Sex, body mass index, and dietary fiber intake influence the human gut microbiome
Open accessAbstract
Increasing evidence suggests that the composition of the human gut microbiome is important in the etiology of human diseases; however, the personal factors that influence the gut microbiome composition are poorly characterized. Animal models point to sex hormone-related differentials in microbiome composition. In this study, we investigated the relationship of sex, body mass index (BMI) and dietary fiber intake with the gut microbiome in 82 humans. We sequenced fecal 16S rRNA genes by 454 FLX technology, then clustered and classified the reads to microbial genomes using the QIIME pipeline. Relationships of sex, BMI, and fiber intake with overall gut microbiome composition and specific taxon abundances were assessed by permutational MANOVA and multivariate logistic regression, respectively. We found that sex was associated with the gut microbiome composition overall (p=0.001). The gut microbiome in women was characterized by a lower abundance of Bacteroidetes (p=0.03). BMI (>25 kg/m2 vs. <25 kg/m2) was associated with the gut microbiome composition overall (p=0.05), and this relationship was strong in women (p=0.03) but not in men (p=0.29). Fiber from beans and from fruits and vegetables were associated, respectively, with greater abundance of Actinobacteria (p=0.006 and false discovery rate adjusted q=0.05) and Clostridia (p=0.009 and false discovery rate adjusted q=0.09). Our findings suggest that sex, BMI, and dietary fiber contribute to shaping the gut microbiome in humans. Better understanding of these relationships may have significant implications for gastrointestinal health and disease prevention.
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
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?
Women have increased relative abundance of Firmicutes and lower Bacteroidetes compared to men, and this may be influenced by body mass index.
“Sex associations (Figure 1) with the gut microbiota have been characterized by increased relative abundance of Firmicutes and lower Bacteroidetes in women compared to men and may be further influenced by body mass index13, 14.”
From The gut Microbiome in adult and pediatric functional gastrointestinal disorders (2019) · cites this paper as [13]
The proportion of Firmicutes/Bacteroidetes in lean and obese humans has yielded contradictory results, as well as studies describing gender-related differences in the gut microbiome.
“Furthermore, the proportion of Firmicutes/Bacteroidetes in lean and obese humans has yielded contradictory results, as well as studies describing gender-related differences in the gut microbiome [25, 26].”
From Intestinal Microbiota Is Influenced by Gender and Body Mass Index (2016) · cites this paper as [26]
The latter study also analyzed the gut microbiome according to BMI in women and men separately, but failed to find differences because the cohort had a mean BMI of 25.0±4.06 Kg/m2 and included lean and mostly overweight people, but not obese people.
“The latter study also analyzed the gut microbiome according to BMI in women and men separately, but failed to find differences as the cohort studied had a 25.0±4.06 Kg/m2 (mean±SD) as the mean of BMIand therefore including include lean and mostly overweight people, but not obese people.”
From Intestinal Microbiota Is Influenced by Gender and Body Mass Index (2016) · cites this paper as [26]
A recent study performed by NGS Roche 454 platform showed that women were characterized by a lower abundance of Bacteroidetes.
“However, a recent study performed by NGS (Next Generation Sequencing) Roche 454 platform testing for the global pattern of the bacterial community showed that women was characterized by a lower abundance of Bacteroidetes [26].”
From Intestinal Microbiota Is Influenced by Gender and Body Mass Index (2016) · cites this paper as [26]
Limited food choice is a direct selective pressure on gut microbes because different microbes have preferred substrates; for example, Roseburia and Bacteroides are sensitive to dietary carbohydrate and protein, respectively, and the proportion of Bacteroidetes depends on the type of dietary fiber that reaches the colon.
