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Impact of a lignan-rich diet on adiposity and insulin sensitivity in post-menopausal women

Published online by Cambridge University Press:  13 January 2009

Anne-Sophie Morisset
Affiliation:
Molecular Endocrinology and Oncology Research Center, Laval University Medical Research Center, 2705 Laurier Blvd. T3-67, Québec, Que., CanadaG1V 4G2 Department of Food Science and Nutrition, Laval University, Québec, Que., CanadaG1V 0A6
Simone Lemieux
Affiliation:
Department of Food Science and Nutrition, Laval University, Québec, Que., CanadaG1V 0A6 Institute of Nutraceuticals and Functional Foods, Laval University, Québec, Que., CanadaG1V 0A6
Alain Veilleux
Affiliation:
Molecular Endocrinology and Oncology Research Center, Laval University Medical Research Center, 2705 Laurier Blvd. T3-67, Québec, Que., CanadaG1V 4G2 Department of Food Science and Nutrition, Laval University, Québec, Que., CanadaG1V 0A6
Jean Bergeron
Affiliation:
Lipid Research Center, Laval University, Québec, Que., CanadaG1V 0A6
S. John Weisnagel
Affiliation:
Lipid Research Center, Laval University, Québec, Que., CanadaG1V 0A6 Diabetes Research Unit, Laval University Medical Research Center, 2705 Laurier Blvd. T3-67, Québec, Que., Canada
André Tchernof*
Affiliation:
Molecular Endocrinology and Oncology Research Center, Laval University Medical Research Center, 2705 Laurier Blvd. T3-67, Québec, Que., CanadaG1V 4G2 Department of Food Science and Nutrition, Laval University, Québec, Que., CanadaG1V 0A6 Institute of Nutraceuticals and Functional Foods, Laval University, Québec, Que., CanadaG1V 0A6 Lipid Research Center, Laval University, Québec, Que., CanadaG1V 0A6
*
*Corresponding author: André Tchernof, fax +1 418 654 2761, email [email protected]
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Abstract

There has been a growing interest in lignans, a class of phyto-oestrogens, because of their potentially favourable effects on human health. The aim of the present study was to compare the metabolic profile of post-menopausal women consuming various amounts of dietary lignans. Phyto-oestrogen intake was assessed using a 3-d dietary record analysed with a Canadian food phyto-oestrogen content data table in 115 post-menopausal women (age 56·8 (sd 4·4) years and BMI 28·5 (sd 5·9) kg/m2). Plasma enterolactone (ENL), the major biologically active metabolite of dietary lignans, was determined by time-resolved fluoroimmunoassay. Anthropometrics, abdominal adipose tissue areas (computed tomography), body composition (hydrostatic weighing) and insulin sensitivity (hyperinsulinaemic–euglycaemic clamp) were measured in all women. Women in the high dietary lignan intake subgroup (n 29) had a significantly lower BMI and total body fat mass, as well as a better glucose disposal rate (GDR; P < 0·05), compared with women in the low lignan intake subgroup (n 28). The majority of women with the highest dietary lignan intake were also in the highest quartile of plasma ENL (59 %). Women in the highest ENL quartile had a significantly lower BMI (26·1 (sd 4·4) v. 30·4 (sd 6·9) kg/m2, P < 0·05), total body fat mass (24·8 (sd 9·8) v. 33·3 (sd 13·3) kg, P < 0·05), 2 h postload glycaemia (5·5 (sd 0·9) v. 5·7 (sd 0·8) nmol/l, P < 0·05) and a higher GDR (8·3 (sd 2·7) v. 5·5 (sd 2·8), P < 0·01) compared with women in the lowest ENL quartile. In conclusion, women with the highest ENL concentrations had a better metabolic profile including higher insulin sensitivity and lower adiposity measures.

Type
Short Communication
Copyright
Copyright © The Authors 2009

Consumption of lignan-rich diets, which contain vegetables, fruits and whole-grain products, may protect against chronic diseases(Reference Adlercreutz1Reference Dodin, Cunnane and Masse4). The main dietary lignans are secoisolariciresinol, matairesinol, pinoresinol and lariciresinol, found as glycosides in food(Reference Thompson, Boucher and Liu5). Once in the colon, dietary lignans are transformed to mammalian lignans, enterodiol and enterolactone (ENL), by intestinal bacteria before reaching the circulation(Reference Adlercreutz1, Reference Wang6).

