Open Access

Different responsiveness to a high-fat/cholesterol diet in two inbred mice and underlying genetic factors: a whole genome microarray analysis

Nutrition & Metabolism20096:43

DOI: 10.1186/1743-7075-6-43

Received: 27 July 2009

Accepted: 17 October 2009

Published: 17 October 2009



To investigate different responses to a high-fat/cholesterol diet and uncover their underlying genetic factors between C57BL/6J (B6) and DBA/2J (D2) inbred mice.


B6 and D2 mice were fed a high-fat/cholesterol diet for a series of time-points. Serum and bile lipid profiles, bile acid yields, hepatic apoptosis, gallstones and atherosclerosis formation were measured. Furthermore, a whole genome microarray was performed to screen hepatic genes expression profile. Quantitative real-time PCR, western blot and TUNEL assay were conducted to validate microarray data.


After fed the high-fat/cholesterol diet, serum and bile total cholesterol, serum cholesterol esters, HDL cholesterol and Non-HDL cholesterol levels were altered in B6 but not significantly changed in D2; meanwhile, biliary bile acid was decreased in B6 but increased in D2. At the same time, hepatic apoptosis, gallstones and atherosclerotic lesions occurred in B6 but not in D2. The hepatic microarray analysis revealed distinctly different genes expression patterns between B6 and D2 mice. Their functional pathway groups included lipid metabolism, oxidative stress, immune/inflammation response and apoptosis. Quantitative real time PCR, TUNEL assay and western-blot results were consistent with microarray analysis.


Different genes expression patterns between B6 and D2 mice might provide a genetic basis for their distinctive responses to a high-fat/cholesterol diet, and give us an opportunity to identify novel pharmaceutical targets in related diseases in the future.


Western-type/high-fat diets are a well-established risk factor for both atherosclerosis and gallstones, due to the consequent high levels of circulating [1] or biliary cholesterol [2]. The liver is an essential organ in maintaining cholesterol homeostasis because of its capability to clear excessive cholesterol from blood through direct excretion into the bile [3] or the bile acid synthesis pathway [4]. Alteration in cholesterol homeostasis may lead to accumulation of excessive cholesterol in bodies and deleterious consequences. Elevated blood cholesterol levels, especially LDL, will eventually lead to atherosclerosis [5]. At the same time, hypersecretion of cholesterol into bile is a prerequisite for gallstones formation [6]. In addition, accumulating data have suggested that genetics plays a pivotal role in cholesterol homeostasis and subsequent gallstones formation and atherosclerosis. For instance, mutation of ABCG5/G8 (ATP-binding cassette, sub-family G (WHITE), member 5/8) limits biliary excretion of sterols and alters susceptibility to gallstones and atherosclerosis [7].

Inbred mice strains have been a powerful force in elucidating the genetic basis of human physiology and pathophysiology [8]. When fed to a high-fat/cholesterol diet, inbred mice strains show varying susceptibilities to atherosclerosis and gallstones respectively. C57BL/6J (B6) mice are susceptible and DBA/2J (D2) mice are resistant to both atherosclerosis and gallstones [911]. The analysis of differences in the responsiveness among inbred strains to high-fat/cholesterol diets is leading to new insights into associated diseases including atherosclerosis, diabetes, obesity and gallstones [11]. Although researchers have exerted great efforts using genetic tools to illuminate the genetic factors underlying the different responses to high-fat/cholesterol diets between inbred mice strains [12], the mechanisms have not been clearly elucidated. In the past decades, microarray technology has provided a powerful tool to study genetic and molecular events in complex diseases [13]. Here, studies were designed to examine the dynamically different responses to a high-fat/cholesterol diet between C57BL/6J (B6) and DBA/2J (D2) inbred mice, and uncover the underlying genetic factors using Affymetrix microarray technology as well. This may provide us an opportunity to predict the risks of developing high-fat diets related diseases, and construct a basis for identification of candidate genes in humans.


Animals and Diets

Six weeks-old B6 and D2 female mice were purchased from Shanghai SLAC Laboratory Animal CO. LTD, China, and maintained in temperature and humidity-controlled room. Mice were fed a high-fat/cholesterol diet (0.5%cholic acid, 1.25%cholesterol and 15%fat) for 0(control), 1, 4, 12 and 21 weeks respectively, with 10 mice of each strain for each time point. Blood was collected through inferior cava veins. Biliary bile was aspirated from the gallbladder with sterile injectors. All procedures were approved by the Institutional Animal Care and Use Committee of Shanghai Institutes for Biological Science.

