Publications

The latest list of publications from the NIHR Cambridge Biomedical Research Centre with a brief summary. 

If you are publishing research which has had funding and / or support from the NIHR Cambridge Biomedical Research Centre, please complete this form

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Publication: Cancer Research

Ramona Woitek, Mary McLean , Stephan Ursprung, Oscar M Ruedae, Raquel Manzano Garcia, Matthew Locke, Lucian Beer, Gabrielle Baxter, Leonardo Rundo, Elena Provenzano , Joshua Kaggie , Andrew Patterson, Amy Frarya, Johanna Field-Raynera,b , Vasiliki Papalouka , Justine Kaneg, Arnold Benjamin, Andrew B Gill , Andrew Priest , David Lewis, Roslin Russell, Ashley Grimmera, , Brian Whitea , Beth Latimer-Bowmana, , Ilse Patterson, Amy Schiller , Bruno Carmo , Rhys Slough , Titus Lanzk , James Wason, Rolf Schultel, Suet-Feung Chine, Martin J Graves, Fiona J Gilbert, Jean E Abraham, Carlos Caldase, Kevin M Brindle , Evis Sala Ferdia A Gallagher

8 October 2021


Summary

Hyperpolarised carbon-13 MRI was used to detect response to neoadjuvant chemotherapy in patients with early breast cancer around one week after the start of treatment.

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Publication: Pediatric Obesity

Inge A.L.P. van Beijsterveldt, Stuart G. Snowden, Pernille Neve Myers, Kirsten S. de Fluiter, Bert van de Heijning, Susanne Brix, Ken K. Ong, David B. Dunger, Anita C.S. Hokken-Koelega, Albert Koulman

13 October 2021


Summary

Early life is a critical window for adiposity (the quality or state of fat) programming. Metabolic-profile in early life may reflect this programming and correlate with later life adiposity. Researchers investigated if metabolic-profile at 3 months of age is predictive for body composition at 2 years and if there are differences between boys and girls and between infant feeding types.

 

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Publication: New England Journal of Medicine

Edson Mendes de Oliveira, Julia M. Keogh, Fleur Talbot, Elana Henning, Rachel Ahmed, Aliki Perdikari, Rebecca Bounds, Natalia Wasiluk, Vikram Ayinampudi, Inês Barroso, Jacek Mokrosiński,  Deepthi Jyothish, Sharon Lim, Sanjay Gupta, Melanie Kershaw, Cristina Matei,  Praveen Partha, Tabitha Randell, Antoinette McAulay, Louise C. Wilson, Tim Cheetham, Elizabeth C. Crowne, Peter Clayton, and I. Sadaf Farooqi,

06 October 2021


Summary

Single-gene disorders that involve mendelian inheritance are individually rare, but collectively they account for 1 in 100 births. Although genetic testing has traditionally been informed by clinical characteristics, next-generation sequencing now permits the unbiased testing of multiple genes.

This study involved a subgroup of patients with severe obesity and in whom mutations in known obesity genes had been ruled out. Researchers performed exome sequencing and targeted resequencing.

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Publication: BMC Infectious Diseases

Yogini V. Chudasama, Francesco Zaccardi, Clare L. Gillies, Cameron Razieh, Thomas Yates, David E. Kloecker, Alex V. Rowlands, Melanie J. Davies, Nazrul Islam, Samuel Seidu, Nita G. Forouhi & Kamlesh Khunti

4 September 2021


Summary

Pre-existing comorbidities (presence of one or more additional conditions usually occurring with a main health condition) have been linked to SARS-CoV-2 infection but evidence is sparse on the importance and pattern of multimorbidity (2 or more conditions) and severity of infection indicated by hospitalisation or mortality.

Researchers aimed to use a multimorbidity index developed specifically for COVID-19 to investigate the association between multimorbidity and risk of severe SARS-CoV-2 infection. The multimorbidity index may help identify individuals at higher risk for severe COVID-19 outcomes and provide guidance for tailoring effective treatment.

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Publication: American Journal of Clinical Nutrition

Kenneth H Brown, Sophie E Moore, Sonja Y Hess, Christine M McDonald, Kerry S Jones, Sarah R Meadows, Mari S Manger, Jennifer Coates, Silvia Alayon, Saskia J M Osendarp

1 September 2021


Summary

Micronutrient (MN) deficiencies can produce a broad range of adverse health problems. Young, preschool children and women of reproductive age in low- and middle-income countries are most affected by these deficiencies, but the true magnitude of the problems and their related disease burdens remain uncertain because of lack of reliable biomarker information on population MN status.

This report describes the current situation with regard to data availability, the reasons for the lack of relevant information, and the steps needed to correct this situation, including implementation of a multi-component MN Data Generation Initiative to advocate for critical data collection and provide related technical assistance, laboratory services, professional training, and financial support.

