Effects of undigested protein-rich ingredients on polarised small intestinal organoid monolayers

Abstract

Abstract

Here, we describe the use of monolayers of intestinal epithelial cells derived from intestinal organoids and transcriptomics to investigate the direct effects of dietary protein sources on epithelial function. Mechanically dissociated 3D organoids of mouse duodenum were used to generate a polarized epithelium containing all cell types found in the tissue of origin. The organoid-derived cell monolayers were exposed to 4% (w/v) of ‘undigested (non-hydrolysed)-soluble’ fraction of protein sources used as feed ingredients [soybean meal (SBM) and casein], or alternative protein sources (spray dried plasma protein, and yellow meal worm), or controls for 6 h prior to RNA isolation and transcriptomics. All protein sources altered expression of unique biological processes in the epithelial cells. Exposure of intestinal organoids to SBM downregulated expression of retinol and retinoid metabolic processes as well as cholesterol and lipid biosynthetic pathways, consistent with the reported hypotriglyceridaemic effect of soy protein in vivo. These findings support the use of intestinal organoids as models to evaluate complex interactions between dietary ingredients and the intestinal epithelium and highlights some unique host effects of alternative protein sources in animal feed and potentially human food.

Graphical abstract

Schematic representation of the study. 3-dimensional organoids were generated from mouse duodenum (1). The organoids were subsequently dissociated into single cells (2) and grown as 2-dimensional polarised monolayers (3). Polarized monolayers of organoid cells were exposed to different protein sources [CAS, SBM, SDPP, YMW, or medium control (MC)] for 6 h (4) and further processed for imaging (5) gene expression (6), and biochemical assays (7), to investigate the effects of undigested protein sources on the duodenal epithelium.

Background

Currently, there is much interest in alternative sources of protein for animal feed, driven by the expected growth in the human population and increasing demand for animal protein. Moreover, cheaper sources of feed protein are being explored to sustain increased animal production. Alternative sources of protein include insect larvae and blood plasma. Little is known, however, about their potential non-nutritional effects on the host [1]. In vitro models commonly used to study intestinal responses to luminal factors include intestinal cell lines, primary cells, or tissue explants. However, cancer or transformed cell lines usually display aneuploidy, altered glycosylation patterns, and genetic mutations and deletions. Moreover, primary intestinal cells or explants are short-lived, making them less physiologically relevant for translational research [2–4].

To overcome these issues, we used three-dimensional (3D) organoid cultures from isolated crypts of the duodenum [5, 6]. Intestinal organoids can be generated within 2 weeks, maintained for > 2 years in culture or cryopreserved, and when differentiated contain all the epithelial cell lineages found at the location of origin [7, 8]. Recently, we and others have described methods for growing polarised monolayers of 3D organoid cells on semipermeable membrane supports, enabling apical exposure to luminal factors [9–11]. These two-dimensional (2D) organoid monolayers contain all the differentiated cell types found in the intestine and include many characteristics of intact, polarized epithelium, including barrier integrity and a secreted mucus layer [9, 10, 12].

Here we report on the effects of undigested (non-hydrolysed soluble fractions) of different protein sources on the transcriptome of duodenal organoids. We performed our study in duodenum organoids, as it is likely this specific location will be the primary site of undigested protein exposure in vivo. Soybean meal (SBM) and other protein sources being considered for animal feed such as milk casein (CAS), spray-dried plasma protein from porcine blood (SDPP), and ground freeze-dried yellow mealworm larvae (YMW) were applied to the apical surface of 2D organoid cell monolayers for 6 h after which RNA was isolated for transcriptomics using mouse gene microarrays. Potential effects of protein sources on cell viability and metabolism were measured, to control for unwanted side effects of the treatments such as apoptosis. Biochemical assays were used to validate production of triglyceride (TG) and phosphatidylcholine (PC), two pathways predicted to be activated by the different protein sources.

