bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.03.24.586456

MAPPING CHANGES OF MIRNA-MRNA NETWORKS IN LEISHMANIA-INFECTED MACROPHAGES PREDICTS REGULATORY MIRNA-TF LOOPS AS NOVEL TARGETS OF PARASITE IMMUNE SUBVERSION

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at the post-transcriptional level and play a crucial role in numerous disease processes, including infections. Although intracellular microbial pathogens are known to modulate host cell gene expression to establish permissive conditions for infection, the specific role of host-encoded miRNAs underlying such subversion remains poorly understood. In this study, we employed the protozoan parasite Leishmania amazonensis as a model system to investigate how infection of macrophages modifies the host cell miRNA profile to evade antimicrobial functions and to establish permissive conditions for intracellular proliferation. Dual RNA-seq analyses using matched mRNA and miRNA-enriched samples from uninfected and L. amazonensis-infected bone marrow-derived macrophages (BMDMs) revealed 102 differentially expressed miRNAs (padj<0.05), with 18 miRNAs showing reduced and 84 miRNAs showing increased abundance in infected BMDMs. Mapping putative networks of miRNA-mRNA interactions based on the observed expression changes, combined with Gene Ontology enrichment analyses, allowed us to identify potential miRNA target genes involved in key biological processes and metabolic pathways that permit parasite intracellular survival and proliferation. Our analyses predict the existence of a large miRNA-mRNA network affecting the expression level of numerous transcription factors that indicates inhibition of the NF-{kappa}B-dependent inflammatory response or the promotion of cholesterol biosynthesis during infection. In particular, the over 10e3-fold increase in the abundance of mmu-miR-686 in infected BMDMs was correlated with a reduced abundance of putative target transcripts implicated in miRNA biogenesis itself, in RNA binding, and in regulation of apoptosis, such as Caspase 12, the mRNA decay activator protein Zfp36l1 or Leukemia Inhibitory Factor Receptor Alpha. Likewise, the over 200-fold increase in abundance of mmu-miR-6546-3p was associated with a reduced abundance of putative target mRNAs implicated in cytokine-mediated signaling, positive regulation of apoptotic process and regulation of gene expression, affecting, for example, the MADS box transcription enhancer factor 2, the transformation related protein 53 inducible nuclear protein 1, or the G protein-coupled receptor 35. Interestingly, both miRNAs are predicted to simultaneously target 32 mRNAs that showed reduced abundance in infected BMDMs, including Maturin Neural Progenitor Differentiation Regulator (Mturn), a regulator of NF-{kappa}B transcription factor activity. In conclusion, our approach provides novel insight into molecular mechanisms that may govern macrophage subversion and intracellular Leishmania survival. Our results shed new light on the complex relationship among miRNAs, macrophage gene expression and Leishmania infection, proposing regulatory feed-forward loops (FFLs) and feedback loops (FBLs) between miRNAs and TFs as a novel target of Leishmania immune subversion. These findings open exciting new avenues for the development of intervention strategies aimed at disrupting such crucial interactions, for example using an anti-miR (antagomir) approach against mmu-miR-686 and mmu-miR-6546-3p.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Gharsallah, C., Lecoeur, H., Varet, H., Legendre, R., Sismeiro, O., Coppee, J.-Y., Proux, C., Prina, E., Spaeth, G. F.. 2024-03-24. MAPPING CHANGES OF MIRNA-MRNA NETWORKS IN LEISHMANIA-INFECTED MACROPHAGES PREDICTS REGULATORY MIRNA-TF LOOPS AS NOVEL TARGETS OF PARASITE IMMUNE SUBVERSION. https://doi.org/10.1101/2024.03.24.586456

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Reverse Transcription Loop-Mediated Isothermal Amplification Combined with Lateral Flow Assay (RT-LAMP-LFA) for Rapid Detection of the 2026 Bundibugyo Virus (BDBV) Outbreak Strain

