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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Nutr Metab Cardiovasc Dis. 2013 Nov 1;24(4):423–427. doi: 10.1016/j.numecd.2013.09.014

Effects of Equol on Gene Expression in Female Cynomolgus Monkey Iliac Arteries

K Eyster a,b, S Appt c, A Chalpe a, T Register c, T Clarkson c
PMCID: PMC3972297  NIHMSID: NIHMS537280  PMID: 24525253

Abstract

Background and Aims

To examine effects of equol, the soy phytoestrogen metabolite, on gene expression in the monkey iliac artery.

Methods and Results

A high fat/high cholesterol diet was fed to eight ovariectomized cynomolgus monkeys for 6.5 years. After biopsy of the left iliac artery, the animals were randomized to two treatment groups for 8 months; the treatment groups were equol (23.7 mg/100 g diet, n=4) and vehicle (n=4). The right iliac artery was removed at necropsy. Gene expression in the iliac arteries in response to equol was determined by DNA microarray. Comparison of atherosclerotic lesions and plasma lipids at pre- versus post-equol treatment time points and in vehicle versus equol treatment groups did not identify any significant differences. Despite the lack of effect of equol on these parameters, 59 genes were down-regulated and 279 were up-regulated in response to equol. Comparison of these data to previous work identified 10 genes regulated in opposite directions by equol compared to presence of atherosclerosis plaque (Menopause 2011;18:1087–1095) and 55 genes differentially expressed in the same direction in response to both equol and estradiol (Eyster et al., Menopause 2013; in press).

Conclusions

Similar responses of genes to both equol and estradiol may reflect the extent to which equol serves as a natural selective estrogen receptor modulator in the arteries. Opposite responses of 10 genes to equol versus the presence of atherosclerosis implicates those genes in the potential protective effects of equol in arteries.

Keywords: equol, soy, gene expression, DNA microarray, atherosclerosis, artery

Introduction

Equol is a metabolite of the soy isoflavone, daidzein, produced by the action of gastrointestinal bacteria [1]. Equol is a ligand for estrogen receptors (ER) with greater potency at ER than daidzein [1]. Many claims have been made regarding the cardiovascular health benefits of soy isoflavones, and by extension, equol [2]. Studies in laboratory animals support the atheroprotective effects of dietary soy components [3, 4]. However, scientific evidence in human studies in support of these claims has been variable [2, 5]. One contributor to the variability of soy isoflavones in humans is that as many as 30–50% of individuals are not significant producers of equol from daidzein because they lack the appropriate intestinal flora [6]. This heterogeneity leads to substantial variability in the circulating concentrations of equol and daidzein and difficulties in analysis and interpretation of results.

The effects of estrogen therapy on cardiovascular diseases are controversial. When the blood vessels are healthy, estrogen appears to protect them from the development of atherosclerotic plaque [7]. However, if atherosclerosis is well-established, estrogen appears to not be beneficial and may actually increase the risk of clinical events [8, 9]. The exact mechanisms by which estrogen influences cardiovascular disease are not entirely clear, thus the evidence that daidzein, genistein, and equol can influence estrogen receptor activity does not clarify their mechanism of action in the cardiovascular system. However, these soy/soy-derived compounds have greater affinity for ERβ than for ERα [10]. Thus, these compounds may act as natural selective estrogen receptor modulators (SERMs) [11].

Similarities in the cardiovascular system of human and cynomolgus monkeys make this animal model an ideal system for the study of the effects of equol [12]. Cynomolgus monkeys develop atherosclerosis when placed on a North American-type atherogenic diet [3, 12], and the effects of estrogen and soy isoflavones on the cardiovascular system and the development of atherosclerosis have been studied extensively in cynomolgus monkeys [3, 12].

The current study was undertaken to examine global gene expression patterns in the iliac arteries of cynomolgus monkeys in response to treatment with a synthetic racemic mixture of S- and R-equol in order to identify potential equol specific effects in the absence of other isoflavone components and to avoid problems associated with variable equol conversion rates. The extent of atherosclerosis in the iliac arteries has been shown to be directly correlated with that of the coronary arteries in macaques [3]; therefore, iliac arteries were used as proxies for the coronary artery in this study. Moreover, the use of the iliac arteries permitted a longitudinal assessment of pre-versus post-equol treatment.

Methods

Animals and Study Design

Eight adult female cynomolgus macaques (Macaca fascicularis), age 20 years or older, were used for this study. The animals were surgically menopausal with ovariectomy 4–6 years prior to the study. They had been housed in stable social groups of 3–4 animals each and had consumed various semi-purified high fat/high cholesterol diets for 6.5 years upon entering this study. The diet used for this study was formulated to mimic a typical North American diet and contained 0.20 mg cholesterol/Calorie of diet, 29.4% fat, and 19.8% protein from animal sources (casein/lactalbumin). The monkeys received approximately 120 kcal/kg body weight of the diet once daily for 8 months.

The left common iliac artery was biopsied to obtain pretreatment arterial tissue as described [4, 13]. Equol was added to the diet as a supplement at 23.7 mg equol/100 grams of diet (n=4); control animals received the same diet without equol (n=4). The equol supplement contained a 96.0% pure racemic mixture of S- and R-equol enantiomers in a 1:1 ratio and was provided by Solae, a division of Dupont (St. Louis, MO, USA). The dose of equol was designed to mimic the amount of isoflavones consumed by women in several clinical trials [2] and then scaled to account for metabolic differences between women and monkeys. The dietary supplement was the only source of equol in the diet; the diet contained no soy isoflavones. After 8 months on the North American diet with equol or control treatment, the monkeys were euthanized and the post-treatment common iliac artery was collected and processed as described [14]. Briefly, the iliac artery was opened longitudinally, laid flat, and divided into 3 equal segments. One segment was fixed in paraformaldehyde, embedded in paraffin, sectioned, and stained with Verhoeff-van Gieson’s stain for histologic assessment of atherosclerotic plaque intimal area. As previously described [3, 14, 15], digital images were captured from each arterial section and morphometric measurements were made to assess the extent (defined as cross-sectional area in mm2) of iliac artery plaque [3, 15]. A second segment of iliac artery was placed in RNAlater (Sigma R-0901) and stored at −70° until us ed for extraction of total RNA. The third section was frozen and archived. At the initiation of the study (baseline) and after 3, 6, and 8 months of treatment, blood samples were obtained for the measurement of lipids and lipoproteins as described [4, 14].

All animal procedures were carried out at Wake Forest University whose facilities and laboratory animal program are fully accredited by the Association for the Assessment and Accreditation of Laboratory Animal Care. All procedures using animals conformed to State and Federal laws and were conducted in compliance with standards of the U.S. Department of Health and Human Services, and guidelines established by the Wake Forest University Animal Care and Use Committee (ACUC).

Analysis of gene expression

Total RNA was isolated from segments of iliac artery using a method designed to maximize RNA extraction from small tissue samples [13, 16]. Arterial segments ranging in size from 2.94–13.64 mg were minced in 600 μl TRI reagent (Molecular Research Center, Cincinnati, OH) and homogenized in a 2 ml tube with a 7 mm probe on a Polytron homogenizer (Kinematica, Luzern, CH). The probe was then rinsed in 400 μl of fresh TRI reagent to recover residual sample from the probe. The 2 aliquots of TRI reagent were pooled. Bromochloropropane (200 μl) and 3 M sodium acetate (60 μl) were added and the samples were centrifuged (5 min at 8,000g) to effect phase separation. The aqueous layer contraining RNA was then purified on a silica gel membrane spin column (RNeasy, Qiagen, Valencia, CA) per company instructions [16]. Gene expression signatures were analyzed using CodeLink Whole Human Genome Bioarrays (Applied Microarrays, Tempe, AZ) to compare pretreatment versus posttreatment gene expression for both equol and vehicle treated groups as described [13]. Differential expression of SET domain, bifurcated 2 (SETDB2) was identified by DNA microarray and confirmed by two-step real time reverse transcription-polymerase chain reaction (RT-PCR) as described [13]. Primers and probe were obtained from Applied Biosystems (Life Technologies; Hs00230475_m1). Data from real time PCR reactions were analyzed by qBase software as described [13].

