Fecal metabolite profiling identifies critically ill patients with increased 30-day mortality

Critically ill patients admitted to the medical intensive care unit (MICU) have reduced intestinal microbiota diversity and altered microbiome-associated metabolite concentrations. Metabolites produced by the gut microbiota have been associated with survival of patients receiving complex medical treatments and thus might represent a treatable trait to improve clinical outcomes. We prospectively collected fecal specimens, defined microbiome compositions by shotgun metagenomic sequencing, and quantified microbiota-derived fecal metabolites by mass spectrometry from 196 critically ill patients admitted to the MICU for non-COVID-19 respiratory failure or shock to correlate microbiota features and metabolites with 30-day mortality. Microbiota compositions of the first fecal sample after MICU admission did not independently associate with 30-day mortality. We developed a metabolic dysbiosis score (MDS) that uses fecal concentrations of 13 microbiota-derived metabolites, which predicted 30-day mortality independent of known confounders. The MDS complements existing tools to identify patients at high risk of mortality by incorporating potentially modifiable, microbiome-related, independent contributors to host resilience.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-06-06
DOI
https://doi.org/10.1126/sciadv.adt1466
Citations
3
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fecal metabolite profiling identifies critically ill patients with increased 30-day mortality

Matthew A. Odenwald, Michael W. Mullowney, Anitha Sundararajan, Mary McMillin et al.
3 citations
Science Advances
Gut microbiota and health
2.42
article

Fecal metabolite profiling identifies critically ill patients with increased 30-day mortality

Matthew A. Odenwald, Michael W. Mullowney, Anitha Sundararajan, Mary McMillin, Marie Kim, Bhakti K. Patel, Jessica Little, K.S. Wolfe, M.R. Stutz, Amber R. Rose, Eric G. Pamer, Victoria Burgo, Che Woodson, Nicholas P. Dylla, Alexander P. de Porto, Christopher Lehmann, Ashley M. Sidebottom, Huaiying Lin, Carolyn Metcalfe, Rita C. Smith, J.P. Kress, Ramanujam Ramaswamy, D.M. Moran, Nadeem Bandealy, Maryam Khalid, Jiong Zhao, Emerald Adler
article en
3 citations

Abstract

Critically ill patients admitted to the medical intensive care unit (MICU) have reduced intestinal microbiota diversity and altered microbiome-associated metabolite concentrations. Metabolites produced by the gut microbiota have been associated with survival of patients receiving complex medical treatments and thus might represent a treatable trait to improve clinical outcomes. We prospectively collected fecal specimens, defined microbiome compositions by shotgun metagenomic sequencing, and quantified microbiota-derived fecal metabolites by mass spectrometry from 196 critically ill patients admitted to the MICU for non-COVID-19 respiratory failure or shock to correlate microbiota features and metabolites with 30-day mortality. Microbiota compositions of the first fecal sample after MICU admission did not independently associate with 30-day mortality. We developed a metabolic dysbiosis score (MDS) that uses fecal concentrations of 13 microbiota-derived metabolites, which predicted 30-day mortality independent of known confounders. The MDS complements existing tools to identify patients at high risk of mortality by incorporating potentially modifiable, microbiome-related, independent contributors to host resilience.

Science AdvancesVol. 11(23)
Northern Illinois University (US), Chicago Department of Public Health (US), Purdue University West Lafayette (US), John H. Stroger, Jr. Hospital of Cook County (US), University of Illinois Chicago (US), University of Chicago (US), New York Institute of Technology (US), Ecolab (United States) (US), Tempus Labs (United States) (US), Amsterdam University of Applied Sciences (NL), University of Amsterdam (NL)
Good health and well-being
Openalex Percentile: Top 11%
Gut microbiota and health
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.