Evidence map›Paper›PMID 31584940›Full record

ArticlePLoS genetics2019

Manipulating mtDNA in vivo reprograms metabolism via novel response mechanisms.

Diana Bahhir, Cagri Yalgin, Liina Ots, Sampsa Järvinen, Jack George, Alba Naudí, Tatjana Krama, Indrikis Krams, Mairi Tamm, Ana Andjelković and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. A diabetes-like biochemical and behavioural phenotype ofProceedings. Biological sciences · 2023
    Article
  3. Article
  4. Article
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

17 authors at 6 institutions in 5 countries.

Diana BahhirInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Cagri YalginInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-0182-9729
Liina OtsInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Sampsa JärvinenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Jack GeorgeFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-0053-4171
Alba NaudíExperimental Medicine Department, University of Lleida-Institute for Research in Biomedicine of Lleida (UdL-IRBLLEIDA), Lleida, Spain.
Tatjana KramaInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.
Indrikis KramsInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.ORCID 0000-0001-7150-4108
Mairi TammInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.ORCID 0000-0002-7215-1823
Ana AndjelkovićFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0003-1031-5738
Eric DufourFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Jose M González de CózarFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-2487-8585
Mike GerardsFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Mikael ParhialaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-5189-2251
Reinald PamplonaExperimental Medicine Department, University of Lleida-Institute for Research in Biomedicine of Lleida (UdL-IRBLLEIDA), Lleida, Spain.ORCID 0000-0003-4337-6107
Howard T JacobsFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Priit JõersInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.ORCID 0000-0002-9248-1774
Tampere University · FIUniversity of Tartu · EEUniversitat de Lleida · ESDaugavpils University · LVEstonian University of Life Sciences · EEUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondria have been increasingly recognized as a central regulatory nexus for multiple metabolic pathways, in addition to ATP production via oxidative phosphorylation (OXPHOS). Here we show that inducing mitochondrial DNA (mtDNA) stress in Drosophila using a mitochondrially-targeted Type I restriction endonuclease (mtEcoBI) results in unexpected metabolic reprogramming in adult flies, distinct from effects on OXPHOS. Carbohydrate utilization was repressed, with catabolism shifted towards lipid oxidation, accompanied by elevated serine synthesis. Cleavage and translocation, the two modes of mtEcoBI action, repressed carbohydrate rmetabolism via two different mechanisms. DNA cleavage activity induced a type II diabetes-like phenotype involving deactivation of Akt kinase and inhibition of pyruvate dehydrogenase, whilst translocation decreased post-translational protein acetylation by cytonuclear depletion of acetyl-CoA (AcCoA). The associated decrease in the concentrations of ketogenic amino acids also produced downstream effects on physiology and behavior, attributable to decreased neurotransmitter levels. We thus provide evidence for novel signaling pathways connecting mtDNA to metabolism, distinct from its role in supporting OXPHOS.

Indexed as

Adenosine TriphosphateAnimalsCarbohydrate MetabolismCarbohydratesCellular ReprogrammingDiabetes Mellitus, Type 2DNA, MitochondrialDNA Restriction EnzymesDrosophila melanogasterHumansMetabolic Networks and PathwaysMitochondriaOxidative PhosphorylationOxidative StressAdenosine TriphosphateCarbohydratesDNA, MitochondrialDNA Restriction Enzymes

Identifiers

PMID31584940
PMCPMC6795474
OpenAlexW2977820384

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.