Materials and methods

2D organoids and imaging

All protocols were approved by the animal ethics board of Wageningen University & Research, The Netherlands (2013023.f). Three nine-week-old wild type C57BL/6J female mice were purchased from Harlan Sprague Dawley Inc. (Horst, the Netherlands) and kept in the animal facility of Wageningen University & Research (12 h:12 h reversed light/dark cycle, 20 ± 2 °C). The mice were housed together in a specific pathogen-free environment with ad libitum access to a standard diet (AIN-93 M) and water. Mice were euthanized and dissected to remove the duodenum and the crypts isolated for generating organoids as previously described with minor modifications [7, 8] and grown in basal culture medium (W-ENR: DMEM/F12 medium enriched with 50 ng/mL mouse Epidermal growth factor (mEGF), 10 mmol/L Hepes (Invitrogen, the Netherlands), 1× B-27 supplement (ThermoFisher scientific, The Netherlands), and recombinant Noggin (15% v/v), WNT3A (30% v/v, Hubrecht Institute, Utrecht, Netherlands [7]), and R-Spondin (15% v/v, Stanford university, Palo Alto, USA [5]) (Method S1). To facilitate access to the apical surface of epithelial cells, we generated 2D monolayers of cells from dissociated 3D organoids. The organoids were extracted from the plate by adding 1 mL/well ice-cold DMEM F12 containing 1% v/v penicillin/streptomycin and disrupted using a p200 pipette for 40 consecutive passages and centrifuged at 250 × g for 5 min at 4 °C. The resulting pellet was suspended in TrypLE dissociation reagent and incubated for 10 min to receive a single-cell suspension. The cells were centrifuged at 750 × g for 5 min, resuspended in W-ENR at room temperature and plated at 25,000 cells per well in a 96-well culture plate, pre-coated with 0.5% Matrigel matrix as previously described [9, 10]. To confirm the presence of secretory cell lineages, the organoid monolayers were grown to confluence on 96-well plates, fixed in 1% paraformaldehyde (PFA), and subsequently visualised in histology sections with a fluorescent phalloidin conjugate (cell membranes, 1:100, A12379, Thermo-Fisher), Ki-67 (proliferating cells, 1:200, ab66155, Abcam), UEA-1 (secretory cell lineages, 1:100, FITC-conjugated, FL-1061, Vector Laboratories), and MUC2 (1:200, sc-515031, Santa Cruz Biotechnology) as previously described [9] Additional file 1.

Protein treatments, RNA isolation, transcriptomics and biological pathway analysis in 2D organoids

Finely powdered SBM (Glycine max, Research diet services, The Netherlands), CAS (Bos taurus, Fronterra, Auckland, New Zealand), SDPP (Sus scrofa, Darling Ingredients, The Netherlands), and YMW (Tenebrio molitor, Kreca, The Netherlands) (see [13]) were added to DMEM F12 media (40 mg/mL) and homogenised using 2 cycles of 1 min with a 15 min interval on a vortex mixer . The homogenate was then allowed to settle at room temperature. Finally, the homogenate was centrifuged at 10,000 × g for 1 min to remove insoluble material, diluted to 400 μg/mL, and 1:10 of supernatant was added to the apical compartment of 2D organoid monolayers in W-ENR (resulting in 40 μg/mL protein; 4% w/v). After 6 h incubation at 37 °C RNA was isolated from protein-treated or medium control (DMEM-F12 only; MC) organoid monolayers for generating cDNA (Method S2). The labelled cDNA was hybridized to mouse gene 1.1 ST array (Affymetrix, Thermo Fisher Scientific, CA, USA) microarray plate and the results analysed essentially as previously described [14, 15] (Method S2). Genes differentially expressed in organoids exposed to protein sources compared to MC were identified for biological pathway analysis using GeneAnalytics (LifeMap Sciences, Inc. a subsidiary of BioTime, Inc., USA) [16]. The resulting microarray data is available in the Gene Expression Omnibus from NCBI with accession number GSE98051. Microarray results were confirmed by RT-qPCR on a selected set of differentially expressed genes (Method S3 and Table S1).

The potential effects of organoid exposure to different protein sources on cell viability and metabolism were measured using the CellTiterGlo 2.0 ATP-luminescence assay (G9241, Promega). After 6 h incubation with different protein sources, the cells were lysed using the CellTiter Glo reagent (1:1 v/v) and ATP quantified by luminescence in Spectramax M5 (Molecular Devices, Sunnyvale, CA, USA).

Biochemical analysis of triglyceride and phosphatidylcholine

Two compounds, triglyceride (TG) and phosphatidylcholine (PC), were measured in the organoid culture supernatant for each mouse organoid line (n = 3 biological replicates) exposed to undigested (non-hydrolysed) protein sources using commercial detection kits (n = 2 per biological replicate, ab65336, and ab83377, Abcam). Samples and standards were prepared and measured according to the manufacturer’s instructions.

