1.Clinical Efficacy of Janus Kinase Inhibitors in Combination with Chinese Herbal Medicine for Rheumatoid Arthritis:A Retrospective Study and A Meta-analysis
Chenguang ZHAN ; Shengqin YANG ; Xin LI ; Yu WEN ; Peng ZHANG ; Xingrui YAN ; Haifang DU ; Maojie WANG ; Xiaodong WU ; Liyan MEI ; Xiumin CHEN ; Yanlin LI ; Runyue HUANG
Journal of Traditional Chinese Medicine 2026;67(5):534-543
ObjectiveTo evaluate the efficacy and safety of Janus kinase (JAK) inhibitors combined with Chinese herbal medicine (CHM) in treating rheumatoid arthritis (RA). MethodsClinical data from 169 RA patients were retrospectively collected. Among them, 71 cases received JAK inhibitors as the control group, while 98 cases received JAK inhibitors plus CHM as the observation group, both treated for 24 weeks. The rheumatoid factor (RF), cyclic citic peptide antibody (anti-CCP), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and white blood cell count (WBC) were recorded before and after treatment. Databases including CNKI, Wanfang, VIP, PubMed and Web of Science were searched from inception till August 31st, 2025 for randomized controlled trials (RCTs) on the combined use of JAK inhibitors and CHM for RA. The methodological quality of the included studies was evaluated using the risk of bias assessment tool. Meta-analyses were performed for RF, anti-CCP, ESR, CRP, 28-joint disease activity score (DAS28), overall clinical effective rate, and incidence of adverse events. Sensitivity analysis were also performed. ResultsThe retrospective study demonstrated that after treatment, ESR, CRP, and anti-CCP levels decreased in the observation group, while ESR and CRP levels decreased in the control group (P<0.05). Moreover, ESR and RF levels in the observation group were lower than those in the control group (P<0.05). A total of 9 RCTs involving 770 patients were included in the meta-analysis. The results indicated that the JAK inhibitors plus CHM group was superior to the JAK inhibitors group in reducing RF (MD=-8.97, 95%CI -15.01 to -2.94, P=0.004), CRP (MD=-3.34, 95%CI -3.82 to -2.86, P<0.001), ESR (MD=-5.33, 95%CI -7.98 to -2.69, P<0.001), and DAS28 score (MD=-0.54, 95%CI -0.74 to -0.34, P<0.001), as well as in improving the overall clinical effective rate (OR=4.53, 95%CI 2.55 to 8.03, P<0.001). No statistically significant differences were observed between groups in anti-CCP levels (SMD=-2.08, 95%CI -4.41 to 0.24, P=0.080) or incidence of adverse events (OR=0.93, 95%CI 0.55 to 1.57, P=0.790). ConclusionThe combination of JAK inhibitors and CHM demonstrates remarkable efficacy in treating RA, contributing to improved disease activity and reduced inflammatory markers with a favorable safety profile.
2.SHI Zaixiang's Clinical Experience in Using Chaihu Guizhi Ganjiang Decoction (柴胡桂枝干姜汤) to Treat High Fever in Sepsis
Tingting ZHU ; Yingying LIU ; Hailan CUI ; Zhiying REN ; Mingjing SHAO ; Yan BIAN ; Liyan WANG ; Zhenjie CHEN ; Yuan LIU ;
Journal of Traditional Chinese Medicine 2025;66(16):1645-1648
This paper summarizes Professor SHI Zaixiang's clinical experience in treating high fever caused by sepsis using Chaihu Guizhi Ganjiang Decoction (柴胡桂枝干姜汤). He holds that the key pathogenesis of sepsis involves constrained heat in the shaoyang and internal accumulation of water and fluids. The clinical manifestations such as high fever, chills, and alternating sensations of cold and heat are attributed to pathogenic heat constrained in the shaoyang. Meanwhile, soft tissue edema and serous cavity effusions are due to shaoyang dysfunction and internal water retention. In clinical practice, treating sepsis-related high fever requires addressing both the shaoyang-constrained heat and the associated edema and effusions. The therapeutic approach focuses on harmonizing the shaoyang and resolving internal fluids, using Chaihu Guizhi Ganjiang Decoction as the base formula with flexible modifications. Professor SHI emphasizes that this formula shows a rapid antipyretic effect, particularly in cases where multiple anti-infective treatments have failed.
