ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.

Cholelithiasis is a common biliary system disease with a high incidence worldwide. Abnormal lipid metabolism has been shown to play a key role in the mechanism of gallstones. Therefore, recent research literature on the genes, proteins, and molecular substances involved in lipid metabolism during the pathogenesis of gallstones has been conducted. This study aimed to determine the role of lipid metabolism in the pathogenesis of gallstones and provide insights for future studies using previous research in genomics, metabolomics, transcriptomics, and other fields.

Cholelithiasis is a common biliary system disease with a high incidence worldwide. Abnormal lipid metabolism has been shown to play a key role in the mechanism of gallstones. Therefore, recent research literature on the genes, proteins, and molecular substances involved in lipid metabolism during the pathogenesis of gallstones has been conducted. This study aimed to determine the role of lipid metabolism in the pathogenesis of gallstones and provide insights for future studies using previous research in genomics, metabolomics, transcriptomics, and other fields.

Cholelithiasis is a common biliary system disease with a high incidence worldwide. Abnormal lipid metabolism has been shown to play a key role in the mechanism of gallstones. Therefore, recent research literature on the genes, proteins, and molecular substances involved in lipid metabolism during the pathogenesis of gallstones has been conducted. This study aimed to determine the role of lipid metabolism in the pathogenesis of gallstones and provide insights for future studies using previous research in genomics, metabolomics, transcriptomics, and other fields.

Cholelithiasis is a common biliary system disease with a high incidence worldwide. Abnormal lipid metabolism has been shown to play a key role in the mechanism of gallstones. Therefore, recent research literature on the genes, proteins, and molecular substances involved in lipid metabolism during the pathogenesis of gallstones has been conducted. This study aimed to determine the role of lipid metabolism in the pathogenesis of gallstones and provide insights for future studies using previous research in genomics, metabolomics, transcriptomics, and other fields.

Cholelithiasis is a common biliary system disease with a high incidence worldwide. Abnormal lipid metabolism has been shown to play a key role in the mechanism of gallstones. Therefore, recent research literature on the genes, proteins, and molecular substances involved in lipid metabolism during the pathogenesis of gallstones has been conducted. This study aimed to determine the role of lipid metabolism in the pathogenesis of gallstones and provide insights for future studies using previous research in genomics, metabolomics, transcriptomics, and other fields.

Objective To propose a whole-life cycle management model for valvular heart disease (VHD), systematically elucidate its underlying logic and implementation pathways, and concurrently review and analyze its preliminary application outcomes. Methods Since 2020, West China Hospital of Sichuan University has established a management system encompassing "assessment-decision-intervention-follow-up", including: (1) a risk-stratified, tiered management pathway; (2) six core functions ("promotion, screening, prevention, diagnosis, treatment, and rehabilitation") coordinated by disease-specific managers; (3) an intelligent decision support information platform; and (4) a collaborative network of multidisciplinary teams and regional academic alliances. To evaluate the effectiveness of this management model, we retrospectively included three cohorts: (1) the population screened by echocardiography from 2020 to 2024, analyzing the detection rate of aortic valve disease and risk stratification; (2) patients enrolled in the whole-life cycle management from April 2021 to December 2024, assessing follow-up outcomes, hospital satisfaction, and changes in quality of life; (3) patients who underwent transcatheter aortic valve replacement (TAVR) from January 2022 to January 2024, evaluating the one-year all-cause mortality rate, perioperative complications, and improvements in New York Heart Association (NYHA) classification. Results Between 2020 and 2024, a total of 583 874 individuals underwent echocardiographic screening. A total of 48 089 patients with aortic valve disease were identified, including 3 401 (7.1%) high-risk patients, 18 657 (38.8%) moderate-risk patients, and 26 031 (54.1%) low-risk patients. Among them, 2 417 patients were enrolled in whole-life cycle management. Patient satisfaction scores showed a yearly increase, rising from 73.89 points before 2020 to 93.74 points in 2024. The 1-year mortality rate in the TAVR cohort decreased to 5.3%, significantly lower than the 8.2% observed under early standard management between 2014 and 2019 (P<0.01). Conclusion Through process optimization and resource integration, the VHD whole-life cycle management model has demonstrated significant effectiveness in standardizing diagnostic and follow-up procedures, enhancing patient satisfaction and quality of life, and reducing mortality. These outcomes highlight its practical value for broader implementation in China.

