Evidence map›Paper›PMID 34677396›Full record

ArticleMetabolites2021

Analytical Methodology for a Metabolome Atlas of Goat's Plasma, Milk and Feces Using

Cécile Martias, Julie Gatien, Léa Roch, Nadine Baroukh, Sylvie Mavel, Antoine Lefèvre, Frédéric Montigny, Laurent Schibler, Patrick Emond, Lydie Nadal-Desbarats

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  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

10 authors at 2 institutions in 1 country.

Cécile MartiasUMR 1253 iBrain, University of Tours, Inserm, 37044 Tours, France.
Julie GatienAllice, Phenotyping Station, 37380 Nouzilly, France.
Léa RochAllice, Phenotyping Station, 37380 Nouzilly, France.
Nadine BaroukhUMR 1253 iBrain, University of Tours, Inserm, 37044 Tours, France.ORCID 0000-0003-2974-791X
Sylvie MavelUMR 1253 iBrain, University of Tours, Inserm, 37044 Tours, France.
Antoine LefèvreUMR 1253 iBrain, University of Tours, Inserm, 37044 Tours, France.
Frédéric MontignyUMR 1253 iBrain, University of Tours, Inserm, 37044 Tours, France.
Laurent SchiblerAllice, Phenotyping Station, 37380 Nouzilly, France.
Patrick EmondUMR 1253 iBrain, University of Tours, Inserm, 37044 Tours, France.
Lydie Nadal-DesbaratsUMR 1253 iBrain, University of Tours, Inserm, 37044 Tours, France.
Université de Tours · FRBiologie des oiseaux et aviculture · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics has been increasingly used in animal and food sciences. Animal health is one of the most important factor that can also alter animal integrity and welfare. Some studies have already investigated the link between health and metabolic profile of dairy animals. These studies in metabolomics often consider a single type of sample using a single analytical platform (nuclear magnetic resonance or mass spectrometry). Only few studies with multi-platform approaches are also used with a single or a multi type of sample, but they mainly consider dairy cows' metabolome although dairy goats present similar diseases, that it could be interesting to detect early to preserve animal health and milk production. This study aims to create a metabolic atlas of goat plasma, milk and feces, based on healthy animals. Our study describes a standard operating procedure for three goat matrices: blood plasma, milk, and feces using multiple platforms (NMR (

Indexed as

1H-NMRfecesgoatLC-MSmetabolic fingerprintingmilkplasma

Identifiers

PMID34677396
PMCPMC8537934
OpenAlexW3206927382

What OpenQuestion holds

Textmetadata
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.