1.Traditional Chinese Medicine Treats Esophageal Cancer via PI3K/Akt Signaling Pathway: A Review
Wei GUO ; Chen PENG ; Yikun WANG ; Zixuan YU ; Jintao LIU ; Jing DING ; Yijing LI ; Hongxin SUN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):302-311
Esophageal cancer (EC) is a highly prevalent malignant tumor in China. The phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway, as one of the key oncogenic pathways, can promote the cell cycle progression, proliferation, migration, and invasion, induce chemoresistance, and inhibit apoptosis and autophagy of EC cells. Traditional Chinese medicine (TCM), with the advantages of targeting multiple points with multiple components to delay cancer progression, can target the PI3K/Akt signaling pathway for EC treatment. This article preliminarily discusses the molecular mechanism and role of the PI3K/Akt signaling pathway in EC and elaborates on the specific targets and efficacy of TCM in treating EC through intervention in the PI3K/Akt signaling pathway in the past five years. TCM materials and extracts inhibiting the PI3K/Akt signaling pathway in EC include Borneolum, spore powder of Ganoderma lucidum without spore coat, extract of Celastrus orbiculatus, root extract of Taraxacum, and Bruceae Fructus oil emulsion. TCM active ingredients exerting the effect include flavonoids, terpenoids, saponins, phenols, polysaccharides, alkaloids, and other compounds. TCM compound prescriptions with such effect include Qige San, Huqi San, Xuanfu Daizhetang, Tongyoutang and its decomposed prescriptions, Liujunzi Tang, and Xishenzhi Formula. In addition, TCM injections such as Compound Kushen Injection and Kang'ai injection also inhibit the PI3K/Akt signaling pathway in EC. This paper summarizes the role of the PI3K/Akt signaling pathway in EC and the TCM interventions, aiming to provide reference for the research and clinical application of new drugs for EC.
2.Research progress of non-insulin hypoglycemic drugs in the treatment of type 1 diabetes mellitus
Zejie XU ; Jiaoni ZHENG ; Jing LUO ; Liangyu WANG ; Wei YAN ; Qiang HE ; Xuefeng SHAN
China Pharmacy 2026;37(2):263-267
Traditional treatment for type 1 diabetes mellitus (T1DM) primarily involves insulin replacement, yet some patients encounter issues such as significant blood glucose fluctuations, high risk of hypoglycemia, and weight gain. In recent years, the adjuvant therapeutic role of non-insulin hypoglycemic drugs in T1DM has gradually gained attention. This article reviews the mechanisms of action and clinical research progress of five types of non-insulin hypoglycemic drugs in the treatment of T1DM: amylin analogues (pramlintide), biguanides (metformin), sodium-glucose co-transporter 2 inhibitor, dipeptidyl peptidase-4 inhibitor, and glucagon-like peptide-1 receptor agonist. It is found that these drugs can enhance clinical benefits for T1DM patients by improving insulin sensitivity, delaying gastric emptying, promoting urinary glucose excretion, and regulating incretin levels, thereby reducing glycated hemoglobin levels, decreasing insulin dosage, and managing body weight. Simultaneously, these drugs also present limitations such as low patient compliance due to complex dosing regimens, increased risk of diabetic ketoacidosis, and heterogeneity in glycemic control. Future research could focus on developing individualized treatment strategies, combining pharmacogenomics with novel biomarkers to precisely identify subpopulations of patients who may benefit, and delving into the potential value of these drugs in delaying diabetic vascular complications and improving patients’ quality of life.
3.Decision-making behavior in patients with depressive disorder and its relationship with depressive and anxiety symptoms
Yuxiang WANG ; Luoya ZHANG ; Maomao ZHANG ; Juan DENG ; Yanjie PENG ; Xiaotong CHENG ; Kezhi LIU ; Wei LEI ; Jing CHEN
Sichuan Mental Health 2025;38(1):22-27
BackgroundPatients with depressive disorder often exhibit impaired decision-making functions. However, the relationship between decision-making abilities and depressive and anxiety symptoms in these patients remains unclear. ObjectiveTo explore the characteristics of decision-making behavior in patients with depressive disorder, and to analyze its relationship with clinical symptoms. MethodsA total of 48 patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) were recruited from the Department of Psychosomatic Medicine of the Affiliated Hospital of Southwest Medical University from October 2020 to May 2023. Concurrently, 52 healthy individuals matched for age and gender were recruited from Luzhou as the control group. Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI) were used for assessment, and decision-making behavior was evaluated using Probabilistic Reversal Learning (PRL) task. Indicators assessed included the number of trials to criterion, perseverative errors, win-stay rate and lose-shift rate. Spearman correlation analysis was used to assess the correlation between BDI and BAI scores and PRL task indicators. ResultsThe depression group showed a significantly higher lose-shift rate compared with the control group (t=3.684, P<0.01). There were no statistically significant differences between two groups in trials to criterion, perseverative errors and win-stay rate (t=0.329, 0.132, 0.609, P>0.05). In depression group, BDI and BAI scores were positively correlated with the win-stay rate(r=0.450, 0.398, P<0.01). ConclusionPatients with depressive disorder are more likely to change their decision-making strategies following negative outcomes. Furthermore, the severity of depressive and anxiety symptoms is associated with a greater propensity to maintain existing decisions after receiving positive feedback. [Funded by 2019 Joint Project of Luzhou Science and Technology Bureau-Southwest Medical University (number, 2019LZXNYDJ39]
4.Rapid Identification of Different Parts of Nardostachys jatamansi Based on HS-SPME-GC-MS and Ultra-fast Gas Phase Electronic Nose
Tao WANG ; Xiaoqin ZHAO ; Yang WEN ; Momeimei QU ; Min LI ; Jing WEI ; Xiaoming BAO ; Ying LI ; Yuan LIU ; Xiao LUO ; Wenbing LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):182-191
ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi, so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GC-MS) combined with Smart aroma database and National Institute of Standards and Technology(NIST) database were used to characterize the aroma components in different parts of N. jatamansi, and the aroma components were quantified according to relative response factor(RRF) and three internal standards, and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis(OPLS-DA) and cluster thermal analysis based on variable importance in the projection(VIP) value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose, and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data, and the rapid identification model of different parts of N. jatamansi was established by principal component analysis(PCA), discriminant factor alysis(DFA), soft independent modeling of class analogies(SIMCA) and statistical quality control analysis(SQCA). ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi, of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components, the contents of five components(ethyl isovalerate, 2-pentylfuran, benzyl alcohol, nonanal and glacial acetic acid,) in the aboveground part of N. jatamansi were significantly higher than those in the underground part(P<0.01), the contents of β-ionone, patchouli alcohol, α-caryophyllene, linalyl butyrate, valencene, 1,8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part(P<0.01). Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82, and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted, respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%, the validation score of the SIMCA model for discrimination of the two parts was 99, and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose(PCA, DFA, SIMCA and SQCA) can realize the rapid identification of different parts of N. jatamansi. Combining the two results, it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.
