The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.
Small Intestine Microbiota Regulate Host Digestive and Absorptive Adaptive Responses to Dietary Lipids
Open accessAbstract
The gut microbiota play important roles in lipid metabolism and absorption. However, the contribution of the small bowel microbiota of mammals to these diet-microbe interactions remains unclear. We determine that germ-free (GF) mice are resistant to diet-induced obesity and malabsorb fat with specifically impaired lipid digestion and absorption within the small intestine. Small bowel microbes are essential for host adaptation to dietary lipid changes by regulating gut epithelial processes involved in their digestion and absorption. In addition, GF mice conventionalized with high-fat diet-induced jejunal microbiota exhibit increased lipid absorption even when fed a low-fat diet. Conditioned media from specific bacterial strains directly upregulate lipid absorption genes in murine proximal small intestinal epithelial organoids. These findings indicate that proximal gut microbiota play key roles in host adaptability to dietary lipid variations through mechanisms involving both the digestive and absorptive phases and that these functions may contribute to conditions of over- and undernutrition.
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
Cleavage of Structural Proteins during the Assembly of the Head of Bacteriophage T4
LAEMMLI, U. K. (1970) · Nature · doi:10.1038/227680a0 · Cited by 249,961
A SIMPLE METHOD FOR THE ISOLATION AND PURIFICATION OF TOTAL LIPIDES FROM ANIMAL TISSUES
Folch, J., Lees, M., & Stanley, G. H. S. (1957) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)64849-5 · Cited by 65,189
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche
Sato, T., Vries, R. G., Snippert, H. J., van de Wetering, M., Barker, N., Stange, D. E., van Es, J. H., Abo, A., Kujala, P., Peters, P. J., et al. (2009) · Nature · doi:10.1038/nature07935 · Cited by 7,204
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058
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
Gut biogeography of the bacterial microbiota
Donaldson, G. P., Lee, S. M., & Mazmanian, S. K. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro3552 · Cited by 2,535
Dietary-fat-induced taurocholic acid promotes pathobiont expansion and colitis in Il10-/- mice
Devkota, S., Wang, Y., Musch, M. W., Leone, V., Fehlner-Peach, H., Nadimpalli, A., Antonopoulos, D. A., Jabri, B., & Chang, E. B. (2012) · Nature · doi:10.1038/nature11225 · Cited by 1,904
Anvi’o: an advanced analysis and visualization platform for ‘omics data
Eren, A. M., Esen, Ö. C., Quince, C., Vineis, J. H., Morrison, H. G., Sogin, M. L., & Delmont, T. O. (2015) · PeerJ · doi:10.7717/peerj.1319 · Cited by 1,869
Thematic review series: Glycerolipids. DGAT enzymes and triacylglycerol biosynthesis
Yen, C.-L. E., Stone, S. J., Koliwad, S., Harris, C., & Farese, R. V. (2008) · Journal of Lipid Research · doi:10.1194/jlr.r800018-jlr200 · Cited by 1,105
Diet dominates host genotype in shaping the murine gut microbiota
Carmody, R. N., Gerber, G. K., Luevano, J. M., Gatti, D. M., Somes, L., Svenson, K. L., & Turnbaugh, P. J. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2014.11.010 · Cited by 1,103
Exploring Microbial Diversity and Taxonomy Using SSU rRNA Hypervariable Tag Sequencing
Huse, S. M., Dethlefsen, L., Huber, J. A., Welch, D. B. M., Relman, D. A., & Sogin, M. L. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000255 · Cited by 1,020
Leone, V., Gibbons, S. M., Martinez, K., Hutchison, A. L., Huang, E. Y., Cham, C. M., Pierre, J. F., Heneghan, A. F., Nadimpalli, A., Hubert, N., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.03.006 · Cited by 921
Self-citationMicrobiota Regulate Intestinal Absorption and Metabolism of Fatty Acids in the Zebrafish
Semova, I., Carten, J. D., Stombaugh, J., Mackey, L. C., Knight, R. D., Farber, S. A., & Rawls, J. F. (2012) · Cell Host & Microbe · doi:10.1016/j.chom.2012.08.003 · Cited by 901
Iqbal, J., & Hussain, M. M. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90899.2008 · Cited by 811
Louis, P., Young, P., Holtrop, G., & Flint, H. J. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.02066.x · Cited by 804
The Biology of Peroxisome Proliferator-Activated Receptors
Ferré, P. (2004) · Diabetes · doi:10.2337/diabetes.53.2007.s43 · Cited by 786
Oligotyping: differentiating between closely related microbial taxa using 16S rRNA gene data
Eren, A. M., Maignien, L., Sul, W. J., Murphy, L. G., Grim, S. L., Morrison, H. G., & Sogin, M. L. (2013) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12114 · Cited by 639
Lipopenia and Skin Barrier Abnormalities in DGAT2-deficient Mice
Stone, S. J., Myers, H. M., Watkins, S. M., Brown, B. E., Feingold, K. R., Elias, P. M., & Farese, R. V. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m311000200 · Cited by 612
Eren, A. M., Morrison, H. G., Lescault, P. J., Réveillaud, J., Vineis, J. H., & Sogin, M. L. (2014) · The ISME Journal · doi:10.1038/ismej.2014.195 · Cited by 611
Rabot, S., Membrez, M., Bruneau, A., Gérard, P., Harach, T., Moser, M., Raymond, F., Mansourian, R., & Chou, C. J. (2010) · The FASEB Journal · doi:10.1096/fj.10.164921 · Cited by 610
Wang, Y., Hoenig, J. D., Malin, K. J., Qamar, S., Petrof, E. O., Sun, J., Antonopoulos, D. A., Chang, E. B., & Claud, E. C. (2009) · The ISME Journal · doi:10.1038/ismej.2009.37 · Cited by 600
Self-citationGe, H., Li, X., Weiszmann, J., Wang, P., Baribault, H., Chen, J., Tian, H., & Li, Y. (2008) · Endocrinology · doi:10.1210/en.2008-0059 · Cited by 503
A Filtering Method to Generate High Quality Short Reads Using Illumina Paired-End Technology
Eren, A. M., Vineis, J. H., Morrison, H. G., & Sogin, M. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066643 · Cited by 350
Biogeography of the intestinal mucosal and lumenal microbiome in the rhesus macaque
Yasuda, K., Oh, K., Ren, B., Tickle, T. L., Franzosa, E. A., Wachtman, L. M., Miller, A. D., Westmoreland, S. V., Mansfield, K. G., Vallender, E. J., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.01.015 · Cited by 298
CD36 deficiency impairs intestinal lipid secretion and clearance of chylomicrons from the blood
Drover, V. A. B., Ajmal, M., Nassir, F., Davidson, N. O., Nauli, A. M., Sahoo, D., Tso, P., & Abumrad, N. A. (2005) · Journal of Clinical Investigation · doi:10.1172/jci21514 · Cited by 283
Fatty acid composition of edible oils and fats
Kostik, V., Memeti, S., & Bauer, B. (2013) · Goce Delchev University Repository (Goce Delčev University of Štip) · Cited by 272
In, J., Foulke-Abel, J., Zachos, N. C., Hansen, A.-M., Kaper, J. B., Bernstein, H. D., Halushka, M., Blutt, S., Estes, M. K., Donowitz, M., et al. (2016) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2015.10.001 · Cited by 239
Clostridium ramosum Promotes High-Fat Diet-Induced Obesity in Gnotobiotic Mouse Models
Woting, A., Pfeiffer, N., Loh, G., Klaus, S., & Blaut, M. (2014) · mBio · doi:10.1128/mbio.01530-14 · Cited by 224
Yang, H., Huang, X., Fang, S., Xin, W., Huang, L., & Chen, C. (2016) · Scientific Reports · doi:10.1038/srep27427 · Cited by 180
A gene-targeted approach to investigate the intestinal butyrate-producing bacterialcommunity
Vital, M., Penton, C. R., Wang, Q., Young, V. B., Antonopoulos, D., Sogin, M. L., Morrison, H. G., Raffals, L. H., Chang, E. B., Huffnagle, G. B., et al. (2013) · Microbiome · doi:10.1186/2049-2618-1-8 · Cited by 165
Self-citationIntestinal triacylglycerol synthesis in fat absorption and systemic energy metabolism
Yen, C. E., Nelson, D. W., & Yen, M. (2014) · Journal of Lipid Research · doi:10.1194/jlr.r052902 · Cited by 164
Convergent Bacterial Microbiotas in the Fungal Agricultural Systems of Insects
Aylward, F. O., Suen, G., Biedermann, P. H. W., Adams, A. S., Scott, J. J., Malfatti, S., del Rio, T. G., Tringe, S. G., Poulsen, M., Raffa, K. F., et al. (2014) · mBio · doi:10.1128/mbio.02077-14 · Cited by 148
Aidy, S. E., Merrifield, C. A., Derrien, M., van Baarlen, P., Hooiveld, G. J. E. J., Levenez, F., Dore, J. M., Dekker, J. P., Holmes, E. C., Claus, S. P., et al. (2012) · Gut · doi:10.1136/gutjnl-2011-301955 · Cited by 141
Huang, E. Y., Leone, V. A., Devkota, S., Wang, Y., Brady, M. J., & Chang, E. B. (2013) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607113486931 · Cited by 133
Self-citationA Metagenomic Investigation of the Duodenal Microbiota Reveals Links with Obesity
Angelakis, E., Armougom, F., Carrière, F., Bachar, D., Laugier, R., Lagier, J., Robert, C., Michelle, C., Henrissat, B., & Raoult, D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137784 · Cited by 131
Setti-Perdigão, P., Serrano, M. A. R., Flausino, O., Bolzani, V. D. S., Guimarães, M. Z. P., & Castro, N. G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082726 · Cited by 125
Molecular mechanisms of cholesterol absorption and transport in the intestine
Hui, D. Y., & Howles, P. N. (2005) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2005.01.003 · Cited by 118
