The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Meta‐analyses of human gut microbes associated with obesity and IBD
Open accessAbstract
Recent studies have linked human gut microbes to obesity and inflammatory bowel disease, but consistent signals have been difficult to identify. Here we test for indicator taxa and general features of the microbiota that are generally consistent across studies of obesity and of IBD, focusing on studies involving high‐throughput sequencing of the 16S rRNA gene (which we could process using a common computational pipeline). We find that IBD has a consistent signature across studies and allows high classification accuracy of IBD from non‐IBD subjects, but that although subjects can be classified as lean or obese within each individual study with statistically significant accuracy, consistent with the ability of the microbiota to experimentally transfer this phenotype, signatures of obesity are not consistent between studies even when the data are analyzed with consistent methods. The results suggest that correlations between microbes and clinical conditions with different effect sizes (e.g. the large effect size of IBD versus the small effect size of obesity) may require different cohort selection and analysis strategies.
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“this commonly-used but erroneous claim stems primarily from rodent-based research”
From Human microbiome myths and misconceptions (2023) · cites this paper as [26]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“there have now been at least three meta-analyses reporting that this finding is inconsistent between human studies, and that there are, in fact, no reproducible microbial taxonomic signatures of obesity in humans 25-27 .”
From Human microbiome myths and misconceptions (2023) · cites this paper as [26]
In the citing paper
“the family Oscillospiraceae, which produces butyrate (Gophna, Konikoff & Nielsen, 2017), is negatively associated with inflammatory diseases (Walters, Xu & Knight, 2014)”
From The modulatory effects of gut microbes and metabolites on blood-brain barrier integrity and brain function in sepsis-associated encephalopathy (2023) · cites this paper as Walters, Xu & Knight, 2014
In the citing paper
“However, this is not always the same between studies [83, 84] and may be an oversimplification of phylum-level patterns in relation to host health.”
From The athletic gut microbiota (2020) · cites this paper as [83]
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
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,098
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Bergey's Manual of Determinative Bacteriology
S., F. A., Buchanan, R. E., Gibbons, N. E., & Bergey (1975) · Taxon · doi:10.2307/1218353 · Cited by 11,304
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Statistical Methods for Research Workers
Fisher, R. A. (1945) · American Journal of Clinical Pathology · doi:10.1093/ajcp/15.11.552b · Cited by 10,883
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
Flagged first, then by citations
Research works printed but not linked: 1
- J.G. Holt 1994 Lippincott Williams & Wilkins London
Cited by
Sorted by citations
Items 301–400 of 837
Ceccarani, C., Bassanini, G., Montanari, C., Casiraghi, M. C., Ottaviano, E., Morace, G., Biasucci, G., Paci, S., Borghi, E., & Verduci, E. (2020) · Metabolites · doi:10.3390/metabo10040133 · Cited by 52
Nanomaterials with active targeting as advanced antimicrobials
Šmerková, K., Dolezelikova, K., Bozděchová, L., Heger, Z., Žůrek, L., & Adam, V. (2020) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1636 · Cited by 52
The effects of cigarettes and alcohol on intestinal microbiota in healthy men
Lin, R., Zhang, Y., Chen, L., Qi, Y., He, J., Hu, M., Zhang, Y., Fan, L., Yang, T., Wang, L., et al. (2020) · The Journal of Microbiology · doi:10.1007/s12275-020-0006-7 · Cited by 48
Dietary Organic Acids Modulate Gut Microbiota and Improve Growth Performance of Nursery Pigs
Wei, X., Bottoms, K. A., Stein, H. H., Blavi, L., Bradley, C. L., Bergstrom, J. R., Knapp, J., Story, R., Maxwell, C., Tsai, T.-C., et al. (2021) · Microorganisms · doi:10.3390/microorganisms9010110 · Cited by 53
An exercise intervention alters stool microbiota and metabolites among older, sedentary adults
Erlandson, K. M., Liu, J., Johnson, R. L., Dillon, S. M., Jankowski, C. M., Kroehl, M., Robertson, C. E., Frank, D. N., Tunçil, Y. E., HIGGINS, J. A., et al. (2021) · Therapeutic Advances in Infectious Disease · doi:10.1177/20499361211027067 · Cited by 53
Gorlé, N., Blaecher, C., Bauwens, E., Vandendriessche, C., Balusu, S., Vandewalle, J., Van Cauwenberghe, C., Van Wonterghem, E., Van Imschoot, G., Liu, C., et al. (2018) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2017.12.010 · Cited by 49
In-utero exposures and the evolving epidemiology of paediatric allergy
Khan, T. K., Palmer, D. J., & Prescott, S. L. (2015) · Current Opinion in Allergy and Clinical Immunology · doi:10.1097/aci.0000000000000209 · Cited by 49
Pepsin egg white hydrolysate modulates gut microbiota in Zucker obese rats
Requena, T., Miguel, M., Garcés‐Rimón, M., Martínez‐Cuesta, M. C., López‐Fandiño, R., & Peláez, C. (2017) · Food & Function · doi:10.1039/c6fo01571a · Cited by 51
Praharaj, I., Parker, E. P. K., Giri, S., Allen, D. J., Silas, S., Rajendiran, R., Kaliappan, S. P., John, J. K., Prasad, J. H., Kampmann, B., et al. (2018) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiy568 · Cited by 49
Fecal microbiota transplantation: great potential with many challenges
Kellermayer, R. (2019) · Translational Gastroenterology and Hepatology · doi:10.21037/tgh.2019.05.10 · Cited by 52
Gorlé, N., Bauwens, E., Haesebrouck, F., Smet, A., & Vandenbroucke, R. E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2020.584165 · Cited by 49
Multi-omics gut microbiome signatures in obese women: role of diet and uncontrolled eating behavior
Barone, M., Garelli, S., Rampelli, S., Agostini, A., Matysik, S., D’Amico, F., Krautbauer, S., Mazza, R., Salituro, N., Fanelli, F., et al. (2022) · BMC Medicine · doi:10.1186/s12916-022-02689-3 · Cited by 56
Squillario, M., Bonaretti, C., Valle, A. L., Marco, E. D., Piccolo, G., Minuto, N., Patti, G., Napoli, F., Bassi, M., Maghnie, M., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-36533-2 · Cited by 48
Gao, Y., Yang, L., Chin, Y., Liu, F., Li, R. W., Yuan, S., Xue, C., Xu, J., & Tang, Q. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21062149 · Cited by 49
Experimental Chagas disease-induced perturbations of the fecal microbiome and metabolome
McCall, L., Tripathi, A., Vargas, F., Knight, R. D., Dorrestein, P. C., & Siqueira-Neto, J. L. (2018) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0006344 · Cited by 49
Self-citationMetagenomic analysis of gut microbial communities from a Central Asian population
Kushugulova, A. R., Forslund, S. K., Costea, P. I., Kozhakhmetov, S., Khassenbekova, Z., Urazova, M. S., Nurgozhin, T. S., Zhumadilov, Z. S., Benberin, V. V., Driessen, M., et al. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-021682 · Cited by 47
Gut Microbiota: An Important Participant in Childhood Obesity
