The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
An Integrated Understanding of the Rapid Metabolic Benefits of a Carbohydrate-Restricted Diet on Hepatic Steatosis in Humans
Open accessAbstract
SUMMARY A carbohydrate-restricted diet is a widely recommended intervention for non-alcoholic fatty liver disease (NAFLD), but a systematic perspective on the multiple benefits of this diet is lacking. Here, we performed a short-term intervention with an isocaloric low-carbohydrate diet with increased protein content in obese subjects with NAFLD and characterized the resulting alterations in metabolism and the gut microbiota using a multi-omics approach. We observed rapid and dramatic reductions of liver fat and other cardiometabolic risk factors paralleled by (1) marked decreases in hepatic de novo lipogenesis; (2) large increases in serum β-hydroxybutyrate concentrations, reflecting increased mitochondrial β-oxidation; and (3) rapid increases in folate-producing Streptococcus and serum folate concentrations. Liver transcriptomic analysis on biopsy samples from a second cohort revealed downregulation of the fatty acid synthesis pathway and upregulation of folate-mediated one-carbon metabolism and fatty acid oxidation pathways. Our results highlight the potential of exploring diet-microbiota interactions for treating NAFLD.
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
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
Near-optimal probabilistic RNA-seq quantification
Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016) · Nature Biotechnology · doi:10.1038/nbt.3519 · Cited by 9,723
Gene ontology analysis for RNA-seq: accounting for selection bias
Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-2-r14 · Cited by 7,107
Donnelly, K. L., Smith, C. I., Schwarzenberg, S. J., Jessurun, J., Boldt, M. D., & Parks, E. J. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23621 · Cited by 3,604
One-Carbon Metabolism in Health and Disease
Ducker, G. S., & Rabinowitz, J. D. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.009 · Cited by 2,239
A Randomized Trial of a Low-Carbohydrate Diet for Obesity
Foster, G. D., Wyatt, H. R., Hill, J. O., McGuckin, B. G., Brill, C., Mohammed, B. S., Szapary, P. O., Rader, D. J., Edman, J. S., & Klein, S. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022207 · Cited by 1,794
Badman, M. K., Pissios, P., Kennedy, A. R., Koukos, G., Flier, J. S., & Maratos-Flier, E. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.05.002 · Cited by 1,495
Cited by
The impact of dietary fiber on gut microbiota in host health and disease
Makki, K., Deehan, E. C., Walter, J., & Bäckhed, F. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.05.012 · Cited by 2,517
Self-citationThe intestinal microbiota fuelling metabolic inflammation
Tilg, H., Zmora, N., Adolph, T. E., & Elinav, E. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0198-4 · Cited by 1,089
You Are What You Eat—The Relationship between Diet, Microbiota, and Metabolic Disorders—A Review
Moszak, M., Szulińska, M., & Bogdański, P. (2020) · Nutrients · doi:10.3390/nu12041096 · Cited by 397
Dietary carbohydrates and fats in nonalcoholic fatty liver disease
Yki-Järvinen, H., Luukkonen, P. K., Hodson, L., & Moore, J. B. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00472-y · Cited by 294
Causes and consequences of hypertriglyceridemia
Packard, C. J., Boren, J., & Taskinen, M.-R. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00252 · Cited by 239
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Metadata
- Authors
- Mardinoglu, A., Wu, H., Bjornson, E., Zhang, C., Hakkarainen, A., Räsänen, S. M., Lee, S., Mancina, R. M., Bergentall, M., Pietiläinen, K. H., Söderlund, S., Matikainen, N., Ståhlman, M., Bergh, P.-O., Adiels, M., Piening, B. D., Granér, M., Lundbom, N., Williams, K. J., Romeo, S., Nielsen, J., Snyder, M., Uhlén, M., Bergström, G., Perkins, R., Marschall, H.-U., Bäckhed, F., Taskinen, M.-R., & Borén, J.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 27
- Issue
- 3
- Pages
- 559-571.e5
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2788488000
- Cited by
- 453
- References
- 23
- FWCI
- 32.22
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Mardinoglu, A., Wu, H., Bjornson, E., Zhang, C., Hakkarainen, A., Räsänen, S. M., Lee, S., Mancina, R. M., Bergentall, M., Pietiläinen, K. H., Söderlund, S., Matikainen, N., Ståhlman, M., Bergh, P.-O., Adiels, M., Piening, B. D., Granér, M., Lundbom, N., Williams, K. J., . . . Borén, J. (2018). An Integrated Understanding of the Rapid Metabolic Benefits of a Carbohydrate-Restricted Diet on Hepatic Steatosis in Humans. Cell Metabolism. https://doi.org/10.1016/j.cmet.2018.01.005
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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.
