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Cellular and Molecular Gastroenterology and Hepatology logoLink to Cellular and Molecular Gastroenterology and Hepatology
. 2018 Oct 12;7(2):313–337. doi: 10.1016/j.jcmgh.2018.10.002

Oral Glucose Mobilizes Triglyceride Stores From the Human Intestine

Changting Xiao 1, Priska Stahel 1, Alicia L Carreiro 2, Yu-Han Hung 2, Satya Dash 1, Ian Bookman 3, Kimberly K Buhman 2, Gary F Lewis 1,
PMCID: PMC6357697  PMID: 30704982

Abstract

Background & Aims

The small intestine regulates plasma triglyceride (TG) concentration. Within enterocytes, dietary TGs are packaged into chylomicrons (CMs) for secretion or stored temporarily in cytoplasmic lipid droplets (CLDs) until further mobilization. We and others have shown that oral and intravenous glucose enhances CM particle secretion in human beings, however, the mechanisms through which this occurs are incompletely understood.

Methods

Two separate cohorts of participants ingested a high-fat liquid meal and, 5 hours later, were assigned randomly to ingest either a glucose solution or an equivalent volume of water. In 1 group (N = 6), plasma and lipoprotein TG responses were assessed in a randomized cross-over study. In a separate group (N = 24), duodenal biopsy specimens were obtained 1 hour after ingestion of glucose or water. Ultrastructural and proteomic analyses were performed on duodenal biopsy specimens.

Results

Compared with water, glucose ingestion increased circulating TGs within 30 minutes, mainly in the CM fraction. It decreased the total number of CLDs and the proportion of large-sized CLDs within enterocytes. We identified 2919 proteins in human duodenal tissue, 270 of which are related to lipid metabolism and 134 of which were differentially present in response to glucose compared with water ingestion.

Conclusions

Oral glucose mobilizes TGs stored within enterocyte CLDs to provide substrate for CM synthesis and secretion. Future studies elucidating the underlying signaling pathways may provide mechanistic insights that lead to the development of novel therapeutics for the treatment of hypertriglyceridemia.

Keywords: Intestine, Glucose, Triglycerides, Cytoplasmic Lipid Droplets

Abbreviations used in this paper: CLD, cytoplasmic lipid droplet; CM, chylomicron; ER, endoplasmic reticulum; FA, fatty acid; GLP-2, glucagon-like peptide-2; GO, Gene Ontology; SNARE, soluble N-ethylmaleimide-sensitive factor attachment protein receptor; TG, triglyceride; TRL, triglyceride-rich lipoprotein; VLDL, very-low-density lipoprotein

Graphical abstract

graphic file with name fx1.jpg


See editorial on page 291.

Summary.

Triglycerides are retained in the human gut long after ingestion of dietary fat. Oral glucose subsequently mobilizes triglyceride stores from the gut by recruiting cytoplasmic lipid droplets for chylomicron synthesis and secretion.

Hypertriglyceridemia, resulting from accumulation of circulating triglyceride (TG)-rich lipoprotein (TRL) particles in both fasting and postprandial states, is a highly prevalent condition and a significant risk factor for cardiovascular disease.1 TGs, the main form of dietary fat, are hydrolyzed into fatty acids (FAs), glycerol, and monoglycerides by digestive enzymes in the intestinal lumen. These digestive products of dietary TGs are taken up by absorptive cells of the small intestine (enterocytes), where the majority of re-esterified TG is packaged into chylomicrons (CMs) and secreted into the circulation via the lymphatic system.2 There is increasing evidence that, beyond the dominant regulation by lipid substrate availability, the intestine actively participates in the regulation of whole-body lipid metabolism via nutrient, hormonal, metabolic, and neural regulatory pathways.3

Aside from rapid TG incorporation into CMs, the intestine can store a considerable quantity of fat for several hours after the absorptive phase.4 Studies in human beings suggest that dietary lipids originating from an earlier high-fat meal may contribute to CM TG after prolonged storage in the gut.5, 6, 7, 8 In addition, abundant lipid droplets are detected in human enterocytes 6 hours after ingestion of a high-fat liquid meal,9 and in mice up to 12 hours after an oral fat gavage.10 The exact site(s) of retained intestinal lipid stores and the quantity stored in each location have not been well characterized. Lipid droplets have been visualized in the cytoplasm of jejunal enterocytes in human beings9 and mice,10 and CMs have been observed in intracellular secretory pathways, in the lamina propria, and lacteals of the mesenteric lymphatics in human beings9 and rodents.10, 11, 12 Cytoplasmic lipid droplets (CLDs) are the best studied of these various lipid pools with respect to lipid storage and mobilization. CLDs consist of a neutral lipid core surrounded by a phospholipid monolayer. Numerous CLD-associated proteins have been identified and several have been shown to regulate CLD storage and metabolism.13, 14 The exact role of CLDs in the process of dietary fat absorption and their contribution to CM assembly and secretion is unknown, but studies in mice have indicated that CLD stores undergo dynamic changes in response to a dietary fat challenge.15 Therefore, it is thought that CLDs may function as a temporary storage pool of neutral lipids for incorporation in CMs at later time points.16, 17

Various dietary and hormonal factors play a role in mobilizing TGs stored within enterocytes from a previous meal. Several stimuli, including mixed meals,18 glucose ingestion,9 the gut hormone glucagon-like peptide-2 (GLP-2),19 and sham fat feeding,8 may trigger the mobilization of intestinal lipid stores. Ingestion of a mixed meal after a previous high-fat meal has been shown to elicit a peak in plasma TGs before the absorption of lipid from the current meal.20 Glucose ingestion 5 hours after a high-fat meal decreases lipid stores in human enterocytes.9 In healthy men, under the conditions of constant intraduodenal feeding and a pancreatic clamp, subcutaneous injection of GLP-2 caused a rapid and transient increase in plasma TGs and TRL particles.19 In the latter study we showed that GLP-2 mobilized lipid that was ingested 7 hours earlier, which likely was retained in 1 or more of the earlier-mentioned intestinal lipid pools.19 Furthermore, sham fat feeding was shown to stimulate CM secretion, suggesting the involvement of a neural regulatory pathway in intestinal lipid mobilization.8 Collectively, mounting evidence supports the existence of TG stores in the human intestine that are subject to release in response to certain stimuli. However, the specific mechanism(s) by which mobilization of intestinal TG stores occurs remain unclear.

The goal of this study was to investigate the mechanism by which oral glucose mobilizes TGs stored within enterocytes in human beings and to identify the specific lipid pools that are mobilized. In each experiment, participants ingested a high-fat liquid meal and, 5 hours later, ingested glucose or water. In aim 1, in vivo circulating lipid responses to oral glucose were examined. In aim 2, duodenal biopsy specimens were obtained and ultrastructural and molecular responses were characterized.

Results

Oral Glucose Ingested 5 Hours After a High-Fat Liquid Meal Acutely Increases Plasma TG Concentration

Lipid responses to oral glucose and water were measured in 6 healthy participants (Table 1) in a study design illustrated in Figure 1A. As anticipated in aim 1, plasma glucose levels increased in response to the ingestion of glucose, but not water (Figure 1B). After glucose ingestion, plasma insulin levels also increased from a basal level of approximately 30 pmol/L to peak at approximately 150 pmol/L at 30 minutes, followed by a gradual decline to basal level 2 hours later (Figure 1C). In both groups plasma TGs increased to a postprandial peak at approximately 3 hours after fat ingestion before decreasing toward baseline (Figure 1D). With water ingestion, the decrease in plasma TGs continued unabated and approached basal levels at approximately 7 hours. However, after glucose ingestion, plasma TGs plateaued during the following 2 hours (P = .024 glucose vs water).

Table 1.

Demographics and Biochemical Characteristics of Aim 1 Participants

Subject Age, y Weight, kg Height, cm BMI, kg/m2 Waist, cm Fasting glucose level, mmol/L Fasting TG level, mmol/L Fasting insulin level, pmol/L
1 58 72 178 23 95.5 5.6 0.76 35
2 46 77 166 27 101 4.9 0.73 48
3 46 87 182 26 100 4.5 0.97 37
4 53 76 172 25.7 87 4.9 1.99 94
5 29 87 182 26.4 94 4.4 0.68 36.5
6 57 84 179 26 88 4.5 0.59 29
Means 48.2 80.5 176.5 25.7 94.3 4.8 1.0 46.6
SE 4.4 2.6 2.6 0.6 2.4 0.2 0.2 9.8

BMI, body mass index.

Figure 1.

Figure 1

Lipid responses to oral glucose ingestion. (A) Study design. After an overnight fast, subjects ingested a high-fat liquid meal and 5 hours later ingested a glucose solution or equivalent volume of water in 2 randomized visits. (B) Blood glucose and (C) insulin concentrations during the study period. (D) TG concentrations in plasma during the study period, expressed as a percentage of baseline. (E–G) TG concentrations in total TRL, CM-sized TRL, and VLDL-sized TRL 2 hours after glucose or water ingestion, expressed as the percentage of levels at t = 5 hours. Arrows indicate time of glucose or water ingestion. All P values were with repeated-measures analysis of variance between 5 and 7 hours.

Oral Glucose Ingested 5 Hours After a High-Fat Liquid Meal Increased TGs in Total and CM-Sized, but Not in Smaller Very-Low-Density Lipoprotein–Sized, TRL Particles in the Circulation

Circulating total TRL TG tended to be higher after glucose vs water ingestion (P = .091) (Figure 1E). To identify whether large or small TRLs were most responsible for the increase in plasma and TRL TGs after glucose ingestion, TRLs were separated further by ultracentrifugation into larger CM-sized particles (Svedberg flotation > 400, predominantly comprising CMs) and smaller very-low-density lipoprotein (VLDL)-sized particles (Svedberg flotation 20–400, likely comprising both hepatically derived VLDL particles and smaller, intestinally derived CMs). An increase in TGs in the larger CM-sized TRL particles was observed with glucose ingestion (P = .049, analysis of variance) (Figure 1F). Despite interindividual variations, as is the usual case for most human mechanistic studies, the response was statistically significant because each subject showed a response to glucose, either a reversal of the decrease or an attenuated decrease. Changes in the smaller VLDL-sized TRL particles were similar with both glucose and water ingestion (P = .340) (Figure 1G). These results suggest that the increase in plasma TGs in response to glucose ingestion was owing exclusively to an increase in CM-sized TRL particles.

Presence of Lipid Pools Within the Intestinal Mucosa

Duodenal biopsy specimens were obtained 1 hour after glucose or water ingestion from 24 participants (Table 2). Enterocytes within biopsy specimens were subjected to ultrastructural analysis using transmission electron microscopy. Consistent with previous observations, the duodenal samples obtained 6 hours after fat ingestion contained considerable quantities of lipids both intracellularly and extracellularly (Figure 2A). Within enterocytes, lipids were observed in large CLDs (Figure 2B), in smaller lipid droplets within the endoplasmic reticulum (ER) (Figure 2C), and within the Golgi (Figure 2D). In addition, secreted CMs were present in the intercellular spaces between enterocytes. Overall, the enterocyte ultrastructure and lipid pools observed in human duodenal enterocytes appeared similar to what has been observed previously in mice.12

Table 2.

Demographics of Aim 2 Participants

Glucose Placebo
N 12 12
BMI, kg/m2 25.3 ± 0.9 25.5 ± 1.5
Age, y 34.6 ± 2.9 34.7 ± 3.1
Sex 4 M/8 F 2 M/10 F

NOTE. Data are means ± SE for BMI and age.

BMI, body mass index; F, female; M, male.

Figure 2.

Figure 2

Lipid pools within the intestinal mucosa. (A) A transmission electron microscopy image of an enterocyte from a duodenal biopsy specimen obtained 6 hours after a high-fat liquid meal and 1 hour after glucose ingestion. Lipid present within CLDs is shown (asterisk), as well as in secreted CMs in the intercellular space (white plus symbol). (B) An enterocyte containing lipid within several large CLDs (asterisk). (C) An enterocyte containing lipid within smaller lipid droplets in the ER, which are surrounded by a bilayer membrane and usually are observed at the apical side of the cell. (D) Lipid present within the Golgi of an enterocyte, which normally was observed above the nucleus. Scale bars: 1 μm (A, B, and D), and 0.5 μm (C).

