1.Expert Consensus on Clinical Application of Qidong Yixin Oral Liquid
Changkuan FU ; Xiaochang MA ; Mingjun ZHU ; Yue DENG ; Hongxu LIU ; Mingxue ZHANG ; Ying CHEN ; Yan ZHOU ; Ling ZHANG ; Jianhua FU ; Wei YANG ; Yu'er HU ; Ming CHEN ; Yanming XIE ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):147-158
The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis (VMC). It has the functions of tonifying Qi, nourishing the heart,calming the mind, and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However,the understanding of its efficacy evidence, advantageous aspects, dosage and administration, and medication safety remains insufficient in clinical practice. Therefore,the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid (hereinafter referred to as consensus) was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine,successively completing multiple tasks such as the consensus project initiation,determination of clinical problems,evidence search and evaluation,formation of recommendation opinions and consensus suggestions,solicitation of opinions,peer review, submission for review and release, and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions,clarifying the clinical positioning,efficacy advantages,syndrome differentiation,dosage and administration,combination therapy,timing of medication,adverse reactions,contraindications, and precautions of Qidong Yixin oral liquid,indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease,providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23, 2024. Standard number:GSCACM-376-2024.
2.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.
3.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.
4.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
5.Sanren Runchang Formula Regulates Brain-gut Axis to Treat IBS-C: A Randomized Controlled Trial
Teng LI ; Xinrong FAN ; He YAN ; Zhuozhi GONG ; Mengxi YAO ; Na YANG ; Yuhan WANG ; Huikai HU ; Wei WEI ; Tao LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):154-161
ObjectiveTo observe the clinical efficacy of Sanren Runchang formula in treating constipation-predominant irritable bowel syndrome (IBS-C) by regulating the brain-gut axis and the effects of the formula on serum levels of 5-hydroxytryptamine (5-HT), vasoactive intestinal peptide (VIP), and substance P (SP). MethodsA randomized controlled design was adopted, and 72 IBS-C patients meeting Rome Ⅳ criteria were randomized into observation and control groups (36 cases).The observation group received Sanren Runchang formula granules twice daily, and the control group received lactulose oral solution daily for 4 weeks. IBS Symptom Severity Scale (IBS-SSS), IBS Quality of Life Scale (IBS-QOL), and Bristol Stool Form Scale (BSFS) were used to assess clinical symptoms, and bowel movement frequency was recorded. The Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were employed to evaluate psychological status. ELISA was employed to measure the serum levels of 5-HT, VIP, and SP. ResultsThe total response rate in the observation group was 91.67% (33/36), which was higher than that (77.78%, 28/36) in the control group (χ2=4.50, P<0.05). After treatment, both groups showed increased defecation frequency and BSFS scores, decreased IBS-SSS total score, abdominal pain and bloating scores, IBS-QOL health anxiety, anxiety, food avoidance, and behavioral disorders scores, SAS and SDS scores, serum 5-HT and VIP levels, and increased SP levels (P<0.05, P<0.01). Moreover, the observation group showed more significant changes in the indicators above than the control group (P<0.05, P<0.01). The SP level showed no significant difference between the two groups. During the 4-week follow-up, the recurrence rate was 5.88% in the observation group and 31.25% in the control group. No adverse events occurred in observation group, and 2 cases of mild diarrhea occurred in the control group. ConclusionSanren Runchang formula demonstrated definitive efficacy in alleviating gastrointestinal symptoms and improving the psychological status and quality of life in IBS-C patients, with a low recurrence rate. The formula can regulate serum levels of neurotransmitters such as 5-HT and VIP, suggesting its potential regulatory effect on the brain-gut axis through modulating neurotransmitters and neuropeptides. However, its complete mechanism of action requires further investigation through detection of additional brain-gut axis-related biomarkers.
