Objectives: Accurately identifying the Antigens (Ags) on recipient red blood cells (RBCs) is critical in prevention of RBC alloimmunization in chronically transfused patients. The goal of this study was to compare RBC...Objectives: Accurately identifying the Antigens (Ags) on recipient red blood cells (RBCs) is critical in prevention of RBC alloimmunization in chronically transfused patients. The goal of this study was to compare RBC molecular genotyping to serological phenotyping in those patients. Methods: Serological phenotyping and molecular genotyping methods were used to study blood samples from 18 healthy blood donors and 16 transfused patients. Reticulocyte harvesting or hypotonic cell separation was added to recheck RBC phenotypes of the patients with discrepancies between phenotyping and genotyping. Results: No discrepancies were found between the two genotyping methods in all the donors and patients. 1 of 9 sickle-cell disease (SCD) patients and all 3 thalassemia patients demonstrated discrepancies in multiple blood groups between phenotyping and genotyping, which were not corrected by reticulocyte harvesting or hypotonic cell separation. Conclusions: These findings suggest that RBC molecular genotyping is superior to serological phenotyping in chronically transfused SCD or thalassemia patients.展开更多
In the present study,the Gene Expression Omnibus(GEO)dataset combined with machine learning was used to study differential genes in acute myocardial infarction(AMI)and to predict potential components and herbal medici...In the present study,the Gene Expression Omnibus(GEO)dataset combined with machine learning was used to study differential genes in acute myocardial infarction(AMI)and to predict potential components and herbal medicines with regulatory effects.The human genome datasets of AMI(GSE66360 and GSE61145)were downloaded from the GEO database,and GSE66360 was used as the test set.After correction by normalization Between Arrays package of R,the limma package was used to obtain differentially expressed genes(DEGs).Then,we carried out Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG),and Disease Ontology(DO)enrichment analysis of DEGs.The feature genes were screened by SVM and random forest tree method,and the obtained feature genes were verified by the GSE61145 dataset.The components of traditional Chinese medicine(TCM)corresponding to AMI feature genes were found by the CTD database,and the corresponding TCM components were mapped by the Coremine database.According to the Dictionary of Traditional Chinese Medicine,Chinese Materia Medica,and Chinese Pharmacopoeia,the frequency,the four qi,five flavors,and meridian tropism of the obtained TCM were summarized.Through the analysis of the GSE66360 dataset,317 DEGs were obtained,of which 306 were up-regulated,and 11 were down-regulated.GO and KEGG enrichment analyses showed that the DEGs of AMI were mainly involved in neutrophil-mediated inflammation and immune response,abnormal lipid metabolism,lipid,and atherosclerosis-related pathways.DO enrichment analysis showed that the DEGs were closely related to atherosclerotic cardiovascular diseases and lung diseases.Six feature genes were obtained by SVM and random forest tree method,including ZFP36,GADD45A,PELI1,METRNL,MMP9,and CXCL16.Moreover,we found that the treatment of AMI Chinese medicine to sweet,bitter,and warm mostly attributed to the spleen,stomach,and liver.Besides,the components corresponding to the feature genes regulating AMI(ZFP36,GADD45A,PELI1,METRNL,MMP9,CXCL16)mainly included benzo(a)pyrene,tetrachlorodibenzodioxin,acetaminophen,and so on,and the corresponding TCMs included Camellia sinensis,Curcumaaromatica Salisb,Panax ginseng,and so on.In addition,a sweet taste,bitter taste,warm taste,and channel entry mainly belonged to the spleen,stomach,and liver meridians.展开更多
文摘Objectives: Accurately identifying the Antigens (Ags) on recipient red blood cells (RBCs) is critical in prevention of RBC alloimmunization in chronically transfused patients. The goal of this study was to compare RBC molecular genotyping to serological phenotyping in those patients. Methods: Serological phenotyping and molecular genotyping methods were used to study blood samples from 18 healthy blood donors and 16 transfused patients. Reticulocyte harvesting or hypotonic cell separation was added to recheck RBC phenotypes of the patients with discrepancies between phenotyping and genotyping. Results: No discrepancies were found between the two genotyping methods in all the donors and patients. 1 of 9 sickle-cell disease (SCD) patients and all 3 thalassemia patients demonstrated discrepancies in multiple blood groups between phenotyping and genotyping, which were not corrected by reticulocyte harvesting or hypotonic cell separation. Conclusions: These findings suggest that RBC molecular genotyping is superior to serological phenotyping in chronically transfused SCD or thalassemia patients.
基金National Natural Science Foundation of China(Grant No.81704061,81173213)R&D plan for key areas of Hunan Provincial Department of Science and Technology(Grant No.2019SK2321)+2 种基金Hunan Science and Technology Talent Lifting Project(Grant No.2020TJ-N01)Hunan Development and Reform Commission Innovation Guidance Project(Hunan Development and Reform Investment 2019-412)Special Project for the Construction of“Four Seasons Adjusting Yang”Key Laboratory of Mental Diseases in Hunan Provincial Administration of Traditional Chinese Medicine,the“Double First-Class”Discipline Construction Project of Traditional Chinese Medicine in Hunan Province.
文摘In the present study,the Gene Expression Omnibus(GEO)dataset combined with machine learning was used to study differential genes in acute myocardial infarction(AMI)and to predict potential components and herbal medicines with regulatory effects.The human genome datasets of AMI(GSE66360 and GSE61145)were downloaded from the GEO database,and GSE66360 was used as the test set.After correction by normalization Between Arrays package of R,the limma package was used to obtain differentially expressed genes(DEGs).Then,we carried out Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG),and Disease Ontology(DO)enrichment analysis of DEGs.The feature genes were screened by SVM and random forest tree method,and the obtained feature genes were verified by the GSE61145 dataset.The components of traditional Chinese medicine(TCM)corresponding to AMI feature genes were found by the CTD database,and the corresponding TCM components were mapped by the Coremine database.According to the Dictionary of Traditional Chinese Medicine,Chinese Materia Medica,and Chinese Pharmacopoeia,the frequency,the four qi,five flavors,and meridian tropism of the obtained TCM were summarized.Through the analysis of the GSE66360 dataset,317 DEGs were obtained,of which 306 were up-regulated,and 11 were down-regulated.GO and KEGG enrichment analyses showed that the DEGs of AMI were mainly involved in neutrophil-mediated inflammation and immune response,abnormal lipid metabolism,lipid,and atherosclerosis-related pathways.DO enrichment analysis showed that the DEGs were closely related to atherosclerotic cardiovascular diseases and lung diseases.Six feature genes were obtained by SVM and random forest tree method,including ZFP36,GADD45A,PELI1,METRNL,MMP9,and CXCL16.Moreover,we found that the treatment of AMI Chinese medicine to sweet,bitter,and warm mostly attributed to the spleen,stomach,and liver.Besides,the components corresponding to the feature genes regulating AMI(ZFP36,GADD45A,PELI1,METRNL,MMP9,CXCL16)mainly included benzo(a)pyrene,tetrachlorodibenzodioxin,acetaminophen,and so on,and the corresponding TCMs included Camellia sinensis,Curcumaaromatica Salisb,Panax ginseng,and so on.In addition,a sweet taste,bitter taste,warm taste,and channel entry mainly belonged to the spleen,stomach,and liver meridians.
