1.Mechanisms of Sini San in Regulation of Gut Microbiota Against Depression and Liver Injury in CUMS Rats
Junling LI ; Yan ZHANG ; Lei WANG ; Fang QI ; Zhenzhen CHEN ; Tianxing CHEN ; Yuhang LIU ; Xueying WANG ; Xianwen TANG ; Yubo LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):33-40
ObjectiveTo explore the efficacy and mechanisms of Sini San in the treatment of depression and liver injury based on gut microbiota. MethodsThirty-two male Sprague-Dawley (SD) rats were randomly divided into a normal group, model group (M), Sini San group (MS, 2.5 g·kg-1), and fluoxetine group (MF, 2 mg·kg-1). Except for the normal group, rats in the other three groups were subjected to chronic unpredictable mild stress (CUMS). After 8 weeks, the open-field test and sucrose preference test were conducted. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum corticosterone (CORT), adrenocorticotropic hormone (ACTH), corticotropin-releasing factor (CRF), lipopolysaccharide (LPS), Zonulin, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), γ-aminobutyric acid (GABA) levels in the hippocampus and prefrontal cortex, and brain-derived neurotrophic factor (BDNF) levels in the hippocampus. Real-time quantitative polymerase chain reaction (Real-time PCR) was used to detect hippocampal BDNF mRNA expression. Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels were measured using the ultraviolet lactate dehydrogenase method. The ultrastructure of the intestinal epithelium was observed by electron microscopy, and gut microbiota in rat feces were analyzed using 16S rDNA high-throughput sequencing. ResultsCompared with the normal group, the sucrose preference of rats in the model group was significantly reduced (P<0.01), whereas it was significantly increased in the Sini San group compared with the model group (P<0.05). Compared with the normal group, hippocampal GABA protein levels and BDNF mRNA expression in the model group were significantly decreased (P<0.05), and compared with the model group, both were significantly increased in the Sini San group (P<0.05, P<0.01). Compared with the normal group, serum LPS and Zonulin levels in the model group were significantly increased (P<0.05, P<0.01), and compared with the model group, Zonulin levels in the Sini San group were significantly decreased (P<0.05). No obvious changes were observed in the ultrastructure of the jejunal mucosa among groups. Compared with the normal group, widened and blurred tight junctions, sparse and shortened microvilli, and mitochondrial swelling with cristae disruption in epithelial cells were observed in the ileal and colonic mucosa of the model group, which were markedly improved in the Sini San and fluoxetine groups. The results of 16S rDNA high-throughput sequencing showed that Sini San improved CUMS-induced dysbiosis of Bacteroidetes and Proteobacteria. Correlation analysis indicated that Bacteroidetes and Proteobacteria were significantly correlated with depression-related indicators, liver function, and intestinal mucosal permeability. ConclusionSini San exerts antidepressant and hepatoprotective effects by improving Bacteroidetes and Proteobacteria and inhibiting the increase in intestinal mucosal permeability in CUMS rats.
