Evidence map›Paper›PMID 33789150›Full record

ReviewThe Journal of nutritional biochemistry2021

The transcription factors CREBH, PPARa, and FOXO1 as critical hepatic mediators of diet-induced metabolic dysregulation.

Zhao Yang, Katherine Roth, Manisha Agarwal, Wanqing Liu, Michael C Petriello

Open access · greenAbstract readReview
In one paragraph

Review in The Journal of nutritional biochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Cgref1 is a CREB-H-regulated hepatokine that promotes hepaticInternational journal of biological sciences · 2025
    Article
  6. Article
  7. Article
  8. NOD1: a metabolic modulator.Frontiers in endocrinology · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
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 1 country.

Zhao YangInstitute of Environmental Health Sciences (IEHS), Wayne State University, Detroit, MI, USA.
Katherine RothInstitute of Environmental Health Sciences (IEHS), Wayne State University, Detroit, MI, USA.
Manisha AgarwalDepartment of Pharmacology, School of Medicine, Wayne State University, Detroit, MI, USA.
Wanqing LiuDepartment of Pharmacology, School of Medicine, Wayne State University, Detroit, MI, USA; Department of Pharmaceutical Sciences, College of Pharmacy, Wayne State University, Detroit, MI, USA.
Michael C PetrielloInstitute of Environmental Health Sciences (IEHS), Wayne State University, Detroit, MI, USA; Department of Pharmacology, School of Medicine, Wayne State University, Detroit, MI, USA. Electronic address: michael.petriello@wayne.edu.
Wayne State University · US

Funding

Pilot Project ProgramP30ES020957 · NIEHS · WAYNE STATE UNIVERSITY · PI RUDEN, DOUGLAS M · 2014 to 2021
$10.1M
Fatty Acid Desaturase 1 (FADS1) Variants and Non-alcoholic Fatty Liver DiseaseR01DK106540 · NIDDK · WAYNE STATE UNIVERSITY · PI LIU, WANQING · 2016 to 2020
$1.9M
TMAO is a biomarker of dioxin-like pollutant exposure and cardiometabolic diseaseR00ES028734 · NIEHS · WAYNE STATE UNIVERSITY · PI PETRIELLO, MICHAEL CURTIS · 2019 to 2021
$747k
NIDDK NIH HHS R01 DK106540NIEHS NIH HHS P30 ES020957NIEHS NIH HHS R00 ES028734
6 · The paper itself

Abstract

The liver is a critical mediator of lipid and/or glucose homeostasis and is a primary organ involved in dynamic changes during feeding and fasting. Additionally, hepatic-centric pathways are prone to dysregulation during pathophysiological states including metabolic syndrome (MetS) and non-alcoholic fatty liver disease. Omics platforms and GWAS have elucidated genes related to increased risk of developing MetS and related disorders, but mutations in these metabolism-related genes are rare and cannot fully explain the increasing prevalence of MetS-related pathologies worldwide. Complex interactions between diet, lifestyle, environmental factors, and genetic predisposition jointly determine inter-individual variability of disease risk. Given the complexity of these interactions, researchers have focused on master regulators of metabolic responses incorporating and mediating the impact of multiple environmental cues. Transcription factors are DNA binding, terminal executors of signaling pathways that modulate the cellular responses to complex metabolic stimuli and are related to the control of hepatic lipid and glucose homeostasis. Among numerous hepatic transcription factors involved in regulating metabolism, three emerge as key players in transducing nutrient sensing, which are dysregulated in MetS-related perturbations in both clinical and preclinical studies: cAMP Responsive Element Binding Protein 3 Like 3 (CREB3L3), Peroxisome Proliferator Activated Receptor Alpha (PPAR), and Forkhead Box O1 (FOXO1). Additionally, these three transcription factors appear to be amenable to dietary and/or nutrient-based therapies, being potential targets of nutritional therapy. In this review we aim to describe the activation, regulation, and impact of these transcription factors in the context of metabolic homeostasis. We also summarize their perspectives in MetS and nutritional therapies.

Indexed as

Energy MetabolismCyclic AMP Response Element-Binding ProteinDietForkhead Box Protein O1Gene Expression RegulationHumansPPAR alphaCyclic AMP Response Element-Binding ProteinForkhead Box Protein O1FOXO1 protein, humanPPAR alphaCREBHdiet induced obesityFOXO1Metabolic syndromeNAFLDPPAR

Identifiers

PMID33789150
PMCPMC8355060
OpenAlexW3141353144

What OpenQuestion holds

Textmetadata
LicenceTDM
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.