“Limited food choice is a direct selective pressure as different microbes have their preferred substrates, e.g., Roseburia and Bacteroides are sensitive to dietary carbohydrate and protein, respectively, and the proportion of Bacteroidetes is dependent on the type of dietary fiber that reaches the colon [71,72,73].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
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 · see citing works
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 49,574 · see citing works
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 · see citing works
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 · see citing works
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823 · see citing works
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 · see citing works
Self-citationObesity 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 · see citing works
Willett, W. C. (1998) · doi:10.1093/acprof:oso/9780195122978.001.0001 · Cited by 4,541 · see citing works
FITTING MULTIVARIATE MODELS TO COMMUNITY DATA: A COMMENT ON DISTANCE-BASED REDUNDANCY ANALYSIS
McArdle, B. H., & Anderson, M. J. (2001) · Ecology · doi:10.1890/0012-9658(2001)082[0290:fmmtcd]2.0.co;2 · Cited by 4,001 · see citing works
Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788 · see citing works
Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR ampliconsPreprint
Haas, B. J., Gevers, D., Earl, A. M., Feldgarden, M., Ward, D. V., Giannoukos, G., Ciulla, D., Tabbaa, D., Highlander, S. K., Sodergren, E. J., et al. (2011) · Genome Research · doi:10.1101/gr.112730.110 · Cited by 3,480 · see citing works
Bacterial Community Variation in Human Body Habitats Across Space and Time
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R. (2009) · Science · doi:10.1126/science.1177486 · Cited by 3,231 · see citing works
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 · see citing works
Review article: the role of butyrate on colonic function
HAMER, H. M., JONKERS, D., VENEMA, K., VANHOUTVIN, S., TROOST, F. J., & BRUMMER, R. ‐. (2008) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2007.03562.x · Cited by 2,721 · see citing works
Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment
Morgan, X. C., Tickle, T. L., Sokol, H., Gevers, D., Devaney, K. L., Ward, D. V., Reyes, J. A., Shah, S. A., LeLeiko, N., Snapper, S. B., et al. (2012) · Genome Biology · doi:10.1186/gb-2012-13-9-r79 · Cited by 2,713 · see citing works
Human nutrition, the gut microbiome and the immune system
Kau, A. L., Ahern, P. P., Griffin, N. W., Goodman, A. L., & Gordon, J. I. (2011) · Nature · doi:10.1038/nature10213 · Cited by 2,588 · see citing works
MICROBIAL ECOLOGY OF THE GASTROINTESTINAL TRACT
Savage, D. C. (1977) · Annual Review of Microbiology · doi:10.1146/annurev.mi.31.100177.000543 · Cited by 2,436 · see citing works
Fiber and prebiotics: Mechanisms and health benefits
Slavin, J. (2013) · Nutrients · doi:10.3390/nu5041417 · Cited by 2,340 · see citing works
Louis, P., & Flint, H. J. (2009) · FEMS Microbiology Letters · doi:10.1111/j.1574-6968.2009.01514.x · Cited by 2,179 · see citing works
Sex differences in the gut microbiome drive hormone-dependent regulation of autoimmunity
Markle, J. G. M., Frank, D. N., Mortin-Toth, S., Robertson, C. E., Feazel, L. M., Rolle-Kampczyk, U., von Bergen, M., McCoy, K. D., Macpherson, A. J., & Danska, J. S. (2013) · Science · doi:10.1126/science.1233521 · Cited by 2,025 · see citing works
Genomic analysis identifies association of <i>Fusobacterium</i> with colorectal carcinoma
Kostic, A. D., Gevers, D., Pedamallu, C. S., Michaud, M., Duke, F., Earl, A. M., Ojesina, A. I., Jung, J., Bass, A. J., Tabernero, J., et al. (2012) · Genome Research · doi:10.1101/gr.126573.111 · Cited by 1,960 · see citing works
Dominant and diet-responsive groups of bacteria within the human colonic microbiota
