OBJECTIVES: To investigate the effect of Scleromitrion diffusum on gastric mucosal epithelial-mesenchymal transition (EMT) in rats with gastric precancerous lesion. METHODS: Fifty SD rats were randomly divided into blank control group (n=11), model control group (n=13), Scleromitrion diffusum (SD) group (n=13) and vitase group (n=13). Gastric precancerous lesion animal model was prepared by 1-methyl-3-nitro-1-nitrosoguanidine complex polyfactor method, and the drugs were administrated by gavage once a day for 6 weeks. The pathological changes of gastric mucosa were observed with hematoxylin and eosin staining, the expression of EMT marker proteins were detected with immunohistochemical staining and Western blotting. RESULTS: Compared with the model control group, the gastric mucosal injury was significantly attenuated in the Scleromitrion diffusum group, the mucosal tissue structure gradually recovered, the saccular expansion area was reduced, and the inflammatory infiltration was ameliorated. The expression of epithelial cadherin was higher, and the expression of neural cadherin and vimentin in the Scleromitrion diffusum group were lower than those of model control group (all P<0.05). CONCLUSIONS Scleromitrion diffusum can ameliorate gastric mucosal injury in rats with gastric precancerous lesion by reversing the EMT.
Animals ; Rats ; Rats, Sprague-Dawley ; Epithelial-Mesenchymal Transition/drug effects* ; Precancerous Conditions/metabolism* ; Gastric Mucosa/metabolism* ; Stomach Neoplasms/drug therapy* ; Male ; Cadherins/metabolism*

Immune checkpoint inhibitors （ICIs） can activate anti-tumour-related immunity in the treatment of malignant tumours， but at the same time， they can also cause non-specific immune activation， leading to the occurrence of immune-related adverse reactions （irAEs）. It is believed that under physiological conditions， ICIs can be classified as tonic agents in traditional Chinese medicine， exerting the effect of warming yang and benefiting qi， but when the immune response become over-excited， ICIs evolve into pathogen of exuberant fire， which is destructive to the body. Combining the different periods of immunotherapy and the degree of symptoms， irAEs are divided into two phases： symptom onset phase （exuberant fire consuming qi and essence） and intermittent phase （latent fire dispersing healthy qi in critical condition）， in which yang movement is excess fire leading to toxicity of the skin and oral mucous membranes， qi constraint transforming into fire leading to toxicity of gastrointestinal tract， qi block generating fire leading to cardiotoxicity， and qi and yin deficiencies leading to fire manifesting as ICIs-related diabetes. The general principle of “simultaneous treatment of qi and fire” is proposed to guide the treatment of irAEs. During the onset phase， draining fire， directing qi downward， and dispelling drug toxicity are used to remove excess fire； raising yang， dispersing fire， and dispelling drug toxicity are used to disperse fire constraint； promoting the flow of yang and qi and dispelling drug toxicity are used to close fire and smoothen the flow； cultivating qi， clearing fire， and dispelling drug toxicity are used to disperse the deficiency fire， so as to achieve the goal of clearing exuberant fire， eliminating drug toxicity， and alleviating acute symptoms. During the intermittent phase， the aim is to generate fire slightly to warm yang qi， block latent fire， and prevent recurrence， and ultimately restore the balance of qi and yang in human physiology to prevent and treat irAEs and improve the quality of life of patients.

