The incidence and mortality of hepatocellular carcinoma (HCC) in China are among the highest in the world, imposing a heavy social burden. Liver resection and liver transplantation are the primary radical treatments for HCC, although most patients are no longer able to meet the surgical requirements at initial diagnosis. Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT) has the advantages of shrinking tumors, enlarging residual liver, regressing portal vein tumor thrombus and improving the quality of life, which can be used for conversion, downstaging and bridging therapy for HCC before surgical treatment, enabling patients regain the chance of radical treatment and reducing the postoperative recurrence rate. This review focuses on the clinical application and progress of ⁹⁰Y-SIRT in this field.

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.

Objective: To explore the relationship between nuclear factor-kappa B subunit 1 (NFKB1) and LIM-homeobox gene 2 (LHX2) polymorphisms and esophageal cancer susceptibility, so as to provide the reference for the prevention and treatment of esophageal cancer. Methods: A total of 100 patients with primary esophageal cancer diagnosed at the Affiliated Tumor Hospital of Xinjiang Medical University from 2019 to 2023 were selected as the case group, and 100 healthy individuals undergoing physical examination during the same period of time were selected as the control group. Demographic information, disease history and lifestyle data were collected through questionnaire surveys. The single nucleotide polymorphisms at the rs28362491 and rs4648068 loci of NFKB1 gene as well as rs10760310 and rs10121751 loci of LHX2 gene were detected using multiplex high-temperature ligase detection reaction technology. The relationship between these loci and esophageal cancer susceptibility were analyzed using a multivariable conditional logistic regression, linkage disequilibrium and haplotype analysis. The impact of the interaction between the above-mentioned loci and environmental factors on esophageal cancer susceptibility using the generalized multifactor dimensionality reduction (GMDR) method. Results: The case group comprised 73 males and 27 females, with a mean age of (64.02±8.90) years. The control group included 73 males and 27 females, with a mean age of (64.54±9.43) years. The genotype distributions of rs28362491, rs4648068, rs10760310 and rs10121751, loci in both groups conformed to Hardy-Weinberg equilibrium (all P>0.05). Multivariable conditional logistic regression analysis showed that rs10760310 and rs10121751 loci of LHX2 gene were associated with the esophageal cancer susceptibility (both P<0.05). The overdominant model of rs10760310 loci of LHX2 gene had the lowest Akaike information criterion value (OR=0.22, 95%CI: 0.10-0.47). GAA haplotypes at rs4648068, rs10760310 and rs10121751 loci were associated with a lower risk of esophageal cancer susceptibility (OR=0.26, 95%CI: 0.13-0.50). GMDR analysis revealed a statistically significant interaction between rs10760310 loci and smoking on esophageal cancer susceptibility (P<0.05, cross-validation consistency coefficient: 10/10). Conclusion The rs10760310 and rs10121751 loci polymorphisms of LHX2 gene may be associated with esophageal cancer susceptibility, and there is an interaction between rs10760310 loci and smoking on the esophageal cancer susceptibility.