Serum and bile cholesterol assay

Serum and bile total cholesterol (TC), HDL-cholesterol and Biliary total bile acid levels were assayed using a Total Cholesterol Kit, HDL-Cholesterol Kit and Total Bile Acids Kit (Shenzhen Mindray Bio-Medical Electronics Co., Ltd, China). Serum cholesterol esters were assayed using High Performance Liquid Chromatography (HPLC) in Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences.

Evaluation of atherosclerotic lesions and gallstones

Hearts containing upper sections of the aorta were collected and evaluation of aortic lesions was performed using the Oil-red O method described by Beverly Paigen [14]. Briefly, every other 10 μm section of aortic sinus was fixed on polylysine-coated microscope slides and stained with Oil-red O. Aortic surface lesion sizes were evaluated by using the grid on the microscope eyepiece and presented as μm2. Gallstones formation was detected by naked eyes and described as the percentage of stone presence among mice of the same group. Gallstones in the same group at each time-point were pooled and weighed.

Liver tissues RNA Extraction and microarray experiments

Liver tissues were removed from mice and stored in liquid nitrogen until use. Total RNA was extracted by using Trizol reagent (Invitrogen) according to the manufacturer's instructions, and purified by using a RNeasy Mini Kit (Qiagen). RNA samples of each group were then used to generate biotinylated cRNA targets for the Affymetrix GeneChip Mouse Genome 430 2.0 Array, which contained 39000 transcripts. All experiments were performed by following the protocol of Affymetrix Inc.

After hybridization, arrays were stained in the Fluidics Station 450 and scanned on the Affymetrix Scanner 3000. Fluorescent signal intensities for all spots on the arrays were analyzed using the Gene Chip Operating System (GCOS; Affymetrix). Ratios were calculated between 0 week and the rest of time points within the same mouse strain, and then between two strains at each of five time points. Genes with a fold change of at least 2 were selected for further analysis. Hierarchical analysis was performed using Cluster 3.0 to define the genes expression patterns. Furthermore, the selected genes were grouped in functional categories based on Gene Ontology database (GO:, and functional pathways (KEGG and BIOCARTA) were also analyzed by using DAVID 2007.

Quantitative real-time polymerase chain reaction (QRT-PCR)

To validate microarray data, QRT-PCR was performed for every mouse at each time point of two strains. It was operated on an ABI 7900 instrument with gene-specific primers and SYBR Green PCR Master Mix (Applied Biosystems) according to the manufacturer's recommendation. Reaction conditions are available on request. The PCR primers used in this study are listed at Table S1 in Additional file 1.

TUNEL Assay and Western blot analysis

Apoptosis of liver cells was detected by immunohistochemical TUNEL (Terminal Transferase dUTP Nick End Labeling) assay using in situ cell death detection kit, Fluorescein (Roche). Formalin-fixed liver tissues were embedded in OCT compound for cryostat sectioning, and 5-μm sections were fixed on polylysine-coated microscope slides for TUNEL assay according to the manufacturer's instructions. Sections were analyzed under a fluorescence microscope (objective ×20). Positively stained nuclei of liver cells were counted for analysis.

Liver tissues were homogenized and proteins were extracted by using RIPA Lysis Buffer (Beyotime Institute of Biotechnology, China) containing Phosphatase Inhibitor Cocktail Tablets (Roche) according to the manufacturer's instructions. Western blot was performed according to the methods described previously [15]. Antibodies to Hspa1b, Parp and Cyp7a1 were commercially obtained from Abcam (Cambridge, MA), Cell Signaling Technology (Beverly, MA) and Santa Cruz Biotechnology, separately.

Statistical Analysis

All values were presented as mean ± SD. Statistical analysis was performed using ANOVA and the Student's t test, and p < 0.05 was considered significantly different.


Dynamic distribution of cholesterol in serum and bile and bile acid yields

As shown in Figure 1, after fed the high-fat/cholesterol diet, serum total cholesterol (TC) levels in B6 mice increased as early as the 1st week and reached their peaks at 12 weeks. Non-HDL and cholesteryl linoleate cholesterol levels also reached their peaks at 12 weeks. However, the HDL cholesterol level decreased after the 12th week. In contrast, these cholesterol levels did not significantly change in D2 mice.
Figure 1

Dynamic distribution of cholesterol and bile acids. The x-axis represents each time point. The y-axis depicts concentrations (mmol/l). Solid lines represent data in C57BL/6J (B6) mice and dashed lines represent data in DBA/2J (D2) mice. *P < 0.05 (compared to 0th week), #P < 0.05 (compared to D2 mice); A: Total cholesterol (TC) in serum; B: Total cholesterol (TC) in bile; C: Non-HDL cholesterol in serum; D: HDL cholesterol in serum; E: Cholesterol esters (Cholsteryl oleate and linoleate) in serum; F: Total bile acids in bile.

