The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Obesity alters gut microbial ecology
Open accessAbstract
We have analyzed 5,088 bacterial 16S rRNA gene sequences from the distal intestinal (cecal) microbiota of genetically obese ob/ob mice, lean ob/+ and wild-type siblings, and their ob/+ mothers, all fed the same polysaccharide-rich diet. Although the majority of mouse gut species are unique, the mouse and human microbiota(s) are similar at the division (superkingdom) level, with Firmicutes and Bacteroidetes dominating. Microbial-community composition is inherited from mothers. However, compared with lean mice and regardless of kinship, ob/ob animals have a 50% reduction in the abundance of Bacteroidetes and a proportional increase in Firmicutes. These changes, which are division-wide, indicate that, in this model, obesity affects the diversity of the gut microbiota and suggest that intentional manipulation of community structure may be useful for regulating energy balance in obese individuals. The sequences reported in this paper have been deposited in the GenBank database [accession nos. DQ 014552--DQ 015671 (mothers) and AY 989911--AY 993908 (offspring)].
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In the citing paper
“Most of the animal and human studies have reported that obesity and insulin resistance are associated with an altered ratio of Firmicutes and Bacteroidetes [8,9].”
From Effects of Regular Kefir Consumption on Gut Microbiota in Patients with Metabolic Syndrome: A Parallel-Group, Randomized, Controlled Study (2019) · cites this paper as [8]
Experimental — accuracy not yet measuredIn the citing paper
“Indeed, obesity has been associated with altered gut microbiota composition, reduced microbial diversity, and reduced gene richness (Le Chatelier et al., 2013; Ley et al., 2005; Turnbaugh et al., 2009).”
From Roux-en-Y Gastric Bypass and Vertical Banded Gastroplasty Induce Long-Term Changes on the Human Gut Microbiome Contributing to Fat Mass Regulation (2015) · cites this paper as Ley et al., 2005
In the citing paper
“An increase in relative abundance of Firmicutes and a proportional decrease in Bacteroidetes were associated with the microbiota of obese mice,23”
From The gut microbiota and host health: a new clinical frontier (2016) · cites this paper as [23]
In the citing paper
“The altered microbiota that is observed in genetically obese mice11,12 is sufficient to promote increased adiposity in lean mice that receive a microbiota transplant12”
From Diet–microbiota interactions as moderators of human metabolism (2016) · cites this paper as [11]
In the citing paper
“Animal and human data have reported that the Firmicutes/Bacteroidetes ratio is higher (i.e., increased Firmicutes and/or decreased Bacteroidetes) in obese people compared to lean people [79–82].”
From The athletic gut microbiota (2020) · cites this paper as [80]
In the citing paper
“Early work in the gut microbiome field demonstrated that alterations in fecal microbial community composition are associated with the development of obesity and insulin resistance, and that microbial transplantation could transmit heightened adiposity in the host2–4.”
From Gut microbiota and cardiovascular disease. (2020) · cites this paper as [3]
In the citing paper
“Early work in the gut microbiome field demonstrated that alterations in fecal microbial community composition are associated with the development of obesity and insulin resistance, and that microbial transplantation could transmit heightened adiposity in the host2–4.”
From Gut microbiota and cardiovascular disease. (2020) · cites this paper as [3]
In the citing paper
“Host biology and environmental cues are both substantial contributors toward shaping gut-associated bacterial communities.3,56,57”
From Using Corticosteroids to Reshape the Gut Microbiome: Implications for Inflammatory Bowel Diseases (2015) · cites this paper as [57]
In the citing paper
“An increase in this ratio in some [40], but not all [10] studies, has been found to be associated with obesity in humans as well as in genetically or diet-induced obese mice [40], [46], [47]”
From Gut microbiota and glucometabolic alterations in response to recurrent partial sleep deprivation in normal-weight young individuals (2016) · cites this paper as [46]
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Citations
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
MrBayes 3: Bayesian phylogenetic inference under mixed models
Ronquist, F., & Huelsenbeck, J. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg180 · Cited by 29,194
MODELTEST: testing the model of DNA substitution.
