1.Mechanism of Daotan Xixin Decoction in treating APP/PS1 mice based on high-throughput sequencing technology and bioinformatics analysis.
Bo-Lun CHEN ; Jian-Zheng LU ; Xin-Mei ZHOU ; Xiao-Dong WEN ; Yuan-Jing JIANG ; Ning LUO
China Journal of Chinese Materia Medica 2025;50(2):301-313
This study aims to investigate the therapeutic effect and mechanism of Daotan Xixin Decoction on APP/PS1 mice. Twelve APP/PS1 male mice were randomized into four groups: APP/PS1 and low-, medium-, and high-dose Daotan Xixin Decoction. Three C57BL/6 wild-type mice were used as the control group. The learning and memory abilities of mice in each group were examined by the Morris water maze test. The pathological changes of hippocampal nerve cells were observed by hematoxylin-eosin staining and Nissl staining. Immunohistochemistry was employed to detect the expression of β-amyloid(Aβ)_(1-42) in the hippocampal tissue. The high-dose Daotan Xixin Decoction group with significant therapeutic effects and the model group were selected for high-throughput sequencing. The differentially expressed gene(DEG) analysis, Gene Ontology(GO) analysis, Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis, and Gene Set Variation Analysis(GSVA) were performed on the sequencing results. RT-qPCR and Western blot were conducted to determine the mRNA and protein levels, respectively, of some DEGs. Compared with the APP/PS1 group, Daotan Xixin Decoction at different doses significantly improved the learning and memory abilities of APP/PS1 mice, ameliorated the neuropathological damage in the CA1 region of the hippocampus, increased the number of neurons, and decreased the deposition of Aβ_(1-42) in the brain. A total of 1 240 DEGs were screened out, including 634 genes with up-regulated expression and 606 genes with down-regulated expression. The GO analysis predicted the biological processes including RNA splicing and protein folding, the cellular components including spliceosome complexes and nuclear spots, and the molecular functions including unfolded protein binding and heat shock protein binding. The KEGG pathway enrichment analysis revealed the involvement of neurodegenerative disease pathways, amyotrophic lateral sclerosis, and splicing complexes. Further GSVA pathway enrichment analysis showed that the down-regulated pathways involved nuclear factor-κB(NF-κB)-mediated tumor necrosis factor-α(TNF-α) signaling pathway, UV response, and unfolded protein response, while the up-regulated pathways involved the Wnt/β-catenin signaling pathway. The results of RT-qPCR and Western blot showed that compared with the APP/PS1 group, Daotan Xixin Decoction at different doses down-regulated the mRNA and protein levels of signal transducer and activator of transcription 3(STAT3), NF-κB, and interleukin-6(IL-6) in the hippocampus. In conclusion, Daotan Xixin Decoction can improve the learning and memory abilities of APP/PS1 mice by regulating the STAT3/NF-κB/IL-6 signaling pathway.
Animals
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Drugs, Chinese Herbal/administration & dosage*
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Mice
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Male
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Alzheimer Disease/metabolism*
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Computational Biology
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Mice, Inbred C57BL
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High-Throughput Nucleotide Sequencing
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Amyloid beta-Protein Precursor/metabolism*
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Hippocampus/metabolism*
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Mice, Transgenic
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Presenilin-1/metabolism*
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Humans
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Memory/drug effects*
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Maze Learning/drug effects*
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Amyloid beta-Peptides/genetics*
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Disease Models, Animal
2.Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine.
