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Wirth, J; Hillesheim, E; Brennan, L. Protein intake and its effect on sleep outcomes: a systematic review and meta-analysis of randomized controlled trials. Nutrition Reviews 2023, 81(3):333-345, 10.1093/NUTRIT/NUAC061.


Gupta, S; Gormley I.C; Brennan L. MetaboVariation: Exploring Individual Variation in Metabolite Levels. Metabolites 2023,13(2), 10.3390/METABO13020164.


Hillesheim, E; Brennan, L. Metabotyping: A tool for identifying subgroups for tailored nutrition advice. Proceedings of the Nutrition Society 2023, 10.1017/S0029665123000058. 


Hillesheim, E; Yin, X; Sundaramoorthy, G.P; Brennan, L. Using a Metabotype Framework to Deliver Personalized Nutrition Improves Dietary Quality and Metabolic Health Parameters: A 12-Week Randomized Controlled Trial. Molecular Nutrition and Food Research 2023, 10.1002/MNFR.202200620.


Brennan L, O'Gorman A, Barth S, Cadden T, Dean M, Doohan F, Henchion M, McIvor R, McNulty B, O'Donoghue C, O'Reilly S, Rafferty J, Roche HM, Thorne F, Wallace M, Wright D, Nugent AP. An innovative food system approach to diversifying protein intake: Protein-I: Shared Island sustainable healthy nutrition. Nutrition Bulletin 2022, 47(4):516-523, 10.1111/NBU.12590. 

Bottu, H.M; Mero, A: Husanu, E; Tavernier, S; Pomelli, C.S; Dewaele, A; Bernaert, N; Guazzelli, L; Brennan, L. The ability of deep eutectic solvent systems to extract bioactive compounds from apple pomace. Food Chemistry 2022, 386, 10.1016/j.foodchem.2022.132717. 

Murphy, CH; Connolly, C; Flanagan, EM; Mitchelson, KAJ; de Marco Castro, E; Egan, B; Brennan, L; Roche, HM. Interindividual variability in response to protein and fish oil supplementation in older adults: a randomized controlled trial. Journal of Cachexia, Sarcopenia and Muscle 2022,13(2):872-883, 10.1002/JCSM.12936

Yin, X; Prendiville, O.; McNamara, A.E.; Brennan, L. Targeted metabolomic approach to assess the reproducibility of plasma metabolites over a four month period in a free-living population. Journal of Proteome Research 2022, 21(3):683-690, 10.102/acs.jproteome.1c00440.

Yin, X; Mongan, D; Cannon, M; Zammit, S; Hyotylainen, T; Oresic, M; Brennan, L; Cotter, D.R. Plasma lipid alternations in young adults with psychotic experiences: A study from the Avon Longitudinal Study of Parents & Children cohort. Schizophrenia Research 2022, 243:78-85,  10.1016/j.schres.2022.02.029.


Wirth J; Wu K; Brennan L. Protein intake and its association with sleep: results from 3 cohort studies of U.S. American health professionals. Proceedings of the Nutrition Society 2022, 81(OCE4), 10.1017/S0029665122001112.

D'Angelo, S; Gormley, I.C.; McNamara, A.E.; Brennan, L. MultiMarker: software for modelling and prediction of continuous food intake using multiple biomarkers measurements. BMC Bioinformatics 2021, 22(1), 10.1186/s12859-021-04394-z

Brennan L.; de Roos B. Nutrigenomics: lessons learned and future perspectives. AJCN 2021, 113 (3), 503-516.


Livingstone K.M.; Celis-Morales C.; Navas-Carretero S.; San-Cristobal R.; Forster H.; Woolhead C.; O'Donovan C.B.; Moschonis G.; Manios Y.; Traczyk I.; Gundersen T.; Drevon C.A.; Marsaux C.F.M.; Fallaize R.; Macready A.L.; Daniel H.; Saris W.H.M.; Lovegrove J.A.; Gibney M.; Gibney E.R.; Walsh M.; Brennan L.; Martinez J.A.; Mathers J.C. Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2021, 18 (1), 70.

