ORIGINAL RESEARCH article

Front. Physiol., 23 February 2022

Sec. Gastrointestinal Sciences

Volume 13 - 2022 | https://doi.org/10.3389/fphys.2022.773671

Unraveling the Proteomic Landscape of Intestinal Epithelial Cell-Derived Exosomes in Mice

  • 1. Department of Orthopedics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China

  • 2. Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China

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Abstract

Purpose:

This study aimed to identify the biological functions of small intestine intestinal epithelial cell derived exosomes (IEC-Exos) and further distinguished the difference proteins in IEC-Exos between ileum and jejunum related to function of the digestive system and occurrence of several diseases.

Materials and Methods:

IECs of Male C57BL/6J mice were isolated. IEC-Exos were extracted from jejunum and ileum epithelial cell culture fluid by ultracentrifugation. In addition, isobaric tags for relative and absolute quantitation (iTRAQ) combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) were used to detect IEC-Exo proteins and conduct biological information analysis.

Results:

The results showed that compared with jejunum IEC-Exos from ileum IEC-Exos, there were 393 up-regulated proteins and 346 down-regulated proteins. IECs-Exos, especially derived from jejunum, were rich in angiotensin-converting enzyme 2 (ACE2). The highly expressed proteins from ileum IEC-Exos were mostly enriched in genetic information processing pathways, which mainly mediate the processes of bile acid transport, protein synthesis and processing modification. In contrast, the highly expressed proteins from jejunum IEC-Exos were mainly enriched in metabolic pathways involved in sugar, fatty acid, amino acid, drug, and bone metabolism, etc. The differentially expressed proteins between ileum and jejunum IEC-Exos were not only related to the function of the digestive system but also closely related to the occurrence of infectious diseases, endocrine diseases and osteoarthritis, etc.

Conclusion:

IEC-Exos there were many differentially expressed proteins between ileum and jejunum, which played different roles in regulating intestinal biological functions. ACE2, the main host cell receptor of SARS-CoV-2, was highly expressed in IEC-Exos, which indicated that IEC-Exos may be a potential route of SARS-CoV-2 infection.

Introduction

Intestinal epithelial cells (IECs), which have the characteristics of continuous migration, differentiation, and renewal, play an important role in maintaining intestinal function. As an organ involved in nutrient digestion and absorption, microbial defense, and endocrine functions, the intestine has important physiological functions, such as nutrient absorption, secretion, and transport. In addition, the intestine is also involved in drug metabolism, energy metabolism, endocrine responses, oxidative stress, and immune defense mechanisms (Peterson and Artis, 2014; Kiela and Ghishan, 2016; Satsu, 2017). The occurrence and development of clinical diabetes, atherosclerosis, intestinal inflammation, neurodegenerative diseases, and osteoarthritis are all correlated with intestinal epithelial dysfunction (de Wit et al., 2008; Gribble and Reimann, 2019; Tajik et al., 2020). Angiotensin-converting enzyme 2 (ACE2), which is highly expressed on IECs, is a receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected cells and has an important effect on the occurrence and development of coronavirus disease 2019 (COVID-19) (Lamers et al., 2020; Ziegler et al., 2020). Recent studies confirmed that the exosomes are important intercellular communication vehicles, which play key role in cell biology. However, Intestinal epithelial cell derived exosomes (IEC-Exos) have not been studied in detail. Studies have shown that the biological function of IECs is closely related to their paracrine exosomes. Exosomes selectively enrich biologically active components derived from parent cells, including nucleic acids, proteins, lipids, amino acids, and metabolites, which are the basis for information and material exchange between cells. Once ingested by target cells, exosomes can regulate a variety of biological behaviors, such as gene expression and survival, proliferation, and migration of cells (Kalluri and LeBleu, 2020). IEC-Exos play pivotal roles in regulating intestinal antigen presentation, intestinal inflammation, intestinal homeostasis and systemic immune responses (van Niel and Heyman, 2002; Zhang H. et al., 2019). High-fat-induced IEC-Exos are involved in the occurrence and development of obesity, diabetes, and vascular complications (Xia et al., 2019). Many studies have demonstrated that exosomes play pivotal roles in the transmission of viruses and aggravation of adverse reactions and have potential application value in preventing viral infections (Hassanpour et al., 2020). Nevertheless, there are no reports on IEC-Exos in SARS-CoV-2 infection. At the same time, many significant biological functions, and mechanisms of IEC-Exos have not been fully elucidated.

The jejunum and ileum are the main components of the small intestine. The functional differences of exosomes derived from the jejunum and ileum are poorly understood. As a high-throughput screening method, proteomics has attracted increasing attention in the study of the protein components and biological effects of exosomes. In this study, extracted mouse jejunum and ileum IEC-Exos were identified by transmission electron microscopy, western blotting, and nanoparticle tracking analysis. For the first time, differentially expressed proteins of IEC-Exos were detected and compared through isobaric tags for relative and absolute quantitation (iTRAQ) combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein–protein interaction (PPI) bioinformatics analyses were used to explore the function, distribution and related signaling pathways of differentially expressed proteins from ileum and jejunum IEC-Exos. Our study provides a basis for better understanding the function of IECs and for performing further research on the diagnosis and treatment of related diseases.

Materials and Methods

Cell Culture

Twenty-four male C57BL/6J mice (six mice per group) were sacrificed via cervical dislocation. The abdominal cavity of mice was opened, and the jejunum and ileum were gently cut out. The tissue was placed in a culture dish filled with cold normal saline. Then, the surplus mesenteric adipose tissue was gently removed, and the intestine was rinsed with cold saline. Next, the small intestine was cut longitudinally, and the stool was gently scraped off with a coverslip. The tissue was cut into small pieces (approximately 2 mm) and placed in a 50 mL centrifuge tube. DTT (30 ml, 10 mmol/L) was added to the tube and shaken for 5 min to remove mucus. After removing mucus, the tissue was transferred to a tube containing 30 mL 8 mmol/L EDTA and shaken for 30 min at 4°C. The EDTA was discarded, and 30 ml DPBS was added to a 50 mL centrifuge tube. The mixture was blown evenly with a 10 mL pipette, and the supernatant was collected. The above steps were repeated approximately six times until the supernatant became clear. The supernatant was mixed and centrifuged at 300 g for 5 min at 4°C. The supernatant was discarded, and the precipitate was collected. The precipitate was mainly composed of IECs. IECs of the jejunum and ileum were cultured with PBS, placed in a cell incubator at 37°C and 5% CO2, and cultured for 15 min. The culture fluid was collected to extract exosomes.

Exosome Purification

Exosomes were isolated by differential centrifugation. In short, three-step centrifugation at 300 × g for 10 min, 2000 × g for 10 min, and 10,000 × g for 10 min were used to separate living cells, possible apoptotic bodies and large cell fragments from the culture fluid. Then, it was centrifuged at 100,000 × g for 70 min to collect EVs-containing pellets. After washing with phosphate buffered saline (PBS), ultracentrifugation was centrifuged at 100,000 × g for 70 min with a Beckman 32Ti rotor. The pellet was resuspended in PBS to obtain an IEC-Exo suspension of the jejunum and ileum. The size and particle number of EVs were characterized by electron microscope and nanoparticle tracking analysis (NTA).

Nanoparticle Tracking Analysis

The exosome samples were first diluted to a final dilution of 1:5000 in filtered sterile PBS. The particle size and concentration distribution of the IEC-Exos were measured by NTA (ZetaVIEWS/N 17-310, PARTICLE METRIX, Meerbusch, Germany) according to the manufacturer’s instructions.

Transmission Electron Microscopy

Twenty microliters of the exosome suspension was added to 2 nm copper grids, placed at room temperature for 3 min, and stained with a 3% phosphotungstic acid solution. The samples were then visualized using a transmission electron microscope (Tecnai G2 spirit Biotwin, FEI, Hillsboro, OR, United States).

