Alexander P de Porto, Nicholas P Dylla, Matthew Stutz, Huaiying Lin, Maryam Khalid, Michael W Mullowney, Jessica Little, Amber Rose, David Moran, Mary McMillin, Victoria Burgo, Rita Smith, Che Woodson, Carolyn Metcalfe, Ramanujam Ramaswamy, Christopher Lehmann, Matthew Odenwald, Nadeem Bandealy, Jack Zhao, Marie Kim, Emerald Adler, Anitha Sundararajan, Ashley Sidebottom, John P Kress, Krysta S Wolfe, Eric G Pamer, Bhakti K Patel
{"title":"粪便代谢物分析确定30天死亡率增加的危重患者。","authors":"Alexander P de Porto, Nicholas P Dylla, Matthew Stutz, Huaiying Lin, Maryam Khalid, Michael W Mullowney, Jessica Little, Amber Rose, David Moran, Mary McMillin, Victoria Burgo, Rita Smith, Che Woodson, Carolyn Metcalfe, Ramanujam Ramaswamy, Christopher Lehmann, Matthew Odenwald, Nadeem Bandealy, Jack Zhao, Marie Kim, Emerald Adler, Anitha Sundararajan, Ashley Sidebottom, John P Kress, Krysta S Wolfe, Eric G Pamer, Bhakti K Patel","doi":"10.1126/sciadv.adt1466","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21609,"journal":{"name":"Science Advances","volume":"11 23","pages":"eadt1466"},"PeriodicalIF":12.5000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12136028/pdf/","citationCount":"0","resultStr":"{\"title\":\"Fecal metabolite profiling identifies critically ill patients with increased 30-day mortality.\",\"authors\":\"Alexander P de Porto, Nicholas P Dylla, Matthew Stutz, Huaiying Lin, Maryam Khalid, Michael W Mullowney, Jessica Little, Amber Rose, David Moran, Mary McMillin, Victoria Burgo, Rita Smith, Che Woodson, Carolyn Metcalfe, Ramanujam Ramaswamy, Christopher Lehmann, Matthew Odenwald, Nadeem Bandealy, Jack Zhao, Marie Kim, Emerald Adler, Anitha Sundararajan, Ashley Sidebottom, John P Kress, Krysta S Wolfe, Eric G Pamer, Bhakti K Patel\",\"doi\":\"10.1126/sciadv.adt1466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":21609,\"journal\":{\"name\":\"Science Advances\",\"volume\":\"11 23\",\"pages\":\"eadt1466\"},\"PeriodicalIF\":12.5000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12136028/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Advances\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1126/sciadv.adt1466\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Advances","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1126/sciadv.adt1466","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
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.
期刊介绍:
Science Advances, an open-access journal by AAAS, publishes impactful research in diverse scientific areas. It aims for fair, fast, and expert peer review, providing freely accessible research to readers. Led by distinguished scientists, the journal supports AAAS's mission by extending Science magazine's capacity to identify and promote significant advances. Evolving digital publishing technologies play a crucial role in advancing AAAS's global mission for science communication and benefitting humankind.