1.Protective effect of asiaticoside on isoproterenol induced myocardial injury in mice
Ziyu Ma ; Xinmeng Zuo ; Zhenyu Wang ; Mingming Wang ; Cui Li
Acta Universitatis Medicinalis Anhui 2025;60(1):59-65
Abstract:
To study the protective effect of asiaticoside(AS) on Isoproterenol Hydrochloride(ISO)-induced myocardial injury in mice.
Methods:
Sixty male C57BL/6 mice were randomly divided into blank control(CON) group, model group [ISO,ISO 10/(kg·d)], Low dose group [ISO+AS-L,ISO 10 mg/(kg·d)+AS 5 mg/(kg·d)], Medium dose group [ISO+AS-M, ISO 10 mg/(kg·d)+AS 10 mg/(kg·d)], High dose group [ISO+AS-H, ISO 10 mg/(kg·d)+AS 20 mg/(kg·d)]. Heart mass ratio was counted; changes were observed in electrocardiogram; Enzyme linked immunosorbent assay(ELISA) was used to detect the levels of interleukin(IL)-1β and cardiac troponin T(cTn-T) in serum; Masson staining was used to observe the fibrosis of mouse myocardial tissue; Western blot was used to detect the ratio of Bax and Bcl-2 protein expression levels(Bax/Bcl-2) and the expression levels of Caspase-3 and NLRP3 proteins in myocardial tissue; real-time quantitative polymerase chain reaction(qPCR) was used to detect the mRNA expression levels ofANP,BNP,β-MHC,TNF-α, IL-6, Type Ⅰ collagen(COLⅠ), and Type Ⅲ collagen(COLⅢ).
Results:
Compared with the CON group, the ISO group had an elevated heart-to-mass ratio(P<0.01), a lower heart rate(P<0.05), a prolonged QT interval(P<0.05), elevated expression of myocardial injury markers cTn-T,ANP,BNP, andβ-MHC(P<0.01); increased expression of IL-1β in the serum(P<0.01), increased expression ofTNF-αin the cardiac tissue and increasedIL-6expression(P<0.001), and NLRP3 protein expression was elevated(P<0.05); myocardium showed a large number of collagen fibers bluish staining(P<0.001),COLⅠ,COLⅢmRNA expression levels increased(P<0.001), and Bax/Bcl-2 ratio(P<0.001) and Caspase-3 expression were significantly elevated(P<0.05). Compared with ISO group, heart-to-mass ratio of mice in ISO+AS-L and ISO+AS-M groups decreased(P<0.05), heart rate increased, QT interval was shortened, cTn-T, ANP, BNP and β-MHC decreased(P<0.001), myocardial collagen fiber blue-staining decreased(P<0.01). The mRNA expression levels ofCOLⅠandCOLⅢdecreased(P<0.05). The expression levels of IL-1β and TNF-α decreased(P<0.01). NLRP3, Caspase-3 protein expression and Bax/Bcl-2 ratio decreased(P<0.05). The expression level ofIL-6in ISO+AS-M group decreased(P<0.01). The expression levels ofANP,BNP, andTNF-αmRNA expression were reduced in the ISO+AS-H group(P<0.001); the degree of myocardial fibrosis was improved(P<0.05), and the expression levels ofCOLⅠandCOLⅢmRNA were reduced(P<0.05).
Conclusion
AS has a protective effect against ISO-induced myocardial injury in mice by ameliorating cardiac fibrosis, inhibiting cardiomyocyte apoptosis and attenuating myocardial tissue inflammatory response.
2.Research Progress on the Mechanism of Lipocalin-2 in Neurological Diseases
Yongtai ZHOU ; Zhenyu YANG ; Yan LI ; Jiajing WU ; Bo ZHAO
Medical Journal of Peking Union Medical College Hospital 2025;16(2):330-337
Lipocalin-2 (LCN2), a member of the human lipocalin family, has been demonstrated to be closely associated with diabetes, cardiovascular diseases, and renal disorders. Recent studies have indicated that LCN2 plays a significant regulatory role in the pathogenesis and progression of various neurological diseases by mediating pathways such as inflammation, oxidative stress, and ferroptosis. This article reviews the research advancements on the mechanism of LCN2 in neurological disorders, including cerebrovascular diseases, cognitive impairment disorders, Parkinson's disease, depression, and anxiety disorders, aiming to enhance clinical understanding.
