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.

This study aims to explore the effects and action mechanisms of the active ingredients in Buyang Huanwu Decoction(BYHWD), namely tetramethylpyrazine(TMP) and hydroxy-safflor yellow A(HSYA), on oxygen-glucose deprivation/reglucose-reoxygenation(OGD/R)-induced inflammation and oxidative stress of microglia(MG). Network pharmacology was used to screen the effective monomer ingredients of BYHWD and determine the safe concentration range for each component. Inflammation and oxidative stress models were established to further screen the best ingredient combination and optimal concentration ratio with the most effective anti-inflammatory and antioxidant effects. OGD/R BV2 cell models were constructed, and BV2 cells in the logarithmic growth phase were divided into a normal group, a model group, an HSYA group, a TMP group, and an HSYA + TMP group. Enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of inflammatory cytokines such as interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), and interleukin-6(IL-6). Oxidative stress markers, including superoxide dismutase(SOD), nitric oxide(NO), and malondialdehyde(MDA), were also measured. Western blot was used to analyze the protein expression of both inflammation-related pathway [Toll-like receptor 4(TLR4)/nuclear factor-kappa B(NF-κB)] and oxidative stress-related pathway [nuclear factor erythroid 2-related factor 2(Nrf2)/heme oxygenase-1(HO-1)]. Immunofluorescence was used to assess the expression of proteins such as inducible nitric oxide synthase(iNOS) and arginase-1(Arg-1). The most effective ingredients for anti-inflammatory and antioxidant effects in BYHWD were TMP and HSYA. Compared to the normal group, the model group showed significantly increased levels of IL-1β, TNF-α, IL-6, NO, and MDA, along with significantly higher protein expression of NF-κB, TLR4, Nrf2, and HO-1 and significantly lower SOD levels. The differences between the two groups were statistically significant. Compared to the model group, both the HSYA group and the TMP group showed significantly reduced levels of IL-1β, TNF-α, IL-6, NO, and MDA, lower expression of NF-κB and TLR4 proteins, higher levels of SOD, and significantly increased protein expression of Nrf2 and HO-1. Additionally, the expression of the M1-type MG marker iNOS was significantly reduced, while the expression of the M2-type MG marker Arg-1 was significantly increased. The results of the HSYA group and the TMP group had statistically significant differences from those of the model group. Compared to the HSYA group and the TMP group, the HSYA + TMP group showed further significant reductions in IL-1β, TNF-α, IL-6, NO, and MDA levels, along with significant reductions in NF-κB and TLR4 protein expression, an increase in SOD levels, and elevated Nrf2 and HO-1 protein expression. Additionally, the expression of the M1-type MG marker iNOS was reduced, while the M2-type MG marker Arg-1 expression increased significantly in the HSYA + TMP group compared to the TMP or HSYA group. The differences in the results were statistically significant between the HSYA + TMP group and the TMP or HSYA group. The findings indicated that the combined use of HSYA and TMP, the active ingredients of BYHWD, can effectively inhibit OGD/R-induced inflammation and oxidative stress of MG, showing superior effects compared to the individual use of either component.
Oxidative Stress/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Animals ; Mice ; Glucose/metabolism* ; Cell Line ; Inflammation/genetics* ; Oxygen/metabolism* ; Pyrazines/pharmacology* ; Microglia/metabolism* ; NF-E2-Related Factor 2/immunology* ; NF-kappa B/immunology* ; Toll-Like Receptor 4/immunology* ; Anti-Inflammatory Agents/pharmacology* ; Humans

