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Professor Will Herrington

Professor Will Herrington

Contact information


will.herrington@ndph.ox.ac.uk


+44 (0)1865 743926


Twitter: @willkidney

Websites

Will Herrington

MA, MBBS, MD, FRCP, FERA

Professor of Trials and Epidemiology of Kidney Disease, Renal Studies Group

  • Professor of Trials and Epidemiology of Kidney Disease
  • Honorary Consultant Nephrologist, Oxford Kidney Unit

BIOGRAPHY

Professor Will Herrington is a clinician scientist based at Oxford Population Health, and a practising Honorary Consultant Nephrologist at Oxford Kidney Unit. He jointly leads the Renal Studies Group which he joined in 2010 as a Clinical Research Fellow and trained on landmark renal trials (SHARP, 3C and UKHARP3).

He is Chief Investigator of the EASi-KIDNEYTM trial and the EMPA-KIDNEY trial which tested the effects of empagliflozin 10mg versus placebo on cardiorenal outcomes in 6609 people with chronic kidney disease with and without diabetes.

The trial has now entered a post-trial observational follow-up phase and is developing health economic analyses. The biobank of leftover biological samples is being analysed to better understand the mechanism of action and metabolic effects of sodium glucose co-transporter-2 (SGLT-2) inhibitors like empagliflozin.

He has participated on a number of clinical practice guideline working groups, including with the European Society of Cardiology, UK Kidney Association, and K/DIGO. He is also interested in trial methodology and chaired the UK Renal Trials Network from 2020-2024.

His epidemiological research aims to better understand the key determinants of kidney disease development and progression (and its associated complications) using observations from large blood-based prospective cohorts across a wide range of different populations.

He has a particular focus on adiposity and its related risk factors, and how these may interlink to also cause cardiovascular disease. He is also focusing on how novel urine biomarkers could better assess effects of treatments on the kidney and predict progression.

Key publications

Recent publications

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