Abstract
Background
Children with cystic fibrosis (CF) and pancreatic insufficiency (PI) are at increased risk for essential fatty acid (EFA) deficiency.
Objectives
To investigate serum markers of EFA status in children with CF and PI and their association to growth, body composition and lung function.
Design
Serum phospholipid fatty acid (FA), growth and pulmonary (FEV1, % predicted) status were assessed at baseline and 12 months in 77 children with CF and PI, 7 to 10 years old. Longitudinal mixed effect models were used for comparing associations of the triene to tetraene ratio (T:T; ratio of eicosatrienoic acid to arachidonic acid) and serum linoleic acid (LA; mol %) with the clinical outcomes. Twenty-three healthy Caucasian age- and sex- matched children served as controls for serum FA.
Results
Children with CF and PI had higher median T:T and lower LA than healthy controls. Depending on the T:T cut-off point used (0.04 or 0.02), either 17 or 52% of the children with CF had EFAD, respectively. Only LA was significantly and positively associated with z-scores for weight, height, BMI, upper arm muscle area, and FEV1 at baseline. Children with LA ≥21 mol% had significantly better growth and pulmonary status than those with lower concentrations.
Conclusions
Serum phospholipid LA≥21 mol% was associated with better growth, body composition and FEV1. No clinical outcome associations were found with the T:T ratio. These findings suggest that LA concentration was a more clinically relevant biomarker of EFA status than the T:T ratio in children with CF and PI. Further research is warranted to validate this specific %LA cut-off point as a new recommendation for clinical use.
Keywords: Essential fatty acid deficiency, growth, pulmonary function, triene to tetraene ratio, linoleic acid
INTRODUCTION
Humans lack the enzymes to desaturate fatty acids (FA) at the 3rd and 6th carbon from the methyl end of the molecule, and are dependent on dietary sources to prevent essential FA (EFA) deficiency. Linoleic acid (LA, 18:2w6), and alpha linolenic acid (ALA, 18:3w3) are the omega-6 and omega-3 EFA in humans. LA is an important membrane constituent; both of these EFA have multiple cellular structural and functional roles, and are precursors to long chain polyunsaturated FA, which, by themselves and through prostanoid products, are growth factors and inflammatory mediators, and also influence gene expression1;2.
EFAD has been described in patients with cystic fibrosis (CF) for more than 40 years3, and many CF clinical symptoms have been shown to be influenced by EFAD4–7. EFA status is often clinically defined by the ratio of eicosatrienoic acid (ETA, also known as mead acid, 20:3w9) to the important tetraenoic acid, arachidonic acid (AA, 20:4w6) in tissues such as serum or plasma8. This ratio is known as the triene: tetraene ratio (T:T), or the EFAD index. Biochemical evidence of EFAD may precede clinical signs in children with CF9. LA (the omega-6 EFA) is also a biochemical indicator of EFA status. Decreased serum LA concentration is a frequently described EFA abnormality in infants, children and adults with CF10;11. Our study had two aims: 1) to examine serum LA and T:T ratio status in subjects with CF and pancreatic insufficiency (PI) as compared to Caucasian age-matched healthy control subjects, and 2) to assess clinical associations of serum phospholipid LA concentration and T:T ratio with growth, body composition, and pulmonary function in subjects with CF and PI.
SUBJECTS AND METHODS
Children with CF and PI (ages 7 to 10 years) from 13 CF centers participated in a 24 month study of nutritional status and progression of pulmonary disease. A subset of these subjects elected to participate in a behavioral and nutritional educational intervention previously shown to be effective in boosting caloric intake 12;13, in accordance with the CF nutritional recommendations.
At the 12 and 24-month visits, serum FA and additional data were collected, and these visits are referred to as baseline and 12 month data for the purposes of this analysis. An additional anthropometric assessment occurred at 6 months. The behavioral intervention occurred in a subset of subjects with CF approximately 12 months prior to the baseline serum, pulmonary and anthropometric measurements that constitute this study. The diagnoses of CF and PI were made by the home CF Center based on clinical symptoms, and upon duplicate quantitative pilocarpine iontophoresis sweat test, with chloride values of >60mEq/L. PI was diagnosed by 72-hour quantitative fecal fat collection and analysis of dietary intake, with <93% fat absorption, and/or a stool trypsin value of <80 μg/L. Children were excluded if they had an FEV1 <40% of predicted, significant liver disease, insulin-dependent diabetes, B. cepacia sputum colonization, or had other medical conditions or medications known to affect growth. Age and sex matched healthy children who participated in a bone health study at The Children’s Hospital of Philadelphia (CHOP) served as control subjects. These healthy children were recruited from the primary care practice at the Children’s Hospital of Philadelphia and affiliated pediatric practices. They were included on the basis of similar gender and age as the subjects with CF and were all Caucasians. Exclusion criteria included use of any medication known to affect growth (e.g., thyroxin, growth hormone, current or previous oral steroid medication), height or weight <3rd percentile for age, percent of ideal body weight >130%, and significant developmental delay or impairments. None of the control subjects had pre-existing diagnosed gastrointestinal disorders or significant symptoms to suggest gastrointestinal, hepatic, or pancreatic disease. Both protocols were approved by the Committee for the Protection of Human Subjects of the Institutional Review Board at CHOP, and at the subjects’ respective home institutions. Written informed consent and age-appropriate assent were obtained from the parent/legal guardian and each subject, respectively. Subjects with CF were seen at the CHOP Clinical Translational Research Center (CTRC) for two (at baseline and at 12 months) overnight admissions and at their respective home CF Centers for a day visit at 6-months, while in their usual state of good health. Evaluations at each visit included clinical status, anthropometry, dietary (food and supplement) intake and phlebotomy. Additionally, subjects with CF had phlebotomy, spirometry and fecal collections performed at the baseline and 12 month visits. The healthy control subjects had one baseline assessment performed including phlebotomy and anthopometry during a one-day study visit. For the healthy control subjects, only this baseline data was included for this study.
Energy intake
Seven-day home-based weighed food records were obtained from children with CF at baseline after verbal and written instructions were provided along with measuring cups, spoons, and digital food scales. Research dietitians analyzed the diet records (Nutrition Data System, Minneapolis, MN). Details of the specific brands of supplements, frequency and dose, were recorded. Total grams of fat, kilocalories (kcals) from fat, carbohydrates and protein, total energy (kcals) were calculated. The estimated energy requirement (EER) adjusted for age, sex, height, weight, for physical activity in the “active” range as determined previously was also calculated14. LA and ALA intake in grams per day, and percent intake based on the Adequate Intake level (AI) of the Dietary Reference Intakes (DRI) were calculated and expressed as both grams per day as well as % AI15.
Serum fatty acid analysis
For the subjects with CF, fasting, serum phospholipid fatty acid (FA) status was determined at baseline and 12-month visits. A single, non-fasting serum phospholipid FA assessment for an age and sex matched sample of healthy control subjects at the baseline visit was used for comparison. Total lipids of serum were extracted according to Folch et al16. Serum phospholipids were fractionated on a single SEP-PAK aminopropyl cartridge (Waters Corp., Massachusetts, USA), subsequently separated by capillary gas-liquid chromatography as previously described17, and recorded with HP GC Chem Station software (HP GC, Wilmington, DE). The FA methyl esters were identified and quantified by comparison with pure reference substances (Sigma Aldrich Sweden AB, Stockholm, Sweden), with heneicosanoic acid (21:0) as the internal standard. The FA’s, LA, ALA, AA, ETA, and oleic acid (OA) are reported here. All values are expressed as molar percentage of total serum phospholipid FA. There is no accepted standard for defining EFA status; therefore EFA status was explored using different, previously published clinically used cut-off points in studies in subjects with CF for the T:T ratios of ≤ 0.02 and ≤ 0.0418–20, and from 20 to 26 mol% for serum LA9–11;21–29.