OBJECTIVE: To analyze the effects of the Focused Solution Model Nursing intervention on quality of life, negative emotions of the patients with prostate cancer. Methods： A total of 82 prostate cancer patients who were diagnosed and treated at the General Hospital of Eastern Theater Command between September 2022 and September 2024 were included and randomly divided into study group and control group by the method of random number table, with 41 patients in each group. The patients in the study group were treated with Focused Solution Model Nursing intervention. And the routine care was used in the control group The quality of life and negative emotions were compared between the two groups by using the scales of World Health Organization Quality of Life-Brief (WHOQOL-BREF), HAMA and HAMD. RESULTS: Compared to the control group, the patients in the study group exhibited significantly higher scores in the physiological, psychological, environmental, and social relationship domains of the WHOQOL-BREF scale (P<0.05). The scores of HAMA and HAMD in study group were lower than those of the control group (P<0.05). Additionally, all subscales of the Social Impact Scale including social exclusion, internalized shame, social isolation and economic discrimination were significantly lower than those of the study group (P<0.05). CONCLUSION Focused Solution Model Nursing intervention can effectively improve the quality of life and negative emotions of the prostate cancer patients in the clinical treatment.
Humans ; Male ; Quality of Life ; Prostatic Neoplasms/nursing* ; Emotions ; Surveys and Questionnaires ; Middle Aged

Sodium ; Wastewater ; Potassium ; Diet ; Blood Pressure ; China ; Sodium, Dietary ; Sodium Chloride, Dietary

Objective:To understand the effect of collagen peptides on the function of mouse lymphocytes under simulated microgravity.Methods:The splenocytes of mice were isolated,and the rotary cell culture system was used to simulate the microgravity.The T lymphocytes were stimulated with mitotic agents,concanavalin A(ConA),and the cells were treated with different concentrations of collagen peptides.The proliferation of lymphocytes and the levels of cytokines in the supernatant were detected.Results:Simulated microgravity could inhibit the proliferation of spleen T lymphocytes and decrease the level of cytokines in the supernatant.Collagen peptides could promote the lymphocyte proliferation and cytokine production in cells cultured under simulated microgravity.Conclusion:Collagen peptides may attenuate the inhibitory effect of simulated microgravity on T lymphocytes by regulating the cell proliferation and the secretion of cytokines.

Objective:To investigate the clinical characteristics and prognosis of single center adult chronic myeloid leukemia in chronic phase(CML-CP).Methods:Clinical data of 41 adult CML-CP patients in Department of Hematology,Shanghai Fengxian District Central Hospital from January 2015 to May 2021 were retrospectively analyzed.The clinical characteristics and prognosis of patients between＜60 years group and ≥ 60 years group were compared.Results:The 41 patients included 27(65.9％)males and 14(34.1％)females.The median age of the patients was 56(19-84)years,with 22 cases(53.7％)＜60 years and 19 cases(46.3％)≥60 years.Univariate analysis indicated that the proportions of patients with comorbidities,intermediate/high-risk Sokal score,myelofibrosis,and lactate dehydrogenase ≥1 000 U/L were significantly increased in ≥60 years group compared with＜60 years group at initial diagnosis(all P＜0.05).There were no statistical differences in the distribution of sex,ELST score,white blood cell count,platelet count,peripheral blood basophil percentage,peripheral blood eosinophil percentage and bone marrow primitive cell percentage between the two groups(P＞0.05).The proportion of patients taking reduced-dose imatinib in≥60 years group significantly increased(P＜0.001).Patients＜60 years had a higher proportion of molecular biological remission after treatment of tyrosine kinase inhibitors(TKIs)than patients ≥ 60 years(P＜0.001).The incidence of non-hematologic adverse reactions to TKI therapy significantly increased in patients ≥ 60 years(P＜0.001).Multivariate analysis showed that no adverse factors affecting the efficacy and prognosis of TKI.Conclusion:Compared with adult CML-CP patients＜60 years,patients ≥ 60 years gain fewer benefits from TKI treatment and increased adverse reactions.

