Objective: To investigate the relationship of metabolic score for insulin resistance (METS-IR) with bone mineral content (BMC) and bone metabolic markers levels among adolescents, so as to provide a scientific foundation for the early identification and prevention of bone related diseases. Methods: From 2017 to 2019 and 2023, a total of 1 414 adolescents aged 12-18 years from Yinchuan were selected using a method combining convenient sampling with stratified cluster random sampling. The data of basic information, body mass index, BMC, serum osteocalcin (OC), type I collagen cross linked C-terminal peptide (CTX) and calcium (Ca), METS-IR among adolescents were obtained by questionnaire survey, physical measurement and laboratory examination,and METS-IR was divided into four groups Q1-Q 4 according to P 25 , P 50 and P 75 . Logistic regression models combined with restricted cubic splines were employed to analyze the relationship between METS-IR and low BMC as well as low bone metabolic markers. The receiver operating characteristic (ROC) curve was used to evaluate METS-IR effectiveness in diagnosing low BMC. Results: The levels of BMC, OC, CTX, Ca and METS-IR in the surveyed adolescents were (2.66±0.52)kg, (20.49±13.77) ng/mL , (2 460.89±1 818.96)pg/mL, (2.47±0.67)mmol/L, 30.63±7.58. After adjusting for gender, age and physical activity level, METS-IR in Q 4 group had a reduced risk of low BMC and low CTX [ OR (95% CI )=0.03(0.01-0.07), 0.45(0.32-0.65)] and an elevated risk of low OC [ OR (95%CI )=1.85(1.28-2.67)], compared with the Q 1 group (all P <0.05). Gender stratified analyses revealed similar trends for both males and females (all P <0.05). Non linear dose response relationships were observed between METS-IR and low BMC ( P total trend <0.01, P non linearity =0.01), as well as low OC ( P total trend <0.01, P non linearity =0.01), while a linear relationship was detected with low CTX ( P total trend <0.01, P non linearity =0.72). ROC curves revealed that METS-IR had the best diagnostic performance for low BMC (AUC=0.85, 95% CI=0.82-0.88, P <0.01). Conclusions Higher METS-IR score is linked to reduced risk of low BMC and CTX but increase risk of low OC among adolescents. These findings suggest METS-IR is a reliable indicator for assessing BMC and early predicting bone health risk among adolescents.

Right heart dysfunction is a key impact factor of prognosis of various cardiovascular diseases,yet the assessment of right heart function has long been overlooked in management of cardiovascular diseases.Cardiac MR feature tracking(CMR-FT)is an emerging technique that enables quantitative analysis of global and regional strain without the need for additional imaging sequences.The advancements of CMR-FT for assessing right heart strain were reviewed in this article.

