1.Mechanism of Icariin in Regulating TGF-β1/Smad Pathway to Induce Autophagy in Human Bone Microvascular Endothelial Cells
Yaqi ZHANG ; Yankun JIANG ; Guoyuan SUN ; Bo LI ; Ran DING ; Cheng HUANG ; Weiguo WANG ; Qidong ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(5):123-130
ObjectiveTo investigate the regulatory effect of icariin (ICA) on transforming growth factor-β1 (TGF-β1)/Smad pathway in bone microvascular endothelial cells (BMECs) and the effect on autophagy in BMECs. MethodsBMECs were isolated and cultured, and the cell types were identified by immunofluorescence. Cells were divided into the control group, model group (0.1 g·L-1 methyl prednisolone), ICA group (0.1 g·L-1 methyl prednisolone +1×10-5 mol·L-1 ICA), and TGF-β inhibitor group (0.1 g·L-1 methyl prednisolone +1×10-5 mol·L-1 ICA +1×10-5 mol·L-1 LY2157299). Transmission electron microscopy was used to observe the ultrastructure and autophagosome number of BMECs. Autophagy double-standard adenovirus was used to monitor the confocal autophagy flow generation of each cell. Real-time quantitative polymerase chain reaction (Real-time PCR) and Western blot were used to detect the gene and protein expression of autophagy in the TGF-β1/ Smad pathway. ResultsAfter cell separation culture, platelet endothelial cell adhesion molecule (CD31) and von willebrand factor (vWF) immunofluorescence identified BMECs. Transmission electron microscopy showed that the cell membrane was damaged, and the nucleus was pyknotic and broken in the model group. Compared with the model group, the ICA group had complete cell membranes, clear structures, with autophagy-lysosome sparsely distributed. The confocal photo showed that BMECs had autophagosomes and autophagy-lysosomes, and the autophagy expression of the ICA group was similar to that of the blank group. Compared with the blank group, in the model group and the LY2157299 group, autophagosomes and autophagy-lysosomes were barely seen in the autophagy flow. Compared with the blank group, the mRNA and protein expressions of autophagy effector protein 1 (Beclin1) and microtubule-associated protein 1 light chain 3B (LC3B) in the model group were significantly decreased (P<0.01), and those of ubiquitin-binding protein (p62) were significantly increased (P<0.01). The mRNA expression of TGF-β1, Smad homolog 2 (Smad2), and Smad homolog 3 (Smad3) decreased (P<0.05, P<0.01). The protein expressions of TGF-β1, p-Smad2, and p-Smad3 were significantly decreased (P<0.01). Compared with those of the model group, the mRNA and protein expression of Beclin1 and LC3B in BMECs of the ICA group increased (P<0.01), and those of p62 significantly reduced (P<0.01). The mRNA expression of TGF-β1, Smad2, and Smad3 increased significantly (P<0.01). The protein expression of TGF-β1, p-Smad2, and p-Smad3 increased significantly (P<0.01). Compared with those in the model group, the mRNA and protein expressions of Beclin1, LC3B, and p62 in the inhibitor group were not statistically significant. The expression of key genes and proteins of the TGF-β1 pathway in the inhibitor group was not statistically significant. ConclusionICA can promote glucocorticoid-induced autophagy expression of BMECs, and its mechanism may be related to activating the TGF-β1/Smad signaling pathway.
