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The Journal of Clinical Endocrinology & Metabolism Vol. 86, No. 7 3045-3052
Copyright © 2001 by The Endocrine Society


Endocrine Care

Effects of an Isoflavone-Free Soy Diet on Ovarian Hormones in Premenopausal Women1

Lee-Jane W. Lu, Karl E. Anderson, James J. Grady and Manubai Nagamani

Departments of Preventive Medicine and Community Health (L.-J.W.L., K.E.A., J.J.G.) and Obstetrics and Gynecology (M.N.), The University of Texas Medical Branch, Galveston, Texas 77555

Address correspondence and requests for reprints to: Lee-Jane W. Lu, Ph.D., Department of Preventive Medicine and Community Health, The University of Texas Medical Branch, 700 Harborside Drive, Galveston, Texas 77555-1109. E-mail: LLu{at}UTMB.EDU

Abstract

Soy intakes have been associated with reduced rates of breast cancer in some Asian populations. The isoflavones daidzein and genistein and other components of soybeans may modulate endocrine function and lead to beneficial health effects. This study determined the effects of a soy diet containing minimum amounts of isoflavones on circulating levels of ovarian hormones and gonadotropins. Nine healthy, regularly cycling women consumed a constant soya-containing diet on a metabolic unit starting on day 2 of a menstrual cycle until day 2 of the next cycle. The soy diet was calculated to maintain constant body weight and included a 36-oz portion of soymilk that provided 334 kilocalories and less than 5 mg/day of total isoflavones. The energy distribution of the soy diet was 35.9% fat, 14.0% protein, and 49.8% carbohydrate whereas the home diets averaged 39% fat, 16.6% protein, and 42.5% carbohydrate. For the group, the soya diet provided more carbohydrate (P = 0.002) and less protein (P = 0.005) than the home diets. Daily consumption of the soya diet reduced daily circulating levels of 17ß-estradiol over the entire menstrual cycle by 20% (P < 0.01, paired t test, two-tailed) and progesterone by 33% (P < 0.0001) compared with levels during the home diet period, but had no effect on LH, FSH, or sex hormone-binding globulin. The decreases in follicular phase 17ß-estradiol during the soy diet can be accounted for by changes in energy intakes, nutrient density, and fiber intake, whereas changes in luteal phase 17ß-estradiol were most strongly associated with differences in fiber intake. Changes in progesterone levels were most strongly associated with changes in protein intake and much less with other nutrients. Isoflavones were not detectable in plasma and urine during either the soy or home diet periods. These results suggest that at least under the conditions of this study, a soy diet with low levels of isoflavones and low energy intake from protein can reduce circulating ovarian steroids without altering gonadotropins. Our results are consistent with previous studies showing decreased ovarian hormone levels and decreased risk of breast cancer in populations consuming soya diets and an inverse relationship between animal protein intake and breast cancer risk and, therefore, may have implications for breast cancer prevention.

BREAST CANCER IS an important public health problem, especially in more affluent Western countries (1). Epidemiological studies have associated dietary consumption of soy products with a reduced risk for breast cancer (2, 3, 4, 5, 6, 7, 8). Case-control studies in premenopausal women in Singapore (3, 4), in Japanese women in Japan (5), and in pre- and postmenopausal Asian women in California and Hawaii (6) and a cohort study in Japanese women in Japan (2), for example, have shown that breast cancer risk was inversely related to soy intake. Two case-control studies found an inverse relationship between urinary phytoestrogen excretion and breast cancer risk (7, 9). These epidemiological observations are supported by results of animal studies in which soya feeding was protective against experimentally induced mammary tumors (10, 11, 12, 13, 14, 15). However, one casecontrol study of women in China (16) and one prospective study of women in Japan (17) failed to support such a relationship.

A large body of evidence suggests that ovarian hormone levels (18, 19, 20, 21, 22) and related reproductive factors (e.g. age of menarche, menopause, and parity) (23) influence breast cancer development. 17ß-Estradiol stimulates breast and endometrium cell proliferation (19). Progesterone antagonizes the proliferative effect of 17ß-estradiol on the endometrium. However, the fact that breast cell proliferation increases during the luteal phase of the menstrual cycle, when progesterone concentrations are the highest, suggests that progesterone may enhance breast cell proliferation (19, 24).

Soya contains many chemopreventive components including Bowman Birk protease inhibitors, inositol phosphates, phytosterols, saponins, and the isoflavones genistein and daidzein (25). Isoflavones are weak estrogens (26, 27), induce cell differentiation, and inhibit cell proliferation (28), angiogenesis (29), tyrosine kinase (30), and topoisomerase II (31). However, many of these effects were observed in vitro at concentrations of isoflavones above physiological levels and with biphasic dose responses (32, 33). Hsieh et al. (27) showed that genistein can enhance the growth of human breast cancer cells transplanted into nude mice. It is, therefore, important to assess the roles of isoflavones in humans.

The results of several studies of the effects of isoflavones on ovarian hormones in humans (34, 35, 36, 37, 38, 39, 40, 41, 42) have varied, probably due to differences in study design (43). In a previous study, we found that circulating ovarian hormone levels decreased during 1 month of consumption of soy containing significant quantities of isoflavones, when measured on three different menstrual cycle days in six premenopausal women (36). This is consistent with the results of a cross-sectional study of women in Japan (44). To gain a better understanding of the roles of nonisoflavone components of soy, in the present study, we determined the effects of a calculated diet containing soymilk from which more than 99% of the isoflavones had been removed on ovarian hormones and gonadotropins in premenopausal women.

Study Design and Methods

Study design

This was a longitudinal study that compared circulating hormone concentrations in premenopausal women during a baseline observation period while the subjects consumed their usual home diets to those during 1 month of a controlled diet that included soymilk. The study was approved by the Institutional Review Board of the University of Texas Medical Branch. Written informed consent was obtained from each subject.

Subject selection

Subjects were premenopausal women who were healthy as determined by history, physical examination, standard blood cell counts, clinical chemistry determinations, and serum ferritin levels. Vegetarians, smokers, and those who consumed more than two alcohol-containing drinks per month, had taken antibiotics within the preceding 3 months, had irregular menstrual cycles, or had taken contraceptive medications during the preceding 6 months were excluded. Contraceptive medications were not allowed during the study. Small doses of acetaminophen or aspirin were permitted. One subject was taking replacement levothyroxine (0.1–0.25 mg/day) for hypothyroidism and was determined to be euthyroid. Another took sertraline (25 mg/day) for mild depression before and during the study.

Baseline study period

Day 1 of each cycle (the first day of menstrual bleeding) was recorded throughout the study. Subjects underwent baseline studies as outpatients of the General Clinical Research Center (GCRC) for at least 3 months but no longer than 7 months while consuming their usual home diets, and were then placed on a soya diet for 1 month. Soy products were not part of the usual diet of any subject, and all were instructed to avoid soy products during the baseline observation period. The major purposes of the baseline observations were to assure that the subjects had regular cycles and to record cycle length. During the first month of the baseline period, blood was obtained on cycle days 5 (during the follicular phase), 12 (midcycle), and 22 (luteal phase) for measurement of 17ß-estradiol and progesterone. Subjects were retained in the study if luteal phase progesterone levels exceeded 4 ng/mL. During the second month of the baseline period, blood samples were collected on cycle days 5 and 7 and then daily from day 9 through the second day of the subsequent cycle. After a rest period of at least one menstrual cycle, subjects were studied as inpatients on the GCRC beginning on cycle day 2 and discharged on cycle day 2 of the next cycle. Intakes of energy, protein, carbohydrate, fat, and fiber during consumption of usual home diets were estimated using "Block’s Health Habit History Questionnaire" (45), and the values were used for comparison with intakes during the soya diet period.

