Jatrorrhizine Balances the Gut Microbiota and Reverses Learning
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Microbial Changes Associated with IBD Mouse Model and Microbiota Transplantation Confers Colitis Symptom in Microbiota Deletion Mice
Microbial Changes Associated with IBD Mouse Model and Microbiota Transplantation Confers Colitis Symptom in Microbiota Deletion Mice Lijun Shang China Agricultural University Hongbin Liu ShenZhen Institutes of Advanced Technology Ziqi Dai China Agricultural University Jie Li China Agricultural University Meixia Chen China Agricultural University Xiangfang Zeng China Agricultural University Shiyan Qiao ( [email protected] ) Research article Keywords: Gut microbiota, dysbiosis, inammation bowel disease, DSS, microbiota transplantation Posted Date: October 10th, 2019 DOI: https://doi.org/10.21203/rs.2.15951/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/21 Abstract Background Inammatory bowel disease (IBD), including Crohn’s disease (CD) and Ulcerative colitis (UC), are chronic and relapsing inammation occurring among the gastrointestinal tract. Available evidence suggests that host microbiome, as well as various components of the mucosal immune system, are implicated in the pathogenesis of IBD though the exact mechanism remains unknown. Advances in DNA sequencing technologies have provided new insights on the function identication of gut microbiota. In this study, we investigated the gut microbiota response to colitis and discussed the underlying mechanisms of this alteration in combination with latest research. The function of altered microbiota was investigated through microbiota transplantation technology.Results Twenty-seven female C57BL/6J mice were fed DSS solution for 5 days and followed by 5 days normal drinking water. D 0 was considered as normal control while d 5 and d 10 were seen as disease progressive phase and recovery phase, respectively. Alpha diversity results showed that the detected microbiota composition differences among 3 phases were not due to the presence and/or absence of rare phylotypes. -
The Role of the Intestinal Microbiota in the Modulation of Food Intake and Body Weight
THE ROLE OF THE INTESTINAL MICROBIOTA IN THE MODULATION OF FOOD INTAKE AND BODY WEIGHT Matthew John Dalby BSc (Hons) Medical Microbiology, University of Edinburgh MSc (Distinction) Molecular Nutrition, University of Aberdeen A thesis presented for the degree of Doctor of Philosophy at the University of Aberdeen 2016 DECLARATION I declare that this thesis has been composed by myself and not been presented or accepted in any previous application for degree. The work recorded herein was carried out by myself unless otherwise stated. All sources of information have been acknowledged by means of reference. Matthew John Dalby Page | II ACKNOWLEDGEMENTS I would like to express my gratitude to my supervisors, Peter Morgan and Sandy Ross, for their continuous support and guidance during my project, for being so understanding when my health has made work difficult, and for generally being the best supervisors I could have wished for. I am indebted to Lynn Thomson for her invaluable help, advice in the lab, and for always knowing where everything is; and, to Karen Garden for enabling the completion of work I would not have been able to finish. I also wish to thank Lynda Williams for her advice over the years. I am grateful to everyone associated with the Lawson Lab for being so kind, friendly, and helpful throughout my time there. I am also indebted to Alan Walker for his teaching and time in grasping the complexities Next Generation sequencing. I am grateful to Donna Wallace and all of the staff at the MRF for all of the help and work in setting up and running the mouse studies, and to Christine Grant for her aid with sample collection. -
D4006- Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core
