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The Journal of Nutrition Vol. 127 No. 4 April 1997, pp. 566-573
Copyright ©1997 by the American Society for Nutritional Sciences

Lipid Level and Type Alter Stearoyl CoA Desaturase mRNA Abundance Differently in Mice with Distinct Susceptibilities to Diet-Influenced Diseases1,2

Eric I. Park, Elizabeth A. Paisley, Heather J. Mangian3, Deborah A. Swartz4, MaoXin Wu*, 5, Patricia J. O'Morchoe*, Stephen R. Behrdagger , Willard J. Visek, and Jim Kaput**, 6

Department of Internal Medicine, * Department of Pathology, Division of Nutritional Sciences, University of Illinois College of Medicine, Urbana, IL 61801; dagger  Department of Medical Nutrition Research and Development, Ross Products Division, Abbott Laboratories, Columbus, OH 43216; and ** The Sapient's Institute, Molecular Genetics in Nutrition Program, Dallas, TX 75209

ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
ACKNOWLEDGMENT
FOOTNOTES
LITERATURE CITED8


ABSTRACT

Chronic diseases develop in susceptible individuals following exposure to environmental conditions including high fat diets. Inbred strains of mice differing in susceptibility to atherosclerosis, diabetes, obesity and certain cancers are models for understanding the genetic basis and molecular mechanisms whereby diet influences these polygenic and multifactorial disorders. Expression sequence tags (EST) and disease quantitative trait loci (QTL) are also being identified with these strains. Reported here are comparisons of food intake, growth, nonfasting serum lipids and expression of mRNA for hepatic apolipoprotein E (ApoE), hepatic stearoyl CoA desaturase (Scd1) and heart lipoprotein lipase (Lpl) in a 2 × 2 × 2 design with C57BL/6J and BALB/cByJ mice fed semipurified diets with 4 or 20% saturated (coconut) or unsaturated (corn) oils for 4 mo. Histological studies of aortas and coronary arteries are also reported for these animals. After 4 mo, BALB/cByJ mice were significantly heavier and had significantly higher total serum cholesterol, HDL cholesterol and triglyceride concentrations in the fed state than C57BL/6J mice. Efficiency of utilizing dietary energy did not differ consistently between strains. Oil level affected serum total cholesterol, triglycerides and HDL cholesterol, which were significantly greater in mice fed high fat diets. Lpl and ApoE mRNA expression levels were not significantly affected by mouse strain, oil source or oil level. Scd1 mRNA expression, however, was significantly higher in C57BL/6J than in BALB/cByJ mice and was lower in all mice fed 20% compared with those fed 4% fat diets. Genes regulated differently by diet among strains with distinct susceptibility to diet-influenced disease may be associated with molecular pathways contributing to incidence or severity.

Key words: diet, inbred mouse strains, serum lipids, stearoyl CoA desaturase, disease genes.


INTRODUCTION

Epidemiological and laboratory animal studies indicate that diets high in fat increase the incidence and severity of atherosclerosis, diabetes, obesity and cancer in susceptible individuals (reviewed in NRC 1989). Because diet changes disease phenotype, certain dietary components must regulate expression of a subset of genes whose involvement in disease development (Berg 1989, Kaput et al. 1994, Kirk et al. 1995) appears to be regulated differently in genetically distinct individuals. Except for familial and dominant mutations, chronic diseases are outcomes of contributions from many genes interacting with environmental factors (e.g., Berg 1989, Grundy 1995, Hegele 1992, Kirk et al. 1995, NRC 1989).

