Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 260

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Activation of nuclear receptor CAR ameliorates diabetes and fatty liver disease

Open access
Dong, Bingning, Saha, Pradip K., Huang, Wendong, Chen, Wenling, Abu-Elheiga, Lutfi A., Wakil, Salih J., Stevens, Robert D., Ilkayeva, Olga, Newgard, Christopher B., Chan, Lawrence, Moore, David D.·2009·Proceedings of the National Academy of Sciences

Abstract

Constitutive androstane receptor CAR (NR1I3) has been identified as a central mediator of coordinate responses to xenobiotic and endobiotic stress. Here we use leptin-deficient mice (ob/ob) and ob/ob, CAR −/− double mutant mice to identify a metabolic role of CAR in type 2 diabetes. Activation of CAR significantly reduces serum glucose levels and improves glucose tolerance and insulin sensitivity. Gene expression analyses and hyperinsulinemic euglycemic clamp results suggest that CAR activation ameliorates hyperglycemia by suppressing glucose production and stimulating glucose uptake and usage in the liver. In addition, CAR activation dramatically improves fatty liver by both inhibition of hepatic lipogenesis and induction of β-oxidation. We conclude that CAR activation improves type 2 diabetes, and that these actions of CAR suggest therapeutic approaches to the disease.

Overview

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.0909731106

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 5 references

Cited by

Metadata

Authors
Dong, B., Saha, P. K., Huang, W., Chen, W., Abu-Elheiga, L. A., Wakil, S. J., Stevens, R. D., Ilkayeva, O., Newgard, C. B., Chan, L., & Moore, D. D.
Venue
Proceedings of the National Academy of Sciences
Published
2009-11-03
Volume
106
Issue
44
Pages
18831-18836
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2060802146
Cited by
260
References
5
FWCI
6.48
Type
journal article
Language
en
Open access
green

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.