Nychyk O.; Barton W.; Rudolf A.M.; Boscaini S.; Walsh A.; Bastiaanssen T.F.S.; Giblin L.; Cormican P.; Chen L.; Piotrowicz Y.; Derous D.; Fanning Á.; Yin X.; Grant J.; Melgar S.; Brennan L.; Mitchell S.E.; Cryan J.F.; Wang J.; Cotter P.D.; Speakman J.R.; Nilaweera K.N. Protein quality and quantity influence the effect of dietary fat on weight gain and tissue partitioning via host-microbiota changes. Cell Reports 2021, 35 (6), 109093.

D'Angelo S.; Brennan L.; Gormley I.C. Inferring food intake from multiple biomarkers using a latent variable model. The Annals of Applied Statistics 2021 May 7; arXiv preprint:2006.02995.

Prendiville O.; Walton J.; Flynn A.; Nugent A.P.; McNulty B.A.; Brennan L. Classifying Individuals Into a Dietary Pattern Based on Metabolomic Data. Molecular Nutrition & Food Research 2021, 65 (11), e2001183.

McNamara A.E.; Walton J.; Flynn A.; Nugent A.P.; McNulty B.A.; Brennan L. The Potential of Multi-Biomarker Panels in Nutrition Research: Total Fruit Intake as an Example. Frontiers in Nutrition 2021, 7:577720.

Bermingham, K.M.; Brennan, L.; Segurado, R.; Barron, R.E.; Gibney, E.R.; Ryan, M.F.; Gibney, M.J,; O'Sullivan, A.M. Genetic and environmental influences on covariation in reproducible diet-metabolite associations. AJCN 2021, 113 (5), 1232-1240.

O'Callaghan, T.F.; O'Donovan, M.; Murphy, J.P.; Sugrue, K.; Tobin, J.T.; McNamara, A.E.; Yin, X.; Sundaramoorthy, G.; Brennan, L. The bovine colostrum and milk metabolome at the onset of lactation as determined by 1H NMR. International Dairy Journal 2021, 113, 104881.


Burton-Pimental, K.J.; Pimentel, G.; Hughes, M.; Michielson, C.; Fatima, A.; Vionnet, N.; Afman, L.A.; Roche, H.M.; Brennan, L.; Ibberson, M.; Vergeres, G. Discriminating dietary responses by combining transcriptomics and metabolomics data in nutrition intervention studies. Molecular Nutrition & Food Research 2021, 65, 2000647.

Horner, K.; Hopkins, M.; Finlayson, G.; Gibbons, C; Brennan, L. Biomarkers of appetite: is their a potential role for metabolomics? Nutrition Research Reviews 2020, 33 (2), 271-286.

McNamara, A.E.; Brennan, L. Potential of food intake biomarkers in nutrition research. Proceedings from the Nutrition Society 2020, 79 (4), 487-497.

Hillesheim, E.; Ryan, M.F.; Gibney, E.; Roche, H.M.; Brennan, L. Optimisation of a metabotype approach to deliver targeted dietary advice. Nutrition and Metabolism 2020, 17:82

Flanagan, E.; Lamport, D.; Brennan, L.; Burnet, P.; Calabrese, V.; Cunnane, SC.; de Wilde, MC.; Dye, L.; Farrimond, JA.; Emerson Lombardo, N.; Hartmann, T.; Hartung, T.; Kalliomäki, M.; Kuhnle, GG.; La Fata, G.; Sala-Vila, A.; Samieri, C.; Smith, A.D.; Spencer, J.P.E.; Thuret, S.; Tuohy, K.; Turroni, S.; Vanden Berghe, W.; Verkuijl, M.; Verzijden, K.; Yannakoulia, M.; Geurts, L.; Vauzour, D. Nutrition and the ageing brain: Moving towards clinical applications. Ageing Research Reviews 2020, 62, 101079.

