1.Current Status and Strategies of Integrated Traditional Chinese and Western Medicine in the Treatment of Helicobacter pylori Infection
Xuezhi ZHANG ; Xia DING ; Zhen LIU ; Hui YE ; Xiaofen JIA ; Hong CHENG ; Zhenyu WU ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(1):111-116
This paper systematically reviews the current status of integrated traditional Chinese and western medicine in the treatment of Helicobacter pylori (Hp) infection, as well as recent progress in clinical and basic research both in China and internationally. It summarizes the advantages of traditional Chinese medicine (TCM) in Hp infection management, including improving Hp eradication rates, enhancing antibiotic sensitivity, reducing antimicrobial resistance, decreasing drug-related adverse effects, and ameliorating gastric mucosal lesions. These advantages are particularly evident in patients who are intolerant to bismuth-containing regimens, those with refractory Hp infection, and individuals with precancerous gastric lesions. An integrated, whole-process management approach and individualized, staged comprehensive treatment strategies combining TCM and western medicine are proposed for Hp infection. Future prevention and control of Hp infection should adopt an integrative Chinese-western medical strategy, emphasizing prevention, strengthening primary care, implementing proactive long-term monitoring, optimizing screening strategies, and advancing the development of novel technologies and mechanistic studies of Chinese herbal interventions. These efforts aim to provide a theoretical basis and practical pathways for the establishment and improvement of Hp infection prevention and control systems.
2.QingNangTCM: a parameter-efficient fine-tuning large language model for traditional Chinese medicine
Xuming TONG ; Liyan LIU ; Yanhong YUAN ; Xiaozheng DING ; Huiru JIA ; Xu YANG ; Sio Kei IM ; Mini Han WANG ; Zhang XIONH ; Yapeng WANG
Digital Chinese Medicine 2026;9(1):1-12
Objective:
To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment.
Methods:
We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning).
Results:
QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes.
Conclusion
Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.
3.Effect of Wenyang Huazhuo Formula (温阳化浊方) on Reproductive Aging,Ovarian Mechanical Micro-environment,and Offspring Reproductive Potential in Aged Model Mice
Jiaqi XU ; Xiaoli ZHAO ; Nan JIANG ; Kaixi LI ; Yafei DING ; Zimu WEN ; Yingying JIA ; Mengjun JIANG ; Tian XIA
Journal of Traditional Chinese Medicine 2025;66(6):612-620
ObjectiveTo explore the possible mechanisms of Wenyang Huazhuo Formula (温阳化浊方, WHF) in improving reproductive aging from the perspective of the ovarian mechanical microenvironment. MethodsThe experiment included five groups, 3-month group (20 female mice at 3 months of age), 6-month group (20 female mice at 6 months of age), 6-month + WHF group (20 female mice at 5 months of age treated with WHF), 9-month group (20 female mice at 9 months of age), and 9-month + WHF group (20 female mice at 8 months of age treated with WHF). The 6-month + WHF group and 9-month + WHF group were orally administered WHF 41.2 g/(kg·d) once daily for 4 consecutive weeks. The other three groups received no intervention. Reproductive hormone levels were measured by ELISA. HE staining was used to count the numbers of various stages of follicles. Ovarian hyaluronic acid (HA) content and collagen fiber content were measured to evaluate the ovarian mechanical microenvironment. Superovulation was performed to observe the number of eggs obtained, as well as the number of offspring and birth weight to assess fertility. The in vitro fertilization and blastocyst culture of oocytes from female offspring in each group were observed to evaluate the effect of WHF on offspring reproductive potential. ResultsCompared with the 3-month group, the 6-month group and 9-month group showed significantly decreased serum levels of gonadotropin-releasing hormone (GnRH), follicle-stimulating hormone (FSH), and luteinizing hormone (LH), decreased ovarian collagen content, and reduced numbers of primordial and secondary follicles. In contrast, the numbers of primary follicles, antral follicles, and atretic follicles increased. The levels of anti-Müllerian hormone (AMH), ovarian HA content, and the fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring were significantly lower (P<0.05). Compared with the 6-month group, the 6-month + WHF group showed significantly reduced serum levels of GnRH, FSH, and LH, with a significant decrease in primary follicles, antral follicles, and atretic follicles as well as increase of AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, and offspring birth weight (P<0.05). Compared with the 9-month group, the 9-month + WHF group exhibited reduced GnRH, FSH, and collagen fiber content, as well as reduced number of primary follicles, antral follicles, and atretic follicles. However, AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, offspring numbers, birth weight, fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring all significantly increased (P<0.05). ConclusionWHF can significantly improve the ovarian reserve, fertility, and reproductive potential in offspring during reproductive mid-life and late-life stages. Its effect may be related to the remodeling of the mechanical microenvironment of aging ovaries. Moreover, the effect on the mechanical microenvironment remodeling of late-stage ovaries and the improvement of the offspring reproductive potential is more significant.