Walker, A. W., Ince, J., Duncan, S. H., Webster, L. M., Holtrop, G., Ze, X., Brown, D., Stares, M. D., Scott, P., Bergerat, A., et al. (2011) · The ISME Journal · doi:10.1038/ismej.2010.118 · Cited by 1,632 · see citing works
Accuracy of body mass index in diagnosing obesity in the adult general population
Romero-Corral, A., Somers, V. K., Sierra-Johnson, J., Thomas, R. J., Collazo-Clavell, M. L., Korinek, J., Allison, T. G., Batsis, J. A., Sert-Kuniyoshi, F. H., & Lopez-Jimenez, F. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.11 · Cited by 1,589 · see citing works
Selective stimulation of bifidobacteria in the human colon by oligofructose and inulin
Gibson, G. R., Beatty, E. R., Wang, X., & Cummings, J. H. (1995) · Gastroenterology · doi:10.1016/0016-5085(95)90192-2 · Cited by 1,529 · see citing works
UniFrac – An online tool for comparing microbial community diversity in a phylogenetic context
Lozupone, C., Hamady, M., & Knight, R. D. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-371 · Cited by 1,454 · see citing works
Gender differences in autoimmune disease
Ngo, S. T., Steyn, F. J., & McCombe, P. A. (2014) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2014.04.004 · Cited by 1,074 · see citing works
Mueller, S., Saunier, K., Hanisch, C., Norin, E., Alm, L., Midtvedt, T., Cresci, A., Silvi, S., Orpianesi, C., Verdenelli, M. C., et al. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.72.2.1027-1033.2006 · Cited by 1,006 · see citing works
Human Gut Microbiome and Risk for Colorectal Cancer
Ahn, J., Sinha, R., Pei, Z., Dominianni, C., Wu, J., Shi, J., Goedert, J. J., Hayes, R. B., & Yang, L. (2013) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djt300 · Cited by 947 · see citing works
Self-citationGender Bias in Autoimmunity Is Influenced by Microbiota
Yurkovetskiy, L., Burrows, M. P., Khan, A. A., Graham, L., Volchkov, P., Becker, L., Antonopoulos, D. A., Umesaki, Y., & Chervonsky, A. V. (2013) · Immunity · doi:10.1016/j.immuni.2013.08.013 · Cited by 912 · see citing works
Microbial Dysbiosis in Colorectal Cancer (CRC) Patients
Sobhani, I., Tap, J., Roudot‐Thoraval, F., Roperch, J. P., Letulle, S., Langella, P., Corthier, G., Nhieu, J. T. V., & Furet, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016393 · Cited by 842 · see citing works
The role of pH in determining the species composition of the human colonic microbiota
Duncan, S. H., Louis, P., Thomson, J. M., & Flint, H. J. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.01931.x · Cited by 786 · see citing works
Using QIIME to Analyze 16S rRNA Gene Sequences from Microbial Communities
Kuczynski, J., Stombaugh, J., Walters, W. A., González, A., Caporaso, J. G., & Knight, R. D. (2011) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1007s36 · Cited by 730 · see citing works
Obesity in autoimmune diseases: Not a passive bystander
Versini, M., Jeandel, P.-Y., Rosenthal, E., & Shoenfeld, Y. (2014) · Autoimmunity Reviews · doi:10.1016/j.autrev.2014.07.001 · Cited by 694 · see citing works
Martínez, I., Kim, J., Duffy, P. R., Schlegel, V. L., & Walter, J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015046 · Cited by 645 · see citing works
Flores, R., Shi, J., Fuhrman, B., Xu, X., Veenstra, T. D., Gail, M. H., Gajer, P., Ravel, J., & Goedert, J. J. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-253 · Cited by 615 · see citing works
Self-citationDesign of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome
Nossa, C. W. (2010) · World Journal of Gastroenterology · doi:10.3748/wjg.v16.i33.4135 · Cited by 580 · see citing works
Obesity and cancer risk: evidence, mechanisms, and recommendations
Vučenik, I., & Stains, J. P. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06750.x · Cited by 574 · see citing works
Bouhnik, Y., Raskine, L., Simoneau, G., Vicaut, É., Neut, C., Flourié, B., Brouns, F. J. P. H., & Bornet, F. R. J. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.6.1658 · Cited by 402 · see citing works
Variability of gastrointestinal transit in healthy women and men.
