Next Article in Journal
Use of Nutraceuticals in Elderly to Fight Inflammation and Immuno-Senescence: A Randomized Case-Control Study
Next Article in Special Issue
Comparing the Effects of Concord Grape (Vitis labrusca L.) Puree, Juice, and Pomace on Intestinal Morphology, Functionality, and Bacterial Populations In Vivo (Gallus gallus)
Previous Article in Journal
An Update Regarding the Bioactive Compound of Cereal By-Products: Health Benefits and Potential Applications
Previous Article in Special Issue
Alterations in Intestinal Brush Border Membrane Functionality and Bacterial Populations Following Intra-Amniotic Administration (Gallus gallus) of Nicotinamide Riboside and Its Derivatives
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Intraamniotic Administration (Gallus gallus) of Genistein Alters Mineral Transport, Intestinal Morphology, and Gut Microbiota

1
Department of Food Science, Cornell University, Stocking Hall, Ithaca, NY 14853, USA
2
Department of Environment & Sustainability, Cornell University, Kennedy Hall, Ithaca, NY 14853, USA
3
Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(17), 3473; https://doi.org/10.3390/nu14173473
Submission received: 29 July 2022 / Revised: 16 August 2022 / Accepted: 21 August 2022 / Published: 24 August 2022
(This article belongs to the Special Issue Emerging Dietary Bioactives in Health and Disease)

Abstract

:
Genistein is an isoflavone naturally present in numerous staple food crops, such as soybeans and chickpeas. This study utilized the Gallus gallus intraamniotic administration procedure to assess genistein administration effects on trace mineral status, brush border membrane (BBM) functionality, intestinal morphology, and intestinal microbiome in vivo. Eggs were divided into five groups with 1 mL injection of the following treatments: no-injection, DI H2O, 5% inulin, and 1.25% and 2.5% genistein (n = 8 per group). Upon hatch, blood, cecum, small intestine, and liver were collected for assessment of hemoglobin, intestinal microflora alterations, intestinal morphometric assessment, and mRNA gene expression of relevant iron and zinc transporter proteins, respectively. This study demonstrated that intraamniotic administration of 2.5% genistein increased villus surface area, number of acidic goblet cells, and hemoglobin. Additionally, genistein exposure downregulated duodenal cytochrome B (DcytB) and upregulated hepcidin expression. Further, genistein exposure positively altered the composition and function of the intestinal microbiota. Our results suggest a physiological role for genistein administration in improving mineral status, favorably altering BBM functionality and development, positively modulating the intestinal microbiome, as well as improving physiological status.

Graphical Abstract

1. Introduction

Genistein is a polyphenolic isoflavone naturally found in numerous staple crops, including soybeans and chickpeas. Many studies have reported genistein to possess various beneficial and protective physiological properties, with effects observed in metabolic syndrome, diabetes, and breast and prostate cancers in vivo [1,2]. The biological effects of isoflavone consumption have been attributed to structural similarity and function with human and animal estrogens. Specifically, due to structural similarity to 17b-estradiol, genistein has been observed to possess weak estrogenic activity and exhibit preferential binding to estrogen receptor ß [2,3].
The characterization of genistein metabolism and absorption is still ongoing, despite the well-studied physiological effects of genistein and other isoflavones. Dietary isoflavones exist as isoflavone-glycosides and are transformed by intestinal microbiota via bacterial enzymatic action to more potent metabolites, such as equol and O-desmethylan- lensin [4]. Thus, individual differences in gut microbiota will consequently be expected to influence the potential for physiological effects associated with isoflavone ingestion [5]. Current research has shown genistein administration in mice fed a high-fat diet ameliorated harmful effects associated with a high-fat diet through increasing populations of bacteria associated with reduced pro-inflammatory lipopolysaccharide and lower serum triglyceride levels [1]. Another recent study has shown that isoflavone administration in vitro promoted short-chain fatty acid (SCFA) production due to increased proliferation of SCFA-producing bacteria species from Clostridium cluster XIVa, Roseburia and E. hallii [4]. Additionally, maternal genistein intake perinatally and throughout pregnancy in mice mitigated harmful effects of a high-fat fed diet in dams and offspring and was associated with an increase in butyrate-producing gut bacteria [6]. Increased SCFA production has been associated with inhibiting harmful pathogen growth, decreased intestinal pH, and upregulated brush border membrane (BBM) gene expression [7,8]. Taken together, these effects enhance micronutrient bioavailability.
Emerging evidence suggests that genistein exposure could be implicated in the altered expression of proteins involved in iron (Fe) transport. Genistein significantly increased Fe export through estrogen receptor ß-dependent p38 MAPK up-regulation through ceruloplasmin and ferroportin-1 in glial cells [9]. However, another study found that genistein treatment of human hepatocytes increased both hepcidin transcription levels and promoter activity (hepcidin decreases intestinal Fe absorption by inhibiting ferroportin) [10].
Despite the investigation of specific health benefits attributed to dietary genistein administration and subsequent knowledge of genistein ingestion on gut microbiota modulation and Fe transport, there is a paucity of knowledge regarding how genistein affects the brush border membrane (BBM) of the small intestine. As BBM functional capacity (i.e., digestive enzyme production) dictates the extent of food digestion and absorption, it is key to investigate the interactions between bioactive compounds in the diet and the BBM. There is also a lack of studies that specifically utilize the embryonic stage of the Gallus gallus for elucidating the effects of genistein consumption on BBM development and functionality. Due to similarities in intestinal morphology, microbiota, and gene homology of duodenal mineral transporters between humans and Gallus gallus, the Gallus gallus has been used as a novel and cost-effective animal model to elucidate the physiological effects of plant bioactives and nutritional solutions relevant to human nutrition [11,12,13,14,15]. To study the impact of bioactive on the embryonic stage, the intraamniotic administration approach can be utilized for testing the effects of the solution administered into the amniotic fluid on the different systems of interest in a closed system, where the amniotic fluid is naturally and orally consumed by the embryo starting at day 17 and is entirely consumed by hatch [7,11,16,17,18].
In our present study, the effects of genistein intraamniotic administration on brush border membrane (BBM) functionality, intestinal morphology, and intestinal microbiome were studied in vivo using the embryonic stage of the Gallus gallus. It was previously demonstrated that daidzein, another major isoflavone found in soybeans with estrogenic effects, altered BBM Fe transport proteins and cecal bacterial populations in the embryonic stage of the Gallus gallus [19]. Therefore, the first objective of this study was to evaluate genistein administration effects on BBM functionality through evaluating duodenal gene expression of biomarkers of mineral status, BBM digestive and absorptive ability, and inflammation. To accomplish this objective, we assessed the expression of duodenal cytochrome B (DcytB, a Fe-specific cytochrome reductase on the luminal side of the enterocyte) and divalent metal transporter 1 (DMT1, the primary transporter of Fe2+ from the luminal side of the enterocyte), ferroportin (a basolateral exporter of dietary Fe2+), liver hepcidin (decreases intestinal Fe absorption by inhibiting ferroportin), as well as duodenal ZnT7 (zinc transporter protein 7) and ZIP6 (zinc transporter) [10]. BBM digestive and absorptive ability were evaluated by assessing duodenum morphology and gene expression of biomarkers of BBM digestive and absorptive ability (AP—aminopeptidase, SI—sucrase-isomaltase, and NaK/ATPase—sodium-potassium adenosine triphosphatase). In addition, systemic inflammatory status was evaluated using the expression of immunoregulatory cytokines (TNF-α, tumor necrosis factor-alpha; and NF-κB, nuclear factor kappa B subunit 1). The second objective was to utilize PCR quantification to analyze duodenal microbial populations and next-generation sequencing to analyze the cecal microbiome to elucidate potential alterations in gut microbiota composition and function resulting from genistein administration. We hypothesize that when administered intraamniotically, genistein will alter mineral transport, cause favorable alterations in BBM functionality and development, and positively modulate the gut microbiota.

