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.Brain Aperiodic Dynamics
Zhi-Cai HU ; Zhen ZHANG ; Jiang WANG ; Gui-Ping LI ; Shan LIU ; Hai-Tao YU
Progress in Biochemistry and Biophysics 2025;52(1):99-118
Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.
4.Interpretation of 2024 ESC guidelines for the management of elevated blood pressure and hypertension
Yu CHENG ; Yiheng ZHOU ; Yao LÜ ; ; Dongze LI ; Lidi LIU ; Peng ZHANG ; Rong YANG ; Yu JIA ; Rui ZENG ; Zhi WAN ; Xiaoyang LIAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(01):31-40
The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."
5.Four new sesquiterpenoids from the roots of Atractylodes macrocephala
Gang-gang ZHOU ; Jia-jia LIU ; Ji-qiong WANG ; Hui LIU ; Zhi-Hua LIAO ; Guo-wei WANG ; Min CHEN ; Fan-cheng MENG
Acta Pharmaceutica Sinica 2025;60(1):179-184
The chemical constituents in dried roots of
6.Hippocampal neuroinflammation and neuronal injury in the acute phase of pentylenetetrazol induced epilepsy mouse model
Linyu ZHI ; Wanruo HAN ; WANG BENJAMIN HONGYE ; Guoxiang WANG ; Xu LIU
Chinese Journal of Clinical Medicine 2025;32(2):238-247
Objective To investigate the activation of microglia and astrocytes, the secretion of pro-inflammatory factors, and the survival of neurons in the hippocampus of mice with acute seizures induced by pentylenetetrazol (PTZ) 24 hours after the onset of seizures. Methods Adult male C57BL/6 mice were randomly assigned to the control group and the PTZ-induced acute epileptic seizure group using random numbers, with 28 mice in each group. The activation status of microglia and astrocytes in the CA1 region of the hippocampus was evaluated by immunofluorescence 24 hours after the onset of seizures. RNA was extracted from the hippocampal tissue to detect the expression level of inflammatory factor mRNA, and HE staining was used to assess the survival of neurons in the hippocampus. Results Twenty-four hours after PTZ-induced acute seizures in mice, the numbers of activated Iba1+ microglia (55.72±4.29 vs 35.71±9.66, P<0.001) and GFAP+ astrocytes (51.61±8.21 vs 37.64±5.27, P<0.01) in the CA1 region were significantly increased compared with the control group; the proportion of M1 microglia was significantly increased (0.58±0.02 vs 0.35±0.08, P<
7.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.
8.Huazhuo Jiedu Prescription Treats Ulcerative Colitis by Inhibiting Excessive Mitophagy via PINK1/Parkin Signaling Pathway
Haofeng ZHANG ; Jinye ZHOU ; Ziwei LIU ; Yican WANG ; Yirui CHENG ; Zheng ZHI ; Qian YANG ; Bolin LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):182-189
ObjectiveTo investigate the mechanism of Huazhuo Jiedu prescription in treating ulcerative colitis (UC) by regulating mitophagy. MethodsThe genes related to mitophagy and UC were retrieved from GeneCards, and then the common genes of mitophagy and UC were analyzed by metascape to identify the genes related to mitophagy in UC. Animal experiments were carried out to decipher the mechanism by which Huazhuo Jiedu prescription treated UC by regulating mitophagy. Sixty C57BL/6 male mice were randomized into normal, model, high-, medium-, and low-dose (50, 25, 12.5 g·kg-1, respectively) Huazhuo Jiedu prescription, and mesalazine (0.52 g·kg-1·d-1) groups, with 10 mice in each group. After successful modeling by the dextran sulfate sodium-free drinking method, the colonic mucosal damage was observed by hematoxylin-eosin staining, and the ultracellular structure of colon mucosa was observed by transmission electron microscopy. The expression levels of mitophagy-related proteins PTEN-induced putative kinase 1 (PINK1) and Parkin protein were determined by Western blot. The expression of prohibitin 2 (PHB2), ubiquitin-specific protease 15 (USP15), ubiquitin-specific protease 30 (USP30) in the colon tissue was detected by immunofluorescence (IF). ResultsAll the drug intervention groups showed ameliorated pathological manifestations