title: The correlation between the telomeric parameters and the clinical laboratory data in the patients with brain infarct and metabolic disorders.
abstract: OBJECTIVE
  To elucidate the correlation between the telomere length and subtelomeric methylated status in peripheral leukocytes and the laboratory data of inpatients with brain infarction and metabolic disorders. This is the first report describing a link between routine clinical laboratory data and genomic aging.
  
  
  METHODS
  Cross-sectional population-based study.
  
  
  METHODS
  Chronic disease ward of Kyushu University Hospital at Beppu in Japan.
  
  
  METHODS
  Inpatients with brain infarction and metabolic disorders.
  
  
  METHODS
  The laboratory data of male patients were collected and the telomeric parameters in their peripheral leukocytes were determined by a Southern blot analysis with methylation-sensitive and insensitive isoschizomers. Any correlations between the laboratory data and the telomeric parameters were assessed.
  
  
  RESULTS
  The patients revealed a significant correlation among the fasting blood sugar, HbA1c, serum creatinine and urea nitrogen levels with the mean telomere length, expression of long telomeres ( > 9.4 kb), or the subtelomeric hypermethylation status of long telomeres.
  
  
  CONCLUSIONS
  Our results suggested that the hyperglycemia and renal function of patients with metabolic disorders correlated positively with the aging-associated telomeric changes.
authors.affiliation: Division of Molecular and Clinical Gerontology, Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, Oita, Japan. maedat@beppu.kyushu-u.ac.jp
authors.forename: T
authors.initials: T
authors.lastname: Maeda
authors.forename: J-I
authors.initials: JI
authors.lastname: Oyama
authors.forename: Y
authors.initials: Y
authors.lastname: Higuchi
authors.forename: T
authors.initials: T
authors.lastname: Arima
authors.forename: K
authors.initials: K
authors.lastname: Mimori
authors.forename: N
authors.initials: N
authors.lastname: Makino
mesh_terms: D000368:Aged; D001786:Blood Glucose / Q000378:metabolism; D001806:Blood Urea Nitrogen; D020520:Brain Infarction / Q000150:complications / Q000378:metabolism*; D016922:Cellular Senescence; D003404:Creatinine / Q000097:blood; D003430:Cross-Sectional Studies; D019175:DNA Methylation; D006442:Glycated Hemoglobin / Q000378:metabolism; D006801:Humans; D006943:Hyperglycemia / Q000378:metabolism*; D007668:Kidney / Q000378:metabolism*; D007962:Leukocytes / Q000378:metabolism* / Q000648:ultrastructure; D008297:Male; D008659:Metabolic Diseases / Q000150:complications / Q000378:metabolism*; D008875:Middle Aged; D016615:Telomere / Q000378:metabolism* / Q000648:ultrastructure
chemical_list: D001786:Blood Glucose; D003404:Creatinine; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human