consistency. ResultsThe overall gait classification accuracy of X-Gait reached 94.1%. The 2D pose detection achieved 100% valid detection rate with an average confidence of 0.819. The mean per-joint position error of 3D pose reconstruction was 105.97 mm. In clinical validation of eight cases, outputs generated by explainable artificial intelligence combined with large language models showed high consistency with manual assessments from experienced rehabilitation physicians. ConclusionThe proposed X-Gait system based on perception-cognition decoupling realizes high-precision gait identification and clinically interpretable outputs.

ObjectiveTo investigate the effect of schisanlactone E in ameliorating neuroinflammation and synaptic injury in APP/PS1 mice and to elucidate whether its mechanism is related to the regulation of helper T cell 17 （Th17）/regulatory T cell （Treg） immune balance. MethodsAPP/PS1 transgenic mice were assigned into model， low- and high-dose （2 mg·kg^-1·d^-1 and 4 mg·kg^-1·d^-1， respectively） schisanlactone E， and donepezil （1 mg·kg^-1·d^-1） groups. C57BL/6J mice were used as the control group. Each group received the corresponding drug by gavage for 30 days. Learning and memory abilities were assessed by the Morris water maze and novel object recognition tests. The percentages of Th17 and Treg cells in the peripheral blood were analyzed by flow cytometry. The mRNA levels of retinoid-related orphan receptor γt （RORγt）， interleukin （IL）-17A， forkhead box protein 3 （FoxP3）， and IL-4 in the hippocampus were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The synaptic ultrastructure in the hippocampus was observed by transmission electron microscopy. The protein levels of synapsin Ⅰ and postsynaptic density protein 95 （PSD95） in the hippocampus were measured by Western blot. Aβ aggregation and microglial activation in the hippocampus were observed by immunofluorescence staining. The mRNA levels of tumor necrosis factor （TNF）-α， IL-6， and IL-1β in the hippocampus were determined by Real-time PCR. ResultsCompared with the control group， the model group showed prolonged escape latency （P<0.05）， decreased time spent in the target quadrant， platform crossings， novel object exploration time， and percentage of novel object contact frequency （P<0.05， P<0.01）， increased Aβ aggregation in the hippocampal tissue （P<0.01）， an increased proportion of Th17 cells （P<0.05）， a decreased proportion of Treg cells （P<0.05）， and an increased Th17/Treg ratio （P<0.01） in the peripheral blood. Furthermore， the hippocampal tissue in the model group exhibited upregulated mRNA levels of RORγt and IL-17A （P<0.05， P<0.01）， downregulated mRNA levels of FoxP3 and IL-4 （P<0.01）， decreased synapses （P<0.05）， decreased PSD density， synaptic interface curvature， and active zone length （P<0.05， P<0.01）， and increased synaptic cleft width （P<0.05）， downregulated protein levels of Synapsin Ⅰ and PSD95 （P<0.01）， increased microglial activation （P<0.01）， and upregulated mRNA levels of TNF-α， IL-6， and IL-1β （P<0.05）. Compared with the model group， the high-dose schisanlactone E group and the donepezil group exhibited shortened escape latency and increased time in the target quadrant and platform crossings （P<0.05， P<0.01）. The schisanlactone E groups and the donepezil group showed increased novel object exploration time （P<0.05， P<0.01） and percentage of novel object contact frequency （P<0.05， P<0.01）， and reduced hippocampal Aβ aggregation （P<0.05， P<0.01）. The schisanlactone E groups showed a decreased proportion of Th17 cells （P<0.05） and an increased proportion of Treg cells （P<0.05） in the peripheral blood， and all treatment groups showed a decreased Th17/Treg ratio （P<0.05， P<0.01）. The high-dose schisanlactone E group showed a downregulated mRNA level of RORγt in the hippocampal tissue （P<0.05）， and all treatment groups showed a downregulated mRNA level of IL-17A （P<0.05， P<0.01）， and upregulated mRNA levels of FoxP3 and IL-4 （P<0.05， P<0.01）. The schisanlactone E groups and the donepezil group showed increased synapses， active zone length， synaptic interface curvature， and PSD density， decreased synaptic cleft width （P<0.05， P<0.01）， and upregulated protein levels of synapsin Ⅰ and PSD95 （P<0.05， P<0.01）. The high-dose schisanlactone E group and the donepezil group showed decreased microglial activation in the hippocampus （P<0.01）. The schisanlactone E groups and the donepezil group showed downregulated mRNA levels of TNF-α， IL-6， and IL-1β in the hippocampal tissue （P<0.05， P<0.01）. ConclusionSchisanlactone E significantly improves the cognitive function in APP/PS1 mice by regulating the Th17/Treg immune balance， inhibiting neuroinflammation， and ameliorating synaptic injury.

