Evidence map›Paper›PMID 32323762›Full record

ArticleMolecular medicine reports2020

Pilot study and bioinformatics analysis of differentially expressed genes in adipose tissues of rats with excess dietary intake.

Jun Chao Yuan, Thaneswary Yogarajah, Shern Kwok Lim, Get Bee Yvonne Tee, Boon Yin Khoo

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Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Jun Chao YuanDepartment of Endocrinology, The First People's Hospital of Yunnan Province, Kunming, Yunnan 650032, P.R. China.
Thaneswary YogarajahInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Penang 11800, Malaysia.
Shern Kwok LimInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Penang 11800, Malaysia.
Get Bee Yvonne TeeSchool of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan 16150, Malaysia.
Boon Yin KhooInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Penang 11800, Malaysia.
Universiti Sains Malaysia · MYFirst People's Hospital of Yunnan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive adipose tissue accumulation is an increasing health problem worldwide. The present study aimed to determine differentially expressed genes (DEGs) that are associated with the excessive accumulation of adipose tissues by PCR arrays in an excess dietary intake animal model. For this purpose, male Sprague Dawley rats were randomly assigned to 2 groups: Control (given an ordinary diet) and experimental (given twice the amount of the ordinary diet). After 2 months of feeding, the abdominal cavities of the rats from each group were opened, then subcutaneous and visceral adipose tissues were removed. The adipose tissues collected were then used for total RNA extraction and then reverse transcribed to cDNA, which was then used as a template to identify the DEGs of 84 transcripts for rat obesity by RT2 Profiler PCR Arrays. The results showed significant downregulation of bombesin‑like receptor 3 (BRS3) and uncoupling protein 1 (UCP1) in visceral adipose tissues of experimental rats compared with those of the control rats, and differential gene expression analysis showed an association with fat cell differentiation and regulation of triglyceride sequestration, as well as fatty acid binding. The gene expression patterns observed in the present study, which may be associated with peroxisome proliferator‑activated receptor‑γ (PPARG) on excessive visceral adipose tissue accumulation, may be useful in identifying a group of surrogate biomarkers for the early diet‑induced accumulation of visceral adipose tissue detection in humans. The biomarkers can also be the specific targets for drug development to reduce excessive visceral adipose tissue accumulation in the body and its associated diseases.

Indexed as

Adipose TissueAnimalsCell DifferentiationComputational BiologyDietFatty AcidsGene Expression RegulationGene OntologyHumansIntra-Abdominal FatMCF-7 CellsMicroarray AnalysisMultigene FamilyObesityPilot ProjectsPolymerase Chain Reactionbombesin receptor subtype 3Fatty AcidsPPAR gammaPPAR gamma, ratReceptors, BombesinTriglyceridesUcp1 protein, ratUncoupling Protein 1animal modeldifferentially expressed geneexcess dietary intakeexcessive adipose tissue accumulationPcr arraysvisceral adipose tissue

Identifiers

PMID32323762
PMCPMC7115215
OpenAlexW3010147903

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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.