Evidence map›Paper›PMID 22511885›Full record

ArticlePLoS genetics2012

Coordinate regulation of lipid metabolism by novel nuclear receptor partnerships.

Pranali P Pathare, Alex Lin, Karin E Bornfeldt, Stefan Taubert, Marc R Van Gilst

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

67 citing papers in PubMed, 105 citations in OpenAlex.

  1. Loss of the fatty acid β-oxidation genebioRxiv : the preprint server for biology · 2026
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  20. Review

7 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Pranali P PathareDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America. ppranali@gmail.com
Alex Lin
Karin E Bornfeldt
Stefan Taubert
Marc R Van Gilst
Fred Hutch Cancer Center · USUniversity of Washington · USChild and Family Research Institute · CA

Funding

Role of Serum Amyloid A in Diabetic Vascular DiseaseP01HL092969 · NHLBI · UNIVERSITY OF WASHINGTON · PI BORNFELDT, KARIN E. · 2008 to 2019
$23.5M
GENE REGULATION BY STEROID RECEPTOR PROTEINSR01CA020535 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAMAMOTO, KEITH ROBERT · 1985 to 2018
$8.9M
HYPERGLYCEMIA, PROTEIN KINASES AND SMOOTH MUSCLE GROWTHR01HL062887 · NHLBI · UNIVERSITY OF WASHINGTON · PI BORNFELDT, KARIN E. · 1998 to 2014
$4.7M
Starvation Mediated Longevity in C. elegans AdultsR01DK079273 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROTH, MARK B · 2009 to 2012
$1.3M
Genetic Discovery of New Regulators of Fatty Acid SynthesisR01DK085113 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOTTSCHLING, DANIEL E. · 2010 to 2012
$774k
GENE REGULATION BY STEROID RECEPTOR PROTEINSR37CA020535 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI YAMAMOTO, KEITH ROBERT · 1990 to 1998
–
NCI NIH HHS CA020535NCI NIH HHS R01 CA020535NCI NIH HHS R37 CA020535NHLBI NIH HHS HL062887NHLBI NIH HHS HL092969NHLBI NIH HHS P01 HL092969NHLBI NIH HHS R01 HL062887NIDDK NIH HHS DK079273NIDDK NIH HHS DK085113NIDDK NIH HHS R01 DK079273NIDDK NIH HHS R01 DK085113
6 · The paper itself

Abstract

Mammalian nuclear receptors broadly influence metabolic fitness and serve as popular targets for developing drugs to treat cardiovascular disease, obesity, and diabetes. However, the molecular mechanisms and regulatory pathways that govern lipid metabolism remain poorly understood. We previously found that the Caenorhabditis elegans nuclear hormone receptor NHR-49 regulates multiple genes in the fatty acid beta-oxidation and desaturation pathways. Here, we identify additional NHR-49 targets that include sphingolipid processing and lipid remodeling genes. We show that NHR-49 regulates distinct subsets of its target genes by partnering with at least two other distinct nuclear receptors. Gene expression profiles suggest that NHR-49 partners with NHR-66 to regulate sphingolipid and lipid remodeling genes and with NHR-80 to regulate genes involved in fatty acid desaturation. In addition, although we did not detect a direct physical interaction between NHR-49 and NHR-13, we demonstrate that NHR-13 also regulates genes involved in the desaturase pathway. Consistent with this, gene knockouts of these receptors display a host of phenotypes that reflect their gene expression profile. Our data suggest that NHR-80 and NHR-13's modulation of NHR-49 regulated fatty acid desaturase genes contribute to the shortened lifespan phenotype of nhr-49 deletion mutant animals. In addition, we observed that nhr-49 animals had significantly altered mitochondrial morphology and function, and that distinct aspects of this phenotype can be ascribed to defects in NHR-66- and NHR-80-mediated activities. Identification of NHR-49's binding partners facilitates a fine-scale dissection of its myriad regulatory roles in C. elegans. Our findings also provide further insights into the functions of the mammalian lipid-sensing nuclear receptors HNF4α and PPARα.

Indexed as

Caenorhabditis elegansLipid MetabolismAnimalsCaenorhabditis elegans ProteinsFatty Acid DesaturasesGene Expression ProfilingGene Knockout TechniquesGene Regulatory NetworksHumansMitochondriaProtein BindingReceptors, Cytoplasmic and NuclearSequence DeletionSignal TransductionSphingolipidsCaenorhabditis elegans ProteinsFatty Acid DesaturasesNHR-49 protein, C elegansNHR-80 protein, C elegansReceptors, Cytoplasmic and NuclearSphingolipids

Identifiers

PMID22511885
PMCPMC3325191
OpenAlexW1986525197

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.