Soya diet period

Subjects consumed a soya-containing diet for one menstrual cycle on the GCRC. Meals and soymilk were consumed under direct supervision. For each subject, the soya diet (including both soymilk and nonsoya foods) was calculated to match that needed to maintain constant body weight, based on the Harris-Bennedict equation, with adjustment for physical activity (46, 47). The soya diet consisted of three rotating daily menus and included a 36-oz portion of soymilk daily that provided 334 kilocalories, 37.9 g soy protein, and 20.3 g soy oil. Soymilk was prepared from a soy powder from which greater than 99% of the isoflavones had been removed by alcohol extraction. According to the manufacturer (Protein Technologies Inc., St. Louis, MO), the isoflavone content of this product was ~4.5 mg for the 36-oz (37.9 g soy protein) daily portion. Soymilk was ingested between 1700 and 2000 h without other foods and in place of the evening meal. The energy distribution of the soya diet was 35.9% fat, 14.0% protein, and 49.8% from carbohydrate daily (Table 1Go), which is similar in macronutrient distribution to that consumed by many residents of Western countries (48).


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Table 1. Characteristics of study subjects

 
Subjects continued their usual daily activities, including work, study, and exercise. Fasting blood samples were obtained between 0700 and 0900 h on cycle days 5, 7, and 9 and then daily until the second day of the next cycle for measurement of 17ß-estradiol, progesterone, gonadotropins, daidzein, and genistein. Two 12-h urine samples were collected daily starting on cycle day 2 and continuing until cycle day 2 of the next cycle for analysis of urinary excretion of daidzein and genistein. Sera were separated and stored immediately at -80 C until analysis. Urine samples were refrigerated during collection and then stored at -20 C until analyzed.

Serum levels of ferritin were monitored biweekly throughout the study. If the serum ferritin fell below 10 ng/mL during the study, an oral iron supplement was provided.

Hormone analysis

Serum concentration of 17ß-estradiol was measured by a specific RIA after extraction with hexane and ethyl acetate (vol/vol, 3:2), as described previously (49). Progesterone levels were measured by direct RIA using commercial kits (Diagnostic Systems Laboratories Inc., Webster, TX) (36). Blank and control sera were run with each assay. Assays were performed in duplicate. Levels of LH and FSH were measured by immunoradiometric assay using commercial kits (Diagnostic Systems Laboratories Inc.). Levels of sex hormone-binding globulin (SHBG) were measured by time-resolved fluoroimmunoassay using a commercial kit (Wallac, Inc., Geithersburg, MD). The intra-assay coefficients of variation (CV) were 4–8% and interassay variation was 5–9%. Steroids in the baseline and treatment samples of each subject were analyzed together in a single batch.

Analysis of soya isoflavones genistein and daidzein in soymilk, urine, and serum

Isoflavone content in soymilk and urine after the addition of an internal standard, 4',7-dihydroxyflavone, was measured by gas chromatography with flame ionization detection, as described previously (50). Amounts of isoflavones were calculated from the peak areas of each isoflavone relative to that of the internal standard. Gas chromatography peak areas were linear for isoflavone concentrations of 0.1–2.0 µg/µL. Amounts of conjugated isoflavones were expressed as amounts of the aglycone forms.

Serum levels of daidzein and genistein were analyzed by competitive enzyme-linked immunoassays, using monoclonal antibodies generated against daidzein and genistein, and horseradish peroxidase conjugates of daidzein and genistein as tracers, as described previously (51, 52). The detection limit of the assay was 0.1 ng/well (0.1 ng/250 µL assay medium or 0.05–0.1 ng/µL plasma). Sera were obtained daily ~15 h after soymilk ingestion. Daidzein and genistein were measured in 1/3 cycle of the blood samples (once every third day). Results were expressed as amounts of free forms of the isoflavones. Mean values for samples analyzed for each diet period were calculated.

Data analysis

The main outcome measures were serum concentrations of 17ß- estradiol, progesterone, LH, and FSH, and menstrual cycle length. Due to cyclic changes in hormone levels, summary measures of the data were used in the data analysis (53). The hormone data were expressed as areas under the concentration time curves (AUCs), mean daily levels, and peak levels, as appropriate for assessing changes in hormones over two entire cycles under the two different dietary conditions.