3.External review of the recommendations of the Guidelines for Evidence-based Use of Biological Agents for the Clinical Treatment of Osteoporosis: a cross-sectional survey
Lingling YU ; Shuang LIU ; Zaiwei SONG ; Qiusha YI ; Yu ZHANG ; Liyan MIAO ; Zhenlin ZHANG ; Chunli SONG ; Yaolong CHEN ; Lingli ZHANG ; Rongsheng ZHAO
China Pharmacy 2025;36(9):1025-1029
OBJECTIVE To assess the scientific rigor, clarity and feasibility of the recommendations of the Guidelines for Evidence-based Use of Biological Agents for the Clinical Treatment of Osteoporosis (hereinafter referred to as the Guideline) through external review, in order to further revise and improve the Guideline recommendations. METHODS This study employed a cross-sectional survey research design, a convenience sampling method was adopted to select frontline medical workers in the field of osteoporosis (including clinical doctors, clinical pharmacists, and nurses) as well as patients or their family members. External review was conducted through a combination of closed-ended and open-ended electronic questionnaires to get feedback from them on the appreciation,clarity and feasibility of the 32 preliminary recommendations in the Guideline. RESULTS A total of 90 external review subjects from 15 hospitals were collected, including 45 clinical doctors, 15 clinical pharmacists, 15 nurses and 15 patients or their family members. The overall appreciation degree of recommendations was 99.38%, the overall clarity degree of recommendations was 98.92%, and the overall feasibility degree of recommendations was 99.65%. At the same time, 111 subjective suggestions were collected, which provided an important reference for the further improvement of the Guideline recommendations. Based on the above feedback, the Guideline steering committee and core expert group revised the wording of 12 draft recommendations without deletion, and finally determined 32 recommendations. CONCLUSIONS The external review provides an important basis for the final formation of the Guideline, further improves the scientific rigor, clarity and feasibility of the recommendations, and ensures the standardization, practicality and implementability of the Guideline.
4.Molecular Characteristics of Prognosis and Chemotherapy Response in Breast Cancer: Biomarker Identification Based on Gene Mutations and Pathway
Liyan LI ; Hongwei LYU ; Qian CHEN ; Yating BAI ; Jing YU ; Ruigang CAI
Journal of Breast Cancer 2025;28(2):61-71
Purpose:
This study aimed to investigate the molecular characteristics associated with better prognosis in breast cancer.
Methods:
We performed targeted sequencing of 962 genes in 56 samples, categorizing them into long-term and short-term survival groups as well as chemotherapy-sensitive and chemotherapy-resistant groups for further analyses.
Results:
The results indicated that the tumor mutational burden values were significantly higher in the short-term survival and chemotherapy-resistant groups (p = 0.008 and p = 0.003, respectively). Somatic mutation analysis revealed that the mutation frequencies of BCL9L and WHSC1 were significantly lower in the long-term survival group than those in the short-term survival group (p = 0.029 and p = 0.024, respectively). CREB-regulated transcription coactivator 1 (CRTC1) mutations occurred significantly more frequently in the chemotherapy-resistant group (p = 0.027) and were associated with shorter progression-free survival (p = 0.036).Signature weighting analysis showed a significant increase in Signature.3, which is associated with homologous recombination repair deficiency in the chemotherapy-sensitive group (p = 0.045). Conversely, signatures related to effective DNA repair mechanisms, Signature.1 and Signature.15, were significantly reduced (p = 0.002 and p < 0.001, respectively). Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that gene mutations were significantly enriched in the JAK-STAT signaling pathway.
Conclusion
This study, through intergroup comparative analysis, found that immunotherapy (using programmed death 1/programmed death-ligand 1 inhibitors) may improve the prognosis of patients with short survival and chemotherapy resistance. Additionally, the study revealed that mutations in BCL9L and WHSC1 could serve as biomarkers for breast cancer prognosis, while CRTC1 mutations and Signature.3 could predict chemotherapy response. The study also found that the JAK-STAT pathway might be a potential therapeutic target for chemotherapy resistance. Therefore, this study identifies molecular characteristics that influence the prognosis of breast cancer patients, providing important theoretical insights for the development of personalized treatment strategies.
5.A practice guideline for therapeutic drug monitoring of mycophenolic acid for solid organ transplants.
Shuang LIU ; Hongsheng CHEN ; Zaiwei SONG ; Qi GUO ; Xianglin ZHANG ; Bingyi SHI ; Suodi ZHAI ; Lingli ZHANG ; Liyan MIAO ; Liyan CUI ; Xiao CHEN ; Yalin DONG ; Weihong GE ; Xiaofei HOU ; Ling JIANG ; Long LIU ; Lihong LIU ; Maobai LIU ; Tao LIN ; Xiaoyang LU ; Lulin MA ; Changxi WANG ; Jianyong WU ; Wei WANG ; Zhuo WANG ; Ting XU ; Wujun XUE ; Bikui ZHANG ; Guanren ZHAO ; Jun ZHANG ; Limei ZHAO ; Qingchun ZHAO ; Xiaojian ZHANG ; Yi ZHANG ; Yu ZHANG ; Rongsheng ZHAO
Journal of Zhejiang University. Science. B 2025;26(9):897-914
Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C0), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug-drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage*
;
Drug Monitoring/methods*
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Humans
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Organ Transplantation
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Immunosuppressive Agents/administration & dosage*
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Delphi Technique
6.Real-world efficacy and safety of azvudine in hospitalized older patients with COVID-19 during the omicron wave in China: A retrospective cohort study.
