1.Effect Difference and Mechanisms of Zishenwan Against Chronic Prostatitis Before and After Salt-processing of Anemarrhenae Rhizoma and Phellodendri Chinensis Cortex by Integrating Network Pharmacology and Metabolomics
Shangling ZHAO ; Xiao MENG ; Sirui LI ; Rui TAN ; Changjiang HU ; Lingying YU ; Zhimin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(13):177-187
ObjectiveThis paper aims to systematically reveal the effect difference and mechanisms of Zishenwan against chronic prostatitis (CP) before and after salt-processing of Anemarrhenae rhizoma and Phellodendri chinensis cortex based on an integrated strategy of ultra-high performance liquid chromatography-quadrupole-orbitrap mass spectrometry (UPLC-Q-Orbitrap-MS/MS), network pharmacology, and serum metabolomics. MethodsZishenwan samples before and after salt-processing of Anemarrhenae rhizoma and Phellodendri chinensis cortex were extracted by alcohol-water dual extraction. The chemical components of each sample were detected by UPLC-Q-Orbitrap-MS/MS, and differential components were screened by multivariate statistical analysis. Network pharmacology analysis was performed based on the identified chemical components of Zishenwan to construct a protein-protein interaction (PPI) network of "component, target, and pathway", and the core components, targets, and pathways of Zishenwan against CP were screened. Forty-two male Sprague-Dawley (SD) rats were randomly divided into a blank group, a model group, a Qianliekang group (1.54 g·kg-1), low- and high-dose raw Zishenwan groups (1.8, 5.4 g·kg-1), and low- and high-dose salt-processed Zishenwan groups (1.8, 5.4 g·kg-1). The CP rat model was established by intraprostatic injection of carrageenan. After one week of recovery, the rats were administered the corresponding drugs for 21 days, while those in the blank group and model group received the same volume of normal saline. After the experiment, serum and tissue samples were collected to evaluate pharmacodynamic indicators including organ indices, histopathology, and inflammatory factors in serum. Subsequently, untargeted serum metabolomics technology was used to analyze metabolite changes and perform pathway enrichment analysis. The network pharmacology was used to construct a network of "differential metabolite, reaction, enzyme, and gene". ResultsA total of 76 components were identified in raw and salt-processed Zishenwan, and 34 differential components were screened by multivariate statistical analysis. Among them, the contents of 14 components, including berberine, berberrubine, and phellodendrine, increased after salt-processing, while the contents of 20 components, such as neomangiferin, decreased. The 28 active components and 185 potential targets were screened out by network pharmacology. The core components included berberine, phellodendrine, magnoflorine, and jatrorrhizine, and the core targets included signal transducer and activator of transcription 3 (STAT3), protein kinase B1 (Akt1), and transcription factor AP-1 (JUN). These targets were significantly enriched in pro-inflammatory signaling pathways such as phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) and mitogen-activated protein kinase (MAPK). Compared with the model group, all Zishenwan administration groups showed decreased prostate index, reduced levels of interleukin (IL)-1β, IL-18, and B-cell lymphoma-2 (Bcl-2) in serum (P<0.05, P<0.01), as well as varying degrees of alleviation in histopathological damage. At the same dose, compared with the raw Zishenwan groups, the salt-processed Zishenwan groups showed lower prostate index, pathological scores, and IL-1β, IL-18, and Bcl-2 levels in serum, but the differences were not statistically significant. Metabolomics reveals that 38 differential metabolites were reversed after salt-processed Zishenwan administration. Both raw and salt-processed Zishenwan regulated pathways such as β-alanine metabolism and tryptophan metabolism. In addition to the common regulated pathways, the salt-processed group specifically regulated pantothenate and coenzyme A biosynthesis, pyrimidine metabolism, and arginine and proline metabolism. The intersecting pathways between network pharmacology and metabolomics were tryptophan metabolism and arginine and proline metabolism, with overlapping targets including monoamine oxidase A (MAOA) and arginase 1 (ARG1). ConclusionThe increased contents of components such as berberine and phellodendrine in salt-processed Zishenwan may enhance its therapeutic effect on CP by inhibiting the PI3K/Akt and MAPK signaling pathways, along with multi-target regulation of tryptophan, arginine, and pantothenate metabolism pathways to comprehensively regulate inflammatory and immune responses.