Only a few studies in human subjects have been published addressing the effects of a lignan-rich diet on adiposity measures or insulin sensitivity(Reference de Kleijn, van der Schouw and Wilson7Reference Zhang, Wang and Liu10). An inverse association was reported between plasma ENL concentrations and body weight in women(Reference Kilkkinen, Stumpf and Pietinen8). The present study is the first specific examination of the association between dietary lignans and adiposity or insulin sensitivity using two lignan-related measures, that is, dietary intake and plasma ENL concentrations. The objective of the present study was to compare the metabolic profile of post-menopausal women consuming various amounts of lignans. We tested the hypothesis that the majority of women consuming high amounts of dietary lignans would have higher plasma ENL concentrations as well as lower adiposity measures and higher insulin sensitivity.

Subjects and methods

Subjects of the study were recruited through the local newspapers of Quebec City (Canada). Inclusion criteria were: age ≤ 70 years; post-menopausal status (absence of menses for at least 1 year and levels of follicle-stimulating hormone ≥ 22 IU/l); weight stability ( ± 2·0 kg during the 3 months before testing). Women using hormone replacement therapy or treatment for CHD, diabetes, dyslipidaemias or endocrine disorders (except a stable dose of thyroxin for well-controlled hypothyroidism) were excluded. Data from women who did not complete the dietary record or for whom plasma ENL measures could not be performed were not included in the study. A total of 115 women were included in the present analysis. All women signed a consent form approved by the Medical Ethics Committee of Laval University.

Body fatness and body fat distribution

Body composition was measured by the hydrostatic weighing technique(Reference Behnke and Wilmore11, Reference Siri12). Total, visceral and subcutaneous adipose tissue areas were assessed by computed tomography as described previously(Reference Major, Piche and Bergeron13, Reference Piche, Lapointe and Weisnagel14).

Glucose homeostasis

A 75 g oral glucose tolerance test was performed in the morning after a 12 h overnight fast. Blood samples were collected in EDTA-containing tubes through a venous catheter from an antecubital vein at − 15, 0, 15, 30, 45, 60, 90, 120, 150 and 180 min for the determination of plasma glucose(Reference Richterich and Dauwalder15). Blood glucose concentration was determined using a Glucometer Elite (number 3903-E; Bayer Corporation Inc., Tarrytown, NY, USA)(Reference Richterich and Dauwalder15). The inter-assay CV was 1·0 % for a basal glucose value set at 5·0 mmol/l. Insulin sensitivity was measured using the hyperinsulinaemic–euglycaemic clamp technique, as described by DeFronzo et al. (Reference DeFronzo, Tobin and Andres16). The glucose disposal rate (GDR) corresponds to the glucose infusion rate necessary to maintain euglycaemia during the last 30 min of the clamp per kilogram of body weight. Insulin was measured using RIA with polyethylene glycol separation(Reference Desbuquois and Aurbach17).

Plasma lipid–lipoprotein levels

Blood samples were drawn after a 12 h fast on the morning of the hyperinsulinaemic–euglycaemic clamp. Plasma lipoprotein fractions were isolated by ultracentrifugation(Reference Havel, Eder and Bragdon18, Reference Burstein and Samaille19).

Cholesterol- and TAG-level measurements were performed enzymatically, as described previously(Reference Major, Piche and Bergeron13, Reference Piche, Lapointe and Weisnagel14).

Food records and phyto-oestrogen intake

Dietary intake was evaluated through a 3-d food record including two weekdays and one weekend day. Food items were weighed by each participant with a scale provided by the registered dietitian. The nutrient intake was evaluated using the Nutrition Analysis Software Food Processor version 7.2 (ESHA Research, Salem, OR, USA). The phyto-oestrogen intake was calculated using the 3-d dietary record analysed with a Canadian food phyto-oestrogen content data table including lignans (secoisolariciresinol, matairesinol, pinoresinol and lariciresinol), isoflavones (genistein, daidzein, glycitein and formononetin) and coumestans (coumestrol)(Reference Thompson, Boucher and Liu5). This database included 121 food items commonly consumed in Canada.

