The American Heart Association (AHA) and the American College of Cardiology (ACC), in collaboration with multiple professional organizations, jointly released the "Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults" in August 2025. Based on the latest evidence-based medical findings from February 2015 to January 2025, the guideline proposes an individualized treatment strategy grounded in total cardiovascular disease risk stratification, incorporates the novel PREVENT risk assessment model, lowers the medication initiation threshold and control targets for high-risk populations, and provides specific management recommendations for special populations. This article provides an interpretation of these updates and conducts a comparative analysis with the current status of hypertension prevention and treatment in China as well as Chinese guidelines, aiming to offer reference for hypertension control practices in China.

The American Heart Association (AHA) officially released the "2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association" on January 27, 2025. This report systematically compiles the latest statistics on major cardiovascular diseases worldwide, while simultaneously integrating relevant outcome indicators, including quality of care, procedures, and economic costs, and updating the global prevalence patterns and evolving trends of diverse risk factors impacting cardiovascular health, providing essential guidance for the prevention, diagnosis, and treatment of cardiovascular diseases. Synthesizing insights from this pivotal report and other relevant studies, this article highlights key findings concerning the global prevalence and mortality of heart diseases, associated risk factors, and emerging diagnostic and therapeutic technologies.

Coronary CT-derived fractional flow reserve (CT-FFR) is a noninvasive alternative to invasive FFR for assessing the hemodynamic significance of coronary artery stenosis. CT-FFR uses routinely acquired coronary CT angiography (CCTA) with artificial intelligence and computational fluid dynamics to estimate pressure gradients, thereby supporting clinical decisionmaking without procedural risk. Adoption and implementation vary widely across regions. In Asia, South Korea exclusively uses HeartMedi+, which enables rapid analysis, streamlined workflow integration, and high user satisfaction. Japan relies primarily on FFR CT, which has national reimbursement and significantly influences treatment strategies, reducing unnecessary invasive procedures. Hong Kong, Singapore, Taiwan, Thailand, and Vietnam remain in early or exploratory phases due to cost, reimbursement, and infrastructure barriers. In the United States, CT-FFR is guideline-endorsed and reimbursed, where HeartFlow is the most widely used, supported by robust clinical validation and outcome data. Despite regional variability, CTFFR offers a noninvasive solution that enhances patient management, reduces unnecessary invasive testing, and is poised for broader clinical integration as technology and validation advance.

The diagnostic value of Mycobacterium tuberculosis(MTB)complex and rifampicin resistance test kits(fluorescence PCR method)in detecting for MTB complex and rifampicin resistancein sputum samples was evaluated.A total of 271 patients with suspected tuberculosis were prospectively and consecutively enrolled at Hunan Chest Hospital between April 1,2024,and November 30,2024.Of these,229 patients were confirmed to have tuberculosis,whereas 42 patients were not-tuberculosis samples were col-lected from all patients and subjected to fluorescence PCR,Xpert MTB/RIF(abbreviated as Xpert),and MGIT 960 culture and drug sensitivity testing.Clinical diagnosis and MTB culture results served as reference standards for TB diagnosis,whereas phenotypic drug susceptibility testing and Xpert served as reference standards to for assessment of rifampicin resistance.The sensitivity,specificity,positive predictive value,and negative predictive value of the fluorescence PCR method were analyzed.Kappa tests were performed to analyze the concordance between detection techniques.With clinical diagnosis as the gold standard,the sensitivity and specificity of the fluorescence PCR method for the diagnosis of TB were 65.1%(149/229)and 97.6%(41/42),and the consistency test for the fluo-rescence PCR and Xpert methods showed high consistency(Kappa value=0.993).With the MGIT 960 liquid culture as the reference standard,the positive detection rate of the fluorescence PCR method for the detection of patients with positive cultures was 91.9%(102/111,95%CI:85.2%-96.2%),and the positive detection rate for 147 patients with sputum culture-negative TB was 27.9%(41/147,95%CI:21.3%-35.6%).With the phenotypic drug sensitivity test as the gold standard,the sensitivity and specificity of the fluo-rescence PCR method for the detection of rifampicin resistance were 100.0%(31/31)and 96.6%(28/29)respectively,and the consis-tency between tests was high(Kappa value=0.967).With Xpert as the gold standard,the sensitivity and specificity of fluorescence PCR for the detection of rifampicin resistance were 95.8%(46/48)and 99.0%(99/100),respectively,and the consistency between tests was high(Kappa value=0.953).Finally,samples with rifampicin resistance detected with the fluorescence PCR method had a clear rpoB gene mutation type according to one-generation sequencing.In conclusion,the fluorescence PCR method showed high sen-sitivity in detecting MTB complex groups and rifampicin resistance,and had high concordance with Xpert.Therefore,this technique can serve a rapid test for TB diagnosis to increase the rate of positive TB pathology and detection of rifampicin resistance.This method is particularly suitable for use in lower-income countries and economically disadvantaged grassroots communities.

