To characterize the CD45RA+and CD45RO+T lymphocyte subsets in the peripheral blood of patients with cGVHD induced by allogeneic haematopoietic stem cell transplantation ( allo-HSCT ) and to explore their relations with the disease.Methods:The peripheral blood was collected from 64 patients after allo-HSCT,including 21 non-cGVHD patients,15 light grade cGVHD patients,18 mild grade cGVHD patients and 10 severe grade cGVHD patients,then CD4+CD45RA+,CD4+CD45RO+, CD8+CD45RA+and CD8+CD45RO+T lymphocyte subsets were detected by flow cytometry ( FCM).Results: Compared with the control,the percent of CD4+CD45RA+T lymphocyte in patients with light,mild and severe grade cGVHD decreased markedly (P<0.05),the percent of CD4+CD45RO+T lymphocyte increased markedly (P<0.05).But there were not obviously change in the patient with different grade cGVHD.The percent of CD8+CD45RA+,CD8+CD45RO+T lymphocyte did not change obviously.Conclusion:CD4+CD45RA+and CD4+CD45RO+may play an important role in the pathogenesis of cGVHD.

Adult ; Aged ; Autoimmune Diseases ; diagnosis ; metabolism ; Female ; Humans ; Insulins ; metabolism ; Male ; Middle Aged

[Objective]To explore the correlations between different indices of lipoprotein cholesterol and apolipopro-tein of coronary heart disease(CHD)patients,especially that between low density lipoprotein cholesterol(LDL-C)and high density lipoprotein cholesterol(HDL-C)and that between apolipoprotein A1(apoA1)and apolipoprotein B100 (apoB100),as well as the correlations between these indices,indices ratios and the severity of coronary artery lesion.[Methods]301 coronary heart disease patients hospitalized to accept percutaneous coronary intervention(PCI)in the Third Affiliated Hospital of Sun Yat-sen University during 2013-2014 were recruited in the study. Fasting serum lipid indices including triglycerides(TG),total cholesterol(TC),LDL-C,HDL-C,apoA1 and apoB100 were examined before surgery.Gensini score was calculated to evaluate the severity of coronary artery lesion. 153 patients whose Gensini score was less than 50 were assigned to Group A,while 148 patients with Gensini score greater than or equal 50 were distributed to Group B.[Results]Positive correlations were found between LDL-C and HDL-C(r=0.161,P=0.005), apoA1 and apoB100(r=0.358,P<0.001),apoB100 and LDL-C(r=0.487,P<0.001),apoA1 and LDL-C(r=0.178, P=0.002)by linear correlation analysis. No significant correlation was found between apoB100 and HDL-C. None of LDL-C,HDL-C,TC was correlated with Gensini score. However,LDL-C/HDL-C ratio was positively correlated with Gensini score(r=0.148,P=0.01). The results showed no significant correlations between apoB100,apoB100/apo A1 ratio and Gensini score but negative correlation between apoA1 and Gensini score(r=-0.129,P=0.025). The positive correlation between HDL-C/LDL-C ratio and Gensini score was still valid after multi-factors adjustment (β=5.071,P=0.018).[Conclusion]Of patients with coronary heart disease,there exist some correlations between LDL-C and HDL-C,apoA1 and apoB100,while the correlation between LDL-C and HDL-C is relatively weak.The LDL-C/HDL-C ratio,weakly positively correlated with the severity of coronary artery lesion,is a risk factor of coronary artery lesion,while the level of apoA1,negatively correlated with the severity of coronary artery lesion,could play a protective role.