Oral Glucose Mobilizes Enterocyte CLD Stores

We performed quantitative analyses of enterocyte CLDs in duodenal biopsy specimens obtained in a design similar to that of aim 1 (Figure 3A). After glucose and water ingestion, 34% and 44% of enterocytes per biopsy sample contained CLDs, respectively (Figure 3B) (P = .14). In the samples containing CLDs, there were fewer CLDs per cell in response to glucose compared with water (Figure 3C) (P = .02). Although the average diameters (P = .18) and areas (P = .17) of individual CLDs were not significantly different between treatments (data not shown), there were differences in the CLD diameter distributions, with more CLDs falling into the smaller size ranges and fewer into larger size ranges after glucose compared with water ingestion (Figure 3D) (P = .03). However, the difference between treatments in total CLD area per enterocyte did not reach statistical significance (Figure 3E) (P = .11). We also assessed the amount of lipids within the secretory pathway in enterocytes, which included lipids in the ER, Golgi, and Golgi-derived secretory vesicles. There were no significant differences in the proportion of biopsy specimens containing low, moderate, and high amounts of secretory lipids in response to glucose compared with water ingestion (Figure 3F) (P = .29, Fisher exact test). Taken together, glucose ingestion resulted in fewer CLDs in enterocytes and a shift toward smaller-sized CLDs.

Figure 3.

Figure 3

Oral glucose mobilizes enterocyte CLD stores. (A) Study design. Enterocyte CLD and secretory lipid stores were analyzed 6 hours after a high-fat liquid meal and 1 hour after glucose or water ingestion (N = 12 patients per group). (B) Percentage of enterocytes containing CLDs (P = .14, t test). (C) Average CLD number per cell (P = .022, t test). (D) CLD diameter distribution (P = .03, Kolmogorov–Smirnov test) and (E) average total CLD area per cell (P = .11, t test). (F) Amount of lipid within the secretory pathway (includes lipid in ER, Golgi, and secretory vesicles) (P = .29 Fisher exact test).

Oral Glucose Does Not Mobilize Lipids Within Enterocytes After Delayed Fasting

To investigate whether glucose mobilization of intestinal lipid stores persists after more prolonged fasting, a separate group of subjects (Table 3) ingested glucose or water 9 hours after the high-fat liquid meal. Duodenal biopsy specimens were collected 1 hour later (10 hours after ingesting the high-fat liquid meal). Under these conditions, no stimulatory effect of glucose on lipid mobilization was observed. There were no significant differences in the percentage of cells with CLDs, CLD number or size, or in the amount of lipids within the secretory pathway in enterocytes in response to glucose compared with water ingestion (Figure 4). This likely was owing to a lower proportion of enterocytes containing CLDs after prolonged fasting compared with the 6-hour fast (Figure 5). Thus, mobilization of enterocyte CLDs by oral glucose appears to depend on the presence of a sufficient pool of intestinal lipid stores retained in the enterocyte after fat ingestion.

Table 3.

Demographics of Additional Participants Participating in Aim 2 With Delayed Fasting

Glucose Placebo
N 5 5
BMI, kg/m2 23.8 ± 1.2 22.2 ± 1.4
Age, y 33.0 ± 3.8 33.6 ± 3.2
Sex 1 M/4 F 1 M/4 F

NOTE. Data are means ± SE for BMI and age.

BMI, body mass index; F, female; M, male.

Figure 4.

Figure 4

Analysis of enterocyte lipid stores in response to glucose or water ingestion after a delayed fast. (A) Study design. Duodenal biopsy specimens were obtained 10 hours after ingestion of a high-fat liquid meal and 1 hour after ingestion of glucose or water. (B) Percentage of enterocytes containing CLDs (P = .45). (C) Average CLD number per cell (P = .28). (D) CLD diameter distribution and (E) average total CLD area per cell (P = .18). (F) Amount of lipid within the secretory pathway (includes lipid in ER, Golgi, and secretory vesicles) (P = 1, Fisher exact test). Average CLD number and total CLD area per cell were compared with a t test.

Figure 5.

Figure 5

Comparison of enterocyte lipid stores after different fasting times. (A) Percentage of cells containing CLDs (P = .025) and (B) amount of lipid within the secretory pathway (P = .15, Fisher exact test) in individuals at 6 hours compared with 10 hours after the high-fat liquid meal (and 1 h after water consumption). *P < .05, t test.

Differential Expression of Proteins in Duodenal Biopsy Specimens From Subjects Administered Glucose or Water After a High-Fat Liquid Meal

Untargeted proteomic analysis of duodenal biopsy specimens identified 2919 proteins, with 2900 present in both water and glucose ingestion conditions, only 9 were identified in response to glucose and only 10 were identified in response to water ingestion (Figure 6A). A total of 48 of these proteins were present at relatively lower levels and 86 were present at relatively higher levels in response to glucose compared with water (Table 4). After correction for multiple statistical tests, the relative levels of 7 proteins remained significantly different between treatments.

Figure 6.

Figure 6

Proteins present in duodenal biopsy specimens from subjects administered glucose or water after a high-fat liquid meal. Duodenal biopsy specimens were collected 6 hours after lipid and 1 hour after glucose or water ingestion from patients undergoing a diagnostic endoscopy (N = 12 patients per group). (A) Venn diagram of proteins identified in response to glucose or water ingestion. Proteins present in at least 3 samples in 1 group and 0 samples in the other group were considered present in only 1 group. Proteins identified in at least 3 samples in 1 group and at least 1 sample in the other group were considered present in both groups. (B) Percentage of proteins within broad functional groups that were present at either relatively lower (48 total proteins) or relatively higher (86 total proteins) levels in response to glucose compared with water ingestion, as classified based on their biological/molecular functions. Only proteins that were identified in at least 3 samples in both groups and present at relatively different levels (P < .05, t test), or at least 3 samples in 1 group and 0 samples in the other group, were included in this classification. A Database for Annotation, Visualization, and Integrated Discovery search of the 2919 identified proteins resulted in the identification of 270 proteins with GO terms related to lipid metabolism. (C) Percentage of the 270 lipid metabolism-related proteins involved in more specific lipid-related functions. (D) String analysis of the 270 lipid metabolism-related proteins. The thickness of the line represents the strength of evidence of a structural/functional relationship between 2 proteins. Cluster 1 is enriched in proteins involved in TG and phospholipid (PL) synthesis and metabolism, cluster 2 is enriched in proteins involved in lipoprotein metabolism, cluster 3 is enriched in proteins involved in cholesterol/steroid metabolism, and cluster 4 is enriched in proteins involved in FA modification/metabolism/transport. Proteins that were present at relatively different levels in response to glucose compared with water consumption (P < .05, t test) are circled in red. TAG, triacylglycerol.

Table 4.

Proteins Present at Relatively Different Levels in Duodenal Biopsy Specimens From Subjects Administered Glucose or Water After a High-Fat Liquid Meal

