Evidence map›Paper›PMID 39912552›Full record

ArticleProteomics. Clinical applications2025

Systemic Changes in Early Pregnancy in the Mare: An Integrated Proteomic Analysis of Blood Plasma, Histotroph, and Yolk Sac Fluid at Day 14 Post-Ovulation.

Tharangani R W Perera, Marta de Ruijter-Villani, Zamira Gibb, Brett Nixon, Alecia Sheridan, Tom A E Stout, Aleona Swegen, David A Skerrett-Byrne

Abstract read
In one paragraph

Article in Proteomics. Clinical applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Tharangani R W PereraPriority Research Centre for Reproductive Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia.
Marta de Ruijter-VillaniDepartment of Clinical Sciences, Utrecht University, Utrecht, The Netherlands.
Zamira GibbPriority Research Centre for Reproductive Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia.
Brett NixonPriority Research Centre for Reproductive Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia.ORCID 0000-0003-2745-8188
Alecia SheridanPriority Research Centre for Reproductive Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia.
Tom A E StoutDepartment of Clinical Sciences, Utrecht University, Utrecht, The Netherlands.
Aleona SwegenPriority Research Centre for Reproductive Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia.ORCID 0000-0001-7371-5400
David A Skerrett-ByrnePriority Research Centre for Reproductive Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia.ORCID 0000-0002-1804-1826

Funding

AgriFutures Australia Thoroughbred Horses Program PRJ-011748Australian Research Council DE220100121Australian Research Council FT220100557
6 · The paper itself

Abstract

purposeEmbryo-maternal signaling during the establishment of pregnancy in horses remains one of the biggest mysteries in large animal physiology. Early pregnancy loss represents a major source of economic loss to the breeding industry. This study aimed to investigate the systemic changes associated with early pregnancy by mapping the proteome of blood plasma at 14 days in pregnant and non-pregnant mares. EXPERIMENTAL

designPlasma proteomes were analysed in commercially bred pregnant (n = 17) and non-pregnant (n = 17) Thoroughbred mares at 14 days after ovulation, using high-resolution mass spectrometry. Day 14 histotroph and yolk sac fluid were also profiled and datasets were integrated through pathway analysis.

resultsWe identified 229 total protein IDs, with 12 increased and 10 decreased significantly in pregnant versus non-pregnant plasma. To gain functional insight, these data were aligned with proteomes of 14-day pregnant mare uterine fluid (n = 4; 1358 IDs) and conceptus fluid (soluble proteins within the yolk sac fluid; n = 4; 1152 IDs), and further interrogated using gene ontology databases and pathway analysis. CONCLUSIONS AND CLINICAL RELEVANCE: These analyses identified consistent systemic changes in the mare's proteome that indicate a profound and specific immune response to early pregnancy, which appears to precede the systemic endocrine response to pregnancy. Integrated pathway analysis suggests that embryo-maternal interactions in early pregnancy may mimic elements of the virus-host interaction to modulate the maternal immune response. Transthyretin (TTR) and uteroglobin (SCGB1A1) were respectively down- and upregulated in plasma while also present in uterine fluid, and are proposed to be key proteins in early pregnancy establishment. These findings contribute significantly to our knowledge of early pregnancy in the mare and identify potential new avenues for developing clinical approaches to reduce early embryo loss.

Indexed as

Pregnancy, AnimalProteomeProteomicsYolk SacAnimalsFemaleHorsesOvulationPregnancyProteomebiomarkerearly pregnancy lossMRPsecretoglobintransthyretinTTRuteroglobin

Identifiers

PMID39912552
PMCPMC11895760

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.