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Guarnieri, J.

Publications and source records attributed to Guarnieri, J..

2 recordsLinked to original sources

Multi-omic analysis identifies mitochondrial dysfunction as a conserved driver of acute severity and long-term complications in RSV infection

Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infection in infants, older adults, and immunocompromised individuals. The molecular mechanisms linking acute RSV infection to disease severity and long-term complications remain incompletely understood. Herein, we conducted a comprehensive multi-omic analysis of 12 independent datasets encompassing epigenomics, transcriptomics, proteomics, and metabolomics across diverse systems, including in vitro infection models, clinical cohorts, longitudinal pediatric studies, vaccination models, and multiple viral strains. Across these experimental platforms and omic analysis, RSV consistently triggered suppression of oxidative phosphorylation (OXPHOS), alongside HIF-1-driven glycolytic metabolism and mitochondrial stress response. This coordinated reprogramming was consistent across transcriptomic, proteomic, and chromatin datasets. In adult challenge studies, symptomatic individuals exhibited prolonged OXPHOS suppression and greater activation of HIF-1 immune signaling than asymptomatic individuals. Similarly, pediatric intensive care cohorts showed comparable signatures associated with severe disease. Vaccinated mice showed attenuation of infection-induced metabolic disruption, further supporting a link between mitochondrial dysfunction and disease severity. Longitudinal analyses in pediatric samples revealed that these metabolic alterations persist for up to 1-year post-infection, with sustained metabolic dysfunction, persistent epigenetic remodeling, and single-cell evidence of epithelial remodeling, including depletion of multiciliated cells, expansion of secretory populations, and prolonged OXPHOS suppression, in children who developed wheezing. Comparative analysis across RSV strains revealed variable OXPHOS suppression and variable HIF-1 activation, indicating strain-specific differences in metabolic reprogramming. Together, these findings establish mitochondrial dysfunction as a central and conserved feature of RSV pathogenesis, encompassing acute severity, viral strain variation, and long-term complications, and highlight mitochondrial pathways as promising therapeutic targets to mitigate both acute disease severity and post-viral sequelae. Ultimately, demonstrating that distinct viral lineages drive unique bioenergetic phenotypes establishes a foundation for predictive molecular epidemiology and gaining insight into host-pathogen dynamics in response to novel interventions. HighlightsO_LIMulti-omic integration of 13 independent RSV datasets reveals mitochondrial dysfunction as a conserved hallmark of infection. C_LIO_LIRSV consistently suppresses oxidative phosphorylation (OXPHOS) while activating HIF-1 signaling, glycolysis, mitochondrial stress responses, and immune pathways. C_LIO_LIGreater mitochondrial dysfunction correlates with increased disease severity, persists in children who develop wheezing, and is partially ameliorated by vaccination. C_LIO_LIDistinct RSV strains display variable patterns of metabolic reprogramming, linking viral genetic diversity to differential host mitochondrial responses. C_LI

systems biology↗

A pan-tissue, pan-disease compendium of human orphan genes

Species-specific genes are ubiquitous in evolution, with functions ranging from prey paralysis to survival in subzero temperatures. Because they are typically expressed under limited conditions and lack canonical features, such genes may be vastly under-identified, even in humans. Here, we leverage terabytes of human RNA-Seq data to identify thousands of highly-expressed transcripts that do not correspond to any Gencode-annotated gene. Many may be novel ncRNAs although 80% of them contain ORFs that have the potential of encoding proteins unique to Homo sapiens (orphan genes). We validate our findings with independent strand-specific and single-cell RNA-seq datasets. Hundreds of these novel transcripts overlap with deleterious genomic variants; thousands show significant association with disease-specific patient survival. Most are dynamically regulated and accumulate selectively in particular tissues, cell-types, developmental stages, tumors, COVID-19, sex, and ancestries. As such, these transcripts hold potential as diagnostic biomarkers or therapeutic targets. To empower future discovery, we provide a compendium of these huge RNA-Seq expression data, and RiboSeq data, with associated metadata. Further, we supply the gene models for the novel genes as UCSC Genome Browser tracks.

evolutionary biology↗