Automated Author Profile

Stokes, Rebecca A.

Garvan Institute of Medical ResearchThe University of Sydney

Current S-Index

2.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.2

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: Hepatic Aryl hydrocarbon Receptor Nuclear Translocator (ARNT) regulates metabolism in mice (Version: 1)

Background & Aims: Aryl hydrocarbon Receptor Nuclear Translocator (ARNT) and its partners hypoxia-inducible factors (HIF)-1α and HIF-2α are candidate factors for the well-known link between the liver, metabolic dysfunction and elevation in circulating lipids and glucose. Methods: Hepatocyte-specific ARNT-null (LARNT), HIF-1α-null (LHIF1α) and HIF-2α-null (LHIF2α) mice were created. Results: LARNT mice had increased fasting glucose, impaired glucose tolerance, increased glucose production, raised post-prandial serum triglycerides (TG) and markedly lower hepatic ATP versus littermate controls. There was increased expression of G6Pase, Chrebp, Fas and Scd-1 mRNAs in LARNT animals. Surprisingly, LHIF1α and LHIF2α mice exhibited no alterations in any metabolic parameter assessed. Conclusions: These results provide convincing evidence that reduced hepatic ARNT can contribute to inappropriate hepatic glucose production and post-prandial dyslipidaemia. Hepatic ARNT may be a novel therapeutic target for improving post-prandial hypertriglyceridemia and glucose homeostasis.

Authors

  • Scott, Christopher H. ;
  • Cha, Kuan-Minn ;
  • Ngai, Jason ;
  • Jiang, Changtao ;
  • Cheng, Kim ;
  • Stokes, Rebecca A. ;
  • Ho, Kenneth W.K. ;
  • George, Jacob ;
  • Gonzalez, Frank J. ;
  • Gunton, Jenny E. ;
  • Ho, Kenneth W. K.
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.q3f2jNovember 2018