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Article

Impact of Dietary Isoflavone Supplementation on the Fecal Microbiota and Its Metabolites in Postmenopausal Women

by
Lucía Guadamuro
1,
M. Andrea Azcárate-Peril
2,
Rafael Tojo
3,
Baltasar Mayo
1,4 and
Susana Delgado
1,4,*
1
Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Departament of Microbiology and Biochemistry of Dairy Products, Paseo Río Linares s/n, 33300 Villaviciosa, Spain
2
Division of Gastroenterology and Hepatology, and Microbiome Core, School of Medicine, Department of Medicine, University of North Carolina (UNC), Chapel Hill, NC 2759, USA
3
Gastroenterology Department, Cabueñes University Hospital, 33203 Gijón, Spain
4
Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Avenida de Roma s/n, 33011 Oviedo, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(15), 7939; https://doi.org/10.3390/ijerph18157939
Submission received: 20 June 2021 / Revised: 20 July 2021 / Accepted: 22 July 2021 / Published: 27 July 2021
(This article belongs to the Special Issue New Perspectives in Health: Gut Microbiota)
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Versions Notes

Abstract

:
Isoflavones are metabolized by components of the gut microbiota and can also modulate their composition and/or activity. This study aimed to analyze the modifications of the fecal microbial populations and their metabolites in menopausal women under dietary treatment with soy isoflavones for one month. Based on the level of urinary equol, the women had been stratified previously as equol-producers (n = 3) or as equol non-producers (n = 5). The composition of the fecal microbiota was assessed by high-throughput sequencing of 16S rRNA gene amplicons and the changes in fatty acid excretion in feces were analyzed by gas chromatography. A greater proportion of sequence reads of the genus Slackia was detected after isoflavone supplementation. Sequences of members of the family Lachnospiraceae and the genus Pseudoflavonifractor were significantly increased in samples from equol-producing women. Multivariable analysis showed that, after isoflavone treatment, the fecal microbial communities of equol producers were more like each other. Isoflavone supplementation increased the production of caproic acid, suggesting differential microbial activity, leading to a high fecal excretion of this compound. However, differences between equol producers and non-producers were not scored. These results may contribute to characterizing the modulating effect of isoflavones on the gut microbiota, which could lead to unravelling of their beneficial health effects.

1. Introduction

The existence of an inter-individual variability in response to diet and lifestyle interventions is widely accepted [1]. A complex interaction between diet, human genome, and the gut microbiome occurs and can determine the effects of dietary bioactives [2]. The gut microbiota is a critical component that can alter the absorption and metabolism of foods, and thus the final effects on human health. However, although a growing body of studies exists, the mechanisms underlying these processes are complex and not entirely understood. In this context, isoflavones-plant-derived polyphenols found at a relatively high concentration in soy and soy-derived products have been related to diverse health benefits such as the prevention of chronic diseases, including hormone dependent cancer, cardiovascular diseases, osteoporosis, and postmenopausal syndrome [3]. Although there is scientific evidence of the beneficial effects in counteracting symptoms like hot flushes and vasomotor reactions in menopausal women [4], the European Food Safety Authority (EFSA) has refuted health claims about the role of isoflavones in body functions [5]. The clinical effectiveness of ingested isoflavones might be due to their ability to be converted into active metabolites like equol [6,7]. This metabolite is the isoflavone-derived compound with the strongest estrogenic activity and antioxidant capacity, and is generated by specific members of the gut microbiota. Only some individuals harbor the microbiota required for the conversion into equol, resulting in different metabotypes: equol producers and non-producers [8]. Remarkably, compared with that in Asian populations (50–60%), the equol producer metabotype has a prevalence of 25–30% in Western populations [7].
Although the full range of intestinal bacteria involved in equol formation remains unknown [8,9], most of the equol-producing bacteria characterized so far are members of the family Coriobacteriaceae [10]. Additionally, the microorganisms responsible for equol production might differ across individuals [11,12,13].
Like other polyphenols, isoflavones are metabolized by components of the microbiota, and at the same time, they could also modulate the composition and/or activity of the intestinal microbial populations [14]. Analysis of intestinal microbiota modifications after isoflavone consumption could give clues as to the microorganisms involved in its metabolism. Some studies analyzed the effects of the isoflavone intake on the gut microbiota [15,16,17,18,19]. However, additional studies applying high-throughput approaches are still needed to determine low abundance microorganisms, like those probably involved in equol production.
This study aimed to determine changes in the intestinal microbiota induced by a 1-month period of isoflavone consumption and to explore changes related to the equol status metabotype. With this aim, high-throughput amplicon sequencing of the bacterial 16S rRNA gene was performed on fecal samples taken before and after isoflavone consumption by eight menopausal women (three equol producers and five equol non-producers). In addition, metabolite analysis of feces was performed using gas chromatography for determination of possible shifts in fatty acid excretion.

2. Materials and Methods

2.1. Human Volunteers

Ethical approval for this study was obtained from the Bioethics Subcommittee of the Spanish Research Council (Consejo Superior de Investigaciones Científicas or CSIC) and the Regional Ethics Committee for Clinical Research of the Health Service of Asturias (Servicio de Salud del Principado de Asturias) (approval number: 15/2011), in compliance with the Declaration of Helsinki. Fecal samples were provided, with written consent, by eight postmenopausal women recruited during a preceding study [18] at the Gynecology and Obstetrics Unit (in collaboration with the Gastroenterology Department) of Cabueñes Hospital (Gijón, Spain). The participants did not suffer from any infectious diseases or intestinal disorder. Additionally, they had not received antibiotics or any other medication for at least 6 months prior to the collection of samples. The women had been identified with an equol-producing metabotype (or not), based on the levels of urinary equol excretion [20]. For the present work, we selected three of the women (WC, WG, and WP) with an equol-producing phenotype (urine equol > 1000 nM as defined by Rowland et al. [21]) and five women (WE, WH, WF, WL, and WN) with a non-producing phenotype (excreted equol in urine ranging from 0 to 377 nM). Participants reported consuming a normo-type, Mediterranean diet and did not start following a vegetarian, vegan, or special diet during the intervention period. Supplementation consisted of a daily oral intake (80 mg/day) in the morning of a commercial dietary supplement (Fisiogen; Zambon, Bresso, Italy) rich in soy isoflavones (55–72% genistin/genistein, 28–45% other isoflavones) for one month.

2.2. Sample Collection

The study was conducted during the fall–winter seasons of 2011–2012. The volunteers provided samples of feces before treatment (basal, T0) and after one month (T1) of isoflavone supplementation. Fresh stools were collected in sterile plastic containers and kept under anaerobic conditions in jars containing Anaerocult A (Merck, Darmstadt, Germany) for transporting to the laboratory within 2 h. Fecal samples were kept frozen at −80 °C until use.

2.3. Total Bacterial DNA Extraction

Fecal samples (0.2 g) were suspended in 1.8 mL of phosphate buffered saline (PBS) (pH 7.4). These suspensions were homogenized and centrifuged at 800 rpm for 5 min at 4 °C to eliminate insoluble material, and the supernatants were transferred to new tubes. These were then centrifuged again at 14,000 rpm for 5 min at 4 °C. Pelleted cells were suspended in 1 mL of PBS and lysed in an enzyme solution containing 20 mM TRIS-HCl pH 8.0, 2 mM EDTA, 1.20% Triton X-100, 20 mg/mL lysozyme (Merck), and 20 U mutanolysin (Sigma-Aldrich, Saint Louis, MO, USA). Total bacterial DNA was extracted following the protocol described by Zoetendal [22], and purified using the QIAamp DNA Stool Minikit (Qiagen, Hilden, Germany). Finally, the DNA was eluted in 100 µL of sterile molecular grade water (Sigma-Aldrich), and its concentration and quality were determined using an Epoch microvolume spectrophotometer (BioTek Instruments, Winooski, VT, USA).

2.4. Library Construction and Pyrosequencing

A segment of the 16S rRNA genes from the purified bacterial DNA were PCR-amplified using the universal primers Y1 (5′-TGGCTCAGGACGAACGCTGGCGGC-3′) (position 20–43 on the 16S rRNA gene of Escherichia coli) and Y2 (5′-CCTACTGCTGCCTCCCGTAGGAGT-3′) (positions 361–338). These primers amplify a 348 bp stretch of the prokaryotic rDNA embracing the V1 and V2 hypervariable regions. Further, 454-adaptors were included in both the forward (5′-CGTATCGCCTCCCTCGCGCCATCAG-3′) and reverse (5′-CTATGCGCCTTGCCAGCCCGCTCAG-3′) primers, followed by a 10 bp sample-specific barcode. Amplifications were performed using the NEBNext High-Fidelity 2x PCR Master Mix Kit (New England Biolabs., Ipswich, MA, USA) as follows: 95 °C for 5 min, 25 cycles of 94 °C for 30 s, 60 °C for 45 s, 72 °C for 30 s, and a final extension step at 72 °C for 5 min. The amplicons produced were purified using the GenElute PCR Clean-Up Kit (Sigma-Aldrich), and their concentration was measured in a Qubit fluorometer with dsDNA assay kits (Thermo Fisher Scientific Inc., Waltham, MA, USA).
An amplicon library was prepared for pyrosequencing by mixing equal amounts of amplicons from the different samples. Pooled amplicons were then sequenced using a 1/8 picotitre plate in a 454 Titanium Genome Sequencer (Roche, Indianapolis, IN, USA) in the UNC Microbiome Core (University of North Carolina, USA).

2.5. Sequence and Data Analysis

Raw sequences were denoised and filtered out of the original dataset. Filtering and trimming were performed using the Galaxy Web Server [23], employing the sliding window method. Only reads longer than 150 bp were used in further analysis. Chimeras were eliminated using the USEARCH v.6.0.307 clustering algorithm routine in de novo mode [24]. After demultiplexing, high quality rDNA sequences were classified taxonomically using the Ribosomal Database Project (RDP) Bayesian Classifier [25] with an 80% confidence threshold to obtain the taxonomic assignment and relative abundance of the different bacterial groups. “Genus” was the lowest taxonomic level contemplated. Sequences with at least 97% similarity were clustered into operational taxonomic units using the CD-Hit clustering method [26] and employed in the generation of rarefaction curves using a RarefactWin freeware (produced by S. Holland; http://strata.uga.edu/software/index.html). Different diversity indexes (Sobs, Chao, ACE, Jackknife, Shannon, Simpson) were calculated for each sample and compared between groups of women [27]. As diversity index values increase with sample size, normalization of sequencing effort in all samples was necessary to avoid biases in the results [28]. Thus, diversity indexes were normalized using the median number of sequences obtained in all samples as a scaling factor [29]. Weighted UniFrac analysis [30] was performed to assess the similarity of the microbial communities between samples and principal coordinates analysis (PCoA) was applied to the distance matrix for visualization.

