1.Material Basis of Anti-Inflammatory Efficacy and Mechanism of Action of Bushen Tongdu Prescription Based on UPLC-LTQ-Orbitrap-MS and Network Pharmacology
Yan RONG ; Lulu JING ; Hongping HOU ; Huijun WANG ; Lihua CHEN ; Yunxin CHEN ; Liang LI ; Li LIN ; Xiaoqin LUO ; Haiyu ZHAO ; Xiaolu WEI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):152-161
ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription (BSTDP). MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry (UPLC-LIT-Orbitrap-MS). Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction (PPI) network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg (mpx: GFP). At three days post-fertilization (3 dpf), larvae of zebrafish were randomly assigned to blank group, model group, positive drug dexamethasone acetate group (75 μmol·L-1), and BSTDP groups with low, medium, and high doses (500, 1 000, and 2 000 mg·L-1). The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear factor kappa-B (NF-κB) signaling pathway and inflammatory factors including interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) were detected by Real-time quantitative polymerase chain reaction (Real-time PCR). ResultsA total of 120 chemical components were identified in BSTDP, among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis (RA) and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine, vomicine, sinapine, rehmannioside, cinnamyl alcohol glycoside, and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 (Akt1), signal transducer and activator of transcription 3 (STAT3), tumor necrosis factor (TNF), TLR4, mitogen-activated protein kinase 14 (MAPK14), and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α (PIK3CA), thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L-1. Compared to those in the blank group, zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region (P<0.01) and rising mRNA levels of TLR4, MyD88, NF-κB, TNF-α, IL-6, and IL-1β (P<0.01). Compared to that in the model group, the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses, as well as the dexamethasone acetate group (P<0.05, P<0.01). There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4, MyD88, NF-κB, TNF-α, IL-6, and IL-1β were significantly down-regulated (P<0.05, P<0.01). ConclusionThis paper identifies the material basis of the efficacy of BSTDP, demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.
2.Construction of A Conceptual Framework for the Integration of Traditional Chinese and Western Medicine in Evolutionary Syndrome Differentiation and Treatment Across Full-cycle of Parkinson's Disease
Yu WANG ; Jianing MEI ; Hongping ZHAO ; Yunzhe TANG ; Zijun WEI ; Qinliang TAO ; Xueyi HAN ; Jiyuan HU ; Yunyun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):270-279
Parkinson's disease (PD) is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD,it is urgent to establish a comprehensive and long-term traditional Chinese medicine (TCM) management model. In this paper,the conceptual framework of full-cycle management of PD is preliminarily constructed:based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD,the three-stage syndrome characteristics of the prodromal stage (predominant healthy Qi with subtle pathogenic factors),the early clinical stage (declining healthy Qi with growing pathogenic factors) and the middle and late stages (overwhelming pathogenic factors with deficient healthy Qi) are longitudinally described. Through the syndrome differentiation of visceral manifestations,the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed,while the matching treatment methods and prescriptions were inferred,and the modular scheme of the combining main symptoms,accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications ('variable syndrome') and PD-related hyperpyrexia syndrome ('critical syndrome') was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion,and provides new theories and research ideas for individualized and whole-process management of PD in TCM.
3.Material Basis of Anti-Inflammatory Efficacy and Mechanism of Action of Bushen Tongdu Prescription Based on UPLC-LTQ-Orbitrap-MS and Network Pharmacology
Yan RONG ; Lulu JING ; Hongping HOU ; Huijun WANG ; Lihua CHEN ; Yunxin CHEN ; Liang LI ; Li LIN ; Xiaoqin LUO ; Haiyu ZHAO ; Xiaolu WEI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):152-161
ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription (BSTDP). MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry (UPLC-LIT-Orbitrap-MS). Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction (PPI) network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg (mpx: GFP). At three days post-fertilization (3 dpf), larvae of zebrafish were randomly assigned to blank group, model group, positive drug dexamethasone acetate group (75 μmol·L-1), and BSTDP groups with low, medium, and high doses (500, 1 000, and 2 000 mg·L-1). The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear factor kappa-B (NF-κB) signaling pathway and inflammatory factors including interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) were detected by Real-time quantitative polymerase chain reaction (Real-time PCR). ResultsA total of 120 chemical components were identified in BSTDP, among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis (RA) and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine, vomicine, sinapine, rehmannioside, cinnamyl alcohol glycoside, and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 (Akt1), signal transducer and activator of transcription 3 (STAT3), tumor necrosis factor (TNF), TLR4, mitogen-activated protein kinase 14 (MAPK14), and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α (PIK3CA), thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L-1. Compared to those in the blank group, zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region (P<0.01) and rising mRNA levels of TLR4, MyD88, NF-κB, TNF-α, IL-6, and IL-1β (P<0.01). Compared to that in the model group, the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses, as well as the dexamethasone acetate group (P<0.05, P<0.01). There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4, MyD88, NF-κB, TNF-α, IL-6, and IL-1β were significantly down-regulated (P<0.05, P<0.01). ConclusionThis paper identifies the material basis of the efficacy of BSTDP, demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.
4.Construction of A Conceptual Framework for the Integration of Traditional Chinese and Western Medicine in Evolutionary Syndrome Differentiation and Treatment Across Full-cycle of Parkinson's Disease
Yu WANG ; Jianing MEI ; Hongping ZHAO ; Yunzhe TANG ; Zijun WEI ; Qinliang TAO ; Xueyi HAN ; Jiyuan HU ; Yunyun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):270-279
Parkinson's disease (PD) is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD,it is urgent to establish a comprehensive and long-term traditional Chinese medicine (TCM) management model. In this paper,the conceptual framework of full-cycle management of PD is preliminarily constructed:based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD,the three-stage syndrome characteristics of the prodromal stage (predominant healthy Qi with subtle pathogenic factors),the early clinical stage (declining healthy Qi with growing pathogenic factors) and the middle and late stages (overwhelming pathogenic factors with deficient healthy Qi) are longitudinally described. Through the syndrome differentiation of visceral manifestations,the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed,while the matching treatment methods and prescriptions were inferred,and the modular scheme of the combining main symptoms,accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications ('variable syndrome') and PD-related hyperpyrexia syndrome ('critical syndrome') was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion,and provides new theories and research ideas for individualized and whole-process management of PD in TCM.
5.Analysis of Common Causes of Out-of-Specification Results in the Test for Depressor Substances
Xiyang TONG ; Changtian QUE ; Feng ZHANG ; Lu ZHAO ; Hongping WANG
Laboratory Animal and Comparative Medicine 2025;45(3):331-339
According to General Chapter 1145 of Division IV in the Chinese Pharmacopoeia (2020 Edition), the test for depressor substances is a common method for drug testing. It determines whether the level of depressor substances in a test sample complies with the specified standards by comparing the extent of blood pressure reduction in anesthetized cats induced by the histamine reference substance and the test sample. If an out-of-specification (OOS) result occurs in the test for depressor substances, it may be caused by inherent quality issues of the drug or errors in the testing process. Therefore, analyzing the causes of OOS is particularly important for confirming the test results and evaluating drug quality. Cats are used as experimental animals in the test for depressor substances. Compared with conventional laboratory animals, they are less stable, surgery procedures are more challenging, and the testing process is more complex. These factors make it more difficult to investigate the causes of OOS in this test. Based on a review of the literature and practical work experience, this article analyzes the causes of OOS in the test for depressor substances from the following five aspects: (1) an analysis of the impact of drug standards on OOS from three aspects: standard determination, standard content, and standard drafting; (2) personnel qualifications, including pre-employment training, compliance with standard operating procedures during experimental operations, and the ability to operate instruments; (3) factors related to cats, used as experimental animals in the test for depressor substances, including physiological characteristics, genetic background, and abnormal conditions during the experiment; (4) reference substances, reagents, test samples, and key instruments such as the multi-channel physiological signal instrument; (5) experimental operations including animal anesthesia, arterial and venous catheterization, drug administration, and data processing. This article aims to provide reference approaches for professionals engaged in the testing of pharmaceuticals and biological products when analyzing the causes of OOS in the test for depressor substances.
6.Analysis of Common Causes of Out-of-Specification Results in the Test for Depressor Substances
Xiyang TONG ; Changtian QUE ; Feng ZHANG ; Lu ZHAO ; Hongping WANG
Laboratory Animal and Comparative Medicine 2025;45(3):331-339
According to General Chapter 1145 of Division IV in the Chinese Pharmacopoeia (2020 Edition), the test for depressor substances is a common method for drug testing. It determines whether the level of depressor substances in a test sample complies with the specified standards by comparing the extent of blood pressure reduction in anesthetized cats induced by the histamine reference substance and the test sample. If an out-of-specification (OOS) result occurs in the test for depressor substances, it may be caused by inherent quality issues of the drug or errors in the testing process. Therefore, analyzing the causes of OOS is particularly important for confirming the test results and evaluating drug quality. Cats are used as experimental animals in the test for depressor substances. Compared with conventional laboratory animals, they are less stable, surgery procedures are more challenging, and the testing process is more complex. These factors make it more difficult to investigate the causes of OOS in this test. Based on a review of the literature and practical work experience, this article analyzes the causes of OOS in the test for depressor substances from the following five aspects: (1) an analysis of the impact of drug standards on OOS from three aspects: standard determination, standard content, and standard drafting; (2) personnel qualifications, including pre-employment training, compliance with standard operating procedures during experimental operations, and the ability to operate instruments; (3) factors related to cats, used as experimental animals in the test for depressor substances, including physiological characteristics, genetic background, and abnormal conditions during the experiment; (4) reference substances, reagents, test samples, and key instruments such as the multi-channel physiological signal instrument; (5) experimental operations including animal anesthesia, arterial and venous catheterization, drug administration, and data processing. This article aims to provide reference approaches for professionals engaged in the testing of pharmaceuticals and biological products when analyzing the causes of OOS in the test for depressor substances.
