1.Overview of Diagnosis,Treatment and Mechanism Research of Functional Dyspepsia by Integrated Traditional Chinese and Western Medicine
Shengsheng ZHANG ; Zhaohong SHI ; Xiaofang LU ; Luqing ZHAO ; Danyan LI ; Shu ZHANG ; Lu ZHAO ; Yudi ZHUO ; Nian WANG ; Fan LIU ; Shuangyi LI ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(4):397-403
Functional dyspepsia (FD) is a prioritized disease category where traditional Chinese medicine (TCM) demonstrates distinct therapeutic advantages. The current western medicine treatment for FD is mainly based on proton pump inhibitors and prokinetic agents, with digestive enzymes, probiotics and antidepressants serving as adjuvant medication, yet such therapies still have certain limitations. TCM treatment for FD includes oral administration of Chinese herbal formulas and Chinese patent medicines, as well as external TCM therapies such as acupuncture and moxibustion, acupoint application, hot medicinal compress therapy, rubbing with ointment, medicinal iontophoresis, auricular acupoint therapy and tui na (Chinese medical massage). The combined treatment of FD with integrated TCM and western medicine can significantly improve clinical effectiveness and reduce adverse reactions. The common mechanisms underlying the therapeutic effects of both TCM and western medicine revolve around the core pathological processes of FD, mainly focusing on restoring gastrointestinal motility, regulating the levels of brain-gut peptides, modulating intestinal microecology, and ameliorating inflammatory status. The differential mechanisms lie in the precise targeting feature of western medicine versus the holistic-regulating and multi-target characteristics of TCM, and the two approaches exert a synergistic effect to enhance efficacy. This paper proposes to leverage the advantages of TCM in holistic regulation and the strengths of western medicine in targeted treatment, so as to provide personalized and comprehensive treatment regimens for FD patients.
2.A meta-analysis of risk factors for residual back pain after vertebral augmentation for osteoporotic vertebral compression fractures
Peng YANG ; Chenghan XU ; Yingjie ZHOU ; Xubin CHAI ; Hanjie ZHUO ; Lin LI ; Jinyu SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):731-739
OBJECTIVE:Patients with osteoporotic vertebral compression fractures still have residual back pain after vertebral augmentation.The current research is characterized by limited sample size,complex confounding factors,and inconsistent research results.To gain a deeper understanding of this phenomenon,the aim of this study was to identify and evaluate the risk factors for residual back pain after surgery through a systematic review and meta-analysis.METHODS:A comprehensive search was conducted in CNKI,VIP,WanFang,CBMdisc,PubMed,The Cochrane Library,Embase,and Web of Science for case-control studies on residual back pain after vertebral body augmentation for osteoporotic vertebral compression fractures from database inception to July 2024.The search terms were a combination of subject terms and free terms.The basic information,patient characteristics,surgical-related indicators,and risk factors for surgical back pain of the included studies were extracted.After evaluating the bias risk of all included studies,a meta-analysis was conducted using Stata 14.0 software on the relevant indicators.RESULTS:(1)21 case-control studies with a total of 8 043 patients were included.Among them,965 patients developed back pain.The quality score of all 21 studies was ≥7.(2)The meta-analysis results showed that age(WMD=0.98,95%CI:0.40-1.56,P=0.010),bone mineral density(WMD=-0.28,95%CI:-0.34 to-0.21,P=0.000),the number of vertebral fractures(OR=3.50,95%CI:2.65-4.62,P=0.000),thoracolumbar fracture index(OR=3.65,95%CI:2.61-5.11,P=0.000),cement volume(OR=6.89,95%CI:2.62-18.17,P=0.000),and cement distribution(OR=2.38,95%CI:1.93-2.93,P=0.000)were risk factors for the development of back pain after vertebral body augmentation in patients with osteoporotic vertebral compression fractures.CONCLUSION:Current evidence indicates that age,bone mineral density,the number of vertebral fractures,thoracolumbar fracture index,bone cement injection volume,and the distribution of bone cement are risk factors for low back pain.Specifically,bone mineral density,the number of vertebral fractures,thoracolumbar fracture index,and non-uniform distribution of bone cement are identified as independent risk factors for low back pain.Patients exhibiting these high-risk factors require vigilant monitoring and prompt intervention to mitigate the occurrence of clinical low back pain,thereby enhancing patient outcomes and quality of life.
