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.

Iron overload is strongly associated with heart disease. Ferroptosis is a new form of regulated cell death indicated in cardiac ischemia-reperfusion (I/R) injury. However, the specific molecular mechanism of myocardial injury caused by iron overload in the heart is still unclear, and the involvement of ferroptosis in iron overload-induced myocardial injury is not fully understood. In this study, we observed that ferroptosis participated in developing of iron overload and I/R-induced cardiomyopathy. Mechanistically, we discovered that Parkin inhibited iron overload-induced ferroptosis in cardiomyocytes by promoting the ubiquitination of long-chain acyl-CoA synthetase 4 (ACSL4), a crucial protein involved in ferroptosis-related lipid metabolism pathways. Additionally, we identified p53 as a transcription factor that transcriptionally suppressed Parkin expression in iron-overloaded cardiomyocytes, thereby regulating iron overload-induced ferroptosis. In animal studies, cardiac-specific Parkin knockout mice (Myh6-CreER ^T2 /Parkin ^fl/fl ) fed a high-iron diet presented more severe myocardial damage, and the high iron levels exacerbated myocardial I/R injury. However, the ferroptosis inhibitor Fer-1 significantly suppressed iron overload-induced ferroptosis and myocardial I/R injury. Moreover, Parkin effectively protected against impaired mitochondrial function and prevented iron overload-induced mitochondrial lipid peroxidation. These findings unveil a novel regulatory pathway involving p53-Parkin-ACSL4 in heart disease by inhibiting of ferroptosis.

Objective:To construct a remote screening network for breast cancer based on automated breast ultrasound (ABUS) and explore the value of ABUS with remote reading for breast cancer screening.Methods:We constructed a remote breast cancer screening network including one remote reading center and 48 image-acquisition centers. We recruited women to participate in breast cancer screening at one of these image-acquisition centers from January 2021 to January 2023. The technicians collected the whole breast images using the ABUS. The images were then sent to the reading center through the PVBUS System and interpreted independently by two radiologists using the Breast Imaging Reporting and Data System (BI-RADS). BI-RADS categories 1 and 2 indicate negative screening results, and women diagnosed with these categories were recommended for annual breast ultrasound screening. BI-RADS categories 3, 4, and 5 indicate positive results. Women with BI-RADS category 3 lesions were recommended for follow-up examinations every 6 months using ABUS or handheld ultrasound, while those with BI-RADS 4 and 5 lesions were suggested to undergo pathological examinations.Results:In our study, we enrolled 10 344 women who completed the ABUS screening and were followed up for more than 12 months. After remote reading, 6 164 women were diagnosed with BI-RADS category 1 and 2 626 woman were within BI-RADS category 2. In contrast, 1 404 women were within BI-RADS category 3, a total of 135 women were within BI-RADS category 4, and 15 women were within BI-RADS category 5. The positive screening rate of ABUS was 15.0% (1 554/10 344). The ABUS with remote reading had a detection rate of 3.7/1 000 (38/10 344) for breast cancer screening, with a sensitivity of 97.4% (38/39) and a specificity of 85.3% (8 789/10 305). Among the 38 breast cancer cases detected, 92.1% (35/38) were invasive carcinomas, and 63.2% (24/38) were stage 0 or Ⅰ breast cancers.Conclusions:Breast cancer screening based on ABUS with remote reading provided an efficient and feasible solution to the problem of unevenly distributed medical resources and medical staff levels in various regions of China, enabling the decentralization of high-quality medical resources and improving the accessibility of high-quality screening services. It has provided an alternative for breast cancer screening in China.