2. Materials and Methods

2.1. Animals and Experimental Design

Fertile Cornish-cross broiler eggs (Gallus gallus) were acquired (Moyer’s chicks, Quakertown, PA, USA) and incubated utilizing optimum conditions at the Cornell University Animal Science Poultry Farm Incubator [20]. The protocol was approved by the Cornell University Institutional Animal Care and Use Committee (IACUC #2020-0077). On incubation day 17, viable embryos were weighed, and eggs were randomly distributed by weight into five groups (n = 8 per group, each group contained eggs of similar weight frequency distribution). Treatments in powder form were prepared in DI H2O. The experimental groups were as follows: two treatment groups (1.25, 2.5% genistein), two controls (H2O injection and no-injection), and a positive control (5% inulin). After identification of the injection site via candling, 1 mL of experimental solution was injected into the amniotic fluid of each egg using a 21-gauge needle. After injection, the injection holes were sterilized with 70% ethanol and sealed. Eggs were returned to the incubator with equal representation at each incubator location to reduce allocation bias. Immediately upon hatch (day 21), blood was collected, and all chicks were euthanized by CO2 exposure. The small intestine, cecum, pectoral muscle, and liver were collected, placed in liquid nitrogen for immediate freezing, and stored at −80 °C until analysis.

2.2. Blood Hemoglobin (Hb) Measurements

Blood was collected in sodium heparin tubes (ThermoFisher Scientific, Waltham, MA, USA). The QuantiChromTM Hemoglobin Assay (BioAssay Systems, Hayward, CA, USA) was utilized to quantify hemoglobin (Hb) concentrations spectrophotometrically following the manufacturer’s instructions.

2.3. Total RNA Isolation from Duodenum and Liver Tissue Samples

Total RNA was extracted from 30 mg of duodenal (n = 6) or liver tissues (n = 6) according to the manufacturer’s instructions under RNase-free conditions using the Qiagen RNeasy Mini Kit (Qiagen Inc., Valencia, CA, USA). RNA was quantified by the ratio of absorbance (260/280 nm) using a NanoDrop 2000 (ThermoFisher Scientific, Waltham, MA, USA). RNA samples were stored at −80 °C until use.

2.4. Real-Time Polymerase Chain Reaction (RT-PCR)

As was previously described [12,16,17,21], cDNA was made using a 20uL reverse transcriptase (RT) reaction in a BioRad C1000 Touch Thermal Cycler using the Improm-II Reverse Transcriptase Kit (Promega, Madison, WI, USA). The reverse transcriptase reaction consisted of the following: 1 μL total RNA template, 10 μM random hexanucleotide primers, and 2 mM of oligo(dT) primers. Reactions were completed in conditions as indicated: 94 °C for 5 min, 60 min at 42 °C, 70 °C for 15 min, and hold at 4 °C. cDNA concentration was determined using a NanoDrop 2000 (ThermoFisher Scientific, Waltham, MA, USA) by measuring the ratio of absorbance (260/280 nm).

2.4.1. Primer Design

As was previously described [12,16,17,21], primers were designed using the PrimerQuest Tool (IDT DNA, Coralvilla, IA, USA) based on 13 genetic sequences publicly available on the GenBank database. DNA sequences of primers utilized in this study are summarized in Table 1.

2.4.2. Real-Time qPCR Design

RT-qPCR was performed as was previously described [12,16,17,21]. Briefly, 10 μL RT-qPCR reactions comprised cDNA, SYBR Green Supermix (2X BioRad SSO Advanced Universal, Cat #1725274, Hercules, CA, USA), forward and reverse primers (as shown in Table 1), and nuclease-free H2O. DNA amplification was performed under the following conditions: first denaturation at 95 °C for 30 s, 40 cycles of denaturation at 95 °C for 15 s, various annealing temperatures based on the primers utilized (PrimerQuest Tool, IDT DNA, Coralvilla, IA, USA) for 30 s and elongation at 60 °C for 30 s using a Bio-Rad CFX96 Touch (Hercules, CA, USA). Cp values were calculated using the automated “second derivative maximum” method (Bio-Rad CFX Maestro Software Version 4.1.2433.1219, Hercules, CA, USA). Gene expression was normalized to 18S gene expression [22]. RT-qPCR efficiency values for the 13 genes were as follows: DcytB, 1.046; DMT 1, 0.998; Ferroportin, 1.109; Hepcidin, 0.976; Δ-6-Desaturase, 0.925; ZIP6, 0.961; ZnT7, 0.916; NK-κβ, 1.113; TNF-α, 1.046; AP, 1.015; SI, 1.032; NaK/ATPase, 1.024; and 18S rRNA, 0.994.

2.5. Collection of Microbial Samples and Intestinal Contents DNA Isolation

As was previously described [16,21], intestinal contents were placed into a sterile 15 mL tube (Corning, Corning, NY, USA), 9 mL 1X phosphate buffered saline (PBS) was added, and the contents were vortexed with silicone beads (3 mm) for 3 min and centrifuged at 1000× g for 5 min. The supernatant was collected and centrifuged at 4000× g for 20 min, and the resulting pellet was washed twice with PBS. The pellet was dissolved in 50 mM EDTA and incubated with 10 mg/mL lysozyme (Sigma Aldrich CO., St. Louis, MO, USA) for 45 min at 37 °C. A Wizard Genomic DNA purification kit (Promega Corp., Madison, WI, USA) was used to isolate bacterial genomic DNA according to the manufacturer’s instructions.

2.6. PCR Amplification of Bacterial 16S rDNA

Bifidobacterium, Clostridium, Lactobacillus, E. coli, and L. plantarum primers were designed as previously described [23,24]. Universal primers for the invariant region of bacterial 16S rRNA were utilized for results normalization. PCR products were separated using electrophoresis on 2% agarose gel, stained with ethidium bromide, and quantified with Quantity One 1D software (BioRad, Hercules, CA, USA).

2.7. 16S rRNA Gene Amplification, Sequencing and Analysis

Performed as previously described [25]. Briefly, cecal bacterial DNA was extracted as defined by the manufacturer (PowerSoil DNA isolation kit, MoBio Laboratories Ltd., Carlsbad, CA, USA). Bacterial 16S rRNA gene sequences were PCR-amplified using the 515F-806R primers for the V4 hypervariable region of the 16S rRNA gene [7,25,26,27,28,29,30,31,32,33,34]. Detailed methodology is provided in the supplementary materials.

2.8. Glycogen Analysis

Glycogen content quantification in the pectoralis muscle and liver was performed as previously described [7,35]. Briefly, the frozen pectoralis muscle or liver samples were homogenized for 1 min in perchloric acid (8% v/v) on ice, centrifuged at 12,000× g for 15 min at room temperature, and the resulting supernatant was discarded. A measurement of 1 mL of petroleum ether was added, the petroleum ether fraction was discarded, and the lower layer of each sample was transferred to a 96-well plate containing iodine reagent (300 μL). Samples were read at 450 nm in a plate reader (Epoch, BioTek, VT, USA). The glycogen content was calculated using a standard curve.

2.9. Tissue Morphology Examination

Intestinal tissue morphometric assessment was performed as was previously described on duodenal sections [7,17,21]. Duodenum sections were fixed in 4% (v/v) buffered formaldehyde, dehydrated, cleared, and embedded in paraffin. Sections were cut (5 μm thickness) and positioned on glass slides, deparaffinized in xylene, rehydrated in ethanol, and stained with Alcian Blue/Periodic acid-Schiff. Villus height, villus width, crypt depth, Paneth cell number per crypt, Paneth cell width, goblet cell number, goblet cell diameter, goblet cell type within the villi, and goblet cell type within the crypts were assessed using a light microscope (CellSens Standard software, Olympus, Waltham, MA, USA). Five biological samples per treatment group (n = 5) and four segments for each biological sample were analyzed. Ten randomly selected villi and crypts were analyzed per segment and cell size measurements and counts were counted in ten randomly selected villi and/or crypts per segment (40 replicates per biological sample). Villus surface area was calculated using the following equation:
V i l l u s   s u r f a c e   a r e a = 2 π   ×   V W 2 × V L
where VW is the average of three measurements of villus width, and VL is the villus length.

