Limited Effect of Dietary Saturated Fat on Plasma Saturated Fat in the Context of a Low Carbohydrate Diet - PDF Document

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  1. Lipids (2010) 45:947–962 DOI 10.1007/s11745-010-3467-3 ORIGINAL ARTICLE Limited Effect of Dietary Saturated Fat on Plasma Saturated Fat in the Context of a Low Carbohydrate Diet Cassandra E. Forsythe•Stephen D. Phinney•Richard D. Feinman•Brittanie M. Volk• Daniel Freidenreich•Erin Quann•Kevin Ballard•Michael J. Puglisi•Carl M. Maresh• William J. Kraemer•Douglas M. Bibus•Maria Luz Fernandez•Jeff S. Volek Received: 6 January 2010/Accepted: 22 August 2010/Published online: 7 September 2010 ? AOCS 2010 Abstract hydrate restricted diet (CRD) had two striking effects: (1) a reduction in plasma saturated fatty acids (SFA) despite higher intake than a low fat diet, and (2) a decrease in inflammation despite a significant increase in arachidonic acid (ARA). Here we extend these findings in 8 weight stable men who were fed two 6-week CRD (12%en car- bohydrate) varying in quality of fat. One CRD emphasized SFA (CRD-SFA, 86 g/d SFA) and the other, unsaturated fat (CRD-UFA, 47 g SFA/d). All foods were provided to subjects. Both CRD decreased serum triacylglycerol (TAG) and insulin, and increased LDL-C particle size. The CRD- UFA significantly decreased plasma TAG SFA (27.48 ± 2.89 mol%) compared to baseline (31.06 ± 4.26 mol%). Plasma TAG SFA, however, remained unchanged in the We recently showed that a hypocaloric carbo- CRD-SFA (33.14 ± 3.49 mol%) despite a doubling in SFA intake. Both CRD significantly reduced plasma palmitoleic acid (16:1n-7) indicating decreased de novo lipogenesis. CRD-SFA significantly increased plasma phospholipid ARA content, while CRD-UFA significantly increased EPA and DHA. Urine 8-iso PGF2a, a free radical-catalyzed product of ARA, was significantly lower than baseline following CRD-UFA (-32%). There was a significant inverse correlation between changes in urine 8-iso PGF2a and PL ARA on both CRD (r = -0.82 CRD-SFA; r = -0.62 CRD-UFA). These findings are consistent with the concept that dietary saturated fat is efficiently metabolized in the presence of low carbohydrate, and that a CRD results in better preservation of plasma ARA. Keywords Palmitoleic acid ? Plasma fatty acid composition ? Ketogenic diet ? Omega-3 eggs ? Metabolic syndrome ? Insulin sensitivity ? Controlled human feeding study ? EPA ? DHA ? LDL/HDL ratio Saturated fat ? Palmitic acid ? C. E. Forsythe ? B. M. Volk ? D. Freidenreich ? E. Quann ? K. Ballard ? M. J. Puglisi ? C. M. Maresh ? W. J. Kraemer ? J. S. Volek (&) Department of Kinesiology, University of Connecticut, 2095 Hillside Road, Unit 1110, Storrs, CT 06269-1110, USA e-mail: jeff.volek@uconn.edu Abbreviations ALA ARA BMI CRD CVD CE D6D DHA EPA FM hs-CRP HOMA-IR a-Linoleic acid Arachidonic acid Body mass index Carbohydrate restricted diet Cardiovascular disease Cholesteryl ester Delta-6-desaturase Docosahexaenoic acid Eicosapentaenoic acid Fat mass High sensitivity C-reactive protein Homeostasis model assessment insulin resistance index M. J. Puglisi ? M. L. Fernandez Department of Nutritional Science, University of Connecticut, Storrs, CT, USA R. D. Feinman Department of Cell Biology, SUNY Downstate Medical Center, Brooklyn, NY, USA S. D. Phinney School of Medicine (Emeritus), University of California, Davis, Davis, CA, USA D. M. Bibus University of Minnesota and Lipid Technologies, LLC, Austin, MN, USA 123

  2. 948 Lipids (2010) 45:947–962 but were lower in carbohydrate than standard intakes [11, 12]. The other remarkable finding in our previous investi- gation was a significant decrease in inflammatory markers despite a marked increase in plasma arachidonic acid (ARA) [7]. The metabolic intermediates in the production of ARA were decreased suggesting that synthesis was not increased. We proposed rather that the increase was due to better preservation of ARA. This idea was supported indirectly by the observation of significant reductions in several inflammatory cytokines that were also inversely correlated with changes in ARA. The ratio of n-6 to n-3 highly unsaturated fatty acids in phospholipids (PL) has received significant attention due to their conversion to eicosanoids of different biologic effects. The n-6 ARA (20:4n-6) more readily promotes inflammation when converted enzymatically or non-enzymatically to pro- inflammatory eicosanoids and F2-isoprostanes [13, 14], whereas an increase in membrane eicosapentaenoic acid (EPA; 20:5n-3), an n-3 PUFA has anti-inflammatory effects and decreases risk of cardiovascular disease [15, 16]. Increasing ARA in membranes, however, does not inevitably lead to greater inflammation and may in fact have the opposite effect [15, 17]. The proinflammatory effects of ARA are due to metabolites produced sub- sequent to its release from membranes rather than the proportion of the intact fatty acid. Enzymatic metabolism of free ARA results in production of eicosanoids, and free radical-induced peroxidation of ARA results in the for- mation of isoprostanes. Measurement of isoprostanes is considered an accurate marker of oxidative stress, but it also represents a unique non-enzymatic degradation product of ARA [18]. Here, we extend the findings of our previous study by assessing plasma fatty acid composition responses in men who participated in two 6-week weight maintenance CRD feeding periods varying only in fatty acid composition. One CRD was designed to be high in SFA (emphasizing dairy fat and eggs), and the other was designed to be lower in saturated fat and consequently higher in unsat- urated fat from both polyunsaturated (PUFA) and mono- unsaturated (MUFA) fatty acids (emphasizing fish, nuts, omega-3 enriched eggs, and olive oil). The objectives were to: (1) establish whether the disconnect between dietary and plasma SFA levels persists under isocaloric conditions, (2) determine if a weight stable CRD increa- ses plasma ARA and the association with inflammatory markers and isoprostanes, and (3) determine whether an increase in dietary EPA and docosahexaenoic acid (DHA; 22:6n-3) on a CRD mitigates the increase in plasma ARA and its association with inflammatory markers and isoprostanes. IL LA MCP-1 MUFA MI NA %en PUFA TAG PL ROS RDA SFA TNF-a Interleukin Linoleic acid Monocyte chemotactic protein-1 Monounsaturated fatty acids Myocardial infarction Not available Percent total energy Polyunsaturated fatty acids Triacylglycerol Phospholipid Reactive oxygen species Recommended daily allowance Saturated fatty acids Tumor necrosis factor-a Introduction The rationale for using carbohydrate-restricted diets (CRD) in an experimental setting