ABSTRACT
【Objective】 To investigate the gene frequency and polymorphism of RBC blood group systems in RhD negtive population in Hunan, so as to lay a foundation for clinical blood transfusion and construction of multiple rare blood group database. 【Methods】 Blood samples were taken from 300 RhD negative blood donors, confirmed by serological method, from June 2019 to June 2020,. RHD genotyping was performed by SSP-PCR. For blood donors with typing results as RhD negative plus RHD gene deletion, antigens genotyping of MNS, Duffy, Kell, Domrock, Diego, Kidd, Sciawnna, Colton, Lutheran and Yt RBC blood group systems were performed by SSP-PCR and analyzed by the chi square test of SPSS 20 statistical software. 【Results】 RHD gene deletions accounted for 58.67% (176 / 300) of serological D negative blood donors. The gene frequencies were as follows: MNS: GYPB*S=0.045 5(8/176), GYPB*s=0.954 5(168/176), GYP*Dane=0.039 8(7/176); Duffy: FY*A =0.965 6(170/176), FY*B=0.034 1(6/176); Dombrock: DO*A=0.082 4(14.5/176), DO*B=0.917 6(161.5/176); Diego: DI*A=0.025 6(4.5/176), DI*B =0.974 4(171.5/176); Kidd: JK*A=0.485 8(85.5/176), JK*B=0.514 2(90.5/176); Kell: KP*A=0.005 7(1/176), KP*B=0.994 3(175/176); Lutheran: LU*A=0.005 7(1/176), LU*B=0.994 3(175/176); Yt: YT*A=0.002 8(0.5/176), YT*B=0.997 2(175.5/176). The genotypes of Kell(K+ /k+ ), Scianna and Colton blood groups were KEL*02 /KEL*02, SC*01 /SC*01 and CO*A /CO*B, respectively. The expected frequencies of the combination of type O, RhD negative and other blood group systems were between 1/100 000 to 1/10 000. 【Conclusion】 Among RhD negative blood donors in Hunan, the gene profiles of MNS, Duffy, Domrock, Diego, Kidd, Kell and Lutheran blood group system were polymorphic, and Kell (K+ /k+ ), Colton and Scianna were homozygous. The data of other RBC blood group systems from RhD negative blood donors is of great significance to establish local database of rare blood groups.
ABSTRACT
Pre-transfusion compatibility testing is complicated in autoimmune hemolytic anemia (AIHA) patients due to the presence of autoantibodies. Delays in blood transfusion or even life-threatening would occur if blood type, isoantibodies/ autoantibodies of these patients could not be correctly identified to choose the appropriate blood components. Knowing the detection and treatment countermeasures against blood transfusion compatibility in AIHA patients is of great significance to ensure the timeliness and safety of blood transfusion. Based on the research progress at home and abroad, this article summarizes the serological characteristics, autoantibody types, blood group identification methods, antibody screening and antibody identification methods, and blood transfusion strategies about AIHA patients, in order to eliminate the interference of autoantibodies and provide transfusion guidance for the staff of Blood Transfusion Department.
