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Nutrition Journal logoLink to Nutrition Journal
. 2013 Sep 13;12:127. doi: 10.1186/1475-2891-12-127

Effects of short-term fructooligosaccharide intake on equol production in Japanese postmenopausal women consuming soy isoflavone supplements: a pilot study

Yuko Tousen 1, Mariko Uehara 2, Fumiko Abe 1, Yoshifumi Kimira 3, Yoshiko Ishimi 1,
PMCID: PMC3848686  PMID: 24034304

Abstract

Background

Recent studies suggest that some of the clinical effectiveness of soy or daidzein, which is a type of isoflavone, may be attributed to a person’s ability to produce equol from daidzein. Equol, which is a metabolite of one of the major soybean isoflavones called daidzein, is produced in the gastrointestinal tract by certain intestinal microbiota where present. Habitual dietary patterns may alter the intestinal bacterial profile, and influence the metabolism of isoflavones and the production of equol. Fructooligosaccharides (FOS) have a prebiotic activity as well as being a dietary fibre. The purpose of the present study was to determine whether FOS supplementation increases equol production in equol producers and stimulates equol production in equol non-producers in Japanese postmenopausal women.

Methods

A soy challenge was used to assess equol-producer status prior to the start of the study in healthy postmenopausal Japanese women. The study involved 4 separate groups in randomised crossover design. First, subjects were classified as equol producers (n = 25) or non-producers (n = 18), and then they were randomly assigned to the FOS or control group. All subjects received a daily dose of 37 mg isoflavone conjugates in the capsule (21 mg aglycone form) and either FOS (5g/day) or sucrose as control, in a randomised crossover study design. Equol -production was assessed by testing the serum and urine before and after the 2-week supplementation period.

Results

The analyses were conducted on 34 subjects completed the study, 21 (61.8%) were classified as equol producers, and 13 (38.2%) as non-producers. Significant differences were observed in the interaction effect of time × equol state after 1 week of intervention (p = 0.006). However there were no effects after 2 weeks of intervention (p = 0.516). Finally, in both equol producers and non-producers, FOS supplementation did not affect the serum equol concentration or the urinary equol to daidzein concentration ratios.

Conclusions

We have reported that FOS intervention (5 g/day for 2 weeks) does not significantly modulate the capacity of intestinal microbiota to produce equol in postmenopausal Japanese women, in either equol producers or non-producers in this pilot study. Further larger investigations that explore the roles of specific intestinal microbiota in equol production will enable the establishment of dietary conditions that are required to enhance equol production.

Keywords: Isoflavones, Equol, Fructooligosaccharides, Intestinal microbiota

Background

Soybean isoflavones are structurally similar to oestrogen; they exhibit a weak affinity for oestrogen receptors, ERα and ERβ, eliciting mild oestrogenic-like activity in various tissues [1]. On the other hand, the isoflavones genistein and daidzein have been shown previously to possess anti-oestrogenic activity in human breast cancer cells in vitro [2]. Compared with ERα, ERβ exhibits a greater binding affinity for isoflavone, whereas oestrogen binds to ER with equal affinity [3]. The relatively selective binding of isoflavones to ERβ indicates that isoflavones may confer distinct clinical effects compared with oestrogen [4]. Moreover Hwang et al. reported that isoflavones may exert their effects as oestrogen antagonists in a high oestrogen environment, or they may act as oestrogen agonists in a low oestrogen environment [5].