2.Mechanism of Traditional Chinese Medicine in Treating Steroid-Induced Osteonecrosis of Femoral Head via Regulating PI3K/Akt Pathway: A Review
Yaqi ZHANG ; Bo LI ; Jiancheng TANG ; Ran DING ; Cheng HUANG ; Yaping XU ; Qidong ZHANG ; Weiguo WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(5):141-149
Steroid-induced osteonecrosis of the femoral head (SONFH) is a severe musculoskeletal disorder often induced by the prolonged or excessive use of glucocorticoids. Characterized by ischemia of bone cells, necrosis, and trabecular fractures, SONFH is accompanied by pain, femoral head collapse, and joint dysfunction, which can lead to disability in severe cases. The pathogenesis of SONFH involves hormone-induced osteoblast apoptosis, bone microvascular endothelial cell (BMEC) apoptosis, oxidative stress, and inflammatory responses. The phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) signaling pathway plays a pivotal role in the development of the disease. Modulating the PI3K/Akt signaling pathway can promote Akt phosphorylation, thereby stimulating the osteogenic differentiation of bone marrow mesenchymal stem cells and osteoblasts, promoting angiogenesis in BMECs, and inhibiting osteoclastogenesis. The research on the treatment of SONFH with traditional Chinese medicine (TCM) has gained increasing attention. Recent studies have shown that TCM monomers and compounds have potential therapeutic effect on SONFH by intervening in the PI3K/Akt signaling pathway. These studies not only provide a scientific basis for the application of TCM in the treatment of SONFH but also offer new ideas for the development of new therapeutic strategies. This review summarized the progress in Chinese and international research on the PI3K/Akt signaling pathway in SONFH over the past five years. It involved the composition and transmission mechanisms of the signaling pathway, as well as its regulatory effects on osteoblasts, mesenchymal stem cells, osteoclasts, BMECs, and other cells. Additionally, the review explored the TCM understanding of SONFH and the application of TCM monomers and compounds in the intervention of the PI3K/Akt pathway. By systematically analyzing and organizing these research findings, this article aimed to provide references and point out directions for the clinical prevention and treatment of SONFH and promote further development of TCM in this field. With in-depth research on the PI3K/Akt pathway and the modern application of TCM, it is expected to bring safer and more effective treatment options for patients with SONFH.
3.Conbercept and Dexamethasone intravitreal implant in treating diabetic macular edema with different optical coherence tomography types
Mei HU ; Bo LI ; Xinmiao HU ; Yaqi HUANG
International Eye Science 2025;25(4):551-557
AIM: To investigate the efficacy and safety of dexamethasone versus conbercept in the treatment of diabetic macular edema(DME)with different optical coherence tomography(OCT)subtypes.METHODS: A total of 160 DME patients(160 eyes)admitted to our hospital from January 2021 to March 2023 were prospectively selected, and the patients were randomly divided into dexamethasone intravitreal implant group and conbercept group, with 80 cases(80 eyes)in each group, and DME patients were divided into 51 eyes with serous retinal detachment(SRD), 55 eyes with cystoid macular edema(CME), and 54 eyes with diffuse retinal thickening(DRT)according to OCT characteristics. The best corrected visual acuity(BCVA), central macular thickness(CMT), intraocular pressure and adverse reactions were compared before treatment and at 2, 3 and 6 mo postoperatively.RESULTS: There were differences in BCVA, CMT and intraocular pressure between the two groups at 2, 3 and 6 mo compared with those before operation(all P<0.05). There were differences in BCVA, CMT and intraocular pressure between the dexamethasone intravitreal implant group and the conbercept group in the treatment of patients with different types of DME(all P<0.05). The BCVA of patients with DRT and SRD types in the dexamethasone intravitreal implant group was improved at 3 and 6 mo after treatment compared with that in the conbercept group(all P<0.05). At 6 mo after treatment, the CMT of patients with DRT type in the dexamethasone intravitreal implant group was lower than that in the conbercept group(P<0.05). During the follow-up period, none of the patients experienced adverse events such as cataract exacerbation or retinal detachment.CONCLUSION: Both dexamethasone intravitreal implant and conbercept treatment can improve visual function and macular retinal morphology in patients with different OCT subtypes of DME with good safety, but the dexamethasone intravitreal implant is better than conbercept in the treatment of DRT type.
