The DOI matches its Crossref record; 54 of the 57 references it cites were found in a registry or an index.
High-intensity sweetener consumption and gut microbiome content and predicted gene function in a cross-sectional study of adults in the United States
Abstract
Purpose To evaluate gut microbiome in relation to recent high-intensity sweetener consumption in healthy adults.Methods Thirty-one adults completed a four-day food record and provided a fecal sample on the fifth day. Bacterial community in the samples was analyzed using multitag pyrosequencing. Across consumers and nonconsumers of aspartame and acesulfame-K, bacterial abundance was compared using nonparametric statistics, and bacterial diversity was compared using UniFrac analysis. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was used to predict mean relative abundance of gene function.Results There were seven aspartame consumers and seven acesulfame-K consumers. Three individuals overlapped groups, consuming both sweeteners. There were no differences in median bacterial abundance (class or order) across consumers and nonconsumers of either sweetener. Overall bacterial diversity was different across nonconsumers and consumers of aspartame (P < .01) and acesulfame-K (P = .03). Mean predicted gene abundance did not differ across consumers and nonconsumers of aspartame or acesulfame-K.Conclusions Bacterial abundance profiles and predicted gene function were not associated with recent dietary high-intensity sweetener consumption. However, bacterial diversity differed across consumers and nonconsumers. Given the increasing consumption of sweeteners and the role that the microbiome may have in chronic disease outcomes, work in further studies is warranted.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Although earlier human studies indicated detrimental effects on microbial diversity and composition (99, 100) and a more recent study linked consumption of nonnutritive sweeteners to a “dysbiosis” [an increasingly redundant term in microbiome research (171)] and a decrease in butyrate concentration (172), some reports have concluded that no clear effects of sweeteners on the microbiota can be”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [99]
Citations
Cites
1 retracted
Million, M., Maraninchi, M., Henry, M., Armougom, F., Richet, H., Carrieri, P., Valéro, R., Raccah, D., Vialettes, B., & Raoult, D. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.153 · Cited by 684
RetractedNucleic acid techniques in bacterial systematics
Stackebrandt, E. S., & Goodfellow, M. (1991) · Wiley eBooks · Cited by 9,460
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Lane, D. (1991) · Medical Entomology and Zoology · Cited by 8,190
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
Turnbaugh, P. J., Ley, R. E., Hamady, M., Fraser-Liggett, C. M., Knight, R., & Gordon, J. I. (2007) · Nature · doi:10.1038/nature06244 · Cited by 6,091
Gut Microbiota in Human Adults with Type 2 Diabetes Differs from Non-Diabetic Adults
Larsen, N., Vogensen, F. K., van den Berg, F. W. J., Nielsen, D. S., Andreasen, A. S., Pedersen, B. K., Al-Soud, W. A., Sørensen, S. J., Hansen, L. H., & Jakobsen, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009085 · Cited by 2,952
Artificial sweeteners induce glucose intolerance by altering the gut microbiota
Suez, J., Korem, T., Zeevi, D., Zilberman-Schapira, G., Thaiss, C. A., Maza, O., Israeli, D., Zmora, N., Gilad, S., Weinberger, A., et al. (2014) · Nature · doi:10.1038/nature13793 · Cited by 2,067
Human gut microbiota in obesity and after gastric bypass