2.10. Statistical Analysis

Results are shown as mean ± standard error, n = 6–12, in tables and heatmaps. Heatmaps were created in Microsoft Excel (Microsoft Corporation, Redmond, WA, USA) based on conditional formatting using color scales based on result means. Gene expression was normalized to 18S gene expression [22] and presented in arbitrary units (AU). To assess distribution normality, the Shapiro–Wilk test was used. Normally distributed results were analyzed by one-way ANOVA and Duncan post-hoc test. The Kruskal–Wallis test was utilized for non-parametric data. Differences were considered significant at p < 0.05. Statistical analyses were carried out using SPSS software (version 20.0, IBM, Armonk, NY, USA).

3. Results

3.1. Body Weight and Cecum Weight

The body weight of the 2.5% genistein group is significantly higher than the no-injection group (p < 0.05, Table 2). For cecum weights, the no-injection and H2O groups demonstrate significantly greater values when compared to the 5% inulin and 2.5% genistein groups (p < 0.05).

3.2. Hemoglobin and Glycogen Concentrations

Blood hemoglobin (Hb) levels in the 1.25% genistein group are significantly elevated compared to the no-injection, H2O, and 5% inulin groups (p < 0.05, Table 3). The blood hemoglobin of the 2.5% genistein group is higher than the no-injection group and significantly higher versus the H2O and 5% inulin groups. Among average glycogen, there were no significant differences between the genistein-treated and no-injection groups (p > 0.05).

3.3. Gene Expression of Fe, Zn, BBM Functionality, and Inflammation Related Proteins

3.3.1. Fe-Related Proteins

As depicted in Figure 1, gene expression of DMT1 is downregulated in the 2.5% genistein when compared to all other experimental groups (p < 0.05). DcytB was significantly downregulated (p < 0.05) in the genistein treatment groups compared to the no-injection, H2O, and inulin groups. Hepcidin was significantly upregulated (p < 0.05) with genistein exposure compared to the no-injection group. There were no significant differences in ferroportin expression between groups.

3.3.2. Zn-Related Proteins

ZIP6 was significantly downregulated (p < 0.05) in the 2.5% genistein group compared to all other treatment groups (Figure 1). There were no significant differences in ZnT7 or Δ-6-desaturase expression between groups.

3.3.3. Inflammatory Cytokines and BBM Functionality

No significant differences in gene expression of aminopeptidase (AP), sucrose isomaltase (SI), sodium, potassium, and adenosine triphosphate (NaK/ATPase) were found when comparing the treatment groups to the no-injection group (Figure 1). No significant differences in gene expression of nuclear transcription factor (NF-κβ) and tumor necrosis factor-α (TNF-α) between groups were found.

3.4. Morphometric Analysis of Duodenal Villi, Depth of Crypts, Goblet Cells, and Paneth Cells

The villus height, width, and surface area of the 2.5% genistein were significantly increased (p < 0.05) compared to the no-injection and H2O groups (Table 4). The 1.25% genistein group had significantly (p < 0.05) greater villus width than the no-injection and H2O groups. The 2.5% genistein group had significantly higher (p < 0.05) villus height, width and surface area compared to the 1.25% genistein.
The villi goblet cell diameter and total goblet cell number were significantly higher (p < 0.05) in the genistein-exposed groups than in the no-injection, H2O, and inulin groups (Table 5). More specifically, the acidic villi goblet cell count was significantly increased (p < 0.05) in the 1.25% genistein and 2.5% genistein groups relative to the 5% inulin, no-injection, and H2O control groups. The neutral villi goblet cell count of 1.25% genistein, 2.5% genistein, and 5% inulin groups were significantly higher (p < 0.05) compared with the no-injection and H2O injection controls, and the mixture villi goblet cells were significantly reduced (p < 0.05) with genistein exposure when compared with no-injection, H2O, and 5% inulin control groups.
As shown in Table 6, the crypt goblet cell diameter of the 1.25% genistein group was significantly larger (p < 0.05) than all control groups. The 2.5% genistein group had a significantly higher diameter than the 5% inulin group. Genistein exposure resulted in a significantly higher (p < 0.05) total crypt goblet cell count when compared with the no-injection and H2O groups. More specifically, the acidic crypt goblet cell count of both genistein treatment groups was significantly higher (p < 0.05) when compared with the no-injection, H2O, and inulin groups. Genistein exposure significantly reduced mixed crypt goblet cells (p < 0.05) compared with the no-injection, H2O, and inulin groups.
The number of crypt Paneth cells was significantly greater (p < 0.05) for the genistein treatment groups compared to the no-injection, H2O, and inulin groups (Table 7). The crypt depth for the genistein treatment groups was significantly lower (p < 0.05) compared to the H2O-injection group. The 1.25% genistein group had a significantly (p < 0.05) higher crypt Paneth cell diameter than the no-injection and 5% inulin groups.

3.5. Intestinal Content Bacterial Expression

Figure 2 shows the duodenal genera and species-level bacterial populations. The relative abundance of Bifidobacterium spp., considered a probiotic bacteria, was significantly increased (p < 0.05) with 2.5% genistein exposure compared with all other treatment groups. Lactobacillus spp. relative abundance was significantly increased (p < 0.05) with genistein exposure compared to the no-injection control. L. plantarum, a probiotic bacteria associated with increased Fe absorption, was significantly increased (p < 0.05) in the genistein-exposed groups and 5% inulin control compared with the H2O-injected control. Genistein exposure significantly decreased (p < 0.05) the relative abundance of E. coli compared with all other experimental groups. Clostridium spp. relative abundance was significantly increased (p < 0.05) in the genistein-treated groups and 5% inulin control compared to the no-injection and H2O injection controls.

