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Bao W, You Y, Ni J, Hou H, Lyu J, Feng G, Wang Y, You K, Zhang S, Zhang L, Cao X, Wang X, Li H, Li H, Xu J, Liu C, Luo X, Du P, Chen D, Shen X. Inhibiting sorting nexin 10 promotes mucosal healing through SREBP2-mediated stemness restoration of intestinal stem cells. SCIENCE ADVANCES 2023; 9:eadh5016. [PMID: 37647408 PMCID: PMC10468130 DOI: 10.1126/sciadv.adh5016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/28/2023] [Indexed: 09/01/2023]
Abstract
Intestinal stem cell (ISC) is a promising therapeutic target for inflammatory bowel disease. Cholesterol availability is critical for ISC stemness. Low plasma cholesterol is a typical feature of Crohn's disease (CD); however, its impact on mucosal healing remains unclear. Here, we identified an essential role of sorting nexin 10 (SNX10) in maintaining the stemness of ISCs. SNX10 expression in intestinal tissues positively correlates with the severity of human CD and mouse colitis. Conditional SNX10 knockout in intestinal epithelial cells or ISCs promotes intestinal mucosal repair by maintaining the ISC population associated with increased intracellular cholesterol synthesis. Disassociation of ERLIN2 with SCAP by SNX10 deletion enhances the activation of SREBP2, resulting in increased cholesterol biosynthesis. DC-SX029, a small-molecule inhibitor of SNX10, was used to verify the druggable potential of SNX10 for the treatment of patients with CD. Our study provides a strategy for mucosal healing through SREBP2-mediated stemness restoration of ISCs.
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Affiliation(s)
- Weilian Bao
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
- Department of Natural Medicine, School of Pharmacy, Fudan University, Shanghai, China
| | - Yan You
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Jiahui Ni
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Hui Hou
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Jiaren Lyu
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Guize Feng
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Yirui Wang
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Keyuan You
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Sulin Zhang
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Lijie Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xinyue Cao
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Xu Wang
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Haidong Li
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Hong Li
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Jiake Xu
- School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chenying Liu
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Xiaomin Luo
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Peng Du
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Daofeng Chen
- Department of Natural Medicine, School of Pharmacy, Fudan University, Shanghai, China
| | - Xiaoyan Shen
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
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Feldner-Busztin D, Firbas Nisantzis P, Edmunds SJ, Boza G, Racimo F, Gopalakrishnan S, Limborg MT, Lahti L, de Polavieja GG. Dealing with dimensionality: the application of machine learning to multi-omics data. Bioinformatics 2023; 39:6986971. [PMID: 36637211 PMCID: PMC9907220 DOI: 10.1093/bioinformatics/btad021] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 12/02/2022] [Accepted: 01/11/2023] [Indexed: 01/14/2023] Open
Abstract
MOTIVATION Machine learning (ML) methods are motivated by the need to automate information extraction from large datasets in order to support human users in data-driven tasks. This is an attractive approach for integrative joint analysis of vast amounts of omics data produced in next generation sequencing and other -omics assays. A systematic assessment of the current literature can help to identify key trends and potential gaps in methodology and applications. We surveyed the literature on ML multi-omic data integration and quantitatively explored the goals, techniques and data involved in this field. We were particularly interested in examining how researchers use ML to deal with the volume and complexity of these datasets. RESULTS Our main finding is that the methods used are those that address the challenges of datasets with few samples and many features. Dimensionality reduction methods are used to reduce the feature count alongside models that can also appropriately handle relatively few samples. Popular techniques include autoencoders, random forests and support vector machines. We also found that the field is heavily influenced by the use of The Cancer Genome Atlas dataset, which is accessible and contains many diverse experiments. AVAILABILITY AND IMPLEMENTATION All data and processing scripts are available at this GitLab repository: https://gitlab.com/polavieja_lab/ml_multi-omics_review/ or in Zenodo: https://doi.org/10.5281/zenodo.7361807. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Dylan Feldner-Busztin