4.Analysis on Acupuncture in the Treatment of Post-stroke Dysphagia Based on the Theory of "Latent Pathogen in Cerebral Collaterals"
Hongtao LI ; Yaqi HUANG ; Lulu YAO ; Bing GAO ; Yu YE ; Nenggui XU ; Lin WANG
Journal of Traditional Chinese Medicine 2025;66(9):901-905
Dysphagia is a common complication of stroke. Combining the principles of traditional Chinese medicine with modern research findings, it is proposed that "latent pathogen in the cerebral collaterals" constitutes the core pathogenesis of post-stroke dysphagia (PSD). In clinical practice, treatment is tailored according to the location of PSD. During the oral stage, when the pathogen invades the face and mouth, resulting in excessive salivation, acupoints are primarily selected from the foot shaoyin (少阴) kidney channel, in combination with ren mai (任脉) , du mai (督脉), chong mai (冲脉) and the spleen channel, to replenish essence and fill the marrow, dispel dampness and unblock the channels. In the pharyngeal stage, as the pathogen obstructs the throat, disrupting normal swallowing, the therapy emphasizes dredging the shaoyang (少阳) channel and warming and tonifying the jueyin (厥阴) channel, by taking acupoints mainly from the hand and foot shaoyang channels, along with the jueyin channels, so as to soothe the liver and promote bile secretion, regulate and harmonize qi and blood. During the esophageal stage, where the pathogen damages the esophagus, impeding food passage, the treatment emphasizes activating the yangming (阳明) channels and regulating taiyin (太阴) channels; acupoints are mainly selected from the foot yangming stomach channel, along with the taiyin channels, aiming to warm yang, unblock the channels and dispel stasis.
5.Application of Jacobian determinant of reverse deformation field to evaluation of deformation registration algorithm
Enting LI ; Wanjia ZHENG ; Jinxing LIAN ; Weiting ZHU ; Su ZHOU ; Yaqi AN ; Sijuan HUANG ; Xin YANG
Chinese Journal of Radiological Medicine and Protection 2024;44(2):133-139
Objective:To effectively quantify and evaluate the quality of different deformation registration algorithms, in order to enhance the possibility of implementing deformation registration in clinical practice.Methods:The Jacobian determinant mean (JDM) is proposed based on the Jacobian determinant (JD) of displacement vector field (DVF), and the Jacobian determinant error (DJDE) is introduced by incorporating the JD of the inverse DVF. The optical flow method (OF-DIR) and fast demons method with elastic regularization (FD-DIR) were tested on nasopharyngeal and lung cancer datasets. Finally, JDM and DJDE with the Jacobian determinant negative percentage (JDNP), inverse consistency error (ICE) and normalized mean square error (NMSE) were used to evaluate the registration algorithms and compare the differences evaluation indicators in different tumor images and different algorithms, and the receiver operating curve (ROC) was analyzed in evaluation.Results:In lung cancer, OF-DIR outperformed FD-DIR in terms of JDM, NMSE, DJDE and ICE, and the difference was statistically significant( z = -2.24, -4.84, t = 4.01, 6.54, P<0.05). In nasopharyngeal carcinoma, DJDE, ICE and NMSE of OF-DIR were superior to FD-DIR, and the difference was statistically significant ( t = 4.46, -7.49, z = -2.22, P<0.05), but there was no significant difference in JDM ( P>0.05). In lung cancer and nasopharyngeal carcinoma, JDNP of OF-DIR was worse than that of FD-DIR, and the difference was statistically significant ( z = -4.29, -4.02, P<0.01). In addition, DJDE is more specific and sensitive on ROC curve (AUC=0.77), and has different performance result for tumor images at different sites. Conclusions:The JDM and DJDE evaluation metrics proposed are effective for deformation registration algorithms. OF-DIR is suitable for both lung cancer and nasopharyngeal carcinoma, while the influence of organ motion on the registration effect should be considered when using FD-DIR.