Certain inbred strains of mice, established by at least 20 generations of brother × sister matings, show higher susceptibility than other strains to experimentally induced disease. They have been used experimentally to identify quantitative and qualitative chromosomal loci (reviewed in Frankel 1995) and to define molecular events responsible for disease development. Changes in abundances of mRNA-encoding genes participating in lipid metabolism have also been compared within or between inbred mouse strains fed normal diets (Kirk et al. 1995, Srivastava 1996, Srivastava et al. 1991 and 1992) or atherosclerosis-inducing diets (Kirchgessner et al. 1989, LeBeouf et al. 1994, Liao et al. 1993, Qiao et al. 1993, Uelmen et al. 1995, Warden et al. 1989). Based upon the evidence, some diet-regulated or other genes are likely to participate in disease induction or severity. These have been referred to as level and variability genes (Berg 1989, Kirk et al. 1995).

Our laboratories have collaborated in developing a multistep procedure (Elliott et al. 1993, Kaput et al. 1994, Paisley et al. 1996, Swartz et al. 1996) for identifying diet-regulated genes and for testing the hypothesis that such genes participate in disease development (Kaput et al. 1994 and this report). The first step in our protocol involves the isolation of genes or expression sequence tags (EST)7 regulated by diet (Elliott et al. 1993) in tissues of disease-free virgin female mice fed semipurified diets. When desirable, the precision of the model can be refined by the feeding of chemically purified diets. Step 2 analyzes mRNA abundance between inbred strains differing in disease susceptibility before signs of the disease are evident. Our working hypothesis is that genes regulated differently between strains by the same diet may be among the subset involved in producing differences in disease phenotypes between strains. The third step compares the chromosomal map position of the differently regulated genes to independently derived quantitative trait loci (QTL). Others have proposed mapping disease-specific expressed sequence tags (EST) with independently derived QTL (Berry et al. 1995) for identifying candidate disease genes, an example of association analyses (Risch and Merikangas 1996). EST regulated by the same nutritional factors that produce the disease and overlapping disease QTL maps have been defined as candidate disease genes (Risch and Merikangas 1996) for analyses in humans or animals showing the disease, the last step of our proposed protocol.

We previously isolated hepatic apolipoprotein E (ApoE) and stearoyl CoA desaturase (Scd1) (Elliott et al. 1993) using the above described experimental model in screens for diet-regulated genes. We report here the analyses of hepatic ApoE, hepatic Scd1, and heart Lpl mRNA abundance in C57BL/6J and BALB/cByJ mice fed semipurified diets with 4 or 20% corn or coconut oils for 4 mo. C57BL/6 are more susceptible to diet-induced atherosclerosis (Paigen et al. 1987 and 1990), type II diabetes (Seldin et al. 1994, Surwit et al. 1995), and express certain genes involved in lipid metabolism differently than BALB/c mice (Kirk et al. 1995 and this report). Food intake, growth, nonfasting serum lipids, histological sections of aortas and coronary arteries were also analyzed to assess their influence or correlation with gene regulation. This report is an example of the second step of our protocol.


MATERIALS AND METHODS

Animals, diets and protocols. Eighty virgin female BALB/cByJ and C57BL/6J mice, 6-7 wk old, were purchased from The Jackson Laboratory (Bar Harbor, ME). They were fed a semipurified diet containing 4% corn oil for 1 wk and then randomly assigned to diets containing 4% corn oil, 20% corn oil, 4% coconut oil or 20% coconut oil for an additional 15 wk (Fig. 1). Each diet contained 1.4% of the respective total oil content as soybean oil to assure adequate fatty acid content (NRC 1995, Reeves et al. 1993). The diets (Table 1), formulated according to modified AIN-76 guidelines (NRC 1995, Reeves et al. 1993), were pelleted and color coded by Research Diets (New Brunswick, NJ). Mice were caged and fed individually with free access to food and distilled water in temperature-controlled rooms maintained at 23 ± 1°C with a 12-h light:dark cycle. Animal care met University of Illinois and National Institutes of Health guidelines. Food spillage was also monitored throughout the course of the experiment. Efficiencies of energy utilization were calculated from the recorded weekly weight gain/calculated weekly energy intake. At 16 wk, all mice were deprived of food for 12 h and offered a preweighed 3-g pellet of their assigned diet. After 2 h, the uneaten food was removed; 2 h later, all mice were injected intramuscularly with 0.02 mL/g body weight of ketaset/xylazine mixture (Ketaset, Fort Dodge Laboratories, Ft. Dodge, IA) for collection of blood via cardiac puncture. Immediately thereafter, they were killed by cervical dislocation and their livers and hearts were removed, individually frozen in liquid nitrogen, and stored at -80°C for mRNA isolation.
Fig. 1. Body weights of C57BL/6J and BALB/cByJ mice fed 4 or 20% corn or coconut oil during a 16-wk feeding study. Body weights (means ± SEM) and food intakes (see text) for five C57BL/6J and five BLB/cByJ mice fed each dietary treatment were monitored twice per week during the feeding study and the averages within each group at monthly intervals are plotted. BALB/cByJ mice at 6-7 wk of age weighed more initially than C57BL/6J mice (19.0 vs. 16.1 g, respectively) at 6-7 wk of age and throughout the 16-wk feeding study (P < 0.0001). BALB/cByJ mice averaged 26.9 g compared with 22.2 g for C57BL/6 mice at the end of the study.
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Table 1. Diet composition

