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For: Rafiq T, Azab SM, Teo KK, Thabane L, Anand SS, Morrison KM, de Souza RJ, Britz-McKibbin P. Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review. Adv Nutr 2021;12:2333-57. [PMID: 34015815 DOI: 10.1093/advances/nmab054] [Cited by in Crossref: 23] [Cited by in F6Publishing: 21] [Article Influence: 11.5] [Reference Citation Analysis]
Number Citing Articles
1 Bhave VM, Ament Z, Patki A, Gao Y, Kijpaisalratana N, Guo B, Chaudhary NS, Guarniz AG, Gerszten R, Correa A, Cushman M, Judd S, Irvin MR, Kimberly WT. Plasma Metabolites Link Dietary Patterns to Stroke Risk. Ann Neurol 2023;93:500-10. [PMID: 36373825 DOI: 10.1002/ana.26552] [Reference Citation Analysis]
2 Gueugneau M, Capel F, Monfoulet LE, Polakof S. Metabolomics signatures of plant protein intake: effects of amino acids and compounds associated with plant protein on cardiometabolic health. Curr Opin Clin Nutr Metab Care 2023;26:189-94. [PMID: 36892966 DOI: 10.1097/MCO.0000000000000908] [Reference Citation Analysis]
3 Martin JC, Bal-Dit-Sollier C, Bard JM, Lairon D, Bonneau M, Kang C, Cazaubiel M, Marmonier C, Leruyet P, Boyer C, Nazih H, Tardivel C, Defoort C, Pradeau M, Bousahba I, Hammou H, Svilar L, Drouet L. Deep phenotyping and biomarkers of various dairy fat intakes in an 8-week randomized clinical trial and 2-year swine study. J Nutr Biochem 2023;113:109239. [PMID: 36442717 DOI: 10.1016/j.jnutbio.2022.109239] [Reference Citation Analysis]
4 Shanmuganathan M, Bogert M, Kroezen Z, Britz-McKibbin P, Atkinson SA. Dynamic Metabolic Signatures of Choline and Carnitine across Healthy Pregnancy and in Cord Blood: Association with Maternal Dietary Protein. J Nutr 2023:S0022-3166(23)11102-3. [PMID: 36780943 DOI: 10.1016/j.tjnut.2023.02.013] [Reference Citation Analysis]
5 Sullivan VK, Rebholz CM. Nutritional Epidemiology and Dietary Assessment for Patients With Kidney Disease: A Primer. Am J Kidney Dis 2023:S0272-6386(23)00004-5. [PMID: 36610612 DOI: 10.1053/j.ajkd.2022.11.014] [Reference Citation Analysis]
6 Liang S, Li A, Skilton MR. Development of a Multibiomarker Panel of Healthy Eating Index in United States Adults: A Machine Learning Approach. J Nutr 2023;153:385-92. [PMID: 36913475 DOI: 10.1016/j.tjnut.2022.11.004] [Reference Citation Analysis]
7 King L, Wang Q, Xia L, Wang P, Jiang G, Li W, Huang Y, Liang X, Peng X, Li Y, Chen L, Liu L. Environmental exposure to perchlorate, nitrate and thiocyanate, and thyroid function in Chinese adults: A community-based cross-sectional study. Environ Int 2023;171:107713. [PMID: 36565572 DOI: 10.1016/j.envint.2022.107713] [Reference Citation Analysis]
8 Elsner F, Matthiessen LE, Średnicka-Tober D, Marx W, O'Neil A, Welch AA, Hayhoe RP, Higgs S, van Vliet M, Morphew-Lu E, Kazimierczak R, Góralska-Walczak R, Kopczyńska K, Steenbuch Krabbe Bruun T, Rosane BP, Gjedsted Bügel S, Strassner C. Identifying Future Study Designs for Mental Health and Social Wellbeing Associated with Diets of a Cohort Living in Eco-Regions: Findings from the INSUM Expert Workshop. Int J Environ Res Public Health 2022;20. [PMID: 36612999 DOI: 10.3390/ijerph20010669] [Reference Citation Analysis]