Isoflavones have received considerable attention because of their potential to prevent postmenopausal conditions such as cardiovascular disease [6], osteoporosis [7], and hormone-dependent cancers [8]. Daidzein, a major soybean isoflavone, is metabolized to equol in the gastrointestinal tract by intestinal microbiota. Recent studies suggest that some of the clinical effectiveness of soy or daidzein, which is a type of isoflavone, can be attributed to a person’s ability to produce equol from daidzein via their intestinal bacteria, because its biological activities differ from those of its precursor [9]. However, not all healthy humans produce equol. The ability to produce equol depends on the presence of certain intestinal microbiota. Many studies have provided that only 25-30% of the adult population of Western countries produce equol when fed soy foods containing isoflavones [10-12]. This is significantly lower than the reported 50-60% of equol producers in adults from Asian countries [13-15]. The reasons for these differences are unclear, but dietary changes can alter the microbiotal profile of the intestine. Therefore, habitual dietary patterns may influence the metabolism of isoflavone and the production of equol [16]. Several studies comparing the habitual diets of equol producers and non-producers who consume Western diets have reported that equol producers tend to have a higher intake of carbohydrate and dietary fibre, a higher percentage of energy as carbohydrate and lower percentage of energy as fat, and intake of soy, plant protein [10,12,17]; however, this has not been a consistent observation.

On the other hand, soy products are traditionally used in many Asian countries. The intake of traditional soy-based foods is high in Japan, and the mean total intake of isoflavones is estimated between 19.4 and 33.6 mg/d according to the National Nutritional Survey in Japan [18]. In Western populations, the consumption of isoflavones from traditional soy foods is substantially lower (between 0.5 and 3 mg) than that of Japan [19-21]. In Western countries, a portion of total isoflavone consumption is derived from soy protein and soy flour added to a variety of foods.

While it is not clearly understood how bacterial species produce equol in the intestine, certain Lactobacillus and Bifidobacteria species have been suggested to play a role in the metabolism of daidzein to equol [22,23]. Fructooligosaccharides (FOS) have prebiotic activity in addition to being a form of dietary fibre [24,25]. FOS are poorly digested in the human small intestine and are fermented in the colon by Lactobacillus and Bifidobacteria species; moreover, FOS stimulates their growth.

To date, a few studies have reported the effects of dietary fibre and/or prebiotics on isoflavone bioavailability in Western population [26-28], but no intervention studies have examined the effect of FOS on equol production in Japanese. The purpose of the present study was to determine whether FOS supplementation increases equol production in equol producers and stimulates equol production in equol non-producers in Japanese postmenopausal women.

Methods

Ethics statement

The protocol was approved by the Institutional Review Board of the National Institute of Health and Nutrition of Japan, and the study was performed in accordance with the guidelines of the Declaration of Helsinki. All women provided their written informed consent to participate in the study.

Subjects and design

In this study, 43 healthy postmenopausal women who fulfilled the required criteria were recruited and screened. The exclusion criteria for this study were history of chronic renal or hepatic disease, history of hormone replacement therapy or breast cancer, serum oestrogen hormone (E2) concentration > 50 pg/mL, soy allergies, and any other medication known to affect bone. A soy challenge was used to assess equol-producer status prior to the start of this study. The day before sample collection, subjects ingested soy food containing 22 mg soy isoflavones. On sample collection day, morning urine samples were collected from the subjects, and they were stratified into equol producers or non-producers based on their urinary equol to daidzein concentration ratio [Equol producer: Log (urinary equol/daidzein) > −1.70].

The study comprises 4 separate groups in a randomized crossover design (Figure  1). Subjects were identified by a single randomisation number using a computer-generated random permutation procedure in SPSS software version 11.0J. The study design involved two 2-week dietary periods separated by a 2-week washout. During each 2-week intervention period, fermented foods and additional soy isoflavone supplements that could potentially affect intestinal bacteria were excluded from the diet. Subjects were instructed to otherwise maintain their normal diets for the duration of the study. The washout period required the same dietary exclusions as the intervention periods. Studies have shown that antibiotic-associated changes in faecal flora are normally reversed in 10–14 days after the stopping of treatment [29,30]. Therefore, a 2-week washout period was set in our study, although antibiotics were not used by any of the participants during the study. The subject randomisation codes were allocated sequentially in the order in which the subjects were enrolled. After completion of all the analyses, the randomisation code was disclosed to the investigators and subjects.

Figure 1.

Figure 1

Study design. Subjects were classified as equol producers or non-producers and were further assigned to 2 groups as follows: ISO + control, intervention with soy isoflavone supplement and sucrose; ISO + FOS, intervention with soy isoflavone supplement and fructooligosaccharides. ISO, isoflavones; FOS, fructooligosaccharides.