Western Blotting Analysis

The collected IEC-Exos were fully lysed by adding RIPI and a protease inhibitor (100:1). The lysis solution was centrifuged at 12,000 rpm for 20 min at 4°C. The supernatant was collected and mixed with 5x loading buffer. The mixture was placed in a heater for 10 min at 100°C to fully denature the protein. The expression of TSG 101 (Santa Cruz, sc-7964, dilution rate 1:500) and CD 81 (Santa Cruz, sc-166029, dilution rate 1:500) was detected by western blot analysis.

Protein Extraction and Digestion

Frozen IEC-Exo samples from the ileum group and jejunum group were removed (four samples for each group, six mice per sample). The samples were homogenized with a hand-held homogenizer in the presence of lysate buffer on ice and then ultrasonically processed. The resulting solutions were centrifuged to remove any pellets and precipitates. A bicinchoninic acid assay (BCA) was performed to determine the protein concentration of every sample. Twenty micrograms of each sample of the same group were mixed together. Then, six volumes of acetone were added to each obtained group supernatant, and the mixed solutions were placed at –20°C overnight. After centrifugation, the supernatants were removed. The precipitated proteins were washed with acetone and resuspended in 500 mM triethylammonium bicarbonate/6 M guanidine hydrochloride (TEAB). BCA was performed to determine the protein concentration. A filter-aided sample preparation (FASP) strategy described in a previous report (Wisniewski et al., 2009) was performed for subsequent sample preparation. Briefly, 200 μg of protein from each group was reduced, alkylated and digested in centrifugal units. After digestion at 37°C overnight, the peptide solutions were centrifuged, and the filtrates were collected. Sequentially, the digested peptides were dried by vacuum centrifugation and stored at –80°C until further use.

Isobaric Tags for Relative and Absolute Quantitation Labeling

One hundred micrograms samples from each group were labeled using a Reagent-8-plex Multiplex Kit according to the manufacturer’s instructions (AB Sciex, Darmstadt, Germany). The four ileum samples were labeled with reagents 113, 114, 117, 118 and the four jejunum samples were labeled with reagents 115, 116, 119 and 121. After resuspension in dissolution buffer, the digested peptides from each sample were incubated with a specific iTRAQ tag for 3 h at room temperature. The labeled samples were equally mixed and dried under a SpeedVac. After resuspension in 30 μL of 20 mM ammonium formate, 20 μL of the pooled sample was prefractionated by high-pH reverse-phase liquid chromatography using an ACQUITY UPLC H-Class Bio HPLC system (Thermo Scientific, Waltham, MA, United States), and finally, 10 consolidated fractions were acquired. Labeled peptides in each fraction were dried and redissolved in 30 μL 2% acetonitrile/0.1% formic acid for LC-MS/MS analysis.

Liquid Chromatography-Tandem Mass Spectrometry

The labeled peptide mixtures were separated using an EASY-nLC 1200 system (Thermo Scientific, United States). The peptides were separated on a PepMap100 RSLC C18, 2 μm, 75 μm × 15 cm analytic column using a 110-min mobile phase gradient from 5 to 30%. Mass spectra were recorded on an Orbitrap Exploris 480 mass spectrometer conFigured with a Nano-ESI source (Thermo Scientific, United States). Full scan MS spectra were acquired in the m/z range of 350–1600 at a resolution of 70,000. The top 10 precursors were selected for high-energy collision-induced dissociation (HCD) with a collision energy of 35%, and the product ions were detected at a resolution of 17,500 in data-dependent acquisition mode.

Isobaric Tags for Relative and Absolute Quantitation Data Analysis

The raw data were searched against the UniProt database using MASCOT2.3.2 (Thermo Scientific, United States; Matrix Science, London, United Kingdom), a search engine built in the Proteome Discoverer 1.4 software suite. Protein level changes were compared between paired ileum IEC-Exos and jejunum IEC-Exos, and differentially expressed proteins (fold change ≥ 1.3 or ≤0.769 and P < 0.05) were defined. The data were analyzed by Bohao Biotechnologies Co., Ltd. (Shanghai, China).

Bioinformatic Analysis

Gene Ontology, KEGG and PPI bioinformatics analyses were performed on the differentially expressed proteins between the ileum and jejunum IEC-Exos. Enrichment analysis of the GO terms, including molecular function (MF), biological process (BP) and cellular component (CC), and KEGG pathway analysis of the dysregulated proteins were performed using the DAVID web server. Fisher’s exact test was used to test the significance of the overlap between various gene sets, and P values < 0.05 were considered significant. The smallest 15 P-values or the 30 items with the smallest P-values between the up- or down-regulated differentially expressed proteins were selected to draw bar plots or dotplots. The PPI network was analyzed with the String database1 and visualized with Cytoscape software.

Results

Intestinal Epithelial Cell Derived Exosomes Identification

Under transmission electron microscopy, both ileum and jejunum IEC-Exos presented as round or elliptical vesicles with clear double-layer membrane structures (Figure 1A). The results of nanoparticle tracking analysis showed that the concentration of ileum IEC-Exos was 1.0E + 8 particles/mL, and the diameter of IEC-Exos was mainly concentrated at 30–130 nm. The concentration of jejunum IEC-Exos was 1.2E + 8 particles/mL with a diameter of 30–120 nm (Figure 1B). In addition, the exosomal intracellular proteins CD81 and TSG101 were also detected by western blotting (Figure 1C).

FIGURE 1

FIGURE 1

Identification of IEC-Exos from ileum and jejunum. (A) Transmission electron microscopic observation (scale = 0.5 μm), arrows indicated the typical exosomes. (B) Nanoparticle tracking analyzer Size Distribution. (C) Immunoblot of CD81 and TSG101 in IEC-Exos.

Intestinal Epithelial Cell Derived Exosomes Proteins Quantification

The protein quantification results showed that 4140 proteins were identified in IEC-Exos, and compared with jejunum IEC-Exos, there were 739 differentially expressed proteins(fold change ≥ 1.3 or ≤0.769 and P < 0.05) from ileum IEC-Exos, including 393 up-regulated proteins and 346 down-regulated proteins. Moreover, there was no difference in the expression of 3401 proteins between the two types of IEC-Exos (Figure 2). Ribosomal proteins were the majority of the 40 up-regulated proteins (Table 1). Solute carrier (SLC) transporters carbohydrates, amino acids, nucleic acids, ions and drugs were the majority of the down-regulated proteins (Table 2 and Schedule 1). However, Slc10a2 (solute carrier family 10 member 2), which is related to the uptake of intestinal bile acids in the distal ileum, was significantly up-regulated in IEC-Exos (Table 1 and Schedule 1). Based on previously reported cell type–specific markers and intestinal single-cell sequencing results(Haber et al., 2017; Wang Y. et al., 2020), we confirmed that the IEC-Exos we isolated were mainly derived from eight known intestinal epithelial cells, including enterocyte cells, goblet cells, Paneth cells, enteroendocrine cells, tuft cells, progenitor cells, transit amplifying cells (TACs) and stem cells (Schedule 2).

FIGURE 2

FIGURE 2

Volcano map of differentially expressed proteins. The abscissa represents the fold change (log2 value) of differentially expressed proteins, and the ordinate represents the P-value (–log10). Gray points represent proteins with insignificant differences, red points represent up-regulated proteins, and the blue points represent down-regulated proteins.