Body composition, growth and clinical status
Height and weight were measured using standard techniques30 with a stadiometer accurate to 0.1 cm (Holtain, Crymych, UK), and a digital scale accurate to 0.1 kg (Scaletronix, White Plains, NY). Height was adjusted for genetic potential31 from measured or reported biological parent heights for the subjects with CF. Z scores for height (HAZ), adjusted height (adjHAZ), weight (WAZ) and body mass index (BMI; kg/m2, BMIZ) were also computed32. Mid-upper arm circumference was measured using a flexible plastic measuring tape (Ross Laboratories, Columbus OH). A skinfold caliper (Holtain, Crymych UK) was used to measure triceps and subscapular skinfold thickness on the right side. Upper arm muscle and fat areas were derived33;34, and Z scores for upper arm muscle area (UAMAZ) and upper arm fat area (UAFAZ) were computed34. These determinations were made for the subjects with CF at the baseline, 6 and 12-month visits. Height, weight, and BMI measurements were analyzed for the healthy control subjects for the baseline visit only. Pulmonary function was evaluated by standard methods for spirometry35;36 following inhaled albuterol and chest physiotherapy in the children with CF at the baseline and 12 month visits. FEV1 percent predicted was used as the measure of pulmonary function37, and are presented using both the equations by Knudson et al38 and by Wang et al39.
STATISTICS
Data Analysis
Descriptive analysis was performed using means, standard deviations, medians, minimum and maximum values for continuous variables, and frequency distributions for categorical variables. Descriptive statistics and exploratory graphing techniques were used to assess the normality of the continuous variables. Demographic, growth, pulmonary status, and select serum FA comparisons between children with CF and healthy controls were assessed using student’s t-tests for independent samples, or Mann-Whitney-Wilcoxon tests, because sample size are unequal, for non-normally distributed variables. Associations between dietary intake and serum FA data were measured for subjects in both groups for whom both complete dietary data and serum FA status were available. The association between dietary LA intake, serum FA and growth, nutritional and pulmonary status was measured by Pearson’s correlation coefficient for normally distributed variables or Spearman’s rho coefficients for non-normally distributed variables.
T:T cut-off points were derived from those published in the literature18–20. The selection of the cut-off points for LA was driven by our data and by those most frequently used in the literature (26 mol%)10;11;27. The LA values for our CF subjects were between 15 and 29 mol%; 12% of the observations had values < 19 mol%, 10% had values > 26 mol%, and 78% of the observations (n=60) were within the values of 19 to 26 mol%. Therefore, we explored seven different %LA cut-off points at baseline (from 20 to 26 mol% in increments of one, i.e., < 20 vs. ≥ 20, < 21 vs. ≥ 21, etc to < 26 vs. ≥ 26 mol%) using mixed effects models for longitudinal data 40. Since this is a secondary data analysis of a data set of modest size, our analyses were exploratory. For each LA cut-off point, four models were fitted. Regression coefficients, standard errors, p values for each predictor within the models, and a measure of relative goodness of fit (Akaike’s information criterion [AIC]) 41, were obtained. Our goal was to explore cut-off points with statistical significant p-values across the four outcomes (adjHAZ, WAZ, UAMAZ, and FEV1). These models utilized all available information for each subject; specifically, at baseline, 6, and 12 months for growth and body composition, and at baseline and 12 months for FEV1. The predictors were the FA status at baseline, time, and the FA status by time interaction. In addition, gender was included in all models. The data were evaluated for the cut-off point with the higher statistical significance and lower AIC value across the four outcomes (adjHAZ, WAZ, UAMAZ, and FEV1). The Type I error rate was adjusted by using the Tukey, Ciminera and Heyse’s adjustment for multiple comparisons for moderately related outcomes 42;43; the p value was set as p = 0.010. Agreement between the best cutoff value (≥ 21) of serum %LA, obtained from our mixed effects models, and two cutoff values of the T:T ratio (≤ 0.02 and ≤ 0.04) was evaluated by using the Kappa coefficient. All tests were two sided and were performed with STATA 8.0 (College Station, TX) or SAS (version 9.1.3, Cary, NC).
RESULTS
Seventy-seven subjects (51% female) with CF and PI of mean age 8.4 ± 0.9 ( 7.0 to 10.0) years, and 23 healthy control subjects (57% female) of mean age 8.4 ± 1.1 ( 7.2 to 11.0) years participated. Comparisons between subjects with CF and controls were based on cross-sectional data and were restricted to the baseline visit for both groups. The subjects with CF did not differ from controls with respect to age, gender and growth status (Table 1). Subjects with CF had lower serum LA and AA, and higher serum ALA, OA and ETA mol % compared to control subjects. T:T ratio was higher for children with CF as compared to the controls (0.029 ± 0.030 v. 0.011 ± 0.004, p<0.001). All control subjects and 48% of children with CF had a T:T ratio < 0.02, and 17% of the children with CF had a T:T ratio > 0.04. Gender differences were seen for ETA and T:T status in the subjects with CF. The female subjects had lower median serum ETA mol % [0.151 (0.055 to 0.802) vs. 0.198 (0.060 to 1.560), p=0.017] than the male subjects with CF. Males had higher median T:T than the female subjects with CF [ 0.024 (0.008 to 0.219) vs. 0.018 (0.004 to 0.137), p= 0.015].
Table 1.
Baseline clinical characteristics and selected fatty acid profiles
Subjects with CF (n=77) Mean ± SD |
Healthy Controls (n=23) Mean ± SD |
|
---|---|---|
Age, y | 8.4 ± 0.9 | 8.4 ± 1.1 |
Sex, %female | 51 | 57 |
ΔF508 homozygous genotype, % | 55 | __ |
WAZ | −0.4 ± 1.2 | −0.1 ± 0.9 |
BMIZ | −0.1 ± 1.1 | −0.1 ± 1.0 |
HAZ | −0.5 ± 1.1 | −0.1 ± 0.9 |
Adjusted HAZ | −0.8 ± 1.1 | __ |
UAMAZ | −0.0 ± 1.2 | 0.5 ± 1.0_ |
UAFAZ | −0.3 ± 1.0 | −0.1 ± 1.0_ |
FEV1, (Knudsen)1 % predicted | 97 ± 15 | __ |
FEV1, (Wang)2 % predicted | 100 ± 15 | __ |
Dietary Intake | (n=66) | (n=22) |
Estimated Energy Requirement3, % | 115 ± 35 | 91 ± 12† |
Total fat, grams/day | 90 ± 31 | 62 ± 12† |
Fat intake, % of kcals/day | 37 ± 5 | 32 ± 4† |
Linoleic Acid | ||
grams/day | 13 ± 6 | 10 ± 4* |
%Adequate Intake | 130 ± 55 | 103 ± 36* |
Alpha Linolenic Acid | ||
grams/day | 1.3 ± 0.5 | 0.8 ± 0.2† |
%Adequate Intake | 135 ± 60 | 89 ± 20† |
Oleic Acid, grams/day | 31 ± 11 | 21 ± 4 ‡ |
Select Serum Fatty Acids, mol % total FA4 | ||
Linoleic acid | 21.9 [15.2, 29.3] | 24.4 [18.5, 29.1]† |
Alpha Linolenic Acid | 0.19 [0.10, 0.41] | 0.16 [0.10, 0.39]** |
Oleic Acid | 10.9 [7.9, 14.2] | 9.1 [8.2, 11.3] ‡ |
Arachidonic Acid | 8.1 [4.2, 12.7] | 11.1 [8.4, 12.6] ‡ |
Eicosatrienoic Acid | 0.17 [0.05, 1.56] | 0.11 [0.07, 0.22]† |
Ratio | ||
Triene:Tetraene5 | 0.030 [0.004, 0.219] | 0.009 [0.005, 0.019]‡ |
Based on the equations of 1Knudsen et al (38) and 2Wang et al (39). Estimated energy requirement for the subjects with CF (12). 4Median [range] values presented, as all fatty acids (except for linoleic acid) and the triene: tetraene ratio are not normally distributed. 5 Ratio of eicosatrienoic (mead) acid to arachidonic acid. Normally distributed variables are compared using means ± sd and t-tests; non-normally distributed variables for which medians are compared by Wilcoxan rank sum.
