Evidence map›Paper›PMID 28764956›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2017

Microbiome and metabolome data integration provides insight into health and disease.

Michael Shaffer, Abigail J S Armstrong, Vanessa V Phelan, Nichole Reisdorph, Catherine A Lozupone

Open access · greenAbstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. From gut to mouth: salivary signatures of carcinogenic microbiota.Frontiers in cellular and infection microbiology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Sex-specific association between gutFrontiers in microbiology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Biomolecular Actions by Intestinal Endotoxemia in Metabolic Syndrome.International journal of molecular sciences · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Microbial metabolites: cause or consequence in gastrointestinal disease?American journal of physiology. Gastrointestinal and liver physiology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Michael ShafferDepartment of Medicine, University of Colorado Denver, Aurora, Colo; Computational Bioscience Program, University of Colorado Denver, Aurora, Colo.
Abigail J S ArmstrongDepartment of Medicine, University of Colorado Denver, Aurora, Colo; Department of Immunology and Microbiology, University of Colorado Denver, Aurora, Colo.
Vanessa V PhelanSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Denver, Aurora, Colo.
Nichole ReisdorphSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Denver, Aurora, Colo.
Catherine A LozuponeDepartment of Medicine, University of Colorado Denver, Aurora, Colo. Electronic address: catherine.lozupone@ucdenver.edu.
University of Colorado Denver · USUniversity of Montana · US

Funding

Factors mediating gut microbiota dysbiosis and metabolic disease in HIV patientsR01DK104047 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LOZUPONE, CATHERINE, PALMER, BRENT E · 2014 to 2018
$2.1M
NIDDK NIH HHS R01 DK104047
6 · The paper itself

Abstract

For much of our history, the most basic information about the microbial world has evaded characterization. Next-generation sequencing has led to a rapid increase in understanding of the structure and function of host-associated microbial communities in diverse diseases ranging from obesity to autism. Through experimental systems such as gnotobiotic mice only colonized with known microbes, a causal relationship between microbial communities and disease phenotypes has been supported. Now, microbiome research must move beyond correlations and general demonstration of causality to develop mechanistic understandings of microbial influence, including through their metabolic activities. Similar to the microbiome field, advances in technologies for cataloguing small molecules have broadened our understanding of the metabolites that populate our bodies. Integration of microbial and metabolomics data paired with experimental validation has promise for identifying microbial influence on host physiology through production, modification, or degradation of bioactive metabolites. Realization of microbial metabolic activities that affect health is hampered by gaps in our understanding of (1) biological properties of microbes and metabolites, (2) which microbial enzymes/pathways produce which metabolites, and (3) the effects of metabolites on hosts. Capitalizing on known mechanistic relationships and filling gaps in our understanding has the potential to enable translational microbiome research across disease contexts.

Indexed as

DiseaseHealthMetabolomeMicrobiotaAnimalsHost-Pathogen InteractionsHumansMolecular Targeted Therapy

Identifiers

PMID28764956
PMCPMC5659916
OpenAlexW2735904471

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.