1.The relationship between serum Trx1,PDCD4,AQP4 expression and cognitive function in patients with Parkinson's disease
Shupeng ZHAI ; Hang JIA ; Tong MIAO ; Kangkang WEI ; Guoping ZHOU
Tianjin Medical Journal 2025;53(2):146-150
Objective To explore the relationship between serum thioredoxin 1(Trx1),programmed cell death factor 4(PDCD4),aquaporin 4(AQP4)expression and cognitive function in patients with Parkinson's disease(PD).Methods A total of 145 PD patients(PD group)were selected as the study subjects,and patients were divided into the cognition impairment(CI)group 43 cases and the no CI group(102 cases)according to the mini-mental state examination(MMSE).Another 105 healthy subjects in the same period were taken as the control group.General patient data were collected and analyzed.The serum expression of Trx1,PDCD4 and AQP4 were detected by ELISA.The correlation between serum levels of Trx1,PDCD4 and AQP4 in PD patients and CI score were analyzed by Pearson method.Multivariate Logistic regression was used to analyze influencing factors of CI in PD patients.The predictive values of serum Trx1,PDCD4 and AQP4 levels for the occurrence of CI in PD patients were analyzed by receiver operating characteristic(ROC)curve.Results Serum levels of Trx1 and AQP4 were lower in the PD group than those of the control group,and PDCD4 was higher in the PD group than that of the control group(P<0.05).In the CI group,PD duration and PDCD4 levels were higher than those of the no CI group(P<0.05),and BMI,years of education,MMSE score,MoCA score,Trx1 and AQP4 were lower than those in the no CI group(P<0.05).In the PD group,serum Trx1 and AQP4 levels were positively correlated with MMSE and MoCA scores,and serum PDCD4 levels were negatively correlated with MMSE and MoCA scores(P<0.05).The long course of disease and increased PDCD4 levels were risk factors for CI in PD patients,while increased Trx1 and AQP4 levels were protective factors for CI in PD patients(P<0.05).Serum Trx1,PDCD4,AQP4 levels and the combined AUC for predicting CI in PD patients were 0.820,0.741,0.831 and 0.932,respectively,and the combined prediction was better than the respective prediction alone.Conclusion Serum Trx1,AQP4 and PDCD4 are closely related to cognitive function,and the combination of the three has high predictive value for CI in PD patients.
2.The relationship between serum Trx1,PDCD4,AQP4 expression and cognitive function in patients with Parkinson's disease
Shupeng ZHAI ; Hang JIA ; Tong MIAO ; Kangkang WEI ; Guoping ZHOU
Tianjin Medical Journal 2025;53(2):146-150
Objective To explore the relationship between serum thioredoxin 1(Trx1),programmed cell death factor 4(PDCD4),aquaporin 4(AQP4)expression and cognitive function in patients with Parkinson's disease(PD).Methods A total of 145 PD patients(PD group)were selected as the study subjects,and patients were divided into the cognition impairment(CI)group 43 cases and the no CI group(102 cases)according to the mini-mental state examination(MMSE).Another 105 healthy subjects in the same period were taken as the control group.General patient data were collected and analyzed.The serum expression of Trx1,PDCD4 and AQP4 were detected by ELISA.The correlation between serum levels of Trx1,PDCD4 and AQP4 in PD patients and CI score were analyzed by Pearson method.Multivariate Logistic regression was used to analyze influencing factors of CI in PD patients.The predictive values of serum Trx1,PDCD4 and AQP4 levels for the occurrence of CI in PD patients were analyzed by receiver operating characteristic(ROC)curve.Results Serum levels of Trx1 and AQP4 were lower in the PD group than those of the control group,and PDCD4 was higher in the PD group than that of the control group(P<0.05).In the CI group,PD duration and PDCD4 levels were higher than those of the no CI group(P<0.05),and BMI,years of education,MMSE score,MoCA score,Trx1 and AQP4 were lower than those in the no CI group(P<0.05).In the PD group,serum Trx1 and AQP4 levels were positively correlated with MMSE and MoCA scores,and serum PDCD4 levels were negatively correlated with MMSE and MoCA scores(P<0.05).The long course of disease and increased PDCD4 levels were risk factors for CI in PD patients,while increased Trx1 and AQP4 levels were protective factors for CI in PD patients(P<0.05).Serum Trx1,PDCD4,AQP4 levels and the combined AUC for predicting CI in PD patients were 0.820,0.741,0.831 and 0.932,respectively,and the combined prediction was better than the respective prediction alone.Conclusion Serum Trx1,AQP4 and PDCD4 are closely related to cognitive function,and the combination of the three has high predictive value for CI in PD patients.
3.Advances of DNA methylation in primary immune thrombocytopenia
Weiwei MIAO ; Xiangdong YANG ; Lijun FANG ; Zheng HAO ; Jiangshui GUO ; Kangkang BAI
Chinese Journal of Immunology 2025;41(4):1010-1015
Primary immune thrombocytopenia(ITP)is an acquired autoimmune hemorrhagic disease characterized by reduced isolated peripheral blood platelet counts for which pathogenesis and etiology are not well defined.Present diagnosis of ITP is to be excluding other diseases,whose pathogenesis generally involves multiple aspects of immunology,biology,epigenetics and environ-mental factors.Recognition of epigenetic alterations in dysregulation of immune tolerance and autoimmune diseases has been deepened in recent years with progress by molecular biology.DNA methylation,an important epigenetic modification,has been shown to play a role in pathogenesis of ITP.Abnormal DNA methylation leads to cellular abnormalities in proliferation,differentiation,apoptosis and immune response in body,induces immune intolerance to autologous platelet antigens in patients,resulting in abnormal activation of immune cells which makes excessive platelet destruction or insufficient platelet production.Therefore,this article reviews latest research progress of DNA methylation genes in ITP to provide a reference for further recovery of immune tolerance of patients.