Statistical analysis

Data are expressed as the mean ± standard error of the mean (SE), the experimental number (n) was 4 per group, and the p value was set at 0.05. Statistical analysis of DNA microarray data utilized GeneSpring GX 7.0 software (Agilent, Santa Clara, CA). Multiple testing correction used the Benjamini and Hochberg False Discovery Rate set at 0.05. Real time RT-PCR data were analyzed by paired t-test. Sizes of atherosclerotic lesions were compared by ANOVA. Differences in plasma lipid variables between equol and vehicle treated monkeys at baseline, 3, 6, and 8 months were analyzed by repeated measures ANOVA (JMP V-8, SAS, Cary, NC).

Results

Data were analyzed for statistically different expression in pretreatment versus post-equol treatment monkey iliac arteries. Gene expression data for equol treatment were corrected for vehicle control data. Transcribed sequences with no known function, genes for which the fold expression values in response to equol were less than 2.0-fold different from pretreatment values, and genes for which the average relative expression values were near the limits of detection of the assay were excluded from further analysis. Application of these criteria identified differential expression of 338 genes in the monkey iliac arteries in response to equol (Table 1). Of those genes, 59 were down-regulated by equol and 279 were up-regulated. The presence of atherosclerosis causes substantial changes in gene expression [13]. 76 of the genes that responded to equol were regulated similarly by atherosclerosis (Table 1), whereas 10 showed expression in the opposite direction to that of atherosclerosis (Table 2). Fifty-five genes showed differential expression in the same direction (increase or decrease) in response to both equol and estradiol [14] (Table 1).

Table 1.

Differentially expressed genes in the iliac arteries of ovariectomized cynomolgus macaques treated with equol for 8 months. Gene expression values are shown for pretreatment baseline data (PreTrt; n=4) and for post equol treatment (PostTrt; n=4). Fold expression data (Fold) compare posttreatment to pretreatment values for each gene (PostTrt/PreTrt). The GenBank accession number (GenBank ACCN#) and p value for statistical significance (p val) are also shown.

