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

OBJECTIVES: To investigate the association between insulin resistance and uterine volume in girls with idiopathic central precocious puberty (ICPP). METHODS: A retrospective study was conducted involving 61 girls diagnosed with ICPP who visited the pediatric growth and development clinic of the Third Affiliated Hospital of Zhengzhou University between January 2022 and September 2024, designated as the ICPP group, and 61 normally developing girls as the control group. The differences in insulin resistance index (homeostasis model assessment of insulin resistance, HOMA-IR), uterine volume, and other indicators between the two groups were compared, and the relationship between insulin resistance and uterine volume in these girls was analyzed. RESULTS: The uterine volume and HOMA-IR level in the ICPP group were significantly higher than those in the control group (P<0.05). Correlation analysis revealed that there was a positive correlation between HOMA-IR level and uterine volume in the ICPP group (r_s=0.643, P<0.001). Multiple linear regression analysis indicated that as HOMA-IR increased,uterine volume in the girls tended to increase (P<0.05). CONCLUSIONS There is an association between insulin resistance and uterine volume in girls with ICPP, and as HOMA-IR increases, uterine volume in the girls also increases.
Humans ; Female ; Insulin Resistance ; Puberty, Precocious/metabolism* ; Uterus/pathology* ; Child ; Retrospective Studies ; Organ Size ; Linear Models

(±)-Talapyrones A-F (1-6), six pairs of dimeric polyketide enantiomers featuring unusual 6/6/6 and 6/6/6/5 ring systems, were isolated from the fungus Talaromyces adpressus. Their structures were determined by spectroscopic analysis and HR-ESI-MS data, and their absolute configurations were elucidated using a modified Mosher's method and electronic circular dichroism (ECD) calculations. (±)-Talapyrones A-F (1-6) possess a 6/6/6 tricyclic skeleton, presumably formed through a Michael addition reaction between one molecule of α-pyrone derivative and one molecule of C₈ poly-β-keto chain. In addition, compounds 2/3 and 4/5 are two pairs of C-18 epimers, respectively. Putative biosynthetic pathways of 1-6 were discussed.
Polyketides/isolation & purification* ; Talaromyces/chemistry* ; Stereoisomerism ; Molecular Structure ; Circular Dichroism ; Pyrones/chemistry*

To develop a method for determining the antibody-dependent cell-mediated phagocytosis (ADCP) activity of human epidermal growth factor receptor 2 (HER2)-targeted antibody drug conjugate (ADC) based on the reporter gene assay, we established an ADCP activity assay with Jurkat/NFAT/FcγRIIa cells as the effector cells and BT474 as the target cells. Then, the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were optimized by the method of design of experiment (DOE). The method showed a significant dose-response relationship, which was complied with the four-parameter equation: y=(A-D)/[1+(x/C)^B]+D. The durability ranges of the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were (2.5-4.0)×10⁵ cells/mL, 3-5, 1.0-2.0 h, 0 h, and 5.0-6.0 h, respectively. The results of the methodological validation showed that the linear equation was y=1.106 8x-0.011 6, r=0.969 2. The established method showed the relative accuracy ranging from -6.59% to 2.98% and the geometric coefficient of variation less than 11% in the intermediate precision test. Furthermore, the method was target-specific. The method was then applied to the determination of ADCP activity of HER2-targeted ADC, demonstrating the result of (103.5±5.7)%. We developed a reporter gene assay for determining the ADCP activity of HER2-targeted ADC and the assay demonstrated high accuracy and good reproducibility, which proposes a highly efficient and approache for evaluating ADCP effect of this HER2-targeted ADC, and also provides a referable technique for characterizing the Fc effector functions of ADCs with diverse targets.
Humans ; Receptor, ErbB-2/immunology* ; Phagocytosis/drug effects* ; Immunoconjugates/immunology* ; Genes, Reporter ; Antibody-Dependent Cell Cytotoxicity ; Jurkat Cells