As total cholesterol levels in serum increased, the bile total cholesterol levels in B6 mice also significantly increased as early as the 1st week, with its peak at four weeks. However, biliary bile acid levels decreased in B6 mice and increased in D2 mice after the 4th week.

Gallstones and atherosclerotic lesions development

The two strains considerably differed in the prevalence of gallstones. We observed that 10% of B6 mice developed gallstones as early as the 4th week, when bile cholesterol concentration had reached its peak, while bile acids decreased after. The gallstone percentage increased to 80% at 12 weeks and reached 100% at 21 weeks, when bile cholesterol was maintained at higher levels. The weights of gallstones were also distinctly increased after the 4th week. However, atherosclerotic lesions were observed only at 21 weeks. Of note, Oil-red O stained lesions (7800 ± 211 μm2) were present in aortas of all B6 mice at 21 weeks. In contrast, neither atherosclerotic lesions nor gallstones formation was detected in D2 mice at any time point. See Figure S1 in Additional file 2 for details.

Gene expression profile and pathway analysis

Using the 2-fold change cutoff, we identified 1191 genes for further analysis including 1051 known genes and 140 ESTs. Detailed information of these genes was listed at Table S2 in Additional file 3. The overall functional categories of these genes were grouped into transcription regulation, protein modification, transport, cell cycle/adhesion/apoptosis, signal transduction, immune response/inflammation, lipid metabolism, cell metabolism, development, RNA processing and others or unknown function (See Figure S2 in Additional file 4). Using hierarchical cluster analysis, we observed that the two inbred mice strains had distinctly different genes expression patterns. Most of the genes up-regulated or down-regulated in B6 mice might have the opposite patterns in D2 mice (Figure 2A).
Figure 2

Hierarchical cluster of differentially expressed genes between B6 and D2 mice. All the relevant genes are grouped by hierarchical clustering based on expression values (log2ratios) across all the samples. Ratios were calculated between 0 week and the rest of time points in each mouse strains. Samples (Four time-points in C57BL/6J and DBA/2J, respectively) are displayed in columns and genes in rows. Gene expression is represented as a color, normalized across each row, with brighter red for higher values and brighter green for lower values. A. Heatmap of all the differentially expressed genes, most of which have different expression patterns between B6 and D2; B. Heatmap of genes involved in some major pathways, gene symbols listed to the right.

To examine whether there was recognizable biological relevance to the genes expression patterns, further functional pathway analysis was performed. Using the combination of GO, KEGG and BIOCARTA, we observed that genes were involved in several key functional pathway groups such as lipid metabolism, oxidative stress, immune response/inflammation and cell apoptosis.

We observed that multiple lipid metabolism genes were differentially expressed between B6 and D2 mice. For instance, genes Abca1 (ATP-binding cassette sub-family A member 1), Abcg5, Abcg8 and Soat2 (sterol O-acyltransferrase2) were up-regulated in B6 mice but unchanged in D2 mice. Soat1 (sterol O-acyltransferase1) were up-regulated in B6 mice but down-regulated in D2 mice.Cyp7a1 (cytochrome P450 family 7 subfamily a polypeptide 1) and Cyp8b1 (cytochrome P450 family 8 subfamily b polypeptide 1) were down-regulated in B6 mice but up-regulated in D2 mice.

We also found that batches of oxidative stress relevant genes represented different expression patterns between B6 and D2. Nox4 (Nadph oxidase4), Homx1 (heme oxygenase 1) and Saa(serum amyloid A) were up-regulated in B6 mice but down-regulated in D2 mice, whereas,Hspa1b (heat shock protein 1b) was down-regulated in B6 mice and up-regulated in D2 mice. Moreover, a number of genes involved in immune response and inflammation signaling pathways such as T cell receptor signaling pathway, leukocyte transendothelial migration, MHCI and MHCII pathways were altered, and most of these genes were up-regulated in B6 mice and down-regulated in D2 mice. Meanwhile, abundant apoptosis pathway genes such as Bcl2-like 11, Bid (BH3 interacting domain death agonist), Casp9 (caspase9) and Parp were also differentially regulated.Bcl2-like 11 and Parp were up-regulated in B6 mice and down-regulated in D2 mice. Bid and Casp9 were up-regulated in B6 mice but not altered in D2 mice.