3.Paclitaxel Oral Preparations: A Review
Jie GAO ; Shiyang LI ; Jing GUO ; Rongsheng LI ; Zhenyu XUAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):322-330
Paclitaxel, a highly effective natural antitumor drug, has been demonstrated to be efficacious in the treatment of a variety of cancers, including breast cancer, ovarian cancer, and lung cancer. The traditional paclitaxel injections have been observed to present certain issues, including overt adverse reactions and a decline in the quality of life of patients following treatment. This ultimately leads to an inability to meet the comprehensive needs of patients, thereby limiting the clinical applications of the drugs. Compared with injectable administration, the oral administration can avoid the risk of infection present in the invasive route, is conducive to improving patient compliance and quality of life, and reduces healthcare costs, and has a good application prospect. However, paclitaxel has low solubility, poor permeability, and is susceptible to the exocytosis of P-glycoprotein, which presents a significant challenge in the development of its oral preparations. Novel drug delivery technologies can enhance the solubility of paclitaxel and facilitate its controlled release, which is beneficial for the oral absorption and efficacy. The paper reviews the development history of oral preparations of paclitaxel, and summarizes the delivery technologies such as polymer micelles, nanoparticles, nanoemulsions and nanocrystals, and discusses the application mechanisms, advantages and limitations of these technologies and their adaptability in different cancer treatments. Finally, the challenges faced in the development of oral preparations of paclitaxel are summarized, and future research directions are proposed in order to provide new ideas for the development of oral delivery of paclitaxel.
4.Paclitaxel Oral Preparations: A Review
Jie GAO ; Shiyang LI ; Jing GUO ; Rongsheng LI ; Zhenyu XUAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):322-330
Paclitaxel, a highly effective natural antitumor drug, has been demonstrated to be efficacious in the treatment of a variety of cancers, including breast cancer, ovarian cancer, and lung cancer. The traditional paclitaxel injections have been observed to present certain issues, including overt adverse reactions and a decline in the quality of life of patients following treatment. This ultimately leads to an inability to meet the comprehensive needs of patients, thereby limiting the clinical applications of the drugs. Compared with injectable administration, the oral administration can avoid the risk of infection present in the invasive route, is conducive to improving patient compliance and quality of life, and reduces healthcare costs, and has a good application prospect. However, paclitaxel has low solubility, poor permeability, and is susceptible to the exocytosis of P-glycoprotein, which presents a significant challenge in the development of its oral preparations. Novel drug delivery technologies can enhance the solubility of paclitaxel and facilitate its controlled release, which is beneficial for the oral absorption and efficacy. The paper reviews the development history of oral preparations of paclitaxel, and summarizes the delivery technologies such as polymer micelles, nanoparticles, nanoemulsions and nanocrystals, and discusses the application mechanisms, advantages and limitations of these technologies and their adaptability in different cancer treatments. Finally, the challenges faced in the development of oral preparations of paclitaxel are summarized, and future research directions are proposed in order to provide new ideas for the development of oral delivery of paclitaxel.
5.Overview of Studies on the Intervention of Chinese Medicinals in Energy Metabolism Reconstruction in Heart Failure
Xinyue NING ; Wenxiao LI ; Zhenyu ZHAO ; Yang GUO ; Panpan ZHOU ; Ludan ZHAO ; Lin LI
Journal of Traditional Chinese Medicine 2025;66(10):1073-1077
Energy metabolism reconstruction is the new target of the treatment of heart failure. By combing the researches of Chinese medicinals for energy metabolism reconstruction of heart failure, it was found that Chinese medicinal compound formula and single Chinese medicinal have a certain role in regulating energy metabolism, mainly through three aspects, including the optimization of substrate utilization, improvement of mitochondrial structure, function, and homeostasis, and improvement of mitochondrial energy transport, so as to make the energy metabolism of the cardiomyocyte adjusted in the direction of beneficial to the organism, increasing the supply of energy, and improving the cardiac function.
