Evidence map›Paper›PMID 26540285›Full record

ArticlePloS one2015

Dissecting Long-Term Glucose Metabolism Identifies New Susceptibility Period for Metabolic Dysfunction in Aged Mice.

Anuradha Chauhan, Heike Weiss, Franziska Koch, Saleh M Ibrahim, Julio Vera, Olaf Wolkenhauer, Markus Tiedge

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 2 countries.

Anuradha ChauhanDepartment of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany. Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa.
Heike WeissDepartment of Medical Biochemistry and Molecular Biology, University of Rostock, Rostock, Germany.
Franziska KochDepartment of Medical Biochemistry and Molecular Biology, University of Rostock, Rostock, Germany.
Saleh M IbrahimInstitute of Experimental Dermatology, University of Lübeck, Lübeck, Germany.
Julio VeraDepartment of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany. Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa.
Olaf WolkenhauerDepartment of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany. Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa.
Markus TiedgeDepartment of Medical Biochemistry and Molecular Biology, University of Rostock, Rostock, Germany.
University of Rostock · DEInstitute for Advanced Study · DEUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic disorders, like diabetes and obesity, are pathogenic outcomes of imbalance in glucose metabolism. Nutrient excess and mitochondrial imbalance are implicated in dysfunctional glucose metabolism with age. We used conplastic mouse strains with defined mitochondrial DNA (mtDNA) mutations on a common nuclear genomic background, and administered a high-fat diet up to 18 months of age. The conplastic mouse strain B6-mtFVB, with a mutation in the mt-Atp8 gene, conferred β-cell dysfunction and impaired glucose tolerance after high-fat diet. To our surprise, despite of this functional deficit, blood glucose levels adapted to perturbations with age. Blood glucose levels were particularly sensitive to perturbations at the early age of 3 to 6 months. Overall the dynamics consisted of a peak between 3-6 months followed by adaptation by 12 months of age. With the help of mathematical modeling we delineate how body weight, insulin and leptin regulate this non-linear blood glucose dynamics. The model predicted a second rise in glucose between 15 and 21 months, which could be experimentally confirmed as a secondary peak. We therefore hypothesize that these two peaks correspond to two sensitive periods of life, where perturbations to the basal metabolism can mark the system for vulnerability to pathologies at later age. Further mathematical modeling may perspectively allow the design of targeted periods for therapeutic interventions and could predict effects on weight loss and insulin levels under conditions of pre-diabetic obesity.

Indexed as

Adaptation, PhysiologicalAge FactorsAnimalsDiet, High-FatDisease SusceptibilityGlucoseGlucose Tolerance TestMetabolic DiseasesMiceMice, Inbred C57BLModels, BiologicalGlucose

Identifiers

PMID26540285
PMCPMC4634931
OpenAlexW2105403429

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.