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.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.
4.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
5.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
6.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
7.Two new glycosides from the Citri Sarcodactylis Fructus
Jing-jing MIAO ; Ge-ge XIA ; Ge-ge ZHAO ; Yu-zhong ZHENG ; Yan-zhi WANG
Acta Pharmaceutica Sinica 2025;60(1):196-200
Six compounds were isolated from the ethyl acetate fraction of
8.Clinical and contrast-enhanced ultrasonographic characteristics of peripheral lung masses in patients infected with human immunodeficiency virus
Lei ZHAO ; Jingjing HUANG ; Xin MA ; Xia SHI ; Dou WU ; Zhi ZHANG ; Fengxiang SONG ; Jianjian LIU
Chinese Journal of Clinical Medicine 2025;32(2):276-282
Objective To evaluate the clinical characteristics of human immunodeficiency virus (HIV) infected patients with peripheral lung masses (PLMs), and to assess the diagnostic utility of contrast-enhanced ultrasound (CEUS) in differentiating benign and malignant PLMs. Methods A retrospective analysis was performed on the clinical data of 69 patients with PLM treated in Shanghai Public Health Clinical Center from January 2020 to December 2023. All patients underwent percutaneous biopsy, and were categorized into benign group (n=36) and malignant group (n=33). 25 patients were HIV-positive and 44 patients were HIV-negative. The clinical features and CEUS parameters in patients were compared across these groups. Results Patients with malignant masses were significantly older than those with benign masses (P<0.05). In the malignant group, HIV-negative patients exhibited significantly larger tumor diameters compared to HIV-positive patients (P<0.05); in the HIV-positive patients, no significant difference in tumor size was observed between benign and malignant masses. 19 patients underwent CEUS. 10 malignant masses, irrespective of HIV status (10 positive and 9 negative), commonly presented with indistinct margins, delayed enhancement, heterogeneous perfusion, and delayed peak enhancement on CEUS. 9 benign masses showed earlier peak enhancement compared to 10 malignant masses (P<0.05); no significant differences were observed in the initiation and washout time of enhancement between benign and malignant masses. In HIV-positive patients, 5 benign masses frequently demonstrated discrepancies between CEUS findings and pathological results. Conclusions The clinical and CEUS characteristics were different between benign and malignant PLMs. However, CEUS shows limited accuracy in distinguishing benign and malignant PLMs, underscoring the need for pathological confirmation.
9.Introduction and enlightenment of the Recommendations and Expert Consensus for Plasm a and Platelet Transfusion Practice in Critically ill Children: from the Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding (TAXI-CAB)
Lu LU ; Jiaohui ZENG ; Hao TANG ; Lan GU ; Junhua ZHANG ; Zhi LIN ; Dan WANG ; Mingyi ZHAO ; Minghua YANG ; Rong HUANG ; Rong GUI
Chinese Journal of Blood Transfusion 2025;38(4):585-594
To guide transfusion practice in critically ill children who often need plasma and platelet transfusions, the Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding (TAXI-CAB) developed Recommendations and Expert Consensus for Plasma and Platelet Transfusion Practice in Critically Ill Children. This guideline addresses 53 recommendations related to plasma and platelet transfusion in critically ill children with 8 kinds of diseases, laboratory testing, selection/treatment of plasma and platelet components, and research priorities. This paper introduces the specific methods and results of the recommendation formation of the guideline.
10.Research on BP Neural Network Method for Identifying Cell Suspension Concentration Based on GHz Electrochemical Impedance Spectroscopy
An ZHANG ; A-Long TAO ; Qi-Hang RAN ; Xia-Yi LIU ; Zhi-Long WANG ; Bo SUN ; Jia-Feng YAO ; Tong ZHAO
Progress in Biochemistry and Biophysics 2025;52(5):1302-1312
ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.


Result Analysis
Print
Save
E-mail