Luo, Y., Li, M., Luo, D., & Tang, B. (2024) · Advances in Nutrition · doi:10.1016/j.advnut.2024.100362 · Cited by 50
Microbiome-Metabolome Responses to a High-Grain Diet Associated with the Hind-Gut Health of Goats
Tao, S., Tian, P., Luo, Y., Tian, J., Hua, C., Geng, Y., Cong, R., Ni, Y., & Zhao, R. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01764 · Cited by 46
Influence of the microbiota and probiotics in obesity
Fontané, L., Benaiges, D., Goday, A., Llauradó, G., & Pedro‐Botet, J. (2018) · Clínica e Investigación en Arteriosclerosis (English Edition) · doi:10.1016/j.artere.2018.10.002 · Cited by 48
Bruce‐Keller, A. J., Richard, A. J., Fernandez-Kim, S.-O., Ribnicky, D., Salbaum, J. M., Newman, S. S., Carmouche, R. P., & Stephens, J. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-58005-7 · Cited by 47
Aktaş, B., Wolfe, T. J. D., Safdar, N., Darien, B. J., & Steele, J. L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156374 · Cited by 49
Oh, T. J., Sul, W. J., Oh, H. N., Lee, Y.-K., Lim, H. L., Choi, S. H., Park, K. S., & Jang, H. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-56684-5 · Cited by 48
Ren, Z., Xu, Y., Li, T., Sun, W., Tang, Z., Wang, Y., Zhou, K., Li, J., Ding, Q., Liang, K., et al. (2022) · Animal Nutrition · doi:10.1016/j.aninu.2022.06.009 · Cited by 44
Warda, A. K., Clooney, A. G., Ryan, F. J., Bettio, P. H. D. A., Benedetto, G. D., Ross, R. P., & Hill, C. (2021) · Applied and Environmental Microbiology · doi:10.1128/aem.02459-20 · Cited by 46
Kozuka, C., Shimizu‐Okabe, C., Takayama, C., Nakano, K., Morinaga, H., Kinjo, A., Fukuda, K., Kamei, A., Yasuoka, A., Kondo, T., et al. (2017) · Drug Delivery · doi:10.1080/10717544.2017.1279237 · Cited by 44
Influencia de la microbiota y de los probióticos en la obesidad
Fontané, L., Benaiges, D., Goday, A., Llauradó, G., & Pedro‐Botet, J. (2018) · Clínica e Investigación en Arteriosclerosis · doi:10.1016/j.arteri.2018.03.004 · Cited by 52
Hart, M. L., Ericsson, A. C., Lloyd, K. C. K., Grimsrud, K., Rogala, A. R., Godfrey, V., Nielsen, J. N., & Franklin, C. L. (2018) · Scientific Reports · doi:10.1038/s41598-018-28448-0 · Cited by 41
The gut microbiota and Bergmann’s rule in wild house mice
Suzuki, T. A., Martins, F. M., Phifer‐Rixey, M., & Nachman, M. W. (2020) · Molecular Ecology · doi:10.1111/mec.15476 · Cited by 43
Wang, C., Wang, X., Huang, Y., Bu, X., Xiao, S., Qin, C., Qiao, F., Qin, J. G., & Chen, L. (2020) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2020.08.019 · Cited by 44
Cage and maternal effects on the bacterial communities of the murine gut
Singh, G., Brass, A., Cruickshank, S. M., & Cg, K. (2021) · Scientific Reports · doi:10.1038/s41598-021-89185-5 · Cited by 42
Liu, Y., Li, W., Yang, H., Zhang, X., Wang, W., Jia, S., Xiang, B., Wang, Y., Miao, L., Zhang, H., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.645951 · Cited by 45
Li, Z., Zhang, F., Sun, M., Liu, J., Zhao, L., Liu, S., Li, S., & Wang, B. (2023) · PeerJ · doi:10.7717/peerj.15122 · Cited by 43
“…); the family Oscillospiraceae , which produces butyrate ( Gophna, Konikoff & Nielsen, 2017 ), is negatively associated with inflammatory diseases ( Walters, Xu & Knight, 2014 ); and the family Acidaminococcaceae can produce propionate ( Gallier, Van den Abbeele & Prosser, 2020 ) and exhibits a…”
A microbial signature following bariatric surgery is robustly consistent across multiple cohorts
Fouladi, F., Carroll, I. M., Sharpton, T. J., Bulik‐Sullivan, E. C., Heinberg, L. J., Steffen, K. J., & Fodor, A. A. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1930872 · Cited by 44
The Use of Blended Diets in Children With Enteral Feeding Tubes