Yuanchao ZHU ; Fei ZHAO ; Yubing ZHU ; Xingang LI ; Deshi DONG ; Bolin ZHU ; Jianchun LI ; Xin HU ; Zinan ZHAO ; Wenfeng XU ; Yang JV ; Dandan WANG ; Yingming ZHENG ; Yiwen DONG ; Lu LI ; Shilei YANG ; Zhiyuan TENG ; Ling LU ; Jingwei ZHU ; Linzhe DU ; Yunxin LIU ; Lechuan JIA ; Qiujv ZHANG ; Hui MA ; Ana ZHAO ; Hongliu JIANG ; Xin XU ; Jinli WANG ; Xuping QIAN ; Wei ZHANG ; Tingting ZHENG ; Chunxia YANG ; Xuguang CHEN ; Kun LIU ; Huanhuan JIANG ; Dongxiang QU ; Jia SONG ; Hua CHENG ; Wenfang SUN ; Hanqiu ZHAN ; Xiao LI ; Yafeng WANG ; Aixia WANG ; Li LIU ; Lihua YANG ; Nan ZHANG ; Shumin CHEN ; Jingjing MA ; Wei LIU ; Xiaoxiang DU ; Meiqin ZHENG ; Liyan WAN ; Guangqing DU ; Hangmei LIU ; Pengfei JIN
Acta Pharmaceutica Sinica B 2025;15(1):123-132
Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T NANC), time to symptom improvement (T SI), and time of hospital stay (T HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.
7.Molecular Characteristics of Prognosis and Chemotherapy Response in Breast Cancer: Biomarker Identification Based on Gene Mutations and Pathway
Liyan LI ; Hongwei LYU ; Qian CHEN ; Yating BAI ; Jing YU ; Ruigang CAI
Journal of Breast Cancer 2025;28(2):61-71
Purpose:
This study aimed to investigate the molecular characteristics associated with better prognosis in breast cancer.
Methods:
We performed targeted sequencing of 962 genes in 56 samples, categorizing them into long-term and short-term survival groups as well as chemotherapy-sensitive and chemotherapy-resistant groups for further analyses.
Results:
The results indicated that the tumor mutational burden values were significantly higher in the short-term survival and chemotherapy-resistant groups (p = 0.008 and p = 0.003, respectively). Somatic mutation analysis revealed that the mutation frequencies of BCL9L and WHSC1 were significantly lower in the long-term survival group than those in the short-term survival group (p = 0.029 and p = 0.024, respectively). CREB-regulated transcription coactivator 1 (CRTC1) mutations occurred significantly more frequently in the chemotherapy-resistant group (p = 0.027) and were associated with shorter progression-free survival (p = 0.036).Signature weighting analysis showed a significant increase in Signature.3, which is associated with homologous recombination repair deficiency in the chemotherapy-sensitive group (p = 0.045). Conversely, signatures related to effective DNA repair mechanisms, Signature.1 and Signature.15, were significantly reduced (p = 0.002 and p < 0.001, respectively). Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that gene mutations were significantly enriched in the JAK-STAT signaling pathway.
Conclusion
This study, through intergroup comparative analysis, found that immunotherapy (using programmed death 1/programmed death-ligand 1 inhibitors) may improve the prognosis of patients with short survival and chemotherapy resistance. Additionally, the study revealed that mutations in BCL9L and WHSC1 could serve as biomarkers for breast cancer prognosis, while CRTC1 mutations and Signature.3 could predict chemotherapy response. The study also found that the JAK-STAT pathway might be a potential therapeutic target for chemotherapy resistance. Therefore, this study identifies molecular characteristics that influence the prognosis of breast cancer patients, providing important theoretical insights for the development of personalized treatment strategies.
8.Molecular Characteristics of Prognosis and Chemotherapy Response in Breast Cancer: Biomarker Identification Based on Gene Mutations and Pathway
Liyan LI ; Hongwei LYU ; Qian CHEN ; Yating BAI ; Jing YU ; Ruigang CAI
Journal of Breast Cancer 2025;28(2):61-71
Purpose:
This study aimed to investigate the molecular characteristics associated with better prognosis in breast cancer.
Methods:
We performed targeted sequencing of 962 genes in 56 samples, categorizing them into long-term and short-term survival groups as well as chemotherapy-sensitive and chemotherapy-resistant groups for further analyses.
