With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.

ObjectiveGastric hemorrhage is one of the most common and life-threatening emergencies of the upper digestive tract. Early identification and continuous monitoring are essential for reducing rebleeding rates and mortality, particularly within the critical early hours after onset. Although endoscopy and radiological imaging can accurately localize bleeding sites, these approaches are invasive, resource-intensive, and unsuitable for continuous bedside monitoring. Electrical impedance tomography (EIT), as a noninvasive and radiation-free functional imaging technique, offers real-time visualization of conductivity distribution and has the potential for detecting intragastric bleeding based on the electrical contrast between blood and surrounding gastric tissues. In this study, a three-dimensional gastric EIT (3D-gEIT) framework is proposed to achieve noninvasive, real-time, and dynamic monitoring of gastric hemorrhage, with emphasis on spatial localization and quantitative volume assessment. MethodsA three-dimensional upper-abdominal simulation model incorporating the stomach, gastric wall, gastric contents, and surrounding tissues was established. Three electrode configurations, namely the dual layer ring, the four layer staggered ring, and the opposed dual plane array, were designed and systematically compared to evaluate their influence on depth sensitivity and spatial resolution. Based on the Tikhonov-Noser hybrid regularization scheme, a region-clustering constraint was introduced to develop the TK-Noser-RCC algorithm. This approach aggregates spatially adjacent elements with similar conductivity variations, thereby enhancing structural continuity and suppressing isolated noise artifacts. To validate the proposed framework, an upper-abdominal physical phantom was constructed using agar to simulate background tissue conductivity. Hemispherical high-conductivity inclusions with volumes ranging from 10 ml to 50 ml were attached to the inner gastric wall to mimic localized bleeding under different gastric filling states. Boundary voltages were acquired under a 120 kHz excitation current and reconstructed using the TK-Noser-RCC algorithm. Furthermore, an in vivo animal experiment was performed using a porcine model with adult-scale abdominal dimensions. A total of 100 ml of autologous blood was injected incrementally into the stomach to simulate progressive gastric hemorrhage, and time-difference EIT reconstruction was conducted at each injection stage to assess the dynamic system response under physiological conditions. ResultsSimulation results demonstrated that the opposed dual-plane electrode array achieved superior depth sensitivity distribution and spatial resolution. For a 40 ml hemorrhage model, the average ICC and SSIM improved by 55.9% and 38.8% compared with the dual-layer ring configuration, and by 64.0% and 39.5% compared with the four-layer staggered configuration. The proposed region-clustering constraint significantly enhanced reconstruction stability. Under added Gaussian noise of 40 dB and 30 dB, ICC values remained approximately 0.85, indicating effective artifact suppression and preservation of boundary integrity. In physical phantom experiments, reconstructed hemorrhage volumes increased approximately linearly with the preset hemispherical volumes, and the reconstructed high-conductivity regions closely matched the actual bleeding locations. Both empty-stomach and full-stomach conditions were evaluated, demonstrating that the opposed dual-plane configuration maintained stable imaging performance across varying gastric contents. In the animal experiment, reconstructed low-impedance regions expanded progressively with increasing injected blood volume. The spatial localization of the hemorrhage remained stable throughout the procedure, and no significant artifacts were observed. Quantitative analysis showed that reconstructed volume and average conductivity variation exhibited an approximately linear growth trend with injected blood volume, confirming the sensitivity of the system to dynamic intragastric conductivity changes. ConclusionThe proposed 3D-gEIT framework enables quantitative reconstruction of gastric hemorrhage volume and spatial distribution with improved depth sensitivity, structural continuity, and noise robustness compared with conventional EIT approaches. By integrating optimized electrode configuration and a region-clustering-constrained reconstruction algorithm, the system provides stable dynamic monitoring under both controlled phantom conditions and in vivo physiological environments. This method offers a noninvasive, real-time, and low-cost imaging strategy for early diagnosis, postoperative monitoring, and bedside surveillance of gastric bleeding.