p<0.05;
p<0.005;
p<0.001;
p<0.0001.
Dietary data were available for 86% of subjects with CF and for 96% of the healthy control subjects. The subjects with CF had greater energy, fat and LA intake than the healthy controls. Twenty six percent of subjects with CF had LA intake less than 100% AI, and 21% of subjects had ALA intake less than 100% AI (Table 1). For both groups, LA ALA and total caloric intake were not associated with serum LA or ALA status.
Associations between serum phospholipid FA, T:T ratio and growth, body composition and FEV1 are shown in Table 2 for the subjects with CF. The LA status was significantly and positively associated with growth status and UAMAZ. The association of serum LA status with FEV1 percent predicted (both Knudsen and Wang) did not reach statistical significance in this model (p <0.01); however, a trend was observed (p<0.05). The T:T ratio was not correlated with any of the outcomes of interest. The relationships between ALA, OA, AA, and ETA and clinical measures are shown in Table 2. ALA was positively and OA negatively associated with growth status. AA was negatively associated with FEV1 (Wang only). Similar correlations between these clinical measures and LA, ALA, AA, OA, ETA, and T:T ratio were observed for the 12-month data, with the exception of the association between %LA and FEV1 (not shown).
Table 2.
Baseline correlations (p values) between selected serum fatty acids and growth and pulmonary status in children CF and PI.
Subjects with CF (n=77)
| ||||||||
---|---|---|---|---|---|---|---|---|
WAZ | HAZ | AdjHAZ1 | BMIZ | UAMAZ | UAFAZ | FEV1 2,3 | FEV1 2,4 | |
Select Fatty Acids
| ||||||||
Linoleic acid | 0.344** | 0.309* | 0.290† | 0.267† | 0.297* | 0.109 | 0.267† | 0.286† |
Alpha linolenic acid | 0.241† | 0.109 | 0.121 | 0.310* | 0.353** | 0.151 | 0.147 | 0.184 |
Oleic acid | −0.234† | −0.291* | −0.242† | −0.171 | −0.166 | −0.145 | 0.139 | 0.073 |
Arachidonic acid | −0.082 | −0.047 | −0.065 | −0.096 | −0.130 | 0.034 | −0.216 | −0.331** |
Eicosatrienoic acid | −0.108 | −0.161 | −0.121 | −0.084 | −0.139 | 0.022 | −0.136 | −0.187 |
| ||||||||
Ratio
| ||||||||
Triene: Tetraene5 | −0.099 | −0.167 | −0.132 | −0.070 | −0.111 | −0.018 | −0.051 | −0.061 |
Data available for 176/77 subjects (99%) and 275/77 subjects (97%), respectively; FEV1 based on the equations of 3Knudsen et al (38); 4Wang et al (39). 5Ratio of eicosatrienoic (mead) acid to arachidonic acid.
p<0.01;
p<0.005; statistical significance defined as p<0.01.
p<0.05 shown for trend information.
Table 3 presents the results from the longitudinal mixed effects analyses corresponding to the three selected %LA cut-off points (≥ 20, ≥ 21, and ≥ 26), and two T:T ratio cut-off points (≤ 0.02 and ≤ 0.04). There were no statistically significant associations between T:T ratio groups and growth, body composition or pulmonary function. Growth status and FEV1 differed significantly by %LA groups. Even though some significant group differences were observed at every cut-off point, %LA associations for every clinical outcome of interest were obtained only for the cut-off point ≥ 21 %LA. Compared to the group of children with %LA < 21, children with a %LA ≥ 21 had significant better WAZ (+0.87 Z score; p=0.002; AIC=301.4), better UAMAZ (+0.93 Z score; p=0.002; AIC=426.0) and higher FEV1 (+12.9 % predicted; p=0.006; AIC=1172.0). Results did not reach statistical significance for the adjHAZ (+0.67 Z score; p=0.012; AIC=164.0). The results using a %LA cut-off point of 20 are presented to illustrate the step-wise increased associations for growth, nutritional status and FEV1 as serum %LA increased from 20 to 21. When children were divided using 26% LA as the cut-off point (the most frequently used cut-off point in the literature10;21;25–29), those with ≥26% LA had the best growth status; however, the small sample size of this group limited the power to detect statistical significance. Gender effects were not seen in any of the models. Similar longitudinal mixed effects models were performed for BMIZ and UAFAZ, and the results were not significant (not shown). While %LA status was associated with growth, body composition and FEV1 at any given point in time, it did not predict change in these clinical outcomes over one year, as the group x time interactions was not significant in any of the models.
Table 3.