Livingstone, K.M.; Celis-Morales, C.; Navas-Carretero, S.; San-Cristobal, R.; Forster, H.; Woolhead, C.; O'Donovan C.B.; Moschonis, G.; Manios, Y.; Traczyk, I.; Gundersen, T.E.; Drevon, C.A.; Marsaux, C.F.M.; Fallaize, R.; Macready, A.L.; Daniel, H.; Saris, W.H.M.; Lovegrove, J.A.; Gibney, M.; Gibney, E.R.; Walsh, M.; Brennan, L.; Martinez, J.A.; Mathers, J.C. Characteristics of participants who benefit most from personalised nutrition: findings from the pan-European Food4Me randomised controlled trial. British Journal of Nutrition 2020, 123 (12), 1396-1405.

Hillesheim E.; Brennan, L. Metabotyping and its role in nutrition research. Nutrition Research Reviews 2020, 33 (1), 33-42.

McNamara, A. E.; Collins, C.; Harsha, P. S. C. S.; González-Peña, D.; Gibbons, H.; McNulty, B. A.; Nugent, A. P.; Walton, J.; Flynn, A.; Brennan, L. Metabolomic Based Approach to Identify Biomarkers of Apple Intake. Molecular Nutrition & Food Research 2020, 64 (11), e1901158.


Wirth, J.; Hillesheim, E.; Brennan, L. The Role of Protein Intake and Its Timing on Body Composition and Muscle Function in Healthy Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. The Journal of Nutrition 2020, 150 (6), 1443-1460.

Feskens, E.; Brennan, L.; Dussort, P.; Flourakis, M.; Lindner, L.M.E.; Mela, D.; Rabbani, N.; Rathmann, W.; Respondek, F.; Stehouwer, C.; Theis, S.; Thornalley, P.; Vinoy, S. Potential Markers of Dietary Glycemic Exposures for Sustained Dietary Interventions in Populations without Diabetes. Advances in Nutrition 2020, 00,1–16.


Riedl, A.; Hillesheim, E.; Wawro, N.; Meisinger, C.; Peters, A.; Roden, M.; Kronenberg, F.; Herder, C.; Rathmann, W.; Völzke, H.; Reincke, M.; Koenig, W.; Wallaschofski, H.; Daniel, H.; Hauner, H.; Brennan, L.; Linseisen, J. Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study. Molecular Nutrition & Food Research 2020, 64 (8), e1900918. 

Livingstone, K. M.; Celis-Morales, C.; Navas-Carretero, S.; San-Cristobal, R.; Forster, H.; Woolhead, C.; O’Donovan, C. B.; Moschonis, G.; Manios, Y.; Traczyk, I.; Gundersen, T. E.; Drevon, C. A.; Marsaux, C. F. M.; Fallaize, R.; MacReady, A. L.; Daniel, H.; Saris, W. H. M.; Lovegrove, J. A.; Gibney, M.; Gibney, E. R.; Walsh, M.; Brennan, L.; Martinez, J. A.; Mathers, J. C. Characteristics of Participants Who Benefit Most from Personalised Nutrition: Findings from the Pan-European Food4Me Randomized Controlled Trial. British Journal of Nutrition 2020, 123 (12), 1396-1405.


Yin, X.; Gibbons, H.; Rundle, M.; Frost, G.; McNulty, B. A.; Nugent, A. P.; Walton, J.; Flynn, A.; Brennan, L. The Relationship between Fish Intake and Urinary Trimethylamine-N-Oxide. Molecular Nutrition & Food Research 2020, 64 (3), 1–9.

Gormley, I. C.; Bai, Y.; Brennan, L. Combining Biomarker and Self-Reported Dietary Intake Data: A Review of the State of the Art and an Exposition of Concepts. Statistical Methods in Medical Research 2020, 29 (2), 617–635.

Duggan, C. P.; Brennan, L.; Christian, P.; Fanzo, J.; Ludwig, D. S. Knowledge and Debate in the American Journal of Clinical Nutrition: New Sections, New Science, and Looking Forward and Outward. The American Journal of Clinical Nutrition 2020, 111 (1), 1–3.


Landberg, R.; Hanhineva, K.; Tuohy, K.; Garcia-Aloy, M.; Biskup, I.; Llorach, R.; Yin, X.; Brennan, L.; Kolehmainen, M. Biomarkers of Cereal Food Intake. Genes and Nutrition 2019, 14 (1), 1–16.


D'Angelo, S.; Gormley, I. C.; McNulty, B. A.; Nugent, A. P.; Walton, J.; Flynn, A.; Brennan, L. Combining biomarker and food intake data: calibration equations for citrus intake. The American Journal of Clinical Nutrition 2019, 110 (4), 977–983.


Bermingham, K. M.; Brennan, L.; Segurado, R.; Barron, R. E.; Gibney, E. R.; Ryan, M. F.; Gibney, M. J.; O'Sullivan, A. M. Exploring Covariation between Traditional Markers of Metabolic Health and the Plasma Metabolomic Profile: A Classic Twin Design. Journal of Proteome Research 2019, 18 (6), 2613-2623.


Madrid-Gambin, F.; Focking, M.; Sabherwal, S.; Heurich, M.; English, J. A.; O'Gorman, A.; Suvitaival, T.; Ahonen, L.; Cannon, M.; Lewis, G.; Mattila, I.; Scaife, C.; Madden, S.; Hyotylainen, T.; Oresic, M.; Zammit, S.; Cagney, G.; Cotter, D. R.; Brennan, L. Integrated Lipidomics and Proteomics Point to Early Blood-Based Changes in Childhood Preceding Later Development of Psychotic Experiences: Evidence From the Avon Longitudinal Study of Parents and Children. Biological Psychiatry 2019, 86 (1), 25-34


Celis-Morales, C.; Livingstone, K. M.; Petermann-Rocha, F.; Navas-Carretero, S.; San-Cristobal, R.; O'Donovan, C. B.; Moschonis, G.; Manios, Y.; Traczyk, I.; Drevon, C. A.; Daniel, H.; Marsaux, C. F. M.; Saris, W. H. M.; Fallaize, R.; Macready, A. L.; Lovegrove, J. A.; Gibney, M.; Gibney, E. R.; Walsh, M.; Brennan, L.; Martinez, J. A.; Mathers, J. C.; Food4Me, S. Frequent Nutritional Feedback, Personalized Advice, and Behavioral Changes: Findings from the European Food4Me Internet-Based RCT. American Journal of Preventive Medicine 2019, 57 (2), 209-219.


Curran, A. M.; Horner, K.; O'Sullivan, V.; Nongonierma, A. B.; Le Maux, S.; Murphy, E.; Kelly, P.; Fitzgerald, R. J.; Brennan, L. Variable glycemic responses to intact and hydrolysed milk proteins in overweight and obese adults reveal the need for precision nutrition. The Journal of Nutrition 2019, 149 (11), 88-97.


Horner, K.; Drummond, E.; O'Sullivan, V.; S C Sri Harsha, P.; Brennan, L. Effects of a casein hydrolysate versus intact casein on gastric emptying and amino acid responses. European Journal of Nutrition 2019, 58, 955-964.


Uzhova, I.; Woolhead, C.; Timon, C. M.; O'Sullivan, A.; Brennan, L.; Peñalvo, J. L.; Gibney, E. R. Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey). Nutrients 2018, 10 (3), 310.