Objective:To explore the clinical efficacy and safety of flumatinib mesylate produced in China in patients with newly diagnosed chronic myeloid leukemia in chronic phase(CML-CP).Methods:32 newly diagnosed CML-CP patients admitted to the Hematology Department of the Affiliated Hospital of Southwest Medical University from March 1,2020 to March 31,2022,who had never received any tyrosine kinase inhibitor(TKI)were included in the study.The patients were treated by flumatinib mesylate 600mg once daily.The hematologic,cytogenetic and molecular responses were assessed at 3-,6-and 12-month,and adverse effects of the drug were evaluated.Results:31 patients were treated with flumatinib for≥3 months,of which 24 patients were treated for ≥ 6 months and 14 patients were treated for ≥ 12 months.At 3rd month of treatment,30 out of 31 patients achieved complete hematologic response(CHR);24 patients underwent cytogenetic testing and 22 cases achieved major cytogenetic response(MCyR),of which 21 cases achieved complete cytogenetic response(CCyR);Among 25 patients who underwent molecular testing,22 patients had BCR-ABLIS ≤ 10％,including 10 patients with BCR-ABLIS ≤ 0.1％,and 6 patients with BCR-ABLIS≤0.01％.At 6th month of treatment,23 out of 24 patients achieved CHR;17 patients underwent cytogenetic testing and all achieved CCyR;Among 23 patients who underwent molecular testing,20 patients had BCR-ABLIS ≤1％,including 16 patients with BCR-ABL1S≤0.1％and 12 patients with BCR-ABLIS ≤ 0.01％.At 12nd month of treatment,all 14 patients achieved CHR and CCyR;Among them,10 patients had BCR-ABLIS ≤ 0.1％,including 9 patients with BCR-ABLIS ≤ 0.01％.The grade Ⅲ/Ⅳ leukopenia,thrombocytopenia and anemia rates in the patients were 13.3％,20.0％and 3.3％,respectively.One patient stopped flumatinib therapy due to severe and persistent hematologic toxicity.The major non-hematologic adverse events were abnormal liver function(20％),diarrhea(10％),bone/joint pain(10％),muscle spasm(10％),rash(6.7％),acute kidney injury(6.7％)and nausea(3.3％),most of which were grade Ⅰ-Ⅱ.No patient experienced grade Ⅳnon-hematologic adverse events.No drug toxicity-related death occurred.Conclusion:Flumatinib mesglate,as the first-line treatment for newly diagnosed CML-CP,can enable the patients to achieve early and deep molecular and cytogenetic responses,and shows good safety.

Objective:To explore the effects of pre-transplant controlling nutritional status(CONUT)and post-transplant minimal residual disease(MRD)on prognosis of patients with multiple myeloma(MM)after autologous hematopoietic stem cell transplantation(auto-HSCT).Methods:The clinical data of 79 patients who received auto-HSCT from 2011 to 2020 in The First Affiliated Hospital of Chongqing Medical University were retrospectively analyzed.The patients were divided into Low-CONUT group(n=62)and High-CONUT group(n=17)according to whether the CONUT score was less than 5.The differences in clinical features,hematopoietic reconstruction,adverse reactions,efficacy and survival between the two groups were compared.In addition,the prognostic risk factors were analyzed and verified by time-dependent ROC curve.Results:The proportions of male patients and bone marrow plasma cells＞30％at initial diagnosis in High-CONUT group were both higher than those in Low-CONUT group(both P＜0.05).While,there were no significant differences in hematopoietic reconstruction and adverse reactions(＞grade 2)between the two groups.The complete response(CR)rate and CR+very good partial response(VGPR)rate before transplantation in Low-CONUT group were both significantly higher than those in High-CONUT group(both P＜0.05).After 3 months of transplantation,the CR+VGPR rate still remained an advantage in Low-CONUT group compared with High-CONUT group(P＜0.01),but CR rate did not(P＞0.05).The overall survival(OS)and progression-free survival(PFS)in Low-CONUT group were both superior to those in High-CONUT group(both P＜0.05).Low CONUT score(0-4)before transplantation and negative MRD at 6 months after transplantation were favorable factors affecting OS and PFS(both P＜0.05),while the International Myeloma Working Group(IMWG)high-risk at initial diagnosis and lactate dehydrogenase(LDH)level＞250 U/L before transplantation were only risk factors for PFS(both P＜0.05).Time-dependent ROC curve analysis showed that pre-transplant CONUT score and MRD status at 6 months after transplantation could independently or jointly predict 1-and 2-year OS and PFS,and the combined prediction was more effective.Conclusion:The combination of pre-transplant CONUT and post-transplant MRD can better predict the prognosis of MM patients.

