Dietary intake influences gut microbiota development of healthy Australian children from the age of one to two years
Open accessAbstract
Early life nutrition is a vital determinant of an individual's life-long health and also directly influences the ecological and functional development of the gut microbiota. However, there are limited longitudinal studies examining the effect of diet on the gut microbiota development in early childhood. Here, up to seven stool samples were collected from each of 48 healthy children during their second year of life, and microbiota dynamics were assessed using 16S rRNA gene amplicon sequencing. Children's dietary information was also collected during the same period using a validated food frequency questionnaire designed for this age group, over five time points. We observed significant changes in gut microbiota community, concordant with changes in the children's dietary pattern over the 12-month period. In particular, we found differential effects on specific Firmicutes-affiliated lineages in response to frequent intake of either processed or unprocessed foods. Additionally, the consumption of fortified milk supplemented with a Bifidobacterium probiotic and prebiotics (synbiotics) further increased the presence of Bifidobacterium spp., highlighting the potential use of synbiotics to prolong and sustain changes in these lineages and shaping the gut microbiota community in young children.
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?
Members of the Lachnospiraceae family, Ruminococcus, and Bacteroides were negatively associated with processed food groups, whereas Lachnospiraceae (Fusicatenibacter saccharivorans), Blautia, and Clostridium were positively associated with processed food consumption in children.
“For example, members of the Lachnospiraceae family (related to Clostridium clostridioforme, C. bolteae, C. celerecrescens, or C. sphenoides), Ruminococcus, and Bacteroides were negatively associated with processed food groups (e.g., processed meat and savory snacks), whereas Lachnospiraceae (Fusicatenibacter saccharivorans), Blautia, and Clostridium were positively associated with processed food”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [210]
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
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669 · see citing works
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Kumar, S., Stecher, G., & Tamura, K. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw054 · Cited by 43,923 · see citing works
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887 · see citing works
Kimura, M. (1980) · Journal of Molecular Evolution · doi:10.1007/bf01731581 · Cited by 29,778 · see citing works
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 · see citing works
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
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923 · see citing works
Klindworth, A., Pruesse, E., Schweer, T., Peplies, J., Quast, C., Horn, M., & Glöckner, F. O. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks808 · Cited by 8,850 · see citing works
Diversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533 · see citing works
mixOmics: An R package for ‘omics feature selection and multiple data integration
Rohart, F., Gautier, B., Singh, A., & Lê Cao, K.-A. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005752 · Cited by 4,056 · see citing works
Factor analysis in the development and refinement of clinical assessment instruments.
Floyd, F. J., & Widaman, K. F. (1995) · Psychological Assessment · doi:10.1037/1040-3590.7.3.286 · Cited by 3,970 · see citing works
Evolution of mammals and their gut microbes
Ley, R. E., Hamady, M., Lozupone, C., Turnbaugh, P. J., Ramey, R. R., Bircher, J. S., Schlegel, M. L., Tucker, T. A., Schrenzel, M. D., Knight, R., et al. (2008) · Science · doi:10.1126/science.1155725 · Cited by 3,747 · see citing works
PyNAST: a flexible tool for aligning sequences to a template alignment
Caporaso, J. G., Bittinger, K. L., Bushman, F. D., DeSantis, T. Z., Andersen, G. L., & Knight, R. D. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp636 · Cited by 3,374 · see citing works
Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life
Bäckhed, F., Roswall, J., Peng, Y., Feng, Q., Jia, H., Kovatcheva-Datchary, P., Li, Y., Xia, Y., Xie, H., Zhong, H., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.04.004 · Cited by 3,315 · see citing works
