Biology subjects

Amman, F.

Publications and source records attributed to Amman, F..

6 recordsLinked to original sources

bioRxiv2025

CD8+ T cells regulate the bioenergetic reprogramming of lymphoid organs and the heart during viral infection

The activation of the immune system is a bioenergetically-costly process1. Yet, essential bodily functions require a continuous energy supply, imposing energy constraints and trade-offs between competing processes2. Our understanding of the underlying bioenergetic adaptations reconciling rapid immune activation with other vital processes remains scarce. 3-6 Here, by using experimental models of viral infections, we identified an unexpected CD8+ T cell-driven redistribution of energy substrates between lymphoid organs and the heart. Viral infection promoted systemic hypoglycaemia and ketogenesis, together with systemic reallocation of energy substrates. Across organs analysed, secondary lymphoid organs and the heart showed the most dramatic changes. The former increased glucose uptake and oxidation while the heart showed the opposite, switching to preferential fatty acid utilization. These bioenergetic adaptations were absent in infected mice lacking CD8+ T cells or with T cells lacking the glucose transporter GLUT1. Pharmacological inhibition of fatty acid oxidation forced a systemic switch to glucose oxidation. This was associated with metabolic decompensation, reduced cardiac energetics, left ventricular stress, and mortality in otherwise nonlethal viral infections. Our results reveal how the energetic cost of immune cell activation imposes bioenergetic adaptations on non-lymphoid organs, posing a major challenge for the heart by completely relying on fatty acids.

immunology↗

bioRxiv2025

Purine nucleobases enhance CD8+ T cell effector function

During antiviral immune responses, activated immune cells remodel metabolic pathways towards uptake and utilization of biosynthetic and bioenergetic metabolites. Concurrently, viral infections alter metabolic environments, impacting metabolite availability for the establishment of an effective immune response. Here, we integrated in vivo metabolomics data from murine and human viral infections with in vitro metabolite screens, identifying purine nucleobases as novel immunometabolites that enhance CD8+ T cell effector function. We found that CD8+ T cells can switch from resource-intensive purine de novo synthesis to purine salvage pathway, to produce nucleotides from purine nucleobases. This strategy of metabolic adaptation allows diversion of biosynthetic and bioenergetic resources towards enhancing effector molecule production. Our findings unveil an adaptation strategy by CD8+ T cells to manage metabolic challenges in dynamic organismal environments and suggest pharmacological targets in purine metabolism as potential targets for immunotherapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=144 SRC="FIGDIR/small/669899v1_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@17b4b15org.highwire.dtl.DTLVardef@17e57a3org.highwire.dtl.DTLVardef@1abc36aorg.highwire.dtl.DTLVardef@1aa704a_HPS_FORMAT_FIGEXP M_FIG C_FIG Instead of producing nucleotides via purine de novo synthesis, CD8+ T cells can import and utilize purine nucleobases via the purine salvage pathway to divert bioenergetic and biosynthetic resources towards effector function. By shifting from purine de novo synthesis to the purine salvage pathway, cells save significant resources: 5 moles of the key bioenergetic metabolite ATP, and biosynthetic metabolites including 2 moles of glutamine, 1 mole each of serine or glycine, and 1 mole of aspartate.

immunology↗

bioRxiv2025

Crosstalk between CD8+ T cells and systemic bile acid metabolism controls LCMV-induced immunopathology

Antiviral immunity has a profound effect on host metabolism, which can, in turn, modulate immune responses and influences disease pathology. Among its many functions, the liver orchestrates systemic bile acid (BA) metabolism, a pathway disrupted in chronic liver diseases such as viral hepatitis. BAs have become increasingly recognized for their immunomodulatory properties, and multiple BA species are being explored as therapeutic agents in liver diseases. Understanding the interplay between immune responses and BA metabolism could unlock new therapeutic opportunities based on BA modulation. Using lymphocytic choriomeningitis virus (LCMV) as a model, we investigated the interplay between chronic hepatotropic virus infection, BA metabolism and immunity. Our findings reveal that chronic LCMV infection increases BA levels and shifts circulating and liver BA composition towards host-derived, conjugated BAs. At the same time, hepatic BA transport and synthesis genes are broadly downregulated, which is at least partially dependent on CD8+ T cells. Additionally, we found that sustained high BA levels impact CD8+ T cell responses to chronic LCMV infection. Mice with elevated circulating BAs due to the lack of BA transporters OATP1a and OATP1b, showed impaired T cell expansion and reduced liver immunopathology. These findings reveal a reciprocal interplay between CD8+ T cells and BA metabolism, expanding our understanding of adaptive immunity against viral hepatitis. Moreover, it highlights how immuno-metabolic changes in liver disease may affect the bodys ability to fight infections and cancer. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=170 SRC="FIGDIR/small/670599v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@7d4bcorg.highwire.dtl.DTLVardef@1f84b5org.highwire.dtl.DTLVardef@1419686org.highwire.dtl.DTLVardef@1014b8c_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Comparative wastewater virome analysis with different enrichment methods