Except for the above mentioned major pathways, genes expression in adherens junction and purine metabolism pathways was also differentially altered between B6 and D2. The heatmap of modulated genes involved in functional pathways was shown in Figure 2B. More information about detailed pathways and their corresponding genes were listed at Table S3 in Additional file 5.

Finally, to exclude the underlying differences prior to feeding and the influence of age factor on the gene expression levels, we also compared genes expression between B6 and D2 mice at the same time-point. We observed dominant expression patterns at all four time-points after 0 week. Most genes were up-regulated and few were down-regulated. The result coincided with our above findings (See Figure S3 in Additional file 6).

Confirmation by quantitative real time PCR

Fourteen representative gallstones or atherosclerosis relevant genes which functioned in lipid metabolism, bile acid synthesis, immune/inflammation and apoptosis were selected to validate the results of the microarray analysis. The quantitative real time PCR results exhibited a high coincidence with microarray results (Figure 3A, B, and 3C).
Figure 3

Real time PCR validation of regulated genes in microarray. Data were represented in three groups: A: cholesterol metabolism genes; B: inflammation and apoptosis genes; C: bile acid synthesis genes. The horizontal axis represents time points and the vertical axis represents log2ratio of each time point against 0 week in microarray and Real-time PCR data. Solid lines represent microarray data and dashed lines represent Real-time PCR data; marked with black triangles were data in C57BL/6J (B6) mice and marked with black circles were data in DBA/2J (D2) mice.

TUNEL assay and Western blot

Under a fluorescence microscope, normal cells radiated weak green light while apoptotic cells radiated strong green light. Comprehensive counts showed that apoptotic liver cells appeared increasingly in B6 mice from the 1st week to the 21st week, however, this observation was not found in D2 mice (Figure 4A and 4B). We also observed that more apoptotic cells occurred at the 4th week when gallstones were primarily formed, and the most apoptotic cells appeared at the 21st week when atherosclerotic lesions were detected.
Figure 4

TUNEL Assay (immunoflurescent labelling) and Western-blot analysis. A: C57BL/6J mice, apoptotic liver cells radiating strong green light, normal cells radiating weak green light:DBA/2J mice, little apoptotic liver cells appeared. Time-course is shown from left to right; B: Apoptosis index (percentage) in C57BL/6J and DBA/2J mice. X-axis represent time-points, y-axis represents cell apoptosis percentage. *P < 0.05 (compared to 0 week), #P < 0.05(compared to DBA/2J). C: Western blot analysis for selected proteins indicated proteins expression was also differentially changed. Proteins regulation was seen for Hspa1b, Parp and Cyp7a1.Beta-Actin served as loading control.

Several apoptosis, gallstones or atherosclerosis relevant genes were selected to perform western-blot. As showed in Figure 4C, the multifunctional protein Hspa1b was clearly down-regulated in B6 mice and slightly up-regulated in D2 mice. The expression of apoptosis marker protein Parp was elevated in B6 mice and its activated form (89KD) was also observed at 1,4,12 and 21 weeks, which was unable to be detected in D2 mice. Cyp7a1, a key rate-limiting enzyme of bile acid synthesis, showed decreased expression in B6 mice but increased expression in D2 mice.


In the present study, we applied an animal model to delineate the different responses to a high-fat/cholesterol diet between B6 and D2 inbred mice, and uncover underlying genetic factors for these different responses.

We found an interesting and distinctive dynamic distribution of cholesterol and bile acid yields between B6 and D2 strains. We hypothesized that under the challenge of a high-fat/cholesterol diet, D2 mice, which are resistant to both gallstones and atherosclerosis, might prevent this damage through an increased bile acid synthesis approach; whereas, B6 mice might only avoid the damage by their limited direct secretion of cholesterol into bile. The hepatic genes expression profiles confirmed our hypothesis, and provided more information by identifying differentially expressed genes in pathways of lipid metabolism, oxidative stress, immune response/inflammation and apoptosis.

