1.Inheritance and Current Research Status of Major Spleen-Stomach Theories in Traditional Chinese Medicine
Ling HU ; Fengyun WANG ; Xudong TANG ; Beihua ZHANG ; Yunkai DAI ; Xu CHEN ; Shiqi LI
Journal of Traditional Chinese Medicine 2026;67(1):87-94
This paper systematically reviews the core concepts and lines of theoretical inheritance of major spleen-stomach theories in traditional Chinese medicine (TCM), including spleen deficiency theory, spleen-stomach damp-heat theory, and liver-spleen disharmony theory. It is found that these theories have all undergone a developmental trajectory characterized by classical foundation, refinement of therapeutic methods, systematization of pathogenesis, and modern innovation. The evolution of spleen-stomach theory has achieved a shift from a singular focus on tonifying the spleen to regulating dynamic middle-jiao (焦) balance, and from localized spleen-stomach regulation to the circular movement of qi involving all five zang organs. In terms of modern disease-syndrome integrative research, spleen deficiency syndrome is shown to be closely associated with impairment of the gastrointestinal mucosal barrier, metabolic disorders, and gene polymorphisms related to Helicobacter pylori-associated gastric diseases. Spleen-stomach damp-heat syndrome is closely linked to hyperactive energy metabolism, inflammatory cytokines, and abnormal expression of aquaporins. Liver-spleen disharmony syndrome is mainly associated with dysregulation of the brain-gut axis and microbiota-related metabolic disorders. It is proposed that future research on spleen-stomach diseases and syndromes should further elucidate their potential multidimensional differential biological characteristics, thereby promoting the modernization of the TCM discipline of spleen-stomach studies.
2.Effects of Xiebai San on the Morphological Structures of Lung and Intestinal Tissues and Expression Levels of PI3K and Akt in Rats with Allergic Asthma
Jing SONG ; Zongtong YANG ; Xiaojing LI ; Zifa LI ; Fengyun SU ; Dongchuan XU ; Zaiyun SUI
Laboratory Animal and Comparative Medicine 2026;46(2):191-204
ObjectiveTo investigate the mechanism by which Xiebai San regulates respiratory tract and intestinal mucosal immunity in rats with allergic asthma. MethodsForty male SD rats were randomly divided into four groups based on body weight: control group, model group, positive control group, and Xiebai San group. The model group, positive control group, and Xiebai San group were sensitized with ovalbumin to establish a rat model of allergic asthma. From day 21 (the aerosol challenge phase), each group received daily gavage interventions simultaneously: the positive control group was administered dexamethasone (0.068 mg/kg), the Xiebai San group received Xiebai San solution (2 g/mL, 11.3 mL/kg), while the control and model groups were given an equal volume of normal saline, once daily for 14 consecutive days. After euthanasia, lung and intestinal tissues were collected. Hematoxylin and eosin staining was used to observe histopathological changes. Transmission electron microscopy was employed to examine tissue ultrastructure. Immunohistochemistry was applied to detect the positive reaction areas of phosphatidyl-inositol 3-kinase (PI3K) and protein kinase B (Akt) proteins. Total protein and total RNA were extracted from lung and intestinal tissues, then the protein and mRNA expression levels of PI3K and Akt genes were detected by Western blotting and real-time quantitative PCR, respectively. ResultsHistopathological results showed alveolar emphysema accompanied by inflammatory cell infiltration, and intestinal mucosal injury with inflammatory cell infiltration in the model group as compared with the control group; the cellular structure of lung tissues was disrupted in the model group, with reduced organelles, while the ultrastructural lesions in the intestine were relatively mild. Compared with the model group, Xiebai San group exhibited milder pathological changes in lung tissues, with occasional alveolar wall damage and a small amount of inflammatory cell infiltration; the intestinal mucosal structure was improved, glands were arranged regularly, and pathological changes such as tissue loosening and inflammatory infiltration were alleviated; the cellular structure of lung tissues was relatively intact with reduced severity of lesions, and no ultrastructural pathological changes were observed in intestinal tissues. Immunohistochemistry and Western blotting results showed that compared with the control group, the specific positive reaction areas of PI3K and Akt in lung and intestinal tissues were significantly increased in the model group (all P<0.001); meanwhile, the protein expression levels of PI3K and Akt were significantly upregulated (all P<0.05). Compared with the model group, the positive area of Akt protein in lung tissue was significantly reduced in the Xiebai San group (P<0.001), and the positive area of PI3K in intestinal tissue was also significantly decreased (P<0.000 1). Additionally, the protein expression levels of PI3K and Akt in lung and intestinal tissues were significantly downregulated (all P<0.01). Real-time quantitative PCR results showed that compared with the control group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly elevated in the model group (all P<0.05). Compared with the model group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly reduced in the Xiebai San group (all P<0.05). ConclusionXiebai San exerts protective effects on rats with allergic asthma by inhibiting the expression of key nucleic acids and proteins in the PI3K-Akt signaling pathway in lung and intestinal tissues, improving the morphological structure of lung tissue, and maintaining intestinal mucosal integrity, and regulating intestinal mucosal immune function.
