Multiple biomarkers and their relative contributions to identifying metabolic syndrome.
BACKGROUND
Several biological markers have been identified as risk factors for cardiovascular disease and are associated with increased risk of metabolic syndrome. We thus compared biomarkers and their association with metabolic syndrome.


METHODS
We measured the white blood cell count, high-sensitivity C-reactive protein, homeostasis model assessment of insulin resistance (HOMA-IR), homocysteine, cystatin C, gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT) and uric acid levels in 4624 adults without a medical history of cardiovascular disease. Metabolic syndrome was defined using criteria from the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and the International Diabetes Federation (IDF).


RESULTS
The HOMA-IR and GGT were most strongly correlated with metabolic syndrome. The area under the receiver operating characteristic curve was highest for the HOMA-IR (0.773, 95% CI: 0.755-0.791 [men]; 0.792, 95% CI: 0.775-0.808 [women]) and the GGT (0.687, 95% CI: 0.667-0.706 [men]; 0.721, 95% CI: 0.703-0.739 [women]) in AHA/NHLBI criteria. The best cut-off value of HOMA-IR and GGT for identifying metabolic syndrome was (1.22, 30 IU/l [men], 1.28, 15 IU/l [women]).


CONCLUSIONS
HOMA-IR and GGT are most strongly associated with metabolic syndrome, suggesting that theses biomarkers may contribute to identifying metabolic syndrome more than other factors.
Lee
Jeong Gyu
JG
Center for Obesity, Nutrition and Metabolism, Department of Family Medicine, Pusan National University Hospital, Busan, 602-739, South Korea.
Lee
Sangyeoup
S
Kim
Young Joo
YJ
Jin
Hong Ki
HK
Cho
Byung Mann
BM
Kim
Yun Jin
YJ
Jeong
Dong Wook
DW
Park
Hyun Ji
HJ
Kim
Ji Eun
JE
D000328:Adult; D000572:American Heart Association; D015415:Biomarkers / Q000097:blood; D005260:Female; D006801:Humans; D007390:International Agencies; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000175:diagnosis*; D008875:Middle Aged; D054555:National Heart, Lung, and Blood Institute (U.S.); D012372:ROC Curve; D012307:Risk Factors; D014481:United States
D015415:Biomarkers