Research Centre for Optimal Health

Martin, S., Cule, M, Basty, N., Tyrrell, J., Beaumont, R.N., Wood, A.R., Frayling, T., Sorokin, E., Whitcher, B., Liu, Y., Bell, J.D., Thomas, E.L. and Yaghootkar, H. 2021. Genetic evidence for different adiposity phenotypes and their opposing influence on ectopic fat and risk of cardiometabolic disease. Diabetes. 70 (8), pp. 1843-1856. https://doi.org/10.2337/db21-0129

Abraham, Angela, Cule, M., Thanaj, M., Basty, N., Hashemloo, M.A., Sorokin, E., Whitcher, B., Burgess, S., Bell, J.D., Sattar, N., Thomas, E.L. and Yaghootkar, H. 2024. Genetic evidence for distinct biological mechanisms that link adiposity to type 2 diabetes: towards precision medicine. Diabetes. Advanced online publication. https://doi.org/10.2337/db23-1005

Wilman, H.R., Parisinos, C.A., Atabaki-Pasdar, N., Kelly, M., Thomas, E.L., Neubauer, S., Mahajan, A., Hingorani, A.D., Patel, R.S., Hemingway, H., Franks, P.W., Bell, J.D., Banerjee, R. and Yaghootkar, H. 2019. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration. Journal of Hepatology. 71 (3), pp. 594-602. https://doi.org/10.1016/j.jhep.2019.05.032

Inkster, B., Rao, A.W., Ridler, K., Filippini, N., Whitcher, B., Nichols, T.E., Wetten, S., Gibson, R.A., Borrie, M., Kertesz, A., Guzman, D.A., Loy-English, I., Williams, J., Saemann, P.G., Auer, D.P., Holsboer, F., Tozzi, F., Muglia, P., Merlo-Pich, E. and Matthews, P.M. 2012. Genetic variation in GOLM1 and prefrontal cortical volume in Alzheimer's disease. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2010.04.018

Ji, Y., Yiorkas, A.M., Frau, F., Mook-Kanamori, D., Staiger, H., Thomas, E.L., Atabaki-Pasdar, N., Campbell, A., Tyrrell, J., Jones, S.E., Beaumont, R.N., Wood, A.R., Tuke, M.A., Ruth, K.S., Mahajan, A., Murray, A., Freathy, R.M., Weedon, M.N., Hattersley, A.T., Hayward, C., Machann, J., Häring, H.U., Franks, P.W., de Mutsert, R., Pearson, E., Stefan, N., Frayling, T.M., Allebrandt, K.V., Bell, J.D., Blakemore, A.I. and Yaghootkar, H. 2019. Genome-wide and abdominal MRI-imaging data provides evidence that a genetically determined favourable adiposity phenotype is characterized by lower ectopic liver fat and lower risk of type 2 diabetes, heart disease and hypertension. Diabetes. 68 (1), pp. 207-219. https://doi.org/10.2337/db18-0708

Parisinos, C.A., Wilman, H., Thomas, E.L., Kelly, M., Nicholls, R.C., McGonigle, J., Neubauer, S., Hingorani, A.D., Patel, R.S., Hemingway, H., Bell, J.D., Banerjee, R and Yaghootkar, H. 2020. Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis. Journal of Hepatology. 73, pp. 241-51. https://doi.org/10.1016/j.jhep.2020.03.032

Gerbault, P. 2016. Genomic analyses inform on migration events during the peopling of Eurasia. Nature. 538 (7624), pp. 238-242. https://doi.org/10.1038/nature19792

Whyte, M.B, Shojaee-Moradie, F., Sharaf, S.E., Cuthbertson, D.J., Kemp, G.J., Barrett, M., Jackson, N.C., Herring, R.A, Wright, J., Thomas, E.L., Bell, J.D. and Umpleby, A.M. 2020. HDL-apoA-I kinetics in response to 16 weeks exercise training in men with non-alcoholic fatty liver disease (NAFLD). American Journal of Physiology - Endocrinology and Metabolism. 318 (6), pp. E839-E847. https://doi.org/10.1152/ajpendo.00019.2020

Umpleby, A.M., Shoajee-Moradie, F., Fielding, F., Li, X., Marino, A., Alsini, N, Isherwood, C, Jackson, N.C., Ahmad, A., Stolinski, M., Lovegrove, J.A., Johnsen, S., Mendis, A., Wright, J., Wilinska, M.E., Hovorka, R., Bell, J.D., Thomas, E.L., Frost, G.S. and Griffin, B.A. 2017. Impact of liver fat on the differential partitioning of hepatic triacylglycerol into VLDL subclasses on high and low sugar diets. Clinical Science. 131 (21), pp. 2561-2573. https://doi.org/10.1042/CS20171208