All subjects received a daily dose of 37 mg isoflavone conjugates in the capsule (Fujiflavone P40; Fujicco Co., Ltd., Kobe, Japan; 21 mg aglycone form) and 5 g of either FOS (Meioligo; Meiji Seika Kaisha Ltd., Tokyo, Japan) or sucrose (white sugar; Mitsui Sugar Co., Ltd., Tokyo, Japan) as control. Each subject consumed the isoflavone capsule and FOS or sucrose at breakfast. Digestive products may stimulate the growth of certain microbiota, and FOS may selectively stimulate the growth of certain microbiota. As sucrose is digested readily, we used that as the control in this study. Dietary assessments of dietary soy isoflavones and nutrient intake based on 3-day dietary records were obtained at baseline. Fasting blood samples were collected at baseline and after 2 weeks of intervention. Spot urinary samples were collected at baseline and after 1 and 2 weeks of intervention.

Isoflavones supplement

The crude isoflavone conjugate (40% isoflavones) in the capsule were daidzin (20.4%), malonyldaidzin (0.1%), acetyldaidzin (1.1%), daidzein (0.3%), genistin (4.6%), acetylgenistin (0.3%), genistein (0.1%), and glycitin plus glycitein (13%). As aglycones, 33 mg daidzein, 8.5 mg genistein, and 15 mg glycitein were included in the 100 mg of conjugates. Thus, 37 mg of conjugated isoflavones equivalent to 21.1 mg aglycone, which consisted of 12.3 mg daidzein, 3.2 mg genistein, and 5.6 mg glycitein, existed in each capsule.

Measurement of serum and urinary daidzein and equol concentrations

The concentrations of daidzein and equol in blood and urine were analysed by the time-resolved fluoroimmunoassay method; the detection limits of daidzein and equol in these assays were 2.0 nM and 3.3 nM, respectively [31,32].

Statistical analysis

All values are expressed as mean ± SD, and P < 0.05 was considered significant. The differences in isoflavone and nutritional intake between equol producers and non-producers were examined by using unpaired Student’s t-test. The differences in the serum equol concentrations at baseline and after 2 weeks of intervention were examined by using paired Student’s t-test. Three-way ANOVA (factors of FOS intervention, time, and equol status) was performed to determine the effect of dietary intervention on the urinary equol to daidzein concentration ratios. The changes in the urinary equol to daidzein concentration ratios in each group were evaluated by repeated-measures ANOVA and the Tukey post hoc test. All analyses were performed by using SPSS (SPSS 11.0; SPSS Inc., Chicago, IL, USA).

Results and discussion

At the beginning of the study, 43 subjects (25 equol producers, 18 non-producers) were recruited. Nine subjects withdrew because of personal reasons (5 subjects) and because they had taken oral antibiotics (4 subjects). The remaining 34 subjects completed the study, 21 (61.8%) were classified as equol producers, and 13 (38.2%) as non-producers. Characteristics of the subjects and their daily intake of isoflavones and nutrients at baseline are shown in Table  1. There were no major differences in age, height, weight, and body mass index between the equol producers and non-producers. The average daily intake of isoflavones from soy foods (other than isoflavone supplements) in each group ranged from 41.6–54.8 mg. Except for the fat intake, there were no significant differences between the daily intake of isoflavones and nutrients in the equol producers or non-producers. The average daily fat intake in equol producers (56.3 ± 13.7 g) was significantly higher compared to non-producers (49.1 ± 13.6 g). Epidemiological studies have been performed investigating the effects of habitual diet on equol production. Aldercreutz et al. found that the intake of total fat and meat and the dietary ratio of fat to fibre correlated with the urinary excretion of equol in a Japanese population [33], our result is consistent with this previous study. Whereas in a Western population, Rowland et al. reported that equol producers consumed significantly less energy as fat and significantly more energy as carbohydrate than equol non-producers [12]. The effects of habitual diet on equol production are controversial.