The relationship between serum LA status or T:T ratio with growth, body composition, and FEV1 for the subjects with CF
Z scores | FEV1 % | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||
adjHAZ | WAZ | UAMAZ | Wang | |||||||||
Coeff | SE | p | Coeff | SE | p | Coeff | SE | p | Coeff | SE | p | |
LA cut points, mol % | ||||||||||||
| ||||||||||||
Group (≥ 20) | 0.83 | 0.35 | .017 | 0.82 | 0.37 | .024 | 0.74 | 0.38 | .052 | 5.62 | 6.21 | .366 |
Time | 0.12 | 0.04 | .007 | 0.05 | 0.07 | .455 | 0.33 | 0.11 | .002 | −2.81 | 2.51 | .263 |
Group X Time | −0.11 | 0.05 | .039 | −0.07 | 0.08 | .363 | −0.21 | 0.12 | .092 | −2.01 | 2.80 | .472 |
Gender | 0.05 | 0.26 | .855 | 0.30 | 0.27 | .254 | 0.20 | 0.26 | .437 | 1.68 | 3.37 | .619 |
Constant | −1.54 | 0.36 | .000 | −1.19 | 0.37 | .001 | −0.89 | 0.38 | .019 | 98.46 | 5.98 | .000 |
n= 63 ; n=14 | AIC=165.4 | AIC=305.7 | AIC=432.9 | AIC=1181.1 | ||||||||
| ||||||||||||
Group (≥ 21) | 0.67 | 0.27 | .012 | 0.87 | 0.28 | . 002 | 0.93 | 0.30 | .002 | 12.94 | 4.72 | .006 |
Time | 0.04 | 0.03 | .183 | 0.03 | 0.05 | .543 | 0.33 | 0.08 | .000 | −3.30 | 1.69 | .051 |
Group X Time | −0.00 | 0.04 | .913 | −0.06 | 0.07 | .365 | −0.29 | 0.10 | .005 | −2.00 | 2.24 | .372 |
Gender | 0.08 | 0.25 | .745 | 0.35 | 0.26 | .171 | 0.23 | 0.25 | .367 | 2.99 | 3.18 | .348 |
Constant | −1.27 | 0.25 | .000 | −1.05 | 0.26 | .000 | −0.83 | 0.27 | .002 | 94.88 | 4.03 | .000 |
n= 45 ; n=32 | AIC=164.0 | AIC=301.4 | AIC=426.0 | AIC=1172.2 | ||||||||
| ||||||||||||
Group (≥ 26) | 0.71 | 0.42 | .090 | 1.27 | 0.46 | .005 | 1.14 | 0.48 | .018 | 13.65 | 7.77 | .079 |
Time | 0.07 | 0.07 | .362 | −0.15 | 0.11 | .182 | 0.12 | 0.17 | .480 | −8.39 | 3.44 | .015 |
Group X Time | −0.03 | 0.08 | .712 | −0.16 | 0.12 | .171 | −0.06 | 0.18 | .764 | −4.40 | 3.63 | .225 |
Gender | −0.08 | 0.25 | .750 | 0.17 | 0.26 | .512 | 0.10 | 0.24 | .688 | 1.03 | 3.33 | .757 |
Constant | −0.16 | 0.42 | .708 | 0.69 | 0.46 | .132 | 0.78 | 0.48 | .105 | 115.59 | 7.64 | .000 |
n=8; n=69 | AIC=168.5 | AIC=303.2 | AIC=430.4 | AIC=1178.9 | ||||||||
| ||||||||||||
T:T cut points | ||||||||||||
| ||||||||||||
Group (≤ 0.02) | 0.20 | 0.28 | .471 | 0.42 | 0.30 | .168 | 0.20 | 0.32 | .524 | 2.62 | 4.92 | .594 |
Time | 0.02 | 0.03 | .536 | −0.12 | 0.05 | .019 | 0.16 | 0.08 | .047 | −4.14 | 1.63 | .011 |
Group X Time | −0.03 | 0.04 | .438 | −0.20 | 0.07 | .002 | −0.02 | 0.11 | .816 | 0.51 | 2.22 | .818 |
Gender | 0.01 | 0.27 | .979 | 0.26 | 0.29 | .362 | 0.21 | 0.27 | .442 | 2.54 | 3.53 | .471 |
Constant | −0.73 | 0.21 | .001 | −0.26 | 0.23 | .249 | −0.19 | 0.24 | .425 | 103.94 | 3.63 | .000 |
n= 37 ; n=40 | AIC=171.2 | AIC=302.3 | AIC=437.0 | AIC=1181.0 | ||||||||
T:T cut points | ||||||||||||
| ||||||||||||
Group (≤ 0.04) | 0.21 | 0.35 | .548 | 0.49 | 0.38 | .195 | 0.18 | 0.40 | .643 | 1.52 | 6.60 | .817 |
Time | 0.03 | 0.02 | .223 | −0.03 | 0.04 | .420 | 0.17 | 0.06 | .004 | −4.30 | 1.21 | .000 |
Group X Time | −0.05 | 0.06 | .368 | −0.13 | 0.08 | .114 | −0.02 | 0.13 | .902 | 0.87 | 3.06 | .776 |
Gender | −0.02 | 0.25 | .932 | 0.27 | 0.27 | .325 | 0.18 | 0.26 | .490 | 1.42 | 3.40 | .676 |
Constant | −0.78 | 0.18 | .000 | −0.41 | 0.20 | .040 | −0.25 | 0.20 | .218 | 102.94 | 3.03 | .000 |
n= 13 ; n=64 | AIC=171.1 | AIC=307.8 | AIC=437.2 | AIC=1182.0 |
Statistical significance noted for p ≤0.010 in bold.
AIC is the Akaike Information Criterion, a method employed to assess relative goodness of fit (41).
Potential differences in FA status were explored between subjects with CF and PI participating and those not participating in the behavioral intervention to boost caloric intake 12 months prior to the baseline in this study. Thirty two percent ( 25/77) of subjects participated in this intervention, and did not differ from those who did not participate with respect to age, gender, serum FA status (LA or T:T ratio) or pulmonary function at baseline. The associations of serum FA status with growth and pulmonary status were similar in both groups at baseline and 12 months, and in the LME models did not alter the significant effects of serum LA status predicting growth and pulmonary outcomes.
The relationship between T:T ratio and serum phospholipid %LA for the children with CF at baseline is shown in Figure 1. Using the Spearman rank correlation, %LA and the T:T ratio were significantly and negatively associated (r= −0.623, P<0.0001). Serum LA was ≥ 26% of total serum FA in only 10% of children with CF, and 42% had serum %LA < 21. Only one of the 45 children with %LA ≥ 21 had a T:T ratio >0.04, whereas 38% of children with %LA <21 had a T: T ratio >0.04 (Chi-square = 16.59; df 1; p < 0.001; Kappa=0.39). When comparing %LA cut-off point of 21 to T:T ratio of 0.02, 38% of children with %LA ≥ 21 had a T:T ratio >0.02, whereas 72% of the children with %LA <21 had a T:T ratio >0.02 (Chi-square = 8.71; df 1; p < 0.0013 Kappa=0.39).
Figure 1.
The relationship between T:T and %LA
DISCUSSION
The incidence of EFAD was high in children with CF and PI; depending on the T:T ratio cutoff used (0.04 or 0.02), EFAD was present in 17 or 52% of these pre-adolescent subjects, respectively. %LA and AA were lower and ETA was higher in subjects with CF compared to the control subjects. These data are the first reported to demonstrate that %LA status was correlated with FEV1 in children44, in contrast to previous studies45;46. LA status was correlated with important clinical CF outcomes of growth, muscle stores and pulmonary outcomes, whereas the currently recommended T:T ratio method of EFA status assessment47 was not.
EFAD has been frequently described in subjects with CF3;10;48–50. The most commonly reported PUFA abnormality reported in CF is decreased LA status compared to healthy control subjects51;52. The classical clinical manifestations of EFAD include desquamating skin rashes, alopecia, easy bruising, clotting disorders and impaired growth53–55. FA abnormalities and EFAD have been reported in infants with newly diagnosed CF11;56, malnourished children with CF56, and in well-nourished children8;9 with CF. The T:T ratio (ETA: AA) has also been reported to be abnormal (i.e., elevated) in studies in subjects with CF51;52. Our aim was to identify a biochemical indicator of EFAD that was related to important clinical indicators in children with CF, such as growth, body composition and/or pulmonary status. While these outcomes are influenced by many factors in CF, they also may be additional subtle, subclinical signs of EFAD.