[View Table]

DNA probes. cDNAs for lipoprotein lipase (Genbank/EMBL: J02740), rat glyceraldehyde-3-phosphate dehydrogenase (GAPDH), mouse beta -actin and stearoyl CoA desaturase (Scd1, Genbank/EMBL: J04190, M21285) were as described previously (Paisley et al. 1996, Swartz et al. 1996). A DNA fragment encoding nucleotides 681 to 806 of apolipoprotein E mRNA (Genbank/EMBL: D00466, M12414) was isolated in a second screen for diet-regulated genes. cDNA were excised from the vectors, isolated (Ausubel et al. 1987) and labeled by random priming or polymerase chain reaction (PCR) amplification in the presence of alpha -32P-deoxycytidine-5-triphosphate (dCTP, 111 TBq/mmol, ICN, Irvine, CA) as described by Paisley at al. (1996) and Swartz et al. (1996).

Northern hybridization analyses. Twenty micrograms of total RNA, isolated from livers by the Ultra-spec II RNA isolation system (Biotecx, Houston, TX), was resolved by electrophoresis in gels containing 1.2% agarose and 2.2 mol/L formaldehyde for 2.5 h at 110 V. Sizes of mRNA were estimated by comparisons to a synthetic RNA ladder electrophoresed simultaneously. Gels were subsequently stained with 0.5 mg/L ethidium bromide and photographed to verify rRNA quality. RNA was blotted onto nylon membranes (U.S. Biochemical, Cleveland, OH) following standard protocols (Ausubel et al. 1987). Blots were prehybridized at 42°C with 50% formamide, 5X standard sodium citrate (SSC), 1X Denhardt's solution, 0.02 mol/L sodium phosphate (pH 6.8), 0.1 g/L denatured salmon sperm DNA, 1 mmol/L EDTA, 0.2% SDS and 10% dextran sulfate (Ausubel et al. 1987). After overnight hybridization at 42°C, the membranes were washed twice at room temperature with 1X SSC containing 0.5% SDS for 20 min. Two 15-min washes with 0.5X SSC/0.5% SDS and one 15-min wash in 0.25X SSC/0.5% SDS at 65°C followed. Membranes were placed next to preflashed (Laskey 1980) Kodak XAR film at -80°C, and electrophoretic patterns were analyzed in the linear range of the film (Laskey 1980). Membranes of liver RNAs were rehybridized with a beta -actin to control for the total RNA per well. Glyceraldehyde-3-phosophate dehydrogenase (Paisley et al. 1996) served as the control for RNA in hearts, which express two actin mRNAs. beta -Actin and GAPDH are believed to be unaffected by changes in metabolism and are used as controls for mRNA abundance measurements (e.g., Ausubel et al. 1987). Because ethidium bromide staining of nucleic acids is a relatively insensitive measure of RNA loading with 10-20 µg loaded per lane, mRNA abundance is reported as the ratio of specific transcripts to control transcripts. RNA from livers of 80 mice (10 from each dietary treatment) and hearts from 40 mice (5 from each dietary treatment) were analyzed. Hybridization signals were quantified with a Molecular Dynamics 425S phosphorimager (Molecular Dynamics, Sunnyvale, CA). Abundances of specific mRNA were normalized to the amount of beta -actin or GAPDH mRNA within the same electrophoretic lane.

