Skip to main content

ORIGINAL RESEARCH article

Front. Nutr., 09 July 2020
Sec. Nutrition and Microbes
Volume 7 - 2020 | https://doi.org/10.3389/fnut.2020.00091

In vitro Fermentation of Digested Milk Fat Globule Membrane From Ruminant Milk Modulates Piglet Ileal and Caecal Microbiota

  • 1Food Nutrition & Health Team, AgResearch, Grasslands Research Centre, Palmerston North, New Zealand
  • 2Riddet Institute, Massey University, Palmerston North, New Zealand
  • 3High-Value Nutrition National Science Challenge, Auckland, New Zealand

Lipids in milk are secreted as a triacylglycerol core surrounded by a trilayer membrane, the milk fat globule membrane (MFGM). This membrane, known to have important roles in infant brain and intestinal development, is composed of proteins, glycoproteins, and complex lipids. We hypothesized that some of the beneficial properties of MFGM are due to its effects on the gastrointestinal microbiota. This study aimed to determine the effect of a commercial phospholipid concentrate (PC) and enriched bovine, caprine, and ovine MFGM fractions on ileal and hindgut microbiota in vitro. Digestion of PC and MFGMs was conducted using an in vitro model based on infant gastric and small intestine conditions. The recovered material was then in vitro fermented with ileal and caecal inocula prepared from five piglets fed a commercial formula for 20 days before ileal and caecal digesta were collected. After each fermentation, samples were collected to determine organic acid production and microbiota composition using 16S rRNA sequencing. All substrates, except PC (5%), were primarily fermented by the ileal microbiota (8–14%) (P < 0.05). PC and caprine MFGM reduced ileal microbiota alpha diversity compared to ileal inoculum. Caprine MFGM increased and PC reduced the ileal ratio of firmicutes:proteobacteria (P < 0.05), respectively, compared to the ileal inoculum. Bovine and ovine MFGMs increased ileal production of acetic, butyric, and caproic acids compared to other substrates and reduced the proportions of ileal proteobacteria (P < 0.0001). There was a limited fermentation of bovine (3%), caprine (2%), and ovine (2%) MFGMs by the caecal microbiota compared to PC (14%). In general, PC and all MFGMs had a reduced effect on caecal microbiota at a phylum level although MFG source-specific effects were observed at the genus level. These indicate that the main effects of the MFGM in the intestinal microbial population appears to occur in the ileum.

Introduction

Milk fat is secreted from the mammary gland in the form of milk fat globules (MFG) composed of a triacylglycerol core covered by a trilayer membrane, the milk fat globule membrane (MFGM). The MFGM is a source of bioactive proteins, glycoproteins, and complex lipids known to improve body (1), brain (14), immune (5), and intestinal development (6, 7).

MFG are digested and absorbed in different areas of the intestinal tract, which affects the nutritional and functional role of the MFGM components. Initially, it was thought that MFGM components were digested and absorbed in the small intestine (8, 9). Recent studies, however, indicate that specific components of the bovine MFGM, such as glycoproteins, could reach the large intestine (10). In vitro digestion of MFGM components has mainly been tested using adult conditions (time, pH, and enzyme concentration) (11, 12). The infant's gastrointestinal tract is immature with suboptimal pH for digestive enzymes and lower concentrations of bile acids and enzymes (13, 14). This could reduce the digestion of MFGM components in the stomach and small intestine and, therefore, increase the amount of undigested MFGM reaching the large intestine.

Digestion of MFGM is affected by the MFGM structure and composition (15). Human and ruminant MFGMs share the same structure, but their different protein and lipid composition may affect digestion and functionality. For instance, proteomic analysis has identified 312, 554, 175, and 140 proteins in human, bovine, caprine, and ovine MFGM, respectively, of which only 87 proteins were common among these species (16, 17). Differences in the profile of complex lipids among MFGMs have also been reported. Phosphatidylcholine, phosphatidylethanolamine, and sphingomyelin, the three major constituents of MFGM polar lipids, account for 62–80% of the total phospholipids in human and bovine MFGM and 90% in ovine and caprine MFGMs (1822). Thus, differences in MFGM composition may lead to different rates of digestion (15), absorption, and subsequently, different portions of the MFGM reaching the lower small intestine (ileum) prior to being released into the large intestine, where they are available for microbial fermentation.

The effects of a commercial bovine MFGM concentrate, known as phospholipid concentrate (PC), on large intestinal mucosa, microbial profile, and organic acid concentration were recently demonstrated using animal models (6, 23, 24). Bhinder et al. (6), using a “pup-in-a-cup” rat model (5–15 post-natal days of age), show that addition of PC to infant formula restored small and large intestinal growth, microbial composition, Paneth and goblet cell numbers, and tight-junction protein patterns to conditions found in pups fed maternal milk. Another study (24) shows that a combination of PC and prebiotics improved small (duodenum, jejunum, ileum) and large intestinal (ascending colon) maturation (e.g., greater enzymatic activity) and reduced opportunistic bacteria (Escherichia/Shigella, Klebsiella) in piglets compared to those fed a control formula.

Recent studies demonstrate that the ileum harbors a significant population of microbes (25) and is associated with variable retention times (72–392 min in healthy individuals) (26), which may have an important role on fermenting undigested food components prior to the large intestine (27). It has been reported, for example, that close to 30% of the digesta entering the ileum of pigs fed a humanized diet was fermented in the ileum (27). In another study, 80% of soluble kiwifruit fiber was fermented in the upper gastrointestinal tract of pigs (28), and this occurred mainly in the ileum. In human adults, a considerable degree of fiber fermentation has also been reported in the upper gastrointestinal tract [47% for pectin (29), 66% for a resistant starch (30)]. Therefore, we hypothesized that dietary bovine, caprine, and ovine MFGMs differently modulate the ileal and caecal microbiota population, resulting in different fermentation end products.

This study aimed to determine the effect of PC and enriched bovine, caprine, and ovine MFGM fractions on ileal and caecal microbiota and production of organic acids in vitro. In vitro gastrointestinal digestion of PC and MFGMs was conducted using conditions that modeled those in infants. The undigested material was then recovered and fermented in vitro with ileal inoculum (ileal fermentation) followed by caecal (proximal colonic fermentation) inoculum of formula-fed piglets. After each fermentation, samples were collected to determine organic acid production and microbial profile using 16S rRNA gene amplicon sequencing (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Study design.

Materials and Methods

Milk and Milk Fat Globule Membrane Enrichment Method

A commercial bovine PC product was donated by Tatua Co-operative Dairy Company Ltd., New Zealand. Tatua's PC was obtained by microfiltration of the liquid stream derived from the production of anyhydrous milk fat. Raw, non-homogenized bovine, caprine, and ovine milk were collected from local farms (Palmerston North, New Zealand) and refrigerated at 4°C until processing.

MFGM was enriched according to the method previously described (31) with some modifications. The raw milk was centrifuged at 3,500 × g for 15 min at 4°C and the cream layer collected. The cream layer was washed once using phosphate-buffered solution (4.3 mM Na2HPO4, 2.7 mM KCl, 1.8 mM KH2PO4, and 137 mM NaCl) followed by tri-distilled water (twice for bovine milk and only once for caprine and ovine milk). Each washing step was followed by centrifugation at 4,500 × g for 20 min at 4°C. Tri-distilled water was added to the cream sample (1:1 v/v) and stirred for 10 min at 50°C in a water bath. The mixture was then sheared using a kitchen mixer (Kenwood Kitchen machine, KMC 510, 1000W, Auckland, NZ), for 10 min at speed 2 to release the fat from the cream. The fat fraction was separated from the MFGM material by centrifugation at 12,000 × g for 30 min at 4°C. After removing the fat fraction and aqueous phase, the pellet was freeze-dried and stored at −20°C.