- Champalimaud Centre for the Unknown, Champalimaud Foundation, 1400-038 Lisbon, Portugal
| | | | - Shelley Jane Edmunds
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Gergely Boza
- Centre for Ecological Research, 1113 Budapest, Hungary
| | - Fernando Racimo
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Shyam Gopalakrishnan
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Morten Tønsberg Limborg
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Leo Lahti
- Department of Computing, University of Turku, 20014 Turku, Finland
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Nayak SN, Aravind B, Malavalli SS, Sukanth BS, Poornima R, Bharati P, Hefferon K, Kole C, Puppala N. Omics Technologies to Enhance Plant Based Functional Foods: An Overview. Front Genet 2021; 12:742095. [PMID: 34858472 PMCID: PMC8631721 DOI: 10.3389/fgene.2021.742095] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/13/2021] [Indexed: 11/25/2022] Open
Abstract
Functional foods are natural products of plants that have health benefits beyond necessary nutrition. Functional foods are abundant in fruits, vegetables, spices, beverages and some are found in cereals, millets, pulses and oilseeds. Efforts to identify functional foods in our diet and their beneficial aspects are limited to few crops. Advances in sequencing and availability of different omics technologies have given opportunity to utilize these tools to enhance the functional components of the foods, thus ensuring the nutritional security. Integrated omics approaches including genomics, transcriptomics, proteomics, metabolomics coupled with artificial intelligence and machine learning approaches can be used to improve the crops. This review provides insights into omics studies that are carried out to find the active components and crop improvement by enhancing the functional compounds in different plants including cereals, millets, pulses, oilseeds, fruits, vegetables, spices, beverages and medicinal plants. There is a need to characterize functional foods that are being used in traditional medicines, as well as utilization of this knowledge to improve the staple foods in order to tackle malnutrition and hunger more effectively.
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Affiliation(s)
- Spurthi N. Nayak
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - B. Aravind
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Sachin S. Malavalli
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - B. S. Sukanth
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - R. Poornima
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Pushpa Bharati
- Department of Food Science and Nutrition, University of Agricultural Sciences, Dharwad, India
| | - Kathleen Hefferon
- Department of Microbiology, Cornell University, Ithaca, NY, United States
| | - Chittaranjan Kole
- President, International Phytomedomics and Nutriomics Consortium (ipnc.info), Daejeon, South Korea
| | - Naveen Puppala
- New Mexico State University-Agricultural Science Center at Clovis, New Mexico, NM, United States
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He X, Fang J, Chen X, Zhao Z, Li Y, Meng Y, Huang L. Actinidia chinensis Planch.: A Review of Chemistry and Pharmacology. Front Pharmacol 2019; 10:1236. [PMID: 31736750 PMCID: PMC6833939 DOI: 10.3389/fphar.2019.01236] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 09/27/2019] [Indexed: 12/12/2022] Open
Abstract
Actinidia chinensis Planch. (A. chinensis), commonly known as Chinese kiwifruit, is a China native fruit, which becomes increasingly popular due to attractive economic, nutritional, and health benefits properties. The whole plant including fruits, leaves, vines, and roots of A. chinensis are used mainly as food or additive in food products and as folk medicine in China. It is a good source of triterpenoids, polyphenols, vitamin C, carbohydrate, amino acid, and minerals. These constituents render the A. chinensis with a wide range of pharmacological properties including antitumor, antioxidant, anti-inflammatory, immunoregulatory, hypolipemic, antidiabetic, and cardiovascular protective activities, suggesting that it may possibly be value in the prevention and treatment of pathologies associated to cancer, oxidative stress, and aging. This minireview provides a brief knowledge about the recent advances in chemistry, biological activities, utilization, and storage of Chinese kiwifruit. Future research directions on how to better use of this crop are suggested.