ObjectiveTo assess the relapse rate， clinical efficacy， and safety of a traditional Chinese medicine （TCM） sequential syndrome differentiation protocol for frequently relapsing/steroid-dependent nephrotic syndrome （FRNS/SDNS） in children. MethodsA total of 151 children with FRNS/SDNS treated in the First Affiliated Hospital of Henan University of Chinese Medicine from December 2020 to June 2024 were randomized into an observation group （77 cases） and a control group （74 cases）. Both groups received Western medicine （prednisone tablets and tacrolimus capsules）. In addition， the observation group additionally underwent TCM sequential syndrome differentiation and the control group received 1/10 of the TCM dose. The 6-month intervention was followed by a 12-month follow-up， totaling 18 months of observation across seven time points （before treatment and after 1， 2， 4， 24， 52， 76 weeks of treatment）. The evaluation was carried out based on the following indicators. ① The relapse rates were mainly recorded after 24， 52， 76 weeks of treatment. ② The efficacy was evaluated based on the clinical remission rates after 1， 2， 4 weeks of treatment， the time to proteinuria clearance， the levels of 24-hour urine total protein （24-h UTP）， serum total protein （TP）， serum albumin （ALB）， cholesterol （CHO）， and triglycerides （TG） and the TCM symptom scores before treatment and after 24 weeks of treatment. ③ The treatment safety was evaluated based on blood routine and levels of liver enzymes， renal function indicators and blood glucose （Glu） before treatment and after 24 weeks of treatment. Results① Relapse rate： After 24 weeks of treatment， no significant difference in relapse rate was found between the two groups. The observation group showed lower relapse rates than the control group after 52 weeks of treatment ［24.2% （16/66） vs. 52.5% （31/59）， χ²=10.634， P<0.01］ and 76 weeks of treatment ［42.4% （28/66） vs. 74.6% （44/59）， χ²=13.186， P<0.01］ than the control group. ② Efficacy indicators： The two groups showed no significant difference in remission rate after 1 week of treatment. The observation group demonstrated higher remission rates after 2 weeks of treatment ［88.2% （67/76） vs. 74.0% （54/73）， Z=-1.999， P<0.05］ and 4 weeks of treatment ［94.7% （72/76） vs. 82.2% （60/73）， Z=-2.3589， P<0.05）. In addition， the observation group had shorter time to proteinuria clearance （P<0.01）. After treatment， both groups showed declined 24 h-UTP， CHO， TG， and TCM symptom scores and elevated TP and ALB levels （P<0.01）， and the observation group had lower CHO， TG， and TCM symptom scores and higher TP and ALB than the control group （P<0.05）. ③ Safety indicators： After treatment， both groups showed declined white blood cell count （WBC）， red blood cell count （RBC）， hemoglobin （HB）， and alanine aminotransferase （ALT） （P<0.05， P<0.01） and elevated Glu （P<0.01） and blood urea nitrogen （BUN） （P<0.05）. After 24 weeks of treatment， none of WBC， RBC， HB， PLT， ALT， AST， BUN， Cr or Glu had significant differences between groups. Moreover， the incidence of adverse reactions showed no significant difference between the two groups. ConclusionThe TCM sequential syndrome differentiation protocol effectively reduces the relapse rate， improves the remission rate， shortens the time to proteinuria clearance， raised serum protein levels， lowers blood lipid levels， and alleviates symptoms， demonstrating good clinical safety in children with FRNS/SDNS.

Objective To find potential effect of Ginkgo biloba extract on proliferation and migration of human gli-oma cell line.Methods Glioma cell line U87 was cultured and incubated with Ginkgo biloba extract at doses of 0,10,50,and 100 μg/mL,respectively.The proliferation activity of the cells in each group was detected by 5-ethynyl-2'-deoxyuridine(EDU)experiment,the migration activity of the cells in each group was examined by scratch experiment,the invasion activity of the cells in each group was detected by Transwell experiment and the expression of epithelial-mesenchymal transition(EMT)-related proteins,phosphatidylinositol-3-kinase(PI3K)/protein kinase B(AKT)signaling pathway proteins and E2F transcription factor 1(E2F1)protein in each group of the cells were detected by Western blot.Reply experiment was added with PI3K/AKT pathway activator 740 Y-P.Results Ginkgo biloba extract at concentrations of 10,50,and 100 μg/mL significantly inhibited the proliferation,migration,and invasion of U87 cells(P＜0.05).The protein level of vimentin,N-cadherin,p-PI3K,p-AKT and E2F1 was significantly decreased(P＜0.05),while the protein level of E-cadherin and ZO-1 was significantly increased(P＜0.05).After addition of 740 Y-P into the cultural system,the inhibitory effect of Ginkgo biloba extract on the proliferation and metastasis of U87 cells was inhibited and the protein level of vimentin,N-cadherin,p-PI3K,p-AKT,and E2F1 increased(P＜0.05),while the protein level of E-cadherin and ZO-1 was decreased(P＜0.05).Conclusions Ginkgo biloba extract may inhibit proliferation,migration and EMT of U87 cells,which is potentially related to the PI3K/AKT/E2F1 pathway.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.

