Blood metabolome predicts gut microbiome α-diversity in humans. 2019

Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
Institute for Systems Biology, Seattle, WA, USA.

Depleted gut microbiome α-diversity is associated with several human diseases, but the extent to which this is reflected in the host molecular phenotype is poorly understood. We attempted to predict gut microbiome α-diversity from ~1,000 blood analytes (laboratory tests, proteomics and metabolomics) in a cohort enrolled in a consumer wellness program (N = 399). Although 77 standard clinical laboratory tests and 263 plasma proteins could not accurately predict gut α-diversity, we found that 45% of the variance in α-diversity was explained by a subset of 40 plasma metabolites (13 of the 40 of microbial origin). The prediction capacity of these 40 metabolites was confirmed in a separate validation cohort (N = 540) and across disease states, showing that our findings are robust. Several of the metabolite biomarkers that are reported here are linked with cardiovascular disease, diabetes and kidney function. Associations between host metabolites and gut microbiome α-diversity were modified in those with extreme obesity (body mass index ≥ 35), suggesting metabolic perturbation. The ability of the blood metabolome to predict gut microbiome α-diversity could pave the way to the development of clinical tests for monitoring gut microbial health.

UI MeSH Term Description Entries
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000069196 Gastrointestinal Microbiome All of the microbial organisms that naturally exist within the GASTROINTESTINAL TRACT. Enteric Bacteria,Gastric Microbiome,Gastrointestinal Flora,Gastrointestinal Microbial Community,Gastrointestinal Microbiota,Gastrointestinal Microflora,Gut Flora,Gut Microbiome,Gut Microbiota,Gut Microflora,Intestinal Flora,Intestinal Microbiome,Intestinal Microbiota,Intestinal Microflora,Bacteria, Enteric,Flora, Gastrointestinal,Flora, Gut,Flora, Intestinal,Gastric Microbiomes,Gastrointestinal Microbial Communities,Gastrointestinal Microbiomes,Gastrointestinal Microbiotas,Gut Microbiomes,Gut Microbiotas,Intestinal Microbiomes,Intestinal Microbiotas,Microbial Community, Gastrointestinal,Microbiome, Gastric,Microbiome, Gastrointestinal,Microbiome, Gut,Microbiome, Intestinal,Microbiota, Gastrointestinal,Microbiota, Gut,Microbiota, Intestinal,Microflora, Gastrointestinal,Microflora, Gut,Microflora, Intestinal
D001419 Bacteria One of the three domains of life (the others being Eukarya and ARCHAEA), also called Eubacteria. They are unicellular prokaryotic microorganisms which generally possess rigid cell walls, multiply by cell division, and exhibit three principal forms: round or coccal, rodlike or bacillary, and spiral or spirochetal. Bacteria can be classified by their response to OXYGEN: aerobic, anaerobic, or facultatively anaerobic; by the mode by which they obtain their energy: chemotrophy (via chemical reaction) or PHOTOTROPHY (via light reaction); for chemotrophs by their source of chemical energy: CHEMOLITHOTROPHY (from inorganic compounds) or chemoorganotrophy (from organic compounds); and by their source for CARBON; NITROGEN; etc.; HETEROTROPHY (from organic sources) or AUTOTROPHY (from CARBON DIOXIDE). They can also be classified by whether or not they stain (based on the structure of their CELL WALLS) with CRYSTAL VIOLET dye: gram-negative or gram-positive. Eubacteria
D012336 RNA, Ribosomal, 16S Constituent of 30S subunit prokaryotic ribosomes containing 1600 nucleotides and 21 proteins. 16S rRNA is involved in initiation of polypeptide synthesis. 16S Ribosomal RNA,16S rRNA,RNA, 16S Ribosomal,Ribosomal RNA, 16S,rRNA, 16S
D014644 Genetic Variation Genotypic differences observed among individuals in a population. Genetic Diversity,Variation, Genetic,Diversity, Genetic,Diversities, Genetic,Genetic Diversities,Genetic Variations,Variations, Genetic
D015331 Cohort Studies Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics. Birth Cohort Studies,Birth Cohort Study,Closed Cohort Studies,Cohort Analysis,Concurrent Studies,Historical Cohort Studies,Incidence Studies,Analysis, Cohort,Cohort Studies, Closed,Cohort Studies, Historical,Studies, Closed Cohort,Studies, Concurrent,Studies, Historical Cohort,Analyses, Cohort,Closed Cohort Study,Cohort Analyses,Cohort Studies, Birth,Cohort Study,Cohort Study, Birth,Cohort Study, Closed,Cohort Study, Historical,Concurrent Study,Historical Cohort Study,Incidence Study,Studies, Birth Cohort,Studies, Cohort,Studies, Incidence,Study, Birth Cohort,Study, Closed Cohort,Study, Cohort,Study, Concurrent,Study, Historical Cohort,Study, Incidence
D055432 Metabolomics The systematic identification and quantitation of all the metabolic products of a cell, tissue, organ, or organism under varying conditions. The METABOLOME of a cell or organism is a dynamic collection of metabolites which represent its net response to current conditions. Metabonomics,Metabolomic,Metabonomic
D055442 Metabolome The dynamic collection of metabolites which represent a cell's or organism's net metabolic response to current conditions. Metabolic Profile,Metabolic Profiles,Metabolomes,Profile, Metabolic,Profiles, Metabolic

Related Publications

Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
January 2019, PloS one,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
October 2017, Allergology international : official journal of the Japanese Society of Allergology,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
January 2023, Frontiers in microbiology,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
September 2017, Nature reviews. Endocrinology,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
February 2024, Microbiome,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
January 2019, Frontiers in microbiology,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
January 2014, Nestle Nutrition Institute workshop series,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
January 2023, Frontiers in microbiology,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
October 2019, Journal of industrial microbiology & biotechnology,
Tomasz Wilmanski, and Noa Rappaport, and John C Earls, and Andrew T Magis, and Ohad Manor, and Jennifer Lovejoy, and Gilbert S Omenn, and Leroy Hood, and Sean M Gibbons, and Nathan D Price
June 2019, Cell host & microbe,
Copied contents to your clipboard!