Evidence map›Paper›PMID 26058503›Full record

ArticleDiabetologia2015

Metabolite profiling in plasma and tissues of ob/ob and db/db mice identifies novel markers of obesity and type 2 diabetes.

Pieter Giesbertz, Inken Padberg, Dietrich Rein, Josef Ecker, Anja S Höfle, Britta Spanier, Hannelore Daniel

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

82 citing papers in PubMed, 159 citations in OpenAlex.

  1. Gut microbes · 2026
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  2. Experimental models in diabetes research.Laboratory animal research · 2026
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  11. Branched-chain amino acid metabolism: Pathophysiological mechanism and therapeutic intervention in metabolic diseases.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  19. Impact of a High-Fat Diet at a Young Age on Wound Healing in Mice.International journal of molecular sciences · 2023
    Article
  20. Review

22 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Pieter GiesbertzDepartment of Nutritional Physiology, Technische Universität München, Gregor-Mendel-Str. 2, 85350, Freising, Germany, pieter.giesbertz@tum.de.
Inken Padberg
Dietrich Rein
Josef Ecker
Anja S Höfle
Britta Spanier
Hannelore Daniel
Leibniz-Institute for Food Systems Biology at the Technical University of Munich · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisMetabolomics approaches in humans have identified around 40 plasma metabolites associated with insulin resistance (IR) and type 2 diabetes, which often coincide with those for obesity. We aimed to separate diabetes-associated from obesity-associated metabolite alterations in plasma and study the impact of metabolically important tissues on plasma metabolite concentrations.

methodsTwo obese mouse models were studied; one exclusively with obesity (ob/ob) and another with type 2 diabetes (db/db). Both models have impaired leptin signalling as a cause for obesity, but the different genetic backgrounds determine the susceptibility to diabetes. In these mice, we profiled plasma, liver, skeletal muscle and adipose tissue via semi-quantitative GC-MS and quantitative liquid chromatography (LC)-MS/MS for a wide range of metabolites.

resultsMetabolite profiling identified 24 metabolites specifically associated with diabetes but not with obesity. Among these are known markers such as 1,5-anhydro-D-sorbitol, 3-hydroxybutyrate and the recently reported marker glyoxylate. New metabolites in the diabetic model were lysine, O-phosphotyrosine and branched-chain fatty acids. We also identified 33 metabolites that were similarly altered in both models, represented by branched-chain amino acids (BCAA) as well as glycine, serine, trans-4-hydroxyproline, and various lipid species and derivatives. Correlation analyses showed stronger associations for plasma amino acids with adipose tissue metabolites in db/db mice compared with ob/ob mice, suggesting a prominent contribution of adipose tissue to changes in plasma in a diabetic state. CONCLUSIONS/

interpretationBy studying mice with metabolite signatures that resemble obesity and diabetes in humans, we have found new metabolite entities for validation in appropriate human cohorts and revealed their possible tissue of origin.

Indexed as

Metabolome3-Hydroxybutyric AcidAdipose TissueAnimalsDiabetes Mellitus, Type 2Fatty AcidsGas Chromatography-Mass SpectrometryGene Expression RegulationGlyoxylatesInsulin ResistanceLeptinLiverLysineMaleMetabolomicsMice3-Hydroxybutyric AcidFatty AcidsGlyoxylatesglyoxylic acidLeptinLysinePhosphotyrosineSorbitol

Identifiers

PMID26058503
OpenAlexW1481370184

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Registered trials

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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.