The rice blast fungus Magnaporthe grisea causes one of the most destructive diseases of rice around the world. Significant progresses have been made recently in genomics studies of the fungus, opening new era of the functional genomics which requires to generate a large scale of gene knockout mutants. It has been demonstrated that T-DNA insertional mutagenesis is a powerful tool of functional genomics not only for plants but also for fungi. In this paper, we optimized the conditions for T-DNA insertional mutagenesis of M. grisea using Agrobacterium tumefaciens-mediated transformation (ATMT) approach. We employed the binary vector pBHtl constructed by Dr. S. Kang's laboratory at the Pennsylvania State University, which carries the bacterial hygromycin B phosphotransferase gene (hph) under the control of the Aspergillus nidulans trpC promoter as a selectable marker to transform the conidia of M. grisea. We optimized the conditions for T-DNA insertional mutagenesis including the medium, dosage of hygromycin B, cefotaxime and carbenicillin to select the transformants and inhibit the growth of A. tumefaciens after co-culturing. The dosage to inhibit non-transformants could vary from 200-600microg/mL among different M. grisea isolates so that the optimal dosage of the antibiotics should be decided according to isolates. Rice polished agar medium was found the best selection medium which would facilitate the mutant sporulation and minimize the contamination chance. In average, about 500 transformants could be obtained when transforming 1 x 10(6) spores at the optimum condition, among which 85% had T-DNA insertion detected by polymerase chain reaction (PCR) and thermal asymmetric interlaced polymerase chain reaction (TAIL-PCR). Fifteen out of 1520 transformants showed mutation in colony morphology. Within 58 randomly selected mutants, it was found that there were 4 sporulation-decreased mutants, 8 less germination mutants and 9 appressorium defective mutants. Several virulent mutants to C101LAC(Pi-1)and 75-1-127(Pi-9)were also obtained which would facilitate cloning the corresponding avirulence genes.
Agrobacterium tumefaciens ; genetics ; Bacterial Proteins ; genetics ; Carbenicillin ; pharmacology ; Cefotaxime ; pharmacology ; DNA, Bacterial ; genetics ; physiology ; Genetic Vectors ; genetics ; Hygromycin B ; pharmacology ; Magnaporthe ; drug effects ; genetics ; Mutagenesis, Insertional ; methods ; Mutation ; Oryza ; microbiology ; Phosphotransferases (Alcohol Group Acceptor) ; genetics ; Polymerase Chain Reaction ; Promoter Regions, Genetic ; genetics ; Transformation, Genetic ; genetics ; physiology

OBJECTIVESTo explore the category, quantity and clinical significance of autoantibodies on bone marrow hematopoietic cells in patients with immunorelated cytopenia and evaluate the sensitivity of direct antiglobulin reaction (Coombs test ) of bone marrow mononuclear cells (BMMNC).

METHODSThe category and the positive rate of autoantibodies on bone marrow hematopoietic stem cells, nucleated erythrocytes, granulocytes in 32 patients with uncertain immunorelated cytopenia were investigated by using BMMNC-Coombs test and double immunofluorescence flow cytometry.

RESULTSThe positive rate of autoantibodies on bone marrow hematopoietic cells tested by flow cytometry was 90.63% which was higher than that by BMMNC-Coombs test (50.0%) (p < 0.05). In 29 positive cases, IgG autoantibody accounted for 6.90%, IgM13.8%, IgG+IgA 3.4%, IgG+IgM 31.0%, and IgG+IgM+IgA 44.8%. Of the 29 Patients, 25 (86.2%) with IgG autoantibody, 26 (89.7%) with IgM and 14 (48.3%) with IgA. The patients with IgG autoantibody alone had the lowest hemoglobin levels, and those with IgM autoantibody might have intravascular hemolytic findings. The response time of patients with IgG and IgG+IgM was shorter than that of the other patients. 91.3% of the patients had autoantibodies on bone marrow hematopoietic stem cells and showed pancytopenia, and 50% of the patients had autoantibodies on nucleated erythrocytes and granulocytes. Eleven of 13 patients with negative BMMNC-Coombs tests had autoantibodies on bone marrow hematopoietic stem cells detected by FACS. There was no significant difference of the quantities of the three categories of autoantibodies of nucleated erythrocytes and stem cells. The quantities of IgA on granulocytes were lower than that of IgG and IgM. There was no significant difference between IgG and IgM on granulocytes. The quantity of IgA on hematopoietic stem cells was significantly higher than that on nucleated erythrocytes or granulocytes.

