The transmission of HIV-1 from mother to child during pregnancy is unlike other types of HIV-1 transmission because the child shares major histocompatibility complex (MHC) genes with the mother during a time while the mother is induced to tolerate the paternally derived fetal MHC molecules, in part through natural killer (NK) recognition of MHC polymorphisms. The relevance of these immune mechanisms to HIV-1 transmission was assessed by determining the HLA-B alleles of mother and infant. Almost half (48%) of mothers who transmitted with low viral loads had HLA-B*1302, B*3501, B*3503, B*4402, or B*5001 alleles, compared with 8% of nontransmitting mothers (P=0.001). Conversely, 25% of mothers who did not transmit despite high viral loads had B*4901 and B*5301, vs. 5% of transmitting mothers (P=0.003), a pattern of allelic involvement distinct from that influencing HIV-1 infection outcome. The infant's HLA-B alleles did not appear associated with transmission risk. The HLA-B*4901 and B*5301 alleles that were protective in the mother both differed respectively from the otherwise identical susceptibility alleles, B*5001 and B*3501, by 5 amino acids encoding the ligand for the KIR3DL1 NK receptor. These results suggest that the probable molecular basis of the observed association involves definition of the maternal NK recognition repertoire by engagement of NK receptors with polymorphic ligands encoded by maternal HLA-B alleles, and that the placenta is the likely site of the effect that appears to protect against transmission of maternal HIV-1 through interrelating adaptive and innate immune recognition.
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http://dx.doi.org/10.1097/00126334-200406010-00002 | DOI Listing |
HLA
January 2025
Federal State Budget Institution National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov, Moscow, Russia.
The new HLA-B*35:01:80 allele showed one synonymous nucleotide difference compared to the HLA-B*35:01:01:01 allele in codon 137.
View Article and Find Full Text PDFHLA
January 2025
Kirov Hematology and Blood Transfusion Research Institute Under the Federal Medicine and Biology Agency, Federal State Budget Research Institution, Kirov, Russia.
Six novel HLA class I alleles were detected during the HLA typing process.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Endocrinology and Metabolic Diseases, Polish Mother's Memorial Hospital-Research Institute, 281/289 Rzgowska St., 93-338 Lodz, Poland.
: Severe COVID-19 still constitutes an important health problem. Taking into account the crucial role of HLA in immune reactions, evaluation of the impact of HLA on COVID-19 risk and clinical course seemed necessary, as the already available data are inconsistent. The aim of the present study was to compare the HLA profiles of patients with symptomatic SARS-CoV-2 infection and a healthy control group, as well as to compare HLA allele frequencies in patients with severe and non-severe courses of COVID-19.
View Article and Find Full Text PDFBMC Immunol
January 2025
Laboratoire Génomique, Bioinformatique, et Chimie Moléculaire, Conservatoire National des Arts et Métiers, 2 rue Conté 75003, Paris, EA7528, France.
Introduction: We have reanalyzed the genomic data from the International Collaboration for the Genomics of HIV (ICGH), focusing on HIV-1 Elite Controllers (EC).
Methods: A genome-wide association study (GWAS) was performed, comparing 543 HIV-1 EC individuals with 3,272 uninfected controls (CTR) of European ancestry. 8 million single nucleotide polymorphisms (SNPs) and HLA class I and class II gene alleles were imputed to compare EC and CTR.
Med Microbiol Immunol
December 2024
Grupo de Estudio en Parasitología Molecular (GEPAMOL), Faculty of Health Sciences, Centro de Investigaciones Biomédicas, Universidad del Quindío, Quindio, Armenia, Colombia.
Toxoplasma gondii infects approximately 30% of the population, and there is currently no approved vaccine. Identifying immunogenic peptides with high affinity to different HLA molecules is a promising vaccine strategy. This study used an in silico approach using artificial neural networks to identify T.
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