Cuthbertson, D.J., Irwin, A., Gardner, C.J., Daousi, C., Purewal, T, Furlong, N, Goenka, N, Thomas, E.L., Adams, V.L., Pushpakom, SP, Pirmohamed, M and Kemp, G.J. 2012. Improved Glycaemia correlates with liver fat reduction in obese, type 2 diabetes, patients given glucagon-like peptide-1 (GLP-1) receptor agonists. PLoS ONE. 7 (12) e50117. https://doi.org/10.1371/journal.pone.0050117

Asaturyan, A.H., Basty, N., Thanaj, M., Whitcher, B., Thomas, E.L. and Bell, J.D. 2022. Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling. PLoS ONE. 17 (9) e0273171. https://doi.org/10.1371/journal.pone.0273171

Taylor-Robinson, S.D., Sargentoni, J., Bell, J.D., Thomas, E.L., Marcus, C.D., Changani, K.K., Saeed, N., Hodgson, H., Davidson, B.R., Burroughs, A.K., Rolles, K., Foster, C.S. and Cox, I.J. 1998. In vivo and in vitro hepatic phosphorus-31 magnetic resonance spectroscopy and electron microscopy in chronic ductopenic rejection of human liver allografts. Gut. 42 (5), pp. 735-43. https://doi.org/10.1136/gut.42.5.735

Sheridan, D.A., Shawa, I.T., Thomas, E.L., Felmlee, D.J., Bridge, S.H., Neely, D., Cobbold, J.F., Holmes, E., Bassendine, M.F. and Taylor-Robinson, S.D. 2022. Infection with the hepatitis C virus causes viral genotype-specific differences in cholesterol metabolism and hepatic steatosis. Scientific Reports. 12 5562. https://doi.org/10.1038/s41598-022-09588-w

So, P.W., Ekonomou, A., Galley, K., Brody, Leigh, Sahuri-Arisoylu, M., Rattray, I., Cash, D. and Bell, J.D. 2019. Intraperitoneal delivery of acetate-encapsulated liposomal nanoparticles for neuroprotection of the penumbra in a rat model of ischemic stroke. International Journal of Nanomedicine. 2019 (14), p. 1979–1991. https://doi.org/10.2147/IJN.S193965

Thanaj, M., Basty, N., Cule, M., Sorokin, E., Whitcher, B., Srinivasan, R., Lennon, R., Bell, J.D. and Thomas, E.L. 2023. Kidney Shape Statistical Analysis: Associations with Disease and Anthropometric Factors. BMC Nephrology. 24 362. https://doi.org/10.1186/s12882-023-03407-8

Fitzpatrick, J., Basty, N., Cule, M., Liu, Y., Bell, J.D., Thomas, E.L. and Whitcher, B. 2020. Large‑scale analysis of iliopsoas muscle volumes in the UK Biobank. Scientific Reports. 10 20215. https://doi.org/10.1038/s41598-020-77351-0

Mani, B.K., Puzziferri, N., He, Z., Rodriguez, J.A., Osborne-Lawrence, S., Metzger, N.P., Chhina, N., Gaylinn, B.D., Thorner, M.O., Thomas, E.L., Bell, J.D., Williams, K.W., Goldstone, A.P. and Zigman, J.M. 2019. LEAP2 changes with body mass and food intake in humans and mice. Journal of Clinical Investigation. 129 (9), pp. 3909-3923. https://doi.org/10.1172/JCI125332

Goldstone, A.P., Miras, A.D., Scholtz, S., Jackson, S., Neff, K.J., Pénicaud, L., Geoghegan, J., Chhina, N., Durighel, G., Bell, J.D., Meillon, S. and le Roux, C.W. 2016. Link between increased gut hormones signaling satiety and reduced food reward following gastric bypass surgery for obesity. Journal of Clinical Endocrinology and Metabolism. 101 (2), pp. 599-609. https://doi.org/10.1210/jc.2015-2665

Thanaj, M., Basty, N., Cule, M., Sorokin, E., Whitcher, B., Bell, J.D. and Thomas, E.L. 2024. Liver Shape Analysis using Statistical Parametric Maps at Population Scale. BMC Medical Imaging. 24 15. https://doi.org/10.1186/s12880-023-01149-5

Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81

Aldraimli, M., Soria, D., Parkinson, J., Thomas, E.L., Bell, J.D., Dwek, M. and Chaussalet, T.J. 2020. Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases. Health and Technology. 10, pp. 925-944. https://doi.org/10.1007/s12553-020-00446-1

Thanaj, M., Basty, N., Liu, Y., Cule, M., Sorokin, E., Thomas, E.L., Bell, J.D. and Whitcher, B. 2021. Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes. Annual Conference on Medical Image Understanding and Analysis. University of Oxford 12 - 14 Jul 2021 Springer. https://doi.org/10.1007/978-3-030-80432-9_13

