Evidence map›Paper›PMID 38999751›Full record

ArticleNutrients2024

The Lipid-Metabolism-Associated Anti-Obesity Properties of Rapeseed Diacylglycerol Oil.

Yilin Mao, Danhong Zheng, Lin He, Jing Chen

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Yilin MaoJNU-UPM International Joint Laboratory on Plant Oil Processing and Safety, Department of Food Science and Engineering, Jinan University, Guangzhou 510632, China.
Danhong ZhengCollege of Pharmacy, Jinan University, Guangzhou 510632, China.
Lin HeFastco Biotech (Hangzhou) Co., Ltd., Hangzhou 311222, China.
Jing ChenInstitute for Advanced and Applied Chemical Synthesis, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-7267-064X

Funding

Natural Science Foundation of Guangdong Province,China 32223076Young Scientists Fund of the National Natural Science Foundation of China 21322071
6 · The paper itself

Abstract

To investigate the effects of rapeseed diacylglycerol oil (RDG) intake on lipid accumulation and metabolism in C57BL/6J mice, obese mice were fed a high-fat diet in which 45% of the total energy content came from RDG (RDGM group) or rapeseed triacylglycerol oil (RTGM group). This diet intervention was conducted for 12 weeks following the establishment of the obese mouse model. By the end of the experiment, the serum glucose levels of the mice in the RTGM and RDGM groups were 13.0 ± 1.3 mmol/L and 9.7 ± 1.5 mmol/L, respectively. Meanwhile, the serum triglyceride level in the RDGM group was 26.3% lower than that in the RTGM group. The weight-loss effect in the RDGM group was accompanied by a significant decrease in the white adipose tissue (WAT) index. The RDG intervention did not significantly change the antioxidant and anti-inflammatory properties of the rapeseed oil in vivo. The RDG diet improved the liver lipid metabolism abnormalities induced by a high-fat diet, leading to decreased liver damage index values (AST and ALT). Additionally, compared to that in the RTGM group, the expression of the adipogenic genes

Indexed as

Anti-Obesity AgentsDiet, High-FatDiglyceridesLipid MetabolismLiverMice, Inbred C57BLObesityRapeseed OilAdipose Tissue, WhiteAnimalsDiacylglycerol O-AcyltransferaseGastrointestinal MicrobiomeMaleMiceMice, ObesePPAR gammaAnti-Obesity AgentsDiacylglycerol O-AcyltransferaseDiglyceridesPPAR gammaRapeseed OilTriglyceridesdiacylglycerolgut floralipid metabolismrapeseed oilwhite adipose tissue

Identifiers

PMID38999751
PMCPMC11243274

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.