2.6. Fatty Acids (FAs) Determination

One hundred microliters of a 1:10 dilution of feces (w/v) in PBS was supplemented with 100 μL of 2-ethyl butyric acid (Sigma-Aldrich, St. Louis, MO, USA) as an internal standard (1 mg/mL in methanol) and acidified with 100 μL of 20% formic acid (v/v). The acidic solution was then extracted with 1 mL of methanol and centrifuged for 10 min at 15,700× g. Supernatants were kept at −20 °C until analysis in a 6890 N gas chromatography (GC) apparatus (Agilent Technologies, Santa Clara, CA, USA) connected to a flame ionization detector (FID). All samples were analyzed in duplicate and FAs were quantified as previously described [31].

2.7. Statistical Analysis

Statistical analysis of data was performed using IBM SPSS 23 statistic software. The Mann–Whitney test for independent samples was performed to examine differences between equol producers and non-producers in terms of microbial groups, diversity indexes, and fecal FAs. The Wilcoxon signed-rank test for related samples was used to examine differences between before and after isoflavone supplementation. Alternatively, Student’s t-test was used when normal distribution was confirmed using Saphiro-Wilk test. Two-tailed probability values of p < 0.05 were considered significant.

3. Results

3.1. Change in Fecal Microbiota Over Isoflavone Supplementation

After denoising, performing chimera checks, and trimming the reads by length (150–400 bp), a mean of 4756 (±875) high quality sequences was obtained. Taxonomic analysis grouped the sequences mainly into five phyla: Firmicutes, Actinobacteria, Bacteroidetes, Proteobacteria, and Verrucomicrobia. Fifty-two genera were identified, as well as five groups of clostridia (Clostridium cluster IV, cluster XI, cluster XIVa, cluster XVIII, and Clostridium sensu stricto) and two taxa with family-associated incertae sedis (inc. sed.) members (Erysipelotrichaceae inc. sed. and Lachnospiraceae inc. sed.). Taxonomic groups presenting at an abundance of <0.1% were designated as “others”. A mean of 1813 sequences per sample remained unclassified.
Considerable differences were observed between the bacterial communities at T0 (before isoflavone supplementation) and T1 (one month after supplementation). Differences were noted at the family and genus levels (Figure 1). At the genus level, a significant (p < 0.05) increase in the relative abundance of the genus Slackia was observed at T1 (0.67%) versus T0 (0.27%). Although sequences of this genus were not detected in all women, when they were detected (WC, WG, WE, WL, and WN), their relative proportion increased after supplementation with soy isoflavones.
The supplementation with isoflavones significantly reduced alpha diversity in terms of Sobs and Shannon Indexes (Figure 2). The Sobs index reflects the number of observed species or “richness”, while Shannon index weights the numbers of species by their relative evenness.

3.2. Differences in Microbial Groups Associated with the Equol Producer Status

UniFrac β-diversity analysis was done to assess the extent of similarity between microbial communities. UniFrac-based PCoA plots revealed a clear clustering between equol producing and non-producing women after isoflavone supplementation, while no clustering was observed at baseline (Figure 3).
Furthermore, comparison of fecal microbial composition between equol producers and non-producers revealed some differences. At T0, relative abundance (% sequences) of Lachnospiraceae inc. sed. taxa was significantly higher (p = 0.025) in the equol-producer group versus the non-producers (Table 1). While at T1, after one month of isoflavone consumption, the relative abundance of sequences belonging to the genera Pseudoflavonifractor and Dorea was greater in the equol-producing women.

3.3. Differences in Fatty Acids (FAs) Associated with the Equol Producer Status

Fecal FAs remained stable after 1 month of isoflavone supplementation, except for caproic acid, which increased significantly after the intervention (Table 2). Regarding differences associated with the equol producing status, all FAs analysed showed higher concentrations in the equol non-producing women, but only isovaleric acid reached statistical significance (Table 3).