This study investigated the effects of Rehmanniae Radix Praeparata on striatal neuronal apoptosis in rats with attention deficit hyperactivity disorder(ADHD) based on the B-cell lymphoma-2(Bcl-2)/Bcl-2-associated X protein(Bax)/caspase-3 signaling pathway. Twenty-four 3-week-old male spontaneously hypertensive rats(SHR) were randomly divided into a model group, a methylphenidate group(2 mg·kg~(-1)·d~(-1)), and a Rehmanniae Radix Praeparata group(2.4 mg·kg~(-1)·d~(-1)). Age-matched male Wistar Kyoto(WKY) rats were used as the normal control group, with 8 rats in each group. The rats were administered by gavage for 28 days. Body weight and food intake were recorded for each group. The open field test and elevated plus maze test were used to assess hyperactivity and impulsive behaviors. Nissl staining was used to detect changes in striatal neurons and Nissl bodies. Terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL) fluorescence staining was used to detect striatal cell apoptosis. Western blot was employed to detect the expression levels of Bcl-2, Bax, and caspase-3 proteins in the striatum. The results showed that compared with the model group, Rehmanniae Radix Praeparata significantly reduced the total movement distance, average movement speed, and central area residence time in the open field test, and significantly reduced the ratio of open arm entries, open arm stay time, and head dipping in the elevated plus maze test. Furthermore, it increased the number of Nissl bodies in striatal neurons, significantly downregulated the apoptosis index, significantly increased Bcl-2 protein expression and the Bcl-2/Bax ratio, and reduced Bax and caspase-3 protein expression. In conclusion, Rehmanniae Radix Praeparata can reduce hyperactivity and impulsive behaviors in ADHD rats. Its mechanism may be related to the regulation of the Bcl-2/Bax/caspase-3 signaling pathway in the striatum, enhancing the anti-apoptotic capacity of striatal neurons.
Animals ; Male ; Apoptosis/drug effects* ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Caspase 3/genetics* ; Proto-Oncogene Proteins c-bcl-2/genetics* ; bcl-2-Associated X Protein/genetics* ; Rehmannia/chemistry* ; Attention Deficit Disorder with Hyperactivity/physiopathology* ; Signal Transduction/drug effects* ; Neurons/cytology* ; Rats, Inbred SHR ; Rats, Inbred WKY ; Humans ; Corpus Striatum/cytology* ; Plant Extracts

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

COMPERA 2.0 risk stratification has been demonstrated to be useful in patients with precapillary pulmonary hypertension (PH). However, its suitability for patients at risk for post-capillary PH or PH associated with left heart disease (PH-LHD) is unclear. To investigate the use of COMPERA 2.0 in patients with severe aortic stenosis (SAS) undergoing transcatheter aortic valve replacement (TAVR), who are at risk for post-capillary PH, a total of 327 eligible SAS patients undergoing TAVR at our institution between September 2015 and November 2020 were included in the study. Patients were classified into four strata before and after TAVR using the COMPERA 2.0 risk score. The primary endpoint was all-cause mortality. Survival analysis was performed using Kaplan-Meier curves, log-rank test, and Cox proportional hazards regression model. The study cohort had a median (interquartile range) age of 76 (70‒80) years and a pulmonary arterial systolic pressure of 33 (27‒43) mmHg (1 mmHg=0.133 kPa) before TAVR. The overall mortality was 11.9% during 26 (15‒47) months of follow-up. Before TAVR, cumulative mortality was higher with an increase in the risk stratum level (log-rank, both P<0.001); each increase in the risk stratum level resulted in an increased risk of death (hazard ratio (HR) 2.53, 95% confidential interval (CI) 1.54‒4.18, P<0.001), which was independent of age, sex, estimated glomerular filtration rate (eGFR), hemoglobin, albumin, and valve type (HR 1.76, 95% CI 1.01‒3.07, P=0.047). Similar results were observed at 30 d after TAVR. COMPERA 2.0 can serve as a useful tool for risk stratification in patients with SAS undergoing TAVR, indicating its potential application in the management of PH-LHD. Further validation is needed in patients with confirmed post-capillary PH by right heart catheterization.
Humans ; Aortic Valve Stenosis/complications* ; Aged ; Hypertension, Pulmonary/mortality* ; Male ; Female ; Transcatheter Aortic Valve Replacement ; Aged, 80 and over ; Risk Assessment/methods* ; Proportional Hazards Models ; Kaplan-Meier Estimate ; Retrospective Studies