is that dietary carbohydrate is the major stimulus of the glucose-insulin axis which, in turn has profound effects on several metabolic processes. The shift away from an anabolic state leads to an increase in fat oxidation thereby altering lipoprotein metabolism and cardio-metabolic profile [1]. Low carbohydrate diets consistently decrease fasting and postprandial plasma tri- acylglycerol (TAG), increase HDL-cholesterol (HDL-C), lower plasma insulin, and improve insulin sensitivity [2]. While LDL-cholesterol (LDL-C) responses are more vari- able, there is a consistent shift from small to larger particles [3]. These responses to carbohydrate restriction have been shown to occur in isocaloric experiments [4–6] indicating that the effects are not solely due to weight loss. In our previous study of overweight men and women consuming a hypocaloric CRD, one of the most striking responses was a significantly greater reduction in plasma SFA levels in response to a CRD compared to a low fat diet, despite a threefold greater presence of dietary SFA in the carbohydrate-reduced diet [7]. Control of lipid metab- olism, particularly SFA availability, is of current interest because of a recent meta-analysis showing that dietary SFA is not a risk factor for cardiovascular disease [8] and the indication that replacement by carbohydrate, in particular, may increase risk [9]. The extent to which plasma SFA reflects dietary saturated fat consumption is not clear-cut and is significantly affected by the presence of carbohy- drate [3, 7]. Cassady et al. [10], for example, found that plasma palmitic and stearic acids did not depend on the saturated fat content of two different CRD. Two other studies reported lower plasma levels of SFA in response to diets that contained two to threefold greater intake of SFA 123

  3. Lipids (2010) 45:947–962 949 Experimental Procedures Dietary energy for each subject was prescribed to maintain body weight, estimated using the Harris-Benedict equation and multiplied by an activity factor from 1.2 to 1.55 depending on individual activity level. This was averaged with their caloric intake during their baseline dietary intake and run-in CRD period. Composition of the experimental diets was developed using nutrient analysis software consisting of normal foods that differed only in the relative amount of saturated and unsaturated fatty acids, but were matched for food type, energy, total fat, dietary fiber, trans fat, and cholesterol (Food Processor 7.71, ESHA Research, Salem, OR). Validation of the daily nutrient composition was confirmed by chemical analysis (Covance Inc, Princeton, NJ). Table 1 shows the average nutrient intake for 3 days of the 7-day rotational menu via chemical analysis. A daily multi-vitamin and mineral Study Participants Eight men,aged 38–58 yearsold,with BMIof25–35 kg/m2 participated in this controlled dietary intervention. Medical history, family history, and dietary intake from a 3 day diet record were collected at baseline. Exclusion criteria were abnormal glucose levels, hypercholesterolemia, a diagnosis of Type I or II diabetes, liver or other metabolic orendocrinedysfunction,hypertension,oruseofcholesterol or diabetic medications. Subjects were also excluded if they were taking any supplements known to affect serum lipoprotein levels (i.e. fish oil, niacin, psyllium fiber) or inflammation (i.e. aspirin). Subjects were not excluded if they were already following a CRD, but were excluded if they were trying to lose weight or had a body mass that changed ±3 kg in the last 3 months. Subjects were asked to maintain their same activity level during the experimental period (verified by activity records) and sedentary individ- uals were not allowed to start a new exercise program in order to account for possible confounding effects on the dependant variables. Table 1 Nutritional analysis of habitual and experimental diets Nutrient Baseline CRD-SFA CRD-UFA Energy (kcal/d) 2,072 ± 498 2,513 ± 214 2,513 ± 214 Protein (%) 24.6 ± 7.3 28.5 ± 2.7 29.8 ± 1.5 Protein (g) 128.3 ± 45 179.1 ± 15 187.2 ± 15 Carbohydrates (%) 34.2 ± 18 13.4 ± 2.6 12.3 ± 2.5 Study Design and Dietary Intervention Carbohydrates (g) 174.2 ± 99 84.9 ± 7.1 77.3 ± 6.6 Fiber (g) 12.4 ± 5.1 19.2 ± 4.8 18.5 ± 1.2 In a randomized, cross-over, controlled design, an isoca- loric carbohydrate restricted high saturated fat diet (CRD- SFA) was compared to a CRD higher in unsaturated fat (CRD-UFA). Each dietary feeding period was 6 weeks in duration, based on previous research showing that the fatty acid composition of plasma PL stabilizes within 4–6 weeks of dietary change [19] and blood lipids stabilize within 6 weeks of a CRD [20]. Three weeks prior to starting each of the 6 week dietary feeding periods, all subjects were counseled to consume a run-in free-living weight-main- taining CRD (*10%en from carbohydrate, 65%en from fat, and 25%en from protein), using standardized proce- dures from our research laboratory. The purpose of this run-in period was to: aide in determining an appropriate energy level to maintain body weight; standardize subject’s physiologic state before each diet; and initiate metabolic adaptations to carbohydrate restriction. Urinary ketones were monitored throughout the entire CRD run-in period and intervention using reagent strips (Bayer Corporation, Elkart, IN) to ensure compliance and to assure the presence of nutritional ketosis. After the run-in period, subjects were randomized to one of two dietary arms as described above. Following the 6 week feeding period, subjects returned to their individual baseline diet for 4 weeks. Once washed out, they returned to the same run-in CRD for another 3 weeks, and then crossed over to the next 6 week con- trolled CRD feeding arm. Fat (%) 41.3 ± 12.0 58.6 ± 3.7 57.9 ± 3.9 Fat (g) 94.1 ± 35.0 163.6 ± 11.9 161.3 ± 7.5 SFA (%) 17.2 ± 5.0 30.8 ± 4.3 17.0 ± 2.0 SFA (g) 39.8 ± 11.9 85.6 ± 6.9 47.2 ± 2.8 14:0 NA 9.45 ± 2.4 4.02 ± 1.8 16:0 (g) NA 46.1 ± 3.4 23.2 ± 4.9 18:0 (g) NA 22.9 ± 1.9 13.1 ± 2.1 MUFA (%) 16.4 ± 5.8 20.9 ± 0.8 24.7 ± 3.1 MUFA (g) 37.0 ± 13.4 58.1 ± 2.1 68.6 ± 8.7 18:1 (g) NA 56.6 ± 1.4 64.3 ± 6.9 PUFA (%) 7.4 ± 2.4 4.5 ± 0.3 14.7 ± 3.0 PUFA (g) 16.3 ± 6.5 12.4 ± 1.9 40.8 ± 8.1 n-3 PUFA (%) NA 0.6 ± 0.1 2.9 ± 0.3 n-6 PUFA (%) NA 3.8 ± 0.8 10.8 ± 2.0 18:2n-6 (g) NA 9.9 ± 2.6 27.9 ± 6.3 18:3n-3 (g) NA 1.2 ± 0.3 7.5 ± 1.4 20:4n-6 (g) NA 0.5 ± 0.1 0.5 ± 0.2 20:5n-3 (g) NA 0.2 ± 0.0 0.6 ± 0.2 22:6n-3 (g) NA 0.2 ± 0.1 0.9 ± 0.1 Trans fatty acids (g) 1.7 ± 1.9 2.4 ± 0.3 1.4 ± 0.1 Cholesterol (mg) 426.4 ± 267.4 854 ± 97.3 849 ± 41.9 Values are mean percentages of total energy ± SD. NA data not available from habitual diet records. Habitual diets calculated from baseline 3-day food records of each participant. Habitual diets ana- lyzed by Food Processor, ESHA Research, Salem, OR. Experimental diets analyzed by Covance Laboratories, Inc, Princeton, NJ 123

