Objective To investigate the association between lifestyle and risk of heart disease and diabetes in the elderly population in Xi'an City. Methods From January 2021 to January 2024, a staged cluster sampling method was used to investigate the lifestyle and the occurrence of heart disease and diabetes in elderly population aged 60 years and above in the communities of Xi'an. Multivariate logistic regression was used to analyze the relationship between lifestyle and the risk of heart disease and diabetes. Results A total of 413 elderly people were investigated, of which 31.96% had heart disease, 27.12% had diabetes, and 10.90% had diabetes with heart disease. Multivariate logistic regression analysis revealed that age, BMI, family history, sweet food preference, smoking, and sitting and lying for a long time were risk factors for diabetes in the elderly population (P<0.05). Age, BMI, family history, history of diabetes, preference for salted products, smoking, drinking, and sitting and lying for a long time were risk factors for heart disease in the elderly population (P<0.05). Conclusion The incidence rates of heart disease and diabetes are high in the elderly population in Xi'an City. The risk of diabetes is related to unhealthy lifestyles such as sweet food preference, smoking, and sitting and lying for a long time, while heart disease is related to unhealthy lifestyles such as preference for salted products, smoking, drinking, and sitting and lying for a long time.

Aim To investigate the protective effects of co-administered piperine on reversing the skeletal deterioration induced by fluoxetine.Methods Female ovariectomized rats were orally administered with estra-diol,fluoxetine,piperine and the mixture of piperine and fluoxetine for eight weeks,respectively.X-ray ab-sorption assay was used to determine bone mineral den-sity(BMD).microCT was used to analyze the effects of drug treatments on micro-architecture,three-bending test was performed to examine the biomechanical prop-erties.ELISA kits were employed to quantify the bone turnover markers in serum.Besides,rat primary osteo-blasts were cultured to investigate the osteoblastogene-sis and mineralization in the presence of fluoxetine with or without piperine.Results Compared with ovariec-tomized rats,the administration of estradiol and piper-ine significantly enhanced BMD and biomechanical properties with improved micro-architecture of trabecu-lar bones.Fluoxetine treatment further deteriorated BMD,biomechanical properties and micro-architecture of ovariectomized rats with accelerated bone turnover.Concomitant administration of piperine with fluoxetine significantly suppressed the deteriorating effects on skeleton by fluoxetine.In addition,fluoxetine reduced the differentiation and mineralization of primary osteo-blasts,whereas combined therapy showed promotional effects.Conclusions The administration of fluoxetine induces further bone loss in ovariectomized rats by in-hibiting osteoblastic differentiation and mineralization.The co-administration of piperine with fluoxetine rever-ses its skeletal deterioration.

Aim To screen and study the effects of Tao Hong Si Wu decoction(THSWD)-mediated treat-ment on circular RNA(circRNA)expression profiles in rats with middle cerebral artery occlusion(MCAO),and investigate the possible roles and molecular mecha-nisms of THSWD.Methods Next-generation RNA sequencing was conducted to identify circRNA expres-sion profiles in MCAO rats after treatment with THSWD and compared with the MCAO model group and control group.Bioinformatics analysis was performed to predict the potential target microRNAs and mRNAs.Gene On-tology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses for the potential target mRNAs were applied to explore the potential roles of differentially expressed circRNAs.RT-qPCR was performed to verify circRNAs with significant differences in expression.Results We identified 87 significantly differentially expressed circRNAs between the MCAO group versus the control group,and 86 sig-nificantly differentially expressed circRNAs between the MCAO group versus the THSWD group.respective-ly.Among them,17 circRNAs induced by the MCAO model were reversed via treatment with THSWD.To demonstrate the roles of mRNAs targeted by DECs,the GO and KEGG databases were used.Further analysis revealed that five circRNAs may play important roles in the development of MCAO.Conclusions The com-prehensive expression profile of circRNAs in rats with middle cerebral artery occlusion after THSWD treat-ment is determined for the first time,suggesting that the therapeutic effect of THSWD on MCAO may be a-chieved by regulating the expression of circRNAs.