Objective Data mining method was used to analyze the Chinese herbal prescriptions for oral use in treating venomous snake bites collected from the major domestic literature databases and the surgery volume of Zhong Hua Yi Fang(Chinese Medical Prescriptions),so as to explore their potential prescription and medication rules,and to provide references for the treatment of venomous snake bites in the primary hospitals.Methods The Chinese herbal prescriptions for oral use in treating venomous snake bites were retrieved from the CNKI,VIP and Wanfang databases,and the ancient formulas for treating venomous snake bites were screened in the surgery volume of Zhong Hua Yi Fang(Chinese Medical Prescriptions).Excel software was used to extract the relevant information of the formulas,and R language was used to analyze the medication frequency,properties,flavors and meridian tropism of the herbs as well as their association rules and clustering analysis.Results A total of 187 prescriptions for oral use in treating venomous snake bite were obtained,involving 284 Chinese herbal medicines.The top 15 Chinese herbal medicines in decreasing sequence of medication frequency were Lobeliae Chinensis Herba,Rhei Radix et Rhizoma,Angelicae Dahuricae Radix,Glycyrrhizae Radix et Rhizoma,Paridis Rhizoma,Rehmanniae Radix,Coptidis Rhizoma,Scutellariae Radix,Lonicerae Japonicae Flos,Paeoniae Radix Rubra,Moutan Cortex,Hedyotis Diffusae Herba,Imperatae Rhizoma,Plantaginis Herba,and Scutellariae Barbatae Herba.The flavor of herbs in the prescription for the treatment of venomous snakebite was usually bitter,pungent and sweet,and their property was relatively cold.Most of the herbs had the meridian tropism of the liver meridian and lung meridian.The core prescription mainly composed of Rhei Radix et Rhizoma,Lobeliae Chinensis Herba,and Paridis Rhizoma was obtained after association rule analysis and cluster analysis.Conclusion The herbs for the treatment of venomous snake bites often have the actions of clearing heat and removing toxins,and the prescription is usually composed of Rhei Radix et Rhizoma,Lobeliae Chinensis Herba,Paridis Rhizoma together with the compatibility of medicines for clearing heat and cooling blood,extinguishing wind and arresting convulsion,clearing heat and promoting urination.

Objective To summarize the clinical experience of pulmonary lobectomy by uniportal video-assisted thoracoscope in parallel position.Methods The clinical data of 90 patients who underwent uniportal video-assisted thoracoscopic lobectomy in Zhongshan Hospital(Xiamen Branch),Fudan University were retrospectively analyzed.Among them,41 patients underwent lobectomy by uniportal thoracoscope in parallel position,and 49 patients underwent lobectomy by uniportal thoracoscope in non-parallel position.The perioperative related indicators of the two groups were compared.Results There was no significant statistical difference between the parallel uniportal thoracoscopic group and the non-parallel uniportal thoracoscopic group in terms of operation time[(135.2±18.1)min vs.(132.7±25.6)min],intraoperative blood loss[(100.1±27.2)mL vs.(117.3±33.5)mL],postperative extubation time[(3.0±0.7)d vs.(3.1±0.9)d],hospitalization time after operation[(4.3±1.3)d vs.(4.8±1.5)d]and relapse rate after surgery in 3 year(7.32%vs.10.20%).Conclusion Lobectomy by uniportal thoracoscope in parallel position was safe and feasible in technique.

Objective:To construct a remote screening network for breast cancer based on automated breast ultrasound (ABUS) and explore the value of ABUS with remote reading for breast cancer screening.Methods:We constructed a remote breast cancer screening network including one remote reading center and 48 image-acquisition centers. We recruited women to participate in breast cancer screening at one of these image-acquisition centers from January 2021 to January 2023. The technicians collected the whole breast images using the ABUS. The images were then sent to the reading center through the PVBUS System and interpreted independently by two radiologists using the Breast Imaging Reporting and Data System (BI-RADS). BI-RADS categories 1 and 2 indicate negative screening results, and women diagnosed with these categories were recommended for annual breast ultrasound screening. BI-RADS categories 3, 4, and 5 indicate positive results. Women with BI-RADS category 3 lesions were recommended for follow-up examinations every 6 months using ABUS or handheld ultrasound, while those with BI-RADS 4 and 5 lesions were suggested to undergo pathological examinations.Results:In our study, we enrolled 10 344 women who completed the ABUS screening and were followed up for more than 12 months. After remote reading, 6 164 women were diagnosed with BI-RADS category 1 and 2 626 woman were within BI-RADS category 2. In contrast, 1 404 women were within BI-RADS category 3, a total of 135 women were within BI-RADS category 4, and 15 women were within BI-RADS category 5. The positive screening rate of ABUS was 15.0% (1 554/10 344). The ABUS with remote reading had a detection rate of 3.7/1 000 (38/10 344) for breast cancer screening, with a sensitivity of 97.4% (38/39) and a specificity of 85.3% (8 789/10 305). Among the 38 breast cancer cases detected, 92.1% (35/38) were invasive carcinomas, and 63.2% (24/38) were stage 0 or Ⅰ breast cancers.Conclusions:Breast cancer screening based on ABUS with remote reading provided an efficient and feasible solution to the problem of unevenly distributed medical resources and medical staff levels in various regions of China, enabling the decentralization of high-quality medical resources and improving the accessibility of high-quality screening services. It has provided an alternative for breast cancer screening in China.