Xin-Ran DU ; Meng-Yi WU ; Mao-Can TAO ; Ying LIN ; Chao-Ying GU ; Min-Feng WU ; Yi CAO ; Da-Can CHEN ; Wei LI ; Hong-Wei WANG ; Ying WANG ; Yi WANG ; Han-Zhi LU ; Xin LIU ; Xiang-Fei SU ; Fu-Lun LI
Journal of Integrative Medicine 2025;23(6):641-653
Traditional Chinese medicine (TCM) is a well-accepted therapy for atopic dermatitis (AD). However, there are currently no evidence-based guidelines integrating TCM and Western medicine for the treatment of AD, limiting the clinical application of such combined approaches. Therefore, the China Association of Chinese Medicine initiated the development of the current guideline, focusing on key issues related to the use of TCM in the treatment of AD. This guideline was developed in accordance with the principles of the guideline formulation manual published by the World Health Organization. A comprehensive review of the literature on the combined use of TCM and Western medicine to treat AD was conducted. The findings were extensively discussed by experts in dermatology and pharmacy with expertise in both TCM and Western medicine. This guideline comprises 23 recommendations across seven major areas, including TCM syndrome differentiation and classification of AD, principles and application scenarios of TCM combined with Western medicine for treating AD, outcome indicators for evaluating clinical efficacy of AD treatment, integration of TCM pattern classification and Western medicine across disease stages, daily management of AD, the use of internal TCM therapies and proprietary Chinese medicines, and TCM external treatments. Please cite this article as: Du XR, Wu MY, Tao MC, Lin Y, Gu CY, Wu MF, Cao Y, Chen DC, Li W, Wang HW, Wang Y, Wang Y, Lu HZ, Liu X, Su XF, Li FL. Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine. J Integr Med. 2025; 23(6):641-653.
Dermatitis, Atopic/drug therapy*
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Humans
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Medicine, Chinese Traditional/methods*
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Integrative Medicine
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Drugs, Chinese Herbal/therapeutic use*
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Practice Guidelines as Topic
3.Mechanosensory activation of Piezo1 via cupping therapy: Harnessing neural networks to modulate AMPK pathway for metabolic restoration in a mouse model of psoriasis.
Ruo-Fan XI ; Xin LIU ; Yi WANG ; Han-Zhi LU ; Shao-Jie YUAN ; Dong-Jie GUO ; Jian-Yong ZHU ; Fu-Lun LI ; Yan-Juan DUAN
Journal of Integrative Medicine 2025;23(6):721-732
OBJECTIVE:
Psoriasis, a common chronic inflammatory skin condition with genetic underpinnings, is traditionally managed with cupping therapy. Although used historically, the precise mechanical effects and therapeutic mechanisms of cupping in psoriasis remain largely unexamined. This study aimed to evaluate cupping therapy's efficacy for psoriasis and investigate its role in modulating inflammatory responses and cellular metabolism.
METHODS:
Psoriasis was induced in mice using topical imiquimod (IMQ). The effects of cupping on psoriatic lesions were assessed using the Psoriasis Area and Severity Index score, histology, immunohistochemistry, and immunofluorescence staining. polymerase chain reaction sequencing (RNA-seq) and Western blotting were conducted to examine changes in mRNA expression and the AMP-activated protein kinase (AMPK) signaling pathway.
RESULTS:
Cupping therapy significantly reduced inflammation, epidermal thickness, and inflammatory cell infiltration in mice with IMQ-induced psoriasis. Immunohistochemistry and immunofluorescence showed lower expression of inflammatory markers and a shift in T-cell populations. RNA-seq and Western blotting indicated that cupping upregulated Piezo1 and activated the AMPK pathway, improving energy metabolism in psoriatic skin.
CONCLUSION
Cupping therapy reduces epidermal hyperproliferation and inflammation in psoriasis, rebalancing the local immune microenvironment. Mechanistically, cupping promotes calcium influx via Piezo1, activates AMPK signaling, and supports metabolic homeostasis, suggesting therapeutic potential for psoriasis. Please cite this article as: Xi RF, Liu X, Wang Y, Lu HZ, Yuan SJ, Guo DJ, Zhu JY, Li FL, Duan YJ. Mechanosensory activation of Piezo1 via cupping therapy: Harnessing neural networks to modulate AMPK pathway for metabolic restoration in a mouse model of psoriasis. J Integr Med. 2025; 23(6):721-732.
