| Literature DB >> 35956407 |
Takuji Suzuki1,2,3, Yuki Sato2, Sumire Kadoya2, Takumi Takahashi2, Moeko Otomo2, Hanna Kobayashi2, Kai Aoki2, Mai Kantake3, Maika Sugiyama3, Ronaldo P Ferraris4.
Abstract
Despite numerous studies on the health benefits of the rare sugar allulose, its effects on intestinal mucosal morphology and function are unclear. We therefore first determined its acute effects on the small intestinal transcriptome using DNA microarray analysis following intestinal allulose, fructose and glucose perfusion in rats. Expression levels of about 8-fold more genes were altered by allulose compared to fructose and glucose perfusion, suggesting a much greater impact on the intestinal transcriptome. Subsequent pathway analysis indicated that nutrient transport, metabolism, and digestive system development were markedly upregulated, suggesting allulose may acutely stimulate these functions. We then evaluated whether allulose can restore rat small intestinal structure and function when ingested orally following total parenteral nutrition (TPN). We also monitored allulose effects on blood levels of glucagon-like peptides (GLP) 1 and 2 in TPN rats and normal mice. Expression levels of fatty acid binding and gut barrier proteins were reduced by TPN but rescued by allulose ingestion, and paralleled GLP-2 secretion potentially acting as the mechanism mediating the rescue effect. Thus, allulose can potentially enhance disrupted gut mucosal barriers as it can more extensively modulate the intestinal transcriptome relative to glucose and fructose considered risk factors of metabolic disease.Entities:
Keywords: allulose; fructose; glucose; intestinal barrier; nutrient digestion and absorption; small intestinal function; small intestine
Mesh:
Substances:
Year: 2022 PMID: 35956407 PMCID: PMC9370476 DOI: 10.3390/nu14153230
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Figure 1Clustering analysis.
Figure 2Venn diagram analysis.
(A) Pathways and gene clusters predicted to be upregulated by allulose perfusion compared to glucose and to fructose. (B) Pathways and gene clusters predicted to be downregulated by allulose perfusion compared to glucose and to fructose.
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| Cancer, Organismal Injury and Abnormalities | Advanced extracranial solid tumor | 2.13 | 100 | ||
| Advanced malignant tumor | 2.13 | 174 | |||
| Secondary tumor | 2.13 | 163 | |||
| Advanced lung cancer | 2.13 | 51 | |||
| Carbohydrate Metabolism | Uptake of carbohydrate | 2.92 | 2.42 | 56 | |
| Uptake of monosaccharide | 2.43 | 52 | |||
| Carbohydrate Metabolism, Lipid Metabolism, Small Molecule Biochemistry | Metabolism of phosphatidic acid | 2.41 | 41 | ||
| Synthesis of phosphatidic acid | 2.00 | 37 | |||
| Carbohydrate Metabolism, Molecular Transport, Small Molecule Biochemistry | Uptake of D-glucose | 2.47 | 2.47 | 47 | |
| Uptake of D-hexose | 2.59 | 2.32 | 48 | ||
| Cell Death and Survival, Organismal Injury and Abnormalities | Cell death of cervical cancer cell lines | 2.40 | 2.21 | 71 | |
| Cell death of epithelial cell lines | 2.15 | 55 | |||
| Cell Morphology, Cellular Assembly and Organization, Cellular Function and Maintenance | Formation of cellular protrusions | 2.55 | 2.82 | 142 | |
| Cell-To-Cell Signaling and Interaction | Adhesion of tumor cell lines | 2.29 | 2.63 | 55 | |
| Binding of tumor cell lines | 3.08 | 3.39 | 72 | ||
| Interaction of tumor cell lines | 2.70 | 3.26 | 76 | ||
| Cellular Assembly and Organization, Cellular Function, Maintenance and Tissue Development | Development of cytoplasm | 2.48 | 2.70 | 96 | |
| Formation of cytoskeleton | 2.25 | 2.49 | 67 | ||
| Formation of membrane ruffles | 2.40 | 17 | |||
| Microtubule dynamics | 2.10 | 182 | |||
| Formation of actin filaments | 2.28 | 2.53 | 57 | ||
| Formation of actin stress fibers | 2.01 | 47 | |||
| Fibrogenesis | 2.42 | 2.20 | 79 | ||
| Formation of filaments | 2.35 | 2.41 | 72 | ||
| Cellular Compromise, Inflammatory Response | Degranulation of cells | 2.03 | 2.42 | 108 | |
