Evidence map›Paper›PMID 34519522›Full record

ArticlemSystems2021

Bridging the Gap between Analytical and Microbial Sciences in Microbiome Research.

Robert A Quinn, Kehau A Hagiwara, Ken Liu, Maryam Goudarzi, Wimal Pathmasiri, Lloyd W Sumner, Thomas O Metz

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Another renaissance for bile acid gastrointestinal microbiology.Nature reviews. Gastroenterology & hepatology · 2024
    Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 7 institutions in 1 country.

Robert A QuinnDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-9829-3256
Kehau A HagiwaraChemical Sciences Division, National Institute of Standards and Technology, Hollings Marine Laboratory, Charleston, South Carolina, USA.
Ken LiuClinical Biomarkers Laboratory, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-9736-5828
Maryam GoudarziCleveland Clinic Lerner Research Institute, Cleveland, Ohio, USA.ORCID 0000-0003-4961-3935
Wimal PathmasiriNutrition Research Institute, University of North Carolina at Chapel Hillgrid.10698.36, Kannapolis, North Carolina, USA.
Lloyd W SumnerDepartment of Biochemistry, Bond Life Sciences Center, MU Metabolomics Center, University of Missouri,grid.134936.a Columbia, Missouri, USA.ORCID 0000-0002-4086-663X
Thomas O MetzBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0001-6049-3968
Cleveland Clinic Lerner College of Medicine · USEmory University · USMichigan State University · USNational Institute of Standards and Technology · USPacific Northwest National Laboratory · USUniversity of Missouri · USUniversity of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

Metabolites from the microbiome influence human, animal, and environmental health, but the diversity and functional roles of these compounds have only begun to be elucidated. Comprehensively characterizing these molecules are significant challenges, as it requires expertise in analytical methods, such as mass spectrometry and nuclear magnetic resonance spectroscopy, skills that not many traditional microbiologists or microbial ecologists possess. This creates a gap between microbiome scientists that want to understand the role of microbial metabolites in microbiome systems and the skills required to generate and interpret complex metabolomics data sets. To bridge this gap, microbiome scientists should engage analytical chemists to best understand the underlying chemical principles of the data. Conversely, analytical scientists are encouraged to engage with microbiome scientists to better understand the biological questions being asked with metabolomics and to best communicate its intricacies. Better communication across the chemistry/biology disciplines will further reveal the "dark matter" within microbiomes that maintain healthy humans and environments.

Indexed as

analyticalmass spectrometrymetabolomemicrobiome

Identifiers

PMID34519522
PMCPMC8547465
OpenAlexW3200252423

What OpenQuestion holds

Textmetadata
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.