Supporting materials for "Metabolome of Human gut microbiome is predictive of host dysbiosis".

Dataset type: Metagenomic, Software, Network-Analysis
Data released on September 14, 2015

Larsen PE; Dai Y (2015): Supporting materials for "Metabolome of Human gut microbiome is predictive of host dysbiosis". GigaScience Database.


Humans live in constant and vital symbiosis with a closely linked bacterial ecosystem, called the microbiome, which influences many aspects of human health. When this microbial ecosystem becomes disrupted, the health of the human host can suffer, a condition called dysbiosis. However, the community compositions of the human microbiomes also vary dramatically from individual to individual and over time, making it difficult to uncover the underlying mechanisms linking microbiome to human health. We propose that a microbiome’s interaction with its human host is not necessarily dependent upon the presence or absence of particular bacterial species, but instead is dependent on the community metabolome of microbiome, an emergent property of microbiome.
Using data from a previously published, longitudinal study of human gut microbiome populations, we extrapolated information about microbiome community enzyme profiles and metabolome models. Using machine learning techniques, we demonstrated that the microbiome’s aggregate predicted community enzyme function profiles and modeled metabolomes are more predictive of dysbiosis than either observed microbiome community composition or predicted enzyme function profiles.

Additional details

Read the peer-reviewed publication(s):

Larsen, P. E., & Dai, Y. (2015). Metabolome of human gut microbiome is predictive of host dysbiosis. GigaScience, 4(1). doi:10.1186/s13742-015-0084-3

Accessions (data not in GigaDB):

ENA: ERP006059

Sample IDTaxonomic IDCommon NameGenbank NameScientific NameSample Attributes
Donor A9606HumanhumanHomo sapiens Age:26
Geographic location (country and/or sea,region):US...
Body-mass index:19.4
Donor B9606HumanhumanHomo sapiens Age:36
Geographic location (country and/or sea,region):US...
Body-mass index:21.5
Displaying 1-2 of 2 Sample(s).

File NameSample IDData TypeFile FormatSizeRelease Date 
TextTEXT16.01 MB2015-08-31
TextTEXT9.98 MB2015-09-04
ScriptUNKNOWN1.97 KB2015-08-31
TextTEXT22.93 MB2015-08-31
TextTEXT309.21 KB2015-08-31
TextTEXT228.44 KB2015-08-31
OtherPDF547.65 KB2015-08-31
Otherzip14.03 MB2015-08-31
TextTEXT1.61 MB2015-09-04
TextTEXT14.25 MB2015-09-04
Displaying 1-10 of 12 File(s).
Funding body Awardee Award ID Comments
U.S. Department of Energy DE-AC02-06CH1135
Date Action
September 14, 2015 Dataset publish
September 15, 2015 Manuscript Link added : 10.1186/s13742-015-0084-3