6.Effect of Traditional Chinese Medicine Monomers and Compounds on Regulating JAK/STAT Signaling Pathway in Rheumatoid Arthritis Treatment: A Review
Xiaonan YAN ; Jigao LI ; Ruixiang YANG ; Ruilin LIU ; Quan ZHOU ; Zhen LI ; Yan LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):289-298
Rheumatoid arthritis (RA) is a common chronic systemic autoimmune disease with synovitis as the main manifestation, which often causes joint swelling and pain or even deformity. It is considered to be an incurable lifelong disease. Although the current Western medicine treatment can alleviate the progression of the disease, it has the clinical limitations of liver injury, cardiovascular complications, and other adverse reactions, along with easy recurrence. Traditional Chinese medicine (TCM) has a long history and has the advantages of individualized treatment and fewer adverse reactions. It can effectively relieve the symptoms of joint swelling and pain in RA patients and slow down the progression of bone destruction, which has attracted wide concern in the medical community. Janus kinase (JAK)/signal transducer and activator of transcription (STAT) signaling pathway is an important intracellular pathway involved in cell proliferation, differentiation, apoptosis, immune regulation, and other biological behaviors, and plays an important role in the pathophysiological process of RA. In recent years, many studies have confirmed that TCM monomers and compounds can inhibit inflammation and angiogenesis by regulating the JAK/STAT signaling pathway, induce apoptosis and inhibit proliferation of fibroblast-like synoviocytes (FLS), regulate immune response, and thus exert an effect in the treatment of RA. However, there is still a lack of comprehensive and systematic induction and overview. Therefore, by searching the relevant literature in China National Knowledge Infrastructure (CNKI) and PubMed databases from 2009 to 2024, this study described the mechanism of the JAK/STAT signaling pathway in the occurrence and development of RA and summarized the research progress of TCM monomers and compounds in regulating the JAK/STAT signaling pathway in RA intervention. The study aims to provide new ideas and strategies for the clinical treatment of RA with TCM and the research and development of new drugs.
7.Isolation,identification,and application of exosomes derived from mesenchymal stem cells
Yu LIU ; Senyi GONG ; Lihua YANG ; Weifeng LI ; Yuwen HU ; Qinbiao YAN ; Meijin GUO
Chinese Journal of Tissue Engineering Research 2026;30(1):194-203
BACKGROUND:Exosomes derived from mesenchymal stem cells play pivotal roles in cell communication and epigenetic regulation due to their low immunogenicity and targeted delivery effects,and have been clinically applied in the treatment of various diseases.OBJECTIVE:To review the isolation,purification,identification methods,and application progress of mesenchymal stem cell-derived exosomes,and to facilitate the development of large-scale preparation techniques and clinical translation of mesenchymal stem cell-derived exosomes.METHODS:The Chinese search terms"exosome,mesenchymal stem cells,isolation,purification,characterization,clinical application"and the English search terms"exosome,extracellular vesicles,mesenchymal stem cells,isolation,characterization,application"were used to search the literature published before September 2024 in CNKI,PubMed,and Web of Science databases.Articles with poor relevance to the topic,outdated,or duplicated content were excluded,and finally,109 articles were included for review.RESULTS AND CONCLUSION:(1)This paper reviews recent methods for isolating and purifying exosomes,comparing the characteristics of ultracentrifugation,ultrafiltration,size-exclusion chromatography,polymer precipitation,immunoaffinity,microfluidic methods,and other novel approaches based on their underlying principles.(2)Methods for identifying exosomes can be categorized into physical and biochemical analyses,characterizing exosomes based on their shape,size,and characteristic proteins.(3)Mesenchymal stem cell-derived exosomes have broad applications in multiple fields such as medical aesthetics,wound repair,and cancer treatment,due to their immune-regulatory properties and ability to cross biological barriers.(4)The clinical translation of exosomes faces challenges due to their complex structure,lack of universal isolation techniques,and poor stability,making it difficult to achieve in a short period of time.
8.Research on the correlation between Ddit3-Trib3-Akt signaling pathway and spermatogenesis in rats based on the testicular tissue co-culture system
Yan LI ; Shanshan LIU ; Lin GAO ; Lingyi KONG ; Xia YUN ; Yan ZHANG ; Taodi LIU
Acta Universitatis Medicinalis Anhui 2026;61(1):91-97
ObjectiveTo verify the association between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis by constructing an in vitro co-culture system of testis. MethodsTesticular tissue blocks from 20-25-day-old male rats were placed in an in vitro culture system, and the culture medium was replaced every 2 to 3 days. PCR was used to verify the expression of marker genes of various spermatogenic cells. RNA interference technology was employed to verify the correlation between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis. ResultsThe co-culture system could be continuously cultured for more than 2.5 months in vitro. RT-PCR showed that specific marker genes of spermatogonia, spermatocyte and spermoblast were expressed. The RNA and protein expression of Trib3 and Akt changed after the knocking down of Ddit3 and Trib3, respectively. It demonstrated the existence of Ddit3-Trib3-Akt signaling pathway in rat spermatogenesis. ConclusionThe culture time of more than 2.5 months indicates that the culture system can temporarily maintain the proliferation and differentiation of stem cells, and simultaneously maintain and stabilize spermatogenesis in a simple system. The successful validation of the Ddit3-Trib3-Akt signaling pathway also confirms that this culture system can be used to study possible molecular mechanisms of spermatogenesis in vitro.