TABLE 1

No.AccessionGene symbolDescriptionScoreFold change (ileum/jejunum)P-valueExpression
1P70172Slc10a2Ileal sodium/bile acid cotransporter24.882.7340.000Up
2P51162Fabp6Gastrotropin819.272.5950.005Up
3P62862Fau40S ribosomal protein S3029.052.5900.001Up
4Q45VN2Defa20Alpha-defensin 20393.212.5160.001Up
5P14115Rpl27a60S ribosomal protein L27a440.272.1530.000Up
6P84104Srsf3Serine/arginine-rich splicing factor 3262.162.1050.004Up
7Q9D7L8Tmigd1Transmembrane and immunoglobulin domain-containing protein 142.032.0810.000Up
8Q9D1R9Rpl3460S ribosomal protein L34227.642.0710.001Up
9P62984Uba52Ubiquitin-60S ribosomal protein L40326.892.0060.019Up
10Q9Z130HnrnpdlHeterogeneous nuclear ribonucleoprotein D-like167.322.0020.000Up
11P62754Rps640S ribosomal protein S61661.691.9980.001Up
12Q8BG05Hnrnpa3Heterogeneous nuclear ribonucleoprotein A3855.481.9840.010Up
13Q3TTY0Plb1Phospholipase B1, membrane-associated926.161.9620.007Up
14Q9CS00CactinCactin33.311.9610.046Up
15Q6PFR5Tra2aTransformer-2 protein homolog alpha235.151.9380.005Up
16P62270Rps1840S ribosomal protein S18853.501.9170.000Up
17P63276Rps1740S ribosomal protein S17363.001.9160.005Up
18P47963Rpl1360S ribosomal protein L13730.791.8710.000Up
19P09405NclNucleolin1192.561.8660.000Up
20Q9WV02RbmxRNA-binding motif protein, X chromosome268.551.8510.014Up
21P56959FusRNA-binding protein FUS304.311.8490.001Up
22P83882Rpl36a60S ribosomal protein L36a134.141.8410.000Up
23P62852Rps2540S ribosomal protein S25154.371.8400.000Up
24P62264Rps1440S ribosomal protein S14669.661.8160.010Up
25Q8K1N4Spats2Spermatogenesis-associated serine-rich protein 224.891.8120.004Up
26O55142Rpl35a60S ribosomal protein L35a248.541.8100.006Up
27Q9CZX8Rps1940S ribosomal protein S19517.651.8070.029Up
28Q9CXW4Rpl1160S ribosomal protein L11261.681.8060.011Up
29Q61470Cd37Leukocyte antigen CD3727.411.8010.049Up
30P70245Ebp3-beta-hydroxysteroid-Delta(8), Delta(7)-isomerase49.481.7930.002Up
31P70372Elavl1ELAV-like protein 1417.631.7930.000Up
32Q8VEK3HnrnpuHeterogeneous nuclear ribonucleoprotein U1053.621.7900.002Up
33Q61545Ewsr1RNA-binding protein EWS111.661.7880.000Up
34P41105Rpl2860S ribosomal protein L28425.771.7850.005Up
35Q99L45Eif2s2Eukaryotic translation initiation factor 2 subunit 2202.051.7810.000Up
36Q6PDM2Srsf1Serine/arginine-rich splicing factor 1384.951.7810.004Up
37Q99020HnrnpabHeterogeneous nuclear ribonucleoprotein A/B593.691.7810.001Up
38Q6ZWV7Rpl3560S ribosomal protein L35177.351.7800.002Up
39P62849Rps2440S ribosomal protein S24595.001.7470.011Up
40Q62189SnrpaU1 small nuclear ribonucleoprotein A251.931.7410.000Up

Top 40 up-regulated protein information.

TABLE 2

No.AccessionGene symbolDescriptionScoreFold change (ileum/jejunum)P-valueExpression
1Q8R0I0Ace2Angiotensin-converting enzyme 25441.540.6850.008Down
2O88627Slc28a2Sodium/nucleoside cotransporter 293.840.6800.014Down
3Q3U9N9Slc16a10Monocarboxylate transporter 10167.240.6680.019Down
4Q0VG18Smim24Small integral membrane protein 24682.870.6680.002Down
5Q60931Vdac3Voltage-dependent anion-selective channel protein 3448.050.6650.047Down
6P48758Cbr1Carbonyl reductase [NADPH] 1311.560.6540.026Down
7Q9QXW9Slc7a8Large neutral amino acids transporter small subunit 292.100.6450.033Down
8Q9JIL4Pdzk1Na(+)/H(+) exchange regulatory cofactor NHE-RF31923.690.6400.009Down
9Q75N73Slc39a14Zinc transporter ZIP1484.740.6400.010Down
10Q9DCN2Cyb5r3NADH-cytochrome b5 reductase 3623.130.6390.030Down
11O09131Gsto1Glutathione S-transferase omega-1273.140.6380.017Down
12Q9JHE3Asah2Neutral ceramidase1167.660.6380.004Down
13Q8VDB9Slc6a20aSodium- and chloride-dependent transporter XTRP3A40.670.6350.010Down
14Q8K0E3Slc5a11Sodium/myo-inositol cotransporter 2365.100.6220.000Down
15P09470AceAngiotensin-converting enzyme1955.220.6180.003Down
16O08601MttpMicrosomal triglyceride transfer protein large subunit5405.930.6130.026Down
17Q8C3K6Slc5a1Sodium/glucose cotransporter 1785.160.6060.007Down
18Q61391MmeNeprilysin3797.970.5970.006Down
19Q9WV38Slc2a5Solute carrier family 2, facilitated glucose transporter member 556.260.5960.009Down
20P34914Ephx2Bifunctional epoxide hydrolase 2548.110.5840.038Down
21Q8CIW6Slc26a6Solute carrier family 26 member 6639.880.5790.013Down
22Q64459Cyp3a11Cytochrome P450 3A11395.460.5760.030Down
23Q9Z0S1Bpnt13’(2’),5’-bisphosphate nucleotidase 1865.650.5730.017Down
24P24822IapIntestinal-type alkaline phosphatase2108.120.5730.000Down
25Q6DYE8Enpp3Ectonucleotide pyrophosphatase/phosphodiesterase family member 31258.820.5720.001Down
26Q91WG0Ces2cAcylcarnitine hydrolase671.420.5700.004Down
27P14246Slc2a2Solute carrier family 2, facilitated glucose transporter member 2342.700.5670.019Down
28P12791Cyp2b10Cytochrome P450 2B10214.300.5670.026Down
29Q08652Rbp2Retinol-binding protein 22305.260.5500.014Down
30Q8QZR3Ces2aPyrethroid hydrolase Ces2a453.700.5490.003Down
31P32020Scp2Non-specific lipid-transfer protein130.870.5430.002Down
32P63254Crip1Cysteine-rich protein 132.450.5260.007Down
33P06728Apoa4Apolipoprotein A-IV493.690.5250.007Down
34O08691Arg2Arginase-2, mitochondrial387.910.5220.013Down
35Q04447CkbCreatine kinase B-type784.180.5130.018Down
36Q8BK48Ces2ePyrethroid hydrolase Ces2e896.890.5030.006Down
37P12710Fabp1Fatty acid-binding protein, liver2016.150.4970.002Down
38Q08423Tff1Trefoil factor 139.090.4840.002Down
39P00329Adh1Alcohol dehydrogenase 1295.830.3870.011Down
40Q8K1F9LctlLactase-like protein27.660.3840.004Down

Top 40 down-regulated protein information.

