<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11(1)</volume><submitter>Sharma N</submitter><funding>New Frontiers in Research Fund</funding><funding>Sepsis Canada Operating Grant</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>Preclinical sepsis models have been criticized for their inability to recapitulate human sepsis and suffer from methodological shortcomings that limit external validity and reproducibility. The National Preclinical Sepsis Platform (NPSP) is a consortium of basic science researchers, veterinarians, and stakeholders in Canada undertaking standardized multi-laboratory sepsis research to increase the efficacy and efficiency of bench-to-bedside translation. In this study, we aimed to develop and characterize a 72-h fecal-induced peritonitis (FIP) model of murine sepsis conducted in two independent laboratories. The experimental protocol was optimized by sequentially modifying dose of fecal slurry and timing of antibiotics in an iterative fashion, and then repeating the experi</pubmed_abstract><journal>Intensive care medicine experimental</journal><pagination>45</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10352196</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Development and characterization of a fecal-induced peritonitis model of murine sepsis: results from a multi-laboratory study and iterative modification of experimental conditions.</pubmed_title><pmcid>PMC10352196</pmcid><pubmed_authors>Macala KF</pubmed_authors><pubmed_authors>Cani E</pubmed_authors><pubmed_authors>Chwastek D</pubmed_authors><pubmed_authors>Engelberts D</pubmed_authors><pubmed_authors>Dwivedi DJ</pubmed_authors><pubmed_authors>Fergusson DA</pubmed_authors><pubmed_authors>Eng M</pubmed_authors><pubmed_authors>Sontag D</pubmed_authors><pubmed_authors>Cepinskas G</pubmed_authors><pubmed_authors>Arora J</pubmed_authors><pubmed_authors>Gill SE</pubmed_authors><pubmed_authors>Yu IL</pubmed_authors><pubmed_authors>McDonald B</pubmed_authors><pubmed_authors>Bourque SL</pubmed_authors><pubmed_authors>Sharma N</pubmed_authors><pubmed_authors>Lalu MM</pubmed_authors><pubmed_authors>Pape C</pubmed_authors><pubmed_authors>National Preclinical Sepsis Platform, Sepsis Canada</pubmed_authors><pubmed_authors>Medeiros SK</pubmed_authors><pubmed_authors>Panahi S</pubmed_authors><pubmed_authors>Liaw PC</pubmed_authors><pubmed_authors>Kuhar E</pubmed_authors><pubmed_authors>Mendelson AA</pubmed_authors><pubmed_authors>Jahandideh F</pubmed_authors><pubmed_authors>Schlechte J</pubmed_authors><pubmed_authors>Sunohara-Neilson J</pubmed_authors><pubmed_authors>Fox-Robichaud AE</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development and characterization of a fecal-induced peritonitis model of murine sepsis: results from a multi-laboratory study and iterative modification of experimental conditions.</name><description>&lt;h4>Background&lt;/h4>Preclinical sepsis models have been criticized for their inability to recapitulate human sepsis and suffer from methodological shortcomings that limit external validity and reproducibility. The National Preclinical Sepsis Platform (NPSP) is a consortium of basic science researchers, veterinarians, and stakeholders in Canada undertaking standardized multi-laboratory sepsis research to increase the efficacy and efficiency of bench-to-bedside translation. In this study, we aimed to develop and characterize a 72-h fecal-induced peritonitis (FIP) model of murine sepsis conducted in two independent laboratories. The experimental protocol was optimized by sequentially modifying dose of fecal slurry and timing of antibiotics in an iterative fashion, and then repeating the experi</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jul</publication><modification>2026-06-05T07:04:20.191Z</modification><creation>2025-02-19T01:58:10.122Z</creation></dates><accession>S-EPMC10352196</accession><cross_references><pubmed>37460911</pubmed><doi>10.1186/s40635-023-00533-3</doi></cross_references></HashMap>