Objective:To understand the cognition and behavior of drug safety in Beijing middle school students and provide advice for relevant education.Methods:A cross-sectional survey using paper questionnaires was carried out on the student body of nine Beijing middle schools.Multi-stage proportionate stratified cluster sampling was adopted to enroll participants.In addition to demographic questions,the questionnaire included 17 questions assessing the cognition and behavior of safe drug use,prioritizing questions that aligned with the health education guideline for primary and secondary school students from Chinese Ministry of Education.Descriptive statistical methods were applied using the SAS 9.2 software.Results:Of the 4 220 students investigated,2 097(49.7％) were males and 2 123(50.3％) were females.The average age was (14.3 ± 1.7) years.2 030(48.1％) students were from downtown areas,1 511(35.8％) were from urban-rural linking areas and 679(16.1％) were from rural areas.Half (51.5％) of the respondents were junior high school students,and the others were from senior high schools (34.2％) and vocational high schools (14.3％).Most of the students (89.6％) lived off campus.The awareness rate of drug safety knowledge was 74.4％,the median score of drug safety behavior was 4 points (full score was 5 points) and there was a statistically positive correlation between the two (Spearman's correlation coefficient was 0.156,P ＜0.001).Both the awareness rates and the drug safety behavior scores were statistically different among the students in different regions,different school types and different residence types (P ＜ 0.001).Multiple factors analysis demonstrated the correlation between the cognition degrees of both drug safety knowledge,behavior and the above factors.Of all the students,80.4％ agreed that any drug could have adverse drug reactions;40.5％ were aware that antibiotics couldn't kill viruses;as many as 49.6％ mistook aspirin as antibiotic;97.4％ would read drug instructions before taking them;Only 42.4％ put expired drugs into special recycling bins;49.8％ would deviate from the suggested dosage and frequency of their medication when they were sick with common diseases.Conclusion:Overall,the cognition of drug safety in Beijing middle school students is good,but problems still exist in medication adherence,the management of expired drugs and the antibiotics cognition,which need to be fixed through specific,pointed way of education.And more efforts should be made to improve the cognition in rural regions,vocational high schools and on campus students.

Objective:To investigate the efficacy of a machine learning model based on radiomics of brain lesions on T 2WI in differentiating multiple sclerosis (MS) from neuromyelitis optica spectrum disorders (NMOSD). Methods:Totally 223 MS and NMOSD patients who were treated from January 2009 to September 2018 in Beijing Tiantan Hospital Affiliated to Capital Medical University, Donghu Branch of the First Affiliated Hospital of Nanchang University, Tianjin Medical University General Hospital, and Xuanwu Hospital of Capital Medical University were analyzed retrospectively, and according to the proportion of 7∶3, 223 patients were completely randomly divided into training set (156 cases) and test set (67 cases). A total of 74 patients with MS and NMOSD who were treated in Huashan Hospital Affiliated to Fudan University and China-Japan Friendship Hospital of Jilin University from January 2009 to September 2018 and in Xianghu Branch of the First Affiliated Hospital of Nanchang University from March 2020 to September 2021 were collected as an independent external validation set. All patients underwent brain cross-sectional MR T 2WI, radiomics features were extracted from T 2WI, and features were selected by max-relevance and min-redundancy and least absolute shrinkage and selection operator algorithms. Then various machine learning classifier models (logistic regression, decision tree, AdaBoost, random forest or support vector machine) were constructed to differentiate MS from NMOSD. The area under curve (AUC) of receiver operating characteristics was used to evaluate the performance of each classifier model in the training set, test set and external validation set. Results:Based on multi-center T 2WI, a total of 11 radiomics features related to the discrimination between MS and NMOSD were extracted and classifier models were constructed. Among them, the random forest model had the best efficiency in distinguishing MS from NMOSD, and its AUC values for distinguishing MS from NMOSD in the training set, test set and external validation set were 1.000, 0.944 and 0.902, with specificity of 100%, 76.9% and 86.0%, and sensitivity of 100%, 92.1% and 79.7%, respectively. Conclusion:The random forest model based on the radiomic features of T 2WI of brain lesions can effectively distinguish MS from NMOSD.

Objective:To analyze the research status of gouty arthritis at home and abroad in the past 15 years，and to provide reference for for further in-depth research in this field. Method:With “Gouty arthritis” as the research topic, the related papers during 2004—2019 were searched in Web of science core collection database and CNKI databases respectively. The results were statistically sorted out according to publication year，author，institution，literature source and key words，etc，and were visualized by CiteSpace software. Result:A total of 5 071 Chinese papers and 1 136 English papers were included. The amount of domestic and foreign publications continued to rise，forming a core team represented by LI Zhao-fu，XIONG Hui，SCHLESINGER NAOMI and other authors. The research hotpots focused on the pathogenesis，diagnosis methods， Chinese and Western medicine treatment，clinical observation，risk assessment and other aspects of gouty arthritis. Both of them had their own emphases. Domestic researches tended to focus on the treatment of gouty arthritis with traditional Chinese medicine，while foreign ones focused on the pathological research and clinical investigation of gouty arthritis. Conclusion:The number of researches in the field of gouty arthritis is on the rise as a whole，and there are both consistency and differences in the research content and hot topics between domestic and foreign literature. Therefore， we should strengthen cooperation and exchange between different teams and countries，so as to promote the overall development of this field.