SCHEDULE 1

No.AccessionGene symbolDescriptionScoreFold change (ileum/jejunum)P-valueExpression
1P70172Slc10a2Ileal sodium/bile acid cotransporter24.882.7340.000Up
2Q9R0M8Slc35a2UDP-galactose translocator65.231.3900.001Up
3Q8R000Slc51aOrganic solute transporter subunit alpha182.081.3450.006Up
4Q762D5Slc35d2UDP-N-acetylglucosamine/UDP-glucose/GDP-mannose transporter20.131.3450.002Up
5Q922Q5Slc35b3Adenosine 3′-phospho 5′-phosphosulfate transporter 225.751.3340.003Up
6D3Z5L6Slc18b1MFS-type transporter SLC18B134.591.3140.053Not
7P53986Slc16a1Monocarboxylate transporter 1208.230.7640.028Down
8Q8K4D3Slc36a1Proton-coupled amino acid transporter 154.680.7580.013Down
9Q9JIP7Slc15a1Solute carrier family 15 member 11489.240.7560.022Down
10O35488Slc27a2Very long-chain acyl-CoA synthetase233.950.7470.091Not
11Q3UVU3Slc30a10Zinc transporter 1075.210.7350.083Not
12Q5DTL9Slc4a10Sodium-driven chloride bicarbonate exchanger39.140.7340.025Down
13P32037Slc2a3Solute carrier family 2, facilitated glucose transporter member 325.830.7340.227Not
14Q8VEM8Slc25a3Phosphate carrier protein, mitochondrial250.320.7320.000Down
15Q9Z2J0Slc23a1Solute carrier family 23 member 126.970.7210.014Down
16G3 × 939Slc9a3Sodium/hydrogen exchanger 3395.760.7160.012Down
17Q9D687Slc6a19Sodium-dependent neutral amino acid transporter B(0)AT1263.890.7100.005Down
18P70441Slc9a3r1Na(+)/H(+) exchange regulatory cofactor NHE-RF11535.240.6990.000Down
19P10852Slc3a24F2 cell-surface antigen heavy chain1413.740.6940.013Down
20Q8BTY2Slc4a7Sodium bicarbonate cotransporter 3254.310.6920.031Down
21Q7TML3Slc35f2Solute carrier family 35 member F250.190.6910.000Down
22Q9EPR4Slc23a2Solute carrier family 23 member 253.340.6850.045Down
23O88627Slc28a2Sodium/nucleoside cotransporter 293.840.6800.014Down
24Q3U9N9Slc16a10Monocarboxylate transporter 10167.240.6680.019Down
25Q9QXW9Slc7a8Large neutral amino acids transporter small subunit 292.100.6450.033Down
26Q75N73Slc39a14Zinc transporter ZIP1484.740.6400.010Down
27Q8VDB9Slc6a20aSodium- and chloride-dependent transporter XTRP3A40.670.6350.010Down
28Q8K0E3Slc5a11Sodium/myo-inositol cotransporter 2365.100.6220.000Down
29Q8C3K6Slc5a1Sodium/glucose cotransporter 1785.160.6060.007Down
30Q9WV38Slc2a5Solute carrier family 2, facilitated glucose transporter member 556.260.5960.009Down
31Q8CIW6Slc26a6Solute carrier family 26 member 6639.880.5790.013Down
32P14246Slc2a2Solute carrier family 2, facilitated glucose transporter member 2342.700.5670.019Down

Solute carrier transporter protein information.

