Evidence map›Paper›PMID 25629159›Full record

ArticlePloS one2015

A neuron-specific deletion of the microRNA-processing enzyme DICER induces severe but transient obesity in mice.

Géraldine M Mang, Sylvain Pradervand, Ngoc-Hien Du, Alaaddin Bulak Arpat, Frédéric Preitner, Leonore Wigger, David Gatfield, Paul Franken

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Behavioural phenotypes of Dicer knockout in the mouse SCN.The European journal of neuroscience · 2024
    Article
  2. Review
  3. CorticalProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. MicroRNAs as Epigenetic Regulators of Obesity.Advances in experimental medicine and biology · 2024
    Review
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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 at 2 institutions in 1 country.

Géraldine M MangCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Sylvain PradervandGenomic Technologies Facility, Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland; Vital-IT, SIB-Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Ngoc-Hien DuCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Alaaddin Bulak ArpatCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland; Vital-IT, SIB-Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Frédéric PreitnerMouse Metabolic Evaluation Facility, Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Leonore WiggerGenomic Technologies Facility, Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland; Vital-IT, SIB-Swiss Institute of Bioinformatics, Lausanne, Switzerland.
David GatfieldCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Paul FrankenCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small, non-coding RNA molecules that regulate gene expression post-transcriptionally. MiRNAs are implicated in various biological processes associated with obesity, including adipocyte differentiation and lipid metabolism. We used a neuronal-specific inhibition of miRNA maturation in adult mice to study the consequences of miRNA loss on obesity development. Camk2a-CreERT2 (Cre+) and floxed Dicer (Dicerlox/lox) mice were crossed to generate tamoxifen-inducible conditional Dicer knockouts (cKO). Vehicle- and/or tamoxifen-injected Cre+;Dicerlox/lox and Cre+;Dicer+/+ served as controls. Four cohorts were used to a) measure body composition, b) follow food intake and body weight dynamics, c) evaluate basal metabolism and effects of food deprivation, and d) assess the brain transcriptome consequences of miRNA loss. cKO mice developed severe obesity and gained 18 g extra weight over the 5 weeks following tamoxifen injection, mainly due to increased fat mass. This phenotype was highly reproducible and observed in all 38 cKO mice recorded and in none of the controls, excluding possible effects of tamoxifen or the non-induced transgene. Development of obesity was concomitant with hyperphagia, increased food efficiency, and decreased activity. Surprisingly, after reaching maximum body weight, obese cKO mice spontaneously started losing weight as rapidly as it was gained. Weight loss was accompanied by lowered O2-consumption and respiratory-exchange ratio. Brain transcriptome analyses in obese mice identified several obesity-related pathways (e.g. leptin, somatostatin, and nemo-like kinase signaling), as well as genes involved in feeding and appetite (e.g. Pmch, Neurotensin) and in metabolism (e.g. Bmp4, Bmp7, Ptger1, Cox7a1). A gene cluster with anti-correlated expression in the cerebral cortex of post-obese compared to obese mice was enriched for synaptic plasticity pathways. While other studies have identified a role for miRNAs in obesity, we here present a unique model that allows for the study of processes involved in reversing obesity. Moreover, our study identified the cortex as a brain area important for body weight homeostasis.

Indexed as

Gene DeletionAnimalsBasal MetabolismBrainExonsFastingGene Knockdown TechniquesGenetic Association StudiesGenotypeHyperphagiaLocomotionMiceMice, KnockoutMicroRNAsNeuronsObesityMicroRNAsRibonuclease IIITamoxifen

Identifiers

PMID25629159
PMCPMC4309537
OpenAlexW2046181936

What OpenQuestion holds

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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.