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.

Aim To observe the effect of Astragalus membranaceus and Angelica sinensis on the apoptosis of chondrocytes,and to investigate the effect of Astrag-alus membranaceus and Angelica sinensis on the sur-vival of fresh ostecartilage allograft.Methods Forty-eight 4-month-old New Zealand white rabbits,half male and half female,were randomly divided into sham operation group,model group,positive group and As-tragalus and Angelica 5∶1 group.In addition to the sham operation group,the other groups were both male and female donors and recipients for knee joint osteo-cartilage cross transplantation modeling.After 8 weeks of drug intervention,samples were taken for general observation,HE staining,saffrane-O staining,immu-nohistochemical staining,qPCR and Western blot de-tection.Results Compared with model group,As-tragalus and Angelica 5∶1 group and positive group,the repair site healed better,the morphology of osteo-chondrocytes tended to be normal,and the division and proliferation were obvious.Proteoglycan deposition in-creased and type Ⅱ collagen content was higher,the differences were statistically significant(P＜0.05).qPCR and Western blot results showed that compared with model group,the mRNA and protein expressions of Bax,caspase-3 and caspase-9 in other groups were significantly decreased(P＜0.05).Conclusion As-tragalus and Angelica can promote the survival of fresh osteochondral allograft,and its mechanism may be re-lated to promoting collagen production,promoting chondrocyte proliferation and inhibiting chondrocyte apoptosis.

Objective To investigate the diagnostic value of 62-slice spiral CT and its post-processing techniques for tibial plateau fracture(TPF)and its influence on treatment regimens selection.Methods A total of 173 TPF patients diagnosed and treated in our hospital from January 2021 to December 2022 were included,and the diagnostic accuracy,classification diagostic accuracy and fracture collapse degree accuracy of X-ray and CT scans were compared,with surgical and pathological diagnosis as the gold standard.Results CT and its post-processing technique can more clearly show the direction of fracture line,the displacement direction of fracture fragments and the collapse degree of articular surface than X-ray.The fracture morphology of 171 patients seen during the operation was consistent with CT and its post-processing images.The diagnostic accuracy of X-ray for TPF was 93.64%,which was lower than that of CT and its post-processing techniques(98.84% ),and the difference was statistically significant(χ2=6.474,P=0.011).The overall accuracy of X-ray in evaluating the degree of fracture collapse was significantly lower than that of CT 3D reconstruction(65.32% vs.90.75%;χ2=32.644,P<0.001).The total accuracy of CT and its post-processing techniques for TPF Schatzker classification(97.69% )was higher than that of X-ray(88.44% ),and the difference was statistically significant(χ2=11.462,P=0.001).Different CT reconstruction models had statistically significant difference on the total accuracy of TPF Schatzker classification diagnosis(χ2=40.647,P<0.001),and the diagnosis accuracy of volume reconstruction was the highest(96.53% ).Conclusion The application of CT and its post-processing techniques can effectively evaluate TPF,articular surface collapse and fracture classification,and provide imaging reference for clinical decision-making.

Objective:To investigate the current situation of falls in patients with amyotrophic lateral sclerosis (ALS) and analyze the influencing factors.Methods:A total of 110 ALS patients admitted to Department of Neurology of Peking University Third Hospital from February to April 2023 were selected as the research objects by the convenient sampling method. The Self-designed Patient General Data and Disease-related Questionnaire and Morse Fall Scale (MFS) were used for questionnaire investigation.Results:A total of 100 ALS patients were included, and the incidence of falls in ALS patients was 45.0% (45/100). Binomial Logistic regression analysis showed that gait abnormality, high risk of fall and abnormal muscle strength of lower extremity were risk factors for fall in ALS patients ( P<0.05) . Conclusions:Abnormal gait, high risk of falls and abnormal lower limb muscle strength are independent factors affecting falls in ALS patients, and they are important aspects in preventing and managing falls in ALS patients.

Aptamers are a type of single-chain oligonucleotide that can combine with a specific target.Due to their simple preparation,easy modification,stable structure and reusability,aptamers have been widely applied as biochemical sensors for medicine,food safety and environmental monitoring.However,there is little research on aptamer-target binding mechanisms,which limits their application and develop-ment.Computational simulation has gained much attention for revealing aptamer-target binding mecha-nisms at the atomic level.This work summarizes the main simulation methods used in the mechanistic a-nalysis of aptamer-target complexes,the characteristics of binding between aptamers and different targets (metal ions,small organic molecules,biomacromolecules,cells,bacteria and viruses ),the types of aptamer-target interactions and the factors influencing their strength.It provides a reference for further use of simulations in understanding aptamer-target binding mechanisms.

