AI Article Synopsis

  • There has been growing interest in anelloviruses, which are part of the human virome, for predicting post-transplant complications like severe infections.
  • A pilot study examined the anellovirus profiles of 10 autologous stem cell transplant patients using metagenomic next-generation sequencing on 108 plasma samples collected over time.
  • Findings revealed significant individual differences in anellovirus abundance and composition, with notable variations related to sex and disease progression, suggesting potential for using these viruses as biomarkers for immune health.

Article Abstract

Over recent years, there has been increasing interest in the use of the anelloviruses, the major component of the human virome, for the prediction of post-transplant complications such as severe infections. Due to an important diversity, the comprehensive characterization of this viral family over time has been poorly studied. To overcome this challenge, we used a metagenomic next-generation sequencing (mNGS) approach with the aim of determining the individual anellovirus profile of autologous stem cell transplant (ASCT) patients. We conducted a prospective pilot study on a homogeneous patient cohort regarding the chemotherapy regimens that included 10 ASCT recipients. A validated viral mNGS workflow was used on 108 plasma samples collected at 11 time points from diagnosis to 90 days post-transplantation. A complex interindividual variability in terms of abundance and composition was noticed. In particular, a strong sex effect was found and confirmed using quantitative PCR targeting torque teno virus, the most abundant anellovirus. Interestingly, an important turnover in the anellovirus composition was observed during the course of the disease revealing a strong intra-individual variability. Although more studies are needed to better understand anellovirus dynamics, these findings are of prime importance for their future use as biomarkers of immune competence.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266913PMC
http://dx.doi.org/10.3390/v10110633DOI Listing

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