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Ariadna Rando-Segura

Publications and source records attributed to Ariadna Rando-Segura.

2 recordsLinked to original sources

Whole-Genome Analysis of HEV Under Sequential Ribavirin Pressure Reveals Early Minor Variants Predicting Resistance.

Ribavirin (RBV) failures in chronic hepatitis E virus (HEV) infection may arise from genomic adaptation, yet the contribution of minor variants remains insufficiently explored. Using a shotgun metagenomics based on next-generation sequencing to obtain the full HEV genome, we analyzed longitudinal HEV populations from sequential clinical samples collected from a patient infected by Paslahepevirus balayani genotype 3c, who underwent three different courses of RBV treatment. Viral diversity increased over time, with most amino-acid substitutions detected at sub-consensus frequencies. Several mutations linked to RBV resistance emerged under treatment pressure. Specifically, D1384N and Y1587F became fixed in the final sampling, while additional substitutions at position 1384 (including D1384T) revealed mutational hotspot. Importantly, D1384N and G1634R were already detectable at low allele frequencies after the first treatment cessation and subsequent rebound, showing that the study of minor variant populations can be early predictors for the development of RBV resistance. These findings underscore the genomic plasticity of HEV under antiviral pressure and highlight the value of deep variant profiling for anticipating RBV treatment failure.

Ribavirin

Deep Sequencing Reveals Dual Evolution of SARS-CoV-2: Insights Into Defective Genomes From Wuhan-Hu-1 Variants to Omicron Subvariants.

SARS-CoV-2 has evolved from early variants dominating the first (B.1.5, B.1.1) and second (B.1.177) pandemic waves, which exhibited a higher frequency of minority mutants with deletions leading to Defective Viral Genomes (DVGs) in the spike region near the S1/S2 cleavage site than the Alpha, Beta, and Delta variants. The emergence of Omicron has significantly altered the dominant variant profile, with Omicron subvariants now representing 100% of circulating viruses. To monitor the evolution and adaptation of Omicron in the human population, a deep-sequencing study was performed in RNA samples of BA.1, BA.1.1, BA.2, BA.5, BQ.1.1, XBB.1.5 and BA.2.86 Omicron subvariants. The findings reveal two occurrences of similar evolutionary patterns within SARS-CoV-2 characterized by a shift from a significant to a very low production of DVGs. This event suggests that DVGs might play a role in the virus's spread and adaptation for persistence in infected humans.

SARS-CoV-2