Evidence map›Paper›PMID 36355128›Full record

ArticleMetabolites2022

Identification of Candidate Salivary, Urinary and Serum Metabolic Biomarkers for High Litter Size Potential in Sows (

Lauren Fletcher, Nadeem Akhtar, Xiaoshu Zhan, Mohsen Jafarikia, Brian P Sullivan, Lee-Anne Huber, Julang Li

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Effect of SNPs on Litter Size in Swine.Current issues in molecular biology · 2024
    Article
  5. Article
  6. Article
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 at 2 institutions in 2 countries.

Lauren FletcherDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Nadeem AkhtarDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-0574-1102
Xiaoshu ZhanDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0001-8479-9320
Mohsen JafarikiaDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Brian P SullivanCanadian Centre for Swine Improvement Inc., Ottawa, ON K1A 0C6, Canada.
Lee-Anne HuberDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Julang LiDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
University of Guelph · CAFoshan University · CN

Funding

Food from Thought (FfT) and Canada First Research Excellence Fund (CFREF) #499093 & #499199
6 · The paper itself

Abstract

The selection of sows that are reproductively fit and produce large litters of piglets is imperative for success in the pork industry. Currently, low heritability of reproductive and litter-related traits and unfavourable genetic correlations are slowing the improvement of pig selection efficiency. The integration of biomarkers as a supplement or alternative to the use of genetic markers may permit the optimization and increase of selection protocol efficiency. Metabolite biomarkers are an advantageous class of biomarkers that can facilitate the identification of cellular processes implicated in reproductive condition. Metabolism and metabolic biomarkers have been previously implicated in studies of female mammalian fertility, however a systematic analysis across multiple biofluids in infertile and high reproductive potential phenotypes has not been explored. In the current study, the serum, urinary and salivary metabolomes of infertile (INF) sows and high reproductive potential (HRP) sows with a live litter size ≥ 13 piglets were examined using LC-MS/MS techniques, and a data pipeline was used to highlight possible metabolite reproductive biomarkers discriminating the reproductive groups. The metabolomes of HRP and INF sows were distinct, including significant alterations in amino acid, fatty acid, membrane lipid and steroid hormone metabolism. Carnitines and fatty acid related metabolites were most discriminatory in separating and classifying the HRP and INF sows based on their biofluid metabolome. It appears that urine is a superior biofluid than saliva and serum for potentially predicting the reproductive potential level of a given female pig based on the performance of the resultant biomarker models. This study lays the groundwork for improving gilt and sow selection protocols using metabolomics as a tool for the prediction of reproductive potential.

Indexed as

gilt selectioninfertilityLC-MS/MSlitter sizemetabolomicsreproductive potentialsalivaserumurine

Identifiers

PMID36355128
PMCPMC9697495
OpenAlexW4307944539

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.