Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome
Open accessPublished version of a preprint
Abstract
The levels of the thousands of metabolites in the human plasma metabolome are strongly influenced by an individual’s genetics and the composition of their diet and gut microbiome. Here, by assessing 1,183 plasma metabolites in 1,368 extensively phenotyped individuals from the Lifelines DEEP and Genome of the Netherlands cohorts, we quantified the proportion of inter-individual variation in the plasma metabolome explained by different factors, characterizing 610, 85 and 38 metabolites as dominantly associated with diet, the gut microbiome and genetics, respectively. Moreover, a diet quality score derived from metabolite levels was significantly associated with diet quality, as assessed by a detailed food frequency questionnaire. Through Mendelian randomization and mediation analyses, we revealed putative causal relationships between diet, the gut microbiome and metabolites. For example, Mendelian randomization analyses support a potential causal effect of Eubacterium rectale in decreasing plasma levels of hydrogen sulfite—a toxin that affects cardiovascular function. Lastly, based on analysis of the plasma metabolome of 311 individuals at two time points separated by 4 years, we observed a positive correlation between the stability of metabolite levels and the amount of variance in the levels of that metabolite that could be explained in our analysis. Altogether, characterization of factors that explain inter-individual variation in the plasma metabolome can help design approaches for modulating diet or the gut microbiome to shape a healthy metabolome.
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?
The human gut microbiome is a major determinant of plasma metabolome, potentially playing a more dominant role than genetics.
“The rationale is further supported by several studies that demonstrated that the human gut microbiome is a major determinant of plasma metabolome, potentially playing a more dominant role than genetics.26–28”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [26]
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
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
Regularization and Variable Selection Via the Elastic Net
Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957 · see citing works
Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816 · see citing works
The MR-Base platform supports systematic causal inference across the human phenome
Hemani, G., Zheng, J., Elsworth, B., Wade, K. H., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., et al. (2018) · eLife · doi:10.7554/elife.34408 · Cited by 7,959 · see citing works
UniProt: a hub for protein information
The UniProt Consortium (2015) · Nucleic Acids Research · doi:10.1093/nar/gku989 · Cited by 5,106 · see citing works
Next-generation genotype imputation service and methods
Das, S., Forer, L., Schönherr, S., Sidore, C., Locke, A. E., Kwong, A., Vrieze, S. I., Chew, E. Y., Levy, S., McGue, M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3656 · Cited by 4,190 · see citing works
Functional mapping and annotation of genetic associations with FUMA
Watanabe, K., Taskesen, E., van Bochoven, A., & Posthuma, D. (2017) · Nature Communications · doi:10.1038/s41467-017-01261-5 · Cited by 4,083 · see citing works
The Statistical Analysis of Compositional Data
Aitchison, J. (1982) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1982.tb01195.x · Cited by 3,457 · see citing works
HMDB 4.0: the human metabolome database for 2018
Wishart, D. S., Feunang, Y. D., Marcu, A., Guo, A. C., Liang, K., Vázquez-Fresno, R., Sajed, T., Johnson, D., Li, C., Karu, N., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1089 · Cited by 3,438 · see citing works
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395 · see citing works
A reference panel of 64,976 haplotypes for genotype imputation
the Haplotype Reference Consortium (2016) · Nature Genetics · doi:10.1038/ng.3643 · Cited by 2,836 · see citing works
Update of the Healthy Eating Index: HEI-2015