The current status of exoskeletons was introduced in enhancing individual soldier's battlefield rescue capabilities,promoting the integrated use of battlefield rescue equipment,protecting medical personnel on the battlefield and assisting injured soldiers in rehabilitation training.The challenges of exoskeletons faced in human-machine interaction,power supply endurance,heavy overall structure,restricted movement and high cost were analyzed when applied to medical service support,and some suggestions were proposed accordingly including enhancing technology research and development,integrated application,communication and cooperation and personnel training.References were provided for the application of exoskeletons in China's medical service support.[Chinese Medical Equipment Journal,2024,45(3):71-75]

Objective To explore the feasibility and rationality of advanced integrated two-stage laparoscopic simulation training course in standardized training of surgical residents.Methods From December 2019 to December 2021,the advanced integrated two-stage laparoscopic simulation training course was carried out among 2019-2020 surgical residents who received standardized training in our hospital.The course was divided into two stages.In the first stage,BEST(best essential surgical technology training)course,adopted Darwin? endoscopic training system,Tianyan? endoscopic training system,Microport? 3D laparoscopic training system and simple simulative models were used.The second stage,BEST PLUS course,same platform as that in BEST course and in vitro animal models were used.The questionnaire survey method(before and after class questionnaire)was adopted to evaluate the curriculum setting,such as curriculum form,simulators,teaching method,time arrangement,curriculum difficulty,training effect,curriculum satisfaction and so on.Results A total of 37 surgical residents completed the two-stage course training and the questionnaire survey.The overall satisfaction rate with the curriculum setting was 100%.There were 32 residents(86.5%)thought that first stage training course could significantly improve their clinical skills,35 residents(94.6%)thought that second stage training course could significantly improve their clinical skills,and 36 resident(97.3%)thought that the first stage curriculum could significantly help them improve performance in the second stage curriculum.Conclusions The trainees had a high degree of recognition and satisfaction for the advanced integrated two-stage laparoscopic simulation training course.The overall design of course was reasonable and feasible,and was attractive to trainees.

AIM:To investigate the molecular mechanism of long noncoding RNA(lncRNA)SNHG1 in regu-lating ferroptosis to alleviate inflammation in CHME-5 human microglia induced by HIV-1 gp120 V3 loop.METHODS:CHME-5 human microglia were cultured in vitro,and were divided into 7 groups:blank group,random peptide group,gp120 V3 loop group(HIV-1 gp120 group),HIV-1 gp120+shCon group,HIV-1 gp120+SNHG1 sh2 group,HIV-1 gp120+SNHG1 sh2+ferrostatin-1(Fer-1;ferroptosis inhibitor)group,and HIV-1 gp120+SNHG1 sh2+EX527(Sirt1 in-hibitor)group.Normal CHME-5 cells were treated with random peptide or gp120 V3 loop for 24 h.After pretreatment of SNHG1 sh2 cells with inhibitors for 2 h,the cells were then treated with gp120 V3 loop for 24 h.The levels of inflammato-ry cytokines in the cell supernatants were detected by ELISA.Western blot was used to detect the protein expression levels of solute carrier family 7 member 11(SLC7A11),glutathione peroxidase 4(GPX4),Sirt1 and p53.Microplate reader was used to detect the levels of intracellular ferrous ion(Fe2+)and malondialdehyde(MDA).RESULTS:(1)The results of ELISA showed that the expression levels of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6)and IL-1β in HIV-1 gp120 group were significantly higher than those in blank group(P<0.05).Compared with HIV-1 gp120 group,the ex-pression levels of inflammatory cytokines in HIV-1 gp120+SNHG1 sh2 group were significantly decreased(P<0.05).Compared with HIV-1 gp120+SNHG1 sh2 group,the expression levels of inflammatory factors in HIV-1 gp120+SNHG1 sh2+Fer-1 were significantly decreased(P<0.05),but those in HIV-1 gp120+SNHG1 sh2+EX527 group were significant-ly increased(P<0.01).(2)The results of Western blot showed that compared with blank group,the expression levels of ferroptosis-related proteins SLC7A11 and GPX4 in HIV-1 gp120 group were significantly down-regulated(P<0.01).Com-pared with HIV-1 gp120 group,the expression levels of SLC7A11 and GPX4 in HIV-1 gp120+SNHG1 sh2 group were sig-nificantly up-regulated(P<0.01).Compared with HIV-1 gp120+SNHG1 sh2 group,the expression levels of SLC7A11 and GPX4 in HIV-1 gp120+SNHG1 sh2+Fer-1 group were significantly up-regulated(P<0.05),but the expression levels of SLC7A11 and GPX4 in HIV-1 gp120+SNHG1 sh2+EX527 group were significantly down-regulated(P<0.01),and the expression level of p53 was significantly up-regulated(P<0.05).(3)Compared with blank group,the levels of Fe2+and MDA in HIV-1 gp120 group were significantly increased(P<0.05).Compared with HIV-1 gp120 group,the levels of Fe2+and MDA in HIV-1 gp120+SNHG1 sh2 group were significantly decreased(P<0.01).Compared with HIV-1 gp120+SNHG1 sh2 group,Fe2+and MDA in HIV-1 gp120+SNHG1 sh2+Fer-1 group were significantly decreased(P<0.05),but those in HIV-1 gp120+SNHG1 sh2+EX527 group was significantly increased(P<0.05).CONCLUSION:Knockdown of SNHG1 can attenuate the inflammation in microglia induced by HIV-1 gp120 V3 loop,which may be achieved by regulating ferrop-tosis-related signaling molecules through the Sirt1/p53 signaling pathway.