6.Shenfu Injection Improve Chronic Heart Failure by Regulates Glycolytic Pathway Mediated by HIF-1α/PFKFB3 Pathway
Ji OUYANG ; Kun LIAN ; Xiaoqian LIAO ; Lichong MENG ; Lin LI ; Zhenyu ZHAO ; Zhixi HU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(16):136-145
ObjectiveThis study aims to explore the mechanism and targets of Shenfu Injection in regulating glycolysis to intervene in myocardial fibrosis in chronic heart failure based on the hypoxia-inducible factor-1α (HIF-1α)/ 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) signaling pathway. MethodsA rat model of chronic heart failure was established by subcutaneous injection of isoproterenol (ISO). After successful modeling, the rats were randomly divided into the Sham group, Model group, Shenfu injection (SFI, 6 mL·kg-1) group, and inhibitor (3PO, 35 mg·kg-1) group, according to a random number table, and they were treated for 15 days. Cardiac function was evaluated by echocardiography, and serum N-terminal pro-brain natriuretic peptide (NT-proBNP) levels were detected by enzyme-linked immunosorbent assay (ELISA). Fasting body weight and heart weight were measured, and the heart index (HI) was calculated. Pathological changes in myocardial tissue were observed by hematoxylin-eosin (HE) and Masson staining, and the fibrosis rate was calculated. Biochemical assays were used to determine serum levels of glucose (GLU), lactic acid (LA), and pyruvic acid (PA). Western blot was used to analyze the expression of proteins related to the HIF-1α/PFKFB3 signaling pathway (HIF-1α and PFKFB3), glycolysis-related proteins (HK1, HK2, PKM2, and LDHA), and fibrosis-related proteins [transforming growth factor (TGF)-β1, α-smooth muscle actin (α-SMA), and Collagen type Ⅰ α1 (ColⅠA1)]. Real-time PCR was used to detect the mRNA expression of HIF-1α and PFKFB3 in myocardial tissue. ResultsCompared with the Sham group, the Model group showed significantly decreased left ventricular ejection fraction (LVEF), left ventricular shortening fraction (LVFS), interventricular septal thickness (IVSd), and interventricular septal strain (IVSs) (P<0.05), while left ventricular internal dimension at end-diastole (LVDd) and end-systole (LVIDs) were increased (P<0.05). Serum NT-proBNP levels were significantly increased (P<0.01), and body weight was decreased. Heart weight was increased, and the HIT index was increased (P<0.05). Myocardial tissue exhibited inflammatory cell infiltration and collagen fiber deposition, and the fibrosis rate was significantly increased (P<0.05). Serum GLU was decreased (P<0.05), while LA and PA levels were increased (P<0.05). Protein expressions of HIF-1α, PFKFB3, HK1, HK2, PKM2, LDHA, TGF-β1, α-SMA, and ColⅠA1, as well as the mRNA expression of HIF-1α and PFKFB3 were increased (P<0.05). Compared with the Model group, both the SFI group and 3PO groups showed significant improvements in LVEF, LVFS, IVSd, and IVSs (P<0.05) and decreases in LVDd, LVIDs, and NT-proBNP levels (P<0.05). Body weight was significantly increased. Heart weight was significantly decreased, and the HIT index was significantly decreased (P<0.05). Inflammatory cell infiltration, collagen fiber deposition, and the fibrosis rate were significantly decreased (P<0.05). Serum GLU levels were significantly increased (P<0.05), while LA and PA levels were decreased (P<0.05). Expressions of glycolysis-related proteins, fibrosis-related proteins, and HIF-1α/PFKFB3 pathway-related proteins and mRNAs were significantly suppressed (P<0.05). ConclusionSFI improves cardiac function in chronic heart failure by downregulating the expression of HIF-1α/PFKFB3 signaling pathway-related proteins, regulating glycolysis, and inhibiting myocardial fibrosis.
