OBJECTIVE To investigate the potential mechanism of epigallocatechin gallate （EGCG） enhancing the sensitivity of hepatocellular carcinoma （HCC） cells to lenvatinib based on the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. METHODS Five human HCC cell lines （HepG2， Huh-7， SMMC-7721， SNU-368 and SNU-739） were used to evaluate the effects of lenvatinib alone and in combination with EGCG on survival rates， clone number， proliferation rate， invasion number and the expressions of mRNAs and proteins related to the PI3K/Akt signaling pathway. The PI3K activator insulin-like growth factor-1 （IGF-1） was introduced to investigate the effect of activating the PI3K/Akt signaling pathway on the sensitization effect of EGCG. RESULTS Compared with the control group， lenvatinib （10 μmol/L） and different concentrations of EGCG+ lenvatinib （1， 5 and 10 μg/mL EGCG+10 μmol/L lenvatinib） significantly reduced the survival rates and clone numbers of all five HCC cell lines in a dose-dependent manner （P＜0.05）. Lenvatinib （10 μmol/L） and EGCG+lenvatinib （10 μg/mL EGCG+10 μmol/L lenvatinib） also markedly inhibited the proliferation rate and invasion numbers of these cells， and decreased the mRNA expressions of PI3K， Akt， mammalian target of rapamycin （mTOR）， P70S6K and 4EBP， and the phosphorylation levels of PI3K and Akt， as well as the protein expressions of mTOR and B cell lymphoma-2 （Bcl-2） in HepG2 cells or all five HCC cells； conversely， the mRNA and protein expressions of phosphatase and tensin homologue deleted on chromosome 10（PTEN）， and the protein expressions of caspase-3 and cleaved caspase-3 were significantly upregulated， with more pronounced effects observed in the EGCG+lenvatinib group than in the lenvatinib group （P＜0.05）. Compared with the lenvatinib group and the EGCG+lenvatinib group， the clone number， proliferation rate and invasion number of HepG2 cells in the EGCG+lenvatinib+IGF-1 group （10 μg/mL EGCG+10 μmol/L lenvatinib+50 ng/mL IGF-1） were significantly increased （P＜0.05）. CONCLUSIONS EGCG can enhance the sensitivity of HCC cells to lenvatinib， and its underlying mechanism may be related to the inhibition of the activation of PI3K/Akt signaling pathway activation.

Cardiovascular disease remains the leading cause of death in China, with its morbidity and mortality continue to rise. Ferroptosis, a unique form of iron-dependent cell death, plays a major role in many heart diseases. The classical mechanisms of ferroptosis include iron metabolism disorder, oxidative antioxidant imbalance and lipid peroxidation. Recent studies have found many additional mechanisms of ferroptosis, such as coenzyme Q10, ferritinophagy, lipid autophagy, mitochondrial metabolism disorder, and the regulation by nuclear factor erythroid 2-related factor 2 (NRF2). This article reviews recent advances in understanding the mechanisms of ferroptosis and its role in heart failure, myocardial ischemia/reperfusion injury, diabetic cardiomyopathy, myocardial toxicity of doxorubicin, septic cardiomyopathy, and arrhythmia. Furthermore, we discuss the potential of ferroptosis inhibitors/inducers as therapeutic targets for heart diseases, suggesting that ferroptosis may be an important intervention target of heart diseases.
Ferroptosis/physiology* ; Humans ; Heart Diseases/physiopathology* ; NF-E2-Related Factor 2/physiology* ; Animals ; Myocardial Reperfusion Injury/physiopathology* ; Lipid Peroxidation ; Heart Failure/physiopathology* ; Iron/metabolism* ; Diabetic Cardiomyopathies/physiopathology* ; Ubiquinone/analogs & derivatives*

