Chronic atrophic gastritis （CAG）， a common digestive system disease， has an unclear pathogenesis. Currently， it is mostly believed to be related to Helicobacter pylori （Hp） infection， immune factors， dietary factors， bile reflux， long-term use of antibiotics and anti-inflammatory drugs， and other factors. Ferroptosis is a regulated cell death mechanism that is iron-dependent and characterized by disruption of iron metabolism and accumulation of lipid peroxides. More and more studies have found that ferroptosis is closely related to the onset of CAG. Professor LI Diangui， a master of traditional Chinese medicine， first proposed the turbid toxin theory， which holds that spleen deficiency and turbid toxin is the main pathogenic mechanism of CAG. Abnormal iron metabolism regulation is a prerequisite for the accumulation of turbid toxin in CAG， and ferroptosis is in accordance with the pathogenic mechanism （spleen deficiency and turbid toxin） of CAG. This article explores the pathological mechanism of spleen deficiency and turbid toxin in CAG from the perspectives of iron metabolism， oxidative stress， and lipid peroxidation， providing theoretical support of traditional Chinese medicine for the modern research on CAG. It enriches the modern scientific connotation of the turbid toxicity theory and provides new ideas and breakthrough points for the clinical treatment of CAG.

Chronic atrophic gastritis （CAG）， a common digestive system disease， has an unclear pathogenesis. Currently， it is mostly believed to be related to Helicobacter pylori （Hp） infection， immune factors， dietary factors， bile reflux， long-term use of antibiotics and anti-inflammatory drugs， and other factors. Ferroptosis is a regulated cell death mechanism that is iron-dependent and characterized by disruption of iron metabolism and accumulation of lipid peroxides. More and more studies have found that ferroptosis is closely related to the onset of CAG. Professor LI Diangui， a master of traditional Chinese medicine， first proposed the turbid toxin theory， which holds that spleen deficiency and turbid toxin is the main pathogenic mechanism of CAG. Abnormal iron metabolism regulation is a prerequisite for the accumulation of turbid toxin in CAG， and ferroptosis is in accordance with the pathogenic mechanism （spleen deficiency and turbid toxin） of CAG. This article explores the pathological mechanism of spleen deficiency and turbid toxin in CAG from the perspectives of iron metabolism， oxidative stress， and lipid peroxidation， providing theoretical support of traditional Chinese medicine for the modern research on CAG. It enriches the modern scientific connotation of the turbid toxicity theory and provides new ideas and breakthrough points for the clinical treatment of CAG.

This study investigated a novel coronary knobby scoring balloon through finite element analysis (FEA) and in vitro anti-slippage testing, evaluating its dilation process under various vascular conditions and comparing it with other balloons. The FEA results indicated that in the cases of healthy artery and diseased artery with different stenosis rates, the stress on the vessels caused by the knobby scoring balloon was significantly smaller than that of the scoring balloon, and was close to that of the plain balloon. In vitro anti-slippage testing showed that the slippage distance of a plain balloon was 0.11±0.06 mm, and there was no slippage for knobby scoring balloon under nominal pressure. Knobby scoring balloon can effectively expand calcified lesion while providing anti-slippage function, and has a lower risk of vascular injury.
Finite Element Analysis ; Humans ; Angioplasty, Balloon, Coronary/instrumentation* ; Equipment Design ; Biomechanical Phenomena ; Coronary Vessels

The precise and rapid monitoring of multiple organ dysfunction is crucial in drug discovery. Traditional methods, such as pathological analysis, are often time-consuming and inefficient. Here, we developed a multiplexed near-infrared window two (NIR-II) fluorescent bioimaging method that allows for real-time, rapid, and quantitative assessment of multiple organ dysfunctions. Given that existing probes did not fully meet requirements, we synthesized a range of NIR-II hemicyanine dyes (HDs) with varying absorption and emission wavelengths. By modifying these dyes, we achieved high spatial and temporal resolution imaging of the liver, kidneys, stomach, and intestines. This method was further applied to investigate disorders induced by cisplatin, a drug known to cause gastric emptying issues along with liver and kidney injuries. By monitoring the metabolic rate of the dyes in these organs, we accurately quantified multi-organ dysfunction, which was also confirmed by gold-standard pathological analysis. Additionally, we evaluated the effects of five aristolochic acids (AAs) on multiple organ dysfunction. For the first time, we identified that AA-I and AA-II could cause gastric emptying disorders, which was further validated through transcriptomics analysis. Our study introduces a novel approach for the simultaneous monitoring of multi-organ dysfunction, which may significantly enhance the evaluation of drug side effects.

Computational analysis can accurately detect drug-gene interactions (DGIs) cost-effectively. However, transductive learning models are the hotspot to reveal the promising performance for unknown DGIs (both drugs and genes are present in the training model), without special attention to the unseen DGIs (both drugs and genes are absent in the training model). In view of this, this study, for the first time, proposed an inductive learning-based model for the precise identification of unseen DGIs. In our study, by integrating disease nodes to avoid data sparsity, a multi-relational drug-disease-gene (DDG) graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions. Following the extraction of graph features by utilizing graph embedding algorithms, our next step was the retrieval of the attributes of individual gene and drug nodes. In this way, a hybrid feature characterization was represented by integrating graph features and node attributes. Machine learning (ML) models were built, enabling the fulfillment of transductive predictions of unknown DGIs. To realize inductive learning, this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights, enabling inductive predictions for the unseen DGIs. Consequently, the final model was superior to existing models, with significant improvement in predicting both external unknown and unseen DGIs. The practical feasibility of our model was further confirmed through case study and molecular docking. In summary, this study establishes an efficient data-driven approach through the proposed modeling, suggesting its value as a promising tool for accelerating drug discovery and repurposing.

Objective To study expression and prognostic value of Shugoshin-1(SGOL1)in lung adenocarcinoma by bioinformatics method.Methods Expression profile data and clinical data of lung adenocarcinoma and normal tissues were downloaded from The Cancer Genome Atlas database,and expression difference and clinical correlation analysis of SGOL1 were performed.R package"pROC"was used to plot receiver operator characteristic(ROC)curves to evaluate accuracy of SGOL1 expression in predicting clinical diagnosis in lung adenocarcinoma patients.Effects of SGOL1 expression on prognosis of lung adenocarcinoma patients were evaluated by R package"survival","survminer"and univariate and multivariate Cox regression analysis.By searching Tumor Immune Single-Cell Hub and TIMER2.0 databases,expression distribution of SGOL1 in lung adenocarcinoma and its relationship with immune cell infiltration were analyzed,functional enrichment analysis of SGOL1 and its co-expression was performed by using LinkedOmics database.Search tool for the retrieval of interaction gene/proteins was used to construct a protein-protein interaction network for SGOL1.Results Compared with normal tissues,expression level of SGOL1 in tumor tissues was significantly upregulated(P<0.001).Compared with paracancer tissues,expression level of SGOL1 in tumor tissues was significantly upregulated(P<0.001).In different clinical and pathological stages of lung adenocarcinoma,compared with stage Ⅰ,expression levels of SGOL1 in stages Ⅱ,Ⅲ and Ⅳ were significantly higher(P<0.05).ROC curve showed that SGOL1 had a good diagnostic efficiency in lung adenocarcinom patients,with area under the curve of 0.959(95%CI:0.942-0.975).Overall survival,disease specific survival,disease-free survival and progression free interval of high expression group of SGOL1 were significantly shorter than those of low expression group of SGOL1(P<0.05).Univariate and multivariate Cox regression analysis showed that clinical stage(HR=1.629,P<0.001)and SGOL1 expression level(HR=1.447,P=0.002)were associated with poor prognosis in lung adenocarcinoma patients.It can be used as an independent risk factor for the prognosis of lung adenocarcinoma patients.Expression level of SGOL1 was negatively correlated with infiltration level of B cells,CD4+T cells and dendritic cells(P<0.05).Expression level of SGOL1 was positively correlated with infiltration level of macrophages,CD8+T cells and neutrophils(P<0.05).Enrichment analysis showed that SGOL1 may play role in mitosis,cell cycle,p53 signaling pathway and amino acid metabolism pathways.Analysis of protein-protein interaction network suggests that SGOL1 was closely related to multiple molecules such as CBX1,PPP2CA,PPP2R5C,CDCA8,ESPL1,PPP2R1A,BUB1,PPP2R5A,SGO2,CDC20,etc.Conclusion SGOL1 is highly expressed in lung adenocarcinoma tissues,and it is associated with poorer prognosis in lung adenocarcinoma patients.SGOL1 can be used as one of prognostic biomarkers for lung adenocarcinoma patients.