Animals
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Psoriasis/chemically induced*
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Mice
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AMP-Activated Protein Kinases/metabolism*
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Disease Models, Animal
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Cupping Therapy/methods*
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Signal Transduction
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Imiquimod
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Ion Channels/genetics*
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Male
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Mechanotransduction, Cellular
4.Associations between Red Cell Indices and Cerebral Blood Flow Velocity in High Altitude.
Hao Lun SUN ; Tai Ming ZHANG ; Dong Yu FAN ; Hao Xiang WANG ; Lu Ran XU ; Qing DU ; Jun LIANG ; Li ZHU ; Xu WANG ; Li LEI ; Xiao Shu LI ; Wang Sheng JIN
Biomedical and Environmental Sciences 2025;38(10):1314-1319
5.Effects of Total Intravenous Anesthesia and Inhalational Anesthesia on Postoperative Recovery in Patients Undergoing Transsphenoidal Pituitary Surgery:A Systematic Review.
Yun-Ying FENG ; Yu-Pei ZHANG ; Yue-Lun ZHANG ; Bing XING ; Wei LIAN ; Xiao-Peng GUO ; Lu-Lu MA ; Yu-Guang HUANG
Acta Academiae Medicinae Sinicae 2025;47(3):434-440
Objective To systematically evaluate the effects of total intravenous anesthesia and inhalational anesthesia on postoperative recovery in patients undergoing transsphenoidal pituitary tumor resection.Methods A comprehensive search was conducted in international biomedical databases including Ovid Medline,Embase,CINAHL(EBSCO),Cochrane Library,and Web of Science,from inception to July 4,2023.Additionally,ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform were searched for ongoing and completed trials.The randomized controlled trials(RCT)comparing total intravenous anesthesia and inhalational anesthesia in patients undergoing transsphenoidal surgery for pituitary tumors were included.The methodological quality of the included studies was evaluated by the Cochrane Collaboration tool.Relevant data were extracted and synthesized for analysis.Results A total of 327 records were identified,of which eight RCTs met the inclusion criteria.Four studies showed that the patients receiving desflurane or sevoflurane anesthesia experienced faster emergence from anesthesia than those receiving propofol.Two studies indicated that patients in the propofol group had lower levels of emergence agitation and a lower incidence of early postoperative nausea and vomiting.The results on postoperative cognitive function were inconsistent across studies.No differences were found between the groups in terms of postoperative complications or overall recovery quality during hospitalization.Conclusions Inhalational anesthesia appears to provide an advantage in promoting faster emergence following transsphenoidal pituitary surgery,whereas total intravenous anesthesia may contribute to smoother and more stable recovery.Further high-quality studies are needed to clarify the effects of different anesthetic techniques on both short- and long-term postoperative recovery.
Humans
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Anesthesia, Intravenous
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Pituitary Neoplasms/surgery*
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Anesthesia, Inhalation
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Randomized Controlled Trials as Topic
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Anesthesia Recovery Period
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Pituitary Gland/surgery*
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Postoperative Period
6.Construction of a prognostic model for bladder cancer based on loss-of-nest apoptosis-related genes
Lu WANG ; Lin CHEN ; Yan-lun GU ; Bing-qi DONG ; Jie CHEN ; Yi-min CUI
The Chinese Journal of Clinical Pharmacology 2025;41(2):240-244
Objective To develop a prognostic risk model for anoikis-related genes(ANRs)in bladder cancer,calculate risk scores,and analyze the relationship between bladder cancer patients with high and low risk scores and the tumor microenvironment.Methods Prognosis-related ANRs and clinically independent risk factors were screened by public database information and Cox regression analysis.Prognostic risk modeling was performed by least absolute shrinkage and selection operator(LASSO)analysis and column-line diagrams.Prognostic risk model accuracy was validated by kaplan-meier survival analysis and area under receiver operating characteristic curve(ROC)curve(AUC).The relationship between risk score and tumor microenvironment was explored by CIBERSORT(https://cibersortx.stanford.edu/)and single sample gene set enrichment analysis(ssGSEA).Results The prognostically relevant ANRs were B-lymphoblastoma-2-associated promoter(BAD),cell cycle protein-dependent kinase inhibitor 3(CDKN3),and proliferating cell nuclear antigen(PCNA),and the clinically independent risk factors were gender,age,clinical stage(T,N),and risk score.The prognostic risk model was expressed as risk score=(0.155 2 × BAD expression)+(0.2286 × CDKN3 expression)+(0.0114×PCNA expression)and column line graph.The lower the risk score the better the prognosis of bladder cancer patients,the AUC of the survival curves for 1,3 and 5 years were 0.732,0.620 and 0.541,respectively,and the column line graphs of the 1-,3-and 5-year calibration curves almost corresponded diagonally,reflecting the accuracy of the model.The high and low risk groups of the prognostic risk model showed great differences in immune cell infiltration in the tumor microenvironment of bladder cancer.Conclusion The established prognostic risk model for bladder cancer loss of apoptosis-related genes is highly accurate and can better assess the prognosis of bladder cancer patients,and bladder cancer patients with high and low risk scores are closely related to the tumor microenvironment.