Studies conducted in subjects with CF have identified multiple factors that influence serum LA status, including dietary fat intake and absorption3;27;57, energy intake and energy balance24;25;58, and increased FA turnover. When caloric intake is inadequate to meet energy needs (negative energy balance), LA may be utilized for energy, and may result in decreased LA body stores and status59. Low LA status has been reported in subjects with CF with normal fat absorption as well as in subjects without clinical signs of EFAD60;61. Increased FA turnover has been shown to be associated with greater AA membrane release62–65, with LA deficiency resulting in increase of pro- inflammatory eicosanoids66;67. In contrast, EFAD in non-CF subjects has been associated with decreased eicosanoid production68–71. These derangements in FA metabolism in CF may relate to the primary defect8;72, and underscore the complexities of FA abnormalities in subjects with CF, which cannot be entirely explained by dietary intake and fat malaborption alone. FA metabolism abnormalities observed in CF may be of additional biological significance for this specific population.
In healthy populations, the incidence of EFAD is rare, and the DRI15 defines LA adequacy based on typical LA intake in these populations. LA and EFAD have been traditionally described by the presence of the physical findings in deficiency states and/or by biochemical evidence (i.e., an abnormal T:T ratio). The physical findings of EFAD in children and adults are from enteral and parenteral caloric supplementation studies in which provision of fat was either very limited or withheld53–55;73. The biochemical approach to defining EFAD is by an abnormal T:T (ETA:AA) ratio, which represents a shift in the biosynthetic desaturation and elongation pathways for the omega 3, 6, and 9 FA74. These changes occur when serum ETA is increased and/or when serum AA is decreased49, resulting from diminished LA and ALA as compared to other FA such as OA in healthy subjects. The data from the current study and from the literature illustrate this shift in metabolism resulting in elevated T:T ratio with decreased LA status (Figure 1).
The T:T ratio varies by geographical location and by dietary intake patterns across healthy human populations. What constitutes typical, or within the normal range FA status can change over time for a population and/or across populations, and is exemplified by the evolution of the definition of a normal T:T ratio. The original T:T ratio of >0.04 denoting deficiency was based on the work of Holman from196020. Subsequent T:T ratio investigations in healthy populations with normal omega-6 FA status by Holman and others demonstrated a T:T ratio of 0.010 ± 0.008 (mean ± SD), leading to the recommendation that T:T >0.02 be considered abnormal18;23;28;75. This threshold has been adopted by some CF investigators27. The T:T ratio from our healthy control subjects was consistent with this revised T:T ratio; none had a T:T ratio >0.02. Similarly, geographical and population-specific dietary variations in LA intake may influence LA status76;77, thereby influencing what is considered normal %LA for different healthy groups.
The challenge in defining normal FA status in subjects with CF is in determining if CF recommendations should be limited to a comparison with a healthy population, or should reflect a CF-specific clinically meaningful cut-point. The associations of LA status with growth and nutritional status as previously reported and as presented in the current study suggest the cut-off point to define adequate EFA status in CF could be developed on the basis of health outcomes, as opposed to the methodology used to define EFA adequacy in healthy populations detailed above.
The manner in which biochemical PUFA status is reported is relevant to this discussion. LA status is most often reported in mol%, and conveys information regarding the physical properties and functional aspects of cell membranes78. Reporting FA status by absolute amounts (such as μg/dL) has been used less frequently in the CF research and clinical care literature. In addition, absolute FA concentration varies by age and does not consistently relate to mol%79. In the CF literature, reference values for serum phospholipid %LA varies from ≥20 to ≥27 mol % total FA, with %LA ≥ 26 the most frequently used value17;21;22;24–28. In the current study, %LA≥21 was an informative cut-off point for growth and pulmonary status associations in children, with a threshold effect observed. In addition T:T and %LA are biochemically related, and %LA ≥21 conveyed similar biochemical EFA status information as T:T≤0.04
This current study explored the relationship between serum EFA status and clinical measures as a secondary analysis of two studies, and this was a limitation. Since longitudinal data were available for the subjects with CF and not for the healthy controls, the predictive value of EFA status at baseline on future growth status was explored only in the subjects with CF. The possible differences in phospholipid FA profiles in fed/fasted states and with respect to diurnal variation are, in part, mitigated by the absence of reports suggesting such variations occur. In addition, an extensive body of literature suggests children with CF have lower serum LA status and EFA deficiency than healthy children. The methodology-based potential differences in serum FA status between these two groups does not alter the key findings of the relationship of serum FA status to clinically relevant outcomes in the children with CF. Lastly, since model building and hypothesis testing need to be conducted on separate data sets for hypothesis testing to be unbiased, further research is warranted to validate this specific %LA cut-off point as a new recommendation for clinical use at this time.
In summary, these findings suggest that serum LA status was a better indicator of EFA status in children with CF and PI as compared to the T:T ratio. Depending on the T:T ratio used (0.04 or 0.02), 17 or 52% of the subjects with CF has EFAD, respectively. While an abnormal T:T ratio is indicative of a shift in FA metabolism due to EFA insufficiency or deficiency, it was not related to the selected outcomes including growth and pulmonary status. In the current study, LA status was associated with these CF-specific clinically important outcomes. LA ≥ 21% was an informative marker. Prospective studies are required to confirm and expand these findings prior to making recommendations for use of this specific %LA cut point as a change in standards of clinical care. As an interim step, we suggest that LA status be determined in addition to the T:T ratio for assessment of EFA status in children with CF and PI, in the development of optimal nutritional care of patients with CF.
Acknowledgments
Supported in part by the NHLBI (R01HL57448), the Clinical Translational Research Center (CTRC: UL RR 0241340) and the Nutrition Center at The Children’s Hospital of Philadelphia, the Cystic Fibrosis Foundation, and the Swedish Research Council (4995).
The authors participated in the following ways: the conception and design of the study (AM, JIS, BSZ, VAS), the acquisition of data (JIS, BSZ, VAS), the analysis and interpretation of the data, and writing of the manuscript (AM, JIS, JFGE, BS, BSZ, VAS). All authors have read and approved the final version of the manuscript to be submitted for publication.
We would like to thank our participating children and families, the Cystic Fibrosis Centers who have made this study possible, and Nutrition and Growth Lab staff at the Children’s Hospital of Philadelphia. Participating CF Centers included: Albany Medical Center, Albany, NY; Children’s Hospital of Buffalo, Buffalo, NY; Children’s Hospital of Philadelphia, Philadelphia, PA; Children’s Medical Center Dayton, Dayton, OH; Children’s National Medical Center, Washington DC; Egleston Center at Emory University, Atlanta, GA; Hershey Medical Center, Hershey, PA; Johns Hopkins Children’s Center, Baltimore, MD; Long Island College Hospital, NY; Schneider’s Children’s Hospital of Long Island, NY; St. Christopher’s Hospital for Children, Philadelphia, PA; State University of New York, Stony Brook, NY; and University of Florida, Gainesville, FL. The project described was supported by Grant Number UL RR 0241340 from the National Center for Research Resources.
Abbreviations
- AI
Adequate Intake, g/day
- ALA
Alpha-linolenic acid, mol% total fatty acids
- AdjHAZ
Height for age Z score, adjusted for genetic potential
- AA
Arachidonic acid, mol% total fatty acids
- BMIZ
Body Mass Index (kg/m2) Z score
- CHOP
Children’s Hospital of Philadelphia
- CF
Cystic Fibrosis
- CTRC
Clinical Translational Research Center
- DHA
Docosahexaenoic Acid, mol% total fatty acids
- DRI
Dietary Reference Intake
- EER
Estimated energy requirement, %
- EFA
Essential fatty acid
- EFAD
Essential fatty acid deficiency
- ETA
Eicosatrienoic (Mead) acid, mol% total fatty acids
- FA
Fatty Acids
- %FEV1
Forced expiratory volume at 1 second, % predicted value
- FFM
Fat free mass, kg
- LA
Linoleic acid, mol% total fatty acids
- OA
Oleic acid, mol% total fatty acids
- PI
Pancreatic Insufficiency
- PUFA
Polyunsaturated fatty acid
- T:T
Triene to tetraene ratio (FA ratio of ETA; AA)
- UAFAZ
Upper arm fat area Z score
- UAMAZ
Upper arm muscle area Z score
- WAZ
Weight for age Z score
Footnotes
Disclaimers: none
The authors have no conflict of interest.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health.
