Evidence map›Paper›PMID 23736358›Full record

ArticleInternational journal of obesity (2005)2014

Identification of optimal reference genes for RT-qPCR in the rat hypothalamus and intestine for the study of obesity.

B Li, E K Matter, H T Hoppert, B E Grayson, R J Seeley, D A Sandoval

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  15. Use of the REVERTMolecular and cellular endocrinology · 2018
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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 at 1 institution in 1 country.

B LiDepartment of Internal Medicine, Division of Endocrinology University of Cincinnati College of Medicine, Cincinnati, OH, USA.
E K MatterDepartment of Internal Medicine, Division of Endocrinology University of Cincinnati College of Medicine, Cincinnati, OH, USA.
H T HoppertDepartment of Internal Medicine, Division of Endocrinology University of Cincinnati College of Medicine, Cincinnati, OH, USA.
B E GraysonDepartment of Internal Medicine, Division of Endocrinology University of Cincinnati College of Medicine, Cincinnati, OH, USA.
R J SeeleyDepartment of Internal Medicine, Division of Endocrinology University of Cincinnati College of Medicine, Cincinnati, OH, USA.
D A SandovalDepartment of Internal Medicine, Division of Endocrinology University of Cincinnati College of Medicine, Cincinnati, OH, USA.
University of Cincinnati Medical Center · US

Funding

Dissecting mechanisms of GLP-1 based therapies for Type II DiabetesR01DK093848 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEELEY, RANDY J · 2012 to 2015
$1.5M
NIDDK NIH HHS R01 DK093848
6 · The paper itself

Abstract

backgroundObesity has a complicated metabolic pathology, and defining the underlying mechanisms of obesity requires integrative studies with molecular end points. Real-time quantitative PCR (RT-qPCR) is a powerful tool that has been widely utilized. However, the importance of using carefully validated reference genes in RT-qPCR seems to have been overlooked in obesity-related research. The objective of this study was to select a set of reference genes with stable expressions to be used for RT-qPCR normalization in rats under fasted vs re-fed and chow vs high-fat diet (HFD) conditions.

designMale long-Evans rats were treated under four conditions: chow/fasted, chow/re-fed, HFD/fasted and HFD/re-fed. Expression stabilities of 13 candidate reference genes were evaluated in the rat hypothalamus, duodenum, jejunum and ileum using the ReFinder software program. The optimal number of reference genes needed for RT-qPCR analyses was determined using geNorm.

resultsUsing geNorm analysis, we found that it was sufficient to use the two most stably expressed genes as references in RT-qPCR analyses for each tissue under specific experimental conditions. B2M and RPLP0 in the hypothalamus, RPS18 and HMBS in the duodenum, RPLP2 and RPLP0 in the jejunum and RPS18 and YWHAZ in the ileum were the most suitable pairs for a normalization study when the four aforementioned experimental conditions were considered.

conclusionsOur study demonstrates that gene expression levels of reference genes commonly used in obesity-related studies, such as ACTB or RPS18, are altered by changes in acute or chronic energy status. These findings underline the importance of using reference genes that are stable in expression across experimental conditions when studying the rat hypothalamus and intestine, because these tissues have an integral role in the regulation of energy homeostasis. It is our hope that this study will raise awareness among obesity researchers on the essential need for reference gene validation in gene expression studies.

Indexed as

AnimalsDiet, High-FatFastingGene Expression ProfilingGenetic MarkersHypothalamusIntestinal MucosaMaleObesityRatsRats, Long-EvansReal-Time Polymerase Chain ReactionRibosomal ProteinsGenetic MarkersRibosomal Proteinsribosomal protein S18

Identifiers

PMID23736358
PMCPMC3925437
OpenAlexW2030076281

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.