Uniprot accession Protein name Gene name Fold change t test P value Function
P05997 Collagen α-2(V) chaina COL5A2 -7.4957 .0030 Other (extracellular matrix protein)
Q5T5C0 Syntaxin-binding protein 5a STXBP5 -6.8628 4.72E-22 Protein folding/transport
Q8N2S1 Latent-transforming growth factor β-binding protein 4a LTBP4 -6.7854 .0002 Protein folding/transport
O14672 Disintegrin and metalloproteinase domain-containing protein 10a ADAM10 -6.7264 .0010 Protein metabolism
P17480 Nucleolar transcription factor 1a UBTF -6.2100 .0063 Transcription/RNA processing/translation
Q8N8S7 Protein enabled homologa ENAH -5.7620 .0007 Cytoskeleton
Q7Z6K5 Arpina ARPIN -5.7573 2.02E-19 Cytoskeleton
Q9UQ35 Serine/arginine repetitive matrix protein 2a SRRM2 -5.5687 .0002 Transcription/RNA processing/translation
P49790 Nuclear pore complex protein Nup153a NUP153 -5.1794 .0079 Transcription/RNA processing/translation
Q9NRG7 Epimerase family protein SDR39U1a SDR39U1 -4.1142 3.26E-28 Mitochondria/redox
P16403 Histone H1.2 HIST1H1C -1.0513 .0213 Histone
P01860 Immunoglobulin heavy constant γ 3 IGHG3 -1.0063 .0007 Immune response
P13284 γ-interferon–inducible lysosomal thiol reductase IFI30 -1.0048 .0116 Mitochondria/redox
P35580 Myosin-10 MYH10 -0.9176 .0449 Cytoskeleton
P08590 Myosin light chain 3 MYL3 -0.8947 .0464 Other (regulation of muscle contraction)
Q71UI9 Histone H2A.V H2AFV -0.8933 .0072 Histone
Q71DI3 Histone H3.2 -0.8572 .0338 Histone
A0A0B4J1X5 Immunoglobulin heavy variable 3–74 IGHV3-74 -0.8112 .0076 Immune response
Q99829 Copine-1 CPNE1 -0.7877 .0101 Transcription/RNA processing/translation
P01780 Immunoglobulin heavy variable 3–7 IGHV3-7 -0.7127 .0154 Immune response
P42167 Lamina-associated polypeptide 2; isoforms β/γ TMPO -0.6933 .0453 Cell–cell adhesion
P0CG06 Immunoglobulin λ constant 2 IGLC2 -0.6852 .0260 Immune response
Q96KA5 Cleft lip and palate transmembrane protein 1–like protein CLPTM1L -0.6539 .0031 Other (apoptosis)
P01859 Immunoglobulin heavy constant γ 2 IGHG2 -0.6532 .0234 Immune response
P84243 Histone H3.3 H3F3A -0.6487 .0236 Histone
Q8IUX7 Adipocyte enhancer-binding protein 1 AEBP1 -0.637 .0226 Transcription/RNA processing/translation
Q09666 Neuroblast differentiation-associated protein AHNAK AHNAK -0.635 .0397 Cell–cell adhesion
Q9BY50 Signal peptidase complex catalytic subunit SEC11C SEC11C -0.6182 .0288 Protein metabolism
P07305 Histone H1.0 H1F0 -0.5824 .0446 Histone
P01857 Immunoglobulin heavy constant γ 1 IGHG1 -0.5542 .0206 Immune response
Q9UEW8 STE20/SPS1-related proline-alanine–rich protein kinase STK39 SPAK -0.5436 .0033 Kinase
P30405 Peptidyl-prolyl cis-trans isomerase F; mitochondrial PPIF -0.5252 .0168 Protein folding/transport
P56378 6.8-kilodalton mitochondrial proteolipid MP68 -0.4738 .0418 Mitochondria/redox
P61758 Prefoldin subunit 3 VBP1 -0.4401 .0427 Protein folding/transport
Q96L92 Sorting nexin-27 SNX27 -0.427 .0158 Protein folding/transport
O75323 Protein NipSnap homolog 2 GBAS -0.4059 .0315 Mitochondria/redox
O75190 DnaJ homolog subfamily B member 6 DNAJB6 -0.3578 .0384 Protein folding/transport
Q86UP2 Kinectin KTN1 -0.3174 .0401 Cell–cell adhesion
Q15629 Translocating chain-associated membrane protein 1 TRAM1 -0.3048 .0452 Protein folding/transport
Q9BWS9 Chitinase domain-containing protein 1 CHID1 -0.2768 .0223 Immune response
O00186 Syntaxin-binding protein 3 STXBP3 -0.2611 .0332 Protein folding/transport
Q02543 60S ribosomal protein L18a RPL18A -0.2238 .0089 Transcription/RNA processing/translation
P13861 cAMP-dependent protein kinase type II-α regulatory subunit PRKAR2A -0.217 .0098 Kinase
P84085 ADP-ribosylation factor 5 ARF5 -0.1788 .0354 Protein folding/transport
P28482 Mitogen-activated protein kinase 1 MAPK1 -0.1528 .0078 Kinase
P59998 Actin-related protein 2/3 complex subunit 4 ARPC4 -0.1477 .0141 Cytoskeleton
O15145 Actin-related protein 2/3 complex subunit 3 ARPC3 -0.145 .0464 Cytoskeleton
Q5VTE0 Putative elongation factor 1-α–like 3 EEF1A1P5 -0.134 .0151 Transcription/RNA processing/translation
Q8IZ83 Aldehyde dehydrogenase family 16 member A1 ALDH16A1 0.1539 .0433 Mitochondria/redox
Q96A33 Coiled-coil domain-containing protein 47 CCDC47 0.1676 .0403 Other (calcium ion homeostasis, ERAD)
Q9NPA0 ER membrane protein complex subunit 7 EMC7 0.1744 .0474 Other (carbohydrate binding)
Q15417 Calponin-3 CNN3 0.1993 .0488 Cytoskeleton
P21281 V-type proton ATPase subunit B; brain isoform ATP6V1B2 0.2023 .0460 Ion transport
P48556 26S proteasome non-ATPase regulatory subunit 8 PSMD8 0.209 .0347 Protein metabolism
O14734 Acyl-coenzyme A thioesterase 8 ACOT8 0.2101 .0177 Lipid metabolism
Q9NS69 Mitochondrial import receptor subunit TOM22 homolog TOMM22 0.2105 .0281 Mitochondria/redox
P11940 Polyadenylate-binding protein 1 PABPC1 0.2111 .0441 Transcription/RNA processing/translation
P78344 Eukaryotic translation initiation factor 4 γ 2 EIF4G2 0.2114 .0490 Transcription/RNA processing/translation
Q14974 Importin subunit β-1 KPNB1 0.2177 .0417 Protein folding/transport
Q13200 26S proteasome non-ATPase regulatory subunit 2 PSMD2 0.2182 .0108 Protein metabolism
O95782 AP-2 complex subunit α-1 AP2A1 0.219 .0059 Protein folding/transport
Q93034 Cullin-5 CUL5 0.2198 .0058 Protein metabolism
Q9UNZ2 NSFL1 cofactor p47 NSFL1C 0.2214 .0150 Protein metabolism
Q9BTM9 Ubiquitin-related modifier 1 URM1 0.2221 .0047 Transcription/RNA processing/translation
O75436 Vacuolar protein sorting-associated protein 26A VPS26A 0.2305 .0230 Protein folding/transport
P25788 Proteasome subunit α type-3 PSMA3 0.2323 .0358 Protein metabolism
Q9Y2Z0 Protein SGT1 homolog SUGT1 0.2356 .0128 Protein metabolism
Q9P2J5 Leucine-tRNA ligase; cytoplasmic LARS 0.2405 .0207 Transcription/RNA processing/translation
P38606 V-type proton ATPase catalytic subunit A ATP6V1A 0.2418 .0123 Ion transport
Q93008 Probable ubiquitin carboxyl-terminal hydrolase FAF-X USP9X 0.2423 .0467 Protein metabolism
P11142 Heat shock cognate 71-kilodalton protein HSPA8 0.253 .0051 Protein folding/transport
P55060 Exportin-2 CSE1L 0.2541 .0385 Protein folding/transport
O75146 Huntingtin-interacting protein 1–related protein HIP1R 0.259 .0285 Cytoskeleton
O96008 Mitochondrial import receptor subunit TOM40 homolog TOMM40 0.2593 .0076 Mitochondria/redox
P15531 Nucleoside diphosphate kinase A NME1 0.271 .0213 Kinase
P46734 Dual-specificity mitogen-activated protein kinase kinase 3 MAP2K3 0.2752 .0373 Kinase
P28070 Proteasome subunit β type-4 PSMB4 0.2764 .0158 Protein Metabolism
O75381 Peroxisomal membrane protein PEX14 PEX14 0.2803 .0238 Protein folding/transport
Q9NUQ8 ATP-binding cassette subfamily F member 3 ABCF3 0.2846 .0347 Cell–cell adhesion
Q9Y697 Cysteine desulfurase; mitochondrial NFS1 0.2919 .0167 Protein metabolism
Q02790 Peptidyl-prolyl cis-trans isomerase FKBP4 FKBP4 0.2953 .0477 Protein folding/transport
Q15020 Squamous cell carcinoma antigen recognized by T cell 3 SART3 0.3007 .0457 Transcription/RNA processing/translation
Q01813 ATP-dependent 6-phosphofructokinase; platelet type PFKP 0.3087 .0367 Carbohydrate metabolism
Q5H9R7 Serine/threonine-protein phosphatase 6 regulatory subunit 3 PPP6R3 0.3154 .0231 Protein metabolism
O95433 Activator of 90-kilodalton heat shock protein ATPase homolog 1 AHSA1 0.3177 .0091 Protein folding/transport
O00231 26S proteasome non-ATPase regulatory subunit 11 PSMD11 0.3221 .0158 Protein metabolism
P31689 DnaJ homolog subfamily A member 1 DNAJA1 0.3234 .0479 Protein folding/transport
O75915 PRA1 family protein 3 ARL6IP5 0.3236 .0439 Cytoskeleton
Q9ULA0 Aspartyl aminopeptidase DNPEP 0.3283 .0271 Protein metabolism
Q99757 Thioredoxin; mitochondrial TXN2 0.3371 .0343 Mitochondria/redox
Q9NTX5 Ethylmalonyl-CoA decarboxylase ECHDC1 0.341 .0450 Lipid metabolism
Q96GK7 Fumarylacetoacetate hydrolase domain-containing protein 2A FAHD2A 0.35 .0195 Other (potential hydrolase)
Q9Y3D9 28S ribosomal protein S23; mitochondrial MRPS23 0.3593 .0114 Transcription/RNA processing/translation
P23526 Adenosylhomocysteinase AHCY 0.3976 .0216 Other (regulation of methylation)
P18827 Syndecan-1 SDC1 0.4174 .0314 Other (cell migration)
P08621 U1 small nuclear ribonucleoprotein 70 kilodaltons SNRNP70 0.4216 .0144 Transcription/RNA processing/translation
P28838 Cytosol aminopeptidase LAP3 0.4431 .0436 Protein metabolism
Q9NR19 Acetyl-coenzyme A synthetase; cytoplasmic ACSS2 0.4512 .0470 Lipid metabolism
Q8N5G0 Small integral membrane protein 20 SMIM20 0.4532 .0296 Mitochondria/redox
P49247 Ribose-5-phosphate isomerase RPIA 0.4698 .0326 Carbohydrate metabolism
Q9Y333 U6 snRNA-associated Sm-like protein LSm2 LSM2 0.4741 .0355 Transcription/RNA processing/translation
Q9H490 Phosphatidylinositol glycan anchor biosynthesis class U protein PIGU 0.4799 .0487 Lipid metabolism
O75382 Tripartite motif-containing protein 3 TRIM3 0.485 .0174 Immune response
Q15125 3-β-hydroxysteroid-Δ(8); Δ(7)-isomerase EBP 0.4859 .0413 Lipid metabolism
Q16881 Thioredoxin reductase 1; cytoplasmic TXNRD1 0.4905 .0148 Mitochondria/redox
P07108 Acyl-CoA binding protein DBI 0.4917 .0382 Lipid metabolism
P48637 Glutathione synthetase GSS 0.4944 .0440 Other (glutathione synthesis)
O76003 Glutaredoxin-3 GLRX3 0.4953 .0403 Mitochondria/redox
Q12882 Dihydropyrimidine dehydrogenase [NADP(+)] DPYD 0.5076 .0165 Mitochondria/redox
Q9NWU5 39S ribosomal protein L22; mitochondrial MRPL22 0.526 .0101 Transcription/RNA processing/translation
Q9NVS9 Pyridoxine-5'-phosphate oxidase PNPO 0.5395 .0337 Mitochondria/redox
Q9UHY7 Enolase-phosphatase E1 ENOPH1 0.5544 .0307 Protein metabolism
P16930 Fumarylacetoacetase FAH 0.5694 .0236 Protein metabolism
P48506 Glutamate-cysteine ligase catalytic subunit GCLC 0.5745 .0241 Mitochondria/redox
Q8N983 39S ribosomal protein L43; mitochondrial MRPL43 0.5932 .0266 Transcription/RNA processing/translation
Q9UBM7 7-dehydrocholesterol reductase DHCR7 0.6045 .0283 Lipid metabolism
P48147 Prolyl endopeptidase PREP 0.6099 .0244 Protein metabolism
P82673 28S ribosomal protein S35; mitochondrial MRPS35 0.6118 .0363 Transcription/RNA processing/translation
Q8WVX9 Fatty acyl-CoA reductase 1 FAR1 0.6231 .0223 Lipid metabolism
Q9Y679 Ancient ubiquitous protein 1 AUP1 0.6292 .0093 Protein metabolism
P37840 α-synuclein SNCA 0.6332 .0063 Mitochondria/redox
Q9BRF8 Serine/threonine-protein phosphatase CPPED1 CPPED1 0.6702 .0313 Protein metabolism
Q6UX53 Methyltransferase-like protein 7B METTL7B 0.7067 .0210 Other (probable methyltransferase)
P02792 Ferritin light chain FTL 0.8169 .0124 Ion transport
P02794 Ferritin heavy chain FTH1 0.8959 .0144 Mitochondria/redox
Q9BVL4 Selenoprotein Ob SELENOO 5.0987 .0002 Mitochondria/redox
Q9HB07 UPF0160 protein MYG1; mitochondrialb C12orf10 5.9843 5.8E-16 Mitochondria/redox
P22090 40S ribosomal protein S4b RPS4Y1 6.7537 .0018 Transcription/RNA processing/translation
Q9P003 Protein cornichon homolog 4b CNIH4 7.1618 1.74E-15 Protein folding/transport
O60938 Keratocanb KERA 7.4582 .0050 Other (keratan sulfate metabolism/cornea development)
Q9C0D9 Ethanolaminephosphotransferase 1b SELENOI 7.4638 .0005 Lipid metabolism
Q96HV5 Transmembrane protein 41Ab TMEM41A 7.5997 .0023 Other (transmembrane protein)
P62306 Small nuclear ribonucleoprotein Fb SNRPF 7.7847 3.21E-17 Transcription/RNA processing/translation
Q8NDA2 Hemicentin-2b HMCN2 11.5204 3.81E-16 Immune response

NOTE. Proteins identified in at least 3 samples in both groups, or at least 3 samples in 1 group and 0 samples in the other group, were compared. Proteins present at significantly different levels within the 2 treatment groups (P < .05, t test) are shown. Average fold change of proteins in response to glucose relative to water consumption are presented. Numbers in the “Fold change” column represent how much higher (or lower if negative) the protein levels were in the glucose group compared with the water group. Proteins are listed in descending order according to relative fold change, with negative fold change values indicating relative down-regulation by glucose (listed at the top of the table) followed by those up-regulated by glucose indicated by a positive fold change (with greatest positive fold change listed at the bottom of table).

ADP, adenosine diphosphate; ATP, adenosine triphosphate; ATPase, adenosine triphosphatase; cAMP, cyclic adenosine monophosphate; ERAD, endoplasmic-reticulum-associated protein degradation; NADP, nicotinamide adenine dinucleotide phosphate; redox, reduction-oxidation; tRNA, transfer ribonucleic acid.

a

Only identified in response to water.

b

Only identified in response to glucose.

The differentially expressed proteins (defined as P < .05 between treatment groups) were classified into broad groups based on gene ontology (GO) terms for biological processes and molecular functions (Table 5, Figure 6B). Among the 48 proteins present at relatively lower levels in response to glucose, protein folding/transport (19%), immune response (15%), and transcription/RNA processing/translation (15%) were the most abundant functions. Of the 86 proteins present at relatively higher levels in response to glucose, those involved in protein metabolism (21%), mitochondria/redox (16%), and transcription/RNA processing/translation (15%) were the most abundant. Interestingly, in response to glucose compared with water ingestion, histone proteins were present at relatively lower levels, while those involved in carbohydrate metabolism, ion transport, and lipid metabolism all were present at relatively higher levels.

Table 5.

GO Terms Associated With Lipid Metabolism-Related Proteins Present in Duodenal Biopsy Specimens 6 Hours After a High-Fat Liquid Meal