Genbank ACCN # Gene Name PreTrt PostTrt Fold p val
Lipid/Fatty acid biosynthesis/metabolism
NM_012260 2-hydroxyphytanoyl-CoA lyase (HPCL2) 1.11 3.06 2.8 0.027
NM_020676 abhydrolase domain containing 6 (ABHD6) 0.89 2.04 2.3 0.010
NM_030925 calcium binding protein 39-like (CAB39L) 6.04 2.83 0.5 0.006
NM_001752 catalase (CAT) 0.40 1.21 3.0 0.017
NM_000896 cytochrome P450, family 4, subfamily F, polypeptide 3 (CYP4F3) 4.56 9.39 2.1 0.003
NM_003676 degenerative spermatocyte homolog, lipid desaturase (DEGS) 2.96 6.41 2.2 0.030
NM_016245 dehydrogenase/reductase (SDR family) member 8 (DHRS8) 32.11 15.13 0.5 0.000
NM_001398 enoyl Coenzyme A hydratase 1, peroxisomal (ECH1) 0.82 1.77 2.2 0.024
NM_002395 malic enzyme 1, NADP(+)-dependent, cytosolic (ME1) 0.35 1.25 3.6 0.027
NM_015922 NAD(P) dependent steroid dehydrogenase-like (NSDHL) 0.71 2.42 3.4 0.021
NM_003846 peroxisomal biogenesis factor 11B (PEX11B) 0.95 2.79 2.9 0.025
NM_003630 peroxisomal biogenesis factor 3 (PEX3) 2.13 4.40 2.1 0.033
NM_018441 peroxisomal trans-2-enoyl-CoA reductase (PECR)b 1.80 6.11 3.4 0.048
NM_153613 lysophosphatidylcholine acyltransferase 4 0.52 1.10 2.1 0.043
NM_016048 isochorismatase domain containing 1 (ISOC1) 0.58 1.66 2.9 0.013
Glucose metabolism
NM_000188 hexokinase 1 (HK1)b 3.48 8.61 2.5 0.036
NM_002300 lactate dehydrogenase B (LDHB) 25.88 54.82 2.1 0.031
NM_021965 phosphoglucomutase 5 (PGM5) 0.40 1.14 2.9 0.042
NM_005609 phosphorylase, glycogen; muscle (PYGM) 1.86 7.48 4.0 0.028
ATP synthesis
NM_000143 fumarate hydratase (FH) 6.04 16.44 2.7 0.028
NM_002080 glutamic-oxaloacetic transaminase 2, mitochondrial (GOT2) 3.16 9.66 3.1 0.031
NM_005896 isocitrate dehydrogenase 1 (NADP+), soluble (IDH1) 1.77 3.95 2.2 0.039
NM_002168 isocitrate dehydrogenase 2 (NADP+), mitochondrial (IDH2) 0.42 1.28 3.0 0.001
NM_005000 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 5, 13kDa (NDUFA5) b 27.84 13.27 0.5 0.011
NM_003002 succinate dehydrogenase complex, subunit D (SDHD) 17.66 35.44 2.0 0.011
Protein metabolism
NM_183050 branched chain keto acid dehydrogenase E1, beta polypeptide (BCKDHB) 1.74 3.67 2.1 0.017
NM_152740 3-hydroxyisobutyrate dehydrogenase (HIBADH)b 2.11 5.98 2.8 0.021
General Enzymes/Metabolism
NM_138340 abhydrolase domain containing 3 (ABHD3)b 0.68 1.86 2.7 0.047
NM_018641 carbohydrate (chondroitin 4) sulfotransferase 12 (CHST12)a 3.39 7.48 2.2 0.028
NM_020682 Cyt19 protein (CYT19) 1.69 3.65 2.2 0.007
NM_032857 lactamase, beta (LACTB)b 57.55 29.57 0.5 0.050
NM_022493 nuclear prelamin A recognition factor-like (NARFL) 0.48 1.48 3.1 0.003
NM_033452 tripartite motif-containing 47 (TRIM47)a,b 2.07 5.79 2.8 0.020
NM_017590 ubiquitous tetratricopeptide containing protein RoXaN (RoXaN) 3.15 6.75 2.1 0.001
Signal transduction
NM_002922 regulator of G-protein signalling 1 (RGS1) 17.34 3.04 0.2 0.006
NM_003390 WEE1 homolog (WEE1)a 4.67 1.76 0.4 0.005
NM_007314 v-abl Abelson murine leukemia viral oncogene homolog 2 (ABL2) 2.31 0.88 0.4 0.011
NM_002928 regulator of G-protein signalling 16 (RGS16) 77.98 32.00 0.4 0.007
AK124904 similar to Rho/Rac guanine nucleotide exchange factora 4.11 1.72 0.4 0.002
NM_152422 protein tyrosine phosphatase domain containing 1 (PTPDC1) 1.00 0.43 0.4 0.032
NM_006622 polo-like kinase 2 (Drosophila) (PLK2) 11.41 5.36 0.5 0.002
NM_006224 phosphotidylinositol transfer protein (PITPN) 1.49 0.73 0.5 0.019
NM_015093 mitogen-activated protein kinase kinase kinase 7 interacting protein 2 (MAP3K7IP2)a 17.52 8.63 0.5 0.031
NM_014836 Rho-related BTB domain containing 1 (RHOBTB1) 50.87 25.28 0.5 0.004
NM_022456 RAB3A interacting protein (rabin3) (RAB3IP) 1.93 0.97 0.5 0.025
NM_003706 phospholipase A2, group IVC (PLA2G4C) 15.29 7.69 0.5 0.000
NM_014225 protein phosphatase 2 (formerly 2A), regulatory subunit A (PR 65), alpha (PPP2R1A)a 14.80 28.40 1.9 0.001
NM_198938 prostaglandin E synthase 2 (PTGES2) 0.57 1.13 2.0 0.028
NM_031417 MAP/microtubule affinity-regulating kinase 4 (MARK4) 0.49 0.98 2.0 0.000
NM_016656 Ras-related GTP binding B (RRAGB) 1.17 2.35 2.0 0.040
NM_004162 RAB5A, member RAS oncogene family (RAB5A) 1.68 3.38 2.0 0.009
NM_015915 spastic paraplegia 3A (autosomal dominant) (SPG3A) 2.09 4.22 2.0 0.013
NM_006290 tumor necrosis factor, alpha-induced protein 3 (TNFAIP3) 1.61 3.28 2.0 0.025
NM_016573 Gem-interacting protein (GMIP) 0.53 1.08 2.0 0.045
NM_007182 Ras association (RalGDS/AF-6) domain family 1 (RASSF1)b 17.18 35.09 2.0 0.034
U70667 Fas-ligand associated factor 1 16.80 34.35 2.0 0.045
NM_001343 disabled homolog 2, mitogen-responsive phosphoprotein (DAB2) 2.56 5.26 2.1 0.027
NM_206835 TNF receptor-associated factor 7 (TRAF7)b 5.40 11.10 2.1 0.028
NM_014602 phosphoinositide-3-kinase, regulatory subunit 4, p150 (PIK3R4) 1.75 3.63 2.1 0.029
NM_052902 serine/threonine kinase 11 interacting protein (STK11IP) 2.08 4.38 2.1 0.020
NM_005219 diaphanous homolog 1 (DIAPH1) 5.41 11.53 2.1 0.017
NM_015937 phosphatidylinositol glycan, class T (PIGT) 6.61 14.23 2.2 0.008
NM_020983 adenylate cyclase 6 (ADCY6) 3.31 7.18 2.2 0.008
NM_012478 WW domain binding protein 2 (WBP2)a,b 7.10 15.45 2.2 0.029
NM_003022 SH3 domain binding glutamic acid-rich protein like (SH3BGRL) 32.43 71.01 2.2 0.038
NM_005486 target of myb1-like 1 (TOM1L1) 0.71 1.56 2.2 0.026
NM_000115 endothelin receptor type B (EDNRB) 1.18 2.61 2.2 0.010
N22508 similar to tumor necrosis factor receptor 2a 3.29 7.43 2.3 0.006
NM_013314 B-cell linker (BLNK) 5.13 11.59 2.3 0.000
NM_002480 protein phosphatase 1, regulatory (inhibitor) subunit 12A (PPP1R12A) 13.27 30.19 2.3 0.046
NM_013994 discoidin domain receptor family, member 1 (DDR1) 0.76 1.73 2.3 0.001
NM_145245 similar to ecotropic viral integration site 5; Neuroblastoma stage 4S genea 3.15 7.19 2.3 0.038
NM_000678 adrenergic, alpha-1D-, receptor (ADRA1D) 0.46 1.05 2.3 0.042
NM_015609 putative MAPK activating protein PM20, PM21 1.20 2.74 2.3 0.000
NM_002227 Janus kinase 1 (a protein tyrosine kinase) (JAK1) 1.56 3.57 2.3 0.018
NM_016151 thousand and one amino acid protein kinase (TAO1)a 6.10 14.17 2.3 0.000
NM_002336 low density lipoprotein receptor-related protein 6 (LRP6)a 12.20 28.48 2.3 0.013
NM_014376 cytoplasmic FMR1 interacting protein 2 (CYFIP2) 0.91 2.15 2.4 0.013
NM_001242 tumor necrosis factor receptor superfamily, member 7 (TNFRSF7)b 0.82 1.96 2.4 0.032
NM_182759 TAFA3 protein (TAFA3)a 3.48 8.58 2.5 0.006
NM_198964 parathyroid hormone-like hormone (PTHLH)a 11.91 29.65 2.5 0.001
NM_021044 desert hedgehog homolog (DHH) 0.66 1.67 2.5 0.011
NM_000801 FK506 binding protein 1A, 12kDa (FKBP1A) 4.60 11.75 2.6 0.043
NM_007369 G protein-coupled receptor 161 (GPR161)a 5.37 13.79 2.6 0.002