4. Discussion

In the current study, we have evaluated the effect of intraamniotic genistein administration on mineral transport, duodenal brush border membrane development and functionality, and intestinal microbiota. Although the ingestion of genistein has been associated with marked physiological changes associated with cancer and metabolic syndrome, further understanding of tissue-level effects associated with genistein exposure is needed [6,36,37]. Presently, there is a paucity of studies in the literature that directly measure the effects of genistein on the combination of mineral transport, BBM morphology or functionality, and intestinal microbiota.
The intraamniotic administration of genistein positively affected intestinal development, as demonstrated by increased enterocyte proliferation. The duodenal morphometric analysis demonstrated a significant (p < 0.05) dose-responsive effect of genistein treatment on increasing villus surface area versus the no-injection control (Table 4), indicative of improved digestive enzyme and absorptive capacity [7]. A significantly (p < 0.05) reduced crypt depth was observed with genistein administration when compared to the H2O injection control group (Table 7), which has been shown to be a marker of efficient tissue turnover and good condition of the gut [38]. The increase in villus surface area and reduction in crypt depth are in accordance with other genistein administration trials using the in vivo Gallus gallus model [39,40]. Additionally, increased proliferation in total villi and crypt goblet cells and an increase in the proportion of villi acidic and crypt acidic (p < 0.05) goblet cells were observed with genistein exposure compared to the no-injection and H2O injection controls (Table 5 and Table 6). This indicates increased synthesis and secretion of acidic luminal mucin by duodenal goblet cells [11,12]. The major goblet cell mucins in the small intestine are mucin 2 proteins, gel-forming secretory mucins that facilitate hydrolysis and absorption of nutrients [18,41,42,43]. In addition to serving as a protective intestinal epithelial barrier, this mucin (mucin 2) also functions as a habitat that supports probiotic populations and promotes epithelial cell function [44,45]. Taken as a whole, this demonstrates that the intraamniotic administration of genistein can positively modulate BBM development and functionality.
The intestinal microbiota of the Gallus gallus model is significantly and directly influenced by host genetics, environment, and diet [23,46]. At the phylum level, there is a significant resemblance between the gut microbiota of Gallus gallus and humans, with Bacteroidetes, Firmicutes, Proteobacteria, and Actinobacteria representing the dominant bacterial phyla [47]. Soy isoflavone treatment has been shown to alter intestinal bacterial populations in vivo, including increases in populations of SCFA-producing bacteria [1,36,48]. In the duodenum, the relative abundance of Bifidobacterium spp. considered a probiotic bacteria species, significantly increased with 2.5% genistein exposure compared with all other treatment groups (Figure 2). Lactobacillus spp. relative abundance was significantly increased with genistein exposure compared to the no-injection control. Further, linear discriminant analysis effect size (LefSe) analysis found that genistein treatment enriched bacterial pathways associated with de novo synthesis of vitamin B12 (Figure S1), where bacteria from the Lactobacillus genus represent a small number of bacteria known to encode the complete de novo biosynthetic pathway of vitamin B12 [49,50]. L. plantarum, a probiotic bacteria species associated with increased Fe absorption, was significantly increased in the genistein exposed-groups and 5% inulin control compared with the H2O-injected control [51]. L. plantarum produces glucosidases that can hydrolyze isoflavones (glycosides) into metabolites (aglycones) with increased antioxidant activity [52]. Increased populations of health-promoting bacteria, Bifidobacterium spp., Lactobacillus spp., and L. plantarum, resulting from genistein exposure, can be attributed to increased acidic mucin production [45,53,54]. Increased acidic mucin synthesis provides an environment conducive to the proliferation of these probiotic bacterial populations, which can be associated with an increased Paneth cell number per crypt and number of villi and crypt acidic goblet cells associated with genistein administration [45,53]. Clostridium spp. was significantly increased in the genistein-treated groups, and butyrate-producing (SCFA) bacteria, such as Roseburia spp. and E. hallii from Clostridium cluster XIVa, have previously been observed to be increased with genistein exposure in vitro [4]. The increase in Lactobacillus spp., Bifidobacterium spp., and Clostridium spp. abundance may further contribute to increased mineral bioavailability as these genera house SCFA-producing species, where SCFAs reduce the intestinal pH and thus may increase mineral (Fe and Zn) solubility and absorption [7,18,55].
Our previous research suggested soy isoflavone (daidzein) intraamniotic administration has the potential to improve dietary Fe bioavailability [19]. In our current study, BBM gene expression analysis (Figure 1) demonstrated that genistein downregulated DMT1 (transports Fe2+ into duodenal enterocyte) and DcytB (reduces Fe3+ to Fe2+) and upregulated ferroportin (transports Fe2+ into blood) and hepcidin (binds to ferroportin, causes ferroportin internalization and degradation), relative to the control group, though these results were not necessarily dose-dependent or significant [56,57,58,59]. Based on protein functionalities in Fe sufficient or excess scenarios, it is expected that DcytB, DMT1, and ferroportin would be downregulated, whereas hepcidin would be upregulated [57,58,60,61,62,63]. Though upregulation of ferroportin has previously been associated with Fe deficiency, genistein treatment was found to upregulate ferroportin expression in glial cells through estrogen receptor ß-dependent p38 MAPK activation, independent of Fe status [9,63]. Genistein administration has been shown to upregulate hepcidin expression, directly influencing ferroportin expression in in vivo and in vitro liver cell models [10]. Blood Hb levels were increased with genistein administration compared with the controls, which, taken together with Fe gene expression analysis, may indicate Fe status was improved by genistein administration. Genistein exposure resulted in ZIP6 (imports zinc across cell membrane) downregulation in comparison with the no-injection control, potentially indicative of improved zinc status with genistein administration [64,65], or could be associated with estrogenic effects of soy isoflavones, where ZIP6 expression was found to be modulated with anti-estrogen treatment in breast cells [66,67]. Although Zn absorption occurs in the duodenum, it has been suggested that the ileum is the leading site of Zn absorption in Gallus gallus [68], where future studies should focus on the Zn-transporter gene expression in the ileum to further understand the effects of genistein administration on Zn transport and absorption. Overall, alterations in mineral transport and hemoglobin concentration associated with improvements in mineral status can potentially be attributed to the combination of increased bacterial production of SCFA and increased proportion of acidic goblet cells associated with genistein exposure, resulting in a lowered intestinal pH and increased mineral solubility, thus improving mineral absorption [12,18,69].
Increases in body weight were observed in a dose-dependent manner compared with the controls, with the 2.5% genistein treatment group being significantly higher (p < 0.05) than the no-injection control (Table 2). Given the short exposure time, a significant increase in body weight is unexpected, but when taken with improved Fe status and BBM development, and given that the in vivo Gallus gallus model is sensitive to dietary Fe and Zn deficiencies [55,70], a significant increase in body weight confirms the positive developmental effects related to genistein exposure [71]. Additional studies are warranted to assess shifts in mineral status, intestinal functionality and development, and intestinal microbiota post-hatch and during a long-term feeding trial associated with genistein consumption.

5. Conclusions

This present study demonstrates intraamniotic administration of genistein improved brush border membrane functionality through improvements in villus architecture, goblet cell expansion, and related mucin production. Additionally, increases in the relative abundance of bacterial populations associated with SCFA production were found. Consequently, the combination of these factors contributed to alterations in the relative expression of various duodenal and hepatic proteins responsible for mineral absorption and transport associated with improved Fe status. Given these findings, genistein represents a promising plant bioactive and should be further evaluated in long-term animal and controlled human efficacy trials.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu14173473/s1, Figure S1: Bacterial pathways identified by the LEfSe method with the greatest differences in the control, 5% inulin, and genistein treated groups.

