Evidence map›Paper›PMID 39517266›Full record

ArticleFoods (Basel, Switzerland)2024

Pea Albumin Alleviates Oleic Acid-Induced Lipid Accumulation in LO2 Cells Through Modulating Lipid Metabolism and Fatty Acid Oxidation Pathways.

Bing Fang, Jie Luo, Zhengwu Cui, Rong Liu, Pengjie Wang, Jian Zhang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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.

Bing FangDepartment of Nutrition and Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-4818-9079
Jie LuoCollege of Food Science and Technology, Hunan Agricultural University, Changsha 410114, China.ORCID 0000-0001-7291-0933
Zhengwu CuiDepartment of Nutrition and Health, China Agricultural University, Beijing 100193, China.
Rong LiuDepartment of Nutrition and Health, China Agricultural University, Beijing 100193, China.
Pengjie WangDepartment of Nutrition and Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-9975-6737
Jian ZhangDepartment of Nutrition and Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-7041-3685

Funding

the 111 project from the Education Ministry of China B18053
6 · The paper itself

Abstract

Excessive lipid accumulation in the liver can cause NAFLD, leading to chronic liver injury. To relieve liver lipid accumulation by dietary proteins, this study used oleic acid (OA) induction to establish a stable in vitro LO2 cell lipid accumulation model. This model was used to explore the mechanism by which pea albumin (PA) regulates lipid levels in LO2 cells. PA has been shown to ameliorate OA-induced lipid accumulation in LO2 cells by reducing the aggregation of intracellular lipid droplets and lowering cell TG and TC levels. In addition, it can alleviate OA-induced LO2 cell damage and oxidative stress, reduce cellular ALT and AST secretion, lower cellular MDA levels, and increase GSH-Px viability. Regulation of lipid metabolism in LO2 cells involves inhibiting the cellular lipid synthesis pathway and activating the expression of proteins related to the triglyceride catabolic and fatty acid oxidation pathways. PA contributes to regulating lipid accumulation in LO2 cells. This study provides new insights into alleviating liver fat accumulation and a theoretical basis for exploring the mechanism of protein regulation of liver cell lipid metabolism.

Indexed as

lipid accumulationLO2 celloleic acidpea albumin

Identifiers

PMID39517266
PMCPMC11545291

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.