Digestion

MFGM and PC were digested following the in vitro static Infogest model (32) with modifications (pH, enzyme concentration, and time) to represent those found in 5-months-old infants (14). Simulated digestion fluids [such as simulated salivary fluids (SSF), simulated gastric phase solution, and small intestinal phase solution (SIF)] were made up of the corresponding electrolyte stock solutions [containing KCl, KH2PO4, NaHCO3, NaCl, MgCl2(H2O)6, and (NH4)2CO3], enzymes, CaCl2, and water as described in Minekus et al. (32).

Oral Phase

Dry MFGM or commercial PC treatment samples (5 g) were mixed with 3.5 mL of SSF (pH 7) (32). Salivary α-amylase solution (0.5 mL, 960 U/mL α-amylase from human saliva Type XIII-A; A1031, Sigma, St. Louis, MO, USA, made up in SSF) was added, followed by 25 μL of 0.3 M CaCl2 and water to a final volume of 10 mL. All reagents were pre-warmed to 37°C before being mixed with MFGM or PC samples. Immediately after mixing, the gastric phase digestion was conducted as milk is swallowed without mastication.

Gastric Phase

The total oral digested sample was mixed with 7.5 mL of SGF (pH 6) (32), 1 mL porcine pepsin (2,000 U/mL; P6887, Sigma, made up in SGF), 1 mL gastric lipase (800 U/mL; 62305, Sigma, made up in SGF), 5 μL of 0.3 M CaCl2, and water to a final volume of 20 mL. The digestion solution was incubated at 37°C for 1.5 h with the first hour at pH 6 followed by pH 5.

Intestinal Phase

The total gastric digested sample was neutralized by adjusting the pH to 6.5. The neutralized sample was then mixed with 11 mL of SIF (32), 2.5 mL of bile salts stock (16 mM; B8756, Sigma), 40 μL of 0.3 M CaCl2, and water to a final volume of 40 mL. The solution was incubated for 10 min at 37°C with shaking. Pancreatin solution (5.0 mL, 800 U/mL, based on trypsin activity (P1750, Sigma, made up in SIF) was then added to the solution and incubated at 37°C for 2 h. Digestion was stopped by putting the samples on ice prior to dialysis. The small intestinal sample was then dialyzed against deionized water (Spectra, New Brunswick, USA, CE Membrane 100–500 MWCO 31 mm width, 20 mm diameter) for 24 h at 4°C. After dialysis, the samples remaining inside the dialysis tubes (i.e., undigested fraction) were freeze-dried and stored at −20°C. Dialysis is often used as a simulation model for the absorption of free amino acids and small peptides (di- or tripeptides) in the small intestine (10). After in vitro digestion and dialysis, the recovered material was calculated as:

Recovery material (%)=((Ci-Cf )*100)Ci,

where Ci and Cf are the amounts of digested material added to the dialysis tube and recovered after dialysis, respectively.

Fermentation

All procedures involving animals were approved by the Grasslands Animal Ethics Committee under the New Zealand Animal Welfare Act 1999 (AEC#12997). Five male piglets 11 days old were used. During acclimatization (4 days), piglets were housed together and fed a bovine-based infant formula. Thereafter, piglets were housed individually for 16 days. The bovine-based infant formula (51.3% protein, 36.2% fat, 5.2% ash, 1.5% moisture) (Fonterra, Palmerston North, New Zealand) was provided ad libitum every 4 h during the whole study. On post-natal day 31 (11 days old on arrival and 20 days of study), piglets were euthanized and ileal (last 30 cm of the small intestine) and caecal digesta were collected in plastic bags previously flushed with CO2 (to maintain anaerobic conditions) and kept on ice until fermentation (27).

The pig ileal and caecal inocula were prepared in an anaerobic cabinet. Ileal and caecal digesta were pooled (to reach the volume necessary to ferment all substrates) in similar amounts between piglets and homogenized (1:5, w/v) with a sterilized and anaerobic phosphate buffer saline solution (PBS, 0.1 M + 0.5 g/L cysteine) at pH 7 for ileum and pH 6.5 for caecum. The initial pH (pH 7 for ileum and pH 6.5 for caecum) was determined by measuring the pH in the animal ileum and caecum at the time digesta samples were collected. The pH at the end of the fermentation was not determined. Inoculum was filtered through sterilized layers of cheesecloth and stirred constantly. Ileal inoculum (5 mL) was added first to sterilized McCartney bottles containing 5 mL PBS (blank) or 5 mL PBS containing 100 mg of freeze-dried substrate (digested bovine, caprine, or ovine MFGMs, PC, or undigested citrus pectin). Citrus pectin (Spectrum Chemical, New Brunswick, USA), a highly fermentable dietary fiber, was used as a fermentation control (Figure 1). Pectin was not in vitro digested previously to the fermentation as mammalian enzymes do not cleave pectin. Thus, citrus pectin (100 mg) was fermented directly with the ileal inoculum.

Blanks (inoculum and PBS) were divided into initial and final blank. PBS was used in blanks as a high concentration of ileal and caceal digesta has been shown to provide nitrogen and minerals required by the microbiota (27). Initial blanks were kept on ice until processing, and final blanks were incubated at 37°C for 2 h for ileal or 12 h for caecal fermentation (Figure 1).

Twelve bottles per blank (initial and final) or per substrate were used (three technical replicates for each analysis). After 2 h of ileal fermentation, half of the bottles (n = 6) were removed from the incubation and kept on ice to reduce microbial activity. The remaining bottles were inoculated with the caecal inoculum using a pipette (5 mL, 1:5, w/v in PBS); initial caecal fermentation blanks were kept on ice or otherwise fermented for an additional 12 h (Figure 1). Half of the bottles (blanks and substrates) were placed in an autoclave (121°C for 20 min) to completely inactivate microbial fermentation and to remove the end products of organic matter fermentation (e.g., SCFA) before determination of fermentability. The other half of the bottles were thoroughly mixed, and an aliquot (1 mL) was collected into Eppendorf tubes. The Eppendorf tubes were centrifuged (14,000 × g for 15 min at 4°C) and the supernatant (0.5 mL) collected and stored at −20°C for subsequent determination of organic acids. The precipitate was used to determine the composition of the microbial population.

Organic matter fermentability of the MFGM substrates was calculated accordingly to Montoya et al. (33). In short,

Organic matter fermentabilityin vitro (%)                               =(OM(OMa(OMblank initial+OMblank final))2OMb×100,

where OMb and OMa are the amounts of organic dry matter in the substrate (undigested MFGM) either before or after in vitro fermentation. OMblank initial, OMblank final are the amounts of OM in the blank bottles (which contained inoculum but no substrate) before (initial) and after (final) in vitro fermentation, respectively.

Chemical Composition Analysis

Proteins

Samples of MFGMs and PC before and after digestion were resuspended in water and protein concentration determined by Qubit Protein Assay (ThermoFisher, Auckland, New Zealand). The protein concentration in bovine, caprine, and ovine MFGMs and PC before and after in vitro digestion was adjusted to 1.6 mg/mL. The samples were further diluted (1:1) in 2 × Laemmli sample buffer (5% β-mercaptoethanol) (Bio-Rad Laboratories, Inc., Hercules, CA, USA), denatured by heating at 95°C for 5 min, and centrifuged at 2,500 × g for 30 min at 4°C. Samples (10 μL) with a total protein concentration of 8 μg were then loaded onto SDS-PAGE gels (4–15% Mini-PROTEAN® TGX™ Precast Protein Gels, Bio-Rad Laboratories). A molecular weight (MW) marker (Precision Plus Protein Unstained Standards 3.5–260 kDa; Bio-Rad Laboratories) was used. The gels were electrophoresed in a mini-protein system (Bio-Rad Laboratories) at 110 V using a Bio-Rad power supply unit for 50 min. The SDS gels were stained for 1 h by Coomassie Brilliant Blue R-250 staining solution (Bio-Rad Laboratories) and destained overnight. Putative identification of proteins was conducted based on the estimated MW of the bands and the MW reported for each protein in previous studies for bovine (34, 35), caprine (36), and ovine (16) MFGMs. To visualize glycoproteins, other SDS-PAGE gels were loaded as described above but using a glycoprotein MW marker (CandyCane™) (ThermoFisher P21857) and a total protein concentration of 5 μg. Glycoproteins were stained using Pro-Q® Emerald 300 Glycoprotein Gel and Blot Stain Kit (ThermoFisher P21857) as per supplier instructions.