Author Contributions

Conceptualization, P.S. and E.T.; methodology, N.K., J.C. and E.T.; formal analysis, N.K., J.C., S.T., C.E., O.K. and E.T.; investigation, J.C., P.S., N.K. and E.T.; resources, O.K. and E.T.; data curation, N.K., J.C., S.T., C.E., O.K. and E.T.; writing—original draft preparation, J.C. and P.S.; writing—review and editing, J.C., N.K., S.T., C.E., O.K. and E.T.; supervision, O.K. and E.T.; funding acquisition, E.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The animal protocol used in this study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Cornell University Institutional Animal Care and Use Committee by ethic approval code 2020-0077.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data available upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lopez, P.; Sanchez, M.; Perez-Cruz, C.; Velazquez-Villegas, L.A.; Syeda, T.; Aguilar-Lopez, M.; Rocha-Viggiano, A.K.; Del Carmen Silva-Lucero, M.; Torre-Villalvazo, I.; Noriega, L.G.; et al. Long-Term Genistein Consumption Modifies Gut Microbiota, Improving Glucose Metabolism, Metabolic Endotoxemia, and Cognitive Function in Mice Fed a High-Fat Diet. Mol. Nutr. Food Res. 2018, 62, e1800313. [Google Scholar] [CrossRef]
  2. Spagnuolo, C.; Russo, G.L.; Orhan, I.E.; Habtemariam, S.; Daglia, M.; Sureda, A.; Nabavi, S.F.; Devi, K.P.; Loizzo, M.R.; Tundis, R.; et al. Genistein and cancer: Current status, challenges, and future directions. Adv. Nutr. 2015, 6, 408–419. [Google Scholar] [CrossRef]
  3. Setchell, K. Phytoestrogens: The biochemistry, physiology, and implications for human health of soy isoflavones. Am. J. Clin. Nutr. 1998, 68, 1333S–1346S. [Google Scholar] [CrossRef]
  4. 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]
  5. Matthies, A.; Blaut, M.; Braune, A. Isolation of a human intestinal bacterium capable of daidzein and genistein conversion. Appl. Environ. Microbiol. 2009, 75, 1740–1744. [Google Scholar] [CrossRef]
  6. Zhou, L.; Xiao, X.; Zhang, Q.; Zheng, J.; Li, M.; Wang, X.; Deng, M.; Zhai, X.; Liu, J. Gut microbiota might be a crucial factor in deciphering the metabolic benefits of perinatal genistein consumption in dams and adult female offspring. Food Funct. 2019, 10, 4505–4521. [Google Scholar] [CrossRef]
  7. Carboni, J.; Reed, S.; Kolba, N.; Eshel, A.; Koren, O.; Tako, E. Alterations in the Intestinal Morphology, Gut Microbiota, and Trace Mineral Status Following Intra-Amniotic Administration (Gallus gallus) of Teff (Eragrostis tef) Seed Extracts. Nutrients 2020, 12, 3020. [Google Scholar] [CrossRef]
  8. Dias, D.M.; Costa, N.M.B.; Nutti, M.R.; Tako, E.; Martino, H.S.D. Advantages and limitations of in vitro and in vivo methods of iron and zinc bioavailability evaluation in the assessment of biofortification program effectiveness. Crit. Rev. Food Sci. Nutr. 2018, 58, 2136–2146. [Google Scholar] [CrossRef]
  9. Persichini, T.; Maio, N.; di Patti, M.C.; Rizzo, G.; Colasanti, M.; Musci, G. Genistein up-regulates the iron efflux system in glial cells. Neurosci. Lett. 2010, 470, 145–149. [Google Scholar] [CrossRef] [PubMed]
  10. Zhen, A.W.; Nguyen, N.H.; Gibert, Y.; Motola, S.; Buckett, P.; Wessling-Resnick, M.; Fraenkel, E.; Fraenkel, P.G. The small molecule, genistein, increases hepcidin expression in human hepatocytes. Hepatology 2013, 58, 1315–1325. [Google Scholar] [CrossRef]
  11. Hou, T.; Tako, E. The In Ovo Feeding Administration (Gallus gallus)—An Emerging In Vivo Approach to Assess Bioactive Compounds with Potential Nutritional Benefits. Nutrients 2018, 10, 418. [Google Scholar] [CrossRef] [PubMed]
  12. Dias, D.M.; Kolba, N.; Hart, J.J.; Ma, M.; Sha, S.T.; Lakshmanan, N.; Nutti, M.R.; Martino, H.S.D.; Glahn, R.P.; Tako, E. Soluble extracts from carioca beans (Phaseolus vulgaris L.) affect the gut microbiota and iron related brush border membrane protein expression in vivo (Gallus gallus). Food Res. Int. 2019, 123, 172–180. [Google Scholar] [CrossRef] [PubMed]
  13. Mahler, G.J.; Esch, M.B.; Tako, E.; Southard, T.L.; Archer, S.D.; Glahn, R.P.; Shuler, M.L. Oral exposure to polystyrene nanoparticles affects iron absorption. Nat. Nanotechnol. 2012, 7, 264–271. [Google Scholar] [CrossRef] [PubMed]
  14. Consortium, I.C.G.S. Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution. Nature 2004, 432, 695–777. [Google Scholar]
  15. Warkentin, T.; Kolba, N.; Tako, E. Low Phytate Peas (Pisum sativum L.) Improve Iron Status, Gut Microbiome, and Brush Border Membrane Functionality In Vivo (Gallus gallus). Nutrients 2020, 12, 2563. [Google Scholar] [CrossRef]
  16. Kolba, N.; Guo, Z.; Olivas, F.M.; Mahler, G.J.; Tako, E. Intra-amniotic administration (Gallus gallus) of TiO2, SiO2, and ZnO nanoparticles affect brush border membrane functionality and alters gut microflora populations. Food Chem. Toxicol. 2020, 135, 110896. [Google Scholar] [CrossRef]
  17. Pereira da Silva, B.; Kolba, N.; Stampini Duarte Martino, H.; Hart, J.; Tako, E. Soluble Extracts from Chia Seed (Salvia hispanica L.) Affect Brush Border Membrane Functionality, Morphology and Intestinal Bacterial Populations In Vivo (Gallus gallus). Nutrients 2019, 11, 2457. [Google Scholar] [CrossRef]
  18. Pacifici, S.; Song, J.; Zhang, C.; Wang, Q.; Glahn, R.P.; Kolba, N.; Tako, E. Intra Amniotic Administration of Raffinose and Stachyose Affects the Intestinal Brush Border Functionality and Alters Gut Microflora Populations. Nutrients 2017, 9, 304. [Google Scholar] [CrossRef]
  19. Hartono, K.; Reed, S.; Ankrah, N.A.; Glahn, R.P.; Tako, E. Alterations in gut microflora populations and brush border functionality following intra-amniotic daidzein administration. RSC Adv. 2015, 5, 6407–6412. [Google Scholar] [CrossRef]
  20. Decuypere, E.; Michels, H. Incubation temperature as a management tool: A review. World’s Poult. Sci. Assoc. 1992, 48, 28–38. [Google Scholar] [CrossRef]
  21. Martino, H.S.D.; Kolba, N.; Tako, E. Yacon (Smallanthus sonchifolius) flour soluble extract improve intestinal bacterial populations, brush border membrane functionality and morphology in vivo (Gallus gallus). Food Res. Int. 2020, 137, 109705. [Google Scholar] [CrossRef] [PubMed]
  22. Kuchipudi, S.V.; Tellabati, M.; Nelli, R.K.; White, G.A.; Perez, B.B.; Sebastian, S.; Slomka, M.J.; Brookes, S.M.; Brown, I.H.; Dunham, S.P.; et al. 18S rRNAis a reliable normalisation gene for real time PCR based on influenza virus infected cells. Virology J. 2012, 9, 230. [Google Scholar] [CrossRef] [PubMed]
  23. Zhu, X.Y.; Zhong, T.; Pandya, Y.; Joerger, R.D. 16S rRNA-based analysis of microbiota from the cecum of broiler chickens. Appl. Environ. Microbiol. 2002, 68, 124–137. [Google Scholar] [CrossRef] [PubMed]
  24. Gorsuch, J.; LeSaint, D.; VanderKelen, J.; Buckman, D.; Kitts, C.L. A comparison of methods for enumerating bacteria in direct fed microbials for animal feed. J. Microbiol. Methods 2019, 160, 124–129. [Google Scholar] [CrossRef] [PubMed]