4. Discussion

Diet modulates the composition of the intestinal microbiota [32] and, in turn, gut microbiota metabolism can determine the final metabolites produced, and thus the corresponding effects on human health. Most studies, however, have focused on the effect of fat and fiber [33,34], while dietary microcomponents, like polyphenols, have received less attention [35]. Certainly, little is known about the influence of isoflavones on the microbial populations of the gut [15,16,17,18,19].
The use of high throughput sequencing techniques allows for the determination of gut members whose culture requirements are still unknown or are uncultivable—having estimated that they are 80% of the bacterial species found by molecular tools [36]. As previously suggested, different bacteria may contribute towards equol production [9,37], but these might be present in the gut in low abundance, making their detection difficult by other techniques. In this study, with the aim of identifying changes in gut microbiota composition associated with the ingestion of isoflavones, and related to the equol-producing metabotype, we selected and made use of fecal samples from eight menopausal women receiving daily isoflavone supplementation over one month. Among these women, we selected three equol-producers and five non-producers for comparative purposes.
In the present work, the abundance of the genera Slackia significantly increased after the isoflavone supplementation. This genus, belonging to the family Coriobacteriaceae, includes described equol-producing species and strains [38,39,40] and has been associated in vivo with isoflavone metabolism [17]. Additionally, bacteria belonging to the family Lachnospiraceae (Dorea and inc. sed.) increased in the postmenopausal women with an equol-producing metabotype. Lachnospiraceae inc. sed. has previously been reported to increase significantly with isoflavone treatment in a case report of an equol-producing woman [19], while Dorea has been associated with isoflavone metabolism in humans in several studies [17,41]. Enrichment of some of these bacteria belonging to the Lachnospiraceae family, as well as Pseudoflavonifractor, has also been seen in in vitro fecal cultures with isoflavones [42]. The family Lachnospiraceae has a very large presence in the human gut and has been linked to the production of butyric acid [43], a compound with beneficial effects on the gastrointestinal epithelium [44].
Supplementation with isoflavones for one month was shown to cause a decrease in the number of species (Sobs index) as well as in the species evenness (Shannon index). These effects have previously been observed with the use of other culture-independent techniques [18]. It has been suggested that isoflavones could provide a chemical environment that selects a subset of the initial bacterial communities [17,45]. Alternatively, isoflavones might have antimicrobial effects on certain intestinal bacterial populations, as has recently been reported on pure cultures of intestinal species [46]. When considering the two different metabotypes studied, no effect in the alpha diversity indexes was observed (data not shown). However, UniFrac analysis indicated a greater similarity of the microbial communities from equol-producing women after one month of isoflavone supplementation, suggesting that isoflavones enriches the gut with microbial species involved in the degradation of isoflavones and equol production.
The production of FAs (relevant gut bacterial metabolites) was carried out to determine their relationship with the consumption of isoflavones and the production of equol. Butyric, acetic, and propionic acids are the main short-chain fatty acids (SCFAs). They are produced in the proximal colon by bacterial fermentation of non-digestible carbohydrates [47] and exert anti-inflammatory and anticarcinogenic activities [48]. In contrast, medium-chain fatty acids (MCFAs), including caproic acid (CA), by favoring TH1 and TH17 differentiation [49], could antagonize the anti-inflammatory activities of SCFAs. Branched-chain fatty acids, such as isobutyric and isovaleric acids, are often associated with protein breakdown and have been less studied.
The current data reveal an increase in CA production after isoflavone supplementation, which indicates differential microbial activity leading to the production of this compound. CA derives from chain elongation reactions in which SCFAs are converted to MCFAs mainly using ethanol or lactate as an electron donor [50]. The elongation process is mediated by microorganisms through the reverse β-oxidation pathway. Whether Slackia, the bacterial species found to be increased after the consumption of isoflavones in this study, produces CA is not currently known. Alternatively, isoflavone consumption could stimulate the production of CA by other intestinal microorganisms. These possibilities, however, would require further study. Although studies are still controversial, CA has been related to inflammation-regulating effects. In some studies, diminishing of the production of inflammatory cytokines by CA has been reported [51], while inflammatory effects have been reported in others [49,52].
The concentration of isovaleric acid was higher in samples from the equol non-producing group (n = 5). This result partially agrees with the effect of isoflavones observed previously in fecal anaerobic batch cultures [42], where isovaleric acid was reported to increase in cultures inoculated with feces from equol producers (n = 3). This suggests that, regardless of the equol producing status, consumption of isoflavones might stimulate the production of this FA.
In this work, although limited to the small sample size, the description of specific gut microbial and FA changes with the ingestion of isoflavones is provided, contributing to the understanding of the modulation of the gut microorganisms and their activity by these polyphenols. However, more studies with greater numbers of people, and even different populations, are needed to confirm the effects of isoflavone intake on the gut ecosystem.

5. Conclusions

This study allowed the changes in fecal microbial communities caused by isoflavone supplementation for one month to be monitored in a group of menopausal women. Isoflavone consumption was associated with a significant increase in the relative abundance of the genus Slackia, to which strains that metabolise isoflavones and produce equol are the most studied in this respect. Moreover, the taxa Pseudoflavonifractor, Dorea, and Lachnospiraceae incertae sedis were found in greater proportions in equol-producing women. Fecal microbial communities of equol producers were more similar to each other after isoflavone treatment, a fact that was not observed among those of equol non-producers. However, distinctive differences in the excretion of fatty acids associated with the equol status (which might be related to inflammation) were not observed.

Author Contributions

S.D. and B.M. contributed with the conception and design of the study. L.G. performed bacterial DNA extraction, sequence data analysis, and statistics. S.D. performed library construction. R.T. carried out the recruitment and diagnoses of the women. M.A.A.-P. contributed with the high-throughput sequencing and analysis of the samples. S.D. and B.M. planned the experimental design of the study and contributed to the interpretation of the data. L.G. drafted the manuscript. B.M. and S.D. performed a critical revision of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded by the Spanish Ministry of Economy and Competitiveness (MINECO) (AGL-2014-57820-R) and Asturias Principality (GRUPIN14-137). The Microbiome Core Facility is supported in part by the NIH/National Institute of Diabetes and Digestive and Kidney Diseases grant P30 DK34987. L.G. was supported by a research contract of the FPI Program from MINECO (BES-2012-062502). S.D. was supported by a research contract from MINECO (RYC-2016-19726).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Bioethics Subcommittee of the Spanish Research Council (Consejo Superior de Investigaciones Científicas or CSIC) and the Regional Ethics Committee for Clinical Research of the Health Service of Asturias (Servicio de Salud del Principado de Asturias) (approval number: 15/2011).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The raw data generated in this study can be found in the Sequence Read Archive (SRA) of the NCBI database. under accession numbers: SRR9855012-25, SRR6656999, and SRR6657000.