7.Study on the quality of Bolbostemmatis Rhizoma standard decoction by HPLC fingerprint combined with quantitative analysis of multi-components by single marker
Zhenyu LI ; Xiangyuan ZHOU ; Yifei MA ; Xian QIU ; Minyou HE ; Xiangdong CHEN ; Dongmei SUN
International Journal of Traditional Chinese Medicine 2024;46(1):76-83
Objective:To establish the HPLC fingerprint of Bolbostemmatis Rhizoma standard decoction; To determine the three effective components with similar structure by quantitative analysis of multi-components by single marker (QAMS); To evaluate the quality of Bolbostemmatis Rhizoma standard decoction.Methods:HPLC was adopted to establish the fingerprints of 15 batches of Bolbostemmatis Rhizoma standard decoction. The Chromatographic column was Waters XBridge Phenyl (4.6 mm×250 mm, 5 μm). The mobile phase was acetonitrile-0.1% phosphoric acid solution with gradient elution. Cluster analysis (HCA) and principal component analysis (PCA) were conducted based on the relative peak area of common peaks. The same method as the fingerprint was used to establish QAMS of tubeimoside A, B, C on Bolbostemmatis Rhizoma standard decoction.Results:There were 14 common peaks in the fingerprint of Bolbostemmatis Rhizoma standard decoction. It was confirmed that the peak 3 was L-tryptophan, the peak 11 was tubeimoside B, the peak 12 was tubeimoside C, and the peak 13 was tubeimoside A. 15 batches of Bolbostemmatis Rhizoma standard decoction from different origins were divided into 3 categories by HCA and PCA. There was no significant difference between QAMS and the external standard method (ESM) through the system suitability inspection. Conclusion:This method is accurate, reliable and has good specificity, which can effectively evaluate the quality of Bolbostemmatis Rhizoma standard decoction.
8.Study on quality evaluation of Buddleja officinalis from different habitats based on HPLC fingerprint and content determination
Cuijie WEI ; Xiaoxia LIU ; Zhiwen DUAN ; Yongwei FENG ; Xiaozhou JIA ; Yueyi LIANG ; Xiangdong CHEN ; Dongmei SUN ; Zhenyu LI
International Journal of Traditional Chinese Medicine 2024;46(2):215-221
Objective:To establish UPLC fingerprint method and 2 contents determination methods of Buddleja officinalis; To provide a reference for improving the quality control standard and evaluation of Buddleja officinalis from different habitats.Methods:UPLC method was used to establish the fingerprints of 17 batches of Buddleja officinalis. The similarity evaluation, clustering analysis, principal component analysis and orthogonal partial least squares discriminant analysis were used to compare the quality differences of Buddleja officinalis from different habitats. The contents of acteoside and linarin in Buddleja officinalis were determined.Results:There were 12 common peaks in UPLC fingerprints of Buddleja officinalis, six of which were identified as echinacoside, acteoside, cynaroside, isoacteoside, linarin, and apigenin. The fingerprint similarity of 17 batches of Buddleja officinalis was more than 0.9; Buddleja officinalis from different habitats were classified into 2 groups. Five differential markers were determined by OPLS-DA analysis. The order of significance was acteoside > peak 3 > echinacoside > isoacteoside > linarin. Edgeworthia chrysantha was identified by the method of fingerprint as counterfeit. The results of content determination showed that the content of Buddleja officinalis in Hubei and Sichuan was the high and stable.Conclusion:The method can effectively analyze the differences of Buddleja officinalis from different habitats, and provide reference for the quality control of Buddleja officinalis.