  25. Reed, S.; Neuman, H.; Glahn, R.P.; Koren, O.; Tako, E. Characterizing the gut (Gallus gallus) microbiota following the consumption of an iron biofortified Rwandan cream seeded carioca (Phaseolus vulgaris L.) bean-based diet. PLoS ONE 2017, 12, e0182431. [Google Scholar] [CrossRef] [PubMed]
  26. Bolyen, E.; Rideout, J.R.; Dillon, M.R.; Bokulich, N.A.; Abnet, C.C.; Al-Ghalith, G.A.; Alexander, H.; Alm, E.J.; Arumugam, M.; Asnicar, F.; et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 2019, 37, 852–857. [Google Scholar] [CrossRef]
  27. McDonald, D.; Price, M.N.; Goodrich, J.; Nawrocki, E.P.; DeSantis, T.Z.; Probst, A.; Andersen, G.L.; Knight, R.; Hugenholtz, P. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J. 2012, 6, 610–618. [Google Scholar] [CrossRef]
  28. Langille, M.G.; Zaneveld, J.; Caporaso, J.G.; McDonald, D.; Knights, D.; Reyes, J.A.; Clemente, J.C.; Burkepile, D.E.; Vega Thurber, R.L.; Knight, R.; et al. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat. Biotechnol. 2013, 31, 814–821. [Google Scholar] [CrossRef]
  29. Segata, N.; Izard, J.; Waldron, L.; Gevers, D.; Miropolsky, L.; Garrett, W.S.; Huttenhower, C. Metagenomic biomarker discovery and explanation. Genome Biol. 2011, 12, R60. [Google Scholar] [CrossRef]
  30. Caporaso, J.G.; Kuczynski, J.; Stombaugh, J.; Bittinger, K.; Bushman, F.D.; Costello, E.K.; Fierer, N.; Pena, A.G.; Goodrich, J.K.; Gordon, J.I.; et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 2010, 7, 335–336. [Google Scholar] [CrossRef]
  31. Price, M.N.; Dehal, P.S.; Arkin, A.P. FastTree: Computing large minimum evolution trees with profiles instead of a distance matrix. Mol. Biol. Evol. 2009, 26, 1641–1650. [Google Scholar] [CrossRef] [PubMed]
  32. Faith, D. Conservation evaluation and phylogenetic diversity. Biol. Conserv. 1992, 61, 1–10. [Google Scholar] [CrossRef]
  33. Lozupone, C.; Knight, R. UniFrac: A new phylogenetic method for comparing microbial communities. Appl. Environ. Microbiol. 2005, 71, 8228–8235. [Google Scholar] [CrossRef] [PubMed]
  34. Caporaso, J.G.; Bittinger, K.; Bushman, F.D.; DeSantis, T.Z.; Andersen, G.L.; Knight, R. PyNAST: A flexible tool for aligning sequences to a template alignment. Bioinformatics 2010, 26, 266–267. [Google Scholar] [CrossRef]
  35. Dreiling, C.; Brown, D.; Casale, L.; Kelly, L. Muscle Glycogen: Comparison of Iodine Binding and Enzyme Digestion Assays and Application to Meat Samples. Meat Sci. 1987, 20, 167–177. [Google Scholar] [CrossRef]
  36. Huang, G.; Xu, J.; Lefever, D.E.; Glenn, T.C.; Nagy, T.; Guo, T.L. Genistein prevention of hyperglycemia and improvement of glucose tolerance in adult non-obese diabetic mice are associated with alterations of gut microbiome and immune homeostasis. Toxicol. Appl. Pharmacol. 2017, 332, 138–148. [Google Scholar] [CrossRef]
  37. Guevara-Cruz, M.; Godinez-Salas, E.T.; Sanchez-Tapia, M.; Torres-Villalobos, G.; Pichardo-Ontiveros, E.; Guizar-Heredia, R.; Arteaga-Sanchez, L.; Gamba, G.; Mojica-Espinosa, R.; Schcolnik-Cabrera, A.; et al. Genistein stimulates insulin sensitivity through gut microbiota reshaping and skeletal muscle AMPK activation in obese subjects. BMJ Open Diabetes Res. Care 2020, 8, e000948. [Google Scholar] [CrossRef]
  38. Sobolewska, A.; Bogucka, J.; Dankowiakowska, A.; Elminowska-Wenda, G.; Stadnicka, K.; Bednarczyk, M. The impact of synbiotic administration through in ovo technology on the microstructure of a broiler chicken small intestine tissue on the 1st and 42nd day of rearing. J. Anim. Sci. Biotechnol. 2017, 8, 61. [Google Scholar] [CrossRef]
  39. Kamboh, A.A.; Zhu, W.Y. Individual and combined effects of genistein and hesperidin on immunity and intestinal morphometry in lipopolysacharide-challenged broiler chickens. Poult. Sci. 2014, 93, 2175–2183. [Google Scholar] [CrossRef]
  40. Glisic, M.; Boskovic, M.; Baltic, M.Z.; Sefer, D.; Radovanovic, A.; Djordjevic, V.; Raseta, M.; Markovic, R. Performance, intestinal histomorphology and bone composition of broiler chickens fed diets supplemented with genistein. S. Afr. J. Anim. Sci. 2020, 50, 241–252. [Google Scholar] [CrossRef]
  41. Limage, R.; Tako, E.; Kolba, N.; Guo, Z.; Garcia-Rodriguez, A.; Marques, C.N.H.; Mahler, G.J. TiO2 Nanoparticles and Commensal Bacteria Alter Mucus Layer Thickness and Composition in a Gastrointestinal Tract Model. Small 2020, 16, e2000601. [Google Scholar] [CrossRef] [PubMed]
  42. Nikolenko, V.N.; Oganesyan, M.V.; Sankova, M.V.; Bulygin, K.V.; Vovkogon, A.D.; Rizaeva, N.A.; Sinelnikov, M.Y. Paneth cells: Maintaining dynamic microbiome-host homeostasis, protecting against inflammation and cancer. Bioessays 2021, 43, e2000180. [Google Scholar] [CrossRef] [PubMed]
  43. Kim, Y.S.; Ho, S.B. Intestinal goblet cells and mucins in health and disease: Recent insights and progress. Curr. Gastroenterol. Rep. 2010, 12, 319–330. [Google Scholar] [CrossRef] [PubMed]
  44. Engevik, M.A.; Luk, B.; Chang-Graham, A.L.; Hall, A.; Herrmann, B.; Ruan, W.; Endres, B.T.; Shi, Z.; Garey, K.W.; Hyser, J.M.; et al. Bifidobacterium dentium Fortifies the Intestinal Mucus Layer via Autophagy and Calcium Signaling Pathways. mBio 2019, 10, 3. [Google Scholar] [CrossRef]
  45. O’Callaghan, A.; van Sinderen, D. Bifidobacteria and Their Role as Members of the Human Gut Microbiota. Front. Microbiol. 2016, 7, 925. [Google Scholar] [CrossRef]
  46. Yegani, M.; Korver, D.R. Factors affecting intestinal health in poultry. Poult. Sci. 2008, 87, 2052–2063. [Google Scholar] [CrossRef]
  47. Qin, J.; Li, R.; Raes, J.; Arumugam, M.; Burgdorf, K.S.; Manichanh, C.; Nielsen, T.; Pons, N.; Levenez, F.; Yamada, T.; et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 2010, 464, 59–65. [Google Scholar] [CrossRef]
  48. Huang, G.; Xu, J.; Cai, D.; Chen, S.Y.; Nagy, T.; Guo, T.L. Exacerbation of Type 1 Diabetes in Perinatally Genistein Exposed Female Non-Obese Diabetic (NOD) Mouse Is Associated With Alterations of Gut Microbiota and Immune Homeostasis. Toxicol. Sci. 2018, 165, 291–301. [Google Scholar] [CrossRef]
  49. Torres, A.C.; Vannini, V.; Bonacina, J.; Font, G.; Saavedra, L.; Taranto, M.P. Cobalamin production by Lactobacillus coryniformis: Biochemical identification of the synthetized corrinoid and genomic analysis of the biosynthetic cluster. BMC Microbiol. 2016, 16, 240. [Google Scholar] [CrossRef]
  50. De Angelis, M.; Bottacini, F.; Fosso, B.; Kelleher, P.; Calasso, M.; Di Cagno, R.; Ventura, M.; Picardi, E.; van Sinderen, D.; Gobbetti, M. Lactobacillus rossiae, a vitamin B12 producer, represents a metabolically versatile species within the Genus Lactobacillus. PLoS ONE 2014, 9, e107232. [Google Scholar] [CrossRef]