Krebs‐Smith, S. M., Pannucci, T. E., Subar, A. F., Kirkpatrick, S. I., Lerman, J., Tooze, J. A., Wilson, M. M., & Reedy, J. (2018) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2018.05.021 · Cited by 2,303 · see citing works
Intestinal Short Chain Fatty Acids and their Link with Diet and Human Health
Ríos-Covián, D., Ruas‐Madiedo, P., Margollés, A., Gueimonde, M., Reyes‐Gavilán, C. G. D. L., & Salazar, N. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00185 · Cited by 2,215 · see citing works
MetaPhlAn2 for enhanced metagenomic taxonomic profiling
Truong, D. T., Franzosa, E. A., Tickle, T. L., Scholz, M., Weingart, G., Pasolli, E., Tett, A., Huttenhower, C., & Segata, N. (2015) · Nature Methods · doi:10.1038/nmeth.3589 · Cited by 2,185 · see citing works
<i>SLCO1B1</i> Variants and Statin-Induced Myopathy — A Genomewide Study
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801936 · Cited by 2,043 · see citing works
Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
Zhernakova, A., Kurilshikov, A., Bonder, M. J., Tigchelaar, E. F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A. V., Falony, G., Vieira-Silva, S., et al. (2016) · Science · doi:10.1126/science.aad3369 · Cited by 1,914 · see citing works
Self-citationA framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
Bowden, J., Del Greco M, F., Minelli, C., Davey Smith, G., Sheehan, N., & Thompson, J. (2017) · Statistics in Medicine · doi:10.1002/sim.7221 · Cited by 1,887 · see citing works
Species-level functional profiling of metagenomes and metatranscriptomes
Franzosa, E. A., McIver, L. J., Rahnavard, G., Thompson, L. R., Schirmer, M., Weingart, G., Lipson, K. S., Knight, R., Caporaso, J. G., Segata, N., et al. (2018) · Nature Methods · doi:10.1038/s41592-018-0176-y · Cited by 1,693 · see citing works
Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases
Sanna, S., van Zuydam, N. R., Mahajan, A., Kurilshikov, A., Vich Vila, A., Võsa, U., Mujagic, Z., Masclee, A. A. M., Jonkers, D. M. A. E., Oosting, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0350-x · Cited by 1,539 · see citing works
Self-citationAn atlas of genetic influences on human blood metabolites
The Multiple Tissue Human Expression Resource (MuTHER) Consortium, Shin, S.-Y., Fauman, E. B., Petersen, A.-K., Krumsiek, J., Santos, R., Huang, J., Arnold, M., Erte, I., Forgetta, V., et al. (2014) · Nature Genetics · doi:10.1038/ng.2982 · Cited by 1,515 · see citing works
Self-citationWendel‐Vos, W. (2003) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(03)00220-8 · Cited by 1,407 · see citing works
Potential of fecal microbiota for early-stage detection of colorectal cancer
Zeller, G., Tap, J., Voigt, A. Y., Sunagawa, S., Kultima, J. R., Costea, P. I., Amiot, A., Böhm, J., Brunetti, F., Habermann, N., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145645 · Cited by 1,375 · see citing works
Proton pump inhibitors affect the gut microbiome
Imhann, F., Bonder, M. J., Vich Vila, A., Fu, J., Mujagic, Z., Vork, L., Tigchelaar, E. F., Jankipersadsing, S. A., Cenit, M. C., Harmsen, H. J. M., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-310376 · Cited by 1,371 · see citing works
Self-citationHuman metabolic individuality in biomedical and pharmaceutical research
CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature · doi:10.1038/nature10354 · Cited by 1,017 · see citing works
Asnicar, F., Berry, S. E., Valdes, A. M., Nguyen, L. H., Piccinno, G., Drew, D. A., Leeming, E., Gibson, R., Le Roy, C., Khatib, H. A., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-01183-8 · Cited by 995 · see citing works
Normal and Pathologic Concentrations of Uremic Toxins
Duranton, F., Cohen, G., Smet, R. D., Rodríguez, M., Jankowski, J., Vanholder, R. C., & Argilés, À. (2012) · Journal of the American Society of Nephrology · doi:10.1681/asn.2011121175 · Cited by 965 · see citing works
Scaling read aligners to hundreds of threads on general-purpose processors
Langmead, B., Wilks, C., Antonescu, V., & Charles, R. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty648 · Cited by 921 · see citing works
The MetaCyc database of metabolic pathways and enzymes
Caspi, R., Billington, R., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Midford, P. E., Ong, Q., Ong, W. K., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx935 · Cited by 903 · see citing works
