Cited by 365Peroxisome Proliferator-Activated ReceptorsAdipose Tissue and MetabolismMetabolism, Diabetes, and Cancer

PPARγ coactivator 1β/ERR ligand 1 is an ERR protein ligand, whose expression induces a high-energy expenditure and antagonizes obesity.

Open access
Kamei, Yasutomi, Ohizumi, Hiroshi, Fujitani, Yasushi, Nemoto, Tomoyuki, Tanaka, Toshiya, Takahashi, Nobuyuki, Kawada, Teruo, Miyoshi, Masamitsu +2 more·2003·Proceedings of the National Academy of Sciences

Abstract

A well balanced body energy budget controlled by limitation of calorie uptake and/or increment of energy expenditure, which is typically achieved by proper physical exercise, is most effective against obesity and diabetes mellitus. Recently, peroxisome proliferator-activated receptor (PPAR) gamma, a member of the nuclear receptor, and its cofactors have been shown to be involved in lipid metabolism and in the control of energy expenditure. Here we show that PPARgamma coactivator 1 (PGC-1) beta functions as ERRL1 (for ERR ligand 1), which can bind and activate orphan ERRs (estrogen receptor-related receptors) in vitro. Consistently, PGC-1beta/ERRL1 transgenic mice exhibit increased expression of the medium-chain acyl CoA dehydrogenase, a known ERR target and a pivotal enzyme of mitochondrial beta-oxidation in skeletal muscle. As a result, the PGC-1beta/ERRL1 mice show a state similar to an athlete; namely, the mice are hyperphagic and of elevated energy expenditure and are resistant to obesity induced by a high-fat diet or by a genetic abnormality. These results demonstrate that PGC-1beta/ERRL1 can function as a protein ligand of ERR, and that its level contributes to the control of energy balance in vivo, and provide a strategy for developing novel antiobesity drugs.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.2135217100

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • PGC-1α and PGC-1β coactivate different nuclear receptors.

    “In addition, PGC-1␣ and PGC-1␤ coactivate different nuclear receptors (272).”
  • Modest overexpression of PGC-1α and transgenic overexpression of PGC-1β increase oxidative metabolism and insulin sensitivity.

    “Taken together, these studies suggest that modest overexpression of PGC-1␣ (261, 262) and transgenic overexpression of PGC-1␤ (271, 272) increase oxidative metabolism and insulin sensitivity.”
  • Whole-body transgenic overexpression of PGC-1β resulted in increased oxidative metabolism, protection from obesity induced by high-fat diet or hyperphagia, and enhanced insulin sensitivity.

    “Consistent with these findings, whole-body transgenic overexpression of PGC-1␤ resulted in increased oxidative metabolism, protection from obesity induced by high-fat diet or hyperphagia, and enhanced insulin sensitivity (272).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kamei, Y., Ohizumi, H., Fujitani, Y., Nemoto, T., Tanaka, T., Takahashi, N., Kawada, T., Miyoshi, M., Ezaki, O., & Kakizuka, A.
Affiliations
Kyoto University (JP)
Corresponding author
Kakizuka, Akira
Venue
Proceedings of the National Academy of Sciences
Published
2003-10-06
Volume
100
Issue
21
Pages
12378-12383
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1965989272
Cited by
357
References
26
Citations by year
2026: 3 · 2025: 8 · 2024: 11 · 2023: 8 · 2022: 6 · 2021: 12 · 2020: 11 · 2019: 12 · 2018: 14 · 2017: 10 · 2016: 9 · 2015: 16 · 2014: 11 · 2013: 15 · 2012: 16
FWCI
8.04
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
  • Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
Keywords
PGC-1β, orphan nuclear receptor, protein ligands, energy expenditure, obesity resistance, high-fat diet, medium-chain acyl-CoA dehydrogenase, mitochondrial beta-oxidation, skeletal muscle, hyperphagia, energy balance, anti-obesity drugs
MeSH terms
ERRalpha Estrogen-Related Receptor, Amino Acid Sequence, Animals, Base Sequence, DNA, Energy Metabolism, Ligands, Mice, Transgenic, Molecular Sequence Data, Obesity, Receptors, Estrogen, Recombinant Proteins, Transcription Factors, Gene Expression, Receptors, Cytoplasmic and Nuclear, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review