NM_198452 Similar to calcium/calmodulin-dependent protein kinase 1, beta 1.49 3.85 2.6 0.005
NM_004383 c-src tyrosine kinase (CSK) 1.90 4.97 2.6 0.021
NM_007178 serine/threonine kinase receptor associated protein (STRAP)b 2.76 7.26 2.6 0.036
NM_018010 estrogen-related receptor beta like 1 (ESRRBL1)b 0.87 2.30 2.6 0.037
NM_024832 Ras and Rab interactor 3 (RIN3)a 1.05 2.80 2.7 0.033
NM_020421 aarF domain containing kinase 1 (ADCK1) 0.48 1.28 2.7 0.040
NM_181784 sprouty-related, EVH1 domain containing 2 (SPRED2) 1.06 2.84 2.7 0.039
NM_003405 tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, eta (YWHAH)b 5.74 15.56 2.7 0.027
NM_014220 transmembrane 4 superfamily member 1 (TM4SF1) 2.01 5.61 2.8 0.050
NM_012302 latrophilin 2 (LPHN2) 1.72 4.85 2.8 0.039
NM_016639 tumor necrosis factor receptor superfamily, member 12A (TNFRSF12A)b 10.41 29.44 2.8 0.027
NM_002836 protein tyrosine phosphatase, receptor type, A (PTPRA)b 2.83 8.12 2.9 0.017
NM_016478 nuclear interacting partner of anaplastic lymphoma kinase (ALK) (NIPA) 0.58 1.73 3.0 0.018
NM_015662 selective LIM binding factor, rat homolog (SLB) 0.59 1.77 3.0 0.007
NM_004838 homer homolog 3 (HOMER3)a 0.50 1.60 3.2 0.048
NM_016586 MAP3K12 binding inhibitory protein 1 (MBIP) 1.84 5.95 3.2 0.005
NM_017790 regulator of G-protein signalling 3 (RGS3)a,b 1.66 5.59 3.4 0.015
NM_005493 RAN binding protein 9 (RANBP9) 0.32 1.09 3.4 0.023
NM_003239 transforming growth factor, beta 3 (TGFB3) 0.30 1.08 3.6 0.005
NM_005737 ADP-ribosylation factor-like 7 (ARL7)a 0.30 1.15 3.8 0.028
NM_006271 S100 calcium binding protein A1 (S100A1) 1.18 4.74 4.0 0.012
NM_006374 serine/threonine kinase 25 (STK25)b 2.28 9.30 4.1 0.048
NM_002755 mitogen-activated protein kinase kinase 1 (MAP2K1)b 1.84 7.53 4.1 0.016
NM_005539 inositol polyphosphate-5-phosphatase, 40kDa (INPP5A) 3.77 15.80 4.2 0.016
NM_030798 Williams-Beuren syndrome chromosome region 16 (WBSCR16)a 0.23 1.00 4.3 0.014
NM_212492 G protein pathway suppressor 1 (GPS1) 1.29 8.00 6.2 0.017
Transcriptional regulation
NM_199072 I-mfa domain-containing protein (HIC)a 11.74 2.58 0.2 0.001
NM_001806 CCAAT/enhancer binding protein (C/EBP), gamma (CEBPG) 13.79 4.21 0.3 0.024
NM_014112 1trichorhinophalangeal syndrome I (TRPS1)a 29.14 12.57 0.4 0.001
NM_005437 nuclear receptor coactivator 4 (NCOA4) 16.28 7.85 0.5 0.014
BC033086 transcription factor 19 (SC1) 8.41 4.06 0.5 0.018
NM_005069 single-minded homolog 2 (SIM2)b 19.17 37.60 2.0 0.038
NM_018433 jumonji domain containing 1A (JMJD1A) 133.85 262.61 2.0 0.042
NM_003419 zinc finger protein 345 (ZNF345) 0.94 1.86 2.0 0.047
NM_003743 nuclear receptor coactivator 1 (NCOA1) 1.21 2.44 2.0 0.008
NM_173539 zinc finger protein 596 (ZNF596) 0.78 1.64 2.1 0.014
NM_017761 proline-rich nuclear receptor coactivator 2 (PNRC2) 5.05 10.84 2.1 0.007
NM_001517 general transcription factor IIH, polypeptide 4, 52kDa (GTF2H4) 2.47 5.40 2.2 0.004
NM_002017 Friend leukemia virus integration 1 (FLI1) 0.96 2.28 2.4 0.019
M94046 zinc finger protein (MAZ) mRNAa 10.92 26.50 2.4 0.006
NM_001206 basic transcription element binding protein 1 (BTEB1)a 0.79 1.95 2.5 0.019
NM_021994 zinc finger protein (C2H2 type) 277 (ZNF277)b 1.12 2.82 2.5 0.025
NM_013260 transcriptional regulator protein (HCNGP) 1.04 2.70 2.6 0.005
NM_014423 ALL1 fused gene from 5q31 (AF5Q31)b 2.41 6.33 2.6 0.032
NM_016535 zinc finger protein 581 (ZNF581)a,b 2.35 6.44 2.7 0.009
NM_001164 amyloid beta (A4) precursor protein-binding, family B, member 1 (Fe65) (APBB1) 0.92 2.61 2.8 0.011
NM_003457 zinc finger protein 207 (ZNF207) 5.51 15.79 2.9 0.008
NM_002398 Meis1, myeloid ecotropic viral integration site 1 homolog (MEIS1) 1.29 3.70 2.9 0.031
NM_030767 AT-hook transcription factor (AKNA) 0.98 3.07 3.1 0.009
NM_003575 zinc finger protein 282 (ZNF282) 0.45 1.45 3.2 0.017
NM_004118 forkhead-like 18 (Drosophila) (FKHL18)a 3.74 12.10 3.2 0.041
NM_014067 LRP16 protein (LRP16) 0.33 1.10 3.3 0.001
NM_003418 zinc finger protein 9 (a cellular retroviral nucleic acid binding protein) (ZNF9) 7.95 28.17 3.5 0.029
NM_005610 retinoblastoma binding protein 4 (RBBP4) 2.98 11.36 3.8 0.004
NM_020338 retinoic acid induced 17 (RAI17), mRNA 0.66 2.53 3.8 0.019
NM_019102 homeo box A5 (HOXA5) 0.73 2.80 3.8 0.031
NM_021078 GCN5 general control of amino-acid synthesis 5-like 2 (yeast) (GCN5L2)b 1.31 5.13 3.9 0.014
NM_014583 LIM and cysteine-rich domains 1 (LMCD1) 0.83 3.37 4.1 0.039
U38904 zinc finger protein C2H2-25 mRNA 0.35 1.44 4.1 0.032
NM_002167 inhibitor of DNA binding 3, dominant negative helix-loop-helix protein (ID3)a 2.17 10.63 4.9 0.024
Nucleic acid synthesis and regulation
NM_004396 DEAD (Asp-Glu-Ala-Asp) box polypeptide 5 (DDX5)a 3.57 1.34 0.4 0.031
NM_006284 TAF10 RNA polymerase II, TATA box binding protein (TBP)-associated factor, 30kDa (TAF10) 1.95 0.74 0.4 0.001
NM_031915 SET domain, bifurcated 2 (SETDB2)b 43.73 17.33 0.4 0.019
NM_015450 protection of telomeres 1 (POT1)a 12.54 5.47 0.4 0.013
NM_139281 WD repeat domain 36 (WDR36) 4.28 1.94 0.5 0.002
NM_145715 tigger transposable element derived 2 (TIGD2)b 8.72 4.07 0.5 0.017
NM_019070 DEAD (Asp-Glu-Ala-Asp) box polypeptide 49 (DDX49) 13.89 6.92 0.5 0.001
NM_000553 Werner syndrome (WRN) 3.59 1.79 0.5 0.000
NM_006469 influenza virus NS1A binding protein (IVNS1ABP) 18.57 9.56 0.5 0.008
NM_005777 RNA binding motif protein 6 (RBM6) 2.98 5.89 2.0 0.038
NM_024096 XTP3-transactivated protein A (XTP3TPA)b 3.64 7.20 2.0 0.033
NM_015117 zinc finger CCCH type domain containing 3 (ZC3HDC3)a 1.67 3.34 2.0 0.000
NM_018119 polymerase (RNA) III (DNA directed) polypeptide E (80kD) (POLR3E)b 0.75 1.52 2.0 0.011
NM_012232 polymerase I and transcript release factor (PTRF)a 4.03 8.34 2.1 0.006
NM_020385 XPMC2 prevents mitotic catastrophe 2 homolog (XPMC2H) 0.79 1.64 2.1 0.002
NM_014706 squamous cell carcinoma antigen recognised by T cells 3 (SART3) 1.40 2.91 2.1 0.001
NM_001499 GLE1 RNA export mediator-like (yeast) (GLE1L)b 0.80 1.68 2.1 0.025
NM_003883 histone deacetylase 3 (HDAC3)b 3.57 7.51 2.1 0.036
NM_016732 RNA binding protein (hnRNP-associated with lethal yellow) (RALY) 4.27 9.02 2.1 0.014
NM_005915 MCM6 minichromosome maintenance deficient 6 (MCM6) 1.47 3.18 2.2 0.025
NM_024844 pericentrin 1 (PCNT1) 2.45 5.48 2.2 0.008
NM_004504 HIV-1 Rev binding protein (HRB) 1.08 2.42 2.2 0.044
NM_014596 zinc ribbon domain containing, 1 (ZNRD1)b 1.55 3.56 2.3 0.000
NM_022874 survival of motor neuron 1, telomeric (SMN1) 8.55 20.03 2.3 0.041
NM_006828 activating signal cointegrator 1 complex 3 (ASCC3) (helicase HELIC1)b 0.77 1.82 2.4 0.024
NM_032361 THO complex 3 (THOC3) 1.97 4.66 2.4 0.016
