HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

[Expression of energy metabolism-related genes in myocardial tissues of rats with diabetic cardiomyopathy].

AbstractOBJECTIVE:
To study the pathogenesis of diabetic cardiomyopathy using DNA microarray.
METHODS:
Experimental rats were grouped into a diabetic cardiomyopathy and a normal control group. The cDNA probes were prepared by labeling the mRNA extracted from normal tissue and tissue of diabetic cardiomyopathy with Cy3-dUTP and Cy5-dUTP respectively through reverse transcription. DNA microarray were constructed by spotting PCR products of 4 000 rat cDNAs onto a specially treated glass slides, and were then hybridized against the cDNA probes followed by fluorescent signals scanning.
RESULTS:
The expression of energy metabolism-related genes were lower in the tissues of diabetic cardiomyopathy than in normal tissue.
CONCLUSION:
The energy metabolism disorder may play an important role in the pathogenesis of diabetic cardiomyopathy.
AuthorsGang Chen, Li-Xiang Lin, Wei-Te Zhuang, Jin Yao, Ji-Xin Liang, Hui-Bin Huang, Fan Lin, Jian-Li Lin
JournalDi 1 jun yi da xue xue bao = Academic journal of the first medical college of PLA (Di Yi Jun Yi Da Xue Xue Bao) Vol. 22 Issue 11 Pg. 1009-10 (Nov 2002) ISSN: 1000-2588 [Print] China
PMID12433633 (Publication Type: English Abstract, Journal Article)
Topics
  • Animals
  • Cardiomyopathies (genetics, metabolism)
  • Diabetes Complications
  • Diabetes Mellitus (genetics, metabolism)
  • Disease Models, Animal
  • Energy Metabolism (genetics)
  • Gene Expression
  • Gene Expression Profiling
  • Male
  • Myocardium (metabolism)
  • Oligonucleotide Array Sequence Analysis
  • Rats
  • Rats, Sprague-Dawley

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: