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 investigate the long-term therapeutic effects and safety of renal denervation (RDN) on hypertensive patients with different cardiovascular risks, as well as its impact on adverse events, cardiovascular death and all-cause mortality.Methods:This was a single-center, single-arm, real-world retrospective study. Patients with refractory hypertension who underwent RDN at Tianjin First Central Hospital from July 6, 2011 to December 23, 2015 were enrolled and divided into either a high or intermediate-low risk group based on baseline cardiovascular risk. The treatment responsiveness of hypertensive patients with different cardiovascular stratification to RDN was assessed by comparing the results of office blood pressure, home blood pressure, and 24-h ambulatory blood pressure monitoring at 1, 5, and 11 years after RDN. Long-term safety of RDN was assessed by creatinine, and estimated glomerular filtration rate (eGFR) at 1 and 11 years after RDN. In addition, the total defined daily dose (DDD) of antihypertensive medications and the incidence of long-term adverse events, cardiovascular deaths, and all-cause deaths after RDN were followed up 11 years after RDN in person or by telephone.Results:A total of 62 patients with refractory hypertension, aged (50.2±15.0) years, of whom 35 (56.5%) were male, were included. There were 35 cases in high-risk group and 27 cases in low and medium risk group. The decrease in clinic systolic blood pressure (high risk vs. low-medium risk: (-38.0±15.1) mmHg vs. (-25.0±16.6) mmHg(1 mmHg=0.133kPa), P=0.002), home self-measured systolic blood pressure ((-28.4±12.7) mmHg vs. (-19.7±13.1) mmHg, P=0.011) and clinic systolic blood pressure 11 years after RDN ((-43.0±18.4) mmHg vs. (-27.8±17.9) mmHg, P=0.003) in the high-risk group was significantly higher than that in the low-medium risk group. The differences in heart rate and the decrease in total DDD number of antihypertensive drugs between the two groups were not statistically significant (all P>0.05). Creatinine and eGFR levels in the two groups at 1 and 11 years after RDN were not statistically significant when compared with the baseline values (all P>0.05). The cumulative cardiovascular mortality rate was 1.6% (1/62) and 8.1% (5/62), and the cumulative all-cause mortality rate was 3.2% (2/62) and 11.3% (7/62) at 5 and 11 years after RDN, respectively. The differences in the incidence rate of adverse events, cardiovascular mortality, and all-cause mortality rate between the two groups were not statistically significant (all P>0.05). Conclusions:RDN has long-term antihypertensive effect and good safety. Hypertensive patients who belong to the high-risk stratification of cardiovascular risk may respond better to RDN treatment.

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.

Objective To apply ultrasound to monitor cardiac function changes after anthracycline exposure in children with acute leukemia,in order to obtain the indicators of early changes in their cardiac function.Methods Children with acute leukemia from 2018 March to December 2020 in the Children's Hospital of Kunming Medical University were enrolled according to the inclusion and exclusion criteria,their routine cardiac ultrasound and tissue Doppler condition were recorded,and the changes in systolic function were evaluated by Tei index including TeiS,TeiRL,TeiM and TeiT.Results The mean values of LVEF in the normal and the experimental group were both above 60%.FS,SV,and EDV were all in the normal range.While common indicant,the index of TDI or Tei was not statistically significant(P>0.05).The levels of TeiM,TeiRL and TieT in the groups that received a total dose of 200 mg/m2 anthracyclines and 250 mg/m2 were significantly different from that before treatment(P<0.05).Conclusion Tei index can be utilized as a sensitive indicator for early changes in left and right heart function after children with acute leukemia are exposed to anthracyclines.

Compared to the general population, there is a higher prevalence of epilepsy in individuals with cerebral palsy (CP). Epilepsy serves as an indicator of CP severity and has a significant impact on the early survival and future quality of life of children with CP. Therefore, it is crucial to investigate the shared mechanisms underlying CP and epilepsy. This study aims to summarize the comorbidity of CP and epilepsy from genetic factors, risk factors, and pathophysiological mechanisms, in order to provide a reference for further research.

Objective To establish a nomogram prediction model of hyperuricemia(HUA)onset risk in overweight and obese children and adolescents in order to provide reference for the prevention and treatment of HUA in this population.Methods The clinical data of 1 410 overweight and obese children and adolescents aged 6-17 years old visiting in this hospital from September 2021 to August 2022 were retrospectively analyzed.A total of 987 overweight and obese children and adolescents were randomly extracted according to a ratio of 7:3 to establish the model,and the remaining 423 cases were validated internally.Referring to the definition of high uric acid in"Zhu-futang Practical Pediatrics",the subjects were divided into high uric acid group and non-high uric acid group.The logis-tic regression analysis was used to analyze the influencing factors of HUA in overweight and obese children and adoles-cents.The nomogram model was constructed by using the R language.The area under the receiver operating character-istic(ROC)curve(AUC),decision analysis curve(DIC),clinical impact curve(CIC)and C-index were used to evalu-ate the predictive ability of the model,and the Bootstrap repeated sampling method(taking samples for 1000 times)was used for internal validation of the model.Results The results of multivariate analysis showed that the age(OR=2.324,95％CI:1.155-4.672,P=0.018),gender(OR=0.456,95％CI:0.256-0.810,P=0.007),triglycerides(OR=3.775,95％CI:2.321-6.138,P＜0.001),blood calcium(OR=26.986,95％CI:3.186-228.589,P=0.003)and blood creatinine(OR=1.047,95％CI:1.026-1.070,P＜0.001)were the influen-cing factors of HUA in overweight and obese children and adolescents.AUC of the ROC curve of the model was 0.840,the sensitivity was 0.786,the specificity was 0.762,the Youden index was 0.548,and the C-index was 0.840.The risk probability of DC A was 0.1-0.8,the net benefit rate of both models was＞0,AUC of ROC curve in the internal verification was 0.871.Conclusion The constructed nomogram in this study has a good predictive efficiency for the onset risk of HUA in overweight and obese children and adolescents,and may provide reference for the early diagnosis and treatment of this population.