Objective:To investigate the effect of laparoscopic splenectomy and azygoportal disconnection (LSD) on liver synthesis and development of liver cirrhosis.Methods:This is a prospective case series study.The clinical data of liver cirrhotic patients with portal hypertension who received LSD at the Department of Hepatobiliary Surgery of Northern Jiangsu People′s Hospital Affiliated to Yangzhou University from September 2014 to January 2016 were included. This study analyzed the diameter of the portal vein, the velocity of portal blood flow, the routine blood parameters, the liver function, the synthetic proteins of liver (antithrombin Ⅲ (AT-Ⅲ), protein S, protein C), and the serum content of liver fibrotic markers(collagen type Ⅳ, procollagen type Ⅲ, laminin, hyaluronidase). Repeated measures ANOVA was used for comparison between multiple groups, and least significance difference was used for post-hoc multiple comparison.Results:A total of 106 patients were included in the study, including 70 males and 36 females, aged (51.8±9.8) years(range: 28 to 75 years).Compared with the preoperative results, the diameter of portal vein and the velocity of portal vein decreased after surgery ( F=14.03, 12.15, respectively, both P<0.01). Compared with the preoperative results, the total bilirubin, albumin, prothrombin time, international normalized ratio, Child-Pugh score and classification were improved ( F=17.96, 56.01, 66.63, 35.83, 33.49, and 27.50, respectively, all P<0.01), and the AT-Ⅲ, protein S, protein C,collagen type Ⅳ, procollagen type Ⅲ, laminin and hyaluronidase levels were also improved ( F=47.87, 36.26, 18.02, 2.79, 14.58, 44.35, and 14.38, respectively, all P<0.01). Compared with the preoperative period, the diameter of portal vein was reduced from the first week to the 24 th month after surgery ( t=5.45 to 9.39, all P<0.01). Compared with the preoperative period, the velocity of portal vein blood from the first week after surgery to the 24 th month after surgery was decreased ( t=4.02 to 8.43, all P<0.01). Compared with the preoperative period, routine blood parameters (white blood count, hemoglobin, platelet count), liver function (total bilirubin, albumin, prothrombin time, international normalized ratio, Child-Pugh score), liver synthetic protein (AT-Ⅲ, protein S, protein C) and liver fibrotic markers (collagen type Ⅳ, procollagen type Ⅲ, laminin, hyaluronidase) were improved to varying degrees at the 24th month after surgery ( t=-20.46 to 11.93, all P<0.01). Conclusion:Preliminary findings show that LSD can reduce portal vein pressure, restore blood cell number, and improve liver synthesis function and the degree of liver fibrosis in patients with portal hypertension in liver cirrhosis.

Objective:To investigate the effect of laparoscopic splenectomy and azygoportal disconnection (LSD) on liver synthesis and development of liver cirrhosis.Methods:This is a prospective case series study.The clinical data of liver cirrhotic patients with portal hypertension who received LSD at the Department of Hepatobiliary Surgery of Northern Jiangsu People′s Hospital Affiliated to Yangzhou University from September 2014 to January 2016 were included. This study analyzed the diameter of the portal vein, the velocity of portal blood flow, the routine blood parameters, the liver function, the synthetic proteins of liver (antithrombin Ⅲ (AT-Ⅲ), protein S, protein C), and the serum content of liver fibrotic markers(collagen type Ⅳ, procollagen type Ⅲ, laminin, hyaluronidase). Repeated measures ANOVA was used for comparison between multiple groups, and least significance difference was used for post-hoc multiple comparison.Results:A total of 106 patients were included in the study, including 70 males and 36 females, aged (51.8±9.8) years(range: 28 to 75 years).Compared with the preoperative results, the diameter of portal vein and the velocity of portal vein decreased after surgery ( F=14.03, 12.15, respectively, both P<0.01). Compared with the preoperative results, the total bilirubin, albumin, prothrombin time, international normalized ratio, Child-Pugh score and classification were improved ( F=17.96, 56.01, 66.63, 35.83, 33.49, and 27.50, respectively, all P<0.01), and the AT-Ⅲ, protein S, protein C,collagen type Ⅳ, procollagen type Ⅲ, laminin and hyaluronidase levels were also improved ( F=47.87, 36.26, 18.02, 2.79, 14.58, 44.35, and 14.38, respectively, all P<0.01). Compared with the preoperative period, the diameter of portal vein was reduced from the first week to the 24 th month after surgery ( t=5.45 to 9.39, all P<0.01). Compared with the preoperative period, the velocity of portal vein blood from the first week after surgery to the 24 th month after surgery was decreased ( t=4.02 to 8.43, all P<0.01). Compared with the preoperative period, routine blood parameters (white blood count, hemoglobin, platelet count), liver function (total bilirubin, albumin, prothrombin time, international normalized ratio, Child-Pugh score), liver synthetic protein (AT-Ⅲ, protein S, protein C) and liver fibrotic markers (collagen type Ⅳ, procollagen type Ⅲ, laminin, hyaluronidase) were improved to varying degrees at the 24th month after surgery ( t=-20.46 to 11.93, all P<0.01). Conclusion:Preliminary findings show that LSD can reduce portal vein pressure, restore blood cell number, and improve liver synthesis function and the degree of liver fibrosis in patients with portal hypertension in liver cirrhosis.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