ObjectiveTo observe the effect of aspirin curcumin ester （CA） on the activation and glucose metabolism reprogramming of the mouse microglia （BV2） model of inflammation induced by high glucose/β-amyloid （Aβ）_1-42， and to explore the potential mechanism of CA in reducing neuroinflammatory response in the brain. MethodsThe BV2 activation model was constructed by high glucose combined with Aβ_1-42 oligomers. BV2 cells were treated with Aβ_1-42 oligomers （10 μmol·L^-1） in a high glucose （50 mmol·L^-1） environment and allocated into normal， high glucose， Aβ， and high glucose + Aβ groups. The cell morphology of each group was observed under a bright field. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was adopted to assess the mRNA levels of inflammatory factors including tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） as well as glycolysis-related glucose transporter type 1 （GLUT1）， hexokinase 2 （HK2）， phospofructokinase-2/fructose-2，6-bisphosphatase 3 （PFKFB3）， and pyruvate kinase M2 （PKM2）. To reveal the effects of CA on inflammatory response and glucose metabolism in BV2 cells exposed to high glucose/Aβ_1-42， this study established the BV2 cell model of inflammatory activation by high glucose and Aβ_1-42 oligomer intervention. The cells were allocated into normal， model （50 mmol·L^-1 glucose + 10 μmol·L^-1 Aβ_1-42）， CA （10 μmol·L^-1）， 2DG （0.2 mmol·L^-1）， and DADA （1 mmol·L^-1） groups. Cell counting kit-8 （CCK-8） was used to detect cell survival rate. The cell morphology of each group was observed under a bright field. The expression of inflammatory factors TNF-α， IL-6， and IL-1β and glycolysis-related key enzymes GLUT1， HK2， PFKFB3， and PKM2 at the mRNA level in each group was measured by real-time PCR. The protein levels of GLUT1， HK2， PFKFB3， and PKM2 were determined by Western blot. The glycolysis rate in each group was measured by seahorse. LC-MS was employed to identify the glucose metabolism intermediates. The morphology of mitochondria in cells was observed by electron microscopy. ResultsConstruction of the BV2 cell model： Compared with the normal group， the Aβ group and the high glucose + Aβ group showed more amoeboid-shaped cells and cell aggregation. The high glucose + Aβ group exhibited increased the mRNA levels of TNF-α， IL-1β， and IL-6 （P<0.05， P<0.01）， as well as those of key glycolytic enzymes GLUT1， HK2， PFKFB3， and PKM2 （P<0.01）. The Aβ group also showed significantly increased mRNA levels of PKM2 and PFKFB3 （P<0.01）. Effects of CA on the inflammatory response and glucose metabolism in BV2 cells exposed to high glucose/Aβ_1-42： Compared with the normal group， the model group exhibited amoeboid-shaped cells and cell aggregation， upregulated mRNA levels of TNF-α， IL-1β， IL-6， iNOS， GLUT1， HK2， PFKFB3， and PKM2 （P<0.01） and protein levels of GLUT1， HK2， and PFKFB3 （P<0.05， P<0.01）， an increased basal glycolysis rate （P<0.01）， a decreased compensatory glycolysis rate （P<0.01）， increased glycolytic intermediates and reduced TCA cycle intermediates. In addition， the mitochondria in the model group exhibited a decreased number （P<0.05）， impaired crista integrity （P<0.01）， an increased proportion of vacuolization （P<0.01）， and abnormal mitochondrial morphology. Compared with those in the model group， the number of amoeboid-shaped BV2 cells reduced in the CA and 2DG groups， while most BV2 cells in the DADA group became elongated spindle-shaped. All the three treatment groups showed downregulated mRNA levels of TNF-α， IL-1β， IL-6， GLUT1， HK2， PFKFB3， and PKM2 （P<0.05， P<0.01）， downregulated protein levels of GLUT1， HK2， and PFKFB3 （P<0.05， P<0.01）， and slow compensatory glycolysis and basal glycolysis （P<0.05， P<0.01）. Glycolytic intermediates were decreased and TCA cycle intermediates were increased in the CA and 2DG groups. Mitochondrial morphology largely returned to the normal level in all the three treatment groups， with an increase in mitochondrial number （P<0.05）， improved crista integrity （P<0.05， P<0.01）， and a decreased proportion of vacuolization （P<0.05）. ConclusionAβ_1-42 oligomers can activate BV2 cells and enhance glycolytic activity in the high glucose environment. CA can reduce the expression of inflammatory factors and inhibit the activation of BV2 cells by regulating the glucose metabolism reprogramming in BV2 cells.