5.A prediction model for high-risk cardiovascular disease among residents aged 35 to 75 years
ZHOU Guoying ; XING Lili ; SU Ying ; LIU Hongjie ; LIU He ; WANG Di ; XUE Jinfeng ; DAI Wei ; WANG Jing ; YANG Xinghua
Journal of Preventive Medicine 2025;37(1):12-16
Objective:
To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures.
Methods:
Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve.
Results:
A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination.
Conclusion
The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.
6.Impact of childhood maltreatment and sleep quality on depressive symptoms among middle school students
Chinese Journal of School Health 2025;46(1):73-77
Objective:
To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students.
Methods:
From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models.
Results:
The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49,95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99,95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49,95% CI =14.22~35.59, P <0.01).
Conclusion
Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.
7.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.
8.Cloning, subcellular localization and expression analysis of SmIAA7 gene from Salvia miltiorrhiza
Yu-ying HUANG ; Ying CHEN ; Bao-wei WANG ; Fan-yuan GUAN ; Yu-yan ZHENG ; Jing FAN ; Jin-ling WANG ; Xiu-hua HU ; Xiao-hui WANG
Acta Pharmaceutica Sinica 2025;60(2):514-525
The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified
9.The effect of rutaecarpine on improving fatty liver and osteoporosis in MAFLD mice
Yu-hao ZHANG ; Yi-ning LI ; Xin-hai JIANG ; Wei-zhi WANG ; Shun-wang LI ; Ren SHENG ; Li-juan LEI ; Yu-yan ZHANG ; Jing-rui WANG ; Xin-wei WEI ; Yan-ni XU ; Yan LIN ; Lin TANG ; Shu-yi SI
Acta Pharmaceutica Sinica 2025;60(1):141-149
Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg-1) and a high dose (15 mg·kg-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D303)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.
10.Clinical Safety Monitoring of 3 035 Cases of Juvenile Feilike Mixture After Marketing in Hospital
Jian ZHU ; Zhong WANG ; Jing LIU ; Jun LIU ; Wei YANG ; Yanan YU ; Hongli WU ; Sha ZHOU ; Zhiyu PAN ; Guang WU ; Mengmeng WU ; Zhiwei JING
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):194-200
ObjectiveTo explore the clinical safety of Feilike Mixture (FLK) in the real world. MethodsThe safety of all children who received FLK from 29 institutions in 12 provinces between January 21,2021 and December 25,2021 was evaluated through prospective centralized surveillance and a nested case control study. ResultsA total of 3 035 juveniles were included. There were 29 research centers involved,which are distributed across 12 provinces,including one traditional Chinese medicine (TCM) hospital and 28 general hospitals. The average age among the juveniles was (4.77±3.56) years old,and the average weight was (21.81±12.97) kg. Among them,119 cases (3.92%) of juveniles had a history of allergies. Acute bronchitis was the main diagnosis for juveniles,with 1 656 cases (54.46%). FLK was first used in 2 016 cases (66.43%),and 142 juvenile patients had special dosages,accounting for 4.68%. Among them,92 adverse drug reactions (ADRs) occurred,including 73 cases of gastrointestinal system disorders,10 cases of metabolic and nutritional disorders,eight cases of skin and subcutaneous tissue diseases,two cases of vascular and lymphatic disorders,and one case of systemic diseases and various reactions at the administration site. The manifestations of ADRs were mainly diarrhea,stool discoloration,and vomiting,and no serious ADRs occurred. The results of multi-factor analysis indicated that special dosages (the use of FLK)[odds ratio (OR) of 2.642, 95% confidence interval (CI) of 1.105-6.323],combined administration: spleen aminopeptide (OR of 4.978, 95%CI of 1.200-20.655),and reason for combined administration: anti-infection (OR of 1.814, 95%CI of 1.071-3.075) were the risk factors for ADRs caused by FLK. Conclusion92 ADRs occurred among 3 035 juveniles using FLK. The incidence of ADRs caused by FLK was 3.03%,and the severity was mainly mild or moderate. Generally,the prognosis was favorable after symptomatic treatment such as drug withdrawal or dosage reduction,suggesting that FLK has good clinical safety.


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