9 Ly R, Azab SM, Shanmuganathan M, Britz‐mckibbin P. Comprehensive Lipid Profiling by Multisegment Injection–Nonaqueous Capillary Electrophoresis–Mass Spectrometry: Expanding Coverage Beyond Hydrophilic Metabolites. Capillary Electrophoresis‐Mass Spectrometry for Proteomics and Metabolomics 2022. [DOI: 10.1002/9783527833092.ch6] [Reference Citation Analysis]
10 Baxter BA, Li KJ, Zarei I, Yao L, Rao S, Ryan EP. Nontargeted and Targeted Metabolomics Identifies Dietary Exposure Biomarkers for Navy Bean and Rice Bran Consumption in Children and Adults. J Agric Food Chem 2022;70:14531-14543. [DOI: 10.1021/acs.jafc.2c02378] [Reference Citation Analysis]
11 Shinn LM, Mansharamani A, Baer DJ, Novotny JA, Charron CS, Khan NA, Zhu R, Holscher HD. Fecal Metabolites as Biomarkers for Predicting Food Intake by Healthy Adults. J Nutr 2023;152:2956-65. [PMID: 36040343 DOI: 10.1093/jn/nxac195] [Reference Citation Analysis]
12 Rafiq T, Azab SM, Anand SS, Thabane L, Shanmuganathan M, Morrison KM, Atkinson SA, Stearns JC, Teo KK, Britz-McKibbin P, de Souza RJ. Sources of Variation in Food-Related Metabolites during Pregnancy. Nutrients 2022;14:2503. [PMID: 35745237 DOI: 10.3390/nu14122503] [Reference Citation Analysis]
13 Suleiman A R, Muhammad U A, Maiwada Ab S. Nutritional Biomarkers of Tiger Nut (Cyperus esculentus) Intake in Albino Rats. J of Applied Sciences 2022;22:211-216. [DOI: 10.3923/jas.2022.211.216] [Reference Citation Analysis]
14 Shea MK, Korat AVA, Jacques PF, Sebastiani P, Cohen R, LaVertu AE, Booth SL. Leveraging Observational Cohorts to Study Diet and Nutrition in Older Adults: Opportunities and Obstacles. Adv Nutr 2022;13:1652-68. [PMID: 35362509 DOI: 10.1093/advances/nmac031] [Reference Citation Analysis]
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16 Finlay R, Yin X, Gao Y, Brennan L. A metabolomics approach to discover and validate dietary biomarkers of green beans intake. Proc Nutr Soc 2022;81:E149. [DOI: 10.1017/s0029665122001781] [Reference Citation Analysis]
17 Amoresano A, Pucci P. Mass spectrometry in metabolomics. Metabolomics Perspectives 2022. [DOI: 10.1016/b978-0-323-85062-9.00004-0] [Reference Citation Analysis]
18 Kiseleva O, Kurbatov I, Ilgisonis E, Poverennaya E. Defining Blood Plasma and Serum Metabolome by GC-MS. Metabolites 2021;12:15. [PMID: 35050137 DOI: 10.3390/metabo12010015] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
19 Taren D, Akseer N, Davis CD, Miller JW, Moustaid-Moussa N, Novotny R, Slupsky CM, Saroja Voruganti V, Cameron JM. Eighty years of nutritional sciences, and counting. Nutr Rev 2021;80:1-5. [PMID: 34891168 DOI: 10.1093/nutrit/nuab112] [Reference Citation Analysis]
20 Shinn LM, Holscher HD. Personalized Nutrition and Multiomics Analyses. Nutr Today 2021;56:270-278. [DOI: 10.1097/nt.0000000000000513] [Reference Citation Analysis]
21 Brennan L, Hu FB, Sun Q. Metabolomics Meets Nutritional Epidemiology: Harnessing the Potential in Metabolomics Data. Metabolites 2021;11. [PMID: 34677424 DOI: 10.3390/metabo11100709] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 4.5] [Reference Citation Analysis]
22 Bruce CY, Shanmuganathan M, Azab SM, Britz-mckibbin P, Anand SS, de Souza RJ, Stearns JC. Effects of Diet on the Microbiome and Serum Metabolome of South Asian Infants at 1 Year.. [DOI: 10.1101/2021.09.28.21264268] [Reference Citation Analysis]