Succession of microbial consortia in the developing infant gut microbiome
Koenig, J. E., Spor, A., Scalfone, N., Fricker, A. D., Stombaugh, J., Knight, R., Angenent, L. T., & Ley, R. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000081107 · Cited by 2,540 · see citing works
The role of the gut microbiota in nutrition and health
Flint, H. J., Scott, K. P., Louis, P., & Duncan, S. H. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.156 · Cited by 2,203 · see citing works
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 · see citing works
Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome
Chassaing, B., Koren, O., Goodrich, J. K., Poole, A. C., Srinivasan, S., Ley, R. E., & Gewirtz, A. T. (2015) · Nature · doi:10.1038/nature14232 · Cited by 2,055 · see citing works
Temporal development of the gut microbiome in early childhood from the TEDDY study
Stewart, C. J., Ajami, N. J., O’Brien, J. L., Hutchinson, D. S., Smith, D. P., Wong, M. C., Ross, M. C., Lloyd, R. E., Doddapaneni, H., Metcalf, G., et al. (2018) · Nature · doi:10.1038/s41586-018-0617-x · Cited by 1,996 · see citing works
Improved extraction of PCR-quality community DNA from digesta and fecal samples
Yu, Z., & Morrison, M. D. (2004) · BioTechniques · doi:10.2144/04365st04 · Cited by 1,668 · see citing works
Self-citationDietary assessment methods in epidemiologic studies
Shim, J., Oh, K., & Kim, H. C. (2014) · Epidemiology and Health · doi:10.4178/epih/e2014009 · Cited by 1,556 · see citing works
Antibiotics, birth mode, and diet shape microbiome maturation during early life
Bokulich, N. A., Chung, J., Battaglia, T., Henderson, N., Jay, M., Li, H., D. Lieber, A., Wu, F., Perez-Perez, G. I., Chen, Y., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad7121 · Cited by 1,469 · see citing works
Error filtering, pair assembly and error correction for next-generation sequencing reads
Edgar, R. C., & Flyvbjerg, H. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv401 · Cited by 1,278 · see citing works
Persistent gut microbiota immaturity in malnourished Bangladeshi children
Subramanian, S., Huq, S., Yatsunenko, T., Haque, R., Mahfuz, M., Alam, M. A., Benezra, A., DeStefano, J., Meier, M. F., Muegge, B. D., et al. (2014) · Nature · doi:10.1038/nature13421 · Cited by 1,270 · see citing works
Faecalibacterium prausnitzii and human intestinal health
Miquel, S., Martín, R., Rossi, O., Bermúdez‐Humarán, L. G., Chatel, J., Sokol, H., Thomas, M., Wells, J. M., & Langella, P. (2013) · Current Opinion in Microbiology · doi:10.1016/j.mib.2013.06.003 · Cited by 1,239 · see citing works
Being big or growing fast: systematic review of size and growth in infancy and later obesity
Baird, J., Fisher, D., Lucas, P., Kleijnen, J., Roberts, H., & Law, C. (2005) · BMJ · doi:10.1136/bmj.38586.411273.e0 · Cited by 1,185 · see citing works
Adams, J. B., Johansen, L. J., Powell, L. D., Quig, D., & Rubin, R. A. (2011) · BMC Gastroenterology · doi:10.1186/1471-230x-11-22 · Cited by 1,076 · see citing works
The resilience of the intestinal microbiota influences health and disease
Sommer, F., Anderson, J. M., Bharti, R., Raes, J., & Rosenstiel, P. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.58 · Cited by 1,058 · see citing works
Early differences in fecal microbiota composition in children may predict overweight
Kalliomäki, M. A., Collado, M. C., Salminen, S., & Isolauri, E. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.3.534 · Cited by 1,056 · see citing works
The influence of diet on the gut microbiota
Scott, K. P., Gratz, S. W., Sheridan, P. O., Flint, H. J., & Duncan, S. H. (2013) · Pharmacological Research · doi:10.1016/j.phrs.2012.10.020 · Cited by 1,052 · see citing works
Yassour, M., Vatanen, T., Siljander, H., Hämäläinen, A.-M., Härkönen, T., Ryhänen, S. J., Franzosa, E. A., Vlamakis, H., Huttenhower, C., Gevers, D., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad0917 · Cited by 1,043 · see citing works
Cao, K. L., Boitard, S., & Besse, P. C. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-253 · Cited by 998 · see citing works
Self-citationPyrosequencing study of fecal microflora of autistic and control children
Finegold, S. M., Dowd, S. E., Gontcharova, V., Liu, C., Henley, K. E., Wolcott, R. D., Youn, E., Summanen, P. H., Granpeesheh, D., Dixon, D., et al. (2010) · Anaerobe · doi:10.1016/j.anaerobe.2010.06.008 · Cited by 977 · see citing works
