The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Gut Microbial Associations to Plasma Metabolites Linked to Cardiovascular Phenotypes and Risk: A Cross-Sectional Study
Open accessAbstract
Rationale: Altered gut microbial composition has been linked to cardiovascular diseases (CVDs), but its functional links to host metabolism and immunity in relation to CVD development remain unclear. Objectives: To systematically assess functional links between the microbiome and the plasma metabolome, cardiometabolic phenotypes, and CVD risk and to identify diet-microbe-metabolism-immune interactions in well-documented cohorts. Methods and Results: We assessed metagenomics-based microbial associations between 231 plasma metabolites and microbial species and pathways in the population-based LLD (Lifelines DEEP) cohort (n=978) and a clinical obesity cohort (n=297). After correcting for age, sex, and body mass index, the gut microbiome could explain ≤11.1% and 16.4% of the variation in plasma metabolites in the population-based and obesity cohorts, respectively. Obese-specific microbial associations were found for lipid compositions in the VLDL, IDL, and LDL lipoprotein subclasses. Bacterial L-methionine biosynthesis and a Ruminococcus species were associated to cardiovascular phenotypes in obese individuals, namely atherosclerosis and liver fat content, respectively. Integration of microbiome-diet-inflammation analysis in relation to metabolic risk score of CVD in the population cohort revealed 48 microbial pathways associated to CVD risk that were largely independent of diet and inflammation. Our data also showed that plasma levels rather than fecal levels of short-chain fatty acids were relevant to inflammation and CVD risk. Conclusions: This study presents the largest metagenome-based association study on plasma metabolism and microbiome relevance to diet, inflammation, CVD risk, and cardiometabolic phenotypes in both population-based and clinical obesity cohorts. Our findings identified novel bacterial species and pathways that associated to specific lipoprotein subclasses and revealed functional links between the gut microbiome and host health that provide a basis for developing microbiome-targeted therapy for disease prevention and treatment.
Overview
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
Verification
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?
In the citing paper
“Menaquinol synthesis pathways are enriched in various chronic inflammatory and cardiovascular diseases28–31.”
From Longitudinal gut microbiome changes in immune checkpoint blockade-treated advanced melanoma (2024) · cites this paper as [31]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
A 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
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245
Host-gut microbiota metabolic interactions
Nicholson, J. K., Holmes, E., Kinross, J., Burcelin, R., Gibson, G., Jia, W., & Pettersson, S. (2012) · Science · doi:10.1126/science.1223813 · Cited by 4,760
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
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
Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis
Koeth, R. A., Wang, Z., Levison, B. S., Buffa, J. A., Org, E., Sheehy, B. T., Britt, E. B., Fu, X., Wu, Y., Li, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3145 · Cited by 4,386
Interactions Between the Microbiota and the Immune System
Hooper, L. V., Littman, D. R., & Macpherson, A. J. (2012) · Science · doi:10.1126/science.1223490 · Cited by 4,173