Lipid Profile

Lipid extraction and phospholipid analysis were conducted as previously described (37, 38). Total fatty acid analysis was conducted by rinsing the samples of MFGM and PC before and after digestion with 1:1 chloroform methanol and drying prior to methylation. The samples were then methylated in a two-stage process. First, 1.5 mL of 0.5 M NaOH in methanol was added to the samples and incubated for 10 min at 80°C. Second, 2.5 mL of boron trifluoride complex in methanol (10%) was added to the samples and incubated for 30 min at 80°C. After cooling, the fatty acid fraction was extracted by adding 1 mL of iso-octane to the mixture and vortexed, followed by 5 mL of saturated NaCl, which was mixed by shaking for 30 s by hand. The sample was centrifuged (500 × g for 10 min) and the iso-octane layer transferred to a vial. The extraction was repeated a second time with 1 mL of iso-octane and combined with the first fraction. Samples (1 μL) were injected onto a Polar FAME (Restek RTX 2330 column, 105 m × 0.25 mm i.d, 0.20 μm film thickness; Restek Corporation, Bellefonte, USA), and fatty acid profiles were analyzed by gas chromatography (GC).

Organic Acid Detection

The preparation of samples for organic acid analysis was a two-step procedure. In the first step, organic acids were extracted into an aqueous solution for GC Flame Ionization Detection (GC-FID). GC-FID analysis of acetic, butyric, propionic, valeric, iso-valeric, iso-butyric, and caproic acids were conducted (39). The second step was an ether extraction followed by derivatization with N-methyl-N-t-butyl-dimethyl-silyl-trifluoroacetamide (Sigma-Aldrich) for GC analysis of lactic, formic, and succinic acids. These latter three organic acids have to be derivatized because formic acid responds poorly to FID, and lactic and succinic acids both have low volatility and high polarity (40). In short, 100 μL concentrated HCl and 800 μL diethyl ether were mixed vigorously with 200 μL of acidified fermented medium fluid supernatant containing the internal standard, 2-ethyl butyric acid (W242918, Sigma-Aldrich). After allowing the mixed sample to settle for 1 min, the top ether layer was transferred into a 2-mL vial. This extraction process was repeated by adding a further 800 μL diethyl ether to the aqueous phase of the first vial. The two extracts were then combined. The extract (800 μL) was derivatized with 100 μL of derivatization reagent with N-methyl-N-t-butyl-dimethyl-silyl-trifluoroacetamide and heated in a crimp-top GC vial for 20 min at 80°C. Samples were left at room temperature for ~48 h to allow for complete derivatization of lactic acid.

The analysis was carried out using a Shimadzu GC-2010 Plus gas chromatogram (Shimadzu Corporation, Kyoto, Japan) with helium ionization detector and a Zebron ZB-5MS 30 m × 0.25 mm I.D. × 0.25 μm film capillary column. A split injection of a 1 μL sample was made at a ratio of 20:1 with a column helium flow rate of 21 mL/min. Injector and detector temperatures were both 240°C. The column temperature was initially held at 50°C for 2 min and then increased at 5°C/min to 130°C, followed by 15°C/min to 240°C (held for 4.7 min).

Microbial Profile

Microbial DNA was extracted from pellets using Machey Nagel NucleoSpin Soil kits (Macherey-Nagel, Duren, Germany) following the manufacturer's instructions with the addition of a bead-beating step using a BioSpec Mini-Beadbeater 96 set to 4 min and 0.1 mm silica beads (BioSpec, Bartlesvile, USA). DNA samples were analyzed by 16S rRNA gene amplicon sequencing using the Illumina MiSeq Platform with 2 × 250 bp paired-end sequencing. Primers targeting the V3 and V4 region of the 16S rRNA gene were used for amplification as follows: forward primer: 5′-TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGCCTACGGGNGGCWGCAG; reverse primer: 5′-GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGGACTACHVGGGTATCTAATCC.

PCR thermal cycler conditions were used as specified in the Illumina library preparation protocol (95°C for 3 min; 25 cycles of 95°C for 30 s, 55°C for 30 s, 72°C for 30 s; 72°C for 5 min; hold at 4°C; Illumina 2015). Sequence reads were paired and quality trimmed using Qiime 1.9 (41) with the default parameters except for the following: chimeric sequence removal and OTU picking was performed using Usearch61 and taxonomy assigned against the Silva 128 small subunit ribosomal RNA database. Following quality trimming, the median number of reads was 29,295 with a minimum of 13,019, maximum of 51,579, and a standard deviation of 9,315. Alpha diversity was assessed using Faith's phylogenetic diversity indices and differences between means analyzed by ANOVA.

Statistical Analysis

Overall microbial communities were compared using permutation multivariate analysis of variation (MANOVA) using distance matrices as implemented using the adonis function in the vegan package for R (42). Comparisons of relative abundances for individual taxa were performed by permutation ANOVA using the aovp function in the lmPerm package (43) for R. P-values were adjusted for multiple testing using the Benjamini–Hochberg false discovery rate (FDR) method. Fisher's LSD test was used for post-hoc pairwise analysis.

A two-way ANOVA model was used to determine the effects of MFGMs/PC (n = 4), inoculum (n = 2), and the interaction on OM fermentability using the Proc Mixed of the statistical software SAS. For organic acid production, a one-way ANOVA model was used. The model diagnostics for each response variable were tested using the ODS graphics procedure and the repeated statement of SAS. The repeated statement was used to test for homogeneity of variances by fitting models with the restricted maximum likelihood method and comparing using the log-likelihood ratio test. The selected model for each response variable had adjusted equal variances across treatments. When the F value of the model was significant (P ≤ 0.05), the means were compared using the adjusted Tukey test.

Results

Milk Fat Globule Purification and Composition

The enrichment method increased the concentration of proteins putatively identified in Figure 2 as part of the MFGM [mucin 1 (250–450 kDa), xanthine oxidase (band a), PAS III (band b), CD36 (band c), butyrophilin (band d), adipophilin and/or lactadherin (PAS 6/7; 52–58 kDa bovine, 55 kDa caprine) (band e or f), compared to bovine (lanes 2 and 3), caprine (lanes 4 and 5), and ovine lanes 6 and 7)] milk. Skim milk proteins (caseins, bands g–i) and whey proteins (β-lactoglobulin, α-lactalbumin, band j and l) were observed in all MFGM samples after enrichment. Based on band intensity, a higher proportion of caseins was observed in commercial PC (lane 1) compared to purified bovine MFGM (lane 3). Total protein concentration in PC and purified bovine, caprine, and ovine MFGMs were 45.1, 25.3, 22.7, and 22.2%, respectively (Table 1).

FIGURE 2
www.frontiersin.org

Figure 2. SDS-PAGE pattern of milk fat globule membrane (MFGM) proteins in milk and MFGM purified before and after digestion. MW, molecular weight marker (KDa). The MFGM proteins are from phospholipid concentrated (lane 1), bovine milk (lane 2), bovine MFGM (lane 3), caprine milk (lane 4), caprine MFGM (lane 5), ovine milk (lane 6), ovine MFGM (lane 7), material remaining after digestion for bovine MFGM (lane 9), caprine MFGM (lane 10), ovine MFGM (lane 11), and phospholipid concentrated (line 12). Proteins were identified accordingly with MW as (a) xanthine oxidase (~145 kDa), (b) PAS III (~100 kDa), (c) CD36 (~75 kDa), (d) butyrophilin (64 kDa bovine, 67 kDa caprine), (e) or (f) adipophilin (50–52 kDa) or lactadherin (PAS 6/7; 52–58 kDa bovine, 55 kDa caprine), (g) α-caseins (~22–25Kda), (h) β-caseins (~23–24 kDa), (i) κ-caseins (~19 kDa), (j) β-lactaglobulin (~18 kDa), and (l) α-lactalbumin (~14 kDa).

