Evidence map›Paper›PMID 22560214›Full record

ArticleCell metabolism2012

Nuclear receptors reverse McGarry's vicious cycle to insulin resistance.

David D Moore

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Cell metabolism, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
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  9. Article
  10. Pleiotropic roles of FXR in liver and colorectal cancers.Molecular and cellular endocrinology · 2022
    Article
  11. Review
  12. Article
  13. Multi-Target Approaches in Metabolic Syndrome.Frontiers in pharmacology · 2020
    Review
  14. Review
  15. Review
  16. Review
  17. Article
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  19. Article
  20. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

David D MooreDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA. moore@bcm.edu
Baylor College of Medicine · US

Funding

Diabetes Endocrinology Research CenterP30DK079638 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI CHAN, LAWRENCE · 2008 to 2012
$6.4M
Metabolic Regulation by the Nuclear Receptor CARR01DK046546 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MOORE, DAVID D · 1995 to 2014
$4.9M
Functions of the Nuclear Receptor SHPR01DK068804 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI MOORE, DAVID D · 2005 to 2008
$1.8M
Function of the Nuclear Receptor LRH-1R01DK083572 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI MOORE, DAVID D · 2009 to 2010
$768k
NIDDK NIH HHS DK-079638NIDDK NIH HHS P30 DK079638NIDDK NIH HHS R01 DK046546NIDDK NIH HHS R01 DK068804NIDDK NIH HHS R01 DK083572NIDDK NIH HHS R01 DK085372
6 · The paper itself

Abstract

Several pathways and pathologies have been suggested as connections between obesity and diabetes, including inflammation of adipose and other tissues, toxic lipids, endoplasmic reticulum stress, and fatty liver. One specific proposal is that insulin resistance induces a vicious cycle in which hyperinsulinemia increases hepatic lipogenesis and exacerbates fatty liver, in turn further increasing insulin resistance. Here I suggest that reversing this cycle via suppression of the lipogenic transcription factor SREBP-1c is a common thread that connects the antidiabetic effects of a surprising number of nuclear hormone receptors, including CAR, LRH-1, TRβ, ERα, and FXR/SHP.

Indexed as

AnimalsDiabetes MellitusHumansInsulin ResistanceMiceObesityReceptors, Cytoplasmic and NuclearSterol Regulatory Element Binding Protein 1Receptors, Cytoplasmic and NuclearSterol Regulatory Element Binding Protein 1

Identifiers

PMID22560214
PMCPMC3613429
OpenAlexW2069169201

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.