Table 1.

Equol producers and non-producers: subject characteristics and daily intake of isoflavones and nutrients1

 
Equol producer
Equol non-producer
P-value2
  n = 21 n = 13  
Age (year)
53.1 ± 4.3
54.4 ± 3.8
0.168
Height (cm)
155.6 ± 4.7
155.2 ± 4.6
0.776
Weight (kg)
52.5 ± 7.4
51.5 ± 4.6
0.504
Body mass index (kg/m2)
21.6 ± 1.7
21.1 ± 2.3
0.328
Daily intake
 
 
 
  Isoflavones (mg)
41.6 ± 22.0
54.8 ± 48.7
0.195
  Energy (kcal)
1820 ± 284
1796 ± 352
0.765
  Protein (g)
72.0 ± 14.7
71.9 ± 14.5
0.986
  Fat (g)
56.3 ± 13.7
49.1 ± 13.6
0.038
  Carbohydrate (g)
246 ± 51
261 ± 54
0.264
  Calcium (mg)
630 ± 167
639 ± 232
0.855
  Dietary fibre (g) 17.3 ± 4.4 19.6 ± 8.4 0.212

1All values are mean ± SD.

2Differences in age, height, weight, body mass index, and daily isoflavone and nutrient intake between equol producers and non-producers were examined by using unpaired t-tests.

The serum equol concentrations in the equol producers and non-producers were 38.0 ± 24.8 nmol/L and 23.2 ± 19.0 nmol/L, respectively, and that of the equol producers was significantly higher than that of the non-producers (p = 0.008). Among the equol producers, serum equol concentrations in both the FOS and control groups significantly increased after 2-week of intervention (Figure  2). However, there were no significant differences in serum equol levels between the FOS and control groups in the equol producers. The similarly increased serum equol concentrations in the FOS and control groups among equol producers may have been stimulated by the isoflavone supplement. Among the equol non-producers, there were no significant differences in serum equol concentrations between the FOS and control groups at baseline and after 2 weeks of intervention. Thus, FOS intervention did not affect serum equol production as compared to sucrose intervention as control in the equol producers or non-producers who were treated with isoflavones in this study.

Figure 2.

Figure 2

Serum equol concentrations of different study groups at baseline and after 2 weeks of intervention. EQ (+), equol producers; EQ (−), equol non-producers. Data is expressed as mean ± SD. Data was analyzed using a paired t-test. * Statistically significant (P < 0.05). The differences in the serum equol concentrations at baseline and after 2 weeks of intervention were examined using a paired Student’s t-test.

Setchell et al. have reported that expressing the product-precursor relationship as the urinary equol to daidzein concentrations ratio is a more reliable indicator of the conversion of daidzein to equol [34]. Among the equol producers and non-producers, 1- or 2-week FOS intervention had no effect on the capacity of colonic microbiota to produce equol (Table  2). Among the equol producers, urinary equol to daidzein concentration ratios in both the FOS and control groups was not significantly different after 1 week (p = 0.343 and p = 0.120, respectively) or 2 weeks (p = 0.578 and p = 0.432, respectively) compared with baseline. Similarly, in equol non-producers, FOS intervention did not affect the urinary equol to daidzein concentration ratios after 1 week (p = 0.794) or 2 weeks (p = 0.564) compared with baseline. In equol non-producers, no significant differences in urinary equol to daidzein concentration ratios in control group between baseline and after 1 week (p = 0.890) or 2 weeks (P = 0.383) were observed. Moreover, among the equol producers, urinary equol to daidzein concentration ratios in both the FOS and control groups was not significantly different between 1 and 2 weeks (p = 0.690 and p = 0.921, respectively). Similarly, among equol non-producers, urinary equol to daidzein concentration ratios in both the FOS and control groups was not significantly different between 1 and 2 weeks (p = 0.166 and p = 0.091, respectively).

Table 2.