NM_006999 polymerase (DNA directed) sigma (POLS)b 0.90 2.29 2.5 0.034
NM_006924 splicing factor, arginine/serine-rich 1 (splicing factor 2) (SFRS1) 2.89 7.92 2.7 0.013
NM_031266 heterogeneous nuclear ribonucleoprotein A/B (HNRPAB)b 2.86 8.36 2.9 0.018
L29065 DNA-binding protein A gene 2.90 8.97 3.1 0.040
NM_004593 splicing factor, arginine/serine-rich 10 (transformer 2 homolog) (SFRS10)b 2.71 8.61 3.2 0.018
NM_006391 importin 7 (IPO7)b 1.36 4.51 3.3 0.007
NM_031492 hypothetical protein similar to RNA-binding protein lark (MGC10871) 1.17 3.92 3.4 0.029
NM_004247 U5 snRNP-specific protein, 116 kD (U5-116KD) 0.56 1.93 3.4 0.001
NM_002695 polymerase (RNA) II (DNA directed) polypeptide E, 25kDa (POLR2E)a 0.39 1.36 3.5 0.017
NM_014740 DEAD (Asp-Glu-Ala-Asp) box polypeptide 48 (DDX48) 4.97 19.13 3.8 0.022
NM_002694 polymerase (RNA) II (DNA directed) polypeptide C, 33kDa (POLR2C) 1.81 6.99 3.9 0.007
NM_201224 DEAD (Asp-Glu-Ala-Asp) box polypeptide 47 (DDX47)b 0.86 3.91 4.5 0.016
NM_006026 H1 histone family, member X (H1FX)b 1.23 7.78 6.3 0.026
NM_004964 histone deacetylase 1 (HDAC1) 0.28 1.84 6.6 0.005
NM_001126 adenylosuccinate synthase (ADSS)b 1.13 2.81 2.5 0.010
NM_003875 guanine monophosphate synthetase (GMPS) 1.63 3.47 2.1 0.010
NM_004075 cryptochrome 1 (photolyase-like) (CRY1) 0.77 1.70 2.2 0.021
NM_175886 phosphoribosyl pyrophosphate synthetase 1-like 1 (PRPS1L1) 1.04 2.74 2.6 0.018
Defense/Immune system
NM_002982 chemokine (C-C motif) ligand 2 (CCL2)b 5.21 1.29 0.2 0.022
NM_024711 immune associated nucleotide 2 (hIAN2)b 37.14 17.51 0.5 0.032
NM_000585 interleukin 15 (IL15) 2.99 1.42 0.5 0.001
NM_000538 regulatory factor X-associated protein (RFXAP) 1.29 2.53 2.0 0.026
NM_006688 complement component 1, q subcomponent-like 1 (C1QL1) 3.14 6.34 2.0 0.009
NM_009588 lymphotoxin beta (TNF superfamily, member 3) (LTB)a 1.57 3.24 2.1 0.010
NM_018844 B-cell receptor-associated protein 29 (BCAP29)b 3.13 7.35 2.3 0.040
NM_197974 butyrophilin, subfamily 3, member A3 (BTN3A3)b 2.36 5.55 2.4 0.044
NM_021160 HLA-B associated transcript 5 (BAT5)b 3.14 9.37 3.0 0.012
NM_006858 interleukin 1 receptor-like 1 ligand (IL1RL1LG) 0.43 1.35 3.1 0.009
NM_030789 histocompatibility (minor) 13 (HM13)b 1.95 6.72 3.4 0.007
NM_005335 hematopoietic cell-specific Lyn substrate 1 (HCLS1) 0.33 1.24 3.8 0.015
Proteases and their regulators
NM_030660 Machado-Joseph disease (ataxin 3) (MJD) 2.77 1.03 0.4 0.003
NM_032802 putative intramembrane cleaving protease (SPPL2A) 7.61 3.57 0.5 0.003
NM_006036 putative prolyl oligopeptidase 3.35 1.66 0.5 0.003
NM_016022 likely ortholog of C elegans anterior pharynx defective 1A (APH-1A) 0.94 1.85 2.0 0.010
NM_006215 serine (or cysteine) proteinase inhibitor, A4 (antitrypsin) (SERPINA4) 1.31 2.77 2.1 0.004
NM_013379 dipeptidylpeptidase 7 (DPP7)a,b 9.54 22.95 2.4 0.047
NM_139159 dipeptidylpeptidase 9 (DPP9)a 1.21 3.09 2.6 0.005
NM_004279 peptidase (mitochondrial processing) beta (PMPCB) 8.87 23.35 2.6 0.039
NM_005468 N-acetylated alpha-linked acidic dipeptidase-like 1 (NAALADL1) 0.96 2.83 2.9 0.003
NM_007173 protease, serine, 23 (SPUVE) 2.45 7.87 3.2 0.048
NM_016134 2plasma glutamate carboxypeptidase (PGCP)b 0.86 3.63 4.2 0.015
Cell cycle/cell fate
AF220656 apoptosis-associated nuclear protein PHLDA1 (PHLDA1) 2.67 1.02 0.4 0.005
NM_006716 activator of S phase kinase (ASK)a 7.94 3.51 0.4 0.013
NM_022476 fused toes homolog (mouse) (FTS) 2.38 5.25 2.2 0.024
NM_005190 cyclin C (CCNC) 0.61 1.42 2.3 0.049
NM_024094 defective in sister chromatid cohesion homolog 1 (MGC5528) 33.98 82.09 2.4 0.019
NM_020812 dedicator of cytokinesis 6 (DOCK6) 1.71 4.24 2.5 0.042
NM_194271 ring finger protein 34 (RNF34) 1.52 3.81 2.5 0.004
NM_017747 ankyrin repeat and KH domain containing 1 (ANKHD1) 1.50 3.79 2.5 0.027
NM_032038 spinster-like (SPINL)b 2.60 6.81 2.6 0.030
NM_006283 transforming, acidic coiled-coil containing protein 1 (TACC1) 1.81 4.91 2.7 0.011
NM_002455 metaxin 1 (MTX1)b 2.06 5.87 2.8 0.017
NM_004642 CDK2-associated protein 1 (CDK2AP1)b 3.62 11.18 3.1 0.016
NM_016238 anaphase promoting complex subunit 7 (ANAPC7) 1.92 6.13 3.2 0.011
NM_004765 B-cell CLL/lymphoma 7C (BCL7C)a 2.69 8.96 3.3 0.001
NM_004632 death associated protein 3 (DAP3)b 1.58 5.58 3.5 0.018
NM_005426 tumor protein p53 binding protein, 2 (TP53BP2) 1.59 6.08 3.8 0.004
NM_001760 cyclin D3 (CCND3)b 1.76 8.95 5.1 0.014
Adhesion
NM_016174 cerebral endothelial cell adhesion molecule 1 (CEECAM1)a 7.68 15.94 2.1 0.009
NM_005245 FAT tumor suppressor homolog 1 (FAT) 0.96 2.07 2.2 0.002
NM_003872 neuropilin 2 (NRP2) 1.96 4.25 2.2 0.009
NM_006670 trophoblast glycoprotein (TPBG) 1.59 3.46 2.2 0.007
NM_021181 SLAM family member 7 (SLAMF7)a 3.46 8.27 2.4 0.015
NM_032457 BH-protocadherin (brain-heart) (PCDH7)b 20.88 53.94 2.6 0.042
NM_004148 ninjurin 1 (NINJ1)b 2.26 7.14 3.2 0.026
NM_001423 epithelial membrane protein 1 (EMP1) 0.44 1.75 4.0 0.021
NM_005529 heparan sulfate proteoglycan 2 (perlecan) (HSPG2)a 1.18 8.27 7.0 0.007
Extracellular matrix
NM_032048 elastin microfibril interfacer 2 (EMILIN2)b 11.80 5.58 0.5 0.012
NM_000088 collagen, type I, alpha 1 (COL1A1)a 72.58 138.33 1.9 0.032
NM_002023 fibromodulin (FMOD) 1.48 3.14 2.1 0.006
NM_000095 cartilage oligomeric matrix protein (COMP)b 6.21 13.88 2.2 0.021
NM_130444 collagen, type XVIII, alpha 1 (COL18A1) 1.37 3.16 2.3 0.005
NM_022664 extracellular matrix protein 1 (ECM1)a 0.34 1.21 3.6 0.040
NM_199235 collectin sub-family member 11 (COLEC11)a 1.13 4.07 3.6 0.007
Chaperonins
NM_024610 HSPB (heat shock 27kDa) associated protein 1 (HSPBAP1) 18.15 8.28 0.5 0.019
NM_006431 chaperonin containing TCP1, subunit 2 (beta) (CCT2)a 52.85 24.46 0.5 0.001
NM_012111 AHA1, activator of heat shock 90kDa protein ATPase homolog 1 (AHSA1)b 4.21 8.56 2.0 0.041
NM_006221 protein (peptidyl-prolyl cis/trans isomerase) NIMA-interacting 1 (PIN1) 2.66 5.89 2.2 0.048
NM_006112 peptidylprolyl isomerase E isoform 1; cyclophilin 33b 3.51 12.41 3.5 0.034
NM_144617 heat shock protein, alpha-crystallin-related, B6 (HSPB6)a 0.19 1.11 5.8 0.016
Oxidation-reduction
NM_000096 ceruloplasmin (ferroxidase) (CP)b 2.70 9.56 3.5 0.010
NM_014080 dual oxidase 2 (DUOX2)a 6.30 18.92 3.0 0.002
NM_015913 endoplasmic reticulum thioredoxin superfamily member, 18 kDa (TLP19)b 1.17 3.31 2.8 0.037
NM_016275 selenoprotein T (SELT)b 2.40 8.77 3.7 0.024
NM_000178 glutathione synthetase (GSS) 0.87 2.11 2.4 0.005
Cytoskeleton
NM_001376 dynein, cytoplasmic, heavy polypeptide 1 (DNCH1) 45.02 22.20 0.5 0.003
AA912262 similar to thymosin beta-4 21.92 10.96 0.5 0.007
NM_014900 COBL-like 1 (COBLL1) 4.83 9.91 2.1 0.034