  4. 950 Lipids (2010) 45:947–962 calculated as Glucose (mmol/l) Insulin (lIU/ml/22.5)]. The 75th percentile cut-off value for insulin resistance in non-diabetic individuals has been determined to corre- spond to a value of 2.29 [17]. Lipoprotein particle size of LDL-C was determined in serum using non-gradient polyacrylamide gel electrophoresis (Lipoprint LDL Sys- tem, Quantimetrix Co., Redondo Beach, CA) as previously described [21]. Serum total ketone bodies were determined by a cyclic enzymatic method that measures both aceto- acetate (AcAc) and 3-hydroxybutyrate (3-HB) (Wako Chemicals USA Inc, Richmond, VA). Absorbance was read at a wavelength of 404 nm on a microplate reader (Versa Max Molecular Devices Corp. Sunnyvale, CA, USA) and analyzed with associated SoftMax Pro software (CV 4.2%). Serum IL-6, IL-8, MCP-1, TNF-a, and leptin were measured using xMAP?technology on a Luminex? IS 200 system with antibodies to these analytes from LINCO Research (St. Charles, MO). Assays were com- pleted in duplicate according to manufacturer’s instruc- tions (IL-6 CV 12.7%, IL-8 CV 10.4%, MCP-1 CV 7.3%, TNF-a CV 9.7%, Leptin CV 10.2%). High Sensitivity C-reactive protein (hs-CRP) was determined in serum on an IMMULITE Automated Analyzer using the commercially available immulite chemiluminescent enzyme immuno- metric assay (Immulite?, Diagnostic Products Corp., Los Angeles, CA, USA). A 24-h urine collection was performed at baseline and post-dietary intervention. A 10-ml aliquot of urine was stored at -75 ?C for subsequent analysis of F2-Isoprostane (8-iso PGF2a) concentrations. All samples were analyzed in triplicate using column extraction followed by an ACETM Competitive Enzyme Immunoassay with 8-Isoprostane enzyme-linked immunosorbent assay (EIA) kit (Cayman Chemicals, Ann Arbor, MI). Briefly, 2 ml frozen thawed urine was purified through an 8-Isoprostane Affinity Col- umn (Caymen Chemicals), washed with column buffer and ultra pure water, and eluted with ethanol:water (95:5). Elution was dried with nitrogen; the volume of the dried sample was brought to 2 ml with enzyme immunoassay buffer in a 1:10 dilution. Absorbance was read at 420 nm and data was analyzed with a log-logit curve fit (CV 5.7%). The results were expressed relative to creatinine concen- trations determined using Jaffe’s colorimetric method (Cayman Chemicals) read at an absorbance of 490 nm (CV 3.2%). supplement at levels C100% of the RDA was also given to subjects and consumed throughout the entire intervention to ensure adequate micronutrient status. In each 6-week feeding period, all food and beverages were provided for subjects in a 7-day rotational menu, and no other foods or beverages were allowed, unless they were calorie-free or very-low-calorie (i.e., tea, water, diet soda). Predominant foods in the CRD-SFA were high-fat dairy (cream, butter, cheese, and low-carbohydrate milk), eggs, meat, poultry, and white fish, and a few low omega-3 nuts and seeds (such as almonds). In the CRD-UFA, predomi- nant foods were liquid omega-3 PUFA eggs (Egg Cre- ations, Burnbrae Farms Ltd, ON, Canada. Containing EPA, DPA and DHA), hard shell omega-3 eggs (high in ALA and DHA), salmon, sardines, meat, poultry, olive oil, canola oil, low-fat low-carbohydrate dairy, walnuts, and seeds. Subjects picked up prepared, packaged food every Monday, Wednesday and Friday. All take-out food con- tainers were returned unwashed and inspected to ensure that all food and fat had been consumed. Anthropometrics Body weight was measured weekly in the morning before food consumption and maintained within ±2 kg during the dietary intervention. Adjustments in caloric intake were made to maintain body weight within these parameters. Body composition was measured by dual-energy X-ray absorptiometry (Prodigy, Lunar Corporation, Madison, WI) at baseline, and at the start and end of each diet feeding intervention. Analyses were performed by the same blinded technician. Blood Collection and Analysis Blood samples were obtained at baseline, pre-dietary intervention and post-dietary intervention for both feeding periods. The sample was obtained from an arm vein after subjects rested quietly for 10 min in the supine position. Whole blood was collected into tubes with no preservative or EDTA and centrifuged at 1,5009g for 15 min and 4 ?C, and promptly aliquoted into separate storage tubes which were stored at -75 ?C until analyzed. A portion of serum (*3 ml) was immediately sent to a certified medical lab- oratory (Quest Diagnostics, Wallingford, CT) for deter- mination of total cholesterol (TC), HDL-C, TAG, and calculated LDL-C concentrations using automated enzy- matic procedures (Olympus America Inc., Melville, NY). Glucose and insulin concentrations were analyzed in serum in duplicate (YSI 2300 STAT, Yellow Springs, OH, CV 0.5%) and radioimmunoassay (Diagnostic Systems Laboratory, Webster, TX, CV 4.3%), respectively, and used to calculate an index of insulin resistance [HOMA-IR; Fatty Acid Composition Plasma was shipped on dry ice to Lipid Technologies LLC (Austin, MN) and analyzed for plasma fatty acid compo- sition in circulating PL, TAG and CE using capillary gas chromatography as previously described [7]. Lipids were extracted according to the method of Bligh/Dyer whereby 123

  5. Lipids (2010) 45:947–962 951 Results mixtures of plasma, methanol, chloroform and water were prepared such that lipid is recovered in a chloroform layer. The resulting lipid extracts were maintained under an atmosphere of nitrogen following extraction and kept fro- zen prior to additional processing. Immediately prior to lipid class separation, lipid samples were dried under a gentle stream of nitrogen, rediluted in 50 ll of chloroform and prepared for lipid class separation. Lipid classes were separated on commercial silica gel G plates (AnalTech, Newark, DE). The chromatographic plates were developed in a solvent system consisting of distilled petroleum ether (b.p.30–60 ?C): diethyl ether: acetic acid (80:20:1, by vol). Following development, the silica gel plates were sprayed with a methanolic solution containing 0.5% 2,7-dichloro- fluorescein which was then used to visualize lipid classes under ultraviolet light. Desired corresponding lipid bands were then scraped into Teflon-lined screw cap tubes. The samples were then transesterified with boron trifluoride (10%) in excess methanol (Supelco, Bellefonte, PA) in an 80 ?C water bath for 90 min. Resulting fatty acid