The Gut Microbiome and Xenobiotics: Identifying Knowledge Gaps
Autor: | Vicki Sutherland, Sangeeta Khare, Steven Foley, Xue Liang, Connie S. Chen, Alexander V. Alekseyenko, José E. Manautou, Howard Young, Frank Burns, Alan Wilson, Charlene A. McQueen, Sam Forry, Donna L. Mendrick, Donald J. Tweedie, Carl Cerniglia, Rod Dietert, Donna Gulezian |
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Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Microbiota Microbial composition Research needs Disease Computational biology Toxicology Gut microbiome Gastrointestinal Microbiome Xenobiotics 03 medical and health sciences chemistry.chemical_compound Human health 030104 developmental biology 0302 clinical medicine chemistry Forum Article Humans Intestinal bacteria Microbiome Xenobiotic 030217 neurology & neurosurgery Biomarkers |
Zdroj: | Toxicol Sci |
ISSN: | 1096-0929 |
Popis: | There is an increasing awareness that the gut microbiome plays a critical role in human health and disease, but mechanistic insights are often lacking. In June 2018, the Health and Environmental Sciences Institute (HESI) held a workshop, “The Gut Microbiome: Markers of Human Health, Drug Efficacy and Xenobiotic Toxicity” (https://hesiglobal.org/event/the-gut-microbiome-workshop) to identify data gaps in determining how gut microbiome alterations may affect human health. Speakers and stakeholders from academia, government, and industry addressed multiple topics including the current science on the gut microbiome, endogenous and exogenous metabolites, biomarkers, and model systems. The workshop presentations and breakout group discussions formed the basis for identifying data gaps and research needs. Two critical issues that emerged were defining the microbial composition and function related to health and developing standards for models, methods and analysis in order to increase the ability to compare and replicate studies. A series of key recommendations were formulated to focus efforts to further understand host-microbiome interactions and the consequences of exposure to xenobiotics as well as identifying biomarkers of microbiome-associated disease and toxicity. |
Databáze: | OpenAIRE |
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