Objective:To analyze the efficacy and influencing factors of cyclosporine(CsA)alone in the treatment of children with acquired aplastic anemia(AA).Methods:The clinical data of children diagnosed with AA and treated with CsA alone from January 1,2016 to December 31,2020 in the Children's Hospital of Chongqing Medical University were collected,and the efficacy and influencing factors of CsA treatment were evaluated.Results:Among the 119 patients,there were 62 male and 57 female,with a median age of 7 years and 1 month.There were 45 cases of very severe AA(VSAA),47 cases of severe AA(SAA),and 27 cases of non-severe AA(NSAA).At 6 months after treatment,the efficacy of VSAA was lower than that of SAA and NSAA,and there was a statistical difference(P＜0.01).6 cases died early,16 cases relapsed,2 cases progressed to AML and ALL.The results of univariate analysis showed that the high proportion of lymphocyte in the bone marrow at 6 months was an adverse factor for the efficacy of CsA,while high PLT count was a protective factor(P=0.008,P=0.002).The ROC curve showed that the cut-off values of PLT count and the proportion of bone marrow lymphocyte at 6 months were 16.5 × 109/L,68.5％,respectively.Multivariate analysis showed that the high proportion of lymphocyte in bone marrow at 6 months was an independent adverse factor for IST(P=0.020,OR=0.062),and high PLT count was a protective factor(P=0.044,OR=1.038).At 3 months of treatment,CsA response and NSAA were the risk factor for recurrence(P=0.001,0.031).Conclusion:The efficacy of NSAA was higher than that of SAA and VSAA after 6 months of treatment with CsA alone.A high PLT count at the initial diagnosis was a good factor for the effectiveness of CsA,and a high proportion of bone marrow lymphocyte was an unfavorable factor.CsA response at 3 months and NSAA were risk factors for recurrence.

Objective:To explore the mutation of PTPN11 gene in patients with myelodysplastic syndromes (MDS),and explore their correlation with mutations of other genes,clinical features and prognostic of patients.Methods:High throughput DNA sequencing was used to identify mutations in common blood tumor genes.The mutational characteristics of the PTPN11 gene and the correlation between gene mutations and patients clinical characteristics and prognosis were retrospectively analyzed.Results:The incidence of PTPN11 mutations in 131 MDS patients was 9.16％.The genes with a mutation rate greater than 10％ were RUNX1 (24.43％),U2AF1 (20.61％),ASXL1 (19.85％),DNMT3A (15.27％),TP53 (14.50％)and TET2 (11.45％).The most common co-mutation gene of PTPN11 mutations was RUNX1 (50％,6/12).There was no significant difference between the PTPN11 mutation and the wild-type groups in sex,peripheral leukocytes,hemoglobin,platelet levels,MDS subtype,karyotype,and bone marrow blast counts (P>0.05).The transformation rate in PTPN11 mutation group was higher than that in wild-type group[54.55％(6/11)vs. 25. 29％(22/87),P<0.05].The median OS of patients with PTPN11 mutation was significantly low than that in the wide-type group.Conclusion:PTPN11 mutation had a modest incidence in MDS patients,which was often coexists with RUNX1 mutation.Patients with PTPN11 mutations were more likely to progress to AML than the wild-type group.

Objective:To analyze the construction of human resources in specialized public health institutions in China,with a view to providing reference for strengthening the construction of human resources in public health in China.Methods:Based on the data of China Health and Wellness Statistical Yearbook,descriptive statistical analysis,Gini coefficient and health resource agglomeration were used to analyze the quantity and quality of human resources in specialized public health institutions and the equity of human resource allocation in different regions of China from 2012 to 2021.Results:From 2012 to 2021,the average annual growth rate of the number of specialized public health institution personnel nationwide was 4.10%,and the average annual growth rate of the number of specialized public health institution personnel per 1 000 population was 3.71%.In 2021,the Gini coefficient of human resources in China's specialized public health institutions allocated by population was 0.1002,and the Gini coefficient of the allocation of human resources according to the geographic area was 0.6706,and 21 provinces'health resource agglomeration value were greater than 1.Conclusion:the total amount of human resources in China's specialized public health institutions has steadily increased during the decade,and the quality has been greatly improved,but there is still a gap with the expected development goal;the development of human resources in different specialized public health institutions is not balanced;demographic fairness is better than geographic fairness in the allocation of human resources in public health,and there are significant inter-provincial differences.