TABLE 1
www.frontiersin.org

Table 1. Protein and lipid composition (%) of phospholipid concentrated (PC) and purified milk fat globule membrane from bovine, caprine, and ovine before and after infant simulated in vitro digestion.

After in vitro digestion and dialysis, the recovered material (content remaining in the dialysis tube) was 59, 35, 15, and 47% of the original PC, bovine, goat, and sheep MFGM, respectively. The SDS-PAGE pattern of MFGM after digestion showed only a small number of uncharacterized protein bands with a MW similar to PAS III and CD36 in bovine, ovine, and caprine MFGM samples but not in PC (Figure 2, lanes 10–13, respectively). The total protein in the recovered digested MFGM was 3.2, 4.2, 4.5, and 6.3% for PC, bovine, caprine, and ovine, respectively (Table 1).

The SDS-PAGE pattern of glycoproteins in milk, enriched MFGM samples, and PC (before and after digestion) are shown in Figure 3. Bands were putatively identified, based on MW, as xanthine oxidase, PAS III, CD36, butyrophilin, and lactadherin. After gastrointestinal digestion, a large proportion of glycoproteins were observed (lanes, 2, 5, 8, and 11), especially with lower MW than the parent glycoproteins observed in the intact MFGM (lanes, 1, 4, 7, and 10).

FIGURE 3
www.frontiersin.org

Figure 3. SDS-PAGE pattern of milk fat globule membrane (MFGM) glycoproteins in milk and MFGM purified before and after digestion. MW, molecular weight marker. The MFGM proteins are from phospholipid concentrate (lane 1), digested phospholipid concentrate (lane 2), bovine milk (lane 3), bovine MFGM (lane 4), digested bovine MFGM (lane 5), caprine milk (lane 6), caprine MFGM (lane 7), digested caprine MFGM (lane 8), ovine milk (lane 9), ovine MFGM (lane 10), and digested ovine MFGM (line 11). Proteins were identified accordingly with MW as (a) xanthine oxidase (~145 kDa), (b) PAS III (~100 kDa), (c) CD36 (~75 kDa), (d) butyrophilin (64 kDa bovine, 67 kDa caprine), (e) lactadherin (PAS 6/7; 52–58 kDa bovine, 55 kDa caprine).

The total polar lipid content in PC, bovine, caprine, and ovine MFGM was 5.2, 4.2, 5.8, and 3.0%, respectively (Table 1). Phosphatidylcholine was the most concentrated phospholipid in PC (1.7%), bovine (1.5%), and caprine (1.9%) enriched MFGM and sphingomyelin was for ovine MFGM (1.4%). For all samples, the concentration of polar lipids was reduced after digestion to 1.0–2.1% of total lipids.

Palmitic acid (C16) and the fatty acids C18:1c9, C:18, and C14 were the most abundant fatty acids in PC (23, 29, 12, and 8%), bovine (29, 16, 17, and 11%), caprine (32, 19, 16, and 9%) and ovine (25, 20, 17, and 8%) MFGM fractions, respectively (Table 2). Digestion of PC, bovine, caprine, and ovine MFGM fractions had a small effect (≤ 10% variation) on the proportions of the fatty acids C18:2n6, C15:0, C20:3n6, C9 t11-CLA, iso C17, iso C16, C20:0, anteiso C17, C17:1, and C16:0. In contrast, a reduction of ≥65% on the proportion of the medium chain fatty acids (MCFA) (C10:0, C12:0) and C14:1 was observed after the digestion of all samples.

TABLE 2
www.frontiersin.org

Table 2. Fatty acid profile (% of total fatty acidsa) of phospholipid concentrated (PC) and purified milk fat globule membrane (MFGM) from bovine, caprine, and ovine before and after infant simulated in vitro digestion.

Ileal and Caecal Fermentation

There was a significant interaction between the location of fermentation (i.e., inoculum) and the substrate (i.e., digested MFGMs) on the organic matter fermentability (P < 0.05; Table 3). All substrates, except PC, were primarily fermented by the ileal microbiota (P < 0.05). As expected, pectin had the highest ileal and caecal fermentability (28 and 31%, respectively, P < 0.05) compared to bovine (ileal, 7.7% and caecum, 11.2%), caprine (8.8 and 10.6%), ovine (14.0 and 16.2%), MFGMs and PC (5.5 and 19.3%).

TABLE 3
www.frontiersin.org

Table 3. In vitro ileal and caecal organic matter (OM) fermentability of digested bovine, caprine, and ovine milk fat globule membrane (MFGM); phospholipid concentrate (PC); and pectin substrates in piglets.

After 2 h of ileal microbiota incubation at 37°C, a decrease in the proportions of Fusobacteria was observed in the final blank compared to the initial blank (Table 4). At the genus level, higher unclassified Peptostreptococcaceae and lower proportions of Turicibacter and Fusobacterium genera were observed in the final blank compared to the initial blank (Table 5). Incubation of digested ovine and bovine MFGM fractions for 2 h had no effect on ileal microbial alpha diversity (Figure 4A) but increased the firmicutes:proteobacteria ratio (Table 4) compared to the initial and final blanks.

TABLE 4
www.frontiersin.org

Table 4. Relative abundances of bacteria at the phylum level for the piglet's ileal inoculum (initial blank) and after 2 h of incubation alone (final blank) or with bovine, caprine, and ovine MFGM; phospholipid concentrate (PC); and pectin substrates.

TABLE 5
www.frontiersin.org

Table 5. Relative abundances of significant bacteria classified to the lowest identified taxonomic level in the piglet's ileal inoculum (initial blank) and after 2 h of incubation alone (final blank) or with bovine, caprine, and ovine MFGM; phospholipid concentrate (PC); and pectin substrates.

FIGURE 4
www.frontiersin.org

Figure 4. Microbial alpha-diversity after 2 h in vitro ileal fermentation (A) followed by 12 h of in vitro caecal fermentation (B) of undigested bovine, caprine, ovine milk fat globule membrane (MFGM), and phospholipid concentrate (PC) in piglets. Pectin was used as a fermentation control. Values are presented as mean ± standard deviation. Means within each without a common letter differ, P ≤ 0.05.

PC and caprine MFGMs reduced the ileal microbial alpha diversity compared to blanks and bovine and ovine MFGMs (Figure 4A). Although PC maintained the ratio of firmicutes:proteobacteria to the levels observed in the initial blank (Table 4), caprine MFGM increased the ratio of firmicutes:proteobacteria compared to the initial and final blanks (Table 4). In general, PC reduced the proportions of unclassified Peptostreptococcaceae, unclassified Clostridiales, Veillonella, Lactobacillus, Prevotella, and Rothia and increased the proportions of unclassified Enterobacteriaceae, Turicibacter, and Escherichia/Shigella compared to the other substrates and the final blank (Table 5). In general, caprine MFGM increased Streptococcus and decreased Prevotella genera compared to both blanks and other substrates. Bovine, caprine, and ovine MFGMs decreased the proportions of Escherichia/Shigella genera and unclassified Enterobacteriaceae compared to the final blank.

A higher concentration of acetic acid was produced by ileal microbiota fermenting ovine MFGM, whereas higher concentrations of butyric and caproic acids were produced when fermenting bovine and ovine MFGMs (Table 6) compared to other substrates. Formic and lactic acid production did not differ between the different types of digested MFGMs (P > 0.05).

TABLE 6
www.frontiersin.org

Table 6. Organic acid production (mmol/kg incubated substrate) after in vitro ileal fermentation of digested bovine, caprine, and ovine milk fat globule membrane (MFGM); phospholipid concentrate (PC); and pectin (control substrate).

Incubation of the caecal inoculum (initial blank) for 12 h reduced the alpha-diversity (final blank) (Figure 4B) and changed microbial composition as observed in the principal coordinates analysis (PCoA; Figures S1–S3). An increased firmicutes:proteobacteria ratio was observed in the final blank compared to the initial blank (Table 7). At the genus level, higher unclassified Peptostreptococcaceae, unclassified Lachnospiraceae, Clostridium, Oscillibacter, Turicibacter, Caprococcus, and unclassified Clostridia genera and lower proportions of Escherichia/Shigella, unclassified Ruminococcaceae, Prevotella, Megasphaera, Bacteroides, unclassified Prevotellaceae, and Fusobacterium genera were observed in the final blank compared to the initial blank (Table 8).