Abca1, Abcg5 and Abcg8 belong to the family of ABC transporters, which can mediate secretion of excessive cholesterol into bile and play important roles in consequent gallstones or atherosclerosis [16]. Cytochrome P450 subfamily members Cyp7a1 and Cyp8b1 were pivotal enzymes of converting cholesterol into bile acids in bile acid synthesis pathway [17]. After fed the high-fat/cholesterol diet, Abca1, Abcg5 and Abcg8 genes expression increased, but Cyp7a1 and Cyp8b1 decreased since the 1st week in B6 mice. This indicated bile acid synthesis might be depressed, excessive cholesterol might directly excrete into bile and result in elevated bile TC in B6 mice. We observed the highest fold-changes of Abcg5 and Abcg8 at the 4th week in B6, which were 9.5 and 6.3 folds respectively. The distinct up-regulation of genes Abcg5 and Abcg8 might implicate hypersecretion of cholesterol into bile and lead to gallstones formation. Interestingly, we noticed the peak of bile TC level and primary gallstones formation at the 4th week. Thereafter, gallstones were increasingly formed; serum TC slightly lowered after the 12th week and atherosclerotic lesions were not formed until the 21stweek. This might indicate a potential role of gallstones formation in lowering serum cholesterol and protective effects in atherosclerosis formation. To date, the xenobiotic substrates of Abcg5 and Abcg8 have been used for regulating gallstones formation and treatments of cardiovascular disease, whereas the limited protective mechanism may not confer the expected reduction in cardiovascular risks in hypercholesterolemic patients [18]. In contrast, we observed no alteration of Abca1, Abcg5 and Abcg8 genes expression but increased levels of Cyp7a1 and Cyp8b1 in D2 mice. Our results suggested that excessive cholesterol might be eliminated by elevated bile acid synthesis pathway in D2 mice. To our knowledge, transgenic expression of Cyp7a1 might efficiently eliminate excessive cholesterol and inhibit formation of gallstones and atherosclerosis in mice [19]. In the present study, neither gallstones nor atherosclerosis was found in D2 mice. Therefore, modulation of enzymes and nuclear receptors involved in bile acid synthesis might be potential pharmaceutical targets to control hypercholesterolemia and prevent gallstones and atherosclerosis.

Modulation of Cyp7a1 may differ among inbred mice as a result of diverse dietary and genetic factors. It is reported that two high-fat diets contained safflower oil and 0.5% sodium cholate with and without added cholesterol (0.5%) resulted in differential expression levels of Cyp7a1 among nine inbred mice strains [20]. It is worthwhile to note that FXR (farnesoid × receptor) and LXR (Liver × receptor) α are negative and positive regulators of Cyp7a1. Cholic acid component is needed for FXR activation and that cholic acid, cholesterol and high fat are necessary for activating LXRα. The different balance between LXRα and FXR actions may lead to the diverse effects of dietary cholesterol on Cyp7a1 expression [21]. In the present study, both the transcript and protein levels of Cyp7a1 decreased in B6 and increased in D2 mice, which coincided with previous study [20]. Intriguingly, we observed that FXR target gene Shp or Nr0b2 (short heterodimer partner, nuclear receptor subfamily 0, group B, member 2) was clearly increased in B6 but not altered in D2. This suggested that LXRα and FXR dominant actions might differ between B6 and D2. Thus, Cyp7a1 might be modulated by different nuclear receptors, resulting in diverse regulation of cholesterol and subsequently varying susceptibilities to gallstones and atherosclerosis. Besides Cyp7a1 and Cyp8b1, many other cytochrome P450 subfamily members such as Cyp2c44, Cyp2c55 and Cyp3a13 were also differently modulated. Further investigation in their functions and regulators might help identifying novel target genes of gallstones and atherosclerosis. In addition, genes Soat1 and Soat2 are known to encode ACAT1 and ACAT2 enzymes in catalyzing the formation of cholesteryl esters, an important process during atherosclerosis formation [22]. ACAT inhibitors have been reported to increase bile acid synthesis by up-regulation of Cyp7a1 expression in cultured rat hepatocytes [23]. In the present study, we observed that genes Soat1 and Soat2 were differently regulated between B6 and D2. This might provide a good demonstration that cholesteryl esters levels differed, and susceptibilities to gallstones and atherosclerosis varied between B6 and D2. Taken together, our findings suggested that the different distribution of cholesterol, and varying susceptibilities to gallstones and atherosclerosis might partly be attributable to diverse modulation of lipid metabolism or bile acid synthesis pathways.

