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Principal component analysis of adipose tissue gene expression of lipogenic and adipogenic factors in obesity

Overview of attention for article published in BMC Endocrine Disorders, April 2023
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Title
Principal component analysis of adipose tissue gene expression of lipogenic and adipogenic factors in obesity
Published in
BMC Endocrine Disorders, April 2023
DOI 10.1186/s12902-023-01347-w
Pubmed ID
Authors

Naghmeh Jannat Ali Pour, Hossein Zabihi-Mahmoudabadi, Reyhane Ebrahimi, Mir Saeed Yekaninejad, Seyyed Mohammad Reza Hashemnia, Reza Meshkani, Solaleh Emamgholipour

Abstract

A better understanding of mechanisms regulating lipogenesis and adipogenesis is needed to overcome the obesity pandemic. We aimed to study the relationship of the transcript levels of peroxisome proliferator activator receptor γ (PPARγ), CCAAT/enhancer-binding protein alpha (C/EBP-α), liver X receptor (LXR), sterol regulatory element-binding protein-1c (SREBP-1c), fatty acid synthase (FAS), and acetyl-CoA carboxylase (ACC) in subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from obese and normal-weight women with a variety of anthropometric indices, metabolic and biochemical parameters, and insulin resistance. Real-time PCR was done to evaluate the transcript levels of the above-mentioned genes in VAT and SAT from all participants. Using principal component analysis (PCA) results, two significant principal components were identified for adipogenic and lipogenic genes in SAT (SPC1 and SPC2) and VAT (VPC1 and VPC2). SPC1 was characterized by relatively high transcript levels of SREBP1c, PPARγ, FAS, and ACC. However, the second pattern (SPC2) was associated with C/EBPα and LXR α mRNA expression. VPC1 was characterized by transcript levels of SREBP1c, FAS, and ACC. However, the VPC2 was characterized by transcript levels of C/EBPα, LXR α, and PPARγ. Pearson's correlation analysis showed that unlike SPC2, which disclosed an inverse correlation with body mass index, waist and hip circumference, waist to height ratio, visceral adiposity index, HOMA-IR, conicity index, lipid accumulation product, and weight-adjusted waist index, the VPC1 was positively correlated with above-mentioned obesity indices. This study provided valuable data on multiple patterns for adipogenic and lipogenic genes in adipose tissues in association with a variety of anthropometric indices in obese subjects predicting adipose tissue dysfunction and lipid accumulation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 21%
Student > Bachelor 2 14%
Professor > Associate Professor 1 7%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 6 43%
Readers by discipline Count As %
Nursing and Health Professions 3 21%
Unspecified 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2023.
All research outputs
#21,010,597
of 25,805,386 outputs
Outputs from BMC Endocrine Disorders
#615
of 880 outputs
Outputs of similar age
#308,915
of 413,883 outputs
Outputs of similar age from BMC Endocrine Disorders
#12
of 26 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 880 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 413,883 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.