2.Modified Zhujing formula combined with ranibizumab for wet age-related macular degeneration
Rui GAO ; Pineng HU ; Meijiao ZHOU ; Jian ZHANG ; Yu ZHANG ; Tiejun ZHANG ; Wujun LI
International Eye Science 2026;26(7):1141-1146
AIM:To analyze the efficacy of modified Zhujing formula combined with intravitreal ranibizumab(IVR)injection in the treatment of wet age-related macular degeneration(wARMD).METHODS: A prospective study was conducted on wARMD patients at the Ophthalmology Department of Yulin Hospital of Traditional Chinese Medicine from September 2022 to October 2024. The study subjects were divided into the experimental group and the control group according to the random number table method. The control group received IVR treatment, while the experimental group was treated with modified Zhujing formula in addition to IVR injection. The clinical efficacy, TCM symptom scores, central retinal thickness(CRT), best corrected visual acuity(BCVA), macular hemorrhage area, choroidal neovascularization area(CNV), ocular hemodynamic parameters [resistance index(RI), maximum diastolic blood flow(EDV), maximum systolic blood flow(PSV)], and 1-year recurrence rate were compared between the two groups.RESULTS: This study included 60 eyes from 60 wARMD patients. Among them, the control group consisted of 30 patients and 30 eyes, while the experimental group consisted of 30 patients and 30 eyes. The age of the control group was 67.52±3.12 y, with 17 males and 13 females. The age of the experimental group was 67.62±3.04 y, with 18 males and 12 females.The clinical efficacy of the experimental group(97%)was higher than that of the control group(73%)(P<0.05). After treatment, the scores of blurred vision, soreness and weakness of the waist and knees, restlessness and insomnia, dizziness and tinnitus in the experimental group were all lower than those in the control group(all P<0.05); the EDV and PSV in the experimental group were both higher than those in the control group(both P<0.05); the BCVA, CRT, macular hemorrhage area, CNV and RI of the experimental group were all lower than those of the control group(all P<0.05), and the 1-year recurrence rate in the experimental group(3%)was lower than that in the control group(27%)(P<0.05). CONCLUSION:The combined use of modified Zhujing formula and IVR can effectively alleviate symptoms such as blurred vision and retinal hemorrhage in wARMD patients, improve vision and ocular hemodynamic conditions, and reduce the recurrence rate. This suggests that there may be a synergistic enhancing effect.
3.TCM Syndrome Distribution Patterns and Clinical Characteristics in Patients with Chronic Hepatitis B Comorbid with Metabolically Associated Fatty Liver Disease
Dingqi LI ; Liang HUANG ; Baixue LI ; Rui ZHAO ; Zhenglong ZHENG ; Yichen PENG ; Yu LIANG ; Caiying HE ; Jingdong CUI ; Zilin XIONG ; Xiyang LIU ; Quansheng FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(14):259-270
ObjectiveThis paper aims to investigate the distribution patterns of traditional Chinese medicine syndromes in patients with chronic hepatitis B (CHB) comorbid with metabolically associated fatty liver disease (MAFLD) and analyze their correlation with clinical characteristics and the progression of liver fibrosis. MethodsA cross-sectional study method was employed, and 506 patients with CHB comorbid with MAFLD who attended the Hepatology Outpatient Department of Public Health Clinical Center of Chengdu from June 2024 to December 2024 were enrolled. General information, traditional Chinese medicine syndromes information, laboratory indicators, and imaging examination results were collected using case report forms (CRF). Tongue images of patients were acquired using a tongue diagnosis instrument, and tongue feature parameters were extracted using computer image processing technology. Frequency analysis, factor analysis, and cluster analysis, and other methods were used to explore syndrome categories and distribution patterns. Non-parametric tests were used to compare the differences in clinical characteristics among different syndromes. Univariate and multivariate logistic regression analyses were performed to investigate the correlation between traditional Chinese medicine syndromes and the progression of liver fibrosis. ResultsThe main traditional Chinese medicine syndromes in