Impact of Dietary Resistant Starch on the Human Gut Microbiome, Metaproteome, and Metabolome
Open accessAbstract
Diet can influence the composition of the human microbiome, and yet relatively few dietary ingredients have been systematically investigated with respect to their impact on the functional potential of the microbiome. Dietary resistant starch (RS) has been shown to have health benefits, but we lack a mechanistic understanding of the metabolic processes that occur in the gut during digestion of RS. Here, we collected samples during a dietary crossover study with diets containing large or small amounts of RS. We determined the impact of RS on the gut microbiome and metabolic pathways in the gut, using a combination of “omics” approaches, including 16S rRNA gene sequencing, metaproteomics, and metabolomics. This multiomics approach captured changes in the abundance of specific bacterial species, proteins, and metabolites after a diet high in resistant starch (HRS), providing key insights into the influence of dietary interventions on the gut microbiome. The combined data showed that a high-RS diet caused an increase in the ratio of Firmicutes to Bacteroidetes, including increases in relative abundances of some specific members of the Firmicutes and concurrent increases in enzymatic pathways and metabolites involved in lipid metabolism in the gut. IMPORTANCE This work was undertaken to obtain a mechanistic understanding of the complex interplay between diet and the microorganisms residing in the intestine. Although it is known that gut microbes play a key role in digestion of the food that we consume, the specific contributions of different microorganisms are not well understood. In addition, the metabolic pathways and resultant products of metabolism during digestion are highly complex. To address these knowledge gaps, we used a combination of molecular approaches to determine the identities of the microorganisms in the gut during digestion of dietary starch as well as the metabolic pathways that they carry out. Together, these data provide a more complete picture of the function of the gut microbiome in digestion, including links between an RS diet and lipid metabolism and novel linkages between specific gut microbes and their metabolites and proteins produced in the gut.
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?
Diets high in MACs alter microbiota composition in humans within days or weeks.
“Diets high in MACs alter microbiota composition in humans within days or weeks (10, 11).”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [11]
The sympathetic and parasympathetic systems can influence ENS neurocircuitry, resulting in changes in motility which can affect the rate of delivery of pre and pro-biotics to the small intestine and colon, including resistant starches and dietary fibers, and other critical microbial nutrients.
“The sympathetic and parasympathetic systems can influence ENS neurocircuitry, resulting in changes in motility which can affect the rate of delivery of pre and pro-biotics to the small intestine and colon, including resistant starches and dietary fibers, and other critical microbial nutrients (Maier et al., 2017).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Maier et al., 2017
A randomized study of 39 individuals found that a high resistant starch diet results in a significant increase in the Firmicutes:Bacteroidetes ratio, along with an increase in the overall relative abundance of Firmicutes, alongside an increase in enzymatic pathways and metabolites associated with lipid metabolism in the gut.
“A randomized study of 39 individuals found that a high resistant starch diet resulted in a significant increase in the Firmicutes:Bacteroidetes, along with an increase in the overall relative abundance of Firmicutes, alongside an increase in enzymatic pathways and metabolites associated with lipid metabolism in the gut (Maier et al., 2017).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Maier et al., 2017
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
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077 · 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
Self-citationKEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232 · see citing works
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data
McMurdie, P. J., & Holmes, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061217 · Cited by 21,013 · see citing works
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726 · see citing works
Self-citationGlobal patterns of 16S rRNA diversity at a depth of millions of sequences per sample
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C., Turnbaugh, P. J., Fierer, N., & Knight, R. D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000080107 · Cited by 9,633 · see citing works
Self-citationKEGG: new perspectives on genomes, pathways, diseases and drugs
Kanehisa, M., Furumichi, M., Tanabe, M., Sato, Y., & Morishima, K. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1092 · Cited by 8,865 · see citing works
