Evidence map›Paper›PMID 31965056›Full record

ArticleScientific reports2020

Describing the fecal metabolome in cryogenically collected samples from healthy participants.

Kajetan Trošt, Linda Ahonen, Tommi Suvitaival, Nina Christiansen, Trine Nielsen, Maja Thiele, Suganya Jacobsen, Aleksander Krag, Peter Rossing, Torben Hansen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 16 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 7 institutions in 2 countries.

Kajetan Trošt *Steno Diabetes Center Copenhagen, Gentofte, Denmark.
Linda Ahonen *Steno Diabetes Center Copenhagen, Gentofte, Denmark.
Tommi SuvitaivalSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Nina ChristiansenSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Trine NielsenThe Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Maja ThieleDepartment of Gastroenterology and Hepatology and Odense Patient Data Exploratory Network (OPEN), Odense University Hospital, Odense, Denmark.
Suganya JacobsenDepartment of Gastroenterology and Hepatology and Odense Patient Data Exploratory Network (OPEN), Odense University Hospital, Odense, Denmark.
Aleksander KragDepartment of Gastroenterology and Hepatology and Odense Patient Data Exploratory Network (OPEN), Odense University Hospital, Odense, Denmark.
Peter RossingSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Torben HansenThe Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Lars Ove DragstedDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Cristina Legido-QuigleySteno Diabetes Center Copenhagen, Gentofte, Denmark. cristina.legido.quigley@regionh.dk.
Steno Diabetes Center · DKUniversity of Copenhagen · DKUniversity of Southern Denmark · DKBiosyntia (Denmark) · DKKing's College London · GBNovo Nordisk Foundation · DKOdense University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chemical composition of feces plays an important role in human metabolism. Metabolomics and lipidomics are valuable tools for screening the metabolite composition in feces. Here we set out to describe fecal metabolite composition in healthy participants in frozen stools. Frozen stool samples were collected from 10 healthy volunteers and cryogenically drilled in four areas along the specimen. Polar metabolites were analyzed using derivatization followed by two-dimensional gas chromatography and time of flight mass spectrometry. Lipids were detected using ultra high-performance liquid chromatography coupled with quadruple time-of-flight mass spectrometry. 2326 metabolic features were detected. Out of a total of 298 metabolites that were annotated we report here 185 that showed a technical variation of x < 30%. These metabolites included amino acids, fatty acid derivatives, carboxylic acids and phenolic compounds. Lipids predominantly belonged to the groups of diacylglycerols, triacylglycerols and ceramides. Metabolites varied between sampling areas, some were broadly homogeneous, others varied 80%. A LASSO-computed network using metabolites present in all areas showed two main clusters describing the system, DAG lipids and phenyllactic acid. In feces from healthy participants, the main groups detected were phenolic compounds, ceramides, diacylglycerols and triacylglycerols.

Indexed as

MetabolomeAdultAgedCeramidesCryopreservationFecesFemaleHealthy VolunteersHumansLipidsMaleMiddle AgedPhenolsSpecimen HandlingTriglyceridesCeramidesLipidsPhenolsTriglycerides

Identifiers

PMID31965056
PMCPMC6972823
OpenAlexW3000999253

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.