Evidence map›Paper›PMID 23813319›Full record

ArticleMolecules and cells2013

A nutrigenomic framework to identify time-resolving responses of hepatic genes in diet-induced obese mice.

Hyoung-Sam Heo, Eunjung Kim, Seon-Min Jeon, Eun-Young Kwon, Su-Kyung Shin, Hyojung Paik, Cheol-Goo Hur, Myung-Sook Choi

Abstract read
In one paragraph

Article in Molecules and cells, 2013. 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
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

Hyoung-Sam HeoGreen Bio Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 305-806, Korea.
Eunjung Kim
Seon-Min Jeon
Eun-Young Kwon
Su-Kyung Shin
Hyojung Paik
Cheol-Goo Hur
Myung-Sook Choi
Kyungpook National University · KRKorea Research Institute of Bioscience and Biotechnology · KRKorea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and its related complications have emerged as global health problems; however, the pathophysiological mechanism of obesity is still not fully understood. In this study, C57BL/6J mice were fed a normal (ND) or high-fat diet (HFD) for 0, 2, 4, 6, 8, 12, 20, and 24 weeks and the time course was systemically analyzed specifically for the hepatic transcriptome profile. Genes that were differentially expressed in the HFD-fed mice were clustered into 49 clusters and further classified into 8 different expression patterns: long-term up-regulated (pattern 1), long-term downregulated (pattern 2), early up-regulated (pattern 3), early down-regulated (pattern 4), late up-regulated (pattern 5), late down-regulated (pattern 6), early up-regulated and late down-regulated (pattern 7), and early down-regulated and late up-regulated (pattern 8) HFD-responsive genes. Within each pattern, genes related with inflammation, insulin resistance, and lipid metabolism were extracted, and then, a protein-protein interaction network was generated. The pattern specific sub-network was as follows: pattern 1, cellular assembly and organization, and immunological disease, pattern 2, lipid metabolism, pattern 3, gene expression and inflammatory response, pattern 4, cell signaling, pattern 5, lipid metabolism, molecular transport, and small molecule biochemistry, pattern 6, protein synthesis and cell-to cell signaling and interaction and pattern 7, cell-to cell signaling, cellular growth and proliferation, and cell death. For pattern 8, no significant sub-networks were identified. Taken together, this suggests that genes involved in regulating gene expression and inflammatory response are up-regulated whereas genes involved in lipid metabolism and protein synthesis are down-regulated during diet-induced obesity development.

Indexed as

Diet, High-FatGene Expression RegulationNutrigenomicsAnimalsCluster AnalysisDown-RegulationGene Expression ProfilingGene Regulatory NetworksInflammationInsulin ResistanceLipid MetabolismLiverMaleMiceMice, Inbred C57BLMice, ObeseRNA, Messenger

Identifiers

PMID23813319
PMCPMC3887924
OpenAlexW1964640098

What OpenQuestion holds

Textmetadata
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.