Cell type-specific immune phenotypes predict loss of insulin secretion in new-onset type 1 diabetes.
| Citation | Dufort, Matthew J, et al. “Cell Type-Specific Immune Phenotypes Predict Loss of Insulin Secretion in New-Onset Type 1 Diabetes”. 2019. JCI Insight, vol. 4, no. 4, 2019. |
| Center | University of Washington |
| Author | Matthew J Dufort, Carla J Greenbaum, Cate Speake, Peter S Linsley |
| Keywords | autoimmunity, bioinformatics, diabetes, immunotherapy |
| Abstract |
The rate of decline in insulin secretion after diagnosis with type 1 diabetes (T1D) varies substantially among individuals and with age at diagnosis, but the mechanism(s) behind this heterogeneity are not well understood. We investigated the loss of pancreatic β cell function in new-onset T1D subjects using unbiased whole blood RNA-seq and verified key findings by targeted cell count measurements. We found that patients who lost insulin secretion more rapidly had immune phenotypes ("immunotypes") characterized by higher levels of B cells and lower levels of neutrophils, especially neutrophils expressing primary granule genes. The B cell and neutrophil immunotypes showed strong age dependence, with B cell levels in particular predicting rate of progression in young subjects only. This age relationship suggested that therapy targeting B cells in T1D would be most effective in young subjects with high pretreatment B cell levels, a prediction which was supported by data from a clinical trial of rituximab in new-onset subjects. These findings demonstrate a link between age-related immunotypes and disease outcome in new-onset T1D. Furthermore, our data suggest that greater success could be achieved by targeted use of immunomodulatory therapy in specific T1D populations defined by age and immune characteristics. |
| Year of Publication |
2019
|
| Journal |
JCI insight
|
| Volume |
4
|
| Issue |
4
|
| Date Published |
12/2019
|
| ISSN Number |
2379-3708
|
| DOI |
10.1172/jci.insight.125556
|
| Alternate Journal |
JCI Insight
|
| PMCID |
PMC6478408
|
| PMID |
30830868
|
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