Article
FUT2, Secretor Status and FUT3 Polymorphisms of Children with Acute Diarrhea Infected with Rotavirus and Norovirus in Brazil
Registro en:
TONINI, Marco André Loureiro et al. FUT2, Secretor Status and FUT3 Polymorphisms of Children with Acute Diarrhea Infected with Rotavirus and Norovirus in Brazil. Viruses, v. 12, p. 1-14, Sept. 2020.
1999-4915
10.3390/v12101084
Autor
Tonini, Marco André Loureiro
Barreira, Débora Maria Pires Gonçalves
Santolin, Luciana Bueno de Freitas
Volpini, Lays Paula Bondi
Leite, José Paulo G.
Le Moullac-Vaidye, Béatrice
Le Pendu, Jacques
Spano, Liliana Cruz
Resumen
Host susceptibility according to human histo-blood group antigens (HBGAs) is widely
known for norovirus infection, but is less described for rotavirus. Due to the variable HBGA
polymorphism among populations, we aimed to evaluate the association between HBGA phenotypes
(ABH, Lewis and secretor status) and susceptibility to rotavirus and norovirus symptomatic infection,
and the polymorphisms of FUT2 and FUT3, of children from southeastern Brazil. Paired fecal-buccal
specimens from 272 children with acute diarrhea were used to determine rotavirus/norovirus
genotypes and HBGAs phenotypes/genotypes, respectively. Altogether, 100 (36.8%) children were
infected with rotavirus and norovirus. The rotavirus P[8] genotype predominates (85.7%). Most of the
noroviruses (93.8%) belonged to genogroup II (GII). GII.4 Sydney represented 76% (35/46) amongst
five other genotypes. Rotavirus and noroviruses infected predominantly children with secretor status
(97% and 98.5%, respectively). However, fewer rotavirus-infected children were Lewis-negative (8.6%)
than the norovirus-infected ones (18.5%). FUT3 single nucleotide polymorphisms (SNP) occurred
mostly at the T59G > G508A > T202C > C314T positions. Our results reinforce the current knowledge
that secretors are more susceptible to infection by both rotavirus and norovirus than non-secretors.
The high rate for Lewis negative (17.1%) and the combination of SNPs, beyond the secretor status,
may reflect the highly mixed population in Brazil.