  51. Axling, U.; Onning, G.; Martinsson Niskanen, T.; Larsson, N.; Hansson, S.R.; Hulthen, L. The effect of Lactiplantibacillus plantarum 299v together with a low dose of iron on iron status in healthy pregnant women: A randomized clinical trial. Acta Obstet. Gynecol. Scand. 2021, 100, 1602–1610. [Google Scholar] [CrossRef] [PubMed]
  52. Landete, J.M.; Curiel, J.A.; Rodríguez, H.; de las Rivas, B.; Muñoz, R. Aryl glycosidases from Lactobacillus plantarum increase antioxidant activity of phenolic compounds. J. Funct. Foods 2014, 7, 322–329. [Google Scholar] [CrossRef]
  53. Sánchez, B.; Champomier-Vergès, M.-C.; Collado, M.d.C.; Anglade, P.; Baraige, F.; Sanz, Y.; de los Reyes-Gavilán, C.G.; Margolles, A.; Zagorec, M. Low-pH adaptation and the acid tolerance response of Bifidobacterium longum biotype longum. Appl. Environ. Microbiol. 2007, 73, 6450–6459. [Google Scholar] [CrossRef] [PubMed]
  54. Sánchez, B.; Schmitter, J.M.; Urdaci, M.C. Identification of novel proteins secreted by Lactobacillus plantarum that bind to mucin and fibronectin. J. Mol. Microbiol. Biotechnol. 2009, 17, 158–162. [Google Scholar] [CrossRef]
  55. Tako, E.; Glahn, R.P.; Knez, M.; Stangoulis, J.C.R. The effect of wheat prebiotics on the gut bacterial population and iron status of iron deficient broiler chickens. Nutr. J. 2014, 13, 58. [Google Scholar] [PubMed]
  56. Mackenzie, B.; Garrick, M.D. Iron Imports. II. Iron uptake at the apical membrane in the intestine. Am. J. Physiol. Gastrointest. Liver Physiol. 2005, 289, G981–G986. [Google Scholar] [CrossRef]
  57. Morgan, E.H.; Oates, P.S. Mechanisms and regulation of intestinal iron absorption. Blood Cells Mol. Dis. 2002, 29, 384–399. [Google Scholar] [CrossRef]
  58. Fuqua, B.K.; Vulpe, C.D.; Anderson, G.J. Intestinal iron absorption. J. Trace Elem. Med. Biol. 2012, 26, 115–119. [Google Scholar] [CrossRef]
  59. Patchen, B.; Koppe, T.; Cheng, A.; Seo, Y.A.; Wessling-Resnick, M.; Fraenkel, P.G. Dietary supplementation with ipriflavone decreases hepatic iron stores in wild type mice. Blood Cells Mol. Dis. 2016, 60, 36–43. [Google Scholar] [CrossRef]
  60. Imam, M.U.; Zhang, S.; Ma, J.; Wang, H.; Wang, F. Antioxidants Mediate Both Iron Homeostasis and Oxidative Stress. Nutrients 2017, 9, 671. [Google Scholar] [CrossRef]
  61. Lane, D.J.; Bae, D.H.; Merlot, A.M.; Sahni, S.; Richardson, D.R. Duodenal cytochrome b (DCYTB) in iron metabolism: An update on function and regulation. Nutrients 2015, 7, 2274–2296. [Google Scholar] [CrossRef] [PubMed]
  62. Gulec, S.; Anderson, G.J.; Collins, J.F. Mechanistic and regulatory aspects of intestinal iron absorption. Am. J. Physiol. Gastrointest. Liver Physiol. 2014, 307, G397–G409. [Google Scholar] [CrossRef] [PubMed]
  63. Zimmermann, M.B.; Hurrell, R.F. Nutritional iron deficiency. Lancet 2007, 370, 511–520. [Google Scholar] [CrossRef]
  64. Maares, M.; Haase, H. A Guide to Human Zinc Absorption: General Overview and Recent Advances of In Vitro Intestinal Models. Nutrients 2020, 12, 762. [Google Scholar] [CrossRef] [PubMed]
  65. Takagishi, T.; Hara, T.; Fukada, T. Recent Advances in the Role of SLC39A/ZIP Zinc Transporters In Vivo. Int. J. Mol. Sci. 2017, 18, 2708. [Google Scholar] [CrossRef]
  66. Takatani-Nakase, T. Zinc Transporters and the Progression of Breast Cancers. Biol. Pharm. Bull. 2018, 41, 1517–1522. [Google Scholar] [CrossRef]
  67. Lopez, V.; Kelleher, S.L. Zip6-attenuation promotes epithelial-to-mesenchymal transition in ductal breast tumor (T47D) cells. Exp. Cell Res. 2010, 316, 366–375. [Google Scholar] [CrossRef]
  68. Yu, Y.; Lu, L.; Luo, X.G.; Liu, B. Kinetics of Zinc Absorption by In Situ Ligated Intestinal Loops of Broilers Involved in Zinc Transporters1. Poult. Sci. 2008, 87, 1146–1155. [Google Scholar] [CrossRef]
  69. Wang, X.; Kolba, N.; Liang, J.; Tako, E. Alterations in gut microflora populations and brush border functionality following intra-amniotic administration (Gallus gallus) of wheat bran prebiotic extracts. Food Funct. 2019, 10, 4834–4843. [Google Scholar] [CrossRef]
  70. Reed, S.; Qin, X.; Ran-Ressler, R.; Brenna, J.T.; Glahn, R.P.; Tako, E. Dietary zinc deficiency affects blood linoleic acid: Dihomo-gamma-linolenic acid (LA:DGLA) ratio; a sensitive physiological marker of zinc status in vivo (Gallus gallus). Nutrients 2014, 6, 1164–1180. [Google Scholar] [CrossRef]
  71. Tako, E.; Glahn, R.P. Iron Status of the Late Term Broiler (Gallus gallus) Embryo and Hatchling. Int. J. Poult. Sci. 2011, 10, 42–48. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Effect of intraamniotic administration of genistein and controls on duodenal and liver (hepcidin) mRNA gene expression. Gene expression has been normalized to the 18S housekeeping gene and is in arbitrary units (AU). Values are presented as mean ± SEM, n = 6. a–c Per gene (in the same column), treatments groups not indicated by the same letter are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test. DcytB, duodenal cytochrome b; DMT1, divalent metal transporter 1; ZIP6, zinc transport protein 6; ZnT7, zinc transporter 7; AP, amino peptidase; SI, sucrose isomaltase; NaK/ATPase, sodium, potassium and adenosine triphosphate; NF-κβ, nuclear factor kappa β subunit 1; TNF-α, tumor necrosis factor-α.
Figure 1. Effect of intraamniotic administration of genistein and controls on duodenal and liver (hepcidin) mRNA gene expression. Gene expression has been normalized to the 18S housekeeping gene and is in arbitrary units (AU). Values are presented as mean ± SEM, n = 6. a–c Per gene (in the same column), treatments groups not indicated by the same letter are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test. DcytB, duodenal cytochrome b; DMT1, divalent metal transporter 1; ZIP6, zinc transport protein 6; ZnT7, zinc transporter 7; AP, amino peptidase; SI, sucrose isomaltase; NaK/ATPase, sodium, potassium and adenosine triphosphate; NF-κβ, nuclear factor kappa β subunit 1; TNF-α, tumor necrosis factor-α.
Nutrients 14 03473 g001
Figure 2. Effects of intraamniotic injections of genistein and the controls on duodenal genera and species-level bacterial populations. Values are presented as mean ± SEM, n = 5, as relative intensity of bands per mm2 of gel. a,b per bacterial category (in the same column), treatment groups that do not share any letters are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test.
Figure 2. Effects of intraamniotic injections of genistein and the controls on duodenal genera and species-level bacterial populations. Values are presented as mean ± SEM, n = 5, as relative intensity of bands per mm2 of gel. a,b per bacterial category (in the same column), treatment groups that do not share any letters are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test.
Nutrients 14 03473 g002
Table 1. Sequences of primers used in this study.
