Evidence map›Paper›PMID 28293018›Full record

ArticleInternational journal of obesity (2005)2017

Exploring the relationship between α-actinin-3 deficiency and obesity in mice and humans.

P J Houweling, Y D Berman, N Turner, K G R Quinlan, J T Seto, N Yang, M Lek, D G Macarthur, G Cooney, K N North

Open access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Association of theGenes · 2022
    Article
  3. ACTN3 Genotypes and Their Relationship with Muscle Mass and Function of Kosovan Adults.International journal of environmental research and public health · 2021
    Article
  4. Article
  5. Article
  6. Relationships between the Expression of theJournal of human kinetics · 2019
    Article
  7. Genes · 2019
    Article
  8. Frontiers in genetics · 2018
    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

10 authors at 7 institutions in 2 countries.

P J HouwelingInstitute for Neuroscience and Muscle Research (INMR), The Children's Hospital at Westmead, NSW, Australia.
Y D BermanInstitute for Neuroscience and Muscle Research (INMR), The Children's Hospital at Westmead, NSW, Australia.
N TurnerFaculty of Science, School of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales, Australia.
K G R QuinlanInstitute for Neuroscience and Muscle Research (INMR), The Children's Hospital at Westmead, NSW, Australia.
J T SetoDepartment of Pediatrics, The University of Melbourne, Victoria, Australia.
N YangInstitute for Neuroscience and Muscle Research (INMR), The Children's Hospital at Westmead, NSW, Australia.
M LekInstitute for Neuroscience and Muscle Research (INMR), The Children's Hospital at Westmead, NSW, Australia.
D G MacarthurInstitute for Neuroscience and Muscle Research (INMR), The Children's Hospital at Westmead, NSW, Australia.
G CooneyDiabetes and Metabolism Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
K N NorthInstitute for Neuroscience and Muscle Research (INMR), The Children's Hospital at Westmead, NSW, Australia.
Children's Hospital at Westmead · AUUniversity of Sydney · AUBroad Institute · USGarvan Institute of Medical Research · AUMurdoch Children's Research Institute · AUUniversity of Melbourne · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a worldwide health crisis, and the identification of genetic modifiers of weight gain is crucial in understanding this complex disorder. A common null polymorphism in the fast fiber-specific gene ACTN3 (R577X) is known to influence skeletal muscle function and metabolism. α-Actinin-3 deficiency occurs in an estimated 1.5 billion people worldwide, and results in reduced muscle strength and a shift towards a more efficient oxidative metabolism. The X-allele has undergone strong positive selection during recent human evolution, and in this study, we sought to determine whether ACTN3 genotype influences weight gain and obesity in mice and humans. An Actn3 KO mouse has been generated on two genetic backgrounds (129X1/SvJ and C57BL/6J) and fed a high-fat diet (HFD, 45% calories from fat). Anthropomorphic features (including body weight) were examined and show that Actn3 KO 129X1/SvJ mice gained less weight compared to WT. In addition, six independent human cohorts were genotyped for ACTN3 R577X (Rs1815739) and body mass index (BMI), waist-to-hip ratio-adjusted BMI (WHRadjBMI) and obesity-related traits were assessed. In humans, ACTN3 genotype alone does not contribute to alterations in BMI or obesity.

Indexed as

ActininAnimalsDiet, High-FatFemaleGene ExpressionGenotypeHumansMaleMiceMice, Inbred C57BLMuscle, SkeletalObesityRNA, MessengerWeight GainActininACTN3 protein, humanActn3 protein, mouseRNA, Messenger

Identifiers

PMID28293018
PMCPMC5504447
OpenAlexW2608061139

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.