2.Effects and mechanism of curcumin on neurological injury in neonatal rats with bacterial meningitis
Yueyun LI ; Yanrui WANG ; Yan FU
China Pharmacy 2026;37(1):17-23
OBJECTIVE To investigate the effects and potential mechanism of curcumin on neurological injury in neonatal rats with bacterial meningitis based on the signal transducer and activator of transcription 1( STAT1)/ nucleotide-binding domain leucine- rich repeat and pyrin domain-containing receptor 3 (NLRP3) signaling pathway. METHODS Neonatal rats, with an equal number of males and females, were randomly divided into control group, model group, curcumin low-dose (Cur-L), medium-dose (Cur- M) and high-dose (Cur-H) groups, and Cur-H+STAT1 transcription enhancer [2-(1,8-naphthyridin-2-yl)phenol] group (Cur-H+2- NP group), with 15 rats in each group. Except for the control group, rats in other groups were injected with a suspension of group B Streptococcus (1×104 cfu/mL, 10 μL) into the cerebellomedullary cistern to establish a bacterial meningitis model. After successful model establishment, rats in Cur-L, Cur-M and Cur-H groups were intraperitoneally injected with 1.25, 2.5 and 5 mg/kg curcumin, respectively, and those in the Cur-H+2-NP group were intraperitoneally injected with 5 mg/kg curcumin and 0.5 mg/kg 2- NP, once a day, for 3 consecutive weeks. After the last administration, modified Loeffler score was conducted, white blood cells (WBC) count in cerebrospinal fluid as well as the contents of inflammatory factors [tumor necrosis factor-α, interleukin-6 (IL-6), IL-1β and IL-18], brain water content and blood-brain barrier permeability were detected; the histopathological changes of hippocampus and cortex tissues were observed. The percentage of apoptosis in hippocampal/cortical tissue cells, the positive expression of ionized calcium-binding adapter molecule-1 (Iba-1), the co-localization of Iba-1 and NLRP3, as well as the expressions of proteins related to the STAT1/NLRP3 signaling pathway (phosphorylated STAT1, NLRP3, apoptosis-associated speck-like protein containing a CARD, gasdermin D, caspase-1, IL-1β and IL-18) were examined. RESULTS Compared with the control group, the neurons in the hippocampal/cortical tissues of rats in the model group exhibited significant morphological abnormalities, accompanied by neuronal edema and necrosis, as well as infiltration of inflammatory cells. The modified Loeffler score and the number of Nissl bodies were significantly decreased/reduced in the model group, while the WBC count, levels of inflammatory factors, brain water content, blood-brain barrier permeability, HE staining score, number of degenerated neurons, percentage of apoptotic cells, positive expression of Iba-1, percentage of Iba-1 and NLRP3 co-localization- positive cells, and expressions of pathway-related proteins were all significantly rose/increased/upregulated (P<0.05). Compared with the model group, the histopathological changes in the hippocampal/cortical tissues of rats in all curcumin dosage groups were alleviated to varying degrees, with significant improvements in all quantitative indicators (P<0.05); conversely, 2-NP significantly reversed the ameliorative effects of curcumin on these quantitative indicators (P<0.05). CONCLUSIONS Curcumin can alleviate cerebral edema and blood-brain barrier damage, reduce neuroinflammation, inhibit cell apoptosis and pyroptosis, and thereby alleviate neuronal injury in neonatal rats with bacterial meningitis. The underlying mechanism may be related to the inhibition of the STAT1/NLRP3 signaling pathway.
3.Active Ingredients of Traditional Chinese Medicine Regulate Ferroptosis to Inhibit Breast Cancer: A Review
Yan LIU ; Zhenyao YANG ; Chengzhi WANG ; Jiuxian LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):299-306
Breast cancer (BC), a common malignant tumor in women, is characterized by high incidence and mortality rates, posing a serious threat to women's life and health. Currently, the commonly used treatments for BC include surgery, radiotherapy, chemotherapy, molecular targeted therapy, and endocrine therapy. Although radiotherapy and chemotherapy can effectively kill tumor cells and inhibit the proliferation and differentiation of tumor cells, they can induce adverse reactions such as hematopoietic dysfunction and impaired immune function. The other treatment methods also have problems such as drug resistance, high recurrence rates, reduced quality of life, and poor clinical efficacy. Therefore, it is urgent to explore new drugs with better efficacy and lower toxicity. Ferroptosis is a form of iron-dependent, non-apoptotic programmed cell death triggered by lipid peroxidation. In recent years, ferroptosis has become a hot topic in the field of cancer treatment and has been gradually proven to effectively inhibit the proliferation and metastasis of BC cells, reduce the drug resistance of BC to chemotherapy drugs, and enhance the sensitivity of BC to radiotherapy. Traditional Chinese medicine (TCM), with multiple components, multiple targets, and mild side effects, is widely used in the treatment of BC. A large number of studies have shown that active ingredients of TCM, such as saponins, flavonoids, terpenoids, phenols, and polysaccharides, can inhibit the proliferation and metastasis of BC cells by modulating ferroptosis-related pathways. These include iron metabolism, lipid metabolism, cystine/glutamate antiporter system Xc-/glutathione/glutathione peroxidase 4, Specifically, these ingredients elevate the levels of lipid peroxidation, reactive oxygen species, malondialdehyde, and Fe2+ in BC cells, thereby inducing ferroptosis-mediated suppression of tumor progression. This article reviews the relevant literature at home and abroad in recent years, summarizes the mechanisms of ferroptosis in regulating BC and the research progress in the active components of TCM targeting ferroptosis in the intervention of BC, aiming to provide ideas for the development of new drugs for the treatment of BC.
