BACKGROUND:Zinc-based alloy medical implant materials have excellent mechanical properties,complete degradability and good biocompatibility,and are mainly used in orthopedic implants,cardiovascular stents,bile duct stents,tracheal stents,nerve catheters,etc. OBJECTIVE:To review the research progress of biodegradable zinc-based alloys in bone defect repair and prospect the promising research direction and achievements of zinc-based materials. METHODS:After searching PubMed,Web of Science,WanFang Data,and CNKI databases from the establishment of the database to June 2023,various relevant articles on biodegradable zinc-based alloys for bone implant material research were collected.The basic characteristics of biodegradable zinc based alloys were summarized,and the role of zinc-based alloys in promoting bone tissue repair was sorted and summarized.The current research hotspots and shortcomings were discussed. RESULTS AND CONCLUSION:(1)Zinc-based alloys have good biocompatibility.Using zinc-based alloys as the matrix material,with the help of scaffold structure construction technology and coating optimization process,the bone conductivity of zinc-based alloys will be effectively improved,and their degradation products will have efficient bone induction to regulate the gene expression of osteoblasts and osteoclasts,thereby promoting the repair and reconstruction of bone defects.(2)However,in the research on optimizing zinc-based alloys,the coating process is relatively insufficient,and additive loading technology is still lacking.(3)Zinc-based alloys have excellent mechanical and biological properties.Through special processes,their bone conductivity and osteoinductivity can be increased to effectively improve their ability to promote bone repair and reconstruction,and it is expected to further achieve the development of personalized transplant materials.Further research and development are needed to optimize the integration of coating and additive loading technologies into zinc-based alloys.

Objective To explore the relationship of metabolic comorbidities and insulin resistance(IR)with chronic kidney disease(CKD)among elderly individuals undergoing health exam.Methods A cross-sectional observational study was conducted on 8358 older adults who took health exam in Chinese PLA General Hospital between December 2009 and May 2021.According to the guidelines for CKD diagnostic criteria,they were divided into CKD group(983 cases)and non-CKD(7375 cases).Clinical data was collected,and the eGDR was calculated.Quasi-Bayesian method was used for causal mediation analysis.Results The prevalence of metabolic comorbidi-ties including hypertension,CHD,DM,hyperlipidemia,and hyperuricemia was significantly higher in the CKD group than the non-CKD group(P＜0.01).The eGDR was obviously lower in the CKD group than the non-CKD group[6.88±2.09 mg/(kg·min)vs 8.41±2.12 mg/(kg·min),P＜0.01].Logistic regression analysis revealed that,without adjusting covariates,each 1-unit increase in eGDR was associated with a 29％reduction in the risk of developing CKD(OR=0.714,95％CI:0.691-0.738,P＜0.01),and after adjusting covariates,eGDR remained signifi-cantly negatively association with the risk of CKD(P＜0.01).Mediation analysis indicated that DM and brachial-ankle pulse wave velocity accounted for the highest proportions of the mediating effect in the relationship between eGDR and CKD(14.2％and 12.5％,respectively).Conclusion In the elderly population undergoing health exam,reduced insulin sensitivity is significantly asso-ciated with the development of CKD.Diabetes and arteriosclerosis exert mediating effect in this association.

Objective To explore the relationship of metabolic comorbidities and insulin resistance(IR)with chronic kidney disease(CKD)among elderly individuals undergoing health exam.Methods A cross-sectional observational study was conducted on 8358 older adults who took health exam in Chinese PLA General Hospital between December 2009 and May 2021.According to the guidelines for CKD diagnostic criteria,they were divided into CKD group(983 cases)and non-CKD(7375 cases).Clinical data was collected,and the eGDR was calculated.Quasi-Bayesian method was used for causal mediation analysis.Results The prevalence of metabolic comorbidi-ties including hypertension,CHD,DM,hyperlipidemia,and hyperuricemia was significantly higher in the CKD group than the non-CKD group(P＜0.01).The eGDR was obviously lower in the CKD group than the non-CKD group[6.88±2.09 mg/(kg·min)vs 8.41±2.12 mg/(kg·min),P＜0.01].Logistic regression analysis revealed that,without adjusting covariates,each 1-unit increase in eGDR was associated with a 29％reduction in the risk of developing CKD(OR=0.714,95％CI:0.691-0.738,P＜0.01),and after adjusting covariates,eGDR remained signifi-cantly negatively association with the risk of CKD(P＜0.01).Mediation analysis indicated that DM and brachial-ankle pulse wave velocity accounted for the highest proportions of the mediating effect in the relationship between eGDR and CKD(14.2％and 12.5％,respectively).Conclusion In the elderly population undergoing health exam,reduced insulin sensitivity is significantly asso-ciated with the development of CKD.Diabetes and arteriosclerosis exert mediating effect in this association.

