1.Teaching thinking of Nursing Psychology from the perspective of narrative medicine
Hong CHEN ; Luodan FAN ; Yanhan YANG ; Yanan MO ; Hua YU
Chinese Journal of Medical Education Research 2022;21(2):223-227
Narrative medicine reform based on narrative pedagogy has became a development trend in foreign medical education,while domestic narrative pedagogy is still in the stage of exploration and development. In view of the problems existing in nursing psychology teaching, based on the new perspective of narrative medicine, on the basis of learning the practical experience of narrative pedagogy at home and abroad, this paper puts forward a new idea of narrative teaching reform of nursing psychology. We discuss and explore the reform of nursing psychology's narrative pedagogy from three aspects: collection and creation of narrative material resources, assisting narrative pedagogy with network platform, and constructing narrative pedagogy procedures in combination with reality.
2.Investigation of radiomics based on 18F-FDG PET/CT in predicting the COG risk stratification of neuroblastoma
Luodan QIAN ; Qinghua REN ; Shuxin ZHANG ; Jun LIU ; Wei WANG ; Ying KAN ; Jie LIU ; Huan MA ; Lei LIU ; Jigang YANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2021;41(8):460-465
Objective:To explore the value of radiomics based on 18F-fluorodeoxyglucose (FDG) PET/CT in predicting the Children′s Oncology Group (COG) risk stratification of neuroblastoma (NB). Methods:From March 2018 to November 2019, the 18F-FDG PET/CT images of 125 NB children (51 males, 74 females, age: 0.5-10.5 years) confirmed pathologically in Beijing Friendship Hospital were retrospectively analyzed. According to the COG classification, patients were divided into high-risk group and non-high-risk group (including low- and intermediate-risk). Imaging radiomics features were extracted from PET and CT images and screened. Logistic regression was used to build the first model based on radiomics features (R_model) and calculate radiomics score (Rad_score), then build the second model (RD_model) based on Rad_score and demographic features and at last build the third model (RDC_modle) based on Rad_score, demographic features and clinical features. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of these models. Results:The training set contained 94 NB cases (63 high-risk cases, 31 non-high-risk cases), and the validation set contained 31 NB cases (21 high-risk cases, 10 non-high-risk cases). Four radiomics features were obtained by screening, of which two features were based on CT images and the other two features were based on PET images. The area under the curves (AUCs) of the R_model, RD_model and RDC_model in training or validation set were 0.91, 0.94, 0.98 or 0.86, 0.92, 0.95, respectively. The accuracies of the R_model, RD_model and RDC_model in training or validation set were 86%(81/94), 89%(84/94), 93%(87/94) or 84%(26/31), 84%(26/31), 87%(27/31), respectively.Conclusions:Radiomics based on 18F-FDG PET/CT can accurately predict the COG risk stratification of NB. Prediction model of radiomics features combined with demographic and clinical characteristics can further improve the accuracy of predicting NB COG risk stratification, which can help personalized and precise therapy protocol management in NB.
5.Astrocyte-Mediated Myelin Phagocytosis in Ischemia.
Luodan YANG ; Dongyu ZHANG ; Quanguang ZHANG
Neuroscience Bulletin 2023;39(1):167-169
Humans
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Myelin Sheath
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Astrocytes
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Phagocytosis
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Macrophages
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Ischemia
7.Microglia-Mediated Aβ Propagation in Alzheimer's Disease.
Luoman YANG ; Shu FENG ; Chongyun WU ; Luodan YANG
Neuroscience Bulletin 2022;38(10):1274-1276
8.The Lung Microbiome: A Potential Target in Regulating Autoimmune Inflammation of the Brain.
Luoman YANG ; Shu FENG ; Chongyun WU ; Luodan YANG
Neuroscience Bulletin 2022;38(11):1435-1437
Humans
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Microbiota
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Lung
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Inflammation
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Brain
9.Correlation of changes in retinal microglia phenotype with ganglion cell death in mice after optic nerve injury
Tianjing YOU ; Yuanxing YANG ; Juncai HE ; Luodan A ; Xiang MA ; Haiwei XU
Journal of Army Medical University 2024;46(17):1934-1942
Objective To explore the relationship between phenotypic changes of retinal microglia and retinal ganglion cells(RGCs)death after optic nerve injury.Methods Male C57BL/6J mice(6 to 8 weeks old)were randomly divided into 1-,3-,7-,and 14-day injury groups and sham operation group,with 4 mice in each group.The eyes in the injured groups were inflicted with optic nerve crush(ONC),while the eyes of the sham operation group were treated with the same operation procedure but without optic nerve clamp.Flash visual evoked potential(fVEP)and immunofluorescence staining were employed to evaluate the impact of optic nerve injury on visual function and number of RGCs.RT-qPCR and immunofluorescence staining were applied to detect the effecy of optic nerve injury on phenotypic changes in retinal microglia.Results fVEP results showed that the visual conduction of the injured eye was gradually decreased over time when compared with that of the sham group(P<0.01).Immunofluorescence staining revealed that the number of RGCs was lost mainly within 7 d after injury(P<0.01).At the same time,the number of retinal microglia reached its peak at 7 d after injury(P<0.01).RT-qPCR indicated that the expression of disease-associated microglia(DAM)and interferon-responsive microglia(IRM)specific genes were significantly increased when compared with the sham group at 7 d after ONC(P<0.01).Immunofluorescence staining displayed that the number of DAM peaked at 3 d after ONC(P<0.01),but the proportion was decreased gradually with the progress of time(P<0.05).The number and proportion of IRM peaked 7 d after ONC(P<0.01).Correlation analysis suggested that the number of IRM was strongly correlated with the loss of ganglion cells(P<0.01).Conclusion The conversion of retinal microglia from DAM type to IRM type after optic nerve injury may be an important cause of ganglion cell loss.