Gut microbiota of healthy Canadian infants: profiles by mode of delivery and infant diet at 4 months
Azad, M. B., Konya, T., Maughan, H., Guttman, D. S., Field, C. J., Chari, R. S., Sears, M. R., Becker, A. B., Scott, J. A., & Kozyrskyj, A. L. (2013) · Canadian Medical Association Journal · doi:10.1503/cmaj.121189 · Cited by 953 · see citing works
Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women
Collado, M. C., Isolauri, E., Laitinen, K., & Salminen, S. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.4.894 · Cited by 863 · see citing works
Low gut microbiota diversity in early infancy precedes asthma at school age
Abrahamsson, T. R., Jakobsson, H. E., Andersson, A. F., Björkstén, B., Engstrand, L., & Jenmalm, M. C. (2014) · Clinical & Experimental Allergy · doi:10.1111/cea.12253 · Cited by 750 · see citing works
Gut bacteria that prevent growth impairments transmitted by microbiota from malnourished children
Blanton, L. V., Charbonneau, M. R., Salih, T., Barratt, M. J., Venkatesh, S., Ilkaveya, O., Subramanian, S., Manary, M. J., Trehan, I., Jorgensen, J. M., et al. (2016) · Science · doi:10.1126/science.aad3311 · Cited by 735 · see citing works
Cospeciation of gut microbiota with hominids
Moeller, A. H., Caro‐Quintero, A., Mjungu, D. C., Georgiev, A. V., Lonsdorf, E. V., Muller, M. N., Pusey, A. E., Peeters, M., Hahn, B. H., & Ochman, H. (2016) · Science · doi:10.1126/science.aaf3951 · Cited by 570 · see citing works
Calypso: a user-friendly web-server for mining and visualizing microbiome–environment interactions
Zakrzewski, M., Proietti, C., Ellis, J. J., Hasan, S., Brion, M., Berger, B. W., & Krause, L. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw725 · Cited by 568 · see citing works
A Sparse PLS for Variable Selection when Integrating Omics Data
Cao, K. L., Rossouw, D., Robert-Granié, C., & Besse, P. C. (2008) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1390 · Cited by 567 · see citing works
Self-citationReal-Time PCR Quantitation of Clostridia in Feces of Autistic Children
Song, Y., Liu, C., & Finegold, S. M. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.11.6459-6465.2004 · Cited by 556 · see citing works
Arslanoğlu, S., Moro, G. E., Schmitt, J., Tandoi, L., Rizzardi, S., & Boehm, G. (2008) · Journal of Nutrition · doi:10.1093/jn/138.6.1091 · Cited by 515 · see citing works
Challenges in recruitment of research participants
Patel, M. X., Doku, V. C. K., & Tennakoon, L. (2003) · Advances in Psychiatric Treatment · doi:10.1192/apt.9.3.229 · Cited by 474 · see citing works
Matsuki, T., Watanabe, K., Tanaka, R., Fukuda, M., & Oyaizu, H. (1999) · Applied and Environmental Microbiology · doi:10.1128/aem.65.10.4506-4512.1999 · Cited by 457 · see citing works
The role of the intestinal microbiota in the development of atopic disorders
Penders, J., Stobberingh, E. E., van den Brandt, P. A., & Thijs, C. T. (2007) · Allergy · doi:10.1111/j.1398-9995.2007.01462.x · Cited by 435 · see citing works
Fallani, M., Amarri, S., Uusijärvi, A., Adam, R., Khanna, S., Aguilera, J., Gil, Á., Vieites, J. M., Norin, E. L., Young, D., et al. (2011) · Microbiology · doi:10.1099/mic.0.042143-0 · Cited by 393 · see citing works
A healthy gastrointestinal microbiome is dependent on dietary diversity
Heiman, M. L., & Greenway, F. L. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.02.005 · Cited by 370 · see citing works
Agans, R., Rigsbee, L., Kenche, H., Michail, S., Khamis, H. J., & Paliy, O. (2011) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.2011.01120.x · Cited by 343 · see citing works
Visualising associations between paired ‘omics’ data sets
González, I., Cao, K. L., Davis, M. J., & Dejean, S. (2012) · BioData Mining · doi:10.1186/1756-0381-5-19 · Cited by 316 · see citing works
Self-citationRoberts, C. L., Keita, Å. V., Duncan, S. H., O’Kennedy, N., Söderholm, J. D., Rhodes, J. M., & Campbell, B. J. (2010) · Gut · doi:10.1136/gut.2009.195370 · Cited by 285 · see citing works
Madan, J. C., Hoen, A. G., Lundgren, S., Farzan, S. F., Cottingham, K. L., Morrison, H. G., Sogin, M. L., Li, H., Moore, J. H., & Karagas, M. R. (2016) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2015.3732 · Cited by 274 · see citing works
Laursen, M. F., Andersen, L. B. B., Michaelsen, K. F., Mølgaard, C., Trolle, E., Bahl, M. I., & Licht, T. R. (2016) · mSphere · doi:10.1128/msphere.00069-15 · Cited by 252 · see citing works
Food Consumption Patterns of Infants and Toddlers: Where Are We Now?