Inflammatory Mechanisms in Obesity
Gregor, M. F., & Hotamisligil, G. S. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101322 · Cited by 3,754
Cited by
Sorted by citations
Items 101–182 of 182
Chewing the Fat with Microbes: Lipid Crosstalk in the Gut
Lemons, J. M. S., & Liu, L. (2022) · Nutrients · doi:10.3390/nu14030573 · Cited by 14
Longo, L., Rampelotto, P. H., Filippi‐Chiela, E. C., de Souza, V. E. G., Salvati, F., Cerski, C. T. S., da Silveira, T. R., de Oliveira, C. P. M. S., Cruz, C. U., & Álvares‐da‐Silva, M. R. (2021) · World Journal of Hepatology · doi:10.4254/wjh.v13.i12.2052 · Cited by 13
Martins, A. S. D. P., Campos, S. B. G., Goulart, M. O. F., Fabiana, & Moura, F. A. (2021) · Biocell · doi:10.32604/biocell.2021.014332 · Cited by 13
Wen, P., Shi, L., Huang, Q., Li, T., Jian, W., Zhao, L., Xu, R., Liu, T., Zhang, B., Wang, H., et al. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.174754 · Cited by 12
The first taxonomic and functional characterization of human CAVD-associated microbiota
Curini, L., Alushi, B., Christopher, M. R., Baldi, S., Gloria, L. D., Stefàno, P., Laganà, A., Iannone, L., Grubitzsch, H., Landmesser, U., et al. (2023) · Microbial Cell · doi:10.15698/mic2023.02.791 · Cited by 13
Groenen, A. G., Bazioti, V., van Zeventer, I. A., Chen, L., Groot, H. E., Balder, J.-W., Zhernakova, A., van der Harst, P., Rimbert, A., Kuivenhoven, J. A., et al. (2022) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2022.01.008 · Cited by 12
Self-citationHost-microbe tryptophan partitioning in cardiovascular diseases
Russo, M. A., Garaci, E., Frustaci, A., Fini, M., Costantini, C., Oikonomou, V., Nunzi, E., Puccetti, P., & Romani, L. R. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106994 · Cited by 12
Effects of modified-BHI medium on the growth and metabolites of Akkermansia muciniphila
Zhang, Q., Zhou, Y., He, Q., Zhao, H., Zhou, F., Chi, P., & Li, Q. (2024) · Food Science and Biotechnology · doi:10.1007/s10068-023-01492-x · Cited by 11
Ni, X., Wang, Z., Gao, D., Yuan, H., Sun, L., Zhu, X., Zhou, Q., & Yang, Z. (2021) · Immunity & Ageing · doi:10.1186/s12979-021-00241-0 · Cited by 13
Mozaffarian, D. (2019) · Circulation Research · doi:10.1161/circresaha.119.315206 · Cited by 11
Abahussin, H. M., Alotaibi, M. S., Alhazzaa, O. A., Alotaibi, A. G., Alsaab, S. M., Aljawini, N., & Alawad, A. O. (2025) · Gut Pathogens · doi:10.1186/s13099-025-00788-z · Cited by 12
Subclinical Vascular Damage: Current Insights and Future Potential
Mattioli, A. V., Coppi, F., Manenti, A., & Farinetti, A. (2021) · Vascular Health and Risk Management · doi:10.2147/vhrm.s242636 · Cited by 10
Microbiota contribute to regulation of the gut-testis axis in seasonal spermatogenesis
Wu, Z., Li, L., Chen, S., Gong, Y., Liu, Y., Jin, T., Wang, Y., Tang, J., Dong, Q., Yang, B., et al. (2025) · The ISME Journal · doi:10.1093/ismejo/wraf036 · Cited by 9
Alternations in the gut microbiota and metabolome with newly diagnosed unstable angina
Liu, X., Shen, M., Yan, H., Long, P., Jiang, H., Zhang, Y., Zhou, L., Yu, K., Qiu, G., Yang, H., et al. (2021) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2021.11.009 · Cited by 10
Association between Gut Microbiota and Metabolic Health and Obesity Status in Cats
Yeon, K.-D., Kim, S.-M., & Kim, J.-H. (2024) · Animals · doi:10.3390/ani14172524 · Cited by 9
New Personalized Medicine Model for Medication Management
Alagiakrishnan, K., Halverson, T., Olivares, D. V. F., & Sadowski, C. A. (2026) · Journal of Personalized Medicine · doi:10.3390/jpm16040182 · Cited by 10