Gardeniae Fructus, a traditional Chinese medicine, has significant pharmacological activities such as clearing heat and detoxifying, promoting bile secretion and protecting liver injury. It is widely used in clinical practice for treating conditions like fever-induced restlessness, damp-heat jaundice, dysuria with pain, and fire-toxin sores. Gardeniae Fructus has been included in "list of items that are both food and medicine", so it is also used as an ingredient in food and health products. However, recent toxicological studies have shown that Gardeniae Fructus has certain potential hepatotoxicity, and its improper use may pose a risk. Therefore, it is necessary to clarify the dual regulatory effects and their scientific connotations of Gardeniae Fructus on efficacy and toxicity. Based on the current progress in clinical, pharmacological and toxicological researches, this paper will discuss the characteristics and possible mechanisms of the dual effects of efficacy and toxicity of Gardeniae Fructus, and propose thoughts on the rational clinical use and scientific supervision of Gardeniae Fructus.
Animals ; Humans ; Drugs, Chinese Herbal/pharmacology* ; Fruit/chemistry* ; Gardenia/chemistry* ; Medicine, Chinese Traditional ; Liver/drug effects*

OBJECTIVE: To investigate the effect of Arsenic trioxide (ATO) combined with Norcantharidin (NCTD) on the proliferation and apoptosis of Jurkat cells, and to evaluate its effect on the proliferation and apoptosis of acute T-lymphoblastic leukemia (T-ALL) based on the Wnt/β-catenin signaling pathway. METHODS: Jurkat cell lines were used as the study subjects and treated with different concentrations of ATO (0, 2, 4, 8, 16 μmol/L) and NCTD (0, 10, 25, 50, 100 μmol/L) for 72 hours, and the cell proliferation was detected by CCK-8. Meanwhile, flow cytometry was used to detect the apoptosis rate, EdU staining to detect cell proliferation viability, cell clone formation assay to assess cell cloning ability, Transwell assay to assess cell invasion ability, and Western blot to detect apoptosis and the expression of Wnt/β-catenin signaling pathway-related proteins. RESULTS: Compared with the control group, both ATO and NCTD effectively inhibited Jurkat cell proliferation when used alone, and the inhibition effect was more significant when used in combination ( P < 0.05). The combination significantly increased the apoptosis rate of Jurkat cells ( P < 0.05). Meanwhile, the combination significantly decreased the proliferation vitality and clone formation ability of the cells ( P < 0.05), and inhibited the invasion ability of Jurkat cells ( P < 0.05). Western blot analysis showed that the combination of ATO and NCTD significantly up-regulated the expression of pro-apoptotic proteins Bax and E-cadherin, and down-regulated the expression of anti-apoptotic proteins Bcl-2, c-myc and Cyclin D1 ( P < 0.05). CONCLUSION The combination of ATO and NCTD had a synergistic effect in inhibiting proliferation and promoting apoptosis in Jurkat cells, which may be related to the inhibition of Wnt/β-catenin signaling pathway.
Humans ; Apoptosis/drug effects* ; Jurkat Cells ; Cell Proliferation/drug effects* ; Arsenic Trioxide ; Wnt Signaling Pathway/drug effects* ; Bridged Bicyclo Compounds, Heterocyclic/pharmacology* ; beta Catenin/metabolism* ; Arsenicals/pharmacology* ; Oxides/pharmacology*