Objective To investigate the therapeutic effect and underlying mechanism of Qishishenshu Capsule on renal fibrosis in mice with early diabetic nephropathy(DN).Methods A DN mouse model was established by multiple injections of streptozotocin.The mice were randomly divided into a normal group(NC),model group(DN),and Qishi group(QS)(0.9 g/(kg·d)),with eight mice in each group.Mice were gavaged continuously for 4 weeks,and fasting blood glucose(FBG)was measured weekly.Four weeks later,urinary albumin/creatinine(UACR),serum creatinine,and blood urea nitrogen were measured.Hematoxylin-eosin,periodicacid-Schiff,and Sirius red staining were used to analyze renal pathological changes.Real-time fluorescence quantitative reverse-transcription polymerase chain reaction was used to detect the mRNA levels of fibronectin(FN),collagen type Ⅰ alpha 1(Col1a1),and α-smooth muscle actin(α-SMA).Immunohistochemistry and Western blot were performed to detect FN,collagen type Ⅰ(Collagen Ⅰ),collagen typeⅢ(Collagen Ⅲ),α-SMA,Podocin,Nephrin,and transforming growth factor-β1/SMAD family member2/3(TGF-β1/Smad2/3)pathway-related proteins.Results Compared with mice in the NC group,those in the DN group showed significantly higher levels of FBG and UACR(P＜0.001),and mesangial hyperplasia,basement membrane thickening,and collagen deposition in the renal tissue.The mRNA levels of FN,Col1a1,and α-SMA were increased(P＜0.05).Protein levels of Podocin and Nephrin were decreased(P＜0.05).The levels of FN,Collagen I,Collagen Ⅲ,α-SMA,and TGF-β1/Smad2/3 pathway proteins were increased(P＜0.05).Compared with the DN group,the QS group's level of UACR was decreased(P＜0.05),their renal pathological injury was alleviated,and mRNA levels of FN,Collagen Ⅰ,andα-SMA were attenuated(P＜0.05);whereas their protein levels of Podocin and Nephrin were elevated(P＜0.05).The levels of FN,Collagen Ⅰ,Collagen Ⅲ,α-SMA,and TGF-β1/Smad2/3 pathway proteins were also decreased(P＜0.05).Conclusions Qishishenshu Capsule improved renal fibrosis in DN mice,probably through the inhibition of the TGF-β1/Smad2/3 signaling pathway.

Objective:To detect the expression of L-type amino acid transporter 1(LAT1)in non-Hodgkin's lymphoma(NHL)tissues,and analyze its effect on clinicopathological characteristics and prognosis of patients.Methods:A total of 92 NHL patients who were treated in our hospital from January 2017 to April 2019 were collected.The expression of LAT1 in NHL tissue was detected by immunohistochemistry and compared between patients with different pathological features(including sex,Ann Arbor stage,extranodal infiltration,Ki-67).The risk factors affecting mortality were analyzed using univariate and multivariate Cox proportional hazards regression.Receiver operating characteristic(ROC)curve was used to detect the predictive value of percentage of LAT1-positive cells in NHL tissue for patient mortality,and analyzing the effect of percentage of LAT1-positive cells on survival rate.Results:LAT1 was positively expressed in NHL tissue.The high expression rate of LAT1 in Ann Arbor stage Ⅲ and Ⅳ groups were higher than that in Ann Arbor stage Ⅰ group,that in extranodal infiltration group was higher than non-extranodal infiltration group,and that in Ki-67 positive expression group was higher than Ki-67 negative expression group(all P＜0.05).The remission rate after 3 courses of treatment in high-LAT1 expression group was 70.7％,which was lower than 91.2％in low-LAT1 expression group(P＜0.05).Ann Arbor stage Ⅲ and Ⅳ,extranodal invasion,Ki-67 positive expression and increased expression of LAT1(LAT1-positive cell percentage score ≥ 2)were risk factors for mortality.The cut-off value of percentage of LAT1-positive cells for predicting NHL death was 45.6％,and the area under the ROC curve was 0.905(95％CI:0.897-0.924).The 3-year survival rate of high-LAT1 level group(the percentage of LAT1-positive cells ≥ 45.6％)was 50.00％,which was lower than 78.26％of low-LAT1 level group(P＜0.05).Conclusion:The expression level of LAT1 in NHL tissue increases,which affects Ann Arbor stage and extranodal infiltration of patients.LAT1 is a risk factor for death.