Cholesterol/steroid metabolism
 UP_KEYWORDS Cholesterol biosynthesis
 GOTERM_BP_DIRECT Cholesterol biosynthetic process
 UP_KEYWORDS Cholesterol metabolism
 UP_KEYWORDS Steroid biosynthesis
 KEGG_PATHWAY Steroid hormone biosynthesis
 UP_KEYWORDS Steroid metabolism
 UP_KEYWORDS Sterol biosynthesis
 GOTERM_MF_DIRECT Sterol esterase activity
 UP_KEYWORDS Sterol metabolism
CLD storage/metabolism
 GOTERM_CC_DIRECT Lipid droplet
 GPTERM_BP_DIRECT Lipid storage
 CM trafficking
 GOTERM_CC_DIRECT COPII vesicle coat
 GOTERM_CC_DIRECT ER to Golgi transport vesicle membrane
 GOTERM_MF_DIRECT SNARE binding
 GOTERM_CC_DIRECT SNARE complex
 GOTERM_BP_DIRECT Vesicle fusion
Eicosanoid metabolism
 UP_KEYWORDS Leukotriene biosynthesis
 GOTERM_BP_DIRECT Leukotriene biosynthetic process
 GOTERM_BP_DIRECT Leukotriene metabolic process
 GOTERM_BP_DIRECT Prostaglandin biosynthetic process
FA modification/metabolism/transport
 GOTERM_BP_DIRECT Fatty acid biosynthetic process
 GOTERM_MF_DIRECT 3-hydroxyacyl-CoA dehydrogenase activity
 INTERPRO 3-hydroxyacyl-CoA dehydrogenase, conserved site
 INTERPRO 3-hydroxyacyl-CoA dehydrogenase, C-terminal
 INTERPRO 3-hydroxyacyl-CoA dehydrogenase, NAD binding
 GOTERM_MF_DIRECT Acyl-CoA dehydrogenase activity
 INTERPRO Acyl-CoA dehydrogenase, conserved site
 INTERPRO Acyl-CoA dehydrogenase/oxidase
 INTERPRO Acyl-CoA dehydrogenase/oxidase C-terminal
 INTERPRO Acyl-CoA dehydrogenase/oxidase, N-terminal
 GOTERM_MF_DIRECT Acyl-CoA hydrolase activity
 GOTERM_BP_DIRECT Acyl-CoA metabolic process
 INTERPRO Acyl-CoA oxidase
 PIR_SUPERFAMILY Acyl-CoA oxidase
 INTERPRO Acyl-CoA oxidase, C-terminal
 INTERPRO Acyl-CoA oxidase/dehydrogenase, central domain
 INTERPRO AMP binding, conserved site
 INTERPRO AMP-dependent synthetase/ligase
 GOTERM_MF_DIRECT Decanoate-CoA ligase activity
 INTERPRO Domain of unknown function DUF4009
 GOTERM_BP_DIRECT Fatty acid β-oxidation
 GOTERM_BP_DIRECT Fatty acid β-oxidation using acyl-CoA dehydrogenase
 GOTERM_BP_DIRECT Fatty acid β-oxidation using acyl-CoA oxidase
 KEGG_PATHWAY Fatty acid biosynthesis
 KEGG_PATHWAY Fatty acid degradation
 GOTERM_BP_DIRECT Fatty acid elongation
 GOTERM_BP_DIRECT Fatty acid metabolic process
 KEGG_PATHWAY Fatty acid metabolism
 GOTERM_BP_DIRECT Fatty acid transport
 GOTERM_MF_DIRECT Fatty-acyl-CoA binding
 GOTERM_BP_DIRECT Fatty-acyl-CoA biosynthetic process
 GOTERM_BP_DIRECT Lipid homeostasis
 GOTERM_BP_DIRECT Long-chain fatty acid import
 GOTERM_BP_DIRECT Long-chain fatty acid metabolic process
 GOTERM_MF_DIRECT Long-chain fatty acid-CoA ligase activity
 GOTERM_BP_DIRECT Long-chain fatty-acyl-CoA biosynthetic process
 GOTERM_BP_DIRECT Long-chain fatty-acyl-CoA metabolic process
 GOTERM_MF_DIRECT Very long-chain fatty acid-CoA ligase activity
Lipid binding proteins
 INTERPRO Acyl-CoA-binding protein, ACBP
 INTERPRO Acyl-CoA-binding protein, ACBP, conserved site
 INTERPRO Cytosolic fatty-acid binding
 UP_SEQ_FEATURE Domain: ACB
 INTERPRO Lipocalin/cytosolic fatty-acid binding protein domain
 INTERPRO Lipocalin/cytosolic fatty-acid binding protein domain
 GOTERM_MF_DIRECT Retinal binding
 GOTERM_MF_DIRECT Retinoic acid binding
 GOTERM_MF_DIRECT Retinoid binding
 GOTERM_MF_DIRECT Retinol binding
 UP_KEYWORDS Retinol binding
 UP_KEYWORDS Retinol binding
 UP_KEYWORDS Vitamin A
Lipoprotein metabolism
 INTERPRO Apolipoprotein A1/A4/E
 GOTERM_MF_DIRECT Cholesterol binding
 GOTERM_BP_DIRECT Cholesterol efflux
 GOTERM_BP_DIRECT Cholesterol homeostasis
 GOTERM_BP_DIRECT Cholesterol metabolic process
 GOTERM_MF_DIRECT Cholesterol transporter activity
 GOTERM_CC_DIRECT Chylomicron
 UP_KEYWORDS Chylomicron
 GOTERM_BP_DIRECT Chylomicron remnant clearance
 UP_KEYWORDS HDL
 GOTERM_CC_DIRECT High-density lipoprotein particle
 GOTERM_BP_DIRECT High-density lipoprotein particle assembly
 GOTERM_BP_DIRECT High-density lipoprotein particle clearance
 GOTERM_MF_DIRECT High-density lipoprotein particle receptor binding
 GOTERM_BP_DIRECT High-density lipoprotein particle remodeling
 GOTERM_CC_DIRECT Intermediate-density lipoprotein particle
 UP_KEYWORDS LDL
 SMART LDLa
 GOTERM_MF_DIRECT Lipase inhibitor activity
 UP_KEYWORDS Lipid transport
 GOTERM_BP_DIRECT Lipid transport
 GOTERM_MF_DIRECT Lipid transporter activity
 GOTERM_BP_DIRECT Lipoprotein biosynthetic process
 GOTERM_BP_DIRECT Lipoprotein metabolic process
 INTERPRO LDL-receptor class A repeat
 INTERPRO LDL-receptor class A, conserved site
 GOTERM_CC_DIRECT LDL particle
 GOTERM_BP_DIRECT LDL particle remodeling
 GOTERM_BP_DIRECT Negative regulation of cholesterol transport
 GOTERM_BP_DIRECT Negative regulation of lipid catabolic process
 GOTERM_BP_DIRECT Negative regulation of lipid metabolic process
 GOTERM_BP_DIRECT Negative regulation of receptor-mediated endocytosis
 GOTERM_BP_DIRECT Negative regulation of VLDL particle clearance
 GOTERM_BP_DIRECT Negative regulation of VLDL particle remodeling
 GOTERM_BP_DIRECT Neuron projection regeneration
 GOTERM_MF_DIRECT Phosphatidylcholine binding
 GOTERM_MF_DIRECT Phosphatidylcholine-sterol O-acyltransferase activator activity
 GOTERM_BP_DIRECT Phospholipid efflux
 GOTERM_BP_DIRECT Positive regulation of cholesterol esterification
 GOTERM_BP_DIRECT Positive regulation of fatty acid biosynthetic process
 GOTERM_BP_DIRECT Positive regulation of lipoprotein lipase activity
 GOTERM_BP_DIRECT Positive regulation of triglyceride catabolic process
 GOTERM_BP_DIRECT Regulation of Cdc42 protein signal transduction
 GOTERM_BP_DIRECT Regulation of intestinal cholesterol absorption
 GOTERM_BP_DIRECT Reverse cholesterol transport
 GOTERM_CC_DIRECT Spherical HDL particle
 GOTERM_BP_DIRECT Triglyceride homeostasis
 GOTERM_CC_DIRECT VLDL particle
 GOTERM_BP_DIRECT VLDL particle remodeling
 UP_KEYWORDS VLDL
TAG and PL synthesis/metabolism
 GOTERM_MF_DIRECT 1-acylglycerol-3-phosphate O-acyltransferase activity
 GOTERM_BP_DIRECT Acylglycerol catabolic process
 GOTERM_MF_DIRECT Acylglycerol lipase activity
 GOTERM_BP_DIRECT CDP-diacylglycerol biosynthetic process
 GOTERM_BP_DIRECT Ether lipid biosynthetic process
 GOTERM_BP_DIRECT Glycerolipid metabolic process
 GOTERM_BP_DIRECT Glycerophospholipid biosynthetic process
 GOTERM_BP_DIRECT Glycerophospholipid catabolic process
 KEGG_PATHWAY Glycerophospholipid metabolism
 GOTERM_BP_DIRECT GPI anchor biosynthetic process
 GOTERM_MF_DIRECT Lysophospholipase activity
 GOTERM_BP_DIRECT Phosphatidic acid biosynthetic process
 UP_KEYWORDS Phospholipid biosynthesis
 GOTERM_BP_DIRECT Phospholipid biosynthetic process
 GOTERM_BP_DIRECT Phospholipid catabolic process
 GOTERM_BP_DIRECT Phospholipid metabolic process
 UP_KEYWORDS Phospholipid metabolism
 GOTERM_BP_DIRECT Phospholipid transport
 INTERPRO Phospholipid/glycerol acyltransferase
 SMART PlsC
 UP_SEQ_FEATURE Short sequence motif: HXXXXD motif
 GOTERM_BP_DIRECT Triglyceride biosynthetic process
 GOTERM_MF_DIRECT Triglyceride lipase activity

ABCP, Acyl-CoA-binding protein; ACB, acyl-CoA-binding; AMP, Adenosine monophosphate; CDP, Cytidine Diphosphate; COPII, cytoplasmic coat protein complex II; GPI, glycosylphosphatidylinositol; HDL, high-density lipoprotein; LDL, low-density lipoprotein; LDLa, low-density lipoprotein receptor domain class A; NAD, Nicotinamide adenine dinucleotide.

Because our goal was to identify mechanisms by which intestinal lipid stores are mobilized in response to glucose ingestion, we then specifically examined lipid metabolism-related proteins. Of the 2919 proteins identified, 270 (9%) are known to be involved in lipid/lipoprotein metabolism and transport. The majority of these proteins are involved in FA modification, metabolism, and transport (32%, cluster 4) and lipoprotein metabolism (23%, cluster 2); however, proteins involved in cholesterol/steroid metabolism (cluster 3), TG/phospholipid metabolism (cluster 1), lipid binding, eicosanoid metabolism, CLD storage/metabolism, and CM trafficking also were identified (Figure 6C and D). In response to glucose compared with water ingestion, 9 of these lipid-related proteins were present at relatively higher levels (P < .05) (Table 6). Of note, ethanolaminephosphotransferase 1 was identified only in response to glucose ingestion.

Table 6.

Lipid Metabolism Proteins Present at Relatively Different Levels in Duodenal Biopsy Specimens From Subjects Administered Glucose or Water After a High-Fat Liquid Meal

Uniprot accession Protein name Gene name Fold change t test P value Lipid metabolism-related function
O14734 Acyl-coenzyme A thioesterase 8 ACOT8 0.2101 .0177 FA modification/ metabolism/transport
Q9NTX5 Ethylmalonyl-CoA decarboxylase ECHDC1 0.341 .0450 FA modification/ metabolism/transport
Q9NR19 Acetyl-coenzyme A synthetase; cytoplasmic ACSS2 0.4512 .0470 FA modification/ metabolism/transport
Q9H490 Phosphatidylinositol glycan anchor biosynthesis class U protein PIGU 0.4799 .0487 TAG and PL synthesis/metabolism
Q15125 3-β-hydroxysteroid-Δ(8); Δ(7)-isomerase EBP 0.4859 .0413 Cholesterol/steroid metabolism
P07108 Acyl-CoA-binding protein DBI 0.4917 .0382 Lipid binding protein
Q9UBM7 7-dehydrocholesterol reductase DHCR7 0.6045 .0283 Cholesterol/steroid metabolism
Q8WVX9 Fatty acyl-CoA reductase 1 FAR1 0.6231 .0223 FA modification/metabolism/transport
Q9C0D9 Ethanolaminephosphotransferase 1a SELENOI 7.4638 .0005 TAG and PL synthesis/metabolism

NOTE. Proteins known to play a role in lipid metabolism were identified based on GO terms. Relative levels of proteins identified in at least 3 duodenal biopsy samples per group, or identified in at least 3 samples in 1 group and 0 samples in the other group, were compared. Proteins present at significantly different levels within the 2 treatment groups (P < .05, t test) are shown. Average fold changes of proteins in response to glucose relative to water consumption are presented. Numbers in the “Fold change” column represent how much higher (or lower if negative) the protein levels were in the glucose group compared with the water group. All of these lipid metabolism proteins were up-regulated by glucose relative to water consumption and are listed in ascending order of magnitude of fold change.

PL, phospholipid; TAG, triacylglycerol.

a

Only identified in response to glucose.

A similar comparative proteomic analysis was performed in response to glucose or water ingestion after a longer, overnight fast after the ingestion of a high-fat meal (samples collected 10 hours after a high-fat meal and 1 hour after glucose/water ingestion), in which there were no observed differences in enterocyte CLD stores. This analysis identified 1683 proteins, with 1673 common to both groups, 9 identified only in response to water, and 1 identified only in response to glucose ingestion (Figure 7A). The 96 proteins that were differentially present in this analysis are involved in a variety of cellular processes, with a greater proportion of proteins associated with transcription and translation (GO terms) compared with the initial study (Tables 7 and 8, Figure 7B). The 186 lipid metabolism-related proteins identified in this analysis are involved in similar processes as the initial study (Figure 7C and D); however, none of the 6 lipid metabolism proteins that were differentially present in response to glucose compared with water ingestion were the same as those identified at 6 hours after ingesting a high-fat meal (Table 9).

Figure 7.

