title: Serum sialic acid in a random sample of the general population.
abstract: BACKGROUND
  The serum sialic acid (SA) concentration has been reported to be a potentially useful but nonspecific disease marker. We wanted to study which factors influence SA concentration in a well-characterized healthy population.
  
  
  METHODS
  SA was determined in 97 women and 96 men with a colorimetric Warren method.
  
  
  RESULTS
  The mean +/- SD concentrations of SA were 634 +/- 109 (95% confidence interval, 612-656) and 630 +/- 106 (95% confidence interval, 608-651) mg/L for women and men, respectively. The serum SA showed a significant positive association with body mass index and with systolic and diastolic blood pressure among both women and men. SA also correlated significantly with the use of contraceptive pills and age among women and with smoking among men.
  
  
  CONCLUSIONS
  Our study suggests that SA does not increase with age in men but appears to increase with female menopause. The strong positive association with blood pressure may explain why SA predicts cardiovascular mortality.
authors.affiliation: Pharmacia & Upjohn Diagnostics AB, Alcohol Related Diseases, SE-112 87 Uppsala, Sweden.
authors.forename: M
authors.initials: M
authors.lastname: Pönniö
authors.forename: H
authors.initials: H
authors.lastname: Alho
authors.forename: S T
authors.initials: ST
authors.lastname: Nikkari
authors.forename: U
authors.initials: U
authors.lastname: Olsson
authors.forename: U
authors.initials: U
authors.lastname: Rydberg
authors.forename: P
authors.initials: P
authors.lastname: Sillanaukee
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D015415:Biomarkers / Q000097:blood; D001794:Blood Pressure; D015992:Body Mass Index; D003124:Colorimetry; D003270:Contraceptive Agents / Q000008:administration & dosage; D005260:Female; D006728:Hormones / Q000097:blood; D006801:Humans; D008297:Male; D008875:Middle Aged; D019158:N-Acetylneuraminic Acid / Q000097:blood*; D009391:Nephelometry and Turbidimetry; D011897:Random Allocation; D012016:Reference Values; D012044:Regression Analysis; D012737:Sex Factors; D012907:Smoking / Q000378:metabolism
chemical_list: D015415:Biomarkers; D003270:Contraceptive Agents; D006728:Hormones; D019158:N-Acetylneuraminic Acid