Objective:To explore the causes of self-management dilemma in young and middle-aged patients with recurrent acute pancreatitis from the perspectives of nurses, patients and patient caregivers, in order to provide reference for developing self-management intervention plans that meet the needs of patients.Methods:Using the descriptive phenomenological methods from qualitative research, 15 patients with recurrent acute pancreatitis, six nurses and nine caregivers from the Hepatobiliary Pancreatic Surgery Ward of the Second Norman Bethune Hospital of Jilin University from November 2021 to December 2022 were selected for semi-structured in-depth interviews. The Colaizzi 7-step method was used to analyze and refine the theme.Results:Two main themes were extracted to explain the difficulties in self-management of young and middle-aged patients with recurrent acute pancreatitis. The internal reasons for the self-management dilemma included cognitive biases in the importance of self-management, limited access to self-management knowledge and negative attitudes towards self-behavior management, and the external reasons for self-management dilemma included insufficient inclusiveness of the external environment towards diseases, fear of disease progression, multiple burdens caused by diseases and busy work.Conclusions:Young and middle-aged patients with recurrent acute pancreatitis experience multiple difficulties in the process of self-management. Clinical medical staff should explore self-management models with contemporary characteristics, enhance patient self-management ability and quality of life, reduce disease recurrence rate.

Objective:To explore the white matter structural characteristics in patients with bipolar disorder(BD)using diffusion tensor imaging(DTI)and investigate their relationship with cognitive function.Methods:A total of 15 patients with BD type Ⅰ and 26 patients with BD type Ⅱ who met the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)diagnostic criteria and 37 normal controls were included.Cognitive function was assessed with the Trail Making Test(TMT)and Repeatable Battery for the Assessment of Neuropsy-chological Status(RBANS).The tract-based spatial statistics(TBSS)method was used to explore the differences in fractional anisotropy(FA)and mean diffusivity(MD)among the three groups and perform correlation analyses with cognitive function.Results:Patients with BD Ⅰ and BD Ⅱ had lower scores in attention(P＜0.001),delayed memory(P＜0.01),and total scores(P＜0.001)on the RBANS compared to the normal control group.They also exhibited lower FA values in the corpus callosum and right superior corona radiata compared to the normal control group(P＜0.05).In the BD Ⅰ group,there was a positive correlation between FA values in the genu of corpus cal-losum and visuospatial/constructional scores(r=0.74,P＜0.05),while in the BD Ⅱ group,a positive correlation was found between FA values in the same region and language function scores(r=0.55,P＜0.05).Conclusion:It suggests that patients with bipolar disorder may have impaired white matter integrity in the corpus callosum and right superior corona radiata,which may be associated with cognitive impairment.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

ABSTRCT Purpose To explore the evolution of HER2 nega-tive subgroups(IHC Null,Ultra-low and 1+)in breast cancer with hormone receptor(HR)positive before and after neoadju-vant therapy,and the relationship with clinical pathological fea-tures.Methods There were 255 patients who did not achieve pathological complete response(pCR)consecutively after neoad-juvant therapy.Immunohistochemistry was used to detect the ex-pression of ER,PR,HER2 and Ki67 and to evaluate the evolu-tion of HER2-negative subgroups after neoadjuvant therapy and its relationship with clinicopathological characteristics.Results Among the 255 patients included in this study,HER2 expression was 0 and 1+in 116 cases(45.5％)and 139 cases(54.7％)respectively before neoadjuvant therapy,and then HER2 0 was further divided into Null group(61 cases,23.9％)and Ultra-low group(55 cases,21.6％).After neoadjuvant therapy,HER2 expression was 0 and 1+in 117 cases(45.9％)and 138 cases(54.1％)respectively,and then HER2 0 was further di-vided into Null group(64 cases,25.1％)and Ultra-low group(53 cases,20.8％).HER2 status changed in 121 patients(47.5％)after neoadjuvant therapy.The highest conversion rate was from HER2 Ultra-low before neoadjuvant therapy to 1+after neoadjuvant therapy,with a conversion rate of 11.76％(30/255),followed by HER2 1+to the Ultra-low,with a conversion rate of 10.98％(28/255).After the neoadjuvant therapy,44 of 55 cases had transformation in the HER2 Ultra-low group,with the conversion rate of as high as 80％.Chi-square test showed that HER2 expression before neoadjuvant therapy was correlated with the maximum tumor diameter(≤2 cm,＞2cm)after neo-adjuvant therapy(x2=6.106,P=0.047);the tumor of HER21+before neoadjuvant therapy was mostly 2 cm or less in the di-ameter.The HER2 status after neoadjuvant therapy was correla-ted with the tumor thrombus(x2=6.975,P=0.029).Patients with HER2 Ultra-low after treatment were more likely to have vascular invasion.Conclusion In HR positive breast cancer,when the HER2 0 cases are divided into Ultra-low and Null sub-groups,the HER2 conversion rate increases significantly after neoadjuvant therapy,in which the Ultra-low conversion rate is the highest,indicating that the HER2 Ultra-low cases are highly unstable after neoadjuvant therapy.It is important to detect HER2 expression in residual lesions after neoadjuvant therapy and to identify the Ultra-low HER2 expression subgroup.