Objective To investigate the correlation between arterial stiffness(AS)and incident chronic kidney disease(CKD)among the elderly individuals taking health checkup.Methods A retrospective study was conducted on 857 elderly individuals without CKD at baseline who taking physical exams in our medical center from December 2009 to May 2021.Their clinical and labora-tory data were collected.Brachial-ankle pulse wave velocity(baPWV)was used to assess the se-verity of AS,and then the subjects were divided into normal elasticity group(201 cases),and moderate(490 cases)and severe AS group(166 cases).Kaplan-Meier curves were plotted to dis-play cumulative incidence rates of incident CKD across different AS groups.Restricted cubic splines(RCS)and Cox regression models were applied to analyze the correlation of baPWV and incident CKD risk.Results The severe AS group had significantly advanced age,greater ratio of hypertension,larger waist circumference,higher HR,SBP and DBP,increased urinary albumin/creatinine ratio(UACR),elevated levels of TG and fasting blood glucose,and baPWV than the normal elasticity group(P＜0.05).During the follow-up period,37 participants developed CKD.The incidence of CKD was obviously higher in the severe AS group than the normal arterial elas-ticity group(9.04％vs 3.48％).RCS analysis revealed a U-shaped relationship between baPWV and incident CKD risk.When baPWV ≥1 400 cm/s,each standard deviation increase in baPWV indicates the risk of incident CKD increasing by 71％(HR=1.71,95％CI:1.30-2.25,P＜0.01).Regardless of adjustment for covariates or not,baPWV remained positive correlation with inci-dent CKD risk(P＜0.05).Conclusion Among the elderly individuals undergoing health check-up,increased AS severity is significantly associated with higher risk of incident CKD when baP-WV ≥1400 cm/s.

Objective:To identify circulating proteins associated with cardiovascular, renal, and cardiorenal comorbidity events in individuals with metabolic syndrome, to construct a predictive model incorporating these proteins to improve prediction accuracy and to investigate their mediating effects on the interplay between cardiovascular and renal diseases.Methods:Data from the UK Biobank cohort were utilized. Cox proportional hazards models were applied to identify circulating proteins associated with various outcomes, followed by time-truncated sensitivity analyses. A predictive model incorporating protein scores was then developed using the LightGBM algorithm and compared with other models. Gene Ontology(GO) functional enrichment analysis was performed to explore the biological pathways of the identified proteins. Finally, mediation effect analysis was conducted to assess the role of circulating proteins in cardiorenal interactions. Results:The Cox analysis identified 180, 275, and 322 circulating proteins associated with cardiovascular events, renal events, and cardiorenal comorbidity events, respectively. Incorporating protein scores significantly improved model performance; the areas under the curve(AUC) for cardiovascular, renal, and cardiorenal events were 0.833, 0.907, and 0.890, respectively. GO functional enrichment analysis demonstrated significant enrichment in pathways such as cytokine activity(GO: 0005125), glycosaminoglycan binding(GO: 0005539), and humoral immune response(GO: 0006959) among all outcome-related proteins. Notably, EDA2R, GDF15, and WFDC2 exhibited significant mediating effects, each with mediation proportions exceeding 10%. Conclusions:A predictive model incorporating circulating protein scores can substantially improve prediction accuracy for cardiovascular and renal outcomes in individuls with metabolic syndrome.