Dai, Y., Sun, Z., Zheng, Y., & Ge, J. (2023) · 中国科学通报:英文版 · doi:10.1016/j.scib.2023.03.009 · Cited by 8
Liu, Y., Wu, H., Tian, W. A. N. G., Shi, X., He, H., Huang, H., Yang, Y., & Dai, M. (2023) · Chinese Journal of Natural Medicines · doi:10.1016/s1875-5364(23)60506-0 · Cited by 8
Maliakkal, B. J. (2020) · Translational Gastroenterology and Hepatology · doi:10.21037/tgh.2019.12.02 · Cited by 9
Data-driven microbiota biomarker discovery for personalized drug therapy of cardiovascular disease
Shen, L., Shen, K., Bai, J., Wang, J., Singla, R. K., & Shen, B. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.105225 · Cited by 8
Liu, J., Shi, J., Zhang, T., Chen, M., Li, Z., Lu, C., & Wang, F. (2024) · Breast Cancer Basic and Clinical Research · doi:10.1177/11782234241285645 · Cited by 7
Andreu‐Sánchez, S., Ripoll-Cladellas, A., Culinscaia, A., Bulut, O. P., Bourgonje, A. R., Netea, M. G., Lansdorp, P. M., Aubert, G., Bonder, M. J., Franke, L., et al. (2024) · iScience · doi:10.1016/j.isci.2024.109981 · Cited by 7
Self-citationDai, Y., Vgontzas, A. N., Chen, L., Zheng, D., Chen, B., Wu, J., Shao, R., & Li, Y. (2025) · SLEEP · doi:10.1093/sleep/zsaf030 · Cited by 8
Self-citationAminian-Dehkordi, J., Valiei, A., & Mofrad, M. R. K. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.987104 · Cited by 6
Ecton, K. E., Graham, E. L., Risk, B. D., Brown, G., Stark, G., Wei, Y., Trikha, S. R. J., Weir, T. L., & Gentile, C. L. (2023) · Frontiers in Microbiomes · doi:10.3389/frmbi.2023.1095997 · Cited by 7
Molinas-Vera, M., Ferreira-Sanabria, G., Peña, P., & Sandoval-Espínola, W. J. (2024) · Gut Microbes Reports · doi:10.1080/29933935.2024.2332988 · Cited by 7
Gut microbiota: A bridge between depression and cardiovascular disease-A narrative review
Mu, X., Feng, L., Li, H., & Sun, Y. (2025) · The Microbe · doi:10.1016/j.microb.2025.100292 · Cited by 6
Impact of gut microbiota on cardiac aging
Yin, Z., Fu, L., Wang, Y., & Tai, S. (2024) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2024.105639 · Cited by 6
Maternal obesity and resistance to breast cancer treatments among offspring: Link to gut dysbiosis
Andrade, F. D. O., Verma, V., & Hilakivi-Clarke, L. A. (2022) · Cancer Reports · doi:10.1002/cnr2.1752 · Cited by 5
Shen, Y., Wang, P., Yang, X., Chen, M., Dong, Y., & Li, J. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1102754 · Cited by 6
Deng, Q., Sun, Y., Gu, M., Fu, J., Xu, F., Jiao, Y., Zhou, Y., Ma, B., Liu, L., Wang, X., et al. (2025) · Engineering · doi:10.1016/j.eng.2025.02.015 · Cited by 6
Self-citationPanomics: New Databases for Advancing Cardiology
Vakili, D., Radenković, D., Chawla, S., & Bhatt, D. L. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.587768 · Cited by 5
Liu, X., Zhao, D., Wu, X., Zhao, S., Li, Z., & Qin, X. (2022) · Experimental Gerontology · doi:10.1016/j.exger.2022.111882 · Cited by 5
Heianza, Y., Zhou, T., He, H., DiDonato, J. A., Bray, G. A., Sacks, F. M., & Qi, L. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00939-7 · Cited by 6
Qi, X., Zhang, L., Xu, J., Tao, Z., Wang, X., Qiu, Y., Pan, T., Liu, Z., Qu, H., Tan, R., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.669409 · Cited by 4
Gut microbiome alterations in patients with COVID-19-related coagulopathy
Chen, Y., Li, X., Yu, C., Wang, E., Luo, C., Jin, Y., Zhang, L., Ma, Y., Jin, Y. J., Yang, L., et al. (2023) · Annals of Hematology · doi:10.1007/s00277-023-05186-6 · Cited by 4