TABLE 7
www.frontiersin.org

Table 7. Relative abundances of bacteria at the phylum level in the piglet's caecal microbiota inoculum (initial blank) and after 12 h of incubation alone (final blank) or with bovine, caprine, and ovine MFGM; phospholipid concentrate (PC); and pectin substrates.

TABLE 8
www.frontiersin.org

Table 8. Relative abundances of significant bacteria classified to the lowest identified taxonomic level in the piglet's caecal microbiota inoculum (initial blank) and after 12 h of incubation alone (final blank) or with bovine, caprine, and ovine MFGM; phospholipid concentrate (PC); and pectin substrates.

In general, after 12 h of incubation with caecal inoculum, PC and all MFGMs had no effect of caecal microbiota diversity (Figure 4B) and composition (phylum; Table 7), and genus (Table 8) compared to the final blank. Some MFG source-specific effects were observed. For instance, ovine MFGM increased the proportions of Escherichia/Shigella, Oscillobacter, Fusobacteria, Bacteroides genera, and unclassified Clostridia and decreased the proportions of unclassified Ruminococcaceae, Prevotella, Blautia Lactobacillus, and Clostridium genera compared to the final blank. PC and caprine MFGM increased the proportions of unclassified Clostridiales, whereas caprine MFGM also increased the proportions of Oscillobacter and Fusobacteria compared to the final blank. Higher concentrations of butyric acid were found in the caecal fermentation when incubated with ovine and bovine MFGM compared to other substrates (Table 9).

TABLE 9
www.frontiersin.org

Table 9. Organic acid production (mmol/kg incubated substrate) after in vitro ileal and caecal fermentation of undigested bovine, caprine, ovine milk fat globule membrane (MFGM); phospholipid concentrate (PC); and pectin (control substrate).

Discussion

In this study, bovine, caprine, and ovine MFGM-enriched fractions were digested with gastric and small intestine enzymes simulating the infant GIT prior to being fermented by ileal and caecal microbiota from piglets fed an infant formula from 11 to 31 days post-natally. As stated in the study's hypothesis, fermentation of MFGM substrates produced organic acids and changed the ileal and caecal microbiota composition in an MFG source-specific manner.

The enriched MFGM fraction obtained in this study contained proteins and polar lipids characteristic of the native MFGM as previously reported for bovine (44), caprine (36), and ovine milk (16). The molecular diversity of lactadherin, for example, was observed in the SDS-PAGE gel with one band identified for caprine and ovine MFGMs and two for bovine MFGM (ranging from 52 to 58 kDa) (45). Higher glycosylation of caprine xanthine oxidase compared to bovine xanthine oxidase may have led to the observation of a xanthine oxidase band in SDS-PAGE gel stained with ProQ Emerald (Figure 3, Lane 7 and band a), which has been described elsewhere (36). The composition of commercial PC was different from bovine MFGM with an increased concentration of total proteins and polar lipids, in particular, caseins and phosphatidylserine. Differences in composition between commercial PC and bovine MFG are likely due to variations in enrichment methodology and composition of starting material (46).

This study is the first to report the digestion of a bovine, caprine, and ovine MFGM-enriched fractions using an in vitro model with enzymatic concentrations, time of incubation, and pH adapted to simulate conditions found in 5-months old infants (14). Caprine MFGM had a lower recovery after digestion and dialysis (15%) compared to other substrates (35–49%), probably due to a low concentration of both total protein and total lipids in the purified caprine MFGM.

The SDS-PAGE profiles of PC, bovine, caprine, and ovine MFGMs after digestion were similar to the reported data for bovine MFGM digestion using an adult in vitro model (10, 15). Different levels of proteolysis after MFGM digestion may be explained by the MFG source-specific profile and concentration of MFGM proteins, especially glycoproteins, in the start material (16, 17, 45). Indeed, a different band pattern in the ProQ-Emerald stained SDS-PAGE gel was observed after the digestion of MFGMs from different sources (bovine, caprine, and ovine). Previous studies using adult in vitro digestive conditions showed that MFGM glycoproteins (i.e., butyrophilin, xanthine oxidase, PAS6/7, and mucins) were hydrolyzed to different extents (9, 10). Mucin 1 had the highest resistance to digestion compared to other glycoproteins (i.e., butyrophilin), and a part of this protein was still detected with the original MW after gastric and small intestine digestion (10). Human milk N-glycans were also shown to resist gastrointestinal digestion and were detected in infant stools (47).

Recently, the INFOGEST 2.0 in vitro gastrointestinal food digestion method recommended the use of rabbit gastric lipase due to its similar stereospecificity for TAG hydrolysis when compared to human gastric lipase (48). At the time this study was performed, however, rabbit gastric lipase was not commercially available, and the fungal lipases from Rhizopus orizae were used. R. orizae lipase was shown to have greater lipolysis rate (46 vs. 10%) and be insensitive to FA chain length compared to human gastric enzyme, which released only C8:0 and C10:0 under both gastric and intestinal conditions (49).

To understand the effect of PC and enriched bovine, caprine, and ovine MFGM fractions on ileal and caecal microbiota and production of organic acids, piglet ileal and cacecal inoculum were used to ferment the material remaining after in vitro digestion of PC, bovine, caprine, and ovine MFGM preparations. In these in vitro assays, PBS was used to homogenize the microbiota instead of nutritive medium used by some authors (50). The PBS is used when a high concentration of feces is used. This high concentration provides the nitrogen and minerals required by the microbiota (51), which must be provided in a nutritive medium when small amount of feces (or cultures) are used. In all our in vitro fecal fermentation studies, we have followed the PBS approach to avoid any confounding effect of adding nutrients in a different amount (or ratio) to that in ileal and hindgut (27).

In vitro ileal organic matter fermentation for MFGM substrates showed different fermentability, ranging from 6 to 14%, whereas pectin was higher (28%). Despite the high ileal OM fermentability of pectin, this fermentation produced the lowest concentration of organic acids compared to MFGM and PC. This may indicate fermentation products not measured in this study (e.g., pyruvic acid) could have been produced during pectin fermentation in greater amounts before being converted to other organic acids (e.g., lactic acid) later in the fermentation (52).

In general, Ileal microbiota had substantial proportions of Turibacter and Streptococcus, which are known lactate producers (53, 54) and may explain the link between ileal lactate and microbiome composition. Bovine and ovine MFGMs produced higher concentrations of acetic, butyric, and caproic acids with limited effects on the ileal microbiota composition. Increase concentration of actinobacteria and bacterioidetes, however, were observed after bovine and ovine MFGM ileal fermentation and may explain the increased concentration of acetic acid observed (55). Butyric acid are mainly produced by members of Clostridiaceae family (56), which were also increased after bovine and ovine MFGM fermentation compared to other substrates.

Bovine and ovine substrates reduced the proportions of ileal proteobacteria, which, at elevated levels, have been linked in other studies to dysbiosis (57, 58). Proteobacteria are facultative anaerobes known to consume oxygen, altering the pH and lowering the redox potential, making the intestine suitable for colonization by strict anaerobes. Proteobacteria, in the neonatal small and large intestine, are affected by the type of feeding with a higher frequency of these bacteria in formula-fed infants compared to breast-fed infants [reviewed in (59)].