Table 2. Serum total cholesterol, HDL cholesterol and triglyceride concentrations in BALB/cByJ and C57BL/6J mice fed 4 or 20% corn oil or coconut oil for 15 wk1,2

[View Table]


Fig. 2. Serum triglyceride concentrations in C57BL/6J and BALB/cByJ mice fed 4 or 20% corn or coconut oil during a 16-wk feeding study. Serum triglyceride concentrations (means ± SEM) are reported for 8-10 C57BL/6J and 8-10 BALB/cByJ mice fed each dietary treatment (except BALB/cByJ fed 20% coconut oil, where n = 5). Triglyceride concentrations were affected by interactions between strain and source (P < 0.0009) and among strain, oil source and oil level (P < 0.014). The latter interaction is indicated by (a,b) where values with the same letter differ from values with different letters. See Table 2 for main effects.
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Fig. 3. HDL cholesterol concentrations in C57BL/6J and BALB/cByJ mice fed 4 or 20% corn or coconut oil during a 16-wk feeding study. HDL cholesterol concentrations (means ± SEM) are reported for 8-10 C57BL/6J and 8-10 BALB/cByJ mice fed each dietary treatment (except BALB/cByJ fed 20% coconut oil, where n = 6, and C57BL/6J mice fed 4% corn oil, where n = 7). There were no significant interactions for HDL cholesterol concentrations. See Table 2 for main effects.
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Serum lipids, histology and statistical analyses. Serum lipid profiles were determined for total cholesterol (Sigma Kit 352-20), triglycerides (Sigma 339-10) and HDL cholesterol (Sigma 352-3) using kit protocols (Sigma Chemical, St. Louis, MO). Samples were analyzed in duplicate and reaction mixtures were adjusted to 200 µL for the well volume of 96 well plates. Hearts and aortas from 40 mice (5 from each dietary treatment) were fixed in Karnovski's fixative and embedded in JB4 media (Polysciences, Warrington, PA) for sectioning, staining (Aparicio and Marsden 1969) and microscopic examination at magnifications of 40X and 400X. Identity of all sections was coded and unknown to the examiner. The Statistical Analyses System-General Linear Model (SAS GLM) program (SAS 1987) was employed for statistical computing with post-hoc analyses of statistical significance by Tukey's Multiple Range Comparison (HSD) (Steele and Torrie 1980). Results are reported as means ± SEM.