Serum levels of hormones obtained once every other day initially and daily after day 9 until day 2 of the next cycle were used to calculate area under the serum concentration vs. time curves (AUC, concentration x time) using WinNonlin software (Scientific Consulting Inc., Cary, NC). AUC represents the integrated or cumulative exposure to these cyclic hormones during each dietary period. The AUC was divided by the number of days to obtain the mean daily level. Peak levels represent the maximum levels recorded during the cycle and during the follicular and luteal phases. AUCs and mean daily levels were calculated for the entire cycle and for the follicular and luteal phases using the day of the serum LH surge as a reference point. The LH surge represents the end of the follicular phase and the beginning of the luteal phase. For graphical analysis of the time courses of hormone levels, mean values were plotted using the day of serum LH surge as a reference point.

Each outcome summary measure (i.e. cycle lengths, AUCs, mean daily levels, and peak levels) was analyzed across the entire cycle, and then also within the follicular and the luteal phases. Most comparisons were for within-subject changes and used a mixed model approach (54). To determine the contribution of covariate nutrient intakes on hormone changes, adjustment for intakes of total energy and individual macronutrient (protein, fat, carbohydrate, and fiber) were performed using analysis of covariance with the SAS procedure MIXED (SAS Institute, Inc., Cary, NC). The adjustment was made by adding the covariate to the model one at a time due to small sample size. Each model was tested for effect modification of body mass index (BMI) by including interactions of baseline BMI (below median vs. >= median) with treatment. All statistical analyses were performed using SAS (SAS Institute, Inc.). All results were expressed as mean ± SEM. Unless stated otherwise (e.g. paired t test), all P values are two-tailed, from the mixed model regression analysis, and are considered significant if P less than or equal to 0.05.

Results

Subject enrollment and dietary intakes

Characteristics of the nine women who completed the study are shown in Table 1Go. Six were Caucasians, three were African-Americans, and all but one was nulliparous. The baseline mean BMI was 25.8 ± 3.5 (SD) kg/m2. All women had regular cycles (CV in cycle length during the 3-month baseline of 5.7–11%). Cycle lengths, body weight, and BMI did not differ between the home and soy diet periods. For the group, average intakes of total energy and fat between home diets and the soya diet did not differ significantly. The soya diet on average provided more carbohydrate (49.8% vs. 42.5% of calories, P = 0.002), less protein (14% vs. 16.6%, P = 0.005), and less fiber (6.4 g vs. 13.8 g/day, P = 0.02, Table 1Go) than did the home diets. There were individual variations in these dietary intakes. Because of individual variations in cycle length, the number of soy feeding days also differed somewhat among subjects.

Dietary intakes and urinary and serum levels of isoflavones

We determined the isoflavone content of the soy powder to be 5.6 mg per 37.9 g soy protein per day of soy intake, which is similar to the 4.5 mg determined by the manufacturer. Isoflavones were measured in all urine samples collected during the entire soy cycle from two of the nine study subjects, and, as expected, isoflavones were not detected. These data suggest that the soya diet was, indeed, very low in isoflavones and is referred to as isoflavone free. Serum levels of isoflavones were determined in daily samples from every third cycle day during both diet periods. Serum daidzein levels of 0.15 ± 0.02 µg/mL (mean ± SEM) for the home diet period were significantly higher than those of 0.08 ± 0.05 µg/mL during the isoflavone-free soy diet (P = 0.02, paired t test). Serum levels of genistein were 0.16 ± 0.02 µg/mL during the home diet period and 0.17 ± 0.04 µg/mL during the isoflavone-free soy diet period (P = 0.65). However, these levels are at the sensitivity limits of the immunoassays.