Acknowledgments

We would like to thank Ana Hernández and Jorge Rodríguez from IPLA-CSIC for their technical assistance in the chromatographic analysis of fecal acids.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Bashiardes, S.; Godneva, A.; Elinav, E.; Segal, E. Towards utilization of the human genome and microbiome for personalized nutrition. Curr. Opin. Biotechnol. 2018, 51, 57–63. [Google Scholar] [CrossRef] [PubMed]
  2. Sonnenburg, J.L.; Bäckhed, F. Diet–microbiota interactions as moderators of human metabolism. Nature 2016, 535, 56–64. [Google Scholar] [CrossRef] [PubMed]
  3. Zaheer, K.; Humayoun Akhtar, M. An updated review of dietary isoflavones: Nutrition, processing, bioavailability and impacts on human health. Crit. Rev. Food Sci. Nutr. 2017, 57, 1280–1293. [Google Scholar] [CrossRef] [PubMed]
  4. Bolaños, R.; Del Castillo, A.; Francia, J. Soy isoflavones versus placebo in the treatment of climacteric vasomotor symptoms: Systematic review and meta-analysis. Menopause 2010, 17, 660–666. [Google Scholar] [CrossRef]
  5. EFSA (European Food Science Authority). Scientific Opinion on the Substantiation of Health Claims Related to Soy Isoflavones and Maintenance of bone Mineral Density (ID 1655) and Reduction of Vasomotor Symptoms Associated with Menopause (ID 1654, 1704, 2140, 3093, 3154, 3590) (Further Assessment) Pursuant to Article 13(1) of Regulation (EC) No 1924/2006. EFSA J. 2012. [Google Scholar] [CrossRef] [Green Version]
  6. Atkinson, C.; Frankenfeld, C.L.; Lampe, J.W. Gut bacterial metabolism of the soy isoflavone daidzein: Exploring the relevance to human health. Exp. Biol. Med. 2005, 230, 155–170. [Google Scholar] [CrossRef]
  7. Setchell, K.D.; Clerici, C. Equol: History, chemistry, and formation. J. Nutr. 2010, 140, 1355S–1362S. [Google Scholar] [CrossRef] [Green Version]
  8. Tomás-Barberán, F.A.; González-Sarrías, A.; García-Villalba, R.; Núñez-Sánchez, M.A.; Selma, M.V.; García-Conesa, M.T.; Espín, J.C. Urolithins, the rescue of “old” metabolites to understand a “new” concept: Metabotypes as a nexus among phenolic metabolism, microbiota dysbiosis, and host health status. Mol. Nutr. Food Res. 2017, 61, 1500901. [Google Scholar] [CrossRef]
  9. Kemperman, R.A.; Bolca, S.; Roger, L.C.; Vaughan, E.E. Novel approaches for analysing gut microbes and dietary polyphenols: Challenges and opportunities. Microbiology 2010, 156, 3224–3231. [Google Scholar] [CrossRef] [Green Version]
  10. Clavel, T.; Lepage, P.; Charrier, C. The Family Coriobacteriaceae. In The Prokaryotes; Rosenberg, E., DeLong, E.F., Lory, S., Stackebrandt, E., Thompson, F., Eds.; Springer: Berlin/Heidelberg, Germany, 2014; pp. 201–238. [Google Scholar]
  11. Kelly, G.E.; Joannou, G.E.; Reeder, A.Y.; Nelson, C.; Waring, M.A. The variable metabolic response to dietary isoflavones in humans. Proc. Soc. Exp. Biol. Med. 1995, 208, 40–43. [Google Scholar] [CrossRef]
  12. Lampe, J.W.; Karr, S.C.; Hutchins, A.M.; Slavin, J.L. Urinary equol excretion with a soy challenge: Influence of habitual diet. Proc. Soc. Exp. Biol. Med. 1998, 217, 335–339. [Google Scholar] [CrossRef]
  13. Arai, Y.; Uehara, M.; Sato, Y.; Kimira, M.; Eboshida, A.; Adlercreutz, H.; Watanabe, S. Comparison of isoflavones among dietary intake, plasma concentration and urinary excretion for accurate estimation of phytoestrogen intake. J. Epidemiol. 2000, 10, 127–135. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Dueñas, M.; Muñoz-González, I.; Cueva, C.; Jiménez-Girón, A.; Sánchez-Patán, F.; Santos-Buelga, C.; Moreno-Arribas, M.; Bartolomé, B. A survey of modulation of gut microbiota by dietary polyphenols. BioMed Res. Int. 2015, 2015, 850902. [Google Scholar] [CrossRef] [PubMed]
  15. Clavel, T.; Fallani, M.; Lepage, P.; Levenez, F.; Mathey, J.; Rochet, V.; Sérézat, M.; Sutren, M.; Henderson, G.; Bennetau-Pelissero, C.; et al. Isoflavones and functional foods alter the dominant intestinal microbiota in postmenopausal women. J. Nutr. 2005, 135, 2786–2792. [Google Scholar] [CrossRef] [Green Version]
  16. Bolca, S.; Possemiers, S.; Herregat, A.; Huybrechts, I.; Heyerick, A.; De Vriese, S.; Verbruggen, M.; Depypere, H.; De Keukeleire, D.; Bracke, M.; et al. Microbial and dietary factors are associated with the equol producer phenotype in healthy postmenopausal women. J. Nutr. 2007, 137, 2242–2246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Nakatsu, C.H.; Armstrong, A.; Clavijo, A.P.; Martin, B.R.; Barnes, S.; Weaver, C.M. Fecal bacterial community changes associated with isoflavone metabolites in postmenopausal women after soy bar consumption. PLoS ONE 2014, 9, e108924. [Google Scholar] [CrossRef]