NM_032608 myosin XVIIIB (MYO18B) 2.06 4.37 2.1 0.026
NM_015033 formin binding protein 1 (FNBP1)a 19.47 41.60 2.1 0.019
NM_001978 erythrocyte membrane protein band 49 (dematin) (EPB49)b 4.48 9.64 2.2 0.023
NM_014000 vinculin (VCL) 8.07 23.87 3.0 0.011
NM_021738 supervillin (SVIL) 1.75 5.30 3.0 0.010
NM_053024 profilin 2 (PFN2) 1.15 3.58 3.1 0.006
NM_000366 tropomyosin 1 (alpha) (TPM1) 4.22 15.86 3.8 0.017
NM_006400 dynactin 2 (p50) (DCTN2)b 1.69 7.74 4.6 0.029
Organelle function
NM_001011 ribosomal protein S7 (RPS7)a 76.57 29.38 0.4 0.030
NM_014445 stress-associated endoplasmic reticulum protein 1 (SERP1) 21.88 8.61 0.4 0.003
AK057656 similar to mitochondrial processing peptidase beta subunita 14.41 6.46 0.4 0.016
NM_001028 ribosomal protein S25 (RPS25) 15.99 7.64 0.5 0.018
NM_013237 px19-like protein (PX19) 26.54 13.02 0.5 0.001
NM_014713 lysosomal-associated protein transmembrane 4 alpha (LAPTM4A) 64.63 133.42 2.1 0.027
NM_006855 KDEL (Lys-Asp-Glu-Leu) endoplasmic reticulum protein retention receptor 3 (KDELR3) 2.67 5.94 2.2 0.027
NM_002902 reticulocalbin 2, EF-hand calcium binding domain (RCN2) 4.68 10.61 2.3 0.044
NM_006351 translocase of inner mitochondrial membrane 44 homolog (TIMM44) 1.29 2.95 2.3 0.004
NM_002901 reticulocalbin 1, EF-hand calcium binding domain (RCN1) 3.31 7.64 2.3 0.030
NM_032478 mitochondrial ribosomal protein L38 (MRPL38)a 4.24 11.15 2.6 0.002
NM_172251 mitochondrial ribosomal protein L54 (MRPL54) 0.32 1.01 3.2 0.002
Protein processing
NM_016480 poly(A) binding protein interacting protein 2 (PAIP2) 50.05 98.55 2.0 0.015
NM_052870 sorting nexin associated golgi protein 1 (SNAG1)b 0.92 1.82 2.0 0.021
NM_182551 lysocardiolipin acyltransferase 1 0.85 1.69 2.0 0.011
NM_007230 mannosidase, alpha, class 1B, member 1 (MAN1B1)b 0.89 2.44 2.7 0.034
NM_002676 phosphomannomutase 1 (PMM1)b 0.88 2.44 2.8 0.004
NM_000434 sialidase 1 (lysosomal sialidase) (NEU1)b 0.79 3.77 4.8 0.009
NM_003032 sialyltransferase 1 (beta-galactoside alpha-2,6-sialyltransferase) (SIAT1) 1.92 3.87 2.0 0.011
NM_005216 dolichyl-diphosphooligosaccharide-protein glycosyltransferase (DDOST)b 6.91 20.35 2.9 0.031
NM_003863 dolichyl-phosphate mannosyltransferase polypeptide 2, regulatory subunit (DPM2)b 2.74 11.14 4.1 0.008
NM_005500 SUMO-1 activating enzyme subunit 1 (SAE1) 0.84 2.30 2.7 0.009
NM_012214 mannosyl (alpha-1,3-)-glycoprotein beta-1,4-N-acetylglucosaminyltransferase, isoenzyme A (MGAT4A) 6.14 2.92 0.5 0.003
NM_020156 core 1 UDP-galactose:N-acetylgalactosamine-alpha-R beta 1,3-galactosyltransferase (C1GALT1) 8.35 4.22 0.5 0.022
NM_002047 glycyl-tRNA synthetase (GARS) 13.70 6.61 0.5 0.000
NM_001751 cysteinyl-tRNA synthetase (CARS) 0.27 1.00 3.7 0.002
NM_004184 tryptophanyl-tRNA synthetase (WARS) 1.15 2.45 2.1 0.003
Vesicle transport
NM_018261 SEC3-like 1 (SEC3L1) 6.17 2.72 0.4 0.000
NM_015386 component of oligomeric golgi complex 4 (COG4) 1.75 3.55 2.0 0.044
NM_007277 SEC6-like 1 (S cerevisiae) (SEC6L1)b 2.80 6.87 2.5 0.045
NM_138567 synaptotagmin VIII (SYT8)a 0.44 1.17 2.7 0.048
NM_198398 serologically defined breast cancer antigen 84 (SDBCAG84)b 7.49 24.60 3.3 0.040
NM_004781 vesicle-associated membrane protein 3 (cellubrevin) (VAMP3) 2.65 10.01 3.8 0.045
Ubiquitin system and related
NM_016406 Ufm1-conjugating enzyme 1 (Ufc1) 3.20 1.38 0.4 0.000
NM_006313 ubiquitin specific protease 15 (USP15) 4.99 2.41 0.5 0.001
NM_014412 Siah-interacting protein (SIP) 17.39 8.70 0.5 0.011
NM_006156 neural precursor cell expressed, developmentally down-regulated 8 (NEDD8) 13.02 6.66 0.5 0.016
NM_006913 ring finger protein 5 (RNF5)b 7.32 14.39 2.0 0.006
NM_018438 F-box protein 6 (FBXO6)b 2.76 5.76 2.1 0.033
NM_003939 beta-transducin repeat containing (BTRC) 0.92 1.93 2.1 0.049
NM_020892 deltex homolog 2 (DTX2) 0.75 1.62 2.2 0.025
NM_012308 F-box and leucine-rich repeat protein 11 (FBXL11)a 8.93 21.07 2.4 0.016
NM_022039 split hand/foot malformation (ectrodactyly) type 3 (SHFM3)b 2.88 7.38 2.6 0.040
NM_016129 COP9 constitutive photomorphogenic homolog subunit 4 (COPS4) 4.44 13.16 3.0 0.035
NM_006837 COP9 constitutive photomorphogenic homolog subunit 5 (COPS5)b 1.89 7.74 4.1 0.022
NM_173647 ring finger protein 149 (RNF149)b 154.37 68.53 0.4 0.021
Channels/transporters
NM_001679 ATPase, Na+/K+ transporting, beta 3 polypeptide (ATP1B3) 3.00 1.25 0.4 0.039
NM_003562 solute carrier family 25 (oxoglutarate carrier), member 11 (SLC25A11) 2.12 4.19 2.0 0.004
NM_015945 solute carrier family 35, member C2 (SLC35C2) 1.60 3.18 2.0 0.009
NM_014437 solute carrier family 39 (zinc transporter), member 1 (SLC39A1) 1.53 3.10 2.0 0.037
NM_001038 sodium channel, nonvoltage-gated 1 alpha (SCNN1A) 0.59 1.21 2.1 0.030
NM_022003 FXYD domain containing ion transport regulator 6 (FXYD6) 0.91 1.90 2.1 0.029
NM_004732 potassium voltage-gated channel, shaker-related subfamily, beta member 3 (KCNAB3) 4.04 8.72 2.2 0.041
NM_001695 ATPase, H+ transporting, lysosomal 42kDa, V1 subunit C, isoform 1 (ATP6V1C1)b 2.56 5.59 2.2 0.029
NM_001293 chloride channel, nucleotide-sensitive, 1A (CLNS1A) 11.66 25.98 2.2 0.034
NM_133496 solute carrier family 30 (zinc transporter), member 7 (SLC30A7)b 0.99 2.28 2.3 0.040
NM_005689 ATP-binding cassette, sub-family B (MDR/TAP), member 6 (ABCB6) 0.56 1.29 2.3 0.015
NM_018344 solute carrier family 29 (nucleoside transporters), member 3 (SLC29A3) 4.20 9.70 2.3 0.001
NM_015638 transient receptor potential cation channel, subfamily C, member 4 associated protein (TRPC4AP)b 0.87 2.15 2.5 0.035
NM_004955 solute carrier family 29 (nucleoside transporters), member 1 (SLC29A1) 2.27 6.16 2.7 0.023
NM_000387 solute carrier family 25, member 20 (SLC25A20) 0.53 1.49 2.8 0.020
NM_017458 major vault protein (MVP)a 1.07 3.18 3.0 0.045
NM_199037 sodium channel, voltage-gated, type I, beta (SCN1B)a 2.17 6.53 3.0 0.008
NM_005765 ATPase, H+ transporting, lysosomal accessory protein 2 (ATP6AP2) 0.39 1.27 3.3 0.022
NM_004317 arsA arsenite transporter, ATP-binding, homolog 1 (ASNA1)a 0.31 1.01 3.3 0.013
NM_016016 solute carrier family 25 member 39 (SLC25A39)b 1.37 4.90 3.6 0.014
Unknown function
NM_018103 leucine rich repeat containing 5 (LRRC5)b 40.70 15.24 0.4 0.026
AK124720 similar to paraneoplastic antigen MA1 (PNMA1) 4.37 8.60 2.0 0.004
NM_001294 cleft lip and palate associated transmembrane protein 1 (CLPTM1) 2.89 5.76 2.0 0.004
NM_014254 transmembrane protein 5 (TMEM5) 4.66 10.19 2.2 0.042
NM_014575 schwannomin interacting protein 1 (SCHIP1) 2.12 5.11 2.4 0.046
NM_138373 myeloid-associated differentiation marker (MYADM) 0.35 1.02 2.9 0.015
NM_152285 arrestin domain containing 1 (ARRDC1)a,b 0.62 1.81 2.9 0.020
a