Plasma enterolactone

Plasma ENL concentrations were determined by time-resolved fluoroimmunoassay using the method developed and validated by Adlercreutz et al. (Reference Adlercreutz, Wang and Lapcik20). Briefly, plasma samples were incubated overnight at 37°C with acetate buffer 0·1 m (pH 5·0) containing 2 U/ml sulphatase (Sigma, S9626, St Louis, MO, USA) and 0·2 U/ml β-glucuronidase (Roche, 03707580001, Mannheim, Germany). Hydrolysed ENL was extracted using diethyl ether and concentrations were measured by competitive immunoassay using a commercial kit (Labmaster, Turku, Finland). Fluorescence was quantified using a DELFIA Victor 3 multilabel counter (Wallac, Ramsey, MN, USA). To assess extraction recovery, 20 000 CPM of 3H-labelled oestradiol 17β-glucuronide (American Radiolabeled Chemicals Inc., ART 1320, St Louis, MO, USA) was added to each plasma sample. All measurements were adjusted using their individual recovery percentage. The average recovery percentage was 98·6 %. The intra- and inter-assay coefficients of 3·1–6·1 and 6·1–8·6, respectively, were reported by Stumpf et al. (Reference Stumpf, Uehara and Nurmi21).

Physical activity record

Women filled a validated 3-d activity diary(Reference Major, Piche and Bergeron13, Reference Bouchard, Tremblay and Leblanc22) with a list of categorised activities graded on a 1–9 scale for each 15 min period. We considered the mean daily energy expenditure and the frequency of participation for categories 6–9 (moderate to intense exercise), which have an energy cost of ≥ 5 kJ/kg per 15 min ( ≥ 4·8 MET), using a previously published formula(Reference Major, Piche and Bergeron13). The 3-d average of moderate to intense exercise values was used.

Statistical analyses

Since lignan consumption and plasma ENL were not normally distributed and did not normalise with mathematical transformations, the analyses were performed using quartiles of each variable. The use of quartiles was based on the fact that twenty-nine women (25 % of the sample) had lignan intakes that were particularly elevated. Similar distributions were also observed for the ENL concentrations. For lignan consumption, quartile 1 was considered as the low dietary lignan intake subgroup and was compared with quartile 4, considered as the high dietary lignan intake subgroup by t tests. ANOVA/Tukey's honestly significant difference or Wilcoxon tests were performed to compare the means among the ENL quartiles. Adjustments for confounders were performed using least-squares means and a posteriori mean contrasts. The Spearman rank correlation coefficients were computed to quantify the association between lignan intakes and plasma ENL concentrations. The κ value was used to evaluate the concordance between the ENL and lignan consumption quartiles.

Results

The characteristics of the sample are shown in Table 1. Women in the high dietary lignan intake subgroup (n 29) had a significantly lower BMI (30·0 (sd 5·2) v. 26·6 (sd 4·0) kg/m2, P ≤ 0·01) and total body fat mass (31·5 (sd 10·1) v. 26·3 (sd 9·3) kg, P ≤ 0·05), as well as a higher GDR (6·2 (sd 3·2) v. 7·8 (sd 2·4) mg/kg per min, P ≤ 0·05) compared with women with low dietary lignan intake (n 28). Dietary fibre intake (total, soluble and insoluble) was significantly higher in women in the high dietary lignan intake subgroup. However, energy intake, energy macronutrient distribution, n-3 fatty acid intake and physical activity were similar in these two subgroups (data not shown).

Table 1 Physical and metabolic characteristics of the study sample of 115 women

(Mean values and standard deviations)

*Medians and interquartile ranges.

Seventeen women (59 %) who were in the high dietary lignan intake subgroup were also in the highest ENL quartile. A concordance between lignan consumption and plasma ENL concentrations (when comparing quartiles 1, 2, 3 v. 4) resulted in a κ value of 0·45, which represents a moderate agreement(Reference Altman23). A significant positive correlation was observed between lignan intakes and plasma ENL concentrations (r = 0·30, P  =  0·001).