Objective Tissue uptake and distribution of nano-/microplastics was studied at a single high dose by gavage in vivo.Methods Fluorescent microspheres (100 nm, 3 μm, and 10 μm) were given once at a dose of 200 mg/(kg·body weight). The fluorescence intensity (FI) in observed organs was measured using the IVIS Spectrum at 0.5, 1, 2, and 4 h after administration. Histopathology was performed to corroborate these findings.Results In the 100 nm group, the FI of the stomach and small intestine were highest at 0.5 h, and the FI of the large intestine, excrement, lung, kidney, liver, and skeletal muscles were highest at 4 h compared with the control group (P < 0.05). In the 3 μm group, the FI only increased in the lung at 2 h (P < 0.05). In the 10 μm group, the FI increased in the large intestine and excrement at 2 h, and in the kidney at 4 h (P < 0.05). The presence of nano-/microplastics in tissues was further verified by histopathology. The peak time of nanoplastic absorption in blood was confirmed.Conclusion Nanoplastics translocated rapidly to observed organs/tissues through blood circulation;however, only small amounts of MPs could penetrate the organs.

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

Objective:To establish a mortality risk prediction model of severe bacterial infection in children and compare it with the pediatric early warning score (PEWS), pediatric critical illness score (PCIS) and pediatric risk of mortality score Ⅲ (PRISM Ⅲ).Methods:A total of 178 critically ill children were selected from the PICU of the Children's Hospital of Nanjing Medical University from May 2017 to June 2022. After obtaining the informed consent of the parents/guardians, basic information such as sex, age, height and weight, as well as indicators such as heart rate, systolic blood pressure and respiratory rate were collected from all children. A standard questionnaire was used to score the child 24 h after admission to the PICU. The children were divided into the survival and death groups according to their survival status at 28 d after admission. A mortality risk prediction model was constructed and nomogram was drawn. The value of the mortality risk prediction model, PEWS, PCIS and PRISM in predicting the risk of death was assessed and compared using the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC).Results:Among the 178 critically ill children, 11 cases were excluded due to severe data deficiencies and hospitalization not exceeding 24 h. A total of 167 children were included in the analysis, including 134 in the survival group and 33 in the death group. A mortality risk prediction model for children with severe bacterial infection was constructed using pupillary changes, state of consciousness, skin color, mechanical ventilation, total cholesterol and prothrombin time. ROC curve analysis showed that the AUCs of mortality risk prediction model was 0.888 ( P<0.05). The AUCs of PEWS, PCIS and PRISM Ⅲ in predicting death in children with severe bacterial infection were 0.769 ( P< 0.05), 0.575 ( P< 0.05) and 0.759 ( P< 0.05), respectively. Hosmer-Lemeshow goodness-of-fit test showed the best agreement between risk of death and PEWS predicted morbidity and mortality and actual morbidity and mortality (χ 2 = 5.180, P = 0.738; χ 2 = 4.939, P = 0.764), and the PCIS and PRISM Ⅲ predicted mortality rates fitted reasonably well with actual mortality rates (χ 2= 9.110, P= 0333; χ 2 = 8.943, P= 0.347). Conclusions:The mortality risk prediction model for predicting the death risk has better prognostic value than PEWS, PCIS and PRISM Ⅲ for children with severe bacterial infection.

Objective To investigate the value of multi-phase MRI-based radiomics machine learning models in differentiating small renal cell carcinoma(sRCC)from fat-poor renal angiomyolipoma(fp-AML).Methods 79 cases of sRCCs and 35 cases of fp-AMLs(diameter≤4 cm)which were confirmed by pathology were retrospectively analyzed.The volume of interest(VOI)of the total tumor was manually delineated on the images of T2WI(T2),unenhanced phase(UP),corticomedullary phase(CMP)and nephrographic phase(NP)and then the radiomics of the VOIs were extracted respectively.The training set and the test set were set according to the ratio of 7∶3.The t-test,maximal relevance and minimal redundancy(mRMR)and the least absolute shrinkage and selection operator(LASSO)were used to select the radiomics features.The selected features were used to build classification models with logistic regression(LR)and support vector machine(SVM).The receiver operating characteristic(ROC)curve was used to evaluate the classification performances of the models.Results There were 4,12,3,11 and 15 optimal features obtained from T2、UP、CMP、NP and the combined four phases,respectively.The radiomics features based on NP or the combined four phases with LR model performed best,AUCs were respectively 0.956,0.986 in the training set and both were 0.881 in the test set.Conclusion The multi-phase MRI-based radiomics machine learning model has favorable diagnostic performance in differentiating sRCC from fp-AML.