methyl esters were extracted with water and petroleum ether and stored frozen until gas chromatographic analysis was performed. Lipid class fatty acid methyl ester composition was determined by capillary gas chromatography. Methyl ester samples were blown to dryness under nitrogen and resus- pended in hexane. Resulting fatty acid methyl esters were separated and quantified with a Shimadzu capillary gas chromatograph (GC17) utilizing a 30 m Restek free fatty acid phase (FFAP) coating and EZChrom software. The instrument temperature was programmed from 190 to 240? at 7 ?C/min with a final hold of 10 min, separating and measuring fatty acid methyl esters ranging from 12:0 to 24:1. The detector temperature was 250 ?C. Helium carrier gas was used at a flow rate of 1.4 ml/min. and a split ratio of 1:25. Chromatographic data was collected and processed with EZChrom software (Scientific Products, CA). Fatty acids were identified by comparison to authentic fatty acid standards and quantitated with peak area and internal standard. Individual peaks, representing as little as 0.05% of the fatty acid methyl esters, were distinguished. Fatty acid data are expressed in relative (mol%) and absolute (nmol/ml) terms. Dietary Intake Nutrient intake estimated at baseline from dietary records showed a lower than expected energy, 2,072 kcal/d com- pared to 2,513 kcal/d for the feeding periods. This was likely due to under-reporting at baseline (Table 1) [22] although it has been argued that the demands of gluco- neogenesis and other processes require more energy for weight maintenance [23]. Habitual carbohydrate intake was also lower than the average American diet at 32%en reflecting two subjects who were habitually consuming a lower-carbohydrate diet. Both CRD were well tolerated and compliance was excellent as assessed by verbal feed- back and inspection of returned food containers throughout the intervention. There was no consistent preference for one diet treatment over the other by subjects. Briefly, the main difference between the two low carbohydrate diets was in the relative amount of SFA, MUFA, PUFA (CRD- SFA = 31, 21, and 5%; CRD-UFA = 17, 25, and 15%). Although the CRD-UFA contained higher amounts of both n-6 and n-3 PUFA, the ratio of n-6/n-3 PUFA was lower in the CRD-UFA. Other nutrients, including cholesterol, were matched with the exception of (naturally occurring) trans fatty acids which were inherently higher on the CRD-SFA diet due to the higher intake of high-fat dairy. Compared to baseline, the CRD-SFA diet provided more than twice as much dietary SFA (86 vs. 40 g) while in the CRD-UFA, intake of SFA was 47 grams. Compared to baseline, the CRD-UFA provided more total PUFA (41 vs. 16 g), n-3 PUFA (3%en vs. 0.7%en), and n-6 PUFA (11%en vs. 7%en). Cholesterol intake in both diets was about twofold higher than baseline intake. Body Weight and Composition Body fat percentage and body mass of subjects after the two experimental diets were not significantly different from baseline.Asmall,butsignificant(P\0.05)decreaseinbody mass (difference: 0.94 ± 0.13 kg) occurred following the CRD-UFA diet compared to the CRD-SFA diet (Table 2). Blood Markers Statistics Blood lipid, metabolic, and inflammatory markers are presented in Table 2. Serum ketones were moderately elevated as a result of carbohydrate restriction. Fasting plasma TC and LDL-C were variable but were higher on average following CRD-SFA compared to CRD-UFA. The increase in HDL-C following CRD-SFA (14%) and CRD- UFA (8%) from baseline resulted in no significant change in the TC/HDL or LDL/HDL ratios. ANOVA with repeated measures was used to evaluate changes from baseline across diets. Data that was not normally distributed was log transformed. Significant main effects were further analyzed using a Tukey post hoc test. Differences between values following CRD-SFA and CRD-UFA were evaluated using paired student’s t test. The alpha level for significance was\0.05. 123

  6. 952 Lipids (2010) 45:947–962 Table 2 Body composition and blood marker responses of subjects at baseline and following the two low carbohydrate diets Characteristic Baseline CRD-SFA CRD-UFA ANOVA Age (year) BMI (kg/m2) 45 ± 7.9 29.3 ± 3.7? 93.1 ± 13.8? 26.8 ± 5.7£ 30.0 ± 4.0 29.6 ± 3.7 0.190 Body weight (kg) 95.4 ± 13.5 94.1 ± 13.7 26.8 ± 5.7£ 0.180 Body fat (%) 28.4 ± 6.5 0.075 Fat mass (kg) 26.6 ± 9.0 25.0 ± 7.8 24.5 ± 7.9 0.175 Lean body mass (kg) 65.2 ± 7.4 65.6 ± 7.7 65.2 ± 8.0 192.9 ± 27.5? 125.1 ± 29.1? 0.600 Total cholesterol (mg/dl) 191.0 ± 32.6 215.6 ± 46.5 0.145 LDL-C (mg/dl) 118 ± 29.8 144.1 ± 42.9 0.119 HDL-C (mg/dl) 47.8 ± 10.4 54.5 ± 12.0 51.6 ± 9.4 0.080 TAG (mg/dl) 122.0 ± 55.9 85.1 ± 34.3* 80.4 ± 17.5* 0.047 Total cholesterol/HDL-C 4.1 ± 1.0 4.1 ± 1.1 3.9 ± 0.9 0.467 LDL/HDL 2.6 ± 0.8 2.7 ± 0.9 2.5 ± 0.8 0.526 TAG/HDL-C 2.8 ± 1.9 1.7 ± 0.9* 1.6 ± 0.6* 0.041 LDL mean size (nm) 270.1 ± 3.8 273.4 ± 2.6* 279.0 ± 4.8£ 273.3 ± 1.58* 0.023 LDL peak size (nm) 274.3 ± 6.3 279.8 ± 2.6* 0.031 Glucose (mmol/l) 5.96 ± 0.4 6.14 ± 0.5 6.12 ± 0.4 0.443 Insulin (pmol/l) 52.5 ± 32.5 41.6 ± 14.0 40.2 ± 15.7 0.256 HOMA-IR Ketones (lmol/l) Leptin (ng/ml) 2.0 ± 1.2 1.6 ± 0.5 1.6 ± 0.6 0.383 Values are means ± SD 106 ± 42 200 ± 130 267 ± 155* 0.020 HOMA-IR homeostasis model assessment insulin resistance index * P\0.05 from baseline based on repeated measures ANOVA and Tukey post hoc ?P\0.05 from CRD-SFA diet (dependent t test) 11.6 ± 6.5 8.7 ± 5.2 7.6 ± 3.5 0.062 hs-CRP (mg/dl) 2.7 ± 2.3 1.8 ± 0.9 2.7 ± 1.8 0.509 IL-6 (pg/ml) 1.3 ± 1.1 0.9 ± 0.9 1.1 ± 1.2 0.065 IL-8 (pg/ml) TNF-a (pg/ml) MCP-1 (pg/ml) 1.7 ± 0.6 1.5 ± 0.9 1.9 ± 1.1 0.333 3.8 ± 1.5 3.4 ± 1.4 3.6 ± 1.6 0.531 251 ± 81 234 ± 94 269 ± 123 0.670 8-iso PGF2a(pg/mg creatinine) 629 ± 262 524 ± 146 425 ± 61 0.053 £P\0.08 from baseline P = 0.018). After the CRD-UFA, all 8 subjects had lower urine 8-iso PGF2athan baseline and 7 out of 8 had lower concentrations compared to the CRD-SFA. Consistent with numerous studies on CRD even in the absence of weight loss, a dramatic decrease in plasma TAG was seen. TAG fell from baseline by 39% after the CRD- SFA and by 34% on the CRD-UFA. There was also a decrease in TAG/HDL ratio for both the CRD-SFA (-39%) and CRD-UFA (-43%). LDL mean and peak particle size following the two diets were both significantly higher than baseline. Blood glucose, insulin, and HOMA-IR were not sig- nificantly different from baseline or between diets. Using 2.29 as the cut-off point to define insulin resistance [21], two subjects were insulin resistant (HOMA-IR = 3.06 and 5.53) at baseline. HOMA-IR values were \2.29 for both subjects after the CRD-UFA and for one of the insulin resistant subjects after the