Objective To investigate the correlation between arterial stiffness(AS)and incident chronic kidney disease(CKD)among the elderly individuals taking health checkup.Methods A retrospective study was conducted on 857 elderly individuals without CKD at baseline who taking physical exams in our medical center from December 2009 to May 2021.Their clinical and labora-tory data were collected.Brachial-ankle pulse wave velocity(baPWV)was used to assess the se-verity of AS,and then the subjects were divided into normal elasticity group(201 cases),and moderate(490 cases)and severe AS group(166 cases).Kaplan-Meier curves were plotted to dis-play cumulative incidence rates of incident CKD across different AS groups.Restricted cubic splines(RCS)and Cox regression models were applied to analyze the correlation of baPWV and incident CKD risk.Results The severe AS group had significantly advanced age,greater ratio of hypertension,larger waist circumference,higher HR,SBP and DBP,increased urinary albumin/creatinine ratio(UACR),elevated levels of TG and fasting blood glucose,and baPWV than the normal elasticity group(P＜0.05).During the follow-up period,37 participants developed CKD.The incidence of CKD was obviously higher in the severe AS group than the normal arterial elas-ticity group(9.04％vs 3.48％).RCS analysis revealed a U-shaped relationship between baPWV and incident CKD risk.When baPWV ≥1 400 cm/s,each standard deviation increase in baPWV indicates the risk of incident CKD increasing by 71％(HR=1.71,95％CI:1.30-2.25,P＜0.01).Regardless of adjustment for covariates or not,baPWV remained positive correlation with inci-dent CKD risk(P＜0.05).Conclusion Among the elderly individuals undergoing health check-up,increased AS severity is significantly associated with higher risk of incident CKD when baP-WV ≥1400 cm/s.

Objective:To identify circulating proteins associated with cardiovascular, renal, and cardiorenal comorbidity events in individuals with metabolic syndrome, to construct a predictive model incorporating these proteins to improve prediction accuracy and to investigate their mediating effects on the interplay between cardiovascular and renal diseases.Methods:Data from the UK Biobank cohort were utilized. Cox proportional hazards models were applied to identify circulating proteins associated with various outcomes, followed by time-truncated sensitivity analyses. A predictive model incorporating protein scores was then developed using the LightGBM algorithm and compared with other models. Gene Ontology(GO) functional enrichment analysis was performed to explore the biological pathways of the identified proteins. Finally, mediation effect analysis was conducted to assess the role of circulating proteins in cardiorenal interactions. Results:The Cox analysis identified 180, 275, and 322 circulating proteins associated with cardiovascular events, renal events, and cardiorenal comorbidity events, respectively. Incorporating protein scores significantly improved model performance; the areas under the curve(AUC) for cardiovascular, renal, and cardiorenal events were 0.833, 0.907, and 0.890, respectively. GO functional enrichment analysis demonstrated significant enrichment in pathways such as cytokine activity(GO: 0005125), glycosaminoglycan binding(GO: 0005539), and humoral immune response(GO: 0006959) among all outcome-related proteins. Notably, EDA2R, GDF15, and WFDC2 exhibited significant mediating effects, each with mediation proportions exceeding 10%. Conclusions:A predictive model incorporating circulating protein scores can substantially improve prediction accuracy for cardiovascular and renal outcomes in individuls with metabolic syndrome.