SCHEDULE 2

No.AccessionGene symbolDescriptionScoreFold change (ileum/jejunum)P-valueExpressionCluster
1P51162Fabp6Gastrotropin819.272.5950.005UpEnterocyte
2Q9D7L8Tmigd1Transmembrane and immunoglobulin domain-containing protein 142.032.0810.000UpEnterocyte
3P28825Mep1aMeprin A subunit alpha611.661.2970.000NotEnterocyte
4Q80WK2Slc51bOrganic solute transporter subunit beta32.541.2960.015NotEnterocyte
5Q7M758Naaladl1N-acetylated-alpha-linked acidic dipeptidase-like protein3050.061.2590.020NotEnterocyte
6P04441Cd74H-2 class II histocompatibility antigen gamma chain121.631.2240.004NotEnterocyte
7Q00623Apoa1Apolipoprotein A-I345.331.1700.010NotEnterocyte
8P29391Ftl1Ferritin light chain 1224.741.1490.011NotEnterocyte
9Q9Z2A7Dgat1Diacylglycerol O-acyltransferase 1299.611.0760.959NotEnterocyte
10Q9D312Krt20Keratin, type I cytoskeletal 20604.041.0590.027NotEnterocyte
11P09528Fth1Ferritin heavy chain197.161.0450.597NotEnterocyte
12Q62159RhocRho-related GTP-binding protein RhoC433.221.0380.002NotEnterocyte
13P19001Krt19Keratin, type I cytoskeletal 191029.771.0280.214NotEnterocyte
14Q9QYZ9Prss30Serine protease 3048.481.0030.164NotEnterocyte
15P21460Cst3Cystatin-C47.140.9760.847NotEnterocyte
16Q8K3K7Agpat21-acyl-sn-glycerol-3-phosphate acyltransferase beta143.840.9750.903NotEnterocyte
17E9Q414ApobApolipoprotein B-1002953.790.9710.690NotEnterocyte
18P31428Dpep1Dipeptidase 1959.010.9600.381NotEnterocyte
19P22599Serpina1bAlpha-1-antitrypsin 1-2142.900.9330.516NotEnterocyte
20Q8JZQ5Aoc1Amiloride-sensitive amine oxidase285.680.9270.016NotEnterocyte
21O70404Vamp8Vesicle-associated membrane protein 862.320.9230.013NotEnterocyte
22Q9ET47EspnEspin70.780.9070.057NotEnterocyte
23P97449AnpepAminopeptidase N20449.970.8870.013NotEnterocyte
24P01887B2mBeta-2-microglobulin573.230.8840.119NotEnterocyte
25E9Q7P9Cdhr2Cadherin-related family member 2756.200.8580.018NotEnterocyte
26Q8VHF2Cdhr5Cadherin-related family member 51755.790.8500.004NotEnterocyte
27P33622Apoc3Apolipoprotein C-III72.170.8450.402NotEnterocyte
28P18242CtsdCathepsin D70.480.8230.511NotEnterocyte
29Q9QXA6Slc7a9b(0, +)-type amino acid transporter 154.430.8060.082NotEnterocyte
30O88329Myo1aUnconventional myosin-Ia4066.400.7710.000NotEnterocyte
31Q8VDN2Atp1a1Sodium/potassium-transporting ATPase subunit alpha-119959.970.7700.036NotEnterocyte
32Q9Z2V4Pck1Phosphoenolpyruvate carboxykinase, cytosolic [GTP]163.750.7680.018DownEnterocyte
33P55050Fabp2Fatty acid-binding protein, intestinal1541.200.7400.001DownEnterocyte
34Q91Y97 (0.718)AldobFructose-bisphosphate aldolase B3717.860.7180.008DownEnterocyte
35P97328KhkKetohexokinase627.480.7160.008DownEnterocyte
36Q9D687Slc6a19Sodium-dependent neutral amino acid transporter B(0)AT1263.890.7100.005DownEnterocyte
37O09051Guca2bGuanylate cyclase activator 2B80.830.6850.058NotEnterocyte
38Q8R0I0Ace2Angiotensin-converting enzyme 25441.540.6850.008DownEnterocyte
39Q0VG18Smim24Small integral membrane protein 24 OS682.870.6680.002DownEnterocyte
40P09470AceAngiotensin-converting enzyme1955.220.6180.003DownEnterocyte
41P63254Crip1Cysteine-rich protein 132.450.5260.007DownEnterocyte
42P06728Apoa4Apolipoprotein A-IV OS493.690.5250.007DownEnterocyte
43P12710Fabp1Fatty acid-binding protein, liver2016.150.4970.002DownEnterocyte
44P14115Rpl27a60S ribosomal protein L27a440.272.1530.000UpGloblet
45P62281Rps1140S ribosomal protein S11517.601.6970.001UpGloblet
46P47964Rpl3660S ribosomal protein L36112.081.5690.003UpGloblet
47Q9JJI8Rpl3860S ribosomal protein L3858.641.5630.002UpGloblet
48Q9D7Z6Clca1Calcium-activated chloride channel regulator 14448.481.3920.011UpGloblet
49Q91VT8Smim14Small integral membrane protein 1434.711.3780.001UpGloblet
50O88312Agr2Anterior gradient protein 2 homolog196.891.2810.003NotGloblet
51P62274Rps2940S ribosomal protein S2950.381.2110.007NotGloblet
52Q9ERI2Rab27aRas-related protein Rab-27A41.661.1970.001NotGloblet
53Q8K0C5Zg16Zymogen granule membrane protein 16735.061.1640.180NotGloblet
54P62748Hpcal1Hippocalcin-like protein 138.781.1520.345NotGloblet
55P97805Fam3dProtein FAM3D555.061.1490.017NotGloblet
56P13020GsnGelsolin501.631.1370.008NotGloblet
57Q80YN3Bcas1Breast carcinoma-amplified sequence 1 homolog35.471.1070.074NotGloblet
58Q9D8C2Tspan13Tetraspanin-13137.691.1030.028NotGloblet
59O88310Itln1Intelectin-1a177.881.0990.050NotGloblet
60P58771Tpm1Tropomyosin alpha-1 chain136.141.0700.157NotGloblet
61Q91VW3Sh3bgrl3SH3 domain-binding glutamic acid-rich-like protein 320.791.0550.365NotGloblet
62Q62395Tff3Trefoil factor 3286.151.0550.365NotGloblet
63P55012Slc12a2Solute carrier family 12 member 2604.040.9800.771NotGloblet
64P05784Krt18Keratin, type I cytoskeletal 18214.220.9530.843NotGloblet
65Q9D7T1Rep15Rab15 effector protein28.610.9520.178NotGloblet
66P63323Rps1240S ribosomal protein S1249.830.9500.056NotGloblet
67Q9JMD3Stard10START domain-containing protein 1098.710.8660.432NotGloblet
68P09036Spink1Serine protease inhibitor Kazal-type 194.780.7770.120NotGloblet
69Q45VN2Defa20Alpha-defensin 20393.212.5160.001UpPeneth
70Q8C1N8Defa22Alpha-defensin 22315.951.5240.001UpPeneth
71Q5G865Defa24Alpha-defensin 2471.261.5150.003UpPeneth
72P17897Lyz1Lysozyme C-1517.861.3010.003UpPeneth
73P28309Defa2Alpha-defensin 249.471.2200.049NotPeneth
74Q64444Ca4Carbonic anhydrase 4168.491.1020.007NotPeneth
75P50711Defa13Alpha-defensin 1336.981.0810.135NotPeneth
76P26883Fkbp1aPeptidyl-prolyl cis-trans isomerase FKBP1A179.650.9490.031NotPeneth
77P41731Cd63CD63 antigen65.250.8900.852NotPeneth
78P08207S100a10Protein S100-A1059.240.8740.569NotPeneth
79Q9D7S0Lypd8Ly6/PLAUR domain-containing protein 8147.860.8350.000NotPeneth
80P50543S100a11Protein S100-A1196.640.8300.025NotPeneth
81O09051Guca2bGuanylate cyclase activator 2B80.830.6850.058NotPeneth
82Q9JLJ1SelenokSelenoprotein K24.221.2240.015NotEnteroendocrine
83P07309TtrTransthyretin24.021.1380.202NotEnteroendocrine
84Q62186Ssr4Translocon-associated protein subunit delta219.861.1090.000NotEnteroendocrine
85P16014ChgbSecretogranin-10.000.9730.687NotEnteroendocrine
86Q3UWA6Gucy2cHeat-stable enterotoxin receptor182.610.9610.467NotEnteroendocrine
87Q9D0J8PtmsParathymosin35.090.8000.010NotEnteroendocrine
88Q08423Tff1Trefoil factor 139.090.4840.002DownEnteroendocrine
89P62754Rps640S ribosomal protein S61661.691.9980.001UpProgenitor
90P62270Rps1840S ribosomal protein S18853.501.9170.000UpProgenitor
91P63276Rps1740S ribosomal protein S17363.001.9160.005UpProgenitor
92P47911Rpl660S ribosomal protein L61149.181.7320.001UpProgenitor
93Q9CZM2Rpl1560S ribosomal protein L15585.121.70.000UpProgenitor
94P14131Rps1640S ribosomal protein S16518.881.6920.000UpProgenitor
95P62983Rps27aUbiquitin-40S ribosomal protein S27a1180.021.6450.000UpProgenitor
96P62082Rps740S ribosomal protein S7493.661.5600.000UpProgenitor
97P61358Rpl2760S ribosomal protein L27356.711.5570.008UpProgenitor
98P62918Rpl860S ribosomal protein L81301.111.5270.000UpProgenitor
99P62717Rpl18a60S ribosomal protein L18a804.601.5240.001UpProgenitor
100P14148Rpl760S ribosomal protein L7852.981.5220.000UpProgenitor
101P53026Rpl10a60S ribosomal protein L10a842.421.5140.004UpProgenitor
102P47962Rpl560S ribosomal protein L5637.281.3300.003UpProgenitor
103P14206Rpsa40S ribosomal protein SA284.210.9570.094NotProgenitor
104Q9JHC0Gpx2Glutathione peroxidase 279.250.9090.548NotProgenitor
105Q91VS7Mgst1Microsomal glutathione S-transferase 198.930.9050.540NotProgenitor
106P99028UqcrhCytochrome b-c1 complex subunit 6, mitochondrial181.840.8320.091NotProgenitor
107Q60829Ppp1r1bProtein phosphatase 1 regulatory subunit 1B55.030.8310.164NotProgenitor
108Q9CR84Atp5g1ATP synthase F(0) complex subunit C1, mitochondrial43.520.7750.006NotProgenitor
109P10639TxnThioredoxin418.720.6860.012DownProgenitor
110P04184Tk1Thymidine kinase, cytosolic0.001.1100.037NotTA
111P30681Hmgb2High mobility group protein B2122.021.0390.340NotTA
112P17918PcnaProliferating cell nuclear antigen97.161.0350.033NotTA
113P63158Hmgb1High mobility group protein B1148.210.9790.094NotTA
114P0C0S6H2afzHistone H2A.Z185.480.8920.091NotTA
115P07607TymsThymidylate synthase0.000.8790.185NotTA
116P54227Stmn1Stathmin46.660.8630.149NotTA
117P26350PtmaProthymosin alpha418.820.7790.076NotTA
118P35979Rpl1260S ribosomal protein L121369.531.3230.002UpStem
119P60229Eif3eEukaryotic translation initiation factor 3 subunit E467.061.2880.005NotStem
120Q3UZZ4Olfm4Olfactomedin-4131.231.0370.012NotStem
121P55012Slc12a2Solute carrier family 12 member 2604.040.9800.771NotStem
122Q02013Aqp1Aquaporin-1111.240.7380.036DownStem
123Q91VM5Rbmxl1RNA binding motif protein, X-linked-like-1283.411.6010.037UpTuft
124Q9R0N0Galk1Galactokinase32.331.4080.009UpTuft
125P46735Myo1bUnconventional myosin-Ib497.041.3730.911NotTuft
126Q9R1Q6Tmem176bTransmembrane protein 176B22.451.0650.068NotTuft
127Q6WVG3Kctd12BTB/POZ domain-containing protein KCTD1264.550.9610.045NotTuft
128P05784Krt18Keratin, type I cytoskeletal 18214.220.9530.843NotTuft
129Q61152Ptpn18Tyrosine-protein phosphatase non-receptor type 1826.200.9430.204NotTuft
130P29351Ptpn6Tyrosine-protein phosphatase non-receptor type 672.240.9370.138NotTuft
131Q9CPT0Bcl2l14Apoptosis facilitator Bcl-2-like protein 1493.850.9230.374NotTuft
132Q8CIH5Plcg21-phosphatidylinositol 4,5-bisphosphate phosphodiesterase gamma-290.260.9170.589NotTuft
133P47738Aldh2Aldehyde dehydrogenase, mitochondrial188.390.8740.000NotTuft
134Q61735Cd47Leukocyte surface antigen CD47258.930.8030.056NotTuft
135P08103HckTyrosine-protein kinase HCK62.450.7870.195NotTuft
136Q9ERG0Lima1LIM domain and actin-binding protein 1480.760.7030.001DownTuft
137Q60931Vdac3Voltage-dependent anion-selective channel protein 3448.050.6650.047DownTuft
138P00329Adh1Alcohol dehydrogenase 1295.830.3870.011DownTuft

Marker protein information of intestinal cell cluster.

