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- Teixeira, Pedro F., et al.
(författare)
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Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data
- 2024
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Ingår i: DIABETOLOGIA. - : SPRINGER. - 0012-186X .- 1432-0428. ; 67, s. 985-994
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Tidskriftsartikel (refereegranskat)abstract
- The type 1 diabetes community is coalescing around the benefits and advantages of early screening for disease risk. To be accepted by healthcare providers, regulatory authorities and payers, screening programmes need to show that the testing variables allow accurate risk prediction and that individualised risk-informed monitoring plans are established, as well as operational feasibility, cost-effectiveness and acceptance at population level. Artificial intelligence (AI) has the potential to contribute to solving these issues, starting with the identification and stratification of at-risk individuals. ASSET (AI for Sustainable Prevention of Autoimmunity in the Society; www.asset.healthcare) is a public/private consortium that was established to contribute to research around screening for type 1 diabetes and particularly to how AI can drive the implementation of a precision medicine approach to disease prevention. ASSET will additionally focus on issues pertaining to operational implementation of screening. The authors of this article, researchers and clinicians active in the field of type 1 diabetes, met in an open forum to independently debate key issues around screening for type 1 diabetes and to advise ASSET. The potential use of AI in the analysis of longitudinal data from observational cohort studies to inform the design of improved, more individualised screening programmes was also discussed. A key issue was whether AI would allow the research community and industry to capitalise on large publicly available data repositories to design screening programmes that allow the early detection of individuals at high risk and enable clinical evaluation of preventive therapies. Overall, AI has the potential to revolutionise type 1 diabetes screening, in particular to help identify individuals who are at increased risk of disease and aid in the design of appropriate follow-up plans. We hope that this initiative will stimulate further research on this very timely topic.
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| 2. |
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| 3. |
- Heinonen, S., et al.
(författare)
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Mitochondria-related transcriptional signature is downregulated in adipocytes in obesity: a study of young healthy MZ twins
- 2017
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Ingår i: Diabetologia. - : Springer Science and Business Media LLC. - 1432-0428 .- 0012-186X. ; 60:1, s. 169-181
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Tidskriftsartikel (refereegranskat)abstract
- Low mitochondrial activity in adipose tissue is suggested to be an underlying factor in obesity and its metabolic complications. We aimed to find out whether mitochondrial measures are downregulated in obesity also in isolated adipocytes. We studied young adult monozygotic (MZ) twin pairs discordant (n = 14, intrapair difference Delta BMI ae 3 kg/m(2)) and concordant (n = 5, Delta BMI
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| 4. |
- Idevall Hagren, Olof, 1980-, et al.
(författare)
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Keeping pace : the primary cilium as the conducting baton of the islet
- 2024
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Ingår i: Diabetologia. - : Springer. - 0012-186X .- 1432-0428. ; 67, s. 773-782
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Forskningsöversikt (refereegranskat)abstract
- Primary cilia are rod-like sensory organelles that protrude from the surface of most mammalian cells, including the cells of the islet, and mounting evidence supports important roles of these structures in the regulation of beta cell function and insulin secretion. The sensory abilities of the cilium arise from local receptor activation that is coupled to intrinsic signal transduction, and ciliary signals can propagate into the cell and influence cell function. Here, we review recent advances and studies that provide insights into intra-islet cues that trigger primary cilia signalling; how second messenger signals are generated and propagated within cilia; and how ciliary signalling affects beta cell function. We also discuss the potential involvement of primary cilia and ciliary signalling in the development and progression of type 2 diabetes, identify gaps in our current understanding of islet cell cilia function and provide suggestions on how to further our understanding of this intriguing structure.
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