BACKGROUND:Exercises can reduce blood lipids and slow down the development of atherosclerosis.Atherosclerosis begins with mitochondrial dysfunction,and prohibitin 2 is involved in mitophagy by endurance training. OBJECTIVE:To explore the role of endurance training in the intervention of prohibitin 2 protein in the mitophagy autophagy pathway in atherosclerosis. METHODS:A total of 40 Wistar rats were randomly divided into control group,exercise group,atherosclerosis group and atherosclerosis combined with exercise group,with 10 rats in each group.A rat model of atherosclerosis was constructed by combining a high-fat diet(9 weeks)with vitamin D injections(weeks 1,3,and 6)in the latter two groups,while the two exercise groups were subjected to progressing intensity endurance training for 9 weeks.After the intervention,lipid and pathological detections were conducted to observe the modeling and interventional effects.Mitochondrial membrane potential and mitophagy proteins were detected by microplate reader and western blot.Immunofluorescence staining was used to observe the co-localization of mitophagy proteins in aortic tissue. RESULTS AND CONCLUSION:Lipid and pathological sections showed that compared with the atherosclerosis group,the serum low-density lipoprotein cholesterol and total cholesterol levels and aortic lipid deposition area were significantly reduced in the atherosclerosis combined with exercise group(P<0.001).The results of mitochondrial membrane potential showed that the significant decrease in mitochondrial membrane potential of the aorta in the atherosclerosis combined with exercise group was reversed(P<0.01).The results of western blot assay showed that compared with the control group,the mitochondrial protein expression of prohibitin 2,LC3Ⅱ/Ⅰ,PINK1 and Parkin was significantly increased(P<0.05),and the protein expression of PARL and PGAM5 decreased(P<0.05).Compared with the atherosclerosis group,the protein expression of PINK1 and Parkin in the mitchondria of rats in the atherosclerosis combined with exercise group was significantly decreased(P<0.05),and the protein expressions of prohibitin 2,LC3Ⅱ/Ⅰ,PARL and PGAM5 were significantly increased(P<0.05).Immunofluorescence results showed that compared with the control group,the co-localization of LC3 and PINK1 with TOMM20 was significantly increased in the atherosclerosis group(P<0.05),while compared with the atherosclerosis group,the co-localization of LC3 and PINK1 with TOMM20 was significantly increased in the atherosclerosis combined with exercise group(P<0.05).Co-localization of LC3 and PARL with prohibitin 2 was significantly increased in the atherosclerosis group compared with the control group(P<0.01),co-localization of LC3 with prohibitin 2 was significantly increased in the atherosclerosis combined with exercise group compared with the atherosclerosis group(P<0.01),and co-localization of PARL protein with prohibitin 2 was significantly decreased in the atherosclerosis combined with exercise group compared with the atherosclerosis group(P<0.01).To conclude,endurance training can induce the expression of prohibitin 2 in the inner mitochondrial membrane and promote the binding of prohibitin 2 to the mitophagy junction protein to complete mitophagy,restore mitochondrial function,and slow down the occurrence of atherosclerosis.

