title: Association between remnant-like particle cholesterol and gamma-glutamyltransferase in dyslipidemic patients.
abstract: OBJECTIVE
  To investigate the correlation between gamma-glutamyltransferase (GGT) and remnant-like particle cholesterol (RLP-C) in dyslipidemic patients.
  
  
  METHODS
  General cardiometabolic variables, plus serum GGT and RLP-C levels, were measured in 118 dyslipidemic patients (59 males, mean age 58 ± 13 years). Correlation analyses of GGT with other variables, including RLP-C, were performed.
  
  
  RESULTS
  The median levels (interquartile ranges) of RLP-C and GGT were 0.21 mmol/l (0.14-0.35) and 26 IU/l (17-39), respectively. A stepwise multiple regression analysis revealed an independent, significant and positive correlation between GGT and RLP-C (β = 0.351, p < 0.001), followed by male gender and BMI.
  
  
  CONCLUSIONS
  There was a significant positive association between GGT and RLP-C, thereby indicating that the association between GGT and cardiovascular disease may be partly due to the interaction with RLP-C in dyslipidemic patients. Further research is therefore warranted to confirm the observed relationship.
authors.affiliation: Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan. kazukotani@jichi.ac.jp
authors.forename: Kazuhiko
authors.initials: K
authors.lastname: Kotani
authors.forename: Naoki
authors.initials: N
authors.lastname: Sakane
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002784:Cholesterol / Q000097:blood*; D050171:Dyslipidemias / Q000097:blood*; D005260:Female; D006801:Humans; D008074:Lipoproteins / Q000097:blood*; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D018709:Statistics, Nonparametric; D014280:Triglycerides / Q000097:blood*; D005723:gamma-Glutamyltransferase / Q000097:blood*
chemical_list: D008074:Lipoproteins; D014280:Triglycerides; C112017:remnant-like particle cholesterol; D002784:Cholesterol; D005723:gamma-Glutamyltransferase