Immunometabolism studies focus on the relationships between immune cell functions and cellular energy metabolism pathways.Immunometabolism plays an important regulatory role in immune-related diseases.Mycobacterium tuberculosis(M.tb),an important intracellular pathogenic bacterium,enters alveolar macrophages after infection.The confrontation between M.tb and the host is a complex and dynamic process involving multiple aspects and mechanisms,such as the immune response,granuloma formation,and immune evasion.M.tb effector proteins play key roles in maintaining bacterial virulence and regulating host cell metabolism.This article reviews the reprogramming process of glucose metabolism,lipid metabolism,and immunometabolism,as well as changes in mi-tochondrial function in M.tb-infected host cells,thereby revealing the relationship between M.tb pathogenicity and host metabolic regu-lation,which is important for understanding tuberculosis.

Objective:To explore the clinical characteristics and treatment methods of patients with small bowel obstruction secondary to mesenteric ischemia (MI).Methods:The clinical data of 24 patients with small intestinal obstruction secondary to MI from December 2021 to December 2024 in the Fourth Affiliated Hospital of Nanjing Medical University were retrospectively analyzed, including the clinical characteristics and surgical treatment.Results:Among the 24 patients with small intestinal obstruction secondary to MI, 19 were male and 5 were female, with ages ranging from 21 to 65 years old, and the disease course was 0.5 (1.0, 5.5) months. There were 8 cases of deep vein thrombosis, 6 cases of hypertension, 6 cases of atrial fibrillation, 5 cases of short bowel syndrome, 4 cases of abdominal trauma and 23 cases with a history of abdominal surgery. There were 4 cases of acute onset, presenting with full abdominal pain, elevated D-dimer and hematogenous intestinal obstruction. There were 20 cases of chronic onset, presenting with recurrent abdominal pain, weight loss and mechanical intestinal obstruction. The pathogenic factors were superior mesenteric vein thrombosis in 7 cases, superior mesenteric arteriosclerosis in 6 cases, mesenteric injury repair in 4 cases, superior mesenteric artery embolism in 3 cases, superior mesenteric aneurysm in 2 cases, superior mesenteric artery dissection in 1 case, and ileocolic aneurysm in 1 case. Three patients underwent surgical operations after the failure of interventional surgeries, and 20 patients were directly treated with surgery. The small intestinal obstruction was completely relieved in all cases. Another case was treated conservatively, but the small intestinal obstruction was not completely relieved.Conclusions:Small bowel obstruction secondary to MI is often atypical. CT angiography should be performed to identify the cause of obstruction due to deep vein thrombosis, atrial fibrillation, abdominal trauma or abdominal surgery. Surgery is the preferred treatment.

Purpose To explore factors influencing vaginal delivery during the first stage of labor using intrapartum ultrasound and to construct predictive models for delivery decision-making.Materials and Methods A total of 473 nulliparous women admitted to Heping Hospital,Northern Theater General Hospital from July to December 2021 were prospectively enrolled as the training set.Clinical data on admission and fetal biometric parameters(biparietal diameter,femur length,head circumference and abdominal circumference)measured within one week before delivery were collected.Ultrasound assessments of fetal position,angle of progression(AOP)and head-perineum distance(HPD)were performed during the first stage of labor.The latent phase group(n=255)was subdivided into vaginal delivery group(n=186)and cesarean section group(n=69);the active phase group(n=218)was divided into vaginal delivery group(n=168)and cesarean section group(n=50).The associations between fetal position,AOP,HPD and vaginal delivery were analyzed,and predictive models were constructed for the latent phase(model 1)and active phase(model 2).A validation set of 547 women from January to September 2022 was used to evaluate model performance via area under the curve(AUC),calibration curves and decision curve analysis.Results In the latent phase,multivariate regression identified maternal height(OR=3.970,P=0.002),pre-pregnancy body mass index(OR=0.893,P=0.036),labor onset type(OR=2.415,P=0.045),neonatal birth weight(OR=3.728,P=0.002),AOP(OR=11.649,P<0.001)and HPD(OR=4.240,P=0.004)as significant predictors.The training and validation sets showed AUCs of 0.917 and 0.869,respectively.Goodness-of-fit tests indicated excellent model calibration(χ2=3.437,P=0.904;χ2=10.877,P=0.209).Decision curve analysis demonstrated strong clinical utility.For the active phase,significant predictors included maternal height(OR=6.532,P<0.001),neonatal birth weight(OR=11.890,P<0.001),fetal position(OR=4.600,P=0.003),AOP(OR=7.229,P<0.001)and HPD(OR=4.722,P=0.005).AUCs were 0.943(training)and 0.906(validation),with good calibration(χ2=4.340,P=0.740;χ2=9.836,P=0.277)and clinical applicability.Conclusion First stage ultrasound assessment of fetal position,AOP and HPD correlates with delivery outcomes.The developed nomogram models combining these parameters with clinical factors provide valuable guidance for delivery decision-making.

Protein-protein interactions play an extremely important role in the biochemical functions of cells,and in-depth analysis of protein interactions is the key to understanding cellular life activities.In this study,we systematically mined the interacting proteins of Golgi protein 73(GP73)using classical immunoprecipitation combined with mass spectrometry,and sought to further analyze the molecular func-tion of GP73.Hepatocellular carcinoma cell line HepG2 was selected,and a stable cell line overexpress-ing GP73-3Flag was constructed using lentiviral infection technology.A total of 78 high-confidence GP73 interacting proteins were identified by immunoprecipitation coupled with mass spectrometry.Bioinformat-ics analyses suggested that GP73 interacted with nearly 40 cytosolic proteins and participated in the bio-logical processes of RNA transport,splicing,and translation.Further immunofluorescence and cytosolic protein isolation experiments confirmed the cytosolic localization of GP73 in a variety of tumor cells.Based on the 78 interacting proteins,we further screened protein interaction networks related to mRNA splicing and verified the existence of interactions between GP73 and seven proteins,including HNRN-PH3,SMN1,RBM14,andNCBP1,by co-immunoprecipitation experiments.In addition,minigene spli-cing assay results indicated that GP73 inhibited the splicing efficiency of pre-mRNA by cells.This study contributes to the expansion of knowledge regarding the function of GP73 and aids in elucidating its criti-cal role in cell biology and its potential association with diseases.

Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.

Objective:This study used data-independent acquisition (DIA) proteomics to analyze plasma protein expression in sepsis-induced coagulopathy (SIC), identify key biomarkers, and develop a diagnostic model.Methods:This prospective study included 46 adult sepsis patients from the intensive care unit. Patients were categorized into a general sepsis group ( n=26) and an SIC group ( n=20) based on established SIC criteria. Plasma samples underwent proteomic and bioinformatics analyses to identify differentially expressed protein (DEP) using LASSO regression and Random Forest. A diagnostic model was constructed and assessed via receiver operating characteristic (ROC) curve analysis. Results:The baseline data revealed that SIC patients exhibited longer prothrombin times, lower platelet counts, and higher D-dimer, fibrin degradation products, blood lactate, SOFA scores, and APACHE Ⅱ scores compared with general sepsis patients ( P<0.05). DIA proteomics identified 2 637 proteins, with 240 DEP meeting the criteria (fold change >1.5, P<0.05), including 81 upregulated and 159 downregulated DEP. Subcellular localization analysis revealed that DEPs were predominantly extracellular and nuclear. Gene ontology (GO) annotation showed that DEP were mainly involved in cellular physiology, biological regulation, and stress response processes in biological processes. Domain annotation revealed a predominance of immunoglobulin V regions in DEP, which are crucial for antigen recognition and binding. KEGG enrichment analysis showed significant enrichment of DEP in pathways related to natural killer cell-mediated cytotoxicity, glycosylphosphatidylinositol anchor biosynthesis, tumor necrosis factor signaling, and NF-κB signaling. LASSO regression identified angiogenin and C-type lectin domain family 10 member A as key DEP. The SIC diagnostic nomogram showed an area under the curve of 0.896, with 0.731 specificity and 0.900 sensitivity. Conclusion:The nomogram incorporating angiogenin and C-type lectin domain family 10 member A provides an accurate tool for SIC diagnosis.