Evidence map›Paper›PMID 38138996›Full record

ArticleInternational journal of molecular sciences2023

TMT-Based Proteomics Analysis Revealed the Protein Changes in Perirenal Fat from Obese Rabbits.

Genglong Jiang, Jiahao Shao, Tao Tang, Meigui Wang, Jie Wang, Xianbo Jia, Songjia Lai

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Genglong JiangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0009-0002-4349-4736
Jiahao ShaoCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Tao TangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Meigui WangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Jie WangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-1399-7079
Xianbo JiaCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-6885-4104
Songjia LaiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0003-2830-2425
Sichuan Agricultural University · CN

Funding

The National Modern Agricultural Industrial Technology System and the Key Research and Development Program of Sichuan Province CARS-43-A-2 and 2021YFYZ0033
6 · The paper itself

Abstract

Obesity has become increasingly prevalent in recent years, and there is a need for a deeper understanding of the complex pathogenesis underlying the obesity condition. Therefore, the objective of this study was to investigate how a high-fat diet (HFD) affects protein expression in a female-rabbit model compared to a standard normal-diet group (SND), to gain comprehensive insights into the molecular mechanisms involved in obesity. To achieve this objective, a tandem mass tag (TMT)-based quantitative proteomics analysis was conducted to examine the molecular changes occurring in the white adipose tissue (WAT) from the HFD and SND groups. The sequencing results identified a total of 4215 proteins, among which 151 proteins exhibited significant differential expression. Specifically, there were 85 upregulated proteins and 66 downregulated proteins in the HFD group compared to the SND group. Further analysis of these differentially expressed proteins (DEPs) revealed their involvement in crucial biological processes, including energy metabolism, hormonal regulation, and inflammatory response. In conclusion, this study sheds light on the impact of HFD on protein expression in a female-rabbit model, providing new insights into the molecular mechanisms underlying obesity and the associated metabolic disorders.

Indexed as

ObesityProteomicsAdipose Tissue, WhiteAnimalsDiet, High-FatFemaleIntra-Abdominal FatMiceMice, Inbred C57BLRabbitshigh-fat dietobesityproteomicswhite adipose tissue

Identifiers

PMID38138996
PMCPMC10743514
OpenAlexW4389392978

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.