The Metabolome-Wide Association Study: a new look at human disease risk factors

The food metabolome: a window over dietary exposure

Scalbert, A., Brennan, L., Manach, C., Andres-Lacueva, C., Dragsted, L. O., Draper, J., Rappaport, S. M., van der Hooft, J. J., & Wishart, D. S. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.076133 · Cited by 519 · see citing works

Computational Metabolomics: A Framework for the Million Metabolome

Uppal, K., Walker, D. I., Liu, K., Li, S., Go, Y., & Jones, D. P. (2016) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.6b00179 · Cited by 241 · see citing works

Extensive In Vivo Metabolite-Protein Interactions Revealed by Large-Scale Systematic Analyses

Li, X., Gianoulis, T. A., Yip, K. Y., Gerstein, M., & Snyder, M. (2010) · Cell · doi:10.1016/j.cell.2010.09.048 · Cited by 237 · see citing works

Inflammaging and Cancer: A Challenge for the Mediterranean Diet

Ostan, R., Lanzarini, C., Pini, E., Scurti, M., Vianello, D., Bertarelli, C., Fabbri, C., Izzi, M., Palmas, M. G., Biondi, F., et al. (2015) · Nutrients · doi:10.3390/nu7042589 · Cited by 194 · see citing works

Human metabolic profiles are stably controlled by genetic and environmental variation

Nicholson, G., Rantalainen, M., Maher, A. D., Li, J. V., Malmodin, D., Ahmadi, K. R., Faber, J. H., Hallgrímsdóttir, I. B., Barrett, A., Toft, H., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.57 · Cited by 173 · see citing works

The evolution of partial least squares models and related chemometric approaches in metabonomics and metabolic phenotyping

Fonville, J. M., Richards, S. E., Barton, R. H., Boulangé, C. L., Ebbels, T. M. D., Nicholson, J. K., Holmes, E. C., & Dumas, M. (2010) · Journal of Chemometrics · doi:10.1002/cem.1359 · Cited by 156 · see citing works

Non-Targeted Metabolomics and Associations with per- and Polyfluoroalkyl Substances (PFAS) Exposure in Humans: A Scoping Review

Guo, P., Furnary, T., Vasiliou, V., Yan, Q., Nyhan, K., Jones, D. P., Johnson, C. H., & Liew, Z. (2022) · Environment International · doi:10.1016/j.envint.2022.107159 · Cited by 145 · see citing works

Beyond genomics: understanding exposotypes through metabolomics

Rattray, N. J. W., Deziel, N. C., Wallach, J. D., Khan, S. A., Vasiliou, V., Ioannidis, J. P. A., & Johnson, C. H. (2018) · Human Genomics · doi:10.1186/s40246-018-0134-x · Cited by 116 · see citing works

Metabolomics‐Based Dietary Biomarkers in Nutritional Epidemiology—Current Status and Future Opportunities

Brennan, L., & Hu, F. B. (2018) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201701064 · Cited by 108 · see citing works

High-resolution metabolomics of occupational exposure to trichloroethylene

Walker, D. I., Uppal, K., Zhang, L., Vermeulen, R., Smith, M., Hu, W., Purdue, M. P., Tang, X., Reiss, B., Kim, S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw218 · Cited by 107 · see citing works

The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases

Vizcaíno, J. A., Kubiniok, P., Kovalchik, K. A., Ma, Q., Duquette, J. D., Mongrain, I., Deutsch, E. W., Peters, B., Sette, A., Sirois, I., et al. (2019) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r119.001743 · Cited by 91 · see citing works

AlloFinder: a strategy for allosteric modulator discovery and allosterome analyses

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Metabolomics: Basic Principles and Strategies

Nalbantoğlu, S. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.88563 · Cited by 86 · see citing works

Statistical Spectroscopic Tools for Biomarker Discovery and Systems Medicine

Robinette, S. L., Lindon, J. C., & Nicholson, J. K. (2013) · Analytical Chemistry · doi:10.1021/ac4007254 · Cited by 78 · see citing works

Subset Optimization by Reference Matching (STORM): An Optimized Statistical Approach for Recovery of Metabolic Biomarker Structural Information from1H NMR Spectra of Biofluids

Posma, J. M., García‐Pérez, I., Iorio, M. D., Lindon, J. C., Elliott, P., Holmes, E. C., Ebbels, T. M. D., & Nicholson, J. K. (2012) · Analytical Chemistry · doi:10.1021/ac302360v · Cited by 75 · see citing works

Design and methodology challenges of environment-wide association studies: A systematic review

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The Human Gutome: Nutrigenomics of the Host–Microbiome Interactions

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Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method

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Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach

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Identification of metabolites in human hepatic bile using 800 MHz 1H NMR spectroscopy, HPLC-NMR/MS and UPLC-MS

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A Study of the Effects of Exercise on the Urinary Metabolome Using Normalisation to Individual Metabolic Output

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Progress and Challenges in Developing Metabolic Footprints from Diet in Human Gut Microbial Cometabolism ,

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Metabolome analyses in exposome studies: Profiling methods for a vast chemical space

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Metabolomics: Applications and Promise in Mycobacterial Disease

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Recent developments in sample preparation and data pre-treatment in metabonomics research

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L‐arginine metabolism ameliorates age‐related cognitive impairment by Amuc_1100‐mediated gut homeostasis maintaining

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Metabolomic Changes in the Rat Retina After Optic Nerve Crush

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A statistical framework to model the meeting-in-the-middle principle using metabolomic data: application to hepatocellular carcinoma in the EPIC study

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High-Throughput Metabolomics for Discovering Potential Biomarkers and Identifying Metabolic Mechanisms in Aging and Alzheimer’s Disease

Xie, K., Qin, Q., Long, Z., Yang, Y., Peng, C., Xi, C., Li, L., Wu, Z., Daria, V., Zhao, Y., et al. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.602887 · Cited by 40 · see citing works

Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networks

Fearnley, L. G., & Inouye, M. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw046 · Cited by 40 · see citing works

Genetic determinants of metabolism in health and disease: from biochemical genetics to genome-wide associations

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Metabolome-wide association study of peripheral parasitemia in Plasmodium vivax malaria

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Large-Scale Human Metabolic Phenotyping and Molecular Epidemiological Studies via 1H NMR Spectroscopy of Urine: Investigation of Borate Preservation

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Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · BMC Medicine · doi:10.1186/s12916-020-01655-1 · Cited by 37 · see citing works

Quantitative UPLC-MS/MS analysis of the gut microbial co-metabolites phenylacetylglutamine, 4-cresyl sulphate and hippurate in human urine: INTERMAP Study

Wijeyesekera, A., Clarke, P. A., Bictash, M., Brown, I., Fidock, M. D., Ryckmans, T., Yap, I. K. S., Chan, Q. M., Stamler, J., Elliott, P., et al. (2011) · Analytical Methods · doi:10.1039/c1ay05427a · Cited by 37 · see citing works

1H-NMR-based metabolomics for cancer targeting and metabolic engineering –A review

Ganesan, R., Jung, Y., Jung, S. H., & Kim, T. (2020) · Process Biochemistry · doi:10.1016/j.procbio.2020.08.023 · Cited by 36 · see citing works

Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort

Assi, N., Gunter, M. J., Thomas, D. C., Leitzmann, M. F., Stępień, M., Chajès, V., Philip, T. O., Vineis, P., Bamia, C., Boutron‐Ruault, M., et al. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy074 · Cited by 35 · see citing works

Metabolic Profiling and Population Screening of Analgesic Usage in Nuclear Magnetic Resonance Spectroscopy-Based Large-Scale Epidemiologic Studies

Loo, R. L., Coen, M., Ebbels, T. M. D., Cloarec, O., Maibaum, E., Bictash, M., Yap, I. K. S., Elliott, P., Stamler, J., Nicholson, J. K., et al. (2009) · Analytical Chemistry · doi:10.1021/ac900567e · Cited by 35 · see citing works

Metabolomics: Unraveling the chemical individuality of common human diseases

Houten, S. M. (2009) · Annals of Medicine · doi:10.1080/07853890902729794 · Cited by 34 · see citing works

Population Screening for Biological and Environmental Properties of the Human Metabolic Phenotype

Walker, D. I., Go, Y., Liu, K., Pennell, K. D., & Jones, D. P. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800344-2.00007-0 · Cited by 34 · see citing works

Are Metabolic Signatures Mediating the Relationship between Lifestyle Factors and Hepatocellular Carcinoma Risk? Results from a Nested Case–Control Study in EPIC

Assi, N., Thomas, D. C., Leitzmann, M. F., Stępień, M., Chajès, V., Philip, T. O., Vineis, P., Bamia, C., Boutron‐Ruault, M., Sandanger, T. M., et al. (2018) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-17-0649 · Cited by 30 · see citing works

Lead exposure and serum metabolite profiles in pregnant women in Mexico City

Niedzwiecki, M. M., Eggers, S. I., Joshi, A., Dolios, G., Cantoral, A., Lamadrid‐Figueroa, H., Amarasiriwardena, C. J., Téllez‐Rojo, M. M., Wright, R. O., & Petrick, L. M. (2021) · Environmental Health · doi:10.1186/s12940-021-00810-2 · Cited by 30 · see citing works