Modulating the gut microbiome with dietary interventions to reduce cardiometabolic disease risk
Liuzzo, G., & Galiuto, L. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab261 · Cited by 4
Gut microbial structural variations as determinants of human bile acid metabolismPreprint
Wang, D., Doestzada, M., Chen, L., Andreu‐Sánchez, S., van den Munckhof, I., Augustijn, H. E., Koehorst, M., Bloks, V. W., Riksen, N. P., Rutten, J. H. W., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.28.432952 · Cited by 4
Self-citationAssociation of Pancreas Volume With Adverse Clinical Outcomes
Thomas, P., Missikpode, C., Martinez, O. G., Verma, A., Zhao, R., Claudel, S. E., Schmidt, I. M., van Raalte, D. H., Bjornstad, P., Layden, B. T., et al. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.125.042348 · Cited by 3
Hypertension-Associated Acetate Deficiency Enhances Platelet Activation and Thrombosis Via Olfr78
Chen, Y., Li, B., Lin, Y., Sha, W., Shi, C., Wang, M., Wang, S., Wang, J., Ma, Y., Wu, M., et al. (2026) · Circulation Research · doi:10.1161/circresaha.125.327498 · Cited by 4
Fang, L., Kim, I. S., Martin, B. R., Sherlock, L., Min, S., Kim, Y. K., & Mok, K. H. (2026) · Biomolecules · doi:10.3390/biom16050683 · Cited by 4
Li, X., Lin, H., Peng, J., & Gong, J. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1453286 · Cited by 3
Tang, J., Yuan, L., & Han, Y. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1653551 · Cited by 3
Hou, X., Guan, X., Qin, X., & Guo, H.-D. (2026) · Chinese Medicine · doi:10.1186/s13020-026-01336-w · Cited by 2
Zwartjes, M., de Jonge, P. A., van de Laar, A. W. J. M., Bruin, S. C., Meijnikman, A. S., Groen, A. K., Gerdes, V. E. A., & Nieuwdorp, M. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.125.047397 · Cited by 2
Stanford, J., Hoedt, E. C., Gómez‐Martín, M., Clarke, E. D., Duncanson, K., Burrows, T. L., & Collins, C. E. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2685381 · Cited by 2
Masiá, M., & Gutiérrez, F. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2718621 · Cited by 3
Gut Microbiota: A New Marker of Cardiovascular Disease
Pontarollo, G., Kiouptsi, K., Bayer, F., & Reinhardt, C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819265-8.00028-0 · Cited by 2
High-Throughput Metabolomics Applications in Pathogenesis and Diagnosis of Valvular Heart Disease
Mutithu, D. W., Kirwan, J., Adeola, H. A., Aremu, O. O., Lumngwena, E. N., Wiesner, L., Skatulla, S., Naidoo, R., & Ntusi, N. (2023) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm2406169 · Cited by 2
Dysbiosis of Gut Microbiota in Patients with Large-Artery Atherosclerotic Stroke: A Pilot Study
Samuthpongtorn, C., Saraya, A., Joyjinda, Y., Rodpan, A., & Suwanwela, N. (2024) · ASEAN Journal of Psychiatry · doi:10.54615/2231-7805.12.1.001 · Cited by 1
Ma, Y., Liu, L., Chen, Q., & Ma, Y. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.650366 · Cited by 2
The microbiome and cardiovascular disease: Implications in Precision Medicine
Wang, Z., & Osborn, L. J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-824010-6.00022-8 · Cited by 2
Biomarker Screening by LCMS and Liquid Chip Technology in Acute Aortic Dissection
Ren, Y., Zhang, Y., Li, B., Liu, J., Rao, Q., Zhou, Q., & Run, Q. (2023) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2023.09.086 · Cited by 1
Mediation effect of gut microbiota on the relationship between physical activity and carotid plaque
Ouyang, W., Tang, B., He, Y., Wu, H., Yang, P., Yin, L., Li, X., Li, Y., & Huang, X. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1432008 · Cited by 1