Bioinformatics Analysis

Gene Ontology Analysis of Intestinal Epithelial Cell Derived Exosomes Proteins From the Ileum and Jejunum

Differentially expressed proteins between ileum and jejunum IEC-Exos were mainly involved in the molecular functions of binding and hydrolase activity, suggesting that these proteins were mainly related to biological functions through target cell fusion (Figure 3A). CC was mainly distributed in bound organelles, the cytosol, the organelle lumen, the nucleus, the ribonucleoprotein complex, and the endomembrane system, reflecting the formation of IEC-Exo proteins (Figure 3B). BP was mainly involved in gene expression, metabolic processes, biosynthetic processes, regulation processes and transport (Figure 3C).

FIGURE 3

FIGURE 3

Top 15 of GO enrichment analysis in differentially expressed proteins between ileum and jejunum IEC-Exos. (A) GO molecular function analysis. (B) GO biological process analysis. (C) GO cellular component analysis.

Gene Ontology Analysis of Up-Regulated Proteins

Up-regulated proteins were involved in poly (A) binding, proteasome-activating ATPase activity, mRNA5′-UTR binding, RS domain binding and other complex molecular functions. CC was mainly distributed in cytosolic ribosomes, the large ribosomal subunit and the small ribosomal subunit. BP was mainly involved in cotranslational protein targeting to the membrane, the endoplasmic reticulum, the establishment of protein localization, and nuclear-transcribed mRNA catabolic processes (Figure 4A). It was suggested that the differentially expressed proteins with high expression in IEC-Exos from the ileum were mainly involved in protein biosynthesis and processing modifications.

FIGURE 4

FIGURE 4

Top 30 of GO enrichment in up/down regulated proteins in IEC-Exos. (A) GO enrichment analysis of up-regulated protein. (B) GO enrichment analysis of down-regulated protein.

Gene Ontology Analysis of Down-Regulated Proteins

Down-regulated proteins were involved in fatty acid binding, glutathione transferase activity, porin activity, peroxiredoxin activity, the glucose transmembrane transporter, the hexose transmembrane transporter and other complex molecular functions. CC was mainly distributed in the pore complex. BP was mainly involved in NAD metabolic processes, NADH metabolic processes, glutathione derivative biosynthetic processes, glucose metabolism, the tricarboxylic acid cycle and glycerol metabolic processes (Figure 4B). It was suggested that the differentially expressed proteins with high expression in IEC-Exos from the jejunum were mainly involved in the metabolism of the three major nutrients, sugar, fat and protein, and the redox reaction (antioxidant effect, integrated detoxification effect).

Kyoto Encyclopedia of Genes and Genomes Pathway Analysis

Kyoto Encyclopedia of Genes and Genomes Pathway Analysis of IEC-Exo Proteins From the Ileum and Jejunum

Differentially expressed proteins between ileum and jejunum IEC-Exos mediated metabolic pathways, ribosomes, spliceosomes, RNA transport and drug metabolism, etc. (Figure 5A).

FIGURE 5

FIGURE 5

Enrichment analysis of KEGG pathway. (A) KEGG pathway analysis of differentially expressed proteins between ileum and jejunum IEC-Exos. (B) KEGG pathway enrichment analysis of up-regulated protein. (C) KEGG pathway classification of up-regulated protein. (D) KEGG pathway enrichment analysis of down-regulated protein. (E) KEGG pathway classification of down-regulated protein.

Kyoto Encyclopedia of Genes and Genomes Pathway Analysis of Up-Regulated Proteins

The differentially expressed proteins with high expression in IEC-Exos from the ileum were mainly enriched in signaling pathways such as ribosome, spliceosome, RNA transport, and proteasome pathways (Figure 5B). The KEGG analysis results showed that these proteins were mainly involved in genetic information processing, including translation, transcription, folding, sorting, and degradation. These proteins mainly affected biological processes such as cell growth and death, lipid metabolism and signal transduction. In addition to being related to the function of the digestive system, these proteins were also related to the functions of the immune system, endocrine system, circulatory system and nervous system. In addition, these proteins were closely related to infectious diseases (viral or bacterial), cancers and immune diseases (Figure 5C).

Kyoto Encyclopedia of Genes and Genomes Pathway Analysis of Down-Regulated Proteins

The differentially expressed proteins with high expression in IEC-Exos from the jejunum were mainly enriched in signaling pathways such as metabolism, peroxisome, drug metabolism, and the renin angiotensin system (Figure 5D). The KEGG analysis results showed that these proteins were mainly involved in metabolic pathways, including carbohydrate metabolism, amino acid metabolism, lipid metabolism and other amino acid metabolism. These proteins mainly affected processes such as cell transport and catabolism, cellular immunity and signal transduction. In addition to being closely related to the function of the digestive system, these proteins were also related to the functions of the endocrine system, immune system, nervous system, excretory system, circulatory system, etc. Furthermore, these proteins were related to infectious diseases (bacterial, viral or parasitic), endocrine and metabolic diseases, cardiovascular diseases, cancers, immune diseases, neurodegenerative diseases and other diseases (Figure 5E).

Protein–Protein Interaction Network

The hub of the differentially expressed proteins between ileum and jejunum IEC-Exos included ribosomal proteins (Figure 6A). The PPI network showed that the up-regulated proteins in ileum IEC-Exos were FABP6, Slc10a2, and RPL27a (Figure 6B), which are mainly involved in bile acid transport, fatty acid metabolism and protein synthesis pathways. However, the up-regulated proteins in jejunum IEC-Exos mainly included ACE2, ACE, Pdzk1, Asah2, ADH1, ARG2, Slc2a2, and Rbp2 (Figure 6C), which mediate sugar metabolism, fatty acid metabolism, amino acid metabolism, drug metabolism, bone metabolism, vitamin absorption, the renin-angiotensin system (RAS), NO, etc.

FIGURE 6

FIGURE 6

Protein–protein interaction network. (A) PPI network analysis of the hub of the differentially expressed proteins between ileum and jejunum IEC-Exos. (B) PPI network analysis of up-regulated proteins. (C) PPI network analysis of up-regulated proteins.

Discussion

In this study, ileum and jejunum IEC-Exos were extracted by ultracentrifugation. Under transmission electron microscopy, both ileum and jejunum IEC-Exos presented as round or elliptical vesicles with a clear double-layered membrane structure, which conformed to the characteristics of exosomes. Subsequently, we detected the expression of the exosomal-specific marker proteins CD81 and TSG101 by western blotting. The results of nanoparticle tracking analysis showed that the diameter of ileum IEC-Exos was mainly concentrated at 30–130 nm, and the diameter of jejunum IEC-Exos was mainly concentrated at 30–120 nm, both of which were in the range of the diameter of exosomes.

Exosomes are rich in active substances, such as proteins, nucleic acids, and lipids. The proteins in exosomes play important roles in the processes of cellular material transport, signal transduction and antigen presentation. Exosomes derived from different cells have differences in the compositions and functions of their contents (Mathivanan et al., 2010; Pegtel and Gould, 2019). Proteomics studies on exosomes are of great significance for revealing the pathogenesis of related diseases, identifying biomarkers for disease diagnosis and prognosis, and screening disease treatment targets (Xiao et al., 2009; Kalluri and LeBleu, 2020).

In this study, for the first time, the iTRAQ quantitative proteomic approach combined with LC-MS/MS technology was used to detect IEC-Exo proteins, which was helpful for identifying exosomal proteins. The results showed that compared with jejunum IEC-Exos from ileum IEC-Exos, there were 393 up-regulated proteins and 346 down-regulated proteins, which indicated that differentially expressed proteins between ileum and jejunum IEC-Exos might perform different biological functions. Through analysis of biological information, we studied and compared the biological functions and related signaling pathways of the differential expressed proteins between ileum and jejunum IEC-Exos, which improved our understanding of the functions of the ileum and jejunum. Abundant exosomal proteins may have important significance in revealing the different biological functions between the ileum and jejunum.

The mammalian intestine is covered by a single layer of epithelial cells that is renewed every 4–5 days and performs the main functions of digestion and water and nutrient absorption. In addition, epithelial cells form a barrier against pathogens in the cavity. Due to the technological advancement of large-scale single-cell transcriptome profiling, more precise and comprehensive descriptions of cell types have been obtained from a multitude of organs.

