Evidence map›Paper›PMID 41939939›Full record

ArticleFood chemistry: X2026

Machine learning and experiment reveals gut microbial predictors of functional fatty acids in pork.

Lingfeng Pan, Zejin Li, Qian Zhu, Chenyu Wang, Qing Ouyang, Xingguo Huang, Caiyuan Zhou, Ifen Hung, Chunxue Liu, Kang Xu and 3 more

Abstract read
PubMed Full text at PMC Publisher
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.

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0citing papers in PubMed
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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

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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

13 authors.

Lingfeng PanCollege of Animal Science and Technology, Hunan Agriculture University, Changsha 410128, China.
Zejin LiCollege of Animal Science and Technology, Hunan Agriculture University, Changsha 410128, China.
Qian ZhuInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Chenyu WangCollege of Life Sciences, Hunan Normal University, Changsha 410081, China.
Qing OuyangCollege of Animal Science and Technology, Hunan Agriculture University, Changsha 410128, China.
Xingguo HuangCollege of Animal Science and Technology, Hunan Agriculture University, Changsha 410128, China.
Caiyuan ZhouXi'an Tiankang Feed Co., Ltd, Xian 710000, China.
Ifen HungAnyou Biotechnology Group Co., Ltd., Taicang 215421, China.
Chunxue LiuAnyou Biotechnology Group Co., Ltd., Taicang 215421, China.
Kang XuInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Jie YinCollege of Animal Science and Technology, Hunan Agriculture University, Changsha 410128, China.
Yuying LiInstitute of Bast Fiber Crops, Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Yulong YinCollege of Animal Science and Technology, Hunan Agriculture University, Changsha 410128, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-quality pork is rich in functional fatty acids such as α-linolenic (ALA), γ-linolenic acid (GLA), docosahexaenoic acid (DHA), and eicosapentaenoic acid (EPA). While gut microbiota influence muscle fatty acid deposition, its complexity remains elusive. Using machine learning, we analyzed data from 291 pigs to identify microbial predictors of muscle fatty acids linked to meat quality. The best-performing models revealed that

Indexed as

Fatty acidsGut microbiotaMachine learningMeat qualityPUFA

Identifiers

PMID41939939
PMCPMC13049673

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.