Evidence map›Paper›PMID 24925104›Full record

ArticleScientific reports2014

Clinical and non-targeted metabolomic profiling of homozygous carriers of Transcription Factor 7-like 2 variant rs7903146.

Robert Wagner, Jia Li, Erhan Kenar, Oliver Kohlbacher, Fausto Machicao, Hans-Ulrich Häring, Andreas Fritsche, Guowang Xu, Rainer Lehmann

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Robert Wagner1] Division of Endocrinology, Diabetology, Angiology and Nephrology, Department of Internal Medicine 4, University Hospital Tuebingen, Germany [2] Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Zentrum München at the University of Tuebingen, Tuebingen, Germany [3] German Center for Diabetes Research (DZD), Tübingen [4].
Jia Li1] CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China [2].
Erhan Kenar1] Applied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tuebingen, Sand 14, 72076 Tuebingen, Germany [2].
Oliver KohlbacherApplied Bioinformatics, Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tuebingen, Sand 14, 72076 Tuebingen, Germany.
Fausto Machicao1] Division of Endocrinology, Diabetology, Angiology and Nephrology, Department of Internal Medicine 4, University Hospital Tuebingen, Germany [2] Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Zentrum München at the University of Tuebingen, Tuebingen, Germany [3] German Center for Diabetes Research (DZD), Tübingen.
Hans-Ulrich Häring1] Division of Endocrinology, Diabetology, Angiology and Nephrology, Department of Internal Medicine 4, University Hospital Tuebingen, Germany [2] Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Zentrum München at the University of Tuebingen, Tuebingen, Germany [3] German Center for Diabetes Research (DZD), Tübingen.
Andreas Fritsche1] Division of Endocrinology, Diabetology, Angiology and Nephrology, Department of Internal Medicine 4, University Hospital Tuebingen, Germany [2] Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Zentrum München at the University of Tuebingen, Tuebingen, Germany [3] German Center for Diabetes Research (DZD), Tübingen.
Guowang XuCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Rainer Lehmann1] Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Zentrum München at the University of Tuebingen, Tuebingen, Germany [2] German Center for Diabetes Research (DZD), Tübingen [3] Division of Clinical Chemistry and Pathobiochemistry, Department of Internal Medicine 4, University Hospital Tuebingen, Tuebingen, Germany.
University of Tübingen · DEChinese Academy of Sciences · CNDalian Institute of Chemical Physics · CNGerman Center for Diabetes Research · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important role of the type 2 diabetes risk variant rs7903146 in TCF7L2 in metabolic actions of various tissues, in particular of the liver, has recently been demonstrated by functional animal studies. Accordingly, the TT diabetes risk allele may lead to currently unknown alterations in human. Our study revealed no differences in the kinetics of glucose, insulin, C-peptide and non-esterified fatty acids during an OGTT in homozygous participants from a German diabetes risk cohort (n = 1832) carrying either the rs7903146 CC (n = 15) or the TT (n = 15) genotype. However, beta-cell function was impaired for TT carriers. Covering more than 4000 metabolite ions the plasma metabolome did not reveal any differences between genotypes. Our study argues against a relevant impact of TCF7L2 rs7903146 on the systemic level in humans, but confirms the role in the pathogenesis of type 2 diabetes in humans as a mechanism impairing insulin secretion.

Indexed as

Polymorphism, Single NucleotideAdultBlood GlucoseC-PeptideDiabetes Mellitus, Type 2Fatty Acids, NonesterifiedFemaleGenetic Predisposition to DiseaseGenotypeGlucose Tolerance TestHomozygoteHumansInsulinInsulin-Secreting CellsInsulin SecretionMaleBlood GlucoseC-PeptideFatty Acids, NonesterifiedInsulinTCF7L2 protein, humanTranscription Factor 7-Like 2 Protein

Identifiers

PMID24925104
PMCPMC4055885
OpenAlexW2079828246

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.