The modulatory role of high fat feeding on gastrointestinal signals in obesity
Duca, F. A., Sakar, Y., & Covașă, M. (2013) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2013.05.005 · Cited by 112
Howe, A., Ringus, D. L., Williams, R. J., Choo, Z.-N., Greenwald, S. M., Owens, S. M., Coleman, M. L., Meyer, F., & Chang, E. B. (2015) · The ISME Journal · doi:10.1038/ismej.2015.183 · Cited by 98
Self-citationSun, W. Y., Lo, C., & Tso, P. (2008) · Textbook of Gastroenterology · doi:10.1002/9781444303254.ch18 · Cited by 96
Pannacciulli, N., Bunt, J. C., Koška, J., Bogardus, C., & Krakoff, J. A. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.3.556 · Cited by 85
Hung, Y.-H., Carreiro, A. L., & Buhman, K. K. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2017.02.014 · Cited by 84
Sato, H., Zhang, L. S., Martinez, K., Chang, E. B., Yang, Q., Wang, F., Howles, P. N., Hokari, R., Miura, S., & Tso, P. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.07.009 · Cited by 75
Self-citationCattò, C., Dell’Orto, S., Villa, F., Villa, S., Gelain, A., Vitali, A., Marzano, V., Baroni, S., Forlani, F., & Cappitelli, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131519 · Cited by 60
Eren, A. M., Vineis, J. H., Morrison, H. G., & Sogin, M. L. (2013) · PLoS ONE · doi:10.1371/annotation/afa5c40d-c604-46ae-84c4-82cb92193a5e · Cited by 54
The role of ghrelin in metabolic regulation
Pinkney, J. H. (2014) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000101 · Cited by 39
Wong, Y. M., Juan, J. C., Gan, H. M., & Austin, C. M. (2014) · Genome Announcements · doi:10.1128/genomea.00064-14 · Cited by 23
Sontag, T. J., Chellan, B., Getz, G. S., & Reardon, C. A. (2013) · Journal of Lipid Research · doi:10.1194/jlr.m040055 · Cited by 20
Self-citationOleic acid uptake by jejunal and ileal rat brush border membrane vesicles.
Prieto, R., Stremmel, W., Sales, C., & Tur, J. A. (1996) · PubMed · Cited by 8
Cited by
Sorted by citations
Fecal microbiota transplant overcomes resistance to anti–PD-1 therapy in melanoma patients
Davar, D., Dzutsev, A. K., McCulloch, J. A., Rodrigues, R. R., Chauvin, J.-M., Morrison, R. M., Deblasio, R. N., Menna, C., Ding, Q., Pagliano, O., et al. (2021) · Science · doi:10.1126/science.abf3363 · Cited by 1,781
Oliphant, K., & Allen-Vercoe, E. (2019) · Microbiome · doi:10.1186/s40168-019-0704-8 · Cited by 1,327
The gut microbiota at the intersection of diet and human health
Gentile, C. L., & Weir, T. L. (2018) · Science · doi:10.1126/science.aau5812 · Cited by 1,049
Gut Microbiota and Short Chain Fatty Acids: Implications in Glucose Homeostasis
Portincasa, P., Bonfrate, L., Vacca, M., Angelis, M. D., Farella, I., Lanza, E., Khalil, M., Wang, D. Q. ‐., Sperandio, M., & Ciaula, A. D. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031105 · Cited by 1,053
“Notably, the bioavailability of substrates into the intestinal lumen drives the shape and the activity of gut microbes harboring or suppressing the presence of specific bacterial patterns at equilibrium with the resulting metabolites [12,13].”
BackgroundGut-liver axis: Pathophysiological concepts and clinical implications
Tilg, H., Adolph, T. E., & Trauner, M. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.09.017 · Cited by 843
Metadata
- Authors
- Martinez-Guryn, K., Hubert, N., Frazier, K., Urlass, S., Musch, M. W., Ojeda, P., Pierre, J. F., Miyoshi, J., Sontag, T. J., Cham, C. M., Reardon, C. A., Leone, V., & Chang, E. B.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Chang, Eugene B.
- ORCID
- Venue
- Cell Host & Microbe
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 23
- Issue
- 4
- Pages
- 458-469.e5
- ISSN
- 1931-3128 (ISSN-L)
- PMC
- PMC5912695
- OpenAlex
- W2796527107
- Cited by
- 663
- References
- 53
- Citations by year
- 2026: 54 · 2025: 85 · 2024: 101 · 2023: 98 · 2022: 88 · 2021: 93 · 2020: 82 · 2019: 43 · 2018: 18
- FWCI
- 21.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Host & Microbe (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (DK42086)
- Digestive Diseases Research Core Center, University of Chicago (DK097268, T32DK007074)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Keywords
- small intestinal microbiota, dietary fat absorption, lipid digestion, germ-free mice, diet-induced obesity, fat malabsorption, high-fat diet, jejunal microbiota, overnutrition, malnutrition
- MeSH terms
- Gastrointestinal Microbiome, Animals, Diet, Intestine, Small, Lipid Metabolism, Mice
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