Obesity represents a critical global health challenge characterized by a complex pathogenesis involving dysregulated adipogenesis and lipid metabolism. In recent years, long non-coding RNAs (lncRNAs) have been established as crucial regulators in the initiation and progression of obesity. These RNA molecules, typically exceeding 200 nucleotides in length, have emerged as key modulators of various biological processes through multiple molecular mechanisms. This review innovatively defines lncRNAs as “molecular switches” in energy metabolism—they regulate adipogenesis and lipid metabolism through key signaling pathways, and exert bidirectional control over obesity via ceRNA mechanisms or recruitment of chromatin-modifying complexes in tissues such as adipose and liver. Additionally, circulating lncRNAs, owing to their tissue specificity and stability, hold promise as non-invasive liquid biopsy biomarkers for obesity and related metabolic disorders. Furthermore, we systematically summarize lncRNA-based intervention strategies, including targeting pathogenic lncRNAs using antisense oligonucleotides (ASOs) or CRISPR/Cas gene editing systems, utilizing viral vectors (such as adeno-associated virus, AAV) to deliver or mimic beneficial lncRNAs in target tissues, and employing exercise as a non-pharmacological intervention that ameliorates obesity and its related complications at multiple levels, offering novel insights for personalized therapeutic approaches. We also critically assess the current challenges in clinical translation, particularly addressing issues related to delivery efficiency, target specificity, and long-term safety concerns. Future research should focus on the following directions: integrating multi-omics with functional screening to elucidate the regulatory networks of lncRNAs in obesity and its complications; leveraging artificial intelligence to construct predictive models of lncRNA-target gene interactions; developing efficient and safein vivo delivery systems, and optimizing drug design to enhance specificity and safety; establishing highly sensitive detection methods and stable circulating lncRNA biomarkers to enable precise patient stratification and real-time monitoring of therapeutic responses; investigating the synergistic effects of lncRNAs with existing treatments (e.g., GLP-1 receptor agonists, lifestyle interventions) to develop combination therapies and establish a multidimensional, personalized precision medicine framework for obesity. This review aims to provide novel perspectives for understanding the molecular mechanisms underlying obesity and to establish a solid theoretical foundation for developing lncRNA-targeted precision medicine strategies against obesity and its associated metabolic complications.

Obesity represents a critical global health challenge characterized by a complex pathogenesis involving dysregulated adipogenesis and lipid metabolism. In recent years, long non-coding RNAs (lncRNAs) have been established as crucial regulators in the initiation and progression of obesity. These RNA molecules, typically exceeding 200 nucleotides in length, have emerged as key modulators of various biological processes through multiple molecular mechanisms. This review innovatively defines lncRNAs as “molecular switches” in energy metabolism—they regulate adipogenesis and lipid metabolism through key signaling pathways, and exert bidirectional control over obesity via ceRNA mechanisms or recruitment of chromatin-modifying complexes in tissues such as adipose and liver. Additionally, circulating lncRNAs, owing to their tissue specificity and stability, hold promise as non-invasive liquid biopsy biomarkers for obesity and related metabolic disorders. Furthermore, we systematically summarize lncRNA-based intervention strategies, including targeting pathogenic lncRNAs using antisense oligonucleotides (ASOs) or CRISPR/Cas gene editing systems, utilizing viral vectors (such as adeno-associated virus, AAV) to deliver or mimic beneficial lncRNAs in target tissues, and employing exercise as a non-pharmacological intervention that ameliorates obesity and its related complications at multiple levels, offering novel insights for personalized therapeutic approaches. We also critically assess the current challenges in clinical translation, particularly addressing issues related to delivery efficiency, target specificity, and long-term safety concerns. Future research should focus on the following directions: integrating multi-omics with functional screening to elucidate the regulatory networks of lncRNAs in obesity and its complications; leveraging artificial intelligence to construct predictive models of lncRNA-target gene interactions; developing efficient and safein vivo delivery systems, and optimizing drug design to enhance specificity and safety; establishing highly sensitive detection methods and stable circulating lncRNA biomarkers to enable precise patient stratification and real-time monitoring of therapeutic responses; investigating the synergistic effects of lncRNAs with existing treatments (e.g., GLP-1 receptor agonists, lifestyle interventions) to develop combination therapies and establish a multidimensional, personalized precision medicine framework for obesity. This review aims to provide novel perspectives for understanding the molecular mechanisms underlying obesity and to establish a solid theoretical foundation for developing lncRNA-targeted precision medicine strategies against obesity and its associated metabolic complications.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective:To explore the role of lactate in Superoxide dismutase 2 (SOD2) lactylation in cerebral ischemia-reperfusion injury in mice.Methods:Male C57BL/6 mice were randomLy (random number) divided into 4 groups: sham operation group (Sham group), Middle Cerebral Artery Occlusion/Reperfusion group (MCAO/R group), Middle Cerebral Artery Occlusion/Reperfusion+2-Deoxy-D-glucose group (MCAO/R+2-DG group), Middle Cerebral Artery Occlusion/Reperfusion+sodium lactate group (MCAO/R+Nala group). Cerebral ischemia reperfusion injury model was established in the mice of MCAO/R group using the thread occlusion. In the MCAO/R+2-DG group, mice received an intraperitoneal injection of 250 mg/kg of 2-DG 90 min before ischemia. Mice in the MCAO/R+ Nala group was given an intraventricular injection of 2 μL of 100 mmol/L Nala 24 h before ischemia. Commercial kits was used to detect lactate levels, Hematoxylin & Eosin Staining (HE) was employed to observe cell morphology, Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) was performed to assess cell apoptosis, and immunofluorescence was utilized to detect reactive oxygen species (ROS). Western blot was conducted to measure SOD2, Superoxide Dismutase 2 Lysine 114 Lactylation(SOD2-K114la), Iron regulatory protein 2(IRP2) and transferrin receptor protein 1(TFR1) levels. The above indicators were analyzed and compared by one-way variance.Results:Compared with the Sham group, the MCAO/R group showed increased levels of lactate, SOD2-K114la, TUNEL positive rate, ROS, IRP2 and TFR1[lactate: (0.608±0.064) vs. (0.376±0.030), P<0.005; SOD2-K114la: (2.311±0.146) vs. (1.009±0.073), P<0.0005; TUNEL positive rate: (35.420±2.832) vs. (0.294±0.147), P<0.0001; ROS: (3.415±0.229) vs. (1.166±0.155), P<0.0001; IRP2: (1.735±0.125) vs. (1.000±0.000), P<0.0001; TFR1: (1.611±0.058) vs. (1.000±0.000), P<0.0001], while SOD2 decreased[(0.545±0.062) vs. (1.082±0.088), P<0.0001]. HE staining indicated brain damage. Compared with the MCAO/R group, the MCAO/R+2-DG group showed reduced levels of lactate, SOD2-K114la, TUNEL positive rate, ROS, IRP2, and TFR1[lactate: (0.453±0.047) vs. (0.608±0.064), P<0.05; SOD2-K114la: (1.764±0.188) vs. (2.311±0.146), P<0.05; TUNEL positive rate: (23.800±3.168) vs. (35.420±2.832), P<0.005; ROS: (2.640±0.213) vs. (3.415±0.229), P<0.005; IRP2: (1.463±0.055) vs. (1.735±0.125), P<0.05; TFR1: (1.252±0.081) vs. (1.611±0.058), P<0.005], with higher level of SOD2 [(0.727±0.026) vs. (0.545±0.062), P<0.05]. Meanwhile, HE staining indicated reduced damage. Compared with the MCAO/R group, the MCAO/R+Nala group showed increased levels of lactate, SOD2-K114la, TUNEL positive rate, ROS, IRP2 and TFR1[lactate: (1.021±0.051) vs. (0.608±0.064), P<0.0001; SOD2-K114la: (3.479±0.275) vs. (2.311±0.146), P<0.0005; TUNEL positive rate: (53.430±3.551) vs. (35.420±2.832), P<0.0001; ROS: (4.687±0.253) vs. (3.415±0.229), P<0.0001; IRP2: (2.463±0.117) vs. (1.735±0.125), P<0.0001; TFR1: (2.209±0.094) vs. (1.611±0.058), P<0.0001], with decreased levels of SOD2 [(0.286±0.040) vs. (0.545±0.062), P<0.0001]. And HE staining revealed worsened braindamage. Conclusions:Increased lactate levels can enhance the lactylation of SOD2, exacerbating brain damage after Cerebral ischemia reperfusion injury(CIRI). Inhibiting lactate production may alleviate brain injury by regulating iron Metabolism.