Reference List
- 1.Stubbs CD, Smith AD. The modification of mammalian membrane polyunsaturated fatty acid composition in relation to membrane fluidity and function. Biochim Biophys Acta. 1984;779:89–137. doi: 10.1016/0304-4157(84)90005-4. [DOI] [PubMed] [Google Scholar]
- 2.Clarke SD. The multi-dimensional regulation of gene expression by fatty acids: Polyunsaturated fats as nutrient sensors. Curr Opin Lipidol. 2004;15:13–8. doi: 10.1097/00041433-200402000-00004. [DOI] [PubMed] [Google Scholar]
- 3.Kuo PT, Huang NN, Bassett R. The fatty acid composition of the serum chylomicrons and adipose tissue of children with cystic fibrosis of the pancreas. J Pediatr. 1962;60:394–403. doi: 10.1016/s0022-3476(62)80065-1. [DOI] [PubMed] [Google Scholar]
- 4.Strandvik B, Berg U, Kallner A, et al. Effect on renal function of essential fatty acid supplementation in cystic fibrosis. J Pediatr. 1989;115:242–50. doi: 10.1016/s0022-3476(89)80072-1. [DOI] [PubMed] [Google Scholar]
- 5.Strandvik B, Hultcrantz R. Liver function and morphology during long-term fatty acid supplementation in cystic fibrosis. Liver. 1994;14:32–6. doi: 10.1111/j.1600-0676.1994.tb00004.x. [DOI] [PubMed] [Google Scholar]
- 6.Strandvik B. Polyunsaturated Fatty Acid in Human Nutrition. New York: Raven Press; 1992. Long chain fatty acid metabolism and essential fatty acid deficiency with special emphasis on cystic fibrosis; pp. 159–67. [Google Scholar]
- 7.Strandvik B. Relation between essential fatty acid metabolism and gastrointestinal symptoms in cystic fibrosis. Acta Paediatr Scand Suppl. 1989;363:58–63. doi: 10.1111/apa.1989.78.s363.58. discussion 63–5:58–63. [DOI] [PubMed] [Google Scholar]
- 8.Strandvik B, Gronowitz E, Enlund F, et al. Essential fatty acid deficiency in relation to genotype in patients with cystic fibrosis. J Pediatr. 2001;139:650–5. doi: 10.1067/mpd.2001.118890. [DOI] [PubMed] [Google Scholar]
- 9.Roulet M, Frascarolo P, Rappaz I, et al. Essential fatty acid deficiency in well nourished young cystic fibrosis patients. Eur J Pediatr. 1997;156:952–6. doi: 10.1007/s004310050750. [DOI] [PubMed] [Google Scholar]
- 10.Farrell PM, Mischler EH, Engle MJ, et al. Fatty acid abnormalities in cystic fibrosis. Pediatr Res. 1985;19:104–9. doi: 10.1203/00006450-198501000-00028. [DOI] [PubMed] [Google Scholar]
- 11.Marcus MS, Sondel SA, Farrell PM, et al. Nutritional status of infants with cystic fibrosis associated with early diagnosis and intervention. Am J Clin Nutr. 1991;54:578–85. doi: 10.1093/ajcn/54.3.578. [DOI] [PubMed] [Google Scholar]
- 12.Stark LJ, Knapp LG, Bowen AM, et al. Increasing calorie consumption in children with cystic-cibrosis - Replication with 2-year follow-up. Journal of Applied Behavior Analysis. 1993;26:435–50. doi: 10.1901/jaba.1993.26-435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Stark LJ, Mulvihill MM, Powers SW, et al. Behavioral intervention to improve calorie intake of children with cystic fibrosis: Treatment versus wait list control. Journal of Pediatric Gastroenterology and Nutrition. 1996;22:240–53. doi: 10.1097/00005176-199604000-00005. [DOI] [PubMed] [Google Scholar]
- 14.Trabulsi J, Ittenbach RF, Schall JI, et al. Evaluation of formulas for calculating total energy requirements of preadolescent children with cystic fibrosis. Am J Clin Nutr. 2007;85:144–51. doi: 10.1093/ajcn/85.1.144. [DOI] [PubMed] [Google Scholar]
- 15.Institute of Medicine. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Washington, DC: National Academy Press; 2002. Energy; pp. 5–1–5–114. [DOI] [PubMed] [Google Scholar]
- 16.Folch J, Lees M, Sloane-Stanley GH. A simple method for the isolation and purification of total lipids from animal tissues. J Biol Chem. 1957;226:497–509. [PubMed] [Google Scholar]
- 17.Gronowitz E, Mellstrom D, Strandvik B. Serum phospholipid fatty acid pattern is associated with bone mineral density in children, but not in adults, with cystic fibrosis. Br J Nutr. 2006;95:1159–65. doi: 10.1079/bjn20061778. [DOI] [PubMed] [Google Scholar]
- 18.Holman RT, Smyth RL, Johnson S. Effect of sex and age on fatty acid composition of human serum lipids. Am Journal Clin Nutr. 1979;32:2390–9. doi: 10.1093/ajcn/32.12.2390. [DOI] [PubMed] [Google Scholar]
- 19.Holman RT, Johnson SB, Ogburn PL. Deficiency of essential fatty acids and membrane fluidity during pregnancy and lactation. Proc Natl Acad Sci U S A. 1991;88:4835–9. doi: 10.1073/pnas.88.11.4835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Holman R. The ratio of trienoic: Tetraenoic acids in tissue lipids as a measure of essential fatty acid requirement. J Nutr. 1960:405–10. doi: 10.1093/jn/70.3.405. [DOI] [PubMed] [Google Scholar]
- 21.Chase HP, Cotton EK, Elliott RB. Intravenous linoleic acid supplementation in children with cystic fibrosis. Pediatrics. 1979;64:207–13. [PubMed] [Google Scholar]
- 22.Decsi T, Koletzko B. Fatty acid composition of plasma lipid classes in healthy subjects from birth to young adulthood. Eur J Pediatr. 1994;153:520–5. doi: 10.1007/BF01957009. [DOI] [PubMed] [Google Scholar]
- 23.Jeppensen PB, Hoy CE, Mortensen P. Essential fatty acid deficiency in patients receiving home parenteral nutrition. Am J Clin Nutr. 1998;68:126–33. doi: 10.1093/ajcn/68.1.126. [DOI] [PubMed] [Google Scholar]
- 24.Landon C, Kerner JA, Castillo R, et al. Oral correction of essential fatty acid deficiency in cystic fibrosis. J Parenter Enteral Nutr. 1981;5:501–4. doi: 10.1177/0148607181005006501. [DOI] [PubMed] [Google Scholar]
- 25.Parsons HG, Oloughlin EV, Forbes D, et al. Supplemental calories improve essential fatty-acid deficiency in cystic-fibrosis patients. Pediatr Res. 1988;24:353–6. doi: 10.1203/00006450-198809000-00016. [DOI] [PubMed] [Google Scholar]
- 26.Rettammel AL, Marcus MS, Farrell PM, et al. Oral supplementation with a high-fat, high-energy product improves nutritional status and alters serum lipids in patients with cystic fibrosis. J Am Diet Assoc. 1995;95:454–9. doi: 10.1016/S0002-8223(95)00121-2. [DOI] [PubMed] [Google Scholar]