6.Postoperative Patient-controlled Analgesia: Thirty Years of Clinical Experience in Peking Union Medical College Hospital
Lin ZHAO ; Liying REN ; Weihua NIE ; Yaqi CHEN ; Jie ZHANG ; Shengjie ZHANG ; Yingli WANG ; Cuicui DIAO ; Huiying MA ; Zheng ZHANG ; Li ZHOU ; Le SHEN ; Huizhen WANG ; Yuguang HUANG
Medical Journal of Peking Union Medical College Hospital 2024;15(2):239-245
Postoperative pain seriously affects the recovery process of patients, resulting in prolonged hospital stay and increased care costs. Appropriate application of patient-controlled analgesia devices can effectively relieve perioperative acute pain. In 1994 patient-controlled analgesia began to be used in Peking Union Medical College Hospital, and the Acute Pain Service Working Group was established in 2004. With the cooperation of anesthesiologists and specialist nurses, the group jointly has implemented the whole process and standardized management based on patient-controlled analgesia, and constantly improved and innovated working methods, laying a solid foundation for the development of postoperative pain management. This paper systematically reviews and summarizes the work from the aspects of clinical focus, nursing management experience, promotion and dissemination of pain treatment concepts, and development of acute pain service model under the new situation, with the hope of providing valuable reference for comprehensively strengthening pain management in the process of diagnosis and treatment, and enhancing patients' satisfaction with perioperative analgesia services.
7.Single-cell transcriptomics reveals cell atlas and identifies cycling tumor cells responsible for recurrence in ameloblastoma
Xiong GAN ; Xie NAN ; Nie MIN ; Ling RONGSONG ; Yun BOKAI ; Xie JIAXIANG ; Ren LINLIN ; Huang YAQI ; Wang WENJIN ; Yi CHEN ; Zhang MING ; Xu XIUYUN ; Zhang CAIHUA ; Zou BIN ; Zhang LEITAO ; Liu XIQIANG ; Huang HONGZHANG ; Chen DEMENG ; Cao WEI ; Wang CHENG
International Journal of Oral Science 2024;16(2):251-264
Ameloblastoma is a benign tumor characterized by locally invasive phenotypes,leading to facial bone destruction and a high recurrence rate.However,the mechanisms governing tumor initiation and recurrence are poorly understood.Here,we uncovered cellular landscapes and mechanisms that underlie tumor recurrence in ameloblastoma at single-cell resolution.Our results revealed that ameloblastoma exhibits five tumor subpopulations varying with respect to immune response(IR),bone remodeling(BR),tooth development(TD),epithelial development(ED),and cell cycle(CC)signatures.Of note,we found that CC ameloblastoma cells were endowed with stemness and contributed to tumor recurrence,which was dominated by the EZH2-mediated program.Targeting EZH2 effectively eliminated CC ameloblastoma cells and inhibited tumor growth in ameloblastoma patient-derived organoids.These data described the tumor subpopulation and clarified the identity,function,and regulatory mechanism of CC ameloblastoma cells,providing a potential therapeutic target for ameloblastoma.
8.Screening of key immune-related gene in Parkinson's disease based on WGCNA and machine learning
Yiming HUANG ; Aimin WANG ; Fenglin WANG ; Yaqi XU ; Wenjing ZHANG ; Fuyan SHI ; Suzhen WANG
Journal of Central South University(Medical Sciences) 2024;49(2):207-219
Objective:Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease.However,we still don't fully understand how certain immune-related genes contribute to the disease's development and progression.This study aims to screen key immune-related gene in Parkinson's disease based on weighted gene co-expression network analysis(WGCNA)and machine learning. Methods:This study downloaded the gene chip data from the Gene Expression Omnibus(GEO)database,and used WGCNA to screen out important gene modules related to Parkinson's disease.Genes from important modules were exported and a Venn diagram of important Parkinson's disease-related genes and immune-related genes was drawn to screen out immune related genes of Parkinson's disease.Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)were used to analyze the the functions of immune-related genes and signaling pathways involved.Immune cell infiltration analysis was performed using the CIBERSORT package of R language.Using bioinformatics method and 3 machine learning methods[least absolute shrinkage and selection operator(LASSO)regression,random forest(RF),and support vector machine(SVM)],the immune-related genes of Parkinson's disease were further screened.A Venn diagram of differentially expressed genes screened using the 4 methods was drawn with the intersection gene being hub nodes(hub)gene.The downstream proteins of the Parkinson's disease hub gene was identified through the STRING database and a protein-protein interaction network diagram was drawn. Results:A total of 218 immune genes related to Parkinson's disease were identified,including 45 upregulated genes and 50 downregulated genes.Enrichment analysis showed that the 218 genes were mainly enriched in immune system response to foreign substances and viral infection pathways.The results of immune infiltration analysis showed that the infiltration percentages of CD4+ T cells,NK cells,CD8+ T cells,and B cells were higher in the samples of Parkinson's disease patients,while resting NK cells and resting CD4+ T cells were significantly infiltrated in the samples of Parkinson's disease patients.ANK1 was screened out as the hub gene.The analysis of the protein-protein interaction network showed that the ANK1 translated and expressed 11 proteins which mainly participated in functions such as signal transduction,iron homeostasis regulation,and immune system activation. Conclusion:This study identifies the Parkinson's disease immune-related key gene ANK1 via WGCNA and machine learning methods,suggesting its potential as a candidate therapeutic target for Parkinson's disease.