ObjectiveTo investigate the effects of paeoniflorin （PF） on neuroinflammation and cognitive impairment in the rat model of Alzheimer's disease （AD） and to clarify whether its mechanism is associated with regulation of the Janus kinase 2 （JAK2）/signal transducer and activator of transcription 3 （STAT3） signaling pathway. MethodsGlycosides related to AD-associated neuroinflammation were screened through bibliometric analysis， and the potential targets of PF were predicted through network pharmacology and molecular docking. A rat model of AD was established by intraperitoneal injection of D-galactose （100 mg·kg^-1·d^-1）. Rats were assigned into a control group， a model group， a PF （200 mg·kg^-1） group， and a donepezil （0.5 mg·kg^-1·d^-1） group， and drugs were administered by gavage for 21 days. The learning and memory abilities were evaluated by the Morris water maze （MWM）. Hematoxylin-eosin （HE） staining and Nissl staining were performed to observe hippocampal neuronal morphology. The mRNA levels of inflammatory factors were determined by Real-time quantitative polymerase chain reaction （Real-time PCR）， and the protein levels of molecules in the JAK2/STAT3 signaling pathway were determined by Western blot. ResultsCompared with the control group， the model group showed prolonged escape latency and decreased platform crossings and time spent in the target quadrant （P<0.05， P<0.01）， accompanied by increased expression of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α）， as well as elevated ratios of phosphorylated （p）-JAK2/JAK2 and p-STAT3/STAT3 （P<0.01）. Compared with the model group， the PF group and donepezil group exhibited shortened escape latency and increased platform crossings and time spent in the target quadrant （P<0.05， P<0.01）， decreased expression levels of IL-1β and TNF-α， upregulated mRNA levels of interleukin-4 （IL-4） and interleukin-10 （IL-10）， and reduced ratios of p-JAK2/JAK2 and p-STAT3/STAT3 （P<0.05， P<0.01）. ConclusionPaeoniflorin can alleviate cognitive impairment and neuroinflammation in the rat model of AD by inhibiting the JAK2/STAT3 signaling pathway.

Objective To observe the effects of tuina of"three methods and three acupoints"on skeletal muscle α-actin,myostatin(MSTN)and atrophy gene 1(Atrogin1)expression of sciatic nerve injury(SNI)rats;To explore the mechanism of tuina therapy on motor dysfunction.Methods Male SD rats were randomly divided into blank group,sham-operation group,model group and tuina group,with 9 rats in each group.SNI model was established by clamp method in rats of the model group and tuina group.The sciatic nerve was exposed without clamping in rats of the sham-operation group,the blank group was not intervened.7 days after the operation,the intelligent tuina manipulation simulator was used to simulate the point method,dial method and knead method,which were applied to the"Yinmen"(BL37),"Chengshan"(BL57)and"Yanglingquan"(GB34)of rats in the tuina group,once a day,for 20 times.The rats in the sham-operation group and the model group were only grasped and restrained.Rats in the blank group did not receive any intervention.The hind limb muscle strength were evaluated by inclined plate test before modeling,after 10 interventions and 20 interventions.After the intervention,the rats were euthanized.The expressions of α-actin in gastrocnemius muscle tissue were detected by immunofluorescence staining,the expressions of MSTN,Atrogin1 mRNA and protein in gastrocnemius muscle tissue were detected by RT-PCR and Western blot.Results Compared with the blank group and sham-operation group,the model group showed a decrease in hind limb muscle strength(P<0.01),a significant decrease in α-actin expression in gastrocnemius muscle tissue(P<0.01),and a significant increase in MSTN,Atrogen1 mRNA and protein expression(P<0.05,P<0.01).Compared with the model group,the hind limb muscle strength in tuina group significantly increased(P<0.01),the expressions of α-actin significantly increased(P<0.01),and the expressions of MSTN,Atrogin1 mRNA and protein significantly decreased(P<0.05,P<0.01).Conclusion"Three methods and three acupoints"tuina can improve hind limb muscle strength and restore motor function of SNI rats,which is related to the down-regulation of MSTN and Atrogin1 as well as increasing the expression of α-actin in gastrocnemius muscles.