AIM To screen anti-inflammatory activity Q-markers for Glycyrrhizae Radix et Rhizoma.METHODS Lipopolysaccharide was used for stimulating RAW264.7 macrophages to establish inflammatory model,after which the NO inhibitory rates of different grades of medicinal materials were determined.The UHPLC-QTOF-MS fingerprints were established,after which chemical constituents were identified,heatmap was drawn,and orthogonal partial least squares analysis was performed.RESULTS Grade 1 and grade 2 medicinal materials demonstrated higher NO inhibitory rates than gradeless and uniformly-priced goods(P＜0.05,P＜0.01).There were 211 common peaks in the fingerprints of 47 batches of medicinal materials,total 56 compounds were identified,containing 17 saponins,6 flavonoids,8 flavanones,4 chalcones,12 isoflavones and 9 other kinds.The relative contents of isoflavones,coumarins,kaempferol and licoflavonol in grade 1 and grade 2 medicinal materials were higher than those in gradeless and uniformly-priced goods,while the relative contents of flavanones,chalcones and saponins in wild products were higher than those in cultivated products.Neoliquiritin,isoliquiritin,kaempferol,hedysarimcoumestan E,licorice saponin C2,licoarylcoumarin,glicoricone and liconeolignan were taken as Q-markers.CONCLUSION This stable and reliable method has a certain reference value for the quality control of Glycyrrhizae Radix et Rhizoma.

Objective To summarize the practical measures taken by the case hospital to explore the separation mecha-nism of procurement and management,analyze its effectiveness,and provide reference for public hospitals to improve procurement quality.Methods Taking the procurement reform of a tertiary hospital in Jiangsu Province as an example,using the separation of procurement and management as the starting point,a procurement operation mechanism was established at the decision-making level,control level,and execution level,further sorting out the bidding and procurement process,and exploring the practical path of refined management of hospital procurement.Results Through reform practice,the procurement management system has been improved,hospital procurement quality control management has been strengthened,procurement efficiency and budget execution rate have been improved,and anti-corruption risks have been effectively prevented.Conclusion The separation mechanism of procurement and management is a key measure to improve the quality of recruitment and procurement in public hospitals,and can promote refined management in hospitals.

Objective To investigate the diagnostic value Tamm-Horsfall protein(THP)and osteopontin(OPN)in serum and 24-hour urine for urolithiasis.Methods A total of 101 patients with urolithiasis who underwent flexible ureteroscopy lithotripsy at the Urology Department of Civil Aviation General Hospital from April 2020 to March 2023 were included as the stone group,and 50 healthy individuals were enrolled as the control group.The samples of serum and 24-hour urine samples were collected from both the groups,and the levels of THP and OPN were measured using enzyme-linked immunosorbent assay(ELISA).Logistic regression analysis was performed to evaluate the association between each biomarker and urolithiasis,and receiver operating characteristic(ROC)curves were plotted to assess their diagnostic value.Results The stone group showed significantly lower THP levels(20.13[13.12,26.03]mg/d)and OPN levels(51.24[36.72,101.37]μg/d)in 24-hour urine,and THP levels(182.01[160.91,209.20]ng/mL)and OPN lev-els(18.76[15.72,22.48]ng/mL)in serum compared to the control group(all the P＜0.001).Binary Logistic regression analysis re-vealed that THP(OR=0.736,95％CI:0.606-0.895),OPN(OR=0.975,95％CI:0.958-0.993)and citrate(OR=0.067,95％CI:0.012-0.376)in 24-hour urine,and THP(OR=0.946,95％CI:0.908-0.986)and OPN(OR=0.896,95％CI:0.803-0.999)in ser-um were the protective factors for urolithiasis,while calcium level(OR=2.125,95％CI:1.243-3.633)24-hour urine was a risk factor(all the P＜0.05).ROC curve analysis showed that the areas under the curve(AUCROC)for the individual diagnosis of urolithiasis were 0.846,0.809,0.786,0.823,0.748,and 0.755 for the above six biomarkers,respectively.The AUCROC for the combined diagnosis u-sing THP+OPN in serum,THP+OPN in 24-hour urine and all the six biomarkers were 0.882,0.920 and 0.984,respectively,indica-ting better diagnostic performance.Conclusion The combined detection of the THP and OPN levels in serum and 24-hour urine may have good diagnostic value for urolithiasis and serve as potential diagnostic biomarkers.