Evidence map›Paper›PMID 34438746›Full record

ArticleAnimals : an open access journal from MDPI2021

Untargeted Metabolomics Analysis Revealed Lipometabolic Disorders in Perirenal Adipose Tissue of Rabbits Subject to a High-Fat Diet.

Siqi Xia, Jiahao Shao, Mauricio A Elzo, Tao Tang, Yanhong Li, Tianfu Lai, Mingchuan Gan, Yuan Ma, Xianbo Jia, Songjia Lai and 1 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. 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. Article
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

11 authors.

Siqi XiaCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Jiahao ShaoCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Mauricio A ElzoDepartment of Animal Science, University of Florida, Gainesville, FL 32611, USA.
Tao TangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Yanhong LiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Tianfu LaiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Mingchuan GanCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Yuan MaCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Xianbo JiaFarm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-6885-4104
Songjia LaiFarm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China.
Jie WangFarm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China.

Funding

Key Research and Development Program of Sichuan Province 2021YFYZ0033
6 · The paper itself

Abstract

A high-fat diet (HFD) is widely recognized as a significant modifiable risk for insulin resistance, inflammation, Type 2 diabetes, atherosclerosis and other metabolic diseases. However, the biological mechanism responsible for key metabolic disorders in the PAT of rabbits subject to HFD remains unclear. Here, untargeted metabolomics (LC-MS/MS) combined with liquid chromatography (LC) and high-resolution mass spectrometry (MS) were used to evaluate PAT metabolic changes. Histological observations showed that the adipocytes cells and density of PAT were significantly increased in HFD rabbits. Our study revealed 206 differential metabolites (21 up-regulated and 185 down-regulated); 47 differential metabolites (13 up-regulated and 34 down-regulated), comprising mainly phospholipids, fatty acids, steroid hormones and amino acids, were chosen as potential biomarkers to help explain metabolic disorders caused by HFD. These metabolites were mainly associated with the biosynthesis of unsaturated fatty acids, the arachidonic acid metabolic pathway, the ovarian steroidogenesis pathway, and the platelet activation pathway. Our study revealed that a HFD caused significant lipometabolic disorders. These metabolites may inhibit oxygen respiration by increasing the adipocytes cells and density, cause mitochondrial and endoplasmic reticulum dysfunction, produce inflammation, and finally lead to insulin resistance, thus increasing the risk of Type 2 diabetes, atherosclerosis, and other metabolic syndromes.

Indexed as

high-fat dietlipometabolicmetabolomicsperirenal adipose tissue (PAT)rabbit

Identifiers

PMID34438746
PMCPMC8388361

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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.