Objective To explore the causal relationship between immune cells and heart failure (HF), and the mediating role of serum metabolites, in order to identify potential biomarkers and therapeutic targets. Methods We employed a two-sample Mendelian randomization (MR) analysis method based on genome-wide association study (GWAS) data, analyzing the direct and indirect effects of 731 types of immune cells and 1 400 metabolites on HF. We selected valid instrumental variables and conducted statistical analyses using R software. The primary analysis was performed using the inverse variance weighted method, supplemented by MR-Egger analysis and weighted median method. The stability of the results was assessed through tests such as Cochran’s Q test. Results Our research found a negative causal relationship between PD-L1 on CD14−CD16+ and HF. Sensitivity analysis supported this result. The reverse MR analysis did not find an effect of HF on PD-L1 on CD14−CD16+, indicating that PD-L1 on CD14−CD16+ might play a unidirectional role in reducing the risk of HF. Further mediation MR analysis showed that PD-L1 on CD14−CD16+ might influence the risk of HF onset by regulating the levels of sphingomyelin (d17:1/14:0, d16:1/15:0), with a mediation effect ratio of 6.7%. Conclusion PD-L1 on CD14−CD16+ may reduce the risk of HF by elevating the levels of sphingomyelin (d17:1/14:0, d16:1/15:0), which provides a new perspective for understanding the pathogenesis of HF.

OBJECTIVE To establish the high-performance liquid chromatography （HPLC） fingerprint of Sagina japonica ， and to establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six componen ts in S. japonica ， aiming to provide references for the quality control of this medicinal herb. METHODS HPLC method was used to establish the fingerprints of 12 batches （No. S1-S12） of S . japonica according to Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine . The similarity evaluation and identification of common peaks were conducted， followed by cluster analysis （CA） and principal component analysis （PCA） for 12 batches of samples. Using vicenin-2 as internal reference， the contents of p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were determined by QAMS method. The results were then compared with those obtained by the external standard method. RESULTS The similarities of HPLC fingerprints for 12 batches of S . japonica ranged from 0.828-0.998. A total of 17 common peaks were calibrated， and 6 common peaks were identified. Specifically， peak 5 was identified as vicenin-2， peak 7 as p-hydroxycinnamic acid， peak 10 as apigenin-6-C-arabinoside-8-C-glucoside， peak 11 as isoorientin， peak 13 as vitexin， and peak 15 as 20-hydroxyecdysone. The results of CA showed that S1-S5， S7 and S9-S11 were clustered into one category， S6 was clustered into one category， and S8 and S12 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the four main components was 89.430%. The content ranges measured by QAMS method for p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were 0.017 4-0.269 4， 0.568 8-4.240 3， 0.503 2-5.040 3， 0.024 0-0.132 0 and 2.551 3-4.881 1 mg/g， respectively. There was no significant difference in the contents of components measured between QAMS method and the external standard method （ P ＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS method can be used for quality evaluation and quality control of S . japonica.

Methods: This retrospective cohort study included 153 single-level OLIF cases between January 2016 and December 2023. Postoperative computed tomography was used to classify patients into central fusion, lateral fusion, and non-fusion groups. Demographic, surgical, and radiographic parameters—including osteophyte grade, Hounsfield unit (HU) values, and cage positioning—were analyzed to identify factors affecting fusion. Cage subsidence and clinical outcomes (Oswestry Disability Index [ODI], Visual Analog Scale) were compared across groups. Results: Lateral fusion occurred in 39.9% of cases, central in 56.9%, and non-fusion in 3.2%. Preoperative osteophytes and higher HU values were associated with lateral fusion (p<0.001). OLIF with standalone cages (OLIF-SA) had a significantly higher lateral fusion rate than OLIF with posterior screw fixation (OLIF-PS) (p=0.002). Smoking was a significant risk factor for non-fusion (p=0.005). No significant difference in cage subsidence was observed between central and lateral fusion, but non-fusion showed more severe subsidence. Clinical outcomes improved across fusion groups, though non-fusion cases had worse ODI scores at follow-up. Conclusions Lateral fusion is a distinct OLIF feature influenced by osteophytes, bone density, and fixation type. It does not negatively affect cage subsidence or outcomes, but solid fusion remains essential for recovery. These findings enhance understanding of OLIF fusion and may guide surgical planning.

Background/Aims: Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA. Methods: Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development. Results: DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression. Conclusions Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.

Purpose: Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear. Materials and Methods: The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2. Results: LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects. Conclusion This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.

Surgical robot(SR),which integrates mechanical control,multimodal image navigation and artificial intelligence(AI)algorithms,is reshaping modern surgical paradigm with its advantages of minimally invasive operation,high precision and intelligent capabilities.The evolution,classification and representative commercial platforms of SR both domestically and internationally were systematically reviewed in this article,mainly focused on in-depth comparison of core parameters and key technological breakthroughs across different manufacturers and future development trends toward semi-autonomous and fully autonomous surgical systems.