4.Plasma miRNA testing in the differential diagnosis of very early-stage hepatocellular carcinoma: a multicenter real-world study
Jie HU ; Ying XU ; Ao HUANG ; Lei YU ; Zheng WANG ; Xiaoying WANG ; Xinrong YANG ; Zhenbin DING ; Qinghai YE ; Yinghong SHI ; Shuangjian QIU ; Huichuan SUN ; Qiang GAO ; Jia FAN ; Jian ZHOU
Chinese Journal of Clinical Medicine 2025;32(3):350-354
Objective To explore the application of plasma 7 microRNA (miR7) testing in the differential diagnosis of very early-stage hepatocellular carcinoma (HCC). Methods This study is a multicenter real-world study. Patients with single hepatic lesion (maximum diameter≤2 cm) who underwent plasma miR7 testing at Zhongshan Hospital, Fudan University, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Anhui Provincial Hospital, and Peking University People’s Hospital between January 2019 and December 2024 were retrospectively enrolled. Patients were divided into very early-stage HCC group and non-HCC group, and the clinical pathological characteristics of the two groups were compared. The value of plasma miR7 levels, alpha-fetoprotein (AFP), and des-gamma-carboxy prothrombin (DCP) in the differential diagnosis of very early-stage HCC was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). In patients with both negative AFP and DCP (AFP<20 ng/mL, DCP<40 mAU/mL), the diagnostic value of plasma miR7 for very early-stage HCC was analyzed. Results A total of 64 528 patients from 4 hospitals underwent miR7 testing, and 1 682 were finally included, of which 1 073 were diagnosed with very early-stage HCC and 609 were diagnosed with non-HCC. The positive rate of miR7 in HCC patients was significantly higher than that in non-HCC patients (67.9% vs 24.3%, P<0.001). ROC curves showed that the AUCs for miR7, AFP, and DCP in distinguishing HCC patients from the non-HCC individuals were 0.718, 0.682, and 0.642, respectively. The sensitivities were 67.85%, 43.71%, and 44.45%, and the specificities were 75.70%, 92.78%, and 83.91%, respectively. The pairwise comparison of AUCs showed that the diagnostic efficacy of plasma miR7 detection was significantly better than that of AFP or DCP (P<0.05). Although its specificity was slightly lower than AFP and DCP, the sensitivity was significantly higher. Among patients negative for both AFP and DCP, miR7 maintained an AUC of 0.728 for diagnosing very early-stage HCC, with 67.82% sensitivity and 77.73% specificity. Conclusions Plasma miR7 testing is a potential molecular marker with high sensitivity and specificity for the differential diagnosis of small hepatic nodules. In patients with very early-stage HCC lacking effective molecular markers (negative for both AFP and DCP), miR7 can serve as a novel and effective molecular marker to assist diagnosis.
