Evidence map›Paper›PMID 29621222›Full record

ArticleNature biotechnology2018

Metabolomics activity screening for identifying metabolites that modulate phenotype.

Carlos Guijas, J Rafael Montenegro-Burke, Benedikt Warth, Mary E Spilker, Gary Siuzdak

Abstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 247 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
247citing papers in PubMed, 6 pooled it
13.5field-weighted citation impact, top 1% 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

247 citing papers in PubMed, 6 syntheses or guidelines pooled it, 490 citations in OpenAlex.

  1. A metabolomic signatures in hyperuricemia: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2026
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187 more citing papers are in PubMed but not listed here.

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 1 institution in 2 countries.

Carlos GuijasThe Scripps Research Institute, Scripps Center for Metabolomics and Mass Spectrometry, La Jolla, California, USA.ORCID 0000-0001-7993-3388
J Rafael Montenegro-BurkeThe Scripps Research Institute, Scripps Center for Metabolomics and Mass Spectrometry, La Jolla, California, USA.ORCID 0000-0001-7787-3414
Benedikt WarthThe Scripps Research Institute, Scripps Center for Metabolomics and Mass Spectrometry, La Jolla, California, USA.
Mary E SpilkerThe Scripps Research Institute, Scripps Center for Metabolomics and Mass Spectrometry, La Jolla, California, USA.
Gary SiuzdakThe Scripps Research Institute, Scripps Center for Metabolomics and Mass Spectrometry, La Jolla, California, USA.ORCID 0000-0002-4749-0014
Scripps Research Institute · US

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
Pharmacokinetics and Drug-Drug InteractionsP01DA028555 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI ALNOUTI, YAZEN · 2010 to 2019
$16.8M
Proteomic Strategies for AIDS and Drug Abuse - HIV and METH CNS SynergyP01DA026146 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2008 to 2010
$2.9M
XCMS Metabolomic Data TechnologyR01GM114368 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SIUZDAK, GARY E · 2015 to 2018
$1.5M
NIDA NIH HHS P01 DA026146NIDA NIH HHS P01 DA028555NIGMS NIH HHS R01 GM114368NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

Metabolomics, in which small-molecule metabolites (the metabolome) are identified and quantified, is broadly acknowledged to be the omics discipline that is closest to the phenotype. Although appreciated for its role in biomarker discovery programs, metabolomics can also be used to identify metabolites that could alter a cell's or an organism's phenotype. Metabolomics activity screening (MAS) as described here integrates metabolomics data with metabolic pathways and systems biology information, including proteomics and transcriptomics data, to produce a set of endogenous metabolites that can be tested for functionality in altering phenotypes. A growing literature reports the use of metabolites to modulate diverse processes, such as stem cell differentiation, oligodendrocyte maturation, insulin signaling, T-cell survival and macrophage immune responses. This opens up the possibility of identifying and applying metabolites to affect phenotypes. Unlike genes or proteins, metabolites are often readily available, which means that MAS is broadly amenable to high-throughput screening of virtually any biological system.

Indexed as

Systems BiologyHumansMetabolic Networks and PathwaysMetabolomeMetabolomicsPhenotypeProteomics

Identifiers

PMID29621222
PMCPMC5937131
OpenAlexW2795425364

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.