Results:
The results indicated that the tumor mutational burden values were significantly higher in the short-term survival and chemotherapy-resistant groups (p = 0.008 and p = 0.003, respectively). Somatic mutation analysis revealed that the mutation frequencies of BCL9L and WHSC1 were significantly lower in the long-term survival group than those in the short-term survival group (p = 0.029 and p = 0.024, respectively). CREB-regulated transcription coactivator 1 (CRTC1) mutations occurred significantly more frequently in the chemotherapy-resistant group (p = 0.027) and were associated with shorter progression-free survival (p = 0.036).Signature weighting analysis showed a significant increase in Signature.3, which is associated with homologous recombination repair deficiency in the chemotherapy-sensitive group (p = 0.045). Conversely, signatures related to effective DNA repair mechanisms, Signature.1 and Signature.15, were significantly reduced (p = 0.002 and p < 0.001, respectively). Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that gene mutations were significantly enriched in the JAK-STAT signaling pathway.
Conclusion
This study, through intergroup comparative analysis, found that immunotherapy (using programmed death 1/programmed death-ligand 1 inhibitors) may improve the prognosis of patients with short survival and chemotherapy resistance. Additionally, the study revealed that mutations in BCL9L and WHSC1 could serve as biomarkers for breast cancer prognosis, while CRTC1 mutations and Signature.3 could predict chemotherapy response. The study also found that the JAK-STAT pathway might be a potential therapeutic target for chemotherapy resistance. Therefore, this study identifies molecular characteristics that influence the prognosis of breast cancer patients, providing important theoretical insights for the development of personalized treatment strategies.
9.Deep learning model based on grayscale ultrasound for predicting asymptomatic compensated advanced chronic liver disease
Sisi HUANG ; Yingzi LIANG ; Fangyi HUANG ; Liyan WEI ; Yuanyuan CHEN ; Yong GAO
Chinese Journal of Medical Imaging Technology 2025;41(6):947-951
Objective To explore the value of deep learning(DL)model based on grayscale ultrasound for predicting asymptomatic advanced chronic liver disease(cACLD).Methods Totally 258 patients with asymptomatic compensatory chronic liver diseases were retrospectively included,among them 117 with F3 or F4 stage liver fibrosis were classified into cACLD group,while 141 with F1 or F2 stage liver fibrosis were taken as non-cACLD group.The patients were divided into training set(n=180,including 82 cases of cACLD and 98 cases of non-cACLD)and validation set(n=78,including 35 cases of cACLD and 43 cases of non-cACLD)at the ratio of 7∶3.Univariate and multivariate logistic regression were used to screen independent clinical predictors of cACLD and construct a clinical model.Based on liver grayscale ultrasound,optimal DL features were extracted and screened,and Resnet50 network was adopted as framework,na?ve Bayes classifier was used to construct DL model,and a combined model was constructed based on clinical model and DL model.The efficacy and clinical value of each model for predicting asymptomatic cACLD were evaluated.Results Age,gamma-glutamyl transferase and platelet count were all independent clinical predictors of cACLD,and a clinical model was constructed.Totally 38 optimal DL features were screened to build a DL model.The AUC of combined model in training set and validation set was 0.950 and 0.740,of DL model was 0.944 and 0.737,respectively,being not significantly different(both P>0.05)but all higher than that of clinical model(0.667 and 0.573,all P<0.05).Taken 0.59-0.90 as the threshold,the net benefits of combined model in both training and validation sets were higher than that of other models.Conclusion DL model based on grayscale ultrasound could be used to effectively predict asymptomatic cACLD.Combining with clinical characteristics might improve clinical net benefit of this model.
10.Application of dance movement therapy in cancer patients: a scoping review
Liyan CHEN ; Lei REN ; Fengfeng SHEN
Chinese Journal of Practical Nursing 2025;41(34):2677-2684
Objective:To conduct a scoping review of studies related to the application of dance movement therapy (DMT) in cancer patients to provide a reference for subsequent research and clinical promotion of its application.Methods:Using the research method of scoping review, domestic and international databases such as China National Knowledge Infrastructure, Wanfang, PubMed, Embase, etc. were systematically searched, with a search timeframe from the construction of the database to April 12, 2025, and the included literature was screened, summarized, and analyzed and the findings were reported.Results:A total of 12 papers were finally included, including 7 randomized controlled trials and 5 quasi-experimental studies. The frequency of DMT interventions was mostly 2 times per week, each intervention usually lasts for 1-1.5 h, for a duration ranging from 2 weeks to 3 months, and was mostly implemented by professionally qualified dance movement therapists, which could effectively improve the physical functioning, mental state, quality of life, and cancer-related symptoms of cancer patients.Conclusions:DMT, as a flexible and creative psychotherapy, has positive significance in cancer patients.

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