| Degranulation of phagocytes | 2.27 | 2.27 | 96 | ||
| Cellular Function and Maintenance | Endocytosis | 3.36 | 3.36 | 94 | |
| Engulfment of cells | 3.41 | 3.41 | 83 | ||
| Internalization by tumor cell lines | 2.41 | 2.74 | 27 | ||
| Cellular Function and Maintenance, Inflammatory Response | Phagocytosis | 3.63 | 3.63 | 58 | |
| Infectious Diseases | HIV infection | 2.07 | 120 | ||
| Infection by HIV-1 | 2.03 | 104 | |||
| Infection by Retroviridae | 2.22 | 2.37 | 124 | ||
| Infection by RNA virus | 2.43 | 2.57 | 155 | ||
| Infection of cells | 2.26 | 2.40 | 140 | ||
| Infection of cervical cancer cell lines | 2.50 | 2.69 | 78 | ||
| Infection of tumor cell lines | 2.13 | 2.84 | 3.02 | 92 | |
| Viral Infection | 2.56 | 2.63 | 294 | ||
| Lipid Metabolism, Small Molecule Biochemistry | Fatty acid metabolism | 2.05 | 112 | ||
| Metabolism of membrane lipid derivative | 2.64 | 3.17 | 99 | ||
| Molecular Transport | Secretion of molecule | 2.94 | 2.74 | 103 | |
| Transport of molecule | 4.48 | 4.17 | 305 | ||
| Organismal Development | Size of body | 2.90 | 2.90 | 131 | |
| Post-Translational Modification | Ubiquitination | 2.34 | 70 | ||
| Ubiquitination of protein | 2.01 | 2.01 | 69 | ||
| Protein Trafficking | Interaction of protein | 2.24 | 2.24 | 48 | |
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| Cardiovascular Disease, Hematological Disease, Organismal Injury and Abnormalities | Anemia | −2.49 | −2.49 | 74 | |
| Cell Cycle, Cellular Movement | Cytokinesis of tumor cell lines | −2.05 | −2.05 | 17 | |
| Cell Death and Survival | Apoptosis of breast cancer cell lines | −2.03 | 61 | ||
| Cellular Compromise | Stress response of cells | −2.02 | 28 | ||
| Stress response of tumor cell lines | −2.58 | −2.05 | −2.05 | 15 | |
| Cellular Development, Cellular Growth and Proliferation, Connective Tissue Development and Function, Tissue Development | Cell proliferation of fibroblasts | −3.09 | 72 | ||
| Connective Tissue Disorders, Inflammatory Disease, Inflammatory Response, Organismal Injury and Abnormalities, Skeletal and Muscular Disorders | Inflammation of joint | −2.39 | −2.39 | 153 | |
| Connective Tissue Disorders, Inflammatory Disease, Organismal Injury and Abnormalities, Skeletal and Muscular Disorders | Rheumatic Disease | −2.21 | −2.21 | 199 | |
| Free Radical Scavenging | Generation of reactive oxygen species | −2.05 | 42 | ||
| Inflammatory Response | Inflammation of absolute anatomical region | −2.23 | −2.23 | 181 | |
| Inflammation of body cavity | −3.05 | −3.05 | 152 | ||
| Inflammatory Response, Organismal Injury and Abnormalities | Inflammation of organ | −2.43 | −2.43 | 219 | |
| Lipid Metabolism, Molecular Transport, Small Molecule Biochemistry | Concentration of fatty acid | −2.5 | −2.12 | 52 | |
| Neurological Disease | Motor dysfunction or movement disorder | −2.13 | −2.53 | 185 | |
| Movement Disorders | −2.04 | −2.45 | 182 | ||
| Organismal Injury and Abnormalities, Renal and Urological Disease | Urination disorder | −3.24 | −3.55 | 54 | |
| Organismal Survival | Morbidity or mortality | −3.12 | −3.12 | 402 | |
| Organismal death | −3.19 | −3.19 | 396 | ||
| Protein Synthesis | Expression of protein | −2.57 | −2.57 | 80 | |
Figure 3Gene expression levels of representative genes related to nutrient digestion and absorption, and intestinal barrier. (A) Results of qRT-PCR for carbohydrate digestion/absorption-related genes. (i) Si, (ii) Lct, (iii) Cdx2, (iv) Sglt1, (v) Glut2 and (vi) Glut5. (B) Results of qRT-PCR for fatty acid metabolism-related genes. (i) Fabp1 and (ii) Fabp2. (C) Results of qRT-PCR for tight junction proteins. (i) Tjp1, (ii) Tjp2 and (iii) Tjp3. (D) Results of qRT-PCR for junctional adhesion molecules. (i) Cldn3, (ii) Cldn4, (iii) Cldn7, (iv) Cldn15 and (v) Ocln. Values indicate mean ± SEM (n = 4). Asterisks indicate significant differences tested using the ANOVA-Dunnett’s multiple comparisons test (vs. glucose-perfused group, **** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05).
