Evidence map›Paper›PMID 28253303›Full record

ArticlePloS one2017

Urinary metabolomics reveals glycemic and coffee associated signatures of thyroid function in two population-based cohorts.

Nele Friedrich, Maik Pietzner, Claire Cannet, Betina H Thuesen, Torben Hansen, Henri Wallaschofski, Niels Grarup, Tea Skaaby, Kathrin Budde, Oluf Pedersen and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 21 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

12 authors at 5 institutions in 2 countries.

Nele FriedrichResearch Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark.
Maik PietznerInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Claire CannetBruker BioSpin, Rheinstetten, Germany.
Betina H ThuesenResearch Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark.
Torben HansenSection of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
Henri WallaschofskiInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Niels GrarupSection of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
Tea SkaabyResearch Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark.
Kathrin BuddeInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Oluf PedersenSection of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Allan LinnebergResearch Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark.
Universitätsmedizin Greifswald · DECapital Region of Denmark · DKUniversity of Copenhagen · DKBruker (Germany) · DERigshospitalet · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriiodothyronine (T3) and thyroxine (T4) as the main secretion products of the thyroid affect nearly every human tissue and are involved in a broad range of processes ranging from energy expenditure and lipid metabolism to glucose homeostasis. Metabolomics studies outside the focus of clinical manifest thyroid diseases are rare. The aim of the present investigation was to analyze the cross-sectional and longitudinal associations of urinary metabolites with serum free T4 (FT4) and thyroid-stimulating hormone (TSH).

methodsUrine Metabolites of participants of the population-based studies Inter99 (n = 5620) and Health2006/Health2008 (n = 3788) were analyzed by 1H-NMR spectroscopy. Linear or mixed linear models were used to detect associations between urine metabolites and thyroid function.

resultsCross-sectional analyses revealed positive relations of alanine, trigonelline and lactic acid with FT4 and negative relations of dimethylamine, glucose, glycine and lactic acid with log(TSH). In longitudinal analyses, lower levels of alanine, dimethylamine, glycine, lactic acid and N,N-dimethylglycine were linked to a higher decline in FT4 levels over time, whereas higher trigonelline levels were related to a higher FT4 decline. Moreover, the risk of hypothyroidism was higher in subjects with high baseline trigonelline or low lactic acid, alanine or glycine values.

conclusionThe detected associations mainly emphasize the important role of thyroid hormones in glucose homeostasis. In addition, the predictive character of these metabolites might argue for a potential feedback of the metabolic state on thyroid function. Besides known metabolic consequences of TH, the link to the urine excretion of trigonelline, a marker of coffee consumption, represents a novel finding of this study and given the ubiquitous consumption of coffee requires further research.

Indexed as

CoffeeMetabolomicsThyroid Function TestsAdultBlood GlucoseFemaleHumansMaleMiddle AgedProton Magnetic Resonance SpectroscopyBlood GlucoseCoffee

Identifiers

PMID28253303
PMCPMC5333857
OpenAlexW2592561541

What OpenQuestion holds

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LicenceCC BY
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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.