Metabolic pathways involving cytochrome P450 enzymes may initiate or modulate oxidative damage due to oxygen radicals [24]. Moreover, oxidative stress may lead to enhanced lipid peroxidation, the generation of hydroperoxides and other toxic compounds, which may contribute to the development of gallstones and atherosclerosis [25, 26]. The susceptibility to oxidative stress is reported to differ among inbred mice, which may have long-term implications in therapeutics and patient care if similar inherited differences exist in humans [24]. In the present study, abundant metabolic pathways genes as well as oxidative stress related genes were identified differently regulated between B6 and D2 mice. For instance, both mRNA and protein levels of Hspa1b were depressed in B6 and enhanced in D2 mice. Heat shock proteins have been considered to exert protective effects, due to their multifunction in anti-oxidative activity, cell survival, suppressing apoptosis, regulating pro-inflammatory transcription factors [27]. It is coincident that gallstones and atherosclerosis have been regarded as inflammatory diseases [15, 28]. In parallel, multiple inflammation relevant genes were shown to represent different expression patterns between B6 and D2 mice. Icam1 (intercellular adhesion molecule1) and Vcam1 (vascular cell adhesion molecule 1) which are immunoglobin subfamily members and important inflammatory factors during the development and progression of atherosclerosis disease [29], were elevated in B6 and lowered in D2 mice. Interestingly, inflammatory responses have been reported to repress bile acid synthesis by negative regulating Cyp7a1 [30]. Altogether, after fed the high-fat/cholesterol diet, B6 and D2 mice might differ in abilities to dispose oxidative stress, induce diverse inflammatory responses and subsequent varying susceptibilities to gallstones or atherosclerosis. Our microarray data might have provided a potential genetic basis for this hypothesis, which might have long-term significance in identifying novel pharmaceutical targets in related diseases.

Cell apoptosis playing important roles in gallstones and atherosclerosis has been well delineated. Hydrophilic ursodeoxycholic acid (UDCA) exerts antiapoptotic effects and has been used as a novel therapeutic agent for the treatment of apoptosis-related liver diseases including gallstones [31]. Endothelial cell apoptosis has been reported to be responsible for the formation of coronary thrombotic atherosclerotic plaques in rabbits [32]. In the present study, microarray analysis revealed different regulation of several pro-apoptotic or apoptotic genes between B6 and D2. Furthermore, it was confirmed by QRT-PCR and western-blot analysis. Using TUNEL Assay, diverse hepatic apoptosis were observed between B6 and D2. Meanwhile, increasing apoptotic cells were concomitant with the progress of gallstones and atherosclerosis. It seemed that ambiguous relationships might exist between hepatic apoptosis and gallstones or atherosclerosis. More extensive investigation in this issue may open a new avenue to understand the mechanisms of gallstones and atherosclerosis.


In all, we observed significantly different responses to a high-fat/cholesterol diet between B6 and D2 mice, including an interesting dynamic distribution of cholesterol in serum and bile, hepatic apoptosis, gallstones and atherosclerosis formation. Using genome-wide microarray analysis, hepatic genes expression profiles revealed different patterns in functional pathway groups including lipid metabolism, oxidative stress, immune/inflammation response and apoptosis, which might provide a genetic basis for diverse responses between B6 and D2 mice. This might provide us new insights into gallstones and atherosclerosis formation, and give us an opportunity to identify candidate genes in associated diseases.







Terminal Transferase dUTP Nick End Labeling


total cholesterol


high density lipoprotein


Quantitative real-time polymerase chain reaction.



This work was supported by the National Natural Science Foundation of China (Grant 30500201 and 30600260). We thank Erik C Twait for critically revising in this manuscript.

Authors’ Affiliations

Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences & Shanghai Jiao Tong University School of Medicine
Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences
ShanghaiBio Corporation
Ltd and National Engineering Center for Biochip at Shanghai, Shanghai Biochip Co.
Department of Surgery, University of Iowa
Graduate School of the Chinese Academy of Sciences


