K

Kaimila, Y. ORCID: https://orcid.org/0000-0002-1650-9050, Olotu, O. A., Clegg, M. E., Jackson, K. G. ORCID: https://orcid.org/0000-0002-0070-3203 and Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455 (2025) Pulse and legume consumption is associated with a more optimal nutrient intake and a higher EAT-Lancet index in a representative UK population. European Journal of Nutrition, 64. 139. ISSN 1436-6215 doi: 10.1007/s00394-025-03611-2

Kelly, E. F.A. ORCID: https://orcid.org/0000-0002-1014-5567, Guney-Coskun, M., Weech, M. ORCID: https://orcid.org/0000-0003-1738-877X, Fallaize, R., Hwang, F. ORCID: https://orcid.org/0000-0002-3243-3869 and Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455 (2025) Exploring the dietary changes and support required for healthy eating with female students at UK universities: Findings from focus group discussions. PLoS ONE, 20 (4). e0319388. ISSN 1932-6203 doi: 10.1371/journal.pone.0319388

L

Lamarche, B., Astrup, A., Eckel, R. H., Feeney, E., Givens, I. ORCID: https://orcid.org/0000-0002-6754-6935, Krauss, R. M., Legrand, P., Micha, R., Michalski, M.-C., Soedamah-Muthu, S., Sun, Q. and Kok, F. J. (2025) Regular-fat and low-fat dairy foods and cardiovascular diseases: perspectives for future dietary recommendations. The American Journal of Clinical Nutrition. ISSN 0002-9165 doi: 10.1016/j.ajcnut.2025.03.009 (In Press)

Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455 (2025) Dietary fats and cardiometabolic health—from public health to personalised nutrition: ‘one for all’ and ‘all for one’. Nutrition Bulletin, 50 (1). pp. 132-141. ISSN 1471-9827 doi: 10.1111/nbu.12722

M

Macready, A. L. ORCID: https://orcid.org/0000-0003-0368-9336, Hieke, S., Klimczuk-Kochańska, M., Szumiał, S., Wachter, K., Arnoult, M. H., Vranken, L. and Grunert, K. G. (2025) Why trust is crucial – the moderating role of trust in the relationship between motivation and intention to buy healthy, sustainable and novel foods. Food Quality and Preference, 126. 105386. ISSN 1873-6343 doi: 10.1016/j.foodqual.2024.105386

W

Weaver, C. M. ORCID: https://orcid.org/0000-0002-5450-9609 and Givens, D. I. ORCID: https://orcid.org/0000-0002-6754-6935 (2025) Overview: the food matrix and its role in the diet. Critical Reviews in Food Science and Nutrition. ISSN 1549-7852 doi: 10.1080/10408398.2025.2453074

Witard, O. C., Devrim-Lampir, A., McKinley, M. C. and Givens, D. I. ORCID: https://orcid.org/0000-0002-6754-6935 (2025) Navigating the protein transition: why dairy and its matrix matter amid rising plant protein trends. Nutrition Research Reviews. ISSN 1475-2700 doi: 10.1017/S0954422425000101 (In Press)

Wuni, R., Curi-Quinto, K., Liu, L., Espinoza, D., Aquino, A. I., del Valle-Mendoza, J., Aguilar-Luis, M. A., Murray, C., Nunes, R. ORCID: https://orcid.org/0000-0003-0829-4130, Methven, L., Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455, Penny, M., Favara, M., Sánchez, A. and Santhanakrishnan Vimaleswaran, K. ORCID: https://orcid.org/0000-0002-8485-8930 (2025) Interaction between genetic risk score and dietary carbohydrate intake on high-density lipoprotein cholesterol levels: findings from the study of obesity, nutrition, genes and social factors (SONGS). Clinical Nutrition ESPEN, 66. pp. 83-92. ISSN 2405-4577 doi: 10.1016/j.clnesp.2024.12.027

Z

Zhu, X., Gayathri, R., Sriram Manasa, V., Abirami, K., Bhupathiraju, S. N., Mohan Anjana, R., Givens, D. I. ORCID: https://orcid.org/0000-0002-6754-6935, Wijeyesekera, A. ORCID: https://orcid.org/0000-0001-6151-5065, Sudha, V., Mohan, V. and Vimaleswaran, K. S. ORCID: https://orcid.org/0000-0002-8485-8930 (2025) Effects of lacto-vegetarian and vegan diets on glycemic responses and metabolite profiles in healthy adults: a randomized trial using continuous glucose monitoring and targeted metabolomics. Clinical Nutrition, 49. pp. 138-148. ISSN 1532-1983 doi: 10.1016/j.clnu.2025.04.018

Zhu, X., Ventura, E. F., Bansal, S., Wijeyesekera, A. ORCID: https://orcid.org/0000-0001-6151-5065 and Vimaleswaran, K. S. ORCID: https://orcid.org/0000-0002-8485-8930 (2025) Integrating genetics, metabolites, and clinical characteristics in predicting cardiometabolic health outcomes using machine learning algorithms - a systematic review. Computers in Biology and Medicine, 186. 109661. ISSN 1879-0534 doi: 10.1016/j.compbiomed.2025.109661