3.A meta-analysis of risk factors for residual back pain after vertebral augmentation for osteoporotic vertebral compression fractures
Peng YANG ; Chenghan XU ; Yingjie ZHOU ; Xubin CHAI ; Hanjie ZHUO ; Lin LI ; Jinyu SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):731-739
OBJECTIVE:Patients with osteoporotic vertebral compression fractures still have residual back pain after vertebral augmentation.The current research is characterized by limited sample size,complex confounding factors,and inconsistent research results.To gain a deeper understanding of this phenomenon,the aim of this study was to identify and evaluate the risk factors for residual back pain after surgery through a systematic review and meta-analysis.METHODS:A comprehensive search was conducted in CNKI,VIP,WanFang,CBMdisc,PubMed,The Cochrane Library,Embase,and Web of Science for case-control studies on residual back pain after vertebral body augmentation for osteoporotic vertebral compression fractures from database inception to July 2024.The search terms were a combination of subject terms and free terms.The basic information,patient characteristics,surgical-related indicators,and risk factors for surgical back pain of the included studies were extracted.After evaluating the bias risk of all included studies,a meta-analysis was conducted using Stata 14.0 software on the relevant indicators.RESULTS:(1)21 case-control studies with a total of 8 043 patients were included.Among them,965 patients developed back pain.The quality score of all 21 studies was ≥7.(2)The meta-analysis results showed that age(WMD=0.98,95%CI:0.40-1.56,P=0.010),bone mineral density(WMD=-0.28,95%CI:-0.34 to-0.21,P=0.000),the number of vertebral fractures(OR=3.50,95%CI:2.65-4.62,P=0.000),thoracolumbar fracture index(OR=3.65,95%CI:2.61-5.11,P=0.000),cement volume(OR=6.89,95%CI:2.62-18.17,P=0.000),and cement distribution(OR=2.38,95%CI:1.93-2.93,P=0.000)were risk factors for the development of back pain after vertebral body augmentation in patients with osteoporotic vertebral compression fractures.CONCLUSION:Current evidence indicates that age,bone mineral density,the number of vertebral fractures,thoracolumbar fracture index,bone cement injection volume,and the distribution of bone cement are risk factors for low back pain.Specifically,bone mineral density,the number of vertebral fractures,thoracolumbar fracture index,and non-uniform distribution of bone cement are identified as independent risk factors for low back pain.Patients exhibiting these high-risk factors require vigilant monitoring and prompt intervention to mitigate the occurrence of clinical low back pain,thereby enhancing patient outcomes and quality of life.
4.Current Status and Prospective of Research on Disease-Syndrome Integrated Animal Models of Spleen and Stomach Diseases in Traditional Chinese Medicine
Jiaqi ZHANG ; Lihui FANG ; Yongtian WEN ; Shan LIU ; Zhuo SHI ; Xintong WANG ; Xinyi DAI ; Meiling SHE ; Lanshuo HU ; Yangxi FU ; Zheng WANG ; Fengyun WANG ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(5):510-516
Animal model research on spleen and stomach diseases in traditional Chinese medicine (TCM) is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present, studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome, liver constraint syndrome, and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome, and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases, including chronic gastritis and gastric precancerous lesions, gastroesophageal reflux disease, functional dyspepsia, inflammatory bowel disease, irritable bowel syndrome, functional constipation, and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic, precise, and integrative development, and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.