Siega‐Riz, A. M., Deming, D. M., Reidy, K., et al. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2010.09.001 · Cited by 237 · see citing works
Korpela, K., Flint, H. J., Johnstone, A. M., Lappi, J., Poutanen, K. S., Dewulf, E. M., Delzenne, N. M., de Vos, W. M., & Salonen, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090702 · Cited by 228 · see citing works
An exposome perspective: Early-life events and immune development in a changing world
Renz, H., Holt, P. G., Inouye, M., Logan, A. C., Prescott, S. L., & Sly, P. D. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.05.015 · Cited by 226 · see citing works
Laursen, M. F., Bahl, M. I., Michaelsen, K. F., & Licht, T. R. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00356 · Cited by 193 · see citing works
Gut Microbiome: Westernization and the Disappearance of Intestinal Diversity
Segata, N. (2015) · Current Biology · doi:10.1016/j.cub.2015.05.040 · Cited by 183 · see citing works
MixMC: A Multivariate Statistical Framework to Gain Insight into Microbial Communities
Cao, K. L., Costello, M., Lakis, V., Bartolo, F., Chua, X., Brazeilles, R., & Rondeau, P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160169 · Cited by 178 · see citing works
Self-citationAberrant IgA responses to the gut microbiota during infancy precede asthma and allergy development
Dzidic, M., Abrahamsson, T., Artacho, A., Björkstén, B., Collado, M. C., Mira, Á., & Jenmalm, M. C. (2016) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2016.06.047 · Cited by 173 · see citing works
Feeding the microbiota: Transducer of nutrient signals for the host
Shanahan, F., van Sinderen, D., O’Toole, P. W., & Stanton, C. (2017) · Gut · doi:10.1136/gutjnl-2017-313872 · Cited by 157 · see citing works
Vael, C., Verhulst, S. L., Nelen, V., Goossens, H., & Desager, K. (2011) · Gut Pathogens · doi:10.1186/1757-4749-3-8 · Cited by 154 · see citing works
Nylund, L., Satokari, R. M., Nikkilä, J., Rajilić-Stojanović, M. D., Kalliomäki, M. A., Isolauri, E., Salminen, S., & de Vos, W. M. (2013) · BMC Microbiology · doi:10.1186/1471-2180-13-12 · Cited by 152 · see citing works
Fusicatenibacter saccharivorans gen. nov., sp. nov., isolated from human faeces
Takada, T., Kurakawa, T., Tsuji, H., & Nomoto, K. (2013) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijs.0.045823-0 · Cited by 130 · see citing works
Investigation of the Evolutionary Development of the Genus Bifidobacterium by Comparative Genomics
Lugli, G. A., Milani, C., Turroni, F., Duranti, S., Ferrario, C., Viappiani, A., Mancabelli, L., Mangifesta, M., Taminiau, B., Delcenserie, V., et al. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.02004-14 · Cited by 127 · see citing works
Arslanoğlu, S., Moro, G. E., Boehm, G., Wienz, F., Stahl, B., & Bertino, E. (2012) · PubMed · Cited by 115 · see citing works
Roger, L. C., & McCartney, A. L. (2010) · Microbiology · doi:10.1099/mic.0.041913-0 · Cited by 115 · see citing works
Luoto, R., Kalliomäki, M. A., Laitinen, K., Delzenne, N. M., Cani, P. D., Salminen, S., & Isolauri, E. (2010) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e3181f3457f · Cited by 110 · see citing works
Contribution of Food Additives to Sodium and Phosphorus Content of Diets Rich in Processed Foods
Carrigan, A. K., Klinger, A. P., Choquette, S. S., et al. (2013) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2013.09.003 · Cited by 105 · see citing works