Köglmeier, J., Assecaira, I., Banci, E., de Koning, B., Haiden, N., Indrio, F., Kastelijn, W., Kennedy, D., Luque, V., Norsa, L., et al. (2022) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0000000000003601 · Cited by 43
Marzorati, M., den Abbeele, P. V., Bubeck, S. S., Bayne, T., Krishnan, K., & Young, A. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110676 · Cited by 47
Zhu, Y., Gu, L., Lin, X., Zhang, J., Tang, Y., Zhou, X., Lu, B., Lin, X., Liu, C., Prochownik, E. V., et al. (2021) · JCI Insight · doi:10.1172/jci.insight.150607 · Cited by 43
Effects of Oral Glucose-Lowering Agents on Gut Microbiota and Microbial Metabolites
Wang, D., Liu, J. Y., Zhou, L., Zhang, Q., Li, M., & Xiao, X. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.905171 · Cited by 48
High relative abundance of firmicutes and increased TNF-α levels correlate with obesity in children
Orbe-Orihuela, Y. C., Lagunas-Martínez, A., Bahena-Román, M., Madrid‐Marina, V., Torres-Poveda, K., Flores‐Alfaro, E., Méndez-Padrón, A., Díaz-Benítez, C. E., Peralta-Zaragoza, Ó., Antúnez-Ortiz, D. L., et al. (2017) · Salud Pública de México · doi:10.21149/8133 · Cited by 42
Bhandarkar, N. S., Mouatt, P., Gonçalves, P., Thomas, T., Brown, L., & Panchal, S. K. (2020) · The FASEB Journal · doi:10.1096/fj.201902416rr · Cited by 46
Kubinski, R., Djamen-Kepaou, J.-Y., Zhanabaev, T., Hernández-García, Á., Bauer, S., Hildebrand, F., Korcsmáros, T., Karam, S., Jantchou, P., Kafi, K., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.784397 · Cited by 40
Ming, K., Zhuang, S., Ma, N., Nan, S., Li, Q., Ding, M., & Ding, Y. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1033875 · Cited by 43
Little, R. D., Jayawardana, T. C., Koentgen, S., Zhang, F., Connor, S. J., Boussioutas, A., Ward, M. G., Gibson, P. R., Sparrow, M., & Hold, G. L. (2024) · eGastroenterology · doi:10.1136/egastro-2023-100006 · Cited by 42
Jones, E. J., Stentz, R., Telatin, A., Savva, G. M., Booth, C., Baker, D., Rudder, S. J., Knight, S. C., Noble, A., & Carding, S. R. (2021) · Genes · doi:10.3390/genes12101636 · Cited by 41
Turning Participatory Microbiome Research into Usable Data: Lessons from the American Gut Project
Debelius, J. W., Vázquez‐Baeza, Y., McDonald, D. T., Xu, Z. Z., Wolfe, E., & Knight, R. D. (2016) · Journal of Microbiology and Biology Education · doi:10.1128/jmbe.v17i1.1034 · Cited by 40
Self-citationMicrobiotal-Host Interactions and Hypertension
Galla, S., Chakraborty, S., Mell, B., Vijay–Kumar, M., & Joe, B. (2017) · Physiology · doi:10.1152/physiol.00003.2017 · Cited by 41
Qi, K., Men, X., Wu, J., & Xu, Z. (2019) · BMC Microbiology · doi:10.1186/s12866-019-1556-x · Cited by 41
Self-citationMicrobiome response to diet: focus on obesity and related diseases
Delzenne, N. M., Rodriguez, J., Olivares, M., & Neyrinck, A. M. (2020) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-020-09572-7 · Cited by 40
The microbiome in obstructive sleep apnea
Cai, Y., Juszczak, H. M., Cope, E. K., & Goldberg, A. N. (2021) · SLEEP · doi:10.1093/sleep/zsab061 · Cited by 40
Celiberto, L. S., Pinto, R. A., Rossi, E. A., Vallance, B. A., & Cavallini, D. C. U. (2018) · Nutrients · doi:10.3390/nu10111684 · Cited by 42
Contrasting Strategies: Human Eukaryotic Versus Bacterial Microbiome Research
Hooks, K. B., & O’Malley, M. A. (2019) · Journal of Eukaryotic Microbiology · doi:10.1111/jeu.12766 · Cited by 41
Šoltýs, K., Stuchlíková, M., Hlavatý, T., Gaálová, B., Budiš, J., Gazdarica, J., Krajčovičová, A., Zelinková, Z., Szemes, T., Kuba, D. M., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-62811-4 · Cited by 39
