Evidence map›Paper›PMID 37714996›Full record

ArticleCommunications biology2023

Small RNA sequencing analysis of exosomes derived from umbilical plasma in IUGR lambs.

Jiawei Lu, Huixia Li, Xiaomin Zheng, Yuan Liu, Peng Zhao

Abstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jiawei LuCollege of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China.ORCID http://orcid.org/0000-0002-6076-7102
Huixia LiCollege of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China. lihuixia@njau.edu.cn.ORCID http://orcid.org/0000-0001-8566-7143
Xiaomin ZhengResearch Institute for Reproductive Medicine and Genetic Diseases, Wuxi Maternity and Child Health Hospital, Wuxi, 214002, Jiangsu, China. 972514523@qq.com.ORCID http://orcid.org/0000-0002-3024-8985
Yuan LiuCollege of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China.
Peng ZhaoCollege of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the summer, pregnant ewes experience heat stress, leading to the occurrence of IUGR lambs. This study aims to explore the biomarkers of exosomal miRNAs derived from umbilical plasma in both IUGR and normal Hu lambs. We establish a heat-stressed Hu sheep model during mid-late gestation and selected IUGR and normal lambs for analysis. Exosomes from umbilical plasma were separated and small RNA sequencing is used to identify differentially expressed miRNAs. Next, we utilize MiRanda to predict the target genes of the differentially expressed miRNAs. To further understand the biological significance of these miRNAs, we conduct GO and KEGG pathway enrichment analysis for their target genes. The study's findings indicate that oar-miR-411a-5p is significantly downregulated in exosomes derived from umbilical plasma of IUGR lambs, while oar-miR-200c is significantly upregulated in the HS-IUGR group (P < 0.05). Furthermore, GO and KEGG enrichment analysis demonstrate that the target genes are involved in the Wnt, TGF-beta, and Rap1 signaling pathways. miRNAs found in exosomes have the potential to be utilized as biomarkers for both the diagnosis and treatment of IUGR fetuses.

Indexed as

ExosomesMicroRNAsAnimalsFemaleFetusPlasmaPregnancySequence Analysis, RNASheepMicroRNAs

Identifiers

PMID37714996
PMCPMC10504244

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.