Changes in urinary equol to daidzein concentration ratios in postmenopausal women1

 
Equol producer
Equol non-producer
P-value
 
(n = 21)
(n = 13)
3-way ANOVA3
 
 
 
 
 
Main effects
Interactions
  FOS2 Control FOS Control FOS Time Equol state FOS × time FOS × equol state Time × equol state FOS × time × equol state
Baseline
−1.03 ± 0.46
−1.09 ± 0.733
−1.94 ± 0.30
−1.94 ± 0.44
 
 
 
 
 
 
 
After 1 week
−0.77 ± 0.69
−0.74 ± 0.73
−2.04 ± 0.19
−2.07 ± 0.33
0.802
0.185
0.000
0.702
0.964
0.006
0.960
After 2 weeks
−0.92 ± 0.77
−0.82 ± 0.86
−1.83 ± 0.48
−1.62 ± 0.83
0.759
0.097
0.000
0.400
0.864
0.516
0.801
P-value4 (between baseline and after 1 week)
 
0.343
0.120
0.794
0.890
 
 
 
 
 
 
 
P-value4 (between baseline and after 2 weeks)
 
0.578
0.432
0.564
0.383
 
 
 
 
 
 
 
P-value4 (between 1 and 2 weeks)
  0.690 0.921 0.166 0.091              

1Urinary equol to daidzein concentration ratios; (equol/daidzein) log. All values are expressed as mean ± SD.

2FOS, fructooligosaccharides.

3Three-way ANOVA (factors of FOS intervention, time, and equol status) was performed to determine the effect of dietary intervention on the urinary equol to daidzein concentration ratios.

4The changes in the urinary equol to daidzein concentration ratios in each group were evaluated by repeated-measures ANOVA and the Tukey post hoc test.

However, significant differences were observed in the interaction effect of time × equol state after 1 week of intervention (p = 0.006); however, there were no effects after 2 weeks of intervention (p = 0.516). One important reason for this observation could be the intervention time. Lampe et al. reported that isoflavone excretion did not differ according to the duration of soy intervention, whether 4 days or 1 month [26]. On the other hand, other studies have suggested that long-term exposure to isoflavone may change the usual plasma concentrations and urinary excretion of these compounds as result of altered metabolism [35,36]. After an initial increase, plasma concentrations of daidzein and genistein decreased when individuals consumed soy daily over a 2-week period [35]. Lu et al. reported that urinary recovery of genistein and daidzein decreased progressively over 4 weeks of daily soy ingestion but increased for equol [36]. Thus, such findings have not always been consistent among studies, and the intervention period that would elicit an isoflavone response is controversial.

In present study, there were no effects of 2-week FOS intervention on the capacity of colonic microbiota to produce equol. Supplementation with FOS and isoflavones for more than 2 weeks may be required in order to increase the capacity of colonic microbiota to produce equol. Another reason for this observation could be the diet. It is possible that a dietary intake of isoflavone may affect equol production [16,37]. Japanese diet typically contains higher amounts of soy products than the western diets, but the consumption of soy foods during the study was not controlled. The average daily total isoflavones (aglycone and conjugates) in this study ranged from 41.6 – 54.8 mg and isoflavone supplement contains 21 mg aglycone form. If dietary isoflavones may be sufficient isoflavone to saturate equol producer capacity, the supplement cannot elicit a response. Hence, the increased equol production in the equol producers after 1 week of intervention may correlate with isoflavones intake during this period. If a diet had low isoflavone content in our study, FOS supplementation may elicit a response by increasing the capacity of colonic microbiota to produce equol. FOS intervention and time and the interaction effects of FOS × time, FOS × equol state, and FOS × time ×equol state did not influence the urinary equol to daidzein concentration ratios significantly. Hence, our results suggest that a 2-week intervention with an FOS dosage of 5 g/day does not significantly modulate equol production both in equol producers and non-producers among postmenopausal Japanese women. Although we did not assess the gastrointestinal microbial activity in the present study, a daily FOS intake of 2.5–10 g for 2–4 weeks has been reported to have prebiotic effects [25,38]. Additionally, FOS have been reported to increase the number of faecal bifidobacteria [25,38], affecting the intestinal microbiotal balance [24]. Ohta et al. reported that FOS increased equol production from daidzein in OVX rats [39]. Thus, it is likely that FOS intake produced similar effects in the present study, although the effects on equol production were not significant. One possible reason for this observation could be that FOS intake of 5 g/day may not be sufficient to change and increase the number of intestinal microbiota required for a significant increase in equol production in humans. It was reported that the gastrointestinal tolerances of healthy male and female volunteers to FOS were 0.30 g/kg and 0.40 g/kg, respectively, and a FOS daily intake of up to 30 g was safe [40,41]. In this study, 5 g FOS was ingested per day. Therefore, if a much higher level of FOS were used, there may be effects on the intestinal microbiota of equol production. On the other hand, previous studies have reported that probiotics or prebiotic supplementation with soy does not affect equol production in American and Australian populations [26,27,42]. Although certain Lactobacillus and Bifidobacteria species have been suggested to play a role in the metabolism of daidzein to equol [23,43], the relevance of dietary-induced changes in gastrointestinal microbiota activity to isoflavone bioavailability is poorly understood. This suggests that further research addressing the roles of intestinal microbiota is required to determine the effects of FOS on equol production.