Results and discussion

Multi-cell lineage composition of 2D organoid monolayers

Two-dimensional (2D) organoid cultures from murine small intestine were generated to investigate the effects of different dietary protein sources by image analysis, transcriptomics, and biochemical assays (Fig. 1). To verify that our 2D monolayers of organoid cells contained heterotypic epithelial cell lineages as previously reported [8], we performed histological and transcriptomic analyses. Our 2D monolayers indeed contained secretory Paneth cells, and mucus-positive goblet cells as shown by immunohistochemical staining (Fig. S1), which is consistent with expression values for Lyz and Muc2 transcripts in the microarray data (Fig. S2). Similarly, the genome-wide transcriptomics data revealed expression of other genes associated with specific cell lineages of intestinal epithelium including columnar base cells (CBC), and enteroendocrine cells (EEC)(Fig. S2).

Fig. 1.

Experimental overview of the study. a Duodenum organoids were generated from 3 individual mice and separately cultured in Matrigel. b 3-dimensional organoids were single-cell dissociated by pipetting and TrypLE enzymatic digestion, plated in Matrigel coated 96-well plates, and grown until confluence for 3 d. c After confluence the monolayers were treated for 6 h with 4% w/v soybean meal (SBM), casein (CAS), spray-dried plasma protein (SDPP), yellow mealworm (YMW), or medium control (MC). d After 6 h, the monolayers were lysed and processed for gene expression profiling using Affymetrix microarrays

Different undigested sources of dietary protein have distinct biological effects on organoids

Organoid monolayers were exposed to different undigested protein sources (4% w/v, SBM, CAS, SDPP, and YMW) or DMEM as a MC for 6 h. Testing the effects of the treatments on cellular metabolism or survival, an ATP assay was performed. A statistically significant decline in cell ATP (< 5% compared to medium control) was observed after exposure to SBM, CAS, and YMW (Fig. S1B), which could be caused by treatment-induced changes in energy metabolism or metabolic activity. However, biologically we do not expect this to have detrimental physiological consequences on the organoid monolayers.

Principal Component Analysis (PCA) of transcriptomics data suggest separation of the treatments (95% CI) from the medium control-treated samples (PC1: 72.5% variance, Fig. S3). Analysis of the microarray data revealed that many genes were significantly (P < 0.05 and fold change > 1.5) differentially expressed in 2D intestinal organoids following exposure to different protein sources for 6 h (Table 1). Several of these differentially regulated genes were verified to have altered expression by RT-qPCR, showing a strong correlation (r = 0.8) to the microarray expression (Table S1). Using GeneAnalytics, the genes were matched to GO-biological processes (Table 2). Strikingly, several unique biological processes were influenced by each of the protein sources, while only one biological process was commonly regulated by all treatments (Fig. S4). For CAS, SBM, SDPP and YMW, the number of uniquely modulated GO-biological processes compared to control were 5, 8, 24 and 11, respectively.

Table 1.

Overview of differentially expressed (P < 0.05) genes along with the number of related GO-biological processes in 2D organoids exposed to undigested protein sources compared to medium control (MC)

Treatment	Regulation		Differentially expressed genes a	GO biological processes b
CAS	Up	417	823	26
	Down	406
SBM	Up	340	796	27
	Down	456
SDPP	Up	262	379	40
	Down	117
YMW	Up	391	824	20
	Down	433

Abbreviations: CAS casein, SBM soybean meal, SDPP spray dried plasma protein, YMW yellow meal worm

^aP < 0.05 and log(fold change) > |1.5|

^bAnalysed by GeneAnalytics; pathway analysis significance using a corrected P-value of < 0.05

Table 2.

Uniquely regulated GO-biological processes of 2D organoids exposed to various protein sources. List of biological processes as analyzed in GeneAnalytics using the differentially expressed genes compared to medium control (MC)

Sl No.	Biological processes modulated in treatments compared to MC	Putative regulation of biological process
	CAS
1	Glutathione metabolic process	Down
2	Notochord development	Up
3	Microtubule-based movement	Up
4	Glutathione derivative biosynthetic process	Down
5	Cellular detoxification of nitrogen compound	Down
	SBM
1	Phosphatidylcholine biosynthetic process	Down
2	Triglyceride homeostasis	Down
3	Drug metabolic process	Down
4	Type I interferon signaling pathway	Up
5	Retinol metabolic process	Down
6	Hexose transport	Down
7	Lipoprotein metabolic process	Down
8	Retinoid metabolic process	Down
	SDPP
1	Nucleosome assembly	Up
2	Positive regulation of apoptotic process	Up
3	Positive regulation of cell migration	Up
4	Response to wounding	Up
5	Wound healing, spreading of cells	Up
6	Negative regulation of cell cycle	Up
7	DNA replication-independent nucleosome assembly	Up
8	Cellular response to organic cyclic compound	Up
9	Angiogenesis	Up
10	Telomere organization	Up
11	Response to virus	Up
12	Cytokinesis	Up
13	DNA replication-dependent nucleosome assembly	Up
14	DNA-templated transcription, initiation	Up
15	Response to hypoxia	Up
16	Positive regulation of fever generation	Up
17	Mitotic spindle midzone assembly	Up
18	Platelet degranulation	Up
19	Positive regulation of cytokinesis	Up
20	Chromatin silencing at RDNA	Up
21	Protein stabilization	Up
22	Protein localization to kinetochore	Up
23	Omega-hydroxylase P450 pathway	Up
24	Positive regulation of protein localization to nucleus	Up
	YMW
1	Cholesterol biosynthetic process	Down
2	Steroid metabolic process	Down
3	Response to drug	Down
4	Oxidation-reduction process	Up
5	Transmembrane transport	Down
6	Isoprenoid biosynthetic process	Down
7	Very long-chain fatty acid metabolic process	Down
8	CDP-choline pathway	Down
9	Long-chain fatty acid metabolic process	Down
10	Steroid hormone mediated signaling pathway	Down
11	Response to gamma radiation	Up