  18. Guadamuro, L.; Delgado, S.; Redruello, B.; Flórez, A.B.; Suárez, A.; Martínez-Camblor, P.; Mayo, B. Equol status and changes in fecal microbiota in menopausal women receiving long-term treatment for menopause symptoms with a soy-isoflavone concentrate. Front. Microbiol. 2015, 6, 777. [Google Scholar] [CrossRef]
  19. Guadamuro, L.; Azcárate-Peril, M.A.; Tojo, R.; Mayo, B.; Delgado, S. Use of high throughput amplicon sequencing and ethidium monoazide dye to track microbiota changes in an equol-producing menopausal woman receiving a long-term isoflavones treatment. AIMS Microbiol. 2019, 5, 102–116. [Google Scholar] [CrossRef]
  20. Redruello, B.; Guadamuro, L.; Cuesta, I.; Álvarez-Buylla, J.R.; Mayo, B.; Delgado, S. A novel UHPLC method for the rapid and simultaneous determination of daidzein, genistein and equol in human urine. J. Chromatogr. B 2015, 1005, 1–8. [Google Scholar] [CrossRef]
  21. Rowland, I.R.; Wiseman, H.; Sanders, T.A.; Adlercreutz, H.; Bowey, E.A. Interindividual variation in metabolism of soy isoflavones and lignans: Influence of habitual diet on equol production by the gut microflora. Nutr. Cancer 2000, 36, 27–32. [Google Scholar] [CrossRef] [PubMed]
  22. Zoetendal, E.G.; Heilig, H.G.; Klaassens, E.S.; Booijink, C.C.; Kleerebezem, M.; Smidt, H.; De Vos, W.M. Isolation of DNA from bacterial samples of the human gastrointestinal tract. Nat. Protoc. 2006, 1, 870–873. [Google Scholar] [CrossRef] [PubMed]
  23. Goecks, J.; Nekrutenko, A.; Taylor, J. Galaxy: A comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol. 2010, 11, R86. [Google Scholar] [CrossRef] [Green Version]
  24. Edgar, R.C.; Haas, B.J.; Clemente, J.C.; Quince, C.; Knight, R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 2011, 27, 2194–2200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Wang, Q.; Garrity, G.M.; Tiedje, J.M.; Cole, J.R. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 2007, 73, 5261–5267. [Google Scholar] [CrossRef] [Green Version]
  26. Li, W.; Godzik, A. Cd-hit: A fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 2006, 22, 1658–1659. [Google Scholar] [CrossRef] [Green Version]
  27. Moreno, C.E.; Halffter, G. On the measure of sampling effort used in species accumulation curves. J. Appl. Ecol. 2001, 38, 487–490. [Google Scholar] [CrossRef]
  28. Lemos, L.N.; Fulthorpe, R.R.; Triplett, E.W.; Roesch, L.F. Rethinking microbial diversity analysis in the high throughput sequencing era. J. Microbiol. Methods 2011, 86, 42–51. [Google Scholar] [CrossRef] [Green Version]
  29. Dillies, M.A.; Rau, A.; Aubert, J.; Hennequet-Antier, C.; Jeanmougin, M.; Servant, N.; Keime, C.; Marot, G.; Castel, D.; Estelle, J.; et al. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Brief Bioinf. 2013, 14, 671–683. [Google Scholar] [CrossRef] [Green Version]
  30. Lozupone, C.A.; Knight, R. Unifrac: A new phylogenetic method for comparing microbial communities. Appl. Envrion. Microbiol. 2005, 71, 8228–8235. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Salazar, N.; Gueimonde, M.; Hernández-Barranco, A.M.; Ruas-Madiedo, P.; de los Reyes-Gavilán, C.G. Exopolysaccharides produced by intestinal Bifidobacterium strains act as fermentable substrates for human intestinal bacteria. Appl. Environ. Microbiol. 2008, 74, 4737–4745. [Google Scholar] [CrossRef] [Green Version]
  32. Graf, D.; Di Cagno, R.; Fåk, F.; Flint, H.J.; Nyman, M.; Saarela, M.; Watzl, B. Contribution of diet to the composition of the human gut microbiota. Microb. Ecol. Health Dis. 2015, 26, 26164. [Google Scholar] [CrossRef]
  33. David, L.A.; Maurice, C.F.; Carmody, R.N.; Gootenberg, D.B.; Button, J.E.; Wolfe, B.E.; Ling, A.V.; Devlin, A.S.; Varma, Y.; Fischbach, M.A.; et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature 2014, 505, 559–563. [Google Scholar] [CrossRef] [Green Version]
  34. Singh, R.K.; Chang, H.W.; Yan, D.; Lee, K.M.; Ucmak, D.; Wong, K.; Abrouk, M.; Farahnik, B.; Nakamura, M.; Zhu, T.H.; et al. Influence of diet on the gut microbiome and implications for human health. J. Transl. Med. 2017, 15, 73. [Google Scholar] [CrossRef] [Green Version]
  35. Van Duynhoven, J.; Vaughan, E.E.; Jacobs, D.M.; Kemperman, R.A.; Van Velzen, E.J.; Gross, G.; Roger, L.C.; Possemiers, S.; Smilde, A.K.; Doré, J.; et al. Metabolic fate of polyphenols in the human superorganism. Proc. Natl. Acad. Sci. USA 2011, 108, 4531–4538. [Google Scholar] [CrossRef] [Green Version]
  36. Turnbaugh, P.J.; Ley, R.E.; Hamady, M.; Fraser-Liggett, C.M.; Knight, R.; Gordon, J.I. The human microbiome project. Nature 2007, 449, 804–810. [Google Scholar] [CrossRef] [PubMed]