4.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
5.Five-year survival analysis and influencing factors of elderly lung cancer patients with chronic obstructive pulmonary disease in Mianyang City
Haishi XUE ; Ling HUANG ; Junjie XIA ; Yu QIU ; Ke GE ; Jincheng WANG ; Yuting CHEN ; Runjiao CHEN ; Lingna LI ; An LAN ; Yan HOU
Journal of Public Health and Preventive Medicine 2026;37(1):138-141
Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.
6.Research progress on the tumor microenvironment of liver cancer
Tianhao SONG ; Weiheng XU ; Yan WANG ; Li CHEN
Journal of Pharmaceutical Practice and Service 2026;44(2):65-70
Liver cancer, one of the most common primary malignancies in humans, is a malignant tumor characterized by multifactorial induction, polygenic involvement, and intricate molecular mechanisms. This disease is characterized by its treatment challenges and poor prognosis, which are closely related to its unique tumor microenvironment composition. The tumor microenvironment of liver cancer is a dynamic ecosystem composed of heterogeneous cellular populations, soluble cytokines, and remodeled extracellular matrix. In recent years, significant progress has been made in the study of the tumor microenvironment of liver cancer, revealed an important role in the occurrence, development, and treatment of liver cancer. The key regulatory elements of the tumor microenvironment in liver cancer were systematically summarized, such as activation of hepatic stellate cells, dysfunction of immune cells, abnormalities of platelet, and remodeling of the extracellular matrix, which provided theoretical foundations for prevention and treatment strategies against liver cancer.
7.Bibliometric visualization analysis of research literature of Angelica sinensis at home and abroad from 2012 to 2022 based on CiteSpace
Feifei LIU ; Liping CHEN ; Yan ZHONG ; Rong WANG ; Wenbin LI
Journal of Pharmaceutical Practice and Service 2026;44(2):88-95
Objective Based on the visualization graph analysis of the research hotspots of Angelica sinensis, predict the future research trends, and provide references for the next step of Angelica sinensis research. Methods Chinese and English literatures on Angelica sinensis collected from CNKI, WanFang, VIP and Web of Science from 2012 to 2022 were retrieved. CiteSpace 6.1.R6 software was used to perform visualization econometrics analysis on the number of publications, authors, institutions, journals, keywords and other topics. Results
8.A systematic review on the integrated application of evidence-based narrative education and undergraduate nursing teaching
Nannan BAI ; Meng LI ; Qian LIANG ; Chou YAO ; Yan WANG ; Ju HAN ; Chenyang HOU ; Nana XING
Chinese Medical Ethics 2026;39(2):229-237
ObjectiveTo systematically evaluate the application of narrative education in undergraduate nursing teaching, to understand the current application status of narrative education, and to provide a theoretical basis for the subsequent establishment of a sound narrative education system. MethodsA systematic search was conducted for studies published in Chinese and English databases on applying narrative education to undergraduate nursing teaching, with the search period ranging from database inception to February 23, 2025. Literature was screened, and relevant information was extracted. A rigorous quality evaluation was conducted on the included studies, and a descriptive analysis was performed on their content. ResultsA total of 20 papers were included, involving 3,180 research subjects, all of whom were undergraduate nursing students. The results of descriptive analysis showed that the teaching model of narrative education primarily encompassed reading narrative works, watching films and videos, performing narrative scenarios, and writing reflective journals. The course setting and content covered pre-teaching preparation and in-teaching implementation. The evaluation of teaching effectiveness included the evaluation of teachers’ teaching methods (student evaluation/self-evaluation) and the evaluation of students’ learning effectiveness (course grade evaluation/humanistic care scale/empathy scale assessment, and others). ConclusionNarrative education combines abstract concepts with concrete clinical situations, which not only enriches students’ learning experiences but also enhances their humanistic literacy. Meanwhile, it provides teachers with opportunities to develop their narrative teaching skills, which requires them to possess profound professional knowledge and employ narrative techniques to guide students in reflection and critical thinking, thereby improving teaching quality and learning outcomes. Future efforts should consistently deepen the connotation research of narrative education and build a systematic nursing education system.