Zhang, H., DiBaise, J. K., Zuccolo, A., Kudrna, D., Braidotti, M., Yu, Y., Parameswaran, P., Crowell, M. D., Wing, R., Rittmann, B. E., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812600106 · Cited by 1,880
EMPeror: a tool for visualizing high-throughput microbial community data
Vázquez‐Baeza, Y., Pirrung, M., Gonzalez, A., & Knight, R. D. (2013) · GigaScience · doi:10.1186/2047-217x-2-16 · Cited by 1,292
The indigenous gastrointestinal microflora
Berg, R. (1996) · Trends in Microbiology · doi:10.1016/0966-842x(96)10057-3 · Cited by 1,153
Willing, B. P., Dicksved, J., Halfvarson, J., Andersson, A. F., Lucio, M., Zheng, Z., Järnerot, G., Tysk, C., Jansson, J. K., & Engstrand, L. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.08.049 · Cited by 1,032
The core gut microbiome, energy balance and obesity
Turnbaugh, P. J., & Gordon, J. I. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.174136 · Cited by 993
Xu, J., & Gordon, J. I. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1734063100 · Cited by 890
T1R3 and gustducin in gut sense sugars to regulate expression of Na + -glucose cotransporter 1
Margolskee, R. F., Dyer, J., Kokrashvili, Z., Salmon, K. S. H., Ilegems, E., Daly, K., Maillet, E. L., Ninomiya, Y., Mosinger, B., & Shirazi-Beechey, S. P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706678104 · Cited by 882
Murri, M., Leiva, I., Gómez‐Zumaquero, J. M., Tinahones, F. J., Cardona, F., Soriguer, F., & Queipo‐Ortuño, M. I. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-46 · Cited by 783
Obesity and the human microbiome
Ley, R. E. (2009) · Current Opinion in Gastroenterology · doi:10.1097/mog.0b013e328333d751 · Cited by 783
Falk, P. G., Hooper, L. V., Midtvedt, T., & Gordon, J. I. (1998) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.62.4.1157-1170.1998 · Cited by 658
Minamoto, Y., Otoni, C. C., Steelman, S. M., Büyükleblebici, O., Steiner, J. M., Jergens, A. E., & Suchodolski, J. S. (2015) · Gut Microbes · doi:10.1080/19490976.2014.997612 · Cited by 369
Abou-Donia, M. B., EL-Masry, E. M., Abdel-Rahman, A. A., McLendon, R. E., & Schiffman, S. S. (2008) · Journal of Toxicology and Environmental Health · doi:10.1080/15287390802328630 · Cited by 348
Gastrointestinal microflora, food components and colon cancer prevention
Davis, C. D., & Milner, J. A. (2009) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2009.06.001 · Cited by 340
McHardy, I. H., Goudarzi, M., Tong, M., Ruegger, P. M., Schwager, E., Weger, J. R., Graeber, T. G., Sonnenburg, J. L., Horvath, S., Huttenhower, C., et al. (2013) · Microbiome · doi:10.1186/2049-2618-1-17 · Cited by 329
Functional roles of the sweet taste receptor in oral and extraoral tissues
Laffitte, A., Neiers, F., & Briand, L. (2014) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/mco.0000000000000058 · Cited by 238
McHardy, I. H., Li, X., Tong, M., Ruegger, P., Jacobs, J., Borneman, J., Anton, P., & Braun, J. (2013) · Microbiome · doi:10.1186/2049-2618-1-26 · Cited by 234
The Potential Toxicity of Artificial Sweeteners
Whitehouse, C. R., Boullata, J. I., & McCauley, L. (2008) · AAOHN Journal · doi:10.3928/08910162-20080601-02 · Cited by 233
Bibiloni, R., Mangold, M., Madsen, K. L., Fedorak, R. N., & Tannock, G. W. (2006) · Journal of Medical Microbiology · doi:10.1099/jmm.0.46498-0 · Cited by 226
Low-calorie sweetener consumption is increasing in the United States
Sylvetsky, A. C., Welsh, J. A., Brown, R. J., & Vos, M. B. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.034751 · Cited by 224
Bolte, E. R. (1998) · Medical Hypotheses · doi:10.1016/s0306-9877(98)90107-4 · Cited by 213