  37. Vázquez, L.; Guadamuro, L.; Giganto, F.; Mayo, B.; Flórez, A.B. Development and use of a real-time quantitative PCR method for detecting and quantifying equol-producing bacteria in human faecal samples and slurry cultures. Front. Microbiol. 2017, 8, 1155. [Google Scholar] [CrossRef] [PubMed]
  38. Jin, J.S.; Kitahara, M.; Sakamoto, M.; Hattori, M.; Benno, Y. Slackia equolifaciens sp. nov., a human intestinal bacterium capable of producing equol. Int. J. Syst. Evol. Microbiol. 2010, 60, 1721–1724. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Matthies, A.; Loh, G.; Blaut, M.; Braune, A. Daidzein and genistein areconverted to equol and 5-hydroxy-equol by human intestinal Slackia isoflavoniconvertens in gnotobiotic rats. J. Nutr. 2012, 142, 40–46. [Google Scholar] [CrossRef]
  40. Tsuji, H.; Moriyama, K.; Nomoto, K.; Akaza, H. Identification of an enzyme system for daidzein-to-equol conversion in Slackia sp. strain NATTS. Appl. Environ. Microbiol. 2012, 78, 1228–1236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Decroos, K.; Vanhemmens, S.; Cattoir, S.; Boon, N.; Verstraete, W. Isolation and characterisation of an equol-producing mixed microbial culture from a human faecal sample and its activity under gastrointestinal conditions. Arch. Microbiol. 2005, 183, 45–55. [Google Scholar] [CrossRef]
  42. Guadamuro, L.; Dohrmann, A.B.; Tebbe, C.C.; Mayo, B.; Delgado, S. Bacterial communities and metabolic activity of faecal cultures from equol producer and non-producer menopausal women under treatment with soy isoflavones. BMC Microbiol. 2017, 17, 93. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Meehan, C.J.; Beiko, R.G. A phylogenomic view of ecological specialization in the Lachnospiraceae, a family of digestive tract-associated bacteria. Genome Biol. Evol. 2014, 6, 703–713. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Ríos-Covián, D.; Ruas-Madiedo, P.; Margolles, A.; Gueimonde, M.; de los Reyes-Gavilán, C.G.; Salazar, N. Intestinal short chain fatty acids and their link with diet and human health. Front. Microbiol. 2016, 7, 185. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Clavel, T.; Mapesa, J.O. Phenolics in human nutrition: Importance of the intestinal microbiome for isoflavone and lignan bioavailability. In Natural Products: Phytochemistry, Botany and Metabolism of Alkaloids, Phenolics and Terpenes; Elsevier: Amsterdam, The Netherlands, 2013; pp. 2433–2463. [Google Scholar]
  46. Vázquez, L.; Flórez, A.; Guadamuro, L.; Mayo, B. Effect of soy isoflavones on growth of representative bacterial species from the human gut. Nutrients 2017, 9, 727. [Google Scholar] [CrossRef] [Green Version]
  47. Morrison, D.J.; Preston, T. Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism. Gut Microbes 2016, 7, 189–200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Flint, H.J.; Duncan, S.H.; Scott, K.P.; Louis, P. Links between diet, gut microbiota composition and gut metabolism. Proc. Nutr. Soc. 2015, 74, 13–22. [Google Scholar] [CrossRef] [Green Version]
  49. Schönfeld, P.; Wojtczak, L. Short- and medium-chain fatty acids in energy metabolism: The cellular perspective. J. Lipid Res. 2016, 57, 943–954. [Google Scholar] [CrossRef] [Green Version]
  50. Crognale, S.; Braguglia, C.M.; Gallipoli, A.; Gianico, A.; Rossetti, S.; Montecchio, D. Direct Conversion of Food Waste Extract into Caproate: Metagenomics Assessment of Chain Elongation Process. Microorganisms 2021, 9, 327. [Google Scholar] [CrossRef]
  51. El-Far, M.; Durand, M.; Turcotte, I.; Larouche-Anctil, E.; Sylla, M.; Zaidan, S.; Chartrand-Lefebvre, C.; Bunet, R.; Ramani, H.; Sadouni, M.; et al. Upregulated IL-32 expression and reduced gut short chain fatty acid caproic acid in people living with HIV with subclinical atherosclerosis. Front. Immunol. 2021, 12, 664371. [Google Scholar] [CrossRef]
  52. De Preter, V.; Machiels, K.; Joossens, M.; Arijs, I.; Matthys, C.; Vermeire, S.; Rutgeerts, P.; Verbeke, K. Faecal metabolite profiling identifies medium-chain fatty acids as discriminating compounds in IBD. Gut 2015, 64, 447–458. [Google Scholar] [CrossRef]
Ijerph 18 07939 g001 550
Figure 1. Changes in microbial composition with isoflavone supplementation. Microbial composition at the family (A) and genus (B) levels in fecal samples of eight menopausal women before (T0) and after one month (T1) of isoflavone supplementation presented as relative abundances (%).