7.Effects of esculin combined with bone marrow mesenchymal stem cell transplantation on the repair of spinal cord injury in rats
Wei-ming YANG ; Chao-lun LIANG ; Ling CHEN ; Jin-jin LI ; Si-lu LIU ; Kun-rui ZHENG ; Dian-weng XIE ; Xing LI
Chinese Traditional Patent Medicine 2025;47(5):1486-1493
AIM To investigate the promotional effects of esculin combined with bone marrow mesenchymal stem cells(BM-MSCs)transplantation on the repair of spinal cord injury(SCI)in rats.METHODS The rats were randomly divided into the sham operation group,the model group,the esculin group for gavage of 20 mg/kg esculin,the BM-MSCs group for tail vein injection of 1 mL of 1×106/mL BM-MSCs,and the combinaiton treatment group.The SCI rat model was established using Allen's method,followed by the 14 days consecutive corresponding drug administration starting from the 2nd day after modeling.On days 3,7 and 14 of drug administration,the rats had their hind limbs motor function evaluated by the BBB scoring;and their footprint experiment conducted on the 14th day after modeling.After 14 days of administration,the rats had their morphological changes of spinal cord tissue observed with HE staining and Nissl staining;their activities of SOD and GSH,and level of MDA in spinal cord tissue detected by kits;their expressions of MAP2,GAP43 and GFAP in spinal cord tissue detected by immunofluorescence;and their expressions of NQO-1,Nrf-2,Bcl-2 and Bax proteins in spinal cord tissue detected by Western blot.RESULTS Compared with the model group,the groups interved with esculin,or BM-MSCs,or the combination treatment showed improvements in hind limb function and spinal cord tissue morphology(P<0.05);decreased MDA levels(P<0.05);increased SOD and GSH activities(P<0.05);increased MAP2 and GAP43 fluorescence intensity(P<0.05);decreased GFAP fluorescence intensity(P<0.05);increased NQO-1,Nrf-2 and Bcl-2 protein expressions(P<0.05);and decreased Bax protein expression(P<0.05).And the combination treatment group was observed with an even better effects(P<0.05).CONCLUSION The combination of esculin and BM-MSCs transplantation can effectively improve the spinal cord tissue damage and hind limb function in SCI rats.This effect may be achieved by activating the Nrf-2/NQO-1 signaling pathway to inhibit oxidative stress response,thereby reducing neuronal apoptosis,blocking glial scar formation,and promoting stem cell differentiation to rebuild neurons.