OBJECTIVES: To study the impact of family socioeconomic status on children's reading fluency and the chain mediation effect of family reading environment and children's living and learning styles in this relationship. METHODS: A total of 473 children from grades 2 to 6 in two primary schools in Nanjing were selected through stratified random sampling. The children's reading fluency was assessed, and a questionnaire was used to collect information on family socioeconomic status, family reading environment, and children's living and learning styles. The mediation model was established using the Process macro in SPSS, and the Bootstrap method was employed to test the significance of the mediation effects. RESULTS: Family socioeconomic status, family reading environment, and children's living and learning styles were significantly positively correlated with reading fluency (P<0.001). The family reading environment and children's living and learning styles mediated the relationship between family socioeconomic status and children's reading fluency. Specifically, the independent mediation effect of family reading environment accounted for 11.02% of the total effect, while the independent mediation effect of children's living and learning styles accounted for 10.79%. The chain mediation effect of family reading environment and children's living and learning styles accounted for 7.41% of the total effect. CONCLUSIONS Family socioeconomic status can affect children's reading fluency through three pathways: family reading environment, children's living and learning styles, and the chain mediation effect of family reading environment and children's living and learning styles.
Humans ; Child ; Male ; Female ; Reading ; Learning ; Social Class ; Family

Objective To analyze the pathogenic characteristics and drug sensitivity of candidaemia,and construct a short-term mortality risk prediction scoring model.Methods The clinical data of patients with candidaemia admitted to the 909 Hospital of Joint Logistics Support Force from January 2011 to December 2020 were retrospectively analyzed,and the composition of pathogen composition,drug sensitivity test results and incidence of hospitalized patients were analyzed.324 cases of candidaemia were randomly divided into modeling group(190 cases)and validation group(134 cases),and the risk factors were screened by binary logistic regression.According to the odds ratio(OR)score,the 30 day mortality risk prediction scoring model was constructed,and the predictive performance of the model was verified both in modeling and validation groups.Results 356 strains of Candida including 126 strains of C.albicans(35.39%),79 strains of C.tropicalis(22.19%),74 strains of C.parapsilosis(20.79%),48 strains of C.glabrata(13.48%),14 strains of C.guilliermondii(3.93%),8 strains of C.krusei(2.25%),and 7 strains of other Candida(1.97%)were detected in 336 patients with candidemia.The incidence of candidaemia among hospitalized patients increased from 0.20 ‰ in 2011 to 0.48 ‰ in 2020.The resistance rate of candida to amphotericin B was significantly lower than that of fluconazole,voriconazole and itraconazole(P＜0.05).Among the 324 cases included in the model,95 patients died in 30 days after diagnosis,and the mortality rate was 29.32%.The proportion of males,fever,and parenteral nutrition in modeling group was significantly higher than that in validation group(P＜0.05),while the proportion of chronic lung disease and surgical history within one month were lower than those in validation group(P＜0.05).Logistic regression analysis showed that chronic renal failure,mechanical ventilation,severe neutropenia,failure to receive anti-fungal treatment within 72 hours,and APACHE Ⅱ≥20 were risk factors for short-term death of candidaemia,the OR values were 3.179,1.970,2.979,2.080,and 2.399,and the risk scores were 6,4,6,4,and 5,respectively.The area under the curve(AUC)of the risk scoring model for modeling group was 0.792(95%CI 0.721-0.862),and the result of Hosmer-Lemeshow(H-L)test was P=0.305;The AUC of validation group was 0.796(95%CI 0.735-0.898),and the H-L test result was P=0.329.A risk score≤8 indicated a low risk group for short-term mortality,a score of 9-15 indicated a medium risk group,and a score≥16 indicated a high risk group.Conclusions The incidence of candidemia in hospitalized patients is increasing and the mortality is high.The risk prediction score model can effectively predict the short-term prognosis and facilitate the early identification of the prognosis.