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

Objective To explore the regulatory mechanism of Macelignan on oxidative stress-mediated neuronal injury in autophagy and apoptosis.Methods Murine hippocampal neuronal HT22 cells were treated with 2.5 mmol·L-1 glutamic acid(Glu)to establish an oxidative stress cell model.The cells were divided into normal group(normal cultured cells),model group(2.5 mmol·L-1 Glu)and experimental-L,-M,-H groups(2.5,5,10 μmol·L-1Macelignan treatment),inhibitor group(2.5 mmol·L-1 Glu+10 μmol·L-1 Macelignan+10 μmol·L-1 LY294002).Aoptosis rate was detected by flow cytometry;the protein expression level of autophagy-related protein LC3B(LC3B),anti-SQSTM1/p62(p62),p21,B-cell lymphoma-2(Bcl-2)and Bcl-2 associated X protein(Bax)was detected by Western blot.Results The apoptosis rates in the normal group,model group and experimental-L,-M,-H groups were(4.58±1.25)％,(8.75±0.55)％,(6.30±1.71)％,(5.97±2.27)％and(5.49±1.71)％.The difference between model group and normal group was statistically significant(P＜0.01).The difference between experimental-L,-M,-H groups and model group was statistically significant(all P＜0.01).The levels of LC3B in normal group,model group,experimental-L,experimental-M,experimental-H groups and inhibitor group were 0.28±0.02,0.74±0.02,1.02±0.04,0.70±0.03,0.26±0.02 and 0.21±0.01;p62 levels were 0.49±0.08,0.33±0.03,0.50±0.07,0.59±0.01,0.64±0.13 and 0.65±0.06;p21 levels were 0.87±0.02,1.18±0.03,0.98±0.03,0.88±0.03,0.72±0.06 and 0.81±0.02;Bcl-2/Bax levels were 1.74±0.23,1.11±0.10,1.38±0.05,1.66±0.26,1.58±0.29 and 1.53±0.09,respectively.The differences between model group and normal group,between model group and experimental-H group,between model group and inhibitor group,were also statistically significant(all P＜0.01).Conclusion Macelignan can reduce the damage of hippocampal neurons induced by glutamate acid by regulating the process of autophagy and apoptosis,and has obvious neuroprotective effect.

This study aimed to explore the relationship between comorbidity factors and in-hospital mortality related to factors in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) pneumonia. This study collected clinical data from 218 patients with CRKP pneumonia in Beijing hospital from November 2011 to December 2023, analyzed the number of comorbidities carried by CRKP pneumonia patients, comorbidity patterns, Charlson Comorbidity Index (CCI) scores, and comorbidity of underlying diseases, and explored the relationship between various indicators and comorbidity factors and in-hospital mortality in CRKP pneumonia patients. The Ward.D cluster analysis was performed on the comorbidities of patients and used to draw heatmaps. Using a multiple logistic regression model, a nomogram model was constructed to predict in-hospital mortality in patients with CRKP pneumonia. This study included 218 patients with CRKP pneumonia. The results showed that there were significant differences in the age ( P=0.003), comorbidities such as heart failure ( P<0.001), arrhythmia ( P=0.002), chronic liver disease ( P=0.003), chronic kidney disease ( P=0.002), CCI score ( P=0.007), total number of comorbidities ( P<0.001), and comorbidity patterns (respiratory/immune/psychiatric disease patterns and cardiovascular/tumor/metabolic disease patterns, P=0.003) between the survival and death groups of CRKP pneumonia patients. The multiple logistic regression showed that cardiovascular/tumor/metabolic disease patterns ( P=0.030), CCI score ( P=0.040), concomitant heart failure ( P=0.011), and concomitant arrhythmia ( P=0.025) were independent risk factors for in-hospital mortality in patients with CRKP pneumonia. The nomogram model for predicting the risk of in-hospital mortality in patients with CRKP pneumonia, constructed based on the identified risk factors, had an area under the ROC curve of 0.758. Both the ROC curve and validation curve indicated that the nomogram model had stable performance in predicting in-hospital mortality in patients with CRKP pneumonia. In summary, comorbidity factors are risk factors for predicting in-hospital mortality in patients with CRKP pneumonia, and the role of comorbidity factors in in-hospital mortality in patients with CRKP pneumonia should be taken seriously.