Objective:To explore the risk factors of adverse events during the perioperative period of transurethral resection of bladder tumor(TURBT)in bladder cancer patients with coronary atherosclerotic heart disease(CAD).Methods:We retrospectively analyzed the clinical data of bladder cancer patients who underwent TURBT in Beijing Anzhen Hospital from June 2022 to September 2024.All patients with bladder cancer and CAD underwent coronary computed tomography angiography(CCTA)for diagnosis and assessment of CAD before surgery.Based on the CCTA results,the patients with bladder cancer and CAD were divided into two groups:those with mild to moderate coronary stenosis and those with severe coronary stenosis.The severe coronary stenosis group was further divided into two subgroups based on whether they received low-molecular-weight heparin(LMWH)bridging therapy or continued their anti-platelet treatment before surgery.Perioperative anticoagulation and antiplatelet strategies were adjusted according to the opinions of the specialists.The incidence of adverse events within 30 days postoperative-ly was followed up and analyzed.Results:A total of 80 bladder cancer patients with CAD who underwent TURBT were included in the study.Among the 80 patients with CAD,55(68.8％)had mild to moder-ate coronary stenosis,and 25(31.2％)had severe coronary stenosis.Compared with those had mild to moderate coronary stenosis,the patients who had severe coronary stenosis had a higher incidence of post-operative bleeding and pulmonary embolism,although the differences were not statistically significant(P＞0.05).However,the incidence of postoperative myocardial infarction was significantly higher in the patients who had severe coronary stenosis(P=0.034).Among the patients with severe coronary stenosis,8(32.0％)received LMWH bridging therapy before TURBT,and 17(68.0％)continued their previous antiplatelet treatment.Compared with those who continued antiplatelet treatment,the patients who re-ceived LMWH bridging therapy had a higher incidence of postoperative bleeding and pulmonary embo-lism,although the differences were not statistically significant(P＞0.05).However,the incidence of postoperative myocardial infarction was significantly higher in the LMWH bridging group(P=0.032).Conclusion:Patients with mild-to-moderate coronary stenosis demonstrate relatively low perioperative risk during TURBT procedures and may safely undergo TURBT following antiplatelet therapy discontinuation.Conversely,those with severe coronary stenosis exhibit significantly higher perioperative risk and require intensive monitoring.In bladder cancer patients with concomitant severe coronary stenosis,perioperative LMWH bridging therapy is associated with increased myocardial infarction risk,whereas continued anti-platelet therapy does not elevate postoperative bleeding risk.Current evidence therefore supports maintai-ning antiplatelet therapy in these patients,with appropriate bleeding risk assessment.