Choi, H., Bae, S., Choi, G., Lee, H., Son, T., Kim, J. S., An, S., Lee, H. S., Seo, J. H., Kwon, H., et al. (2020) · The FASEB Journal · doi:10.1096/fj.201902753r · Cited by 38
Liu, Y., Wang, S., Zhang, J., Zhang, W., Zhou, S., & Wen, L. (2020) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2020.3018138 · Cited by 38
Basson, A. R., Gomez-Nguyen, A., LaSalla, A., Buttó, L. F., Kulpins, D., Warner, A. N., Martino, L. D., Ponzani, G., Ösme, A., Rodriguez‐Palacios, A., et al. (2020) · Journal of Nutrition · doi:10.1093/jn/nxaa386 · Cited by 40
Caputo, M., Pigni, S., Antoniotti, V., Agosti, E., Caramaschi, A., Antonioli, A., Aimaretti, G., Manfredi, M., Bona, E., & Prodam, F. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2087593 · Cited by 43
Liu, X., Wang, C., Wang, Y., Wang, C., Sun, X., Zhu, Y., Yang, X., Zhang, L., & Liu, Y. (2023) · Poultry Science · doi:10.1016/j.psj.2023.102900 · Cited by 38
Bas-Prior, J. M. D., Guirro, M., Boqué, N., Cereto‐Massagué, A., Ras, R., Crescenti, A., Caimari, A., Canela-Canela, N., & Arola, L. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.284 · Cited by 41
Gual‐Grau, A., Guirro, M., Mayneris‐Perxachs, J., Arola, L., & Boqué, N. (2019) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2019.06.005 · Cited by 40
Lopetuso, L. R., Quagliariello, A., Schiavoni, M., Petito, V., Russo, A., Reddel, S., CHIERICO, F. D., Ianiro, G., Scaldaferri, F., Neri, M., et al. (2020) · Digestive and Liver Disease · doi:10.1016/j.dld.2020.05.020 · Cited by 39
Niu, W., Yang, F., Fu, Z., Dong, Y., Zhang, Z., & Ju, J. (2021) · Microbial Pathogenesis · doi:10.1016/j.micpath.2021.105381 · Cited by 39
Frugé, A., Ptacek, T., Tsuruta, Y., Morrow, C., Azrad, M., Desmond, R., Hunter, G., Rais-Bahrami, S., & Demark-Wahnefried, W. (2016) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2016.10.017 · Cited by 38
Nutrition during pregnancy: Influence on the gut microbiome and fetal development
Barrientos, G., Ronchi, F., & Conrad, M. L. (2023) · American Journal of Reproductive Immunology · doi:10.1111/aji.13802 · Cited by 42
Zhang, K., Zhang, Q., Qiu, H., Ma, Y., Hou, N., Zhang, J., Kan, C., Han, F., Sun, X., & Shi, J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37609 · Cited by 43
Ghoshal, U. C., Goel, A., & Quigley, E. M. M. (2020) · Indian Journal of Gastroenterology · doi:10.1007/s12664-020-01027-w · Cited by 37
Colonic Mucosal Epigenome and Microbiome Development in Children and Adolescents
Harris, R. A., Shah, R., Hollister, E. B., Tronstad, R. R., Hovdenak, N., Szigeti, R. G., Versalovic, J. A., & Kellermayer, R. (2016) · Journal of Immunology Research · doi:10.1155/2016/9170162 · Cited by 36
Zhou, Z., Feng, Y., Xie, L., Ma, S., Cai, Z., & Ma, Y. (2024) · Reproductive Biology and Endocrinology · doi:10.1186/s12958-024-01184-z · Cited by 42
Molecular Paths Linking Metabolic Diseases, Gut Microbiota Dysbiosis and Enterobacteria Infections
Sérino, M. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.01.010 · Cited by 37
Rodriguez, D. M., Benninghoff, A. D., Aardema, N. D. J., Phatak, S., & Hintze, K. J. (2019) · Nutrients · doi:10.3390/nu11071630 · Cited by 37
Shinde, T., Vemuri, R., Shastri, S., Perera, A. P., Gondalia, S. V., Beale, D. J., Karpe, A. V., Eri, R. D., & Stanley, R. A. (2020) · Nutrients · doi:10.3390/nu12082380 · Cited by 37
Nardelli, C., Granata, I., Nunziato, M., Setaro, M., Carbone, F., Zulli, C., Pilone, V., Capoluongo, E. D., Palma, G. D. D., Corcione, F., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910747 · Cited by 36
Dietary Magnesium Alleviates Experimental Murine Colitis through Modulation of Gut Microbiota