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839 · see citing works
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 · see citing works
Self-citationA metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762 · see citing works
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484 · see citing works
KEGG for integration and interpretation of large-scale molecular data sets
Kanehisa, M., Goto, S., Sato, Y., Furumichi, M., & Tanabe, M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr988 · Cited by 4,848 · see citing works
Sokol, H., Pigneur, B., Watterlot, L., Lakhdari, O., Bermúdez-Humarán, L. G., Gratadoux, J.-J., Blugeon, S., Bridonneau, C., Furet, J.-P., Corthier, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804812105 · Cited by 4,413 · see citing works
HMDB: the Human Metabolome Database
Wishart, D. S., Tzur, D., Knox, C., Eisner, R., Guo, A. C., Young, N., Cheng, D., Jewell, K., Arndt, D., Sawhney, S., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkl923 · Cited by 3,219 · see citing works
Microbial degradation of complex carbohydrates in the gut
Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P., & Forano, E. (2012) · Gut Microbes · doi:10.4161/gmic.19897 · Cited by 2,331 · see citing works
Butyrate improves insulin sensitivity and increases energy expenditure in mice
Gao, Z., Yin, J., Zhang, J., Ward, R. E., Martin, R. J., Lefevre, M., Cefalu, W. T., & Ye, J. (2009) · Diabetes · doi:10.2337/db08-1637 · Cited by 2,204 · 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
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
Faith, J. J., Hayete, B., Thaden, J. T., Mogno, I., Wierzbowski, J., Cottarel, G., Kasif, S., Collins, J. J., & Gardner, T. S. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050008 · Cited by 1,563 · see citing works
Tabb, D. L., McDonald, W. H., & Yates, J. R. (2002) · Journal of Proteome Research · doi:10.1021/pr015504q · Cited by 1,369 · see citing works
Tree visualization with tree-maps
Shneiderman, B. (1992) · ACM Transactions on Graphics · doi:10.1145/102377.115768 · Cited by 1,333 · 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
Ze, X., Duncan, S. H., Louis, P., & Flint, H. J. (2012) · The ISME Journal · doi:10.1038/ismej.2012.4 · Cited by 1,060 · 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
Belenguer, A., Duncan, S. H., Calder, A. G., Holtrop, G., Louis, P., Lobley, G. E., & Flint, H. J. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.72.5.3593-3599.2006 · Cited by 856 · see citing works
Louis, P., Young, P., Holtrop, G., & Flint, H. J. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.02066.x · Cited by 783 · see citing works
The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)
Pohlert, T. (2016) · Cited by 692 · 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
Scalbert, A., Brennan, L., Fiehn, O., Hankemeier, T., Kristal, B. S., van Ommen, B., Pujos-Guillot, E., Verheij, E., Wishart, D., & Wopereis, S. (2009) · Metabolomics · doi:10.1007/s11306-009-0168-0 · Cited by 565 · see citing works
Shotgun metaproteomics of the human distal gut microbiota
VerBerkmoes, N. C., Russell, A. L., Shah, M. B., Godzik, A., Rosenquist, M., Halfvarson, J., Lefsrud, M. G., Apajalahti, J., Tysk, C., Hettich, R. L., et al. (2008) · The ISME Journal · doi:10.1038/ismej.2008.108 · Cited by 544 · see citing works
Self-citationMetabolomics Reveals Metabolic Biomarkers of Crohn's Disease
Jansson, J. K., Willing, B. P., Lucio, M., Fekete, A., Dicksved, J., Halfvarson, J., Tysk, C., & Schmitt‐Kopplin, P. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006386 · Cited by 512 · see citing works
Self-citationRobertson, M. D., Bickerton, A. S. T., Dennis, A., Vidal, H., & Frayn, K. N. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn.82.3.559 · Cited by 503 · see citing works
Robertson, M. D., Bickerton, A. S., Dennis, A. L., Vidal, H., & Frayn, K. N. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.3.559 · Cited by 501 · see citing works
PMCMR: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Pohlert, T. (2014) · doi:10.32614/cran.package.pmcmr · Cited by 419 · see citing works
Integrated Metagenomics/Metaproteomics Reveals Human Host-Microbiota Signatures of Crohn's Disease
Erickson, A. R., Cantarel, B. L., Lamendella, R., Darzi, Y., Mongodin, E. F., Pan, C., Shah, M., Halfvarson, J., Tysk, C., Henrissat, B., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049138 · Cited by 395 · see citing works
Self-citationHaenen, D., Zhang, J., Souza da Silva, C., Bosch, G., van der Meer, I. M., van Arkel, J., van den Borne, J. J. G. C., Pérez Gutiérrez, O., Smidt, H., Kemp, B., et al. (2013) · The Journal of Nutrition · doi:10.3945/jn.112.169672 · Cited by 341 · see citing works
Khan, M. T., Duncan, S. H., Stams, A. J. M., van Dijl, J. M., Flint, H. J., & Harmsen, H. J. M. (2012) · The ISME Journal · doi:10.1038/ismej.2012.5 · Cited by 339 · see citing works