Degen, L. P., & Phillips, S. F. (1996) · Gut · doi:10.1136/gut.39.2.299 · Cited by 339 · see citing works
Chen, H.-M., Yu, Y.-N., Wang, J.-L., Lin, Y.-W., Kong, X., Yang, C.-Q., Yang, L., Liu, Z.-J., Yuan, Y.-Z., Liu, F., et al. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.046607 · Cited by 321 · see citing works
Self-citationSubar, A. F. (2000) · American Journal of Epidemiology · doi:10.1093/aje/152.3.279 · Cited by 304 · see citing works
Hooda, S., Boler, B. M. V., Serao, M. C. R., Brulc, J. M., Staeger, M. A., Boileau, T. W., Dowd, S. E., Fahey, G. C., & Swanson, K. S. (2012) · The Journal of Nutrition · doi:10.3945/jn.112.158766 · Cited by 272 · see citing works
Up-regulating the Human Intestinal Microbiome Using Whole Plant Foods, Polyphenols, and/or Fiber
Tuohy, K. M., Conterno, L., Gasperotti, M., & Viola, R. (2012) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf2053959 · Cited by 270 · see citing works
Gastrointestinal microbiota in irritable bowel syndrome: present state and perspectives
Salonen, A., de Vos, W. M., & Palva, A. (2010) · Microbiology · doi:10.1099/mic.0.043257-0 · Cited by 264 · see citing works
Aromatase, breast cancer and obesity: a complex interaction
Bulun, S. E., Chen, D., Moy, I., Brooks, D. C., & Zhao, H. (2012) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2011.10.003 · Cited by 224 · see citing works
Increasing butyrate concentration in the distal colon by accelerating intestinal transit
Lewis, S. J., & Heaton, K. W. (1997) · Gut · doi:10.1136/gut.41.2.245 · Cited by 213 · see citing works
Benus, R. F. J., van der Werf, T. S., Welling, G. W., Judd, P. A., Taylor, M. A., Harmsen, H. J. M., & Whelan, K. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510001030 · Cited by 210 · see citing works
Effect of daily fiber intake on reproductive function: the BioCycle Study
Gaskins, A. J., Mumford, S. L., Zhang, C., Wactawski‐Wende, J., Hovey, K. M. O., Whitcomb, B. W., Howards, P. P., Perkins, N. J., Yeung, E. H., & Schisterman, E. F. (2009) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.27990 · Cited by 137 · see citing works
Sex differences in colonic function: a randomised trial.
Lampe, J. W., Fredstrom, S. B., Slavin, J. L., & Potter, J. D. (1993) · Gut · doi:10.1136/gut.34.4.531 · Cited by 131 · see citing works
Whelan, K., Judd, P. A., Preedy, V. R., Simmering, R., Jann, A., & Taylor, M. A. (2005) · The Journal of Nutrition · doi:10.1093/jn/135.8.1896 · Cited by 118 · see citing works
Some determinants of whole-gut transit time: a population-based study
Probert, C. S., Emmett, P. M., & Heaton, K. W. (1995) · QJM · doi:10.1093/oxfordjournals.qjmed.a069070 · Cited by 78 · see citing works
Beyond genetics. Influence of dietary factors and gut microbiota on type 1 diabetes
Nielsen, D. S., Krych, Ł., Buschard, K., Hansen, C. H. F., & Hansen, A. K. (2014) · FEBS Letters · doi:10.1016/j.febslet.2014.04.010 · Cited by 76 · see citing works
Yadav, B. S., Sharma, A., & Yadav, R. B. (2009) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637480902970975 · Cited by 67 · see citing works
Case-control study of colorectal cancer and fecapentaene excretion.
SCHIFFMAN, M. H., Tassell, R. L. V., Robinson, A., Smith, L., Daniel, J., Hoover, R., Weil, R., Rosenthal, J. F., Nair, P. P., & Schwartz, S. (1989) · PubMed · Cited by 36 · see citing works
Case-control study of colorectal cancer and fecal mutagenicity.