Corynebacterium pseudotuberculosis(C.pseudotuberculosis)is a group of intracellular Gram-positive bacteria that can cause zoonotic diseases.This study investigated the mechanisms of inflammatory mediator secretion and the phagocytic and bactericidal functions of mouse peritoneal macrophages following C.pseudotuberculosis infection.Initially,transcriptomic sequencing was em-ployed to identify genes critical for C.pseudotuberculosis infection in macrophages.Subsequently,gene knockout mice were utilized to assess the impact of these key genes on inflammatory media-tor secretion,activation of inflammatory signaling pathways,and the phagocytic and bactericidal functions of macrophages infected with C.pseudotuberculosis.Techniques such as ELISA,Western blot,and immunofluorescence were employed in this analysis.Further,transcriptomic sequencing was conducted to identify key downstream genes.Following C.pseudotuberculosis infection,GO enrichment analysis was performed,and TLR2 was identified as the focal point of the study.Perito-neal macrophages from C57BL/6J and TLR2 knockout(TLR2-/-)mice were infected with C.pseudotuberculosis.ELISA results revealed that the levels of TNF-α,IL-1β,and IL-10 were signifi-cantly downregulated in TLR2-/-macrophages compared to C57BL/6J macrophages post-infec-tion.Western blot demonstrated that the absence of TLR2 led to a marked decrease in M APK(p38 and ERK)signaling pathway phosphorylation following C.pseudotuberculosis infection.Immuno-fluorescence results indicated that the phagocytic rate of TLR2-/-macrophages was significantly higher than that of C57BL/6J macrophages after infection.Subsequently,transcriptomic analysis of C57BL/6J and TLR2-/-macrophages infected with C.pseudotuberculosis was performed,followed by GO enrichment analysis of differential genes.IL-36a,Cx3cr1,TLR1,and TLR2 were identified as key differential genes.TLR2 plays a crucial role in the inflammatory response induced by C.pseudotuberculosis infection in mice,influencing the progression of the inflammatory response and host outcomes through the secretion of inflammatory mediators,activation of signaling pathways,and modulation of phagocytic and bactericidal functions.IL-36a and Cx3cr1 were identified as key downstream factors in this process.

Objective:To investigate the efficacy and safety of transurethral water vapor thermal therapy(WVTT)using the Rezūm system for benign prostatic hyperplasia(BPH)in the real world.Methods:A total of 181 patients with BPH were recruited from the Second Affiliated Hospital of Nanjing Medical University from August 2022 to December 2023,of whom 173 patients were treated with WVTT using the Rezūm system,while 8 patients were treated with WVTT combined with TURP.They were followed up at 1,3,and 6 months postoperatively to assess changes in the IPSS,QoL,Qmax,IIEF-5,and the occurrence of any complications.Results:All 181 surgeries in this group were successfully completed.The operation time of the Rezūm system was(4.6±1.4)mi-nutes.The postoperative indwelling catheterization time was(8.0±2.1)days.With a follow-up of at least 6 months,there was a significant decrease in PV,IPSS and QoL,and a remarkable increase had been found in Qmax as well(P＜0.05).There was no sig-nificant difference in IIEF-5 before and after the operation(P＞0.05).In this groups of patients,postoperative complications mainly included 95 cases(52.5％)of gross hematuria,6 cases(3.3％)of retrograde ejaculation,5 cases(2.8％)of urethral stricture,4 cases(2.2％)of prostatitis,and 10 cases(5.5％)of urinary tract infection.Four cases(2.2％)underwent surgical retreatment for BPH after surgery.Conclusion:In the real world,the use of Rezūm thermal steam ablation system for the treatment of BPH has sat-isfactory short-term effect,short surgical time,and significant improvement in IPSS,QoL,Qmax,which does not adversely affect sexu-al function.

Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.