RESULTS

Food intake and weight gain. Growth curves for BALB/cByJ and C57BL/6J mice fed different types and levels of dietary fat for 16 wk are shown in Fig. 1. BALB/cByJ mice at 6-7 wk of age weighed more initially than C57BL/6J mice (19.0 vs. 16.1 g, respectively) at 6-7 wk of age and throughout the 16-wk feeding study (P < 0.0001). BALB/cByJ mice averaged 26.9 g compared with 22.2 g for C57BL/6 mice at the end of the study. Energy intake of BALB/cByJ mice was 53.8 ± 5.4 kJ/d during the 16-wk study, significantly more (P < 0.005) than that of C57BL/6J mice (45.5 ± 3.3 kJ/d). However, there were no consistently significant differences between strains in efficiency of energy utilization (data not shown). Mice fed diets with 20% oil consumed 54.3 ± 8.8 kJ/d compared with 45.1 ± 5.4 kJ/d for mice fed 4% oils, but no differences were observed in weekly energy efficiencies. Both C57BL/6J and BALB/cByJ mice fed 20% oil consumed more energy (24.2 ± 4.9 vs. 16.7 ± 5.8 kJ) in the 2-h refeeding period than their counterparts fed 4% oil (P < 0.0001), but there was no difference between strains.
Fig. 4. Serum total cholesterol concentrations in C57BL/6J and BALB/cByJ mice fed 4 or 20% corn or coconut oil during a 16-wk feeding study. Serum total cholesterol concentrations (mean ± SEM) are reported for 8-10 C57BL/6J and 8-10 BALB/cByJ mice fed each dietary treatment (except BALB/cByJ fed 20% coconut oil where n = 7). Main effects are reported in Table 2. Interactions between strain and oil level (P < 0.0517), strain and oil soure (P < 0.0793), and level and source (P < 0.0801) approached statistical significance.
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Serum lipid concentrations. Fed BALB/cByJ mice had higher serum triglycerides (P < 0.01), HDL cholesterol (P < 0.0001) and total cholesterol (P < 0.0001) than did C57BL/6J mice (Table 2). The higher concentration of dietary oil also resulted in greater serum HDL cholesterol (P < 0.01), serum triglycerides (P < 0.001) and total cholesterol (P < 0.001) (Table 2). Serum triglyceride concentrations showed significant interactions between strain and oil source (P < 0.001) and between strain and dietary oil level and source (P < 0.01) (Fig. 2), but no interactions were significant for cholesterol (Fig. 3). Interactions tended to be significant between strain and dietary oil concentration (P < 0.06) and between strain and source (P < 0.08) and source and dietary oil level (P < 0.08) for serum total cholesterol concentrations (Fig. 4). Significant correlations between total cholesterol and HDL cholesterol (r = 0.631, P < 0.001) and triglycerides and total cholesterol were found (Table 3). There were no significant correlations between these serum lipid concentrations and body weight, total energy intake or energy eaten in the last meal (not shown).

Table 3. Pearson correlation analysis of strain, serum total cholesterol, HDL cholesterol and triglyceride concentrations in BALB/cByJ and C57BL/6J mice fed 4 or 20% corn oil or coconut oil for 15 wk1,2,3

[View Table]

Gene expression. Representative hybridization analyses are shown for hepatic stearoyl CoA desaturase and beta -actin mRNA from individual BALB/cByJ (Fig. 5A) and C57BL/6J (Fig. 5B) mice fed one of the four diets with averages of Scd1/beta -actin mRNA ratios for all in each treatment shown in Figure 6A (BALB/cByJ) and Figure 6B (C57BL/6J). Relative Scd1 levels were significantly higher (P < 0.03) in mice fed diets containing 4% of either oil even though mice eating 20% oil diets consumed more energy during their last meal. Scd1/beta -actin mRNA ratios were significantly higher (P < 0.04) in C57BL/6J mice, but there were no significant differences in Scd1/beta -actin between corn oil- and coconut oil-fed mice. There were no significant interactions between strain and dietary source or concentration. Significant differences in hepatic ApoE and heart lipoprotein lipase mRNA expression due to strain, oil level or oil source were not found (data not shown).
Fig. 5. Effect of the level and type of dietary fat on hepatic stearoyl CoA desaturase (Scd1) expression in C57BL/6J and BALB/cBJ mice fed 4 or 20% corn or coconut oil during a 16-wk feeding study. RNA from four individual BALB/cByJ (A) and four C57BL/6J (B) mice fed 4% corn oil (lane 1), 20% corn oil (lane 2), 4% coconut oil (lane 3) and 20% coconut oil (lane 4) was separated on agarose gels and blotted. The resulting membranes were hybridized with radiolabeled Scd1 and beta -actin probes as described in Materials and Methods. Similar data from 8-10 mice from each dietary treatment are summarized in Figure 4.
[View Larger Version of this Image (36K GIF file)]


