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Professor Will Herrington

Professor Will Herrington

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
  • Co-lead, Renal Studies Group, MRC Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit, NDPH, Univ. of Oxford
  • Honorary Consultant Nephrologist, Oxford Kidney Unit

BIOGRAPHY

Professor Will Herrington is a clinician scientist based at the Nuffield Department of Population Health, University of Oxford 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-KIDNEY trial (which is due to start recruitment in 2024) 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 is on a number of clinical practice guideline working groups, and co-chairs the UK Kidney Association guideline group responsible for recommendations on the use of SGLT-2 inhibitors in adults with kidney disease. He is also interested in trial methodology and has chaired the UK Renal Trials Network since 2020.

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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