Based on the expression of known marker genes in humans (Wang Y. et al., 2020) and mice (Haber et al., 2017), eight different cell types were identified, including enterocyte cells, goblet cells, Paneth cells, enteroendocrine cells, tuft cells, progenitor cells, transit amplifying (TA) cells and stem cells. In our study, the expression of IEC-Exo proteins was consistent with the abovementioned mRNA expression, indicating that various small intestinal epithelial cells can secrete exosomes. Furthermore, IEC-Exos contained a variety of cell-derived proteins and played an important role in regulating the biological functions of the intestine.

The small intestine is the main organ involved in nutrient digestion and absorption. Different sections of the small intestine have different digestion and absorption capacities for nutrient molecules (Borgstrom et al., 1957; Silk et al., 1974). Most of the digestion products of carbohydrates, proteins and lipids are absorbed in the duodenum and jejunum. When the nutrients in food reach the ileum, they are mostly digested and absorbed, so the ileum is the reserve part for absorption. However, the ileum has a unique role of actively absorbing bile salts and vitamin B12 and plays an important role in the digestion and absorption of fatty acids. Moreover, the small intestine is the main organ involved in oral drug absorption and drug metabolism (Billat et al., 2017). Studies have shown that small intestinal epithelial cells contain a large number of bioconverting enzymes. The longitudinal distributions of small intestinal cytochrome P450, glutathione S-transferase and bilirubin-uridine 5′-diphosphate (UDP)-glucuronyltransferase have a downward trend from the duodenum to the ileum (Tahir et al., 1988; Peters et al., 1989), suggesting that the antioxidant and detoxification effects of the proximal small intestine are stronger than that of the distal small intestine.

Intestinal epithelial cell derived exosomes selectively enrich protein bioactive components derived from small intestinal epithelial cells, which can regulate multiple functions and biological processes of cells after being taken up by target cells. Our study explored the MF, CC, and BP of differentially expressed proteins from ileum and jejunum IEC-Exos based on GO analysis. These proteins were mainly involved in gene expression, metabolic processes, biosynthetic processes, regulatory processes, and transport. The highly expressed differentially proteins – in ileum IEC-Exos were closely related to the transport of bile acids and the digestion and absorption of fatty acids. The level of participation of jejunum IEC-Exo proteins in of sugar, fat, protein, and drug metabolism and redox reactions was higher than that of ileum IEC-Exos, suggesting that the highly expressed differentially proteins in ileum and jejunum IEC-Exos played different biological roles, which was consistent with the aforementioned functions of the small intestine.

Kyoto encyclopedia of genes and genomes biological information analysis showed that the differentially expressed proteins between ileum and jejunum IEC-Exos were mainly involved in metabolic processes, the ribosome, the spliceosome, RNA transport and drug metabolism-other enzymes. The highly expressed differentially expressed proteins in ileum IEC-Exos were mainly enriched in genetic information processing pathways, which mainly affected processes such as cell growth and death, lipid metabolism and signal transduction. The highly expressed differentially expressed proteins in jejunum IEC-Exos were mainly enriched in metabolic pathways, which mainly affected cell transport and catabolism, cellular immunity, and signal transduction. These results indicated that the differentially expressed between the ileum and jejunum IEC-Exos participated in different signaling pathways and played important roles in regulating intestinal biological functions.

Ribosomal proteins and RNA form the ribosome, which is the organelle involved in protein synthesis. In addition to participating in protein synthesis, ribosomal proteins also have a wide range of in vitro functions in ribosomes, such as regulation of gene transcription, mRNA translation, cell proliferation, differentiation, and apoptosis (Warner and McIntosh, 2009; Zhou et al., 2015). In our study, PPI analysis showed that the core differentially expressed proteins between ileum and jejunum IEC-Exos included ribosomal proteins, which had the characteristics of active proliferation, strong self-renewing ability, and extensive biological functions of small intestinal epithelial cells. In particular, ileum IEC-Exos contained a variety of ribosomal proteins, suggesting that ileum epithelial cells participate in more physiological functions and pathophysiological processes than jejunum epithelial cells and have a stronger renewal speed and damage repair potential. Partial small bowel resection experiments performed in rats found (Ziegler et al., 1998) that the ileum exhibited a stronger adaptive growth ability than the jejunum, which was consistent with our results.

The core proteins FABP6 and SLC10A2, which were highly expressed in ileum IEC-Exos, are important bile acid transporters that are regulated by bile acids, cholesterol and hormones (Xiao and Pan, 2017). Dysfunctions of FABP6 and SLC10A2 are mainly involved in hepatobiliary diseases, inflammatory bowel disease, metabolic diseases and intestinal tumors. Thus, FABP6 and SLC10A2 are expected to become new targets for the treatment of related diseases and drug discovery (Zhang Y. et al., 2019; Yang et al., 2020). RPL27a is an important ribosomal protein that interacts with other ribosomal proteins to participate in protein synthesis. Clinical studies have found that RPL27a-related genes and pathways are closely related to the occurrence and development of intestinal tumors (Yajima et al., 2007; Yu et al., 2019). FABP6, SLC10A2, and RPL27a were highly expressed in ileum IEC-Exos, indicating that ileum IEC-Exos played key roles in bile acid transport, fatty acid digestion and absorption, and protein synthesis, which are associated with the occurrence and development of ileum functions and related diseases.

The SLC superfamily is one of the most important membrane transporter families in the cell membrane. The SLC superfamily is involved in essential physiological functions, such as intercellular substance transport, energy transfer, nutrition and metabolism, and signal transduction (Schumann et al., 2020). SLC transporters were found in jejunum IEC-Exos, indicating that they play an important role in the occurrence and development of material metabolism and related diseases, and are expected to become new therapeutic targets for the treatment of metabolic diseases.

Protein–protein interaction analysis further showed that ACE2, ACE, Pdzk1, Asah2, ADH1, ARG2, Slc2a2, and Rbp2 were enriched in jejunum IEC-Exos and participated in many signaling pathways. ACE2 and angiotensin-converting enzyme (ACE) are the key regulators of the RAS. The ACE2-Ang(1-7)-Mas receptor axis and ACE-Ang II-AT1 receptor axis are antagonistic to each other and interact with Mme, which plays an important role in regulating cardiovascular function, respiratory function, water and electrolyte balance, intestinal homeostasis, bone metabolism and nervous system function (Imai et al., 2010).

A novel coronavirus, SARS-CoV-2, has caused a global pandemic of COVID-19. Viral infection with SARS-CoV-2 causes a series of respiratory illnesses, including severe respiratory syndrome, indicating that the virus most likely infects respiratory epithelial cells and mainly spreads via the respiratory tract from human to human. However, gastrointestinal symptoms have been found in a substantial proportion of patients with COVID-19. Viral RNA has been detected in respiratory and stool specimens of patients, suggesting that SARS-CoV-2 may cause an enteric infection, in addition to a respiratory infection (Galanopoulos et al., 2020; Jin et al., 2021). Research has confirmed robust SARS-CoV-2 replication in human intestinal organoids, suggesting that the human intestinal tract may be a transmission route of SARS-CoV-2 (Zhou et al., 2020). It has been reported that ACE2 is the main host cell receptor of SARS-CoV-2 and that it plays a crucial role in the entry of virus into the cell to cause infection (Ziegler et al., 2020; Bickler et al., 2021). Furthermore, ACE2 expression has mainly been observed in human enterocytes, renal tubules, gallbladder, cardiomyocytes, vasculature and the lung (Hikmet et al., 2020). The distribution of viral receptors in different cell types of diverse tissues may indicate viral tropism and potential transmission routes, and SARS-CoV-2 productively infects human gut enterocytes (Lamers et al., 2020). IEC-Exos contained ACE2, which is new evidence that SARS-CoV-2 can infect intestinal cells.

