<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Russell CD</submitter><funding>UK Research and Innovation/Medical Research Council (MRC)</funding><funding>Edinburgh Clinical Academic Track/Wellcome Trust PhD Training Fellowship</funding><funding>the SHIELD consortium "Optimising Innate Host Defence to Combat Antimicrobial Resistance"</funding><funding>the SHIELD consortium “Optimising Innate Host Defence to Combat Antimicrobial Resistance”</funding><funding>Wellcome Trust</funding><funding>Academy of Medical Sciences</funding><funding>UK Research and Innovation/Medical Research Council</funding><pagination>e290-e300</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12349957</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>232(2)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Staphylococcus aureus infections are frequently complicated by metastatic foci, recurrence, and death. Antimicrobial resistance and intracellular bacterial persistence limit the effectiveness of conventional antimicrobials. Host-directed therapies could improve outcomes, but the interpretive complexity of pathogen-host interactions impedes identification of critical responses suitable for therapeutic targeting. To address this, we performed a meta-analysis of genome-scale studies aiming to prioritize host responses to S aureus.&lt;h4>Methods&lt;/h4>Lists of genes associated with host responses to S aureus were retrieved from systematically identified genome-scale studies, then integrated using the meta-analysis by information content (MAIC) algorithm. This generated a single a</pubmed_abstract><journal>The Journal of infectious diseases</journal><pubmed_title>Genome-Scale Meta-analysis of Host Responses to Staphylococcus aureus Identifies Pathways for Host-Directed Therapeutic Targeting.</pubmed_title><pmcid>PMC12349957</pmcid><funding_grant_id>MR/NO2995X/1</funding_grant_id><funding_grant_id>SGL032\1020</funding_grant_id><funding_grant_id>211496/Z/18/Z</funding_grant_id><funding_grant_id>214178/Z/18/Z</funding_grant_id><funding_grant_id>MR/Y013131/1)</funding_grant_id><pubmed_authors>Baillie JK</pubmed_authors><pubmed_authors>Dockrell DH</pubmed_authors><pubmed_authors>Russell CD</pubmed_authors><pubmed_authors>Goeldner-Thompson S</pubmed_authors><pubmed_authors>Wang B</pubmed_authors><pubmed_authors>Millar JE</pubmed_authors><pubmed_authors>Clohisey Hendry S</pubmed_authors><pubmed_authors>Swets M</pubmed_authors><pubmed_authors>Fitzgerald JR</pubmed_authors><pubmed_authors>Smith E</pubmed_authors><pubmed_authors>Parkinson N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genome-Scale Meta-analysis of Host Responses to Staphylococcus aureus Identifies Pathways for Host-Directed Therapeutic Targeting.</name><description>&lt;h4>Background&lt;/h4>Staphylococcus aureus infections are frequently complicated by metastatic foci, recurrence, and death. Antimicrobial resistance and intracellular bacterial persistence limit the effectiveness of conventional antimicrobials. Host-directed therapies could improve outcomes, but the interpretive complexity of pathogen-host interactions impedes identification of critical responses suitable for therapeutic targeting. To address this, we performed a meta-analysis of genome-scale studies aiming to prioritize host responses to S aureus.&lt;h4>Methods&lt;/h4>Lists of genes associated with host responses to S aureus were retrieved from systematically identified genome-scale studies, then integrated using the meta-analysis by information content (MAIC) algorithm. This generated a single a</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-05-01T21:04:24.912Z</modification><creation>2026-04-07T17:16:08.849Z</creation></dates><accession>S-EPMC12349957</accession><cross_references><pubmed>40447280</pubmed><doi>10.1093/infdis/jiaf290</doi></cross_references></HashMap>