Evidence map›Paper›PMID 33100325›Full record

ArticleInternational journal of obesity (2005)2021

Higher BMI, but not obesity-related genetic polymorphisms, correlates with lower structural connectivity of the reward network in a population-based study.

Frauke Beyer, Rui Zhang, Markus Scholz, Kerstin Wirkner, Markus Loeffler, Michael Stumvoll, Arno Villringer, A Veronica Witte

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Article in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Cohort Profile: The LIFE-Adult-Study.International journal of epidemiology · 2023
    Article
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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

8 authors.

Frauke BeyerDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany. fbeyer@cbs.mpg.de.ORCID http://orcid.org/0000-0001-5401-852X
Rui ZhangDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
Markus ScholzFaculty of Medicine, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, 04103, Leipzig, Germany.
Kerstin WirknerLeipzig Research Center for Civilization Diseases (LIFE), Leipzig University, 04103, Leipzig, Germany.
Markus LoefflerFaculty of Medicine, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, 04103, Leipzig, Germany.
Michael StumvollCollaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, Leipzig University, 04103, Leipzig, Germany.
Arno VillringerDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
A Veronica WitteDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is of complex origin, involving genetic and neurobehavioral factors. Genetic polymorphisms may increase the risk for developing obesity by modulating dopamine-dependent behaviors, such as reward processing. Yet, few studies have investigated the association of obesity, related genetic variants, and structural connectivity of the dopaminergic reward network.

methodsWe analyzed 347 participants (age range: 20-59 years, BMI range: 17-38 kg/m

resultsHigher BMI was significantly associated with lower connectivity strength for number of streamlines (β = -0.0025, 95%-C.I.: [-0.004, -0.0008], p = 0.0042), and, to lesser degree, fractional anisotropy (β = -0.0009, 95%-C.I. [-0.0016, -0.00008], p = 0.031), but not clustering coefficient. Strongest associations were found for left putamen, right accumbens, and right lateral orbitofrontal cortex. As expected, the polymorphism rs1558902 in FTO was associated with higher BMI (F = 6.9, p < 0.001). None of the genetic variants was associated with reward network structural connectivity.

conclusionsHere, we provide evidence that higher BMI correlates with lower reward network structural connectivity. This result is in line with previous findings of obesity-related decline in white matter microstructure. We did not observe an association of variants in FTO or near DRD2 receptor with reward network structural connectivity in this population-based cohort with a wide range of BMI and age. Future research should further investigate the link between genetics, obesity and fronto-striatal structural connectivity.

Indexed as

Body Mass IndexBrainNeural PathwaysObesityAdultDiffusion Magnetic Resonance ImagingHumansMiddle AgedPolymorphism, Single NucleotideRewardYoung Adult

Identifiers

PMID33100325
PMCPMC7906899

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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.