Evidence map›Paper›PMID 41262516›Full record

ArticleFrontiers in veterinary science2025

Identification of embryonic yield-related serum biomarkers using proteomic analysis in ovine superovulation.

Xiaohu Su, Yijing Zhu, Zirong Guo, Shuang Qiu, Quan Liu, Chao Bian, Liqiang Chen, Hideaki Yamashiro, Guangnan Liu, Zhanwen Zhang and 2 more

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Xiaohu Su *School of Life Sciences, Inner Mongolia University, Hohhot, China.
Yijing Zhu *Ulanqab Animal Husbandry Workstation, Ulanqab Agriculture and Animal Husbandry Bureau, Ulanqab, China.
Zirong GuoSchool of Life Sciences, Inner Mongolia University, Hohhot, China.
Shuang QiuSchool of Life Sciences, Inner Mongolia University, Hohhot, China.
Quan LiuUlanqab Animal Husbandry Workstation, Ulanqab Agriculture and Animal Husbandry Bureau, Ulanqab, China.
Chao BianDepartment of Tumor Radiotherapy, Inner Mongolia People's Hospital, Hohhot, China.
Liqiang ChenSchool of Life Sciences, Inner Mongolia University, Hohhot, China.
Hideaki YamashiroDepartment of Agriculture, Faculty of Agriculture, Niigata University, Niigata-shi, Niigata-ken, Japan.
Guangnan LiuUlanqab Animal Husbandry Workstation, Ulanqab Agriculture and Animal Husbandry Bureau, Ulanqab, China.
Zhanwen ZhangAnimal Husbandry and Veterinary Services Center, Chahar West Middle County Agriculture and Animal Husbandry Bureau, Ulanqab, China.
Liguo ZhangUlanqab Animal Husbandry Workstation, Ulanqab Agriculture and Animal Husbandry Bureau, Ulanqab, China.
Bin TongSchool of Life Sciences, Inner Mongolia University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Superovulation is an efficient technology for the propagation of excellent livestock. Blood proteins other than reproductive hormones might be related to the outcome of superovulation. In this study, to identify potential protein biomarkers, the serum proteome of superovulation donor ewes was analyzed. The ewes were classified into spontaneous estrus (SE) and induced estrus (IE) groups, and their blood samples were collected before the first follicle-stimulating hormone (FSH) injection. Then, high (HEY) and low embryonic yield (LEY) populations of each group were identified based on the total embryonic number. Five donors from each population were selected for serum proteomic analysis. Finally, partially differentially expressed proteins (DEPs) were verified using the enzyme-linked immunosorbent assay (ELISA). Averages of 18.6 ± 12.4 and 14.4 ± 8.7 total embryos were collected from the SE and IE groups, respectively. We identified 13 and 12 DEPs in the SE and IE groups, respectively, after the comparison of the HEY and LEY populations of both groups. Furthermore, the ELISA revealed that three DEPs-ACAA1, B2MG, and ADAMTS13-in the SE group and two DEPs-B2MG and APO-F-in the IE group exhibited a significant linear correlation with the total number of embryos. This study showed that ACAA1, B2MG, ADAMTS13, and APO-F could be used as potential biomarkers for donor selection in ovine superovulation. Our results provide novel insights into the relationship between blood proteins and ovarian function and offer a theoretical basis for the prediction of superovulation outcomes.

Indexed as

biomarkerdonor selectionserum proteomesheepsuperovulation

Identifiers

PMID41262516
PMCPMC12624267

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