Evidence map›Paper›PMID 35725997›Full record

ArticleScientific reports2022

Predictive blood biomarkers of sheep pregnancy and litter size.

Seyed Ali Goldansaz, Susan Markus, Graham Plastow, David S Wishart

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
2.8field-weighted citation impact, top 10% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. Early pregnancy detection in ruminants: challenges and innovations.The Journal of reproduction and development · 2025
    Review
  5. Article
  6. Article
  7. Review
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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

4 authors at 2 institutions in 1 country.

Seyed Ali GoldansazDepartment of Agriculture, Food and Nutritional Sciences, University of Alberta, Edmonton, T6G 2P5, Canada. goldansaz@ualberta.ca.
Susan MarkusLakeland College, 5707 College Drive, Vermillion, AB, T9X 1K5, Canada.
Graham PlastowDepartment of Agriculture, Food and Nutritional Sciences, University of Alberta, Edmonton, T6G 2P5, Canada.
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, T6G 2E9, Canada. dwishart@ualberta.ca.
University of Alberta · CALakeland College · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of sheep pregnancy and the prediction of how many lambs a pregnant ewe delivers affects sheep farmers in a number of ways, most notably with regard to feed management, lambing rate, and sheep/lamb health. The standard practice for direct detection of sheep pregnancy and litter size (PLS) is ultrasonography. However, this approach has a number of limitations. Indirect measurement of PLS using blood biomarkers could offer a simpler, faster and earlier route to PLS detection. Therefore, we undertook a large-scale metabolomics study to identify and validate predictive serum biomarkers of sheep PLS. We conducted a longitudinal experiment that analyzed 131 serum samples over five timepoints (from seven days pre-conception to 70 days post-conception) from six commercial flocks in Alberta and Ontario, Canada. Using LC-MS/MS and NMR, we identified and quantified 107 metabolites in each sample. We also identified three panels of serum metabolite biomarkers that can predict ewe PLS as early as 50 days after breeding. These biomarkers were then validated in separate flocks consisting of 243 animals yielding areas-under-the-receiver-operating-characteristic-curve (AU-ROC) of 0.81-0.93. The identified biomarkers could lead to the development of a simple, low-cost blood test to measure PLS at an early stage of pregnancy, which could help optimize reproductive management on sheep farms.

Indexed as

Tandem Mass SpectrometryAlbertaAnimalsBiomarkersChromatography, LiquidFemaleLitter SizePregnancySheepBiomarkers

Identifiers

PMID35725997
PMCPMC9209467
OpenAlexW4283168714

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.