With the increasing incidence of diabetes mellitus in recent years， cardiomyopathy caused by diabetes mellitus has aroused wide concern and this disease is characterized by high insidiousness and high mortality. The early pathological changes of diabetic cardiomyopathy （DCM） are mitochondrial structural disorders and loss of myocardial metabolic flexibility. The turbulence of mitochondrial quality control （MQC） is a key mechanism leading to the accumulation of damaged mitochondria and loss of myocardial metabolic flexibility， which， together with elevated levels of oxidative stress and inflammation， trigger changes in myocardial structure and function. Qi deficiency and stagnation is caused by the loss of healthy Qi， and the dysfunction of Qi transformation results in the accumulation of pathogenic Qi， which further triggers injuries. According to the theory of traditional Chinese medicine （TCM）， DCM is rooted in Qi deficiency of the heart， spleen， and kidney. The dysfunction of Qi transformation leads to the generation and lingering of turbidity， stasis， and toxin in the nutrient-blood and vessels， ultimately damaging the heart. Therefore， Qi deficiency and stagnation is the basic pathologic mechanism of DCM. Mitochondria， similar to Qi in substance and function， are one of the microscopic manifestations of Qi. The role of MQC is consistent with the defense function of Qi. In the case of MQC turbulence， mitochondrial structure and function are impaired. As a result， Qi deficiency gradually emerges and triggers pathological changes， which make it difficult to remove the stagnant pathogenic factor and aggravates the MQC turbulence. Ultimately， DCM occurs. Targeting MQC to treat DCM has become the focus of current research， and TCM has the advantages of acting on multiple targets and pathways. According to the pathogenesis of Qi deficiency and stagnation in DCM and the modern medical understanding of MQC， the treatment should follow the principles of invigorating healthy Qi， tonifying deficiency， and regulating Qi movement. This paper aims to provide ideas for formulating prescriptions and clinical references for the TCM treatment of DCM by targeting MQC.

Gorham-Stout disease(GSD)is a sporadic chronic disease characterized by progressive bone dissolution,absorption,and disappearance along with lymphatic vessel infiltration in bone-marrow cavities.Although the osteolytic mechanism of GSD has been widely studied,the cause of lymphatic hyperplasia in GSD is rarely investigated.In this study,by comparing the RNA expression profile of osteoclasts(OCs)with that of OC precursors(OCPs)by RNA sequencing,we identified a new factor,semaphorin 3A(Sema3A),which is an osteoprotective factor involved in the lymphatic expansion of GSD.Compared to OCPs,OCs enhanced the growth,migration,and tube formation of lymphatic endothelial cells(LECs),in which the expression of Sema3A is low compared to that in OCPs.In the presence of recombinant Sema3A,the growth,migration,and tube formation of LECs were inhibited,further confirming the inhibitory effect of Sema3A on LECs in vitro.Using an LEC-induced GSD mouse model,the effect of Sema3A was examined by injecting lentivirus-expressing Sema3A into the tibiae in vivo.We found that the overexpression of Sema3A in tibiae suppressed the expansion of LECs and alleviated bone loss,whereas the injection of lentivirus expressing Sema3A short hairpin RNA(shRNA)into the tibiae caused GSD-like phenotypes.Histological staining further demonstrated that OCs decreased and osteocalcin increased after Sema3A lentiviral treatment,compared with the control.Based on the above results,we propose that reduced Sema3A in OCs is one of the mechanisms contributing to the pathogeneses of GSD and that expressing Sema3A represents a new approach for the treatment of GSD.