patients with CHB comorbid with MAFLD were mainly dominated by damp-heat accumulation syndrome, liver stagnation and spleen deficiency syndrome, and phlegm-blood stasis syndrome, with damp-heat accumulation syndrome accounting for the highest proportion (41.89%). Compared with those without damp-heat accumulation syndrome, patients with damp-heat accumulation syndrome had significantly lower tongue proper H value, tongue coating H value, and tongue coating a* value (P<0.05), significantly higher tongue coating b* value (P<0.05), significantly increased levels of white blood cell (WBC), red blood cell (RBC), hemoglobin (HGB), and glucose (GLU), increased CAP values (P<0.05), a higher proportion of males (P<0.05), and a younger age (P<0.05). Univariate and multivariate logistic regression analyses show that age, hepatitis B surface antigen (HBsAg), diabetes, and damp-heat accumulation syndrome are independent risk factors for liver fibrosis (P<0.05), and that damp-heat accumulation syndrome is predominantly distributed in liver fibrosis stage F0-F1. ConclusionDamp-heat accumulation syndrome is a typical syndrome in patients with CHB comorbid with MAFLD, which is significantly associated with enhanced inflammatory response, metabolic disorders, and early liver fibrosis, and is a key link in disease progression. Clinical attention and early intervention are needed.
4.Medication Rules of Professor Hua Baojin in Treatment of Subsolid Pulmonary Nodules Based on Data Mining
Huibo YU ; Yue LI ; Yue LUO ; Hongyuan LIU ; Xiyuan ZHANG ; Jiaqi HU ; Rui LIU ; Baojin HUA
Cancer Research on Prevention and Treatment 2025;52(8):682-691
Objective To explore the medication rules of Professor Hua Baojin in the treatment of subsolid pulmonary nodules through retrospective analysis and data mining techniques. Methods The prescriptions of patients with subsolid pulmonary nodules who were diagnosed and treated by Professor Hua Baojin at Guang’anmen Hospital of the Chinese Academy of Chinese Medical Sciences from January 1, 2021 to December 31, 2024 were retrospectively collected. Data were imported into the Ancient and Modern Medical Case Cloud Platform for analysis of drug frequency, four natures and five flavors, meridian tropism, drug association, and hierarchical clustering. Results A total of 455 prescriptions were included, containing 205 kinds of traditional Chinese medicines, with a total frequency of
5.Clinical Characteristics and TCM Syndrome Patterns in 721 Female Patients with Pulmonary Nodules
Yue LUO ; Yue LI ; Jiaqi HU ; Huibo YU ; Linfeng WANG ; Baojin HUA ; Rui LIU
Cancer Research on Prevention and Treatment 2025;52(9):747-757
Objective To explore the clinical information of female patients with pulmonary nodules and the distribution of traditional Chinese medicine (TCM) syndromes and their elements. Methods A cross-sectional study was conducted to collect the basic information, medical history data, image data, and four diagnostic information of female patients with pulmonary nodules. The distribution characteristics of TCM syndromes and their elements in female patients with pulmonary nodules were determined by KMO test, Bartlett spherical test, systematic cluster analysis, chi-square test, and other methods. Results A total of 721 female patients with pulmonary nodules were included in this study. The patients were mainly 45-59 years old, had secondary school education or above, and had a history of oil smoke exposure as clinical characteristics. The pulmonary nodules were mainly 6-10 mm in size and appeared as multiple and ground glass nodules. The clinical symptoms were mainly fatigue, emotional irritability, and shortness of breath. The main syndromes of disease location were the spleen, liver, and lung; and the main syndromes of disease were phlegm, dampness, and qi deficiency. The main complex syndromes were spleen deficiency and dampness, liver stagnation, and qi/yin deficiency. Conclusion Middle age, high education, and multiple small ground glass nodules are the clinical characteristics of female patients with pulmonary nodules. Exposure to oil smoke is an important cause of the occurrence of female pulmonary nodules. During treatment, attention should be paid to strengthening the spleen, removing dampness, soothing the liver, regulating and tonifying qi, and nourishing yin.