Figure 7

Proteins present in intestinal biopsy specimens from subjects administered glucose or water after an overnight fast after the consumption of a high-fat liquid meal. Duodenal biopsy specimens were collected 10 hours after lipid and 1 hour after glucose or water ingestion from patients undergoing a diagnostic endoscopy (n = 5 patients per group). (A) Venn diagram of proteins identified in response to glucose or water ingestion. Proteins present in at least 3 samples in 1 group and 0 samples in the other group were considered present in only 1 group. Proteins identified in at least 3 samples in 1 group and at least 1 sample in the other group were considered present in both groups. (B) Percentage of proteins within broad functional groups that were present at either relatively lower (48 total proteins) or relatively higher (48 total proteins) levels in response to glucose compared with water ingestion, as classified based on their biological/molecular functions. Only proteins that were identified in at least 3 samples in both groups and present at relatively different levels (P < .05, t test), or at least 3 samples in 1 group and 0 samples in the other group, were included in this classification. A Database for Annotation, Visualization, and Integrated Discovery search of the 1683 identified proteins resulted in the identification of 186 proteins with GO terms related to lipid metabolism. (C) Percentage of the 186 lipid metabolism-related proteins involved in more specific lipid-related functions. (D) String analysis of the 186 lipid metabolism-related proteins. The thickness of the line represents the strength of evidence of a structural/functional relationship between 2 proteins. Cluster 1 is enriched in proteins involved in FA modification/metabolism/transport, cluster 2 is enriched in proteins involved in lipoprotein metabolism, cluster 3 is enriched in proteins involved in TG and phospholipid (PL) synthesis and metabolism, and cluster 4 is enriched in proteins involved in cholesterol/steroid metabolism. Proteins that were present at relatively different levels (P < .05, t test) in response to glucose compared with water ingestion are circled in red.

Table 7.

Proteins Present at Relatively Different Levels in Duodenal Biopsy Specimens From Subjects Administered Glucose or Water After an Overnight Fast After the Consumption of a High-Fat Liquid Meal

Uniprot accession Protein name Gene name Fold change t test P value Function
P02760 Protein AMBPa AMBP -10.9586 2.33E-05 Protein metabolism
P35613 Basigina BSG -7.4781 1.28E-05 Other (extracellular matrix organization)
P42025 β-centractina ACTR1B -6.6073 .0003 Cytoskeleton
Q96GA7 Serine dehydratase-likea SDSL -6.4238 4.13E-05 Protein metabolism
Q9NP81 Serine-tRNA ligase; mitochondriala SARS2 -6.4093 .0001 Transcription/RNA processing/translation
Q07837 Neutral and basic amino acid transport protein rBATa SLC3A1 -5.9686 .0001 Protein folding/transport
Q9NW15 Anoctamin-10a ANO10 -5.8317 6.88E-13 Ion transport
P33897 ATP-binding cassette subfamily D member 1a ABCD1 -5.296 .0011 Lipid metabolism
Q9Y320 Thioredoxin-related transmembrane protein 2a TMX2 -4.7109 .0055 Mitochondria/redox
P62899 60S ribosomal protein L31 RPL31 -1.4463 .0016 Transcription/RNA processing/translation
P26583 High-mobility group protein B2 HMGB2 -1.3698 .0205 Transcription/RNA processing/translation
P62841 40S ribosomal protein S15 RPS15 -1.339 .0217 Transcription/RNA processing/translation
O43895 Xaa-Pro aminopeptidase 2 XPNPEP2 -1.2009 .0161 Protein metabolism
Q00688 Peptidyl-prolyl cis-trans isomerase FKBP3 FKBP3 -1.1226 .0486 Protein folding/transport
P62424 60S ribosomal protein L7a RPL7A -1.0994 .0165 Transcription/RNA processing/translation
P99999 Cytochrome c CYCS -1.0634 .0237 Mitochondria/redox
P14927 Cytochrome b-c1 complex subunit 7 UQCRB -0.9939 .0352 Mitochondria/redox
O43181 NADH dehydrogenase (ubiquinone) iron-sulfur protein 4; mitochondrial NDUFS4 -0.9391 .0220 Mitochondria/redox
P46783 40S ribosomal protein S10 RPS10 -0.8004 .0412 Transcription/RNA processing/translation
Q9UNX3 60S ribosomal protein L26-like 1 RPL26L1 -0.795 .0441 Transcription/RNA processing/translation
P62241 40S ribosomal protein S8 RPS8 -0.7606 .0362 Transcription/RNA processing/translation
Q00013 55-kilodalton erythrocyte membrane protein MPP1 -0.6858 .0323 Immune response
Q9Y3U8 60S ribosomal protein L36 RPL36 -0.6824 .0149 Transcription/RNA processing/translation
P04792 Heat shock protein β-1 HSPB1 -0.6317 .0415 Protein folding/transport
P20674 Cytochrome c oxidase subunit 5A; mitochondrial COX5A -0.6209 .0430 Mitochondria/redox
Q9BXW7 Haloacid dehalogenase-like hydrolase domain-containing 5 HDHD5 -0.5832 .0196 Lipid metabolism
P62081 40S ribosomal protein S7 RPS7 -0.5799 .0368 Transcription/RNA processing/translation
Q92520 Protein FAM3C FAM3C -0.5691 .0467 Other (cytokine activity)
Q86VU5 Catechol O-methyltransferase domain-containing protein 1 COMTD1 -0.5488 .0242 Other (putative O-methyltransferase)
Q15233 Non-POU domain-containing octamer-binding protein NONO -0.5382 .0131 Transcription/RNA processing/translation
P08708 40S ribosomal protein S17 RPS17 -0.5285 .0429 Transcription/RNA processing/translation
Q5SSJ5 Heterochromatin protein 1-binding protein 3 HP1BP3 -0.5232 .0430 Transcription/RNA processing/translation
P26232 Catenin α-2 CTNNA2 -0.5041 .0231 Cytoskeleton
O60825 6-phosphofructo-2-kinase/fructose-2;6-bisphosphatase 2 PFKFB2 -0.4706 .0010 Carbohydrate metabolism
Q9BPW8 Protein NipSnap homolog 1 NIPSNAP1 -0.4247 .0273 Mitochondria/redox
Q9BUJ2 Heterogeneous nuclear ribonucleoprotein U-like protein 1 HNRNPUL1 -0.4204 .0322 Transcription/RNA processing/translation
P51148 Ras-related protein Rab-5C RAB5C -0.4166 .0228 Protein folding/transport
A0AV96 RNA-binding protein 47 RBM47 -0.4047 .0211 Other (RNA binding)
P26373 60S ribosomal protein L13 RPL13 -0.3879 .0418 Transcription/RNA processing/translation
Q9Y6N9 Harmonin USH1C -0.3863 .0445 Other (brush-border assembly, regulation of microvillus length)
Q5IFJ7 60S ribosomal protein L9 RPL9 -0.3797 .0444 Transcription/RNA processing/translation
P36543 V-type proton ATPase subunit E 1 ATP6V1E1 -0.3609 .0298 Mitochondria/redox
P15880 40S ribosomal protein S2 RPS2 -0.313 .0103 Transcription/RNA processing/translation
Q00169 Phosphatidylinositol transfer protein α isoform PITPNA -0.2974 .0315 Lipid metabolism
Q9Y4W6 AFG3-like protein 2 AFG3L2 -0.2882 .0427 Protein metabolism
Q9UBQ0 Vacuolar protein sorting-associated protein 29 VPS29 -0.283 .0334 Protein folding/transport
Q13232 Nucleoside diphosphate kinase 3 NME3 -0.2655 .0405 Other (nucleotide triphosphate synthesis)
P61106 Ras-related protein Rab-14 RAB14 -0.2269 .0176 Protein folding/transport
Q8NEV1 Casein kinase II subunit α 3 CSNK2A3 0.1846 .0033 Protein metabolism
Q9BPX5 Actin-related protein 2/3 complex subunit 5-like protein ARPC5L 0.2192 .0094 Transcription/RNA processing/translation
Q7L5N1 COP9 signalosome complex subunit 6 COPS6 0.2227 .0237 Protein metabolism
O60313 Dynamin-like 120-kilodalton protein; mitochondrial OPA1 0.2682 .0189 Mitochondria/redox
Q15029 116-kilodalton U5 small nuclear ribonucleoprotein component EFTUD2 0.2702 .0022 Transcription/RNA processing/translation
Q92841 Probable ATP-dependent RNA helicase DDX17 DDX17 0.2774 .0277 Transcription/RNA processing/translation
Q9Y265 RuvB-like 1 RUVBL1 0.2863 .0143 Transcription/RNA processing/translation
Q08211 ATP-dependent RNA helicase A DHX9 0.2969 .0021 Transcription/RNA processing/translation
P56192 Methionine-tRNA ligase; cytoplasmic MARS 0.2985 .0005 Transcription/RNA processing/translation
O00303 Eukaryotic translation initiation factor 3 subunit F EIF3F 0.3017 .0358 Transcription/RNA processing/translation
P50990 T-complex protein 1 subunit theta CCT8 0.3103 .0462 Protein folding/transport
Q13363 C-terminal-binding protein 1 CTBP1 0.3117 .0193 Transcription/RNA processing/translation
O76094 Signal recognition particle subunit SRP72 SRP72 0.317 .0088 Transcription/RNA processing/translation
P50851 Lipopolysaccharide-responsive and beige-like anchor protein LRBA 0.3239 .0462 Immune response
Q13409 Cytoplasmic dynein 1 intermediate chain 2 DYNC1I2 0.3304 .0080 Cytoskeleton
Q6P2Q9 Pre–messenger RNA-processing-splicing factor 8 PRPF8 0.3428 .0263 Transcription/RNA processing/translation
P46940 Ras GTPase-activating-like protein IQGAP1 IQGAP1 0.3464 .0427 Other (cellular response to calcium and growth factor stimuli)
O95782 AP-2 complex subunit α-1 AP2A1 0.3545 .0240 Protein folding/transport
P17987 T-complex protein 1 subunit α TCP1 0.3631 .0078 Protein folding/transport
Q14152 Eukaryotic translation initiation factor 3 subunit A EIF3A 0.3778 .0231 Transcription/RNA processing/translation
O95394 Phosphoacetylglucosamine mutase PGM3 0.3795 .0164 Carbohydrate metabolism
O43143 Pre–messenger RNA-splicing factor ATP-dependent RNA helicase DHX15 DHX15 0.3864 .0448 Transcription/RNA processing/translation
Q9P2J5 Leucine-tRNA ligase; cytoplasmic LARS 0.3966 .0183 Transcription/RNA processing/translation
P13010 X-ray repair cross-complementing protein 5 XRCC5 0.4032 .0284 Transcription/RNA processing/translation
O75643 U5 small nuclear ribonucleoprotein 200-kilodalton helicase SNRNP200 0.404 .0136 Transcription/RNA processing/translation
Q53EL6 Programmed cell death protein 4 PDCD4 0.4079 .0175 Transcription/RNA processing/translation
Q8N163 Cell cycle and apoptosis regulator protein 2 CCAR2 0.4108 .0094 Transcription/RNA processing/translation
Q15008 26S proteasome non-ATPase regulatory subunit 6 PSMD6 0.4158 .0475 Protein metabolism
P00325 Alcohol dehydrogenase 1B ADH1B 0.427 .0394 Mitochondria/redox
P07478 Trypsin-2 PRSS2 0.4359 .0328 Protein metabolism
Q9Y262 Eukaryotic translation initiation factor 3 subunit L EIF3L 0.4529 .0493 Transcription/RNA processing/translation
Q93009 Ubiquitin carboxyl-terminal hydrolase 7 USP7 0.455 .0294 Protein metabolism
Q86VP6 Cullin-associated NEDD8-dissociated protein 1 CAND1 0.4561 .0490 Protein metabolism
O00410 Importin-5 IPO5 0.4754 .0232 Protein folding/transport
Q15393 Splicing factor 3B subunit 3 SF3B3 0.4946 .0349 Transcription/RNA processing/translation
P07437 Tubulin β chain TUBB 0.5145 .0031 Cytoskeleton
P55011 Solute carrier family 12 member 2 SLC12A2 0.5237 .0405 Ion transport
Q14974 Importin subunit β-1 KPNB1 0.5474 .0326 Protein folding/transport
P0DOX7 Immunoglobulin κ light chain 0.5546 .0356 Immune response
P68363 Tubulin α-1B chain TUBA1B 0.5982 .0022 Cytoskeleton
P55786 Puromycin-sensitive aminopeptidase NPEPPS 0.5983 .0495 Protein metabolism
P11766 Alcohol dehydrogenase class-3 ADH5 0.5992 .0360 Mitochondria/redox
P05451 Lithostathine-1-α REG1A 0.6105 .0107 Other (positive regulator of cell proliferation, carbohydrate binding)
Q9BUF5 Tubulin β-6 chain TUBB6 0.6265 .0332 Cytoskeleton
P01619 Immunoglobulin κ variable 3–20 IGKV3-20 1.0274 .0314 Immune response
O00534 von Willebrand factor A domain-containing protein 5A VWA5A 1.1874 .0346 Other (may act as tumor suppressor)
P08311 Cathepsin G CTSG 1.8843 .0438 Protein metabolism
Q8IV08 Phospholipase D3b PLD3 5.5249 1.31E-08 Lipid metabolism

NOTE. Duodenal biopsy samples were collected 10 hours after lipid and 1 hour after glucose or water ingestion from patients undergoing a diagnostic endoscopy (n = 5 patients per group). Proteins that were identified in at least 3 samples in both groups and present at relatively different levels (P < .05, t test), or at least 3 samples in 1 group and 0 samples in the other group, are shown. Average fold changes of proteins in response to glucose relative to water consumption are presented. Numbers in the “Fold change” column represent how much higher (or lower if negative) the protein levels were in the glucose group compared with the water group.