9.Factors of communication disorders in ICU machinery ventilates patients based on the theoretical framework of acceptability:a phenomenological study
Yunjing YANG ; Zhenyu ZHANG ; Mingxiao GAO ; Ying LI ; Hongni XU
Chinese Journal of Practical Nursing 2024;40(4):302-307
Objective:To explore the factors leading to communication disorders in ICU patients during mechanical ventilation from the perspective of both patients and medical staff, and to use the theoretical framework of acceptability to identify the barriers that can be improved by intervention.Methods:Using the method of descriptive phenomenology from July to August 2022, 11 patients with mechanical ventilation and 8 medical staff in the comprehensive ICU of a Yuhuangding Hospital in Yantai were selected for interviews by the purpose sampling method, combined with participatory observation. The interviews of patients were conducted off ventilator. With Nvivo12.0 Plus software, the seven-step analysis method of Colaizzi phenomenology was adopted to summarize the theme and the theoretical framework of acceptability was used to identify the obstacle factors that could be improved by intervention.Results:The age of 11 patients was 18-46 years old, the duration of mechanical ventilation was 9.5-312.3 h. The age of 8 medical staff was 26-54 years old, the length of service in ICU was 2-30 years. A total of 14 themes were extracted. For patients: defensive mood, difficulty in presenting information, introverted personality, communication tools are hard to use, emergency treatment conflict, deny the ability to communicate, thought slowness. For medical staff: defensive mood, cognitive load, high time cost, lack of humane communication strategies, poor training, other priorities, loss of confidence in effective communication, awareness of the importance of communication was not enough.Conclusions:There are many factors that can be improved for patients with mechanical ventilation in ICU. It is suggested to speed up the research and development of high-tech and personalized alternative communication tools in China, reduce negative communication between doctors and patients and nurses and patients, and implement evidence-based multi-mode and progressive communication intervention strategies.
10.Construction of prediction model of neonatal necrotizing enterocolitis based on machine learning algorithms
Zhenyu LI ; Ling LI ; Jiaqi WEI ; Qinlei JIANG ; Hui WU
Chinese Journal of Neonatology 2024;39(3):150-156
Objective:To construct prediction models of necrotizing enterocolitis (NEC) using machine learning (ML) methods.Methods:From January 2015 to October 2021, neonates with suspected NEC symptoms receiving abdominal ultrasound examinations in our hospital were retrospectively analyzed. The neonates were assigned into NEC group (modified Bell's staging≥Ⅱ) and non-NEC group for diagnostic prediction analysis (dataset 1). The NEC group was subgrouped into surgical NEC group (staging≥Ⅲ) and conservative NEC group for severity analysis (dataset 2). Feature selection algorithms including extremely randomized trees, elastic net and recursive feature elimination were used to screen all variables. The diagnostic and severity prediction models for NEC were established using logistic regression, support vector machine (SVM), random forest, light gradient boosting machine and other ML methods. The performances of different models were evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, negative predictive value and positive predictive value.Results:A total of 536 neonates were enrolled, including 234 in the NEC group and 302 in the non-NEC group (dataset 1).70 were in the surgical NEC group and 164 in the conservative NEC group (dataset 2). The variables selected by extremely randomized trees showed the best predictive performance in two datasets. For diagnostic prediction models, the SVM model had the best predictive performance, with AUC of 0.932 (95% CI 0.891-0.973) and accuracy of 0.844 (95% CI 0.793-0.895). A total of 11 predictive variables were determined, including portal venous gas, intestinal dilation, neutrophil percentage and absolute monocyte count at the onset of illness. For NEC severity prediction models, the SVM model showed the best predictive performance, with AUC of 0.835 (95% CI 0.737-0.933) and accuracy of 0.787 (95% CI 0.703-0.871). A total of 25 predictive variables were identified, including age of onset, C-reactive protein and absolute neutrophil count at clincial onset. Conclusions:NEC prediction model established using feature selection algorithm and SVM classification model in ML is helpful for the diagnosis of NEC and grading of disease severity.


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