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 clinical significance of the IgG1 and IgG3 subtypes of red blood cell unexpected antibodies. [Methods] The IgG1 and IgG3 typing tests were performed on the IgG type alloantibodies of Rh, Duffy and Kidd blood group systems detected in our hospital. Additionally, IgG1 and IgG3 titers were measured and monocyte monolayer assay was performed on 12 cases of anti-E to analyze the characteristics of different IgG subtypes of anti-E. [Results] Among the 115 cases of unexpected IgG antibodies, 81 cases of monospecific antibodies were predominantly IgG1 (58.02%, 47/81); 17 cases of mixed antibodies were predominantly IgG1+IgG3 (47.06%, 16/34). In monocyte monolayer assays, the phagocytic rate and antibody titer of IgG1 and IgG3 antibodies were positively correlated, while in IgG1+IgG3 complex antibodies, it was mainly associated with IgG3, with higher antibody titers correlating with higher phagocytic rates. When the anti-E titers were 32 for all, the IgG1+IgG3 complex had the highest phagocytosis rate, followed by IgG3 alone, and IgG1 alone had the lowest phagocytic rate. [Conclusion] Monospecific antibodies among unexpected antibodies are primarily IgG1, while mixed antibodies are mainly IgG1+IgG3. The results of MMA indicate that the immune response caused by the IgG1+IgG3 complex is more severe. Therefore, when antibodies like anti-E coexist with other antibodies, even if the titer is low, the immune response may still be severe, which should be taken seriously in clinical practice.

Background Occupational hazards in the workplace are often determined through on-site investigations and recognized hazards to determine monitoring items, and occupational health risk assessments are rarely carried out on the monitoring results. Objective Based on the qualitative results of volatile organic compounds, to monitor 8 types of volatile organic compounds in workplace air, and conduct occupational health risk assessments for workstations with disqualified results. Methods This study selected 29 enterprises from 12 key industries listed in the Work Plan for Monitoring Occupational Disease Hazards in Workplaces in Chongqing (2023) in 5 districts and counties of Chongqing. A total of 49 key workstations, including spray painting, glue brushing, glue adjustment, adhesion, printing, bonding, packing, oil film, feeding, material preparation,dispersion, and immersion, were selected for air sampling and chemical headspace treatment. The volatile organic compounds in the headspace were separated with a gas chromatography capillary column and sequentially entered into a mass spectrometer for detection. Qualitative analysis of each component was conducted using the National Institute of Technical Standards and Technology standard spectrum library and retention time. Based on the qualitative results, chemical hazards and related workstations were determined, then quantitative evaluation was conducted for key hazards in workplace air, and followed by occupational health risk assessment for the disqualified workstations using semi-quantitative exposure ratio. Results One or more of the 8 key chemical hazards were positive in the 29 enterprises, among which xylene (89.7%) and toluene (86.2%) had the highest positive rates, followed by benzene (34.5%), 1,2-dichloroethane (31.0%), ethylbenzene (20.7%), n-hexane (10.3%), and trichloromethane (6.9%), and trichloroethylene was negative. In the quantitative evaluation for occupational hazards in workplace air, the highest positive rates of chemical hazards were xylene (70.6%) and ethylbenzene (83.3%), and the highest disqualification rate of chemical hazards was 1,2-dichloroethane (50.0%). Out of the 29 enterprises, 8 reported disqualified air key chemical hazards, mainly in the workstations of spray painting and immersion. One spray painting workstation reported 3 disqualified chemical hazards, and one spary painting workstation reported 2 disqualified chemical hazards. The risk level of 1,2-dichloroethane in the spary painting workstations of 3 enterprises was high. The joint risk of 2 enterprises with multiple disqualified chemical hazards was high. Conclusion The positive rates of benzene derivatives and 1,2-dichloroethane in workplace chemicals are high in this study. The risk level of 1,2-dichloroethane in the spary painting workstations of 3 companies is high, and this substance needs special attention in future monitoring.