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Affiliation(s)
- Xirui He
- Department of Bioengineering, Zhuhai Campus Zunyi Medical University, Zhuhai, China
| | - Jiacheng Fang
- The College of Life Sciences, Northwest University, Xi'an, China
| | - Xufei Chen
- The College of Life Sciences, Northwest University, Xi'an, China
| | - Zefeng Zhao
- The College of Life Sciences, Northwest University, Xi'an, China
| | - Yongsheng Li
- Honghui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Yibing Meng
- Honghui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Linhong Huang
- Honghui Hospital, Xi'an Jiaotong University, Xi'an, China
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Bayer SB, Gearry RB, Drummond LN. Putative mechanisms of kiwifruit on maintenance of normal gastrointestinal function. Crit Rev Food Sci Nutr 2017; 58:2432-2452. [PMID: 28557573 DOI: 10.1080/10408398.2017.1327841] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Kiwifruits are recognized as providing relief from constipation and symptoms of constipation-predominant irritable bowel syndrome (IBS-C). However, the underlying mechanisms, specifically in regards to gastrointestinal transit time and motility, are still not completely understood. This review provides an overview on the physiological and pathophysiological processes underlying constipation and IBS-C, the composition of kiwifruit, and recent advances in the research of kiwifruit and abdominal comfort. In addition, gaps in the research are highlighted and scientific studies of other foods with known effects on the gastrointestinal tract are consulted to find likely mechanisms of action. While the effects of kiwifruit fiber are well documented, observed increases in gastrointestinal motility caused by kiwifruit are not fully characterized. There are a number of identified mechanisms that may be activated by kiwifruit compounds, such as the induction of motility via protease-activated signaling, modulation of microflora, changes in colonic methane status, bile flux, or mediation of inflammatory processes.
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Affiliation(s)
- Simone Birgit Bayer
- a Department of Pathology , Center for Free Radical Research, University of Otago , 2 Riccarton Avenue, PO Box 4345, Christchurch , New Zealand
| | - Richard Blair Gearry
- b Department of Medicine , University of Otago , 2 Riccarton Avenue, PO Box 4345, Christchurch , New Zealand
| | - Lynley Ngaio Drummond
- c Drummond Food Science Advisory Ltd. , 1137 Drain Road, Killinchy RD 2, Leeston , New Zealand
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DNA Microarray-Based Screening and Characterization of Traditional Chinese Medicine. MICROARRAYS 2017; 6:microarrays6010004. [PMID: 28146102 PMCID: PMC5374364 DOI: 10.3390/microarrays6010004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 01/23/2017] [Indexed: 12/14/2022]
Abstract
The application of DNA microarray assay (DMA) has entered a new era owing to recent innovations in omics technologies. This review summarizes recent applications of DMA-based gene expression profiling by focusing on the screening and characterizationof traditional Chinese medicine. First, herbs, mushrooms, and dietary plants analyzed by DMA along with their effective components and their biological/physiological effects are summarized and discussed by examining their comprehensive list and a list of representative effective chemicals. Second, the mechanisms of action of traditional Chinese medicine are summarized by examining the genes and pathways responsible for the action, the cell functions involved in the action, and the activities found by DMA (silent estrogens). Third, applications of DMA for traditional Chinese medicine are discussed by examining reported examples and new protocols for its use in quality control. Further innovations in the signaling pathway based evaluation of beneficial effects and the assessment of potential risks of traditional Chinese medicine are expected, just as are observed in other closely related fields, such as the therapeutic, environmental, nutritional, and pharmacological fields.
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Abstract
BACKGROUND Current understanding of the onset of inflammatory bowel diseases relies heavily on data derived from animal models of colitis. However, the omission of information concerning the method used makes the interpretation of studies difficult or impossible. We assessed the current quality of methods reporting in 4 animal models of colitis that are used to inform clinical research into inflammatory bowel disease: dextran sulfate sodium, interleukin-10, CD45RB T cell transfer, and 2,4,6-trinitrobenzene sulfonic acid (TNBS). METHODS We performed a systematic review based on PRISMA guidelines, using a PubMed search (2000-2014) to obtain publications that used a microarray to describe gene expression in colitic tissue. Methods reporting quality was scored against a checklist of essential and desirable criteria. RESULTS Fifty-eight articles were identified and included in this review (29 dextran sulfate sodium, 15 interleukin-10, 5 T cell transfer, and 16 TNBS; some articles use more than 1 colitis model). A mean of 81.7% (SD = ±7.038) of criteria were reported across all models. Only 1 of the 58 articles reported all essential criteria on our checklist. Animal age, gender, housing conditions, and mortality/morbidity were all poorly reported. CONCLUSIONS Failure to include all essential criteria is a cause for concern; this failure can have large impact on the quality and replicability of published colitis experiments. We recommend adoption of our checklist as a requirement for publication to improve the quality, comparability, and standardization of colitis studies and will make interpretation and translation of data to human disease more reliable.
