Microbiome-based therapeutics
Abstract
Symbiotic microorganisms inhabiting the gastrointestinal tract promote health by decreasing susceptibility to infection and enhancing resistance to a range of diseases. In this Review, we discuss our increasing understanding of the impact of the microbiome on the mammalian host and recent efforts to culture and characterize intestinal symbiotic microorganisms that produce or modify metabolites that impact disease pathology. Manipulation of the intestinal microbiome has great potential to reduce the incidence and/or severity of a wide range of human conditions and diseases, and the biomedical research community now faces the challenge of translating our understanding of the microbiome into beneficial medical therapies. Our increasing understanding of symbiotic microbial species and the application of ecological principles and machine learning are providing exciting opportunities for microbiome-based therapeutics to progress from faecal microbiota transplantation to the administration of precisely defined and clinically validated symbiotic microbial consortia that optimize disease resistance.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
It is difficult to predict and control the outcomes of microbiome manipulation by prebiotics because they affect the growth and activities of multiple microbial species.
“On the other hand, it is difficult to predict and control the outcomes of microbiome manipulation by prebiotics, as they affect the growth and activities of multiple microbial species.728,741”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [728]
FMT is most commonly applied in the management of Clostridioides difficile infection and inflammatory bowel disease.
“FMT is most commonly applied in the management of Clostridioides difficile infection and inflammatory bowel disease.728”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [728]
Cites
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 · see citing works
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671 · see citing works
Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells
Furusawa, Y., Obata, Y., Fukuda, S., Endo, T. A., Nakato, G., Takahashi, D., Nakanishi, Y., Uetake, C., Kato, K., Kato, T., et al. (2013) · Nature · doi:10.1038/nature12721 · Cited by 5,549 · see citing works
Smith, P. M., Howitt, M. R., Panikov, N., Michaud, M., Gallini, C. A., Bohlooly-Y, M., Glickman, J. N., & Garrett, W. S. (2013) · Science · doi:10.1126/science.1241165 · Cited by 5,413 · see citing works
Role of the microbiota in immunity and inflammation.
Belkaid, Y., & Hand, T. W. (2014) · Cell · doi:10.1016/j.cell.2014.03.011 · Cited by 5,385 · see citing works
Metabolites produced by commensal bacteria promote peripheral regulatory T-cell generation
Arpaia, N., Campbell, C., Fan, X., Dikiy, S., van der Veeken, J., deRoos, P., Liu, H., Cross, J. R., Pfeffer, K., Coffer, P. J., et al. (2013) · Nature · doi:10.1038/nature12726 · Cited by 4,838 · see citing works
Commensal <i>Bifidobacterium</i> promotes antitumor immunity and facilitates anti–PD-L1 efficacy
Sivan, A., Corrales, L., Hubert, N., Williams, J. B., Aquino-Michaels, K., Earley, Z. M., Benyamin, F. W., Man Lei, Y., Jabri, B., Alegre, M.-L., et al. (2015) · Science · doi:10.1126/science.aac4255 · Cited by 3,888 · see citing works
Induction of Colonic Regulatory T Cells by Indigenous <i>Clostridium</i> 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 · see citing works
The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients
Matson, V., Fessler, J., Bao, R., Chongsuwat, T., Zha, Y., Alegre, M.-L., Luke, J. J., & Gajewski, T. F. (2018) · Science · doi:10.1126/science.aao3290 · Cited by 3,107 · see citing works
Zelante, T., Iannitti, R. G., Cunha, C., De Luca, A., Giovannini, G., Pieraccini, G., Zecchi, R., D’Angelo, C., Massi-Benedetti, C., Fallarino, F., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.08.003 · Cited by 2,614 · see citing works
Plovier, H., Everard, A., Druart, C., Depommier, C., Van Hul, M., Geurts, L., Chilloux, J., Ottman, N., Duparc, T., Lichtenstein, L., et al. (2017) · Nature Medicine · doi:10.1038/nm.4236 · Cited by 2,204 · see citing works
The microbiome and butyrate regulate energy metabolism and autophagy in the mammalian colon
Donohoe, D. R., Garge, N., Zhang, X., Sun, W., O'Connell, T. M., Bunger, M. K., & Bultman, S. J. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.02.018 · Cited by 2,003 · see citing works
Bile acid metabolites control TH17 and Treg cell differentiation
Hang, S., Paik, D., Yao, L., Kim, E., Trinath, J., Lu, J., Ha, S., Nelson, B. N., Kelly, S. P., Wu, L., et al. (2019) · Nature · doi:10.1038/s41586-019-1785-z · Cited by 1,457 · see citing works
Drug-Resistant <i>E. coli</i> Bacteremia Transmitted by Fecal Microbiota Transplant
DeFilipp, Z., Bloom, P. P., Torres Soto, M., Mansour, M. K., Sater, M. R. A., Huntley, M. H., Turbett, S., Chung, R. T., Chen, Y.-B., & Hohmann, E. L. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1910437 · Cited by 1,281 · see citing works
Paramsothy, S., Kamm, M. A., Kaakoush, N. O., Walsh, A. J., van den Bogaerde, J., Samuel, D., Leong, R. W. L., Connor, S., Ng, W., Paramsothy, R., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30182-4 · Cited by 1,276 · see citing works
Stecher, B., Robbiani, R., Walker, A. W., Westendorf, A. M., Barthel, M., Kremer, M., Chaffron, S., Macpherson, A. J., Buer, J., Parkhill, J., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050244 · Cited by 1,048 · see citing works
Kootte, R. S., Levin, E., Salojärvi, J., Smits, L. P., Hartstra, A. V., Udayappan, S. D., Hermes, G., Bouter, K. E., Koopen, A. M., Holst, J. J., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.09.008 · Cited by 1,039 · see citing works
Caesar, R., Tremaroli, V., Kovatcheva-Datchary, P., Cani, P. D., & Bäckhed, F. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.07.026 · Cited by 960 · see citing works
Rossen, N. G., Fuentes, S., van der Spek, M. J., Tijssen, J. G., Hartman, J. H. A., Duflou, A., Löwenberg, M., van den Brink, G. R., Mathus-Vliegen, E. M. H., de Vos, W. M., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.03.045 · Cited by 921 · see citing works
Kassam, Z., Lee, C. H., Yuan, Y., & Hunt, R. H. (2013) · American Journal of Gastroenterology · doi:10.1038/ajg.2013.59 · Cited by 904 · see citing works
Rivera-Chávez, F., Zhang, L. F., Faber, F., Lopez, C. A., Byndloss, M. X., Olsan, E. E., Xu, G., Velazquez, E. M., Lebrilla, C. B., Winter, S. E., et al. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2016.03.004 · Cited by 864 · see citing works
Microbiota as Predictor of Mortality in Allogeneic Hematopoietic-Cell Transplantation
Peled, J. U., Gomes, A. L. C., Devlin, S. M., Littmann, E. R., Taur, Y., Sung, A. D., Weber, D., Hashimoto, D., Slingerland, A. E., Slingerland, J. B., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1900623 · Cited by 765 · see citing works
Self-citationA metabolic pathway for bile acid dehydroxylation by the gut microbiome
Funabashi, M., Grove, T. L., Wang, M., Varma, Y., McFadden, M. E., Brown, L. C., Guo, C., Higginbottom, S., Almo, S. C., & Fischbach, M. A. (2020) · Nature · doi:10.1038/s41586-020-2396-4 · Cited by 590 · see citing works
Global chemical effects of the microbiome include new bile-acid conjugations
Quinn, R. A., Melnik, A. V., Vrbanac, A., Fu, T., Patras, K. A., Christy, M. P., Bodai, Z., Belda-Ferre, P., Tripathi, A., Chung, L. K., et al. (2020) · Nature · doi:10.1038/s41586-020-2047-9 · Cited by 579 · see citing works
Lawley, T. D., Clare, S., Walker, A. W., Stares, M. D., Connor, T. R., Raisen, C., Goulding, D., Rad, R., Schreiber, F., Brandt, C., et al. (2012) · PLoS Pathogens · doi:10.1371/journal.ppat.1002995 · Cited by 540 · see citing works
Lupp, C., Robertson, M. L., Wickham, M. E., Sekirov, I., Champion, O. L., Gaynor, E. C., & Finlay, B. B. (2007) · Cell Host & Microbe · doi:10.1016/j.chom.2007.08.002 · Cited by 501 · see citing works
Effects of microbiota-directed foods in gnotobiotic animals and undernourished children
Gehrig, J. L., Venkatesh, S., Chang, H.-W., Hibberd, M. C., Kung, V. L., Cheng, J., Chen, R. Y., Subramanian, S., Cowardin, C. A., Meier, M. F., et al. (2019) · Science · doi:10.1126/science.aau4732 · Cited by 431 · see citing works
