Evidence map›Paper›PMID 28531195›Full record

SynthesisPloS one2017

Livestock metabolomics and the livestock metabolome: A systematic review.

Seyed Ali Goldansaz, An Chi Guo, Tanvir Sajed, Michael A Steele, Graham S Plastow, David S Wishart

Open access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 1 pooled it
10.9field-weighted citation impact, top 1% 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

182 citing papers in PubMed, 1 synthesis or guideline pooled it, 344 citations in OpenAlex.

  1. Pooled it
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  8. Review
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  20. Applications of metabolomics in cow health assessment.Metabolomics : Official journal of the Metabolomic Society · 2025
    Review

122 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Seyed Ali GoldansazDepartment of Agriculture, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.ORCID http://orcid.org/0000-0002-9051-3680
An Chi GuoDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.
Tanvir SajedDepartment of Computing Science, University of Alberta, Edmonton, Alberta, Canada.
Michael A SteeleDepartment of Agriculture, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.
Graham S PlastowDepartment of Agriculture, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics uses advanced analytical chemistry techniques to comprehensively measure large numbers of small molecule metabolites in cells, tissues and biofluids. The ability to rapidly detect and quantify hundreds or even thousands of metabolites within a single sample is helping scientists paint a far more complete picture of system-wide metabolism and biology. Metabolomics is also allowing researchers to focus on measuring the end-products of complex, hard-to-decipher genetic, epigenetic and environmental interactions. As a result, metabolomics has become an increasingly popular "omics" approach to assist with the robust phenotypic characterization of humans, crop plants and model organisms. Indeed, metabolomics is now routinely used in biomedical, nutritional and crop research. It is also being increasingly used in livestock research and livestock monitoring. The purpose of this systematic review is to quantitatively and objectively summarize the current status of livestock metabolomics and to identify emerging trends, preferred technologies and important gaps in the field. In conducting this review we also critically assessed the applications of livestock metabolomics in key areas such as animal health assessment, disease diagnosis, bioproduct characterization and biomarker discovery for highly desirable economic traits (i.e., feed efficiency, growth potential and milk production). A secondary goal of this critical review was to compile data on the known composition of the livestock metabolome (for 5 of the most common livestock species namely cattle, sheep, goats, horses and pigs). These data have been made available through an open access, comprehensive livestock metabolome database (LMDB, available at http://www.lmdb.ca). The LMDB should enable livestock researchers and producers to conduct more targeted metabolomic studies and to identify where further metabolome coverage is needed.

Indexed as

MetabolomeAnimalsCattleDatabases, ChemicalGoatsHorsesInternetLivestockMetabolomicsQuantitative Trait LociSheepSwine

Identifiers

PMID28531195
PMCPMC5439675
OpenAlexW2619865607

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.