Differential expression with both Equol and Estradiol [14].

b

Differential expression with both Equol and Atherosclerosis [13].

Table 2.

Genes in the iliac arteries of ovariectomized cynomolgus macaques that were regulated in opposite directions in response to equol treatment compared to the presence of atherosclerosis. Ten genes were up-regulated by equol but down-regulated in the presence of atherosclerosis or vice versa. Data are expressed as fold expression; posttreatment versus pretreatment values for equol (Fold Equol; PostTrt/PreTrt) and presence versus absence of atherosclerosis [13] (Fold Athero; presence/absence). The GenBank accession number (GenBank ACCN#) and gene ontology for each gene are also shown.

Genbank ACCN # Gene Name Fold Equol Fold Athero Gene Ontology
NM_005069 single-minded homolog 2 (SIM2) 2.0 0.4 Transcriptional regulation
NM_032457 BH-protocadherin (brain-heart) (PCDH7) 2.6 0.3 Adhesion
NM_001978 erythrocyte membrane protein band 49 (dematin) (EPB49) 2.2 0.4 Cytoskeleton
NM_024711 immune associated nucleotide 2 (hIAN2) 0.5 2.0 Defense/Immune system
NM_032048 elastin microfibril interfacer 2 (EMILIN2) 0.5 2.4 Extracellular matrix
NM_173647 ring finger protein 149 (RNF149) 0.4 2.3 Ubiquitin system and related
NM_032857 lactamase, beta (LACTB) 0.5 3.1 Catabolic/Metabolism
NM_031915 SET domain, bifurcated 2 (SETDB2) 0.4 2.3 Nucleic acid regulation
NM_145715 tigger transposable element derived 2 (TIGD2) 0.5 2.3 Nucleic acid regulation
NM_018103 leucine rich repeat containing 5 (LRRC5) 0.4 2.4 Unknown function

The size of atherosclerotic lesions in the iliac vessels of monkeys prior to initiation of treatment with equol averaged 0.51±0.19 mm2 with a range of 0.113–1.003 mm2. After 8 months of treatment with equol, the average plaque size was 0.748±0.22 mm2 with a range of 0.171–1.188 mm2. In control animals, the size of atherosclerotic plaque lesions averaged 0.36±0.21 mm2 with a range of 0–0.873 mm2 prior to initiation of vehicle treatment, and 0.47±0.27 mm2 with a range of 0.025–1.217 mm2 after the 8 month treatment period. Comparison of pre- versus post-treatment and vehicle versus equol treatment did not identify any significant differences among lesion sizes. Plasma lipids were assessed at baseline and at 3, 6, and 8 months of the study. No significant differences in plasma lipids in response to equol treatment were identified (Table 3).

Table 3.

Plasma lipids and body weight (BW, kg) in equol treated (n=4) ovariectomized cynomolgus macaques at baseline and at 3, 6, and 8 months (m) of treatment. Abbreviations: total plasma cholesterol (TPC, mmol/L), triglycerides (TG, mmol/L), high density lipoprotein cholesterol (HDLC, mmol/L), low density lipoprotein plus very low density lipoprotein cholesterol (LDL+VLDL, mmol/L).

BW (kg) TPC TG HDLC LDL+VLDL TPC/HDLC
Baseline 2.85±0.18 428.75±21.5 32.25±1.7 37±8.7 391.75±15.3 13.29±2.5
3 m 3.04±0.21 340.5±28.6 35.25±0.5 38.3±7.7 302.25±21.1 9.59±1.3
6 m 3.02±0.19 337.5±34.2 29.5±1.2 33±9.4 304.50±38.4 13.30±4.5
8 m 3.01±0.17 372.25±25.9 34.75±2.6 23±6.6 349.25±28.5 23.04±9.2

SET domain, bifurcated 2 (SETDB2) was identified by DNA microarray as a down-regulated gene in response to equol (Figure 1A). Real time RT-PCR confirmed down-regulation of SETDB2 by equol (Figure 1B).

Figure 1.

Figure 1

Differential expression of SETDB2 in the iliac arteries of cynomolgus monkeys treated with equol for 8 months. Panel A: Data from DNA microarray analysis, n=4/group. Panel B: Data from real time RT-PCR analysis. Data are expressed as the mean ± SEM. Statistical analysis utilized Student’s t-test. Bars with different letter superscripts denote that the data for those groups are significantly different from each other, p<0.05.

The data set for these DNA microarrays has been deposited in the NCBI Gene Expression Omnibus (GEO; www.ncbi.nlm.nih.gov/geo) and can be accessed through GEO Series accession numbers GSE37186 and GSE26326 (GSM646184, GSM646185, GSM6946190-5).

Discussion

Of the genes in the iliac arteries that responded to equol in this study, 16% also responded to estradiol [14] but 84% did not. As equol has been shown to activate the ERβ receptor [1], these data support the concept that equol acts as a natural SERM [11]. In contrast to previous findings with soy protein and isoflavones in the cynomolgus monkey [4, 12], equol did not alter plasma lipids or lipoproteins. However, blood lipids and lipoproteins do not appear to be the sole source of positive effects of estrogens in the vasculature [15]. Thus, the gene expression effects of equol make it a potential SERM candidate for modulation of vascular biology. Moreover, soy products have also been reported to exhibit antihypertensive effects [17]. Blood pressure was not measured in the current study, but antihypertensive activity remains a potential protective mechanism of equol in the cardiovascular system. Further research to define the extent of estrogen agonist activity of equol in the arteries is warranted.

Arteries from control and equol-treated animals contained established atherosclerotic plaque prior to initiation of equol treatment. It is likely that the profound gene expression profile differences due to the presence of atherosclerosis [13, 18, 19] at least partially masked the effects of equol on gene expression. Indeed, 86 genes appeared on the differential gene expression lists for both presence of atherosclerosis [13] and response to equol. Of those 86 genes, 76 showed the same directional changes in expression. The pattern of expression in individual arteries suggests that those changes may have been due to the presence of atherosclerotic plaque and further suggest that treatment with equol was unable to reverse the effects of atherosclerosis on expression of those genes. In contrast, the expression of ten genes was regulated in opposite directions in response to equol versus atherosclerosis. These genes may represent points of potentially atheroprotective effects of equol in the arteries. One of these genes, SETDB2, was down-regulated in response to equol but up-regulated in the presence of atherosclerosis [13]. SETDB2 (aliases CLLD8, KMT1F) is a histone 3 lysine 9 (H3K9) methyltransferase with a methyl-CpG-binding domain (MBD). H3K9 methylation is associated with chromatin condensation and transcriptional inactivation. SETDB2 may have a role in chromatin condensation/decondensation as described by Falandry and coworkers [20], or it may have a more directed role in the regulation of specific genes as described by Xu and coworkers [21], or both. In the iliac arteries, the presence of atherosclerosis increased the expression of SETDB2 [13], whereas treatment with equol resulted in a decrease in SETDB2 expression. Therefore, we can speculate that the presence of atherosclerosis would lead to chromatin condensation and repression of the expression of specific genes, whereas treatment with equol would allow chromatin decondensation and up-regulation of specific genes. This is a novel finding as the potential for equol to counter the effects of atherosclerosis on arterial gene expression at the level of histone/chromatin regulation has not previously been reported. However, the effects of regulation of the expression of this gene on arterial function remain to be determined.

Equol activates other members of the steroid receptor superfamily of nuclear receptors in addition to the estrogen receptor. For example, equol can activate peroxisome proliferator activated receptor gamma (PPARγ) [22]. A protective role for PPARγ has been identified in atherosclerosis [23]. We identified up-regulation of 7 genes associated with peroxisome synthesis and function in the monkey iliac arteries in response to equol (CAT, ECH1, HPCL2, ISOC1, PECR, PEX3, and PEX11B) which suggests that equol effectively activated PPARs in the iliac arteries. Another nuclear receptor, the pregnane X receptor (PXR, alias NR1I2) can also be activated by equol [24]. Recent evidence links PXR activation to energy metabolism [25]. Whether PPAR or PXR plays a role in the regulation of gene expression in the iliac arteries in response to equol requires further investigation.

Summary and Conclusions

The differential expression of genes in the arteries in response to equol may reflect agonism at estrogen receptors, PPARγ, or PXR. The 10 genes for which equol treatment was able to overcome the effects of atherosclerosis on expression represent potential targets for protective effects of equol in the arteries.

Acknowledgments

This work was supported by PO1 HL45666 (TBC), RO1 AG28641 (TCR), and RO1 AG27847 (SEA). The Genomics Core facility at the University of South Dakota is supported by NIH INBRE 2 P20 RR016479. The racemic mixture of equol was a generous donation from Solae, a division of Dupont, St. Louis, MO.