Wastewater-based epidemiology (WBE) has proven its value for public health. Physical concentration of virus particles is a crucial step for WBE to permit a sensitive and unbiased characterization of the catchment virome. Here we evaluate five different virion concentration techniques, including polyethylene glycol precipitation (PEG), vacuum-based direct capture (VDC), ultrafiltration (UF), NanoTrap (NT), and membrane adsorption (MEM) for their suitability to concentrate a wide variety of viral taxa from raw wastewater for PCR detection and sequencing-based metagenomic readouts. We found that to capture a taxonomically diverse virome from wastewater, PEG and VDC outperform all other methods tested in recovery rates, reproducibility, species detection, and captured nucleotide diversity. We observed that different methods exhibit variable concentration efficiencies across taxonomic groups in a reproducible manner, though we could not identify common physiochemical attributes driving this difference. We conclude both PEG and VDC are equally capable at detecting and enriching a broad range of viral taxa, boosting the genomic information potential and reducing blind spots relative to other tested methods. These results advance WBE towards capturing the complex wastewater virome and help guide protocol choices for potential future viral threats. HighlightsO_LIVirus concentration method choice highly impacts recovered viral communities. C_LIO_LIPolyethylene glycol precipitation (PEG) and vacuum-based direct capture (VDC) detect more viral species with higher nucleotide diversity than other methods tested. C_LIO_LIEnrichment effect of concentration depends on viral taxonomy. C_LIO_LIPEG and VDC yield comparable enrichments of a broad range of viral taxa from wastewater. C_LI

microbiology↗

bioRxiv2019

Unbiased Map of Transcription Termination Sites in Haloferax volcanii reveals manifold termination patterns

Archaeal genomes are densely packed; thus, correct transcription termination is an important factor for orchestrated gene expression. A systematic analysis of RNA 3 termini, to identify transcription termination sites (TTS) using RNAseq data has hitherto only been performed in two archaea. In this study, only part of the genome had been investigated. Here, we developed a novel algorithm that allows an unbiased, genome-wide identification of RNA 3 termini independent of annotation. In an RNA fraction enriched for primary transcripts by terminator exonuclease (TEX) treatment we identified 1,543 RNA 3 termini. A strong sequence signature consistent with known termination events at intergenic loci indicates a clear enrichment for native TTS among them. Using these data we determined distinct putative termination motifs for intergenic (a T stretch) and coding regions (AGATC). In vivo reporter gene tests of selected TTS confirmed termination at these sites, which exemplify the different motifs. For several genes, more than one termination site was detected, resulting in transcripts with different lengths of the 3 untranslated region.

molecular biology↗

bioRxiv2018

Enhancing the cell-free expression of native membrane proteins by in-silico optimization of the coding sequence - an experimental study of the human voltage-dependent anion channel

The investigation of membrane proteins, key constituents of cells, is hampered by the difficulty and complexity of their in vitro synthesis, of unpredictable yield. Cell-free synthesis is herein employed to unravel the impact of the expression construct on gene transcription and translation, without the complex regulatory mechanisms of cellular systems. Through the systematic design of plasmids in the immediacy of the start of the target gene, it was possible to identify translation initiation and the conformation of mRNA as the main factors governing the cell-free expression efficiency of the human voltage dependent anion channel (VDAC), a relevant membrane protein in drug-based therapy. A simple translation initiation model was developed to quantitatively assess the expression potential for the designed constructs. A scoring function is proposed that quantifies the feasibility of formation of the translation initiation complex through the ribosome-mRNA hybridization energy and the accessibility of the mRNA segment binding to the ribosome. The scoring function enables to optimize plasmid sequences and semi-quantitatively predict protein expression efficiencies.

molecular biology↗