3.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
4.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
5.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
6.A convergent mixed-methods study on the maternal influenza vaccination willingness among pregnant and postpartum women in Shanghai and Liaoning Province
Fanyu ZENG ; Honghong YANG ; Hong JIANG ; Chunyi GU ; Fengyun YANG ; Longmei JIN ; Changhui LI ; Haiqi WANG ; Xu QIAN
Shanghai Journal of Preventive Medicine 2025;37(9):781-787
ObjectiveTo investigate the current status and related factors of maternal influenza vaccination willingness among pregnant and postpartum women in Shanghai and Liaoning Province, China, and to explore the facilitators and barriers affecting vaccination uptake, so as to provide references for future practices in promoting maternal influenza immunization in China. MethodsA convergent mixed-methods research was conducted. From January to March 2024, a questionnaire survey was conducted among women attending prenatal and postnatal care at 7 medical institutions in Shanghai and Dalian, Liaoning Province, which aimed to assess pregnant women’s knowledge about influenza vaccine and their willingness to vaccination during pregnancy, as well as to identify the related factors. In addition, purposive sampling method was used to conduct in-depth interviews with pregnant women and perinatal healthcare service providers to explore their perspectives on influenza vaccination during pregnancy, including the reasons for their willingness or unwillingness to receive ( or recommend) the vaccine, and the relevant facilitators and barriers to vaccination. ResultsA total of 366 pregnant and postpartum women participated in the questionnaire survey, and 9.56% (35/366) of them were willing to receive the influenza vaccine during pregnancy. The results of multivariate logistic stepwise regression analyses showed that primipara (aOR=0.158, 95%CI: 0.037‒0.671, P=0.012), family members’ support for influenza vaccination during pregnancy (aOR=0.015, 95%CI: 0.003‒0.082, P<0.001) were associated with higher willingness to receive influenza vaccine during pregnancy. Absence of influenza infection during pregnancy (aOR=5.383, 95%CI: 1.801‒16.092, P<0.001), and lack of knowledge regarding influenza vaccination during pregnancy (aOR=11.294, 95%CI: 3.593‒35.496, P<0.01) were associated with lower willingness to receive influenza vaccine during pregnancy. Qualitative findings indicated that the facilitators to vaccination willingness among pregnant and postpartum women included the recommendation of healthcare service providers, adequate knowledge of influenza vaccine information and family members’ support for vaccination. Conversely, the barriers to vaccination willingness included low recommendation from the healthcare service providers, lack of knowledge about the safety of influenza vaccine during pregnancy and inadequate attention to influenza and influenza vaccine. ConclusionThe willingness to receive influenza vaccination among pregnant and postpartum women in Shanghai and Liaoning Province is relatively low. It is recommended that China should promptly improve the evidence-based system for the safety and efficacy of influenza vaccines for pregnant and postpartum women, along with an establishment of the mechanism for addressing adverse reactions. Furthermore, it is essential to enhance educational outreach to pregnant and postpartum women, their families, and healthcare service providers, thereby increasing the accessibility of information regarding influenza vaccination, which are expected to enhance the willingness of pregnant and postpartum women to receive the vaccine.
