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.

Following the core outcome set standards for development(COS-STAD), this study aims to construct core outcome set(COS) for clinical research on traditional Chinese medicine(TCM) treatment of simple obesity. Firstly, a comprehensive review was conducted on the randomized controlled trial(RCT) and systematic review(SR) about TCM treatment of simple obesity that were published in Chinese and English databases to collect reported outcomes. Additional outcomes were obtained through semi-structured interviews with patients and open-ended questionnaire surveys for clinicians. All the collected outcomes were then merged and organized as an initial outcome pool, and then a preliminary list of outcomes was formed after discussion by the working group. Subsequently, two rounds of Delphi surveys were conducted with clinicians, methodology experts, and patients to score the importance of outcomes in the list. Finally, a consensus meeting was held to establish the COS for clinical research on TCM treatment of simple obesity. A total of 221 RCTs and 12 SRs were included, and after integration of supplementary outcomes, an initial outcome pool of 141 outcomes were formed. Following discussions in the steering advisory group meeting, a preliminary list of 33 outcomes was finalized, encompassing 9 domains. Through two rounds of Delphi surveys and a consensus meeting, the final COS for clinical research on TCM treatment of simple obesity was determined to include 8 outcomes: TCM symptom scores, body mass index(BMI), waist-hip ratio, waist circumference, visceral fat index, body fat rate, quality of life, and safety, which were classified into 4 domains: TCM-related outcomes, anthropometric measurements, quality of life, and safety. This study has preliminarily established a COS for clinical research on TCM treatment of simple obesity. It helps reduce the heterogeneity in the selection and reporting of outcomes in similar clinical studies, thereby improving the comparability of research results and the feasibility of meta-analysis and providing higher-level evidence support for clinical practice.
Humans ; Obesity/therapy* ; Medicine, Chinese Traditional ; Randomized Controlled Trials as Topic ; Treatment Outcome ; Drugs, Chinese Herbal/therapeutic use*

Traditional Chinese medicine (TCM) is a well-accepted therapy for atopic dermatitis (AD). However, there are currently no evidence-based guidelines integrating TCM and Western medicine for the treatment of AD, limiting the clinical application of such combined approaches. Therefore, the China Association of Chinese Medicine initiated the development of the current guideline, focusing on key issues related to the use of TCM in the treatment of AD. This guideline was developed in accordance with the principles of the guideline formulation manual published by the World Health Organization. A comprehensive review of the literature on the combined use of TCM and Western medicine to treat AD was conducted. The findings were extensively discussed by experts in dermatology and pharmacy with expertise in both TCM and Western medicine. This guideline comprises 23 recommendations across seven major areas, including TCM syndrome differentiation and classification of AD, principles and application scenarios of TCM combined with Western medicine for treating AD, outcome indicators for evaluating clinical efficacy of AD treatment, integration of TCM pattern classification and Western medicine across disease stages, daily management of AD, the use of internal TCM therapies and proprietary Chinese medicines, and TCM external treatments. Please cite this article as: Du XR, Wu MY, Tao MC, Lin Y, Gu CY, Wu MF, Cao Y, Chen DC, Li W, Wang HW, Wang Y, Wang Y, Lu HZ, Liu X, Su XF, Li FL. Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine. J Integr Med. 2025; 23(6):641-653.
Dermatitis, Atopic/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Integrative Medicine ; Drugs, Chinese Herbal/therapeutic use* ; Practice Guidelines as Topic

AIM To investigate the protective effects of Tangtongyin on podocyte injury in rats with diabetic nephropathy(DN).METHODS The DN rat models established by feeding of high-fat and high-sugar diet combined with multiple injections of streptozotocin(STZ)were randomly divided into the model group,the irbesartan group(13.5 mg/kg)and the low-dose,medium-dose and high-dose Tangtongyin groups(930,1 860,3 720 mg/kg),in contrast to those normal rats of the blank group.In the 8 weeks consecutive administration,each group was intragastrically dosed with the corresponding drug once daily.The rats had their fasting blood glucose(FBG),24-hour urine protein(24-h UP),serum creatinine(Scr)and blood urea nitrogen(BUN)levels detected;their renal pathological changes observed by HE staining;their ultrastructural changes of renal podocytes observed by transmission electron microscopy;their mRNA expressions of renal PTEN,PI3K,Akt,nephrin,podocin and CD2AP detected by RT-qPCR;and their protein expressions of renal PTEN,PI3K,Akt,p-Akt,nephrin,podocin and CD2AP detected by Western blot.RESULTS Compared with the model group,the Tangtongyin groups displayed decreased levels of FBG,24-h UP,Scr and BUN(P＜0.05,P＜0.01);improved renal pathological morphology and podocyte ultrastructure;increased mRNA and protein expressions of PTEN,nephrin,podocin and CD2AP(P＜0.05,P＜0.01);and decreased expression of p-Akt protein(P＜0.05,P＜0.01).Additionally,the medium-dose and high-dose Tangtongyin groups shared indecreased mRNA and protein expressions of PI3K and Akt(P＜0.05,P＜0.01).CONCLUSION Tangtongyin can protect the renal podocytes in DN rats,and its mechanism may associate with its efficacy via PTEN/PI3K/Akt signaling pathway.