Figure 4Schematic diagram of TPN study procedure.
Figure 5Villous structure and number of mucus-positive cells. (A): villous structure of (i) sham, (ii) TPN, (iii) TPN + glucose, (iv) TPN + fructose and (v) TPN + allulose rats. (B): mucus-secreting cell staining (alcian blue-PAS double staining) of jejunum (100×, bar = 100 μm). The images are representative tissue of each group. (C): Villous morphometric measurements of (i) villous heights, (ii) crypt depth, (iii) villous width and (iv) villus/crypt ratio. Values indicate mean ± SEM (n = 4, 7–9 villi/animal). Asterisks indicate significant differences tested using the ANOVA-Dunnett’s multiple comparisons test (vs. TPN group, **** p < 0.0001, ** p < 0.01, * p < 0.05).
Figure 6mRNA expression and protein and activities of representative genes involved in digestion and absorption of nutrients in TPN model of rats. (A) Results of qRT-PCR for carbohydrates digestion/absorption relate genes, (i) Si, (ii) Sglt1 and (iii) Glut5. (B) Results of qRT-PCR for lipid transport related genes, (i) Fabp1, (ii) Fabp2, (iii) Apoa1, (iv) Apob, (v) Apoc3 and (vi) Apoa4. Values indicate mean ± SEM (n = 4). (C) Results of immunoblot analysis for sucrase-isomaltase complex (SI) and fatty acid binding protein 2 (FABP2). Transcriptional factor IIB (TFIIB) is internal control. The graphs indicate relative protein expression levels when the value of Sham group is 1.0., (i) SI and (ii) FABP2. Values indicate mean ± SEM (n = 3). (D) Results of disaccharidase activity assay. (i) sucrase activity, (ii) maltase activity and (iii) lactase activity. Values indicate mean ± SEM (n = 4). Asterisks indicate significant differences tested using the ANOVA-Dunnett’s multiple comparisons test (vs. TPN group, **** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05).
Figure 7Expression analysis of representative molecules involved in intestinal barrier function and hormonal pathway molecules related to intestinal epithelial cells maturation in TPN model of rats. (A) Results of qRT-PCR for junctional adhesion molecules-related genes, (i) Tjp1, (ii) Ocln, (iii) Cldn3, (iv) Cldn4, (v) Cldn7 and (vi) Cldn15. (B) Results of qRT-PCR for hormonal pathway-related molecules for intestinal epithelial cell maturation related genes, (i) Glp2r, (ii) Igf1r, (iii) Igf2r, (iv) Igfbp1, (v) Igfbp3 and (vi) Igfbp4. Values indicate mean ± SEM (n = 4). (C) Results of immunoblot analysis for tight junction protein 1 (TJP-1) and occludin (OCLN). Transcriptional factor IIB (TFIIB) is internal control. The graphs indicate relative protein expression levels when the value of Sham group is 1.0. Values indicate mean ± SEM (n = 3). Asterisks indicate significant differences tested using the ANOVA-Dunnett’s multiple comparisons test (vs. TPN group, **** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05). (D) Results of immunofluorescence staining in jejunal sectional samples, (i) Sham, (ii) TPN, (iii) TPN + glucose, (iv) TPN + fructose, (v) TPN + allulose and (vi) no primary antibody for method control. The images were photographed at 400× magnification. The images are representative tissue of each group. The white scale bar at the top right of each image indicates 50 μm. Upper images indicate TJP-1 (green) and nucleic staining by DAPI (blue). Lower images indicate Occludin (green) and nucleic staining by DAPI (blue).
Figure 8Concentration of GLP-2, IGF-2, and GLP-1 in plasma of peripheral blood in TPN model of rats and portal vein blood in normal mice. Measurement of total GLP-2 by EIA kit, IGF-2 by ELISA kit and total GLP-1 by ELISA kit in plasma. (A) Total GLP-2 (i) and IGF-2 (ii) concentration in plasma of peripheral blood in TPN model of rats. Values indicate mean ± SEM (n = 4). Asterisks indicate significant differences tested using the ANOVA-Dunnett’s multiple comparisons test (vs. TPN group, **** p < 0.0001, ** p < 0.01). (B) Total GLP-2 (i) and total GLP-1 (ii) concentration in plasma of portal vein blood in normal mice. Values indicate mean ± SEM (n = 6). Asterisks indicate significant differences tested using the ANOVA-Dunnett’s multiple comparisons test (vs. saline group, **** p < 0.0001, *** p < 0.001, * p < 0.05).