Objective To investigate the value of computer-assisted quantification of pulmonary embolism volume(PEV)in identifying mild-to-high-risk acute pulmonary embolism(APE).Methods We retrospectively enrolled 143 patients with suspected APE confirmed by computed tomography pulmonary angiography(CTPA)at Yan'an University Affiliated Hospital from January 2017 to December 2020.According to the 2018 Chinese Guidelines for Diagnosis,Treatment and Prevention of Pulmonary Thromboembolism,all the patients were divided into low-risk group(n=88)and mild-to-high-risk group(n=55).We collected the patients'basic demographic data,clinical manifestations,and serum levels of N-terminal-B type natriuretic peptide precursor(NT-proBNP)and D-dimer.Based on CTPA images,the degree of pulmonary thromboembolism was artificially evaluated to obtain the pulmonary artery occlusion index(PAOI).The thrombus was segmented using the pulmonary embolism detection tool based on digital lung,and PEV was calculated.We compared the differences in clinical and laboratory indicators and PAOI and PEV between the two risk groups.We analyzed the value of PAOI and PEV in identifying mild-to-high-risk APE using receiver operating characteristic(ROC)curves,and used Logistic regression analysis to identify independent risk factors in predicting mild-to-high-risk APE.Different models were established.Results Compared with the low-risk group,APE patients in the mild-to-high-risk group were older(P＜0.05),had lower diastolic blood pressure(P＜0.05),higher levels of D-dimer and NT-proBNP(P＜0.05),lower levels of platelet count,arterial oxygen partial pressure and arterial carbon dioxide partial pressure(P＜0.05),and higher levels of PAOI and PEV(P＜0.001).ROC curve analysis showed that the area under the curve for PEV in identifying mild-to-high-risk APE was 0.809(95％CI:0.734-0.884),while that for PAOI was 0.753(95％CI:0.667-0.839).Logistic regression analysis showed that PEV and NT-proBNP were independent risk factors for mild-to-high-risk APE(P＜0.05).Conclusion PEV and NT-proBNP are independent risk factors for mild-to-high-risk APE.

OBJECTIVETo evaluate the role of intraoperative transesophageal echocardiography (TEE) during robotic atrial myxoma excision.

METHODSThirty-eight consecutive patients undergoing robotic atrial myxoma excision from September 2007 to August 2012 were enrolled in the study. During the procedure, TEE was performed to document the myxoma position, its attachment, and hemodynamic information before cardiopulmonary bypass (CPB). During establishment of peripheral CPB, TEE was used to guide placement of the cannulae in the inferior vena cava (IVC), superior vena cava (SVC), and ascending aorta (AAO). After weaning from CPB, TEE was performed to evaluate the effect of the procedure.

RESULTSThe accuracy of TEE for the position or its attachment of the myxoma was 100%. All the cannulae in the SVC, IVC and AAO were located in correct position. In all patients, TEE confirmed successful excision.

CONCLUSIONIntraoperative TEE is a valuable adjunct in patients undergoing robotic atrial myxoma excision.

Adolescent ; Adult ; Aged ; Echocardiography, Transesophageal ; methods ; Female ; Heart Neoplasms ; diagnostic imaging ; surgery ; Humans ; Male ; Middle Aged ; Monitoring, Intraoperative ; methods ; Myxoma ; diagnostic imaging ; surgery ; Robotics ; Young Adult

OBJECTIVETo detect the heterogeneity of mitochondrial DNA (mtDNA) in black and white hair of patients with type 2 diabetes.

METHODSMtDNA was extracted from the hair shaft of the patients to amplify two target DNA fragment from mtDNA coding region and control region using PCR. The differences in the heterogeneity in the target DNA fragment was analyzed between diabetic patients and the control group with denaturing high-performance liquid chromatography (DHPLC).

RESULTSIn the control subjects and diabetic patients, the mtDNA heterogeneity in the black hair was 3% and 10% in 20-45 year-old groups and 9% and 17% in 45-70 year-old groups, as compared to 9%, 20%, 21%, and 40% in the white hair, respectively. The mtDNA heterogeneity in the black and white hair was both higher in the diabetic patients than in the control subjects of the same age group, and was also higher in older age subgroups in both control and diabetic groups (P<0.05). The white hair mtDNA showed a significantly higher heterogeneity than the black hair mtDNA in the two age groups of diabetic patients and in 45-70 year-old control group (P<0.05).

CONCLUSIONThe mtDNA heterogeneity in the hair increases in type 2 diabetic patients and show an association with aging.

Adult ; Age Factors ; Aging ; genetics ; Chromatography, High Pressure Liquid ; methods ; DNA, Mitochondrial ; genetics ; Diabetes Mellitus, Type 2 ; genetics ; metabolism ; Female ; Genetic Heterogeneity ; Hair ; metabolism ; Humans ; Male ; Middle Aged ; Young Adult