Background::Thoracic aortic aneurysm (TAA) is a fatal cardiovascular disease, the pathogenesis of which has not yet been clarified. This study aimed to identify and validate the diagnostic markers of TAA to provide a strong theoretical basis for developing new methods to prevent and treat this disease.Methods::Gene expression profiles of the GSE9106, GSE26155, and GSE155468 datasets were acquired from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the "limma" package in R. Least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), random forest, and binary logistic regression analyses were used to screen the diagnostic marker genes. Single-sample gene set enrichment analysis (ssGSEA) was used to estimate immune cell infiltration in TAA.Results::A total of 16 DEGs were identified. The enrichment and functional correlation analyses showed that DEGs were mainly associated with inflammatory response pathways and collagen-related diseases. Collagen type I alpha 1 chain ( COL1A1) and synaptotagmin like 2 ( SYTL2) were identified as diagnostic marker genes with a high diagnostic value for TAA. The expression of COL1A1 and SYTL2 was considerably higher in TAA vascular wall tissues than in the corresponding normal tissues, and there were significant differences in the infiltration of immune cells between TAA and normal vascular wall tissues. Additionally, COL1A1 and SYTL2 expression were associated with the infiltration of immune cells in the vascular wall tissue. Single-cell analysis showed that COL1A1 in TAA was mainly derived from fibroblasts and SYTL2 mainly from cluster of differentiation (CD)8 + T cells. In addition, single-cell analysis indicated that fibroblasts and CD8 + T cells in TAA were significantly higher than those in normal arterial wall tissue. Conclusions::COL1A1 and SYTL2 may serve as diagnostic marker genes for TAA. The upregulation of SYTL2 and COL1A1 may be involved in the inflammatory infiltration of the vessel wall and poor extracellular matrix remodeling, promoting the progression of TAA.

Objective:To investigate the relationship between phase angle (PA) and nutritional status,duration of mechanical ventilation,length of intensive care unit (ICU) stay,and clinical outcomes in patients with severe acute pancreatitis (SAP) complicated with ARDS. Methods:The clinical data of patients with SAP complicated with ARDS admitted to the surgical ICU,Jinling hospital,medical school of Nanjing University,from July 2023 to March 2024 were retrospectively collected. Patients are divided into low-PA group and normal-PA group based on phase angle. The correlation analysis between phase angle,nutritional status,and clinical outcomes,and evaluation of risk factors for mortality in patients with SAP combined with ARDS were performed. Result:A total of 83 patients with SAP complicated with ARDS were included in this study. PA was negatively correlated with nutritional risk scores (rs=-0.352,P=0.001),duration of mechanical ventilation (rp=-0.475,P<0.001),length of ICU stay (rp=-0.313,P=0.004),and mortality (rs=-0.371,P=0.001). Univariate analysis showed statistically significant differences in age,PA value,and duration of mechanical ventilation for predicting mortality (P<0.05);Multivariate analysis showed that the PA value was an independent risk factor for mortality (P<0.05). Conclusion:PA is significantly correlated with clinical outcomes,such as nutritional risk,duration of mechanical ventilation,length of ICU stay and mortality,and may be a promising biomarker in future.

Recent studies have shown that iron metabolism dysregulation and lipid peroxidation-induced ferroptosis, triggered by oxidative stress, play a key role in the development of aortic dissection. Dysregulated iron metabolism leads to excessive production of hydroxyl radicals due to abnormal iron levels and heme metabolism, while lipid peroxidation is linked to system Xc^－ dysfunction and accumulation of phospholipid hydroperoxides. These factors synergistically disrupt aortic homeostasis and drive ferroptosis in vascular cells, including endothelial and smooth muscle cells. Furthermore, disruptions in ferroptosis-related genes, along with risk factors such as smoking, epigenetic modifications such as protein methylation, and abnormalities in immune cells, particularly T cells, are closely linked to aortic dissection. Several small molecules and nanomaterials have shown potential in inhibiting ferroptosis in this context. This review elucidates the roles of ferroptosis in aortic dissection and proposes strategies for its targeted prevention and treatment.
Ferroptosis ; Humans ; Aortic Dissection/etiology* ; Lipid Peroxidation ; Iron/metabolism* ; Oxidative Stress ; Risk Factors ; Animals

AIM: To evaluate retinal vascularization caused by the intravitreal injection of Conbercept in the treatment of a series of retinopathy of prematurity(ROP)cases in Type Ⅰ(threshold and pre-threshold period)and aggressive ROP(A-ROP).METHODS: The data of 34 ROP cases(67 eyes)treated by intravitreal injection of Conbercept(IVC)in the ophthalmology department of the Xiamen Children's Hospital from July 2017 to March 2020 were retrospectively analyzed. Reactivation, which refers to recurrence of acute phase features, occurred at any stage of the disease in the presence or absence of other diseases. RESULT: The average gestational age of the 34 children was 28.82±2.32wk. The average birth weight was 1155.18±398.22g. The lesion zone of 19 cases(37 eyes)was Zone Ⅰ. In 10 cases(20 eyes), the lesion was in Zone Ⅱ, and in 5 cases(10 eyes), the lesion was in the posterior Zone Ⅱ. The total effective rate of disease control in ROP children treated with once IVC was 73.1%(49/67), and the vascularization of Zone Ⅱ was completed. The patients showed variable changes in the vascularization in Zone Ⅲ. For the patients who received one treatment and did not reactivate, the average rate of Type Ⅰ vascularization of ROP was 9.11±2.49wk, and the A-ROP was 13.40±4.04wk. The rate of A-ROP vascularization in Zone Ⅱ was significantly longer compared to Type Ⅰ.CONCLUSION: IVC effectively completes vascularization in Zone Ⅱ.