AMBP, alpha-1-microglobulin/bikunin precursor; AP-2, adaptor protein complex 2; ATP, adenosine triphosphate; ATPase, adenosine triphosphatase; GTPase, guanosine triphosphatase; rBAT, neutral and basic amino acid transport protein; redox, reduction-oxidation; tRNA, transfer ribonucleic acid.

a

Only identified in response to water.

b

Only identified in response to glucose.

Table 8.

GO Terms Associated With Lipid Metabolism-Related Proteins Present in Duodenal Biopsy Specimens 10 Hours After a High-Fat Liquid Meal

Cholesterol/steroid metabolism
 UP_KEYWORDS Cholesterol biosynthesis
 GOTERM_BP_DIRECT Cholesterol biosynthetic process
 UP_KEYWORDS Cholesterol metabolism
 GOTERM_BP_DIRECT Isoprenoid biosynthetic process
 UP_KEYWORDS Steroid biosynthesis
 KEGG_PATHWAY Steroid hormone biosynthesis
 GOTERM_BP_DIRECT Steroid metabolic process
 UP_KEYWORDS Steroid metabolism
 UP_KEYWORDS Sterol biosynthesis
 GOTERM_MF_DIRECT Sterol esterase activity
 UP_KEYWORDS Sterol metabolism
 CLD storage/metabolism
 GOTERM_CC_DIRECT Lipid droplet
 GOTERM_BP_DIRECT Lipid storage
CM trafficking
 GOTERM_CC_DIRECT ER to Golgi transport vesicle membrane
Eicosanoid metabolism
 GOTERM_MF_DIRECT Arachidonic acid epoxygenase activity
 KEGG_PATHWAY Arachidonic acid metabolism
 GOTERM_BP_DIRECT Cyclooxygenase pathway
 GOTERM_BP_DIRECT Epoxygenase P450 pathway
 GOTERM_BP_DIRECT Leukotriene metabolic process
 UP_KEYWORDS Prostaglandin biosynthesis
 GOTERM_BP_DIRECT Prostaglandin biosynthetic process
 UP_KEYWORDS Prostaglandin metabolism
 GOTERM_MF_DIRECT Steroid hydroxylase activity
FA modification/metabolism/transport
 GOTERM_MF_DIRECT Acyl-CoA dehydrogenase activity
 INTERPRO Acyl-CoA dehydrogenase, conserved site
 INTERPRO Acyl-CoA dehydrogenase/oxidase
 INTERPRO Acyl-CoA dehydrogenase/oxidase, C-terminal
 INTERPRO Acyl-CoA dehydrogenase/oxidase, N-terminal
 GOTERM_MF_DIRECT Acyl-CoA hydrolase activity
 GOTERM_BP_DIRECT Acyl-CoA metabolic process
 INTERPRO Acyl-CoA oxidase/dehydrogenase, central domain
 INTERPRO Acyltransferase ChoActase/COT/CPT
 INTERPRO AMP binding, conserved site
 INTERPRO AMP-dependent synthetase/ligase
 UP_SEQ_FEATURE Binding site: carnitine
 GOTERM_MF_DIRECT Decanoate-CoA ligase activity
 INTERPRO Domain of unknown function DUF4009
 GOTERM_BP_DIRECT Fatty acid α-oxidation
 GOTERM_BP_DIRECT Fatty acid β-oxidation
 GOTERM_BP_DIRECT Fatty acid β-oxidation using acyl-CoA dehydrogenase
 UP_KEYWORDS Fatty acid biosynthesis
 KEGG_PATHWAY Fatty acid biosynthesis
 KEGG_PATHWAY Fatty acid degradation
 UP_KEYWORDS Fatty acid metabolism
 KEGG_PATHWAY Fatty acid metabolism
 GOTERM_MF_DIRECT Flavin adenine dinucleotide binding
 GOTERM_MF_DIRECT Hydroxyacyl-CoA dehydrogenase activity
 GOTERM_BP_DIRECT Lipid homeostasis
 GOTERM_BP_DIRECT Long-chain fatty acid import
 GOTERM_BP_DIRECT Long-chain fatty acid metabolic process
 GOTERM_MF_DIRECT Long-chain fatty acid–CoA ligase activity
 GOTERM_BP_DIRECT Negative regulation of fatty acid metabolic process
 GOTERM_MF_DIRECT Oxidoreductase activity, acting on the CH-CH group of donors
 GOTERM_MF_DIRECT Oxidoreductase activity, acting on the CH-CH group of donors, with a flavin as acceptor
 GOTERM_MF_DIRECT Palmitoyl-CoA hydrolase activity
 UP_SEQ_FEATURE Region of interest: coenzyme A binding
 GOTERM_MF_DIRECT Transferase activity, transferring acyl groups
 GOTERM_MF_DIRECT Very-long-chain fatty acid–CoA ligase activity
Lipid binding proteins
 INTERPRO Acyl-CoA binding protein, ACBP
 INTERPRO Acyl-CoA binding protein, ACBP, conserved site
 INTERPRO Cytosolic fatty acid binding
 UP_SEQ_FEATURE Domain: ACB
 GOTERM_MF_DIRECT Fatty-acyl-CoA binding
 INTERPRO Lipocalin/cytosolic fatty acid binding protein domain
 GOTERM_MF_DIRECT Retinoic acid binding
Lipoprotein metabolism
 INTERPRO Apolipoprotein A1/A4/E
 GOTERM_MF_DIRECT Cholesterol binding
 GOTERM_BP_DIRECT Cholesterol efflux
 GOTERM_BP_DIRECT Cholesterol homeostasis
 GOTERM_BP_DIRECT Cholesterol metabolic process
 GOTERM_MF_DIRECT Cholesterol transporter activity
 GOTERM_CC_DIRECT Chylomicron
 UP_KEYWORDS Chylomicron
 GOTERM_BP_DIRECT Chylomicron remnant clearance
 UP_KEYWORDS High-density lipoprotein
 GOTERM_CC_DIRECT High-density lipoprotein particle
 GOTERM_BP_DIRECT High-density lipoprotein particle assembly
 GOTERM_BP_DIRECT High-density lipoprotein particle clearance
 GOTERM_MF_DIRECT High-density lipoprotein particle receptor binding
 GOTERM_BP_DIRECT High-density lipoprotein particle remodeling
 GOTERM_CC_DIRECT Intermediate-density lipoprotein particle
 GOTERM_MF_DIRECT Lipase inhibitor activity
 UP_KEYWORDS Lipid transport
 GOTERM_BP_DIRECT Lipid transport
 GOTERM_MF_DIRECT Lipid transporter activity
 GOTERM_BP_DIRECT Lipoprotein biosynthetic process
 GOTERM_BP_DIRECT Lipoprotein metabolic process
 GOTERM_CC_DIRECT Low-density lipoprotein particle
 GOTERM_BP_DIRECT Low-density lipoprotein particle remodeling
 GOTERM_BP_DIRECT Negative regulation of cholesterol transport
 GOTERM_BP_DIRECT Negative regulation of lipid catabolic process
 GOTERM_BP_DIRECT Negative regulation of lipid metabolic process
 GOTERM_BP_DIRECT Negative regulation of receptor-mediated endocytosis
 GOTERM_BP_DIRECT Negative regulation of VLDL particle clearance
 GOTERM_BP_DIRECT Negative regulation of VLDL particle remodeling
 GOTERM_MF_DIRECT Phosphatidylcholine binding
 GOTERM_MF_DIRECT Phosphatidylcholine-sterol O-acyltransferase activator activity
 GOTERM_BP_DIRECT Phospholipid efflux
 GOTERM_BP_DIRECT Positive regulation of cholesterol esterification
 GOTERM_BP_DIRECT Positive regulation of fatty acid biosynthetic process
 GOTERM_BP_DIRECT Positive regulation of lipoprotein lipase activity
 GOTERM_BP_DIRECT Positive regulation of triglyceride catabolic process
 GOTERM_BP_DIRECT Regulation of Cdc42 protein signal transduction
 GOTERM_BP_DIRECT Regulation of intestinal cholesterol absorption
 GOTERM_BP_DIRECT Reverse cholesterol transport
 GOTERM_CC_DIRECT Spherical high-density lipoprotein particle
 GOTERM_BP_DIRECT Triglyceride catabolic process
 GOTERM_BP_DIRECT Triglyceride homeostasis
 GOTERM_CC_DIRECT VLDL particle
 GOTERM_BP_DIRECT VLDL particle remodeling
 UP_KEYWORDS VLDL
TAG and PL synthesis/metabolism
 GOTERM_MF_DIRECT 1-Acylglycerol-3-phosphate O-acyltransferase activity
 GOTERM_MF_DIRECT 1-Acylglycerol-3-phosphate O-acyltransferase activity
 GOTERM_BP_DIRECT Acylglycerol catabolic process
 GOTERM_BP_DIRECT CDP-diacylglycerol biosynthetic process
 GOTERM_BP_DIRECT CDP-diacylglycerol biosynthetic process
 GOTERM_BP_DIRECT Glycerophospholipid biosynthetic process
Glycerophospholipid biosynthetic process
 GOTERM_BP_DIRECT Glycerophospholipid catabolic process
 KEGG_PATHWAY Glycerophospholipid metabolism
 GOTERM_BP_DIRECT Phosphatidic acid biosynthetic process
 UP_KEYWORDS Phospholipid biosynthesis
 GOTERM_BP_DIRECT Phospholipid biosynthetic process
 UP_KEYWORDS Phospholipid metabolism
 INTERPRO Phospholipid/glycerol acyltransferase
 GOTERM_BP_DIRECT Triglyceride biosynthetic process
 GOTERM_BP_DIRECT Triglyceride lipase activity

ACBP, acyl-CoA-binding protein; AMP, adenosine monophosphate; CDP, cytidine diphosphate; COT/CPT, carnitine octanoyltransferase/carnitine palmitoyltransferase.

Table 9.

Lipid Metabolism Proteins Present at Relatively Different Levels in Duodenal Biopsy Specimens in Response to Glucose or Water Consumption After an Overnight Fast After the Consumption of a High-Fat Liquid Meal

Uniprot accession Protein name Gene name Fold change t test P value Lipid metabolism-related function
P33897 ATP binding cassette subfamily D member 1a ABCD1 -5.296 .00108 FA modification/ metabolism/transport
Q9BXW7 Haloacid dehalogenase-like hydrolase domain-containing 5 HDHD5 -0.5832 .0196 TAG and PL synthesis/metabolism
Q00169 Phosphatidylinositol transfer protein α isoform PITPNA -0.2974 .0315 Lipoprotein metabolism
P00325 Alcohol dehydrogenase 1B ADH1B 0.427 .0394 FA modification/ metabolism/transport
P11766 Alcohol dehydrogenase class-3 ADH5 0.5992 .0360 FA modification/ metabolism/transport
Q8IV08 Phospholipase D3b PLD3 5.5249 1.31E-08 TAG and PL synthesis/ metabolism

NOTE. Duodenal biopsy samples were collected 10 hours after lipid and 1 hour after glucose or water ingestion from patients undergoing a diagnostic endoscopy (n = 5 patients per group). Lipid metabolism-related proteins were identified based on GO terms, and relative levels of proteins identified in at least 3 duodenal biopsy samples per group, or identified in at least 3 samples in 1 group and 0 samples in the other group, were compared. Numbers in the “Fold change” column represent how much higher (or lower if negative) the protein levels were in the glucose group compared with the water group. Proteins present at significantly different levels within the 2 treatment groups (P < .05, t test) are shown.

ATP, adenosine triphosphate; PL, phospholipid, TAG, triacylglycerol.

a

Only identified in response to water.

b

Only identified in response to glucose.

