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Endocrine Abstracts (2026) 117 P155 | DOI: 10.1530/endoabs.117.P155

SFEBES2026 Poster Presentations Metabolism, Obesity and Diabetes (68 abstracts)

Reversing obesity-induced type 2 diabetes in the NONcNZO10/ltJ polygenic mouse model: a multi-omics perspective from the liver

Brian Ford 1 , Ami Onishi 1 , Jair Junior 2 , Alex von Kreigshiem 2 , Nicholas Morton 3,1 & Ahmad Al-Mrabeh 1


1Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; 2Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom; 3Centre for Systems Health and Integrated Metabolic Research, Nottingham Trent University, Nottingham, United Kingdom


Background: The mechanistic basis of type 2 diabetes remission is challenging to model in humans. Insight into disease pathogenesis can be effectively studied in bespoke polygenic diabetes-susceptible models such as the NONcNZO10/ltJ mouse. We showed that this model develops impaired glucose tolerance and increased de novo lipogenesis (DNL) when fed a high sucrose diet (HSD) and that was reversed by calorie restriction (CR). Here, we provide a deeper molecular insight via comprehensive multi-omics analysis of the liver to elucidate molecular mechanisms underlying disease progression and remission.

Methods: NONcNZO10/ltJ mice (n = 12) were fed HSD for 12 weeks, after which half continued on HSD while the other half were switched to CR diet (30%) for 12 weeks. At 24 weeks, mice were euthanized, and liver tissues were snap-frozen at –80°C. Omics profiling—including transcriptomics, lipidomics, metabolomics, and kinomics—was performed using standardized protocols and analysed using in-house workflows.

Results: RNA-seq identified 334 differentially expressed genes (DEGs; 202↑,132↓) involved in many pathways including fatty acid metabolism (21 genes), neutral lipids storage (11 genes), long-chain fatty acid synthesis (9 genes), and regulation of lipid metabolic process (16 genes). Lipidomic and metabolomic analysis identified 44 lipids (19↑,25↓), and 58 compounds (33↑,25↓) significantly changed. Kinomic analysis identified 15 protein tyrosine kinases (PTKs; 10↑,5↓) and 19 serine/threonine kinases (STK; 16↓,3↓). Multi-omics data integration (transcriptomics, kinomics, and metabolomics) identified 38 enriched pathways, 10 of which were common across all three datasets. Notably, the sphingolipid signaling pathway emerged as a key shared pathway, involving critical targets such as Degs1l, Mapk12, Fyn, Pik3r1, and Pik3r3.

Conclusions: Our data identified several lipid-related hepatic targets significantly altered by CR in NONcNZO10/ltJ mice. These are currently being validated to clarify their roles in the DNL pathway and their potential as therapeutic targets.

Volume 117

Society for Endocrinology BES 2026

Harrogate, United Kingdom
02 Mar 2026 - 04 Mar 2026

Society for Endocrinology 

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