Evidence map›Paper›PMID 29777235›Full record

ArticleInternational journal of obesity (2005)2018

Response of skeletal muscle UCP2-expression during metabolic adaptation to caloric restriction.

Sascha Heinitz, Paolo Piaggi, Shanshan Yang, Susan Bonfiglio, Jason Steel, Jonathan Krakoff, Susanne B Votruba

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Metabolic Determinants of Weight Gain in Humans.Obesity (Silver Spring, Md.) · 2019
    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

7 authors at 2 institutions in 1 country.

Sascha HeinitzObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ, 85016, USA.ORCID http://orcid.org/0000-0002-5010-6183
Paolo PiaggiObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ, 85016, USA.ORCID http://orcid.org/0000-0003-2774-9161
Shanshan YangCenter for Personalized Diagnostics, The Biodesign Institute, Arizona State University, 1001S. McAllister Avenue, Tempe, AZ, 85287, USA.
Susan BonfiglioObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ, 85016, USA.
Jason SteelCenter for Personalized Diagnostics, The Biodesign Institute, Arizona State University, 1001S. McAllister Avenue, Tempe, AZ, 85287, USA.
Jonathan KrakoffObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ, 85016, USA.
Susanne B VotrubaObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ, 85016, USA. votrubas@niddk.nih.gov.
National Institute of Diabetes and Digestive and Kidney Diseases · USArizona State University · US

Funding

Factors which predict variance in weight changeZIADK069029 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAKOFF, JONATHAN · 2009 to 2025
$15.0M
6 · The paper itself

Abstract

BACKGROUND/

objectivesSpendthrift vs. thrifty individuals expend more energy and experience greater weight loss during caloric restriction (CR). Adaptive mechanisms in skeletal muscle, adipose tissue, and on hormone level modulate energy expenditure (EE) during weight loss. Metabolic mechanisms underlying the variability in EE during CR are unclear. The present study explored whether during long-term CR (i) gene expression changes in skeletal muscle and adipose tissue relate with the individual EE response and weight loss, and (ii) altered catecholamine and FGF21-concentrations are associated with measures of metabolic adaptation. SUBJECTS/

methodsIn a 10-week inpatient study, 24-h EE was measured before and after 6 weeks of 50% CR in 12 subjects using whole-room indirect calorimetry. Weight loss was assessed and repeated hormone measurements performed. Muscle and adipose tissue biopsies were taken before and after CR, and gene expression was assessed (RNA-Seq). Genes showing the most significant changes after CR were tested for association with EE and followed-up for further association with metabolic measures in a separate phenotyping study (n = 103).

resultsMuscle UCP2 showed the strongest change after CR (log

conclusionsChanges in muscle UCP2-expression reflect an inter-individual metabolic response to long-term CR and may influence EE and weight loss via modulation of substrate oxidation.

Indexed as

Caloric RestrictionAdultEnergy MetabolismFemaleHumansMaleMuscle, SkeletalUncoupling Protein 2Young AdultUCP2 protein, humanUncoupling Protein 2

Identifiers

PMID29777235
OpenAlexW2804650085

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.