Objective:RS4;11 cell line was used to establish BCL-2 inhibitor-resistant cell lines of B-cell acute lymphoblastic leukemia(B-ALL)and explore the possible mechanisms of drug resistance.Methods:RS4;11 cell line was continuously induced and cultured by low and ascending concentrations of BCL-2 inhibitors navitoclax and venetoclax to construct navitoclax-resistant cell line RS4;11/Nav and venetoclax-resistant cell line RS4;11/Ven.The cell viability was detected by MTT assay,and the cell apoptosis was detected by flow cytometry.Differentially expressed genes(DEGs)between RS4;11 drug-resistant cell lines and parental cell line were detected by transcriptome sequencing technology(RNA-seq),and mRNA expression levels of DEGs between drug-resistant cell lines and parental cell line were detected by real-time PCR(RT-PCR).Western blot was used to detect the expression levels of BCL-2 family anti-apoptotic proteins in drug-resistant cell lines and parental cell line.Results:The drug-resistant cell lines RS4;11/Nav and RS4;11/Ven were successfully established.The resistance index(RI)of RS4;11/Nav to navitoclax and RS4;11/Ven to venetoclax was 328.655±47.377 and 2 894.027±300.311,respectively.The results of cell apoptosis detection showed that compared with the drug-resistant cell lines,RS4;11 parental cell line were significantly inhibited by BCL-2 inhibitors,while the apoptosis rate of drug-resistant cell lines was not affected by the drugs.Western blot assay showed that the expression of anti-apoptotic proteins of BCL-2 family did not increase significantly in drug-resistant cell lines.RNA-seq,RT-PCR and Western blot assays showed that the expression of EP300 in drug-resistant cell lines was significantly higher than that in parental cell line(P＜0.05).Conclusion:Drug-resistant B-ALL cell lines could be successfully established by exposing RS4;11 cell line to the ascending concentration of BCL-2 inhibitors,and the drug resistance mechanism may be related to the overexpression of EP300.

Objective:To explored the correlation between anxiety and depression and cerebral small vessel disease(CSVD)in the elderly patients with type 2 diabetes mellitus(T2DM), and analyzed the influencing factors of anxiety and depression.Methods:Clinical data of 101 elderly T2DM inpatients admitted to the Department of Endocrinology, the Second Affiliated Hospital of Fujian Medical University from July 2020 to December 2021 were retrospectively analyzed, and clinical features, laboratory tests and examination data were collected.The Hamilton Depression Scale and the Hamilton Anxiety Scale were used for assessment, with a cut-off value of 14 points for anxiety and 8 points for depression.Brain scans were performed using 3.0T magnetic resonance scanner, including T1WI sequence, T2WI sequence, 3D-FLAIR sequence, SWI sequence.According to the total MRI load scoring standard of CSVD proposed by Staals, MRI imaging changes of CSVD, namely lacunar foci(LIs), cerebral microhemorrhage(CMBs), perivascular space(PVSs), and white matter high signal(WMHs), were analyzed and scored respectively.Load score ≥1 was defined as CSVD group.According to the above criteria, the enrolled patients were divided into depression group and anxiety group, and the clinical characteristics, biochemical test data and MRI imaging characteristics of CSVD between the two groups were analyzed by single factor analysis, and then Spearman correlation analysis was used to analyze the related factors of the elderly T2DM with anxiety and depression.Binary logistic analysis was used to analyze the risk factors of depression and anxiety in the elderly patients with T2DM.Results:Compared with the non-depressed group, the elderly T2DM patients with depression were older, more female, and the incidence of WMHs and DWMHs was higher( P<0.05).Compared with the non-anxious group, the incidence of WMHs and DWMHs in the elderly T2DM patients with anxiety group was higher( P<0.05).Spearman correlation analysis showed that age( r=0.224, P=0.024), WMHs( r=0.231, P=0.020), PWMHs( r=0.201, P=0.044), DWMHs( r=0.274, P=0.006)was positively correlated with depression in the elderly T2DM, while gender( r=-0.225, P=0.024)、ALT( r=-0.208, P=0.037)、AST( r=-0.204, P=0.041)was negatively correlated with depression in the elderly T2DM.WMHs( r=0.213, P=0.033)and DWMHs( r=0.270, P=0.006)were positively correlated with anxiety in the elderly T2DM.Binary logistic regression analysis showed that gender( OR=0.359, 95% CI: 0.130-0.990, P=0.048), DWMHs(OR=4.373, 95% CI: 1.290-14.828, P=0.018)were the influencing factors for the elderly T2DM patients with depression, and DWMHs( OR=5.000, 95% CI: 1.444-17.317, P=0.011)was the influencing factors for the elderly T2DM patients with anxiety. Conclusions:DWMHs is closely related to the onset of depression and anxiety in the elderly T2DM patients, suggesting that CSVD may be involved in the development of depression and anxiety in the elderly T2DM patients.