Women in the highest ENL quartile had significantly higher dietary lignan intake compared with women in quartiles 3, 2 and 1 (28 094 (sd 31 241) v. 4484 (sd 10 696), 4292 (sd 11 176) and 1240 (sd 1593) μg/d, P < 0·01). This was reflected by a significantly higher dietary flaxseed intake in women in the highest ENL quartile compared with women in quartiles 3, 2 and 1 (7·1 (sd 8·0) v. 0·8 (sd 2·7), 0·8 (sd 2·6) and 0·0 (sd 0·1) g/d, P < 0·0001). Figure 1 shows a significantly lower BMI and a trend for a lower waist circumference (P < 0·07) in women in the highest ENL quartile when compared with women in quartile 1. A trend for a lower total (P < 0·10) and visceral (P < 0·10) adipose tissue areas in women in the highest ENL quartile compared with women in the lowest ENL quartile was also observed (Fig. 1). No significant difference was observed for subcutaneous adipose tissue area. Women in the highest ENL quartile had a lower 2 h postload glycaemia, a lower fasting insulinaemia and a significantly higher GDR when compared with women in the lowest ENL quartile (Fig. 1). No significant difference was observed for fasting glycaemia, energy intake, n-3 intake and physical activity. Women in the highest ENL quartile had a significantly higher daily number of whole-grain product portions compared with women in quartiles 1–3 (data not shown).

Fig. 1 Adiposity and glucose homeostasis measurements in women according to ENL quartiles. (a) Body fat mass, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (b) total body fat mass, n 27 (q1), n 28 (q2), n 27 (q3), n 29 (q4); (c) visceral adipose tissue area, n 28 (q1), n 28 (q2), n 28 (q3), n 26 (q4); (d) fasting glycaemia, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (e) fasting insulinaemia, n 25 (q1) n 29 (q2), n 29 (q3), n 28 (q4); (f) waist circumference, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (g) total abdominal adipose tissue area, n 27(q1), n 28 (q2), n 27 (q3), n 29 (q4); (h) subcutaneous adipose tissue area, n 27 (q1), n 28 (q2), n 27 (q3), n 29 (q4); (i) 2 h postload glycaemia, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (j) glucose disposal rate, n 26 (q1), n 28 (q2), n 29 (q3), n 27 (q4). *P ≤ 0·05, **P ≤ 0·01, †P ≤ 0·10.

The differences in GDR and 2 h postload glycaemia between women in the highest and women in the lowest ENL quartile remained significant after statistical adjustment for either BMI, total body fat mass or waist circumference (data not shown). No difference was observed in years since menopause among women in lignan intake subgroups or ENL quartiles. Also, no difference was observed in alcohol consumption in women across the ENL quartiles. Excluding smokers (n 7) from the analysis did not alter the results.

Discussion

We aimed at comparing the metabolic profile of post-menopausal women consuming various amounts of lignans. A majority of women consuming high amounts of lignans were also in the highest serum ENL subgroup. For a similar energy intake, macronutrient energy distribution and physical activity, women with the highest ENL levels had a better metabolic profile including lower BMI, body fat mass, 2 h postload glycaemia and a higher GDR. The higher insulin sensitivity observed in women in the highest ENL quartile was unaffected by statistical adjustments for BMI, fat mass and waist circumference.

The literature on lignan consumption, obesity and fat distribution is not abundant(Reference Bhathena and Velasquez24). Milder et al. (Reference Milder, Feskens and Arts25) observed that lignan intake was higher in individuals with lower BMI values. In another study, plasma ENL decreased by 6·2 % for each one unit increase in BMI in healthy men and women(Reference Horner, Kristal and Prunty26). Kilkkinen et al. (Reference Kilkkinen, Stumpf and Pietinen8) reinforced this notion by observing that women with a normal BMI had significantly higher plasma ENL concentrations than obese women. These studies are concordant with the present results and suggest that a high lignan intake is associated with lower adiposity. Evidence for an effect of lignans on glucose metabolism is scarce(Reference Bhathena and Velasquez24). Three randomised controlled trials have shown that flaxseed improved glucose and insulin metabolism(Reference Lemay, Dodin and Kadri3, Reference Pan, Sun and Chen9, Reference Cunnane, Ganguli and Menard27). A cross-sectional study reported that fasting insulin tended to decrease with increasing total dietary lignan intake(Reference van der Schouw, Sampson and Willett28), which is concordant with the present results.