Proteins, genomic molecules and receptors from infected cells make healthy cells more susceptible to infection. Exosome-mediated transfer of viruses may participate in viral infection (Pocsfalvi et al., 2020; Todd and Tripp, 2020) but has not yet been fully elucidated for coronaviruses. IEC-Exos may be a potential route of SARS-CoV-2 infection and may provide new ideas for further in-depth exploration of the mechanism of multiple organ damage in COVID-19. Jejunum IEC-Exos contained a higher level of ACE2 than ileum IEC-Exos, suggesting that the jejunum might be more susceptible to SARS-CoV-2. These findings provide a rich resource for future investigations of COVID-19 and its pathogenesis.

The small intestine is not only the main site of oral drug absorption but is also an important site of drug metabolism. The main site of intestinal absorption and metabolism of most oral drug formulations is the proximal small intestine because the proximal small intestine contains a large number of transporters and drug metabolism-related enzymes. The PDZ kinase 1 (PDZK1) protein is a member of a family of transporter adaptor proteins containing PDZ domains. The PDZK1 protein mainly binds to drug transporters and regulates their location, expression and function, which mediate the transmembrane transport of a variety of nutrients, endogenous substances and drugs (Sugiura et al., 2008; DeGorter et al., 2012). Jejunum IEC-Exos enriched a higher level of the PDZK1 protein than ileum IEC-Exos, providing further evidence that the jejunum plays a major role in drug absorption and metabolism.

The neutral ceramidase N-acylsphingosine amide hydrolase 2 (ASAH2) is a key enzyme in ceramide metabolism. ASAH2, which is expressed in the intestine, plays a major role in ceramide metabolism in the gut (Kono et al., 2006; Ohlsson et al., 2007), and ceramide mainly affects metabolic and disease states. An accumulation of ceramide has been observed in type 2 diabetes mellitus (T2DM), non-alcoholic fatty liver disease (NAFLD), inflammatory bowel disease (IBD), Alzheimer’s disease (AD), and cancer. Clarifying the role of ASAH2 in human diseases and determining its potential for use in the treatment of metabolic disorders and neurodegenerative diseases are critical (Parveen et al., 2019).

Traditionally, alcohol dehydrogenase 1 (ADH1) and aldehyde dehydrogenase 2 (ALDH2) in the liver are key enzymes in the ethanol metabolism pathway. Studies have shown that both ADH1 and ALDH2 are expressed in epithelial cells in the human digestive tract, especially in the proximal small intestine, which is the main site of ethanol metabolism (Chiang et al., 2012). ALDH1 (the ADH1 gene cluster: ADH1A, ADH1B, and ADH1C) plays a key role in the metabolic pathways of substances such as alcohol and retinol. Abnormal or unregulated expression of ALDH1 can cause liver disease, tumors, alcohol addiction and vitamin A absorption disorder (Gaviria-Calle et al., 2018; Wang S.C. et al., 2020; Sun et al., 2021). Jejunum IEC-Exos contained higher levels of ADH1, indicating that it plays an important role in ethanol metabolism and vitamin A absorption.

Arginase-2 (Arg-2) is expressed in the small intestine, kidney, brain, lactating mammary glands, monocytes, and macrophages (Kohler et al., 2008; Choi et al., 2012). Arg-2 and nitric oxide synthase (NOS) participate in the intracellular arginine metabolism pathway, regulating the intracellular concentration of arginine and the synthesis of NO, proline and polyamines in organisms. Furthermore, Arg-2 and NOS play important roles in regulating cardiovascular function, the inflammatory response, oxidative stress, immune function, and tumor occurrence and development. Inhibition of arginase is proposed as a method to improve antitumor immune responses (via activation and proliferation of T and NK cells) (Borek et al., 2020). Clinical studies have shown that L-Arginine/Nitric Oxide pathway was closely related to Crohn’s disease (CD) (Krzystek-Korpacka et al., 2020), CD can occur anywhere in the entire digestive tract, but is more common in the distal ileum and right colon. Compared with normal tissues, Arg-2 was down-regulated in the inflamed small intestine with CD. We found that IEC-Exos enriched Arg-2, especially ileum IEC-Exos contained lower levels of Arg-2, indicating that IEC-Exos may be involved in the pathogenesis of CD.

Slc2a2 (GLUT2) is expressed in small intestinal epithelial cells and mediates the glucose metabolism pathway, glucose absorption, and gluconeogenesis. In addition, GLUT2 participates in the glucagon and insulin signaling pathways, which are closely related to the occurrence of diabetes (O’Brien et al., 2018; Holman, 2020).

Retinol-binding protein 2 (Rbp2) is highly expressed in proximal small intestinal epithelial cells. The interactions between RBP2 and apolipoprotein are mainly involved in the binding, absorption, transport and metabolism of vitamin A and lipids (Blaner et al., 2020). Jejunum IEC-Exos contained high levels of RBP2, which could participate in the proliferation, migration, metastasis, and drug resistance of cancer cells. Thus, RBP2 may be a target for tumor treatment (Qi et al., 2014).

In addition to its important digestion and absorption functions, the intestine is also a very important immune organ and endocrine organ of the human body. Small intestinal epithelial cells synthesize and secrete a variety of cytokines to participate in the digestion and absorption of nutrients, microbial defense and immune responses, and endocrine functions. In our study, it was observed that the differentially expressed proteins enriched in ileum and jejunum IEC-Exos were not only closely related to the function of the digestive system but also related to infectious diseases, endocrine and metabolic diseases, cardiovascular diseases, cancers, immune diseases, neurodegenerative diseases and osteoarthritis. This study provides a new experimental basis for further in-depth study of the digestive system and disease occurrence.

Conclusion

In summary, IEC-Exos contained a variety of cytokines secreted by intestinal epithelial cells, and there were many differentially expressed proteins between ileum and jejunum IEC-Exos, which played different roles in regulating intestinal biological functions. The highly expressed differentially expressed proteins in ileum IEC-Exos mainly mediated the functions of bile acid transport, fatty acid metabolism, protein synthesis and processing modifications. Moreover, the proteins in jejunum IEC-Exos mainly mediated sugar metabolism, fatty acid metabolism, amino acid metabolism, drug metabolism, bone metabolism, vitamin absorption, the RAS and the NO signaling system. IEC-Exos, especially in the jejunum, contained high levels of ACE2, which provided further evidence that SARS-CoV-2 infection could occur in the intestine. This study provided an important basis for further in-depth study of the function of small intestinal epithelial cells and related diseases. However, these results were approached in the manner of bioinformatics analysis; therefore, further verification is required.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Data availability statement

The data presented in the study are deposited in the ProteomeXchange repository (http://www.proteomexchange.org/), accession number PXD030945.

Ethics statement

The animal study was reviewed and approved by 2020-0215.

Author contributions

ZD and CZ designed the research, performed the collection of exosome samples, and contributed to writing scripts. ZD, CZ, and BZ performed the proteome analysis and data analysis. QL supervised and guided the project. All the authors contributed to the article and approved the submitted version.

Funding

Supported by grants from the National Natural Science Foundation of China (81770542).

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.

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Summary

Keywords

exosomes, intestinal epithelial cells, proteomics, exosome proteins, ACE2

Citation

Ding Z, Zhang C, Zhang B and Li Q (2022) Unraveling the Proteomic Landscape of Intestinal Epithelial Cell-Derived Exosomes in Mice. Front. Physiol. 13:773671. doi: 10.3389/fphys.2022.773671

Received

10 September 2021

Accepted

14 January 2022

Published

23 February 2022

Volume

13 - 2022

Edited by

Stephen J. Pandol, Cedars-Sinai Medical Center, United States

Reviewed by

Nur Izzah Ismail, The Chinese University of Hong Kong, China; Raquel Arifa, Minas Gerais State University, Brazil

Updates

Copyright

*Correspondence: Zhenyu Ding,

†These authors have contributed equally to this work and share first authorship

This article was submitted to Gastrointestinal Sciences, a section of the journal Frontiers in Physiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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