Interactively exploring hierarchical clustering results [gene identification]
Seo, J., & Shneiderman, B. (2002) · Computer · doi:10.1109/mc.2002.1016905 · Cited by 326 · see citing works
Miquel, S., Leclerc, M., Martín, R., Chain, F., Lenoir, M., Raguideau, S., Hudault, S., Bridonneau, C., Northen, T. R., Bowen, B. P., et al. (2015) · mBio · doi:10.1128/mbio.00300-15 · Cited by 320 · see citing works
Resistant starch: the effect on postprandial glycemia, hormonal response, and satiety
Raben, A., Tagliabue, A., Christensen, N., Madsen, J., Holst, J. J., & Astrup, A. V. (1994) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/60.4.544 · Cited by 307 · see citing works
Impact of dietary resistant starch type 4 on human gut microbiota and immunometabolic functions
Upadhyaya, B., McCormack, L. A., Fardin‐Kia, A. R., Juenemann, R. M., Nichenametla, S. N., Clapper, J. A., SPECKER, B. L., & Dey, M. (2016) · Scientific Reports · doi:10.1038/srep28797 · Cited by 221 · see citing works
Tziotis, D., Hertkorn, N., & Schmitt‐Kopplin, P. (2011) · European Journal of Mass Spectrometry · doi:10.1255/ejms.1135 · Cited by 208 · see citing works
Self-citationMassTRIX: mass translator into pathways
Suhre, K., & Schmitt‐Kopplin, P. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn194 · Cited by 203 · see citing works
Self-citationDealing with the unknown: Metabolomics and Metabolite Atlases
Bowen, B. P., & Northen, T. R. (2010) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2010.04.003 · Cited by 194 · see citing works
Systems-wide temporal proteomic profiling in glucose-starved Bacillus subtilis
Otto, A., Bernhardt, J., Meyer, H., Schaffer, M., Herbst, F., Siebourg‐Polster, J., Mäder, U., Lalk, M., Hecker, M., & Becher, D. (2010) · Nature Communications · doi:10.1038/ncomms1137 · Cited by 182 · see citing works
Self-citationPlasma glucose and insulin reduction after consumption of breads varying in amylose content
Behall, K., & Hallfrisch, J. (2002) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601411 · Cited by 156 · see citing works
Molecular details of a starch utilization pathway in the human gut symbiont E ubacterium rectale
Cockburn, D. W., Orlovsky, N. I., Foley, M. H., Kwiatkowski, K. J., Bahr, C. M. E., Maynard, M. A., Demeler, B., & Koropatkin, N. M. (2014) · Molecular Microbiology · doi:10.1111/mmi.12859 · Cited by 120 · see citing works
Bergeron, N., Williams, P. T., Lamendella, R., Faghihnia, N., Grube, A., Li, X., Wang, Z., Knight, R. D., Jansson, J. K., Hazen, S. L., et al. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516004165 · Cited by 101 · see citing works
Self-citationMassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data
Wägele, B., Witting, M. A., Schmitt‐Kopplin, P., & Suhre, K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039860 · Cited by 91 · see citing works
Self-citationCell-associated α-amylases of butyrate-producing Firmicute bacteria from the human colon
Ramsay, A. G., Scott, K. P., Martin, J. C., Rincón, M. T., & Flint, H. J. (2006) · Microbiology · doi:10.1099/mic.0.29233-0 · Cited by 90 · see citing works
Sands, A. L., Leidy, H. J., Hamaker, B. R., Maguire, P., & Campbell, W. W. (2009) · Nutrition Research · doi:10.1016/j.nutres.2009.05.009 · Cited by 68 · see citing works
Balzer, M., & Deußen, O. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2005.1532128 · Cited by 59 · see citing works
Visualizing Gene Expression Data via Voronoi Treemaps
Bernhardt, J., Funke, S., Hecker, M., & Siebourg‐Polster, J. (2009) · International Symposium on Voronoi Diagrams in Science and Engineering · doi:10.1109/isvd.2009.33 · Cited by 57 · see citing works
Self-citationWitting, M. A., Maier, T. V., Garvis, S., & Schmitt‐Kopplin, P. (2014) · Journal of Chromatography A · doi:10.1016/j.chroma.2014.07.021 · Cited by 48 · see citing works
Self-citationIdentification and Validation of Ifit1 as an Important Innate Immune Bottleneck
McDermott, J., Vartanian, K. B., Mitchell, H. D., Stevens, S. L., Sanfilippo, A. P., & Stenzel‐Poore, M. P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036465 · Cited by 47 · see citing works
Self-citationChiu, S., Williams, P. T., Dawson, T., Bergman, R. N., Stefanovski, D., Watkins, S. M., & Krauss, R. M. (2014) · Journal of Nutrition · doi:10.3945/jn.114.197624 · Cited by 44 · see citing works
Self-citationHydrolytic action of α-amylase on high-amylose starch of low molecular mass
Rendleman, J. A. (2000) · Biotechnology and Applied Biochemistry · doi:10.1042/ba19990100 · Cited by 35 · see citing works
Colonization State Influences the Hemocyte Proteome in a Beneficial Squid–Vibrio Symbiosis
Schleicher, T. R., VerBerkmoes, N. C., Shah, M. B., & Nyholm, S. V. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.037259 · Cited by 27 · see citing works
Self-citationData visualization in environmental proteomics
Mehlan, H., Schmidt, F., Weiß, S., Schüler, J. B., Fuchs, S., Riedel, K., & Bernhardt, J. (2013) · PROTEOMICS · doi:10.1002/pmic.201300167 · Cited by 20 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286 · see citing works
Microbiota in health and diseases
Hou, K., Wu, Z.-X., Chen, X.-Y., Wang, J.-Q., Zhang, D., Xiao, C., Zhu, D., Koya, J. B., Wei, L., Li, J., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00974-4 · Cited by 3,171 · see citing works
Current understanding of the human microbiome
Gilbert, J. A., Blaser, M. J., Caporaso, J. G., Jansson, J. K., Lynch, S. V., & Knight, R. (2018) · Nature Medicine · doi:10.1038/nm.4517 · Cited by 2,609 · see citing works
Self-citationThe gut microbiota at the intersection of diet and human health
Gentile, C. L., & Weir, T. L. (2018) · Science · doi:10.1126/science.aau5812 · Cited by 1,049 · see citing works
Daily sampling reveals personalized diet-microbiome associations in humans
Johnson, A. J., Vangay, P., Al-Ghalith, G. A., Hillmann, B. M., Ward, T. L., Shields-Cutler, R. R., Kim, A. D., Shmagel, A. K., Syed, A. N., Walter, J., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.05.005 · Cited by 742 · see citing works
Gut microbiota modulation: a novel strategy for prevention and treatment of colorectal cancer
Fong, W., Li, Q., & Yu, J. Q. (2020) · Oncogene · doi:10.1038/s41388-020-1341-1 · Cited by 625 · see citing works
Bolte, L. A., Vich Vila, A., Imhann, F., Collij, V., Gacesa, R., Peters, V., Wijmenga, C., Kurilshikov, A., Campmans-Kuijpers, M. J. E., Fu, J., et al. (2021) · Gut · doi:10.1136/gutjnl-2020-322670 · Cited by 595 · see citing works
Health Benefits of Resistant Starch: A Review of the Literature
Bojarczuk, A., Skąpska, S., Mousavi Khaneghah, A., & Marszałek, K. (2022) · Journal of Functional Foods · doi:10.1016/j.jff.2022.105094 · Cited by 372 · see citing works
Resistant starch: impact on the gut microbiome and health
DeMartino, P., & Cockburn, D. W. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2019.10.008 · Cited by 363 · see citing works
Gut microbiome and its role in obesity and insulin resistance
Lee, C. J., Sears, C. L., & Maruthur, N. M. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14107 · Cited by 352 · see citing works
Advancing functional and translational microbiome research using meta-omics approaches
Zhang, X., Li, L., Butcher, J., Stintzi, A., & Figeys, D. (2019) · Microbiome · doi:10.1186/s40168-019-0767-6 · Cited by 343 · see citing works
Lordan, C., Thapa, D., Ross, R. P., & Cotter, P. D. (2020) · Gut Microbes · doi:10.1080/19490976.2019.1613124 · Cited by 289 · see citing works
Mechanisms of Action of Prebiotics and Their Effects on Gastro-Intestinal Disorders in Adults
Guarino, M. P. L., Altomare, A., Emerenziani, S., Rosa, C. D., Ribolsi, M., Balestrieri, P., Iovino, P., Rocchi, G., & Cicala, M. (2020) · Nutrients · doi:10.3390/nu12041037 · Cited by 286 · see citing works
When Rhythms Meet the Blues: Circadian Interactions with the Microbiota-Gut-Brain Axis
Teichman, E. M., O’Riordan, K. J., Gahan, C. G. M., Dinan, T. G., & Cryan, J. F. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.02.008 · Cited by 198 · see citing works
Starch Digestion by Gut Bacteria: Crowdsourcing for Carbs
Cerqueira, F. M., Photenhauer, A. L., Pollet, R. M., Brown, H. A., & Koropatkin, N. M. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2019.09.004 · Cited by 186 · see citing works
Oliver, A., Chase, A. B., Weihe, C., Orchanian, S. B., Riedel, S. F., Hendrickson, C. L., Lay, M., Sewall, J. M., Martiny, J. B. H., & Whiteson, K. (2021) · mSystems · doi:10.1128/msystems.00115-21 · Cited by 171 · see citing works
Microbiome Multi-Omics Network Analysis: Statistical Considerations, Limitations, and Opportunities
Jiang, D., Armour, C. R., Hu, C., Meng, M., Tian, C., Sharpton, T. J., & Jiang, Y. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00995 · Cited by 164 · see citing works
Tang, Z.-Z., Chen, G., Hong, Q., Huang, S., Smith, H., Shah, R. D., Scholz, M. B., & Ferguson, J. F. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00454 · Cited by 170 · see citing works
Plant Prebiotics and Their Role in the Amelioration of Diseases
Kaur, A. P., Bhardwaj, S., Dhanjal, D. S., Nepovimová, E., Martins, N. A., Kuča, K., Chopra, C., Singh, R., Kumar, H., Şen, F., et al. (2021) · Biomolecules · doi:10.3390/biom11030440 · Cited by 169 · see citing works
The Gut Microbiome in Hypertension
Avery, E. G., Bartolomaeus, H., Maifeld, A., Markó, L., Wiig, H., Wilck, N., Rosshart, S. P., Forslund, S. K., & Müller, D. N. (2021) · Circulation Research · doi:10.1161/circresaha.121.318065 · Cited by 174 · see citing works
Tuncel, A., Corbin, K. R., Ahn‐Jarvis, J. H., Harris, S., Hawkins, E., Smedley, M. A., Harwood, W., Warren, F. J., Patron, N. J., & Smith, A. M. (2019) · Plant Biotechnology Journal · doi:10.1111/pbi.13137 · Cited by 164 · see citing works
Resistant starch, microbiome, and precision modulation
Dobranowski, P., & Stintzi, A. P. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1926842 · Cited by 163 · see citing works
Gut Microbiota in Colorectal Cancer: Biological Role and Therapeutic Opportunities
Pandey, H., Tang, D. W. T., Wong, S. H., & Lal, D. (2023) · Cancers · doi:10.3390/cancers15030866 · Cited by 165 · see citing works
The preparation, formation, fermentability, and applications of resistant starch
Jiang, F., Du, C., Jiang, W., Wang, L., & Du, S. (2019) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2019.10.124 · Cited by 154 · see citing works
Djekic, D., Shi, L. S., Brolin, H., Carlsson, F., Särnqvist, C., Savolainen, O. I., Cao, Y., Bäckhed, F., Tremaroli, V., Landberg, R., et al. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.120.016518 · Cited by 153 · see citing works
Structural diversity, functional aspects and future therapeutic applications of human gut microbiome
Ghosh, S., & Pramanik, S. (2021) · Archives of Microbiology · doi:10.1007/s00203-021-02516-y · Cited by 149 · see citing works
Alessandro de, S. I. R. E., de Sire, R., Curci, C., Castiglione, F., & Wahli, W. (2022) · Cells · doi:10.3390/cells11040743 · Cited by 133 · see citing works
Muralitharan, R. R., Jama, H. A., Xie, L., Peh, A., Snelson, M., & Marques, F. Z. (2020) · Hypertension · doi:10.1161/hypertensionaha.120.14473 · Cited by 131 · see citing works
Hypergraph models of biological networks to identify genes critical to pathogenic viral response
Feng, S., Heath, E., Jefferson, B. A., Joslyn, C., Kvinge, H., Mitchell, H. D., Praggastis, B., Eisfeld, A. J., Sims, A. M., Thackray, L. B., et al. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04197-2 · Cited by 128 · see citing works
Self-citationLiu, H., Zhang, M., Ma, Q., Tian, B., Nie, C., Chen, Z., & Li, J. (2020) · Food & Function · doi:10.1039/d0fo00855a · Cited by 123 · see citing works
Quagliariello, A., CHIERICO, F. D., Russo, A., Reddel, S., Conte, G., Lopetuso, L. R., Ianiro, G., Dallapiccola, B., Cardona, F., Gasbarrini, A., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00675 · Cited by 119 · see citing works
Li, Z., Ren, Z., Zhao, L., Chen, L., Yu, Y., Wang, D., Mao, X., Cao, G., Zhao, Z., & Yang, H. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.133959 · Cited by 119 · see citing works
Diet, Sleep, and Mental Health: Insights from the UK Biobank Study
Hepsomali, P., & Groeger, J. A. (2021) · Nutrients · doi:10.3390/nu13082573 · Cited by 121 · see citing works
Conserved and variable responses of the gut microbiome to resistant starch type 2
Bendiks, Z. A., Knudsen, K. E. B., Keenan, M. J., & Marco, M. L. (2020) · Nutrition Research · doi:10.1016/j.nutres.2020.02.009 · Cited by 111 · see citing works
Impact of Individual Traits, Saturated Fat, and Protein Source on the Gut Microbiome
Lang, J. M., Pan, C., Cantor, R. M., Tang, W. H. W., Garcı́a-Garcı́a, J. C., Kurtz, I., Hazen, S. L., Bergeron, N., Krauss, R. M., & Lusis, A. J. (2018) · mBio · doi:10.1128/mbio.01604-18 · Cited by 111 · see citing works
Self-citationKumari, M., Singh, P., Nataraj, B. H., Kokkiligadda, A., Naithani, H., Ali, S. A., Behare, P. V., & Nagpal, R. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110716 · Cited by 107 · see citing works
Li, N., Huang, S., Jiang, L., Wang, W., Li, T., Zuo, B., Li, Z., & Wang, J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01798 · Cited by 107 · see citing works
Baky, M. H., Salah, M., Ezzelarab, N. M., Shao, P., Elshahed, M. S., & Farag, M. A. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2119931 · Cited by 105 · see citing works
Flowers, S. A., Baxter, N. T., Ward, K. M., Kraal, A. Z., McInnis, M. G., Schmidt, T. M., & Ellingrod, V. L. (2019) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1002/phar.2214 · Cited by 100 · see citing works
Earth Microbiome Project and Global Systems Biology
Gilbert, J. A., Jansson, J. K., & Knight, R. D. (2018) · mSystems · doi:10.1128/msystems.00217-17 · Cited by 99 · see citing works
Self-citationMetagenomic Insights into the Degradation of Resistant Starch by Human Gut Microbiota
Vital, M., Howe, A., Bergeron, N., Krauss, R. M., Jansson, J. K., & Tiedje, J. M. (2018) · Applied and Environmental Microbiology · doi:10.1128/aem.01562-18 · Cited by 98 · see citing works
Self-citationPerspective and Guidelines for Metaproteomics in Microbiome Studies
Zhang, X., & Figeys, D. (2019) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00054 · Cited by 97 · see citing works
A major mechanism for immunomodulation: Dietary fibres and acid metabolites
Xie, L., Alam, J., Marques, F. Z., & Mackay, C. R. (2023) · Seminars in Immunology · doi:10.1016/j.smim.2023.101737 · Cited by 97 · see citing works
Resistant starch—An accessible fiber ingredient acceptable to the Western palate
Walsh, S. K., Lucey, A. J., Walter, J., Zannini, E., & Arendt, E. K. (2022) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12955 · Cited by 102 · see citing works
Ye, M., Yu, J., Shi, X., Zhu, J., Gao, X., & Liu, W. Y. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1803198 · Cited by 95 · see citing works
Qin, R., Yu, J., Li, Y., Copeland, L., Wang, S., & Wang, S. (2019) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b06371 · Cited by 94 · see citing works
Zhao, J., Bai, Y., Tao, S., Zhang, G., Wang, J., Liu, L., & Zhang, S. (2019) · Journal of Functional Foods · doi:10.1016/j.jff.2019.04.009 · Cited by 92 · see citing works
Resistant Starch Content in Foods Commonly Consumed in the United States: A Narrative Review
Patterson, M. A., Maiya, M., & Stewart, M. (2020) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2019.10.019 · Cited by 92 · see citing works
Metaproteomics: A strategy to study the taxonomy and functionality of the gut microbiota
Wang, Y., Zhou, Y., Xiao, X., Zheng, J., & Zhou, H. (2020) · Journal of Proteomics · doi:10.1016/j.jprot.2020.103737 · Cited by 90 · see citing works
Park, S., Zhang, T., Wu, X., & Qiu, J. Y. (2020) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.19-87 · Cited by 90 · see citing works
The microbiota-gut-brain axis: Focus on the fundamental communication pathways
Bistoletti, M., Bosi, A., Banfi, D., Giaroni, C., & Baj, A. (2020) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2020.08.012 · Cited by 88 · see citing works
Van-Wehle, T., & Vital, M. (2024) · npj Biofilms and Microbiomes · doi:10.1038/s41522-024-00533-5 · Cited by 88 · see citing works
Snelson, M., Kellow, N. J., & Coughlan, M. T. (2018) · Advances in Nutrition · doi:10.1093/advances/nmy068 · Cited by 87 · see citing works
Resistant starches and gut microbiota
Wen, J.-J., Li, M., Hu, J., Tan, H., & Nie, S. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.132895 · Cited by 86 · see citing works
Hughes, R., Horn, W. H., Finnegan, P., Newman, J. W. I., Marco, M. L., Keim, N. L., & Kable, M. E. (2021) · Nutrients · doi:10.3390/nu13020645 · Cited by 85 · see citing works
Teichmann, J., & Cockburn, D. W. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.640253 · Cited by 84 · see citing works
The Effect of Digestion and Digestibility on Allergenicity of Food
Pali‐Schöll, I., Untersmayr, E., Klems, M., & Jensen‐Jarolim, E. (2018) · Nutrients · doi:10.3390/nu10091129 · Cited by 82 · see citing works
Guo, J., Tan, L., & Kong, L. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1747391 · Cited by 82 · see citing works
Sun, X., Cui, Y., Su, Y., Gao, Z., Diao, X., Li, J., Zhu, X., Li, D., Li, Z., Wang, C., et al. (2021) · mSystems · doi:10.1128/msystems.01374-20 · Cited by 86 · see citing works
How Dietary Fibre, Acting via the Gut Microbiome, Lowers Blood Pressure
Xu, C., & Marques, F. Z. (2022) · Current Hypertension Reports · doi:10.1007/s11906-022-01216-2 · Cited by 75 · see citing works
Implication of Obesity and Gut Microbiome Dysbiosis in the Etiology of Colorectal Cancer
Singh, S., Sharma, P., Sarma, D. K., Kumawat, M., Tiwari, R. R., Verma, V., Nagpal, R., & Kumar, M. (2023) · Cancers · doi:10.3390/cancers15061913 · Cited by 80 · see citing works
Zhang, X., Yang, Y., Su, J., Zheng, X., Wang, C., Chen, S., Liu, J., Lv, Y., Fan, S., Zhao, A., et al. (2020) · GeroScience · doi:10.1007/s11357-020-00188-y · Cited by 70 · see citing works
Maske, B. L., Pereira, G. V. D. M., Vale, A. D. S., Neto, D. P. D. C., Karp, S. G., Viesser, J. A., Lindner, J. D. D., Pagnoncelli, M. G. B., Thomaz‐Soccol, V., & Soccol, C. R. (2021) · Enzyme and Microbial Technology · doi:10.1016/j.enzmictec.2021.109836 · Cited by 70 · see citing works
Metagenomic-based surveillance systems for antibiotic resistance in non-clinical settings
Pillay, S., Calderón-Franco, D., Urhan, A., & Abeel, T. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1066995 · Cited by 71 · see citing works
Noecker, C. A., Chiu, H.-C., McNally, C. P., & Borenstein, E. (2019) · mSystems · doi:10.1128/msystems.00579-19 · Cited by 66 · see citing works
Foodomics for human health: current status and perspectives
Braconi, D., Bernardini, G., Millucci, L., & Santucci, A. (2017) · Expert Review of Proteomics · doi:10.1080/14789450.2018.1421072 · Cited by 67 · see citing works
Metaproteomic and Metabolomic Approaches for Characterizing the Gut Microbiome
Peters, D. L., Wang, W., Zhang, X., Ning, Z., Mayne, J., & Figeys, D. (2019) · PROTEOMICS · doi:10.1002/pmic.201800363 · Cited by 64 · see citing works
Infant Complementary Feeding of Prebiotics for the Microbiome and Immunity
McKeen, S., Young, W., Mullaney, J. A., Fraser, K., McNabb, W. C., & Roy, N. C. (2019) · Nutrients · doi:10.3390/nu11020364 · Cited by 65 · see citing works
Zhou, D., Ma, Z., & Hu, X. (2021) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.0c08197 · Cited by 65 · see citing works
Gough, E. K., Edens, T. J., Geum, H. M., Baharmand, I., Gill, S. K., Robertson, R. C., Mutasa, K., Ntozini, R., Smith, L. E., Chasekwa, B., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103421 · Cited by 65 · see citing works
Zhang, Z., & Bao, J. (2021) · Starch - Stärke · doi:10.1002/star.202100141 · Cited by 64 · see citing works
Wang, S., Dhital, S., Wang, K., Fu, X., Zhang, B., & Huang, Q. (2021) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2021.118003 · Cited by 63 · see citing works
Peng, Q., Zheng, H., Meng, K., Yu, H., Xie, G., Zhang, Y., Yang, X., Chen, J., Xu, Z., Lin, Z., et al. (2022) · LWT · doi:10.1016/j.lwt.2022.113900 · Cited by 63 · see citing works
Deehan, E. C., Antwan, S. A., Witwer, R. S., Guerra, P. G., John, T., & Monheit, L. (2024) · Advances in Nutrition · doi:10.1016/j.advnut.2024.100329 · Cited by 68 · see citing works
Gut microbiota in adolescents and the association with fatty liver: the EPOCH study
Stanislawski, M. A., Lozupone, C., Wagner, B. D., Eggesbø, M. Å., Sontag, M. K., Nusbacher, N. M., Martinez, M., & Dabelea, D. (2018) · Pediatric Research · doi:10.1038/pr.2018.32 · Cited by 60 · see citing works
The potential of outdoor environments to supply beneficial butyrate-producing bacteria to humans
Brame, J. E., Liddicoat, C., Abbott, C. A., & Breed, M. F. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.146063 · Cited by 59 · see citing works
Glowacki, R. W. P., & Martens, E. C. (2020) · Journal of Bacteriology · doi:10.1128/jb.00481-20 · Cited by 58 · see citing works
Whelan, K., Alexander, M., Gaïani, C., Lunken, G., Holmes, A. J., Staudacher, H. M., Theis, S., & Marco, M. L. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01831-6 · Cited by 63 · see citing works
Systematic Review of Beef Protein Effects on Gut Microbiota: Implications for Health
Albracht‐Schulte, K., Islam, T., Johnson, P. M., & Moustaïd‐Moussa, N. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa085 · Cited by 57 · see citing works
A unified conceptual framework for prediction and control of microbiomes
Stegen, J., Bottos, E. M., & Jansson, J. K. (2018) · Current Opinion in Microbiology · doi:10.1016/j.mib.2018.06.002 · Cited by 55 · see citing works
Self-citationTsitko, I. V., Wiik-Miettinen, F., Mattila, O., Rosa‐Sibakov, N., Seppänen‐Laakso, T., Maukonen, J., Nordlund, E., & Saarela, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20081925 · Cited by 57 · see citing works
Ağagündüz, D., Uyar, G. Ö., Bozkurt, B. K., Özturan-Şirin, A., Capasso, R., Al‐Assaf, S., & Özoğul, F. (2023) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2023.109068 · Cited by 57 · see citing works
Dietary resistant starch modifies the composition and function of caecal microbiota of broilers
Zhang, Y., Liu, Y., Li, J., Xing, T., Jiang, Y., Zhang, L., & Gao, F. (2019) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.10139 · Cited by 56 · see citing works
Gut microbiota modulation: a tool for the management of colorectal cancer
Wang, Y., & Li, H. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03378-8 · Cited by 57 · see citing works
Effect of raw potato starch on the gut microbiome and metabolome in mice.
Bang, S., Lee, E.-S., Song, E.-J., Nam, Y., Seo, M.-J., Kim, H.-J., Park, C.-S., Lim, M.-Y., & Seo, D. (2019) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2019.04.085 · Cited by 47 · see citing works
Tannock, G. W., & Liu, Y. (2019) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2019.1657471 · Cited by 52 · see citing works
The Role of Carbohydrate Intake on the Gut Microbiome: A Weight of Evidence Systematic Review
Mora-Flores, L. P., Moreno-Terrazas, R., Fuentes-Cabrera, J., Pérez-Vicente, H. A., de Anda‐Jáuregui, G., & Neri-Torres, E. E. (2023) · Microorganisms · doi:10.3390/microorganisms11071728 · Cited by 51 · see citing works
Yu, M., Li, Z., Chen, W., Rong, T. Z., Wang, G., & Ma, X. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01143 · Cited by 50 · see citing works
Bioactive Compounds from Pigmented Corn (Zea mays L.) and Their Effect on Health
Sánchez-Nuño, Y. A., Zermeño-Ruiz, M., Vázquez-Paulino, O., Nuño, K., & Villarruel‐López, A. (2024) · Biomolecules · doi:10.3390/biom14030338 · Cited by 49 · see citing works
The Potential Utility of Prebiotics to Modulate Alzheimer’s Disease: A Review of the Evidence
Kang, J. W., & Zivkovic, A. M. (2021) · Microorganisms · doi:10.3390/microorganisms9112310 · Cited by 49 · see citing works
Bannitz, R. F., Beraldo, R. A., Peluso, A. A., Dall, M., Babaei, P., Foglietti, R., Martins, L. M., Gomes, P. M., Marchini, J. S., Suen, V. M. M., et al. (2022) · Nutrients · doi:10.3390/nu14132670 · Cited by 47 · see citing works
Ren, W., Yan, H., Yu, B., Walsh, M. C., Yu, J., Zheng, P., Huang, Z., Luo, J., Mao, X., He, J., et al. (2021) · Animal nutrition · doi:10.1016/j.aninu.2020.08.007 · Cited by 46 · see citing works
Cholangiocarcinoma: Recent Advances in Molecular Pathobiology and Therapeutic Approaches
Khosla, D., Misra, S., Chu, P. L., Guan, P., Nada, R., Gupta, R., Kaewnarin, K., Ko, T. K., Heng, H. L., Srinivasalu, V. K., et al. (2024) · Cancers · doi:10.3390/cancers16040801 · Cited by 44 · see citing works
“Several studies in recent years have found that prebiotics increase the abundance of specific probiotics in the gut, particularly beneficial bacteria, such as Lactobacillus, Bifidobacterium, Faecalibacterium, Akkermansia, Ruminococcus, and Rosebura species [184–187].”
