Evidence map›Paper›PMID 41464938›Full record

ArticleFoods (Basel, Switzerland)2025

Using Volatile Oxidation Products to Predict the Inflammatory Capacity of Oxidized Methyl Linoleate.

Zhiwen Zhang, Luocheng Zhang, Xinxin Jiao, Sasa Zhao, Hua Wu, Junsong Xiao

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. 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

6 authors.

Zhiwen ZhangSchool of Food and Health, Beijing Technology and Business University, Higher Education Garden, Liangxiang, Fangshan District, Beijing 102488, China.
Luocheng ZhangSchool of Food and Health, Beijing Technology and Business University, Higher Education Garden, Liangxiang, Fangshan District, Beijing 102488, China.
Xinxin JiaoSchool of Light Industry Science ang Engineering, Beijing Technology and Business University, Higher Education Garden, Liangxiang, Fangshan District, Beijing 102488, China.
Sasa ZhaoSchool of Food and Health, Beijing Technology and Business University, Higher Education Garden, Liangxiang, Fangshan District, Beijing 102488, China.
Hua WuSchool of Light Industry Science ang Engineering, Beijing Technology and Business University, Higher Education Garden, Liangxiang, Fangshan District, Beijing 102488, China.ORCID 0000-0002-6916-1596
Junsong XiaoSchool of Food and Health, Beijing Technology and Business University, Higher Education Garden, Liangxiang, Fangshan District, Beijing 102488, China.ORCID 0000-0001-6778-8187

Funding

Natural Science Foundation of Beijing Municipality 6212002
6 · The paper itself

Abstract

This study evaluated whether the volatile profile of methyl linoleate (MLO) can predict its pro-inflammatory capacity. MLO was subjected to two oxidation conditions simulating ambient storage and high-temperature frying. Free radicals, volatile compounds, and aldehydes were quantified using ESR, HS-SPME-GC-MS, and UPLC-MS/MS. Oxidized MLO was applied to RAW264.7 macrophages to evaluate inflammatory cytokines and oxidative stress responses, and PLSR models were developed to predict cellular outcomes based on volatile fingerprints. Both oxidation conditions induced substantial increases in short-chain and unsaturated aldehydes, with high-temperature oxidation generating markedly higher levels of key volatiles. Oxidized MLO significantly elevated TNF-α, IL-1β, COX-2, ROS, NO, and MDA while reducing SOD activity (

Indexed as

HS-SPME-GC-MSinflammationlipid oxidationmethyl linoleatemodel predictionRAW264.7 cells

Identifiers

PMID41464938
PMCPMC12731653

What OpenQuestion 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 OpenQuestion graph.