CRD-SFA. There were no significant differences in any of the serum inflammatory markers (hs-CRP, IL-6, IL-8, TNF-a, MCP-1, leptin) between the two interventions. Compared tobaseline levels of urinary 8-iso PGF2a (629 ± 262 pg/Creatinine mg), concentrations were reduced by 17% after the CRD-SFA (524 ± 146 pg/Creatinine mg; P = 0.253) and by 32% after the CRD-UFA (425 ± 61 pg/Creatinine mg; Plasma Saturated and Monounsaturated Fatty Acids The major changes in plasma SFA and MUFA were in the plasma TAG fraction. The mol% of total SFA in TAG was significantly lower following CRD-UFA compared to CRD-SFA (Table 3). At the same time, the effect was less than might be expected given the nearly two-fold differ- ence in dietary saturated fat suggesting that the reduction in carbohydrate was the major determinant; there was, in fact, no difference in total SFA in TAG between baseline and CRD-SFA. The lower total SFA after the CRD-UFA was mainly attributed to a decrease in 16:0, the predominant SFA in plasma TAG although, again, the magnitude of the effect was small. Compared to baseline, 16:1n-7 mol% in plasma TAG was significantly lower following both CRD, but not different between CRD. A comprehensive list of fatty acids from TAG, PL and CE fractions is provided in Table 3. 123

  7. Lipids (2010) 45:947–962 953 Plasma Polyunsaturated Fatty Acids our many previous investigations) resulted in a significant increase in plasma ARA without an accompanying increase in inflammation or oxidative stress, (3) a weight mainte- nance CRD higher in unsaturated fat (CRD-UFA) includ- ing EPA and DHA (CRD-UFA) prevented the increase in plasma ARA while increasing plasma EPA and DHA content and significantly decreasing urine 8-iso PGF2a, a degradation breakdown product of ARA, and, (4) the changes in plasma ARA and urine 8-iso PGF2a were inversely correlated on both CRD independent of fat composition supporting and strengthening our hypothesis of less catabolism of ARA (i.e., better preservation of ARA) on a CRD. The major changes in plasma PUFA were in the PL frac- tion. There were distinct differences between the CRD in plasma PL long chain n-6 and n-3 PUFA (Table 3). Compared to baseline, all subjects had an increase in 20:4n-6 after the CRD-SFA, and those values were higher than 20:4n-6 after the CRD-UFA in all but one subject. Interestingly, despite an increase in 20:4n-6 in response to the CRD-SFA the immediate precursor 20:3n-6 was not increased and was in fact lower than baseline. Total n-3 PUFA was significantly higher following the CRD-UFA than baseline and CRD-SFA values primarily due to greater increases in 20:5n-3 (EPA) and 22:6n-3 (DHA). The PL n-6/n-3 ratio (calculated as the sum of all n-6 PUFA divided by the sum of all n-3 PUFA), was signifi- cantly lower following CRD-UFA than CRD-SFA and baseline. Compared to baseline, the ARA/EPA ratio was significantly increased after the CRD-SFA whereas it was decreased after the CRD-UFA. Compared to baseline the ARA/EPA ratio was decreased after the CRD-UFA in all subjects, and it was higher during the CRD-SFA than the CRD-UFA in all subjects. Intuitively, one might presume an increase in PL ARA would result in a corresponding increase in 8-iso PGF2a, yet we observed the opposite. There was a significant inverse correlation between changes in urine 8-iso PGF2a and PL ARA on both low carbohydrate diets (r = -0.82 CRD-SFA, P = 0.007; r = -0.62 CRD-UFA, P = 0.05) indicating that those subjects who showed greater increases in plasma ARA had greater reductions in 8-iso PGF2a. Saturated Fat The most striking finding was the lack of association between dietary SFA intake and plasma SFA concentra- tions. Compared to baseline, a doubling of saturated fat intake on the CRD-SFA did not increase plasma SFA in any of the lipid fractions, and when saturated fat was only moderately increased on the CRD-UFA, the proportion of SFA in plasma TAG was reduced from 31.06% to 27.48 mol%. Since plasma TAG was also reduced, the total SFA concentration in plasma TAG was decreased by 47% after the CRD-UFA, similar to the 57% decrease we observed in overweight men and women after 12 week of a hypocaloric CRD [7]. These results can best be explained by the metabolic adaptations induced by carbohydrate restriction [1], notably less stimulation of insulin. Lower insulin levels result in increased lipolysis and fatty acid oxidation while simultaneously decreasing activity of key enzymes in de novo lipogenesis. From a mechanistic standpoint, restriction in dietary carbohydrate is the dom- inant dietary manipulation that accelerates fat mobilization and oxidation [26]. The lipid fraction most responsive to carbohydrate restriction was TAG. Higher incorporation of SFA into VLDL TAG is correlated with insulin resistance and adiposity [27], probably reflecting accelerated hepatic de novo lipogenesis. Plasma TAG transports the greatest amount of fatty acids that are actively involved in energy exchange. Therefore a decrease in plasma SFA, from reduced hepatic fatty acid synthesis or increased beta- oxidation, may attenuate atherogenic cell-signaling even in the presence of higher dietary SFA. The limited change in SFA in PL may be due to lower turnover in this fraction (the sn-1 position almost always carries a SFA), or to the short duration of this study. Previous studies have shown that increased plasma PL and CE SFA levels predict development of cardiovascular disease (CVD) [28, 29]. The presence of palmitoleic acid (16:1n-7) is an indi- cator of de novo fatty acid synthesis [30] since the com- pound is limited in the diet. Both isocaloric CRD feeding Discussion Dietary saturated fat has been the focus of nutritional recommendations since the 1970 study of Ancel Keys [24]. Current recommendations are as low as 7% [25] although the subject has always generated some controversy. The biologic effect of dietary SFA is presumed to rest with its effect on plasma SFA and other lipid fractions but a number of reports in the literature suggest that this needs to be experimentally established [7, 11, 12]. In the current study, we used a controlled-feeding design to examine responses in plasma fatty acids, lipoproteins, isoprostanes and inflammatory markers in men who switched from their habitual diet to a CRD either high in SFA (CRD-SFA) or unsaturated fat (CRD-UFA) including eggs with long chain n-3 PUFA. The primary findings were that: (1) there is limited effect of dietary SFA on plasma SFA in the context of a weight maintenance low carbohydrate diet, (2) a weight maintenance CRD high in SFA (representing the typical nutrient composition of CRD we have studied in 123