Interplay between the human gut microbiome and host metabolism
Visconti, A., Le Roy, C. I., Rosa, F., Rossi, N., Martin, T. C., Mohney, R. P., Li, W., de Rinaldis, E., Bell, J. T., Venter, J. C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12476-z · Cited by 782 · see citing works
γ-Tocopherol, the major form of vitamin E in the US diet, deserves more attention
Jiang, Q., Christen, S., Shigenaga, M. K., & Ames, B. N. (2001) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/74.6.714 · Cited by 776 · see citing works
Environmental factors shaping the gut microbiome in a Dutch population
Gacesa, R., Kurilshikov, A., Vich Vila, A., Sinha, T., Klaassen, M. A. Y., Bolte, L. A., Andreu-Sánchez, S., Chen, L., Collij, V., Hu, S., et al. (2022) · Nature · doi:10.1038/s41586-022-04567-7 · Cited by 735 · see citing works
Self-citationFrancioli, L. C., Menelaou, A., Pulit, S. L., Elbers, C. C., Kloosterman, W. P., van Setten, J., Nijman, I. J., Renkens, I., de Bakker, P. I. W., van Dijk, F., et al. (2014) · Nature Genetics · doi:10.1038/ng.3021 · Cited by 642 · see citing works
Self-citationVich Vila, A., Imhann, F., Collij, V., Jankipersadsing, S. A., Gurry, T., Mujagic, Z., Kurilshikov, A., Bonder, M. J., Jiang, X., Tigchelaar, E. F., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aap8914 · Cited by 587 · see citing works
Self-citationHolland, I. B., & Blight, M. A. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.2993 · Cited by 579 · see citing works
Gut microbiota derived metabolites in cardiovascular health and disease
Wang, Z., & Zhao, Y. (2018) · Protein & Cell · doi:10.1007/s13238-018-0549-0 · Cited by 475 · see citing works
A reference map of potential determinants for the human serum metabolome
Bar, N., Korem, T., Weissbrod, O., Zeevi, D., Rothschild, D., Leviatan, S., Kosower, N., Lotan‐Pompan, M., Weinberger, A., Roy, C. I. L., et al. (2020) · Nature · doi:10.1038/s41586-020-2896-2 · Cited by 440 · see citing works
Fuhrer, T., Heer, D., Begemann, B., & Zamboni, N. (2011) · Analytical Chemistry · doi:10.1021/ac201267k · Cited by 419 · see citing works
Structural variation in the gut microbiome associates with host health
Zeevi, D., Korem, T., Godneva, A., Bar, N., Kurilshikov, A., Lotan-Pompan, M., Weinberger, A., Fu, J., Wijmenga, C., Zhernakova, A., et al. (2019) · Nature · doi:10.1038/s41586-019-1065-y · Cited by 351 · see citing works
Self-citationThe Long-Term Genetic Stability and Individual Specificity of the Human Gut Microbiome
Chen, L., Wang, D., Garmaeva, S., Kurilshikov, A., Vila, A. V., Gaćeša, R., Sinha, T., Study, L. C., Segal, E., Weersma, R. K., et al. (2020) · Cell · doi:10.1016/j.cell.2021.03.024 · Cited by 337 · see citing works
Self-citationFehrmann, R. S. N., Jansen, R. C., Veldink, J. H., Westra, H.-J., Arends, D., Bonder, M. J., Fu, J., Deelen, P., Groen, H. J. M., Smolonska, A., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002197 · Cited by 330 · see citing works
Self-citationThe use of two-sample methods for Mendelian randomization analyses on single large datasets
Minelli, C., Fabiola Del Greco, M., van der Plaat, D. A., Bowden, J., Sheehan, N. A., & Thompson, J. R. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyab084 · Cited by 328 · see citing works
Pallister, T., Jackson, M. A., Martin, T. C., Zierer, J., Jennings, A., Mohney, R. P., MacGregor, A. J., Steves, C. J., Cassidy, A., Spector, T. D., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13722-4 · Cited by 315 · see citing works
Mediterranean diet and longevity
Trichopoulou, A., & Vasilopoulou, E. (2000) · British Journal Of Nutrition · doi:10.1079/096582197388554 · Cited by 284 · see citing works
Bacterial Na <sup>+</sup> -translocating ferredoxin:NAD <sup>+</sup> oxidoreductase
Biegel, E., & Müller, V. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010318107 · Cited by 262 · see citing works
Tigchelaar, E. F., Zhernakova, A., Dekens, J. A. M., Hermes, G. D. A., Baranska, A., Mujagic, Z., Swertz, M. A., Contreras, A. M. M., Deelen, P., Cénit, M. C., et al. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-006772 · Cited by 248 · see citing works