CONCLUSIONSThe sensitivity of double immunofluorescence flow cytometry assay was higher than that of BMMNC-Coombs test for detecting autoantibodies. In immunorelated cytopenia patients, the predominant autoantibody was IgM which could cause intravascular hemolysis, and the second one was IgG which could cause severe anemia. Most immunorelated cytopenia patients had autoantibodies on hematopoietic stem cells and showed pancytopenia. IgA was more easily seen on the hematopoietic stem cells.

Adolescent ; Adult ; Aged ; Autoantibodies ; classification ; metabolism ; Autoimmune Diseases ; immunology ; Bone Marrow Cells ; immunology ; Child ; Coombs Test ; Female ; Flow Cytometry ; Humans ; Immunoglobulin A ; metabolism ; Immunoglobulin G ; metabolism ; Immunoglobulin M ; metabolism ; Male ; Middle Aged ; Pancytopenia ; immunology

This study established a method for rapid quantification of terpene lactone, bilobalide, ginkgolide C, ginkgolide A and ginkgolide B in the chromatographic process of Ginkgo Folium based on near infrared spectroscopy(NIRS). The effects of competitive adaptive reweighting sampling(CARS), random frog(RF), and synergy interval partial least squares(siPLS) on the performance of partial least squares regression(PLSR) model were compared to the reference values measured by HPLC. Among them, the correlation coefficients of prediction(Rp) of validation sets of terpene lactone, bilobalide, and ginkgolide C were all higher than 0.98, and the relative standard errors of prediction(RSEPs) were 5.87%, 6.90% and 6.63%, respectively. Aiming at ginkgolide A and ginkgolide B with relatively low content, the genetic algorithm joint extreme learning machine(GA-ELM) was used to establish the optimized quantitative analysis model. Compared with CARS-PLSR model, the CARS-GA-ELM models of ginkgolide A and ginkgolide B exhibited a reduction in RSEP from 15.65% to 8.52% and from 21.28% to 10.84%, respectively, which met the needs of quantitative ana-lysis. It has been proved that NIRS can be used for the rapid detection of various lactone components in the chromatographic process of Ginkgo Folium.
Chromatography, High Pressure Liquid ; Ginkgo biloba ; Lactones/analysis* ; Least-Squares Analysis ; Spectroscopy, Near-Infrared/methods*

BACKGROUND: Cardiovascular (CV) disease is the leading cause of morbidity and mortality in adults with type 2 diabetes (T2D). The aim of this study was to determine the CV risk in Chinese patients with T2D based on the 2019 European Society of Cardiology (ESC) and the European Association for the Study of Diabetes (EASD) guidelines on diabetes, pre-diabetes, and CV diseases. METHODS: A total of 25,411 patients with T2D, who participated in the study of China Cardiometabolic Registries 3B study, were included in our analysis. We assessed the proportions of patients in each CV risk category according to 2019 ESC/EASD guidelines. RESULTS: Based on the 2019 ESC/EASD guidelines, 16,663 (65.6%), 1895 (7.5%), and 152 (0.6%) of patients were included in "very high risk," "high risk," and "moderate risk" categories, respectively. The proportions of patients in each category varied based on age, sex, body mass index, and duration. While 58.7% (9786/16,663) of elderly patients were classified to "very high risk" group, 89.6% (3732/4165) of patients with obesity were divided into "very high risk" group. Almost all patients with a duration of diabetes >10 years had "very high risk" or "high risk." However, 6701 (26.4%) of Chinese T2D patients, who had shorter duration, and one or two risk factors, could not be included in any category (the "unclear risk" category). CONCLUSIONS In China, most patients with T2D have "very high" or "high" CV risk based on 2019 ESC/EASD guidelines. However, the risk of patients in "unclear risk" group needs to be further classified.
Adult ; Aged ; Cardiovascular Diseases/epidemiology* ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2 ; Heart Disease Risk Factors ; Humans ; Risk Factors

Humans ; Retrospective Studies ; Tetanus/epidemiology* ; China/epidemiology*