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Investigating the genetic and immunological mechanisms of diabetes across species to elucidate disease mechanisms relevant to human and animal health.

UMAP visualisation of single-cell transcriptomic data from pancreatic islets collected prior to the onset of overt diabetes. Each point represents an individual cell, positioned according to similarities in gene expression profiles. Distinct clusters correspond to major islet cell types, including insulin-producing β cells, glucagon-producing α cells and supporting endocrine populations. This analysis reveals early cellular and transcriptional changes that occur before clinical diabetes develops, providing insight into disease heterogeneity and mechanisms underlying diabetes susceptibility.
UMAP visualisation of single-cell transcriptomic data from pancreatic islets collected prior to the onset of overt diabetes. Each point represents an individual cell, positioned according to similarities in gene expression profiles. Distinct clusters correspond to major islet cell types, including insulin-producing β cells, glucagon-producing α cells and supporting endocrine populations. This analysis reveals early cellular and transcriptional changes that occur before clinical diabetes develops, providing insight into disease heterogeneity and mechanisms underlying diabetes susceptibility.

Research and group aims: The research group led by Dr Davison investigates the genetic, immunological and cellular mechanisms underlying diabetes mellitus and related endocrine and inflammatory diseases, using a comparative, cross-species approach. A central aim of the group is to understand how naturally occurring genetic variation, immune dysregulation and tissue-specific mechanisms contribute to disease susceptibility, heterogeneity and progression, particularly in complex and autoimmune forms of diabetes. Alongside core work in diabetes, the group undertakes related projects in pancreatic disease, endocrine tumours, immunometabolism and inflammatory disorders, reflecting shared biological pathways across conditions.

The group integrates population genetics, whole-genome sequencing, transcriptomics, single-cell biology, electrophysiology and functional genomics  approaches with detailed clinical phenotyping in companion animals, alongside parallel analyses in human and experimental datasets. Naturally occurring disease in dogs, cats and other species is used as a powerful model to study disease mechanisms in real-world settings, including shared environmental exposures. Through this work, the group seeks to identify conserved biological pathways and generate mechanistic insight relevant to human disease, while also improving diagnosis and management in veterinary patients.

Our team

Latest news

Two new DPAG Associate Professors

Congratulations are in order to Associate Professor Nicol Harper and Associate Professor Dan Li.

HCQ with antibiotics to treat COVID-19 could be dangerous for the heart

DPAG researchers have collaborated on an international study that demonstrates a detailed mechanistic understanding of how the anti-malaria drug, Hydroxychloroquine, combined with antibiotics, can cause adverse cardiac side-effects in COVID-19 patients. This gives weight to US Federal advice against using this combined treatment.

Selected publications

The release of GLP-1 from gut L cells is inhibited by low extracellular pH.

Journal article

Garbutt P. et al, (2024), Obesity (Silver Spring), 32, 1819 - 1824

loss-of-function mutation in KCNJ11 causing sulfonylurea-sensitive diabetes in early adult life.

Journal article

Vedovato N. et al, (2024), Diabetologia, 67, 940 - 951

The dynamic interplay of PIP2 and ATP in the regulation of the KATP channel.

Journal article

Pipatpolkai T. et al, (2022), J Physiol, 600, 4503 - 4519

Related research themes

We use the full range of modern molecular genetic and imaging techniques to study a range of metabolic areas.
Metabolism & Endocrinology

We use the full range of modern molecular genetic ...