SCHIFFMAN, M. H., Andrews, A. W., Tassell, R. L. V., Smith, L., Daniel, J., Robinson, A., Hoover, R. N., Rosenthal, J. F., Weil, R., & Nair, P. P. (1989) · PubMed · Cited by 28 · see citing works
LANDA-HABANA, L., PI�A-HERN�NDEZ, A., Agama‐Acevedo, E., et al. (2004) · Plant Foods for Human Nutrition · doi:10.1007/s11130-004-4307-5 · Cited by 27 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Stipanuk M, Caudill MA. Biochemical, Physiological, and Molecular Aspects of Human Nutrition. 3rd ed: Elsevier Saunders; 2013.
Cited by
Sorted by citations
Sex differences in immune responses
Klein, S. L., & Flanagan, K. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.90 · Cited by 6,370 · see citing works
Intestinal Microbiota Is Influenced by Gender and Body Mass Index
Haro, C., Rangel-Zúñiga, O. A., Alcalá-Díaz, J. F., Gómez-Delgado, F., Pérez-Martínez, P., Delgado-Lista, J., Quintana-Navarro, G. M., Landa, B. B., Navas-Cortés, J. A., Tena-Sempere, M., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154090 · Cited by 671 · see citing works
“Notably, previous estimations of the proportion of Firmicutes/Bacteroidetes in lean and obese humans have yielded contradictory results.”
MethodResultInfluentialSex differences in gut microbiota
Kim, Y. S., Unno, T., Kim, B.-Y., & Park, M.-S. (2020) · The World Journal of Men s Health · doi:10.5534/wjmh.190009 · Cited by 610 · see citing works
Sex and Gender Differences in the Outcomes of Vaccination over the Life Course
Flanagan, K. L., Fink, A. L., Plebanski, M., & Klein, S. L. (2017) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100616-060718 · Cited by 508 · see citing works
Microbiome and Anticancer Immunosurveillance
Zitvogel, L., Ayyoub, M., Routy, B., & Kroemer, G. (2016) · Cell · doi:10.1016/j.cell.2016.03.001 · Cited by 478 · see citing works
The role of inflammation and the gut microbiome in depression and anxiety
Peirce, J. M., & Alviña, K. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24476 · Cited by 466 · see citing works
Serum level of sex steroid hormone is associated with diversity and profiles of human gut microbiome
Shin, J.-H., Park, Y.-H., Sim, M., Kim, S.-A., Joung, H., & Shin, D.-M. (2019) · Research in Microbiology · doi:10.1016/j.resmic.2019.03.003 · Cited by 334 · see citing works
Gut microbiota changes in the extreme decades of human life: a focus on centenarians
Santoro, A., Ostan, R., Candela, M., Biagi, E., Brigidi, P., Capri, M., & Franceschi, C. (2018) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2674-y · Cited by 250 · see citing works
Analysis of 1135 gut metagenomes identifies sex-specific resistome profiles
Sinha, T., Vich Vila, A., Garmaeva, S., Jankipersadsing, S. A., Imhann, F., Collij, V., Bonder, M. J., Jiang, X., Gurry, T., Alm, E. J., et al. (2019) · Gut Microbes · doi:10.1080/19490976.2018.1528822 · Cited by 208 · see citing works
Sex, microbes, and polycystic ovary syndrome
Thackray, V. G. (2019) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2018.11.001 · Cited by 203 · see citing works
You’ve got male: Sex and the microbiota-gut-brain axis across the lifespan
Jaggar, M., Rea, K., Spichak, S., Dinan, T. G., & Cryan, J. F. (2020) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2019.100815 · Cited by 200 · see citing works
Kaczmarek, J. L., Musaad, S. M., & Holscher, H. D. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.156380 · Cited by 200 · see citing works
Steroids, stress and the gut microbiome-brain axis
Tetel, M. J., de Vries, G. J., Melcangi, R. C., Panzica, G., & O'Mahony, S. M. (2018) · Journal of Neuroendocrinology · doi:10.1111/jne.12548 · Cited by 187 · see citing works
The gut Microbiome in adult and pediatric functional gastrointestinal disorders
