Evidence map›Paper›PMID 41777635›Full record

ArticleFood chemistry: X2026

Multi-omics analysis of functional component networks in human, porcine, and ruminant milk: Insights for precise design of infant formula and milk replacers based on bovine milk.

Rui Chen, Jiamei Liang, Yuanyuan Zheng, Yinggang Sun, Yanzhi Wu, Yanqin Meng, Qiu Zhang, Qian Li, Xiaowei Wang, Yuan Pan and 5 more

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. 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

15 authors.

Rui ChenCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Jiamei LiangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Yuanyuan ZhengCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Yinggang SunCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Yanzhi WuCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Yanqin MengOrdos Vocational College of Ecological Environment, Kangbashi District, Ordos City, Inner Mongolia Autonomous Region 017100, China.
Qiu ZhangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Qian LiCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Xiaowei WangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Yuan PanCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Siyi LiCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Ran DuanCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Qingyu YuanCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Qiying ZhanCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.
Zeying WangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang City 110866, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This integrated multi-omics study (metabolomics, lipidomics, proteomics) compared the compositions of bovine, caprine, ovine, porcine, and human milk. Human milk is defined by a unique microenvironment where complex human milk oligosaccharides and immune regulating small molecules act together. Components like Lnnt and Lnfp iii form interactive networks, which help modulate both gut microbiota and the immune system. Porcine milk contributes to neural development and immune function. It is rich in polar phospholipids and polyunsaturated fatty acids such as docosahexaenoic acid, important for neural structure and function. Porcine milk also contains specifically high levels of immunoglobulins, including IgM and IgG. In contrast, ruminant milks like bovine and caprine milk show a distinct composition, with high levels of certain functional proteins and active metabolites, such as xanthine dehydrogenase, osteopontin, and allantoin. These findings provide new insights for the precise development of better bovine milk based infant formula and animal milk replacers.

Indexed as

Bovine milkImmunoglobulinInfant formulaMilk replacerPorcine milk

Identifiers

PMID41777635
PMCPMC12950474

What OpenQuestion holds

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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.