5.Quality evaluation of diagnosis and treatment guidelines and expert consensus for children with immune thrombocytopenic purpura
Yaping XING ; Ying DING ; Shanshan HAN ; Wenchao XING ; Lu JIA ; Min TONG ; Xiaodan REN
China Pharmacy 2025;36(13):1671-1676
OBJECTIVE To evaluate the quality of diagnosis and treatment guidelines and expert consensuses on childhood immune thrombocytopenic purpura (ITP) published domestically and internationally, in order to provide reference for clinical practice and future guideline/expert consensus development and improvement. METHODS A systematic search was conducted across multiple databases, including PubMed, Cochrane Library, Embase, CNKI, Wanfang data, VIP, CBM; additionally, supplementary searches were carried out on websites such as Medlive, the Chinese Medical Association’s official website, and National Institute for Health and Clinical Excellence in the UK. The retrieval time ranged from the inception to September 2, 2024. Researchers who had undergone systematic training independently evaluated the methodology and report quality included in the guideline/consensus using the Appraisal of Guidelines Research and Evaluation Ⅱ (AGREE Ⅱ) and the Reporting Items for Practice Guidelines in Healthcare (RIGHT). RESULTS A total of 11 guidelines/consensuses were included. The average scores for the six domains of AGREE Ⅱ tool respectively were “range and purpose” ([ 66.67±17.98)% ], “participants” [58.33% (13.89%,73.61%)], “rigor” ([ 41.81±23.85)% ], “clarity”([ 69.57±19.35)%], “applicability” ([ 35.98±17.83)%], and “independence” [27.08% (0,75.00%)]; out of 11 articles, 9 had a recommendation level of B, 2 had a recommendation level of C, and there were no A-level articles. The average reporting rates of the 7 areas in the RIGHT tool were “basic information” ([ 72.35±12.95)% ], “background” ([ 54.55±15.40)%],“ evidence” ([ 36.36±24.81)%],“ recommended opinions” ([ 53.25±19.20)%],“ review and quality assurance” [0 (0, 25.00%)], “funding and conflict of interest statement and management” [12.50%(0,25.00%)], and other aspects [8.33%(0, 50.00%)]. In addition, there was no statistically significant difference in the AGREE Ⅱ and RIGHT scores between the guidelines and consensuses (P>0.05). CONCLUSIONS The overall quality of the guidelines and consensuses included in this study is not high, with a recommended level of B or C. It is recommended that clinical decision-making prioritize referring to the relatively high-quality guideline/consensus among them. The quality of evidence in the existing traditional Chinese medicine guidelines for children with ITP needs to be improved, and there is no integrated guideline/consensus for traditional Chinese and Western medicine. It is recommended to revise or write relevant guideline/consensus according to the requirements of AGREE Ⅱ and RIGHT in various fields to guide clinical practice.
6.WANG Xiuxia's Clinical Experience in Treating Hyperprolactinemia with Liver Soothing Therapy
Yu WANG ; Danni DING ; Yuehui ZHANG ; Songli HAO ; Meiyu YAO ; Ying GUO ; Yang FU ; Ying SHEN ; Jia LI ; Fangyuan LIU ; Fengjuan HAN
Journal of Traditional Chinese Medicine 2025;66(14):1428-1432
This paper summarizes Professor WANG Xiuxia's clinical experience in treating hyperprolactinemia using the liver soothing therapy. Professor WANG identifies liver qi stagnation and rebellious chong qi (冲气) as the core pathomechanisms of hyperprolactinemia. Furthermore, liver qi stagnation may transform into fire or lead to pathological changes such as spleen deficiency with phlegm obstruction or kidney deficiency with essence depletion. The treatment strategy centers on soothing the liver, with a modified version of Qinggan Jieyu Decoction (清肝解郁汤) as the base formula. Depending on different syndrome patterns such as liver stagnation transforming into fire, liver stagnation with spleen deficiency, or liver stagnation with kidney deficiency, heat clearing, spleen strengthening, or kidney tonifying herbs are added accordingly. In addition, three paired herb combinations are commonly used for symptom specific treatment, Danggui (Angelica sinensis) with Chuanxiong (Ligusticum chuanxiong), Zelan (Lycopus lucidus) with Yimucao (Leonurus japonicus) , and Jiegeng (Platycodon grandiflorus) with Zisu (Perilla frutescens).
7.Multifaceted mechanisms of Danggui Shaoyao San in ameliorating Alzheimer's disease based on transcriptomics and metabolomics.
Min-Hao YAN ; Han CAI ; Hai-Xia DING ; Shi-Jie SU ; Xu-Nuo LI ; Zi-Qiao XU ; Wei-Cheng FENG ; Qi-Qing WU ; Jia-Xin CHEN ; Hong WANG ; Qi WANG
China Journal of Chinese Materia Medica 2025;50(8):2229-2236
This study explored the potential therapeutic targets and mechanisms of Danggui Shaoyao San(DSS) in the prevention and treatment of Alzheimer's disease(AD) through transcriptomics and metabolomics, combined with animal experiments. Fifty male C57BL/6J mice, aged seven weeks, were randomly divided into the following five groups: control, model, positive drug, low-dose DSS, and high-dose DSS groups. After the intervention, the Morris water maze was used to assess learning and memory abilities of mice, and Nissl staining and hematoxylin-eosin(HE) staining were performed to observe pathological changes in the hippocampal tissue. Transcriptomics and metabolomics were employed to sequence brain tissue and identify differential metabolites, analyzing key genes and metabolites related to disease progression. Reverse transcription-quantitative polymerase chain reaction(RT-qPCR) was employed to validate the expression of key genes. The Morris water maze results indicated that DSS significantly improved learning and cognitive function in scopolamine(SCOP)-induced model mice, with the high-dose DSS group showing the best results. Pathological staining showed that DSS effectively reduced hippocampal neuronal damage, increased Nissl body numbers, and reduced nuclear pyknosis and neuronal loss. Transcriptomics identified seven key genes, including neurexin 1(Nrxn1) and sodium voltage-gated channel α subunit 1(Scn1a), and metabolomics revealed 113 differential metabolites, all of which were closely associated with synaptic function, oxidative stress, and metabolic regulation. RT-qPCR experiments confirmed that the expression of these seven key genes was consistent with the transcriptomics results. This study suggests that DSS significantly improves learning and memory in SCOP model mice and alleviates hippocampal neuronal pathological damage. The mechanisms likely involve the modulation of synaptic function, reduction of oxidative stress, and metabolic balance, with these seven key genes serving as important targets for DSS in the treatment of AD.