Discussion

In the current study we investigated the effect of oral glucose ingestion on lipid stored in the intestine from a previous meal. We not only confirmed the ability of oral glucose to mobilize intestinal lipid stores and increase plasma CM TGs, but also expanded this observation with high-quality visualization of subcellular CLDs and lipids within the secretory pathway, as well as an examination of the intestinal proteome, to explore cellular mechanisms. Through detailed quantitative analysis of subcellular lipid depots, we showed that glucose ingestion reduced both the number and size of CLDs within enterocytes. Furthermore, our proteomic analysis of duodenal biopsy specimens showed marked differential presence of intestinal proteins in response to oral glucose compared with water, some of which may be involved in regulating the mobilization of intestinal lipid stores.

The results of the current study provide further evidence that lipid can be retained within the small intestine for many hours after fat ingestion and subsequently mobilized by a stimulus, as reviewed in the introduction. Although visualization of lipid depots in jejunal biopsy specimens was reported in a previous study,9 our study added to the literature with examination of duodenal biopsy specimens and provided visualization of the subcellular localization of lipid droplets in the cell and in the secretory pathway. We detected the presence of abundant lipid depots, especially CLDs, within the duodenal enterocytes of subjects who ingested a high-fat meal 6 hours before the biopsy and water 1 hour before the intestinal biopsy (ie, the control study). This lipid retention in duodenal enterocytes was seen at a time that plasma TGs had almost returned to baseline, clearly showing that lipids are being retained in the intestine. Glucose ingestion acutely (within 1 hour) reduced the total amount of lipid retained in enterocytes, providing evidence of glucose-stimulated lipid mobilization. This corresponded to a spike in total plasma TGs, which was mainly owing to an increase in CM TGs. Because there was no other food intake during the study period, the high-fat liquid meal likely was the source of this TG spike. Together, these results suggest that considerable dietary lipid is retained in intestinal CLDs well into the late postprandial period, which subsequently can be mobilized and secreted within CMs. Although the results of the current study show an intracellular mechanism of CLD mobilization, lymph flow and mobilization of extracellular (eg, in lamina propria) CMs also could contribute to the overall mobilization of intestinal lipid stores. Glucose in the luminal fluid increases sympathetic activity, leading to vasodilation of the submucosal arterioles, and enhances intestinal blood flow in rodent models. Changes in vasodilation and blood flow and the potential in mediating the total response of lipid mobilization to glucose ingestion were not assessed in the current study. Increased insulin secretion after glucose ingestion also may lead to vasodilation in muscle. This may help mobilize total TG stores, but the effects of insulin on CLD mobilization are unknown. These aspects warrant further study using animal models.

This study identifies CLDs as dynamic and regulated lipid storage depots that mediate intestinal lipid handling and CM secretion. The ability to store TGs in CLDs and mobilize this lipid pool at later times likely contributes to the efficiency of dietary fat absorption and helps prevent toxicity both locally within enterocytes as well as systemically.4, 16, 17 In the enterocyte, CLDs provide a buffering depot for lipids that cannot be rapidly incorporated into CMs for secretion. Systemically, this process also may attenuate an otherwise rapid increase in postprandial lipids that could overwhelm the lipid storage and buffering capacity of adipose tissues, resulting in fatty acid spillover and lipotoxicity.21 Furthermore, early postprandial CLD mobilization may serve as a priming function for the enterocyte’s CM assembly and secretion pathway, which needs to rapidly and efficiently cope with the large influx of ingested dietary lipids during food ingestion. Quantifying lipid depots in subcellular compartments and organelles, such as detailed assessment of size distribution of chylomicrons within Golgi, may yield important information on the underlying mechanism, which was not possible with EM visualization. Together with the increase in plasma and CM TG concentrations, the results of the current study support that oral glucose functioned as a stimulus to mobilize enterocyte lipid stores for use in CM synthesis and secretion. Based on the known and well-described biology of CM assembly and secretion,2 it is hypothesized that glucose ingestion would have initiated a sequence of events, including hydrolysis of CLD TGs, TG resynthesis in the ER membrane, CM assembly and secretion from the enterocytes, and CM transport through the lymphatics into circulation. It remains to be determined if other stimuli for intestinal lipid mobilization (eg, sham fat feeding8 and GLP-219) mobilize intestinal lipids by a similar mechanism, and whether their effects are quantitatively similar to that of oral glucose. Although glucose ingestion may stimulate the secretion of GLP-2, which mobilizes CM release, the observed effects of glucose ingestion on CLDs was unlikely owing to GLP-2 secretion. GLP-2 concentrations after 25-gram glucose ingestion is unknown and was not measured in this study because of a lack of blood samples with dipeptidyl peptidase-4 inhibitor. In healthy subjects, a standard oral glucose tolerance test (75 g D-glucose) increased plasma glucose concentrations from approximately 5 to approximately 9 mmol/L, and plasma GLP-2 concentrations from approximately 15 to 49 pmol/L.22 Mixed meal ingestion increased plasma GLP-2 (intact, 16 ± 3 to 73 ± 10 pmol/L at 90 min), and subcutaneous injection of 400 ug GLP-2 increased intact GLP-2 to maximally 1493 ± 250 pmol/L at 45 minutes in healthy volunteers.23 In our previous study in which GLP-2 promoted release of preformed chylomicrons, a more than 3-fold higher dose of GLP-2 was used (1500 ug),19 which is expected to increase circulating GLP-2 even more significantly. In addition, because GLP-1 and GLP-2 are co-secreted, glucose ingestion–stimulated secretion of GLP-2 is accompanied by secretion of GLP-1, which is known to suppress CM secretion.24 Interestingly, we found that the effects of glucose ingestion are dependent on sufficient lipid stores within the enterocyte. After prolonged fasting (10 hours after fat ingestion), which resulted in a significant reduction in intestinal CLD stores, glucose had no effect on intestinal lipid stores.

To gain further insight into proteins potentially regulating the observed glucose-stimulated lipid mobilization within the small intestine, we performed a comparative proteomic analysis of the duodenal biopsy specimens in response to glucose compared with water ingestion. Previous studies have used both untargeted and targeted approaches to identify duodenal proteins in insulin-resistant compared with insulin-sensitive individuals, but these duodenal tissue samples were collected in the fasted state.25, 26 Although validation of the presence of the identified proteins within the small intestine by additional methods is needed, the present study provides us with candidate proteins that are present in the duodenum in response to dietary fat and glucose ingestion. This study also identified potential glucose-regulated proteins within the duodenum, some of which also may be involved in regulating glucose-stimulated mobilization of lipids from the small intestine. In the current study we initially used a P value less than .05 as the cut-off value to identify proteins differentially present between treatment groups. After Bonferroni correction for multiple comparisons, a few proteins were still present at significantly different levels between the groups. It is important to note that the Bonferroni correction is a stringent correction factor that minimizes false-positive results, but it also increases false-negative results. Therefore, although this correction factor helps prioritize candidate proteins for further investigation, the current proteomic analysis is a hypothesis-generating experiment, and it is therefore also important to not completely disregard the proteins that were no longer present at significantly different levels after this correction.

To identify proteins potentially involved in regulating glucose-stimulated lipid mobilization from the small intestine, we performed a targeted search of our proteomics data to identify proteins with known roles in intestinal lipid/lipoprotein metabolism and transport. The results suggest differential regulation of proteins involved in fatty acid metabolism, cholesterol synthesis, and lipid binding. Little is known about the particular roles of these proteins within the small intestine specifically. However, acyl-coenzyme A binding protein previously was shown to be present at high levels in mouse intestinal epithelium and to co-localize with fatty acid binding protein 2 (intestinal fatty-acid binding protein).27 Fatty acid binding protein 2 also was identified in the current study but was present at similar levels in both treatments. Interestingly, we found that ethanolaminephosphotransferase 1 was relatively up-regulated by glucose ingestion. This protein is involved in the synthesis of phosphatidylethanolamine.28 Mutations in several enzymes involved in phospholipid synthesis are associated with diseases including fatty liver, lipodystrophy, and obesity.29 In addition, altering the phospholipid composition of CLDs, CMs, and the ER all have the potential to impact lipid storage and secretion, such as in phospholipid remodeling protein lysophosphatidylcholine acyltransferase-3 deficiency.30 Therefore, it is possible that higher levels of ethanolaminephosphotransferase 1 in the intestine in response to glucose has an impact on membrane composition of the ER and/or CMs that ultimately promotes CM secretion. Validation of the presence and localization of these proteins within the small intestine, which was not possible owing to a lack of suitable samples in this study, is required in future studies, but their initial identification and differential presence in the 2 treatment groups suggests there may be a general increase in intestinal lipid metabolism in response to glucose consumption. Furthermore, the differentially present lipid metabolism-related proteins identified in biopsy specimens after prolonged (10 hours) fasting were not the same as those identified in the shorter (6 hour) fasting study, but they were involved in similar processes. This suggests that glucose may exert different regulatory effects depending on dietary status (ie, when the last meal was consumed).

Interestingly, we did not see differences in the levels of several proteins with established roles in CM synthesis and secretion or CLD metabolism between treatments. We identified both perilipin 2 and perilipin 3, which play roles in regulating CLD storage,31 but these proteins were present at similar levels in both treatment groups. In addition, we only identified 1 of the 4 enzymes involved in cytoplasmic TG lipolysis, monoacylglycerol lipase, in the current study, and it was not differentially present in response to glucose compared with water ingestion. This is consistent, however, with the lack of identification of any cytoplasmic lipases other than monoacylglycerol lipase within duodenal tissues collected from fasted insulin-sensitive or insulin-resistant individuals.26 It is possible that these proteins are present at levels below the mass spectrometry detection limit, and/or that other enzymes or pathways play more of a role in TG mobilization from enterocytes under the conditions of the current study. In fact, we identified lysosomal acid lipase, which hydrolyzes TGs within the lysosome during lipophagy,32 at similar levels in both treatment groups, along with several other lipases. We also identified key proteins involved in CM synthesis and trafficking (apolipoprotein B, microsomal triglyceride transfer protein, secretion associated ras related GTPase 1B), but again did not see differences in their protein levels in response to glucose compared with water ingestion. However, it still is possible that glucose ingestion alters the activities (eg, through phosphorylation) or subcellular localization of proteins involved in CM synthesis and CLD metabolism, which requires further investigation in future studies.

To examine whether proteins without known roles in lipid metabolism are involved in the observed glucose-stimulated mobilization from the small intestine, we also examined non–lipid-related proteins. This analysis showed that glucose down-regulated syntaxin-binding protein 5. This protein has been shown to be a negative regulator of soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) protein assembly required for insulin exocytosis in β cells. In addition, glucose has been shown to inhibit syntaxin-binding protein 5 and induce its degradation in these cells to promote insulin secretion.33 Furthermore, it regulates vesicle exocytosis in other cell types, including platelets and endothelial cells.34 In enterocytes, SNARE complex is required for prechylomicron transport vesicle intracellular transport during chylomicron synthesis and secretion. After budding from the ER, prechylomicron transport vesicles are directed by vesicle SNARE toward the Golgi. Vesicle associated membrane protein 7 of the vesicle SNARE joins with syntaxin-5, rbet1, and vti1a of the target SNARE to form the SNARE complex, which facilitates docking and fusion of prechylomicron transport vesicle with the Golgi membrane.35 The roles of syntaxin-binding protein 5 in enterocytes are not elucidated, but our data suggest that glucose negatively regulates this protein in enterocytes, and that this regulation may have an impact on intestinal lipid mobilization. Another protein that draws attention is epimerase family protein SDR39U1, which was up-regulated by glucose. This protein is expressed in small intestine, including the duodenum.36 It belongs to a family of enzymes involved in the metabolism of a large variety of compounds, including steroid hormones, prostaglandins, retinoids, lipids, and xenobiotics.37 Genetic defects in SDR genes underlie several inherited metabolic diseases.38 Further investigation into the intestine-specific functions of these proteins would be beneficial because of their possible involvement in glucose-stimulated lipid mobilization from the intestine.

Conclusions

Here, we present evidence from both in vivo lipid responses and intestinal biopsy specimens that support a role of glucose ingestion in mobilizing lipid stores from the human intestine. Glucose ingestion mobilizes enterocyte CLDs to provide substrate for CM synthesis and secretion, likely involving multiple molecular players. Although the precise mechanisms by which intestinal lipid stores are mobilized remain unknown, the current study has highlighted candidate proteins and pathways that may regulate this process and can inform future studies investigating the regulation of this process. An increased understanding of the regulation of intestinal lipid storage and mobilization may help provide novel dietary guidance for lowering blood TG levels and identify novel therapeutic targets for treatment of hypertriglyceridemia to reduce cardiovascular disease risk.

Materials and Methods

Aim 1

Subjects

Six healthy men were recruited through advertisement in a local newspaper. Subjects were in good health, with no known medical conditions, and were not taking any medication. The study protocol was approved by the Research Ethics Board at the University Health Network, University of Toronto. All participants provided written informed consent.