McKay, A., Wilman, H., Dennis, A., Kelly, M., Gyngell, M.L., Neubauer, S., Bell, J.D., Banerjee, R. and Thomas, E.L. 2018. Measurement of liver iron by magnetic resonance imaging in the UK Biobank population. PLoS ONE. 13 (12) e0209340. https://doi.org/10.1371/journal.pone.0209340

Fitzgerald, M., Heinrich, M. and Booker, A. 2020. Medicinal plant analysis: A historical and regional discussion of Chinese publication trends and emergent complex techniques. Frontiers in Pharmacology. 10 1480. https://doi.org/10.3389/fphar.2019.01480

Heinrich, M., Jiang, H., Scotti, F., Booker, A., Walt, H., Weckerle, C. and Maake, C. 2021. Medicinal plants from the Himalayan region as potential novel antimicrobial and anti-inflammatory skin treatments. Journal of Pharmacy and Pharmacology. 73 (7), p. 956–967. https://doi.org/10.1093/jpp/rgab039

Schofield, S.E., Parkinson, J., Henley, A., Sahuri Arisoylu, M., Sanchez-Canon, G.J. and Bell, J.D. 2017. Metabolic dysfunction following weight cycling in male mice. International Journal of Obesity. 41 (3), pp. 402-411. https://doi.org/10.1038/ijo.2016.193

Woodley, S., Mould, R., Sahuri Arisoylu, M., Kalampouka, I., Booker, A. and Bell, J.D. 2021. Mitochondrial Function as a Potential Tool for Assessing Function, Quality and Adulteration in Medicinal Herbal Teas. Frontiers in Pharmacology. 12 660938. https://doi.org/10.3389/fphar.2021.660938

Evangelou, E., Gao, H., Chu, C., Ntritsos, G., Blakeley, P., Butts, A., Pazoki, R., Suzuki, H., Koskeridis, F., Yiorkas, A., Karaman, I., Elliott, J., Luo, Q., Aeschbacher, S., Bartz, T., Baumeister, S., Braund, P., Brown, M., Brody, J., Clarke, T., Dimou, N., Faul, J., Homuth, G., Jackson, A., Kentistou, K., Joshi, P., Lemaitre, R., Lind, P., Lyytikäinen, L., Mangino, M., Milaneschi, Y., Nelson, C., Nolte, I., Perälä, M., Polasek, O., Porteous, D., Ratliff, S., Smith, J., Stančáková, A., Teumer, A., Tuominen, S., Thériault, S., Vangipurapu, J., Whitfield, J., Wood, A., Yao, J., Yu, B., Zhao, W., Arking, D., Auvinen, J., Liu, C., Männikkö, M., Risch, L., Rotter, J., Snieder, H., Veijola, J., Blakemore, A., Boehnke, M., Campbell, H., Conen, D., Eriksson, J., Grabe, H., Guo, X., van der Harst, P., Hartman, C., Hayward, C., Heath, A., Jarvelin, M., Kähönen, M., Kardia, S., Kühne, M., Kuusisto, J., Laakso, M., Lahti, J., Lehtimäki, T., McIntosh, A., Mohlke, K., Morrison, A., Martin, N., Oldehinkel, A., Penninx, B., Psaty, B., Raitakari, O., Rudan, I., Samani, N., Scott, L., Spector, T., Verweij, N., Weir, D., Wilson, J., Levy, D., Tzoulaki, I., Bell, J.D., Matthews, P., Rothenfluh, A., Desrivières, S., Schumann, G. and Elliott, P. 2019. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nature Human Behaviour. 3 (9), pp. 950-961. https://doi.org/10.1038/S41562-019-0653-Z

Buckley, A., Thomas, E.L., Lessan, N., Trovato, F.M., Trovato, G.M. and Taylor-Robinson, S.D. 2018. Non-alcoholic fatty liver disease: relationship with cardiovascular risk markers and clinical endpoints. Diabetes Research and Clinical Practice. 144, pp. 144-152. https://doi.org/10.1016/j.diabres.2018.08.011

Mould, R., Kalampouka, I., Thomas, E.L., Guy, G., Nunn, A. and Bell, J.D. 2023. Non-chemical Signalling Between Mitochondria. Frontiers in Physiology. 14 1268075. https://doi.org/10.3389/fphys.2023.1268075

Machann, J., Stefan, N., Wagner, R., Fritsche, A., Bell, J.D., Whitcher, B., Häring, H.U., Birkenfeld, A., Nikolaou, K., Schick, F. and Thomas, E.L. 2020. Normalized indices derived from visceral adipose mass assessed by MRI and their correlation with markers for insulin resistance and prediabetes. Nutrients. 12 (7) 2064. https://doi.org/10.3390/nu12072064

Fiamoncini, J, Donado-Pestana, C.M., Duarte, G.B.S., Rundle, M, Thomas, E.L., Kiselova-Kaneva, Y., Gundersen, T.E., Bunzel, D., Trezzi, J.P., Kulling, S.E., Hiller, K., Sonntag, D., Ivanova, D., Brennan, L., Wopereis, S., van Ommen, B., Frost, G., Bell, J.D., Drevon, C.A. and Daniel, H. 2022. Plasma metabolic signatures of healthy overweight subjects challenged with an oral glucose tolerance test. Frontiers in Nutrition: Nutrition and Metabolism. https://doi.org/10.3389/fnut.2022.898782

Fiamoncini, J., Rundle, M., Gibbons, H., Thomas, E.L., Geillinger-Kästle, K., Bunzel, D., Trezzi, J.P., Kiselova-Kaneva, J., Wopereis, S., Wahrheit, J., Kulling, S.E., Hiller, K., Sonntag, D., Ivanova, D., van Ommen, B, Frost, G., Brennan, L., Bell, J.D. and Daniel, H. 2018. Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss–mediated metabolic improvements. FASEB Journal. 32 (10), p. 5447–5458. https://doi.org/10.1096/fj.201800330R

Whitcher, B., Thanaj, M., Cule, M., Liu, Y., Basty, N., Sorokin, E., Bell, J.D. and Thomas, E.L. 2022. Precision MRI Phenotyping Enables Detection of Small Changes in Body Composition for Longitudinal Cohorts. Scientific Reports. 12 3748. https://doi.org/10.1038/s41598-022-07556-y

Thanaj, M., Basty, N., Whitcher, B., Sorokin, E., Liu, Y., Srinivasan, R., Cule, M., Thomas, E.L. and Bell, J.D. 2024. Precision MRI phenotyping of muscle volume and quality at a population scale. Frontiers in Physiology. 15 1288657. https://doi.org/10.3389/fphys.2024.1288657

Atabaki-Pasdar, N., Ohlsson, M., Viñuela, A., Frau, F., Pomares-Millan, H., Haid, M., Jones, A., Thomas, E.L., Koivula, R., Kurbasic, A., Mutie, P., Fitipaldi, H., Fernandez, J., Dawed, A., Giordano, G., Forgie, I., McDonald, T., Rutters, F., Cederberg, H., Chabanova, E., Dale, M., Masi, F., Thomas, C., Allin, K., Hansen, T., Heggie, A., Hong, M., Elders, P., Kennedy, G., Kokkola, T., Pedersen, H., Mahajan, A., McEvoy, D., Pattou, F., Raverdy, V., Häussler, R., Sharma, S., Thomsen, H., Vangipurapu, J., Vestergaard, H., ‘t Hart, L., Adamski, J., Musholt, P., Brage, S., Brunak, S., Dermitzakis, E., Frost, G., Hansen, T., Laakso, M., Pedersen, O., Ridderstråle, M., Ruetten, H., Hattersley, A., Walker, M., Beulens, J., Mari, A., Schwenk, J., Gupta, R., McCarthy, M., Pearson, E., Bell, J.D., Pavo, I. and Franks, P. 2020. Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts. PLoS Medicine. 17 (6) e1003149. https://doi.org/10.1371/journal.pmed.1003149

Hand, J.W., Li, Y., Thomas, E.L., Rutherford, M.A. and Hajnal, J.V. 2006. Prediction of specific absorption rate in mother and fetus associated with MRI examinations during pregnancy. Magnetic Resonance in Medicine. 55 (4), pp. 883-93. https://doi.org/10.1002/mrm.20824

Nicolas Basty, Elena P. Sorokin, Marjola Thanaj, Brandon Whitcher, Yi Liu, Jimmy D. Bell, E. Louise Thomas and Madeleine Cule 2023. Preprint: Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architecture. medRxiv. https://doi.org/10.1101/2022.08.02.22278060

Thanaj, M., Basty, N., Cule, M., Sorokin, E., Whitcher, B., Srinivasan, R., Lennon, R., Bell, J.D. and Thomas, E.L. 2023. Preprint: Kidney Shape Statistical Analysis: Associations with Disease and Anthropometric Factors. medRxiv. https://doi.org/10.1101/2023.06.26.23291901

Thanaj, M., Basty, N., Cule, M., Sorokin, E.P., Whitcher, B., Bell, J.D. and Thomas, E.L. 2023. Preprint: Liver Shape Analysis using Statistical Parametric Maps at Population Scale. medRxiv. https://doi.org/10.1101/2022.08.18.22278951