Lignans are mainly produced from secoisolariciresinol found in flaxseed. In the present sample, the majority of women in the highest ENL subgroup were flaxseed consumers. n-3 fatty acid and/or soluble fibre found in flaxseed could partially explain the more favourable metabolic profile in women with elevated ENL. However, we found that n-3 fatty acid intake was similar among the ENL quartiles. On the other hand, fibre intake could have contributed to insulin sensitivity and adiposity differences in the present sample. Even if the differences in fibre intake between the highest and the lowest ENL quartiles were not significant, women in the highest quartile consumed an average of 5 g more total fibre daily, which is considerable. Such fibre consumption is reflected by a significantly higher number of whole-grain product portions. Several studies have shown that dietary fibres reduce postprandial glucose levels and improve insulin sensitivity(Reference Galisteo, Duarte and Zarzuelo29Reference Slavin32). Even if our differences remain significant after statistical adjustment for fibre intake, we suggest that this variable may still contribute to the association between the total lignan intake and the metabolic profile in post-menopausal women.

A limitation of the present study is that a single measurement of ENL may have overlooked significant within-day and day-to-day intra-individual variations in the ENL concentrations(Reference Hausner, Johnsen and Hallund33, Reference Stumpf and Adlercreutz34). However, both dietary and plasma lignan-related measures were relatively concordant in their link with the metabolic profile. Another limitation is the use of a quartile approach, which could increase the risk of type 1 error. However, obtaining a rather consistent pattern of differences using various measures reinforces the present findings. Simple non-parametric correlations also generated a pattern that supports the findings obtained in the subgroup analysis.

Several factors may influence mammalian lignan production such as antibiotic use, obesity, smoking and fat intake(Reference Adlercreutz1, Reference Lampe35, Reference Milder, Kuijsten and Arts36) as well as frequency of defecation(Reference Milder, Kuijsten and Arts36). Smoking was not a confounding factor in the present study. Antibiotic use may also affect lignan metabolism for months, with the plasma ENL levels being drastically reduced for periods up to 1 year(Reference Adlercreutz1). Unfortunately, we did not have information on antibiotic use over the previous year. We only excluded antibiotic use at the time of testing. These factors may have contributed to weaken the correlation between dietary lignan intake and plasma ENL. It is expected that the plasma ENL concentration will not be a perfect indicator of dietary lignan intake, but considering the relative concordance between the two measures, especially in their link with metabolic alterations, we suggest that they are relevant in assessing the association of a high lignan intake or high serum ENL with lower adiposity and insulin sensitivity.

Acknowledgements

The present study was supported by the Heart and Stroke Foundation of Canada and the Canadian Institutes of Health Research. A. S. M. is the recipient of a Canada Research Chair in Nutrition, Functional Foods and Cardiovascular Health studentship. A. T. is the recipient of a senior FRSQ scholarship. All authors contributed to the study regarding data collection and analysis (A. S. M. and A. V.), patient recruitment (J. B. and S. J. W.), study design (S. L. and A. T.), study supervision (S. L., J. S. W. and J. B.), manuscript preparation (A. S. M., S. L. and A. T.) and scientific revision (A. S. M., A. V., J. B., S. J. W., S. L. and A. T.). None of the authors had any conflict of interest.

