Evidence map›Paper›PMID 27836672›Full record

ArticleBiochemical pharmacology2016

Transcription factor binding site enrichment analysis predicts drivers of altered gene expression in nonalcoholic steatohepatitis.

April D Lake, Alexandria L Chaput, Petr Novak, Nathan J Cherrington, Catharine L Smith

Open access · greenAbstract read
In one paragraph

Article in Biochemical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. World journal of gastroenterology · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Perturbation of Wnt/β-catenin signaling and sexual dimorphism in non-alcoholic fatty liver disease.Hepatology research : the official journal of the Japan Society of Hepatology · 2022
    Article
  6. mRNA-miRNA-lncRNA Regulatory Network in Nonalcoholic Fatty Liver Disease.International journal of molecular sciences · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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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 1 institution in 2 countries.

April D LakeDepartment of Pharmacology and Toxicology, University of Arizona, Tucson, AZ, United States.
Alexandria L ChaputDepartment of Pharmacology and Toxicology, University of Arizona, Tucson, AZ, United States.
Petr NovakDepartment of Pharmacology and Toxicology, University of Arizona, Tucson, AZ, United States; Biology Centre ASCR, Institute of Plant Molecular Biology, Branisovska 31, Ceske Budejovice CZ-37005, Czech Republic.
Nathan J CherringtonDepartment of Pharmacology and Toxicology, University of Arizona, Tucson, AZ, United States.
Catharine L SmithDepartment of Pharmacology and Toxicology, University of Arizona, Tucson, AZ, United States. Electronic address: csmith@pharmacy.arizona.edu.
University of Arizona · US

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
Training in Environmental Toxicology of Human DiseaseT32ES007091 · NIEHS · UNIVERSITY OF ARIZONA · PI Nathan J Cherrington · 1985 to 2026
$10.7M
Pediatric Adverse Drug Reactions in NASHR01HD062489 · NICHD · UNIVERSITY OF ARIZONA · PI CHERRINGTON, NATHAN J · 2011 to 2015
$1.6M
Drug Transport at the Blood-Testis BarrierR01AI083927 · NIAID · UNIVERSITY OF ARIZONA · PI CHERRINGTON, NATHAN J · 2010 to 2013
$1.5M
NCI NIH HHS P30 CA023074NIAID NIH HHS R01 AI083927NICHD NIH HHS R01 HD062489NIEHS NIH HHS P30 ES006694NIEHS NIH HHS T32 ES007091NLM NIH HHS HHSN267200700004CNLM NIH HHS HHSN267200700004G
6 · The paper itself

Abstract

The molecular mechanisms behind the transition from simple steatosis to nonalcoholic steatohepatitis (NASH) in nonalcoholic fatty liver disease (NAFLD) are not clearly understood. This hinders development of effective therapies for treatment and prevention of NASH. In this study expression profiling data from normal, steatosis, and NASH human livers were used to predict transcription factors that are misregulated as mechanistic features of NAFLD progression. Previously-published human NAFLD gene expression profiling data from normal, steatosis, and NASH livers were subjected to transcription factor binding site enrichment analysis. Selected transcription factors that bind enriched transcription factor binding sites were analyzed for changes in expression. Distinct transcription factor binding sites were enriched in genes significantly up- or down-regulated in NASH livers. Those enriched in up-regulated genes were bound by transcription factors such as FOXA, CEBP, and HNF1 family members, while those enriched in down-regulated genes were bound by nuclear receptors involved in xenobiotic sensing and lipid metabolism. Levels of mRNA and protein for selected transcription factors were significantly changed during disease progression. The study indicates that NAFLD progression involves changes in activity or expression of transcription factors that regulate genes involved in hepatic processes known to be altered in NASH. Transcription factors such as PPAR receptors, FoxA family members, and HNF4A might be targeted therapeutically to prevent NAFLD progression.

Indexed as

Binding SitesDisease ProgressionDown-RegulationGene Expression ProfilingGene Expression RegulationHumansNon-alcoholic Fatty Liver DiseaseProtein BindingTranscription FactorsUp-RegulationTranscription FactorsBioinformaticsGene expressionLiverMetabolismNonalcoholic steatohepatitisTranscription factor

Identifiers

PMID27836672
PMCPMC5129657
OpenAlexW2556661828

What OpenQuestion holds

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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.