8.Construction of a prognostic model for bladder cancer based on loss-of-nest apoptosis-related genes
Lu WANG ; Lin CHEN ; Yan-lun GU ; Bing-qi DONG ; Jie CHEN ; Yi-min CUI
The Chinese Journal of Clinical Pharmacology 2025;41(2):240-244
Objective To develop a prognostic risk model for anoikis-related genes(ANRs)in bladder cancer,calculate risk scores,and analyze the relationship between bladder cancer patients with high and low risk scores and the tumor microenvironment.Methods Prognosis-related ANRs and clinically independent risk factors were screened by public database information and Cox regression analysis.Prognostic risk modeling was performed by least absolute shrinkage and selection operator(LASSO)analysis and column-line diagrams.Prognostic risk model accuracy was validated by kaplan-meier survival analysis and area under receiver operating characteristic curve(ROC)curve(AUC).The relationship between risk score and tumor microenvironment was explored by CIBERSORT(https://cibersortx.stanford.edu/)and single sample gene set enrichment analysis(ssGSEA).Results The prognostically relevant ANRs were B-lymphoblastoma-2-associated promoter(BAD),cell cycle protein-dependent kinase inhibitor 3(CDKN3),and proliferating cell nuclear antigen(PCNA),and the clinically independent risk factors were gender,age,clinical stage(T,N),and risk score.The prognostic risk model was expressed as risk score=(0.155 2 × BAD expression)+(0.2286 × CDKN3 expression)+(0.0114×PCNA expression)and column line graph.The lower the risk score the better the prognosis of bladder cancer patients,the AUC of the survival curves for 1,3 and 5 years were 0.732,0.620 and 0.541,respectively,and the column line graphs of the 1-,3-and 5-year calibration curves almost corresponded diagonally,reflecting the accuracy of the model.The high and low risk groups of the prognostic risk model showed great differences in immune cell infiltration in the tumor microenvironment of bladder cancer.Conclusion The established prognostic risk model for bladder cancer loss of apoptosis-related genes is highly accurate and can better assess the prognosis of bladder cancer patients,and bladder cancer patients with high and low risk scores are closely related to the tumor microenvironment.
9.Effects of esculin combined with bone marrow mesenchymal stem cell transplantation on the repair of spinal cord injury in rats
Wei-ming YANG ; Chao-lun LIANG ; Ling CHEN ; Jin-jin LI ; Si-lu LIU ; Kun-rui ZHENG ; Dian-weng XIE ; Xing LI
Chinese Traditional Patent Medicine 2025;47(5):1486-1493
AIM To investigate the promotional effects of esculin combined with bone marrow mesenchymal stem cells(BM-MSCs)transplantation on the repair of spinal cord injury(SCI)in rats.METHODS The rats were randomly divided into the sham operation group,the model group,the esculin group for gavage of 20 mg/kg esculin,the BM-MSCs group for tail vein injection of 1 mL of 1×106/mL BM-MSCs,and the combinaiton treatment group.The SCI rat model was established using Allen's method,followed by the 14 days consecutive corresponding drug administration starting from the 2nd day after modeling.On days 3,7 and 14 of drug administration,the rats had their hind limbs motor function evaluated by the BBB scoring;and their footprint experiment conducted on the 14th day after modeling.After 14 days of administration,the rats had their morphological changes of spinal cord tissue observed with HE staining and Nissl staining;their activities of SOD and GSH,and level of MDA in spinal cord tissue detected by kits;their expressions of MAP2,GAP43 and GFAP in spinal cord tissue detected by immunofluorescence;and their expressions of NQO-1,Nrf-2,Bcl-2 and Bax proteins in spinal cord tissue detected by Western blot.RESULTS Compared with the model group,the groups interved with esculin,or BM-MSCs,or the combination treatment showed improvements in hind limb function and spinal cord tissue morphology(P<0.05);decreased MDA levels(P<0.05);increased SOD and GSH activities(P<0.05);increased MAP2 and GAP43 fluorescence intensity(P<0.05);decreased GFAP fluorescence intensity(P<0.05);increased NQO-1,Nrf-2 and Bcl-2 protein expressions(P<0.05);and decreased Bax protein expression(P<0.05).And the combination treatment group was observed with an even better effects(P<0.05).CONCLUSION The combination of esculin and BM-MSCs transplantation can effectively improve the spinal cord tissue damage and hind limb function in SCI rats.This effect may be achieved by activating the Nrf-2/NQO-1 signaling pathway to inhibit oxidative stress response,thereby reducing neuronal apoptosis,blocking glial scar formation,and promoting stem cell differentiation to rebuild neurons.
10.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

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