5.Construction of predictive model for programmed death-1 inhibitor-related endocrine adverse events
Jiaying SHI ; Wei WEI ; Ting HAN ; Xiao ZHOU ; Meng ZHUO ; Xiaolin LIN ; Tao TAO ; Xiuying XIAO
Chinese Journal of Clinical Medicine 2025;32(4):551-560
Objective To identify the independent predictors of programmed death-1 (PD-1) inhibitor-related endocrine adverse events and construct a clinically usable risk prediction model. Methods A total of 302 patients with solid tumors treated with PD-1 inhibitors were retrospectively enrolled. According to the presence or absence of endocrine immune-related adverse events (irAEs), the patients were divided into case group and control group. The clinical and laboratory indexes were compared between the two groups. Multivariable logistic regression was used to confirm independent predictors of endocrine irAEs. The nomogram was constructed, while the receiver operating characteristic (ROC) curve was used to test the prediction performance of the model. Results The overall incidence of endocrine irAEs was 21.9% (66/302), and the incidence of hypothyroidism was 19.5% (59/302). The age, PD-1 inhibitors, free thyroxine, thyroid peroxidase antibody (TPOAb), thyroglobulin, amylase, lymphocyte subset CD3 expression were statistically different between the two groups (P<0.05). Multivariable logistic regression showed that higher expression of lymphocyte subset CD3 was a protective factor to prevent endocrine irAEs occurrence (P=0.004), while age<60 years, higher TPOAb and use of pembrolizumab were independent risk factors of endocrine irAEs (P<0.05). The nomogram model thus constructed, and when the threshold probability of the model exceeded 0.1, its net benefit was higher. ROC curve showed that the AUC of the model to predict endocrine irAEs was 0.760. The prediction result of the model was highly consistent with the actual result. Conclusions The age, type of PD-1 inhibitor, baseline TPOAb level, and baseline CD3 expression can independently predict endocrine irAEs occurrence or not. The nomogram model based on this model has good predictive efficiency, which can provide reference for early identification of high-risk patients and immunotherapy management.
6.Congenital anomalies of the kidney and urinary tract complicated with ichthyosis associated with Xp22.3 microdeletion and a novo missense mutation of EHMT1
Yingchao PENG ; Zhuo SHI ; Zhengkun XIA ; Chunlin GAO
Chinese Journal of Applied Clinical Pediatrics 2025;40(12):950-952
The clinical data of a case of congenital anomalies of the kidney and urinary tract(CAKUT) complicated with ichthyosis diagnosed at Department of Pediatrics, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University in November 2023 were retrospectively analyzed.The patient, male, 12 years old, exhibited left renal agenesis, right renal dysplasia, renal insufficiency, proteinuria, and ichthyosis.Whole-exome sequencing identified a microdeletion of approximately 1.80 Mb at p22.31 of the X-chromosome, encompassing the ANOS1 and STS genes.Additionally, a heterozygous missense mutation in the EHMT1 gene (c.3664C>A, exon26) on chromosome 9 was detected.The father is clinically normal and did not carry either variant.The mother has proteinuria and was found to carry the same X-chromosome microdeletion as the proband.
7.Zedoarondiol Inhibits Neovascularization in Atherosclerotic Plaques of ApoE-/- Mice by Reducing Platelet Exosomes-Derived MiR-let-7a.
Bei-Li XIE ; Bo-Ce SONG ; Ming-Wang LIU ; Wei WEN ; Yu-Xin YAN ; Meng-Jie GAO ; Lu-Lian JIANG ; Zhi-Die JIN ; Lin YANG ; Jian-Gang LIU ; Da-Zhuo SHI ; Fu-Hai ZHAO
Chinese journal of integrative medicine 2025;31(3):228-239
OBJECTIVE:
To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment.
METHODS:
ApoE-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation.
RESULTS:
Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36.