  8. 954 Lipids (2010) 45:947–962 Table 3 Plasma TAG, PL and CE fatty acid responses at baseline and following the two low carbohydrate diets Baseline CRD-SFA CRD-UFA ANOVA TAG (nmol/ml) SFA 14:0 66.5 ± 48.3 32.8 ± 15.7 23.9 ± 10.1* 0.023 15:0 10.5 ± 5.3 7.8 ± 3.5 6.4 ± 1.8 0.090 16:0 915.8 ± 585.7 540.8 ± 157.9 482.1 ± 167.8* 0.036 18:0 126.0 ± 72.9 98.3 ± 32.8 83.5 ± 21.3 0.216 20:0 1.8 ± 0.6 1.4 ± 0.5 1.4 ± 0.3 0.222 22:0 0.9 ± 0.7 0.6 ± 0.9 0.9 ± 0.7 0.711 24:0 1.1 ± 0.7 1.1 ± 0.6 1.7 ± 1.5 0.392 Total SFA 1122 ± 707 683 ± 203 600 ± 200* 0.043 MUFA 14:1 3.9 ± 5.3 1.7 ± 2.0 0.1 ± 0.3 0.105 15:1 1.4 ± 0.6 1.0 ± 0.3 1.1 ± 0.6 0.280 16:1 147.4 ± 113.7 55.9 ± 20.1* 58.4 ± 25.1* 0.014 17:1 9.7 ± 5.9 6.7 ± 2.8 6.3 ± 2.7 0.132 18:1n9 1233.6 ± 562.6 772.8 ± 203.7* 821 ± 271.8* 0.018 20:1n7 4.5 ± 3.4 2.9 ± 2.3 1.6 ± 1.6 0.085 20:1n9 7.7 ± 2.6 5.8 ± 1.7 7.6 ± 3.3 0.177 22:1n9 2.7 ± 1.6 2.2 ± 1.6 2.4 ± 1.5 0.731 24:1 0.0 ± 0.0 0.1 ± 0.3 0.6 ± 1.2 – Total MUFA 1411 ± 687 849 ± 227* 899 ± 302* 0.017 PUFA 39.0 ± 21.0? 18:3n3 37.8 ± 16.6 16.8 ± 7.9* 0.014 18:4n3 5.6 ± 4.4 3.6 ± 2.5 3.7 ± 3.2 0.283 20:3n3 0.7 ± 0.8 0.2 ± 0.3 0.3 ± 0.5 0.245 20:4n3 1.5 ± 1.6 0.8 ± 0.9 1.3 ± 1.8 0.548 20:5n3 8.9 ± 5.7 4.2 ± 2.5 32.7 ± 49.6 0.148 22:5n3 12.9 ± 7.5 7.7 ± 3.1 15.9 ± 10.6 0.111 22:6n3 15.2 ± 6.7 12.2 ± 6.9 53.6 ± 75.1 0.128 18:2n6 712.0 ± 330.7 382.9 ± 146.7* 469.1 ± 170.9* 0.007 18:3n6 16.4 ± 10.1 8.5 ± 7.4 5.6 ± 2.1* 0.026 20:2n6 6.2 ± 3.6 3.1 ± 1.1* 2.7 ± 1.1* 0.007 20:3n6 10.3 ± 6.6 4.8 ± 2.0* 3.6 ± 1.6* 0.009 20:4n6 43.4 ± 14.3 40.0 ± 15.4 34.1 ± 15.0 0.169 22:4n6 4.7 ± 2.2 3.6 ± 1.7 1.9 ± 0.7* 0.005 22:5n6 2.7 ± 1.3 2.9 ± 1.5 2.0 ± 1.6 1.4 ± 0.4? 0.150 20:3n9 2.4 ± 0.9 2.8 ± 1.5 0.009 Total PUFA 881 ± 377 494 ± 189* 667 ± 307 0.010 Total n3 82.6 ± 21.0 45.4 ± 19.9 46.5 ± 151.9 0.087 Total n6 796 ± 362 455 ± 170* 519 ± 186* 5.1 ± 2.2*,? 2.3 ± 1.6? 0.008 n6/n3 9.5 ± 3.2 10.3 ± 2.3 0.003 AA/EPA 6.6 ± 3.8 10.5 ± 3.2 0.001 TAG (mol%) SFA 14:0 1.75 ± 0.59 1.55 ± 0.45 1.09 ± 0.26* 0.018 15:0 0.31 ± 0.06 0.37 ± 0.10 0.30 ± 0.07 21.99 ± 2.39? 3.92 ± 0.59? 0.074 16:0 25.22 ± 3.72 26.20 ± 2.09 0.023 18:0 3.65 ± 0.78 4.86 ± 1.24* 0.008 123

  9. Lipids (2010) 45:947–962 955 Table 3 continued Baseline CRD-SFA CRD-UFA ANOVA 20:0 0.06 ± 0.02 0.07 ± 0.03 0.07 ± 0.02 0.605 22:0 0.03 ± 0.03 0.03 ± 0.04 0.04 ± 0.02 0.624 24:0 0.04 ± 0.04 0.06 ± 0.04 0.07 ± 0.04 27.48 ± 2.89? 0.570 Total SFA 31.06 ± 4.26 33.14 ± 3.49 0.022 MUFA 14:1 0.08 ± 0.09 0.07 ± 0.07 0.00 ± 0.01 0.057 15:1 0.04 ± 0.03 0.05 ± 0.02 0.06 ± 0.04 0.553 16:1 3.78 ± 1.22 2.66 ± 0.36* 2.59 ± 0.37* 0.006 17:1 0.27 ± 0.04 0.32 ± 0.07 0.28 ± 0.05 0.167 18:1n9 36.15 ± 2.77 37.41 ± 1.89 37.40 ± 2.98 0.512 20:1n7 0.12 ± 0.06 0.14 ± 0.08 0.06 ± 0.06 0.095 20:1n9 0.25 ± 0.07 0.29 ± 0.09 0.34 ± 0.07 0.068 22:1n9 0.10 ± 0.07 0.12 ± 0.10 0.12 ± 0.08 0.360 24:1 0.00 ± 0.00 0.01 ± 0.02 0.02 ± 0.04 – Total MUFA 40.79 ± 2.60 41.07 ± 1.66 40.89 ± 2.97 0.971 PUFA 1.70 ± 0.45*,? 18:3n3 1.12 ± 0.22 0.79 ± 0.22 0.000 18:4n3 0.17 ± 0.09 0.17 ± 0.12 0.16 ± 0.09 0.913 20:3n3 0.02 ± 0.03 0.01 ± 0.01 0.01 ± 0.02 0.555 20:4n3 0.04 ± 0.06 0.04 ± 0.04 0.06 ± 0.09 0.800 20:5n3 0.36 ± 0.38 0.20 ± 0.08 1.25 ± 1.40 0.058 22:5n3 0.49 ± 0.49 0.36 ± 0.10 0.69 ± 0.25 0.116 22:6n3 0.57 ± 0.47 0.55 ± 0.20 2.07 ± 2.07 0.040 18:2n6 20.97 ± 3.17 18.19 ± 4.15 21.41 ± 2.48 0.139 18:3n6 0.46 ± 0.14 0.39 ± 0.28 0.25 ± 0.05 0.065 20:2n6 0.18 ± 0.04 0.15 ± 0.03 0.12 ± 0.03 0.051 20:3n6 0.28 ± 0.06 0.23 ± 0.05 0.16 ± 0.05* 0.005 20:4n6 1.40 ± 0.44 1.87 ± 0.36* 1.58 ± 0.42 0.09 ± 0.02*,? 0.019 22:4n6 0.14 ± 0.05 0.17 ± 0.06 0.001 22:5n6 0.10 ± 0.07 0.13 ± 0.04 0.09 ± 0.04 0.07 ± 0.02? 0.084 20:3n9 0.08 ± 0.04 0.13 ± 0.04 0.001 Total PUFA 26.38 ± 3.83 23.38 ± 4.97 29.71 ± 4.12* 5.94 ± 3.91*,? 0.019 Total n3 2.78 ± 1.22 2.12 ± 0.52 0.014 Total n6 23.52 ± 3.32 21.13 ± 4.61 23.70 ± 2.61 5.09 ± 2.18*,? 2.29 ± 1.61? 0.284 n6/n3 9.52 ± 3.24 10.25 ± 2.28 0.003 AA/EPA 6.58 ± 3.83 10.49 ± 3.22 0.001 PL (nmol/ml) SFA 14:0 19.0 ± 5.8 23.0 ± 5.2 18.4 ± 8.0 7.3 ± 1.4? 0.322 15:0 7.3 ± 1.3 10.1 ± 2.7* 0.006 16:0 1159.4 ± 120.3 1235.3 ± 217.0 1170.5 ± 160.1 0.604 18:0 596.5 ± 85.7 552.0 ± 114 534.0 ± 60.8 0.450 20:0 17.0 ± 3.4 18.3 ± 4.2 16.7 ± 2.7 0.461 22:0 46.2 ± 10.6 47.6 ± 14.6 37.4 ± 8.0 28.4 ± 8.0? 0.070 24:0 37.5 ± 9.2 41.2 ± 13.2 0.020 Total SFA 1,882.8 ± 210.9 1,927.4 ± 349.4 1,812.8 ± 216.5 0.688 MUFA 14:1 3.3 ± 4.7 3.7 ± 3.4 4.9 ± 3.9 0.707 123

  10. 956 Lipids (2010) 45:947–962 Table 3 continued Baseline CRD-SFA CRD-UFA ANOVA 15:1 19.6 ± 14.4 32.1 ± 20.4 25.2 ± 11.6 0.299 16:1 35.3 ± 14.1 28.5 ± 4.7 25.0 ± 7.7 0.137 17:1 14.6 ± 8.3 25.1 ± 14.6 18.9 ± 7.8 0.186 18:1n9 426.3 ± 56.1 420.4 ± 82.0 386.7 ± 73.6 0.363 20:1n7 2.8 ± 2.2 2.5 ± 1.6 1.5 ± 1.6 0.281 20:1n9 5.6 ± 1.6 5.9 ± 2.4 7.7 ± 3.1 0.129 22:1n9 4.9 ± 2.6 5.2 ± 2.1 5.2 ± 2.3 0.863 24:1 41.1 ± 11.6 45.0 ± 15.2 48.3 ± 10.1 0.291 Total MUFA 553.5 ± 73.4 568.5 ± 119.2 523.3 ± 84.2 0.549 PUFA 18:3n3 9.0 ± 1.4 9.1 ± 3.6 10.3 ± 3.3 0.644 18:4n3 3.8 ± 1.8 5.1 ± 1.7 3.3 ± 1.5 0.124 20:3n3 0.4 ± 0.6 0.0 ± 0.0 0.1 ± 0.2 – 20:4n3 3.3 ± 2.3 2.4 ± 1.5 3.0 ± 1.6 148.8 ± 110.5*,? 0.719 20:5n3 36.2 ± 23.1 27.4 ± 12.5 0.005 22:5n3 32.3 ± 5.5 32.8 ± 11.2 34.3 ± 7.6 201.2 ± 46.7*,? 0.786 22:6n3 126.6 ± 39.3 122.6 ± 30.1 0.000 18:2n6 951.5 ± 141.3 986.7 ± 184.8 917.8 ± 208.1 4.4 ± 1.3*,? 0.567 18:3n6 6.9 ± 2.8 5.6 ± 1.4 0.104 20:2n6 12.3 ± 2.5 11.4 ± 2.2 9.6 ± 2.7 0.113 20:3n6 122.7 ± 38.9 102.7 ± 31.7 62.4 ± 28.2* 462.8 ± 59.0? 8.1 ± 1.7*,? 4.3 ± 1.5*,? 0.016 20:4n6 464.5 ± 62.1 580.2 ± 110.7* 0.010 22:4n6 16.5 ± 4.0 17.7 ± 5.2 0.000 22:5n6 10.4 ± 3.4 12.1 ± 7.3 0.008 20:3n9 5.9 ± 6.0 8.2 ± 13.4 3.9 ± 2.6 0.459 Total PUFA 1802.2 ± 158.9 1924.1 ± 365.5 1874.4 ± 354.9 401.1 ± 155.3*,? 0.657 Total n3 211.6 ± 60.3 199.4 ± 51.4 0.001 Total n6 1584.8 ± 155.8 1716.4 ± 321.7 1469.4 ± 280.2 4.1 ± 1.6*,? 4.8 ± 3.3*,? 0.124 n6/n3 8.0 ± 2.4 8.8 ± 1.2 0.000 AA/EPA 16.4 ± 7.2 23.9 ± 7.2 0.000 PL (mol%) SFA 14:0 0.45 ± 0.14 0.54 ± 0.18 0.43 ± 0.17 0.17 ± 0.01? 0.367 15:0 0.17 ± 0.04 0.23 ± 0.04* 0.002 16:0 27.19 ± 0.64 28.02 ± 0.90 27.86 ± 0.92 0.120 18:0 13.96 ± 1.06 12.46 ± 0.81 12.81 ± 1.39 0.048 20:0 0.40 ± 0.06 0.42 ± 0.07 0.40 ± 0.05 0.656 22:0 1.08 ± 0.22 1.07 ± 0.21 0.89 ± 0.17 0.68 ± 0.18*,? 0.033 24:0 0.88 ± 0.19 0.92 ± 0.19 0.008 Total SFA 44.13 ± 1.18 43.66 ± 1.17 43.24 ± 1.93 0.452 MUFA 14:1 0.08 ± 0.12 0.09 ± 0.09 0.12 ± 0.10 0.744 15:1 0.46 ± 0.34 0.67 ± 0.37 0.62 ± 0.32 0.397 16:1 0.82 ± 0.27 0.67 ± 0.20 0.59 ± 0.14* 0.043 17:1 0.34 ± 0.19 0.54 ± 0.26 0.46 ± 0.22 0.240 18:1n9 9.99 ± 0.73 9.53 ± 0.76 9.15 ± 0.67* 0.050 20:1n7 0.07 ± 0.05 0.06 ± 0.03 0.04 ± 0.04 0.372 20:1n9 0.13 ± 0.04 0.14 ± 0.07 0.18 ± 0.07 0.238 123