Background In the context of global climate change, heatwaves pose an increasing threat to human health. Emergency ambulance calls are an important outcome indicator of acute health response in populations during heatwave weather. However, studies on the association between emergency ambulance calls and heatwaves in China have primarily focused on the southern regions, and less attention is paid to the northern regions, which hinders a comprehensive assessment of acute health impact posed by extreme heat. Objective To quantify the association between heatwaves and emergency ambulance calls in Dezhou City, Shandong Province. Methods The data on daily records of emergency ambulance calls, meteorological factors, and air pollution from May to September of 2020 to 2022 in Dezhou City, Shandong Province were collected. Heatwaves were defined by combining thresholds at the 90th, 92.5th, 95th, and 97.5th percentiles (P₉₀, P_92.5, P₉₅, and P_97.5) of the year-round daily mean temperature and durations of ≥2, 3, or 4 consecutive days, respectively. A generalized additive model with a distributed lag nonlinear model was used to estimate the relative risk of emergency ambulance calls during heatwave days compared with non-heatwave days. Results During the study period, a total of 143393 emergency ambulance calls were analyzed, with 59.75% of individuals aged <65 years, 53.38% male, and 44.94% due to respiratory causes. Compared to non-heatwave periods, all 12 types of defined heatwaves were significantly associated with an increased risk of emergency ambulance calls. The heatwave effect intensified progressively with higher temperature thresholds and longer durations. The cumulative relative risk rose from 1.12 (95%CI: 1.07, 1.17) for the P₉₀_2d type to 1.26 (95%CI: 1.14, 1.40) for the P_97.5_4d type. No significant gender difference was observed in the association between heatwaves and emergency ambulance calls. Regarding age, older adults were more vulnerable, with a relative risk of 1.60 (95%CI: 1.42, 1.81) for the most severe heatwave type P_97.5_4d compared with non-heatwave periods. Among the different causes of calls, the association between respiratory diseases and heatwaves was the most pronounced, with the relative risk increasing from 1.22 (95%CI: 1.15, 1.29) for the mildest heatwave type P₉₀_2d to 1.72 (95%CI: 1.54, 1.93) for the most severe heatwave type P_97.5_4d. Conclusion In Dezhou City, Shandong Province, heatwaves are significantly associated with an increased risk of emergency ambulance calls. The effects of heatwaves on emergency ambulance calls vary by age and disease type, with the elderly and patients with respiratory diseases being more susceptible. These groups should take protective measures.

Objective To evaluate the safety, effectiveness and feasibility of robotic-assisted kidney transplantation (RAKT). Methods Clinical data of 16 patients who underwent kidney transplantation were collected. Among them, 8 recipients received RAKT (RAKT group) and 8 cases underwent open kidney transplantation (OKT) with the contralateral kidney from the same donor (OKT group). Perioperative status and the recovery of renal allograft function were compared between two groups. Results All patients successfully completed the surgery. In the RAKT group, no patient was converted to open surgery. The operation time in the RAKT group was longer than that in the OKT group (P=0.015). No significant differences were observed in the serum creatinine levels before surgery and upon discharge between two groups (both P>0.05). In the OKT group, one recipient developed delayed graft function (DGF), and the remaining recipients did not experience perioperative complications. No significant difference was noted in the short-term recovery of renal allograft function between two groups (P>0.05). Conclusions Postoperative recovery of the recipients in the RAKT group is equivalent to that of their counterparts in the OKT group. RAKT is a safe and effective procedure for the team expertise in kidney transplantation.

The accumulation of fatigue during military operations may lead to decreased operational efficiency and non-combat attrition,which can impact combat effectiveness.On-site monitoring and evaluation of fatigue during military operations,as an important means to keep track of military operations and bring about quick changes in training,underlie the combat effectiveness of military personnel.Focusing on the on-site monitoring and evaluation methods of fatigue during military operations,this paper reviews the determinants of such fatigue as well as on-site monitoring and comprehensive evaluation methods so as to provide reference for accurate and efficient evaluation of fatigue during military operations and for early warning of such fatigue.