9.Two cases of acute radiation-induced skin injury caused by external exposure to 192Ir
Li LI ; Wei SHANG ; Yan LING ; Mi WANG ; Huisheng ZHANG ; Chiqiao LU ; Xiaohu ZHONG ; Shenglong XU ; Juan GUO ; Chang LIU ; Yulong LIU
Chinese Journal of Radiological Health 2026;35(1):56-61
Objective To introduce the causes of accidents and the diagnosis and treatment of two patients with radiation-induced skin injury admitted to our hospital in 2023, and to provide a reference for the clinical treatment of subsequent radiation-induced skin injury. Methods The clinical treatment process of two patients with acute skin injury caused by external radiation exposure were summarized and analyzed. Results The exposure history of the two patients was reconstructed, the flaw detection scenario was simulated, the biological dose and hand skin exposure dose were estimated, and the infrared thermal imaging device was used for dynamic monitoring. A comprehensive analysis was conducted based on clinical manifestations and other data. The diagnosis of “Xie” was excessive exposure combined with acute radiation-induced skin injury on both hands (Grade IV for the right hand palm, index finger, and middle finger and Grade II for the left hand little finger). The diagnosis of “Hao” was acute radiation-induced skin injury on both hands (Grade I). The two patients received different clinical treatment measures: “Xie” was treated with both local and systemic therapies, while “Hao” was mainly treated with systemic therapy. Conclusion After systematic and effective treatment, the radiation-induced skin injuries healed in both patients.
10.Research progress on the intervention of energy metabolism disorders in chronic heart failure by active ingredients of traditional Chinese medicine through regulating circadian rhythms
Ruiqi GUO ; Sutong WANG ; Zhaohui LYU ; Yan LI ; Renwei GUAN ; Xiao LI
China Pharmacy 2026;37(5):670-675
The onset and progression of chronic heart failure (CHF) are closely associated with myocardial energy metabolism disorders, and this pathological process significantly affects patient prognosis. Traditional Chinese medicine (TCM), grounded in time-based medical theories such as the correspondence between humans and nature and the theory of circadian flow of meridians (Ziwu Liuzhu), exhibits intrinsic consistency with modern circadian rhythm theory, providing a unique theoretical framework for understanding and intervening in CHF from a temporal perspective. This article systematically explores the impact of circadian rhythms on energy metabolism and the potential mechanisms by which TCM active ingredients intervene in CHF through a review of relevant literature. It is found that various TCM active ingredients, including flavonoids (such as nobiletin), alkaloids (such as berberine), and polyphenols (such as resveratrol), can improve mitochondrial function, promote fatty acid oxidation, enhance glucose uptake and utilization efficiency, maintain metabolic balance, and alleviate oxidative stress and inflammatory responses in myocardial cells by regulating the expression and rhythms of core circadian clock genes such as CLOCK, BMAL1, PER, and CRY. These actions thereby correct energy metabolism disorders and improve cardiac function. Further exploration of the interaction mechanisms between these components and the circadian rhythms holds promise for providing novel theoretical foundations and potential intervention strategies for the prevention and treatment of CHF.


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