BackgroundYadav, H., Jaldhi, Bhardwaj, R., Anamika, A., Bakshi, A., Gupta, S., & Maurya, S. K. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.122022 · Cited by 46 · see citing works
A system biology perspective on environment–host–microbe interactions
Chen, L., Garmaeva, S., Zhernakova, A., Fu, J., & Wijmenga, C. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy137 · Cited by 44 · see citing works
Disseminating Metaproteomic Informatics Capabilities and Knowledge Using the Galaxy-P Framework
Blank, C., Easterly, C., Gruening, B., Johnson, J. E., Kolmeder, C. A., Kumar, P., May, D., Mehta, S., Mesuere, B., Brown, Z., et al. (2018) · Proteomes · doi:10.3390/proteomes6010007 · Cited by 43 · see citing works
Effects of vegetarian diet-associated nutrients on gut microbiota and intestinal physiology
Xiao, W., Zhang, Q., Yu, L., Tian, F., Chen, W., & Zhai, Q. (2021) · Food Science and Human Wellness · doi:10.1016/j.fshw.2021.11.002 · Cited by 46 · see citing works
Ruggles, K. V., Wang, J., Volkova, A., Contreras, M., Noya-Alarcón, Ó., Lander, O., Caballero‐Arias, H., & Domínguez-Bello, M. G. (2018) · mSphere · doi:10.1128/msphere.00193-18 · Cited by 41 · see citing works
Tunçil, Y. E., Thakkar, R., Arıoğlu-Tuncil, S., Hamaker, B. R., & Lindemann, S. R. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b03469 · Cited by 42 · see citing works
MetaLab 2.0 Enables Accurate Post-Translational Modifications Profiling in Metaproteomics
Cheng, K., Ning, Z., Zhang, X., Li, L., Liao, B., Mayne, J., & Figeys, D. (2020) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.0c00083 · Cited by 38 · see citing works
- Authors
- Maier, T. V., Lucio, M., Lee, L. H., VerBerkmoes, N. C., Brislawn, C. J., Bernhardt, J., Lamendella, R., McDermott, J. E., Bergeron, N., Heinzmann, S. S., Morton, J. T., González, A., Ackermann, G., Knight, R., Riedel, K., Krauss, R. M., Schmitt-Kopplin, P., & Jansson, J. K.
- Affiliations
- Helmholtz Munich (DE)
- Brigham and Women's Hospital (US)
- The University of Texas at El Paso (US)
- Pacific Northwest National Laboratory (US)
- Universität Greifswald (DE)
- Juniata College (US)
- Touro University California (US)
- University of California San Diego (US)
- Children’s Hospital Oakland Research Institute, Oakland, California, USA
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, Neuherberg, Germany
- Corresponding author
- Jansson, Janet K.
- ORCID
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2017-11-08
- Volume
- 8
- Issue
- 5
- ISSN
- 2150-7511 (ISSN-L)
- 2161-2129
- PMC
- PMC5646248
- OpenAlex
- W2765206455
- Cited by
- 316
- References
- 61
- Citations by year
- 2026: 18 · 2025: 32 · 2024: 32 · 2023: 33 · 2022: 45 · 2021: 57 · 2020: 39 · 2019: 38 · 2018: 20 · 2017: 1
- FWCI
- 10.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion, cc-by)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Touro Scholar (Touro College) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Site cant be reached (submittedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- Ingredion Incorporated
- HHS | National Institutes of Health (DK086472)
- DOE | Laboratory Directed Research and Development
- General Mills
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
- Keywords
- resistant starch, gut microbiota, metaproteomics, metabolomics, Firmicutes, Bacteroidetes, lipid metabolism, microbial metabolic pathways, diet-microbiome interactions, gut microbiota metabolites
- MeSH terms
- Gastrointestinal Microbiome, Bacteria, Diet, DNA, Bacterial, DNA, Ribosomal, Humans, RNA, Ribosomal, 16S, Starch, Sequence Analysis, DNA, Proteome, Proteomics, Metabolomics, Metabolome, 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
