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@#Abstract: Objective To conduct a molecular epidemiological tracing and analysis of Yersinia pestis strains isolated from two human plague outbreaks with unknown sources in Gansu Province, China. The results of this analysis would provide a basis for isolating and controlling the sources of Yersinia pestis. Methods The strains of Yersinia pestis isolated from two human plague outbreaks occurring on December 12, 2017, and September 27, 2019 were genotyped by the different region (DFR) and the clustered regularly interspaced short palindromic repeats (CRISPR). The repeat numbers of the variable number tandem repeat (VNTR) loci in the tested strains of Yersinia pestis were calculated by the multiple variable number tandem repeats analysis (MLVA), and the location of the phylogenetic tree of the tested strains was determined with the method of minimum spanning tree (MST) by the software BioNumerics 6.6. Results The strain of 20171212 lacked DFR01, DFR02, DFR03, DFR04, DFR13, DFR23, and the DFR type was identified as type 8. The space sequence of YPa was a1'-a2-a3-a4-a5-a6-a7-a35, the space sequence of YPb was b1-b2-b3-b4, the space sequence of YPc was c1-c2-c3, the gene cluster of CRISPR was Ca35', the genotype of CRISPR was 26'. MLVA clustering analysis showed that the strain clustered within in the cluster of Yuerhong pasture in Subei County and formed an independent branch. On the other hand, the strain of 20190927 lacked DFR01, DFR13 and DFR23, with the DFR type identified as type 1b. The space sequence of YPa was a1-a2-a3-a4-a5-a6-a7, the space sequence of YPb was b1-b2-b3-b4, the space sequence of YPc was c1-c2-c3, the gene cluster of CRSIPR was Ca7, the genotype of CRSIPR was 22 MLVA clustering analysis showed that the strain was located close to the cluster of Dangjinshan in Akesai County, and relatively distant from the cluster of Yuerhong pasture in Subei County. Conclusions The genotypes of strain 20171212 by DFR and CRISPR were consistent with the main genotypes of Y. pestis from Himalayana Marmota foci in Subei County, which confirmed that the human plague cases were naturally occurring locally. However, the strain gathered the cluster of Yuerhong pasture in Subei County, which indicated that the source of infection was not in Yanchiwan Town, but in the surrounding area of the Yuerhong pasture. The genotypes of strain 20190927 by DFR and CRISPR were in accordance with the main genotype of Y. pestis from Himalayana Marmota foci in Akesai County and were closer to the cluster of Dangjinshan in Aksai County than to
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OBJECTIVE@#To further explore the better indicators for predicting the degree of bleeding associated with newly diagnosed acute promyelocytic leukemia (APL).@*METHODS@#A total of 131 patients with newly diagnosed APL were classified according to WHO bleeding scales before treatment and divided into two groups: scales 0, 1 and 2 were included in no severe bleeding group, scales 3 and 4 were included in severe bleeding group. The information of the patients were collected, including sex, age, hemoglobin (Hb), white blood cell (WBC) count and platelet (PLT) count, peripheral blood lymphocyte percentage (LYMPH%), peripheral blood monocyte percentage (MONO%), percentage of leukemic cells in pripheral blood and bone marrow, prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB) levels, D-dimer (D-D), D-dimer/fibrinogen ratio (DFR).@*RESULTS@#Among 131 patients, 110 were classified as no severe bleeding, and 21 were severe bleeding. The results of univariate analysis showed that patients with severe bleeding had significantly higher percentage of leukemic cells in pripheral blood, WBC, D-D, and DFR, as well as longer PT and lower LYMPH%, compared to those with no severe bleeding. Multivariate analysis revealed that DFR (OR =1.054, 95%CI : 1.024-1.084, P < 0.001) and percentage of peripheral blood leukemic cells (OR=1.026, 95%CI: 1.002-1.051, P =0.033) were independent risk factors for severe bleeding. The area under ROC curve (AUC) of peripheral blood leukemic cells, D-D and DFR were 0.748, 0.736 and 0.809, respectively. There was no statistical difference between the peripheral blood leukemic cells and D-D in diagnostic efficacy (P =0.8708). Compared with D-D, DFR had a higher predictive value (P =0.0302). The optimal cut-off value of DFR was 16.50, with a sensitivity of 90.5% and a specificity of 70.0%.@*CONCLUSION@#DFR has a significant advantage in predicting the degree of bleeding associated with newly diagnosed APL. The greater the DFR value, the heavier the degree of bleeding. The risk of severe or fatal bleeding increases when DFR is greater than 16.50.