Fig. 6. Hepatic stearoyl CoA desaturase (Scd1) expression in C57BL/6J and BALB/cByJ mice fed 4 or 20% corn or coconut oil during a 16-wk feeding study. Scd1 mRNA levels (representative results shown in Figure 3), normalized to beta -actin mRNA, from 8-10 BALB/cByJ (A) and 8-10 C57BL/6J (B) mice of each dietary treatment were analyzed. Results are means ± SEM. Scd1/beta -actin mRNA ratio was greater in C57BL/6J mice (P < 0.04) and higher in all mice fed 4% of either oil compared with those eating 20% of either oil.
[View Larger Version of this Image (36K GIF file)]

Pearson correlation analyses (Table 3) showed a weak inverse correlation (r = -0.237) between Scd1/beta -actin and HDL levels that approached significance (P < 0.08). Lpl/GAPDH mRNA ratios were significantly correlated (r = 0.517, P < 0.01 ) with cholesterol levels and there tended to be a negative correlation (r = -0.398) approaching significance between Scd1/beta -actin and Lpl/GAPDH mRNA ratios (P < 0.08).

Histology. Forty hearts, examined for histological evidence of lesion development, showed no abnormalities except for three from BALB/cByJ mice (not shown). Thickening of the tunica intima in a coronary artery was observed in one BALB/cByJ mouse fed 4% coconut oil. One BALB/cByJ mouse fed 4% and one fed 20% corn oil showed swelling of endothelial linings of their aortas.


DISCUSSION

We analyzed growth, serum lipid values, and abundance of Scd1, Lpl, and ApoE mRNA (i.e., genetic factors) in BALB/cByJ and C57BL/6J mice fed different types and concentrations of dietary lipids, factors that influence disease severity in studies similar to Kirk et al. (1995). Our analyses were done in the absence of atherogenic chemicals added to a semipurified diet and without evidence of disease processes, which might influence gene expression or serum lipid concentrations in strains which differ in predisposition to diet-influenced diseases.

In our study, BALB/cByJ mice were significantly heavier than C57BL/6J mice initially at 6-7 wk of age and throughout the subsequent 16-wk feeding period, but the weight gain/energy intake ratios were the same regardless of strain, oil level or oil source. Accuracy of intake measurements was facilitated by feeding compressed food pellets to individually housed mice with weighing of uneaten particles. The difference in energy intake during the 2 h when the last meal was available for mice fed 20% oil (24.2 kJ) compared with those eating 4% oil (16.7 kJ) may have resulted from differences in energy, texture or ease of eating the high fat diet. There were no significant correlations between energy intake and serum lipid values or between energy intake and levels of ApoE, Lpl, or Scd1 mRNA.

BALB/cByJ mice had significantly higher concentrations of total cholesterol, triglycerides and HDL cholesterol than C57BL/6J mice, in agreement with other investigators (Lusis et al. 1989). The increases in total cholesterol, triglycerides and HDL cholesterol were qualitatively and in some cases quantitatively similar to those seen in these and other strains fed high fat diets with and without added cholesterol (Kirk et al. 1995, Srivastava 1996, Srivastava et al. 1991 and 1992) and atherogenic diets containing added cholic acid, cocoa butter and cholesterol (Hwa et al. 1992, LeBeouf et al. 1994, Nishina et al. 1993, Paigen et al. 1990, Warden et al. 1989). Saturated fat (coconut oil) significantly increased triglyceride levels in C57BL/6J but not in BALB/cByJ mice, and it did not alter total serum cholesterol or HDL cholesterol concentrations. Serum triglyceride concentrations were also affected by interactions among strain, oil level and oil source, demonstrating the importance of nutrient-genotype interactions. The variation in concentration in serum lipids for the same strains reported by different laboratories may be related to differences in diet composition because fatty acids and other ingredients vary among preparations of unpurified diets (e.g., Lardinos et al. 1989). Variations in serum lipid concentrations may also result from differences among studies in time between the last meal and the time of sampling (Kirk et al. 1995).