- 27.Shoff SM, Ahn HY, Davis L, et al. Temporal associations among energy intake, plasma linoleic acid, and growth improvement in response to treatment initiation after diagnosis of cystic fibrosis. Pediatrics. 2006;117:391–400. doi: 10.1542/peds.2004-2832. [DOI] [PubMed] [Google Scholar]
- 28.Siguel EN, Chee KM, Gong JX, et al. Criteria for essential fatty acid deficiency in plasma as assessed by capillary column gas-liquid chromatography. Clin Chem. 1987;33:1869–73. [PubMed] [Google Scholar]
- 29.van Egmond AW, Kosorok MR, Koscik R, et al. Effect of linoleic acid intake on growth of infants with cystic fibrosis. Am J Clin Nutr. 1996;63:746–52. doi: 10.1093/ajcn/63.5.746. [DOI] [PubMed] [Google Scholar]
- 30.Lohman T, Roche AR, Martorell R. Anthropometric Standardization Reference Manual. Champaign, IL: Human Kinetics; 1988. [Google Scholar]
- 31.Himes JH, Roche AF, Thissen D, et al. Parent-specific adjustments for evaluation of recumbent length and stature of children. Pediatrics. 1985;75:304–13. [PubMed] [Google Scholar]
- 32.Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, et al. CDC Growth Charts: United States. Adv Data. 2000:1–27. [PubMed] [Google Scholar]
- 33.Frisancho AR. Anthropometric Standards for Assessment of Growth and Nutritional Status. Ann Arbor, MI: University of Michigan Press; 1990. [Google Scholar]
- 34.Frisancho AR. New norms of upper limb fat and muscle areas for assessment of nutritional status. Am J Clin Nutr. 1981;34:2540–5. doi: 10.1093/ajcn/34.11.2540. [DOI] [PubMed] [Google Scholar]
- 35.Morris A, Kanner RE, Crapo R, et al. Clinical Pulmonary Function Testing: A Manual of Uniform Laboratory Procedures. 2. Salt Lake City, UT: Intermountain Thoracic Society; 1984. pp. 1–24. [Google Scholar]
- 36.Gardner RM. Report of snowbird workshop on standardization of spirometry. Am Rev Resp Dis. 1979;119:831–8. doi: 10.1164/arrd.1979.119.5.831. [DOI] [PubMed] [Google Scholar]
- 37.Zapletal A. Lung function in children and adolescents - methods, reference values. In: Herzog H, editor. Progress in Respiration Research. Pratteln, Switzerland: Offsetdruck; 1987. [Google Scholar]
- 38.Knudson RJ, Lebowitz MD, Holberg CJ, et al. Changes in the normal maximal expiratory flow-volume curve with growth and aging. Am Rev Respir Dis. 1983;127:725–34. doi: 10.1164/arrd.1983.127.6.725. [DOI] [PubMed] [Google Scholar]
- 39.Wang X, Dockery DW, Wypij D, et al. Pulmonary function between 6 and 18 years of age. Pediatr Pulmonol. 1993;15:75–88. doi: 10.1002/ppul.1950150204. [DOI] [PubMed] [Google Scholar]
- 40.Laird N, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982;38:963–74. [PubMed] [Google Scholar]
- 41.Akaike H. New Look at Statistical-Model Identification. IEEE Transactions on Automatic Control. 1974;AC19:716–23. [Google Scholar]
- 42.Tukey JW, Ciminera JL, Heyse JF. Testing the statistical certainty of a response to increasing doses of a drug. Biometrics. 1985;41:295–301. [PubMed] [Google Scholar]
- 43.Zhang J, Quan H, Ng J, et al. Some statistical methods for multiple endpoints in clinical trials. Controlled Clinical Trials. 1997;18:204–21. doi: 10.1016/s0197-2456(96)00129-8. [DOI] [PubMed] [Google Scholar]
- 44.Maqbool A, Schall J, Zemel B, et al. Essential fatty acid status and growth and pulmonary function in children with cystic fibrosis. Pediatric Pulmonology. 2004;337 [Google Scholar]
- 45.Gibson RA, Teubner JK, Haines K, et al. Relationships between pulmonary function and plasma fatty acid levels in cystic fibrosis patients. J Pediatr Gastroenterol Nutr. 1986;5:408–15. doi: 10.1097/00005176-198605000-00013. [DOI] [PubMed] [Google Scholar]
- 46.Thompson GN. Relationships between essential fatty acid levels, pulmonary function and fat absorption in pre-adolescent cystic fibrosis children with good clinical scores. Eur J Pediatr. 1989;148:327–9. doi: 10.1007/BF00444126. [DOI] [PubMed] [Google Scholar]
- 47.Borowitz D, Baker RD, Stallings V. Consensus report on nutrition for pediatric patients with cystic fibrosis. J Pediatr Gastroenterol Nutr. 2002;35:246–59. doi: 10.1097/00005176-200209000-00004. [DOI] [PubMed] [Google Scholar]
- 48.Bennett MJ, Medwadowski BF. Vitamin A, vitamin E, and lipids in serum of children with cystic fibrosis or congenital heart defects compared with normal children. Am J Clin Nutr. 1967;20:415–21. doi: 10.1093/ajcn/20.5.415. [DOI] [PubMed] [Google Scholar]
- 49.Holman RT. Nutritional and metabolic interrelationships between fatty acids. Fed Proc. 1964;23:1062–7. [PubMed] [Google Scholar]
- 50.Underwood BA, Denning CR, Navab M. Polyunsaturated fatty acids and tocopherol levels in patients with cystic fibrosis. Ann N Y Acad Sci. 1972;203:237–47. doi: 10.1111/j.1749-6632.1972.tb27879.x. [DOI] [PubMed] [Google Scholar]
- 51.Cawood AL, Carroll MP, Wootton SA, et al. Is there a case for n-3 fatty acid supplementation in cystic fibrosis? Curr Opin Clin Nutr Metab Care. 2005;8:153–9. doi: 10.1097/00075197-200503000-00008. [DOI] [PubMed] [Google Scholar]
- 52.Coste T, Armand M, Lebacq J, et al. An overview of monitoring and supplementation of omega 3 fatty acids in cystic fibrosis. Clinical Biochemistry. 2007;40:511–20. doi: 10.1016/j.clinbiochem.2007.01.002. [DOI] [PubMed] [Google Scholar]
- 53.Hans AE, Wiese HF, Boelsche AN, et al. Role of linoleic acid in infant nutrition. Clinical and chemical study of 428 infants fed ion milk mixture varying in kind and amount of fat. Pediatrics. 2006;21:171–92. [Google Scholar]
- 54.Hansen AE, Haggard ME, Boelsche AN, et al. Essential fatty acids in infant nutrition. III. Clinical manifestations of linoleic acid deficiency. J Nutr. 1958;66:565–76. doi: 10.1093/jn/66.4.565. [DOI] [PubMed] [Google Scholar]
- 55.Paulsrud JR, Pensler L, Whitten CF, et al. Essential fatty acid deficiency in infants induced by fat-free intravenous feeding. Am J Clin Nutr. 1972;25:897–904. doi: 10.1093/ajcn/25.9.897. [DOI] [PubMed] [Google Scholar]
