The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
Microbiome as a therapeutic target in alcohol-related liver disease
Abstract
Alcohol-related liver disease is associated with significant changes in gut microbial composition. The transmissibility of ethanol-induced liver disease has been demonstrated using faecal microbiota transfer in preclinical models. This technique has also led to improved survival in patients with severe alcoholic hepatitis, suggesting that changes in the composition and function of the gut microbiota are causatively linked to alcohol-related liver disease. A major mechanism by which gut microbiota influence the development of alcohol-related liver disease is through a leaky intestinal barrier. This permits translocation of viable bacteria and microbial products to the liver, where they induce and promote inflammation, as well as contribute to hepatocyte death and the fibrotic response. In addition, gut dysbiosis is associated with changes in the metabolic function of the intestinal microbiota, bile acid composition and circulation, immune dysregulation during onset and progression of alcohol-related liver disease. Findings from preclinical and human studies will be used to demonstrate how alcohol causes intestinal pathology and contributes to alcohol-related liver disease and how the latter is self-perpetuating. Additionally, we summarise the effects of untargeted treatment approaches on the gut microbiota, such as diet, probiotics, antibiotics and faecal microbial transplantation in alcohol-related liver disease. We further discuss how targeted approaches can restore intestinal homeostasis and improve alcohol-related liver disease. These approaches are likely to add to the therapeutic options for alcohol-related liver disease independently or in conjunction with steroids.
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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
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548
Linking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513
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
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
Revised Estimates for the Number of Human and Bacteria Cells in the Body
Sender, R., Fuchs, S., & Milo, R. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002533 · Cited by 5,425
Sokol, H., Pigneur, B., Watterlot, L., Lakhdari, O., Bermúdez-Humarán, L. G., Gratadoux, J.-J., Blugeon, S., Bridonneau, C., Furet, J.-P., Corthier, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804812105 · Cited by 4,413
Indigenous bacteria from the gut microbiota regulate host serotonin biosynthesis
Yano, J. M., Yu, K., Donaldson, G. P., Shastri, G. G., Ann, P., Ma, L., Nagler, C. R., Ismagilov, R. F., Mazmanian, S. K., & Hsiao, E. Y. (2015) · Cell · doi:10.1016/j.cell.2015.02.047 · Cited by 3,614
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Huang, D. Q., Mathurin, P., Cortez-Pinto, H., & Loomba, R. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-022-00688-6 · Cited by 553
A randomized clinical trial of fecal microbiota transplant for alcohol use disorder
Bajaj, J. S., Gavis, E. A., Fagan, A., Wade, J. B., Thacker, L. R., Fuchs, M., Patel, S., Davis, B., Meador, J., Puri, P., et al. (2021) · Hepatology · doi:10.1002/hep.31496 · Cited by 262
Alcohol or gut microbiota: who is the guilty?
Meroni, M., Longo, M., & Dongiovanni, P. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184568 · Cited by 183
The NLRP3 inflammasome in alcoholic and nonalcoholic steatohepatitis
Knorr, J., Wree, A., Tacke, F., & Feldstein, A. E. (2020) · Seminars in Liver Disease · doi:10.1055/s-0040-1708540 · Cited by 99
Lee, J. S., O’Connell, E. M., Pacher, P., & Lohoff, F. W. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10081758 · Cited by 31
Metadata
- Authors
- Sarin, S. K., Pande, A., & Schnabl, B.
- Venue
- Journal of Hepatology
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 70
- Issue
- 2
- Pages
- 260-272
- ISSN
- 0168-8278 (ISSN-L)
- OpenAlex
- W2910227631
- Cited by
- 253
- References
- 130
- FWCI
- 9.67
- Type
- journal article
- Language
- en
- Open access
- closed
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