Study protocol

Each subject was studied on 2 occasions, 4–6 weeks apart, in random order. On each occasion, subjects were admitted to the Metabolic Test Centre at the Toronto General Hospital after an overnight fast. An indwelling catheter was inserted into a superficial arm vein for blood sampling. At 7 AM (referred to as t = 0), subjects ingested a 100-mL high-fat liquid meal (Calogen; Nutricia Advanced Medical Nutrition, Wiltshire, UK). Each 100 mL of the liquid meal contains 450 kcal energy, 50 g fat (5.3 g saturated fat, 30.4 g monounsaturated fat, 14.3 g polyunsaturated fat), 0 g protein, and 0.1 g carbohydrate. Five hours later (t = 5 h), subjects ingested a glucose solution (50%, 50 mL) in 1 arm of the study and 50 mL water in the other arm, 4–6 weeks apart. Blood samples were drawn at baseline and at regular intervals until the end of the study (t = 8 h).

Laboratory analysis

TRL was first isolated as previously described.24 CM and VLDL-sized particles were isolated further from TRL, according to a previously described method with modifications.19, 39 TRL fractions (1 mL) were transferred to a 6-mL centrifuge tube on ice, carefully overlaid with 1.006 g/mL density NaBr solution, and centrifuged at 13,500 rpm for 30 minutes at 12°C using a Ti50.4 rotor. Clear separation was visible between the top and bottom fractions. The top 0.5 mL was collected as CM by tube slicing, whereas the bottom fraction was collected as VLDL-sized lipoproteins. Plasma glucose was measured at the bedside with a glucose analyzer (Analox Instruments, Stourbridge, UK). TG in plasma and lipoprotein fractions were measured with a commercial kit (Roche Diagnostics, Indianapolis, IN). Plasma insulin was measured with a human insulin radioimmunoassay kit (Millipore, Burlington, MA).

Aim 2

Subjects

Twenty-four individuals undergoing diagnostic gastroduodenoscopy for gastrointestinal symptoms were recruited after obtaining informed consent. Subjects were referred for endoscopy after complaints of heartburn, dyspepsia, bloating, abdominal pain, nausea without vomiting, reflux, gas, and regurgitation. Participants had no known duodenal pathology and were observed to have normal duodenal mucosa by visual inspection during the endoscopy. The study protocol was approved by the Human Research Ethics Board of the University Health Network, University of Toronto. All participants provided written informed consent.

Study protocol

After providing informed consent, participants were block-randomized to receive either oral glucose or water treatment. At 7 AM after an overnight fast (referred to as t = 0), subjects ingested a 100-mL high-fat liquid meal containing 50 g of fat (Calogen; Nutricia Advanced Medical Nutrition). Five hours later (t = 5 h), subjects ingested either a glucose solution (50%, 50 mL) or 50 mL water. One hour after ingesting either glucose or water (t = 6 h), duodenal biopsy samples were obtained during an endoscopy. Although quantitatively jejunum is responsible for the majority of lipid absorption, active absorption also occurs in duodenum40 and obtaining biopsy specimens from the duodenum as compared with jejunum is more technically feasible and was acceptable to our human ethics review committee. Samples were snap-frozen in dry ice and stored at -80°C for later proteomic analysis or preserved in 2.5% glutaraldehyde in 0.1 mol/L sodium cacodylate (pH 7.4) and stored at 4°C for electron microscopy.

Delayed fasting

To further examine the time course of fat retention in the intestine and its subsequent mobilization by oral glucose, duodenal biopsy specimens were taken from an additional 10 individuals. These individuals were randomly assigned to ingest glucose or water 9 hours after ingestion of the high-fat liquid meal, which was administered at 10 PM the night before undergoing the gastroduodenoscopy. The study protocol was otherwise identical to that described earlier for aim 2.

Transmission electron microscopy

Duodenal biopsy samples were immediately fixed using 2.5% glutaraldehyde in 0.1 mol/L sodium cacodylate (pH 7.4) and stored at 4°C until processed. The tissues then were fixed with a secondary fixative, 1% osmium tetroxide in 0.1 mol/L sodium cacodylate (pH 7.4) for 1 hour at room temperature, washed repeatedly in distilled deionized water, dehydrated with a graded series of ethanol, and embedded in Embed 812 resin (Electron Microscopy Sciences, Hatfield, PA). Thick sections (0.5 μm) were stained with 1% toluidine blue and examined by light microscopy to confirm tissue orientation. Thin sections (80 nm) were cut on a Leica (Leica Microsystems Inc, Buffalo Grove, IL) UC6 ultramicrotome and stained with 2% uranyl acetate and lead citrate. Images were either acquired on a Tecnai T20 transmission electron microscope (FEI, Hillsboro, OR) equipped with an LaB6 source and operating at 100 kV, or a CM-100 transmission electron microscope (FEI/Philips, Hillsboro, OR) operating at 80 kV. Intact enterocytes were examined for the presence of CLDs (40–63 enterocytes/sample, 5 or 12 samples/group). Quantitative analyses were performed on enterocytes containing CLDs. The number of CLDs per enterocyte was counted and the diameters of individual CLDs were measured using ImageJ software (NIH, Bethesda, MD). Measured diameters were used to estimate the area of individual CLDs (area = π (diameter/2)2), and the total CLD area per enterocyte was estimated by multiplying the average CLD area by the average CLD number. Qualitative assessments of lipids within the secretory pathway (ER, Golgi, and secretory vesicles) were made with a ranking system. Because it was too difficult to determine quantitatively the area of lipids within the secretory pathway, an in-house ranking system was used to arbitrarily classify each enterocyte as containing high, moderate, or low lipid content. Individual enterocytes were classified as containing low, moderate, or high amounts of secretory lipid, and then this information was used to assign each biopsy sample an overall ranking of low, moderate, or high. Previous electron microscopic analyses of intestinal lipid stores were used as a reference for the identification of intestinal lipid storage pools in the current study.41, 42, 43, 44, 45

Sample preparation for liquid chromatography–mass spectrometry/mass spectrometry analysis

Biopsy samples were washed once with 100 μL purified water followed by 100 μL washes using 100 mmol/L ammonium bicarbonate until the supernatant was clear, to remove the presence of blood in some samples. Tissue samples then were placed into 2-mL reinforced tubes containing 2.8-mm ceramic (zirconium oxide) beads (Cayman Chemical, Ann Arbor, MI). A total of 200 μL of 100 mmol/L ammonium bicarbonate was added to each sample, and the tubes were loaded into a Precellys 24 homogenizer (Berlin Instruments, Rockville, MD). The tissue was homogenized at 6500 rpm using 3 cycles of 20 seconds each. Protein concentrations were determined for each of the tissue solutions using a Pierce BCA assay kit (Thermo Scientific, Waltham, MA). An aliquot containing 100 μg protein was taken for processing. Before the digestion, the protein was precipitated and concentrated from solution using acetone. After drying the precipitated pellets, the protein samples were reduced using 10 mmol/L 1,4-dithiothreitol followed by alkylation using iodoethanol. Sequence grade Lys-C/Trypsin (Promega, Madison, WI) was used to enzymatically digest the protein samples in the Barocycler NEP2320 (Pressure Biosciences, Inc, Easton, MA) at 50°C under 20,000 psi for 1 hour. Digested samples were cleaned using C18 spin columns (Nest Group, Southborough, MA) and dried. Resulting pellets were resuspended in 97% purified water/3% acetonitrile/0.1% formic acid before liquid chromatography/mass spectrometry analysis.

Liquid chromatography–mass spectrometry/mass spectrometry

Digested samples were analyzed using the Dionex UltiMate 3000 RSLC Nano System coupled to a Q Exactive HF Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Fisher Scientific). Peptides generated during the digestion were loaded onto a 300 μm inner diameter × 5 mm C18 PepMap 100 (Thermo Fisher Scientific) trap column and washed with 98% purified water/2% acetonitrile/0.01% formic acid using a flow rate of 5 μL/min. The trap column was switched in-line with the analytical column after 5 minutes, and peptides were separated over a 75 μm × 150 mm reverse-phase Acclaim PepMap RSLC C18 analytical column using a 120-minute method at a flow rate of 300 nL/min. Mobile phase A contained 0.01% formic acid in water and mobile phase B consisted of 0.01% formic acid in 80% acetonitrile. The linear gradient began at 5% B and reached 30% B in 80 minutes, 45% B in 91 minutes, and 100% B in 93 minutes. The column was held at 100% B for the next 5 minutes before returning to 5% B, where it was equilibrated for 20 minutes. Samples were injected into the QE HF through the Nanospray Flex Ion Source fitted with a stainless-steel emission tip (Thermo Scientific). Data acquisition was performed by monitoring the top 20 precursors at 120,000 resolution with an injection time of 100 ms.

Proteomic data analysis

The results from the mass spectrometer were processed using the MaxQuant (Max-Planck Institute for Biochemistry, Martinsried, Germany) computational proteomics platform.46 The peak list generated was searched against the Homo sapiens sequences from UniProt and a common contaminants database. The following settings were used for the MaxQuant run: trypsin and Lys-C digestion enzymes with 2 missed cleavages allowed, ethanolyl addition to cysteine as a fixed modification, N-terminal acetylation and oxidation of methionine as variable modifications, with 3 modifications allowed for each peptide, default Orbitrap parameters, minimum peptide length of 7 amino acids, label-free quantification was selected, match between runs was selected and the interval was set to 1 minute, and the protein false-discovery rate was set to 1%. An in-house script was used to perform the following on the MaxQuant results: remove all of the contaminant proteins, log transform (log2[x]) the label-free quantification intensity values, and input missing values using half of the highest intensity when all the values for a given protein were missing in 1 group and present in at least 3 samples of the other group. Only proteins that were identified in at least 3 samples in 1 treatment group were considered present in the duodenal biopsy samples. Only the relative label-free quantification values of proteins that were identified in at least 3 samples in both treatment groups, or identified in at least 3 samples in 1 treatment group and 0 samples in the other treatment group (imputed values used) were compared statistically. The statistical analyses were performed in the R environment (www.cran.r-project.org). A t test was performed on the label-free quantification intensities, with a P value < .05 considered a statistically significant difference between the groups. The differentially present proteins were classified into broad groups based on GO terms for biological process or molecular function using the Database for Annotation, Visualization, and Integrated Discovery version 6.7 and the UniProt database. Proteins with GO terms related to lipid (TG, phospholipid, cholesterol, and fatty acid) metabolism, lipoprotein metabolism and transport, and CLD storage and metabolism were identified and classified using the Database for Annotation, Visualization, and Integrated Discovery functional annotation clustering and functional annotation tables as well as the UniProt database. Protein–protein interactions were visualized with Search Tool for the Retrieval of Interacting Genes/Proteins version 10.5 using the confidence view (high confidence, score 0.700).

Statistical analysis

Data are presented as means ± SE. Plasma glucose concentrations, plasma TG concentration vs time curves, and lipoprotein fractions (TRL, CM, and VLDL) were compared using repeated-measures analysis of variance with post hoc analysis using a paired t test. Mean CLD numbers, diameters, and areas were compared using a t test. CLD diameter distribution was compared with the Kolmogorov–Smirnov test. Secretory lipids were assessed using a Fisher exact test.

Footnotes

Author contributions Changting Xiao, Satya Dash, and Gary F. Lewis were responsible for the study concept and design; Changting Xiao, Priska Stahel, Alicia L. Carreiro, Yu-Han Hung, and Ian Bookman performed data acquisition; Changting Xiao, Priska Stahel, Alicia L. Carreiro, Satya Dash, Kimberly K. Buhman, and Gary F. Lewis analyzed and interpreted data; Changting Xiao and Gary F. Lewis wrote the manuscript; Changting Xiao, Priska Stahel, Alicia L. Carreiro, Satya Dash, Kimberly K. Buhman, and Gary F. Lewis revised the manuscript and were responsible for important intellectual content; and Gary F. Lewis obtained funding and performed study supervision.

Conflicts of interest The authors disclose no conflicts.

Funding This work was supported by an operating grant from the Canadian Institutes of Health Research; the Drucker Family Chair in Diabetes Research and the Sun Life Financial Chair in Diabetes (G.F.L.); a Banting and Best Diabetes Centre Hugh Sellers Postdoctoral Fellowship and a Diabetes Action Canada Postdoctoral Fellowship (P.S.); a Purdue Research Foundation Fellowship and a Purdue Bilsland Dissertation Fellowship (A.L.C.); and a Diabetes Canada New Investigator grant and the Reuben and Helene Dennis Scholarship from the Banting and Best Diabetes Centre (S.D.).

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