Table 1. Sequences of primers used in this study.
AnalyteForward Primer (5′–3′)Reverse Primer (3′–5′)Base PairGI Identifier
Iron Metabolism
DcytBCATGTGCATTCTCTTCCAAAGTCCTCCTTGGTGACCGCATTAT10320380692
DMT1TTGATTCAGAGCCTCCCATTAGGCGAGGAGTAGGCTTGTATTT101206597489
FerroportinCTCAGCAATCACTGGCATCAACTGGGCAACTCCAGAAATAAG98423984
HepcidinAGACGACAATGCAGACTAACCCTGCAGCAATCCCACATTTC132SAMN08056490
Zinc Metabolism
Δ-6-desaturaseGGCGAAAGTCAGCCTATTGAAGGTGGGAAGATGAGGAAGA93261865208
ZIP6GCTACTGGGTAATGGTGAAGAAGCTGTGCCAGAACTGTAGAA38066735072
ZnT7GGAAGATGTCAGGATGGTTCACGAAGGACAAATTGAGGCAAAG8756555152
BBM Functionality
APCGTCAGCCAGTTTGACTATGTACTCTCAAAGAAGCTGAGGATGG13845382360
SICCAGCAATGCCAGCATATTGCGGTTTCTCCTTACCACTTCTT952246388
NaK/ATPaseCCTTGGAGGTTTCTTCACCTATTGGTCATCCCACTGAAGTCTAATC9214330321
Inflammatory Response
NF-κβCACAGCTGGAGGGAAGTAAATTTGAGTAAGGAAGTGAGGTTGAG1002130627
TNF-αGACAGCCTATGCCAACAAGTATTACAGGAAGGGCAACTCATC10953854909
18SGCAAGACGAACTAAAGCGAAAGTCGGAACTACGACGGTATCT1007262899
DcytB, duodenal cytochrome b; DMT1, divalent metal transporter 1; ZIP6, zinc transport protein 6; ZnT7, Zinc transporter 7; AP, amino peptidase; SI, Sucrose isomaltase; NaK/ATPase, Sodium, Potassium and adenosine triphosphate; NF-κβ, nuclear factor kappa β subunit 1; TNF-α, tumor necrosis factor-α.
Table 2. Effect of genistein exposure on body weight and cecum weight 1.
Table 2. Effect of genistein exposure on body weight and cecum weight 1.
Treatment GroupAverage Body Weight (g)Average Cecum Weight (g)
No Injection43.23 ± 1.44 b0.60 ± 0.05 a
H2O44.62 ± 1.43 ab0.59 ± 0.05 a
5% Inulin46.04 ± 1.18 ab0.43 ± 0.05 b
1.25% Genistein45.83 ± 0.99 ab0.50 ± 0.04 ab
2.5% Genistein47.69 ± 1.30 a0.44 ± 0.03 b
1 Values are means ± SEM, n = 6. a,b Treatment groups not indicated by the same letter in the same column are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test.
Table 3. Blood hemoglobin (Hb) concentrations (g/dL) and pectoral muscle glycogen concentrations (mg/g) following genistein exposure 1.
Table 3. Blood hemoglobin (Hb) concentrations (g/dL) and pectoral muscle glycogen concentrations (mg/g) following genistein exposure 1.
Treatment GroupAverage Hb (g/dL)Average Glycogen (mg/g)
No Injection10.10 ± 2.40 bc0.019 ± 0.005 a
H2O9.68 ± 2.50 c0.014 ± 0.003 a
5% Inulin9.56 ± 0.92 c0.002 ± 0.001 b
1.25% Genistein14.98 ± 0.45 a0.008 ± 0.003 ab
2.5% Genistein14.23 ± 0.79 ab0.015 ± 0.004 a
1 Values are the means ± SEM, n = 6–12. a–c Treatment groups not indicated by the same letter in the same column are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test.
Table 4. Effects of genistein intraamniotic administration on duodenal small intestinal villus 1.
Table 4. Effects of genistein intraamniotic administration on duodenal small intestinal villus 1.
Treatment GroupVillus Height (µm)Villus Width (µm)Villus Surface Area (µm2)
No Injection201.18 ± 4.94 b33.73 ± 0.67 e112.51 ± 4.28 d
H2O204.74 ± 4.52 b41.92 ± 1.01 d143.33 ± 5.27 c
5% Inulin246.64 ± 5.14 a50.98 ± 1.03 a206.92 ± 6.37 a
1.25% Genistein204.18 ± 3.73 b44.51 ± 0.86 c146.97 ± 4.55 c
2.5% Genistein238.22 ± 3.17 a48.27 ± 0.87 b184.13 ± 4.66 b
1 Values are presented as mean ± SEM, n = 5. a–e Treatment groups not indicated by the same letter in the same column are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test.
Table 5. Effects of genistein intraamniotic administration on villi goblet cells 1.
Table 5. Effects of genistein intraamniotic administration on villi goblet cells 1.
Treatment GroupVilli Goblet Cell Diameter (µm)Villi Goblet Cell Number (Unit)
AcidicNeutralMixtureTotal
No Injection2.86 ± 0.02 d13.59 ± 0.39 d0.01 ± 0.01 c*3.50 ± 0.23 c17.09 ± 0.49 d
H2O3.11 ± 0.03 c15.03 ± 0.39 c0.01 ± 0.01 c*5.76 ± 0.30 b20.80 ± 0.47 c
5% Inulin2.74 ± 0.03 e16.39 ± 0.54 c0.10 ± 0.02 b*6.53 ± 0.30 a23.02 ± 0.60 b
1.25% Genistein3.41 ± 0.03 b23.49 ± 0.67 a0.09 ± 0.03 b*1.69 ± 0.13 e25.26 ± 0.67 a
2.5% Genistein3.50 ± 0.03 a22.01 ± 0.51 b0.19 ± 0.04 a*2.70 ± 0.16 d24.89 ± 0.54 a
1 Values are presented as mean ± SEM, n = 5. a–e Treatment groups not indicated by the same letter in the same column are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test. a*–c* Treatment groups indicated are significantly different (p < 0.05) based on Kruskal–Wallis.
Table 6. Effects of genistein intraamniotic administration on crypt goblet cells 1.
Table 6. Effects of genistein intraamniotic administration on crypt goblet cells 1.
Treatment GroupCrypt Goblet Cell Diameter (µm)Crypt Goblet Cell Number (Unit)
AcidicNeutralMixtureTotal
No Injection2.68 ± 0.02 b5.46 ± 0.18 d0.00 ± 0.00 a1.49 ± 0.09 b6.95 ± 0.21 d
H2O2.65 ± 0.02 b6.07 ± 0.18 c0.00 ± 0.00 a1.76 ± 0.08 a7.83 ± 0.19 c
5% Inulin2.51 ± 0.02 c7.97 ± 0.16 b0.00 ± 0.00 a1.19 ± 0.08 c9.15 ± 0.16 b
1.25% Genistein2.89 ± 0.02 a8.51 ± 0.14 a0.00 ± 0.00 a0.74 ± 0.06 d9.25 ± 0.14 ab
2.5% Genistein2.63 ± 0.02 b8.81 ± 0.19 a0.00 ± 0.00 a0.88 ± 0.06 d9.68 ± 0.19 a
1 Values are presented as mean ± SEM, n = 5. a–d treatment groups not indicated by the same letter in the same column are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test.
Table 7. Effects of genistein intraamniotic administration on crypt depth and Paneth cells 1.
Table 7. Effects of genistein intraamniotic administration on crypt depth and Paneth cells 1.
Treatment GroupCrypt Depth (µm)# Crypt Paneth CellsCrypt Paneth cell Diameter (µm)
No Injection22.45 ± 0.39 d1.48 ± 0.05 d1.67 ± 0.03 b
H2O39.07 ± 0.80 a2.46 ± 0.11 c1.82 ± 0.04 a
5% Inulin35.00 ± 0.43 b2.56 ± 0.09 c1.68 ± 0.03 b
1.25% Genistein26.36 ± 0.46 c2.92 ± 0.10 b1.78 ± 0.04 a
2.5% Genistein23.65 ± 0.46 d3.24 ± 0.11 a1.65 ± 0.03 b
1 Values are the means ± SEM, n = 5. a–d treatment groups not indicated by the same letter in the same column are significantly different (p < 0.05) according to one-way ANOVA with post-hoc Duncan test. The # symbol refers to the number of Paneth cells.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Cheng, J.; Kolba, N.; Sisser, P.; Turjeman, S.; Even, C.; Koren, O.; Tako, E. Intraamniotic Administration (Gallus gallus) of Genistein Alters Mineral Transport, Intestinal Morphology, and Gut Microbiota. Nutrients 2022, 14, 3473. https://doi.org/10.3390/nu14173473

AMA Style

Cheng J, Kolba N, Sisser P, Turjeman S, Even C, Koren O, Tako E. Intraamniotic Administration (Gallus gallus) of Genistein Alters Mineral Transport, Intestinal Morphology, and Gut Microbiota. Nutrients. 2022; 14(17):3473. https://doi.org/10.3390/nu14173473

Chicago/Turabian Style

Cheng, Jacquelyn, Nikolai Kolba, Philip Sisser, Sondra Turjeman, Carmel Even, Omry Koren, and Elad Tako. 2022. "Intraamniotic Administration (Gallus gallus) of Genistein Alters Mineral Transport, Intestinal Morphology, and Gut Microbiota" Nutrients 14, no. 17: 3473. https://doi.org/10.3390/nu14173473

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop