The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Diet-Induced Metabolic Improvements in a Hamster Model of Hypercholesterolemia Are Strongly Linked to Alterations of the Gut Microbiota
Open accessAbstract
The mammalian gastrointestinal microbiota exerts a strong influence on host lipid and cholesterol metabolism. In this study, we have characterized the interplay among diet, gut microbial ecology, and cholesterol metabolism in a hamster model of hypercholesterolemia. Previous work in this model had shown that grain sorghum lipid extract (GSL) included in the diet significantly improved the high-density lipoprotein (HDL)/non-HDL cholesterol equilibrium (T. P. Carr, C. L. Weller, V. L. Schlegel, S. L. Cuppett, D. M. Guderian, Jr., and K. R. Johnson, J. Nutr. 135: 2236-2240, 2005). Molecular analysis of the hamsters' fecal bacterial populations by pyrosequencing of 16S rRNA tags, PCR-denaturing gradient gel electrophoresis, and Bifidobacterium -specific quantitative real-time PCR revealed that the improvements in cholesterol homeostasis induced through feeding the hamsters GSL were strongly associated with alterations of the gut microbiota. Bifidobacteria, which significantly increased in abundance in hamsters fed GSL, showed a strong positive association with HDL plasma cholesterol levels ( r = 0.75; P = 0.001). The proportion of members of the family Coriobacteriaceae decreased when the hamsters were fed GSL and showed a high positive association with non-HDL plasma cholesterol levels ( r = 0.84; P = 0.0002). These correlations were more significant than those between daily GSL intake and animal metabolic markers, implying that the dietary effects on host cholesterol metabolism are conferred, at least in part, through an effect on the gut microbiota. This study provides evidence that modulation of the gut microbiota-host metabolic interrelationship by dietary intervention has the potential to improve mammalian cholesterol homeostasis, which has relevance for cardiovascular health.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine
Ley, R. E., Peterson, D. A., & Gordon, J. I. (2006) · Cell · doi:10.1016/j.cell.2006.02.017 · Cited by 3,358
Development of the Human Infant Intestinal Microbiota
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., & Brown, P. O. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050177 · Cited by 2,877
Bile salt biotransformations by human intestinal bacteria
Ridlon, J. M., Kang, D.-J., & Hylemon, P. B. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r500013-jlr200 · Cited by 2,829
Mechanisms underlying the resistance to diet-induced obesity in germ-free mice
Bäckhed, F., Manchester, J. K., Semenkovich, C. F., & Gordon, J. I. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605374104 · Cited by 2,615
Innate immunity and intestinal microbiota in the development of Type 1 diabetes
Wen, L., Ley, R. E., Volchkov, P. Y., Stranges, P. B., Avanesyan, L., Stonebraker, A. C., Hu, C., Wong, F. S., Szot, G. L., Bluestone, J. A., et al. (2008) · Nature · doi:10.1038/nature07336 · Cited by 1,921
Human metabolic phenotype diversity and its association with diet and blood pressure
Holmes, E., Loo, R. L., Stamler, J., Bictash, M., Yap, I. K. S., Chan, Q., Ebbels, T., De Iorio, M., Brown, I. J., Veselkov, K. A., et al. (2008) · Nature · doi:10.1038/nature06882 · Cited by 1,054
Gut microorganisms, mammalian metabolism and personalized health care
Nicholson, J. K., Holmes, E., & Wilson, I. D. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1152 · Cited by 945
Cited by
Cox, L. M., Yamanishi, S., Sohn, J., Alekseyenko, A. V., Leung, J. M., Cho, I., Kim, S. G., Li, H., Gao, Z., Mahana, D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.05.052 · Cited by 1,859
Benson, A. K., Kelly, S. A., Legge, R., Ma, F., Low, S. J., Kim, J., Zhang, M., Oh, P. L., Nehrenberg, D., Hua, K., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007028107 · Cited by 1,314
Self-citationCharacterization of the gut microbiome using 16S or shotgun metagenomics
Jovel, J., Patterson, J., Wang, W., Hotte, N., O'Keefe, S., Mitchel, T., Perry, T., Kao, D., Mason, A. L., Madsen, K. L., et al. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00459 · Cited by 942
Bile Acid Is a Host Factor That Regulates the Composition of the Cecal Microbiota in Rats
Islam, K. B. M. S., Fukiya, S., Hagio, M., Fujii, N., Ishizuka, S., Ooka, T., Ogura, Y., Hayashi, T., & Yokota, A. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.07.046 · Cited by 918
Cani, P. D., Osto, M., Geurts, L., & Everard, A. (2012) · Gut Microbes · doi:10.4161/gmic.19625 · Cited by 864
The composition of the gut microbiota shapes the colon mucus barrier
Jakobsson, H. E., Rodríguez‐Piñeiro, A. M., Schütte, A., Ermund, A., Boysen, P., Bemark, M., Sommer, F., Bäckhed, F., Hansson, G. C., & Johansson, M. E. (2015) · The EMBO Reports · doi:10.15252/embr.201439263 · Cited by 700
“Our study corroborates previous studies showing an association between altered diets and an increase in Erysipelotrichi and Allobaculum, but various effects are shown for fat-enriched diets [29–32].”
Insights into the Role of Erysipelotrichaceae in the Human Host
Kaakoush, N. O. (2015) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2015.00084 · Cited by 721
Martínez, I., Kim, J., Duffy, P. R., Schlegel, V. L., & Walter, J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015046 · Cited by 645
Self-citationMartínez, I., Stegen, J. C., Maldonado-Gómez, M. X., Eren, A. M., Siba, P. M., Greenhill, A. R., & Walter, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.049 · Cited by 576
Self-citationUnderstanding the role of gut microbiome–host metabolic signal disruption in health and disease
Holmes, E., Li, J. V., Athanasiou, T., Ashrafian, H., & Nicholson, J. K. (2011) · Trends in Microbiology · doi:10.1016/j.tim.2011.05.006 · Cited by 541
Neyrinck, A. M., Possemiers, S., Druart, C., Van de Wiele, T., De Backer, F., Cani, P. D., Larondelle, Y., & Delzenne, N. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020944 · Cited by 465
Responses of gut microbiota to diet composition and weight loss in lean and obese mice
Ravussin, Y., Koren, O., Spor, A., LeDuc, C., Gutman, R., Stombaugh, J., Knight, R., Ley, R. E., & Leibel, R. L. (2012) · Obesity · doi:10.1038/oby.2011.111 · Cited by 406
Colonization-induced host-gut microbial metabolic interaction
Claus, S. P., Ellero, S. L., Berger, B., Krause, L., Bruttin, A., Molina, J., Paris, A., Want, E. J., de Waziers, I., Cloarec, O., et al. (2011) · mBio · doi:10.1128/mbio.00271-10 · Cited by 414
Krumbeck, J. A., Rasmussen, H. E., Hutkins, R. W., Clarke, J., Shawron, K., Keshavarzian, A., & Walter, J. (2018) · Microbiome · doi:10.1186/s40168-018-0494-4 · Cited by 342
Self-citationBenedict, C., Vogel, H., Jonas, W., Woting, A., Blaut, M., Schürmann, A., & Cedernaes, J. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.10.003 · Cited by 324
Bangsgaard Bendtsen, K. M., Krych, L., Sørensen, D. B., Pang, W., Nielsen, D. S., Josefsen, K., Hansen, L. H., Sørensen, S. J., & Hansen, A. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046231 · Cited by 299
Gomez-Arango, L. F., Barrett, H. L., McIntyre, H. D., Callaway, L. K., Morrison, M., & Dekker Nitert, M. (2016) · Diabetes · doi:10.2337/db16-0278 · Cited by 287
Hooda, S., Boler, B. M. V., Serao, M. C. R., Brulc, J. M., Staeger, M. A., Boileau, T. W., Dowd, S. E., Fahey, G. C., & Swanson, K. S. (2012) · The Journal of Nutrition · doi:10.3945/jn.112.158766 · Cited by 272
Probiotics modulate gut microbiota and improve insulin sensitivity in DIO mice
Bagarolli, R. A., Tobar, N., Oliveira, A. G., Araújo, T. G., Carvalho, B. M., Rocha, G. Z., Vecina, J. F., Calisto, K., Guadagnini, D., Prada, P. O., et al. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.08.006 · Cited by 266
Microbial impact on cholesterol and bile acid metabolism: current status and future prospects
Kriaa, A., Bourgin, M., Potiron, A., Mkaouar, H., Jablaoui, A., Gérard, P., Maguin, E., & Rhimi, M. (2019) · Journal of Lipid Research · doi:10.1194/jlr.r088989 · Cited by 264