7.Efficacy and safety of dimethyl fumarate in the treatment of multiple sclerosis:a meta-analysis
Fengyun LI ; Rui LAN ; Duo ZHAO ; Fugui LIU ; Liangchen CHEN
China Pharmacy 2024;35(14):1776-1780
OBJECTIVE To evaluate the efficacy and safety of dimethyl fumarate (DMF) in the treatment of multiple sclerosis (MS). METHODS Retrieved from CBM, Web of Science, PubMed, the Cochrane Library, Embase, CNKI, Wanfang Data, and VIP, randomized controlled trials (RCTs) about DMF (trial group) versus other drugs or placebo (control group) were collected. After data screening and extraction, quality evaluation, meta-analysis was conducted by using RevMan 5.3 software. RESULTS A total of 6 literature were included, involving 638 patients. Results of meta-analysis showed that the proportion of patients with lesion changes after treatment in the trial group was lower than control group [MD=-0.65, 95%CI(-1.27, -0.02), P=0.04]; there was no statistical significance in recurrence rate [RR=1.06, 95%CI(0.52,2.17), P=0.88], the proportion of patients with new lesions after treatment [RR=1.05, 95%CI(0.62,1.80), P=0.85], expanded disability status scale after treatment [MD=0.02,95%CI (-0.18, 0.23), P=0.82], the incidence of adverse events [RR=1.33, 95%CI(0.97, 1.84), P=0.08] or severe adverse events [RR=0.95,95%CI(0.48,1.90),P=0.89] between 2 groups. Results of sensitivity analysis showed the study obtained unstable recurrence rate and the incidence of adverse events, while other results were robust. CONCLUSIONS DMF can control the lesion progression in MS patients to some extent and doesn’t increase the incidence of adverse events and serious adverse events, but there is no significant advantage in reducing the recurrence rate and controlling the disability progression.
8.Portable spirometer-based pulmonary function test willingness in China: A nationwide cross-sectional study from the "Happy Breathing Program"
Weiran QI ; Ke HUANG ; Qiushi CHEN ; Lirui JIAO ; Fengyun YU ; Yiwen YU ; Hongtao NIU ; Wei LI ; Fang FANG ; Jieping LEI ; Xu CHU ; Zilin LI ; Pascal GELDSETZER ; Till B?RNIGHAUSEN ; Simiao CHEN ; Ting YANG ; Chen WANG
Chinese Medical Journal 2024;137(14):1695-1704
Background::Understanding willingness to undergo pulmonary function tests (PFTs) and the factors associated with poor uptake of PFTs is crucial for improving early detection and treatment of chronic obstructive pulmonary disease (COPD). This study aimed to understand willingness to undergo PFTs among high-risk populations and identify any barriers that may contribute to low uptake of PFTs.Methods::We collected data from participants in the "Happy Breathing Program" in China. Participants who did not follow physicians’ recommendations to undergo PFTs were invited to complete a survey regarding their willingness to undergo PFTs and their reasons for not undergoing PFTs. We estimated the proportion of participants who were willing to undergo PFTs and examined the various reasons for participants to not undergo PFTs. We conducted univariable and multivariable logistic regressions to analyze the impact of individual-level factors on willingness to undergo PFTs.Results::A total of 8475 participants who had completed the survey on willingness to undergo PFTs were included in this study. Out of these participants, 7660 (90.4%) were willing to undergo PFTs. Among those who were willing to undergo PFTs but actually did not, the main reasons for not doing so were geographical inaccessibility ( n = 3304, 43.1%) and a lack of trust in primary healthcare institutions ( n = 2809, 36.7%). Among the 815 participants who were unwilling to undergo PFTs, over half ( n = 447, 54.8%) believed that they did not have health problems and would only consider PFTs when they felt unwell. In the multivariable regression, individuals who were ≤54 years old, residing in rural townships, with a secondary educational level, with medical reimbursement, still working, with occupational exposure to dust, and aware of the abbreviation "COPD" were more willing to undergo PFTs. Conclusions::Willingness to undergo PFTs was high among high-risk populations. Policymakers may consider implementing strategies such as providing financial incentives, promoting education, and establishing community-based programs to enhance the utilization of PFTs.