PC and caprine MFGMs had the largest effect on the ileal microbiota as observed by the reduced alpha diversity, clear separation in the principal coordinate analysis (Figure S1), and changes in the taxonomic composition compared to blanks and other substrates. Differences in composition found after digestion in PC (i.e., lower total protein and increased polar lipid concentration, in particular, sphingomyelin and MCFA) and caprine MFGM (lower total fat and polar lipids, in particular very long-chain fatty acids or VLCFA) may have led to the different effects observed in the ileal microbiota. We speculate that components of caprine MFGM and PC may have benefited more dominant members of the ileal microbiota, which consequently may have caused a decrease of rarer microbial taxa, decreasing alpha diversity. Caprine MFGM, for example, increased the ratio of firmicutes:proteobacteria, whereas PC reduced the proportions of unclassified Clostridiales, Prevotella, and/or Lactobacillus and increased the proportions of Enterobacteriaceae in the ileal microbiota compared to the initial and final blanks. These changes are consistent with the microbial profile observed in the ileal microbiota of piglets fed infant formula compared to piglets fed sow milk (60, 61). The relevance of these findings to human infants, however, still needs to be determined as studies on the ileal microbial in infants are still lacking. In one study, Barret at al. (62) reported that human infant's ileal microbiota is dominated by actinobacteria (94%) up to 40 days of life and then mostly by proteobacteria and firmicutes from 50 to 217 days of life (62).

Fermentation of the organic matter in bovine, caprine, and ovine MFGMs was relatively minor after ileal fermentation (~3% increased after ileal fermentation) although PC was greater (~14% after ileal fermentation). Thus, the total ileal–caecal in vitro fermentation ranged from 11% (bovine and caprine MFGM substrates) to 19% (PC). Although lower fermentability of organic matter was observed from the caecal microbiota, production of organic acids was observed for all substrates. This may be explained by (1) products of ileal fermentation (i.e., organic acids, glycans) being used by the caecal microbiota as a carbon source, (2) the presence of a larger array of caecal microbial enzymes that are able to degrade resistant non-dietary components (63, 64), and/or (3) longer time of fermentation. Increased concentration of butyric and caproic acids observed after caecal fermentation of bovine and ovine MFGM substrates may originate from ileal fermentation, which was inoculated with caecal microbiota. In contrast, acetate, succinate, and valeric acids, observed for all substrates, are known to be produced by specific microbes [i.e., Bacteroides spp., Prevotella spp. (65) and Clostridium spp (66)], which were present only in the caecal inoculum in the current study.

This study was not designed to demonstrate which specific component (protein, lipid, glycan) of the enriched MFGM from ruminant milks were responsible after in vitro gastrointestinal digestion for the effects observed in the ileal and caecal microbiota. However, changes in the proportions of bacterial genus observed in this study are likely due to the combination of fermentable substrates (e.g., glycans) and antimicrobial components (e.g., linolenic acid, C18:3, and polyunsaturated fatty acids or PUFAs) within the enriched MFGM fraction. After digestion, PC, for example, was enriched in sphingomyelin and unsaturated fatty acids (UFAs) compared to the other substrates. Unsaturated fatty acids with 18 carbon long chains—oleic acid (C18:1), linoleic (C18:2), and linolenic acid (C18:3)—have potent antibacterial activities against Gram-positive bacteria (67, 68). Degradation products of sphingomyelin, such as sphingosine, have shown bactericidal activities against E. coli and other pathogenic bacteria (69, 70).

In conclusion, the enriched MFGM fractions from bovine, caprine, and ovine milk contain proteins and polar lipids characteristic of the native MFGM. The material of the enriched MFGM fractions remaining after in vitro gastric and intestinal digestion, using infant conditions, were mainly fermented in vitro by the ileal microbiota, demonstrating the potential importance of ileal fermentation. Fermentation of the MFGM substrates produced organic acids and changed the proportions of the ileal and caecal microbiota in a MFG source-specific manner. Although this study was not designed to identify specific components of the digested MFGMs responsible for the effects on the ileal and caecal microbiota, they are likely to be a combination of fermentable substrates (glycans) and antimicrobial components of the MFGM. More studies are needed to further understand the effects of infant digestion on MFGM components and the in vivo effects of MFGM on the ileal and large intestinal microbiota.

Data Availability Statement

The datasets generated for this study can be found in NCBI SRA, NCBI Accession No. PRJNA610043.

Ethics Statement

The animal study was reviewed and approved by Grasslands Animal Ethics Committee under the New Zealand Animal Welfare Act 1999 (AEC#12997).

Author Contributions

CT, CM, NR, and WM designed the study. WY performed the in vivo study. CT and CM performed the in vitro study. CT supported by CM and WY analyzed the data and wrote the paper, which was reviewed by NR and WM. All authors contributed to the article and approved the submitted version.

Funding

This research was supported by the Riddet Institute, a New Zealand Centre of Research Excellence and the Strategic Science Investment Fund (SSIF) from the New Zealand Ministry of Business, Innovation and Employment (Intestinal Barrier Function Grant).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank Tatua Co-operative Dairy Company Limited for supplying the phospholipid concentrate.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2020.00091/full#supplementary-material

References

1. Vickers MH, Guan J, Gustavsson M, Krägeloh CU, Breier BH, Davison M, et al. Supplementation with a mixture of complex lipids derived from milk to growing rats results in improvements in parameters related to growth and cognition. Nutr Res. (2009) 29:426–35. doi: 10.1016/j.nutres.2009.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Liu H, Radlowski EC, Conrad MS, Li Y, Dilger RN, Johnson RW. Early supplementation of phospholipids and gangliosides affects brain and cognitive development in neonatal piglets. J Nutr. (2014) 144:1903–9. doi: 10.3945/jn.114.199828

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Guan J, MacGibbon A, Fong B, Zhang R, Liu K, Rowan A, et al. Long-term supplementation with beta serum concentrate (BSC), a complex of milk lipids, during post-natal brain development improves memory in rats. Nutrients. (2015) 7:4526–41. doi: 10.3390/nu7064526

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Mudd AT, Alexander LS, Berding K, Waworuntu RV, Berg BM, Donovan SM, et al. Dietary prebiotics, milk fat globule membrane, and lactoferrin affects structural neurodevelopment in the young piglet. Front Pediatr. (2016) 4:4. doi: 10.3389/fped.2016.00004

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Zanabria R, Tellez A, Griffiths M, Sharif S, Corredig M. Modulation of immune function by milk fat globule membrane isolates. J Dairy Sci. (2014) 97:2017–26. doi: 10.3168/jds.2013-7563

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Bhinder G, Allaire JM, Garcia C, Lau JT, Chan JM, Ryz NR, et al. Milk fat globule membrane supplementation in formula modulates the neonatal gut microbiome and normalizes intestinal development. Sci Rep. (2017) 7:45274. doi: 10.1038/srep45274

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Anderson RC, MacGibbon AK, Haggarty N, Armstrong KM, Roy NC. Bovine dairy complex lipids improve in vitro measures of small intestinal epithelial barrier integrity. PLoS ONE. (2018) 13:e0190839. doi: 10.1371/journal.pone.0190839

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ye A, Cui J, Singh H. Effect of the fat globule membrane on in vitro digestion of milk fat globules with pancreatic lipase. Int Dairy J. (2010) 20:822–9. doi: 10.1016/j.idairyj.2010.06.007

CrossRef Full Text | Google Scholar

9. Ye A, Cui J, Singh H. Proteolysis of milk fat globule membrane proteins during in vitro gastric digestion of milk. J Dairy Sci. (2011) 94:2762–70. doi: 10.3168/jds.2010-4099

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Le TT, Van de Wiele T, Do TNH, Debyser G, Struijs K, Devreese B, et al. Stability of milk fat globule membrane proteins toward human enzymatic gastrointestinal digestion. J Dairy Sci. (2012) 95:2307–18. doi: 10.3168/jds.2011-4947

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Gallier S, Cui J, Olson TD, Rutherfurd SM, Ye A, Moughan PJ, et al. In vivo digestion of bovine milk fat globules: effect of processing and interfacial structural changes. I Gastric digestion. Food Chem. (2013) 141:3273–81. doi: 10.1016/j.foodchem.2013.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Gallier S, Zhu XQ, Rutherfurd SM, Ye A, Moughan PJ, Singh H. In vivo digestion of bovine milk fat globules: effect of processing and interfacial structural changes. II Upper digestive tract digestion. Food Chem. (2013) 141:3215–23. doi: 10.1016/j.foodchem.2013.06.019