New Insights into the Diversity of the Genus Faecalibacterium
Benevides, L., Burman, S., Martin, R., Robert, V., Thomas, M., Miquel, S., Chain, F., Sokol, H., Bermudez-Humaran, L. G., Morrison, M., et al. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01790 · Cited by 86 · see citing works
Self-citationFan, W., Huo, G., Li, X., Yang, L., Duan, C., Wang, T., & Chen, J. (2013) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-013-1404-3 · Cited by 81 · see citing works
Bell, L., Golley, R. K., Daniels, L., & Magarey, A. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.23 · Cited by 70 · see citing works
Mills, V. C., Skidmore, P. M. L., Watson, E. O., Taylor, R. W., Fleming, E., & Heath, A. M. (2014) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2014.09.016 · Cited by 37 · see citing works
Dietary patterns among a national sample of British children aged 1½ – 4½; years
Pryer, J. A., & Rogers, S. I. (2009) · Public Health Nutrition · doi:10.1017/s1368980008003364 · Cited by 35 · see citing works
Breastfeeding: a key modulator of gut microbiota characteristics in late infancy
Matsuyama, M., Gomez-Arango, L. F., Fukuma, N. M., Morrison, M., Davies, P. S. W., & Hill, R. J. (2019) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174418000624 · Cited by 22 · see citing works
Self-citationBifidobacterium for Infants: Essence and Efficacy
Lau, A. S.-Y., Xiao, J., & Liong, M. (2015) · Microbiology monographs · doi:10.1007/978-3-319-23213-3_3 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [58]Lau, A. S., Xiao, J. Z. & Liong, M. T. In Beneficial Microorganisms in Medical and Health Applications 39–72 (Springer, 2015).
Cited by
Sorted by citations
Diet 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 · see citing works
You Are What You Eat—The Relationship between Diet, Microbiota, and Metabolic Disorders—A Review
Moszak, M., Szulińska, M., & Bogdański, P. (2020) · Nutrients · doi:10.3390/nu12041096 · Cited by 397 · see citing works
- Authors
- Matsuyama, M., Morrison, M., Cao, K.-A. L., Pruilh, S., Davies, P. S. W., Wall, C., Lovell, A., & Hill, R. J.
- Affiliations
- The University of Queensland (AU)
- Translational Research Institute (AU)
- The University of Melbourne (AU)
- University of Auckland (NZ)
- Corresponding author
- Matsuyama, Misa
- ORCID
- Venue
- Scientific Reports
- Published
- 2019-08-28
- Volume
- 9
- Issue
- 1
- Pages
- 12476-12476
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6713781
- OpenAlex
- W2970081753
- Cited by
- 52
- References
- 76
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 9 · 2023: 6 · 2022: 9 · 2021: 9 · 2020: 7
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- ResearchSpace (University of Auckland) (submittedVersion, cc-by)
- Funders
- Australian Government
- University of Queensland
- Medical Research Council
- National Health and Medical Research Council (1087415)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Keywords
- gut microbiota development, early childhood nutrition, dietary intake, processed foods, unprocessed foods, Firmicutes, Bifidobacterium, synbiotics, probiotics, prebiotics, fortified milk, food frequency questionnaire, microbial community dynamics
- MeSH terms
- Bacillota, Gastrointestinal Microbiome, Bifidobacterium, Child Development, Child, Preschool, Female, Humans, Infant, Male, Probiotics, Synbiotics
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