Shin, A., Preidis, G. A., Shulman, R., & Kashyap, P. C. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.08.054 · Cited by 163 · see citing works
Haro, C., García‐Carpintero, S., Rangel‐Zúñiga, O. A., Alcalá‐Díaz, J. F., Landa, B. B., Clemente, J. C., Pérez‐Martínez, P., López‐Miranda, J., Pérez‐Jiménez, F., & Camargo, A. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201700300 · Cited by 149 · see citing works
Sex-Specific Gene Expression and Life Span Regulation
Tower, J. (2017) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2017.07.002 · Cited by 118 · see citing works
Association of dietary fibre intake and gut microbiota in adults
Lin, D., Peters, B. A., Friedlander, C., Freiman, H. J., Goedert, J. J., Sinha, R., Miller, G., Bernstein, M. A., Hayes, R. B., & Ahn, J. (2018) · British Journal of Nutrition · doi:10.1017/s0007114518002465 · Cited by 109 · see citing works
Self-citationIbáñez, L., Rouleau, M., Wakkach, A., & Blin-Wakkach, C. (2019) · Joint Bone Spine · doi:10.1016/j.jbspin.2018.02.008 · Cited by 103 · see citing works
Monk, J. M., Lepp, D., Wu, W., Pauls, K. P., Robinson, L. E., & Power, K. A. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.08.002 · Cited by 85 · see citing works
Lam, Y., Maguire, S., Palacios, T., & Caterson, I. (2017) · Nutrients · doi:10.3390/nu9060602 · Cited by 86 · see citing works
Ejtahed, H.-S., Tito, R. Y., Siadat, S.-D., Hasani-Ranjbar, S., Hoseini-Tavassol, Z., Rymenans, L., Verbeke, K., Soroush, A.-R., Raes, J., & Larijani, B. (2019) · European Journal of Endocrinology · doi:10.1530/eje-18-0826 · Cited by 63 · see citing works
Berding, K., Holscher, H. D., Arthur, A. E., & Donovan, S. M. (2018) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2018.01.002 · Cited by 61 · see citing works
Sadohara, R., Cichy, K., Thompson, H., Uebersax, M. A., Siddiq, M., & Wiesinger, J. (2026) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2025.2538544 · Cited by 13 · see citing works
- Authors
- Dominianni, C., Sinha, R., Goedert, J. J., Pei, Z., Yang, L., Hayes, R. B., & Ahn, J.
- Affiliations
- New York University (US)
- National Institutes of Health (US)
- NYU Langone’s Laura and Isaac Perlmutter Cancer Center (US)
- Corresponding author
- Dominianni, Christine
- Sinha, Rashmi
- Goedert, James J.
- Pei, Zhiheng
- Yang, Liying
- Hayes, Richard B.
- Ahn, Jiyoung
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-04-15
- Volume
- 10
- Issue
- 4
- Pages
- e0124599
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4398427
- OpenAlex
- W2057632593
- Cited by
- 468
- References
- 57
- Citations by year
- 2026: 20 · 2025: 42 · 2024: 54 · 2023: 61 · 2022: 48 · 2021: 50 · 2020: 55 · 2019: 40 · 2018: 43 · 2017: 33 · 2016: 18 · 2015: 4
- FWCI
- 14.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/publicdomain/zero/1.0/ (vor)
- Locations
- PLoS ONE (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Veterans Affairs
- Office of Research and Development
- National Institutes of Health
- National Cancer Institute (R01CA159036, R21CA183887, R03CA159414, R01CA164964, P30CA016087, UH3CA140233)
- 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 › Gastrointestinal motility and disorders
- Keywords
- gut microbiota, sex differences, body mass index, dietary fiber, Bacteroidetes, actinobacteria, Clostridia, beans, fruits and vegetables, microbiota composition
- MeSH terms
- Gastrointestinal Microbiome, Aged, Animals, Clostridium, Dietary Fiber, Feces, Female, Fruit, Genes, Bacterial, Humans, Male, Middle Aged, RNA, Ribosomal, 16S, Sex Factors, Vegetables, Body Mass Index, Logistic Models, Actinobacteria, Bacteroidetes, 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