1.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
2.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
3.Current Status,Strategies and Prospects of Traditional Chinese Medicine Diagnosis and Treatment for Irritable Bowel Syndrome
Yandong WEN ; Zhi YANG ; Shaogang HUANG ; Zhongyu LI ; Xiangxue MA ; Qing XU ; Liqing DU ; Bochao YUAN ; Yibing TIAN ; Wentong GE ; Xiaofan ZHAO ; Chang LIU ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(4):404-409
Irritable bowel syndrome (IBS) is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years, traditional Chinese medicine (TCM) has made progress in multiple aspects of IBS research and treatment, including syndrome distribution, development of TCM formulas, clinical efficacy evaluation, external therapies, and psychosocial regulation. However, it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria, and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment, combining TCM external therapies such as acupuncture, moxibustion and acupoint application), and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies, artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas, so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.
4.Introduction and enlightenment of the Recommendations and Expert Consensus for Plasma and Platelet Transfusion Strategies in Critically Ill Children Following Severe Trauma, Traumatic Brain Injury, and/or Intracranial Hemorrhage: From the Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding
Zhenzhen JIANG ; Rong GUI ; Rong HUANG ; Junhua ZHANG ; Jiaohui ZENG ; Hao TANG ; Zhi LIN ; Dan WAN ; Mingyi ZHAO ; Minghua YANG ; Lan GU ; Haiting LIU
Chinese Journal of Blood Transfusion 2026;39(2):285-293
Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.
5.Analysis of Risk Factors and Establishment of Prediction Model for Turbidity Toxicity Accumulation Syndrome in Patients with Chronic Atrophic Gastritis
Yican WANG ; Chenggong ZHAO ; Pengli DU ; Jie WANG ; Yuxi GUO ; Haiyan BAI ; Yongli HUO ; Xiaomeng LANG ; Zheng ZHI ; Bolin LI ; Jianping LIU ; Yanru CAI ; Jianming JIANG ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):288-295
ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis (CAG) with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching, patients were divided into a training set (namely dev) and a validation set (namely vad) in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator (namely Lasso) regression algorithms. Subsequently, a model, named model 1se, was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods, including the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test (H-L), calibration plot, and decision curve analysis (DCA). ResultsAge, body mass index (BMI), family history of cancer, job and life satisfaction, yellow and greasy fur with slippery pulse, and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration, which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.
6.Analysis of Risk Factors and Establishment of Prediction Model for Turbidity Toxicity Accumulation Syndrome in Patients with Chronic Atrophic Gastritis
Yican WANG ; Chenggong ZHAO ; Pengli DU ; Jie WANG ; Yuxi GUO ; Haiyan BAI ; Yongli HUO ; Xiaomeng LANG ; Zheng ZHI ; Bolin LI ; Jianping LIU ; Yanru CAI ; Jianming JIANG ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):288-295
ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis (CAG) with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching, patients were divided into a training set (namely dev) and a validation set (namely vad) in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator (namely Lasso) regression algorithms. Subsequently, a model, named model 1se, was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods, including the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test (H-L), calibration plot, and decision curve analysis (DCA). ResultsAge, body mass index (BMI), family history of cancer, job and life satisfaction, yellow and greasy fur with slippery pulse, and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration, which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.
7.Analysis of disease burden for bipolar disorder in Chinese adolescents aged 10-24 years and trend prediction
ZHAO Zihe, ZHU Jiawen, HUANG Qianling, ZENG Zhi
Chinese Journal of School Health 2025;46(2):266-271
Objective:
To analyze the burden of bipolar disorder among adolescents aged 10-24 in China from 1990 to 2021 and its trend of change, so as to provide theoretical basis for the prevention and treatment of bipolar disorder.
Methods:
The latest data from the Global Burden of Disease (GBD) database in 2021 were selected. The Joinpoint regression model, age-period-cohort (APC) model, and bayesian age-period-cohort (BAPC) model were used to analyze and predict indicators such as the age standardized incidence rate and age standardized disability adjusted life year (DALY) rate of bipolar disorder among Chinese adolescents, and the average annual percent change (AAPC) was calculated.
Results:
From 1990 to 2021, the overall age standardized incidence rate (1990:22.92/100 000, 2021:23.17/100 000) showed an upward trend ( AAPC=0.03, t=8.20, P <0.01) and change trend of age standardized DALY rate (1990:33.61/100 000, 2021:33.76/100 000) was relatively flat ( AAPC=0.01, t= 0.99 , P =0.32). From 1990 to 2021, age standardized incidence rate and age standardized DALY rate of girls were higher than boys ( χ 2=16.38, P <0.01). The net drift values for the incidence rate and DALY rate of bipolar disorder among Chinese adolescents aged 10-24 years were -0.23% and -0.22%, respectively. The highest incidence rate of bipolar disorder among Chinese adolescents aged 10-24 years was observed in the 15-19 age group, with a rate of 33.14/100 000; the highest DALY risk was in the 20- 24 age group, with a rate of 57.26/100 000. The lowest incidence risk and DALY risk RR values for bipolar disorder among Chinese adolescents aged 10-24 years were observed in 2017-2021, with RR values of 0.99 (95% CI =0.97-1.00) and 0.98 (95% CI = 0.97- 0.99), respectively ( P <0.05). Similarly, the lowest incidence risk and DALY risk RR values for this age group were observed in the 2000-2004 birth cohort, both of which were 0.86 (95% CI =0.84-0.87) ( P <0.05). It was projected that the overall age standardized incidence rate and age standardized DALY rate of bipolar disorder among Chinese adolescents aged 10-24 years will continue to increase from 2022 to 2031, reaching 24.10/100 000 and 34.90/100 000, respectively, by 2031.
Conclusions
From 1990 to 2021, both the age standardized incidence rate and age standardized DALY rate of bipolar disorder among Chinese adolescents shows an upward trend. Special attention should be given to female adolescents, with a focus on controlling the age standardized incidence rate of bipolar disorder among 15-19 year-old adolescents and the age standardized DALY rate among 20-24 year-old ones. Efforts should be enhanced to increase awareness and screening for bipolar disorder among adolescents.
8.Visual feature extraction combining dissolution testing for the study of drug release behavior of gliclazide modified release tablets
Si-yu CHEN ; Ze-ya LI ; Ping LI ; Xin-qing ZHAO ; Tao GONG ; Li DENG ; Zhi-rong ZHANG
Acta Pharmaceutica Sinica 2025;60(1):225-231
Oral solid dosage forms require processes such as disintegration and dissolution to release the drug before it can be absorbed and utilized by the body. In this manuscript, imaging technology was used to continuously visualize and characterize the
9.An alkyne and two phenylpropanoid derivants from Carthamus tinctorius L.
Lin-qing QIAO ; Ge-ge XIA ; Ying-jie LI ; Wen-xuan ZHAO ; Yan-zhi WANG
Acta Pharmaceutica Sinica 2025;60(1):185-190
The chemical constituents from the
10.A new glycoside from Alstonia mairei Lévl.
Li-ke WANG ; Bing-yan LI ; Zhen-zhu ZHAO ; Yan-zhi WANG ; Xiao-kun LI ; Wei-sheng FENG ; Ying-ying SI
Acta Pharmaceutica Sinica 2025;60(1):191-195
Nine compounds were isolated and purified from 90% ethanol extract of


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