Abbreviations: CAS casein, SBM soybean meal, SDPP spray dried plasma protein, YMW yellow meal worm, MC medium control

^aAnalysed by GeneAnalytics; pathway analysis significance at corrected P-value < 0.05

^bP < 0.05 and log(fold change) > |1.5|

The biological process upregulated by all protein ingredients compared to MC, was cell proliferation, indicating altered rates of cell turnover. CAS exposure to 2D organoids significantly downregulated expression of genes related to glutathione metabolic process and glutathione-derivative biosynthetic processes. Glutathione is a tripeptide, ubiquitously distributed in living cells and plays an important role in the intracellular defence mechanism against oxidative stress [17, 18]. It is known that glutathione metabolism is important for the antioxidant and detoxifying action of the intestine [19]. This suggests that CAS has detoxifying or anti-oxidative (functional) properties reducing the requirement for glutathione.

Exposure of organoids to SDPP upregulated several biological pathways associated with processes of cell migration and movement, including ‘wound healing’, ‘cytokinesis’ ‘mitotic spindle midzone assembly’, and is consistent with the upregulation of ‘DNA-templated transcription’, ‘initiation’, and ‘nucleosome assembly’. Additionally, the upregulation of angiogenesis could be related to cell apoptosis and altered expression of membrane metalloproteases and connective tissue growth factors involved in epithelial repair processes. Overall, these findings suggest increased cell turnover reflected in the upregulation of apoptosis and replication processes. The reason for this observation is unclear but may involve reconstituted serum factors from SDPP (porcine origin) and warrants further investigation.

Exposure of 2D organoids to YMW down regulated biological processes involved in lipid metabolism such as ‘steroid metabolic process’, ‘cholesterol biosynthesis process’, ‘very-long chain fatty acid metabolic process’ and ‘isoprenoid biosynthesis’. Isoprenoids are needed for biosynthesis of sterols such as cholesterol, which is vital for membrane structure. The effects of YMW are most likely to be due to the relatively high residual fat content (total fat, dry matter basis: 270 g/kg) of this protein source [13].

Soybean meal is a common protein ingredient of animal feed and down-regulated biological processes involved in triglyceride (TAG) and phosphatidylcholine (PC) biosynthesis as well as pathways associated with retinoid and retinol metabolism (Table 2). This is consistent with in vivo studies showing soy protein intake to be hypotriglyceridaemic in rats, having cholesterol lowering effects and reducing lipid deposition in liver [20–22].

Intestinal organoids produce and secrete chylomicrons [23], large triglyceride-rich lipoprotein particles enveloped by phospholipids, which are used for the transport of dietary fat and fat-soluble vitamins. Recently, van Rijn and colleagues showed that intestinal organoids secrete chylomicrons upon stimulation with fatty acids and measured the intracellular formation of lipid droplets [24]. To investigate whether SBM incubated organoids secreted lower amounts of these molecules we measured their concentration in the culture medium (Fig. S5). Interestingly, supernatants from SBM-treated monolayers had lower amounts of TAG and PC than the other protein treatments but were not different from MC. However, transcriptional down-regulation of these pathways was predicted from microarray data of SBM treated cells compared to the MC. This result could be explained by the presence of a minimal TAG and PC amount in the normal culture supernatant. Moreover, higher amounts of TAG and PC were found in supernatants of organoids treated with ingredients containing higher fat content than SBM (see [13]).