  1. Kritchevsky D: Diet and atherosclerosis. J Nutr Health Aging. 2001, 5: 155-159.Google Scholar
  2. Cuevas A, Miquel JF, Reyes MS, Zanlungo S, Nervi F: Diet as a risk factor for cholesterol gallstone disease. J Am Coll Nutr. 2004, 23: 187-196.View ArticleGoogle Scholar
  3. Brown MS, Goldstein JL: A receptor-mediated pathway for cholesterol homeostasis. Science. 1986, 232: 34-47. 10.1126/science.3513311.View ArticleGoogle Scholar
  4. Charlton-Menys V, Durrington PN: Human cholesterol metabolism and therapeutic molecules. Exp Physiol. 2008, 93: 27-42.View ArticleGoogle Scholar
  5. Goldstein JL, Brown MS: The LDL receptor locus and the genetics of familial hypercholesterolemia. Annu Rev Genet. 1979, 13: 259-289. 10.1146/ ArticleGoogle Scholar
  6. Wang HH, Portincasa P, Wang DQ: Molecular pathophysiology and physical chemistry of cholesterol gallstones. Front Biosci. 2008, 13: 401-423. 10.2741/2688.View ArticleGoogle Scholar
  7. Berge KE, Tian H, Graf GA, Yu L, Grishin NV, Schultz J, Kwiterovich P, Shan B, Barnes R, Hobbs HH: Accumulation of dietary cholesterol in sitosterolemia caused by mutations in adjacent ABC transporters. Science. 2000, 290: 1771-1775. 10.1126/science.290.5497.1771.View ArticleGoogle Scholar
  8. Peters LL, Robledo RF, Bult CJ, Churchill GA, Paigen BJ, Svenson KL: The mouse as a model for human biology: a resource guide for complex trait analysis. Nat Rev Genet. 2007, 8: 58-69. 10.1038/nrg2025.View ArticleGoogle Scholar
  9. Paigen B, Morrow A, Brandon C, Mitchell D, Holmes P: Variation in susceptibility to atherosclerosis among inbred strains of mice. Atherosclerosis. 1985, 57: 65-73. 10.1016/0021-9150(85)90138-8.View ArticleGoogle Scholar
  10. Khanuja B, Cheah YC, Hunt M, Nishina PM, Wang DQ, Chen HW, Billheimer JT, Carey MC, Paigen B: Lith1, a major gene affecting cholesterol gallstone formation among inbred strains of mice. Proc Natl Acad Sci USA. 1995, 92: 7729-7733. 10.1073/pnas.92.17.7729.View ArticleGoogle Scholar
  11. Paigen B: Genetics of responsiveness to high-fat and high-cholesterol diets in the mouse. Am J Clin Nutr. 1995, 62: 458S-462S.Google Scholar
  12. Fearnside JF, Dumas ME, Rothwell AR, Wilder SP, Cloarec O, Toye A, Blancher C, Holmes E, Tatoud R, Barton RH, Scott J, Nicholson JK, Gauguier D: Phylometabonomic patterns of adaptation to high fat diet feeding in inbred mice. PLoS ONE. 2008, 3: e1668-10.1371/journal.pone.0001668.View ArticleGoogle Scholar
  13. Ashley EA, Ferrara R, King JY, Vailaya A, Kuchinsky A, He X, Byers B, Gerckens U, Oblin S, Tsalenko A, Soito A, Spin JM, Tabibiazar R, Connolly AJ, Simpson JB, Grube E, Quertermous T: Network analysis of human in-stent restenosis. Circulation. 2006, 114: 2644-2654. 10.1161/CIRCULATIONAHA.106.637025.View ArticleGoogle Scholar
  14. Paigen B, Morrow A, Holmes PA, Mitchell D, Williams RA: Quantitative assessment of atherosclerotic lesions in mice. Atherosclerosis. 1987, 68: 231-240. 10.1016/0021-9150(87)90202-4.View ArticleGoogle Scholar
  15. Fu S, Zhao H, Shi J, Abzhanov A, Crawford K, Ohno-Machado L, Zhou J, Du Y, Kuo WP, Zhang J, Jiang M, Jin JG: Peripheral arterial occlusive disease: global gene expression analyses suggest a major role for immune and inflammatory responses. BMC Genomics. 2008, 9: 369-10.1186/1471-2164-9-369.View ArticleGoogle Scholar
  16. Oram JF, Vaughan AM: ATP-Binding Cassette Cholesterol Transporters and Cardiovascular Disease. Circulation Research. 2006, 99: 1031-1043. 10.1161/01.RES.0000250171.54048.5c.View ArticleGoogle Scholar
  17. Norlin M, Wikvall K: Enzymes in the conversion of cholesterol into bile acids. Curr Mol Med. 2007, 7: 199-218. 10.2174/156652407780059168.View ArticleGoogle Scholar
  18. Sabeva NS, Liu J, Graf GA: The ABCG5 ABCG8 sterol transporter and phytosterols: implications for cardiometabolic disease. Curr Opin Endocrinol Diabetes Obes. 2009, 16: 172-177.View ArticleGoogle Scholar
