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: 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: 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: 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: 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: 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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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

Na Cai, Aurora Gomez-Duran, Ekaterina Yonova-Doing, Kousik Kundu, Annette I. Burgess, Zoe J. Golder, Claudia Calabrese, Marc J. Bonder, Marta Camacho, Rachael A. Lawson, Lixin Li, Caroline H. Williams-Gray, Emanuele Di Angelantonio, David J. Roberts, Nick A. Watkins, Willem H. Ouwehand, Adam S. Butterworth, Isobel D. Stewart, Maik Pietzner, Nick J. Wareham, Claudia Langenberg, John Danesh, Klaudia Walter, Peter M.Rothwell, Joanna M. M. Howson, Oliver Stegle, Patrick F. Chinnery & Nicole Soranzo

23 August 2021


Summary

Researchers have identified associations between mtDNA variants and an amino acid, N-formylmethionine (fMet), and effects of fMet on the risk of developing a range of common, late-onset illnesses. Read the full story.

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Publication: Journal of Neurotrauma

Jeanette Tas, Erta Beqiri, Ruud C. van Kaam, Marek Czosnyka, Joseph Donnelly, Roel H. Haeren, Iwan C.C. van der Horst, Peter J. Hutchinson, Sander M.J. van Kuijk, Analisa L. Liberti, David K. Menon, Cornelia W.E. Hoedemaekers, Bart Depreitere, Peter Smielewski, Geert Meyfroidt, Ari Ercole, and Marcel J.H. Aries

16 August 2021


Summary

It is increasingly recognised that patients with traumatic brain injury (TBI) may benefit from individualised clinical management. Cerebral autoregulation (CA) may allow for maintaining cerebral blood flow for adequate energetic requirements in response to changes in mean arterial pressure (MAP), by means of vasoconstriction (the narrowing (constriction) of blood vessels by small muscles in their walls) and vasodilation (widening of blood vessels).

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Publication: International Journal of Geriatric Psychiatry

Chen S, Jones PB, Underwood BR, Fernández-Egea E, Qin P, Lewis JR, Cardinal RN

11 August 2021


Summary

Researchers studied patients over 65 known to CPFT mental health services during the early COVID-19 pandemic, and historical control groups (people known to have acquired COVID-19 itself did not take part). During lockdown, people with dementia or severe mental illness had a higher risk of death without confirmed COVID-19.

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Publication: Metabolites

Nancy McBride, Paul Yousefi, Ulla Sovio, Kurt Taylor, Yassaman Vafai, Tiffany Yang, Bo Hou, Matthew Suderman, Caroline Relton,  Gordon C. S. Smith, Deborah A. Lawlor

10 August 2021


Summary

Many women who experience gestational diabetes (GDM), gestational hypertension (GHT), pre-eclampsia (PE), have a spontaneous preterm birth (sPTB) or have an offspring born small/large for gestational age (SGA/LGA) do not meet the criteria for high-risk pregnancies based upon certain maternal risk factors. The aim of this study was to assess the predictive ability of an untargeted platform of over 700 metabolites to predict the above pregnancy-related disorders in two cohorts.

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Publication: Nature Medicine

Charlotte K. Boughton, Afroditi Tripyla, Sara Hartnell, Aideen Daly, David Herzig, Malgorzata E. Wilinska, Cecilia Czerlau, Andrew Fry, Lia Bally & Roman Hovorka 

04 August 2021


Summary

An artificial pancreas could soon help people living with type 2 diabetes and who also require kidney dialysis. Tests led by the University of Cambridge and Inselspital, University Hospital of Bern, Switzerland show that the device can help patients safely and effectively manage their blood sugar levels and reduce the risk of low blood sugar levels. Read the full press release.

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