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Barnett M, Young W, Cooney J, Roy N. Metabolomics and Proteomics, and What to Do with All These 'Omes': Insights from Nutrigenomic Investigations in New Zealand. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2015; 7:274-82. [PMID: 25997469 DOI: 10.1159/000381349] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 03/03/2015] [Indexed: 12/29/2022]
Abstract
BACKGROUND/AIMS Nutrigenomics New Zealand has invested considerable effort researching the role of nutrient-gene interactions in human inflammatory bowel disease (IBD). This research has utilised a number of 'omics' techniques, including proteomics and metabolomics. METHODS Mouse models of intestinal inflammation have been used to investigate the mechanisms underlying IBD and to test foods or food components for potential beneficial effects. Proteomics combining two-dimensional gel electrophoresis with liquid chromatography-mass spectrometry (LC-MS) analysis of peptides, and metabolomics using both gas chromatography-MS and LC-MS have been combined with transcriptomics and microbiome analyses to comprehensively assess samples derived from these models. RESULTS Across several independent studies, we have identified key proteins and metabolites which are involved in chronic inflammation. We have also identified food compounds such as polyphenols (green tea polyphenols or curcumin) and polyunsaturated fatty acids, or whole foods such as salmon and broccoli, that reduce inflammation by regulating the activity of these proteins and metabolites. CONCLUSIONS Omics techniques, including proteomics and metabolomics, have deepened our insight into the mechanisms underlying intestinal inflammation, and how nutrient-gene interactions may influence these. However, challenges remain in dealing with the enormous quantity of data generated by these techniques, and in utilising these data to improve the outcome for people with IBD.
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Affiliation(s)
- Matthew Barnett
- Food Nutrition and Health Team, AgResearch Ltd., Grasslands Research Centre, Palmerston North, New Zealand
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Valdés A, Ibáñez C, Simó C, García-Cañas V. Recent transcriptomics advances and emerging applications in food science. Trends Analyt Chem 2013. [DOI: 10.1016/j.trac.2013.06.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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Russ AE, Peters JS, McNabb WC, Barnett MPG, Anderson RC, Park Z, Zhu S, Maclean P, Young W, Reynolds GW, Roy NC. Gene expression changes in the colon epithelium are similar to those of intact colon during late inflammation in interleukin-10 gene deficient mice. PLoS One 2013; 8:e63251. [PMID: 23700416 PMCID: PMC3659096 DOI: 10.1371/journal.pone.0063251] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Accepted: 04/01/2013] [Indexed: 01/08/2023] Open
Abstract
In addition to their role in absorption and secretion, epithelial cells play an important role in the protection of the colon mucosa from the resident microbiota and are important for the maintenance of homeostasis. Microarray analysis of intact colon samples is widely used to gain an overview of the cellular pathways and processes that are active in the colon during inflammation. Laser microdissection of colon epithelial cells allows a more targeted analysis of molecular pathways in the mucosa, preceding and during inflammation, with potentially increased sensitivity to changes in specific cell populations. The aim of this study was to investigate the molecular changes that occur in early and late inflammation stages in colon epithelium of a mouse model of inflammatory bowel diseases. Microarray analysis of intact colon samples and microdissected colon epithelial cell samples from interleukin-10 gene deficient and control mice at 6 and 12 weeks of age was undertaken. Results of gene set enrichment analysis showed that more immune-related pathways were identified between interleukin-10 gene deficient and control mice at 6 weeks of age in epithelial cells than intact colon. This suggests that targeting epithelial cells could increase sensitivity for detecting immune changes that occur early in the inflammatory process. However, in the later stages of inflammation, microarray analyses of intact colon and epithelium both provide a similar overview of gene expression changes in the colon mucosa at the pathway level.