Objective To investigate the relationship between ventricular arterial coupling(VAC)and haemodynamics of patients with sepsis and the predictive value for the 28-day prognosis.Methods A total of 164 patients with sepsis were selected and given fluid resuscitation treatment(infusion of 30 mL/kg of crystalloid over 3 h),and changes of VAC[effective aortic elasticity(Ea)/ventricular end-systolic elasticity(Ees)]values and hemodynamic parameters of patients resuscitated for 0 h,24 h and 72 h were observed.The difference between Ea/Ees for 24 h and 72 h of resuscitation and 0 h was calculated.Pearson method was used to analyze the correlation between Ea/Ees and Δcentral venous pressure(CVP),Δspiratory volume index(SVI)and Δcardiac index(CI).According to the 28-day prognosis,patients were divided into two groups:the survival group(123 cases)and the death group(41 cases).General information was collected in two groups of patients.The predictive values of 24 h ΔEa/Ees and 72 h ΔEa/Ees for 28-day death in sepsis patients were analyzed by multivariate Cox regression models and receiver operating characteristics(ROC)curve.Results The Ea/Ees of 164 patients resuscitated for 24 h and 72 h were lower than those of 0 h,and the Ea/Ees of 72 h was lower than that of 24 h(all P<0.05).CVP,SVI and CI of 164 patients resuscitated for 24 h and 72 h were higher than those of 0 h,and the CVP,SVI and CI of 24 h was higher than that of 72 h(all P<0.05).The 24 h ΔEa/Ees was significantly lower than that of 72 h ΔEa/Ees(P<0.05),and 24 h ΔCVP,SVI and CI were higher than those of 72 h(P<0.05).There was a negative correlation between 24 h ΔEa/Ees and 24 h ΔCVP,24 h ΔSVI and 24 h ΔCI(P<0.05).Acute Physiology and Chronic Health Status Score II(APACHE Ⅱ)≥20 points,Sequential Organ Failure Score(SOFA)≥10 points,24 h ΔEa/Ees and 72 h ΔEa/Ees were higher in the death group than those in the survival group(P<0.05).Elevated APACHE Ⅱ,SOFA,24 h ΔEa/Ees and 72 h ΔEa/Ees were risk factors affecting the 28-day prognosis of patients with sepsis(P<0.05).The 24-hour ΔEa/Ees and 72-hour ΔEa/Ees were more effective in predicting the 28 d prognosis of patients with sepsis(P<0.05).Conclusion Changes of Ea/Ees can better reflect the haemodynamic changes in sepsis patients in the early stages of treatment and help to predict the 28-day prognosis of sepsis patients.

Objective To investigate the relationship between ventricular arterial coupling(VAC)and haemodynamics of patients with sepsis and the predictive value for the 28-day prognosis.Methods A total of 164 patients with sepsis were selected and given fluid resuscitation treatment(infusion of 30 mL/kg of crystalloid over 3 h),and changes of VAC[effective aortic elasticity(Ea)/ventricular end-systolic elasticity(Ees)]values and hemodynamic parameters of patients resuscitated for 0 h,24 h and 72 h were observed.The difference between Ea/Ees for 24 h and 72 h of resuscitation and 0 h was calculated.Pearson method was used to analyze the correlation between Ea/Ees and Δcentral venous pressure(CVP),Δspiratory volume index(SVI)and Δcardiac index(CI).According to the 28-day prognosis,patients were divided into two groups:the survival group(123 cases)and the death group(41 cases).General information was collected in two groups of patients.The predictive values of 24 h ΔEa/Ees and 72 h ΔEa/Ees for 28-day death in sepsis patients were analyzed by multivariate Cox regression models and receiver operating characteristics(ROC)curve.Results The Ea/Ees of 164 patients resuscitated for 24 h and 72 h were lower than those of 0 h,and the Ea/Ees of 72 h was lower than that of 24 h(all P<0.05).CVP,SVI and CI of 164 patients resuscitated for 24 h and 72 h were higher than those of 0 h,and the CVP,SVI and CI of 24 h was higher than that of 72 h(all P<0.05).The 24 h ΔEa/Ees was significantly lower than that of 72 h ΔEa/Ees(P<0.05),and 24 h ΔCVP,SVI and CI were higher than those of 72 h(P<0.05).There was a negative correlation between 24 h ΔEa/Ees and 24 h ΔCVP,24 h ΔSVI and 24 h ΔCI(P<0.05).Acute Physiology and Chronic Health Status Score II(APACHE Ⅱ)≥20 points,Sequential Organ Failure Score(SOFA)≥10 points,24 h ΔEa/Ees and 72 h ΔEa/Ees were higher in the death group than those in the survival group(P<0.05).Elevated APACHE Ⅱ,SOFA,24 h ΔEa/Ees and 72 h ΔEa/Ees were risk factors affecting the 28-day prognosis of patients with sepsis(P<0.05).The 24-hour ΔEa/Ees and 72-hour ΔEa/Ees were more effective in predicting the 28 d prognosis of patients with sepsis(P<0.05).Conclusion Changes of Ea/Ees can better reflect the haemodynamic changes in sepsis patients in the early stages of treatment and help to predict the 28-day prognosis of sepsis patients.

Linzhou,formerly known as Lin County,is the pioneer site for cancer prevention and control in China,established as early as 1959.For more than 60 years,the construction of cancer prevention and control system in Linzhou has been continuously improved,but in the face of the new situation of cancer prevention and control,the existing system has deficiencies in cancer registration,screening,treatment,scientific research,science popularization and other aspects.With the establishment of Linzhou Cancer Center,it has brought new opportunities and new mis-sions for Linzhou cancer prevention and control.Based on this,this paper puts forward a series of measures for the construction of Linzhou cancer prevention and control system,aiming to improve the Linzhou cancer prevention and control system and improve the prevention and control efficiency.

The integration of artificial intelligence(AI)into medical practice has significantly impacted the field of cerebrovascular disease.AI algorithms are increasingly being employed to enhance the diagnosis and management of cerebrovascular conditions.However,the clinical application and accuracy of these AI tools require further rigorous evaluation.This review probes into the current applications of AI in diagnosis and decision-making in cerebrovascular disease,and explores the potential and challenges associated with their implementation.