Objective:This paper provides a brief overview of the epidemiology of colorectal cancer in China and around the world, and discusses how to prevent colorectal cancer to reduce its disease burden.Method:Using the official database of GLOBOCAN 2020, the China Cancer Registry Annual Report compiled by the National Cancer Center, and data from CONCORD-3.Data management was performed by Microsoft Excel 2016 and R 4.2.1 Relevant graphs were generated using the ggplot2 package for result visualization.Result:An estimated 1 931 590 people were diagnosed with colorectal cancer worldwide in 2020 with an age-standardized incidence rate of 19.5 per 100 000. There were about 935 173 deaths caused by colorectal cancer internationally, with an age-standardized mortality rate of 9.0 per 100 000. Overall, colorectal cancer was the fourth most commonly diagnosed cancer and the third leading cause of cancer-related death worldwide in 2020. In China, the age-standardized incidence rate and mortality rate of colorectal cancer was 17.3 per 100 000 and 7.8 per 100 000, respectively. Gender differences in trends were observed, with a decreasing trend in incidence and mortality among females and an increasing trend in incidence and mortality among males. The primary risk factors for colorectal cancer include age, genetic factors, gastrointestinal disorders, dietary habits, and lifestyle et al.Conclusions:Colorectal cancer poses a significant burden globally and in China. The occurrence of colorectal cancer is closely related to physiology, genetics, behavioral habits, lifestyle, and disease factors. To better control the colorectal cancer burden with the lowest cost, specific measures should be taken to reduce exposure to established risk factors. By combining the disease prevention and control strategies of tertiary prevention in China with the characteristic factors of colorectal cancer, the incidence and mortality of colorectal cancer may be effectively controlled.

Objective To explore the changes of plasma metabolites in Uygur and Kazak patients with type 2 diabetes mellitus(T2DM)and people with normal glucose tolerance(NGT),construct the profile of different metabolites and analyze different metabolic pathways.Methods Plasma samples of T2DM and NGT from Uygur and Kazak were collected for detection.Ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry was used for detection.MetaboAnalyst 5.0 was used to analyze the data,and the screening conditions were P＜0.05 and fold change(FC)＜0.90 or FC＞1.10.We used The Kyoto Encyclopedia of Genes and Genomes database to enrich and explore the metabolic pathways of different metabolites.Results Compared with the Uighur NGT group,there are 109 differential metabolites in the T2DM group,and 43 unique differential metabolites are mainly concentrated in five pathways,such as phenylalanine biosynthesis,tyrosine biosynthesis,and tryptophan metabolism.Compared with the NGT group,Kazak T2DM has 86 differential metabolites,and 28 unique differential metabolites are mainly enriched in the urea cycle,arginine,and proline metabolism(impact＞0.10,P＜0.05).Conclusion In this study,the plasma metabolic profile of T2DM patients was constructed,and the unique metabolites of T2DM in Uygur and Kazak were screened out,which provided potential biomarkers for early prevention of T2DM.

Lung cancer remains one of the leading cause of global cancer-related mortality, posing a significant burden of disease. Tobacco exposure stands as the foremost risk factor for lung cancer. Since the 1960, global efforts have gradually been implemented to control tobacco exposure, consequently reducing tobacco exposure levels within populations. This shift in exposure levels may have altered the epidemiological characteristics of lung cancer globally. This study aims to describe global lung cancer incidence data across five dimensions: age, gender, region, stage at diagnosis, and survival status, using global cancer registry data and relevant research findings. The objective is to elucidate the current epidemiological features of lung cancer worldwide, providing a scientific basis for lung cancer prevention and control. Furthermore, this study offers corresponding measures and recommendations for lung cancer prevention and control, aligning with the three-tiered cancer prevention strategy. Findings indicate that the incidence and mortality burden of lung cancer is significantly higher among the elderly population (aged 65 years and above) compared to the working-age population (aged 15-64 years). The aged-standardized incidence rate of lung cancer remains higher in males than in females, but the overall aged-standardized incidence rate of lung cancer in males shows a declining trend, while that in females shows an increasing trend. Regions with high and very high human development index (HDI) exhibit a substantially higher incidence and mortality burden of lung cancer compared to regions with low and very low HDI. Japan ranks highest in the diagnosis of stage Ⅰ lung cancer, with a diagnosis rate of 38.6%. Its age-standardized 5-year net survival rate is relatively high at 32.9%. Despite improvements in the survival status of lung cancer in certain countries like China and Japan, the overall prognosis for lung cancer remains pessimistic. Given the current epidemiological characteristics of lung cancer, reinforcing tobacco control measures and reducing female-specific lung cancer risk factors stand as significant goals for primary prevention. Promoting low-dose computed tomography screening for high-risk population, minimizing false-positive rates in lung cancer screening, and promoting medical system reforms and standardized treatment constitute principal measures for secondary and tertiary lung cancer prevention, respectively.