CHIERICO, F. D., Trapani, V., Petito, V., Reddel, S., Pietropaolo, G., Graziani, C., Masi, L., Gasbarrini, A., Putignani, L., Scaldaferri, F., et al. (2021) · Nutrients · doi:10.3390/nu13124188 · Cited by 36
Greathouse, K. L., White, J. R., Padgett, R. N., Perrotta, B. G., Jenkins, G. D., Chia, N., & Chen, J. (2019) · BMJ Open Gastroenterology · doi:10.1136/bmjgast-2018-000247 · Cited by 35
Ji, Y., Tao, T., Zhang, J., Su, A., Zhao, L., Chen, H., & Hu, Q. (2021) · Phytomedicine · doi:10.1016/j.phymed.2021.153653 · Cited by 35
Power, K. A., Lu, J. T., Monk, J. M., Lepp, D., Wu, W., Zhang, C., Liu, R., Tsao, R., Robinson, L. E., Wood, G. A., et al. (2016) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201500890 · Cited by 36
Tripathi, A., Xu, Z. Z., Xue, J., Poulsen, O., Gonzalez, A., Humphrey, G., Meehan, M. J., Melnik, A. V., Ackermann, G. L., Zhou, D., et al. (2019) · mSystems · doi:10.1128/msystems.00058-19 · Cited by 36
Self-citationMetabolic networks of the human gut microbiota
Selber‐Hnatiw, S., Sultana, T., Tse, W., Abdollahi, N., Abdullah, S., Rahbani, J. A., Alazar, D., Alrumhein, N. J., Aprikian, S., Arshad, R., et al. (2019) · Microbiology · doi:10.1099/mic.0.000853 · Cited by 38
Obesity Modulates the Gut Microbiome in Triple-Negative Breast Cancer
Hossain, F. M., Majumder, S., David, J., Bunnell, B. A., & Miele, L. (2021) · Nutrients · doi:10.3390/nu13103656 · Cited by 35
High-fat diet, microbiome-gut-brain axis signaling, and anxiety-like behavior in male rats
Noronha, S. I. S. R., de Moraes, L. Â. G., Hassell, J. E., Stamper, C. E., Arnold, M. R., Heinze, J. D., Foxx, C. L., Lieb, M. W., Cler, K. E., Karns, B. L., et al. (2024) · Biological Research · doi:10.1186/s40659-024-00505-1 · Cited by 37
Diet and Gut Microbial Function in Metabolic and Cardiovascular Disease Risk
Meyer, K. A., & Bennett, B. J. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0791-x · Cited by 35
Association study of gut flora in Wilson's disease through high-throughput sequencing
Geng, H., Shu, S., Dong, J., Li, H., Xu, C., Han, Y., Hu, J., Han, Y., Yang, R., & Cheng, N. (2018) · Medicine · doi:10.1097/md.0000000000011743 · Cited by 34
Ballesté, E., Belanche-Muñoz, L. A., Farnleitner, A. H., Linke, R. B., Sommer, R., Santos, R., Monteiro, S., Maunula, L., Oristo, S., Tiehm, A., et al. (2019) · Water Research · doi:10.1016/j.watres.2019.115392 · Cited by 35
Lipid and energy metabolism in Wilson disease
Mazi, T. A., Shibata, N. M., & Medici, V. (2020) · Liver Research · doi:10.1016/j.livres.2020.02.002 · Cited by 35
Ma, J., Sheng, L., Hong, Y., Xi, C., Gu, Y., Zheng, N., Li, M., Chen, L., Wu, G., Li, Y., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00972 · Cited by 34
Serum LPS and CD163 Biomarkers Confirming the Role of Gut Dysbiosis in Overweight Patients with NASH
Hegazy, M., Mogawer, S., Alnaggar, A. R., Ghoniem, O. A., & Samie, R. M. A. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s249949 · Cited by 34
Modulatory role of the endocannabinoidome in the pathophysiology of the gastrointestinal tract
Lian, J., Casari, I., & Falasca, M. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.106025 · Cited by 37
The Role of Phytochemicals and Gut Microbiome in Atherosclerosis in Preclinical Mouse Models
Centner, A. M., Khalili, L., Ukhanov, V., Kadyan, S., Nagpal, R., & Salazar, G. (2023) · Nutrients · doi:10.3390/nu15051212 · Cited by 32
Zhuang, Y.-P., Zhou, H., Chen, H., Zheng, M.-Y., Liang, Y., Gu, Y.-T., Li, W., Qiu, W., & Zhou, H. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115040 · Cited by 34