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Affiliation(s)
- Anna E. Russ
- Food Nutrition & Health Team, Food & Bio-based Products Group, AgResearch Grasslands, Palmerston North, New Zealand
- Institute of Food Nutrition and Human Health, Massey University, Palmerston North, New Zealand
| | - Jason S. Peters
- Food Nutrition & Health Team, Food & Bio-based Products Group, AgResearch Grasslands, Palmerston North, New Zealand
| | - Warren C. McNabb
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch Grasslands, Palmerston North, New Zealand
| | - Matthew P. G. Barnett
- Food Nutrition & Health Team, Food & Bio-based Products Group, AgResearch Grasslands, Palmerston North, New Zealand
| | - Rachel C. Anderson
- Food Nutrition & Health Team, Food & Bio-based Products Group, AgResearch Grasslands, Palmerston North, New Zealand
| | - Zaneta Park
- Bioinformatics & Statistics, AgResearch, Hamilton, New Zealand
| | - Shuotun Zhu
- Discipline of Nutrition, Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand
- Auckland Cancer Society Research Centre, The University of Auckland, Auckland, New Zealand
| | - Paul Maclean
- Bioinformatics & Statistics, AgResearch, Hamilton, New Zealand
| | - Wayne Young
- Food Nutrition & Health Team, Food & Bio-based Products Group, AgResearch Grasslands, Palmerston North, New Zealand
| | - Gordon W. Reynolds
- Institute of Food Nutrition and Human Health, Massey University, Palmerston North, New Zealand
| | - Nicole C. Roy
- Food Nutrition & Health Team, Food & Bio-based Products Group, AgResearch Grasslands, Palmerston North, New Zealand
- Riddet Institute, Massey University, Palmerston North, New Zealand
- * E-mail:
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Drummond L, Gearry RB. Kiwifruit modulation of gastrointestinal motility. ADVANCES IN FOOD AND NUTRITION RESEARCH 2013; 68:219-32. [PMID: 23394990 DOI: 10.1016/b978-0-12-394294-4.00012-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Disorders of gastrointestinal motility are common, resulting in a decreased quality of life of individuals, and an economic burden. Gastrointestinal motility is categorized according to location within the gastrointestinal tract: stomach, small intestine, and colon, with the colon being the dominant compartment in determining overall gastrointestinal transit. Constipation results from gastrointestinal dysmotility and is a significant chronic health issue globally. Clinical studies in a range of adult populations consistently indicate that kiwifruit are a highly effective dietary option to promote laxation. This, together with emerging evidence for the putative effects of kiwifruit in beneficially promoting gastric emptying and digesta mixing, suggests that kiwifruit are physiologically active throughout the gastrointestinal tract. Although the mechanisms of this action remain unknown, the unique behavior of kiwifruit fiber during digestion and the potential action of bioactive components in kiwifruit may contribute to the effectiveness of kiwifruit in modulating gastrointestinal motility.
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Nanau RM, Neuman MG. Nutritional and probiotic supplementation in colitis models. Dig Dis Sci 2012; 57:2786-810. [PMID: 22736018 DOI: 10.1007/s10620-012-2284-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2012] [Accepted: 06/08/2012] [Indexed: 01/01/2023]
Abstract
In vitro and animals models have long been used to study human diseases and identify novel therapeutic approaches that can be applied to combat these conditions. Ulcerative colitis and Crohn's disease are the two main entities of inflammatory bowel disease (IBD). There is an intricate relationship between IBD features in human patients, in vitro and animal colitis models, mechanisms and possible therapeutic approaches in these models, and strategies that can be extrapolated and applied in humans. Malnutrition, particularly protein-energy malnutrition and vitamin and micronutrient deficiencies, as well as dysregulation of the intestinal microbiota, are common features of IBD. Based on these observations, dietary supplementation with essential nutrients known to be in short supply in the diet in IBD patients and with other molecules believed to provide beneficial anti-inflammatory effects, as well as with probiotic organisms that stimulate immune functions and resistance to infection has been tested in colitis models. Here we review current knowledge on nutritional and probiotic supplementation in in vitro and animal colitis models. While some of these strategies require further fine-tuning before they can be applied in human IBD patients, their intended purpose is to prevent, delay or treat disease symptoms in a non-pharmaceutical manner.
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Affiliation(s)
- Radu M Nanau
- Department of Pharmacology and Toxicology, Institute of Drug Research, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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