Faculty Opinions recommendation of Simplifying prediction of disease progression in pre-symptomatic type 1 diabetes using a single blood sample.

Author(s):  
Matthias von Herrath ◽  
Susanne Pfeiffer
2021 ◽  
Vol 10 (7) ◽  
Author(s):  
Johnna D Wesley ◽  
Susanne Pfeiffer ◽  
Darius Schneider ◽  
David Friedrich ◽  
Nikole Perdue ◽  
...  

Diabetologia ◽  
2014 ◽  
Vol 57 (5) ◽  
pp. 902-908 ◽  
Author(s):  
Jennifer Raab ◽  
Eleni Z. Giannopoulou ◽  
Simone Schneider ◽  
Katharina Warncke ◽  
Miriam Krasmann ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Caroline A. Brorsson ◽  
Lotte B. Nielsen ◽  
Marie Louise Andersen ◽  
Simranjeet Kaur ◽  
Regine Bergholdt ◽  
...  

Genome-wide association studies (GWAS) have identified over 40 type 1 diabetes risk loci. The clinical impact of these loci onβ-cell function during disease progression is unknown. We aimed at testing whether a genetic risk score could predict glycemic control and residualβ-cell function in type 1 diabetes (T1D). As gene expression may represent an intermediate phenotype between genetic variation and disease, we hypothesized that genes within T1D loci which are expressed in islets and transcriptionally regulated by proinflammatory cytokines would be the best predictors of disease progression. Two-thirds of 46 GWAS candidate genes examined were expressed in human islets, and 11 of these significantly changed expression levels following exposure to proinflammatory cytokines (IL-1β+ IFNγ+ TNFα) for 48 h. Using the GWAS single nucleotide polymorphisms (SNPs) from each locus, we constructed a genetic risk score based on the cumulative number of risk alleles carried in children with newly diagnosed T1D. With each additional risk allele carried, HbA1c levels increased significantly within first year after diagnosis. Network and gene ontology (GO) analyses revealed that several of the 11 candidate genes have overlapping biological functions and interact in a common network. Our results may help predict disease progression in newly diagnosed children with T1D which can be exploited for optimizing treatment.


PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e64632 ◽  
Author(s):  
Marie Louise Max Andersen ◽  
Morten Arendt Rasmussen ◽  
Sven Pörksen ◽  
Jannet Svensson ◽  
Jennifer Vikre-Jørgensen ◽  
...  

2005 ◽  
Vol 2005 (4) ◽  
pp. 202-209 ◽  
Author(s):  
Naxin Sun ◽  
Guiwen Yang ◽  
Heng Zhao ◽  
Huub F. J. Savelkoul ◽  
Liguo An

Macrophages (Mp) are implicated in both early and late phases in type 1 diabetes development. Recent study has suggested that a balance between reductive Mp (RMp) and oxidative Mp (OMp) is possible to regulate TH1/TH2 balance. The aim of this study is to investigate the redox status of peritoneal Mp and its cytokine profile during the development of autoimmune diabetes induced by multiple low-dose streptozotocin in BALB/c mice. Meanwhile, the polarization of TH1/TH2 of splenocytes or thymocytes was also examined. We found that peritoneal Mp appeared as an “incomplete” OMp phenotype with decreased icGSH along with disease progression. The OMp showed reduced TNF-α, IL-12, and NO production as well as defective phagocytosis activity compared to nondiabetic controls; however, there was no significant difference with IL-6 production. On the other hand, the levels of IFN-γor IL-4 of splenocytes in diabetic mice were significantly higher compared to the control mice. The ratio of IFN-γto IL-4 was also higher at the early stage of diabetes and then declined several weeks later after the occurrence of diabetes, suggesting a pathogenetic TH1 phenotype from the beginning gradually to a tendency of TH2 during the development of diabetes. Our results implied that likely OMp may be relevant in the development of type 1 diabetes; however, it is not likely the only factor regulating the TH1H/TH2 balance in MLD-STZ-induced diabetic mice.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 349-OR
Author(s):  
JOHN VIROSTKO ◽  
JONATHAN M. WILLIAMS ◽  
MELISSA A. HILMES ◽  
JORDAN J. WRIGHT ◽  
BRENNA D. HAMMEL ◽  
...  

Diabetes ◽  
2013 ◽  
Vol 62 (7) ◽  
pp. 2481-2491 ◽  
Author(s):  
M. Galgani ◽  
R. Nugnes ◽  
D. Bruzzese ◽  
F. Perna ◽  
V. De Rosa ◽  
...  

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Sven Pörksen ◽  
◽  
Lene Bjerke Laborie ◽  
Lotte Nielsen ◽  
Marie Louise Max Andersen ◽  
...  

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