  11. Lipids (2010) 45:947–962 957 Table 3 continued Baseline CRD-SFA CRD-UFA ANOVA 22:1n9 0.11 ± 0.06 0.12 ± 0.05 0.12 ± 0.05 0.901 24:1 0.96 ± 0.24 1.03 ± 0.35 1.16 ± 0.25 0.237 Total MUFA 12.96 ± 0.69 12.84 ± 0.94 12.45 ± 1.04 0.397 PUFA 18:3n3 0.21 ± 0.03 0.20 ± 0.05 0.25 ± 0.08 0.278 18:4n3 0.09 ± 0.04 0.11 ± 0.03 0.08 ± 0.05 0.203 20:3n3 0.01 ± 0.02 0.00 ± 0.00 0.00 ± 0.01 – 20:4n3 0.08 ± 0.05 0.05 ± 0.03 0.07 ± 0.03 3.44 ± 2.23*,? 0.568 20:5n3 0.87 ± 0.59 0.61 ± 0.23 0.002 22:5n3 0.76 ± 0.12 0.73 ± 0.15 0.81 ± 0.13 4.79 ± 0.92*,? 0.097 22:6n3 2.97 ± 0.84 2.77 ± 0.46 0.000 18:2n6 22.36 ± 2.79 22.32 ± 1.14 21.63 ± 2.24 0.493 18:3n6 0.16 ± 0.05 0.13 ± 0.02 0.10 ± 0.02* 0.031 20:2n6 0.29 ± 0.05 0.26 ± 0.05 0.23 ± 0.06 0.110 20:3n6 2.86 ± 0.77 2.31 ± 0.53 1.49 ± 0.58* 11.03 ± 0.51? 0.19 ± 0.04*,? 0.10 ± 0.03*,? 0.002 20:4n6 10.96 ± 1.63 13.14 ± 0.78* 0.002 22:4n6 0.38 ± 0.07 0.40 ± 0.10 0.000 22:5n6 0.25 ± 0.08 0.27 ± 0.14 0.002 20:3n9 0.14 ± 0.13 0.19 ± 0.32 0.09 ± 0.06 0.496 Total PUFA 42.37 ± 2.45 43.49 ± 1.71 44.32 ± 1.93 9.45 ± 2.89*,? 34.78 ± 2.50? 4.08 ± 1.56*,? 4.82 ± 3.31*,? 0.153 Total n3 4.98 ± 1.42 4.47 ± 0.60 0.000 Total n6 37.25 ± 2.58 38.83 ± 1.61 0.002 n6/n3 8.04 ± 2.42 8.81 ± 1.23 0.000 AA/EPA 16.04 ± 7.22 23.85 ± 7.22 0.000 CE (nmol/ml) SFA 30.46 ± 9.7? 14:0 36.59 ± 7.9 51.16 ± 25.0 0.047 15:0 10.52 ± 7.1 15.57 ± 6.9 9.16 ± 6.9 0.099 16:0 608.76 ± 51.4 720.01 ± 213.0 611.48 ± 66.2 0.138 18:0 95.77 ± 109.6 71.97 ± 20.9 54.75 ± 12.2 0.512 20:0 5.13 ± 4.8 10.28 ± 13.5 3.50 ± 5.2 0.241 22:0 0.69 ± 1.3 5.44 ± 9.6 2.76 ± 2.8 0.273 24:0 0.41 ± 0.8 1.18 ± 2.3 0.76 ± 1.7 0.672 Total SFA 757.87 ± 106.3 875.61 ± 263.2 712.87 ± 65.6 0.208 MUFA 14:1 0.55 ± 1.0 2.25 ± 2.6 1.88 ± 1.3 0.110 15:1 1.52 ± 3.0 1.29 ± 1.2 1.07 ± 1.5 0.924 16:1 123.62 ± 64.5 119.63 ± 32.8 85.55 ± 5.5 0.221 17:1 10.47 ± 1.7 16.90 ± 9.7 10.37 ± 1.6 0.071 18:1n9 878.74 ± 120.6 1063.96 ± 362.2 925.07 ± 181.7 0.146 20:1n7 0.00 ± 0.0 0.00 ± 0.0 0.00 ± 0.0 – 20:1n9 0.00 ± 0.0 0.00 ± 0.0 0.00 ± 0.0 – 22:1n9 9.54 ± 9.4 18.09 ± 33.0 6.00 ± 4.9 0.383 24:1 13.58 ± 20.1 6.84 ± 16.7 6.39 ± 8.9 0.615 Total MUFA 11038.03 ± 158.0 228.97 ± 400.1 1036.33 ± 176.4 0.189 PUFA 34.74 ± 10.8*,? 18:3n3 22.23 ± 6.2 24.61 ± 15.3 0.013 18:4n3 12.89 ± 8.6 8.80 ± 7.8 3.50 ± 3.6* 0.039 123

  12. 958 Lipids (2010) 45:947–962 Table 3 continued Baseline CRD-SFA CRD-UFA ANOVA 20:3n3 0.00 ± 0.0 0.00 ± 0.0 0.00 ± 0.0 – 20:4n3 0.00 ± 0.0 0.00 ± 0.0 0.00 ± 0.0 151.52 ± 81.0*,? – 20:5n3 31.14 ± 9.4 35.27 ± 22.4 0.000 22:5n3 4.23 ± 3.6 3.08 ± 3.7 1.85 ± 1.7 41.53 ± 9.3*,? 0.311 22:6n3 29.92 ± 9.2 28.29 ± 10.0 0.003 18:2n6 2846.45 ± 493.33 283.30 ± 862.9 3026.10 ± 464.9 0.140 18:3n6 45.83 ± 22.5 33.73 ± 12.7 20.67 ± 8.2* 0.029 20:2n6 2.40 ± 2.5 4.44 ± 5.8 1.35 ± 1.3 18.48 ± 5.8*,? 381.07 ± 56.3? 0.252 20:3n6 33.35 ± 11.1 33.40 ± 12.8 0.026 20:4n6 362.54 ± 97.3 502.29 ± 136.6* 0.007 22:4n6 0.00 ± 0.0 0.00 ± 0.0 0.00 ± 0.0 0.252 22:5n6 0.00 ± 0.0 0.00 ± 0.0 0.00 ± 0.0 – 20:3n9 3.59 ± 4.8 4.48 ± 4.6 0.76 ± 0.9 0.217 Total PUFA 3394.56 ± 586.7 3961.70 ± 1045.3 3681.58 ± 536.2 233.14 ± 92.2*,? 0.110 Total n3 100.41 ± 14.5 100.05 ± 43.8 0.000 Total n6 3290.56 ± 588.1 3857.17 ± 1010.6 3447.68 ± 483.1 16.61 ± 5.9*,? 3.15 ± 1.5*,? 0.094 n6/n3 33.65 ± 8.5 42.73 ± 12.0 0.000 AA/EPA 11.91 ± 2.9 19.06 ± 10.7 0.001 CE (mol%) SFA 14:0 0.69 ± 0.12 0.79 ± 0.27 0.56 ± 0.20 0.086 15:0 0.20 ± 0.13 0.25 ± 0.13 0.18 ± 0.16 0.115 16:0 11.51 ± 0.80 11.52 ± 0.57 11.14 ± 0.39 0.381 18:0 1.97 ± 2.59 1.16 ± 0.23 1.00 ± 0.21 0.422 20:0 0.10 ± 0.09 0.16 ± 0.19 0.06 ± 0.09 0.280 22:0 0.01 ± 0.02 0.08 ± 0.13 0.05 ± 0.06 0.302 24:0 0.01 ± 0.01 0.02 ± 0.05 0.02 ± 0.03 0.680 Total SFA 14.49 ± 3.26 13.98 ± 0.90 13.02 ± 0.69 0.361 MUFA 14:1 0.01 ± 0.02 0.03 ± 0.04 0.03 ± 0.02 0.225 15:1 0.03 ± 0.07 0.02 ± 0.02 0.02 ± 0.03 0.764 16:1 2.30 ± 1.01 1.93 ± 0.22 1.57 ± 0.17 0.084 17:1 0.20 ± 0.04 0.26 ± 0.10 0.19 ± 0.02 0.129 18:1n9 16.68 ± 2.69 16.97 ± 1.54 16.74 ± 1.42 0.910 20:1n7 0.00 ± 0.00 0.00 ± 0.00 0.00 ± 0.00 – 20:1n9 0.00 ± 0.00 0.00 ± 0.00 0.00 ± 0.00 – 22:1n9 0.19 ± 0.19 0.27 ± 0.46 0.12 ± 0.10 0.460 24:1 0.27 ± 0.41 0.11 ± 0.28 0.12 ± 0.17 0.529 Total MUFA 19.68 ± 3.19 19.59 ± 1.19 18.80 ± 1.25 0.538 PUFA 0.62 ± 0.12*,? 18:3n3 0.42 ± 0.10 0.37 ± 0.16 0.000 18:4n3 0.25 ± 0.20 0.14 ± 0.11 0.06 ± 0.07* 0.022 20:3n3 0.00 ± 0.00 0.00 ± 0.00 0.00 ± 0.00 – 20:4n3 0.00 ± 0.00 0.00 ± 0.00 0.00 ± 0.00 2.70 ± 1.23*,? – 20:5n3 0.59 ± 0.17 0.55 ± 0.32 0.000 22:5n3 0.08 ± 0.07 0.05 ± 0.06 0.03 ± 0.03 0.76 ± 0.18*,? 0.273 22:6n3 0.57 ± 0.20 0.46 ± 0.12 0.000 18:2n6 53.36 ± 6.44 53.04 ± 2.73 54.87 ± 1.91 0.591 123

  13. Lipids (2010) 45:947–962 959 Table 3 continued Baseline CRD-SFA CRD-UFA ANOVA 18:3n6 0.85 ± 0.35 0.55 ± 0.18 0.39 ± 0.16* 0.009 20:2n6 0.04 ± 0.05 0.07 ± 0.08 0.03 ± 0.02 0.35 ± 0.13*,? 0.376 20:3n6 0.62 ± 0.15 0.53 ± 0.08 0.003 20:4n6 6.75 ± 1.50 8.13 ± 0.83* 6.97 ± 1.04 0.045 22:4n6 0.00 ± 0.00 0.00 ± 0.00 0.00 ± 0.00 – 22:5n6 0.00 ± 0.00 0.00 ± 0.00 0.00 ± 0.00 – 20:3n9 0.06 ± 0.08 0.07 ± 0.07 0.01 ± 0.02 0.248 Total PUFA 63.60 ± 7.11 63.95 ± 2.74 66.79 ± 0.94 4.18 ± 1.34*,? 0.281 Total n3 1.91 ± 0.34 1.57 ± 0.46 0.000 Total n6 61.62 ± 7.40 62.31 ± 2.94 62.60 ± 1.69 16.61 ± 5.95*,? 3.15 ± 1.49*,? 0.903 n6/n3 33.65 ± 8.52 42.73 ± 11.98 0.000 AA/EPA 11.91 ± 2.93 19.06 ± 10.67 0.001 Values are means ± SD. Repeated measures ANOVA and Tukey post hoc * P\0.05 from baseline ?P\0.05 from CRD-SFA were high in both CRD-UFA and CRD-SFA. Competition among n-3 and n-6 PUFA at the level of desaturation and chain elongation steps of fatty acid biosynthesis may also be important. An increase in phospholipid ARA mol% and PL ARA/ EPA ratio is commonly viewed as contributing to a pro- inflammatory and pro-oxidative state. These effects fol- lowing CRD-SFA, however, were not accompanied by elevation of any of the inflammatory markers or 8-iso PGF2a. Along these lines, a meta-analysis of 14 case– control and prospective cohort studies found that increased ARA in plasma PL or triglycerides was not associated with coronary events [37], while a recent case-controlled study of acute coronary syndrome (ACS) found a U-shaped relationship between odds ratio for ACS and erythrocyte ARA content [38]. Ferrucci L et al. [15] demonstrated and inverse relation between plasma ARA and pro-inflamma- tory markers, in agreement with the current study. A CRD that resulted in an increased ARA/EPA ratio also decreased C-reactive protein (CRP) [17]. A number of other studies have failed to link increased ARA in plasma lipids with deleterious outcomes [39–43]. The lack of association betweenplasmaPLARAandplasmaPLARA/EPAratioand inflammation following CRD-SFA supports the idea that ARA in plasma membranes is not pro-inflammatory, espe- cially in the context of low dietary carbohydrate. In fact, there was a