Heart lipoprotein lipase, hepatic stearoyl CoA desaturase, and hepatic apolipoprotein E mRNA abundances were analyzed as a follow-up of our previous isolation of Scd1 and ApoE in screens for diet-regulated genes. In our studies, abundance of hepatic ApoE and heart Lpl mRNA was unrelated to strain, fat level, fat source or energy intake in the last meal when mRNA levels were analyzed 2 h postprandially. Although others have shown strain differences in heart Lpl enzymatic activity (Ben-Zeev et al. 1983), Lpl mRNA levels are presumably not transcriptionally regulated by diet in hearts of mice (Kirchgessner et al. 1989) or rats (Erskine et al. 1993). Our Lpl data agree with this conclusion. Hepatic ApoE mRNA abundance was not regulated by level or source of oil. Others (Ishida et al. 1990) found strain (C57BL/6 and C3H/J)-specific differences in serum apolipoprotein E concentrations afterovernight food deprivation in mice fed unpurified vs. a highly atherogenic diet, suggesting that our results may be confounded because we analyzed expression 2 h postprandially. We previously found significant effects of fat level and time of eating on the regulation of Lpl (Paisley et al. 1996) and ApoE in 10-wk-old BALB/cHnn mice denied food for 12 h compared with those that had eaten. Some diet-regulated genes differ in their expression related to ime of eating (LeBeouf et al. 1994, Paisley et al. 1996, Swartz et al. 1996) or age (Rao et al. 1989), showing that experimental variables in addition to dietary constituents may alter mRNA concentrations.

Significant differences in Scd1 mRNA abundance, a measure of transcription and mRNA stability, were observed between mice fed different levels of dietary fat when data from all BALB/cByJ and C57BL/6J mice were included in the analyses. Analyses of BALB/cByJ and C57BL/6J Scd1 regulatory regions indicated that differences in mRNA abundance were probably not due to sequence differences in the proximal 750 bp promoter region (data not shown). Sequences further upstream of this region were not analyzed. The results of this study confirm our findings showing fivefold greater abundance of Scd1 mRNA in livers of BALB/cHnn mice fed diets containing a low vs. high percentage of corn oil (Elliott et al. 1993, Paisley et al. 1996). Others found that Scd1 was regulated by saturation of dietary fat and by carbohydrates in livers of CD-1 male mice and rats (reviewed in Ntambi 1995), and more recently, by the peroxisome proliferator-inducing chemical, clofibrate (Diczfalusy et al. 1995). Hepatic Scd1/beta -actin mRNA ratios tended to be higher in coconut oil-fed mice than in corn oil-fed mice. Diet composition or time between the last meal and time of killing may have been responsible for the observed differences between our studies and others (Ntambi 1992 and 1995). Scd1 expression showed significant strain differences, with BALB/c mice having lower expression than C57BL/6 mice, a strain susceptible to diet-induced atherosclerosis (Paigen et al. 1990), obesity and type II diabetes (Seldin et al. 1994, Surwit et al. 1995).

Pearson correlation analyses showed weak negative associations approaching significance between Scd1 abundance and HDL and Lpl abundance levels. Lpl abundance was significantly correlated with serum cholesterol concentrations. Because the concentrations and abundances of serum lipids and different mRNA are expected to be affected by multiple factors, it is not surprising that the correlations were weak. Although significant correlations show associations, it is not clear whether these interactions were directly linked or whether they correlated because of independent linkages with other common factors.