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Dupont D, Mandalari G, Molle D, Jardin J, Leonil J, Faulks RM, et al. Comparative resistance of food proteins to adult and infant in vitro digestion models. Mol Nutr Food Res. (2010) 54:767–80. doi: 10.1002/mnfr.200900142

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Bourlieu C, Menard O, Bouzerzour K, Mandalari G, Macierzanka A, Mackie AR, et al. Specificity of infant digestive conditions: some clues for developing relevant in vitro models. Crit Rev Food Sci Nutr. (2014) 54:1427–57. doi: 10.1080/10408398.2011.640757

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Gallier S, Ye A, Singh H. Structural changes of bovine milk fat globules during in vitro digestion. J Dairy Sci. (2012) 95:3579–92. doi: 10.3168/jds.2011-5223

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Pisanu S, Ghisaura S, Pagnozzi D, Biosa G, Tanca A, Roggio T, et al. The sheep milk fat globule membrane proteome. J Proteomics. (2011) 74:350–8. doi: 10.1016/j.jprot.2010.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Lu J, Wang X, Zhang W, Liu L, Pang X, Zhang S, et al. Comparative proteomics of milk fat globule membrane in different species reveals variations in lactation and nutrition. Food Chem. (2016) 196:665–72. doi: 10.1016/j.foodchem.2015.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Patton S, Keenan T. The milk fat globule membrane. Biochim Biophys Acta. (1975) 415:273–309. doi: 10.1016/0304-4157(75)90011-8

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Jandal J. Comparative aspects of goat and sheep milk. Small Rumin Res. (1996) 22:177–85. doi: 10.1016/S0921-4488(96)00880-2

CrossRef Full Text | Google Scholar

20. Spitsberg V. Invited review: bovine milk fat globule membrane as a potential nutraceutical. J Dairy Sci. (2005) 88:2289–94. doi: 10.3168/jds.S0022-0302(05)72906-4

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Dewettinck K, Rombaut R, Thienpont N, Le TT, Messens K, Van Camp J. Nutritional and technological aspects of milk fat globule membrane material. Int Dairy J. (2008) 18:436–57. doi: 10.1016/j.idairyj.2007.10.014

CrossRef Full Text | Google Scholar

22. Garcia C, Lutz NW, Confort-Gouny S, Cozzone PJ, Armand M, Bernard M. Phospholipid fingerprints of milk from different mammalians determined by 31P NMR: towards specific interest in human health. Food Chem. (2012) 135:1777–83. doi: 10.1016/j.foodchem.2012.05.111

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Snow DR, Ward RE, Olsen A, Jimenez-Flores R, Hintze KJ. Membrane-rich milk fat diet provides protection against gastrointestinal leakiness in mice treated with lipopolysaccharide. J Dairy Sci. (2011) 94:2201–12. doi: 10.3168/jds.2010-3886

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Berding K, Wang M, Monaco MH, Alexander LS, Mudd AT, Chichlowski M, et al. Prebiotics and bioactive milk fractions affect gut development, microbiota, and neurotransmitter expression in piglets. J Pediatr Gastroenterol Nutr. (2016) 63:688–97. doi: 10.1097/MPG.0000000000001200

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Villmones HC, Haug ES, Ulvestad E, Grude N, Stenstad T, Halland A, et al. Species level description of the human ileal bacterial microbiota. Sci Rep. (2018) 8:4736. doi: 10.1038/s41598-018-23198-5

PubMed Abstract | CrossRef Full Text

26. Maurer AH, Krevsky B. Whole-gut transit scintigraphy in the evaluation of small-bowel and colon transit disorders. Semin Nucl Med. (1995) 25:326–38. doi: 10.1016/S0001-2998(95)80006-9

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Montoya CA, de Haas ES, Moughan PJ. Development of an in vivo and in vitro ileal fermentation method in a growing pig model. J Nutr. (2018) 148:298–305. doi: 10.1093/jn/nxx038

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Montoya CA, Rutherfurd SM, Moughan PJ. Nondietary gut materials interfere with the determination of dietary fiber digestibility in growing pigs when using the Prosky method. J Nutr. (2015) 145:1966–72. doi: 10.3945/jn.115.212639

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Holloway WD, Tasman-Jones C, Maher K. Pectin digestion in humans. Am J Clin Nutr. (1983) 37:253–5. doi: 10.1093/ajcn/37.2.253

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Danjo K, Nakaji S, Fukuda S, Shimoyama T, Sakamoto J, Sugawara K. The resistant starch level of heat moisture-treated high amylose cornstarch is much lower when measured in the human terminal ileum than when estimated in vitro. J Nutr. (2003) 133:2218–21. doi: 10.1093/jn/133.7.2218

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Ji X, Li X, Ma Y, Li D. Differences in proteomic profiles of milk fat globule membrane in yak and cow milk. Food Chem. (2017) 221:1822–7. doi: 10.1016/j.foodchem.2016.10.097

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Minekus M, Alminger M, Alvito P, Ballance S, Bohn T, Bourlieu C, et al. A standardised static in vitro digestion method suitable for food–an international consensus. Food Funct. (2014) 5:1113–24. doi: 10.1039/C3FO60702J

CrossRef Full Text | Google Scholar

33. Montoya CA, Rutherfurd SM, Moughan PJ. Kiwifruit fibre level influences the predicted production and absorption of SCFA in the hindgut of growing pigs using a combined in vivoin vitro digestion methodology. Br J Nutr. (2016) 115:1317–24. doi: 10.1017/S0007114515002883

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Le TT, Van Camp J, Rombaut R, van Leeckwyck F, Dewettinck K. Effect of washing conditions on the recovery of milk fat globule membrane proteins during the isolation of milk fat globule membrane from milk. J Dairy Sci. (2009) 92:3592–603. doi: 10.3168/jds.2008-2009

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Zheng H, Jiménez-Flores R, Everett DW. Bovine milk fat globule membrane proteins are affected by centrifugal washing processes. J Agric Food Chem. (2013) 61:8403–11. doi: 10.1021/jf402591f

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Cebo C, Caillat H, Bouvier F, Martin P. Major proteins of the goat milk fat globule membrane. J Dairy Sci. (2010) 93:868–76. doi: 10.3168/jds.2009-2638

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Bligh EG, Dyer WJ. A rapid method of total lipid extraction and purification. Can J Biochem Physiol. (1959) 37:911–7. doi: 10.1139/o59-099

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Reis MG, Roy NC, Bermingham EN, Ryan L, Bibiloni R, Young W, et al. Impact of dietary dairy polar lipids on lipid metabolism of mice fed a high-fat diet. J Agric Food Chem. (2013) 61:2729–38. doi: 10.1021/jf303795b

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Attwood GT, Klieve AV, Ouwerkerk D, Patel BKC. Ammonia-hyperproducing bacteria from New Zealand ruminants. Appl Environ Microbiol. (1998) 64:1796–804. doi: 10.1128/AEM.64.5.1796-1804.1998

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Richardson AJ, Calder AG, Stewart CS, Smith A. Simultaneous determination of volatile and non-volatile acidic fermentation products of anaerobes by capillary gas chromatography. Lett Appl Microbiol. (1989) 9:5–8. doi: 10.1111/j.1472-765X.1989.tb00278.x

CrossRef Full Text | Google Scholar

41. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. (2010) 7:335. doi: 10.1038/nmeth.f.303

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Dixon P. VEGAN, a package of R functions for community ecology. J Veg Sci. (2003) 14:927–30. doi: 10.1111/j.1654-1103.2003.tb02228.x

CrossRef Full Text | Google Scholar

43. Wheeler B, Torchiano M. lmPerm: Permutation Tests for Linear Models. R package version 1(1.2) (2010). Available online at: https://github.com/mtorchiano/lmPerm.

