Ageing is associated with molecular signatures of inflammation and type 2 diabetes in rat pancreatic islets
Open accessAbstract
AIMS/HYPOTHESIS: Ageing is a major risk factor for development of metabolic diseases such as type 2 diabetes. Identification of the mechanisms underlying this association could help to elucidate the relationship between age-associated progressive loss of metabolic health and development of type 2 diabetes. We aimed to determine molecular signatures during ageing in the endocrine pancreas. METHODS: Global gene transcription was measured in pancreatic islets isolated from young and old rats by Ilumina BeadChip arrays. Promoter DNA methylation was measured by Sequenom MassArray in 46 genes that showed differential expression with age, and correlations with expression were established. Alterations in morphological and cellular processes with age were determined by immunohistochemical methods. RESULTS: Age-related changes in gene expression were found at 623 loci (>1.5-fold, false discovery rate [FDR] <5%), with a significant (FDR < 0.05) enrichment in genes previously implicated in islet-cell function (Enpp1, Abcc8), type 2 diabetes (Tspan8, Kcnq1), inflammatory processes (Cxcl9, Il33) and extracellular matrix organisation (Col3a1, Dpt). Age-associated transcriptional differences negatively correlated with promoter DNA methylation at several loci related to inflammation, glucose homeostasis, cell proliferation and cell-matrix interactions (Il33, Cxcl9, Gpr119, Fbp2, Col3a1, Dpt, Spp1). CONCLUSIONS/INTERPRETATION: Our findings suggest that a significant proportion of pancreatic islets develop a low-grade 'chronic' inflammatory status with ageing and this may trigger altered functional plasticity. Furthermore, we identified changes in expression of genes previously linked to type 2 diabetes and associated changes in DNA methylation that could explain their age-associated dysregulation. These findings provide new insights into key (epi)genetic signatures of the ageing process in islets.
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CXCL9 increases with age in humans.
“Some studies in humans have found CXCL9 to increase with age93–98”
From An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging (2021) · cites this paper as [98]
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References 40 · Cited by 31
- Authors
- Sandovici, I., Hammerle, C. M., Cooper, W. N., Smith, N. H., Tarry-Adkins, J. L., Dunmore, B. J., Bauer, J., Andrews, S. R., Yeo, G. S. H., Ozanne, S. E., & Constância, M.
- Affiliations
- University of Cambridge (GB)
- Babraham Institute (GB)
- Corresponding author
- Ozanne, Susan E.
- Constância, Miguel
- ORCID
- Venue
- Diabetologia
- Published
- 2015-12-23
- Volume
- 59
- Issue
- 3
- Pages
- 502-511
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- PMC
- PMC4742511
- OpenAlex
- W2211948011
- Cited by
- 31
- References
- 40
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 3 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 4
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Diabetologia (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo (cc-by)
- Funders
- Medical Research Council (MRC_MC_UU_12012/4)
- Topics
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- aging, type 2 diabetes, pancreatic islets, inflammation, DNA methylation, gene expression, epigenetics, islet function, extracellular matrix, glucose homeostasis
- MeSH terms
- Aging, Animals, Diabetes Mellitus, Type 2, Inflammation, Islets of Langerhans, Male, Phosphoric Diester Hydrolases, Pyrophosphatases, DNA Methylation, Collagen Type III, Epigenesis, Genetic, Rats, KCNQ1 Potassium Channel, Chemokine CXCL9, Tetraspanins, Sulfonylurea Receptors
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