Candidate genes, which include those regulated by diet or other environmental factors (e.g., Berry et al. 1995), may be identified genetically if they map within disease or complex trait loci (e.g., QTL) and if they have some association with the disease process (Risch and Merikangas 1996). A small but growing number of disease QTL have been identified in humans and in laboratory animals (e.g., Berry et al. 1995, Risch et al. 1993, Seldin et al. 1994, and reviewed in Frankel 1995, Sim et al. 1995), but many possible loci remain unidentified because of the number of possible nutritional and genetic combinations yet to be analyzed (e.g., Patterson et al. 1991, Risch and Merikangas 1996). Consequently, genes not mapping to a QTL can not be excluded from participating in disease processes. ApoE maps to a region of mouse chromosome (Chr) 7 (Encylcopedia of the Mouse Genome 1996), which overlaps a Type I diabetic QTL (Risch et al. 1993), and its overexpression in transgenic mice reduced the hyperlipidemia associated with experimentally induced diabetes (Yamamoto et al. 1995). Neither Scd1 (Chr19) (Keller et al. 1994) nor Lpl (Chr8) (Encylcopedia of the Mouse Genome 1996) map to known disease QTL, although Scd1 can be misregulated by streptozocin in rats (Waters and Ntambi 1995) and experimentally induced hypertriglyceridemia in diabetic mice was decreased in transgenic mice overexpressing Lpl (Shimada et al. 1995). Additional experiments are required to test whether Scd1 or other diet-regulated genes are involved in the molecular mechanism of disease.


ACKNOWLEDGMENT

The authors thank Peter Imrey (Department of Medical Statistics, University of Illinois College of Medicine, Urbana, IL) for helpful discussions concerning statistical analyses.


FOOTNOTES

1   Supported by grants from the U.S. Department of Agriculture (91-01631), The American Institute for Cancer Research (NCB93B63), a gift from Abbot Laboratories (Columbus, OH) and the University of Illinois Colleges of Medicine and Agriculture. D.A.S. and E.A.P. were supported by predoctoral fellowships from the American Institute of Nutrition. D.A.S. was also supported by a National Institutes of Health traineeship (PHS ST-32AM07497).
2   The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 USC section 1734 solely to indicate this fact.
3   Current address: Department of Food Science, Division of Nutritional Sciences, University of Illinois, Urbana, IL.
4   Current address: Division of Gastroenterology, Washington University School of Medicine, St. Louis, MO 63110. 
5   Current address: Long Island Jewish Medical Center, 400 Lakeville Rd., New Hyde Park, NY 11042-1110. 
6   To whom correspondence should be addressed at Northwestern University, 300 East Superior Ave. Chicago, IL 60611.
7   Abbreviations used: ApoE, apolipoprotein E; Chr, chromosome; EST, expressed sequence tags; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; Lpl, lipoprotein lipase; PCR, polymerase chain reaction; QTL, quantitative trait loci; Scd1, stearoyl CoA desaturase; SSC, standard sodium citrate.
8   Reviews are referenced when appropriate. The most recent publication from a given laboratory describing a system was cited unless specific values from earlier papers were discussed.

Manuscript received 7 August 1996. Initial reviews completed 23 September 1996. Revision accepted 10 January 1997.


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J. Kaput, K. G. Klein, E. J. Reyes, W. A. Kibbe, C. A. Cooney, B. Jovanovic, W. J. Visek, and G. L. Wolff
Identification of genes contributing to the obese yellow Avy phenotype: caloric restriction, genotype, diet x genotype interactions
Physiol Genomics, August 11, 2004; 18(3): 316 - 324.
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J. Kaput and R. L. Rodriguez
Nutritional genomics: the next frontier in the postgenomic era
Physiol Genomics, January 15, 2004; 16(2): 166 - 177.
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DiabetesHome page
F. Castro-Chavez, V. K. Yechoor, P. K. Saha, J. Martinez-Botas, E. C. Wooten, S. Sharma, P. O'Connell, H. Taegtmeyer, and L. Chan
Coordinated Upregulation of Oxidative Pathways and Downregulation of Lipid Biosynthesis Underlie Obesity Resistance in Perilipin Knockout Mice: A Microarray Gene Expression Profile
Diabetes, November 1, 2003; 52(11): 2666 - 2674.
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