Heffernan, A., Duplančić, D., Kumrić, M., Kurir, T. T., & Božić, J. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25063243 · Cited by 36
Role of adenoviruses in obesity
Voss, J. D., Atkinson, R. L., & Dhurandhar, N. V. (2015) · Reviews in Medical Virology · doi:10.1002/rmv.1852 · Cited by 33
Aktaş, B., Wolfe, T. J. D., Tandee, K., Safdar, N., Darien, B. J., & Steele, J. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145784 · Cited by 34
Optimization of metabolomics of defined in vitro gut microbial ecosystems
Wissenbach, D. K., Oliphant, K., Rolle-Kampczyk, U. E., Yen, S., Hoeke, H., Baumann, S., Haange, S., Verdu, E. F., Allen‐Vercoe, E., & von Bergen�, M. (2016) · International Journal of Medical Microbiology · doi:10.1016/j.ijmm.2016.03.007 · Cited by 33
Hermes, G. D. A., Reijnders, D., Kootte, R. S., Goossens, G. H., Smidt, H., Nieuwdorp, M., Blaak, E. E., & Zoetendal, E. G. (2020) · Scientific Reports · doi:10.1038/s41598-020-64574-4 · Cited by 33
Li, K.-M., Wang, L., Wong, C. Y., Chiu, P. K., Teoh, J. Y., Kwok, H. S., Leung, S. C. H., Wong, S. H., Tsui, S. K., & Ng, C. (2021) · Prostate Cancer and Prostatic Diseases · doi:10.1038/s41391-021-00360-1 · Cited by 34
The Gut Microbiome and Gastrointestinal Toxicities in Pelvic Radiation Therapy: A Clinical Review
Oh, B., Eade, T., Lamoury, G., Carroll, S. L., Morgia, M., Kneebone, A. B., Hruby, G., Stevens, M. J., Boyle, F. M., Clarke, S. J., et al. (2021) · Cancers · doi:10.3390/cancers13102353 · Cited by 34
Liu, L., Cai, X., Ai, Y., Li, J., Long, H., Ren, W., Huang, A., Zhang, X., & Xie, Z. (2021) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2021.12.005 · Cited by 33
Tian, J., Wang, X., Zhang, X., Chen, X., Dong, M., Rui, X., Zhang, Q., Jiang, M., & Li, W. (2022) · Food Science and Human Wellness · doi:10.1016/j.fshw.2022.07.065 · Cited by 33
Gerner, R. R., Hossain, S., Sargun, A., Siada, K., Norton, G. J., Zheng, T., Neumann, W., Nuccio, S., Nolan, E. M., & Raffatellu, M. (2022) · mBio · doi:10.1128/mbio.02184-22 · Cited by 32
Ishaq, H. M., Yasin, R., Mohammad, I. S., Yang, F., Li, H., Shahzad, M., & Xu, J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e30494 · Cited by 34
Medina, D. A., Li, T., Pamela Thomson, M., Artacho, A., Pérez‐Brocal, V., & Moyá, A. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.02346 · Cited by 33
Wijdeveld, M., Nieuwdorp, M., & IJzerman, R. G. (2020) · Expert Opinion on Therapeutic Targets · doi:10.1080/14728222.2020.1761958 · Cited by 32
Metadata
- Authors
- Walters, W. A., Xu, Z., & Knight, R.
- Affiliations
- University of Colorado Boulder (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Knight, Rob
- Venue
- FEBS Letters
- Publisher
- Wiley
- Published
- 2014-10-13
- Volume
- 588
- Issue
- 22
- Pages
- 4223-4233
- ISSN
- 0014-5793 (ISSN-L)
- 1873-3468
- PMC
- PMC5050012
- OpenAlex
- W2037279825
- Cited by
- 836
- References
- 54
- Citations by year
- 2026: 27 · 2025: 42 · 2024: 66 · 2023: 65 · 2022: 84 · 2021: 96 · 2020: 98 · 2019: 92 · 2018: 91 · 2017: 78 · 2016: 64 · 2015: 32 · 2014: 1
- FWCI
- 5.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- FEBS Letters (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institutes of Health
- Crohns and Colitis Foundation of America
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Gastroenterology › Inflammatory Bowel Disease
- Keywords
- gut microbiota, obesity, inflammatory bowel disease, 16S rRNA gene, indicator taxa, microbiota transfer, effect size, cohort selection
- MeSH terms
- Animals, Feces, Humans, Obesity, Inflammatory Bowel Diseases, Sequence Analysis, RNA, Gastrointestinal Tract
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
