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Fructose Stimulated Colonic Arginine and Proline Metabolism Dysbiosis, Altered Microbiota and Aggravated Intestinal Barrier Dysfunction in DSS-Induced Colitis Rats. Nutrients 2023; 15:nu15030782. [PMID: 36771488 PMCID: PMC9921751 DOI: 10.3390/nu15030782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
The dysbiosis of intestinal microbiota and their metabolites is linked to the occurrence and development of metabolic syndrome. Although fructose has been proven to be associated with worsened mucus in the colon, its mechanism remains unclear. In this study, we evaluated the relatively low intake of sucrose and fructose in the experimental colitis of Sprague Dawley rats by investigating the microbiome and metabolome. Results showed that sucrose and fructose significantly reduced body weight, colon length and increased inflammation infiltration in colon. Sucrose and fructose worsen colon functions by inhibiting the expression of tight junction (TJ) protein ZO-1 and increasing the level of lipopolysaccharide neoandrographolide (LPS) in plasma, while fructose was more significant. Furthermore, sucrose and fructose significantly changed the composition of gut microbiota characterized by decreasing Adlercreutzia, Leuconostoc, Lactococcus and Oscillospira and increasing Allobaculum and Holdemania along with reducing histidine, phenylalanine, arginine, glycine, aspartic acid, serine, methionine valine, alanine, lysine, isoleucine, leucine, threonine, tryptophan, tyrosine, proline, citrulline, 4-hydroxyproline and gamma amino butyric acid (GABA). Metabolome results showed that fructose may aggravate experimental colitis symptoms by inducing amino metabolism dysbiosis in the colon. These findings suggested that fructose worsened colitis by manipulating the crosstalk between gut microbiota and their metabolites.
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Sui K, Yasrebi A, Longoria CR, MacDonell AT, Jaffri ZH, Martinez SA, Fisher SE, Malonza N, Jung K, Tveter KM, Wiersielis KR, Uzumcu M, Shapses SA, Campbell SC, Roepke TA, Roopchand DE. Coconut Oil Saturated Fatty Acids Improved Energy Homeostasis but not Blood Pressure or Cognition in VCD-Treated Female Mice. Endocrinology 2023; 164:bqad001. [PMID: 36626144 PMCID: PMC11009791 DOI: 10.1210/endocr/bqad001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
Obesity, cardiometabolic disease, cognitive decline, and osteoporosis are symptoms of postmenopause, which can be modeled using 4-vinylcyclohexene diepoxide (VCD)-treated mice to induce ovarian failure and estrogen deficiency combined with high-fat diet (HFD) feeding. The trend of replacing saturated fatty acids (SFAs), for example coconut oil, with seed oils that are high in polyunsaturated fatty acids, specifically linoleic acid (LA), may induce inflammation and gut dysbiosis, and worsen symptoms of estrogen deficiency. To investigate this hypothesis, vehicle (Veh)- or VCD-treated C57BL/6J mice were fed a HFD (45% kcal fat) with a high LA:SFA ratio (22.5%: 8%), referred to as the 22.5% LA diet, or a HFD with a low LA:SFA ratio (1%: 31%), referred to as 1% LA diet, for a period of 23 to 25 weeks. Compared with VCD-treated mice fed the 22.5% LA diet, VCD-treated mice fed the 1% LA diet showed lower weight gain and improved glucose tolerance. However, VCD-treated mice fed the 1% LA diet had higher blood pressure and showed evidence of spatial cognitive impairment. Mice fed the 1% LA or 22.5% LA diets showed gut microbial taxa changes that have been associated with a mix of both beneficial and unfavorable cognitive and metabolic phenotypes. Overall, these data suggest that consuming different types of dietary fat from a variety of sources, without overemphasis on any particular type, is the optimal approach for promoting metabolic health regardless of estrogen status.