This is a pilot study, so there are several limitations in our study. Firstly, with regard to our Japanese subjects, dietary isoflavones during the study was not controlled. The Japanese diet contains higher amounts of soy products compared to Western diets. It is possible that a high dietary intake of isoflavone may have an effect on the capacity of equol production. Secondly, this study was carried out with small populations in each group. Sample size calculation, performed before the start of the study, showed that with 24 subjects in each group, a difference of 30 nmol/L between the means of urinary equol concentration could be shown with a power of 0.80 and two-side type 1 error of 0.05. Thus, it was seemed that 24 subjects in each group were enough for the study. However, this study included only 21 equol producers and 13 equol non-producers. One possible explanation for the non-significant effects of FOS treatment was the insufficient power as a result of the small sample size. Large scale studies with a similar design on statistically significant populations are essential to confirm our findings. Thirdly, it is a short-term analysis, and the subjects under review were adults whose gastrointestinal microbiotal composition is relatively stable. Some studies have suggested that long-term exposure to isoflavones may change the usual plasma concentrations and urinary excretion of these compounds as result of altered metabolism [36]. Hence, it is possible that the 2-week duration of this study was insufficient to alter the intestinal microbiota for which a longer trial period may be required. Additionally, the washout period was only 2 weeks, thus carryover effect might exist in our study. Based on the results derived, we intend to carry out a large-scale study in which the treatment period and FOS dose are modified, and dietary isoflavones are controlled.

Conclusion

In conclusion, we have shown that a 2-week intervention with a daily dose of 5 g FOS does not significantly modulate the capacity of intestinal microbiota to produce equol in postmenopausal Japanese women, in either the equol producers or the non-producers treated with isoflavones in this pilot study. However, it may be possible to stimulate equol production with dietary conditions, especially probiotics such as Lactobacillus and Bifidobacteria species are added to a diet may be useful, on long-term intervention. Further large investigations that explore the roles of specific intestinal microbiota in equol production will enable the establishment of dietary conditions that are required to enhance equol production.

Abbreviations

FOS: Fructooligosaccharides; ANOVA: Analysis of variance.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

YI and MU conceived and designed the study. Substantial contributions to acquisition, analysis, and interpretation of data were made by YT, YI, FA, YK and MU. YT and YI drafted the manuscript. All authors read and approved the final manuscript.

Contributor Information

Yuko Tousen, Email: tousen@nih.go.jp.

Mariko Uehara, Email: mari@nodai.ac.jp.

Fumiko Abe, Email: fabe@nih.go.jp.

Yoshifumi Kimira, Email: kimira@josai.ac.jp.

Yoshiko Ishimi, Email: ishimi@nih.go.jp.

Acknowledgements

This study was supported by a Grant-in-Aid 19300237 for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan to YI an MU.

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