Cardiac Microvascular Barrier Function Mediates the Protection of Tongxinluo against Myocardial Ischemia/Reperfusion Injury

Kang, Q., Li, L., Li, X., Zhao, J., Wang, Y., You, S., Hu, F., Zhang, H., Cheng, Y., Kang, S., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119846 · Cited by 30 · see citing works

Intra-Ramanome Correlation Analysis Unveils Metabolite Conversion Network from an Isogenic Population of Cells

He, Y., Huang, S. W., Zhang, P., Ji, Y., & Xu, J. (2021) · mBio · doi:10.1128/mbio.01470-21 · Cited by 26 · see citing works

Metabonomic profiling of diet-induced hyperlipidaemia in a rat model

Zhang, Q., Wang, G., Aa, J., Ma, B., Dua, Y., Zhu, L., & Wu, D. (2009) · Biomarkers · doi:10.3109/13547500903419049 · Cited by 24 · see citing works

Making sense of OMICS data in population‐based environmental health studies

Kyrtopoulos, S. Α. (2013) · Environmental and Molecular Mutagenesis · doi:10.1002/em.21778 · Cited by 23 · see citing works

Impact of geographical region on urinary metabolomic and plasma fatty acid profiles in subjects with the metabolic syndrome across Europe: the LIPGENE study

Walsh, M. C., McLoughlin, G. A., Roche, H. M., Ferguson, J. F., Drevon, C. A., Saris, W. H. M., Lovegrove, J. A., Risérus, U., López‐Miranda, J., Defoort, C., et al. (2013) · British Journal Of Nutrition · doi:10.1017/s0007114513002602 · Cited by 22 · see citing works

System biology analysis reveals the role of voltage‐dependent anion channel in mitochondrial dysfunction during non‐alcoholic fatty liver disease progression into hepatocellular carcinoma

Zhu, Y., Zhang, C., Xu, F., Zhao, M., Bergquist, J., Yang, C., Liu, X., Tan, Y. X., Wang, X., Li, S., et al. (2020) · Cancer Science · doi:10.1111/cas.14651 · Cited by 21 · see citing works

Deep Metabolic Profiling Assessment of Tissue Extraction Protocols for Three Model Organisms

Gegner, H. M., Mechtel, N., Heidenreich, E., Wirth, A., Cortizo, F. G., Bennewitz, K., Fleming, T., Andresen, C., Freichel, M., Teleman, A. A., et al. (2022) · Frontiers in Chemistry · doi:10.3389/fchem.2022.869732 · Cited by 19 · see citing works

Quantitative metabolic profiling of NMR spectral signatures of branched chain amino acids in blood serum

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Network Marker Selection for Untargeted LC–MS Metabolomics Data

Cai, Q., Alvarez, J. A., Kang, J., & Yu, T. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00861 · Cited by 15 · see citing works

Chapter 1 Biomedical Agriculture

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Gut microbiome and metabolic response in non-alcoholic fatty liver disease

Abuwani, A. M., Dash, S. P., Ganesan, R., Renu, K., Vellingiri, B., Kandasamy, S., Sundara Rajan, C. R., & Gopalakrishnan, A. V. (2021) · Clinica Chimica Acta · doi:10.1016/j.cca.2021.10.014 · Cited by 14 · see citing works

Coronary microvascular and endothelial function regulation: Crossroads of psychoneuroendocrine immunitary signals and quantum physics [Part B]

Lin, C. D., Poretto, A., Scodro, M., Marra, M. P., Iliceto, S., & Tona, F. (2015) · Journal of Integrative Cardiology · doi:10.15761/jic.1000136 · Cited by 13 · see citing works

Integrated Analysis of Per- and Polyfluoroalkyl Substance Exposure and Metabolic Profiling of Elderly Residents Living near Industrial Plants

Yang, Y., Wang, X., Yang, M., Wei, S., & Li, Y. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c09014 · Cited by 13 · see citing works

Animal-Free Chemical Safety Assessment

Loizou, G. D. (2016) · Frontiers in Pharmacology · doi:10.3389/fphar.2016.00218 · Cited by 13 · see citing works

Biomedical Informatics Methods for Personalized Medicine and Participatory Health

Martin-Sanchez, F. J., López–Campos, G., & Gray, K. M. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-401678-1.00011-7 · Cited by 12 · see citing works

Identification of prediagnostic metabolites associated with prostate cancer risk by untargeted mass spectrometry‐based metabolomics: A case‐control study nested in the Northern Sweden Health and Disease Study

Östman, J. R., Pinto, R. C., Ebbels, T. M. D., Thysell, E., Hallmans, G., & Moazzami, A. A. (2022) · International Journal of Cancer · doi:10.1002/ijc.34223 · Cited by 12 · see citing works

