| Title |
Biomarkers in Islet Cell Transplantation for Type 1 Diabetes
|
|---|---|
| Published in |
Current Diabetes Reports, September 2018
|
| DOI | 10.1007/s11892-018-1059-4 |
| Pubmed ID | |
| Authors |
Fatimah T. AlRashidi, Kathleen M. Gillespie |
| Abstract |
Islet transplantation, an important approach to achieve insulin independence for individuals with type 1 diabetes, is limited by the lack of accurate biomarkers to track beta-cell death post islet infusion. In this review, we will discuss existing and recently described biomarkers. As beta cells are killed by the immune system, fragments of beta cell-specific cell-free DNA and proteins are released into the periphery. Several different strategies to identify these fragments have been described. Some circulating, non-coding microRNAs, particularly miRNA-375 are also showing potential to reflect the rate of beta cell loss post-clinical islet transplantation. Recent advances in identifying accurate beta cell-specific biomarkers such as differentially methylated insulin cell-free DNA and circulating miRNA-375 may help predict clinical outcomes. More studies are required to examine the robustness of these biomarkers to detect chronic beta-cell loss in islet transplantation recipients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 28% |
| Student > Master | 6 | 14% |
| Researcher | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Student > Doctoral Student | 2 | 5% |
| Other | 1 | 2% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 30% |
| Medicine and Dentistry | 6 | 14% |
| Engineering | 3 | 7% |
| Immunology and Microbiology | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 16 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2018.
All research outputs
#15,871,137
of 23,576,969 outputs
Outputs from Current Diabetes Reports
#664
of 1,024 outputs
Outputs of similar age
#214,012
of 336,743 outputs
Outputs of similar age from Current Diabetes Reports
#38
of 48 outputs
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