Publications

Publication: Journal of Clinical Oncology

Bhattacharya IS, Haviland JS, Kirby AM, Kirwan CC, Hopwood P, Yarnold JR, et al.

11 December 2018

Publication: American Journal of Human Biology

Lee JC, Westgate K, Boit MK, Mwaniki DL, Kiplamai FK, Friis H, et al.

10 December 2018

Physical activity is beneficial for metabolic health but the extent to which this may differ by ethnicity is still unclear. Here, the objective was to characterize the association between physical activity energy expenditure (PAEE) and cardiometabolic risk among the Luo, Kamba, and Maasai ethnic groups of rural Kenya.

In a cross-sectional study of 1084 rural Kenyans, free-living PAEE was objectively measured using individually-calibrated heart rate and movement sensing. A clustered metabolic syndrome risk score (zMS) was developed by averaging the sex-specific z-scores of five risk components measuring central adiposity, blood pressure, lipid levels, glucose tolerance, and insulin resistance.

zMS was 0.08 (−0.09; −0.06) SD lower for every 10 kJ/kg/day difference in PAEE after adjustment for age and sex; this association was modified by ethnicity (interaction with PAEE P < 0.05).

When adjusted for adiposity, each 10 kJ/kg/day difference in PAEE was predicted to lower zMS by 0.04 (−0.05, −0.03) SD, without evidence of interaction by ethnicity. The Maasai were predicted to have higher cardiometabolic risk than the Kamba and Luo at every quintile of PAEE, with a strong dose-dependent decreasing trend among all ethnicities.

Free-living PAEE is strongly inversely associated with cardiometabolic risk in rural Kenyans. Differences between ethnic groups in this association were observed but were explained by differences in central adiposity. Therefore, targeted interventions to increase PAEE are more likely to be effective in subgroups with high central adiposity, such as Maasai with low levels of PAEE.

Publication: Genome Medicine

Sanchis-Juan A, Stephens J, French CE, Gleadall N, Megy K, Penkett C, et al.

7 December 2018

Publication: Neuroimage

Cury C, Durrleman S, Cash DM, Lorenzi M, Nicholas JM, Bocchetta M, et al.

6 December 2018

Publication: BMJ Open

Parkes M, Noor NM, Dowling F, Leung H, Bond S, Whitehead L, et al.

5 December 2018

Publication: PLoS Genetics

Darlay R, Ayers KL, Mells GF, Hall LS, Liu JZ, Almarri MA, et al.

3 December 2018

Publication: Nature Medicine

Swarup V, Hinz FI, Rexach JE, Noguchi KI, Toyoshiba H, Oda A, et al.

3 December 2018

Publication: Nature Communications

Park SE, Pham DT, Boinett C, Wong VK, Pak GD, Panzner U, et al.

30 November 2018

Publication: The Journal of Nervous and Mental Disease

Mezquida G, Fernandez-Egea E, Treen D, Mane A, Berge D, Savulich G, et al.

Novermber 2018

Publication: Biomaterials

Ng SS, Saeb-Parsy K, Blackford SJI, Segal JM, Serra MP, Horcas-Lopez M, No DY, Mastoridis S, Jassem W, Frank CW, Cho NJ, Nakauchi H, Glenn JS, Rashid ST. Biomaterials.

November 2018

Publication: Journal of Alzheimer's Disease,

Moylett S, Price A, Cardinal RN, Aarsland D, Mueller C, Stewart R, O’Brien JT.

28 November 2018

Publication: Nature

Margherita Y. Turco, Lucy Gardner, Richard G. Kay, Russell S. Hamilton, Malwina Prater, Michael S. Hollinshead, Alasdair McWhinnie, Laura Esposito, Ridma Fernando, Helen Skelton, Frank Reimann, Fiona M. Gribble, Andrew Sharkey, Steven G. E. Marsh, Stephen O’Rahilly, Myriam Hemberger, Graham J. Burton & Ashley Moffett

28 November 2018

Summary:

During pregnancy a complex interaction between the mother and the embryo/fetus takes part to secure placental provision of nutrients to the fetus. Human models of this interaction, involving so called trophoblast invasion, had not been established, making it difficult to study this process, that results in life threatening diseases when it goes wrong.

The laboratory of Aschley Moffett, who led this research, established a new organoid model for human trophoblast/placenta development. Our contribution was LC-MS/MS showing that this model faithfully produced pregnancy related hormones.

This organoid model will be transformative for studying human placental development and for investigating trophoblast interactions with the local and systemic maternal environment.

Publication: International Journal of Behavioral Nutrition and Physical Activity

Hajna S, White T, Brage S, van Sluijs EMF, Westgate K, Jones AP, et al.

