Altered endogenous FA desaturation might contribute to mortality risk because we observed independent associations between desaturase activity indexes and mortality. The proportion of linoleic acid was inversely related, and FAs reflecting saturated fat intake were directly related to mortality.
Aims/hypothesis: Types of dietary fat have been related to components of the metabolic syndrome. Serum fatty acid composition mainly reflects dietary fat intake, but also endogenous fatty acid synthesis catalysed by Δ-desaturases. It is not known whether alterations of fatty acid composition or desaturase activities predict metabolic syndrome. Materials and methods: We prospectively evaluated fatty acid composition in serum cholesteryl esters and estimated desaturase activities in 1,558 50-year-old men taking part in a population-based cohort study. The follow-up time was 20 years. StearoylCoA desaturase (SCD-1), Δ6 (D6D) and Δ5 (D5D) desaturases were estimated as precursor to fatty acid ratios. Results: High activity of estimated SCD-1 (odds ratio= 1.29, p<0.05) and D6D (odds ratio=1.35, p<0.05), as well as low estimated D5D activity (odds ratio=0.71, p<0.001) predicted the development of metabolic syndrome (as defined by the National Cholesterol Education Program). The predictive value of D5D activity was independent of lifestyle factors (smoking, BMI and physical activity), whereas the risk associated with higher SCD-1 and D6D activities was mainly explained by obesity. Among those developing metabolic syndrome (119 out of 706) during follow-up, the proportions of fatty acids 14:0, 16:0, 16:1 (n−7), 18:1 (n−9), 18:3 (n−6) and 20:3 (n−6) were increased at baseline, while 18:2 (n−6) was decreased (p<0.05 for all). Conclusions/interpretation: Serum fatty acid composition predicts the long-term development of the metabolic syndrome, and D5D activity may be particularly important in this process. Our results suggest a role of dietary fat quality in the development of metabolic syndrome, but the possibility that altered fatty acid composition, partly secondary to genetic or hormonal factors, should also be considered.
Fatty acid composition of serum lipids and adipose tissue triacylglycerols (AT-TAG) partly reflect dietary fatty acid intake. The fatty acid composition is, besides the diet, also influenced by desaturating enzymes that can be estimated using product-to-precursor fatty acid ratios. The interrelationships between desaturase indices derived from different serum lipid fractions and adipose tissue are unclear, as well as their associations with obesity and insulin resistance. We aimed to investigate cross-sectional correlations between desaturase indices as measured in serum lipid fractions (phospholipids; PL and free fatty acids; FFA) and in adipose tissue (AT-TAG). In a population-based sample of 301 healthy 60-year-old men various desaturase indices were assessed: stearoyl-CoA-desaturase (16:1n-7/16:0; SCD-16 and 18:1n-9/18:0; SCD-18, respectively), delta-6-desaturase (20:3n-6/18:2n-6; D6D) and delta-5-desaturase (20:4n-6/20:3n-6; D5D). Correlations with BMI and insulin resistance (HOMA-IR) were also examined. SCD-16 and D5D were significantly correlated between fractions and tissues (all r > 0.30), whereas SCD-18 and D6D were not. Desaturase indices in serum FFA and AT-TAG were significantly correlated; SCD-16 (r = 0.63), SCD-18 (r = 0.37), and D5D (r = 0.43). In phospholipids, SCD-16 was positively correlated to BMI (r = 0.15), while D5D negatively to both BMI (r = -0.30) and HOMA-IR (r = -0.31), all p < 0.01. D6D in both phospholipids and AT-TAG was positively correlated to HOMA-IR and BMI (all p < 0.01). In conclusion, SCD-1 and D5D activity indices showed overall strong correlations between lipid pools. SCD-1 activity index in adipose tissue is best reflected by 16:1/16:0-ratio in serum FFA, but associations with obesity and insulin resistance differ between these pools. D5D in PL was inversely related to obesity and insulin resistance, whereas D6D index showed positive associations.
Adherence to a Mediterranean-like dietary pattern reduced mortality, whereas adherence to a CR dietary pattern appeared to increase mortality in elderly Swedish men, especially when only adequate dietary reporters were considered.
Milk fat biomarkers were associated with a lower risk of developing a first MI, especially in women. This was partly confirmed in analysis of fermented milk and cheese intake. Components of metabolic syndrome were observed as potential intermediates for the risk relations.
Milk fat is high in saturated fatty acids (SFA) and high intakes of SFA are associated with cardiovascular diseases. The aim of the present study was to prospectively evaluate the potential risk of a first-ever acute myocardial infarction (AMI) in relation to the estimated milk-fat intake, reflected as the proportions of pentadecanoic acid (15 : 0) and heptadecanoic acid (17 : 0) in serum lipid esters. This was evaluated in a study population selected within the Västerbotten Intervention Program and the northern Sweden 'Monitoring of Trends and Determinants in Cardiovascular disease' survey populations. A prospective case -control design was used. The proportions of the biomarkers were lower in the cases (n 78) than in the controls (n 156), who were matched for age, sex, sampling time and geographical region. The standardised odds ratios of becoming an AMI case were between 0·7 and 0·8 for the biomarkers. The proportions of 15 : 0 and 17 : 0 in serum phospholipids were significantly and negatively correlated to serum concentrations of plasminogen activator inhibitor-1, tissue-type plasminogen activator, triacylglycerols, insulin, specific insulin, pro-insulin and leptin (all P,0·0001), suggesting a negative relationship to the insulin-resistance syndrome and the risk of CHD. Adjustment for BMI did not materially change the relationships. Although there seems to be a negative association between milk-fat intake as mirrored by the proportions of 15 : 0 and 17 : 0 in serum lipid esters and a first-ever AMI, adjustment for clinical risk factors removed this relationship.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.