trend (P\0.08) for an anti-inflammatory effect on the adipocytokine leptin. Although leptin is not a classic cytokine, several immune cells (including polymorphonu- clear leukocytes, monocytes, macrophages and lympho- cytes) have leptin receptors and their activity can be modulatedbyleptin.Leptinhasalsobeenshowntostimulate production of ROS by activated monocytes in vitro [44]. periods in this study significantly decreased TAG 16:1n-7, suggesting that similar reductions in our previous experi- ments using a hypocaloric CRD [3, 7], were a consequence of carbohydrate restriction rather than calorie reduction or weight loss. Lower 16:1n-7 also provides an explanation for the lack of association between dietary and plasma SFA since the 16:0 species is the primary product of fatty acid synthesis. Parallel reduction in 16:0 and 16:1n-7 suggests that stearoyl-CoA desaturase-1 (SCD-1), the enzyme responsible for desaturating 16:0, was not down-regulated independent of lipogenesis, since, in that case, the pro- portion of 16:0 would be expected to rise. Increased plasma levels of SFA and 16:1n-7 have been reported in obese adolescents [31] and adults with MetSyn [32] and higher 16:1n-7 is associated with increased abdominal obesity, lipogenesis, and hypertriglyceridemia [33, 34]. Highly Unsaturated Fatty Acids The increase in PL ARA in weight stable men after the CRD-SFA (order of 2 units expressed as mol%) is similar to the previously reported effect in overweight men on a hypocaloric diet [7] indicating that the latter was not due to weight loss. Replacing SFA with unsaturated fat including n-3 PUFA prevented the increase in plasma ARA, and also resulted in a marked increase in plasma EPA and DHA, likely a result of higher dietary intake on the CRD-UFA (1.5 g vs. 0.4 g/day). Previous studies have shown close association between dietary EPA and DHA and plasma EPA and DHA [35]. Increased plasma ARA following CRD-SFA may have resulted from less competition from n-3 PUFA for preferential acyl incorporation into the sn-2 position of phospholipids [36]. Dietary intakes of ARA 123

  14. 960 Lipids (2010) 45:947–962 results emphasize the substantial impact of a low carbo- hydrate intake in regulating the connection between dietary and plasma SFA. A higher saturated fat intake can be efficiently metabolized in the presence of low carbohydrate and lead to consistent improvements in markers of CVD risk. Whereas studies of benefits of carbohydrate restriction are rarely cited in the literature, responses of even a single meal high in saturated fat are taken as convincing evidence even if done in the presence of high carbohydrate. Ulti- mately, however, long term studies show that replacement of saturated fat with carbohydrate is at best neutral [55, 56]. Persistence of recommendations in the face of continued failure of large trials to show an effect of saturated fat remains one of the strange anomalies in current medical science. Substitution of a portion of the SFA within a CRD with UFA including a combination of both MUFA and n-6 and n-3 PUFA had a profound effect on plasma fatty acid composition, reduced oxidative stress, but did not alter the positive effects on features of metabolic syndrome (e.g., insulin, TAG, LDL particle size). As low carbohydrate diets become more widely prescribed and used, it will be important to determine the range of dietary fatty acids most conducive to improving long-term health. Our results point to a suitable diet that had an emphasis on low carbohydrate foods with fat sources emphasizing MUFA and n-3 PUFA (e.g., omega-3 eggs, avocado, salmon, sardines, meat, poultry, olive oil, canola oil, nuts and seeds) although there was little if any detriment in a higher saturated fat approach. Previous CRD investigations indicate significant reductions in response to a low carbohydrate diet even when normal- izing for changes in body or fat mass [3]. The isoprostane 8-iso PGF2ais a free radical-catalyzed product of ARA measured as a general indicator of oxi- dative stress [18]. We found no change in 8-iso PGF2aafter the CRD-SFA despite a significant increase in plasma ARA. Similarly, a significant decrease in 8-iso PGF2awas observed after the CRD-UFA where there was no change in plasma ARA. The inverse correlation between changes in plasma PL ARA and 8-iso PGF2aindicates better preser- vation of ARA in response to a CRD. The fat sources in this diet, olive oil and lipid from fish and liquid omega-3 eggs, may have contributed to lower urinary 8-iso PGF2a following CRD-UFA. Urinary excretion has been shown to be reduced by extra virgin olive oil [45], moderate fish oil supplementation (3.6 g/d n-3 PUFA), [46] and one daily fish meal (providing 3 g n-3 PUFA) reduced urinary F2-isoprostane levels in dyslipidemic non-insulin-depen- dent diabetic patients [47]. Insulin Resistance Syndrome Saturated fatty acids are often implicated in the worsening of insulin resistance [48], but the effect is contingent upon the presence of ample carbohydrate. Carbohydrate restric- tion in the presence of high saturated fat leads to improvement in insulin sensitivity despite increased lipo- lytic rates and release of fatty acids into the circulation [49]. In the current study, the two subjects who had insulin resistance at baseline improved after restricting carbohy- drate. The TAG/HDL-C ratio is strongly correlated with insulin resistance and levels [3.5 are indicative of increased CVD risk [50]. All subjects showed TAG/HDL-C values less than this value after the CRD consistent with the HOMA-IR results. Carbohydrate restrictions thus improved insulin sensitivity independent of dietary fatty acid composition. Many factors can influence serum cho- lesterol responses to saturated fat [51] including genetic variations [52] and the current study showed high vari- ability in LDL-C. Independent of LDL-C concentration, however, individuals with a predominance of small LDL particles (pattern B) have[threefold risk of CVD [53]. In the current study, the variable LDL response was accom- panied by uniform increase in LDL particle size. Acknowledgments Board-Egg Nutrition Center Dissertation Fellowship in Nutrition Award. The funding agency had no input to the design and conduct of the study, the interpretation of the data, or preparation and approval of manuscripts. This work was supported by the American Egg References 1. Volek JS, Fernandez ML, Feinman RD, Phinney SD (2008) Dietary carbohydrate restriction induces a unique metabolic state positively affecting atherogenic dyslipidemia, fatty acid parti- tioning, and metabolic syndrome. Prog Lipid Res 47:307–318 2. 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