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Objective:To analyze the changing trend of cervical cancer epidemiological characteristics and disease burden in cancer registration areas of Guangxi Zhuang Autonomous Region (Guangxi) from 2010 to 2017, and to provide scientific basis for the development of cervical cancer prevention and control strategies in Guangxi.Methods:Using descriptive analysis method, based on the incidence and death data of cervical cancer in the tumor registration areas of Guangxi from 2010 to 2017, Crude morbidity, crude mortality, age-standardized morbidity and mortality (referred to as the winning rate), disability adjusted life years (DALYs) rate and the annual percentage change (APC) and average annual percentage change (AAPC) of the above indicators were calculated, and stratified analysis was conducted for urban and rural areas and different age groups.Results:From 2010 to 2017, the crude incidence rate of cervical cancer in Guangxi showed a significant upward trend, rising from 10.31/10 5 in 2010 to 19.94/10 5 in 2017, with an average annual growth rate of 7.9% ( P＜0.05). However, after age standardization, the trend of the age-standardized incidence rate of cervical cancer was not statistically significant ( P＞0.05). During the same period, the crude mortality rate of cervical cancer increased from 2.69/10 5 to 6.21/10 5, with an average annual growth rate of 13.1% ( P＜0.05), and the trend of the age-standardized mortality rate was basically consistent with that of the crude mortality rate. The analysis of urban-rural differences showed that the growth rates of the crude incidence rate and crude mortality rate of cervical cancer in rural areas were higher than those in urban areas from 2010 to 2017 (AAPC incidence rate: 21.3% vs. 2.3%; AAPC mortality rate: 20.1% vs. 8.4%). The analysis of age differences showed that the crude incidence rate and crude mortality rate of cervical cancer in all age groups increased to varying degrees, among which the growth rate of the incidence rate (AAPC=16.2%, P＜0.05) and mortality rate (AAPC=14.7%, P＜0.05) of cervical cancer in women aged 65 and above was the fastest. In addition, the DALYs rate of cervical cancer in Guangxi increased from 50.6/10 5 in 2010 to 111.0/10 5 in 2017, with an average annual increase of 11.9% ( P＜0.05). The growth rate of the DALYs rate in rural areas was higher than that in urban areas, and the growth rate of the DALYs rate in the 50-59 age group was higher than those in other age groups. Conclusions:From 2010 to 2017, the incidence rate, mortality rate and DALYs rate of cervical cancer in Guangxi showed an upward trend. Comprehensive prevention and control measures for cervical cancer, such as improving the early diagnosis and treatment system, promoting the popularization of HPV vaccination and strengthening health education, should be taken to reduce the disease burden of cervical cancer.

Objective To investigate the effect of naringenin(NAR)on right ventricular remodeling induced by hypoxic pulmonary hypertension(HPH)and its related mechanism.Methods SD rats were randomly divided into the control group(NC),the NC+NAR group,the HPH group and the HPH+NAR group,with 15 rats in each group.HPH model was established in a low-pressure hypoxic artificial chamber.After the successful construction of the model,rats in the NC+NAR group and the HPH+NAR group were given NAR 100 mg/(kg·d)gavage once a day for 4 weeks,while rats in the NC group and the HPH group were given the same volume of normal saline once a day for 4 weeks.Right ventricular free wall thickness(RVEDWT)and end-diastolic right ventricular diameter(RVEDD)were measured by echocardiography.Right ventricular systolic pressure(RVSP)and mean pulmonary artery pressure(mPAP)were measured by cardiac catheter.Right ventricular mass ratio(RV/BW)and right ventricular hypertrophy index(RVHI)were calculated.Masson and Sirius staining of right ventricle was used to calculate the collagen volume fraction(CVF).TUNEL staining was used to evaluate the apoptosis of right ventricular cardiomyocytes.The contents of malondialdehyde(MDA)and the activity of superoxide dismutase(SOD)in right ventricular myocardium were detected.The expression of Rho associated kinase(ROCK)protein was detected by Western blot assay.Results Compared with the NC group and the NC+NAR group,mPAP,RVSP,RVEDWT,RV/BW,RVHI,right ventricular CVF,right ventricular myocardial cell apoptosis rate,MDA content and ROCK1 and ROCK2 protein expression in right ventricular myocardial tissue were increased in the HPH group.RVEDD and SOD activity in right ventricular myocardium were decreased(P＜0.05).Compared with the HPH group,mPAP,RVSP,RVEDWT,RV/BW,RVHI,right ventricular CVF,right ventricular myocardial cell apoptosis rate,MDA content,ROCK1 and ROCK2 protein expression in right ventricular myocardial tissue were decreased in the HPH+NAR group,and RVEDD and SOD activity in right ventricular myocardium were increased(P＜0.05).Conclusion NAR can reduce HPH-induced right ventricular remodeling,and its mechanism may be related to inhibiting ROCK signaling pathway and further improving apoptosis and oxidative stress in right ventricular myocardium.