SynthesisFrontiers in cellular and infection microbiology2026
Integrative transcriptomics and hypothesis-driven transfer machine learning reveal conserved and species-specific host-parasite dynamics across
Synthesis in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Introduction: Leishmaniasis is a vector-borne parasitic disease caused by protozoa of the genus Methods: A systematic review was conducted following PRISMA guidelines to identify publicly available RNA-seq datasets of Leishmania-infected THP-1 macrophages. Raw sequencing data from eligible studies were reanalyzed using a unified bioinformatics pipeline incorporating standardized quality control, differential gene expression analysis, and batch-effect correction to enable robust cross-study integration. Comparative analyses were performed across infection stages and between Results: Integrated analysis revealed a pronounced early induction of pro-inflammatory and interferon-stimulated genes, including Discussion: This study provides an integrated transcriptomic framework for investigating host-parasite interactions in
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