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Consumption of Acidic Water Alters the Gut Microbiome and Decreases the Risk of Diabetes in NOD Mice
Abstract
Infant formula and breastfeeding are environmental factors that influence the incidence of Type 1 Diabetes (T1D) as well as the acidity of newborn diets. To determine if altering the intestinal microbiome is one mechanism through which an acidic liquid plays a role in T1D, we placed non-obese diabetic (NOD)/ShiLtJt mice on neutral (N) or acidified H 2 O and monitored the impact on microbial composition and diabetes incidence. NOD-N mice showed an increased development of diabetes, while exhibiting a decrease in Firmicutes and an increase in Bacteroidetes, Actinobacteria, and Proteobacteria from as early as 2 weeks of age. NOD-N mice had a decrease in the levels of Foxp3 expression in CD4 + Foxp3 + cells, as well as decreased CD4 + IL17 + cells, and a lower ratio of IL17/IFNγ CD4+ T-cells. Our data clearly indicates that a change in the acidity of liquids consumed dramatically alters the intestinal microbiome, the presence of protective Th17 and Treg cells, and the incidence of diabetes. This data suggests that early dietary manipulation of intestinal microbiota may be a novel mechanism to delay T1D onset in genetically pre-disposed individuals.
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“In this regard, experiments in mice have shown that the composition of tap water can be related with changes in the gut microbiome [47] and have an incidence in the progression of diseases such as diabetes [48].”
From Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition (2018) · cites this paper as [48]
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Induction of Colonic Regulatory T Cells by Indigenous Clostridium Species
Atarashi, K., Tanoue, T., Shima, T., Imaoka, A., Kuwahara, T., Momose, Y., Cheng, G., Yamasaki, S., Saito, T., Ohba, Y., et al. (2011) · Science · doi:10.1126/science.1198469 · Cited by 3,752
Dowd, S. E., Callaway, T. R., Wolcott, R. D., Sun, Y., McKeehan, T., Hagevoort, R. G., & Edrington, T. S. (2008) · BMC Microbiology · doi:10.1186/1471-2180-8-125 · Cited by 1,121 · cited 1×
“Pyrosequencing was performed on genomic DNA samples using the bacterial tag-encoded GS FLX-Titanium amplicon with primers 28f (5’-GAGTTTGATCNTGGCTCAG-3’) and 519r (5’-GTNTTACNGCGGCKGCTG-3’) (Dowd et al. 2008).”
MethodBrown, C. T., Davis-Richardson, A. G., Giongo, A., Gano, K. A., Crabb, D. B., Mukherjee, N., Casella, G., Drew, J. C., Ilonen, J., Knip, M., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025792 · Cited by 778
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Research works printed but not linked: 48
- 10.1007/s00125-012-2672-4 · DOI
- 10.1128/IAI.01432-07 · DOI
- 10.1016/j.coi.2011.10.002 · DOI
- 10.4049/jimmunol.0900576 · DOI
- 10.1017/S0007114508094658 · DOI · Paper page
- 10.3390/nu4081095 · DOI
- 10.4049/jimmunol.1200955 · DOI
- 10.1038/nmeth.f.303 · DOI · Paper page
- 10.1111/j.1365-2249.2005.02942.x · DOI
- 10.1084/jem.139.5.1189 · DOI
- 10.4049/jimmunol.182.1.148 · DOI
- 10.1111/j.1467-789X.2010.00845.x · DOI
- Dimmitt RA, 2010, J Pediatr Gastroenterol Nutr, 51, 262, 10.1097/MPG.0b013e3181e1a114 · DOI
- 10.2337/diabetes.53.2.366 · DOI
- 10.1093/bioinformatics/btr381 · DOI · Paper page
- 10.2337/db08-1113 · DOI
- 10.2337/db11-0090 · DOI
- 10.1038/ismej.2010.92 · DOI · Paper page
- 10.3389/fcimb.2012.00094 · DOI
- Hall JE, 1980, Lab Anim Sci, 30, 643
- 10.1016/j.clim.2012.12.001 · DOI
- Hermann LM, 1982, Lab Anim Sci, 32, 603
- 10.1016/j.cell.2009.09.033 · DOI · Paper page
- 10.1073/pnas.1108924108 · DOI
- 10.4049/jimmunol.1001864 · DOI
- 10.1038/ni.2416 · DOI · Paper page
- Leiter E, 1997, Current Protocols in Immunology
- 10.4049/jimmunol.1001860 · DOI
- 10.1111/j.1600-065X.2011.01084.x · DOI
- 10.2337/diab.37.12.1625 · DOI · Paper page
- 10.1046/j.1462-5822.2001.00090.x · DOI · Paper page
- 10.1016/j.ecl.2010.05.008 · DOI
- 10.4049/jimmunol.0902822 · DOI
- 10.1097/00005176-199210000-00004 · DOI
- 10.1016/j.it.2012.02.008 · DOI
- 10.1111/j.1753-4887.2012.00513.x · DOI
- 10.1038/ismej.2009.5 · DOI
- 10.1128/AEM.01541-09 · DOI
- 10.1369/0022155411416242 · DOI
- 10.1097/00005176-200403000-00012 · DOI
- 10.1002/dmrr.945 · DOI
- 10.1038/mi.2012.73 · DOI
- 10.3945/jn.112.166231 · DOI
- 10.1073/pnas.0509006102 · DOI
- 10.1084/jem.20120504 · DOI · Paper page
- 10.2337/db08-0331 · DOI
- 10.1371/journal.pone.0010507 · DOI
- 10.4049/jimmunol.1000462 · DOI · Paper page
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Willis, J. R., González-Torres, P., Pittis, A. A., Bejarano, L. A., Cozzuto, L., Andreu-Somavilla, N., Alloza-Trabado, M., Valentín, A., Ksiezopolska, E., Company, C., et al. (2018) · Microbiome · doi:10.1186/s40168-018-0592-3 · Cited by 158
Klurfeld, D. M., Davis, C. D., Karp, R. W., Allen-Vercoe, E., Chang, E. B., Chassaing, B., Fahey, G. C., Hamaker, B. R., Holscher, H. D., Lampe, J. W., et al. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00058.2018 · Cited by 61
Training Rats Using Water Rewards Without Water Restriction
Reinagel, P. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00084 · Cited by 35
Metadata
- Authors
- Wolf, K. J., Daft, J. G., Tanner, S. M., Hartmann, R., Khafipour, E., & Lorenz, R. G.
- Venue
- Journal of Histochemistry & Cytochemistry
- Publisher
- SAGE Publications
- Published
- 2014-01-22
- Volume
- 62
- Issue
- 4
- Pages
- 237-250
- ISSN
- 0022-1554
- 1551-5044
- PMC
- PMC3966285
- Cited by
- 76
- References
- 3
- Language
- en
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