References

1Adlercreutz, H (2007) Lignans and human health. Crit Rev Clin Lab Sci 44, 483525.CrossRefGoogle ScholarPubMed
2Webb, AL & McCullough, ML (2005) Dietary lignans: potential role in cancer prevention. Nutr Cancer 51, 117131.CrossRefGoogle ScholarPubMed
3Lemay, A, Dodin, S, Kadri, N, et al. (2002) Flaxseed dietary supplement versus hormone replacement therapy in hypercholesterolemic menopausal women. Obstet Gynecol 100, 495504.Google ScholarPubMed
4Dodin, S, Cunnane, SC, Masse, B, et al. (2008) Flaxseed on cardiovascular disease markers in healthy menopausal women: a randomized, double-blind, placebo-controlled trial. Nutrition 24, 2330.CrossRefGoogle ScholarPubMed
5Thompson, LU, Boucher, BA, Liu, Z, et al. (2006) Phytoestrogen content of foods consumed in Canada, including isoflavones, lignans, and coumestan. Nutr Cancer 54, 184201.CrossRefGoogle ScholarPubMed
6Wang, LQ (2002) Mammalian phytoestrogens: enterodiol and enterolactone. J Chromatogr B Anal Technol Biomed Life Sci 777, 289309.CrossRefGoogle ScholarPubMed
7de Kleijn, MJ, van der Schouw, YT, Wilson, PW, et al. (2002) Dietary intake of phytoestrogens is associated with a favorable metabolic cardiovascular risk profile in postmenopausal US women: The Framingham Study. J Nutr 132, 276282.CrossRefGoogle ScholarPubMed
8Kilkkinen, A, Stumpf, K, Pietinen, P, et al. (2001) Determinants of serum enterolactone concentration. Am J Clin Nutr 73, 10941100.CrossRefGoogle ScholarPubMed
9Pan, A, Sun, J, Chen, Y, et al. (2007) Effects of a flaxseed-derived lignan supplement in type 2 diabetic patients: a randomized, double-blind, cross-over trial. PLoS ONE 2, e1148.CrossRefGoogle ScholarPubMed
10Zhang, W, Wang, X, Liu, Y, et al. (2007) Dietary flaxseed lignan extract lowers plasma cholesterol and glucose concentrations in hypercholesterolaemic subjects. Br J Nutr 19.Google ScholarPubMed
11Behnke, AR & Wilmore, JH (1974) Evaluation and Regulation of Body Build and Composition, pp. 2037. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
12Siri, WE (1956) The gross composition of the body. Adv Biol Med Phys 4, 239280.CrossRefGoogle ScholarPubMed
13Major, GC, Piche, ME, Bergeron, J, et al. (2005) Energy expenditure from physical activity and the metabolic risk profile at menopause. Med Sci Sports Exerc 37, 204212.CrossRefGoogle ScholarPubMed
14Piche, ME, Lapointe, A, Weisnagel, SJ, et al. (2008) Regional body fat distribution and metabolic profile in postmenopausal women. Metabolism 57, 11011107.CrossRefGoogle ScholarPubMed
15Richterich, R & Dauwalder, H (1971) Determination of plasma glucose by hexokinase-glucose-6-phosphate dehydrogenase method. Schweiz Med Wochenschr 101, 615618.Google ScholarPubMed
16DeFronzo, RA, Tobin, JD & Andres, R (1979) Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol 237, E214E223.Google ScholarPubMed
17Desbuquois, B & Aurbach, GD (1971) Use of polyethylene glycol to separate free and antibody-bound peptide hormones in radioimmunoassays. J Clin Endocrinol Metab 37, 732738.CrossRefGoogle Scholar
18Havel, RJ, Eder, H & Bragdon, HF (1955) The distribution and chemical composition of ultracentrifugally separated lipoproteins in human serum. J Clin Invest 34, 13451353.CrossRefGoogle ScholarPubMed
19Burstein, M & Samaille, J (1960) Sur un dosage rapide du cholestérol lié aux β-lipoprotéines du sérum. Clin Chim Acta 34, 13451353.Google Scholar
20Adlercreutz, H, Wang, GJ, Lapcik, O, et al. (1998) Time-resolved fluoroimmunoassay for plasma enterolactone. Anal Biochem 265, 208215.CrossRefGoogle ScholarPubMed
21Stumpf, K, Uehara, M, Nurmi, T, et al. (2000) Changes in the time-resolved fluoroimmunoassay of plasma enterolactone. Anal Biochem 284, 153157.CrossRefGoogle ScholarPubMed