9.Analysis on TCM Syndrome and Treatment Rule of Chronic Atrophic Gastritis Based on Data Mining
Xiaoxue GUO ; Ping WANG ; Jinghua LI ; Beihua ZHANG ; Fengyun WANG ; Xudong TANG
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(4):38-43
Objective To analyze the TCM syndrome and treatment rule for the treatment of chronic atrophic gastritis based on data mining;To provide reference for its clinical treatment.Methods With the help of the big data platform of evidence-based literature of TCM covering several dominant diseases in the field of digestion,literature on the experience of famous doctors,theoretical discussion and case reports in the treatment of chronic atrophic gastritis published from 1 January 2000 to 31 July 2022 was retrieved.Medical records were screened according to the inclusion and exclusion criteria.The data of TCM disease names,clinical symptoms,tongue manifestation,pulse manifestation,TCM syndrome,TCM treatment method and other terms in medical records were standardized and statistically analyzed.Results Totally 169 articles were included,including 228 medical cases,involving 228 patients,with a cumulative number of 361 visits,with an average age of(53.17±11.11)years old,with the largest number of 50-60 years old.Chronic atrophic gastritis mostly belonged to the categories of"stomach pain"and"epigastric puffiness"in TCM,and its main symptoms were stomach pain,epigastric puffiness and belching.The common tongue manifestation include dark red tongue,white moss,thin or greasy moss.The common pulse manifestation included wiry slippery pulse,wiry thready pulse and wiry pulse.The high-frequency syndromes included liver-stomach qi stagnation syndrome,spleen-stomach dampness-heat syndrome,liver-qi stagnation and spleen-qi deficiency syndrome.The disease locations were mainly in the stomach,spleen and liver,and the syndrome elements were mainly qi deficiency,qi stagnation,blood stasis,dampness and heat,etc.The complex syndrome elements were more than the single syndrome elements,and the two syndrome elements of qi deficiency + qi stagnation was the most common.The most commonly used treatment methods were supplementing,regulating qi and regulating blood.Conclusion The treatment of chronic atrophic gastritis with TCM mostly focuses on the stomach,spleen and liver.The core syndrome elements are qi deficiency,qi stagnation,and blood stasis.The methods of nourishing qi and strengthening the spleen,soothing the liver and stomach,regulating qi and blood are often used.
10.Mechanism and application in tissue engineering of the active ingredient of Drynariae Rhizoma promoting bone defect repair
Zhijun DENG ; Wenlong YANG ; Zhijun YANG ; Bin ZHAO ; Dian LI ; Fengyun YANG
China Pharmacy 2024;35(8):1023-1028
Bone defect has always been a major clinical challenge because of its great difficulty and long period of treatment. Drynariae Rhizoma is a commonly used medicine in osteology and traumatology of traditional Chinese medicine, and its active ingredients(mainly flavonoids) facilitate osteoblast differentiation of bone marrow mesenchymal stem cells, osteoclast proliferation, vascular-osteogenic coupling, and inhibit osteoclast activity to promote bone mineralization, and repair and reconstruction of bone defect. As a good substitute for bone regeneration drugs, the active constituents of Drynariae Rhizoma can be loaded on scaffold materials of tissue engineering, which greatly improves the bioavailability of the drug. Meanwhile, the sustained-release microspheres also solve some problems such as sudden drug release from the scaffolds, and the composite scaffolds with active ingredient of Drynariae Rhizoma prepared by them have good ossification activity and osteoinduction, with precise bone repair effects, which meet the diverse performance requirements of bone grafts and have a promising clinical application prospect.

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