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Publication: The Journal of Nutrition

Kerry S Jones, Sarah R Meadows, Karen Chamberlain, Damon A Parkington, Dave Collins, Polly Page, Albert Koulman

26 August 2021


Summary

The measurement of micronutrient (small amounts of vitamins and minerals the body needs) status is essential to understand the health of individuals and populations, but there are limited data on the stability of micronutrients in whole blood. Researchers investigated the effect of delayed processing of whole blood on the stability of 25 micronutrient and selected clinical biomarkers.

 

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Publication: Nature Medicine

Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado de Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores & Quanzheng Li

15 September 2021


Summary

In collaboration with 20 centres across the world, including Harvard and Nvidia, researchers ‘federate’ machine learning to improve the prediction of covid based on chest x-rays. This method allows use to show results without sharing patient data. Read the full press release.

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Publication: European Urology

David Thurtle, Val Jenkins, Alex Freeman, Mike Pearson, Gabriel Recchia, Priya Tamer, Kelly Leonard, Paul Pharoah, Jonathan Aning, Sanjeev Madaanh, Chee Goh,  Serena Hilman, Stuart McCracken, Petre Cristian, lie, Henry Lazarowicz, Vincent Gnanapragasam

4 September 2021


Summary

Predict Prostate is a Cambridge developed and validated risk communication tool for men with a new prostate cancer diagnosis. It is a CE marked web tool and endorsed by NICE. In this multicentre RCT national study, researchers assessed the impact of this individualised risk communication tool, on patient decision-making after a diagnosis of localised prostate cancer.

Men were randomly assigned to two groups, which received either standard counselling and information, or this in addition to a structured presentation of the Predict Prostate tool. Men who saw the tool were less conflicted and uncertain in their decision-making, and recommended the tool highly. Those who saw the tool had more realistic perception about their long-term survival and the potential impact of treatment upon this.

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Publication: The American Journal of the Medical Sciences

Sarah L. Cowan, Martin Wiegand, Jacobus Preller, Robert J.B. Goudie

August 23 2021


Summary

Using data extracted from CUH Epic on all patients admitted to CUH with COVID-19 between August 27, 2020 and April 16, 2021, researchers assessed the accuracy of the 4C Deterioration model (Gupta et al, Lancet Respir Med, 2021), a point-of-admission tool for predicting in-hospital clinical deterioration in these patients.

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Publication: Scientific Reports

Tomas I. Gonzales, Kate Westgate, Tessa Strain, Stefanie Hollidge, Justin Jeon, Dirk L. Christensen, Jorgen Jensen, Nicholas J. Wareham & Søren Brage

28 July 2021


Summary

High cardiorespiratory fitness is associated with improved health, but exercise tests to measure fitness can be risky for some people.

Researchers developed a novel method to estimate fitness from lower-risk personalised exercise tests. The validity of the new method outperformed previous methods. The team then applied it to examine associations between fitness and health outcomes in the UK Biobank Study. Again, the new method was better than other approaches: Fitness could be estimated in more study participants, and fitness-to-health relationships were stronger. These results reinforce the importance of cardiorespiratory fitness for human health.

 

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Publication: International Journal of Obesity

Tim Lindsay, Katrien Wijndaele, Kate Westgate, Paddy Dempsey, Tessa Strain, Emanuella De Lucia Rolfe, Nita G. Forouhi, Simon Griffin, Nick J. Wareham & Søren Brage

30 September 2021


Summary

Physical activity energy expenditure (PAEE) represents the total volume of all physical activity. Although volume and intensity have been studied in isolation, less is known about their joint association with health.

Researchers examined this association with body fatness in a population-based sample of middle-aged British adults in a large population-based cohort study with objective measures, PAEE was inversely associated with body fatness.

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Publication: BMJ Journal of Medical Genetics

Laurene Ben Aim,  Eamonn R Maher, Alberto Cascon, Anne Barlier, Sophie Giraud, Tonino Ercolino, Pascal Pigny, Roderick J Clifton-Bligh, Delphine Mirebeau-Prunier, Amira Mohamed, Judith Favier, Anne-Paule Gimenez-Roqueplo, Francesca Schiavi, Rodrigo A Toledo, Patricia L Dahia, Mercedes Robledo, Jean Pierre Bayley Nelly Burnichon,

31 August 2021


Summary

A total of 223 distinct SDHB variants from 737 patients were collected worldwide. Using multiple criteria, each variant was first classified according to a 5-tier grouping based on American College of Medical Genetics and NGSnPPGL standardised recommendations and was then manually reviewed by a panel of experts in the field

 

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