ABSTRACT
【Objective】 To investigate the complaints of blood quality in Changsha, in order to continuously improve blood quality management. 【Methods】 The Handling Forms of Blood Quality Complaints of our center during 2014~2019, and the blood units issued, corresponded to the occurrence period of complaints, were collected from the SHINOW 9.0 system, and the overall blood supply and complaints of blood quality, including various components, were classified and analyzed by SPSS19.0. 【Results】 1 865 466 bags of blood were delivered from 2014 to 2019 in Changsha, coming down 435 complaints with 435 bags of blood involved, and the total ratio of blood quality complaints rated at 0.23‰(435/1 865 466), of which red blood cell complaint accounted for 45.06%(196/435), with a rise from 30.23%(26/86) in 2014 to 49.49%(49/99) in 2019. Meanwhile, the cryoprecipitate complaint increased from 10.47%(9/86) to 20.20%(20/99). The complaints were mainly broken blood bags 29.89%(130/435), positive serological testing results(irregular antibody screening+ or direct anti globulin test+ ) 34.48%(150/435), floccule or precipitates 18.39%(80/435), clot 5.52%(24/435), lipemia 3.45%(15/435), and blood type variant(ABO subgroups and variants of RhD) 2.07%(9/435). The complaints were different in blood components, each with a particular tilt as follows: positive serological testing results in red blood cell [72.45%(142/186)], broken blood bags in plasma [83.74%(103/123)], floccule or precipitates in platelet [54.17%(13/24)] and cryoprecipitate [64.13%(59/92)] . 【Conclusion】 Broken blood bags of plasma, floccule or precipitates of cryoprecipitate, and positive serological testing results of red blood cell were the main complaints of blood quality in Changsha. Blood banks should strengthen quality control, handle quality complains cautiously and strengthen community with hospitals before transfusion to improve blood satisfaction in clinical, and save blood resources.
ABSTRACT
Protein nitration and nitrosylation are essential post-translational modifications (PTMs) involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are linked to numerous chronic diseases. Therefore, the identification of substrates that undergo such modifications in a site-specific manner is an important research topic in the community and will provide candidates for targeted therapy. In this study, we aimed to develop a computational tool for predicting nitration and nitrosylation sites in proteins. We first constructed four types of encoding features, including positional amino acid distributions, sequence contextual dependencies, physicochemical properties, and position-specific scoring features, to represent the modified residues. Based on these encoding features, we established a predictor called DeepNitro using deep learning methods for predicting protein nitration and nitrosylation. Using n-fold cross-validation, our evaluation shows great AUC values for DeepNitro, 0.65 for tyrosine nitration, 0.80 for tryptophan nitration, and 0.70 for cysteine nitrosylation, respectively, demonstrating the robustness and reliability of our tool. Also, when tested in the independent dataset, DeepNitro is substantially superior to other similar tools with a 7%-42% improvement in the prediction performance. Taken together, the application of deep learning method and novel encoding schemes, especially the position-specific scoring feature, greatly improves the accuracy of nitration and nitrosylation site prediction and may facilitate the prediction of other PTM sites. DeepNitro is implemented in JAVA and PHP and is freely available for academic research at http://deepnitro.renlab.org.
Subject(s)
Humans , Amino Acid Sequence , Amino Acids , Metabolism , Deep Learning , Internet , Neural Networks, Computer , Nitrosation , Proteins , Chemistry , Metabolism , Reproducibility of Results , SoftwareABSTRACT
OBJECTIVE@#To investigate HLA-A, -B, and -DRB1 gene polymorphism in the Miao ethnic group in Hunan, China.@*METHODS@#PCR-sequence specific oligonucleotide probes (SSO) reverse flow chip method was used to type HLA-A, -B, and -DRB1 genes of 154 unrelated healthy Miao ethnic individuals in Hunan. The allele and haplotype frequencies were calculated and compared with other populations in China.@*RESULTS@#A total of 10 HLA-A, 25 HLA-B, and 13 HLA-DRB1 alleles were observed in the population. The higher frequency alleles included A 11(38.96%), A 02(27.27%), A 24(18.83%), B 40(60)(17.53%), B 46(13.96%), B 15(75)(11.69%), DRB1 09(15.26%), DRB1 12(15.26%), DRB1 15(15.26%), and DRB1 04(12.66%). The most frequent haplotypes were A11-B60(9.60%), A2-B46(9.27%), A11-B75(9.22%), B75-DR12(6.31%), A11-DR12(9.62%), A11-DR4(9.07%), A11-DR15(6.69%), A11-B75-DR12(5.43%), A11-B60-DR4(4.24%), and A2-B46-DR9(3.71%). Compared with other populations in China, HLA gene polymorphism of Hunan Miao population was close to that of southern population.@*CONCLUSION@#HLA loci are highly polymorphic in the Miao population of Hunan, and their distribution has the character of South China population.