The monoclonal antibody-specific immobilization of platelet antigens (MAIPA) assay is considered as a possible reference method for the detection of maternal alloantibodies when a foetomaternal alloimmunization is suspected. However, this method is tedious. In this study, we have compared the MAIPA results of 54 samples of mothers with (n=34) or without (n=20) alloantibodies with those obtained with a new antigen capture ELISA. Using the cutoff of 2.0 given by the manufacturer, the new kit had a sensitivity of 88.2% (95% CI 72.6-96.7) and a specificity of 100% (95% CI 98.0-100). From a receiver-operating characteristic curve analysis, the more appropriate cutoff for a screening assay would be 1.6, which gives a sensitivity of 100% (95% CI 89.7-100) with a specificity of 94.0% (95% CI 89.4-96.9). In conclusion, this new simple assay appears promising and could be used, with the modified cutoff, as a screening assay for the detection of platelet alloantibodies.
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http://dx.doi.org/10.1016/s0049-3848(98)00107-8 | DOI Listing |
Clin Transl Sci
January 2025
Department of Pharmacology, Yonsei University College of Medicine, Seoul, Korea.
Granulocyte colony-stimulating factor (G-CSF) mobilizes peripheral blood (PB) progenitor cells from bone marrow (BM) into circulation for PB stem cell transplantation (PBSCT). This study aimed to develop a population pharmacokinetic-pharmacodynamic (PK-PD) model of filgrastim in healthy subjects to optimize PB CD34 cell collection. Plasma filgrastim concentrations and CD34 cell count data were obtained from a clinical study involving healthy Korean subjects.
View Article and Find Full Text PDFTheranostics
January 2025
School of Pharmacy, Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai 264003, China.
Copper plays an important role in the regulation of PD-L1, suggesting that reducing copper levels within tumors may enhance anti-cancer immunotherapy. Tumor microenvironment responsive copper nanodeprivator (TMECN) was developed for enhancing immunotherapy of tumor via the cross-link of mercaptopolyglycol bipyridine and dimercaptosuccinic acid modifying FePt nanoalloy using the disulfide bond. Upon entering tumor cells, the disulfide bond in TMECN is cleaved by the overexpressed glutathione, exposing abundance of sulfhydryl groups.
View Article and Find Full Text PDFNanotheranostics
January 2025
Translational Research Laboratory, Department of Experimental Medicine and Biotechnology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Pleural tuberculosis (pTB) is a diagnostic challenge because of its non-specific clinical features, lack of accurate diagnostic tools and paucibacillary nature of the disease. We, here describe the development of a novel magnetic nanoparticle antibody-conjugate and aptamer-based assay (MNp-Ab-Ap assay) targeting 4 different (. ) antigens (GlcB, MPT51, MPT64 and CFP-10) for pTB diagnosis.
View Article and Find Full Text PDFACS Nano
December 2024
Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu 300044, Taiwan.
Dendritic cells (DCs) play a crucial role in initiating antitumor immune responses. However, in the tumor environment, dendritic cells often exhibit impaired antigen presentation and adopt an immunosuppressive phenotype, which hinders their function and reduces their ability to efficiently present antigens. Here, a dual catalytic oxide nanosponge (DON) doubling as a remotely boosted catalyst and an inducer of programming DCs to program immune therapy is reported.
View Article and Find Full Text PDFNat Commun
December 2024
Oncology Bioinformatics, Genentech, South San Francisco, CA, USA.
Based on the success of cancer immunotherapy, personalized cancer vaccines have emerged as a leading oncology treatment. Antigen presentation on MHC class I (MHC-I) is crucial for the adaptive immune response to cancer cells, necessitating highly predictive computational methods to model this phenomenon. Here, we introduce HLApollo, a transformer-based model for peptide-MHC-I (pMHC-I) presentation prediction, leveraging the language of peptides, MHC, and source proteins.
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