Effects on 17ß-estradiol levels

Due to the cyclic nature of ovarian hormones, 17ß-estradiol (and progesterone, LH, and FSH, see below) levels were studied daily during both the follicular and luteal phases. Because interindividual variation in cycle length is largely attributable to variation in follicular phase length (55, 56), the day of the LH surge was used as a reference point for separation of the follicular and the luteal phases. The levels of 17ß-estradiol averaged for each cycle day decreased over the full cycle during soymilk ingestion (Fig. 1AGo), as did AUC (Fig. 1BGo), mean daily level for each cycle ( = AUC/cycle length), and peak levels (Fig. 1CGo) of 17ß-estradiol in most subjects. These decreases in circulating 17ß-estradiol levels were evident when analyzed over the entire cycle, over the follicular phase, and over the luteal phase. For the total cycle, follicular phase and luteal phase AUCs (pg/mL x day), the 17ß-estradiol decreased by ~20% during soya diet feeding (P values from 0.005 to 0.03, Fig. 1BGo). Average daily levels (pg/mL) of 17ß-estradiol decreased by 16–19% during the follicular and the luteal phases of the cycle (P values from 0.03 to 0.07, Fig. 1CGo). Peak levels of 17ß-estradiol during the follicular phase were suppressed by ~24% during the soya diet (P = 0.004, Fig. 1CGo).



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Figure 1. Effects of 1 month of soya consumption on 17ß-estradiol levels in nine premenopausal women. Subjects consumed a controlled calculated diet that contained 37.9 g soy protein, 20.3 g soy oil, and less than 5 mg isoflavones on a metabolic unit from cycle day 2 until day 2 of the next cycle. Serum levels of 17ß-estradiol were measured for one cycle during home diets and for one cycle during the soy diet (Iso-free soy). Follicular phase lengths are days between onset of menstrual bleeding and the day of LH surge. Luteal phase lengths are days after the LH surge day to the day before subsequent menstrual bleeding. A, Mean levels of each cycle day (mean ± SEM) for the group in relation to the day of serum LH surge over the full cycle. B, AUCs (areas under the serum concentration time curves). C, Log Y-scale showing individual mean daily levels averaged over a cycle or a menstrual phase and individual peak levels and their group average. P values are from a mixed model analysis.

 
Effects on progesterone levels

The group mean level of progesterone for each luteal phase day decreased during the low isoflavone soya diet (Fig. 2AGo). The luteal phase AUCs (Fig. 2BGo, P = 0.0002) and luteal phase mean daily levels (Fig. 2CGo, P <= 0.002) of progesterone were lower during the soya diet than during the home diets in all nine subjects, with mean decreases of ~30%. The peak levels were lower in eight subjects (Fig. 2CGo, P = 0.01). Progesterone levels during the follicular phase were generally very low, as expected, and the difference during the two dietary periods was not statistically significant (P > 0.2).



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Figure 2. Effects of 1 month of soya consumption on progesterone levels in nine premenopausal women. A, Mean levels of the group for each cycle day in relation to the LH surge. B, Individual AUCs. C, Individual mean daily levels of a cycle or the follicular and luteal phases, individual peak levels, and the group averages. For study design see the legend to Fig. 1Go.

 
Effects on gonadotropin levels

Circulating levels of LH and FSH were measured during both dietary periods to determine the role of these two gonadotropins on soya-induced changes in 17ß-estradiol and progesterone levels ( Figs. 1–2GoGo). As shown in Fig. 3Go, consumption of the soya diet for 1 month did not influence the total cycle, cycle mean daily, or peak levels of LH and FSH. The cycle profiles of ovarian steroids and gonadotropins of our study subjects ( Figs. 1–3GoGoGo) were typical for premenopausal women (56, 57, 58).



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Figure 3. Effects of 1 month of consumption of soymilk-containing diet on mean (±SEM) cyclical levels of LH (A) and FSH (B) in premenopausal women. For study design see the legend to Fig. 1Go.

 
Effects on SHBG levels

SHBG levels were measured in selected samples. Based on LH surge day, sera from the early follicular phase, midfollicular phase, LH surge day, midluteal phase, and last day of a cycle were analyzed for SHBG. The mean cycle level was calculated for each diet cycle for each subject and used for statistical analysis. Group mean cycle SHBG levels for home diets and the isoflavone-free soy diet were 50.7 ± 21.3 nmol/L (range, 24.6–83.3) and 48.7 ± 24.4 nmol/L (range, 28.5–86.7), respectively. SHBG levels did not differ between the two diet periods (P = 0.59).