of the colonic mucosa and improved mitochondrial structures in UC mice. Compared with the normal group, the model group demonstrated up-regulated protein levels of PINK1 and Parkin (P<0.05), enhanced average fluorescence intensity of PHB2 (P<0.05), and weakened average fluorescence intensity of USP15 and USP30 (P<0.05). Compared with the model group, the mesalazine group and the high- and medium-dose Huazhuo Jiedu prescription groups showcased down-regulated protein levels of PINK1 and Parkin (P<0.05), decreased average fluorescence intensity of PHB2 (P<0.05), and enhanced average fluorescence intensity of USP15 and USP30 (P<0.05). The low-dose Huazhuo Jiedu prescription group showed down-regulated protein levels of PINK1 and Parkin (P<0.05), weakened average fluorescence intensity of PHB2 (P<0.05), and enhanced average fluorescence intensity of USP15 and USP30 (P<0.05). ConclusionHuazhuo Jiedu prescription can attenuate the intestinal mucosal injury and improve the mitochondrial cell ultrastructure in UC mice by regulating the expression of PINK1-Parkin pathway and inhibiting excessive mitophagy.
9.Huazhuo Jiedu Prescription Treats Ulcerative Colitis by Inhibiting Excessive Mitophagy via PINK1/Parkin Signaling Pathway
Haofeng ZHANG ; Jinye ZHOU ; Ziwei LIU ; Yican WANG ; Yirui CHENG ; Zheng ZHI ; Qian YANG ; Bolin LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):182-189
ObjectiveTo investigate the mechanism of Huazhuo Jiedu prescription in treating ulcerative colitis (UC) by regulating mitophagy. MethodsThe genes related to mitophagy and UC were retrieved from GeneCards, and then the common genes of mitophagy and UC were analyzed by metascape to identify the genes related to mitophagy in UC. Animal experiments were carried out to decipher the mechanism by which Huazhuo Jiedu prescription treated UC by regulating mitophagy. Sixty C57BL/6 male mice were randomized into normal, model, high-, medium-, and low-dose (50, 25, 12.5 g·kg-1, respectively) Huazhuo Jiedu prescription, and mesalazine (0.52 g·kg-1·d-1) groups, with 10 mice in each group. After successful modeling by the dextran sulfate sodium-free drinking method, the colonic mucosal damage was observed by hematoxylin-eosin staining, and the ultracellular structure of colon mucosa was observed by transmission electron microscopy. The expression levels of mitophagy-related proteins PTEN-induced putative kinase 1 (PINK1) and Parkin protein were determined by Western blot. The expression of prohibitin 2 (PHB2), ubiquitin-specific protease 15 (USP15), ubiquitin-specific protease 30 (USP30) in the colon tissue was detected by immunofluorescence (IF). ResultsAll the drug intervention groups showed ameliorated pathological manifestations of the colonic mucosa and improved mitochondrial structures in UC mice. Compared with the normal group, the model group demonstrated up-regulated protein levels of PINK1 and Parkin (P<0.05), enhanced average fluorescence intensity of PHB2 (P<0.05), and weakened average fluorescence intensity of USP15 and USP30 (P<0.05). Compared with the model group, the mesalazine group and the high- and medium-dose Huazhuo Jiedu prescription groups showcased down-regulated protein levels of PINK1 and Parkin (P<0.05), decreased average fluorescence intensity of PHB2 (P<0.05), and enhanced average fluorescence intensity of USP15 and USP30 (P<0.05). The low-dose Huazhuo Jiedu prescription group showed down-regulated protein levels of PINK1 and Parkin (P<0.05), weakened average fluorescence intensity of PHB2 (P<0.05), and enhanced average fluorescence intensity of USP15 and USP30 (P<0.05). ConclusionHuazhuo Jiedu prescription can attenuate the intestinal mucosal injury and improve the mitochondrial cell ultrastructure in UC mice by regulating the expression of PINK1-Parkin pathway and inhibiting excessive mitophagy.
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.

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