Validated and Predictive Processing of Gas Chromatography-Mass Spectrometry Based Metabolomics Data for Large Scale Screening Studies, Diagnostics and Metabolite Pattern Verification

Thysell, E., Chorell, E., Svensson, M., Jonsson, P., & Antti, H. (2012) · Metabolites · doi:10.3390/metabo2040796 · Cited by 10 · see citing works

Perspectives for metabolomics in testosterone replacement therapy

Haring, R. (2012) · Journal of Endocrinology · doi:10.1530/joe-12-0119 · Cited by 10 · see citing works

Oxidative Stress-Related Metabolomic Alterations in Pregnancy: Evidence from Exposure to Air Pollution, Metals/Metalloid, and Tobacco Smoke

Pizent, A. (2025) · Antioxidants · doi:10.3390/antiox14121442 · Cited by 9 · see citing works

NMR-based metabolomic profiling can differentiate follicular lymphoma from benign lymph node tissues and may be predictive of outcome

Banoei, M. M., Mahé, E., Mansoor, A., Stewart, D. A., Winston, B. W., Habibi, H. R., & Shabani‐Rad, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-12445-5 · Cited by 9 · see citing works

Botanical Diversity in Vegetable and Fruit Intake

Thompson, M. D., & Thompson, H. J. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374628-3.00001-3 · Cited by 9 · see citing works

Importance of metabolomics analyses of maternal parameters and their influence on fetal growth

Liu, J., Liu, G., & Li, Z. (2017) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2017.4517 · Cited by 7 · see citing works

Determinants of Financial and Non-Financial Risk Tolerance among Students at Selected South African Universities

Ramudzuli, P. M., & Muzindutsi, P. (2018) · Foundations of Management · doi:10.2478/fman-2018-0023 · Cited by 7 · see citing works

Vegetable and Fruit Intake and the Development of Cancer

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Evaluation of the impacts of homocysteine and hypoxia on vascular endothelial function based on the profiling of neuro-endocrine-immunity network in rats

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Crosstalk between Host Genome and Metabolome among People with HIV in South Africa

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Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study

Noerman, S., Virtanen, J. K., Lehtonen, M., Brunius, C. F., & Hanhineva, K. (2022) · European Journal of Nutrition · doi:10.1007/s00394-022-03010-x · Cited by 4 · see citing works

Expression Profile of Neuro-Endocrine-Immune Network in Rats with Vascular Endothelial Dysfunction

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High-Throughput Metabolomics for Discovering Potential Biomarkers and Identifying Metabolic Mechanisms in Aging and Alzheimer’s DiseasePreprint

Xie, K., Qin, Q., Long, Z., Yang, Y., Peng, C., Xi, C., Li, L., Wu, Z., Daria, V., Zhao, Y., et al. (2020) · doi:10.21203/rs.3.rs-60073/v1 · Cited by 3 · see citing works

Biomarker Discovery in Diabetic Nephropathy by Targeted Metabolomics

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Testosterone - Functions, Uses, Deficiencies, and Substitution

Doi, H. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.102212 · Cited by 2 · see citing works

Postpartum metabolomics profile predicts 8-years postdelivery women’s subclinical atherosclerosis measures

Svensson, K., Sánchez-Guerra, M., Midya, V., Guan, H., Niedzwiecki, M. M., Dolios, G., Osorio-Yáñez, C., Razo, L. M. D., Ayllón-Vergara, J. C., Estrada‐Gutiérrez, G., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-18642-2 · Cited by 1 · see citing works

Application of Metagenomic Technologies for Antimicrobial Resistance and Food Safety Research and Beyond☆☆CYC and XY contributed equally to this review. The opinions expressed in this review are entirely those of the authors and do not represent those of the USDA.

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Design of Nutritional Interventions for the Control of Cellular Oxidation

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Toxicity Data Obtained From Human Studies

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An Analysis of Genome-Wide Association Studies to Produce Evidence Useful in Guiding Their Reporting and Synthesis

Yurkiewich, A. J. (2012) · uO Research (University of Ottawa) · doi:10.20381/ruor-5448

Faculty Opinions recommendation of Extensive in vivo metabolite-protein interactions revealed by large-scale systematic analyses.

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Nutrition and Cancer

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Why Metabonomics?

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Testosterone Misuse

Kaabia, Z. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.109110

Additional file 5 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695549

Additional file 8 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695558

Additional file 9 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695561

Additional file 1 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695537

Additional file 4 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695546

Additional file 6 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695552

Additional file 3 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695543

Additional file 10 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695534

Additional file 2 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695540

Additional file 7 of Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · Figshare · doi:10.6084/m9.figshare.12695555

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