These sponsors had no role in the study design, data collection, analysis or interpretation, in the writing of the manuscript, or in the decision to submit the manuscript for publication.

Footnotes

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References

  • 1.Muthyala RS, Ju YH, Sheng S, Williams LD, Doerge DR, Katzenellenbogen BS, et al. Equol, a natural estrogenic metabolite from soy isoflavones: convenient preparation and resolution of R- and S-equols and their differing binding and biological activity through estrogen receptors alpha and beta. Bioorg Medicin Chem. 2004;12:1559–1567. doi: 10.1016/bmc.2003.11.035. [DOI] [PubMed] [Google Scholar]
  • 2.North American Menopause Society. The role of soy isoflavones in menopausal health: report of The North American Menopause Society/Wulf H. Utian Translational Science Symposium in Chicago, IL (October 2010) Menopause. 2011;18:732–753. doi: 10.1097/gme.0b013e31821fc8e0. [DOI] [PubMed] [Google Scholar]
  • 3.Clarkson TB, Anthony MS, Morgan TM. Inhibition of postmenopausal atherosclerosis progression: a comparison of the effects of conjugated equine estrogens and soy phytoestrogens. J Clin Endocrinol Metab. 2001;86:41–47. doi: 10.1210/jc.86.1.41. [DOI] [PubMed] [Google Scholar]
  • 4.Walker SE, Register TC, Appt SE, Adams MR, Clarkson TB, Chen H, et al. Plasma lipid-dependent and –independent effects of dietary soy protein and social status on atherogenesis in premenopausal monkeys: implications for postmenopausal atherosclerosis burden. Menopause. 2008a;15:950–957. doi: 10.1097/gme.0b013e3181612cef. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hodis HN, Mack WJ, Kono N, Azen SP, Shoupe D, Hwang-Levine J, et al. for the Women’s Isoflavone Soy Health Research Group. Isoflavone soy protein supplementation and atherosclerosis progression in healthy postmenopausal women. A randomized controlled trial. Stroke. 2011;42:3168–3175. doi: 10.1161/STROKEAHA.111.620831. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Cassidy A, Brown JE, Hawdon A, Faughnan MS, King LJ, Millward J, et al. Factors affecting the bioavailability of soy isoflavones in humans after ingestion of physiologically relevant levels from different soy foods. J Nutr. 2006;136:45–51. doi: 10.1093/jn/136.1.45. [DOI] [PubMed] [Google Scholar]
  • 7.Miller VM, Duckles SP. Vascular actions of estrogens: functional implications. Pharmacol Rev. 2008;60:210–241. doi: 10.1124/pr.107.08002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Clarkson TB. Estrogen effects on arteries vary with stage of reproductive life and extent of subclinical atherosclerosis progression. Menopause. 2007;14:373–384. doi: 10.1097/GME.0b013e31803c764d. [DOI] [PubMed] [Google Scholar]
  • 9.Dubey RK, Imthurn B, Barton M, Jackson EK. Vascular consequences of menopause and hormone therapy: importance of timing of treatment and type of estrogen. Cardiovasc Res. 2005;66:295–306. doi: 10.1016/j.cardiores.2004.12.012. [DOI] [PubMed] [Google Scholar]
  • 10.Jackson RL, Greiwe JS, Schwen RJ. Emerging evidence of the health benefits of S-equol, an estrogen receptor β agonist. Nutr Rev. 2011;69:432–448. doi: 10.1111/j.1753-4887.2011.00400.x. [DOI] [PubMed] [Google Scholar]
  • 11.Brzezinski A, Debi A. Phytoestrogens: the “natural” selective estrogen receptor modulators? Eur J Obstet Gynecol Reprod Biol. 1999;85:47–51. doi: 10.1016/50301-2115(98)00281-4. [DOI] [PubMed] [Google Scholar]
  • 12.Shelton KA, Clarkson TB, Kaplan JR. Nonhuman primate models of atherosclerosis. In: Abee CR, Mansfield K, Tardif SD, Morris T, editors. Nonhuman Primates in Biomedical Research. 2. San Diego, CA: Elsevier; 2012. pp. 385–411. [Google Scholar]
  • 13.Eyster KM, Appt S, Mark-Kappeler CJ, Chalpe A, Register T, Clarkson TB. Gene expression signatures differ with extent of atherosclerosis in monkey iliac artery. Menopause. 2011;18:1087–1095. doi: 10.1097/gme.0b013e3182163fea. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Eyster KM, Appt S, Chalpe A, Mark-Kappeler CJ, Register TC, Clarkson TB. Effects of estradiol on transcriptional profiles in atherosclerotic iliac arteries in ovariectomized cynomolgus macaques. Menopause. 2013 doi: 10.1097/GME.0b013e31829367c0. epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Clarkson TB, Ethun KF, Chen H, Golden D, Floyd E, Appt SE. Effects of bazedoxifene alone and with conjugated equine estrogens on coronary and peripheral artery atherosclerosis in postmenopausal monkeys. Menopause. 2013;20:274–281. doi: 10.1097/GME.0b013e318271e59b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Eyster KM, Brannian JD. Gene expression profiling in the aging ovary. In: Methods in Molecular Biology: Molecular Endocrinology. 2009;590:71–89. doi: 10.1007/978-1-60327-378-7_5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Eyster KM, Breitkopf NP, Martin DS. Antihypertensive activity of soy and soy-derived compounds. In: Ahmad A, editor. Soy: Nutrition, Consumption and Health. Nova Scientific Publishers; Hauppauge, NY: 2012. pp. 79–104. [Google Scholar]
  • 18.Lutgens E, Faber B, Schapira K, Evelo CT, van Haaften R, Heeneman S, et al. Gene profiling in atherosclerosis reveals a key role for small inducible cytokines. Validation using a novel monocyte chemoattractant protein monoclonal antibody. Circulation. 2005;111:3443–3452. doi: 10.1161/CIRCULATIONAHA.104.510073. [DOI] [PubMed] [Google Scholar]
  • 19.Bijnens AP, Lutgens E, Ayoubi T, Kuiper J, Horrevoets AJ, Daemen MJ. Genome-wide expression studies of atherosclerosis. Critical issues in methodology, analysis, interpretation of transcriptomics data. Arterioscler Thromb Vasc Biol. 2006;26:1226–1235. doi: 10.1161/ATV.0000219289.06529.f1. [DOI] [PubMed] [Google Scholar]
  • 20.Falandry C, Fourel G, Galy V, Ristriani T, Horard B, Bensimon E, Salles G, Gilson E, Magdinier F. CLLD8/KMT1F is a lysine methyltransferase that is important for chromosome segregation. J Biol Chem. 2010;285:20234–20241. doi: 10.1074/jbc.M109.052399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Xu P-F, Zhu K-Y, Jin Y, Chen Y, Sun X-J, Deng M, et al. Setdb2 restricts dorsal organizer territory and regulates left-right asymmetry through suppressing fgf8 activity. Proc Natl Acad Sci USA. 2010;107:2521–2526. doi: 10.1073/pnas.0914396107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Cho KW, Lee O-H, Banz WJ, Moustaid-Moussa N, Shay NF, Kim Y-C. Daidzein and the daidzein metabolite, equol, enhance adipocyte differentiation and PPARγ transcriptional activity. J Nutr Biochem. 2010;21:841–847. doi: 10.1016/jnutbio.2009.06.012. [DOI] [PubMed] [Google Scholar]
  • 23.Wang N, Yin R, Liu Y, Mao G, Xi F. Role of peroxisome proliferator-activated receptor-γ in atherosclerosis. Circ J. 2011;75:528–535. doi: 10.1253/circj.CJ-11-0060. [DOI] [PubMed] [Google Scholar]
  • 24.Li Y, Ross-Viola JS, Shay NF, Moore DD, Ricketts M-L. Human CYP3A4 and murine Cyp3A11 are regulated by equol and genistein via the pregnane X receptor in a species-specific manner. J Nutr. 2009;139:898–904. doi: 10.3945/jn.108.103572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ihunnah CA, Jiang M, Xie W. Nuclear receptor PXR, transcriptional circuits and metabolic relevance. Biochim Biophys Acta. 2011;1812:956–963. doi: 10.1016/j.bbadis.2011.01.014. [DOI] [PMC free article] [PubMed] [Google Scholar]

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