Posada, D., & Crandall, K. A. (1998) · Bioinformatics · doi:10.1093/bioinformatics/14.9.817 · Cited by 19,820
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Nucleic acid techniques in bacterial systematics
Stackebrandt, E. S., & Goodfellow, M. (1991) · Wiley eBooks · Cited by 9,460
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
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,820
ARB: a software environment for sequence data
Ludwig, W. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh293 · Cited by 6,714
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245
Self-citationHost-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Self-citationHandelsman, J., Rondon, M. R., Brady, S. F., Clardy, J., & Goodman, R. M. (1998) · Chemistry & Biology · doi:10.1016/s1074-5521(98)90108-9 · Cited by 2,007
Chao, A., Chazdon, R. L., Colwell, R. K., & Shen, T. (2004) · Ecology Letters · doi:10.1111/j.1461-0248.2004.00707.x · Cited by 1,906
Comparative Metagenomics of Microbial Communities
Tringe, S. G., von Mering, C., Kobayashi, A., Salamov, A. A., Chen, K., Chang, H. W., Podar, M., Short, J. M., Mathur, E. J., Detter, J. C., et al. (2005) · Science · doi:10.1126/science.1107851 · Cited by 1,677
The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis
Cole, J. R. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki038 · Cited by 1,478
RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees
Stamatakis, A., Ludwig, T. G., & Meier, H. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bti191 · Cited by 1,429
A Genomic View of the Human- Bacteroides thetaiotaomicron Symbiosis
Xu, J., Bjursell, M. K., Himrod, J., Deng, S., Carmichael, L. K., Chiang, H. C., Hooper, L. V., & Gordon, J. I. (2003) · Science · doi:10.1126/science.1080029 · Cited by 1,353
Self-citationGlycan foraging in vivo by an intestine-adapted bacterial symbiont
Sonnenburg, J. L., Xu, J., Leip, D. D., Chen, C.-H., Westover, B. P., Weatherford, J., Buhler, J. D., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1109051 · Cited by 1,184
Self-citationOBESE, A NEW MUTATION IN THE HOUSE MOUSE*
INGALLS, A. M., DICKIE, M. M., & SNELL, G. D. (1950) · Journal of Heredity · doi:10.1093/oxfordjournals.jhered.a106073 · Cited by 1,090
Phylogenetic Relationships of Butyrate-Producing Bacteria from the Human Gut
Barcenilla, A., Pryde, S. E., Martin, J. C., Duncan, S. H., Stewart, C. S., Henderson, C., & Flint, H. J. (2000) · Applied and Environmental Microbiology · doi:10.1128/aem.66.4.1654-1661.2000 · Cited by 996
Data Analysis: A Model-Comparison Approach
Vining, G., Judd, C. M., & McClelland, G. H. (1992) · Technometrics · doi:10.2307/1269570 · Cited by 933
Exploring prokaryotic diversity in the genomic era.
Hugenholtz, P. (2002) · Genome biology · doi:10.1186/gb-2002-3-2-reviews0003 · Cited by 887
Aberrant expansion of segmented filamentous bacteria in IgA-deficient gut
Suzuki, K., Meek, B., Doi, Y., Muramatsu, M., Chiba, T., Honjo, T., & Fagarasan, S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307317101 · Cited by 721
The Host Genotype Affects the Bacterial Community in the Human Gastronintestinal Tract
Zoetendal, A. D. L. A. E. G. (2001) · Microbial Ecology in Health and Disease · doi:10.1080/089106001750462669 · Cited by 558
Antibiotic use in animal agriculture
Gustafson, R. H., & Bowen, R. E. (1997) · Journal of Applied Microbiology · doi:10.1046/j.1365-2672.1997.00280.x · Cited by 348
New Perspective on Uncultured Bacterial Phylogenetic Division OP11
Harris, J. K., Kelley, S. T., & Pace, N. R. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.2.845-849.2004 · Cited by 229
Papineau, D., Walker, J. J., Mojzsis, S. J., & Pace, N. R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.8.4822-4832.2005 · Cited by 209
OBESE, A NEW MUTATION IN THE HOUSE MOUSE*
Ingalls, A. M., Dickie, M. M., & Snell, G. D. (1996) · Obesity Research · doi:10.1002/j.1550-8528.1996.tb00519.x · Cited by 192
Intestinal nutrient transport in genetically obese mice
Ferraris, R., & Vinnakota, R. R. (1995) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/62.3.540 · Cited by 67
Energy balance in adrenalectomized ob/ob mice: effects of dietary starch and glucose
Warwick, B. P., & Romsos, D. R. (1988) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.1988.255.1.r141 · Cited by 15
Research works printed but not linked: 3
- Papineau D. Walker J. J. Mojzsis S. J. & Pace N. R. Appl. Environ. Microbiol. in press.
- Hugenholtz, P. (2002) Genome Biol. 3, REVIEWS0003.11864374
- Warwick, B. P. & Romsos, D. R. (1988) Am. J. Physiol. 255, R141-R148.3293471
Cited by
Sorted by citations
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
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
Self-citationA human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
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
Self-citationUniFrac: 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
Self-citation
Metadata
- Authors
- Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I.
- Affiliations
- University of Colorado Boulder (US)
- Center for Genomes Sciences, Washington University School of Medicine, St. Louis, MO 63108; and Departments of Molecular, Cellular, and Developmental Biology and Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2005-07-20
- Volume
- 102
- Issue
- 31
- Pages
- 11070-11075
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC1176910
- OpenAlex
- W1971415551
- Cited by
- 6,176
- References
- 29
- Citations by year
- 2026: 125 · 2025: 214 · 2024: 347 · 2023: 364 · 2022: 437 · 2021: 478 · 2020: 554 · 2019: 488 · 2018: 440 · 2017: 437 · 2016: 400 · 2015: 346 · 2014: 321 · 2013: 282 · 2012: 242
- FWCI
- 26.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of General Medical Sciences (T32GM008759, T32GM142607)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK007130, DK070977, R01DK070977, T32DK007130)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- obesity, gut microbiota, cecal microbiota, ob/ob mice, leptin deficiency, 16S rRNA gene sequences, Firmicutes, Bacteroidetes, microbial community composition, microbial diversity, energy balance
- MeSH terms
- Cyanobacteria, Animals, Bacteria, Base Sequence, DNA, Female, Genes, Bacterial, Humans, Intestines, Mice, Inbred C57BL, Mice, Obese, Molecular Sequence Data, Obesity, Pregnancy, RNA, Ribosomal, 16S, Ecosystem, Mice
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