7.Discovery of a novel AhR-CYP1A1 axis activator for mitigating inflammatory diseases using an in situ functional imaging assay.
Feng ZHANG ; Bei ZHAO ; Yufan FAN ; Lanhui QIN ; Jinhui SHI ; Lin CHEN ; Leizhi XU ; Xudong JIN ; Mengru SUN ; Hongping DENG ; Hairong ZENG ; Zhangping XIAO ; Xin YANG ; Guangbo GE
Acta Pharmaceutica Sinica B 2025;15(1):508-525
The aryl hydrocarbon receptor (AhR) plays a crucial role in regulating many physiological processes. Activating the AhR-CYP1A1 axis has emerged as a novel therapeutic strategy against various inflammatory diseases. Here, a practical in situ cell-based fluorometric assay was constructed to screen AhR-CYP1A1 axis modulators, via functional sensing of CYP1A1 activities in live cells. Firstly, a cell-permeable, isoform-specific enzyme-activable fluorogenic substrate for CYP1A1 was rationally constructed for in-situ visualizing the dynamic changes of CYP1A1 function in living systems, which was subsequently used for discovering the efficacious modulators of the AhR-CYP1A1 axis. Following screening of a compound library, LAC-7 was identified as an efficacious activator of the AhR-CYP1A1 axis, which dose-dependently up-regulated the expression levels of both CYP1A1 and AhR in multiple cell lines. LAC-7 also suppressed macrophage M1 polarization and reduced the levels of inflammatory factors in LPS-induced bone marrow-derived macrophages. Animal tests showed that LAC-7 could significantly mitigate DSS-induced ulcerative colitis and LPS-induced acute lung injury in mice, and markedly reduced the levels of multiple inflammatory factors. Collectively, an optimized fluorometric cell-based assay was devised for in situ functional imaging of CYP1A1 activities in living systems, which strongly facilitated the discovery of efficacious modulators of the AhR-CYP1A1 axis as novel anti-inflammatory agents.
8.druglikeFilter 1.0: An AI powered filter for collectively measuring the drug-likeness of compounds.
Minjie MOU ; Yintao ZHANG ; Yuntao QIAN ; Zhimeng ZHOU ; Yang LIAO ; Tianle NIU ; Wei HU ; Yuanhao CHEN ; Ruoyu JIANG ; Hongping ZHAO ; Haibin DAI ; Yang ZHANG ; Tingting FU
Journal of Pharmaceutical Analysis 2025;15(6):101298-101298
Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.
9.A preliminary study on horizontal sound localization in patients with unilateral sudden hearing loss during the acute phase
Mengyuan ZHU ; Xiaolin HE ; Jiaying LI ; Xing WANG ; Hongping DING ; Linan DIAO ; Xin FU ; Jiaxing LIU ; Zihui ZHAO ; Ningyu WANG ; Juan ZHANG
Chinese Archives of Otolaryngology-Head and Neck Surgery 2025;32(5):288-293
OBJECTIVE To preliminarily assess the horizontal sound localization and its influencing factors in patients with unilateral sudden sensorineural hearing loss during the acute phase.METHODS The azimuth discrimination test and azimuth identification test were completed,with the speech sound(65 dB SPL)as the stimulus.The minimum audible angle(MAA)and root-mean-square error(RMSE)were obtained,and the RMSE of the affected side and the healthy side were calculated respectively.According to the WHO(2021)hearing loss classification criteria,the data were analyzed based on the pure-tone average(PTA)of the affected ear.And the best resident hearing at each frequency of the affected ear was recorded.RESULTS The performance of the unilateral sudden sensorineural hearing loss patients in the sound localization varied greatly.Some performed close to the normal level,while others completely lost the ability to localize sound.The RMSE of the moderate hearing loss group(≥35 dB HL)was significantly higher than that of the normal hearing group(P<0.01),the MAA of the moderate to severe hearing loss group(≥50 dB HL)showed statistically significant differencescompared with normal hearing group(P<0.001).The RMSE of the affected side of patients in the severe and above hearing loss group was significantly larger than that of the healthy side.Regression analysis showed that the best resident hearing at each frequency of the affected ear was the most significant factor affecting MAA(R2=0.572,P<0.001)and RMSE(R2=0.768,P<0.001).CONCLUSION The horizontal sound localization of unilateral sudden sensorineural hearing loss patients in the acute phase varies greatly.When the PTA of the affected side reaches moderate hearing loss,the localization ability is significantly lower than that of normal-hearing individuals.The best resident hearing at each frequency of the affected ear is the key factor affecting the localization ability.
10.druglikeFilter 1.0:An AI powered filter for collectively measuring the drug-likeness of compounds
Minjie MOU ; Yintao ZHANG ; Yuntao QIAN ; Zhimeng ZHOU ; Yang LIAO ; Tianle NIU ; Wei HU ; Yuanhao CHEN ; Ruoyu JIANG ; Hongping ZHAO ; Haibin DAI ; Yang ZHANG ; Tingting FU
Journal of Pharmaceutical Analysis 2025;15(6):1370-1377
Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

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