CONCLUSION
Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals
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MicroRNAs/genetics*
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Exosomes/drug effects*
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Plaque, Atherosclerotic/genetics*
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Neovascularization, Pathologic/genetics*
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Human Umbilical Vein Endothelial Cells/metabolism*
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Humans
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Blood Platelets/drug effects*
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Apolipoproteins E/deficiency*
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Thrombospondin 1/metabolism*
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CD36 Antigens/metabolism*
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Platelet Activation/drug effects*
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Male
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Mice
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Mice, Inbred C57BL
8.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*
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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
9.Relapse-related candidate genes and their clinicopathological connections of diffuse large B cell lymphoma
Yuxi GONG ; Yefan YANG ; Shuning SUN ; Rumeng BAI ; Shuaishuai ZHUO ; Yang SHAO ; Kaihua LIU ; Yuqian SHI ; Zhihong ZHANG
Chinese Journal of Pathology 2025;54(4):348-353
Objective:To explore the relapse-related genes and their clinicopathological connections of diffuse large B cell lymphoma (DLBCL).Methods:Targeted panel sequencing was conducted on 32 eligible DLBCL samples; the patients were diagnosed, treated, and went into complete remission at the First Affiliated Hospital of Nanjing Medical University from January 2015 to December 2019, including 14 cases with recurrence (relapsed group) and 18 cases with long-term complete remission of over five years (remission group). Clinical and pathological data were further reviewed. Fisher′s exact test was employed to compare the differences in clinicopathological characteristics and mutation patterns between the two groups.Results:Among the 32 patients, there were 18 males and 14 females, with a male to female ratio of 1.3∶1.0 and a median age of 53 (45.5, 67.0) years. In the relapsed group, PIM1 (11/14), KMT2D (7/14), PRDM1 (6/14), MYD88 (6/14), DTX1 (6/14) emerged as the most frequently mutated genes. In the remission group, while recurrent PIM1, KMT2D and MYD88 mutations were also observed, the TP53 gene exhibited the highest mutation frequency (6/18). Compared to the remission group, relapsed group showed elevated mutation frequencies of PIM1 ( P=0.013) and FAT4 ( P=0.010), alongside a reduced incidence of TP53 mutations. In all 32 patients, DLBCL with CD79B, CCND3, DTX1, KMT2D and PRDM1 mutations demonstrated a propensity towards advanced clinicopathologic stage. Conclusions:Relapsed DLBCL has distinctive clinicopathological and genetic features. PIM1 and FAT4 may be served as potential biomarkers for screening relapsed DLBCL-NOS and as targets for novel therapeutic strategies.
10.Construction of a Colorectal Cancer Prognostic Risk Model Based on Disulfide Death Associated Long-Chain Non Coding Ribonucleic Acids
Xiang-wei FU ; Shi-qiang XIANG ; Zhuo LIN
Progress in Modern Biomedicine 2025;25(10):1601-1612
Objective:This study aims to construct a colorectal cancer(CRC)prognosis prediction model based on disulfide death associated long-chain non coding ribonucleic acids(DRLncRNAs),and to explore its potential application in predicting prognosis and guiding personalized treatment.Methods:The data for this study was sourced from the Cancer Genome Atlas(TCGA)database,which includes RNA sequencing data and detailed clinical information of CRC patients.Using co expression network analysis to screen DRLncRNAs.Preliminary screening of DRLncRNAs related to prognosis was conducted through univariate Cox regression analysis,followed by variable screening and dimensionality reduction using LASSO Cox regression analysis.Finally,key DRLncRNAs for constructing a prognostic risk model were identified through multivariate Cox regression analysis.Evaluate the predictive ability of prognostic risk models for survival in CRC patients through Kaplan Meier survival curve analysis.The accuracy of the model was analyzed using receiver operating characteristic(ROC)curves,and the ability of different gene expression profiles to distinguish risk stratification was evaluated using principal component analysis(PCA).Gene ontology(GO)and KEGG enrichment analysis were used to evaluate the enrichment of high and low expression gene sets in different risk groups.Results:Five key DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)were successfully screened.In the overall concentration,the area under the curve(AUC)of the model's 1-year,3-year,and 5-year survival predictions are 0.674,0.746,and 0.727,respectively;In the training set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.669,0.762,and 0.756,respectively;In the test set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.666,0.725,and 0.697,respectively.SNHG16 and AC073896.3 are protective factors,and high expression was associated with better prognosis;ZEB1-AS1,AC068580.3,and AL161729.4 were risk factors,and high expression indicates poor prognosis.The Kaplan Meier survival analysis results showed that there was a significant difference in survival between the high-risk and low-risk groups(P<0.05),and the overall survival rate of the high-risk group was significantly lower(P<0.05).The enrichment analysis results showed that the phosphatidylinositol mediated signal transduction,mitochondrial gene expression,and other biological processes related to 5 DRLncRNAs may be involved in the occurrence,development,and poor prognosis of CRC.The results of this study showed that a prognostic risk model based on five DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)was successfully established,which showed independent correlation with the overall survival status of CRC patients.In addition,the prognostic risk model constructed based on these 5 DRLncRNAs can effectively predict the prognosis of CRC patients.Conclusion:This study identified five DRLncRNAs,including AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16,that are associated with the prognosis of CRC patients.The prognostic risk model constructed based on these five DRLncRNAs has a high evaluation efficiency for the prognosis of CRC patients.

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