27 November 2018

Publication: Oxford Academic

Lisa Pennells, Stephen Kaptoge, AngelaWood, Mike Sweeting , Xiaohui Zhao, Ian White, Stephen Burgess, Peter Willeit, Thomas Bolton, Karel G.M. Moons, Yvonne T. van der Schouw, Randi Selmer, Kay-Tee Khaw, Vilmundur Gudnason, Gerd Assmann, Philippe Amouyel, Veikko Salomaa, Mika Kivimaki, Børge G. Nordestgaard, Michael J. Blaha, Lewis H. Kuller, Hermann Brenner, Richard F. Gillum, Christa Meisinger, Ian Ford, MatthewW. Knuiman, Annika Rosengren, Debbie A. Lawlor, Henry Vo¨ lzke, Cyrus Cooper, Alejandro Marı´n Iba~nez, Edoardo Casiglia, Jussi Kauhanen, Jackie A. Cooper, Beatriz Rodriguez, Johan Sundstro¨m, Elizabeth Barrett-Connor, Rachel Dankner, Paul J. Nietert, KarinaW. Davidson, Robert B.Wallace, Dan G. Blazer, Cecilia Bjo¨ rkelund, Chiara Donfrancesco, Harlan M. Krumholz, Aulikki Nissinen, Barry R. Davis, Sean Coady, Peter H.Whincup, Torben Jørgensen, Pierre Ducimetiere, Maurizio Trevisan, Gunnar Engstro¨m, Carlos J. Crespo, TomW. Meade,  Marjolein Visser, Daan Kromhout, Stefan Kiechl, Makoto Daimon, Jackie F. Price, Agustin Go´mez de la Ca´mara, JWouter Jukema, Benoıˆt Lamarche, Altan Onat, Leon A. Simons, Maryam Kavousi, Yoav Ben-Shlomo, John Gallacher, Jacqueline M. Dekker, Hisatomi Arima, Nawar Shara, RobertW. Tipping, Ronan Roussel, Eric J Brunner, Wolfgang Koenig, Masaru Sakurai, Jelena Pavlovic, Ron T. Gansevoort, Dorothea Nagel, Uri Goldbourt, Elizabeth L.M. Barr, Luigi Palmieri, Inger Njølstad, Shinichi Sato,W.M. Monique Verschuren, Cherian V. Varghese, Ian Graham, Oyere Onuma, Philip Greenland, MarkWoodward, Majid Ezzati, Bruce M. Psaty, Naveed Sattar, Rod Jackson, Paul M. Ridker, Nancy R. Cook, Ralph B. D’Agostino, Sr, Simon G Thompson, John Danesh, Emanuele Di Angelantonio

22 November 2018

Publication: Frontiers in Psychiatry

Savulich G, Jeanes H, Rossides N, Kaur S, Zacharia A, Robbins TW, et al.

21 November 2018

Publication: European Journal of Radiology

Barrett T, Lawrence EM, Priest AN, Warren AY, Gnanapragasam VJ, Gallagher FA, et al.

17 November 2018

Publication: Public Health Nutrition

Dao MC, Subar AF, Warthon-Medina M, Cade JE, Burrows T, Golley RK, et al.

15 November 2018

A wide variety of methods are available to assess dietary intake, each one with different strengths and weaknesses. Researchers face multiple challenges when diet and nutrition need to be accurately assessed, particularly in the selection of the most appropriate dietary assessment method for their study. The goal of this collaborative work is to present a collection of available resources for dietary assessment implementation.

As a follow-up to the 9th International Conference on Diet and Physical Activity Methods held in 2015, developers of dietary assessment toolkits agreed to collaborate in the preparation of the present paper, which provides an overview of each toolkit.

The toolkits presented include: the Diet, Anthropometry and Physical Activity Measurement Toolkit (DAPA; UK); the National Cancer Institute’s (NCI) Dietary Assessment Primer (USA); the Nutritools website (UK); the Australasian Child and Adolescent Obesity Research Network (ACAORN) method selector (Australia); and the Danone Dietary Assessment Toolkit (DanoneDAT; France). An at-a-glance summary of features and comparison of the toolkits is provided.

The present review contains general background on dietary assessment, along with a summary of each of the included toolkits, a feature comparison table and direct links to each toolkit, all of which are freely available online.

This overview of dietary assessment toolkits provides comprehensive information to aid users in the selection and implementation of the most appropriate dietary assessment method, or combination of methods, with the goal of collecting the highest-quality dietary data possible.

Publication: The Journal of Clinical Endocrinology & Metabolism

Zheng JS, Imamura F, Sharp SJ, van der Schouw YT, Sluijs I, Gundersen TE, et al.

9 November 2018

Publication: Brain

Surendranathan A, Su L, Mak E, Passamonti L, Hong YT, Arnold R, et al.

6 November 2018

Publication: Nutrients

Jenkins B, Aoun M, Feillet-Coudray C, Coudray C, Ronis M, Koulman A.

3 November 2018