| Title |
Autologous Cells for Kidney Bioengineering
|
|---|---|
| Published in |
Current Transplantation Reports, June 2016
|
| DOI | 10.1007/s40472-016-0107-8 |
| Pubmed ID | |
| Authors |
Bettina Wilm, Riccardo Tamburrini, Giuseppe Orlando, Patricia Murray |
| Abstract |
Worldwide, increasing numbers of patients are developing end-stage renal disease, and at present, the only treatment options are dialysis or kidney transplantation. Dialysis is associated with increased morbidity and mortality, poor life quality and high economic costs. Transplantation is by far the better option, but there are insufficient numbers of donor kidneys available. Therefore, there is an urgent need to explore alternative approaches. In this review, we discuss how this problem could potentially be addressed by using autologous cells and appropriate scaffolds to develop 'bioengineered' kidneys for transplantation. In particular, we will highlight recent breakthroughs in pluripotent stem cell biology that have led to the development of autologous renal progenitor cells capable of differentiating to all renal cell types and will discuss how these cells could be combined with appropriate scaffolds to develop a bioengineered kidney. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 33% |
| Student > Master | 11 | 23% |
| Researcher | 7 | 15% |
| Student > Bachelor | 6 | 13% |
| Other | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 21% |
| Medicine and Dentistry | 8 | 17% |
| Engineering | 8 | 17% |
| Agricultural and Biological Sciences | 6 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 August 2018.
All research outputs
#14,857,184
of 22,880,691 outputs
Outputs from Current Transplantation Reports
#82
of 168 outputs
Outputs of similar age
#204,442
of 343,019 outputs
Outputs of similar age from Current Transplantation Reports
#3
of 5 outputs
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So far Altmetric has tracked 168 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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