Evidence map›Paper›PMID 40218311›Full record

ArticleAnimals : an open access journal from MDPI2025

Modulation of the Toll-like Receptor Pathway in Ovine Endometria During Early Pregnancy.

Guoao Yu, Mengyao Song, Chenxu Wu, Xiaoxin Ma, Leying Zhang, Ling Yang

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

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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

6 authors.

Guoao YuSchool of of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.ORCID 0009-0006-0398-8415
Mengyao SongSchool of of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.ORCID 0009-0001-0630-8554
Chenxu WuSchool of of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.ORCID 0009-0008-7166-015X
Xiaoxin MaSchool of of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.ORCID 0009-0003-2916-8034
Leying ZhangSchool of of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.ORCID 0000-0002-8612-8325
Ling YangSchool of of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.ORCID 0000-0003-4385-0024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Correct immunological dialogue between the maternal uterus and conceptus is essential during implantation, and Toll-like receptors (TLRs) participate in maternal immune tolerance during pregnancy. This study aimed to analyze the effect of early pregnancy on Toll-like receptor pathways in the ovine endometrium. Ovine endometria were obtained on day 16 of the estrous cycle (N16) and days 13, 16, and 25 of pregnancy (P13, P16, and P25), and expression profiles of TLR members, including TLRs, tumor necrosis factor receptor-associated factor 6 (TRAF6), interleukin 1 receptor-associated kinase 1 (IRAK1), and myeloid differentiation primary response gene 88 (MyD88), were detected by quantitative real-time PCR, Western blot analysis, and immunohistochemistry analysis. The data of this study showed that the expression of TLR2 and TLR5 was gradually increased during early pregnancy compared to N16, and TLR3 expression was greater at P16 and P25 than at N16 and P13. However, the expression levels of TLR4 and TRAF6 were weaker at P13 and P16, and the expression of MyD88 was inhibited by early pregnancy. Furthermore, early pregnancy regulated IRAK1 expression. These findings corroborated that the TLR pathway was modulated in the ovine endometrium during early pregnancy, which may be involved in maternal immunoregulation.

Indexed as

endometriumpregnancysheeptoll-like receptor

Identifiers

PMID40218311
PMCPMC11987747

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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.