22Bouchard, C, Tremblay, A, Leblanc, C, et al. (1983) A method to assess energy expenditure in children and adults. Am J Clin Nutr 37, 461467.CrossRefGoogle ScholarPubMed
23Altman, DG (1991) Practical Statistics for Medical Research. Boca Raton, FL: Chapman & Hall/CRC.Google Scholar
24Bhathena, SJ & Velasquez, MT (2002) Beneficial role of dietary phytoestrogens in obesity and diabetes. Am J Clin Nutr 76, 11911201.CrossRefGoogle ScholarPubMed
25Milder, IE, Feskens, EJ, Arts, IC, et al. (2005) Intake of the plant lignans secoisolariciresinol, matairesinol, lariciresinol, and pinoresinol in Dutch men and women. J Nutr 135, 12021207.CrossRefGoogle ScholarPubMed
26Horner, NK, Kristal, AR, Prunty, J, et al. (2002) Dietary determinants of plasma enterolactone. Cancer Epidemiol Biomarkers Prev 11, 121126.Google ScholarPubMed
27Cunnane, SC, Ganguli, S, Menard, C, et al. (1993) High alpha-linolenic acid flaxseed (Linum usitatissimum): some nutritional properties in humans. Br J Nutr 69, 443453.CrossRefGoogle ScholarPubMed
28van der Schouw, YT, Sampson, L, Willett, WC, et al. (2005) The usual intake of lignans but not that of isoflavones may be related to cardiovascular risk factors in US men. J Nutr 135, 260266.CrossRefGoogle Scholar
29Galisteo, M, Duarte, J & Zarzuelo, A (2008) Effects of dietary fibers on disturbances clustered in the metabolic syndrome. J Nutr Biochem 19, 7184.CrossRefGoogle ScholarPubMed
30Hanai, H, Ikuma, M, Sato, Y, et al. (1997) Long-term effects of water-soluble corn bran hemicellulose on glucose tolerance in obese and non-obese patients: improved insulin sensitivity and glucose metabolism in obese subjects. Biosci Biotechnol Biochem 61, 13581361.CrossRefGoogle ScholarPubMed
31McKeown, NM (2004) Whole grain intake and insulin sensitivity: evidence from observational studies. Nutr Rev 62, 286291.Google ScholarPubMed
32Slavin, JL (2005) Dietary fiber and body weight. Nutrition 21, 411418.CrossRefGoogle ScholarPubMed
33Hausner, H, Johnsen, NF, Hallund, J, et al. (2004) A single measurement is inadequate to estimate enterolactone levels in Danish postmenopausal women due to large intraindividual variation. J Nutr 134, 11971200.CrossRefGoogle ScholarPubMed
34Stumpf, K & Adlercreutz, H (2003) Short-term variations in enterolactone in serum, 24-hour urine, and spot urine and relationship with enterolactone concentrations. Clin Chem 49, 178181.CrossRefGoogle ScholarPubMed
35Lampe, JW (2003) Isoflavonoid and lignan phytoestrogens as dietary biomarkers. J Nutr 133, Suppl. 3, 956S964S.CrossRefGoogle ScholarPubMed
36Milder, IE, Kuijsten, A, Arts, IC, et al. (2007) Relation between plasma enterodiol and enterolactone and dietary intake of lignans in a Dutch endoscopy-based population. J Nutr 137, 12661271.CrossRefGoogle Scholar
Figure 0

Table 1 Physical and metabolic characteristics of the study sample of 115 women(Mean values and standard deviations)

Figure 1

Fig. 1 Adiposity and glucose homeostasis measurements in women according to ENL quartiles. (a) Body fat mass, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (b) total body fat mass, n 27 (q1), n 28 (q2), n 27 (q3), n 29 (q4); (c) visceral adipose tissue area, n 28 (q1), n 28 (q2), n 28 (q3), n 26 (q4); (d) fasting glycaemia, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (e) fasting insulinaemia, n 25 (q1) n 29 (q2), n 29 (q3), n 28 (q4); (f) waist circumference, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (g) total abdominal adipose tissue area, n 27(q1), n 28 (q2), n 27 (q3), n 29 (q4); (h) subcutaneous adipose tissue area, n 27 (q1), n 28 (q2), n 27 (q3), n 29 (q4); (i) 2 h postload glycaemia, n 28 (q1), n 29 (q2), n 29 (q3), n 29 (q4); (j) glucose disposal rate, n 26 (q1), n 28 (q2), n 29 (q3), n 27 (q4). *P ≤ 0·05, **P ≤ 0·01, †P ≤ 0·10.