Self-citationThe Genome of the Netherlands: design, and project goals
Boomsma, D. I., Wijmenga, C., Slagboom, P. E., Swertz, M. A., Karssen, L. C., Abdellaoui, A., Ye, K., Guryev, V., Vermaat, M., van Dijk, F., et al. (2013) · European Journal of Human Genetics · doi:10.1038/ejhg.2013.118 · Cited by 245 · see citing works
Self-citationKhalili, H., Håkansson, N., Chan, S. S. M., Chen, Y., Lochhead, P. J., Ludvigsson, J. F., Chan, A. T., Hart, A. R., Olén, O., & Wolk, A. (2020) · Gut · doi:10.1136/gutjnl-2019-319505 · Cited by 236 · see citing works
Kurilshikov, A., van den Munckhof, I. C. L., Chen, L., Bonder, M. J., Schraa, K., Rutten, J. H. W., Riksen, N. P., de Graaf, J., Oosting, M., Sanna, S., et al. (2019) · Circulation Research · doi:10.1161/circresaha.118.314642 · Cited by 178 · see citing works
Self-citationGut microbial co-abundance networks show specificity in inflammatory bowel disease and obesity
Chen, L., Collij, V., Jaeger, M., van den Munckhof, I., Vila, A. V., Kurilshikov, A., Gaćeša, R., Sinha, T., Oosting, M., Joosten, L. A. B., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17840-y · Cited by 154 · see citing works
Self-citationHydrogen sulfide in pharmacology and medicine – An update
Bełtowski, J. (2015) · Pharmacological Reports · doi:10.1016/j.pharep.2015.01.005 · Cited by 148 · see citing works
GCKD Investigators, Schlosser, P., Li, Y., Sekula, P., Raffler, J., Grundner-Culemann, F., Pietzner, M., Cheng, Y., Wuttke, M., Steinbrenner, I., et al. (2020) · Nature Genetics · doi:10.1038/s41588-019-0567-8 · Cited by 134 · see citing works
Zheng, D.-C., Liu, Z., Zhou, Y. L., Hou, N., Yan, W., Qin, Y. H., Ye, Q., Cheng, X., Xiao, Q., Bao, Y., et al. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.104655 · Cited by 130 · see citing works
Vinke, P. C., Corpeleijn, E., Dekker, L. H., Jacobs, D. R., Navis, G. J., & Kromhout, D. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0205-z · Cited by 118 · see citing works
Karcher, N., Pasolli, E., Asnicar, F., Huang, K. D., Tett, A., Manara, S., Armanini, F., Bain, D., Duncan, S. H., Louis, P., et al. (2020) · Genome Biology · doi:10.1186/s13059-020-02042-y · Cited by 116 · see citing works
Genomewide landscape of gene–metabolome associations in Escherichia coli
Fuhrer, T., Zampieri, M., Sévin, D. C., Sauer, U., & Zamboni, N. (2017) · Molecular Systems Biology · doi:10.15252/msb.20167150 · Cited by 114 · see citing works
Analysis of Multiple Metabolites of Tocopherols and Tocotrienols in Mice and Humans
Zhao, Y., Lee, M., Cheung, C., Ju, J.-H., Chen, Y., Ba, L., Hu, L., & Yang, C. S. (2010) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf904464u · Cited by 102 · see citing works
study, L. C., Zhernakova, D. V., Le, T. H., Kurilshikov, A., Atanasovska, B., Bonder, M. J., Sanna, S., Claringbould, A., Võsa, U., Deelen, P., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0224-7 · Cited by 94 · see citing works
Self-citationWang, D., Doestzada, M., Chen, L., Andreu‐Sánchez, S., van den Munckhof, I., Augustijn, H. E., Koehorst, M., Ruiz-Moreno, A. J., Bloks, V. W., Riksen, N. P., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.11.003 · Cited by 94 · see citing works
Self-citationChen, L., van den Munckhof, I., Schraa, K., ter Horst, R., Koehorst, M., van Faassen, M. H. J. R., van der Ley, C., Doestzada, M., Zhernakova, D. V., Kurilshikov, A., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108212 · Cited by 93 · see citing works
Self-citationLee, H. H., & Ho, R. H. (2016) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.13207 · Cited by 91 · see citing works
Hameed, A. S. S., Rawat, P. S., Meng, X., & Liu, W. (2020) · Biotechnology Advances · doi:10.1016/j.biotechadv.2020.107576 · Cited by 88 · see citing works
The importance of cohort studies in the post-GWAS era
Wijmenga, C., & Zhernakova, A. (2018) · Nature Genetics · doi:10.1038/s41588-018-0066-3 · Cited by 72 · see citing works
Self-citationSelinski, S., Blaszkewicz, M., Ickstadt, K., Hengstler, J. G., & Golka, K. (2013) · Archives of Toxicology · doi:10.1007/s00204-013-1157-7 · Cited by 67 · see citing works