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Humanos , Leucemia Promielocítica Aguda/complicaciones , Estudios Retrospectivos , Productos de Degradación de Fibrina-Fibrinógeno , HemorragiaRESUMEN
【Objective】 To identify three cases of pregnant women with the D variant phenotype using serological and molecular tests, and discuss the strategy of prenatal examination. 【Methods】 The peripheral blood samples from three pregnant women with the D variant phenotype were collected. RhD variant phenotype was determined using routine serological methods with two different kinds of monoclonal anti-D. The serological characteristic for the epitope of D antigen was further analyzed using the commercial panel anti-D reagents (D-Screen, Diagast). The hybrid RHD-CE-D allele was analyzed by the Multiplex Ligation-dependent Probe Amplification (MLPA) assay and polymerase chain reaction with sequence specific primers (PCR-SSP) method. Further Sanger sequencing of RHD gene exons was also performed. 【Results】 DFR phenotype was primarily determined by serological characteristic for the epitope of D antigen. RHD*DFR2/01N.01(n=2) and RHD*DFR1/1227A(n=1) genotypes were identified by the MLPA assay, PCR-SSP and Sanger sequencing. 【Conclusion】 Two pregnant women with RHD*DFR2/01N.01 genotype should be treated as D negative patients clinically, while the pregnant woman with RHD*DFR1/1227A genotype can be treated as Asia type DEL to avoid unnecessary antibody screening and anti-D prophylaxis.
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Little is known about the molecular mechanism of currant anthocyanin synthesis. We investigated the effect of dfr, a key gene for anthocyanin synthesis in currant, on anthocyanins of different color currant. Black currant (Ribes nigrum L.), red currant (Ribes rubrum L.) and white currant (Ribes albrum L.) were used as test materials to determine the anthocyanin content at different stages of fruit development. Three full-length cDNA sequences of dfr gene were cloned by RACE (Rapid amplification of cDNA ends), and named as Rndfr, Rrdfr and Radfr. Phylogenetic analysis shows that Rndfr, Rrdfr and Radfr had high homology in evolution. The determination of anthocyanin content in different stages of fruit development shows that the content of anthocyanin in black currant and red currant was higher and gradually increased with the ripening of the fruit. While the content of anthocyanin in white currant was extremely low, and almost no anthocyanin was detected. Quantitative RT-PCR analysis shows that the expression level of dfr in black currant was higher than red currant and white currant in each period of fruit development. As the diameter of the fruit increased and the color of the peel deepened, the expression level of dfr in the black currant showed an increasing trend. In the red currant, the expression level gradually increased until the period of 75% fruit color, then the Rrdfr decreased rapidly. In white currant, the overall trend showed a downward trend, and its expression level was the lowest. All the results suggest that dfr gene plays a role in the process of fruit color.
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The study is aimed at determine the content of anthocyanins and expressions of relative genes and activity of relative enzymes. The effects of flood stress on anthocyanins synthesis with relative genes and enzymes of Chrysanthemum morifolium cv. 'Hangju' were analyzed. The expression of CHS and the content of CHS presented the trend of first rising and after downward with the increase of flowering degree. The content of anthocyanins, the expression of DFR and the activity of DFR presented the trend of first downward and after rising with the increase of flowering degree. There was a positive correlation among anthocyanins,DFR gene and DFR. However there was no significant correlation among anthocyanins,CHS gene and CHS. Flood stress has significant effects on anthocyanins synthesis with relative genes and enzymes of Ch. morifolium cv. 'Hangju',but don't change the patterns of genes expression and anthocyanins and enzymes accumulation. DFR and DFR are the key gene and key enzyme of anthocyanins synthesis.
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We typed Yersinia pestis isolated from plague foci of Shaanxi Province using different region (DFR) and analyzed epidemiological characteristics.Twenty-three DFRs primers and PMT1 (plasmid) primer were used to verify the DFR genomovars and 48 Yersinia pestis were involved to analyze DFR profiles and epidemiological characteristics.In the same year,the genotypes of Yersinia pestis isolated from different infected vector and animals were basically the same.Three genomovars named Genomovar 11,17,and 20 were verified in 48 Yersinia pestis strains in Shaanxi Province.The main genotypes were different in different epidemic years.In 1987-1988 and 2000-2001 years,genomovar 17 was major genomovar and genomovar 20 in 2006 year.In conclusion,the dominant genotypes were different in different epidemic years.As time goes on,DFR genomovars of Yersinia pestis undergone the evolution of gene deletion,which changes genomovar 17 into genomovar 20.