ObjectiveTo evaluate the effect and safety of Jiuxin Pill （救心丸） on exercise tolerance and quality of life in patients with stable angina pectoris （SAP）. MethodsA randomised， double-blind， placebo-controlled， multicentre study design was used to enroll 170 patients of SAP from nine centres， which were divided into 85 patients each in the trial group and control group with 1∶1 ratio. Both groups maintained the original western medicine treatment plan， and added Jiuxin Pill or placebo respectively， 2 pills （0.05 g） each time twicely for 28 days. The main outcomes were total exercise time （TED） in the exercise treadmill test and Seattle Angina Questionnaire （SAQ） scores including physical limitation （PL）， angina stability （AS）， angina frequency （AF）， treatment satisfaction （TS）， and disease perception （DP）. The secondary outcomes were exercise treadmill test indicators including heart rate recovery in 1 min （HRR1）， metabolic equivalents （METs）， maximum magnitude of ST-segment depression， and the Borg rating of perceived exertion scale， the average number of angina attacks per week， withdrawal and reduction rate of nitroglycerin， traditional Chinese medicine syndrome scores， incidence of major adverse cardiovascular events. Safety indicators were evaluated and the occurrence of adverse events during the trial was recorded. Data was collected before treatment， day 28±2 in treatment period， and follow-up at day 56 which is 28±2 days after treatment period finished. ResultsEighty-four and eighty-five patients respectively from trial group and control group were included to the full analysis set （FAS） and safety analysis set （SS）. Compared with the group before treatment and with the control group after treatment， the trial group had higher TED， HRR1， and METs， and lower maximum magnitude of ST-segment depression and Borg rating of perceived exertion scores after treatment （P＜0.01）. Compared with the group before treatment and with the control group after treatment and at follow-up， the total SAQ score and scores of AS， AF， TS and DP of the trial group after treatment and at follow-up elevated， while the average number of angina attacks per week and traditional Chinese medicine syndrome scores reduced （P＜0.01）. There was no statistically significant difference in the withdrawal and reduction rate of nitroglycerin between groups （P＞0.05）. Major adverse cardiovascular events occurred in 1 case （1/84， 1.19%） in the trial group and 1 case （1/85， 1.18%） in the control group， and the difference between groups was not statistically significant （P＞0.05）. A total of 3 cases of adverse events occurred in the trial group （3/84， 3.57%）， and a total of 6 cases of adverse events occurred in the control group （6/85， 7.06%）， and there was no statistically significant difference in the incidence of adverse events between groups （P＞0.05）. ConclusionIn the treatment of SAP， Jiuxin Pill combined with conventional western medicine can further enhance exercise tolerance， improve quality of life， and demonstrate great safety.

Objective:To explore the association between insulin resistance (IR) and genome-wide DNA methylation based on Shanghai twin study.Methods:Monozygotic twins (MZ) from Shanghai were recruited during 2012-2013, 2017-2018, and 2022-2023. Data were collected by questionnaire survey, physical examination and laboratory tests. Genome-wide DNA methylation was quantified. Generalized linear mixed effect model was applied to analyze the association between methylation level at each site and homeostatic model assessment 2-insulin resistance (HOMA2-IR). Non-paired and paired designs were used to assess the association between DNA methylation and phenotype of IR. Cluster analysis was conducted to identify the clusters of top significant sites. Generalized linear regression was performed to examine the differential methylation patterns from clusters.Results:A total of 100 MZ pairs were included in this study. Hypermethylated cg10535199-2q23.1 ( β=0.74%, P=1.51×10 -7, OR=1.06, 95% CI: 1.03-1.09) and ch.17.49619327- SPOP ( β=0.23%, P=7.54×10 -7, OR=1.17, 95% CI: 1.08-1.28) were identified with suggestive significance. After correcting for multiple testing, no sites reached genome-wide significance. There was no statistical significance in the paired analysis. Two clusters with hypomethylated ( β=-0.39%, P<0.001) and hypermethylated ( β=0.47%, P<0.001) patterns were observed for HOMA2-IR. Conclusions:IR was significantly associated with DNA methylation, and genetic factors might contribute to the association.

We report a case of a male patient who developed persistent fever and central nervous system symptoms after eating raw snails for 10 days. The patient was diagnosed with Angiostrongyliasis depended on the clinical presentation, epidemiological history, and etiological results. The patient recovered after receiving albendazole anthelmintic and dexamethasone anti-inflammatory therapy. This article incorporates literature review to sort out the diagnosis and treatment of this patient, in order to provide feasible reference for clinicians.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.