Praticò, G.; Gao, Q.; Scalbert, A.; Vergères, G.; Kolehmainen, M.; Manach, C.; Brennan, L.; Pedapati, S. H.; Afman, L. A.; Wishart, D. S.; Vázquez-Fresno, R.; Andres-Lacueva, C.; Garcia-Aloy, M.; Verhagen, H.; Feskens, E. J. M.; Dragsted, L. O. Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery. Genes & Nutrition 2018, 13 (Electronic-eCollection), 13 (3).


O’Sullivan, V.; Madrid-Gambin, F.; Alegra, T.; Gibbons, H.; Brennan, L. Impact of Sample Storage on the NMR Fecal Water Metabolome. ACS Omega 2018, 3 (12), 16585-16590.


Navas-Carretero, S.; San-Cristobal, R.; Livingstone, K. M.; Celis-Morales, C.; Marsaux, C. F.; Macready, A. L.; Fallaize, R.; O'Donovan, C. B.; Forster, H.; Woolhead, C.; Moschonis, G.; Lambrinou, C. P.; Jarosz, M.; Manios, Y.; Daniel, H.; Gibney, E. R.; Brennan, L.; Walsh, M. C.; Drevon, C. A.; Gibney, M.; Saris, W. H. M.; Lovegrove, J. A.; Mathers, J. C.; Martinez, J. A.; Food4Me, S. Higher vegetable protein consumption, assessed by an isoenergetic macronutrient exchange model, is associated with a lower presence of overweight and obesity in the web-based Food4me European study. International Journal of Food Sciences and Nutrition 2018, 70 (2), 1-14.


Manios, Y.; Moschonis, G.; Lambrinou, C. P.; Mavrogianni, C.; Tsirigoti, L.; Hoeller, U.; Roos, F. F.; Bendik, I.; Eggersdorfer, M.; Celis-Morales, C.; Livingstone, K. M.; Marsaux, C. F. M.; Macready, A. L.; Fallaize, R.; O'Donovan, C. B.; Woolhead, C.; Forster, H.; Walsh, M. C.; Navas-Carretero, S.; San-Cristobal, R.; Kolossa, S.; Hallmann, J.; Jarosz, M.; Surwiłło, A.; Traczyk, I.; Drevon, C. A.; van Ommen, B.; Grimaldi, K.; Matthews, J. N. S.; Daniel, H.; Martinez, J. A.; Lovegrove, J. A.; Gibney, E. R.; Brennan, L.; Saris, W. H. M.; Gibney, M.; Mathers, J. C. Associations of vitamin D status with dietary intakes and physical activity levels among adults from seven European countries: the Food4Me study. European Journal of Nutrition 2018,  57 (4), 1357-1368.


Lindsay, K. L.; Brennan, L.; Rath, A.; Maguire, O. C.; Smith, T.; McAuliffe, F. M. Gestational weight gain in obese pregnancy: impact on maternal and foetal metabolic parameters and birthweight. Journal of Obstetrics and Gynaecology 2018, 38 (1), 60-65.


Li, K.; Brennan, L.; Bloomfield, J. F.; Duff, D. J.; McNulty, B. A.; Flynn, A.; Walton, J.; Gibney, M. J.; Nugent, A. P. Adiposity Associated Plasma Linoleic Acid is Related to Demographic, Metabolic Health and Haplotypes of FADS1/2 Genes in Irish Adults. Molecular Nutrition & Food Research 2018, 62 (7), 1700785.


Lindsay, K. L.; Brennan, L.; Kennelly, M. A.; Curran, S.; Coffey, M.; Smith, T. P.; Foley, M. E.; Hatunic, M.; McAuliffe, F. M. Maternal metabolic response to dietary treatment for impaired glucose tolerance and gestational diabetes mellitus. Irish Journal of Medical Science 2018, 187 (3), 701-708.


