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1.
Chinese Journal of Preventive Medicine ; (12): 422-426, 2022.
Article in Chinese | WPRIM | ID: wpr-935302

ABSTRACT

Objective: To analyze the epidemiological characteristics of anthrax in China from 2017 to 2019 and molecular typing of Bacillus anthracis isolated from some provinces (autonomous regions). Methods: Surveillance data of anthrax cases reported from 2017 to 2019 in the Infectious Disease Surveillance information System of China Disease Prevention and Control and the Public Health Emergency Reporting and Management Information System were collected, and descriptive epidemiological methods were used to analyze the epidemic characteristics, including the temporal, geographic and demographic distribution of this disease. A total of 47 strains of Bacillus anthracis isolated from 2017 to 2019 were analyzed by canSNP and MLVA15. Results: A total of 951 cases of anthrax were reported from 2017 to 2019, of which 938 were cutaneous anthrax, representing 98.63% of the total number reported. It was mainly distributed in the west and northeast of China, and the three provinces with the highest number of cases were Gansu (215), Sichuan (202) and Qinghai (191). Cases had been reported throughout the year, more cases occurred in the summer and autumn, and August was the month with the most cases,66.35% (211/318), 72.32% (243/336) and 68.01% (202/297) of cases were reported during June to September. The age distribution was mainly between 20 and 59 years old, accounting for more than 80% of all cases. The number of male cases was significantly higher than that of female cases, the ratio of male to female was about 3∶1. The occupations were mainly herdsmen and farmers, accounting for 49.70% to 58.18% and 31.45% to 36.70%, respectively. Public health events occurred every year, and 29 events had been reported from 2017 to 2019. canSNP analysis showed that 37 of the 47 strains belonged to the A.Br.001/002 subgroup and 10 belonged to the A.Br.Ames subgroup. MLVA15 analysis showed that there were 17 genotypes, of which 10 genotypes contained only one strain. Conclusion: Cutaneous anthrax was the predominant clinical type in China from 2017 to 2019.The seasonal, geographic and demographic distribution characteristics were evident.Molecular typing methods such as canSNP and MLVA15 can be used to trace the source of infectious diseases and provide technical support for anthrax prevention and control.


Subject(s)
Adult , Female , Humans , Male , Middle Aged , Young Adult , Anthrax/prevention & control , Bacillus anthracis/genetics , China/epidemiology , Molecular Typing , Polymorphism, Single Nucleotide , Skin Diseases, Bacterial
2.
Basic & Clinical Medicine ; (12): 821-826, 2018.
Article in Chinese | WPRIM | ID: wpr-693991

ABSTRACT

Objective To investigate the expression of RNA binding protein KSRP in multiple acute myeloid leuke-mia(AML) patients. Methods KSRP expression among AML patients and normal controls was analyzed in gene expression omnibus (GEO) datasets and the cancer genome atlas(TCGA) database. KSRP expression was inhibi-ted by lentivirus-mediated gene transduction in THP-1 cells,cell proliferation and apoptosis were analyzed. Results KSRP has lower expression in t(15;17) acute promyelocytic leukemia while has higher expression in mixed lineage leukemia(MLL) translocated acute monocytic leukemia or acute myelomonocytic leukemia. KSRP knock-down sig-nificantly promoted apoptosis (P<0.01),as well as suppressed cell proliferation (P<0.01). In addition, overex-pression of miR-129 increased cell proliferation(P<0.05). Conclusions KSRP may regulate AML-M5 cell growth through promoting miR-129 processing.

3.
Acta Academiae Medicinae Sinicae ; (6): 308-314, 2018.
Article in Chinese | WPRIM | ID: wpr-690338

ABSTRACT

Objective To investigate the role of methyltransferase-like 3(METTL3) in the proliferation of acute myeloid leukemia (AML) cells and its mechanism. Methods METTL3 expression in AML patients was analyzed in Gene Expression Omnibus data files. METTL3 expression was inhibited by lentivirus-mediated gene transduction in MOLM13 cells,after which cell proliferation was analyzed by cell counting kit-8,N6-methyladenosine (m6A) levels of total mRNA was analyzed by ELISA,specific m6A on MYC was analyzed by gene-specific m6A RNA immunoprecipitation,and MYC expression was analyzed by RT-qPCR and Western blot analysis. Results METTL3 level was slightly increased in AML-M5 patients,and its expression was significantly higher in immature cells than in mature monocytes (t=4.504,P=0.0098). METTL3 knock-down significantly suppressed cell proliferation (P<0.001),reduced m6A level of total mRNA (t=3.606,P=0.042) and specific m6A level on MYC mRNA (P<0.01),and suppressed MYC expression (P<0.01). Conclusion METTL3 acts as an oncogene in MOLM13 cells by upregulating MYC expression.

4.
Chinese Journal of Endemiology ; (6): 294-297, 2009.
Article in Chinese | WPRIM | ID: wpr-643430

ABSTRACT

Objective To develop the method of 16S rRNA gene clone library for tick bacterial flora analysis, and to analyze the detection effective of pathogens in tick and capacity of bacterial flora diversity. Methods Primers were designed according to the specific gene of Borrelia burgdorferi, Bartonella henselae, Anaplasma phagocytophilum, Ehrlichia chaffeensis and templates were choosen by positive PCR result to amplify the DNA extracted from the ticks. One set of primers targeting 16S rRNA gene conserved region were chosen to amplify certain fragments, DNA extraction, PCR reaction, cloning and sequencing. Nucleotide sequences were compared with GenBank database. Calculated Coverage values of clone library and Shannon-Wiener diversity index. Results Sixteen defined genus-or species-bacteria were detected in 103 valid sequences. Eight species were edge type (Clone No. > 5). Three kinds of pathogens were identified (Borrelia burgdorferi, Bartonella henselae and Rickettsia sp). Three kinds of pathogens were not edge type(Clone No. < 5). Coverage value was 96.11%, and Shannon-Wiener index was 2.40. Analysis results of cloning sequence showed that tick-parasitic bacteria mainly were α and γ deformation mycetes which accounted for 56.25% (9/16). Conclusions The 16S rRNA gene sequences technology could make relative quantitative of bacterial flora, and detect many kinds of pathogens in tick. It's a good method for detection of pathogens and bacterial flora analysis.

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