Evidence map›Paper›PMID 42121508›Full record

ArticleFoods (Basel, Switzerland)2026

Integrated Lipidomics and Metabolomics Reveal Stage-Dependent Differences in Flavor Precursor Composition Between Higher- and Lower-Body-Weight Beijing-You Chickens.

Xia Chen, Jian Zhang, Xiaoyue Zhang, Cheng Chang, Hongchang Gu, Zhixun Yan, Lingchao Zeng, Ailian Geng, Jing Cao, Qin Chu and 1 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

11 authors.

Xia ChenInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0002-8310-2904
Jian ZhangInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0002-9885-6020
Xiaoyue ZhangInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Cheng ChangInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0003-0557-7389
Hongchang GuInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0001-6925-3821
Zhixun YanInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Lingchao ZengInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Ailian GengInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Jing CaoInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Qin ChuInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Huagui LiuInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.

Funding

Beijing Agriculture Innovation Consortium BAIC06-2025-G02Beijing Rural Revitalization Agricultural Science and Technology Project NY2401160325Innovation Program of Innovation Program of Beijing Academy of Agricultural and Forestry Sciences KJCX20251206Youth Fund of Beijing Academy of Agricultural and Forestry Sciences QNJJ202422
6 · The paper itself

Abstract

Body weight variation within a breed may be associated with meat flavor in chickens, but its relationship with flavor-related precursor composition across developmental stages remains unclear. Here, integrated lipidomics and metabolomics were applied to compare breast muscle from Beijing-You chickens sampled from the same cohort at 90, 110, 130, and 150 d in a stage-wise design. At each stage, higher-body-weight (HBW) and lower-body-weight (LBW) groups were independently defined from the upper and lower tails of the body weight distribution at that age. A total of 440, 259, 161, and 324 differential lipids, as well as 491, 257, 291, and 402 differential metabolites, were identified at the four stages, respectively. However, only 23 lipids and 3 metabolites were shared across all stages, indicating that metabolic differences between the HBW and LBW groups varied markedly across developmental stages. Differential lipids were mainly distributed among phosphatidylcholine, phosphatidylethanolamine, and phosphatidylserine, while glycerophospholipid metabolism was consistently identified in both lipidomic and metabolomic analyses. Notably, a key transition was observed between 110 and 130 d, during which the predominant direction of PUFA-like differential lipids shifted from HBW to LBW predominance. Representative differential metabolites included N-acetyl-L-methionine, N-methyl-L-glutamic acid, and γ-glutamyl-5-hydroxytryptophan, suggesting alterations in amino acid- and peptide-related metabolism. Overall, these findings provide insight into stage-dependent variation in flavor-related precursor composition within a breed across developmental stages. However, their direct contribution to flavor remains to be validated.

Indexed as

body weight variationchickendevelopmental stageflavor precursorlipidomicsmetabolomics

Identifiers

PMID42121508
PMCPMC13164383

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.