Payne, A. N., Chassard, C., & Lacroix, C. (2012) · Obesity Reviews · doi:10.1111/j.1467-789x.2012.01009.x · Cited by 204
Molecular analysis of gut microbiota in obesity among Indian individuals
Patil, D. P., Dhotre, D. P., Chavan, S. G., Sultan, A., Jain, D. S., Lanjekar, V. B., Gangawani, J., Shah, P. S., Todkar, J., Shah, S. S., et al. (2012) · Journal of Biosciences · doi:10.1007/s12038-012-9244-0 · Cited by 189
Intestinal anastomotic injury alters spatially defined microbiome composition and function
Shogan, B. D., Smith, D. P., Christley, S., Gilbert, J. A., Zaborina, O. Y., & Alverdy, J. C. (2014) · Microbiome · doi:10.1186/2049-2618-2-35 · Cited by 170
Lang, J., Eisen, J. A., & Zivkovic, A. M. (2014) · PeerJ · doi:10.7717/peerj.659 · Cited by 138
The Role of the Gastrointestinal Microbiota in Colorectal Cancer
Rowland, I. R. (2009) · Current Pharmaceutical Design · doi:10.2174/138161209788168191 · Cited by 131
The Gut Microbiota and Lipid Metabolism: Implications for Human Health and Coronary Heart Disease
Publisher, B. S. P. B. S. (2006) · Current Medicinal Chemistry · doi:10.2174/092986706778521814 · Cited by 129
Therapy and epidemiology of autism–clostridial spores as key elements
Finegold, S. M. (2007) · Medical Hypotheses · doi:10.1016/j.mehy.2007.07.019 · Cited by 123
Correlation of intestinal microbiota with overweight and obesity in Kazakh school children
Xu, P., Li, M., Zhang, J., & Zhang, T. (2012) · BMC Microbiology · doi:10.1186/1471-2180-12-283 · Cited by 120
Dysbiosis in Pouchitis: Evidence of Unique Microfloral Patterns in Pouch Inflammation
Komanduri, S., Gillevet, P. M., Sikaroodi, M., Mutlu, E., & Keshavarzian, A. (2007) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2007.01.001 · Cited by 120
Daly, K., Darby, A. C., Hall, N., Nau, A., Bravo, D., & Shirazi‐Beechey, S. P. (2014) · British Journal Of Nutrition · doi:10.1017/s0007114513002274 · Cited by 119
Development and Evaluation of the Healthy Eating Index-2005
Guenther, P. M., Reedy, J., Krebs‐Smith, S. M., Reeve, B. B., & Basiotis, P. P. (2007) · Cited by 117
Moran, A. W., Al-Rammahi, M. A., Arora, D. K., Batchelor, D. J., Coulter, E. A., Daly, K., Ionescu, C., Bravo, D., & Shirazi-Beechey, S. P. (2010) · British Journal of Nutrition · doi:10.1017/s0007114510000917 · Cited by 114
Quantitative Assessment of the Human Gut Microbiome Using Multitag Pyrosequencing
Gillevet, P. M., Sikaroodi, M., Keshavarzian, A., & Mutlu, E. (2010) · Chemistry & Biodiversity · doi:10.1002/cbdv.200900322 · Cited by 105
Obesity, Metabolic Syndrome, and Microbiota
Tilg, H. (2010) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0b013e3181dd8b64 · Cited by 103
Moran, A. W., Al-Rammahi, M. A., Zhang, C., Bravo, D., Calsamiglia, S., & Shirazi‐Beechey, S. P. (2014) · Journal of Dairy Science · doi:10.3168/jds.2014-8004 · Cited by 96
Metagenomics: the role of the microbiome in cardiovascular diseases
Ordovás, J. M., & Mooser, V. (2006) · Current Opinion in Lipidology · doi:10.1097/01.mol.0000217897.75068.ba · Cited by 85
Metabolic Alterations to the Mucosal Microbiota in Inflammatory Bowel Disease
Davenport, M., Poles, J., Leung, J. M., Wolff, M. J., Abidi, W. M., Ullman, T. A., Mayer, L., Cho, I., & Loke, P. (2014) · Inflammatory Bowel Diseases · doi:10.1097/mib.0000000000000011 · Cited by 85
MEDICAL IMPORTANCE OF THE NORMAL MICROFLORA
Tannock, G. W. (2000) · Shock · doi:10.1097/00024382-200003000-00015 · Cited by 77
Role of gut microbiota in Crohn’s disease
Baker, P., Love, D. R., & Ferguson, L. R. (2009) · Expert Review of Gastroenterology & Hepatology · doi:10.1586/egh.09.47 · Cited by 63