  19. Miyake JH, Duong-Polk XT, Taylor JM, Du EZ, Castellani LW, Lusis AJ, Davis RA: Transgenic expression of cholesterol-7-alpha-hydroxylase prevents atherosclerosis in C57BL/6J mice. Arterioscler Thromb Vasc Biol. 2002, 22: 121-126. 10.1161/hq0102.102588.View ArticleGoogle Scholar
  20. Kirk EA, Moe GL, Caldwell MT, Lernmark JA, Wilson DL, LeBoeuf RC: Hyper- and hypo-responsiveness to dietary fat and cholesterol among inbred mice: searching for level and variability genes. J Lipid Res. 1995, 36: 1522-1532.Google Scholar
  21. Ando H, Tsuruoka S, Yamamoto H, Takamura T, Kaneko S, Fujimura A: Regulation of cholesterol 7alpha-hydroxylase mRNA expression in C57BL/6 mice fed an atherogenic diet. Atherosclerosis. 2005, 178: 265-269. 10.1016/j.atherosclerosis.2004.09.016.View ArticleGoogle Scholar
  22. Tomoda H, Omura S: Potential therapeutics for obesity and atherosclerosis: inhibitors of neutral lipid metabolism from microorganisms. Pharmacol Ther. 2007, 115: 375-389. 10.1016/j.pharmthera.2007.05.008.View ArticleGoogle Scholar
  23. Post SM, Zoeteweij JP, Bos MH, de Wit EC, Havinga R, Kuipers F, Princen HM: Acyl-coenzyme A:cholesterol acyltransferase inhibitor, avasimibe, stimulates bile acid synthesis and cholesterol 7alpha-hydroxylase in cultured rat hepatocytes and in vivo in the rat. Hepatology. 1999, 30: 491-500. 10.1002/hep.510300230.View ArticleGoogle Scholar
  24. Gonder JC, Proctor RA, Will JA: Genetic differences in oxygen toxicity are correlated with cytochrome P-450 inducibility. Proc Natl Acad Sci USA. 1985, 82: 6315-6319. 10.1073/pnas.82.18.6315.View ArticleGoogle Scholar
  25. Hayek T, Stephens JW, Hubbart CS, Acharya J, Caslake MJ, Hawe E, Miller GJ, Hurel SJ, Humphries SE: A common variant in the glutathione S-transferase gene is associated with elevated markers of inflammation and lipid peroxidation in subjects with diabetes mellitus. Atherosclerosis. 2006, 184: 404-412. 10.1016/j.atherosclerosis.2005.05.017.View ArticleGoogle Scholar
  26. Zhou JF, Chen P, Yang JL, Zhu YG, Peng CH, Wu YL: Oxidative stress before and after operation in patients with chronic cholecystitis containing gallstone. Biomed Environ Sci. 2000, 13: 254-262.Google Scholar
  27. Voegeli TS, Wintink AJ, Chen Y, Currie RW: Heat shock proteins 27 and 70 regulating angiotensin II-induced NF-kappaB: a possible connection to blood pressure control?. Appl Physiol Nutr Metab. 2008, 33: 1042-1049. 10.1139/H08-068.View ArticleGoogle Scholar
  28. Maurer KJ, Carey MC, Fox JG: Roles of infection, inflammation, and the immune system in cholesterol gallstone formation. Gastroenterology. 2009, 136: 425-440. 10.1053/j.gastro.2008.12.031.View ArticleGoogle Scholar
  29. Bielinski SJ, Pankow JS, Li N, Hsu FC, Adar SD, Jenny NS, Bowden DW, Wasserman BA, Arnett D: ICAM1 and VCAM1 polymorphisms, coronary artery calcium, and circulating levels of soluble ICAM-1: the multi-ethnic study of atherosclerosis (MESA). Atherosclerosis. 2008, 201: 339-344. 10.1016/j.atherosclerosis.2008.02.031.View ArticleGoogle Scholar
  30. Feingold KR, Spady DK, Pollock AS, Moser AH, Grunfeld C: Endotoxin, TNF, and IL-1 decrease cholesterol 7 alpha-hydroxylase mRNA levels and activity. J Lipid Res. 1996, 37: 223-228.Google Scholar
  31. Bellentani S: Immunomodulating and anti-apoptotic action of ursodeoxycholic acid: where are we and where should we go?. Eur J Gastroenterol Hepatol. 2005, 17: 137-140. 10.1097/00042737-200502000-00001.View ArticleGoogle Scholar
  32. Xu F, Sun Y, Chen Y, Sun Y, Li R, Liu C, Zhang C, Wang R, Zhang Y: Endothelial cell apoptosis is responsible for the formation of coronary thrombotic atherosclerotic plaques. Tohoku J Exp Med. 2009, 218: 25-33. 10.1620/tjem.218.25.View ArticleGoogle Scholar


© Zhu et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.