Levin, J., Bötzel, K., Giese, A., Vogeser, M., & Lorenzl, S. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000314841 · Cited by 52 · see citing works
Razavi, A. C., Bazzano, L., He, J., Fernandez, C., Whelton, S. P., Krousel-Wood, M. A., Li, S., Nierenberg, J. L., Shi, M., Li, C., et al. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.119.015118 · Cited by 51 · see citing works
Ohtomo, Y., Fujinaga, S., Takada, M., et al. (2005) · Pediatric Nephrology · doi:10.1007/s00467-005-2025-3 · Cited by 41 · see citing works
Influence of Coffee Intake on Urinary Hippuric Acid Concentration
Ogawa, M., Suzuki, Y., Endo, Y., Kawamoto, T., & Kayama, F. (2010) · Industrial Health · doi:10.2486/indhealth.ms1164 · Cited by 36 · see citing works
Decoding microbial genomes to understand their functional roles in human complex diseases
Wang, Y., Dong, Q., Hu, S., Zou, H., Wu, T., Shi, J., Zhang, H., Sheng, Y., Sun, W., Kong, X., et al. (2022) · iMeta · doi:10.1002/imt2.14 · Cited by 33 · see citing works
Self-citationMøller, G., Sluik, D., Ritz, C., Mikkilä, V., Raitakari, O. T., Hutri-Kähönen, N., Dragsted, L. O., Larsen, T. M., Poppitt, S. D., Silvestre, M. P., et al. (2017) · Nutrients · doi:10.3390/nu9070763 · Cited by 24 · see citing works
A systematic analysis of metabolic pathways in the human gut microbiotaPreprint
Andreu, V. P., Augustijn, H. E., Chen, L., Zhernakova, A., Fu, J., Fischbach, M. A., Dodd, D., & Medema, M. H. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.25.432841 · Cited by 12 · see citing works
Self-citationYogalingam, G., Muller, V. J., Hopwood, J. J., et al. (1999) · DNA and Cell Biology · doi:10.1089/104454999315402 · Cited by 6 · see citing works
Building a chemical blueprint for human blood
Bradley, P. H., & Pollard, K. S. (2020) · Nature · doi:10.1038/d41586-020-03122-6 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193 · see citing works
Host genetic regulation of human gut microbial structural variation
Zhernakova, D. V., Wang, D., Liu, L., Andreu-Sánchez, S., Zhang, Y., Ruiz-Moreno, A. J., Peng, H., Plomp, N., Del Castillo-Izquierdo, Á., Gacesa, R., et al. (2024) · Nature · doi:10.1038/s41586-023-06893-w · Cited by 174 · see citing works
Self-citationTargeting nonalcoholic fatty liver disease via gut microbiome-centered therapies
Koning, M., Herrema, H., Nieuwdorp, M., & Meijnikman, A. S. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2226922 · Cited by 56 · see citing works
- Authors
- Chen, L., Zhernakova, D. V., Kurilshikov, A., Andreu-Sánchez, S., Wang, D., Augustijn, H. E., Vich Vila, A., Study, L. C., Weersma, R. K., Medema, M. H., Netea, M. G., Kuipers, F., Wijmenga, C., Zhernakova, A., & Fu, J.
- Affiliations
- University Medical Center Groningen (NL)
- Radboud University Medical Center (NL)
- Corresponding author
- Fu, Jingyuan
- ORCID
- Venue
- Nature Medicine
- Published
- 2022-10-10
- Volume
- 28
- Issue
- 11
- Pages
- 2333-2343
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC9671809
- OpenAlex
- W4304084108
- Cited by
- 327
- References
- 73
- Citations by year
- 2026: 85 · 2025: 86 · 2024: 110 · 2023: 43 · 2022: 2
- FWCI
- 19.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Medicine (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- Seerave Foundation (715772, 2018-27, 016.178.056)
- Stichting De Cock-Hadders (20:20-13)
- Noaber Foundation
- National Natural Science Foundation of China (32270077, (2018)27)
- ZonMw (024.003.001, 016.136.308, 833247, 715772, 733050814, 2018-27)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (VIDI 016.178.056, VI.Veni.194.006, 833247, 024.003.001, 194.006, VI.C.202.022, NWO-VIDI 864.13.013, 864.13.013, 024.003, NWO-VIDI016, 016.178.056, 016.Vidi.178.056, 2012-322698, 024.004.017, SPI 92-266, 016.136.308)
- China Scholarship Council (024.004.017, CSC 201708320268, CSC201904910478)
- H2020 European Research Council (101001678)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- plasma metabolome, gut microbiota, diet, interindividual variability, diet quality, Eubacterium rectale, hydrogen sulfide, cardiovascular function, metabolite stability
- MeSH terms
- Gastrointestinal Microbiome, Diet, Feces, Humans, Phenotype, 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