Network‐Based Modeling of the Human Gut Microbiome
Naqvi, A. S., Rangwala, H., Keshavarzian, A., & Gillevet, P. M. (2010) · Chemistry & Biodiversity · doi:10.1002/cbdv.200900324 · Cited by 60
Frankenfeld, C. L., Poudrier, J. K., Waters, N. M., Gillevet, P. M., & Xu, Y. (2012) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.06.003 · Cited by 54
The Human Microbiome Project: Getting to the Guts of the Matter in Cancer Epidemiology
Lampe, J. W. (2008) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-08-0792 · Cited by 37
The normal microflora: an introduction
Tannock, G. W. (1999) · Springer eBooks · doi:10.1007/978-1-4757-3021-0_1 · Cited by 34
Kunová, G., Rada, V., Vidaillac, A., & LISOVÁ, I. (2013) · Folia Microbiologica · doi:10.1007/s12223-013-0291-1 · Cited by 27
Analysis of Multitag Pyrosequence Data from Human Cervical Lavage Samples
Naqvi, A. S., Rangwala, H., Spear, G. T., & Gillevet, P. M. (2010) · Chemistry & Biodiversity · doi:10.1002/cbdv.200900321 · Cited by 8
Cited by
Sorted by citations
Global Impacts of Western Diet and Its Effects on Metabolism and Health: A Narrative Review
Clemente‐Suárez, V. J., Beltrán-Velasco, A. I., Redondo-Flórez, L., Martín-Rodríguez, A., & Tornero-Aguilera, J. F. (2023) · Nutrients · doi:10.3390/nu15122749 · Cited by 933
Lane, M. M., Davis, J. A., Beattie, S., Gómez‐Donoso, C., Loughman, A., O'Neil, A., Jacka, F., Berk, M., Page, R., Marx, W., et al. (2021) · Obesity Reviews · doi:10.1111/obr.13146 · Cited by 564
de Toro‐Martín, J., Arsenault, B. J., Després, J., & Vohl, M. (2017) · Nutrients · doi:10.3390/nu9080913 · Cited by 534
“In this regard, a recent study has shown that gut bacterial diversity could be affected by recent (four-day food record) sweetener consumption (aspartame and acesulfame potassium) [142].”
BackgroundDiet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health
Berding, K., Vlckova, K., Marx, W., Schellekens, H., Stanton, C., Clarke, G., Jacka, F., Dinan, T. G., & Cryan, J. F. (2021) · Advances in Nutrition · doi:10.1093/advances/nmaa181 · Cited by 451
Montero, C. G., Fraile‐Μartinez, O., Gomez-Lahoz, A. M., Pekarek, L., Castellanos, A. J., Noguerales-Fraguas, F., Coca, S., Guijarro, L. G., García‐Honduvilla, N., Asúnsolo, Á., et al. (2021) · Nutrients · doi:10.3390/nu13020699 · Cited by 487
Metadata
- Authors
- Frankenfeld, C. L., Sikaroodi, M., Lamb, E., Shoemaker, S., & Gillevet, P. M.
- Affiliations
- George Mason University (US)
- Corresponding author
- Frankenfeld, Cara L.
- Venue
- Annals of Epidemiology
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 25
- Issue
- 10
- Pages
- 736-742.e4
- ISSN
- 1047-2797 (ISSN-L)
- OpenAlex
- W1823483046
- Cited by
- 123
- References
- 57
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 16 · 2023: 14 · 2022: 10 · 2021: 18 · 2020: 15 · 2019: 10 · 2018: 5 · 2017: 6 · 2016: 8 · 2015: 1
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- George Mason University Microbiome Analysis Center
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Biochemical Analysis and Sensing Techniques
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- high-intensity sweeteners, gut microbiota, aspartame, acesulfame-K, bacterial diversity, bacterial abundance, healthy adults
- MeSH terms
- Gastrointestinal Microbiome, Aspartame, Energy Intake, Cross-Sectional Studies, Dietary Carbohydrates, Dose-Response Relationship, Drug, Feces, Female, Humans, Male, Sweetening Agents, Thiazines, United States, Diet Records, Body Mass Index
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