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Biology subjects

Gillet, N. A.

Publications and source records attributed to Gillet, N. A..

2 recordsLinked to original sources

Pathogenic IgG from long COVID patients with neurological sequelae triggers sensitive but not cognitive impairments upon transfer into mice

Approximately 30% of long COVID patients still experience neurological symptoms (brain fog, pain, chronic fatigue) more than 4 months after the onset of COVID-19. This condition, known as neurological long COVID, remains poorly understood and might be explained by a persisting autoimmune response against nervous-derived self-antigens. The aim of this study is to determine whether IgG autoantibodies from long COVID patients with neurological sequelae can bind to central or peripheral nervous system epitopes and triggers neuropsychiatric symptoms upon passive transfer into mice, thereby mirroring patient-reported manifestations. Long COVID patients meeting the 2021 consensus WHO definition were included following a standardized neuropsychological assessment, while excluding patients with a medical history of autoimmune and neurological disorders. Age- and sex-matched asymptomatic individuals were used as healthy controls. Total IgGs were isolated using protein G purification and injected intraperitoneally into C57Bl6/J mice for four consecutive days. During the two weeks post-injections, behavioral tests assessed mechanical allodynia, thermal hyperalgesia, spatial working memory, depression, and anxiety. Mice injected with IgG from long COVID patients showed no difference with the control group in terms of anxiety or depression behaviors, as well as no impairment of short- or long-term spatial memories and thermal hyperalgesia. However, they displayed a transient decrease of paw withdrawal threshold during the first week. This effect was abolished when IgG-depleted serum or papain-digested IgGs were transferred. IgG from long COVID patients accumulated in the lumbar dorsal root ganglia of injected mice and colocalized with proprioceptive and nociceptive sensory neurons, without inducing local neuroinflammation or astrogliosis. These data demonstrate that IgGs from long COVID patients bind to peripheral sensory neurons and induce pain-related symptoms in mice. Our findings also support the hypothesis that autoantibodies mediate pain-related pathophysiology in the spectrum of long COVID symptoms.

neuroscience↗

Unbiased and comprehensive identification of viral encoded circular RNAs in a large range of viral species and families

Non-coding RNAs play a significant role in viral infection cycles, with recent attention focused on circular RNAs (circRNAs) originating from various viral families. Notably, these circRNAs have been associated with oncogenesis and alterations in viral fitness. However, identifying their expression has proven more challenging than initially anticipated due to unique viral characteristics. This challenge has the potential to impede progress in our understanding of viral circRNAs. Key hurdles in working with viral genomes include: (1) the presence of repetitive regions that can lead to misalignment of sequencing reads, and (2) unconventional splicing mechanisms that deviate from conserved eukaryotic patterns. To address these challenges, we developed vCircTrappist, a bioinformatic pipeline tailored to identify backsplicing events and pinpoint loci expressing circRNAs in RNA sequencing data. Applying this pipeline, we obtained novel insights from both new and existing datasets encompassing a range of animal and human pathogens belonging to Herpesviridae, Retroviridae, Adenoviridae and Orthomyxoviridae families. Subsequent RT-PCR and Sanger sequencings validated the accuracy of the developed bioinformatic tool for a selection of new candidate viral encoded circRNAs. These findings demonstrate that vCircTrappist is an open and unbiased approach for comprehensive identification of virus-derived circRNAs. Significance StatementCircular RNAs (circRNAs) were revealed to have prominent roles in cellular life in the past decade. They were more recently shown to be expressed by viruses, influencing their infectious cycles and host-pathogen relationship. In this context, viruses that were not previously associated with cellular splicing processes are shown to express circRNAs through unknown mechanisms. These non-canonical circRNAs were already shown to be important in the viral cycle and pathogenesis of the viruses they are encoded from. Here, we propose a bioinformatics pipeline that bypasses the limitations of the existing tools in the identification of viral circRNA. Using this pipeline, we discovered numerous candidates and invite the reader to start its own exploration in the realm of viral encoded circRNAs. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=72 SRC="FIGDIR/small/600382v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@1003330org.highwire.dtl.DTLVardef@20d366org.highwire.dtl.DTLVardef@116f38forg.highwire.dtl.DTLVardef@1d04a76_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