Objective To explore the correlations between triglyceride glucose index(TyG)and its derivatives TyG-body mass index(BMI)and TyG-alanine transaminase(ALT)with the risk of lean metabolic associated fatty liver disease(MAFLD).Methods A total of 207 patients diagnosed with lean MAFLD and 100 lean healthy controls who received annual health examination in Health Management Center of our hospital from Jul.to Dec.2023 were enrolled.Plasma lipids,blood glucose,liver function,TyG,TyG-BMI and TyG-ALT were compared between the 2 groups.The influencing factors of lean MAFLD were analyzed by univariate and multivariate logistic regression models.All subjects were divided into 4 subgroups(Q1-Q4)according to the quartile of TyG and its derivatives,and the prevalence of lean MAFLD in each subgroup was observed.The receiver operating characteristic(ROC)curves of TyG,TyG-BMI and TyG-ALT for lean MAFLD were plotted to evaluate the prediction efficiency.Results Of the 8 764 health examination cases included,2 350(26.8％)had MAFLD,of which 207 were lean MAFLD(8.8％,207/2 350).Compared with the lean healthy controls,the patients in the lean MAFLD group were older,with more male and high BMI,and their fasting blood glucose,total cholesterol,triglyceride,low density lipoprotein-cholesterol,ALT,aspartate transaminase,γ-glutamyl transpeptidase,alkaline phosphatase,total bilirubin,TyG,TyG-BMI and TyG-ALT were significantly increased,while high density lipoprotein-cholesterol was significantly decreased(all P＜0.01).Logistic regression analysis showed that age,male,and elevated ALT level were independent risk factors for lean MAFLD.The prevalence of lean MAFLD in the Q4 subgroup of TyG was significantly higher than that in the Q1 and Q2 subgroups(34.3％[71/207]vs 10.6％[22/207]and 24.2％[50/207],both P＜0.05).The prevalence rates of lean MAFLD in the Q4 subgroup of TyG-BMI and the Q4 subgroup of TyG-ALT were significantly higher than those in the corresponding Q1,Q2,and Q3 subgroups(35.3％[73/207]vs 8.2％[17/207],24.6％[51/207],and 31.9％[66/207];33.8％[70/207]vs 14.0％[29/207],23.2％[48/207],and 29.0％[60/207];all P＜0.05).The area under curve(AUC)of TyG-BMI in predicting lean MAFLD was 0.869 0(95％confidence interval[CI]0.825 5-0.912 6,P＜0.001),which was higher than that of TyG(AUC=0.818 8[95％CI 0.768 0-0.869 6,P＜0.001])and TyG-ALT(AUC=0.772 5[95％CI 0.718 7-0.826 2,P＜0.001]).Conclusion TyG,TyG-BMI,and TyG-ALT are associated with lean MAFLD,and have predictive value for lean MAFLD.TyG and its derivatives are easy to calculate and cheap,and can be used for preliminary clinical assessment of lean MAFLD.

Purpose To investigate the value of pre-treatment relative cerebral blood flow(rCBF)and relative cerebral blood volume histogram of dynamic susceptibility contrast-enhanced perfusion weighted imaging in predicting the chemotherapy response of primary central nervous system lymphoma(PCNSL)patients.Materials and Methods Thirty-eight PCNSL patients with fifty-seven lesions treated with high-dose methotrexate chemotherapy from September 2016 to October 2023 were retrospectively involved in the study.The patients were divided into response group of 30 patients and non-response group of 8 patients.Region of interest was drawn in cerebral blood flow and cerebral blood volume images,and histogram paraments were extracted.Univariate and multivariate Logistic regression analysis were performed to identify the independent predictors for chemotherapy response in PCNSL,and then combined prediction model was constructed.The area under the receiver operating characteristic curve was used to compare the predictive performance of different paraments and combined model.Results The number of lesions(OR=9.726,95％CI 1.070-88.397,P=0.043)and rCBF90(OR=0.224,95％CI 0.072-0.704,P=0.010)were the independent predictors for chemotherapy response with the area under the curve of 0.681 and 0.798,respectively.The combined model of rCBF90 and the numbers of lesions showed the best predictive performance with the area under the curve of 0.846.Conclusion The pre-treatment quantitative parameters rCBF and relative cerebral blood volume of dynamic susceptibility contrast-enhanced perfusion weighted imaging could be used for predicting the response to high-dose methotrexate chemotherapy in PCNSL patients,and the rCBF90 is an independent predictor of chemotherapy response.

Purpose To construct the model of differentiating primary central nervous system lymphoma(PCNSL)and atypical glioblastoma(GBM)by combining multi-parameter MRI radiomics and six machine learning algorithms,thus to compare the diagnostic efficacy of different machine learning algorithms.Materials and Methods The clinical and imaging data of 77(125 lesions)PCNSL and 90 atypical GBM(108 lesions)from PLA General Hospital and public databases were retrospectively analyzed from January 2013 to December 2023,and all patients were randomly divided into a training set(163 cases)and a validation set(70 cases)according to 7∶3.T1WI,T2WI and T1-weighted contrast-enhanced sequences were selected for tumor segmentation,and 1 132 radiomics features were extracted from each region of interest.The intraclass correlation coefficient(ICC)was used for the consistency test,and image features with ICC≥0.85 were selected.ICC and recursive feature elimination were used to select the best radiomics features.Six classifiers were used to train and verify three single sequence feature sets,three double-sequence sets and one multi-sequence set.The receiver operating characteristic curve was used to evaluate the diagnostic efficacy of the model.Results The combination model of the support vector machine of radial basis function classifier and multi-sequence feature set were the best model for differentiating PCNSL and atypical GBM.The area under the curve of the training set and the validation set were 0.969 and 0.913,respectively;and the accuracy were both 0.886.Conclusion Noninvasive extraction of multiparametric MRI features combined with machine learning algorithms can effectively differentiate PCNSL and atypical GBM,which provides support for the development of individualized treatment plans for patients.