The hypotriglyceridaemic effect of soy protein was recently shown to be due to suppression of retinoic acid receptor expression in liver of rats fed soybean protein but not casein protein in their diet [25]. This is consistent with reports that administration of retinoids in cancer treatments are associated with hypertriglyceridemia via their interaction with retinoid receptors [26–28]. Taken together, these observations suggest that a component in SBM also negatively regulates retinoid and retinol biosynthesis as well as cholesterol and lipid biosynthetic pathways through down regulation of retinoic acid receptors in the intestinal epithelium.

In the present study we observe only part of the bio-functionality of the protein ingredients. The soluble constituents in the undigested (non-hydrolysed) soluble fraction of the protein ingredients are likely responsible for the observed effects in the present study. It can either be proteins or naturally present peptides or likely non-protein constituents that are responsible for the observed effects. However in vivo we can expect additional effects of the digested protein sources, in particular on metabolism. Moreover, the kinetics of protein digestion in the gastrointestinal tract differs substantially among the protein sources, particularly for SBM and SDPP [29].

Concluding remarks

Collectively, our results indicate a direct diet-host interaction of the ‘undigested (non-hydrolysed)-soluble fraction’ of different protein sources and demonstrates that organoid monolayers are useful models to evaluate complex interaction between feed or food ingredients and the intestinal epithelium. Our transcriptome results for SBM and CAS, protein sources for which extensive studies have been performed in vivo, reflected those shown in animal studies. Our study suggests that a 2D intestinal organoid model can predict some effects also seen in vivo and might help to predict host-feed interactions.

Less studied protein sources such as SDPP and YMW also had significant effects on epithelial gene expression. For SDPP the main pathways affected indicate a possible stress response or stimulation of epithelial regeneration, for example, through increased cell turn-over [30]. Future studies can be focused on verifying the biological processes altered by SDPP and YMW in 2D intestinal organoid models, as well as fractionation of the protein sources to identify bio-molecular component(s) responsible for their effects or pre-hydrolysed fractions of other food/feed ingredients. Additionally, species-specific advances in organoid cultivation could be used to identify molecular responses of various host-species or tissue types [9, 11].

Abbreviations

2D

Two-dimensional

3D

Three-dimensional

AIN

American Institute of Nutrition

ATP

Adenosine triphosphate

CAS

Casein

CBC

Columnar base cell

DMEM

Dulbecco’s modified Eagle medium

EDTA

Ethylenediaminetetraacetic acid

EEC

Enteroendocrine cells

FC

Fold change

GO

Gene ontology

HKG

Miscellaneous genes

IMBT

Intensity based moderated T-statistic

Lyz

Lysozyme

MC

Medium control

mEGF

Mouse epidermal growth factor

Muc2

Mucin-2

PBS

Phosphate-buffered saline solution

PC

Phosphatidylcholine

PCA

Principal component analysis

RT-qPCR

Quantitative reverse transcription PCR

SBM

Soybean meal

SC

Stem cell

SDPP

Spray dried plasma protein

TBS-T

Tris-buffered saline-tween 20

TG

Triglyceride

UEA-1

Ulex europaeus agglutinin 1

YMW

Yellow meal worm

Author’s contributions

SKK, AJMJ, MAS and JMW contributed to the conception and design of the work. SKK, BvdH, LMPL, AJMJ, MAS and JMW contributed to the design of the work. SKK, BvdH and JMW contributed to the design of the validation experiment whereas SKK and BvdH executed it. NT and JJT prepared and maintained the organoid culture for this study. SKK and BvdH executed the experiments on organoids. SKK and DS contributed to the analysis and interpretation of microarray data. SKK, BvdH and JMW drafted the manuscript. LMPL, DS, AJMJ, MAS and JMW contributed to the final approval of the version for publication. All the authors read and approved the final manuscript.

Funding

The authors acknowledge the financial support from the Wageningen University & Research “IPOP Customized Nutrition” program (grant no. 4417801270). This research is financed by Wageningen University & Research, the Dutch Ministry of Economic Affairs, Agriculture & Innovation, the graduate school Wageningen Institute of Animal Science (WIAS) and industrial partners Trouw Nutrition, The Netherlands and Darling Ingredient International, The Netherlands. BvdH was supported by the applied and engineering sciences division of The Netherlands Organisation for Scientific Research (NWO project 14935) and DSM Nutritional Products. The funding sources played no decisive role in data collection, analysis, nor interpretation.

Availability of data and materials

The microarray data resulted from this study is available in the Gene Expression Omnibus of NCBI with the accession number GSE98051.

Ethics approval

All procedures were approved by the Wageningen Animal Ethics Committee (Wageningen, The Netherlands; accession number 2013023.f) and carried out according to the guidelines of the European Council Directive 86/609/EEC dated November 1986.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s40104-020-00443-4.