This study aimed to explore the relationship between comorbidity factors and in-hospital mortality related to factors in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) pneumonia. This study collected clinical data from 218 patients with CRKP pneumonia in Beijing hospital from November 2011 to December 2023, analyzed the number of comorbidities carried by CRKP pneumonia patients, comorbidity patterns, Charlson Comorbidity Index (CCI) scores, and comorbidity of underlying diseases, and explored the relationship between various indicators and comorbidity factors and in-hospital mortality in CRKP pneumonia patients. The Ward.D cluster analysis was performed on the comorbidities of patients and used to draw heatmaps. Using a multiple logistic regression model, a nomogram model was constructed to predict in-hospital mortality in patients with CRKP pneumonia. This study included 218 patients with CRKP pneumonia. The results showed that there were significant differences in the age ( P=0.003), comorbidities such as heart failure ( P<0.001), arrhythmia ( P=0.002), chronic liver disease ( P=0.003), chronic kidney disease ( P=0.002), CCI score ( P=0.007), total number of comorbidities ( P<0.001), and comorbidity patterns (respiratory/immune/psychiatric disease patterns and cardiovascular/tumor/metabolic disease patterns, P=0.003) between the survival and death groups of CRKP pneumonia patients. The multiple logistic regression showed that cardiovascular/tumor/metabolic disease patterns ( P=0.030), CCI score ( P=0.040), concomitant heart failure ( P=0.011), and concomitant arrhythmia ( P=0.025) were independent risk factors for in-hospital mortality in patients with CRKP pneumonia. The nomogram model for predicting the risk of in-hospital mortality in patients with CRKP pneumonia, constructed based on the identified risk factors, had an area under the ROC curve of 0.758. Both the ROC curve and validation curve indicated that the nomogram model had stable performance in predicting in-hospital mortality in patients with CRKP pneumonia. In summary, comorbidity factors are risk factors for predicting in-hospital mortality in patients with CRKP pneumonia, and the role of comorbidity factors in in-hospital mortality in patients with CRKP pneumonia should be taken seriously.

Objective:To investigate the effects of the "TECK" (theoretical class, experimental course, case discussion, and knowledge reinforcement) teaching model oriented by post competency in clinical pathology internship teaching.Methods:The intern students from 2015 to 2019 in the pathology direction of clinical medicine in the School of Pathology, Qiqihar Medical College, who were enrolled in the internship from 2019 to 2023, were selected as the research objects.We enrolled 32 medical students from grades 2017, 2018, and 2019 (research group) and 24 medical students from grades 2015 and 2016 (control group) who would participate in pathology internships. The control group adopted the traditional internship mode, while the research group adopted the competency-oriented "TECK" teaching mode. After the internship, the two groups were compared for internship assessment score and surveyed for post competency. With the use of SPSS 18.0 statistical software. Continuous data were presented as (mean±standard deviation) and t-test was used for comparison between groups. Count data were expressed in the number of cases, and chi-square test was used for comparison between groups.The significance level α was 0.05. Results:The research group showed significantly higher scores of skill assessment (82.81±4.20 vs. 79.58±5.09) and pathological diagnosis assessment (80.28±4.23 vs. 76.21±4.58) than the control group (both P<0.05), with no significant difference in the score of theoretical knowledge ( P>0.05). In terms of post competency, the research group was superior to the control group in clinical skills and medical care ability (12.38±0.94 vs. 11.35±0.76), disease prevention and health promotion ability (6.28±0.92 vs. 4.48±0.93), interpersonal communication and information management ability (19.81±1.09 vs. 17.00±1.28), and teamwork and scientific research ability (11.44±1.27 vs. 9.25±0.87; all P<0.05). There were no significant differences between the two groups in core values and professional literacy and medical knowledge and lifelong learning (both P>0.05). Conclusions:In undergraduate internships, the competency-oriented "TECK"teaching mode can significantly improve students' clinical operation and pathological diagnosis ability, and effectively cultivate their abilities of clinical skills and medical care, disease prevention and health promotion, interpersonal communication and information management, teamwork and scientific research.

Objective To introduces drug treatment and individualized pharmaceutical care for a patient with dilated cardiomyopathy digoxin poisoning and provides ideas for pharmaceutical care.Methods The pharmacist used therapeutic drug management to analyze the course of drug treatment before and after hospitalization,combined with therapeutic drug monitoring and drug-gene detection,to analyze the causes of poisoning in digoxin from the perspectives of underlying diseases,polymor-phism,drug dosage,combination of drugs,physiological and other pathological factors,and to assist in clinical drug reformula-tion and optimization of drug treatment regimens.Results The clinician accepted the clinical pharmacist's suggestion.The pa-tient had a good prognosis,and digoxin poisoning did not occur in the later period.Conclusion This case provides a feasible treatment for dilated cardiomyopathy and other patients with digoxin intoxication;it can be used as a reference for the prevention and treatment of digoxin poisoning and provide a new direction for the development of hospital pharmaceutical care and pharma-ceutical professionals.