Rat Fecal Metabolomics-Based Analysis
Deda, O., Gika, H., & Theodoridis, G. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4334-1_8 · Cited by 1
The Therapeutic Potential of Orange Juice in Cardiac Remodeling: A Metabolomics Approach
Santos, D., Fujimori, A. S. S., Polegato, B. F., & Okoshi, M. P. (2025) · Metabolites · doi:10.3390/metabo15030198 · Cited by 1
Tinoco, A., Li, C., Khurana, J. K., Jara, B. B., Plichta, D. R., Kenny, D. J., Xavier, R. J., & Balskus, E. P. (2025) · SSRN Electronic Journal · doi:10.64898/2025.12.29.696961 · Cited by 1
Self-citationRoss, C. M. (2019) · Circulation Research · doi:10.1161/circresaha.119.315627
Wilson, S. M. G., Maes, A. P., Peach, J. T., Bothner, B. B., Yeoman, C. J., Walk, S. T., & Miles, M. P. (2020) · doi:10.21203/rs.2.21995/v1
Impact drugs targeting cardiometabolic risk on the gut microbiota
Balvers, M., van den Born, B. H., Levin, E., & Nieuwdorp, M. (2020) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000727
Environment-host-microbe interactions shape human metabolism
Chen, L., & Fu, J. (2021) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.171839167
Self-citationSu, M., Zhang, Z., Zhou, L. N., Huang, C., & Nice, E. C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819460-7.00136-5
Geng, T., Chen, J., Zhou, Y., Lu, Q., Wan, Z., Liu, L., Pan, A., & Liu, G. (2022) · Research Square · doi:10.21203/rs.3.rs-1425526/v1
Circulation Research “In This Issue” Anthology
Williams, R., & Editors, T. (2020) · Circulation Research · doi:10.1161/res.0000000000000406
Douwes, R. M. (2022) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.258853049
Jiang, X. L., Li, C., Xia, X., Tong, J., Cheng, J., & Li, X. (2023) · The Heart Surgery Forum · doi:10.59958/hsf.5775
Editorial: Cardiovascular adaptation to extreme environment, volume II
Pingitore, A., Mastorci, F., Laurino, M., Marabotti, C., & Vassalle, C. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1296422
Xu, X., Feng, X., He, M., Zhang, Z., Wang, J., Zhu, H., Li, T., Wang, F., Sun, M., & Wang, Z. (2020) · Figshare · doi:10.6084/m9.figshare.12097248
Miao, Z., Du, W., Xiao, C., Su, C., Gou, W., Shen, L., Zhang, J., Fu, Y., Jiang, Z., Wang, Z., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20070784
Xu, X., Feng, X., He, M., Zhang, Z., Wang, J., Zhu, H., Li, T., Wang, F., Sun, M., & Wang, Z. (2020) · Figshare · doi:10.6084/m9.figshare.12097257
Walker, R. L., Vlamakis, H. C., Lee, J. W. J., Besse, L. A., Xanthakis, V., Vasan, R. S., Shaw, S. Y., & Xavier, R. J. (2021) · Figshare · doi:10.6084/m9.figshare.17254314
Self-citationZwartjes, M. S. Z., de Jonge, P. A., van de Laar, A. W. J. M., Bruin, S. C., Meijnikman, A. S., Groen, A. K., Gerdes, V. E. A., & Nieuwdorp, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.15.682716
Doestzada, M., Zhernakova, D. V., C. L. van den Munckhof, I., Wang, D., Kurilshikov, A., Chen, L., Bloks, V. W., van Faassen, M. H. J. R., Rutten, J. R., Joosten, L. A. B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26554721
Self-citationDoestzada, M., Zhernakova, D. V., C. L. van den Munckhof, I., Wang, D., Kurilshikov, A., Chen, L., Bloks, V. W., van Faassen, M., Rutten, J. R., Joosten, L. A. B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26554724
Self-citationXu, X., Feng, X., He, M., Zhang, Z., Wang, J., Zhu, H., Li, T., Wang, F., Sun, M., & Wang, Z. (2020) · Figshare · doi:10.6084/m9.figshare.12097263
Doestzada, M., Zhernakova, D. V., C. L. van den Munckhof, I., Wang, D., Kurilshikov, A., Chen, L., Bloks, V. W., van Faassen, M., Rutten, J. R., Joosten, L. A. B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26554727
Self-citationXu, X., Feng, X., He, M., Zhang, Z., Wang, J., Zhu, H., Li, T., Wang, F., Sun, M., & Wang, Z. (2020) · Figshare · doi:10.6084/m9.figshare.12097269
Walker, R. L., Vlamakis, H. C., Lee, J. W. J., Besse, L. A., Xanthakis, V., Vasan, R. S., Shaw, S. Y., & Xavier, R. J. (2021) · Figshare · doi:10.6084/m9.figshare.17254311
Self-citationThe Infant Gut Virome: Knowns, Unknowns, and Avenues for Future Studies
Kuzub, N., Fernández-Pato, A., Garmaeva, S., & Zhernakova, A. (2026) · Engineering · doi:10.1016/j.eng.2026.03.018
Self-citationBordoni, L., Mansouri, F., Rucci, C., de Sousa, J. A., & von Meyenn, F. (2026) · Clinical Nutrition · doi:10.1016/j.clnu.2026.106703 · Cited by 1
Xu, Z., Zhao, X., Tian, L., Liu, X., Xiang, M., Yang, P., Huang, R., Xie, X., Wang, D., Zhang, Z., et al. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1871596
Hernández-Cacho, A., Ni, J., García-Gavilán, J. F., Pérez-Acosta, J. A., Vázquez‐Lorente, H., Plaza‐Díaz, J., & Salas‐Salvadó, J. (2026) · Current Atherosclerosis Reports · doi:10.1007/s11883-026-01463-7
Metadata
- Authors
- 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., Joosten, L. A. B., van der Graaf, M., Brand, T., Koonen, D. P. Y., van Faassen, M., LifeLines DEEP Cohort Study, B. M. C., Slagboom, P. E., Xavier, R. J., Kuipers, F., Hofker, M. H., Wijmenga, C., Netea, M. G., Zhernakova, A., & Fu, J.
- Affiliations
- University Medical Center Groningen (NL)
- Department of Internal Medicine and Radboud Center for Infectious Diseases (I.C.L.v.d.M., K.S., J.H.W.R., N.P.R., J.d.G., M.O., L.A.B.J., T.B., M.G.N.), Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud University Nijmegen (NL)
- Department of Radiology and Nuclear Medicine (M.v.d.G.), Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Laboratory Medicine (M.v.F., F.K.), University of Groningen, University Medical Center Groningen, the Netherlands
- Leiden University Medical Center (NL)
- Broad Institute (US)
- University of Bonn (DE)
- ORCID
- Venue
- Circulation Research
- Published
- 2019-06-07
- Volume
- 124
- Issue
- 12
- Pages
- 1808-1820
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2938364298
- Cited by
- 178
- References
- 70
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 19 · 2023: 18 · 2022: 41 · 2021: 37 · 2020: 29 · 2019: 8
- FWCI
- 9.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- Circulation Research (publishedVersion, other-oa)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (acceptedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- European Commission (322698, FP7/2007–2013/ERC, 2007–2013, FP7 2007-2013, 310372, 715772, FP7/2007)
- Rijksuniversiteit Groningen (CVON2012-03)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (FP7 2007-2013, NWO-VIDI 864.13.013, 864.13.013, NWO-VIDI016, SPI 94- 212, 016.Vidi.178.056, 2012-322698, SPI 92-266)
- Universitair Medisch Centrum Groningen
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- gut microbiota, plasma metabolites, cardiovascular risk, obesity, lipoprotein subclasses, Ruminococcus, atherosclerosis, liver fat, short-chain fatty acids, inflammation, cardiometabolic phenotypes
- MeSH terms
- Gastrointestinal Microbiome, Adult, Aged, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Netherlands, Obesity, Phenotype, Prospective Studies, Risk Factors, Cohort Studies, Metabolome
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