Evidence mapPaperPMID 42239712Full record

ArticleFrontiers in nutrition2026

Screening and functional verification of potential metabolites for high fertility in sows.

Ran Ning, Jiale Bao, Yulan Zhao, Yanlong Li, Zhekun Zhu, Shuang Cai, Xiangzhou Zeng, Xiangfang Zeng, Haiqing Sun, Fenglai Wang

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Article in Frontiers in nutrition, 2026. 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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5 · Who and what money

Authors and funding

10 authors.

Ran NingState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Jiale BaoState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Yulan ZhaoState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Yanlong LiState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Zhekun ZhuState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Shuang CaiState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Xiangzhou ZengState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Xiangfang ZengState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.
Haiqing SunGuangxi Yangxiang Group Company Limited, Guangxi, China.
Fenglai WangState Key Laboratory of Animal Nutrition and Feeding, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutritional metabolism greatly influences the embryonic development and pregnancy outcomes. Exploring the metabolic differences between high and low fertility individuals plays pivotal roles in improving reproduction in mammals. Objective: The objective of this study was to explore and confirm the important metabolites influencing the reproductive potential of multiparous sows. Methods: Forty serum samples were collected from Landrace × Large White crossbred sows (3-5 parity) with high litter size (HL) (total litter size ≥ 16) and low litter size (LL) (total litter size ≤ 12) to conduct metabolomics and lipidomics, and differential analysis was applied to screen the potential important metabolite candidates. In addition, porcine trophectoderm cells (PTC) and porcine endometrial stromal cells (PEEC) were used to evaluate the effects of potential metabolite candidates on Results: Through integrated untargeted metabolomics and lipidomics in the serum of sows with different fertility, we identified 37 upregulated metabolites including 3-methylglutaric acid, allantoin, uridine 5'-monophosphate (UMP), asparagine, oxypurinol, oleamide, phosphatidylcholine (PC), and cholesterol ester (ChE) and 77 downregulated metabolites including cholic acid, chenodeoxycholic acid, ursodeoxycholic acid, chenodeoxycholic acid 24-glucuronide (CDCA-24G), triglyceride (TG), phosphatidylethanolamine (PE), and (O-acyl)-ω-hydroxy fatty acid (OAHFA). The altered metabolites were involved in arginine and proline metabolism, purine metabolism, sphingolipid metabolism, ether lipid metabolism, and phenylalanine, tyrosine and tryptophan biosynthesis. In addition, Conclusion: Our results suggest that asparagine and PC (18:0_22:6) may serve as potential key functional metabolites to enhance reproductive capacity. These findings highlight metabolic targets and potential nutritional strategies for improving fertility in mammals.

Indexed as

amino acidslipidsmetabolitesreproductive performancesow

Identifiers

PMID42239712
PMCPMC13228118

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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 Socratic graph.