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1.
HLA ; 99(1): 25-30, 2022 01.
Article in English | MEDLINE | ID: covidwho-1522855

ABSTRACT

The ability of COVID-19 vaccination to induce anti-HLA antibodies (Abs) formation in renal transplant candidates is not well studied. A 42-year-old man on a renal transplant waitlist, with no sensitization history, was tested for DSA before and after COVID-19 vaccination. Patient has consistently tested negative for COVID-19 virus. Eighteen days after receiving first dose of mRNA-based vaccine, flow cytometry crossmatch (FCXM) was strongly positive with de novo donor-specific Ab (dnDSA) against B57 and de novo non-DSA against B58. Before vaccination, preliminary FCXM was negative with no anti-HLA Abs. This event prompted the transplant team to cancel the surgery. COVID-19 vaccination could be associated with anti-HLA Abs formation in renal patients on waitlists that could affect future transplantability.


Subject(s)
COVID-19 Vaccines/immunology , COVID-19 , Isoantibodies/blood , Kidney Transplantation , Adult , Alleles , COVID-19/prevention & control , Graft Rejection/prevention & control , HLA Antigens/genetics , Humans , Male , Vaccination , Waiting Lists
2.
Biomed Res Int ; 2021: 5553173, 2021.
Article in English | MEDLINE | ID: covidwho-1288476

ABSTRACT

Real-time genome monitoring of the SARS-CoV-2 pandemic outbreak is of utmost importance for designing diagnostic tools, guiding antiviral treatment and vaccination strategies. In this study, we present an accurate method for temporal and geographical comparison of mutational events based on GISAID database genome sequencing. Among 42523 SARS-CoV-2 genomes analyzed, we found 23202 variants compared to the reference genome. The Ti/Tv (transition/transversion) ratio was used to filter out possible false-positive errors. Transition mutations generally occurred more frequently than transversions. Our clustering analysis revealed remarkable hotspot mutation patterns for SARS-CoV-2. Mutations were clustered based on how their frequencies changed over time according to each geographical location. We observed some clusters showing a clear variation in mutation frequency and continuously evolving in the world. However, many mutations appeared in specific periods without a clear pattern over time. Various important nonsynonymous mutations were observed, mainly in Oceania and Asia. More than half of these mutations were observed only once. Four hotspot mutations were found in all geographical locations at least once: T265I (NSP2), P314L (NSP12), D614G (S), and Q57H (ORF3a). The current analysis of SARS-CoV-2 genomes provides valuable information on the geographical and temporal mutational evolution of SARS-CoV-2.


Subject(s)
COVID-19 , Databases, Nucleic Acid , Evolution, Molecular , Genome, Viral , Mutation , Pandemics , Phylogeny , SARS-CoV-2/genetics , COVID-19/epidemiology , COVID-19/genetics , Humans
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