Respiratory　syncytial　virus　(RSV)　is　the　most　common　and　critical　viral　pathogen　causing　acute　lower　respiratory　tract　infection　in　infants　and　young　children　and　has　a　huge　disease　burden　worldwide.　At　present,　there　are　many　studies　on　RSV　transcriptomics　exploring　the　mechanism　of　disease,　but　different　studies　show　different　gene　expression　patterns　and　results　due　to　different　sample　collection　platforms　and　data　analysis　strategies.　A　meta-analysis　was　performed　on　eight　whole　blood　transcriptome　datasets　containing　436　children　with　acute　RSV　infection　and　241　healthy　children.　A　total　of　319　differentially　expressed　genes　(DEGs)　(P　value　＜0.0001)　were　identified　in　a　meta-analysis　using　a　random　effect　model.　Functional　enrichment　analysis　showed　that　several　pathways　related　to　immunity　were　significantly　altered,　including　the　＂chemokine　signaling　pathway＂,　＂natural　killer　cell　mediated　cytotoxicity＂　and　＂cytokine-cytokine　receptor　interaction＂.　Immune　cell　type　analysis　showed　that　the　proportion　of　neutrophils　in　most　RSV-infected　children　was　higher　than　that　in　healthy　children.　These　immune　characteristics　may　help　to　provide　new　insights　into　RSV　infection　in　children.