D4006- Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core Contents 1 Methods: 1 1.1 Sequencing . .1 1.2 Data processing . .1 2 Summary of Findings: 2 2.1 Sequencing analysis . .2 2.2 Microbial diversity . .2 2.2.1 Alpha Diversity . .2 2.2.2 Beta Diversity . 10 2.3 Data analysis using taxa abundance data . 13 2.3.1 Stacked bar graphs of Taxa abundances at each level . 14 A Appendix 1 (Taxa Abundance Tables) 30 B Appendix 2 (Taxa removed from filtered datasets at each level) 37 References: 43 Core Contacts: Helen E. Raybould, Ph.D., Core Leader ([email protected]) Trina A. Knotts, Ph.D., Core Co-Leader ([email protected]) Michael L. Goodson, Ph.D., Core Scientist ([email protected]) Client(s): Kent Lloyd, DVM PhD ;MMRRC; UC Davis Project #: MBP-2079 MMRRC strain ID: MMRRC_043687 Animal Information: The strain was donated to the MMRRC by John Rubenstein at UCSF. Fecal samples were obtained from animals housed under the care of John Rubenstein at UCSF. 1 Methods: Brief Project Description: MMRRC strains are often contributed to the MMRRC to fulfill the resource sharing aspects of NIH grants. Since transporting mice to another facilty often causes a microbiota shift, having a record of the original fecal microbiota from the donor institution where the original phenotyping or testing was performed may prove helpful if a phenotype is lost after transfer. Several MMRRC mouse lines were selected for fecal microbiota profiling of the microbiota. Table 1: Animal-Strain Information X.SampleID TreatmentGroup Animal_ID Genotype Line Sex MMRRC.043687.M218 MMRRC.043687_Het_M M218 Het MMRRC.043687 M MMRRC.043687.M221 MMRRC.043687_Het_M M221 Het MMRRC.043687 M 1 1.1 Sequencing Frozen fecal or regional gut samples were shipped on dry ice to UC Davis MMPC and Host Microbe Systems Biology Core. -
A-1 A-2 A-3 A-4 B-1 B-2 B-3 B-4 Firmicutes 64.124 53.5694
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) Gut Supplementary table 4. Abundance of gut microbes in eight normal diet mice Group A Group B Mean Mean Taxon Bacteria abundance abundance P-value A-1 A-2 A-3 A-4 B-1 B-2 B-3 B-4 in A(%) in B(%) Firmicutes 64.124 53.5694 61.0436 49.0273 55.938 54.0848 57.4528 55.3436 56.94108 55.7048 1 Bacteroidetes 20.5758 34.0121 25.5683 37.3629 32.2311 35.1894 26.227 27.9919 29.37978 30.40985 0.885714 Proteobacteria 3.9745 2.937 2.5058 3.082 2.408 2.6496 2.6024 3.3909 3.124825 2.762725 0.485714 Deferribacteres 4.0744 7.5101 4.5577 5.5551 3.1394 2.2448 7.2437 7.6617 5.424325 5.0724 0.885714 Phylum Tenericutes 4.2897 0.1079 3.5036 3.0895 3.3889 3.2412 5.0215 3.4831 2.747675 3.783675 0.685714 Actinobacteria 2.3601 0.813 1.6599 1.0556 2.4452 1.9419 0.8619 1.2973 1.47215 1.636575 0.685714 Cyanobacteria 0.3613 0.6001 0.9922 0.7201 0.3425 0.4982 0.4453 0.7358 0.668425 0.50545 0.485714 Saccharibacteria 0.2037 0.1497 0.1369 0.0792 0.062 0.133 0.1091 0.0821 0.142375 0.09655 0.2 Verrucomicrobia 0.0077 0 0 0 0 0 0 0 0.001925 0 0.453255 Clostridia 53.0789 52.2715 56.6566 42.6842 47.843 43.2599 50.5484 51.7449 51.1728 48.34905 0.342857 Bacteroidia 20.5758 34.0121 25.5683 37.3629 32.2311 35.1894 26.227 27.9886 29.37978 30.40903 0.885714 Deferribacteres 4.0744 7.5101 4.5577 5.5551 3.1394 2.2448 7.2437 7.6617 5.424325 5.0724 0.885714 Erysipelotrichia 9.6979 0.5569 -
Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core
D4006- Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core Contents 1 Methods: 1 1.1 Sequencing . .1 1.2 Data processing . .1 2 Summary of Findings: 2 2.1 Sequencing analysis . .2 2.2 Microbial diversity . .2 2.2.1 Alpha Diversity . .2 2.2.2 Beta Diversity . 10 2.3 Data analysis using taxa abundance data . 13 2.3.1 Stacked bar graphs of Taxa abundances at each level . 14 A Appendix 1 (Taxa Abundance Tables) 30 B Appendix 2 (Taxa removed from filtered datasets at each level) 37 References: 43 Core Contacts: Helen E. Raybould, Ph.D., Core Leader ([email protected]) Trina A. Knotts, Ph.D., Core Co-Leader ([email protected]) Michael L. Goodson, Ph.D., Core Scientist ([email protected]) Client(s): Kent Lloyd, DVM PhD ;MMRRC; UC Davis Project #: MBP-2079 MMRRC strain ID: MMRRC_043616 Animal Information: The strain was donated to the MMRRC by Kathleen Cho at University of Michigan Medical School. Fecal samples were obtained from animals housed under the care of Kathleen Cho at University of Michigan Medical School. 1 Methods: Brief Project Description: MMRRC strains are often contributed to the MMRRC to fulfill the resource sharing aspects of NIH grants. Since transporting mice to another facilty often causes a microbiota shift, having a record of the original fecal microbiota from the donor institution where the original phenotyping or testing was performed may prove helpful if a phenotype is lost after transfer. Several MMRRC mouse lines were selected for fecal microbiota profiling of the microbiota. Table 1: Animal-Strain Information X.SampleID TreatmentGroup Animal_ID Genotype Line Sex MMRRC.043616.M12421 MMRRC.043616_Tg.plus_M M12421 Tg.plus MMRRC.043616 M MMRRC.043616.M12422 MMRRC.043616_Tg.plus_M M12422 Tg.plus MMRRC.043616 M 1 1.1 Sequencing Frozen fecal or regional gut samples were shipped on dry ice to UC Davis MMPC and Host Microbe Systems Biology Core.