Effects of macronutrients on hormone levels

Because the soy diet contained significantly less protein and more carbohydrate than did the home diets (Table 1Go), adjustment for differences in these and other nutrient intakes were made one at a time during statistical analysis (Table 2Go). For total cycle and luteal phase levels of 17ß-estradiol (AUCs and mean daily levels) and peak 17ß-estradiol levels, the results from the statistical test between the two dietary periods remained significant after adjustment for differences in intake of energy, protein, carbohydrate, and fat (in most cases P < 0.05) but did not for fiber (P > 0.10). However, for follicular phase levels of 17ß-estradiol, adjustment for all macronutrients changed the test results from significant to nonsignificant (Table 2Go).


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Table 2. Effects of nutrient intakes on ovarian hormones in premenopausal women during the home vs. the soy diets

 
For total cycle and luteal phase progesterone (AUCs, cycle mean daily levels, and peak levels), the tests for home diet vs. soy diet changed from highly significant (P < 0.002) to nonsignificant (P > 0.10) after adjustment for protein intake, but remained significant after adjustment for the intake of energy, fat, carbohydrate or fiber. In addition to providing less energy as protein, the isoflavone-free soy diet also contained 37.9 g soy protein and 20.3 g soy oil, which were either absent or low in the study subjects’ home diets. However, no adjustment was made for these two covariates because they were, by study design, constant for all subjects.

During the soy diet, increases in soy protein intake (6.5% of total energy intake) were accompanied by decreases in nonsoy protein intakes such that protein intake was maintained at 14% of total energy. Relationships between progesterone levels and nonsoy protein intakes during the two different dietary periods were analyzed by regression analysis as shown in Fig. 4Go. During home diets, which did not contain soy protein, individual progesterone levels correlated highly with individual total protein intakes (expressed as percentage of energy from protein in Fig. 4Go, r2 = 0.77, slope = 2.6, P = 0.002). During the soy diet, progesterone levels also correlated well with percentage of energy from nonsoy protein ( = %-total protein – %-soy protein, R2 = 0.25, slope = 11.5, P = 0.18). However, the slopes of these two lines differed.



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Figure 4. Correlation between progesterone levels and nonsoy protein intakes (expressed as percentage of energy intake) during home diets and the soy diet. Individual subjects are indicated by letters.

 
For gonadotropins, similar adjustment for macronutrients did not affect the statistical significance levels (results not shown). No effect modification of baseline BMI and diet was found (all P > 0.10).

Discussion

To determine the effects of the nonisoflavone components of soybeans on ovarian hormone levels in premenopausal women, hormone levels were compared during a soycontaining diet with minimal amounts of isoflavones and home diets that did not include soy or isoflavones. Feeding a soy diet containing ~14% of energy as protein that included ~6.5% soy protein effectively reduced circulating levels of 17ß-estradiol and progesterone (Figs. 1Go and 2Go), in the absence of isoflavones (<5 mg isoflavones per day). This effect occurred throughout the menstrual cycle. The changes observed were similar to previous observations with isoflavone-containing soy diets (36) and suggest that the synthesis and/or metabolism of these two ovarian steroids may be affected at least in part by soy components other than isoflavones. As with isoflavone-containing soy (36), the isoflavone-free soy diet did not alter circulating levels of gonadotropins (Fig. 3Go), suggesting again that the effects of soy diets on ovarian hormones are not mediated by gonadotropins. Because the isoflavone-free soy diet did not affect SHBG levels, the effects on hormone levels are not due to altered SHBG levels.

None of our study subjects gained weight during the month of soya feeding because they consumed similar amounts of energy during both dietary periods (Table 1Go). BMI and fat intakes, each of which may influence hormone levels and cancer risk (59, 60) were not predictors of the observed soya-induced changes in ovarian steroid hormone levels. Effects on hormone levels were not associated with basal BMI of the study subjects. The study subjects consumed more carbohydrate during the soya diet than during the home diet period (Table 1Go), but adjustment for individual differences in carbohydrate intakes did not alter the effect of soy feeding on ovarian hormone levels.