PubMed Abstract | Google Scholar

44. Kanno C, Kim D-H. A simple procedure for the preparation of bovine milk fat globule membrane and a comparison of its composition, enzymatic activities, and electrophoretic properties with those prepared by other methods. Agric Biol Chem. (1990) 54:2845–54. doi: 10.1271/bbb1961.54.2845

CrossRef Full Text | Google Scholar

45. Cebo C, Martin P. Inter-species comparison of milk fat globule membrane proteins highlights the molecular diversity of lactadherin. Int Dairy J. (2012) 24:70–7. doi: 10.1016/j.idairyj.2011.09.017

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Holzmüller W, Kulozik U. Technical difficulties and future challenges in isolating membrane material from milk fat globules in industrial settings–a critical review. Int Dairy J. (2016) 61:51–66. doi: 10.1016/j.idairyj.2016.03.013

CrossRef Full Text | Google Scholar

47. Karav S, Casaburi G, Arslan A, Kaplan M, Sucu B, Frese S. N-glycans from human milk glycoproteins are selectively released by an infant gut symbiont in vivo. J Funct Foods. (2019) 61:103485. doi: 10.1016/j.jff.2019.103485

CrossRef Full Text | Google Scholar

48. Brodkorb A, Egger L, Alminger M, Alvito P, Assunção R, Ballance S, et al. INFOGEST static in vitro simulation of gastrointestinal food digestion. Nat Protoc. (2019) 14:991–1014. doi: 10.1038/s41596-018-0119-1

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Sassene P, Fanø M, Mu H, Rades T, Aquistapace S, Schmitt B, et al. Comparison of lipases for in vitro models of gastric digestion: lipolysis using two infant formulas as model substrates. Food Funct. (2016) 7:3989–98. doi: 10.1039/C6FO00158K

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Yousi F, Kainan C, Junnan Z, Chuanxing X, Lina F, Bangzhou Z, et al. Evaluation of the effects of four media on human intestinal microbiota culture in vitro. AMB Express. (2019) 9:69. doi: 10.1186/s13568-019-0790-9

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Edwards C, Gibson G, Champ M, Jensen BB, Mathers J, Nagengast F, et al. In vitro method for quantification of the fermentation of starch by human faecal bacteria. J Sci Food Agric. (1996) 71:209–17. doi: 10.1002/(SICI)1097-0010(199606)71:2<209::AID-JSFA571>3.0.CO;2-4

CrossRef Full Text | Google Scholar

52. Louis P, Scott KP, Duncan SH, Flint HJ. Understanding the effects of diet on bacterial metabolism in the large intestine. J Appl Microbiol. (2007) 102:1197–208. doi: 10.1111/j.1365-2672.2007.03322.x

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Smith PA, Sherman J. The lactic acid fermentation of streptococci. J Bacteriol. (1942) 43:725. doi: 10.1128/JB.43.6.725-731.1942

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Bosshard PP, Zbinden R, Altwegg M. Turicibacter sanguinis gen. nov, sp nov, a novel anaerobic, gram-positive bacterium. Int J Syst Evol Microbiol. (2002) 52:1263–6. doi: 10.1099/00207713-52-4-1263

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Oliphant K, Allen-Vercoe E. Macronutrient metabolism by the human gut microbiome: major fermentation by-products and their impact on host health. Microbiome. (2019) 7:91. doi: 10.1186/s40168-019-0704-8

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Louis P, Flint HJ. Formation of propionate and butyrate by the human colonic microbiota. Environ Microbiol. (2017) 19:29–41. doi: 10.1111/1462-2920.13589

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Payros D, Secher T, Boury M, Brehin C, Ménard S, Salvador-Cartier C, et al. Maternally acquired genotoxic Escherichia coli alters offspring's intestinal homeostasis. Gut Microbes. (2014) 5:313–512. doi: 10.4161/gmic.28932

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Fan P, Liu P, Song P, Chen X, Ma X. Moderate dietary protein restriction alters the composition of gut microbiota and improves ileal barrier function in adult pig model. Sci Rep. (2017) 7:43412. doi: 10.1038/srep43412

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Gritz EC, Bhandari V. The human neonatal gut microbiome: a brief review. Front Pediatr. (2015) 3:17. doi: 10.3389/fped.2015.00017

CrossRef Full Text | Google Scholar

60. Yeruva L, Spencer NE, Saraf MK, Hennings L, Bowlin AK, Cleves MA, et al. Formula diet alters small intestine morphology, microbial abundance and reduces VE-cadherin and IL-10 expression in neonatal porcine model. BMC Gastroenterol. (2016) 16:40. doi: 10.1186/s12876-016-0456-x

CrossRef Full Text | Google Scholar

61. Piccolo BD, Mercer KE, Bhattacharyya S, Bowlin AK, Saraf MK, Pack L, et al. Early postnatal diets affect the bioregional small intestine microbiome and ileal metabolome in neonatal pigs. J Nutr. (2017) 147:1499–509. doi: 10.3945/jn.117.252767

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Barrett E, Guinane CM, Ryan CA, Dempsey EM, Murphy BP, O'Toole PW, et al. Microbiota diversity and stability of the preterm neonatal ileum and colon of two infants. Microbiologyopen. (2013) 2:215–25. doi: 10.1002/mbo3.64

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Sonnenburg JL, Xu J, Leip DD, Chen C-H, Westover BP, Weatherford J, et al. Glycan foraging in vivo by an intestine-adapted bacterial symbiont. Science. (2005) 307:1955–9. doi: 10.1126/science.1109051

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Sonnenburg ED, Zheng H, Joglekar P, Higginbottom SK, Firbank SJ, Bolam DN, et al. Specificity of polysaccharide use in intestinal bacteroides species determines diet-induced microbiota alterations. Cell. (2010) 141:1241–52. doi: 10.1016/j.cell.2010.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Reichardt N, Duncan SH, Young P, Belenguer A, Leitch CM, Scott KP, et al. Phylogenetic distribution of three pathways for propionate production within the human gut microbiota. ISME J. (2014) 8:1323. doi: 10.1038/ismej.2014.14

PubMed Abstract | CrossRef Full Text | Google Scholar

66. McDonald JA, Mullish BH, Pechlivanis A, Liu Z, Brignardello J, Kao D, et al. Inhibiting growth of Clostridioides difficile by restoring valerate, produced by the intestinal microbiota. Gastroenterology. (2018) 155:1495–507.e1415. doi: 10.1053/j.gastro.2018.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Kodicek E, Worden A. The effect of unsaturated fatty acids on Lactobacillus helveticus and other gram-positive micro-organisms. Biochem J. (1945) 39:78. doi: 10.1042/bj0390078

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Galbraith H, Miller T, Paton A, Thompson J. Antibacterial activity of long chain fatty acids and the reversal with calcium, magnesium, ergocalciferol and cholesterol. J Appl Bacteriol. (1971) 34:803–13. doi: 10.1111/j.1365-2672.1971.tb01019.x

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Sprong RC, Hulstein MF, Van der Meer R. Bactericidal activities of milk lipids. Antimicrob Agents Chemother. (2001) 45:1298–301. doi: 10.1128/AAC.45.4.1298-1301.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Fischer CL, Drake DR, Dawson DV, Blanchette DR, Brogden KA, Wertz PW. Antibacterial activity of sphingoid bases and fatty acids against gram-positive and gram-negative bacteria. Antimicrob Agents Chemother. (2012) 56:1157–61. doi: 10.1128/AAC.05151-11

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: milk fat globule membrane, ileal and caecal fermentation, caprine, bovine, ovine

Citation: Thum C, Young W, Montoya CA, Roy NC and McNabb WC (2020) In vitro Fermentation of Digested Milk Fat Globule Membrane From Ruminant Milk Modulates Piglet Ileal and Caecal Microbiota. Front. Nutr. 7:91. doi: 10.3389/fnut.2020.00091

Received: 02 March 2020; Accepted: 15 May 2020;
Published: 09 July 2020.

Edited by:

Alfonso Benítez-Páez, Principe Felipe Research Center (CIPF), Spain

Reviewed by:

Silvia Arboleya, Institute of Dairy Products of Asturias (IPLA), Spain
Williams Turpin, University of Toronto, Canada

Copyright © 2020 Thum, Young, Montoya, Roy and McNabb. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Caroline Thum, caroline.thum@agresearch.co.nz

Download