Kirwan, J. A.; Brennan, L.; Broadhurst, D.; Fiehn, O.; Cascante, M.; Dunn, W. B.; Schmidt, M. A.; Velagapudi, V. Preanalytical Processing and Biobanking Procedures of Biological Samples for Metabolomics Research: A White Paper, Community Perspective (for "Precision Medicine and Pharmacometabolomics Task Group"-The Metabolomics Society Initiative). Clinical Chemistry 2018, 64 (8), 1158-1182.


Fiamoncini, J.; Rundle, M.; Gibbons, H.; Thomas, E. L.; Geillinger-Kästle, K.; Bunzel, D.; Trezzi, J. P.; Kiselova-Kaneva, Y.; Wopereis, S.; Wahrheit, J.; Kulling, S. E.; Hiller, K.; Sonntag, D.; Ivanova, D.; van Ommen, B.; Frost, G.; Brennan, L.; Bell, J.; Daniel, H. Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss-mediated metabolic improvements. The FASEB Journal 2018, 32 (10), 5447-5458.


Fatima, A.; Connaughton, R. M.; Weiser, A.; Murphy, A. M.; O'Grada, C.; Ryan, M.; Brennan, L.; O'Gaora, P.; Roche, H. M. Weighted Gene Co-Expression Network Analysis Identifies Gender Specific Modules and Hub Genes Related to Metabolism and Inflammation in Response to an Acute Lipid Challenge. Molecular Nutrition & Food Research 2018, 62 (2), 1700388.


Fallaize, R.; Livingstone, K. M.; Celis-Morales, C.; Macready, A. L.; San-Cristobal, R.; Navas-Carretero, S.; Marsaux, C. F. M.; O'Donovan, C. B.; Kolossa, S.; Moschonis, G.; Walsh, M. C.; Gibney, E. R.; Brennan, L.; Bouwman, J.; Manios, Y.; Jarosz, M.; Martinez, J. A.; Daniel, H.; Saris, W. H. M.; Gundersen, T. E.; Drevon, C. A.; Gibney, M. J.; Mathers, J. C.; Lovegrove, J. A. Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study. Nutrients 2018, 10 (49).


Drummond, E.; Flynn, S.; Whelan, H.; Nongonierma, A. B.; Holton, T. A.; Robinson, A.; Egan, T.; Cagney, G.; Shields, D. C.; Gibney, E. R.; Newsholme, P.; Gaudel, C.; Jacquier, J. C.; Noronha, N.; FitzGerald, R. J.; Brennan, L. Casein Hydrolysate with Glycemic Control Properties: Evidence from Cells, Animal Models, and Humans. Journal of Agricultural and Food Chemistry 2018, 66 (17), 4352-4363.


Curran, A. M.; Scott-Boyer, M. P.; Kaput, J.; Ryan, M. F.; Drummond, E.; Gibney, E. R.; Gibney, M. J.; Roche, H. M.; Brennan, L. A proteomic signature that reflects pancreatic beta-cell function. PloS One 2018, 13 (8), e0202727.


Celis-Morales, C.; Livingstone, K. M.; Affleck, A.; Navas-Carretero, S.; San-Cristobal, R.; Martinez, J. A.; Marsaux, C. F. M.; Saris, W. H. M.; O'Donovan, C. B.; Forster, H.; Woolhead, C.; Gibney, E. R.; Walsh, M. C.; Brennan, L.; Gibney, M.; Moschonis, G.; Lambrinou, C. P.; Mavrogianni, C.; Manios, Y.; Macready, A. L.; Fallaize, R.; Lovegrove, J. A.; Kolossa, S.; Daniel, H.; Traczyk, I.; Drevon, C. A.; Mathers, J. C. Correlates of overall and central obesity in adults from seven European countries: findings from the Food4Me Study. European Journal of Clinical Nutrition 2018, 72 (2), 207-219.


Brennan, L.; S.C Sri Harsha, P.; Abdul Wahab, R.; Cuparencu, C.; Dragsted, L. O. A Metabolomics Approach to the Identification of Urinary Biomarkers of Pea Intake. Nutrients 2018, 10 (12), 1911.




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