Faith, J. J., Ahern, P. P., Ridaura, V. K., Cheng, J., & Gordon, J. I. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008051 · Cited by 373 · see citing works
Patnode, M. L., Beller, Z. W., Han, N. D., Cheng, J., Peters, S. L., Terrapon, N., Henrissat, B., Le Gall, S., Saulnier, L., Hayashi, D. K., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.011 · Cited by 329 · see citing works
Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses
Korem, T., Zeevi, D., Zmora, N., Weissbrod, O., Bar, N., Lotan-Pompan, M., Avnit-Sagi, T., Kosower, N., Malka, G., Rein, M., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.05.002 · Cited by 318 · see citing works
A bacterial bile acid metabolite modulates Treg activity through the nuclear hormone receptor NR4A1
Li, W., Hang, S., Fang, Y., Bae, S., Zhang, Y., Zhang, M., Wang, G., McCurry, M. D., Bae, M., Paik, D., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.07.013 · Cited by 306 · see citing works
Sorbara, M. T., Dubin, K., Littmann, E. R., Moody, T. U., Fontana, E., Seok, R., Leiner, I. M., Taur, Y., Peled, J. U., van den Brink, M. R. M., et al. (2019) · Journal of Experimental Medicine · doi:10.1084/jem.20181639 · Cited by 259 · see citing works
Self-citationOrenstein, R., Dubberke, E., Hardi, R., Ray, A., Mullane, K., Pardi, D. S., & Ramesh, M. S. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/civ938 · Cited by 197 · see citing works
Kao, D., Wong, K., Franz, R., Cochrane, K., Sherriff, K., Chui, L., Lloyd, C., Roach, B., Bai, A. D., Petrof, E. O., et al. (2021) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(21)00007-8 · Cited by 81 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193 · see citing works
Microbiota-mediated colonization resistance: mechanisms and regulation
Caballero-Flores, G., Pickard, J. M., & Núñez, G. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00833-7 · Cited by 474 · see citing works
Alli, S. R., Gorbovskaya, I., Liu, J. C. W., Kolla, N. J., Brown, L., & Müller, D. J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094494 · Cited by 202 · see citing works
The Gut Microbial Bile Acid Modulation and Its Relevance to Digestive Health and Diseases
Fogelson, K. A., Dorrestein, P. C., Zarrinpar, A., & Knight, R. (2023) · Gastroenterology · doi:10.1053/j.gastro.2023.02.022 · Cited by 177 · see citing works
Deciphering the quorum-sensing lexicon of the gut microbiota
Oliveira, R. A., Cabral, V., Torcato, I., & Xavier, K. B. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.03.015 · Cited by 74 · see citing works
Zhang, D., Zhang, J., Kalimuthu, S., Liu, J., Song, Z.-M., He, B.-B., Cai, P., Zhong, Z., Feng, C., Neelakantan, P., et al. (2023) · Microbiome · doi:10.1186/s40168-023-01540-y · Cited by 72 · see citing works
“Those LAB and their bacteriocins pre-sent in healthy individuals are promising priorities for microbiome-based therapeutics [49].”
The gut–brain axis in early Parkinson’s disease: from prodrome to prevention
Oliver, P. J., Civitelli, L., & Hu, M. T. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13138-5 · Cited by 42 · see citing works
- Authors
- Sorbara, M. T., & Pamer, E. G.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Pamer, Eric G.
- Venue
- Nature Reviews Microbiology
- Published
- 2022-01-06
- Volume
- 20
- Issue
- 6
- Pages
- 365-380
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W4206010635
- Cited by
- 468
- References
- 34
- Citations by year
- 2026: 103 · 2025: 107 · 2024: 108 · 2023: 95 · 2022: 55
- FWCI
- 9.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Microbiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research (FRN#152527)
- National Cancer Institute (P01CA023766)
- National Institute of Allergy and Infectious Diseases (R01AI095706, U01AI124275, R01AI042135)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- microbiota-based therapy, gut microbiota, fecal microbiota transplantation, bacterial consortium, prebiotics, diet, gut microbiota metabolites, disease resistance, clinical translation, regulatory challenges
- MeSH terms
- Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Health Promotion, Humans, Gastrointestinal Tract, Microbiota
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