Objective To investigate the distribution characteristics of Klebsiella pneumoniae(KP),hyperviru-lent Klebsiella pneumoniae(hvKP),carbapenem-resistant Klebsiella pneumoniae(CRKP),and hypervirulent car-bapenem-resistant Klebsiella pneumoniae(hv-CRKP/CR-hvKP)in the environment of general intensive care unit(ICU)at medical institutions,and provide reference for environment assessment as well as healthcare-associated in-fection(HAI)prevention and control in ICU.Methods A total of 3 336 environmental specimens were collected from general ICUs of medical institutions in Shanghai in 2019 and 2023.After strain isolation,antimicrobial suscep-tibility testing and whole genome sequencing were conducted.Results The detection rate of KP was 1.59％(n=53),among which hvKP,CRKP,and hv-CRKP/CR-hvKP accounted for 37.74％(20/53),52.83％(28/53),and 24.53％(13/53)of the total detected strains,respectively.The main types of hvKP were ST11-KL64 and ST11-KL25,CRKP were ST15-KL19 and ST11-KL25,hv-CRKP/CR-hvKP were ST11-KL25 and ST11-KL64.The main carried resistance genes included fosA,oqx AB,tet(A),blaTEM-1B,blaKPC-2,qnrS11,etc.All strains carried viru-lence genes fimH,iutA,ent A,entB,entC,entD,entE,and entF,with only one strain carrying rmp A gene.Conclusion KP contamination is widespread in general ICU environment of medical institutions,predominantly ST11 and ST15,presenting a polymorphic distribution.CRKP and hvKP account for a relatively high proportion,and multidrug resistance is serious.Co-evolution of drug resistance and virulence presents in KP,and poses signifi-cant infection and pathogenic risks to patients,necessitating enhanced clinical vigilance and preparedness for poten-tial outbreaks.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.

Objective To investigate the distribution characteristics of Klebsiella pneumoniae(KP),hyperviru-lent Klebsiella pneumoniae(hvKP),carbapenem-resistant Klebsiella pneumoniae(CRKP),and hypervirulent car-bapenem-resistant Klebsiella pneumoniae(hv-CRKP/CR-hvKP)in the environment of general intensive care unit(ICU)at medical institutions,and provide reference for environment assessment as well as healthcare-associated in-fection(HAI)prevention and control in ICU.Methods A total of 3 336 environmental specimens were collected from general ICUs of medical institutions in Shanghai in 2019 and 2023.After strain isolation,antimicrobial suscep-tibility testing and whole genome sequencing were conducted.Results The detection rate of KP was 1.59％(n=53),among which hvKP,CRKP,and hv-CRKP/CR-hvKP accounted for 37.74％(20/53),52.83％(28/53),and 24.53％(13/53)of the total detected strains,respectively.The main types of hvKP were ST11-KL64 and ST11-KL25,CRKP were ST15-KL19 and ST11-KL25,hv-CRKP/CR-hvKP were ST11-KL25 and ST11-KL64.The main carried resistance genes included fosA,oqx AB,tet(A),blaTEM-1B,blaKPC-2,qnrS11,etc.All strains carried viru-lence genes fimH,iutA,ent A,entB,entC,entD,entE,and entF,with only one strain carrying rmp A gene.Conclusion KP contamination is widespread in general ICU environment of medical institutions,predominantly ST11 and ST15,presenting a polymorphic distribution.CRKP and hvKP account for a relatively high proportion,and multidrug resistance is serious.Co-evolution of drug resistance and virulence presents in KP,and poses signifi-cant infection and pathogenic risks to patients,necessitating enhanced clinical vigilance and preparedness for poten-tial outbreaks.

Right heart dysfunction is a key impact factor of prognosis of various cardiovascular diseases,yet the assessment of right heart function has long been overlooked in management of cardiovascular diseases.Cardiac MR feature tracking(CMR-FT)is an emerging technique that enables quantitative analysis of global and regional strain without the need for additional imaging sequences.The advancements of CMR-FT for assessing right heart strain were reviewed in this article.