Evidence map›Paper›PMID 30901936›Full record

ArticleMetabolites2019

Efficient Extraction from Mice Feces for NMR Metabolomics Measurements with Special Emphasis on SCFAs.

Adrian Hauser, Philipp Eisenmann, Claudia Muhle-Goll, Burkhard Luy, Andreas Dötsch, Daniela Graf, Pavleta Tzvetkova

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
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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

7 authors.

Adrian HauserKarlsruhe Institute of Technology, Institute of Organic Chemistry, Fritz-Haber Weg 6, 76131 Karlsruhe, Germany. adrian.hauser@partner.kit.edu.
Philipp EisenmannKarlsruhe Institute of Technology, Institute of Organic Chemistry, Fritz-Haber Weg 6, 76131 Karlsruhe, Germany. philipp-michael.eisenmann@kit.edu.
Claudia Muhle-GollKarlsruhe Institute of Technology, Institute for Biological Interfaces-4, Magnetic Resonance, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. claudia.muhle-goll@kit.edu.
Burkhard LuyKarlsruhe Institute of Technology, Institute of Organic Chemistry, Fritz-Haber Weg 6, 76131 Karlsruhe, Germany. burkhard.luy@kit.edu.ORCID 0000-0001-9580-6397
Andreas DötschMax Rubner-Institut, Haid-und-Neu-Straße 9, 76131 Karlsruhe, Germany. andreas.doetsch@mri.bund.de.
Daniela GrafMax Rubner-Institut, Haid-und-Neu-Straße 9, 76131 Karlsruhe, Germany. daniela.graf@mri.bund.de.ORCID 0000-0002-1746-1415
Pavleta TzvetkovaKarlsruhe Institute of Technology, Institute for Biological Interfaces-4, Magnetic Resonance, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. pavleta.tzvetkova@kit.edu.ORCID 0000-0003-1236-084X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is one of the most promising methods for use in metabolomics studies as it is able to perform non targeted measurement of metabolites in a quantitative and non-destructive way. Sample preparation of liquid samples like urine or blood serum is comparatively easy in NMR metabolomics, because mainly buffer and chemical shift reference substance are added. For solid samples like feces suitable extraction protocols need to be defined as initial step, where the exact protocol depends on sample type and features. Focusing on short chain fatty acids (SCFAs) in mice feces, we describe here a set of extraction protocols developed with the aim to suppress changes in metabolite composition within 24 h after extraction. Feces are obtained from mice fed on either standard rodent diet or high fat diet. The protocols presented in this manuscript are straightforward for application, and successfully minimize residual bacterial and enzymatic activities. Additionally, they are able to minimize the lipid background originating from the high fat diet.

Indexed as

dietdietary fibersextractionextraction protocolfaecesfecesmetabolomicsmiceNMRNMR spectroscopyshort chain fatty acids

Identifiers

PMID30901936
PMCPMC6468719

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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.