We all get old. Whilst this can be graceful, it’s often associated with an increased incidence of physiological complications. Loss of kidney function in ageing may be mitigated against if we could identify changes at the earliest opportunity. However, studying this process in humans at a molecular and cellular level is extremely difficult, so model organisms are required.
British Heart Foundation funded research conducted at BU and led by Dr Paul Hartley has recently contributed to this field by looking at how fruit fly nephrocytes grow old. These cells, despite millions of years of evolution, share the same ‘filtration genes’ as human kidney cells called podocytes.
The research indicates that fruit fly nephrocytes grow old in a manner similar to podocytes and other kidney cells. This now sets the stage for future work aiming to identify biomarkers of failing kidneys.
The image shows different filtration proteins (denoted by different colours) on young (1 week) and old (6 week) nephrocytes. As the cells age, these filtration proteins are no longer maintained (arrow and asterisk) and the cells lose function. Scale bar = 25 microns.
Strong Presence of BU at UK Kidney Week










SPROUT Returns: Designing Sustainability in Research Practice – Wednesday 20 May 12-2pm
Innovative Approaches to Doctoral Supervision: Selected Case Studies
3C Event: Research Culture, Community & Canapés-Tuesday 19 May 1-2pm
New chapters published in maternity book on risk
The British Academy European Research Council Grant Support Sessions
Grant Writing Workshops: Master the Art of the Winning Proposal
Apply now to take part in the 2026 ESRC Festival of Social Science
Reminder: Register for the ESRC Festival of Social Science 2026 Information Session
ECR Funding Open Call: Research Culture & Community Grant – Apply now
ECR Funding Open Call: Research Culture & Community Grant – Application Deadline Friday 12 December
MSCA Postdoctoral Fellowships 2025 Call
ERC Advanced Grant 2025 Webinar
Update on UKRO services
European research project exploring use of ‘virtual twins’ to better manage metabolic associated fatty liver disease