9.Pharmacodynamic Substances and Mechanisms of Xinglou Chengqi Tang in Treating Post-stroke Complications: A Review
Yujin ZHANG ; Xiangzhuo LIU ; Zhouyang CHEN ; Zihao SONG ; Xinyi LIU ; Yizhi YAN ; Chaoya LI ; Yingyan FANG ; Shasha YANG ; Xueqin CHENG ; Zhou XIE ; Sijie TAN ; Peng ZENG ; Yue ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):327-337
Stroke is the leading cause of death and disability among adults in China, and its common complications include digestive system abnormalities, cognitive impairment, depression, stroke-associated pneumonia, and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang (XLCQT) is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically, XLCQT is often used to treat stroke and its complications. However, the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally, since the basic research is weak, the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis, medicinal properties, safety evaluation, and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients, resveratrol, kaempferol, luteolin, chrysoeriol, apigenin, (+)-catechin, and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex, including inflammatory response, brain-gut axis, hypothalamic-pituitary-adrenal (HPA) axis, intestinal flora, neurotrophic factors, autophagy, oxidative stress, and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.
10.Construction and validation of a medication deviation prediction model for hospital-to-home transition period in coronary heart disease patients with initial treatment
Yushuang LI ; Shu LI ; Qianying ZHANG ; Yan HUANG ; Kun LIU ; Xiulin GU ; Huanhuan JIANG
China Pharmacy 2026;37(4):491-496
OBJECTIVE To develope a predictive model for medication deviation risks during the hospital-to-home transition period in coronary heart disease (CHD) patients with initial treatment, aiming to assist medical staff in rapidly identifying high-risk groups for medication deviation. METHODS A total of 462 CHD patients with initial treatment from the Affiliated Hospital of North China University of Science and Technology (hereinafter referred to as “our hospital”) between January and July 2024 were enrolled. The patients were randomly divided into a modeling group and an internal validation group. The modeling group was further categorized into a medication deviation group and a non-medication deviation group based on whether medication deviations occurred. Similarly, 57 CHD patients with initial treatment from the cardiology department of our hospital between June and September 2025 were collected as an external validation group. Univariate analysis was used to screen predictive factors, followed by multivariate Logistic regression to construct the predictive model. Internal validation methods were employed to evaluate model performance, while external validation methods were used to test the model’s generalizability. RESULTS The 462 patients were divided into a modeling group (319 cases) and an internal validation group (143 cases). In the modeling group, the medication deviation group (192 cases, 60.19%) and the non-medication deviation group (127 cases, 39.81%) were identified. Multivariate Logistic regression analysis revealed that age, medication type, medication adherence, and self-efficacy in rational medication use were predictive factors for medication deviations in CHD patients with initial treatment ( P <0.05). The predictive model equation was logit P =ln[ P /(1- P ) ] =1.321+1.732×age+4.091×medication type -4.360×medication adherence -3.081×self-efficacy in rational medication use. The model demonstrated good discrimination, with a Hosmer-Lemeshow goodness-of-fit test P -value of 0.439, an area under the receiver operating characteristic curve (AUC) of 0.870, sensitivity of 0.970, and specificity of 0.607. A risk nomogram with a total score of 350 points and a cutoff value of 110 points was plotted. The internal validation group showed an AUC o f 0.787 and a prediction accuracy of 77.6%, while the external validation group exhibited an AUC of 0.802 and a prediction accuracy of 73.7%. CONCLUSIONS This study successfully developed a predictive model for medication deviation risks during the hospital-to-home transition period in CHD patients with initial treatment. The model demonstrates excellent discrimination and predictive accuracy, effectively identifying high-risk populations for medication deviations. Age (>70 years), number of drug types≥5, poor medication adherence, and poor self-efficacy in rational medication use are independent risk factors for medication deviations.

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