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- Tobias, Deirdre K, et al.
(författare)
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Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine
- 2023
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Ingår i: Nature Medicine. - 1546-170X. ; 29:10, s. 2438-2457
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Forskningsöversikt (refereegranskat)abstract
- Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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| 2. |
- Ahrén, Bo, et al.
(författare)
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Clinical measures of islet function: usefulness to characterize defects in diabetes.
- 2008
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Ingår i: Current Diabetes Reviews. - 1573-3998. ; 4:2, s. 129-145
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Tidskriftsartikel (refereegranskat)abstract
- In healthy individuals, the ability of the pancreatic islets to sense and respond appropriately to changes in plasma glucose levels maintains plasma glucose levels within a narrow range despite broad fluctuations in nutrient intake and variable "demand" for insulin imposed by changes in insulin sensitivity. This ability of the pancreatic islets is lost in type 2 diabetes (T2DM). For studies on the pathophysiology of T2DM, methods for analyzing islet function are therefore required. Many methods of varying degrees of complexity have been developed and used to measure pancreatic beta-cell function in humans and to characterize the defects existing in patients with T2DM or precursors thereof (impaired fasting glucose [IFG] and impaired glucose tolerance [IGT]). Significant, although perhaps less progress has been made toward development of methods to characterize alpha-cell function. This work presents an overview of clinical measures of islet function, from simple static measures such as HOMA-beta to the more complex dynamic measures such as those utilizing stepped hyperglycemic clamps and acute administration of arginine to obtain more detailed information regarding the interaction of glucose and non-glucose secretagogues. We emphazise the need for accurate measures of alpha-cell function, and we discuss the strengths and limitations of the various methods, highlighting the many aspects of both alpha- and beta-cell function that become impaired during development of T2DM.
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| 3. |
- Mishra, Rajashree, et al.
(författare)
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Genetic Discrimination Between LADA and Childhood-Onset Type 1 Diabetes Within the MHC
- 2020
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Ingår i: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 43:2, s. 418-425
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: The MHC region harbors the strongest loci for latent autoimmune diabetes in adults (LADA); however, the strength of association is likely attenuated compared with that for childhood-onset type 1 diabetes. In this study, we recapitulate independent effects in the MHC class I region in a population with type 1 diabetes and then determine whether such conditioning in LADA yields potential genetic discriminators between the two subtypes within this region. RESEARCH DESIGN AND METHODS: Chromosome 6 was imputed using SNP2HLA, with conditional analysis performed in type 1 diabetes case subjects (n = 1,985) and control subjects (n = 2,219). The same approach was applied to a LADA cohort (n = 1,428) using population-based control subjects (n = 2,850) and in a separate replication cohort (656 type 1 diabetes case, 823 LADA case, and 3,218 control subjects). RESULTS: The strongest associations in the MHC class II region (rs3957146, β [SE] = 1.44 [0.05]), as well as the independent effect of MHC class I genes, on type 1 diabetes risk, particularly HLA-B*39 (β [SE] = 1.36 [0.17]), were confirmed. The conditional analysis in LADA versus control subjects showed significant association in the MHC class II region (rs3957146, β [SE] = 1.14 [0.06]); however, we did not observe significant independent effects of MHC class I alleles in LADA. CONCLUSIONS: In LADA, the independent effects of MHC class I observed in type 1 diabetes were not observed after conditioning on the leading MHC class II associations, suggesting that the MHC class I association may be a genetic discriminator between LADA and childhood-onset type 1 diabetes.
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