Evidence map›Paper›PMID 41375984›Full record

ArticleFoods (Basel, Switzerland)2025

Random Forest-Assisted Widely Targeted Lipidomic Reveals Differences in Tan Lamb Meat Quality in Different Regions.

Qi Yang, Chongxin Liu, Muxuan Xu, Minghui Gu, Le Xu, Shaobo Li, Xiaochun Zheng, Dequan Zhang, Li Chen

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Qi YangKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
Chongxin LiuKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.ORCID 0000-0002-8171-152X
Muxuan XuKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
Minghui GuKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
Le XuKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
Shaobo LiKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
Xiaochun ZhengKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.ORCID 0000-0002-9968-4566
Dequan ZhangKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.ORCID 0000-0003-3277-6113
Li ChenKey Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Institute of Food Science and Technology, Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.

Funding

the National Key R&D Program of Ningxia Hui Autonomous Region, China 2024BBF02022
6 · The paper itself

Abstract

This study aims to elucidate the quality differences among Tan lamb from three major production regions and investigate the influence and regulation of lipids on regional sheep meat quality. The Ningxia Tan lamb exhibited higher pH values, lower lightness and yellowness, better water-holding capacity and more polyunsaturated fatty acids compared to the other regions. GC-IMS revealed different flavor profiles of Tan lamb from different regions. A total of 1080 lipids across 41 lipid subclasses were identified, with 10 lipid molecules, including PC (16:0_16:1), Carnitine C3:0 and Carnitine C5:1, serving as key differentiators among the regions, as determined by the Random Forest method. Correlation analysis revealed strong associations between acyl lipid characteristics and pH, lightness and centrifugal loss, while glycerophospholipid characteristics were significantly correlated with basic nutritional indices. Lipid metabolic pathway analysis indicated that thermogenesis, glycerophospholipid metabolism and metabolic pathways as crucial for Tan lamb growth, serving as major pathways for distinguishing different regional Tan lamb. These findings indicate that origin influences lamb quality and lipid composition and that a relationship may exist between lamb quality and lipid variations. This provides a comprehensive understanding of how lamb quality is formed and contributes to future identification of lamb origins, as well as control and enhancement of meat quality.

Indexed as

different regionslipidomicmeat qualityrandom forestTan lamb

Identifiers

PMID41375984
PMCPMC12692676

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.