Objective To observe the value of habitat model based on lung CT for predicting brain metastasis(BM)of lung adenocarcinoma with epidermal growth factor receptor(EGFR)mutation.Methods Data of plain lung CT of 198 lung adenocarcinoma patients with EGFR-mutant were retrospectively analyzed.The patients were divided into training set(n=138)and test set(n=60)at the ratio of 7∶3,and further divided into BM subgroup and non-BM subgroup in each set.Then a logistic regression(LR)clinical model was constructed using variables being statistically different between subgroups in training set.For features extracted from tumor and subregion of tumor,radiomics models and habitat models were constructed based on random forest,Gaussian process(GP)and support vector machine(SVM)algorithms,and the best radiomics and habitat models with generalization ability were screened.LR combined model was constructed based on the predicted values of the best radiomics and habitat models with generalization ability,as well as the clinical model.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting BM of lung adenocarcinoma with EGFR-mutant.Spearman correlation analysis was performed to observe the correlations between Ki-67 and habitat features of lung adenocarcinoma with EGFR-mutant.Results AUC of LR clinical model,GP radiomics model,SVM habitat model and LR combined model for predicting BM of lung adenocarcinoma with EGFR-mutant was 0.700,0.726,0.801 and 0.834 in training set,0.754,0.600,0.715 and 0.848 in test set,respectively.AUC of LR combined model was higher than that of LR clinical model in training set(P＜0.001),also higher than that of GP radiomics model in test set(P=0.010).Compared with GP radiomics model and SVM habitat model,the performance of LR combined model was significantly and positively improved in training set(integrated discrimination improvement index[IDI]=8.60%,8.55%,both P＜0.001).Ki-67 level of EGFR-mutant lung adenocarcinoma was lowly and positively correlated with habitatmap_original_glszm_lalgle extracted from habitat map(│rs│=0.201,P=0.004).Conclusion The habitat model based on lung CT could be used to predict BM of lung adenocarcinoma with EGFR-mutant effectively.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Morphine is a frequently used analgesic that activates the mu-opioid receptor(MOR),which has prominent side effects of tolerance.Although the inefficiency of morphine in inducing the endocytosis of MOR underlies the development of morphine tolerance,currently,there is no effective therapy to treat morphine tolerance.In the current study,we aimed to develop a monoclonal antibody(mAb)precisely targeting MOR and to determine its therapeutic efficacy on morphine tolerance and the underlying molecular mechanisms.We successfully prepared a mAb targeting MOR,named 3A5C7,by hybridoma technique using a strategy of deoxyribonucleic acid immunization combined with cell immunization,and identified it as an immunoglobulin G mAb with high specificity and affinity for MOR and binding ability to antigens with spatial conformation.Treatment of two cell lines,HEK293T and SH-SY5Y,with 3A5C7 enhanced morphine-induced MOR endocytosis via a G protein-coupled receptor kinase 2(GRK2)/β-arrestin2-dependent mechanism,as demonstrated by immunofluorescence staining,flow cytometry,Western blotting,coimmunoprecipitation,and small interfering ribonucleic acid(siRNA)-based knock-down.This mAb also allowed MOR recycling from cytoplasm to plasma membrane and attenuated morphine-induced phosphorylation of MOR.We established an in vitro morphine tolerance model using differentiated SH-SY5Y cells induced by retinoic acid.Western blot,enzyme-linked immunosorbent assays,and siRNA-based knockdown revealed that 3A5C7 mAb diminished hyperactivation of adenylate cyclase,the in vitro biomarker of morphine tolerance,via the GRK2/β-arrestin2 pathway.Furthermore,in vivo hotplate test demonstrated that chronic intrathecal administration of 3A5C7 significantly alle-viated morphine tolerance in mice,and withdrawal jumping test revealed that both chronic and acute 3A5C7 intrathecal administration attenuated morphine dependence.Finally,intrathecal electroporation of silencing short hairpin RNA illustrated that the in vivo anti-tolerance and anti-dependence efficacy of 3A5C7 was mediated by enhanced morphine-induced MOR endocytosis via GRK2/β-arrestin2 pathway.Collectively,our study provided a therapeutic mAb,3A5C7,targeting MOR to treat morphine tolerance,mediated by enhancing morphine-induced MOR endocytosis.The mAb 3A5C7 demonstrates promising translational value to treat clinical morphine tolerance.