The Mayo Clinic in the United States is a non-profit medical institution that integrates clinical practice, education, and research. It has maintained a global top hospital brand image for a long time and its management ideas have been widely recognized and appreciated by the industry. From the perspective of strategic management, this study elaborated on the core values of Mayo Clinic, the multidisciplinary team cooperation diagnosis and treatment model, the high fixed salary salary system, the management model of doctor leadership-operation supervisor cooperation, the business mission of integrated clinical practice, education, and research, and the management points of digital marketing, which could provide references for the high-quality development and brand building of hospitals in China.

Objective:To analyze the disaster vulnerability of hospitals in Macao Special Administrative Region to assess the disaster risk objectively, so as to provide reference for Macao hospitals to formulate their emergency plans and improve their emergency response and handling capacity.Methods:From December 2021 to February 2022, 118 medical staff were selected for a questionnaire survey using the method of departmental stratified random sampling from three general hospitals in Macao. At the same time, 7 full-time medical staff and 2 experts in the field of health care were selected for expert consultation. The main content of the questionnaire was the hospital disaster risk assessment based on the Kaiser model, and three-round expert consultation method was used to determine the model indicators. The risk value of each indicator was calculated to analyze the hospital disaster vulnerability.Results:107 valid questionnaires were collected. The top five events in the hospital disaster risk value were typhoon(52.42%), large-scale public health events/epidemic outbreaks(47.55%), strong thunderstorm convective weather(38.68%), extreme temperature(37.31%) and information system failure(33.75%). As ranked by the total risk value, the categories of hospital disasters were natural disasters(35.69%), information security(29.49%), medical technology accidents(29.36%), equipment technology accidents(26.25%), dangerous goods injuries(25.13%) and personnel injuries(19.98%).Conclusions:Macao hospitals are exposed to the highest total risk value in natural disasters, followed by information security. In addition, the risk value of large-scale public health events and epidemic outbreaks of personal injury is also so high as to deserve attention. Macao hospitals should formulate effective emergency response plans according to the risk values of various disasters and the actual situation of each medical department, so as to minimize the losses caused by disasters to both hospitals and patients.

Objective:To establish virus culture method and full genome sequencing method for severe acute respiratory syndrome coronavirus (2019-nCoV), and to illuminate the variation of 2019-nCoV.Methods:The pharyngeal swab specimens were inoculated into Vero-E6 cells for isolation, and the cytopathic effect were observed day by day, and the result of virus isolation were confirmed by Real-Time RT-PCR. Some isolated viruses were diluted 10 times to detect the virus titer. Full-genome of 2019-nCoV was sequenced with the whole genome capture technology and next generation sequencing technology. Phylogenetic analysis and molecular characterization for obtained 2019-nCoV sequences were undertaken.Results:Twenty-two 2019-nCoV strains were isolated with Vero-E6 cell line in the Biosafety Level-3 Laboratory (BSL-3). Eighteen full-genome sequences obtained (almost 29 000 nucleotide) were analyzed with 99.94%~100% identity and 28 nucleotides and 20 amino acids variations. Phylogenetic analysis showed that the 2019-nCoV sequences belonged to different clades, including clade S and clade L with Europe lineage L. I and Europe lineage L. II.1. Furthermore, 5 of 18 2019-nCoV harbor the D614G mutation.Conclusions:2019-nCoV were successfully isolated with Vero-E6 cells, and partially illuminated the phylogenetic characteristics, which provided a basis for subsequent drug screening and biological characteristics research. Continuous monitoring and analysis of the sequences of new cases would be vital to understand the genetic evolution and rates of substitution of the 2019-nCoV.