9.Safety and efficacy of donor-derived chimeric antigen receptor T-cell therapy in patients with relapsed B-cell acute lymphoblastic leukemia after allogeneic hematopoietic stem cell transplantation
Yaqi ZHUO ; Sanfang TU ; Xuan ZHOU ; Jilong YANG ; Lijuan ZHOU ; Rui HUANG ; Yuxian HUANG ; Meifang LI ; Bo JIN ; Bo WANG ; Shiqi LI ; Zhongtao YUAN ; Lihua ZHANG ; Lin LIU ; Sanbin WANG ; Yuhua LI
Chinese Journal of Hematology 2024;45(1):74-81
Objective:To investigated the safety and efficacy of donor-derived CD19+ or sequential CD19+ CD22+ chimeric antigen receptor T-cell (CAR-T) therapy in patients with B-cell acute lymphoblastic leukemia (B-ALL) after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:The data of 22 patients with B-ALL who relapsed after allo-HSCT and who underwent donor-derived CAR-T therapy at the Zhujiang Hospital of Southern Medical University and the 920th Hospital of Joint Logistics Support Force of the People’s Liberation Army of China from September 2015 to December 2022 were retrospectively analyzed. The primary endpoint was overall survival (OS), and the secondary endpoints were event-free survival (EFS), complete remission (CR) rate, and Grade 3-4 adverse events.Results:A total of 81.82% ( n=18) of the 22 patients achieved minimal residual disease-negative CR after CAR-T infusion. The median follow-up time was 1037 (95% CI 546–1509) days, and the median OS and EFS were 287 (95% CI 132-441) days and 212 (95% CI 120-303) days, respectively. The 6-month OS and EFS rates were 67.90% (95% CI 48.30%-84.50%) and 58.70% (95% CI 37.92%-79.48%), respectively, and the 1-year OS and EFS rates were 41.10% (95% CI 19.15%-63.05%) and 34.30% (95% CI 13.92%-54.68%), respectively. Grade 1-2 cytokine release syndrome occurred in 36.36% ( n=8) of the patients, and grade 3-4 occurred in 13.64% of the patients ( n=3). Grade 2 and 4 graft-versus-host disease occurred in two patients. Conclusion:Donor-derived CAR-T therapy is safe and effective in patients with relapsed B-ALL after allo-HSCT.
10.CatBoost algorithm and Bayesian network model analysis based on risk prediction of cardiovascular and cerebro vascular diseases
Aimin WANG ; Fenglin WANG ; Yiming HUANG ; Yaqi XU ; Wenjing ZHANG ; Xianzhu CONG ; Weiqiang SU ; Suzhen WANG ; Mengyao GAO ; Shuang LI ; Yujia KONG ; Fuyan SHI ; Enxue TAO
Journal of Jilin University(Medicine Edition) 2024;50(4):1044-1054
Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8%.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.

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