Objective:To analyze the prognostic nutritional index(PNI),controlling nutritional status(CONUT)and fibrinogen/albumin ratio(FAR)levels in elderly patients with multiple myeloma(MM)and their prognostic impact.Methods:The clinical data of 74 elderly MM patients diagnosed in Gansu Provincial Hospital from January 2020 to July 2022 were retrospectively analyzed.The optimal cut-off values for PNI,CONUT score and FAR were obtained by receiver operating characteristic(ROC)curve,which were used for grouping patients.The correlation of above three indexes with clinical parameters such as sex,serum calcium(Ca),β2-microglobulin(β2-MG),serum creatinine(Cr)in elderly MM patients were analyzed.The survival rates of patients with different levels of each index were compared.Univariate and multivariate analysis of the impact of clinical indicators on the prognosis of patients were performed.Results:The optimal cut-off values for PNI,CONUT score and FAR were 39.775,3.5 and 0.175,respectively,according to which the patients were divided into high and low group.Statistical analysis showed that there were significant differences in albumin level among different groups(all P＜0.05).In addition,there was a significant difference in hemoglobin between high-PNI group and low-PNI group(P＜0.05),while in sex distribution between high-FAR and low-FAR group(P＜0.05).The survival rate of elderly MM patients with increased PNI,decreased CONUT score and FAR was higher(all P＜0.05).Univariate and multivariate analysis showed that β2-MG,Cr,PNI,CONUT score and FAR were independent prognostic factors for elderly MM patients.Conclusion:PNI,CONUT score and FAR are related to some clinical indicators of elderly MM patients,and have an impact on the prognosis.

Objective:To analyze the clinical characteristics and prognosis of patients with CD5+diffuse large B-cell lymphoma(DLBCL).Methods:The clinical data of 161 newly treated DLBCL patients in Gansu Provincial Hospital from January 2013 to January 2020 were retrospectively analyzed.According to CD5 expression,the patients were divided into CD5+group and CD5-group.The clinical characteristics and prognosis of the two groups were statistically analyzed.Results:The median age of patients in CD5+group was 62 years,which was higher than 56 years in CD5-group(P=0.048).The proportion of women in CD5+group was 62.96％,which was significantly higher than 41.79％in CD5-group(P=0.043).The proportion of patients with IPI score＞2 in CD5+group was 62.96％,which was higher than 40.30％in CD5-group(P=0.031).Survival analysis showed that the median overall survival and progression-free survival time of patients in CD5+group were 27(3-77)and 31(3-76)months,respectively,which were both shorter than 30(5-84)and 32.5(4-83)months in CD5-group(P=0.047,P=0.026).Univariate analysis showed that advanced age,positive CD5 expression,triple or double hit at initial diagnosis,high IPI score and no use of rituximab during chemotherapy were risk factors for the prognosis of DLBCL patients.Further Cox multivariate regression analysis showed that these factors were also independent risk factors except for advanced age.Conclusion:CD5+DLBCL patients have a worse prognosis than CD5-DLBCL patients.Such patients are more common in females,with advanced age and high IPI score,which is a special subtype of DLBCL.

Objective:To analyze the clinical characteristics and occurrence of thrombotic/bleeding events of patients with myeloproliferative neoplasm(MPN),and explore the main influencing factors,and create a risk prediction.Methods:The clinical data of 126 MPN patients with BCR-ABL fusion gene negative in the Department of Hematology of Gansu Provincial Hospital from January 2016 to September 2021 were collected,and their clinical characteristics,occurrence of thrombotic/bleeding events and main influencing factors were analyzed and summarized retrospectively.Then,a risk prediction model for thrombotic/bleeding events in MPN patients was constructed.Results:Among 126 MPN patients,50 patients(39.7％)had experienced thrombotic/bleeding events,including 44 patients(34.9％)with thrombotic events and 6 patients(4.8％)with bleeding events.Among thrombotic diseases,cerebral thrombosis was the most common(23/44,52.3％),followed by 9 cases of limb artery thrombosis mainly characterized by finger and toe tip artery ischemia,occlusion and gangrene(9/44,20.5％).Bleeding events included intracerebral hemorrhage and gastrointestinal hemorrhage.Univariate analysis showed that hypertension,hyperhomocysteinemia,white blood cell(WBC)≥10 × 109/L,hematocrit(HCT)≥49％,platelet(PLT)≥600 × 109/L and JAK2V617F gene mutation were risk factors for thrombotic/bleeding events in MPN patients,while CALR gene mutation was a protective factor.Multivariate analysis showed that hypertension and PLT ≥ 600 × 109/L were independent risk factors for thrombotic/bleeding events in MPN patients.The goodness of fit of the constructed risk prediction model was 0.872,and the area under the ROC curve was 0.838.The model was validated with clinical data,the sensitivity,specificity and accuracy was 78.85％,87.83％and 84.13％,respectively.Conclusion:The risk of thrombotic/bleeding events in MPN patients with high WBC count,hypertension and hyperhomocysteinemia is higher.Controlling hypertension and hyperhomocysteinemia and reducing WBC and PLT counts are helpful to prevent thrombotic/bleeding events and improve the life quality of patients.