Figure 1. Changes in microbial composition with isoflavone supplementation. Microbial composition at the family (A) and genus (B) levels in fecal samples of eight menopausal women before (T0) and after one month (T1) of isoflavone supplementation presented as relative abundances (%).
Ijerph 18 07939 g001
Ijerph 18 07939 g002 550
Figure 2. Comparison of Sobs and Shannon indexes before (T0) and after one month (T1) of isoflavone treatment in eight menopausal women. The lines inside the rectangles indicate the medians and the whiskers indicate the maximum and minimum values. Analysis was done using the nonparametric Wilcoxon signed-rank test to determine differences between T0 and T1.
Figure 2. Comparison of Sobs and Shannon indexes before (T0) and after one month (T1) of isoflavone treatment in eight menopausal women. The lines inside the rectangles indicate the medians and the whiskers indicate the maximum and minimum values. Analysis was done using the nonparametric Wilcoxon signed-rank test to determine differences between T0 and T1.
Ijerph 18 07939 g002
Ijerph 18 07939 g003 550
Figure 3. Weighted UniFrac principal coordinates analysis (PCoA) plots of fecal microbiota composition from the women in the study (n = 8) before soy isoflavone intervention (A), and after one month of daily supplementation (B). Subject color coding: red, equol non-producers (n = 5); blue, equol producers (n = 3).
Figure 3. Weighted UniFrac principal coordinates analysis (PCoA) plots of fecal microbiota composition from the women in the study (n = 8) before soy isoflavone intervention (A), and after one month of daily supplementation (B). Subject color coding: red, equol non-producers (n = 5); blue, equol producers (n = 3).
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Table
Table 1. Fecal genera showing significant greater relative abundances (% sequences) in equol-producing women before (T0) and after (T1) the soy isoflavone intervention.
Table 1. Fecal genera showing significant greater relative abundances (% sequences) in equol-producing women before (T0) and after (T1) the soy isoflavone intervention.
% Relative Abundance a
T0p-Value bProducers (n = 3)Non-Producers (n = 5)
Lachnospiraceae incertae sedis0.02510.34 ± 7.992.26 ± 1.54
T1
Dorea0.0252.66 ± 1.860.71 ± 0.46
Pseudoflavonifractor0.0220.10 ± 0.030.03 ± 0.04
a Mean relative abundance ± standard deviation. b Mann–Whitney test.
Table
Table 2. Fecal fatty acids’ (FAs) concentration before and after the isoflavone treatment of the eight menopausal women of the study.
Table 2. Fecal fatty acids’ (FAs) concentration before and after the isoflavone treatment of the eight menopausal women of the study.
TimeAceticPropionicIsobutyricButyricIsovalericValericCaproic *
Basal
(n = 8)		20.64 ± 12.997.51 ± 4.751.73 ± 0.499.62 ± 6.672.42 ± 0.932.27 ± 0.741.24 ± 0.34
1 month
(n = 8)		23.67 ± 15.878.44 ± 3.61.61 ± 0.3912.9 ± 7.852.01 ± 1.122.55 ± 1.271.64 ± 1.14
Key of statistical significance: * p < 0.05 versus basal sample (t = 0), Wilcoxon test.
Table
Table 3. Differences in fecal FAs between equol producers and non-producers after isoflavone supplementation.
Table 3. Differences in fecal FAs between equol producers and non-producers after isoflavone supplementation.
Equol StatusAceticPropionicIsobutyricButyricIsovaleric *ValericCaproic
Producers
(n = 3)		19.58 ± 12.127.96 ± 1.971.46 ± 0.1110.94 ± 5.311.33 ± 1.012.32 ± 0.421.14 ± 0.23
Non-producers
(n = 5)		26.13 ± 17.688.73 ± 4.341.71 ± 0.4714.08 ± 9.012.42 ± 1.002.69 ± 1.581.94 ± 1.36
Key of statistical significance: * p < 0.05, Mann–Whitney test.
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Guadamuro, L.; Azcárate-Peril, M.A.; Tojo, R.; Mayo, B.; Delgado, S. Impact of Dietary Isoflavone Supplementation on the Fecal Microbiota and Its Metabolites in Postmenopausal Women. Int. J. Environ. Res. Public Health 2021, 18, 7939. https://doi.org/10.3390/ijerph18157939

AMA Style

Guadamuro L, Azcárate-Peril MA, Tojo R, Mayo B, Delgado S. Impact of Dietary Isoflavone Supplementation on the Fecal Microbiota and Its Metabolites in Postmenopausal Women. International Journal of Environmental Research and Public Health. 2021; 18(15):7939. https://doi.org/10.3390/ijerph18157939

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Guadamuro, Lucía, M. Andrea Azcárate-Peril, Rafael Tojo, Baltasar Mayo, and Susana Delgado. 2021. "Impact of Dietary Isoflavone Supplementation on the Fecal Microbiota and Its Metabolites in Postmenopausal Women" International Journal of Environmental Research and Public Health 18, no. 15: 7939. https://doi.org/10.3390/ijerph18157939

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