4.Advances of DNA methylation in primary immune thrombocytopenia
Weiwei MIAO ; Xiangdong YANG ; Lijun FANG ; Zheng HAO ; Jiangshui GUO ; Kangkang BAI
Chinese Journal of Immunology 2025;41(4):1010-1015
Primary immune thrombocytopenia(ITP)is an acquired autoimmune hemorrhagic disease characterized by reduced isolated peripheral blood platelet counts for which pathogenesis and etiology are not well defined.Present diagnosis of ITP is to be excluding other diseases,whose pathogenesis generally involves multiple aspects of immunology,biology,epigenetics and environ-mental factors.Recognition of epigenetic alterations in dysregulation of immune tolerance and autoimmune diseases has been deepened in recent years with progress by molecular biology.DNA methylation,an important epigenetic modification,has been shown to play a role in pathogenesis of ITP.Abnormal DNA methylation leads to cellular abnormalities in proliferation,differentiation,apoptosis and immune response in body,induces immune intolerance to autologous platelet antigens in patients,resulting in abnormal activation of immune cells which makes excessive platelet destruction or insufficient platelet production.Therefore,this article reviews latest research progress of DNA methylation genes in ITP to provide a reference for further recovery of immune tolerance of patients.
5.Prediction Study on Potential Chinese materia medica for the Treatment of coronary microvascular dysfunction
Chunlin ZHU ; Dazhuo SHI ; Kangkang WEI ; Lina MIAO ; Jie GAO
International Journal of Traditional Chinese Medicine 2024;46(2):222-228
Objective:To predict Chinese materia medica that may prevent and treat coronary microvascular dysfunction (CMD) by identifying disease core targets.Methods:CMD- related targets were obtained through GeneCards and OMIM databases. Subnetworks were extracted by using MCODE plugin in Cytoscape 3.9.1. Core targets of subnetworks were obtained by using cytoNCA plugin. GO function and KEGG pathway enrichment analysis for core targets were performed by using Metascape. Coremine Medical database was used to match targets with Chinese materia medica. Obtained Chinese materia medica was screened, and their properties and tastes, meridians and efficacy categories were under statistics.Results:Totally 3 859 disease-related targets were screened and five subnetworks were obtained. An in-depth study of MCODE1 yielded ten core targets, including IL-1β, IL6, TNF, STAT3, AKT1, ACTB, VEGFA, GAPDH, TP53, and ALB. GO functional enrichment analysis showed that these core targets were mainly involved in biological processes, such as positive regulation of gene expression, positive regulation of transcription, DNA template, and negative regulation of gene expression. KEGG pathway enrichment analysis identified 67 signaling pathways, including the AGEs-RAGE signaling pathway, HIF-1 signaling pathway, adipocytokine signaling pathway, fluid shear stress, and atherosclerosis. The researchers identified 36 kinds of Chinese materia medica associated with the ten core targets, including Salviea Miltiorrhizae Radix et Rhizoma, Chuanxiaong Rhizoma, Carthami Flos, Paeoniae Radix Rubra, Coptidis Rhizoma, Ginseng Radix et Rhizoma, Ophiopogonis Radix, Schisandrae Chinensis Fructus, Cinnamomi Cortex, Nelumbinis Semen, and Valerianae Jatamansi Rhizoma et Radix among 880 herbs.Conclusion:This study predicts 36 kinds of Chinese materia medica that have the effect of preventing and treating CMD, which can provide research ideas for the development of new drugs.
6.Dynamic Implantation Process of Orthodontic Micro-Implant:A Finite Element Numerical Simulation
Xuelin MIAO ; Hongwei ZHANG ; Lingling QIU ; Kangkang JI ; Jiaqi ZHANG
Journal of Medical Biomechanics 2024;39(3):539-544
Objective To study the stress distributions of the surrounding bone during the dynamic implantation of micro-implants,a finite element model of self-attacking orthodontic micro-implant dynamic implantation was proposed and established.Methods A three-dimensional(3D)oral model was constructed using CBCT data.The local model around the implant and the 3D finite element model of the micro-implant were established using ABAQUS software.The micro-implant was implanted into the jaw with an axial propulsion force of 40 N at a constant speed of 0.5 r/s.Results The 3D finite element model was successfully established to simulate dynamic self-attacking orthodontic micro-implant implantation in the jaw bone.The results showed that implantation stage and thread position had significant effects on bone stress distribution and the stress states of different bones had obvious differences:the maximum stress on the cortical bone was 167 MPa,and the maximum stress at the stable stage was approximately 50 MPa.The maximum stress on cancellous bone was 30 MPa.Conclusions The implantation stage and thread position have apparent influences on stress distribution.The stress difference between the cortical and cancellous bones was evident.The stress characteristics can judge the bone type,and whether the jaw is in a suitable implantation state can be judged by the bone stress distributions around the implant.
7.Research progress on influencing factors of nursing ethical decision-making ability of undergraduate nursing students
Xiangdan SU ; Qin CHEN ; Ruiqi WANG ; Kangkang MIAO
Chinese Journal of Modern Nursing 2020;26(32):4563-4567
This paper reviews the measurement tools and influencing factors of nursing ethical decision-making ability of undergraduate nursing students. It summarizes from three aspects including own factors of nursing students, environmental factors and measures to promote ethical decision-making ability of nursing students, so as to provide reference for nursing educators to take effective measures to improve ethical decision-making ability of undergraduate nursing students.

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