Martínez, I., Perdicaro, D. J., Brown, A. W., Hammons, S., Carden, T. J., Carr, T. P., Eskridge, K. M., & Walter, J. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.03046-12 · Cited by 215
Self-citationSite and Strain-Specific Variation in Gut Microbiota Profiles and Metabolism in Experimental Mice
Friswell, M. K., Gika, H., Stratford, I. J., Theodoridis, G., Telfer, B., Wilson, I. D., & McBain, A. J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008584 · Cited by 207
Martínez, I., Maldonado-Gomez, M. X., Gomes-Neto, J. C., Kittana, H., Ding, H., Schmaltz, R., Joglekar, P., Cardona, R. J., Marsteller, N. L., Kembel, S. W., et al. (2018) · eLife · doi:10.7554/elife.36521 · Cited by 199
Self-citationMörkl, S., Lackner, S., Müller, W., Gorkiewicz, G., Kashofer, K., Oberascher, A., Painold, A., Holl, A., Holzer, P., Meinitzer, A., et al. (2017) · International Journal of Eating Disorders · doi:10.1002/eat.22801 · Cited by 181
Ma, J., Hong, Y., Zheng, N., Xie, G., Lyu, Y., Gu, Y., Xi, C., Chen, L., Wu, G., Li, Y., et al. (2020) · Gut Microbes · doi:10.1080/19490976.2020.1763770 · Cited by 171
Martínez, I., Muller, C. E., & Walter, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069621 · Cited by 181
Self-citationSoy and Gut Microbiota: Interaction and Implication for Human Health
Huang, H., Krishnan, H. B., Pham, Q., Yu, L. L., & Wang, T. T. Y. (2016) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.6b03725 · Cited by 138
Beneficial effects of mangiferin on hyperlipidemia in high-fat-fed hamsters
Guo, F., Huang, C., Liao, X., Wang, Y., He, Y., Feng, R., Li, Y., & Sun, C. (2011) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201100392 · Cited by 118
Butteiger, D. N., Hibberd, A. A., McGraw, N. J., Napawan, N., Hall-Porter, J. M., & Krul, E. S. (2016) · The Journal of Nutrition · doi:10.3945/jn.115.224196 · Cited by 116
Monteagudo-Mera, A., Arthur, J. C., Jobin, C., Keku, T., Bruno-Barcena, J. M., & Azcarate-Peril, M. A. (2016) · Beneficial Microbes · doi:10.3920/bm2015.0114 · Cited by 112
Time to include the gut microbiota in the hygienic standardisation of laboratory rodents
Bleich, A., & Hansen, A. K. (2012) · Comparative Immunology, Microbiology and Infectious Diseases · doi:10.1016/j.cimid.2011.12.006 · Cited by 82
Fang, S., Xiong, X., Su, Y., Huang, L., & Chen, C. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1055-x · Cited by 80
Patrone, V., Minuti, A., Lizier, M., Miragoli, F., Lucchini, F., Trevisi, E., Rossi, F., & Callegari, M. L. (2018) · BMC Genomics · doi:10.1186/s12864-018-5202-z · Cited by 47
Metadata
- Authors
- Martínez, I., Wallace, G., Zhang, C., Legge, R., Benson, A. K., Carr, T. P., Moriyama, E. N., & Walter, J.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2009-06-15
- Volume
- 75
- Issue
- 12
- Pages
- 4175-4184
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2097116634
- Cited by
- 355
- References
- 11
- FWCI
- 5.88
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.