Evidence map›Paper›PMID 29409712›Full record

ArticleTrends in endocrinology and metabolism: TEM2018

Squeezing Flux Out of Fat.

Alba Gonzalez-Franquesa, Mary-Elizabeth Patti

Abstract readComment
In one paragraph

Article in Trends in endocrinology and metabolism: TEM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Alba Gonzalez-FranquesaSection for Integrative Physiology, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
Mary-Elizabeth PattiResearch Division, Joslin Diabetes Center, and Harvard Medical School, Boston, MA, USA. Electronic address: MaryElizabeth.Patti@joslin.harvard.edu.

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Paternal Contributions to Metabolic Disease in Offspring: Environment, Epigenetics, and SpermR01DK106193 · NIDDK · JOSLIN DIABETES CENTER · PI PATTI, MARY E · 2016 to 2024
$4.3M
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK106193
6 · The paper itself

Abstract

Merging transcriptomics or metabolomics data remains insufficient for metabolic flux estimation. Ramirez et al. integrate a genome-scale metabolic model with extracellular flux data to predict and validate metabolic differences between white and brown adipose tissue. This method allows both metabolic phenotyping and the identification of potential therapeutic targets for obesity.

Indexed as

Adipocytes, WhiteAdipose Tissue, BrownHumansMetabolomicsObesity

Identifiers

PMID29409712
PMCPMC6366633

What OpenQuestion holds

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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.