6.Prediction of Pulmonary Nodule Progression Based on Multi-modal Data Fusion of CCNet-DGNN Model
Lehua YU ; Yehui PENG ; Wei YANG ; Xinghua XIANG ; Rui LIU ; Xiongjun ZHAO ; Maolan AYIDANA ; Yue LI ; Wenyuan XU ; Min JIN ; Shaoliang PENG ; Baojin HUA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(24):135-143
ObjectiveThis study aims to develop and validate a novel multimodal predictive model, termed criss-cross network(CCNet)-directed graph neural network(DGNN)(CGN), for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer, by integrating longitudinal chest computed tomography(CT) imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron, and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently, a DGNN was constructed to integrate heterogeneous features, where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally, model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss, facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set, achieving an area under the receiver operating characteristic curve(AUC) of 0.830, accuracy of 0.843, sensitivity of 0.657, specificity of 0.712, Cohen's Kappa of 0.417, and F1 score of 0.544. Compared with unimodal baselines, the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components, substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine (TCM)-specific symptomatology led to an additional 5% improvement in AUC, underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis, it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model, by synergistically combining cross-attention encoding with directed graph-based feature integration, enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment, thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.
7.Analysis and reinterpretation of chongmai diseases and their pathological manifestations.
Weijie QIU ; Rui LI ; Yu GONG ; Zixuan ZHU ; Haoji WU ; Shangjin LIU
Chinese Acupuncture & Moxibustion 2025;45(12):1839-1845
The diseases and pathological manifestations associated with chongmai (thoroughfare vessel) are the representative in the practical applications of chongmai theory. Elucidating this theory serves as a prerequisite of acupuncture and moxibustion therapy. Based on literature analysis, the diseases and clinical manifestations of chongmai recorded in the time of Huangdi Neijing (The Yellow Emperor's Inner Classic) were analyzed so as to reinterpret the diagnostic process, pathological characteristics, and clinical manifestations of disorders, and evaluate the value of chongmai theory. Chongmai diseases were identified from the palpation initially, known as the "palpation on abdominal pulse". The "qi reversion" of chongmai represents a typical clinical manifestation of chongmai diseases, such as ji (abdominal mass), jia (abdominal hematoma), and shan (hernia), occurring in different sites of the abdomen and in different pathological stages. A part of distribution of chongmai is considered in clinical manifestation, diagnosis and treatment of acupuncture and moxibustion. To emphasize the significance of chongmai in modern acupuncture-moxibustion theory and practice, the diagnostic and therapeutic patterns of the related disorders should be considered in clinical practice. The characteristics of chongmai are reflected in three aspects: qi, blood and abdomen, which are determined by both its inherent properties and the clinical manifestations of related diseases.
Humans
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Acupuncture Therapy
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Moxibustion
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History, Ancient
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Meridians
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Medicine, Chinese Traditional
8.Artificial intelligence in prostate cancer.
Wei LI ; Ruoyu HU ; Quan ZHANG ; Zhangsheng YU ; Longxin DENG ; Xinhao ZHU ; Yujia XIA ; Zijian SONG ; Alessia CIMADAMORE ; Fei CHEN ; Antonio LOPEZ-BELTRAN ; Rodolfo MONTIRONI ; Liang CHENG ; Rui CHEN
Chinese Medical Journal 2025;138(15):1769-1782
Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans
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Prostatic Neoplasms/diagnosis*
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Male
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Artificial Intelligence
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Deep Learning
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Prognosis
9.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
10.Exon Sequencing of HNF1β in Chinese Patients with Early-Onset Diabetes
Siqian GONG ; Hong LIAN ; Yating LI ; Xiaoling CAI ; Wei LIU ; Yingying LUO ; Meng LI ; Si-min ZHANG ; Rui ZHANG ; Lingli ZHOU ; Yu ZHU ; Qian REN ; Xiuying ZHANG ; Jing CHEN ; Jing WU ; Xianghai ZHOU ; Xirui WANG ; Xueyao HAN ; Linong JI
Diabetes & Metabolism Journal 2025;49(2):321-330
Background:
Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients.
Methods:
Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines.
Results:
Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher.
Conclusion
MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

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