Making accurate diagnosis is a critical first step in patient management and control for emerging and re-emerging disease outbreaks. Bundibugyo virus (BDBV) is a filovirus that causes Ebola disease, and the 2026 outbreak highlights the need for rapid diagnostic approaches that can be deployed in settings with limited laboratory infrastructure. Here, we developed a reverse transcription loop-mediated isothermal amplification-lateral flow assay (RT-LAMP-LFA) for rapid detection of the 2026 BDBV outbreak strain. LAMP primers were designed based on the genome sequence of the 2026 outbreak strain, and the conservation of the primer binding sites among all available 2026 outbreak genomes was confirmed in silico. LAMP primers were evaluated for analytical specificity and sensitivity using in vitro-transcribed RNA (ivtRNA) from BDBV and other filoviruses, as well as RNA derived from arboviruses and mammalian cells. Amplification products were detected using a Chromatography-Printed Array Strip (C-PAS) lateral flow platform. The newly designed primers specifically detected the presence of BDBV RNA without nonspecific amplification of the other viral or cellular RNA samples tested. Consistent amplification was observed down to 103 copies per reaction. In addition, BDBV viral RNA was successfully amplified, and the amplification products were detected using C-PAS, with the total workflow being completed within 25 min. These findings demonstrate the analytical specificity and sensitivity of the developed RT-LAMP-LFA assay and its compatibility with rapid visual lateral flow detection, supporting its potential application as a point-of-care approach for BDBV detection.

microbiology↗

Divergent methane production and microbial community responses to carbon enrichment in freshwater wetland sediments

Methane (CH4) accumulation in wetland sediments reflects interactions among organic matter, sediment chemistry, and microbial communities. We combined depth-resolved field characterization across four wetland habitats in northern Israel with complementary incubations to examine methane accumulation and responses to labile-carbon enrichment. Sediment cores were characterized using Rock-Eval analysis, porewater chemistry, oxygen profiling at three sites, and mcrA amplicon sequencing. High CH4 concentrations occurred under contrasting conditions: Ein Nimfit (EN) contained approximately 12% total organic carbon and reached 2.1 mM CH4, whereas Ein Afek site EA2 contained approximately 5% carbon and accumulated 0.7-1.7 mM CH4. Both showed sulfate depletion, but EN exhibited pronounced sulfide accumulation, whereas EA2 showed greater dissolved iron and nutrient enrichment. Their classified methanogenic assemblages also differed. EA1 remained methane poor despite increasing carbon content with depth, while EA3 combined low carbon content and CH4 accumulation with detectable methanogens and lower methanogenic diversity. In a 36-day bottle experiments using sediments from two of the four wetland habitats, sucrose-amended EA3 exhibited a transient maximum of 18.8 mmol collected CH4 kg-1 wet sediment during Days 22-29, whereas EN reached its highest collected amount during Days 29-36. Methane proportions increased before the large output increase in EA3 but remained comparatively stable and high in EN. Soluble chemical oxygen demand trajectories and microbial community changes also differed. These findings identify distinct biogeochemical settings supporting methane accumulation and demonstrate methanogenic potential in low-CH4 sediment, emphasizing the complementary information provided by field profiles, microbial characterization, and exploratory enrichment experiments.

microbiology↗

The absence of microbiome in germ-free mice exacerbates the pathogenicity of mouse-adapted SARS-CoV-2 MA10

Germ-free mice, which are devoid of microbiota, provide a powerful system to define the contribution of the microbiome to host responses during infection. Severe COVID-19 outcomes are associated with multiple comorbidities that are themselves characterized by microbiome dysbiosis; however, the causal role of the microbiota in SARS-CoV-2 pathogenesis remains poorly understood. Here, we use germ-free mouse models to evaluate the impact of the microbiome on disease severity following infection with mouse-adapted SARS-CoV-2 MA10. Comparison with conventionally housed mice revealed that the absence of the microbiome markedly exacerbates SARS-CoV-2-induced disease in both C57BL/6 and Swiss Webster backgrounds. Germ-free mice exhibited greater weight loss, impaired lung function, worsened pulmonary pathology, and pronounced alterations in circulating cytokine and chemokine profiles compared with conventional controls. These findings show that resident microbiota limit SARS-CoV-2 pathogenicity and establish germ-free COVID-19 models as a powerful platform to identify protective microbial taxa and microbiota-based interventions to reduce severe disease.

microbiology↗