Objective: To perform intrauterine adhesion modeling, and to investigate the repair effect of hypoxic treated bone marrow mesenchymal stem cells (BMSC) and their derived exosomes (BMSC-exo) on endometrial injury. Methods: BMSC and their exosomes BMSC-exo extracted from rats' femur were cultured under conventional oxygen condition (21%O₂) or hypoxia condition (1%O₂). Intrauterine adhesion modeling was performed on 40 healthy female SD rats by intrauterine injection of bacterial lipopolysaccharide after curettage. On the 28th day of modeling, 40 rat models were randomly divided into five groups, and interventions were performed: (1) NC group: 0.2 ml phosphate buffered solution was injected into each uterine cavity; (2) BMSC group: 0.2 ml BMSC (1×10⁶/ml) with conventional oxygen culture was injected intrauterine; (3) L-BMSC group: 0.2 ml of hypoxic cultured BMSC (1×10⁶/ml) was injected intrauterine; (4) BMSC-exo group: 0.2 ml of BMSC-exo cultured with conventional oxygen at a concentration of 500 μg/ml was injected into the uterine cavity; (5) L-BMSC-exo group: 0.2 ml hypoxic cultured BMSC-exo (500 μg/ml) was injected intrauterine. On the 14th and 28th day of treatment, four rats in each group were sacrificed by cervical dislocation after anesthesia, and endometrial tissues were collected. Then HE and Masson staining were used to observe and calculate the number of glands and fibrosis area in the endometrium. The expressions of angiogenesis related cytokines [vascular endothelial growth factor A (VEGFA) and CD₃₁], and fibrosis-related proteins [collagen-Ⅰ, collagen-Ⅲ, smooth muscle actin α (α-SMA), and transforming growth factor β1 (TGF-β1)] in endometrial tissues were detected by western blot. Results: (1) HE and Masson staining showed that the number of endometrial glands in L-BMSC group, BMSC-exo group and L-BMSC-exo group increased and the fibrosis area decreased compared with NC group on the 14th and 28th day of treatment (all P<0.05). Noteworthily, the changes of L-BMSC-exo group were more significant than those of BMSC-exo group (all P<0.05), and the changes of BMSC-exo group were greater than those of BMSC group (all P<0.05). (2) Western blot analysis showed that, compared with NC group, the expressions of collagen-Ⅲ and TGF-β1 in BMSC group, L-BMSC group, BMSC-exo group and L-BMSC-exo group decreased on the 14th and 28th day of treatment (all P<0.05). As the treatment time went on, the expressions of fibrosis-related proteins were different. Compared with BMSC group, the expressions of collagen-Ⅲ, α-SMA and TGF-β1 in the BMSC-exo group and L-BMSC group decreased on the 28th day (all P<0.05). Moreover, the expressions of collagen-Ⅲ and TGF-β1 in L-BMSC-exo group were lower than those in BMSC-exo group on the 28th day (all P<0.05). And the expressions of collagen-Ⅰ, α-SMA and TGF-β1 in L-BMSC-exo group were lower than those in L-BMSC group on the 28th day (all P<0.05). (3) The results of western blot analysis of VEGFA and CD₃₁ showed that, the expressions of VEGFA and CD₃₁ in BMSC group, L-BMSC group, BMSC-exo group and L-BMSC-exo group increased on the 14th and 28th day of treatment compared with NC group (all P<0.05). Treatment for 28 days, the expressions of VEGFA and CD₃₁ in BMSC-exo group and CD₃₁ in L-BMSC group were higher than those in BMSC group (all P<0.05). Moreover, the expressions of VEGFA and CD₃₁ in L-BMSC-exo group were higher than those in BMSC-exo group and L-BMSC group on the 28th day (all P<0.05). Conclusions: Treatment of BMSC and their exosomes BMSC-exo with hypoxia could promote endometrial gland hyperplasia, inhibit tissue fibrosis, and further repair the damaged endometrium in rats with intrauterine adhesion. Importantly, hypoxic treatment of BMSC-exo is the most effective in intrauterine adhesion rats.
Rats ; Female ; Humans ; Animals ; Rats, Sprague-Dawley ; Transforming Growth Factor beta1/metabolism* ; Vascular Endothelial Growth Factor A ; Exosomes/metabolism* ; Uterine Diseases/therapy* ; Collagen ; Hypoxia/therapy* ; Fibrosis ; Mesenchymal Stem Cells/metabolism* ; Oxygen