Skip to main navigation Skip to search Skip to main content

Study on gout-specific local gene network and its relationship with nutrient metabolism modules

  • Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Gout has a high onset rate in coastal regions, and the interaction between gout susceptibility genes and (coastal) diet is needed to study. A molecular linkage between gout-specific local gene network (LGN) and nutrient metabolism modules was constructed based on a local gene network approach, which reveals a complex relationship between gout-specific-LGN and metabolic modules of nucleotide metabolism, lipid metabolism, amino acid metabolism, carbohydrate metabolism, cofactor and vitamin metabolism. Interestingly, nucleotide metabolism modules do link more gout genes than other metabolism modules, providing a primary technological platform to study the impact of diet on gout onset and to develop preventive personalized nutrition regimen.

Original languageEnglish
Title of host publication2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings
Pages7886-7889
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Nanjing, China
Duration: 24 Jun 201126 Jun 2011

Publication series

Name2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Conference

Conference2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011
Country/TerritoryChina
CityNanjing
Period24/06/1126/06/11

Keywords

  • Gout
  • Local gene network (LGN)
  • Nutrient metabolism modules

Fingerprint

Dive into the research topics of 'Study on gout-specific local gene network and its relationship with nutrient metabolism modules'. Together they form a unique fingerprint.

Cite this