- 56.Lai HC, Kosorok MR, Laxova A, et al. Nutritional status of patients with cystic fibrosis with meconium ileus: a comparison with patients without meconium ileus and diagnosed early through neonatal screening. Pediatrics. 2000;105:53–61. doi: 10.1542/peds.105.1.53. [DOI] [PubMed] [Google Scholar]
- 57.Goyens PL, Spilker ME, Zock PL, et al. Conversion of alpha-linolenic acid in humans is influenced by the absolute amounts of alpha-linolenic acid and linoleic acid in the diet and not by their ratio. Am J Clin Nutr. 2006;84:44–53. doi: 10.1093/ajcn/84.1.44. [DOI] [PubMed] [Google Scholar]
- 58.Cunnane SC, Belza K, Anderson MJ, et al. Substantial carbon recycling from linoleate into products of de novo lipogenesis occurs in rat liver even under conditions of extreme dietary linoleate deficiency. J Lipid Res. 1998;39:2271–6. [PubMed] [Google Scholar]
- 59.Hubbard VS. What is the association of essential fatty acid status with cystic fibrosis? Eur J Pediatr. 1983;141:68–70. doi: 10.1007/BF00496792. [DOI] [PubMed] [Google Scholar]
- 60.Brown AJ, Pang E, Roberts DC. Persistent changes in the fatty acid composition of erythrocyte membranes after moderate intake of n-3 polyunsaturated fatty acids: Study design implications. Am J Clin Nutr. 1991;54:668–73. doi: 10.1093/ajcn/54.4.668. [DOI] [PubMed] [Google Scholar]
- 61.Hubbard VS, McKenna MC. Absorption of safflower oil and structured lipid preparations in patients with cystic fibrosis. Lipids. 1987;22:424–8. doi: 10.1007/BF02537273. [DOI] [PubMed] [Google Scholar]
- 62.Berguerand M, Klapisz E, Thomas G, et al. Differential stimulation of cytosolic phospholipase A2 by bradykinin in human cystic fibrosis cell lines. Am J Respir Cell Mol Biol. 1997;17:481–90. doi: 10.1165/ajrcmb.17.4.2734. [DOI] [PubMed] [Google Scholar]
- 63.Carlstedt-Duke J, Bronnegard M, Strandvik B. Pathological regulation of arachidonic acid release in cystic fibrosis: The putative basic defect. Proc Natl Acad Sci U S A. 1986;83:9202–6. doi: 10.1073/pnas.83.23.9202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Levistre R, Lemnaouar M, Rybkine T, et al. Increase of bradykinin-stimulated arachidonic acid release in a delta F508 cystic fibrosis epithelial cell line. Biochim Biophys Acta. 1993;1181:233–9. doi: 10.1016/0925-4439(93)90026-w. [DOI] [PubMed] [Google Scholar]
- 65.Miele L, Cordella-Miele E, Xing M, et al. Cystic fibrosis gene mutation (deltaF508) is associated with an intrinsic abnormality in Ca2+-induced arachidonic acid release by epithelial cells. DNA Cell Biol. 1997;16:749–59. doi: 10.1089/dna.1997.16.749. [DOI] [PubMed] [Google Scholar]
- 66.Chase HP, Dupont J. Abnormal levels of prostaglandins and fatty-acids in blood of children with cystic-fibrosis. Lancet. 1978;2:236–8. doi: 10.1016/s0140-6736(78)91746-4. [DOI] [PubMed] [Google Scholar]
- 67.Strandvik B, Svensson E, Seyberth HW. Prostanoid biosynthesis in patients with cystic fibrosis. Prostaglandins Leukot Essent Fatty Acids. 1996;55:419–25. doi: 10.1016/s0952-3278(96)90125-8. [DOI] [PubMed] [Google Scholar]
- 68.Friedman Z. Essential fatty acids revisited. Am J Dis Child. 1980;134:397–408. doi: 10.1001/archpedi.1980.04490010051017. [DOI] [PubMed] [Google Scholar]
- 69.Horrobin DF, Manku MS, Huang YS. Effects of essential fatty acids on prostaglandin biosynthesis. Biomed Biochim Acta. 1984;43:S114–S120. [PubMed] [Google Scholar]
- 70.Lerner R, Lindstrom P, Berg A, et al. Development and characterization of essential fatty acid deficiency in human endothelial cells in culture. Proc Natl Acad Sci U S A. 1995;92:1147–51. doi: 10.1073/pnas.92.4.1147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Mathias MM, Dupont J. Quantitative relationships between dietary linoleate and prostaglandin (eicosanoid) biosynthesis. Lipids. 1985;20:791–801. doi: 10.1007/BF02534404. [DOI] [PubMed] [Google Scholar]
- 72.Bhura-Bandali FN, Suh M, Man SFP, et al. The Delta F508 mutation in the cystic fibrosis transmembrane conductance regulator alters control of essential fatty acid utilization in epithelial cells. Journal of Nutrition. 2000;130:2870–5. doi: 10.1093/jn/130.12.2870. [DOI] [PubMed] [Google Scholar]
- 73.Wene JD, Connor WE, DenBesten L. The development of essential fatty acid deficiency in healthy men fed fat-free diets intravenously and orally. The Journal of Clinical Investigation. 1975;56:127–34. doi: 10.1172/JCI108061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Peter JH, Kubow JK, Shils M, Moshe S, Ross AC, et al., editors. Modern Nutrition in Health and Disease. 10. Philadelphia, PA: Lippincot Williams & Wilkins; 2006. pp. 92–122. [Google Scholar]
- 75.Mascioli E, Lopes S, Champagne C, et al. Essential fatty acid defiency and home total parenteral nutrition patients. Nutrition. 1996;12:245–9. doi: 10.1016/s0899-9007(96)90850-3. [DOI] [PubMed] [Google Scholar]
- 76.Ailhaud G, Massiera F, Weill P, et al. Temporal changes in dietary fats: role of n-6 polyunsaturated fatty acids in excessive adipose tissue development and relationship to obesity. Prog Lipid Res. 2006;45:203–36. doi: 10.1016/j.plipres.2006.01.003. [DOI] [PubMed] [Google Scholar]
- 77.Kris-Etherton PM, Taylor DS, Yu-Poth S, et al. Polyunsaturated fatty acids in the food chain in the United States. Am J Clin Nutr. 2000;71:179S–88S. doi: 10.1093/ajcn/71.1.179S. [DOI] [PubMed] [Google Scholar]
- 78.Lloyd-Still JD, Johnson SB, Holman RT. Essential fatty acid status and fluidity of plasma phospholipids in cystic fibrosis infants. Am J Clin Nutr. 1991;54:1029–35. doi: 10.1093/ajcn/54.6.1029. [DOI] [PubMed] [Google Scholar]
- 79.Lagerstedt SA, Hinrichs DR, Batt SM, et al. Quantitative determination of plasma c8-c26 total fatty acids for the biochemical diagnosis of nutritional and metabolic disorders. Mol Genet Metab. 2001;73:38–45. doi: 10.1006/mgme.2001.3170. [DOI] [PubMed] [Google Scholar]