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Affiliation(s)
- Ke Sui
- Department of Food Science, NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Ali Yasrebi
- Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research, Center for Human Nutrition, Exercise and Metabolism Center, and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Candace R Longoria
- Department of Kinesiology and Applied Physiology, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research, Center for Human Nutrition, Exercise and Metabolism Center, and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Avery T MacDonell
- Department of Food Science, NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Zehra H Jaffri
- Department of Food Science, NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Savannah A Martinez
- Department of Food Science, NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Samuel E Fisher
- Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Natasha Malonza
- Department of Kinesiology and Applied Physiology, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research, Center for Human Nutrition, Exercise and Metabolism Center, and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Katie Jung
- Department of Nutritional Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Kevin M Tveter
- Department of Food Science, NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Kimberly R Wiersielis
- Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research, Center for Human Nutrition, Exercise and Metabolism Center, and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Mehmet Uzumcu
- Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Sue A Shapses
- Department of Nutritional Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research, Center for Human Nutrition, Exercise and Metabolism Center, and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Sara C Campbell
- Department of Kinesiology and Applied Physiology, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research, Center for Human Nutrition, Exercise and Metabolism Center, and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Troy A Roepke
- Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research, Center for Human Nutrition, Exercise and Metabolism Center, and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Diana E Roopchand
- Department of Food Science, NJ Institute for Food Nutrition and Health (Rutgers Center for Lipid Research and Center for Nutrition Microbiome and Health), Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
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Cai S, Lin J, Li Z, Liu S, Feng Z, Zhang Y, Zhang Y, Huang J, Chen Q. Alterations in intestinal microbiota and metabolites in individuals with Down syndrome and their correlation with inflammation and behavior disorders in mice. Front Microbiol 2023; 14:1016872. [PMID: 36910172 PMCID: PMC9998045 DOI: 10.3389/fmicb.2023.1016872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
The intestinal microbiota and fecal metabolome have been shown to play a vital role in human health, and can be affected by genetic and environmental factors. We found that individuals with Down syndrome (DS) had abnormal serum cytokine levels indicative of a pro-inflammatory environment. We investigated whether these individuals also had alterations in the intestinal microbiome. High-throughput sequencing of bacterial 16S rRNA gene in fecal samples from 17 individuals with DS and 23 non-DS volunteers revealed a significantly higher abundance of Prevotella, Escherichia/Shigella, Catenibacterium, and Allisonella in individuals with DS, which was positively associated with the levels of pro-inflammatory cytokines. GC-TOF-MS-based fecal metabolomics identified 35 biomarkers (21 up-regulated metabolites and 14 down-regulated metabolites) that were altered in the microbiome of individuals with DS. Metabolic pathway enrichment analyses of these biomarkers showed a characteristic pattern in DS that included changes in valine, leucine, and isoleucine biosynthesis and degradation; synthesis and degradation of ketone bodies; glyoxylate and dicarboxylate metabolism; tyrosine metabolism; lysine degradation; and the citrate cycle. Treatment of mice with fecal bacteria from individuals with DS or Prevotella copri significantly altered behaviors often seen in individuals with DS, such as depression-associated behavior and impairment of motor function. These studies suggest that changes in intestinal microbiota and the fecal metabolome are correlated with chronic inflammation and behavior disorders associated with DS.
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Affiliation(s)
- Shaoli Cai
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, Fujian, China.,Fujian Key Laboratory of Innate Immune Biology, Fujian Normal University, Fuzhou, Fujian, China.,College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Jinxin Lin
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, Fujian, China.,Fujian Key Laboratory of Innate Immune Biology, Fujian Normal University, Fuzhou, Fujian, China.,College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Zhaolong Li
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
| | - Songnian Liu
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, Fujian, China.,Fujian Key Laboratory of Innate Immune Biology, Fujian Normal University, Fuzhou, Fujian, China
| | - Zhihua Feng
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, Fujian, China.,Fujian Key Laboratory of Innate Immune Biology, Fujian Normal University, Fuzhou, Fujian, China.,College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Yangfan Zhang
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, Fujian, China.,Fujian Key Laboratory of Innate Immune Biology, Fujian Normal University, Fuzhou, Fujian, China.,College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Yanding Zhang
- College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Jianzhong Huang
- College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Qi Chen
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, Fujian, China.,Fujian Key Laboratory of Innate Immune Biology, Fujian Normal University, Fuzhou, Fujian, China.,College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
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