Animals
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Alzheimer Disease/genetics*
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Male
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Drugs, Chinese Herbal/administration & dosage*
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Mice
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Mice, Inbred C57BL
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Metabolomics
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Transcriptome/drug effects*
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Maze Learning/drug effects*
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Hippocampus/metabolism*
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Humans
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Disease Models, Animal
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Memory/drug effects*
8.Integrative transcriptomic and epigenomic analysis identifies BCL6B as a novel regulator of human pluripotent stem cell to endothelial differentiation.
Yonglin ZHU ; Jinyang LIU ; Jia WANG ; Shuangyuan DING ; Hui QIU ; Xia CHEN ; Jianying GUO ; Peiliang WANG ; Xingwu ZHANG ; Fengzhi ZHANG ; Rujin HUANG ; Fuyu DUAN ; Lin WANG ; Jie NA
Protein & Cell 2025;16(11):985-990
9.Safety analysis of Yttrium-90 resin microsphere selective internal radiation therapy on malignant liver tumors
Jia CAI ; Shiwei TANG ; Rongli LI ; Mingxin KONG ; Hongyan DING ; Xiaofeng YUAN ; Yuying HU ; Ruimei LIU ; Xiaoyan ZHU ; Wenjun LI ; Haibin ZHANG ; Guanwu WANG
Chinese Journal of Clinical Medicine 2025;32(1):24-29
Objective To explore the safety of Yttrium-90 resin microsphere selective internal radiation therapy (90Y-SIRT) on malignant liver tumors. Methods A retrospective analysis was conducted on 64 patients with malignant liver tumors who underwent 90Y-SIRT from February 2023 to November 2024 at Weifang People’s Hospital. The clinical characteristics of the patients and the occurrence of adverse reactions after treatment were analyzed to assess the safety of 90Y-SIRT. Results Among the 64 patients, there were 52 males (81.25%) and 12 females (18.75%); the average age was (56.29±11.08) years. Seven patients (10.94%) had tumors with maximum diameter of less than 5 cm, 38 patients (59.38%) had tumors with maximum diameter of 5-10 cm, and 19 patients (29.68%) had tumors with maximum diameter of greater than 10 cm. There were 47 cases (73.44%) of solitary lesions and 17 cases (26.56%) of multiple lesions; 53 cases (82.81%) were primary liver cancers and 11 cases (17.19%) were metastatic liver cancers. Of the 64 patients, 63 successfully completed the Technetium-99m macroaggregated albumin (99mTc-MAA) perfusion test and received the 90Y-SIRT; one patient received 90Y-SIRT after the second 99mTc-MAA perfusion test due to a work error. The most common adverse reactions included grade 1 alanine aminotransferase (ALT) elevation in 26 cases (40.62%) and grade 2 in 2 cases (9.37%), grade 1 aspartate aminotransferase (AST) elevation in 27 cases (42.18%) and grade 2 in 7 cases (10.93%); grade 1 nausea in 17 cases (26.56%) and grade 2 in 6 cases (9.37%); grade 1 abdominal pain in 12 cases (18.75%), grade 2 in 5 cases (7.81%), and grade 3 in 1 case (1.56%); grade 1 vomiting in 11 cases (17.18%), grade 2 in 5 cases (7.81%), and grade 3 in 1 case (1.56%). Conclusion The adverse reactions of 90Y-SIRT for treating malignant liver tumors are mild, indicating good safety.
10.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.

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