In contrast, adjustment for differences in protein intake accounted for the observed differences in follicular phase 17ß-estradiol and luteal phase progesterone levels between the two diet periods (Table 2Go). During both dietary periods, progesterone levels correlated well with individual protein intakes from nonsoy sources, but the slopes of the two regression lines differed (Fig. 4Go). These data suggest that the relationship of progesterone and nonsoy protein intake is modified according to which diet the subjects were on (Fig. 4Go) and soy protein may be one of the effect modifiers of this relationship. For luteal phase 17ß-estradiol levels, only adjustment for fiber intake affected the unadjusted P values, suggesting that luteal 17ß-estradiol is affected by fiber intake. During the soy-feeding period, subjects consumed less fiber than during the home diet period (Table 1Go). Perhaps, because soy fiber modifies cecal content of organic acids (61) and may influence intestinal flora and intestinal function (62), the kinetics of enterohepatic circulation and the excretion of 17ß-estradiol may be altered by the soy diet.

Results from previous studies (34, 35, 36, 37, 40, 41, 42, 43) on the effects of soy feeding on ovarian hormone levels have varied, most likely due to differences in study design. Most of these studies intended to test the hypothesis that the breast cancer preventive effects of soy diets were mediated by isoflavones, and to obtain high intakes of isoflavones, the intake of soy protein was often also increased significantly. Of those studies in which energy and nutrient intakes were reported (34, 40, 41, 43), we estimate that protein intake during the soy feeding periods was about 20% of daily energy. Results from the present study suggest that an increase in protein intake per se may increase ovarian hormone levels, which, in turn, may offset any inhibitory effects of isoflavones or other chemopreventive components of soy on ovarian hormone levels. In a study to determine the effects of soy feeding on ovarian hormone levels in free-living women in Japan (42), soymilk feeding reduced 17ß-estradiol levels by 25% in the intervention group when compared with preintervention baseline levels of this group. However, the mean decreases in the intervention and the control, nonintervention arms were not significantly different and this may be due to differences in protein intakes between the treatment group, which consumed on average 16% energy from protein, and the control group, which consumed, on average, 14% energy from protein (42). Our study subjects consumed an average of 16.6% of energy from protein during home diets and 14% during soy feeding (Table 1Go). Thus, to study the effects of phytoestrogens on ovarian hormone levels, it may be important to control for protein and other nutrient intakes.

Relationships between breast cancer and protein intake have been studied less than the relationships to fat intake (reviewed in Ref. 63). Ecological data (64) and limited case-control studies in women in Italy (65, 66), Hawaii (67), and Singapore (3), but not Japan (68), suggest an inverse relationship between animal protein intake and breast cancer risk. In rats, a low casein diet was found to be effective in lowering PRL and ovarian hormones (69, 70), a result consistent with our observations in humans. Anderson et al. (71, 72) found that decreasing the protein to carbohydrate ratio of the diet can alter testosterone and corticosteroid levels and estradiol 2-hydroxylation in men, but intervention studies in women of the relationships between protein and ovarian hormones are limited. A better understanding of these relationships has implications for dietary intervention to reduce breast cancer risk.

Limited data on soy intakes of Asian populations show that soy food and soy protein intakes can be as high as 400 and 40 g/day, respectively, with a median protein intake estimated at 2–8.7 g/day (3, 16, 73). In this study, subjects ingested 37.9 g soy protein per day, which is in the upper portion of this range of soy protein intake. Thus, ovarian hormone levels can be reduced with physiologically relevant levels of soy intake. Our results may have implications for breast cancer prevention by soy dietary intervention.

Acknowledgments

We thank Ann Livengood of the GCRC, The University of Texas Medical Branch, for designing the research diets; the excellent technical assistance of Amy Nimmo, Emily Thomas, Amber Zwernemann, and Xin Ma; and the nursing and dietary research assistance provided by the staff of the GCRC, The University of Texas Medical Branch. Protein Technology Inc. (St. Louis, MO) generously provided the isoflavone free soy powder for this research.

Footnotes

1 Supported by U.S. Public Health Service Grants: NIH Grants CA65628, CA56273, and CA45181; National Center for Research Resources General Clinical Research Center Grant MO1-RR-00073; and Grant AICR95B119. Back

Received September 19, 2000.

Revised March 8, 2001.

Accepted March 22, 2001.

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